1. Han, j. And M. Kamber, Data Mining Concepts, and Techniques. 2006: Morgan Kaufmann Publishers. 2. Lee, I.-N., S.-C. Liao, and M. Embrechts, Data mining techniques applied to medical information. Med. inform, 2000.

2. Obenshain, M.K., Application of Data Mining Techniques to Healthcare Data. Infection Control and Hospital Epidemiology, 2004.

3. Sandhya, J., et al., Classification of Neurodegenerative Disorders Based on Major Risk Factors Employing Machine Learning Techniques. International Journal of Engineering and Technology, 2010. Vol.2, No.4.

4. Gaganjot Kaur, Amit Chhabra, “Improved J48 Classification Algorithm for the prediction of Diabetes”, International Journal of Computer Applications(0975-8887) vol.98 No.22, July 2014. 

5 P. Radha, Dr. B. Srinivasan, “ Predicting Diabetes by consequencing the various Data mining Classification Techniques”, International Journal of Innovative Science, Engineering & Technology, vol. 1 Issue 6, August 2014, pp. 334-339 

6. Mohtaram Mohammadi, Mitra Hosseini, Hamid Tabatabaee, “Using Bayesian Network for the prediction and Diagnosis of Diabetes” , MAGNT Research Report, vol.2(5), pp.892-902. 

7. Sudesh Rao, V. Arun Kumar, “Applying Data mining Technique to predict the diabetes of our future generations”, ISRASE eXplore digital library, 2014. 

8. Veena vijayan, Aswathy Ravikumar, “ Study of Data mining algorithms for prediction and diagnosis of Diabetes Mellitus”, International Journal of Computer Applications (0975-8887) vol. 95-No.17, June 2014 
9. Arwa Al-Rofiyee, Maram Al-Nowiser, Nasebih Al-Mufad, Dr. Mohammed Abdullah AL-Hagery, “Using Prediction Methods in Data mining for Diabetes Diagnosis'http://www.psu.edu

10. K.R Lakshmi, S.Premkumar, “ Utilization of Data mining Techniques for prediction of Diabetes Disease survivability”, International Journal of Scientific & Engineering Research, vol.4 Issue 6, June 2013. 

11. Murat Koklu and Yauz Unal, “ Analysis of a International population of Diabetic patients Databases with Classifiers”, International Journal of Medical,Health,Pharmaceutical and Biomedical Engineering”, vol.7 No.8, 2013. 

12. Rupa Bagdi, Prof. Pramod Patil,” Diagnosis of Diabetes Using OLAP and Data Mining Integration”, International Journal of Computer Science & Communication Networks,Vol 2(3), pp. 314-322. 

13. Ashwinkumar.U.M and Dr. Anandakumar K.R, “Predicting Early Detection of cardiac and Diabetes symptoms using Data mining techniques”, International conference on computer Design and Engineering, vol.49, 2012. 

14. S. Sapna, Dr. A. Tamilarasi and M. Pravin Kumar, “Implementation of Genetic Algorithm in predicting Diabetes”, International Journal of computer science, vol.9 Issue 1, No.3, January 2012. 

15. Manaswini pradhan, Dr. Ranjit kumar sahu, “ predict the onset of diabetes disease using Artificial Neural Network”, “ International Journal of Computer Science & Emerging Technologies, vol.2 Issue 2, April 2011. 

16. Muhammad Waqar Aslam and Asoke Kumar Nandi, “Detection of Diabetes using Genetic Programming”, European Signal Processing Conference (EUSIPCO-2010), ISSN 2076-1465. 

17. Huy Nguyen Anh Pham and Evangelos Triantaphyllou, “ Prediction of Diabetes by Employing New Data 
mining approach which balances Fitting and Generalization Springer 2008. 

[1]	R. Rangayyan, N. Mudigonda, and J. Desautels, “Boundary modeling and shape analysis methods for classification of mam-mographic masses,”  Med. Biol. Eng. Comput., vol. 38, no. 5, pp. 487–496, 2000.R. Nicole, "The Last Word on Decision Theory," J. Computer Vision, submitted for publication. (Pending publication)
[2]	N. Mudigonda, R. Rangayyan, and J. Desautels, “Gradient and texture analysis for the classification of mammographic masses,” IEEE Trans.Med. Imag., vol. 19, no. 10, pp. 1032–1043, Oct. 2000.
[3]	J. Kilday, F. Palmieri, and M. Fox, “Classifying mammographic lesionsusing computerized image analysis,” IEEE Trans. Med. Imag., vol. 12,no. 4, pp. 664–669, Dec. 1993.S.P. Bingulac, “On the Compatibility of Adaptive Controllers,” Proc. Fourth Ann. Allerton Conf. Circuits and Systems Theory, pp. 8-16, 1994. (Conference proceedings)
[4]	S. Pohlman, K. Powell, N. Obuchowski, W. Chilcote, andS. Grundfest-Broniatowski, “Quantitative classification of breast tumors in digitized mammograms,” Med. Phys., vol. 23, no. 8, pp. 1337–1345,Aug. 1996.
[5]	A. Rojas Dominguez and A. Nandi, “Toward breast cancer diagnosis based on automated segmentation of masses in mammograms,”Pattern Recog., vol. 42, no. 6, pp. 1138–1148, Jun. 2009
[6]	B. Sahiner, H. Chan, N. Petrick, M. Helvie, and M. Goodsitt, “Computerized characterization of masses on mammograms: The rubber bandstraightening transform and texture analysis,” Med. Phys., vol. 25, no. 4,pp. 516–526, Apr. 1998.
[7]	M .MeselhyEltoukhy, I. Faye, and B. Belhaouari Samir, “A comparison of wavelet and curvelet for breast cancer diagnosis in digital mammogram,”Comput. Biol. Med., vol. 40, no. 4, pp. 384–391, Apr. 2010.
[8]	]  R. Kohavi and G. H. John, “Wrappers for feature subset selection,” Artif.Intell., vol. 97, no. 1/2, pp. 273–324, Dec. 1997.
[9]	I. Guyon, J. Weston, S. Barnhill, and V. Vapnik, “Gene selection for cancer classification using support vector machines,” Mach. Learn., vol. 46,no. 1, pp. 389–422, 2002.
[10]	P. A. Estévez, M. Tesmer, C. A. Perez, and J. M. Zurada, “Normalized mutual information feature selection,” IEEE Trans. Neural Netw., vol. 20,no. 2, pp. 189–201, Feb. 2009.
[11]	P. A. Mundra and J. C. Rajapakse, “SVM-RFE with MRMR filter for gene selection,” IEEE Trans. NanoBiosci., vol. 9, no. 1, pp. 31–37,Mar. 2010
[12]	H. Peng, F. Long, and C. Ding, “Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy, ”IEEE Trans. Pattern Anal. Mach. Intell., vol. 27, no. 8, pp. 1226–1238,Aug. 2005.

1.	Debasis Das, U.A. Lanjewar and S.J. Sharma,“The Art of Cryptology: From Ancient Number System to Strange Number System”, IJAIEM, Volume 2, Issue 4, April 2013, ISSN 2319-4847.
2.	David Naccache, “Cryptography and Security: From Theory to Applications”, Springer, 2012.
3.	H.B. Pethe, Dr. S. R. Pande, “An overview of Cryptographic Hash Function M-5 and SHA”, IOSR-JCE, 2016.
4.	Ius Mentis: Law and technology explained, “The MD5 cryptographic hash function”, Oct 1, 2005.
5.	Alok Kumar Kasgar, Mukesh Kumar Dhariwal, NeerajnTantubay, Hina Malviya, “A Review Paper of Message Digest 5 (MD5)”, IJMEMR, Volume1, Issue 4, December 2013, ISSN: 2320-9984 (Online).
6.	Evgeny Milanov, “The RSA Algorithm”, June, 2009.
7.	Avi Kak, “Public-Key Cryptography and the RSA Algorithm”, Lecture Notes on “Computer and Network Security”, February 16, 2017.
8.	William Stallings, “Cryptography and Network Security: Principles and Practices”, Publisher: Prentice Hall, November 16, 2005, Pages-592.

1.N. Krishnan, C. Nelson Kennedy Babu, V.V. Joseph Raja pandi anand N. Richard Devaraj, A Fuzzy Image Segmentation using Feed forward Neural Networks with Supervised Learning. Proceedings of the International Conference on Cognition and Recognition.
2.	R. J. Zawadzki, A. R. Fuller, D. F. Wiley, B. Hamann,S. S. Choi, and J. S. Werner, Adaptation of a support vector machine algorithm for segmentation and visualization of retinal structures in volumetric optical coherence tomography data sets.Journal of Biomedical Optics, vol. 12, no. 4, pp. 041 206, 1–8, 2007.
3.	A.R. Fuller, R. J. Zawadzki, S. Choi, D. F. Wiley, J. S. Werner, and B. Hamann, Segmentation of three-dimensional retinal image data. . IEEE Transactions on, vol. 13, no. 6, pp. 1719–1726, 2007	
4.	Jayamala K. Patil, Raj Kumar, “Advances In Image Processing For Detection of Plant Diseases” JABAR,vol. 2(2), pp. 135-141, June-2011.
5.	Mr. Pramod and S. landge , Automatic Detection and Classification of Plant Disease through Image Processing. International Journal of Advanced Research in Computer Science and Software Engineering, Volume 3, Issue 7, ISSN: 2277 128X, 2013.
6.	S. Arivazhagan, R. Newlin Shebiah, S. Ananthi, S. Vishnu Varthini, Detection of unhealthy region ofplant leaves and classification of plant leaf diseases using texture features. CIGR, vol. 15(1), pp. 211-217, March 2013.
7.	Dodla. Likhith Reddy, Dr. D Prathyusha Reddy.” Texture Image Segmentation Based on threshold Techniques. “International Journal of Computer Engineering in Research Trends., vol.4, no.3, pp. 69-75, 2017.
8.	Venkata Srinivasu Veesam, Bandaru Satish Babu.” A Relative Study on the Segmentation Techniques of Image Processing.“International Journal of Computer Engineering in Research Trends., vol.4, no.5, pp. 155-160, 2017.

[1]	M.A.Hearst, “Automatic acquisition of hyponyms from large text corpora,” in Proc.14th Conf. Comput. Linguistics, 1992, vol. 2,pp. 539–545
[2]	F.M.Suchanek, G.Ifrim, and G.Weikum, “Combining linguistic and statisticalanalysis to extract relations from web documents,”in Proc. 12th ACM SIGKDD Int. Conf. Knowl. Discovery Data Mining, 2006, pp. 712–717.
[3]	E.-A. Dietz, D. Vandic, and F. Frasincar, “TaxoLearn: A semantic approach to domain taxonomy learning,” in Proc. IEEE/WIC/ACM Int. Joint Conf. Web Intell. Intell. Agent Technol., 2012, pp. 58–65.
[4]	W. Wang, P. Mamaani Barnaghi, and A. Bargiela,“Probabilistic topic models for learning terminological ontologies,” IEEE Trans.Knowl. Data Eng., vol. 22, no. 7, pp. 1028–1040, Jul. 2010.
[5]	Z. Kozareva and E. Hovy, “A semi-supervised method to learn and construct taxonomies using the web,” in Proc. Conf. Empirical Methods Natural Language Process., 2010, pp. 1110–1118.
[6]	P. Velardi, S. Faralli, and R. Navigli, “OntoLearn Reloaded: A graph-based algorithm for taxonomy induction,” Comput. Linguistics,vol. 39, no. 3, pp. 665–707, 2013.
[7]	K. Meijer, F. Frasincar, and F. Hogenboom, “A semantic approachfor extracting domain taxonomies from text,” Decision SupportSyst., vol. 62, pp. 78–93, 2014.
[8]	Y.-B. Kang, P. D. Haghighi, and F. Burstein, “CFinder: An Intelligent Key Concept Finder from Text for Ontology Development,”Expert Syst. Appl., vol. 41, no. 9, pp. 4494–4504, 2014.
[9]	Yong-Bin Kang, Pari Delir Haghigh, and Frada Burstein,”TaxoFinder: A graph-based approach for taxonomy learning.” Vol.28, no 2,2016.
[10]	Satish Kumar, Sujan Babu Vadde, ” Typicality Based Content-Boosted Collaborative Filtering  Recommendation Framework. “International Journal of Computer Engineering in Research Trends., vol.2, no.11, pp. 809-813, 2015.
[11]	Y.Usha Sree,P.Ragha Vardhani.” Pattern Finding in Large Datasets with Big Data Analytics Mechanism. “International Journal of Computer Engineering in Research Trends., vol.2, no.5, pp. 359-364, 2015.

[1] Xiaojiang Lei, Xueming Qian, Member, IEEE, and Guoshuai Zhao, “Rating Prediction based on Social Sentiment from Textual Review”, IEEE Trans. VOL. 18, NO. 9, 2016.
[2] K. H. L. Tso-Sutter, L. B. Marinho, L. Schmidt-Thieme, “Tag-aware recommender systems by fusion of collaborative filtering algorithms”, in Proceedings of the 2008 ACM symposium on Applied computing, 2008, pp. 1995-1999.
[3] X. Qian, H. Feng, G. Zhao, and T. Mei, “Personalized recommendation combining user interest and social circle”, IEEE Trans. Knowledge and data engineering. 2014, pp. 1763-1777.
[4] X. Yang, H. Steck, and Y. Liu, “Circle-based recommendation in online social networks”, in Proc. 18th ACM
SIGKDD Int. Conf. KDD, New York, NY, USA, Aug. 2012, pp. 1267–1275.
[5] M. Jiang, P. Cui, R. Liu, Q. Yang, F. Wang, W. Zhu, and S. Yang, “Social contextual recommendation”, in proc. 21st ACM Int. CIKM, 2012, pp. 45-54.
[6] H. Feng, and X. Qian, “Recommendation via user‟s personality and social contextual”, in Proc. 22nd ACM international conference on information & knowledge management. 2013, pp. 1521-1524.
[7] F. Li, N. Liu, H. Jin, K. Zhao, Q. Yang, X. Zhu, “Incorporating reviewer and product information for review rating prediction,” in Proceedings of the Twenty-Second international joint conference on Artificial Intelligence, 2011, pp. 1820-1825.
[8] G. Ganu, N. Elhadad, A Marian, “Beyond the stars: Improving rating predictions using Review text content”, in 12th International Workshop on the Web and Databases (WebDB 2009). pp. 1-6.
[9] Y. Ren, J. Shen, J. Wang, J. Han, and S. Lee, “Mutual Verifiable Provable Data Auditing in Public Cloud Storage”, Journal of Internet Technology, vol. 16, no. 2, 2015, pp. 317-323.
[10] Y. Zhang, G. Lai, M. Zhang, Y. Zhang, Y. Liu, S. Ma, “Explicit factor models for explainable recommendation based on phrase-level sentiment analysis”, in proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval, 2014.
[11] X. Lei, and X. Qian, “Rating prediction via exploring service reputation”, 2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP), Oct 19-21, 2015, Xiamen, China. pp.1-6.
[12] B. Sarwar, G. Karypis, J. Konstan, and J. Reidl, “Item-based collaborative filtering recommendation algorithms”, in Proc. 10th International Conference on World Wide Web, 2001, pp. 285-295.
[13] K. H. L. Tso-Sutter, L. B.Marinho, L. Schmidt-Thieme, “Tag-aware recommender systems by fusion of collaborative filtering algorithms”, in Proceedings of the 2008 ACM symposium on Applied computing, 2008, pp. 1995-1999.
[14] R. Salakhutdinov, and A. Mnih, “Probabilistic matrix factorization”, in NIPS, 2008.
[15] X. Qian, H. Feng, G. Zhao, and T. Mei, “Personalized recommendation combining user interest and social circle”, IEEE Trans. Knowledge and data engineering. 2014, pp. 1763-1777.
[16] L. Qu, G. Ifrim, G. Weikum, “The bag-of-opinions method for review rating prediction from sparse text patterns”, in Proc. 23rd International Conference on Computational Linguistics, 2010, pp. 913–921.
[17] K. Zhang, Y. Cheng, W. Liao, A. Choudhary, “Mining millions of reviews: a technique to rank products based on importance of reviews”, in Proceedings of the 13th International Conference on Electronic Commerce, Aug. 2011, pp. 1-8.
[18] B. Pang, Bo, L. Lee, and S. Vaithyanathan, “Thumbs up? Sentiment classification using machine learning techniques”, in Proc. EMNLP, 2002, pp. 79-86.
[19] D. Tang, Q. Bing, T. Liu, “Learning semantic representations of users and products for document level sentiment classification”, in Proc. 53th Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, Beijing, China, July 26-31, 2015, pp. 1014–1023.
[20] T. Nakagawa, K. Inui, and S. Kurohashi, “Dependency tree-based sentiment classification using CRFs with
Hidden Variables”, NAACL, 2010, pp.786-794.
[21] Sunil B. Mane, Kruti Assar, Priyanka Sawant, & Monika Shinde,” Product Rating using Opinion Mining” International Journal of Computer Engineering In Research Trends., vol.4, no.5, pp. 161-168, 2017.
[22] K.Arun A.Srinagesh and M.Ramesh, ”Twitter Sentiment Analysis on Demonetization tweets in India Using R language. “International Journal of Computer Engineering in Research Trends., vol.4, no.6, pp. 252- 258, 2017.
[23] TekurVijetha, M.SriLakshmi and Dr.S.PremKumar,” Survey on Collaborative Filtering and content-Based Recommending. “International Journal of Computer Engineering in Research Trends., vol.2, no.9, pp. 594- 599, 2015.
[24] N.Satish Kumar, Sujan Babu Vadde, ” Typicality Based Content-Boosted Collaborative Filtering Recommendation Framework. “International Journal of Computer Engineering in Research Trends., vol.2, no.11, pp. 809-813, 2015.
[25] D.Ramanjaneyulu,U.Usha Rani,”In Service Oriented MSN Providing Trustworthy Service Evaluation. “International Journal of Computer Engineering in Research Trends., vol.2, no.12, pp. 1192-1197, 2015.

[1] Xiaojiang Lei, Xueming Qian, Member, IEEE, and Guoshuai Zhao, “Rating Prediction based on Social Sentiment from Textual Review”, IEEE Trans. VOL. 18, NO. 9, 2016.
[2] K. H. L. Tso-Sutter, L. B. Marinho, L. Schmidt-Thieme, “Tag-aware recommender systems by fusion of collaborative filtering algorithms”, in Proceedings of the 2008 ACM symposium on Applied computing, 2008, pp. 1995-1999.
[3] X. Qian, H. Feng, G. Zhao, and T. Mei, “Personalized recommendation combining user interest and social circle”, IEEE Trans. Knowledge and data engineering. 2014, pp. 1763-1777.
[4] X. Yang, H. Steck, and Y. Liu, “Circle-based recommendation in online social networks”, in Proc. 18th ACM
SIGKDD Int. Conf. KDD, New York, NY, USA, Aug. 2012, pp. 1267–1275.
[5] M. Jiang, P. Cui, R. Liu, Q. Yang, F. Wang, W. Zhu, and S. Yang, “Social contextual recommendation”, in proc. 21st ACM Int. CIKM, 2012, pp. 45-54.
[6] H. Feng, and X. Qian, “Recommendation via user‟s personality and social contextual”, in Proc. 22nd ACM international conference on information & knowledge management. 2013, pp. 1521-1524.
[7] F. Li, N. Liu, H. Jin, K. Zhao, Q. Yang, X. Zhu, “Incorporating reviewer and product information for review rating prediction,” in Proceedings of the Twenty-Second international joint conference on Artificial Intelligence, 2011, pp. 1820-1825.
[8] G. Ganu, N. Elhadad, A Marian, “Beyond the stars: Improving rating predictions using Review text content”, in 12th International Workshop on the Web and Databases (WebDB 2009). pp. 1-6.
[9] Y. Ren, J. Shen, J. Wang, J. Han, and S. Lee, “Mutual Verifiable Provable Data Auditing in Public Cloud Storage”, Journal of Internet Technology, vol. 16, no. 2, 2015, pp. 317-323.
[10] Y. Zhang, G. Lai, M. Zhang, Y. Zhang, Y. Liu, S. Ma, “Explicit factor models for explainable recommendation based on phrase-level sentiment analysis”, in proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval, 2014.
[11] X. Lei, and X. Qian, “Rating prediction via exploring service reputation”, 2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP), Oct 19-21, 2015, Xiamen, China. pp.1-6.
[12] B. Sarwar, G. Karypis, J. Konstan, and J. Reidl, “Item-based collaborative filtering recommendation algorithms”, in Proc. 10th International Conference on World Wide Web, 2001, pp. 285-295.
[13] K. H. L. Tso-Sutter, L. B.Marinho, L. Schmidt-Thieme, “Tag-aware recommender systems by fusion of collaborative filtering algorithms”, in Proceedings of the 2008 ACM symposium on Applied computing, 2008, pp. 1995-1999.
[14] R. Salakhutdinov, and A. Mnih, “Probabilistic matrix factorization”, in NIPS, 2008.
[15] X. Qian, H. Feng, G. Zhao, and T. Mei, “Personalized recommendation combining user interest and social circle”, IEEE Trans. Knowledge and data engineering. 2014, pp. 1763-1777.
[16] L. Qu, G. Ifrim, G. Weikum, “The bag-of-opinions method for review rating prediction from sparse text patterns”, in Proc. 23rd International Conference on Computational Linguistics, 2010, pp. 913–921.
[17] K. Zhang, Y. Cheng, W. Liao, A. Choudhary, “Mining millions of reviews: a technique to rank products based on importance of reviews”, in Proceedings of the 13th International Conference on Electronic Commerce, Aug. 2011, pp. 1-8.
[18] B. Pang, Bo, L. Lee, and S. Vaithyanathan, “Thumbs up? Sentiment classification using machine learning techniques”, in Proc. EMNLP, 2002, pp. 79-86.
[19] D. Tang, Q. Bing, T. Liu, “Learning semantic representations of users and products for document level sentiment classification”, in Proc. 53th Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, Beijing, China, July 26-31, 2015, pp. 1014–1023.
[20] T. Nakagawa, K. Inui, and S. Kurohashi, “Dependency tree-based sentiment classification using CRFs with
Hidden Variables”, NAACL, 2010, pp.786-794.
[21] Sunil B. Mane, Kruti Assar, Priyanka Sawant, & Monika Shinde,” Product Rating using Opinion Mining” International Journal of Computer Engineering In Research Trends., vol.4, no.5, pp. 161-168, 2017.
[22] K.Arun A.Srinagesh and M.Ramesh, ”Twitter Sentiment Analysis on Demonetization tweets in India Using R language. “International Journal of Computer Engineering in Research Trends., vol.4, no.6, pp. 252- 258, 2017.
[23] TekurVijetha, M.SriLakshmi and Dr.S.PremKumar,” Survey on Collaborative Filtering and content-Based Recommending. “International Journal of Computer Engineering in Research Trends., vol.2, no.9, pp. 594- 599, 2015.
[24] N.Satish Kumar, Sujan Babu Vadde, ” Typicality Based Content-Boosted Collaborative Filtering Recommendation Framework. “International Journal of Computer Engineering in Research Trends., vol.2, no.11, pp. 809-813, 2015.
[25] D.Ramanjaneyulu,U.Usha Rani,”In Service Oriented MSN Providing Trustworthy Service Evaluation. “International Journal of Computer Engineering in Research Trends., vol.2, no.12, pp. 1192-1197, 2015.

[1] D. Liu, X. Hua, L. Yang, M. Wang, and H. Zhang. Tag ranking. Proceedings of the IEEE International Conference on World Wide Web, 2009: 351-360.
[2] M. Wang, K. Yang, X. Hua, and H. Zhang. Towards relevant and diverse search of social images. IEEE Transactions on Multimedia, 12(8):829-842, 2010.
[3] G. Agrawal, R. Chaudhary. Relevancy tag ranking. In Computer and Communication Technology, pp. 169-173, IEEE, 2011.
[4] L. Chen, D. Xu, I. Tsang. Tag-based image retrieval improved by augmented features and group-based refinement. Multimedia, IEEE
Transactions on, 14(4), 1057-1067, 2012.
[5] L. Wu, R. Jin. Tag completion for image retrieval. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 35(3), 716-727, 2013.
[6] L. Chen, S. Zhu, Z. Li. Image retrieval via improved relevance ranking. In Control Conference, pp. 4620-4625, IEEE, 2014.
[7] X. Qian, D. Hua, Y. Tang, and T. Mei, “social image tagging with diverse semantics”, IEEE Trans. Cybernetics, vol.44, no. 12, 2014, pp. 2493-2508.
[8] XuemingQian, Yisi Zhao, Junwei Han: Image Location Estimation by Salient Region Matching. IEEE Transactions on Image Processing 24(11): 4348-4358 (2015)
[9] X.Qian, D. Lu, X. Liu, “Tag based image retrieval by user-oriented ranking”. Proceedings of International Conference on Multimedia Retrieval.ACM, 2015.
[10] 10. X. Qian, y. Xue, Y. Tang, X. Hou.”Landmark Summarization with Diverse Viewpoints”, IEEE Trans. Circuits and Systems for Video Technology, 2015
[11] 11. Xueming Qian, Dan Lu, Xiaoxiao Liu. Tag Based Image Search by Social Re-ranking. IEEE Transactions on, Multimedia 2016.
[12] Ajin P Thomas, Sruthi P.S, Jerry Rachel Jacob, Vandana V Nair, Reeba R,‖ Survey on Different Applications of Image Processing.‖ International Journal of Computer Engineering In Research Trends.,vol.4,no.2,pp. 13-19,2017.
[13] Trisha Chakraborty, Nikita Nalawade, Abhishri Manjre, Akanksha Sarawgi, Pranali P Chaudhari,‖ Review of Various Image Processing Techniques for Currency Note Authentication.‖ International Journal of Computer Engineering In Research Trends.,vol.3,no.3,pp. 119-122,2016.
[14] Gunjan, Er. Madan Lal,‖ Investigation of Various Image Steganography Techniques in Spatial Domain.‖ International Journal of Computer Engineering In Research Trends., vol.3,no.6,pp. 347-351,2016.
[15] G.Prasanthi, A.Somasekhar,‖ Anti-Theft Tracking and Controlling Of Vehicle According Us.‖ International Journal of Computer Engineering In Research Trends., vol.2, no.12, pp. 898-903, 2015.

[1]	Y. Li, A. Algarni, and N. Zhong, “Mining positive and negative patterns for relevance feature discovery,” in Proc. ACM SIGKDD Knowl. Discovery Data Mining, 2010, pp. 753–762.
[2]	N. Zhong, Y. Li, and S.-T. Wu, “Effective pattern discovery for text mining,” in IEEE Trans. Knowl. Data Eng., vol. 24, no. 1, pp. 30–44, Jan. 2012.
[3]	Z. Zhao, L. Wang, H. Liu, and J. Ye, “On similarity preserving feature selection,” in IEEE Trans. Knowl. Data Eng., vol. 25, no. 3, pp. 619–632, Mar. 2013.
[4]	YueLi,, Arif ”Relevance feature discovery for text mining” IEEE transaction on knowledge and data engineering,vol.27,no.6,  pp.1656-1669, june2015.
[5]	N. Azam and J. Yao, “Comparison of term frequency and document frequency based feature selection metrics in text categorization,”Expert Syst. Appl., vol. 39, no. 5, pp. 4760–4768,2012.
[6]	X. Li and B. Liu, “Learning to classify texts using positive andunlabeled data,” in Proc. 18th Int. Joint Conf. Artif. Intell., 2003,pp. 587–592.
[7]	Y. Li, A. Algarni, S.-T. Wu, and Y. Xue, “Mining negative relevancefeedback for information filtering,” in Proc. Web Intell. Intell.Agent Technol., 2009, pp. 606–613.
[8]	G. Salton and C. Buckley, “Term-weighting approaches in automatictext retrieval,” in Inf. Process. Manage., vol. 24, no. 5,pp. 513–523, Aug. 1988.
[9]	The Porter Stemmer home page (with the original paper and code): http://www.tartarus.org/~martin/PorterStemmer/ 988.
[10]	K.Arun  .SrinageshandM.Ramesh,”Twitter Sentiment Analysis on Demonetization tweets in India Using R language.”International Journal of Computer Engineering in Research Trends., vol.4, no.6, pp. 252- 258, 2017.
[11]	TekurVijetha, M.SriLakshmi andDr.S.PremKumar,”Survey on Collaborative Filtering and content-Based Recommending.”International Journal of Computer Engineering in Research Trends., vol.2, no.9, pp. 594- 599, 2015.
[12]	N.Satish Kumar, SujanBabuVadde,”Typicality Based Content-BoostedCollaborative Filtering RecommendationFramework.”International Journal of Computer Engineering in Research Trends., vol.2, no.11, pp. 809-813, 2015
[13]	B.Kundan,N.Poorna Chandra Rao and DrS.PremKumar,”Investigation on Privacy and Secure content of location based Queries.”International Journal of Computer Engineering in Research Trends., vol.2, no.9, pp. 543-546, 2015.

[1]	Shuyao Qi, Dingming Wu, and Nikos Mamoulis “Location Aware Keyword Query Suggestion Based on Document Proximity,” IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL. 28, NO. 1, JANUARY 2016.
[2]	D. Wu, M. L. Yiu, and C. S. Jensen, “Moving spatial keyword queries: Formulation, methods, and analysis,” ACM Trans. Database Syst., vol. 38, no. 1, pp. 7:1–7:47, 2013. 
[3]	Y. Lu, J. Lu, G. Cong, W. Wu, and C. Shahabi, “Efficient algorithms and cost models for reverse spatial-keyword k-nearest neighbor search,” ACM Trans. Database Syst., vol. 39, no. 2, pp. 13:1–13:46, 2014. 
[4]	R. Baeza-Yates, C. Hurtado, and M. Mendoza, “Query recommendation using query logs in search engines”, in Extending Database Technology, pp.588–596, 2004. 
[5]	P. Berkhin, “Bookmark-coloring algorithm for personalized pagerank computing,” Internet Math., vol. 3, pp. 41–62, 2006. 
[6]	 N. Craswell and M. Szummer, “Random walks on the click graph,” in Proc. 30th Annu. Int. ACM SIGIR Conf. Res. Develop. Inf. Retrieval , pp. 239–246, 2007. 
[7]	 H. Cao, D. Jiang, J. Pei, Q. He, Z. Liao, E. Chen, and H. Li, “Context-aware query suggestion by mining click-through and session data,” in Proc. 14th ACM SIGKDD Int. Conf. Knowl. Discovery Data Mining, pp. 875–883,2008.
[8]	M. P. Kato, T. Sakai, and K. Tanaka, “When do people use query suggestion Inf. Retr., vol. 16, no. 6, pp. 725–746, 2013.
[9]	H. Tong, C. Faloutsos, and J.-Y. Pan, “Fast random walk with restart and its applications,” in Proc. 6th Int. Conf. Data Mining, pp. 613–622, 2006.
[10]	N. Craswell and M. Szummer, “Random walks on the click graph,” in Proc. 30th Annu. Int. ACM SIGIR Conf. Res. Develop. Inf. Retrieval, pp. 239–246, 2007.
[11]	Y. Fujiwara, M. Nakatsuji, M. Onizuka, and M. Kitsuregawa, “Fast and exact top-k search for random walk with restart,” Proc. VLDB Endowment, vol. 5, no. 5, pp. 442–453, Jan. 2012. 
[12]	V. Swathi ,D. Saidulu , B. Chandrakala,” Enabling Secure and Effective Spatial Query Processing on the Cloud using Forward Spatial Transformation,” International Journal of Computer Engineering In Research Trends.,vol.4,no.7,pp.301-307, July2017.

[1] Heresh Seyedi and Barzan Tabe: “Appropriate placement of fault current limiting reactors in different HV substation arrangement” Circuits and systems, Vol. 3, pp. 252 -262, 2012.
[2] A.D Filomena, M. Reswner, R.H. Salim and A.S. Bretas “Distribution systems fault Analysis considering fault resistance estimation” International Journal of Electrical Power and Energy Systems, Vol. 33  No. 2, pp. 1326-1335, 2011.
[3] J. Schabbach, “Short-Circuit Currents” second edition, published by the Institution of Engineering and Technology (IET). London, UK.Vol. 3, pp. 230-236, June 2008.
[4] T. Roininen, C.E solver, H. Nordi, A. Bosma, P. Jonsson and A. Alfredsson, “ ABB Live Tank Circuit Breakers Application Guide” www.abb.com, pp. 1-4, 2006.
[5] Song HAN, Xhe-yan MAO and Young Chang “A Study on modeling of High-voltage short circuit current limiter in Electromechanical Transient Simulation”. International conference on power system technology, pp. 1-10, 2010. 
[6] B.W. Lee, J. Sim, K. B. Park and I.S Oh. “Practical Application issues of super conducting salt current limiters for Electric power systems”. IEEE Transactions on Applier super conducting, Vol. 18, No.2, pp. 620-623, 2008.
[7] D. Fedasynk, P. Serdyuk, Y. Semchyshyn and Lnv Polytechnic National University, “Resistance Super Conducting fault current limiter simulation and design,” 15th International Conference, Pocnam, 19-21, pp. 349-353, June 2008.
[8] K.H Hartong, “Is-limiter, the solution for high short circuit current application”, ABB calor Emarg, www.abb.com. 2002.
[9] J.F Arum, P.C Fernandez, E.H Rose, A.D Ajuz and A. Castanheira. “Brazillian successful experience in the usage of current limiting reactors for short circuit limitation”, International Conference on Power Systems Transients (IPSTOS) Montreal, Ia No.2, pp. 215 -220, June 2005.
[10] Z-X, Geng, X.Lin, J.-Y Xu and C. Tian “Effects of series reactor on short-circuit current and transient recovery voltage,” 2008 International Conference on high Voltage Engineering and Application, Changing Vol. 9, No. 3, pp.254-526, November 2008.
[11] J.J. Paserba. “How FACTS controllers benefit AC transmission systems,” IEEE, Vol, 2, No. 4, pp. 1-10, 2003.
[12] R.K Verma, R.M. Mathur, “Thyristor-based FACTS controllers for electrical transmission systems”, IEEE , Vol. 4, No. 3, pp. 277-288, 2002.
[13] B.K. Johnson, Benchmark Systems for Simulation of TCSC and SVC “IEEE transaction, Vol. 3, No. 3, pp. 234-255, 2002.
[14] S.S Rao, “Engineering optimization theory and practice” 4th Edition, John Wiley & Sons Inc, pp. 93, 2009.
[15] P. Suman Pramod Kumar, N. Vijaysimha and C.B Saravanan “Static synchronous series compensator for series compensation of BHV transmission line”, IJAREEVE Vol 2. Issue 7, pp 3183, July 2013.
[16] S. H. Kermanshachi and N. Sadati “Genetic Multivariable PID controller-Base on IMC, Annual Meeting of the North American Fussy Information Processing Society NAFIPS, Vol. 107, No. 3, pp. 174 -177, 2007.
[17] G. B. Tan, L. Jiang,  and Yang “A Novel Immune Genetic Algorithm-Base PID Controller. Leg. IEEE computer society. 3rd International Conference on National Computation, ICNC, Vol.  207, No. 4, pp. 282 -286, 2007.
[18] A. O’Dwyer, “Handbook of PI and PID controller Tuning Rules, 3rd editions, Imperial College Press, pp. 34, 2009.
[19] N. S. Nise, “Control System Engineering 3rd edition, (ECSA), pp. 67, 2006. 

[1]	Mateos, L., Berengena, J., Orgaz, F., Diz, J., & Fereres, E.,” A comparison between drip and furrow irrigation in cotton at two levels of water supply”, Agricultural Water Management, 19(4), 313e324, 1991.
[2]	Choudhary M.K, Shete D.T and Modi P.M, “A case study of micro and surface irrigation system for banana crop”, WAP/INCID/WS-MIW/93, 1993.
[3]	Chartzoulakis, K., Drosos, N.,” Water requirements of greenhouse grown pepper under drip irrigation”, Acta Hort. (ISHS) 449, pp. 175–180, 1997.
[4]	ASCE EWRI (Environmental and Water Resources Institute), “The ASCE standardized reference evapotranspiration equation.” Rep. of the Task Committee on Standardization of Reference Evapotranspiration, Reston. ASCE EWRI (Environmental and Water Resources Institute), “The ASCE standardized reference evapotranspiration equation.” Rep. of the Task Committee on Standardization of Reference Evapotranspiration, Reston, 2005.
[5]	Kumar D. Suresh and K. Palanisamib,” Impact of Drip Irrigation on Farming System: Evidence from Southern India”, Agricultural Economics Research Review, Vol. 23, pp 265-272, July-December 2010.
[6]	 Bahirat, J.B. and Jadav, H.G, “To study the cost, returns and profitability of rose production in Satara district, Maharashtra”, The Asian journal of horticulture, Vol. 6, Issue 2, pp. 313-315, December, 2011.
[7]	Martínez, J., & Reca, J., “Water use efficiency of surface drip irrigation versus an alternative subsurface drip irrigation method”, Journal of Irrigation and Drainage Engineering, 140(10), 04014030,2014.

[1] http://www.tomcat.apache.org/download-55.cgi
[2] http://www.oracle.com/pls/db102/homepage
[3] http://www.java.sun.com/j2ee/tutorial/1_3-fcs/doc/Servlets.html
[4] http://www.eclipse.org/documentation/
[5] http://download.oracle.com/javase/tutorial/jdbc/

[1]. Rappaport, T.S. (2001) Wireless Communications: Principles and Practice, Prentice Hall, USA.
[2]. Mkheimer, Baha and Jamoos, Ali (2012),‟ Evaluation and optimisation of GSM network in Jensen City, Palestine‟ International Journal Mobile Network Design and Innovation, Vol.4, No. 4, pp. 201–213
[3]. Halonen T., Romero J., Melero J.: GSM, GPRS, and EDGE Performance. John Wiley & Sons Ltd, 2003.
[4]. Dahlman, E., Parkvall, S. and Skold, J. (2011) 4G: LTE/LTE-Advanced for Mobile Broadband, Academic Press, UK.
[5]. Mishra, A.R. (2004) Fundamentals of Cellular Network Planning and Optimization 2G/2.5G/3G... Evolution to 4G, Wiley & Sons, Ltd., England.
[6].Mishra, A.R. (2007) Advanced Cellular Networks Planning and Optimization2G/2.5G/3G & Evolution to 4G, Wiley & Sons, Ltd., England.
[7]. Guowang M., Jens Z., Ki Won Sung; Ben S, (2016). Fundamentals of Mobile Data Networks. Cambridge University Press.
[8]. Quality of Service Indicators: GSM Mobile Networks - Quality of Service Survey. Portugal: Autoridade Nacional de Comunicações. October 2002
[9]. Mohamamd R.T, Ali A (2013) Root cause analysis and new practical schemes for improving of SDCCH accessing in cellular networks, International Conference on Information Communication and Embedded Systems (ICICES).
[10]. Na Yao, (2007) A CBR Approach for Radiation Pattern Control in WCDMA Networks,
[11]. Chantaraskul S, (2007) An intelligent-agent approach for congestion management in 3G networks, Elsevier Ltd.

[1]  Jingon Joung, and Sumei Sun, Senior Member IEEE, “EMA : Energy-Efficiency-Aware Multiple Access”, IEEE Communications Letters, Vol. 18, No. 6, June 2014.

[2]   Jingon Joung, and Sumei Sun, Senior Member IEEE, “User Assignment Algorithms for Energy-Efficiency-Aware Multiple Access (EMA) Systems” IEEE Communications Letters, Vol. 20, No. 8, August  2016.
       
[3]  C. Xiong, G. Y. Li, S. Zhang, Y. Chen, and S. Xu, “Energy efficient resource allocation in OFDMA networks,” in Proc. 2011 IEEE Global Communications Conference

[4]     S. Cui, A. J. Goldsmith and A. Bahai, “Energy constrained modulation optimization,” IEEE Trans. Wireless Commun, vol. 4, no. 5, pp. 2349–2360, Sept. 2005. 

[5] Y. Huang, C. Tan, and B. Rao, “Joint beamforming and power control in coordinated multicell: max-min duality, effective network and largesystem transition,” IEEE Trans. Wireless Commun, vol. 12, no. 6, pp.2730–2742, Jun. 2013. 

[6]   M. C. Gursoy, “On the capacity and energy efficiency of training-base transmissions over fading channels,” IEEE Trans. Inf. Theory, vol.55,no. 10, pp. 4543–4567, Oct. 2009. 

[7] D. W. K. Ng, E. S. Lo, and R. Schober,“Energy-   Efficient Resource Allocation in OFDMA Systems With Large Numbers of Base Station Antennas,” IEEE Trans Wireless Commun,vol.11, no.9, pp.3292– 3304,Sep.2012 .     

[8] S. He, Y. Huang, S. Jin, and L. Yang, “Coordinated beamforming for energy efficient transmission in multicell multiuser systems,” IEEE Trans.Commun, vol. 61, no. 12, pp. 4961–4971, Dec. 2013.
 
[9]   J. Joung, C. K. Ho, and S. Sun, “Power amplifier switching (PAS) forenergy efficient systems,” IEEE Wireless Commun. Lett., vol. 2, no. 1,pp. 14–17, Feb. 2013.

[10]   D. Liu et al., “User association in 5G networks: A survey  and an outlook,” IEEE Commun. Surveys ,  vol. 18,  no.2, pp. 1018–1044, 2nd Quart., 2016.

[11]  Dukka Venkataramana, Chiranjeevulu Bagathi, ” Energy Efficient Multiple Access Scheme for Multi-User System with Improved Gain ”,  International Journal of Computer Engineering In Research Trends, Volume 2, Issue 11, November-2015, pp. 739-743

[1] N. Mondal, M. Bag, M. Mukherjee, S. Chatterjee, N. Pervin, G. C. Banerjee,” Characteristics and Nature of Routing Protocols Used in VANET: A Comprehensive Study. “International Journal of Computer Engineering in Research Trends., vol.2, no.5, pp.284-287, 2015.
[2] Ramesh S Gawali, Prof. Mrunali G. Vaidya,” Selection and Maintenance of Materialized Views using Genetic Algorithm. “International Journal of Computer Engineering in Research Trends., vol.3, no.12, pp. 629-631, 2016.
[3] M.SHIRISHA, M.RADHA,” AMES-Cloud: A Framework of AMOV & ESOL using Clouds. “International Journal of Computer Engineering in Research Trends., vol.2, no.5, pp. 305-309, 2015.
[4] Shital M Kuwarkar, Prof. U.A.Nul,” Energy Consumption on Smartphone Web Browsing in 3G Network. “International Journal of Computer Engineering in Research Trends., vol.4, no.7, pp. 290-295, 2017.
[5] Dr. Subhi R. M. Zeebaree, Karwan Jacksi,” Effects of Processes Forcing on CPU and Total Execution-Time Using Multiprocessor Shared Memory Systemd. “International Journal of Computer Engineering in Research Trends., vol.2, no.4, pp. 275-279, 2015.
[6] Mr .BETKAR AKSHAY SURESH, Mrs. N.SUJATHA,” PROGRESSIVE DUPLICATE DETECTION. “International Journal of Computer Engineering in Research Trends., vol.3, no.6, pp. 284-288, 2016.
[7] H. Mahmud, A. M. Amin, M. E. Ali, and T. Hashem, “Shared Execution of Path Queries on Road Networks,” Clinical Orthopaedics and Related Research, vol. abs/1210.6746, 2012.
[8] L. Zammit, M. Attard, and K. Scerri, “Bayesian Hierarchical Modelling of Traffic Flow - With Application to Malta’s Road Network,” in International IEEE Conference on Intelligent Transportation Systems, 2013, pp. 1376–1381.
[9] S. Jung and S. Pramanik, “An Efficient Path Computation Model for Hierarchically Structured Topographical Road Maps,” IEEE Transactions on Knowledge and Data Engineering, vol. 14, no. 5, pp. 1029–1046, 2002.
[10] E. W. Dijkstra, “A Note on Two Problems in Connexion with Graphs,” Numerische Mathematik, vol. 1, no. 1, pp. 269–271, 1959.
[11] U. Zwick, “Exact and approximate distances in graphs – a survey,” in Algorithms – ESA 2001, 2001, vol. 2161, pp. 33–48.
[12] A. V. Goldberg and C. Silverstein, “Implementations of Dijkstra’s  Algorithm Based on Multi-Level Buckets,” in Network Optimization,
 [13] P. Hart, N. Nilsson, and B. Raphael, “A Formal Basis for the Heuristic Determination of Minimum Cost Paths,” IEEE Transactions on Systems Science and Cybernetics, vol. 4, no. 2, pp. 100–107, 1967.
[14] A. V. Goldberg and C. Harrelson, “Computing the Shortest Path: A Search Meets Graph Theory,” in ACM Symposium on Discrete Algorithms, 2005.
[15] R. Gutman, “Reach-Based Routing: A New Approach to Shortest Path Algorithms Optimized for Road Networks,” in Workshop on Algorithm Engineering and Experiments, 2004.
[16] A. V. Goldberg, H. Kaplan, and R. F. Werneck, “Reach for A*: Efficient Point-to-Point Shortest Path Algorithms,” in Workshop on Algorithm Engineering and Experiments, 2006, pp. 129–143.
[17] S. Jung and S. Pramanik, “An Efficient Path Computation Model for Hierarchically Structured Topographical Road Maps,” IEEE Transactions on Knowledge and Data Engineering, vol. 14, no. 5, pp. 1029–1046, 2002.
[18] R. Goldman, N. Shivakumar, S. Venkatasubramanian, and H. Garcia-Molina, “Proximity Search in Databases,” in International Conference on Very Large Data Bases, 1998, pp. 26–37.
[19] N. Jing, Y.-W. Huang, and E. A. Rundensteiner, “Hierarchical Optimization of Optimal Path Finding for Transportation Applications,” in ACM Conference on Information and Knowledge Management, 1996.
[20] N. Jing, Y. wu Huang, and E. A. Rundensteiner, “Hierarchical Encoded Path Views for Path Query Processing: An Optimal Model and its Performance Evaluation,” IEEE Transactions on Knowledge and Data Engineering, vol. 10, pp. 409–432, 1998.
[21] U. Demiryurek, F. Banaei-Kashani, C. Shahabi, and A. Ranganathan, “Online Computation of Fastest Path in Time-Dependent Spatial Networks,” in International Conference on Advances in Spatial and Temporal Databases, 2011.
[22] H. Gonzalez, J. Han, X. Li, M. Myslinski, and J. P. Sondag, “Adaptive Fastest Path Computation on a Road Network: a Traffic Mining Approach,” in International Conference on Very Large Data Bases, 2007.
[23] J. R. Thomsen, M. L. Yiu, and C. S. Jensen, “Effective caching of shortest paths for location-based services,” in ACM International Conference on Management of Data, 2012. 

1)	O. Bayrak, C. Temizyurek, M. Barut, O. Turkyilmaz and G. Gur, "A Novel Mobile Positioning Algorithm Based on Environment Estimation," 2007 4th Workshop on Positioning, Navigation, and Communication, Hannover, 2007, pp. 211-215.
2)	P. Erickson et al., "Designing public safety mobile applications for disconnected, interrupted, and low bandwidth communication environments," 2013 IEEE International Conference on Technologies for Homeland Security (HST), Waltham, MA, 2013, pp. 790-796.
3)	A. Muyanja, P. I. Musasizi, C. Nassimbwa, S. S. Tickodri-Togboa, E. K. Kayihura and A. Ngabirano, "Requirements engineering for the Uganda police force crime records management system," 2013 21st IEEE International Requirements Engineering Conference (RE), Rio de Janeiro, 2013, pp. 30-307.
4)	M. S. A. Azmil, N. Ya'acob, K. N. Tahar and S. S. Sarnin, "Wireless fire detection monitoring system for fire and rescue application," 2015 IEEE 11th International Colloquium on Signal Processing & Its Applications (CSPA), Kuala Lumpur, 2015, pp. 84-89.
5)	R. Sowah, K. O. Ampadu, A. Ofoli, K. Koumadi, G. A. Mills and J. Nortey, "Design and implementation of a fire detection and control system for automobiles using fuzzy logic," 2016 IEEE Industry Applications Society Annual Meeting, Portland, OR, USA, 2016, pp. 1-8.
6)	Y. Okumura, E. Ohmori, T. Kawano, and K. Fukuda, 'Field strength and its variability in VHF und UHF land-mobile radio service,' Rev. Electr. Commun. Lab., vol. 16, no. 9, pp. 825, Sept. /Oct. 1968.
7)	A. Medeisis and A. Kajackas, "On the use of the universal Okumura-Hata propagation prediction model in rural areas," VTC2000-Spring. 2000 IEEE 51st Vehicular Technology Conference Proceedings (Cat. No.00CH37026), Tokyo, 2000, pp. 1815-1818 vol.3.
8)	F. V. Diggelen, C. Abraham, "Indoor GPS Technology", CTIA Wireless-Agenda, Dallas, 2001, pp.1-10.
9)	R. A. Malaney, "NETp1-06: A Secure and Energy Efficient Scheme for Wireless VoIP Emergency Service," IEEE Globecom 2006, San Francisco, CA, 2006, pp. 1-6.
10)	H. Kimm and S. Y. Shin, "Efficient use of java MIDP record management system in wireless devices," IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication, 2005., Princeton, NJ, 2005, pp. 113-116. 
11)	Y. H. Ho and S. Abdullah, "Reduced global positioning system (GPS) positioning error by mitigating ionospheric scintillation," 2014 IEEE Symposium on Wireless Technology and Applications (ISWTA), Kota Kinabalu, 2014, pp. 110-115.
12)	Shahil TP, Sharon Tom, Deepak Joseph, Jobin Francis, "Low Cost Multipurpose Camera.” International Journal of Computer Engineering in Research Trends. Vol. 2, Issue 12, December 2015, pp 1170-1172 ISSN (Online): 2349-7084.

[1]	 Z. W. Geem, “Novel derivative of harmony search algorithm for discrete design variables,” Appl. Math. Computat., vol. 199, no. 1, pp. 223–230, May 2008.
[2]	S. Ghosh and K. S. Sherpa, “An efficient method for load-flow solution of radial distribution networks,” World Academy of Science, Engineering and Technology International Journal of Electrical and Computer Engineering Vol:2, No:9, 2008 
[3]	R. Srinivasa Rao, K. Ravindra, K. Satish, and S. V. L. Narasimham “Power loss minimization in distribution system using network reconfiguration in the presence of distributed generation,” IEEE Trans. on power systems, vol. 28, no. 1, Feb 2013.
[4]	M. E. Baran and F. Wu, "Network reconfiguration in the distribution system for loss reduction and load balancing," IEEE Trans. Power Del., vol. 4, no. 2, pp. 1401–1407, Apr. 1989. 
[5]	J. S. Savier and D. Das, “Impact of network reconfiguration on loss allocation of radial distribution systems,” IEEE Trans. Power Del., vol. 2, no. 4, pp. 2473–2480, Oct. 2007. 
[6]	S. Kalambe and G. Agnihotri, “Loss minimization techniques used in distribution network: bibliographical survey,” Renewable and Sustainable Energy Reviews, vol. 29, pp. 184 – 200, Jan.2014. 
[7]	T. T. Nguyen and A. V. Truong, “Distribution network reconfiguration for power loss minimization and voltage profile improvement using cuckoo search algorithm,” International Journal of Electrical Power & Energy Systems, vol. 68, pp. 233 – 242, June 2015.
[8]	R. Rajaram, K. S. Kumar, and N. Rajasekar, “Power system reconfiguration in a radial distribution network for reducing losses and to improve voltage profile using modified plant growth simulation algorithm with distributed generation (dg),” Energy Reports, vol. 1, pp. 116 – 122,Nov. 2015.
[9]	D. Q. Hung and N. Mithulananthan, “Multiple distributed generator placement in primary distribution networks for loss reduction,” Industrial Electronics, IEEE Transactions on, vol. 60, no. 4, pp. 1700–1708, Apr. 2013.
[10]	A. M. Imran and M. Kowsalya, “Optimal size and siting of multiple distributed generators in distribution system using bacterial foraging optimization,” Swarm and Evolutionary Computation, vol. 15, pp. 58 – 65, Apr. 2014.

[1] Fuel Management System,Areeg Abubakr Ibrahim Ahmed, Siddig Ali Elamin Mohammed, Mohamed Almudather Mahmoud Hassan Satte,2017 IEEE
[2] IOT BASED FUEL MONITORING FOR FUTURE VEHICLES, Prof.J.N.Nandimath,Varsha Alekar, Sayali Joshi, Sonal Bhite, Pradnya Chaudhari, Feb2017, IRJET
[3] DIGITAL FUEL INDICATOR Rishabh Neogi, Graphic Era Hill University, Dehradun, India, 2016, IJAME.
[4] www.howstu works.com
[5] http://www.speedyjim.net
[6]http://www.wisegeek.com/what-is-a-fuel gauge.htm
[7]http://www.en.wikipedia.org/wiki/PIC-microcontroller
[8] T.Lakshman,A.Naga Lavanya,” Pure and Impurity Water Monitoring In All Accepts.“International Journal of Computer Engineering in Research Trends., vol.2, no.12, pp. 880-884, 2015. 
[9] Albarbar, A., Fengshou Gu, and A. D. Ball. "Diesel engine fuelinjection monitoring using acoustic measurements and independent component analysis." Measurement 43.10 (2010): 1376-1386.
[10] Kum, Dongsuk, Huei Peng, and Norman K Bucknor. "Optimal energy and catalyst temperature management of plug-in hybrid electric vehicles for minimum fuel consumption and tail-pipe emissions." IEEE Transactions on Control Systems Technology 21.1
[11] Tie, Siang Fui, and Chee Wei Tan. "A review of energy sources and energy management system in electric vehicles." Renewable and Sustainable Energy Reviews 20 (2013): 82-102.
[12] Basu, Debraj, et al. "Wireless sensor network based smart home: Sensor selection, deployment and monitoring." Sensors Applications Symposium (SAS), 2013 IEEE. IEEE, 2013.48 (SAS), 2013 sIEEE. IEEE, 2013.

1)	Y.  Li,  Y.  Zhang,  and  R.  Yuan,  “Measurement  and Analysis of a Large Scale Commercial Mobile Internet TV System,” in ACM IMC, pp. 209–224, 2011.

2)	Y. Fu, R. Hu, G. Tian, and Z. Wang, “TCP-Friendly Rate Control for Streaming Service Over 3G network,” in WiCOM, 2006.

3)	M. Wien, R. Cazoulat, A. Graffunder, A. Hutter, and P. Amon, “Real-Time System for Adaptive Video Streaming Based on SVC,” in IEEE Transactions on Circuits and Systems for Video Technology, vol. 17, no. 9, pp. 1227–1237, Sep. 2007.

4)	D. Niu, H. Xu, B. Li, and S. Zhao, “Quality-Assured Cloud Bandwidth Auto-Scaling for Video-on-Demand Applications,” in IEEE INFOCOM, 2012.

5)	S. Chetan, G. Kumar, K. Dinesh, K. Mathew, and M. A. Abhimanyu,  “Cloud  Computing  for  Mobile  World,” Tech. Rep., 2010.

6)	Q.   Zhang,   L.   Cheng,   and   R.   Boutaba,   “Cloud Computing: State-of-the-art and Research Challenges,” in Journal of Internet Services and Applications, vol. 1, no. 1, pp. 7–18, Apr. 2010.

7)	Y.  Li,  Y.  Zhang,  and  R.  Yuan,  “Measurement  and Analysis of a Large Scale Commercial Mobile Internet TV    System,” in ACM IMC, pp. 209–224, 2011.

8)	P. McDonagh, C. Vallati, A. Pande, and P. Mohapatra, “Quality-Oriented Scalable Video Delivery Using H. 264 SVC on An LTE Network,” in WPMC, 2011.

9)	Kamarthi Rekha, R. Vara Prasad and Dr.S.Prem Kumar,” User Adaptive Mobile Video Streaming and Resourceful Video Sharing in Cloud. “International Journal of Computer Engineering in Research Trends., vol.1, no.1, pp. 1-7, 2014. 

10)	Gattu Uma Maheswari, E Ramya,” A Structure of Adaptive Mobile Video Streaming and Methodical Social Video Sharing In the Cloud. “International Journal of Computer Engineering in Research Trends., vol.2, no.12, pp. 837-841, 2015. 

11)	M.SHIRISHA, M.RADHA,” AMES-Cloud: A Framework of AMOV & ESOV using Clouds. “International Journal of Computer Engineering in Research Trends., vol.2, no.5, pp. 305-309, 2015. 

[1] L. M. Vaquero, L. Rodero-Merino, J. Caceres and M. Lindner, "A break in the clouds: towards a cloud definition," ACM SIGCOMM Computer Communication Review, vol. 39, no. 1, (2008), pp. 50-55.
[2] S. Ullah and Z. Xuefeng, "Cloud Computing Research Challenges," In Proceedings of 5th IEEE International Conference on Biomedical Engineering and Informatics, (2012), pp. 1397-1401.
[3] S. Yu, C. Wang, K. Ren and W. Lou, "Achieving secure, scalable, and fine-grained data access control in cloud computing," In INFOCOM, 2010 Proceedings IEEE, IEEE, (2010), pp. 1-9.
[4] L. Yousef, M. Butrico and D. Da Silva, "Toward a Unified Ontology of Cloud Computing," Grid Computing Environments Workshop, GCE '08, (2008), pp. 1-10.  
[5] Z. Shen and Q. Tong, "The Security of Cloud Computing System enabled by Trusted Computing Technology," In Proceedings of 2nd International Conference on Signal Processing Systems, (2010), pp. 11- 15.
[6] R. L. Grossman, "The Case for Cloud Computing," IT Professional, vol. 11, no. 2, (2009), pp. 23-27.
[7] S. Ullah, Z. Xuefeng and Z. Feng, "TCloud: Challenges and Best Practices for Cloud Computing," International Journal of Engineering Research and Technology, vol. 1, no. 9, (2012), pp. 01-05.
[8] S. Subashini and V. Kavitha, "A survey on security issues in service delivery models of cloud computing", Journal of Network and Computer Applications, vol. 34, no. 1, (2011), pp. 1-11. 
[9] Di Vimercati, S. De Capitani, S. Foresti, S. Jajodia, S. Paraboschi and P. Samarati, "A data outsourcing architecture combining cryptography and access control", In Proceedings of the 2007 ACM workshop on Computer security architecture, ACM, (2007), pp. 63-69. 
[10]W. Wang, L. Zhiwei, R. Owens and B. Bhargava, "Secure and efficient access to outsourced data", In Proceedings of the 2009 ACM workshop on Cloud computing security, ACM, (2009), pp. 55-66. 
[11] S. Kamara and K. Lauter, "Cryptographic cloud storage", Financial Cryptography and Data Security, (2010), pp. 136-149. 
[12]J. Dai and Q. Zhou, "A PKI-based mechanism for secure and efficient access to outsourced data", In Networking and Digital Society (ICNDS), 2010 2nd International Conference on, vol. 1, (2010), pp. 640- 643, IEEE. 
[13]G. Zhao, X. Hu, Y. Li and L. Du, "Implementation and testing of an identity-based authentication system", In Computing, Communication, Control, and Management, 2009, CCCM 2009, ISECS International Colloquium on, vol. 4, IEEE, (2009), pp. 424-427. 
[14]E. -J. Yoon and K. -Y. Yoo, "Robust id-based remote mutual authentication with key agreement scheme for mobile devices on ecc", InComputational Science and Engineering, 2009, CSE'09, International Conference on, vol. 2, IEEE, (2009), pp. 633-640. 
[15]J. Wiebelitz, S. Piger, C. Kunz and C. Grimm, "Transparent identity-based firewall transition for eScience", In E-Science Workshops, 2009 5th IEEE International Conference on, IEEE, (2009), pp. 3-10. 
[16]D. Zissis and D. Lekkas, "Addressing cloud computing security issues", Future Generation Computer Systems, vol. 28, no. 3, (2012), pp. 583-592. 
[17]L. Rodero-Merino, L. M. Vaquero, E. Caron, A. Muresan and F. Desprez, "Building safe PaaS clouds: A survey on security in multitenant software platforms", Computers & Security, (2011). 
[18]H. Li, Y. Dai, L. Tian and H. Yang, "Identity-based authentication for cloud computing", Cloud Computing, (2009), pp. 157-166. 
[19]G. Miklau and D. Suciu, "Controlling access to published data using cryptography", In Proceedings of the 29th international conference on Very large data bases, vol. 29, VLDB Endowment, (2003), pp. 898-909.
[20]D. Naor, A. Shenhav and A. Wool, "Toward securing untrusted storage without public-key operations", In Proceedings of the 2005 ACM workshop on Storage security and survivability, ACM, (2005), pp. 51-56. 
[21]E. -J. Goh, H. Shacham, N. Modadugu and D. Boneh, "SiRiUS: Securing remote untrusted storage", NDSS, (2003). 
[22]H. Ahn, H. Chang, C. Jang and E. Choi, "User Authentication Platform using Provisioning in Cloud Computing Environment", Advanced Communication and Networking, (2011), pp. 132-138. 
[23]G. Ateniese, K. Fu, M. Green and S. Hohenberger, "Improved proxy re-encryption schemes with applications to secure distributed storage", NDSS, (2005). 
[24]R. Blom, "An optimal class of symmetric key generation systems", In Advances in Cryptology, Springer Berlin/Heidelberg, (1985), pp. 335-338.
[25] FARZANA, A.HARSHAVARDHAN,”Integrity Auditing for Outsourced Dynamic Cloud Data with Group User Revocation. “International Journal of Computer Engineering in Research Trends., vol.2, no.11, pp. 877-881, 2015. 
[26] N. Meghasree,U.Veeresh and Dr.S.Prem Kumar,”Multi Cloud Architecture to Provide Data Privacy and Integrity. “International Journal of Computer Engineering in Research Trends., vol.2, no.9, pp. 558-564, 2015. 
[27]A.Shekinah prema sunaina,”Decentralized Fine-grained Access Control scheme for Secure Cloud Storage data. “International Journal of Computer Engineering in Research Trends., vol.2, no.7, pp. 421-424, 2015. 
[28]P.Rizwanakhatoon and Dr.C.MohammedGulzar,”SecCloudPro:A Novel Secure Cloud Storage System for Auditing and Deduplication. ”International Journal of Computer Engineering in Research Trends., vol.3, no.5, pp. 210-215, 2016. 
[29]B.SameenaBegum,.RaghaVardhini,”Augmented Privacy-Preserving Authentication Protocol by Trusted Third Party in Cloud. “International Journal of Computer Engineering in Research Trends., vol.2, no.5, pp. 378-382, 2015.

[1] M. Armbrust, A. Fox, R. Griffith, A.D. Joseph, R.H. Katz, A.Konwinski, G. Lee, D.A. Patterson, A. Rabkin, I. Stoica, and M.Zaharia, “A View of Cloud Computing,” Comm. ACM, vol. 53,no. 4, pp. 50-58, Apr. 2010.
[2] S. Kamara and K. Lauter, “Cryptographic Cloud Storage,” Proc.Int’l Conf. Financial Cryptography and Data Security (FC), pp. 136-149, Jan. 2010. 
[3] S. Yu, C. Wang, K. Ren, and W. Lou, Achieving Secure, Scalable, and Fine-Grained Data Access Control in Cloud Computing,”Proc. IEEE INFOCOM, pp. 534- 542, 2010. 
[4] M. Kallahalla, E. Riedel, R. Swaminathan, Q. Wang, and K. Fu,“Plutus: Scalable Secure File Sharing on Untrusted Storage,” Proc. USENIX Conf. File and Storage Technologies, pp. 29-42, 2003. 
[5] E. Goh, H. Shacham, N. Modadugu, and D. Boneh, “Sirius: Securing Remote Untrusted Storage,” Proc. Network and Distributed Systems Security Symp. (NDSS), pp. 131-145, 2003. 

[6] G. Ateniese, K. Fu, M. Green, and S. Hohenberger, “Improved Proxy Re-Encryption Schemes with Applications to Secure Distributed Storage,” Proc. Network and Distributed Systems Security Symp. (NDSS), pp. 29-43, 2005. 
[7] R. Lu, X. Lin, X. Liang, and X. Shen, “Secure Provenance: The Essential of Bread and Butter of Data Forensics in Cloud Computing,” Proc. ACM Symp. Information, Computer, and Comm. Security, pp. 282- 292, 2010.
[8] B. Waters, “Ciphertext-Policy Attribute-Based Encryption: An Expressive, Efficient, and Provably Secure Realization,” Proc. Int’l Conf. Practice and Theory in Public Key Cryptography Conf. Public Key Cryptography, http://eprint.iacr.org/2008/290.pdf, 2008. 
[9] V. Goyal, O. Pandey, A. Sahai, and B. Waters, “Attribute-Based Encryption for Fine-Grained Access Control of Encrypted Data,” Proc. ACM Conf. Computer and Comm. Security (CCS),pp. 89-98, 2006. 
[10] D. Naor, M. Naor, and J.B. Lotspiech, “Revocation and Tracing Schemes for Stateless Receivers,” Proc. Ann. Int’l Cryptology Conf.Advances in Cryptology (CRYPTO), pp. 41-62, 2001. 
[11] D. Boneh and M. Franklin, “Identity-Based Encryption from the Weil Pairing,” Proc. Int’l Cryptology Conf. Advances in Cryptology (CRYPTO), pp. 213-229, 2001. 
[12] D. Boneh, X. Boyen, and H. Shacham, “Short Group Signature,” Proc. Int’l Cryptology Conf. Advances in Cryptology (CRYPTO), pp. 41-55, 2004. 
[13] D. Boneh, X. Boyen, and E. Goh, “Hierarchical Identity Based Encryption with Constant Size Ciphertext,” Proc. Ann. Int’l Conf.Theory and Applications of Cryptographic Techniques (EUROCRYPT), pp. 440-456, 2005. 

[14] C. Delerablee, P. Paillier, and D. Pointcheval, “Fully Collusion Secure Dynamic Broadcast Encryption with Constant-Size Ciphertexts or Decryption Keys,” Proc. First Int’l Conf. Pairing-Based Cryptography, pp. 39-59, 2007. 

[15] D. Chaum and E. van Heyst, “Group Signatures,” Proc. Int’l Conf.Theory and Applications of cryptographic Techniques (EUROCRYPT), pp. 257-265, 1991. 

[16] A. Fiat and M. Naor, “Broadcast Encryption,” Proc. Int’l Cryptology Conf. Advances in Cryptology (CRYPTO), pp. 480-491, 1993. 

[17] B. Wang, B. Li, and H. Li, “Knox: Privacy Preserving Auditing for Shared Data with Large Groups in the Cloud,” Proc. 10th Int’l Conf. Applied Cryptography and Network Security, pp. 507-525, 2012. 
[18] FARZANA, A.HARSHAVARDHAN,”Integrity Auditing for Outsourced Dynamic Cloud Data with Group User Revocation. “International Journal of Computer Engineering in Research Trends., vol.2, no.11, pp. 877-881, 2015. 
[19] N. Meghasree,U.Veeresh and Dr.S.Prem Kumar,”Multi Cloud Architecture to Provide Data Privacy and Integrity. “International Journal of Computer Engineering in Research Trends., vol.2, no.9, pp. 558-564, 2015. 
[20]A.Shekinah prema sunaina,”Decentralized Fine-grained Access Control scheme for Secure Cloud Storage data. “International Journal of Computer Engineering in Research Trends., vol.2, no.7, pp. 421-424, 2015. 
[21]P.Rizwanakhatoon and Dr.C.MohammedGulzar,”SecCloudPro:A Novel Secure Cloud Storage System for Auditing and Deduplication. ”International Journal of Computer Engineering in Research Trends., vol.3, no.5, pp. 210-215, 2016. 
[22]B.SameenaBegum,.RaghaVardhini,”Augmented Privacy-Preserving Authentication Protocol by Trusted Third Party in Cloud. “International Journal of Computer Engineering in Research Trends., vol.2, no.5, pp. 378-382, 2015.

[1] R. Chen, Y. Mu, G. Yang, F. Guo, and X. Wang, “A new general framework for secure public key encryption with keyword search,” in Proc. 20th Australasian Conf. Inf. Secure. Privacy (ACISP), 2015, pp. 59–76.
[2] P. Xu, H. Jin, Q. Wu, and W. Wang, “Public-key encryption with a fuzzy keyword search: A provably secure scheme under keyword guessing attack,” IEEE Trans. Comput., vol. 62, no. 11, pp. 2266–2277, Nov. 2013.
[3] D. Khader, “Public key encryption with keyword search based on K-resilient IBE,” in Proc. Int. Conf. Comput. Sci. Appl. (ICCSA), 2006, pp. 298–308.
[4] R. Curtmola, J. Garay, S. Kamara, and R. Ostrovsky, “Searchable symmetric encryption: Improved definitions and efficient constructions,” in Proc. 13th ACM Conf. Comput. Commun.Secur. (CCS), 2006, pp. 79–88.\
[5] M. Abdalla et al., “Searchable encryption revisited: Consistency properties, relation to anonymous IBE, and extensions,” in Proc. 25th Annu. Int. Conf. CRYPTO, 2005, pp. 205–222.
[6] B. R. Waters, D. Balfanz, G. Durfee, and D. K. Smetters, “Building an encrypted and searchable audit log,” in Proc. NDSS, 2004, pp. 1–11.
[7] D. Boneh, G. Di Crescenzo, R. Ostrovsky, and G. Persiano, “Public key encryption with keyword search,” in Proc. Int. Conf. EUROCRYPT, 2004, pp. 506–522.
[8] R. Agrawal, J. Kiernan, R. Srikant, and Y. Xu, “Order preserving encryption for numeric data,” in Proc. ACM SIGMOD Int. Conf. Manage. Data, 2004, pp. 563–574.
[9] R. Gennaro and Y. Lindell, “A framework for password-based authenticated key exchange,” in Proc. Int. Conf. EUROCRYPT, 2003, pp. 524–543.
[10] D. X. Song, D. Wagner, and A. Perrig, “Practical techniques for searches on encrypted data,” in Proc. IEEE Symp. Secure. Privacy, May 2000, pp. 44–55.
[11] A.Raghavendra Praveen Kumar, K.Tarakesh, and U.Veeresh ,” A Secure and Dynamic Multi Keyword Ranked Search Scheme over encrypted.” International Journal of Computer Engineering in Research Trends., vol.2, no.12, pp. 1137-1141, 2015.
[12] Mr. Rahul Hon, and Mrs. N.Sujatha,” A Novel Framework to Measure the Degree of Difficulty on Keyword Query Routing.” International Journal of Computer Engineering in Research Trends., vol.3, no.6, pp. 314-320, 2016.
[13] Kallem Rajender Reddy, and Y.Sunitha,” A Novel Framework to Measure the Degree of Difficulty on Keyword Query Routing.” International Journal of Computer Engineering in Research Trends., vol.2, no.9, pp. 640-645, 2015.
[14] Vadla Jhansi Rani, and K.Samson Paul,” Secure Multi Keyword Dynamic Search Scheme Supporting Dynamic Update..” International Journal of Computer Engineering in Research Trends., vol.4, no.8, pp. 356-360, 2017.
[15] Mr. M. Veerabrahma Chary and Mrs.N.Sujatha,” A Novel Additive Multi-Keyword Search for Multiple Data Owners in Cloud Computing.” International Journal of Computer Engineering in Research Trends., vol.3, no.6, pp. 308-313, 2016.
[16] Mr. M. VEERABRAHMA CHARY, Mrs.N.SUJATHA,” A Novel Additive Multi-Keyword Search for Multiple Data Owners in Cloud Computing .” International Journal of Computer Engineering In Research Trends., vol.3, no.6, pp. 308-313, 2016.
[17] G.Lucy, D.Jaya Narayana Reddy, R.Sandeep Kumar,” Enabling Fine-grained Multi-keyword Search Supporting Classified Sub-dictionaries over Encrypted Cloud Data.” International Journal of Computer Engineering In Research Trends., vol.2, no.12, pp. 919-923, 2015.
[18] G.Dileep Kumar, A.Sreenivasa Rao,” Privacy-Preserving Public Auditing using TPA for Secure Searchable Cloud Storage data.” International Journal of Computer Engineering In Research Trends., vol.2, no.11, pp. 767-770, 2015.

[1]Wikipedia,"Twitter, "
http://en.wikipedia.org/wiki/Twitter. 2014.
[2] Xinhuanet, "Sina Microblog Achieves over 500
MillionUsers,"
http://news.xinhuanet.com/tech/2012-
02/29/c_122769084.htm. 2014.
[3] J. Liu, F. Zhang, X. Song, Y.I. Song, C.Y. Lin, and
H.W. Hon, "What's in a name?: an unsupervised
approach to link users across communities," Proc. of
the 6th ACM international conference on Web search
and data mining(WDM’13), pp. 495-504, 2013.
[4] O. Goga, D. Perito, H. Lei, R. Teixeira, and R.
Sommer, "Large-scale Correlation of Accounts across
Social Networks," Tech- nical report, 2013.
[5] K. Cortis, S. Scerri, I. Rivera, and S. Handschuh,
"An ontology-based technique for online profile
resolution," Social Informatics, Berlin: Springer, pp.
284-298, 2013.
[6] F. Abel, E. Herder, G.J. Houben, N. Henze, and D.
Krause, "Cross-system user modeling and
personalization on the social web," User Modeling and
User-Adapted Interaction, vol. 23, pp. 169-209, 2013.
[7] N. Korula and S. Lattanzi, "An efficient
reconciliation algorithm for social networks," arXiv
preprint arXiv:1307.1690, 2013.
[8] P. Jain, P. Kumaraguru, and A. Joshi, "@ i seek 'fb.
me': identify- ing users across multiple online social
networks," Proc. of the 22nd International Conference
on World Wide Web Companion, pp. 1259-1268,
2013.
[9] X. Kong, J. Zhang, and P.S. Yu, "inferring anchor
links across multiple heterogeneous social networks,"
Proc. of the 22nd ACM International Conf. on
Information and Knowledge Management (CIKM’13),
pp. 179-188, 2013.
[10] O. Goga, H. Lei, S.H.K. Parthasarathi, G.
Friedland, R. Sommer, and R. Teixeira, "Exploiting
innocuous activity for correlating us- ers across sites,"
Proc. 22nd international conference on World Wide
Web (WWW’13),pp. 447-458, 2013.
[11] R. Zafarani and H. Liu, "Connecting users across
social media sites: a behavioral-modeling approach, "
Proc. of the 19th ACM SIGKDD International
Conference on Knowledge Discovery and Data Mining
(KDD’13), pp.41-49, 2013.
[12] S. Bartunov, A. Korshunov, S. Park, W. Ryu, and
H. Lee, "Joint link-attribute user identity resolution in
online social net- works," The 6th SNA-KDD
Workshop ’12, 2012.
[13] P. Jain and P. Kumaraguru, "Finding Nemo:
searching and re-solving identities of users acrossonline social networks," arXiv preprint
arXiv:1212.6147, 2012.
[14] M. Almishari and G. Tsudik, "Exploring
linkability of user re- views," Computer Security–
ESORICS 2012 (ESORICS’12), pp. 307- 324, 2012.
[15] D. Perito, C. Castelluccia, M.A. Kaafar, and P.
Manils, "How unique and traceable are usernames?,"
Privacy Enhancing Technol- ogies (PETS’11), pp. 1-
17, 2011.
[16] A. Acquisti, R. Gross and F. Stutzman, "Privacy
in the age of aug- mented reality," Proc. National
Academy of Sciences, 2011.
[17] T. Iofciu, P. Fankhauser, F. Abel, and K. Bischoff,
"Identifying users across social tagging systems,” Proc.
of the 5th International AAAI Conference on Weblogs
and Social Media, pp. 522-525, 2011.
[18] B. Zhou and J. Pei, "The k-anonymity and ldiversity
approaches for privacy preservation in social
networks against neighborhood attacks," Knowl. Inf.
Syst, vol. 28, no. 1,pp. 47-77, 2011.
[19] E. Raad, R. Chbeir, and A. Dipanda, "User profile
matching in social networks," Proc. Of the 13th
International Conference on Network-Based
Information Systems (NBiS’10), pp.297-304, 2010.
[20] P. Erd?s and A. Rényi, "On random graphs I,"
Publ. Math. De- brecen, vol. 6, pp. 290-297, 2010.
[21] R. Zafarani and H. Liu, "Connecting
corresponding identities across communities," Proc. of
the 3rd International ICWSM Con- ference, pp. 354-
357, 2009.
[22] M. Motoyama and G. Varghese, "I seek you:
searching and matching individuals in social
networks," Proc. of the 11th inter- national workshop
on Web Information and Data Management
(WIDM’09), pp. 67-75, 2009.
[23] J. Vosecky, D. Hong, and V.Y. Shen, "User
identification across multiple social networks," Proc.
Of the 1st International Confer- ence on Networked
Digital Technologies, pp.360-365, 2009.
[24] A. Narayanan and V. Shmatikov, "Deanonymizing
social net- works," Proc. Of the 30th
IEEE Symposium on Security and Privacy (SSP’09),
pp. 173-187, 2009.
[25] B. Zhou and J. Pei, "Preserving privacy in social
networks against neighborhood attacks," Proc. Of the
24th IEEE International Conference on Data
Engineering (ICDE’08), pp. 506–515, 2008.
[26] L. Backstrom, C. Dwork, and J. Kleinberg,
"Wherefore art thou r3579x?: anonymized social
networks, hidden patterns, and structural
steganography," Proc. of the 16th international conference
on World Wide Web(WWW’07), pp. 181-190,
2007.
[27] R. Zheng, J. Li, H. Chen, and Z. Huang, "A
framework for au- thorship identification of online
messages: writing? style fea? tures and classification
techniques," J. of the American Society for
Information Science and Technology, vol. 57, no. 3,
pp. 378-393, 2006.
[28] O. De Vel, A. Anderson, M. Corney, and G.
Mohay, "Mining e-mail content for author
identification forensics,” ACM Sigmod Record, vol.
30, no. 4, pp. 55-64, 2001.
[29] A. L. Barabasi and R. Albert, "Emergence of
scaling in random networks," Science, vol. 286, no.
5439, pp. 509-512, 1999.
[30] D.J. Watts, and S.H. Strogatz, "Collective
dynamics of ‘small-world’ networks," Nature, vol.393,
no.6684, pp. 440-442, 1998.
[31].K.Arun ,A.SrinageshandM.Ramesh,”Twitter
Sentiment Analysis on Demonetization tweets in India
Using R language.”International Journal of Computer
Engineering in Research Trends., vol.4, no.6, pp. 252-
258, 2017.
[32]TekurVijetha, M.SriLakshmi
andDr.S.PremKumar,”Survey on Collaborative
Filtering and content-Based
Recommending.”International Journal of Computer
Engineering in Research Trends., vol.2, no.9, pp. 594-
599, 2015.
[33]N.Satish Kumar, SujanBabuVadde,”Typicality
Based Content-BoostedCollaborative Filtering
RecommendationFramework.”International Journal of
Computer Engineering in Research Trends., vol.2,
no.11, pp. 809-813, 2015.
[34]D.Ramanjaneyulu,U.Usha Rani,”In Service-
Oriented MSN ProvidingTrustworthy Service
Evaluation.”International Journal of Computer
Engineering in Research Trends., vol.2, no.12, pp.
1192-1197, 2015.
[35]B.Kundan,N.Poorna Chandra Rao and
DrS.PremKumar,”Investigation on Privacy and Secure
content of location based Queries.”International
Journal of Computer Engineering in Research Trends.,
vol.2, no.9, pp. 543-546, 2015.

[1] Z. Zheng, A. Liu, L. X. Cai, Z. Chen, and X. Shen, “ERCD: An energy-efficient clone detection protocol in wasns,” in Proc. IEEE INFOCOM, Turin, IT, Apr. 14-19 2015, pp. 2436–2444. 
[2] R. Lu, X. Li, X. Liang, X. Shen, and X. Lin, “GRS: The green, reliability, and security of emerging machine to machine communications,” IEEE Communications Magazine, vol. 49, no. 4, pp. 28–35, Apr. 2013. 
[3] Christo Ananth, A.NasrinBanu, M.Manju, S.Nilofer, S.Mageshwari, A.PeratchiSelvi, “Efficient Energy Management Routing in WSN”, International Journal of Advanced Research in Management, Architecture, Technology and Engineering (IJARMATE), Volume 1, Issue 1, August 2012,pp:16-19 
[4] Liu, J. Ren, X. Li, Z. Chen, and X. Shen, “Design principles and improvement of cost function based energy aware routing algorithms for wireless sensor networks,” Computer Networks, vol. 56, no. 7, pp. 1951–1967, May. 2011. 
[5] T. Shu, M. Krunz, and S. Liu, “Secure data collection in wireless sen-sor networks using randomized dispersive routes,” IEEE Transactions on Mobile Computing, vol. 9, no. 7, pp. 941–954, Jul. 2010.
[6] Uma Vasala and Dr. G. R. Sakthidharan,” Effective Key Management In Dynamic Wireless Sensor Networks”..”International Journal of Computer Engineering in Research Trends., vol.4, no.7, pp. 308-312, 2017.
[7] K.MANIMALA and .RANJITH,” Mobile Transmission Using Rigorous Data for Wireless Sensor Networks”..”International Journal of Computer Engineering in Research Trends., vol.1, no.6, pp. 436-446, 2014.

[8] P. G. V. SURESH KUMAR1 , SEELAM SOWJANYA,” Developing An Enterprise Environment by Using Wireless Sensor Network System Architecture”..”International Journal of Computer Engineering in Research Trends., vol.2, no.10, pp. 902-908, 2015.

[9]  JALAGAM NAGAMANI, K.SUMALATHA,” EAACK: Secure IDS for Wireless Sensor Networks”..”International Journal of Computer Engineering in Research Trends., vol.1, no.6, pp. 461-469, 2014.

[10] G V N LAKSHMI PRIYANKA, TELUGU KAVITHA, B SWATHI and  P.SUMAN PRAKASH,” Significance of DSSD towards Cut Detection in Wireless Sensor Network”..”International Journal of Computer Engineering in Research Trends., vol.2, no.1, pp. 8-12, 2015.

[11] Kumara Swamy,E Ramya,” A Contemplate on Vampire Attacks in Wireless Ad-Hoc Sensor Networks”..”International Journal of Computer Engineering in Research Trends., vol.2, no.12, pp. 834-836, 2015.

[12] Shital Patil , Vishaka Patil , Rupali Warke , Priyanka Patil,” Prevention of Packet Hiding Methods In Selective Jamming Attack”..”International Journal of Computer Engineering in Research Trends., vol.3, no.4, pp. 194-196, 2016.

[1] Yang Yang, Maode Ma. “Conjunctive Keyword Search with Designated Tester” Journal of IEEE Transactions on Information Forensics and Security, Vol. 11, No. 4, April 2016
[2] J. Leventhal, J. Cummins, P. Schwartz, D. Martin, W. Tierney. “Designing a system for patients controlling providers’ access to their electronic health records: organizational and technical challenges,” Journal of General Internal Medicine, vol. 30, no. 1, pp. 17-24, 2015. 
[3] Google Inc. Google health vault. https://www.google.com/health. 
[4] P. Liu, J. Wang, H. Ma, H. Nie, “Efficient Verifiable Public Key Encryption with Keyword Search Based on KPABE,” In Proc. 2014 Ninth International Conference on Broadband and Wireless Computing, Communication, and Applications (BWCCA), IEEE, pp.584-589, 2014.
[5] L. Fang, W. Susilo, C. Ge, J. Wang, “Public key encryption with keyword search secure against keyword guessing attacks without random oracle,” Information Sciences, vol. 238, pp. 221-241, 2013. 
[6] Q. Tang, “Public key encryption schemes supporting equality test with authorization of different granularity,” International Journal of Applied Cryptography, vol. 2, no. 4, pp. 304-321, 2012. 
[7]C. Hu, P. Liu, “An enhanced searchable public key encryption scheme with a designated tester and its extensions,” Journal of Computers, vol. 7, no. 3, pp. 716-723, 2012. 
[8] H. Rhee, J. Park, D. Lee, “Generic construction of designated tester public-key encryption with keyword search,” Information Sciences, vol. 205, pp. 93-109, 2012. 
[9] W. Yau, R. Phan, S. Heng, B. Goi, “Security models for delegated keyword searching within encrypted contents,” Journal of Internet Services and Applications, vol. 3, no. 2, pp. 233-241, 2012. 
[10] K. Emura, A. Miyaji, K. Omote, “A timed-release proxy re-encryption scheme,” IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences, vol. 94, no. 8, pp. 1682-1695, 2011.
[11] J. Shao, Z. Cao, X. Liang, H. Lin, “Proxy re-encryption with keyword search,” Information Sciences, vol. 180, no. 13, pp. 2576-2587, 2010. 
[12] W. Yau, R. Phan, S. Heng, B. Goi, “Proxy Re-encryption with Keyword Search: New Definitions and Algorithms,” in Proc. International Conferences on Security Technology, Disaster Recovery and Business Continuity, Jeju Island, Korea, Dec. 13-15, 2010, vol.122, pp. 149-160, Springer. 
[13] J. Byun, H. Rhee, H. Park, D. Lee, “Off-line key-word guessing attacks on recent keyword search schemes over encrypted data,” in Proc. Third VLDB Workshop on Secure Data Management (SDM), Seoul, Korea, September 10-11, 2006, vol. 4165, pp. 75-83, Springer. 
[14] D. Boneh, G. Di Crescenzo, R. Ostrovsky, G. Persiano, “Public key encryption with keyword search,” in Proc. EUROCRYPT, Interlaken, Switzerland, May 2-6, 2004, vol. 3027, pp. 506–522, Springer. 
[15]R. Canetti, O. Goldreich, S. Halevi, “The Random Oracle Methodology,” Journal of the ACM, vol. 51, pp. 557- 594, 2004. 
[16] Sree Sai Rajesh C  , Syed Mohammed Nadeem  , Vajjala Revanth Kumar  and R.Varaprasad,” Cloud Supported Personal Health Records with Security and Audit ability.”International Journal of Computer Engineering in Research Trends., vol.1, no.4, pp. 230-234, 2014. 
[17] G.Lucy, D.Jaya Narayana Reddy and R.Sandeep Kumar,” Enabling Fine-grained Multi-keyword Search Supporting Classified Sub-dictionaries over Encrypted Cloud Data.”International Journal of Computer Engineering in Research Trends., vol.2, no.12, pp. 919-923, 2015. 
[18] Meghana A , Gaddam Gowthami , Mahendrakar Kavitha Bai  and  M.Srilakshmi,” Securing Personal Health Records in Cloud Utilizing Multi Authority Attribute Based Encryption.”International Journal of Computer Engineering in Research Trends., vol.1, no.4, pp. 214-219, 2014.
[19] PRAVEEN KUMAR and S.NAGA LAKSHMI,” Efficient Data Access Control for Multi-Authority Cloud Storage using CP-ABE..”International Journal of Computer Engineering in Research Trends., vol.2, no.12, pp. 1182-1187, 2015.
[20] Moulika Devi Vankala and G.P.S Prasanthi,” Analog and Digital PLL with Single Ended Ring VCO for “Full Swing Symmetrical Even Phase Outputs”..”International Journal of Computer Engineering in Research Trends., vol.3, no.8, pp. 441-446, 2016.

[1] V. Saiharitha, S. J. Saritha, “A privacy and dynamic multi-keyword ranked search scheme over cloud data encrypted” ,” IEICE Trans. Commun.,  pp. 190–200, 2016. 
[2] Y. Ren, J. Shen, J. Wang, J. Han, and S. Lee, “Mutual verifiable provable data auditing in public cloud storage,” J. Internet Technol., vol. 16, no. 2, pp. 317–323, 2015. 
[3] M. Mambo, K. Usuda, and E. Okamoto, “Proxy signatures for delegating signing operation,” in Proc. CCS, 1996, pp. 48– 57.
[4] E.-J. Yoon, Y. Choi, and C. Kim, “New ID-based proxy signature scheme with message recovery,” in Grid and Pervasive Computing (Lecture Notes in Computer Science), vol. 7861. Berlin, Germany: SpringerVerlag, 2013, pp. 945– 951. 
[5] B.-C. Chen and H.-T.Yeh, “Secure proxy signature schemes from the weil pairing,” J. Supercomput., vol. 65, no. 2, pp. 496–506, 2013.
[6] X. Liu, J. Ma, J. Xiong, T. Zhang, and Q. Li, “Personal health records integrity verification using attribute based proxy signature in cloud computing,” in Internet and Distributed Computing Systems (Lecture Notes in Computer Science), vol. 8223. Berlin, Germany: SpringerVerlag, 2013, pp. 238– 251. 
[7] H. Guo, Z. Zhang, and J. Zhang, “Proxy re-encryption with unforgeable re-encryption keys,” in Cryptology and Network Security (Lecture Notes in Computer Science), vol. 8813. Berlin, Germany: Springer-Verlag, 2014, pp. 20–33. 
[8] E. Kirshanova, “Proxy re-encryption from lattices,” in Public-Key Cryptography (Lecture Notes in Computer Science), vol. 8383. Berlin, Germany: Springer-Verlag, 2014, pp. 77–94. 
[9] P. Xu, H. Chen, D. Zou, and H. Jin, “Fine-grained and heterogeneous proxy re-encryption for secure cloud storage,” Chin. Sci. Bull., vol. 59, no. 32, pp. 4201–4209, 2014.
[10] S. Ohata, Y. Kawai, T. Matsuda, G. Hanaoka, and K. Matsuura, “Re-encryption verifiability: How to detect malicious activities of a proxy in proxy re-encryption,” in Proc. CT-RSA Conf., vol. 9048. 2015, pp. 410–428. 
[11] G. Ateniese et al., “Provable data possession at untrusted stores,” in Proc. CCS, 2007, pp. 598–609. 
[12] G. Ateniese, R. Di Pietro, L. V. Mancini, and G. Tsudik, “Scalable and efficient provable data possession,” in Proc. SecureComm, 2008, Art. ID 9. 
[13] C. C. Erway, A. Küpçü, C. Papamanthou, and R. Tamassia, “Dynamic provable data possession,” in Proc. CCS, 2009, pp. 213–222. 
[14] E. Esiner, A. Küpçü, and Ö. Özkasap, “Analysis and optimization on FlexDPDP: A practical solution for dynamic provable data possession,” Intelligent Cloud Computing (Lecture Notes in Computer Science), vol. 8993. Berlin, Germany: Springer-Verlag, 2014, pp. 65–83. 
[15] E. Zhou and Z. Li, “An improved remote data possession checking protocol in cloud storage,” in Algorithms and Architectures for Parallel Processing (Lecture Notes in Computer Science), vol. 8631. Berlin, Germany: SpringerVerlag, 2014, pp. 611–617. 
[16] H. Wang, “Proxy provable data possession in public clouds,” IEEE Trans. Services Comput., vol. 6, no. 4, pp. 551– 559, Oct./Dec. 2013. 
[17] H. Wang, “Identity-based distributed provable data possession in multicloud storage,” IEEE Trans. Services Comput., vol. 8, no. 2, pp. 328–340, Mar./Apr. 2015. 
[18] H. Wang, Q. Wu, B. Qin, and J. Domingo-Ferrer, “FRR: Fair remote retrieval of outsourced private medical records in electronic health networks,” J. Biomed. Inform., vol. 50, pp. 226–233, Aug. 2014. 
[19] H. Wang, “Anonymous multi-receiver remote data retrieval for pay-TV in public clouds,” IET Inf. Secur., vol. 9, no. 2, pp. 108–118, Mar. 2015.
[20] H. Shacham and B. Waters, “Compact proofs of retrievability,” in Proc. ASIACRYPT, vol. 5350.2008, pp. 90– 107.
[21] Q. Zheng and S. Xu, “Fair and dynamic proofs of retrievability,” in Proc. CODASPY, 2011, pp. 237–248.
[22] D. Cash, A. Küpçü, and D. Wichs, “Dynamic proofs of retrievability via oblivious RAM,” in Proc. EUROCRYPT, vol. 7881. 2013, pp. 279–295. 
[23] J. Zhang, W. Tang, and J. Mao, “Efficient public verification proof of retrievability scheme in cloud,” Cluster Comput., vol. 17, no. 4, pp. 1401–1411, 2014.
[24] J. Shen, H. Tan, J. Wang, J. Wang, and S. Lee, “A novel routing protocol providing good transmission reliability in underwater sensor networks,” J. Internet Technol., vol. 16, no. 1, pp. 171–178, 2015. 
[25] T. Ma et al., “Social network and tag sources based augmenting collaborative recommender system,” IEICE Trans. Inf. Syst., vol. E98-D, no. 4, pp. 902–910, 2015. //crypto.stanford.edu/pbc/thesis.pdf
[26] P.FARZANA, A.HARSHAVARDHAN,”Integrity Auditing for Outsourced DynamicCloud Data with Group User Revocation.”International Journal of Computer Engineering in Research Trends., vol.2, no.11, pp. 877-881, 2015.
[27] N. Meghasree,U.Veeresh and Dr.S.Prem Kumar,”Multi Cloud Architecture to Provide DataPrivacy and Integrity.”International Journal of Computer Engineering in Research Trends., vol.2, no.9, pp. 558-564, 2015.
[28] A.Shekinahpremasunaina,”Decentralized Fine-grained Access Controlscheme for Secure Cloud Storage data.”International Journal of Computer Engineering in Research Trends., vol.2, no.7, pp. 421-424, 2015.
[29] P. Rizwanakhatoon andDr.C.MohammedGulzar ,”SecCloudPro:A Novel Secure CloudStorage System for Auditing andDeduplication.”International Journal of Computer Engineering in Research Trends., vol.3, no.5, pp. 210-215, 2016.
[30] B.Sameena Begum, P.RaghaVardhini,”Augmented Privacy-Preserving AuthenticationProtocol by Trusted Third Party in Cloud.”International Journal of Computer Engineering in Research Trends., vol.2, no.5, pp. 378-382, 2015.

[1].  Dynamic Multi-Keyword Ranked Searchable Security Algorithm Using CRSA and B-Tree Prasanna B T#1, C B Akki*2 #Department of ISE, EPCET Associate Professor, Bengaluru, INDIA-560049 *Department of ISE, SJBIT Professor, Bengaluru, INDIA-560060 
[2].  Reusability of Search Index over Encrypted Cloud Data on Dynamic update Kavitha R1, R J Poovaraghan2 Student, M.Tech, SRM University, Chennai, India1 Assistant Professor (OG), Department of Computer Science, SRM University, Chennai, India2.
[3]. Dynamic Multi-keyword Top-k Ranked Search over Encrypted Cloud Data Xingming Sun, Xinhui Wang, Zhihua Xia, Zhangjie Fu and Tao Li Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science & Technology, Nanjing, 210044.
[4]. R. Ostrovsky, D. Boneh, G. Di Crescenzo, and G. Persiano, “Public key encryption with keyword search,” in Advances in Cryptology-Eurocrypt 2004, 2004, pp. 506–522.
[5]. R. Curtmola, J. Garay, S. Kamara and R. Ostrovsky “Searchable symmetric encryption: Improved definitions and efficient construc-tions”Proc. 13th ACM Conf. Comput. Commun. Secur., pp. 79-88, 2006.
[6]. G. Craig “Fully homomorphic encryption using ideal lattices”Proc. 41st Annu. ACM Symp. Theory Comput., vol. 9, pp. 169-178, 2009.
[7]. H. Pang, J. Shen and R. Krishnan ‘Privacy-preserving similarity-based text retrieval’ , ACM Trans. Internet Technol., vol. 10, no. 1, p. 39, Feb., 2010. 
[8]. Q.Wang et al, K. Ren, C.Wang, “Security challenges for the public cloud,” IEEE Internet Computing, 2012, vol. 16, no. 1, pp. 69–73.
[9]. S. Kamara, C. Papamanthou and T. Roeder “Dynamic searchable symmetric encryption”Proc. Conf. Comput. Commun. Secur., pp. 965-976, 2012.
[10]. S. Jarecki, C. Jutla, H. Krawczyk, M. Rosu and M. Steiner “Outsourced symmetric private information retrieval”Proc. ACM SIGSAC Conf. Comput. Commun. Secur., pp. 875-888, Nov., 2013.
[11]. D. Cash, S. Jarecki, C. Jutla, H. Krawczyk, M. Rosu and M. Steiner “Highly-scalable searchable symmetric encryption with support for Boolean que-ries”Proc. Adv. Cryptol,., pp. 353-373, 2013.
[12].  K. Ren, C. Wang, N. Cao, and W. Lou, “Enabling secure and efficient ranked keyword search over outsourced cloud data,” Parallel and Distributed Systems, IEEE Transactions on, 2012, vol. 23, no. 8, pp. 1467–1479.
[13]. S. Jarecki, D. Cash, J.Jaeger, C. Jutla, M. C. Rosu, and M.  Steiner, “Dynamic searchable encryption in very large databases: Data structures and implementation”, vol. 14, 2014,
[14]. R. X. Li, Z. Y. Xu, W. S. Kang, K. C. Yow and C. Z. Xu “Efficient Multi-keyword ranked query over encrypted data in cloud computing”Futur. Gener. Comp. Syst., vol. 30, pp. 179-190, Jan., 2014.
[15]. Chi Chen, Xiaojie Zhu, Peisong Shen “An Efficient Privacy-Preserving Ranked Keyword Search Method”, IEEE Transactions on Parallel and Distributed Systems, Vol. 27, No. 4, April 2016.  
[16] A.Raghavendra Praveen Kumar, K.Tarakesh, and U.Veeresh  ,” A Secure and Dynamic Multi Keyword Ranked Search Scheme over encrypted.” International Journal of Computer Engineering in Research Trends., vol.2, no.12, pp. 1137-1141, 2015.
[17] Mr. Rahul Hon, and Mrs. N.Sujatha,” A Novel Framework to Measure the Degree of Difficulty on Keyword Query Routing.” International Journal of Computer Engineering in Research Trends., vol.3, no.6, pp. 314-320, 2016.
[18] Kallem Rajender Reddy, and Y.Sunitha,” A Novel Framework to Measure the Degree of Difficulty on Keyword Query Routing.” International Journal of Computer Engineering in Research Trends., vol.2, no.9, pp. 640-645, 2015.
[19] Vadla Jhansi Rani, and K.Samson Paul,” Secure Multi Keyword Dynamic Search Scheme Supporting Dynamic Update..” International Journal of Computer Engineering in Research Trends., vol.4, no.8, pp. 356-360, 2017.
[20] Mr. M. Veerabrahma Chary  and Mrs.N.Sujatha,” A Novel Additive Multi-Keyword Search for Multiple Data Owners in Cloud Computing.” International Journal of Computer Engineering in Research Trends., vol.3, no.6, pp. 308-313, 2016.

[1] C.-K. Chu, W.-T.Zhu, J. Han, J.-K. Liu, J. Xu, and J. Zhou, “Security concerns in popular cloud storage services,” IEEE Pervasive Comput., vol. 12, no. 4, pp. 50–57, Oct./Dec. 2013.
[2] T. Jiang, X. Chen, J. Li, D. S. Wong, J. Ma, and J. Liu, “TIMER: Secure and reliable cloud storage against data re-outsourcing,” in Proc. 10th Int. Conf. Inf. Secure. Pract.Exper., vol. 8434. May 2014, pp. 346–358.
[3] K. Liang, J. K. Liu, D. S. Wong, and W. Susilo, “An efficient cloud-based revocable identity-based proxy re-encryption scheme for public clouds data sharing,” in Proc. 19th Eur. Symp. Res. Comput. Secur., vol. 8712. Sep. 2014, pp. 257–272. 
[4] T. H. Yuen, Y. Zhang, S. M. Yiu, and J. K. Liu, “Identity-based encryption with post-challenge auxiliary inputs for secure cloud applications and sensor networks,” in Proc. 19th Eur. Symp. Res. Comput. Secur., vol. 8712. Sep. 2014, pp. 130–147.
[5] K. Liang et al., “A DFA-based functional proxy re-encryption scheme for secure public cloud data sharing,” IEEE Trans. Inf. Forensics Security, vol. 9, no. 10, pp. 1667–1680, Oct. 2014.
[6] T. H. Yuen, J. K. Liu, M. H. Au, X. Huang, W. Susilo, and J. Zhou, “k-times attribute-based anonymous access control for cloud computing,” IEEE Trans. Comput., vol. 64, no. 9, pp. 2595–2608, Sep. 2015.
[7] J. K. Liu, M. H. Au, X. Huang, R. Lu, and J. Li, “Fine-grained two factor access control for Web-based cloud computing services,” IEEE Trans. Inf. Forensics Security, vol. 11, no. 3, pp. 484–497, Mar. 2016.
[8] A. Sahai and B. Waters, “Fuzzy identity-based encryption,” in Advances in Cryptology. Berlin, Germany: Springer, May 2005, pp. 457–473. [9] V. Goyal, O. Pandey, A. Sahai, and B. Waters, “Attribute-based encryption for fine-grained access control of encrypted data,” in Proc. 13th ACM Conf. Comput. Commun.Secur., Oct. 2006, pp. 89–98.
[10] W. Zhu, J. Yu, T. Wang, P. Zhang, and W. Xie, “Efficient attribute-based encryption from R-LWE,” Chin. J. Electron., vol. 23, no. 4, pp. 778–782, Oct. 2014.
[11] J. Bethencourt, A. Sahai, and B. Waters, “Cipher text-policy attribute based encryption,” in Proc. IEEE Symp.Secur. Privacy, May 2007, pp. 321–334.
[12] L. Cheung and C. Newport, “Provably secure ciphertext policy ABE,” in Proc. 14th ACM Conf. Comput. Commun.Secur., Oct. 2007, pp. 456–465.
[13] L. Ibraimi, M. Petkovic, S. Nikova, P. Hartel, and W. Jonker, “Mediated ciphertext-policy attribute-based encryption and its application,” in Proc. 10th Int. Workshop Inf. Secur. Appl., Aug. 2009, pp. 309–323. 
[14] X. Xie, H. Ma, J. Li, and X. Chen, “An efficient ciphertext-policy attribute-based access control towards revocation in cloud computing,” J. Universal Comput. Sci., vol. 19, no. 16, pp. 2349–2367, Oct. 2013. 
[15] F. Guo, Y. Mu, W. Susilo, D. S. Wong, and V. Varadharajan, “CP-ABE with constant-size keys for lightweight devices,” IEEE Trans. Inf. Forensics Security, vol. 9, no. 5, pp. 763–771, May 2014.
[16] A. Balu and K. Kuppusamy, “An expressive and provably secure ciphertext-policy attribute-based encryption,” Inf. Sci., vol. 276, pp. 354–362, Aug. 2014.
[17] X. Liu, J. Ma, J. Xiong, and G. Liu, “Ciphertext-policy hierarchical attribute-based encryption for fine-grained access control of encryption data,” Int. J. Netw.Secur., vol. 16, no. 6, pp. 437–443, Nov. 2014.
[18] Y. Chen, Z. L. Jiang, S. M. Yiu, J. K. Liu, M. H. Au, and X. Wang, “Fully secure ciphertext-policy attribute based encryption with security mediator,” in Proc. 16th Int. Conf. Inf. Commun. Secur., vol. 8958. Dec. 2014, pp. 274–289.
[19] Y. Yang, J. K. Liu, K. Liang, K.-K. R. Choo, and J. Zhou, “Extended proxy-assisted approach: Achieving revocable fine-grained encryption of cloud data,” in Proc. 20th Eur. Symp. Res. Comput. Secur.(ESORICS), vol. 9327. Sep. 2015, pp. 146–166.
[20] J. Liu, X. Huang, and J. K. Liu, “Secure sharing of personal health records in cloud computing: Ciphertext-policy attribute-based signcryption,” Future Generat. Comput. Syst., vol. 52, pp. 67–76, Nov. 2015.
[21] K. Liang et al., “A secure and efficient ciphertext-policy attribute-based proxy re-encryption for cloud data sharing,” Future Generat. Comput. Syst., vol. 52, pp. 95–108, Nov. 2015.
[22] C.-I. Fan, V. S.-M.Huang, and H.-M. Ruan, “Arbitrary-state attributebased encryption with dynamic membership,” IEEE Trans. Comput., vol. 63, no. 8, pp. 1951–1961, Aug. 2014.
[23] H. Zheng, Q. Yuan, and J. Chen, “A framework for protecting personal information and privacy,” Secur.Commun.Netw., vol. 8, no. 16, pp. 2867–2874, Nov. 2015. 
[24] F. Xhafa, J. Wang, X. Chen, J. K. Liu, J. Li, and P. Krause, “An efficient PHR service system supporting fuzzy keyword search and fine-grained access control,” Soft Comput., vol. 18, no. 9, pp. 1795–1802, Sep. 2014.
[25] S. Wang, J. Yu, P. Zhang, and P. Wang, “A novel file hierarchy access control scheme using attribute-based encryption,” Appl. Mech. Mater., vols. 701–702, pp. 911–918, Jan. 2015.
[26] A.Shekinah Prema Sunaina,” Study on Competent and Revocable Data Access Control Scheme for Multi-Authority Cloud Storage Systems.” International Journal of Computer Engineering in Research Trends., vol.2, no.5, pp. 365-368, 2015.
[27] R.Srinivas and Ajay Kumar,” Attribute-Based Encryption for Reliable and Secure Sharing of PHR in Cloud Computing.” International Journal of Computer Engineering in Research Trends., vol.2, no.10, pp. 679-682, 2015.
[28] NUTAKKI PRASAD and K.KIRAN KUMAR,” A Dynamic Secure Multi Owner Data Sharing Scheme Over Cloud Computing.” International Journal of Computer Engineering in Research Trends., vol.2, no.10, pp. 889-895, 2015.
[29] S.L.SOWJANYA, D.RAVIKIRAN,” Secure Data Sharing for Dynamic Groups in the Public Cloud.” International Journal of Computer Engineering in Research Trends., vol.1, no.6, pp. 428-435, 2014.
[30] Allam Jyothi,G.Somasekhar and Dr S.Prem Kumar,” A Secure Multi-Owner Data Sharing Scheme for Dynamic Group in Public Cloud.” International Journal of Computer Engineering in Research Trends., vol.2, no.8, pp. 475-480, 2015.
 

1] F. Cheng, C. Liu, J. Jiang, W. Lu, W. Li, G. Liu, W. Zhou, J. Huang, and Y. Tang. Prediction of drug-target interactions and drug repositioning via network-based inference.PLoS Computational Biology, 8:e1002503, 2012. 
2] E. Constantinides. Influencing the online consumer’s behavior: the web experience.Internet research, 14:111–126, 2011.
3] J. L. Herlocker, J. A. Konstan, and J. Riedl.Explaining collaborative filtering recommendations. In Proceedings of the 2011 ACM conference on Computer supported cooperative work, pages 241–250. ACM,2011. 
4] C. Jayawardhena, L. T. Wright, and C. Dennis. Consumers online: intentions, orientations and segmentation. International Journal of Retail &Distribution Management, 35:515–526, 2011. 
5] A. Karatzoglou. Collaborative temporal order modeling. In Proceedings of the _fth ACM conferenceon Recommender systems, pages 313–316, 2009. 
6] I. Konstas, V. Stathopoulos, and J. Jose. On social networks and collaborative recommendation.InProceedings of the 32nd International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 195–202. ACM, 2007.
7] A. Liaw and M. Wiener.Classification and regression by randomforest.R news, 2:18–22, 2003. 
8] C.-H. Park and Y.-G. Kim. Identifying key factors affecting consumer purchase behavior in an online shopping context.International Journal of Retail & Distribution Management, 31:16–29, 2002.
9] P. Resnick, N. Iacovou, M. Suchak, P. Bergstrom, and J. Riedl. Grouplens: an open architecture for collaborative filtering of netnews. In Proceedings of the 1994 ACM Conference on Computer Supported Cooperative Work, pages 175–186. ACM, 2001.
10] B. Sarwar, G. Karypis, J. Konstan, and J. Reidl.Item-based collaborative filtering recommendation algorithms. In Proceedings of the 10th InternationalConference on World Wide Web, pages 285–295. ACM, 2001.
11] J. B. Schafer, J. A. Konstan, and J. Riedl.E-commerce recommendation applications. In Applications of Data Mining to Electronic Commerce, pages 115–153. Springer, 2001.
12] E. Shen, H. Lieberman, and F. Lam. What am I gonna wear?: scenario-oriented recommendation. In Proceedings of the 12th international conference on intelligent user interfaces, pages 365–368. ACM, 2000.
13] K. H. Tso-Sutter, L. B. Marinho, and L. Schmidt-Thieme.Tag-aware recommender systems by fusion of collaborative filtering algorithms. In Proceedings of the 2008 ACM symposium on Applied computing, pages 1995–1999. ACM, 2008.
14] R. Verheijden. Predicting purchasing behavior throughout the clickstream.Master’s thesis, Eindhoven University of Technology, May 1994.
15] F. Wu and B. A. Huberman.Novelty and collective attention.Proceedings of the National Academy of Sciences, USA, 104:17599–17601.
16].K.Arun ,A.SrinageshandM.Ramesh,”Twitter Sentiment Analysis on Demonetization tweets in India Using R language.”International Journal of Computer Engineering in Research Trends., vol.4, no.6, pp. 252-258, 2017.
17] TekurVijetha, M.SriLakshmi and Dr.S.PremKumar,” Survey on Collaborative Filtering and content-Based Recommending.” International Journal of Computer Engineering in Research Trends., vol.2, no.9, pp. 594-599, 2015.
18] N.Satish Kumar, SujanBabuVadde,” Typicality Based Content-BoostedCollaborative Filtering Recommendation Framework.” International Journal of Computer Engineering in Research Trends., vol.2, no.11, pp. 809-813, 2015.
19] D.Ramanjaneyulu, U.Usha Rani,” In Service-Oriented MSN ProvidingTrustworthy Service Evaluation.”International Journal of Computer Engineering in Research Trends., vol.2, no.12, pp. 1192-1197, 2015.
20]B.Kundan,N.Poorna Chandra Rao and DrS.PremKumar,” Investigation on Privacy and Secure content of location based Queries.” International Journal of Computer Engineering in Research Trends., vol.2, no.9, pp. 543-546, 2015.

[1] Article by BP Agarwal, in Journal of IRTDA, February.1983, Kolkata, India. 
[2] Course materials of IRTDA, Kolkatta, 1992.
[3] Dr.Porag Kalita,” Computer Application in Road Transport Industry in India: Study on Truck History Card..” International Journal of Computer Engineering in Research Trends., vol.2, no.9, pp. 600-608, 2015.
[4] Dr.Porag Kalita,”Experimental Study on Automobile Clutch Plate Juddering.” International Journal of Computer Engineering in Research Trends., vol.2, no.11, pp. 705-710, 2015.

1.	https://pypi.python.org/pypi/PyDictionary/1.3.4
2.	https://pythonhosted.org/goslate/
3.	http://pyttsx.readthedocs.io/en/latest/engine.html
4.	https://www.tutorialspoint.com/python/python_gui_programming.htm
5.	https://jkvsrg-english-to-multilingual dictionary.en.softonic.com/
6.	https://sourceforge.net/projects/jkvsrg-eng-multilingual-dict/
7.	https://www.altalang.com/beyond-words/2010/01/19/evaluating-machine-translationthe-present-and-future-of-multilingual-search/
8.	https://www.quora.com/Why-do-people-speak-different-languages-around-the-world-Why-dont-we-speak-the-same-language
9.	https://www.daytranslations.com/blog/2015/01/human-translation-important-5885
10.	https://www.cse.iitb.ac.in/~pb/papers/icon15-indowordnet-dictionary
11.	 Hutchins, W.J. 1995. Machine Translation: A Brief History. In Koerner, E.F.K.; Asher, R. E. (Eds.) A concise history of the language sciences: from the Sumerians to the cognitivists, Oxford: Pergamon Press, 431-445.

[1] A. Fu, S. Yu, Y. Zhang, H. Wang and C. Huang, "NPP: A New Privacy-Aware Public Auditing Scheme for Cloud Data Sharing with Group Users," in IEEE Transactions on Big Data, vol. PP, no. 99, pp. 1-1.
doi: 10.1109/TBDATA.2017.2701347
[1] D. Fernandes, L. Soares, J. Gomes, et al, “Security issues in cloud environments: a survey,” International Journal of Information Security, vol. 12, no. 2, pp. 113-170, 2014. 
[2] W. Hsien, C. Yang, and M. Hwang, “A survey of public auditing for secure data storage in cloud computing,” International Journal of Network Security, vol.18, no.1, pp. 133-142, 2016. 
[3] J. Yu, K. Ren, C. Wang, et al, “Enabling Cloud Storage Auditing with Key-Exposure Resistance,” IEEE Transactions on Information Forensics and Security, vol.10, no.6, pp. 1167-1179, 2015.
 [4] Q. Wang, C. Wang, K. Ren, et al, “Enabling public auditability and data dynamics for storage security in cloud computing,” IEEE Transactions on Parallel and Distributed Systems, vol. 22, no. 5, pp. 847-859, 2011.
 [5] S. Yu, “Big privacy: challenges and opportunities of privacy study in the age of big data,” IEEE Access, vol. 4, no. 6, pp. 2751-2763, 2016. 
[6] C. Wang, Q. Wang, K. Ren, et al, “Privacy-preserving public auditing for data storage security in cloud computing,” Proceedings of IEEE INFOCOM, pp. 1-9, 2010. 
[7] B. Wang, B. Li, and H. Li, “Oruta: privacy-preserving public auditing for shared data in the cloud,” IEEE Transactions on Cloud Computing, vol.2, no.1, pp.43-56, 2014. 
[8] B. Wang, B. Li, and H. Li, “Knox: privacy-preserving auditing for shared data with large groups in the cloud,” Applied Cryptography and Network Security. Springer Berlin Heidelberg, pp. 507-525, 2012. 
[9] B. Wang, H. Li, and M. Li, “Privacy-preserving public auditing for shared cloud data supporting group dynamics,” Proceedings of IEEE ICC, pp. 1946-1950, 2013.
 [10] B. Wang, B. Li, and H. Li, “Public auditing for shared data with efficient user revocation in the cloud,” Proceedings of IEEE INFOCOM, pp. 2904- 2912, 2013. 
[11] B. Wang, B. Li, and H. Li, “Panda: Public auditing for shared data with efficient user revocation in the cloud,” IEEE Transactions on Services Computing, vol.8, no.1, pp. 92-106, 2015.
[12] C. Liu, J. Chen, L. Yang, et al, “Authorized public auditing of dynamic big data storage on cloud with efficient verifiable fine-grained updates,” IEEE Transactions on Parallel and Distributed Systems, vol.25, no.9, pp. 2234-2244, 2014.
 [13] H. Wang, and Y. Zhang, “On the Knowledge Soundness of a Cooperative Provable Data Possession Scheme in Multicloud Storage,” IEEE Transactions on Parallel and Distributed Systems, vol.25, no.1, pp. 264-267, 2014.
 [14] L. Huang, G. Zhang, and A. Fu, “Privacy-preserving public auditing for dynamic group based on hierarchical tree,” Journal of Computer Research and Development, vol.53, no.10, pp. 2334-2342, 2016. [15] Y. Yu, J. Ni, M. Au, et al, “Comments on a public auditing mechanism for shared cloud data service,” IEEE Transactions on Services Computing,vol.8, no.6, pp. 998-999 2015. 
[16] G. Ateniese, R. Burns, R. Curtmola, et al, “Provable data possession at untrusted stores,” Proceedings of ACM CCS, pp. 598-609, 2007.
 [17] A. Juels, and B. Kaliski, “PORs: Proofs of retrievability for large files,” Proceedings of ACM CCS, pp. 584-597, 2007.
 [18] Y. Yu, M. H. Au, and Y. Mu, “Enhanced privacy of a remote data integrity-checking protocol,” International Journal of Information Security, vol. 14, no. 4, pp. 307-318, 2015.
 [19] J. Yuan, and S. Yu, “Efficient public integrity checking for cloud data sharing with multi-user modification,” Proceedings of IEEE INFOCOM, pp. 2121-2129, 2014.
 [20] H. Wang, “Identity-based distributed provable data possession in multicolored storage,” IEEE Transactions on Services Computing, vol.8, no.2, pp.328-340, 2015.
 [21] L. Huang, G. Zhang, A. Fu, “Certificateless Public Verification Scheme with Privacy-preserving and Message Recovery for Dynamic Group,” Proceedings of ACSW, 2017. 
[22] T. Jiang, X. Chen, and J. Ma, “Public integrity auditing for shared dynamic cloud data with group user revocation,” IEEE Transactions on Computers, vol.65, no.8, pp.2363-2373, 2016. 
[23] H. Wang, “Proxy Provable Data Possession in Public Clouds,” IEEE Transactions on Services Computing, vol.6, no.4, pp.551-559, 2013. 
[24] Y. Yu, Y. L, J. N, et al., “Comments on public integrity auditing for dynamic data sharing with multiuser modification,” IEEE Transactions on Information Forensics and Security, vol.11, no.3, pp.658-659, 2016.
 [25] H. Jin, D. Wong, and Y. Xu, “Efficient group signature with forward secure revocation,” Security Technology. Springer Berlin Heidelberg, pp. 124-131, 2009.
[26] Mr. M. VEERABRAHMA CHARY, Mrs.N.SUJATHA,” A Novel Additive Multi-Keyword Search for Multiple Data Owners in Cloud Computing .” International Journal of Computer Engineering In Research Trends., vol.3, no.6, pp. 308-313, 2016.
[27] G.Lucy, D.Jaya Narayana Reddy, R.Sandeep Kumar,” Enabling Fine-grained Multi-keyword Search Supporting Classified Sub-dictionaries over Encrypted Cloud Data.” International Journal of Computer Engineering In Research Trends., vol.2, no.12, pp. 919-923, 2015.
 [28] G.Dileep Kumar, A.Sreenivasa Rao,” Privacy-Preserving Public Auditing using TPA for Secure Searchable Cloud Storage data.” International Journal of Computer Engineering In Research Trends., vol.2, no.11, pp. 767-770, 2015. 
[29] N. Meghasree,  U.Veeresh, Dr.S.Prem Kumar,” Multi Cloud Architecture to Provide Data Privacy and Integrity.” International Journal of Computer Engineering In Research Trends., vol.2, no.9, pp. 558-564, 2015. 
[30] P.FARZANA, A.HARSHAVARDHAN,” Integrity Auditing for Outsourced Dynamic Cloud Data with Group User Revocation.” International Journal of Computer Engineering In Research Trends., vol.2, no.11, pp. 877-881, 2015. 

[1]Jingbo Yan, Yuqing Zhang, Xuefeng Liu,” Secure multi-keyword search supporting dynamic update and ranked retrieval,” Communication Technology (ICT)., Volume: 13, Issue: 10.
 [2] SONG D, WAGNER D, PERRIG A. Practical techniques for searches on encrypted data[C]// Proceedings of IEEE Symposium on Security and Privacy, 2000: 44-45.
[3] BOSCH C, HARTEL P, JONKER W, et al. A Survey of Provably Secure Searchable Encryption [J].ACM Computing Surveys, 2015, 47(2): 1-51.
[4] GOLLE P, STADDON J, and WATERS B. Secure Conjunctive Keyword Search over Encrypted Data[C]// Proceedings of Applied Cryptography and Network Security (ACNS), June 8-11, 2004:31-45.
[5] SUN Wenhai, WANG Bing, CAO Ning, et al. Verifiable Privacy-preserving Multi-keyword Text Search in the Cloud Supporting Similarity-based Ranking [J]. IEEE Transactions on Parallel and Distributed Systems, 2013, 25(11):71-82.
[6] CAO Ning, WANG Cong, LI Ming, et al. Privacy-Preserving Multi-Keyword Ranked Search over Encrypted Cloud Data [J]. IEEE Transactions on Parallel and Distributed Systems, 2014, 25(1): 222-233.
[7] XIA Zhihua, WANG Xinhui, SUN Xingming, et al.A Secure and Dynamic Multi-Keyword Ranked Search Scheme over Encrypted Cloud Data [J].IEEE Transactions on Parallel and Distributed Systems, 2016, 27(2): 340-352.
[8] KAMARA S, PAPAMANTHOU C, ROEDER T. Dynamic searchable symmetric encryption[C]//Proceedings of the 2012 ACM conference on Computer and communications security (CCS),2012: 965-976.
[9] CASH D, JAEGER J, JARECKI S. Dynamic Searchable Encryption in Very-Large Databases: Date Structures and Implementation[C]// Network & Distributed System Security Symposium (NDSS),February 23-26, 2014.
[10] KAMARA S, PAPAMANTHOU C. Parallel and dynamic, searchable symmetric encryption[C]//Proceedings of Financial Cryptography and Data Security (FC), April 1-5, 2013: 258-274.
[11] BISHOP A, JAIN A, KOWALCZYK L. Function-Hiding Inner Product Encryption[C]//Proceedings of Advances in Cryptology—ASIAic
[12] A.Raghavendra Praveen Kumar, K.Tarakesh,U.Veeresh,” A Secure and Dynamic Multi Keyword Ranked Search Scheme over encrypted.” International Journal of Computer Engineering In Research Trends., vol.2, no.12, pp. 1137-1141, 2015.
[13] Mr. M. VEERABRAHMA CHARY, Mrs.N.SUJATHA,” A Novel Additive Multi-Keyword Search for Multiple Data Owners in Cloud Computing .” International Journal of Computer Engineering In Research Trends., vol.3, no.6, pp. 308-313, 2016.
[14] G.Lucy, D.Jaya Narayana Reddy, R.Sandeep Kumar,” Enabling Fine-grained Multi-keyword Search Supporting Classified Sub-dictionaries over Encrypted Cloud Data.” International Journal of Computer Engineering In Research Trends., vol.2, no.12, pp. 919-923, 2015.
[15] G.Dileep Kumar, A.Sreenivasa Rao,” Privacy-Preserving Public Auditing using TPA for Secure Searchable Cloud Storage data.” International Journal of Computer Engineering In Research Trends., vol.2, no.11, pp. 767-770, 2015. 

[1]	M. Liem and D. Gavrila, “A comparative study on multi-person tracking using overlapping cameras,” in-proc. 9th Int. Comput. Vis. Syst., 2013, pp. 203–212.
[2]	C. Vondrick, D. Patterson, and D. Ramanan, “Efficiently scaling up crowdsourced video annotation,” Int. J. Comput. Vis., vol. 101, no. 1, pp. 184–204, Jan. 2013, doi: 10.1007/s11263-012-0564-1.
[3]	A. Utasi and C. Benedek, “A multi-view annotation tool for people detection evaluation,” in-proc. VIGTA, 2012, pp. 1–6.
[4]	L.ˇ Cehovin, M. Kristan, and A. Leonardis, “Is my new tracker better than yours?” in proc. WACV, Mar. 2014, pp. 540–547.
[5]	L. Marcenaro, P. Morerio, and C. S. Regazzoni, “Performance evaluation of multi-camera visual tracking,” in Proc. AVSS, Sep. 2012, pp. 464–469.
[6]	A. Milan, K. Schindler, and S. Roth, “Challenges of ground truth evaluation of multi-target tracking,” in Proc. CVPRW, Jun. 2013, pp. 735–742.
[7]	M. Kristan et al., “The visual object tracking VOT2013 challenge results,” in Proc. ICCVW, Dec. 2013, pp. 98–111.
[8]	S. Vijayanarasimhan and K. Grauman, “Active frame selection for label propagation in videos,” in-proc. ECCV, 2012, pp. 496–509.
[9]	I. Kavasidis, S. Palazzo, R. Di Salvo, D. Giordano, and C. Spampinato, “A semi-automatic tool for detection and tracking ground truth generation in videos,” in Proc. VIGTA, 2012, pp. 1–5.
[10]	I. Kavasidis, S. Palazzo, R. D. Salvo, D. Giordano, and C. Spampinato, “An innovative Web-based collaborative platform for video annotation,” Multimedia Tools Appl., vol. 70, no. 1, pp. 413–432, May 2013.
[11]	 Ajin P Thomas, Sruthi P.S, Jerry Rachel Jacob, Vandana V Nair, Reeba R,” Survey on Different Applications of Image Processing.” International Journal of Computer Engineering In Research Trends.,vol.4,no.2,pp. 13-19,2017. 
[12]	Trisha Chakraborty, Nikita Nalawade, Abhishri Manjre, Akanksha Sarawgi, Pranali P Chaudhari,” Review of Various Image Processing Techniques for Currency Note Authentication.” International Journal of Computer Engineering In Research Trends.,vol.3,no.3,pp. 119-122,2016. 
[13]	Gunjan, Er. Madan Lal,” Investigation of Various Image Steganography Techniques in Spatial Domain.” International Journal of Computer Engineering In Research Trends., vol.3,no.6,pp. 347-351,2016. 
[14]	 G.Prasanthi, A.Somasekhar,” Anti-Theft Tracking and Controlling Of Vehicle According Us.” International Journal of Computer Engineering In Research Trends., vol.2, no.12, pp. 898-903, 2015. 

[1] P. Anderson and L. Zhang. “Fast and secure laptop backups with encrypted de-duplication”. In Proc. of USENIX LISA, 2010.
[2] M. Bellare, S. Keelveedhi, and T. Ristenpart. “Dupless: Server aided encryption for deduplicated storage”. In USENIX Security Symposium, 2013. 
[3] Pasqualo Puzio, Refik Molva ,MelekOnen,”CloudDedup: Secure Deduplication with Encrypted Data for Cloud Storage”, SecludIT and EURECOM, France. 
[4] Iuon –Chang Lin, Po-ching Chien ,”Data Deduplication Scheme for Cloud Storage” International Journal of Computer and Control(IJ3C),Vol1,No.2(2012) 
[5] Shai Halevi, Danny Harnik, Benny Pinkas,”Proof of Ownership in Remote Storage System”, IBM T.J.Watson Research Center, IBM Haifa Research Lab, Bar IIan University,2011.
 [6] M. Shyamala Devi, V.Vimal Khanna,Naveen Balaji ”Enhanced Dynamic Whole File De-Duplication(DWFD) for Space Optimization in Private Cloud Storage Backup”,IACSIT, August,2014.
 [7] Weak Leakage-Resilient Client –Side deduplication of Encrypted Data in Cloud Storage” Institute for Info Comm Research,Singapore,2013
 [8] Tanupriya Chaudhari , Himanshu shrivastav, Vasudha Vashisht, ”A Secure Decentralized Cloud Computing Environment over Peer to Peer”,IJCSMC,April,2013 
[9] Mihir Bellare, Sriram keelveedhi,Thomas Ristenart ,”DupLESS: Server Aided Encryption for Deduplicated storage” University of California, San Diego2013.
[10] Luna SA HSM. http://bit.ly/17CDPm1.
 [11] Opendedup. http://opendedup.org/. 
[12] Atul Adya, William J Bolosky, Miguel Castro, Gerald Cermak, Ronnie Chaiken, John R Douceur, Jon Howell, Jacob R Lorch, Marvin Theimer, and Roger P Wattenhofer. Farsite: Federated, available, and reliable storage for an incompletely trusted environment. ACM SIGOPS Operating Systems Review, 36(SI):1–14, 2002.
 [13] Mihir Bellare, Alexandra Boldyreva, and Adam ONeill. Deterministic and efficiently searchable encryption. In Advances in Cryptology-CRYPTO 2007, pages 535–552. Springer, 2007.
 [14] Mihir Bellare, Sriram Keelveedhi, and Thomas Ristenpart. Dupless: Server-aided encryption for deduplicated storage. 2013. 
[15] Mihir Bellare, Sriram Keelveedhi, and Thomas Ristenpart. Message-locked encryption and secure deduplication. In Advances in Cryptology–EUROCRYPT 2013, pages 296–312. Springer, 2013.
 [16] Kevin D. Bowers, Ari Juels, and Alina Oprea. Hail: a high-availability and integrity layer for cloud storage. In Proceedings of the 16th ACM conference on Computer and communications security, CCS ’09, pages 187–198, New York, NY, USA, 2009. ACM.
 [17] Landon P Cox, Christopher D Murray, and Brian D Noble. Pastiche: Making backup cheap and easy. ACM SIGOPS Operating Systems Review, 36(SI):285–298, 2002.
 [18] John R Douceur, Atul Adya, William J Bolosky, P Simon, and Marvin Theimer. Reclaiming space from duplicate files in a serverless distributed file system. In Distributed Computing Systems, 2002. Proceedings. 22nd International Conference on, pages 617–624. IEEE, 2002.
 [19] Danny Harnik, Benny Pinkas, and Alexandra Shulman-Peleg. Side channels in cloud services: Deduplication in cloud storage. Security & Privacy, IEEE, 8(6):40–47, 2010.
[20] Jollu Jayachandrudu,M.Sri lakshmi,Dr.S.Prem Kumar,” Enhanced Independent Access to Encrypted Cloud Databases ,”International Journal of Computer Engineering In Research Trends.,vol.2,no.9,pp. 589-593,2015.
[21] K.Naga Maha Lakshmi ,A.Shiva Kumar ,” Secure Data Deduplication and Data accessing among Multi-cloud Framework ,”International Journal of Computer Engineering In Research Trends.,vol.2,no.10,pp. 687-693,2015.
[22] D.Jayanarayana Reddy,M.Janardhan ,U.Veeresh,” Secure Data Deduplication over Distributed Cloud Server Framework with Effective User Revocation and Load Balancing.” International Journal of Computer Engineering In Research Trends.,vol.4,no.2,pp. 57-62,2017.
[23] Aradhyula Venkata Ramu, D.Ravi Kiran,” Novel Approach for Secure Data deduplication System .” International Journal of Computer Engineering In Research Trends.,vol.2,no.10,pp. 896-901,2015.
[24] K.Sudhamani,P.Rama Rao,R.Vara Prasad,” Secure Auditing and Deduplicating Data in Cloud,”International Journal of Computer Engineering In Research Trends.,vol.3,no.1,pp. 1-5,2016.

1.	J.Byun and N.Li, “Purpose based access control for privacy protection in a relational database system,” VLDB J., vol.17, no.4, pp. 603–619, 2008.
2.	M.E.Kabir and H.Wang, “Conditional purpose based access control model for privacy protection,” in Proc. 20th Australian Conference Australian Database, 2009, vol.92, pp. 135–142.
3.	P.Colombo and E.Ferrari, “Enforcement of purpose based access control within relational database management systems,” IEEE Transactions Knowledge Data Engineering, vol.26, no.11, pp.2703-2716, Nov 2014.
4.	P.Colombo and E.Ferrari, “Enforcing obligations within relational database management systems”, IEEE Transactions Dependable secure computing, vol.11, no.4, pp.318-331, Jul/Aug 2014.
5.	M. Jafari, P. W. Fong, R. Safavi-Naini, K. Barker, and N. P. Sheppard, “Towards defining Semantic foundations for purpose-based privacy policies,” in Proc. 1st ACM Conf. Data Appl. Security Privacy, 2011, pp. 213-224.
6.	P.Colombo and E.Ferrari, “Efficient enforcement of action-aware purpose-based access control within relational database management systems,” IEEE Transaction Knowledge Data Engineering, vol. 27, no.08, pp. 2134-2147, Aug 2015.
7.	M. Kabir, H. Wang, and E. Bertino, “A role-involved conditional purpose-based access control model,” in E-Government, E-Services and Global Processes, series IFIP Advances in Information and Communication Technology, vol. 334, M. Janssen, W. Lamersdorf, J. Pries-Heje, and M. Rosemann, Eds. Springer, 2010. 
8.	V.Nikitha, P.Jhansi , K.Neelima and D.Anusha ,” Data sets preparing for Data mining analysis by SQL Horizontal Aggregation,” International Journal of Computer Engineering In Research Trends.,vol.3,no.9,pp. 225-229,2014.
9.	Neelima Kuderu, Dr. Vijaya Kumari,” Relational Database to NoSQL Conversion by Schema Migration and Mapping ,”International Journal of Computer Engineering In Research Trends.,vol.3,no.9,pp. 506-513,2016.
10.	Jollu Jayachandrudu,M.Sri lakshmi,Dr.S.Prem Kumar,” Enhanced Independent Access to Encrypted Cloud Databases ,”International Journal of Computer Engineering In Research Trends.,vol.2,no.9,pp. 589-593,2015. 

[1] Jun Shao, Xiaodong Lin, “A threshold anonymous authentication protocol for valet”
[2] S. Dietzel, E. Schoch, B. K¨onings, M. Weber, and F. Kargl, “Resilient, secure aggregation for vehicular networks,” IEEE Network, vol. 24, no. 1, pp. 26–31, 2010. [Online]. Available: http://dx.doi.org/10.1109/ MNET.2010.5395780
 [3] “The car two car communication consortium,” http://www.car-to-car.org/.
[4] P. Papadimitratos, L. Butty´an, T. Holczer, E. Schoch, J. Freudiger, M. Raya, Z. Ma, F. Kargl, A. Kung, and J. Hubaux, “Secure vehicular communication systems: Design and architecture,” CoRR, vol. abs/0912.5391, 2009. [Online]. Available: http://arxiv.org/abs/0912.5391
 [5] G. Ateniese, J. Camenisch, M. Joye, and G. Tsudik, “A practical and provably secure coalition-resistant group signature scheme,” in Advances in Cryptology - CRYPTO 2000, 20th Annual International Cryptology Conference, Santa Barbara, California, USA, August 20-24, 2000, Proceedings, 2000, pp. 255–270. [Online]. Available: http://dx.doi.org/10.1007/3-540-44598-6 16
 [6] J. Hubaux, S. Capkun, and J. Luo, “The security and privacy of smart vehicles,” IEEE Security & Privacy, vol. 2, no. 3, pp. 49–55, 2004. [Online]. Available: http://doi.ieeecomputersociety.org/10.1109/ MSP.2004.26
 [7] M. Raya and J. Hubaux, “Securing vehicular ad hoc networks,” Journal of Computer Security, vol. 15, no. 1, pp. 39–68, 2007. [Online]. Available: http://iospress.metapress.com/openurl.asp?genre= article&issn=0926-227X&volume=15&issue=1&spage=39
 [8] Y. Sun, R. Lu, X. Lin, X. Shen, and J. Su, “An ef?cient pseudonymous authentication scheme with strong privacy preservation for vehicular communications,” IEEE T. Vehicular Technology, vol. 59, no. 7, pp. 3589–3603, 2010. [Online]. Available: http: //dx.doi.org/10.1109/TVT.2010.2051468
 [9] X. Lin and X. Li, “Achieving ef?cient cooperative message authentication in vehicular ad hoc networks,” IEEE T. Vehicular Technology, vol. 62, no. 7, pp. 3339–3348, 2013. [Online]. Available: http://dx.doi.org/10.1109/TVT.2013.2257188 
[10] L. Wischhof, A. Ebner, and H. Rohling, “Information dissemination in self-organizing intervehicle networks,” IEEE Transactions on Intelligent Transportation Systems, vol. 6, no. 1, pp. 90–101, 2005. [Online]. Available: http://dx.doi.org/10.1109/TITS.2004.842407
 [11] P. Golle, D. H. Greene, and J. Staddon, “Detecting and correcting malicious data in vanets,” in Proceedings of the First International Workshop on Vehicular Ad Hoc Networks, 2004, Philadelphia, PA, USA, October 1, 2004, 2004, pp. 29–37. [Online]. Available: http://doi.acm.org/10.1145/1023875.1023881
 [12] L. Zhang, Q. Wu, A. Solanas, and J. Domingo-Ferrer, “A scalable robust authentication protocol for secure vehicular communications,” IEEE T. Vehicular Technology, vol. 59, no. 4, pp. 1606–1617, 2010. [Online]. Available: http://dx.doi.org/10.1109/TVT.2009.2038222
[13] L. Chen, S. Ng, and G. Wang, “Threshold anonymous announcement in vanets,” IEEE Journal on Selected Areas in Communications, vol. 29, no. 3, pp. 605–615, 2011. [Online]. Available: http: //dx.doi.org/10.1109/JSAC.2011.110310
[14] U. S. D. of Transportation, “Dedicated short range communications,” http://www.its.dot.gov/DSRC/.
[15] D. Chaum and E. van Heyst, “Group signatures,” in Advances in Cryptology - EUROCRYPT ’91, Workshop on the Theory and Application of of Cryptographic Techniques, Brighton, UK, April 8-11, 1991, Proceedings, 1991, pp. 257–265. [Online]. Available: http://dx.doi.org/10.1007/3-540-46416-6 22
[16] D. Boneh, X. Boyen, and H. Shacham, “Short group signatures,” in Advances in Cryptology - CRYPTO 2004, 24th Annual International CryptologyConference, Santa Barbara, California, USA, August 1519, 2004, Proceedings, 2004, pp. 41–55. [Online]. Available: http://dx.doi.org/10.1007/978-3-540-28628-8 3
[17] Anusha.V,K.Sumalatha,” Mobile Social Networks for Flattering Unsigned Profile Matching ,” International Journal of Computer Engineering In Research Trends.,vol.1,no.6,pp. 384-390,2014.
[18] D.Ramanjaneyulu ,U.Usha Rani,” In Service-Oriented MSN Providing Trustworthy Service Evaluation,” International Journal of Computer Engineering In Research Trends.,vol.2,no.12,pp. 1192-1197,2015.
[19] Komal Patil, Geeta Mahajan, Disha Patil and Chitra Mahajan,” Implementation of Motion Model Using Vanet,” International Journal of Computer Engineering In Research Trends.,vol.3,no.4,pp. 179-182,2016.
[20] Pocha Nageswara Reddy, I.S.Raghuram, Dr.S.Prem Kumar,” Advance EMAP for Vehicular Ad Hoc Networks.” International Journal of Computer Engineering In Research Trends.,vol.1,no.4,pp. 253-258,2016. 

[1]   “Qik,” http://qik.com/, 2014. 
[2]    “Flixwagon,” http://www.flixwagon.com/, 2014. 
[3]	C. Palazzi and A. Bujari, “A Delay/Disruption Tolerant Solution for Mobile to Mobile File Sharing,” Proc. IFIP/IEEE Wireless Days, 2010. 
[4]    Y. Tseng, S. Ni, and E. Shih, “Adaptive Approaches to Relieving Broadcast Storms in a Wireless Multihop Mobile Ad Hoc Network,” Proc. 21st Int’l Conf. Distributed Computing Systems (ICDCS), pp. 481-488, 2001. 
[5]	B. Chiara et al., “HiBOp: A History Based Routing Protocol for Opportunistic Networks,” Proc. IEEE Int’l Symp. World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2007. 
[6]	A. Lindgren, A. Doria, and O. Schelen, “Probabilistic Routing in Intermittently Connected Networks,” ACM SIGMOBILE Mobile Computing and Comm. Rev., vol. 7, no. 3, pp. 19-20, 2003. 
[7]	F. Li and J. Wu, “MOPS: Providing Content-Based Service in Disruption-Tolerant Networks,” Proc. IEEE 29th Int’l Conf. Distributed Computing Systems (ICDCS), 2009. 
[8]	      S. Moussaoui, M. Guerroumi, and N. Badache, “Data Replication in Mobile Ad Hoc Networks,” Proc. Second Int’l Conf. Mobile Ad-hoc and Sensor Networks (MSN), pp. 685-697, 2006. 
[9]	L. Yin and G. Cao, “Supporting Cooperative Caching in Ad Hoc Networks,” IEEE Trans. Mobile Computing, vol. 5, no. 1, pp. 77-89, Jan. 2006. 
[10]		C.V.Anchugam,Dr.K.Thangadurai,” Link quality based Ant based Routing Algorithm (LARA) in MANETs,” International Journal of Computer Engineering In Research Trends.,vol.4,no.1,pp.52-60,2017.
[11]  Nilima N. Patil, Kuldeep K. Vartha, Ashwini W. Wankhade, Sagar A. Patil,” Secure Routing for MANET in Adversarial Environment,” International Journal of Computer Engineering In Research Trends.,vol.3,no.4,pp.199-203,2016.
[12]   Priya Manwani, Deepty Dubey,” Hybrid Protocol for Security Peril Black Hole Attack in MANET,” International Journal of Computer Engineering In Research Trends.,vol.3,no.3,pp. 92-97,2016.
[13]   N.Asha Jyothi, G.Ramya, G.Mounika, R.Sandeep Kumar,” Enhance the QoS capability of Hybrid Networks using QoS-Oriented Distributed Routing Protocol,” International Journal of Computer Engineering In Research Trends.,vol.1,no.4,pp. 178-82,2014.
[14]   Jalagam Nagamani,K.Sumalatha,” EAACK: Secure IDS for Wireless Sensor Networks,” International Journal of Computer Engineering In Research Trends.,vol.1,no.6,pp. 461-469,2014.
[15]   Komal Patil, Geeta Mahajan, Disha Patil, Chitra Mahajan,” Implementation of Motion Model Using Vanet”, International Journal of Computer Engineering In Research Trends.,vol.3,no.4,pp. 179-1,2014.

1.	2016: Current State of Cybercrime, RSA    whitepaper.
2.	Basic survey on Malware Analysis, Tools, and Techniques. Dolly Uppall, Vishaka Mehra, and Vinod Verma, 2013.
3.	A survey of cybercrime. Zhicheng Yang., 2012.
4.	Detecting and Classifying Morphed Malware: A Survey Sanjam Singla, 2012.
5.	Evolution, Detection, and Analysis of Malware for Smart Devices Guillermo Suarez-Tangil, Juan E. Tapiador, Pedro Peris-Lopez, and Arturo Ribagorda, 2012.
6.	A Survey on Techniques in Detection and Analyzing Malware Executables Kirti Mathur, 2012.
7.	Malware Analysis and Classification: A Survey Ekta Gandotra, Divya Bansal, Sanjeev Sofat, 2012.
8.	Malware and cyber crime. House of Commons, Science and Technology Committee. 2012.
9.	Malware and Malware Detection Techniques: A Survey. Jyoti Landage, 2011.
10.	A Survey on Malware Attacks on Smartphones Kireet, Dr.Meda, and Sreenivasa Rao, 2011.
11.	Cybercrime and it’s types, analysis, and prevention techniques, Alpna, Sona Malhotra 2016.
12.	Web based Forensic Systems, srivathsa rao, vinaya hegde, jyothi Prasad, ijsrt, 2011.
13.	Y. Li and A. Nosratinia, “Security in cyber forensics,” Wireless Communications, IEEE Transactions on, vol. 11, no. 1, pp. 328–337, 2011.
14.	Cyber Black Box: Network intrusion forensics system for collecting and preserving evidence of attack, Jong Hyun Kim, Australian Fornsics, 2015
15.	Cybersecurity:risks, vulnerabilities and countermeasures to prevent social engineering attacks Conteh, Schmick, 2016

[1] Qi L, Tao R, Zhou S, Wang Y., Detection and parameter estimation of multicomponent LFM signal based on the fractional Fourier transform. Science in China series F: information sciences, 2004, 47(2), pp. 184-98.
[2] Claasen T, Mecklenbräuker W., TIME-FREQUENCY SIGNAL ANALYSIS. Philips Journal of Research. 1980, 35(4/5), pp. 276-300.
[3] Rao P, Taylor F. Estimation of instantaneous frequency using the discrete Wigner distribution. Electronics letters, 1990,126 (4), pp. 246-8.
[4] Choi H, Williams W., Improved time-frequency representation of multicomponent signals using exponential kernels. IEEE Transactions on Acoustics, Speech, and Signal  Processing, 1989, 37(6), pp. 862-71.
[5] Hossen AN, Heute U, Shentov OV, Mitra SK. Subband DFT—part II: accuracy, complexity and applications. Signal Processing, 1995,41(3), pp. 279-94.
[6] Hammond JK, White PR., The analysis of non-stationary signals using time-frequency methods. Journal of Sound and Vibration. 1996, 190(3), pp. 419-47.
[7] Chen VC, Ling H., Time-frequency transforms for radar imaging and signal analysis.  Artech House, 2002.
[8] Narayanan VA, Prabhu KM.,  The fractional Fourier transform: theory, implementation and error analysis. Microprocessors and Microsystems, 2003, 27(10), pp. 511-21.
[9] Qu H, Wang R, Qu W, Zhao P.,  Research on DOA Estimation of Multi-Component LFM Signals Based on the FRFT. Wireless Sensor Network, 2009, 1(3), pp. 171-81.
[10] Sun HB, Liu GS, Gu H, Su WM, Application of the fractional Fourier transform to  moving target detection in airborne SAR, IEEE Transactions on Aerospace and  Electronic Systems, 2002, 38(4), pp. 1416-24.
[11] Tao R, Zhang F, Wang Y., Fractional power spectrum. IEEE Transactions on Signal Processing. 2008, 56(9), pp. 4199-206.
[12] Podder P, Khan TZ, Khan MH, Rahman MM. Comparative performance analysis of hamming, hanning and blackman window. International Journal of Computer  Applications, 2014,96(18), pp. 2001-2006.

[1] Z. Xiao and Y. Xiao, “Security and privacy in cloud computing,” IEEE Communications Surveys & Tutorials,, vol. 15, no. 2, pp. 843–859, 2013.
[2] M. L. Yiu, G. Ghinita, C. S. Jensen, and P. Kalnis, “Enabling search services on outsourced private spatial data,” The VLDB Journal, vol. 19, no. 3, pp. 363–384, 2010.
 [3] P. Wang and C. V. Ravishankar, “Secure and efficient range queries on outsourced databases using r-trees,” in 2013 IEEE 29th International Conference on Data Engineering (ICDE). IEEE, 2013, pp. 314–325.
 [4] A. M. Talha, I. Kamel, and Z. A. Aghbari, “Enhancing confidentiality and privacy of outsourced spatial data,” in 2015 IEEE 2nd International Conference on Cyber Security and Cloud Computing (CSCloud). IEEE, 2015, pp. 13–18. 
 [5] S. Yu, C. Wang, K. Ren, and W. Lou, “Achieving secure, scalable, and fine-grained data access control in cloud computing,” in IEEE Infocom, 2010 proceedings. IEEE, 2010, pp. 1–9. 
[6] H. Xu, S. Guo, and K. Chen, “Building confidential and efficient query services in the cloud with rasp data perturbation,” IEEE transactions on knowledge and data engineering, vol. 26, no. 2, pp. 322–335, 2014. 
[7] H. Hu, J. Xu, C. Ren, and B. Choi, “Processing private queries over untrusted data cloud through privacy homomorphism,” in IEEE 27th International Conference on Data Engineering. IEEE, 2011, pp. 601– 612.
 [8] G. Zhao, C. Rong, J. Li, F. Zhang, and Y. Tang, “Trusted data sharing over untrusted cloud storage providers,” in IEEE Second International Conference on Cloud Computing Technology and Science (CloudCom). IEEE, 2010, pp. 97–103.
[9] H. Hacigum¨ us, B. Iyer, and S. Mehrotra, “Providing database as a ¨ service,” in 18th International Conference on Data Engineering, 2002. Proceedings. IEEE, 2002, pp. 29–38. [10] E. Damiani, S. Vimercati, S. Jajodia, S. Paraboschi, and P. Samarati, “Balancing confidentiality and efficiency in untrusted relational dbmss,” in Proceedings of the 10th ACM conference on Computer and Communications Security. ACM, 2003, pp. 93–102. 
 [11] W.-S. Ku, L. Hu, C. Shahabi, and H. Wang, “Query integrity assurance of location-based services accessing outsourced spatial databases,” in Advances in Spatial and Temporal Databases. Springer, 2009, pp. 80– 97.
 [12] A. Khoshgozaran and C. Shahabi, “Private buddy search: Enabling private spatial queries in social networks,” in International Conference on Computational Science and Engineering, 2009 (CSE’09)., vol. 4. IEEE, 2009, pp. 166–173.
[13] Anil Kumar Uppula , Srinivasulu Tadisetty ,” Achieving better Authentication and Copyright protection Using DWT and SVD Based Watermarking Scheme,”International Journal of Computer Engineering In Research Trends.,vol.3,no.9,pp.487-491,September 2016.
[14] Venkata Srinivasu Veesam, Bandaru Satish Babu,” Evaluation of Captcha Technologies towards Graphical Password Scheme,” International Journal of Computer Engineering In Research Trends.,vol.2,no.1,pp.98-106,February 2015.
[15] D.J. Ashpin Pabi, N.Puviarasan, P.Aruna,” Fast Singular value decomposition based image compression using butterfly particle swarm optimization technique (SVD-BPSO),” International Journal of Computer Engineering In Research Trends.,vol.4,no.4,pp.128-135,April 2017.

[1] H. Chan, A. Perrig, and D. Song, “Random key predistribution schemes for sensor networks,” in Proc. IEEE Symp. SP, May 2003, pp. 197–213.
[2] W. Du, J. Deng, Y. S. Han, and P. K. Varshney, “A key predistribution scheme for sensor networks using deployment knowledge,” IEEE Trans. Dependable Secure Comput., vol. 3, no. 1, pp. 62–77, Jan./Mar. 2006.
[3] W. Du, J. Deng, Y. S. Han, P. Varshney, J. Katz, and A. Khalili, “A pairwise key predistribution scheme for wireless sensor networks,” ACM Trans. Inf. Syst. Secur., vol. 8, no. 2, pp. 228–258, 2005.
[4] M. Rahman and K. El-Khatib, “Private key agreement and secure communication for heterogeneous sensor networks,” J. Parallel Distrib. Comput., vol. 70, no. 8, pp. 858–870, 2010.
[5] M. R. Alagheband and M. R. Aref, “Dynamic and secure key management model for hierarchical heterogeneous sensor networks,” IET Inf. Secur., vol. 6, no. 4, pp. 271–280, Dec. 2012.
[6] D. S. Sanchez and H. Baldus, “A deterministic pairwise key predistribution scheme for mobile sensor networks,” in Proc. 1st Int. Conf. SecureComm, Sep. 2005, pp. 277–288.
[7] I.-H. Chuang, W.-T. Su, C.-Y. Wu, J.-P. Hsu, and Y.-H. Kuo, “Two-layered dynamic key management in mobile and long-lived cluster-based wireless sensor networks,” in Proc. IEEE WCNC, Mar. 2007, pp. 4145–4150.
[8] S. Agrawal, R. Roman, M. L. Das, A. Mathuria, and J. Lopez, “A novel key update protocol in mobile sensor networks,” in Proc. 8th Int. Conf. ICISS, vol. 7671. 2012, pp. 194–207.
[9] S. U. Khan, C. Pastrone, L. Lavagno, and M. A. Spirito, “An energy and memory-efficient key management scheme for mobile heterogeneous sensor networks,” in Proc. 6th Int. Conf. CRiSIS, Sep. 2011, pp. 1–8.
[10] X. Zhang, J. He, and Q. Wei, “EDDK: Energy-efficient distributed deterministic key management for wireless sensor networks,” EURASIP J. Wireless Commun. Netw., vol. 2011, pp. 1–11, Jan. 2011.
[11] N. Gura, A. Patel, A. Wander, H. Eberle, and S. C. Shantz, “Comparing elliptic curve cryptography and RSA on 8-bit CPUs,” in Proc. 6th Int. Workshop Cryptograph. Hardw. Embedded Syst., 2004, pp. 119–132.
[12] S. S. Al-Riyami and K. G. Paterson, “Certificateless public key cryptography,” in Proc. 9th Int. Conf. ASIACRYPT, vol. 2894. 2013, pp. 452–473.
[13] S. Seo and E. Bertino, “Elliptic curve cryptography based certificateless hybrid signcryption scheme without pairing,” CERIAS, West Lafayette, IN, USA, Tech. Rep. CERIAS TR 2013-10, 2013. [Online]. Available: https://www.cerias.purdue.edu/apps/reports_and_papers/.Seung-Hyun
[14] S. H. Seo, J. Won, and E. Bertino, “POSTER: A pairing-free certificateless hybrid sign cryption scheme for advanced metering infrastructures,” in Proc. 4th ACM CODASPY, 2014, pp. 143–146.
[15] Q. Huang, J. Cukier, H. Kobayashi, B. Liu, and J. Zhang, “Fast authenticated key establishment protocols for self-organizing sensor networks,” in Proc. 2nd ACM Int. Conf. WSNA, 2003, pp. 141–150.
[16] J.David Sukeerthi Kumar,” Investigation on Secondary Memory Management in Wireless Sensor Network,” International Journal of Computer Engineering In Research Trends.,vol .2,no.6,pp.387-391,June 2015.
[17] Kuruva Laxmanna, N.Poorna Chandra Rao, Dr.S.Prem Kumar,” Moderating vampire attacks in Wireless Sensor Network,” International Journal of Computer Engineering In Research Trends.,vol.1,no.3,pp.143-151,September 2014.
[18].P.G.V.SureshKumar,Seelam Sowjanya,”Developing an Enterpriseenvironment By Using Wireless Sensor Network System Architecture,” International Journal of Computer Engineering In Research Trends.,vol .2,no.10,pp.902-908,October 2015.
[19] Dr. C. Gulzar,AmeenaYasmeen," Maximum network lifetime with load balance and connectivity by clustering process for wireless sensor networks,”International Journal of Computer Engineering In Research Trends.,vol.3,no.7,pp.375-383,July 2016.
[20] A.Yogananda ,Chepuri Sai Teja ," A Multi-level Self-Controllable Authentication in Distributed m-Healthcare Cloud Environments, ” International Journal of Computer Engineering In Research Trends.,vol.3,no.8,pp.436-440,August 2016. 

[1]  P Shvaiko, J Euzenat Ontology Matching: State of the Art and Future Challenges IEEE Transaction on Knowledge and Data Engineering, Vol. 25, No1. January 2013 Page(s): 158-176
[2]  Farrag, Tamer Ahmed, Saleh, Ahmed Ibrahim; Ali, Hesham Arafat Toward SWSs Discovery: Mapping from WSDL to OWL-S Based on Ontology Search and Standardization Engine IEEE Transaction on Knowledge and Data Engineering, Vol. 25, No5.  May 2013pages 1135-1147.
[3] A Telang, C Li, S Chakravarthy One Size Does Not Fit All: Toward User- and Query-Dependent Ranking for Web Databases IEEE transaction on knowledge and data engineering, vol 24, no9, September 2012 pages 1671 - 1685.
[4]  P Kremen, Z Kouba Ontology-Driven Information System Design IEEE Transaction on System, Man and Cybernetics-PartC: Applications and Reviewes, Vol. 42, No. 3, May 2012 pages 334 – 344.
[5] V Milea, F Frasincar, U Kaymak town: A Temporal Web Ontology Language IEEE Transaction on System, Man, and Cybernetics-PartB: Cybernetics, Vol. 42, No. 1, February 2012 pages 268 - 281.
[6] P Panov, S Dzeroski, L Soldatova OntoDM: An Ontology of Data Mining 2008 IEEE International Conference on Data Mining Workshops Page(s): 752 - 760.
  [7]  Wong, W Liu, M Bennamoun Ontology Learning from Text: A Look-Back and into the Future ACM Computing Surveys, Vol. 44, No. 4, Article 20, Publication date: August 2012.
[8]  Dimitrios A. Koutsomitropoulos, Ricardo Borillo Domenech, Georgia D. Solomou“A Structured Semantic Query Interface for Reasoning Based Search and Retrieval “The Semantic Web: Research and Applications Lecture Notes in Computer Sc. Volume 6643,2011,pp17-31.
[9]  J Zhai, K Zhou - Information Science and Management “Semantic Retrieval for Sports Information Based on Ontology and SPARQL” Published in:Information Science and Management Engineering (ISME), 2010 International Conference of  (Volume:1 )Date of Conference:7-8 Aug. 2010 Page(s): 395 - 398 .
[10]  Z Li, YL Zheng, SN Li, WW Liang  “A Knowledge Sharing Convergence Platform Based on OWL-S and Semantic         Relations” Published in Software Engineering (WCSE), 2010 Second World Congress on  (Volume:1 ) 19-20 Dec.  2010 Page(s): 65 - 68 .
[11]G. Shiva Prasad , N.V. Subba Reddy, U,Dinesh Acharya “Knowledge Discovery from Web Usage Data: A Survey of Web Usage Pre processing Techniques”  Information Processing and Management Communications in Computer and Information Science Volume 70, 2010, pp 505-507. 
[12]J. Euzenat and P. Shvaiko, Ontology Matching. Springer, 2007.
[13]F. Giunchiglia, M. Yatskevich, and P. Shvaiko, “Semantic Matching: Algorithms and Implementation,” J. on Data Semantics, vol. 9, pp. 1-38, 2007.
[14] J. Cardoso, Semantic Web Services: Theory, Tools, and Applications Idea Group, Inc., 2007.Web Services Description Language (WSDL), W3C Note, HTTP:// www.w3.org/TR/wsdl, 2001.
[15]Web Ontology Language for Services (OWL-S), W3C Member Submission, http://www.w3.org/Submission/OWL-S/, 2004.
[16]D. Martin, M. Burstein, D. Mcdermott, S.Mcilraith, M. Paolucci, K.Sycara, D.L. Mcguinness, E. Sirin, and N. Srinivasan, “Bringing Semantics to Web Services with OWL-S” World Wide Web, vol. 10, no. 3, pp. 243-277, Sept. 2007.
[17] T.A. Farrag and H.A. Ali, “A Cluster-Based Semantic Web Services Discovery and Classification,” Proc. ACME Second Int’l Conf. Advanced Computer Theory and Eng., pp. 1825-1834, 2009.
[18]B. Di Martino, “Semantic Web Services Discovery Based on Structural Ontology Matching,” Int’l J. Web and Grid Services, vol. 5, no. 1, pp. 46-65, 2009.
[19]OWL, http://www.w3.org/2004/OWL/, 2004.
[20]S Bhattacharjee, A Dwivedi, RR Prasad “Ontology based spatial clustering framework for implicit knowledge discovery” India Conference (INDICON), 2012 Annual IEEE 9 Dec. 2012 Page(s): 561 - 566 
[21]S. Chaudhuri, G. Das, V. Hristidis, and G. Weikum, “Probabilistic Ranking of Database Query Results,” Proc. 30th Int’l Conf. Very Large Data Bases (VLDB), pp. 888-899, 2004.
[22[C. Dwork, R. Kumar, M. Naor, and D. Sivakumar, “Rank Aggregation Methods for the Web,” Proc. Int’l Conf. World Wide Web (WWW), pp. 613-622, 2001.
[23]Yiyao Lu, Hai He, Hongkun Zhao, Weiyi Meng, Member, IEEE, and Clement Yu, Senior Member, IEEE Annotating Search Results from Web Databases IEEE Transaction on Knowledge and Data Engineering , Vol 25, No 3, March 2013.
[24] G Singh, V Jain, M Singh “Ontology development using Hozo and Semantic analysis for information retrieval in Semantic Web “ Image Information Processing (ICIIP), 2013 IEEE Second International Conference on 9-11 Dec. 2013 Page(s): 113 - 118 .
[25] Z Yun, S Huayou, Q Hengnian “A Semantic Web Services discovery mechanism design and implementation based on OWL Ontology “ Educational and Network Technology (ICENT), 2010 International Conference on 25-27 June 2010 Page(s): 139 - 143.
[26] Myint Myint Thein , Soe Lai Phyue , Mie Mie Su Thw,” Semantic Web Information Retrieval in XML by mapping to RDF schema “ Published in Networking and Information Technology (ICNIT), 2010 International Conference on 11-12 June 2010 Page(s): 500 - 503.
[27]T Bhatia – IJCST “ Link Analysis Algorithms For Web Mining” IJCT  vol 2 issue 2 June 2011
 [28]G Kumar, N Duhan, AK Sharma  “Page ranking based on a number of visits of links of Web page “ Computer and Communication Technology (ICCCT), 2011 2nd International Conference on 15-17 Sept. 2011 Page(s): 11 - 14 .
[29]J.R.G. Pulido a, M.A.G. Ruiz b, R. Herrera c, E. Cabello d, S. Legrand e, D. Elliman Ontology languages for the semantic web: A never completely updated review 0950-7051/$ - see front matter © 2006 Elsevier B.V.
[30]. B.ASWINI, B.RANJITH,” Robust Model-Based Data Management”, International Journal of Computer Engineering in Research Trends, Volume 1, December 2014, pp 453-460. 

[1] J. Flinn and M. Satyanarayanan, “Managing battery lifetime with energy-aware adaptation,” ACM Trans. Comput. Syst., pp. 137–179, May 2004.
[2] Virendrakumar Dhotre , Namdev Sawant , Pallavi Pawar, Rajshree Salgar  , Gitanjalee Hulwan,” Automatic Bus Enquiry System using Android”,International Journal of Computer Engineering In Research Trends, pp. 123-127, April-2017.
[3] J. Sorber, N. Banerjee, M. D. Corner, and S. Rollins, “Turducken: Hierarchical power management for mobile devices,” in Proc.ACM 3rd Int. Conf. Mobile Syst., Appl., Serv., 2005, pp. 261–274.
[4] M. Dong and L. Zhong, “Chameleon: A color-adaptive web browser for mobile OLED displays,” in Proc. ACM 9th Int. Conf. Mobile Syst., Appl., Serv., 2011, pp. 85–98.
[5] E. Shih, P. Bahl, and M. J. Sinclair, “Wake on Wireless: An event-driven energy saving strategy for battery operated devices,” in Proc. ACM 8th Annu. Int. Conf. Mobile Comput. Netw., 2002,pp. 160–171.
[6] F. R. Dogar, P. Steenkiste, and K. Papagiannaki, “Catnap: Exploiting high bandwidth wireless interfaces to save energy for mobile devices,” in Proc. ACM 8th Int. Conf. Mobile Syst., Appl., Serv., 2010, pp. 107–122.
[7] E. Rozner, V. Navda, R. Ramjee, and S. Rayanchu, “NAPman: network-assisted power management for wifi devices,” in Proc. ACM 8th Int. Conf. Mobile Syst., Appl., Serv., 2010, pp. 91–106.
[8] H. Zhu and G. Cao, “On supporting power-efficient streaming applications in wireless environments,” IEEE Trans. Mobile Comput., vol. 4, no. 4, pp. 391–403, Jul. 2005.
 [9] W. Hu, G. Cao, S. V. Krishanamurthy, and P. Mohapatra, “Mobility-assisted energy-aware user contact detection in mobile social networks,” in Proc. IEEE 33rd Int. Conf. Distrib. Comput Syst., 2013, pp. 155–164.
[10] A. Schulman, V. Navda, R. Ramjee, N. Spring, P. Deshpande, C. Grunewald, K. Jain, and V. N. Padmanabhan, “Bartendr: a practical approach to energy-aware cellular data scheduling,” in Proc. ACM 16th Annu. Int. Conf. Mobile Comput. Netw., 2010, pp. 85–96.
[11] A. J. Pyles, Z. Ren, G. Zhou, and X. Liu, “SiFii: Exploiting VoIP silence for WiFi energy savings insmart phones,” in Proc. ACM 13th Int. Conf. Ubiquitous Comput., 2011, pp. 325–334.
 [12] F. Qian, K. S. Quah, J. Huang, J. Erman, A. Gerber, Z. Mao, S. Sen, and O. Spatscheck, “Web caching on smartphones: Ideal vs. reality,” in Proc. ACM 10th Int. Conf. Mobile Syst., Appl., Services, 2012, pp. 127–140.
[13] B. Zhao, B. C. Tak, and G. Cao, “Reducing the delay and power consumption of web browsing on smartphones in 3G networks,” in Proc. IEEE 31st Int. Conf. Distrib. Comput. Syst., 2011, pp. 413– 422.
[14] N. Balasubramanian, A. Balasubramanian, and A. Venkataramani, “Energy consumption in mobile phones: A measurement study and implications for network applications,” in Proc. ACM 9th SIGCOMM Conf. Internet Meas. Conf., 2009, pp. 280–293.
[15] Configuration of Fast Dormancy, Std., Rev. Rel. 8, 2010. [Online]. Available: http://www.3gpp.org
[16] (2011) webkit’s speculative parsing, [Online]. Available: http://gent.ilcore.com/2011/01/webkitr.html
[17] (2012) Google SPDY, [Online]. Available: http://en.wikipedia.org/wiki/SPDY
[18] K. Zhang, L. Wang, A. Pan, and B. B. Zhu, “Smart caching for web browsers,” in Proc. 19th Int. World-Wide Web Conf., 2010, pp. 491–500.
[19] W. Hu and G. Cao, “Energy optimization through traffic aggregation in wireless networks,” in Proc. IEEE 33rd Annu. Int. Conf. Comput. Comm., 2014, pp. 916–924.

1	Aisha Jilani et. al., “Controlling Speed of DC Motor with Fuzzy Controller in Comparison with ANFIS Controller”, Intelligent Control and Automation, 6, February 2015, pp. 64-47.

2	Rekha kushwah & Sulochana Wadhwani, “ Speed Control of Separately Excited Dc Motor Using Fuzzy Logic Controller”, International Journal of Engineering Trends and Technology (IJETT), Vol. 4, Issue 6, June 2013, pp. 2518-2523.

3	Md Akram Ahmad, et. al., “Speed control of a DC motor using Controllers”, Automation, Control and Intelligent Systems, 20, November, 2014; 2(6-1), pp. 1-9.

4	 AA Bature, et. al., “Design And Real Time Implementation Of Fuzzy Controller For DC Motor Position Control”, INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH Vol.2, Issue 11, November, 2013, pp. 254-256.

5	Ravinder Kumar $ Vineet Girdhar, “ High Performance Fuzzy Adaptive Control for D.C. Motor”,  International Archive of Applied Sciences and Technology
IAAST; Vol 3 [3], Society of Education, India, September 2012, pp. 1- 10.

6	Ahmed El-Bakly, et. al., “ A Proposed DC Motor Sliding Mode Position Controller Design using Fuzzy Logic and PID Techniques” , 13th International Conference on AEROSPACE SCIENCES & AVIATION TECHNOLOGY, Military Technical College, Kobry Elkobbah, Cairo, Egypt, May 26 – 28, 2009, pp. 1-9.

7	Nirmala Ashok Dange & Ashwini Pawar, “ Position Control of Servo Motor Using Fuzzy Logic Controller”, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol. 5, Issue 6, June, 2016, pp. 5541- 5552.

8	SALIM, JYOTI OHRI, “FUZZY Based PID Controller for Speed Control of D.C. Motor Using LabVIEW” Vol. 10, 2015, pp. 154-159.

9	Umesh Kumar Bansal $ Rakesh Narvey, “Speed Control of DC Motor Using Fuzzy PID Controller”, Advance in Electronic and Electric Engineering, Vol. 3, No. 9,  Research India Publications, 2013, pp. 1209-1220.

10	 Miss. Vaishali Munde  & Prof. Mrs. V. S. Jape, “ Fuzzy Logic For Controlling Speed Of DC Motor”, The International Journal Of Engineering And Science (IJES), Vol. 2, Issue 5, 2013, pp. 33-39.

1 D. Saranya et.al, "Load Balancing Algorithms in Cloud Computing: A Review," International Journal of Advanced Research in Computer Science and Software Engineering, vol. 5, Issue 7, July 2015.
2 S. Sethi et.al, "Efficient Load Balancing in Cloud Computing using Fuzzy Logic," IOSR Journal of Engineering (IOSRJEN) ISSN: 2250-3021 vol. 2, pp. 65-71, July 2012.
3 T. Desai et.al, "A Survey of Various Load Balancing Techniques and Challenges in Cloud Computing," International Journal of Scientific & Technology Research, vol. 2, Issue 11, November 2013.
4 S. Rajoriya et.al, "Load Balancing Techniques in Cloud Computing: An Overview," International Journal of Science and Research (IJSR), vol. 3, Issue 7, July 2014
5 Sharma S. et.al, “Performance Analysis of Load Balancing Algorithms,” World Academy of Science, Engineering and Technology, 38, 2008.
6 Gross D. et.al, “Noncooperative load balancing in distributed systems”, Elsevier, Journal of Parallel and Distributed Computing, No. 65, pp. 1022-1034, 2005.
7 Nikravan M. et.al, “A Genetic Algorithm for Process Scheduling in Distributed Operating Systems Considering Load Balancing”, Proceedings 21st European Conference on Modelling and Simulation (ECMS), 2007.
8 M. Amar et.al, “SLA Driven Load Balancing for Web Applications in Cloud Computing Environment”, Information and Knowledge Management, 1(1), pp. 5-13, 2011.
9 Ekta Gupta et.al, “A Technique Based on Ant Colony Optimization for Load Balancing in Cloud Data Center”, 13th International Conference on Information Technology, 2014 IEEE.
10 M. Katyal et.al, “A Comparative Study of Load Balancing Algorithms in Cloud Computing Environment”, International Journal of Distributed and Cloud Computing Volume 1 Issue 2 December 2013 
11 S. Khan et.al, “Effective Scheduling Algorithm for Load Balancing using Ant Colony Optimization in Cloud Computing”, International Journal of Advanced Research in Computer Science and Software Engineering, Volume 4, Issue 2, February 2014..
12 Kun Li et.al, “Cloud Task scheduling based on Load Balancing Ant Colony Optimization”, 2011 Sixth Annual ChinaGrid Conference, 2011 IEEE.
13 D. Kashyap et.al, “A Survey Of Various Load BalancingAlgorithms In Cloud Computing”, INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH VOLUME 3, ISSUE 11, NOVEMBER 2014. 
14 Book: Ant colony optimization by Macro Dorigo and Thomas Stutzle.
15 R. Rastogi et.al, "Load Balancing of Nodes in Cloud Using Ant Colony Optimization." Proceedings of the 14th International Conference on Computer Modelling and Simulation (UKSim), March 2012, IEEE, pp: 3-8.
16 Calheiros, R.N.; Ranjan, R.; Beloglazov, A.; de Rose, C.A.F.; Buyya, R. CloudSim: A toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms. Software 2011, 41, 23–50.
17. T.Deepa, & S Sharon Amulya Joshi. (2016). A Survey on Load Balancing Algorithms in Cloud.
International Journal of Computer Engineering In Research Trends, 3(7), 371-374. Retrieved from http://ijcert.org/ems/ijcert_papers/3703.pdf

1.	Hong Liu, Student Member, IEEE, Huansheng Ning, Senior Member, IEEE, Qingxu Xiong, Member,IEEE, and Laurence T. Yang, Member, IEEE2014, “Shared Authority Based Privacy-preserving Authentication Protocol in Cloud Computing.”
2.	Adleman, L., “A subexponential algorithm for the discrete logarithm problem with application to cryptography”, Proc. 20th IEEE Found. Comp. Sci. Symp., 1979, 55-60. 
3.	Ganeshan R. et.al, “Performance analysis of Hyper-Elliptic Curve Cryptosystems over Finite Fields Fp for Genus 2 & 4”, IJCSNS Vol. 8 No. 12, Dec 2008
4.	“The Notorious Nine - Cloud Computing Top Threats in 2013,” https://downloads.cloudsecurityalliance.org/initiatives/top_threats“Panda: Public Auditing for Shared Data with Efficient User Revocation in the Cloud,” IEEE Transactions on Services Computing, VOL. X, NO. X, XXXX 2014, accepted.
5.	Jin Li, Yan Kit Li, Xiaofeng Chen, Patrick P. C. Lee, Wenjing Lou, “A Hybrid Cloud Approach for Secure Authorized Deduplication”, IEEE Transactions on Parallel and Distributed Systems, 2014.
6.	Lluis Pamies-Juarez, Pedro Garcia-Lopez, Marc Sanchez-Artigas, Blas Herrera, “Towards the Design of Optimal Data Redundancy Schemes for Heterogeneous Cloud Storage Infrastructures” ,” Computer Networks, Vol.55, 1100-1113, 2011.
7.	Deyan Chen, Hong Zhao, “Data Security and Privacy Protection Issues in Cloud Computing”, International Conference on Computer Science and Electronics Engineering 2012.
8.	K. Ren, C. Wang, and Q. Wang, “Security Challenges for the Public Cloud,” IEEE Internet Computing, vol. 16, no. 1, pp. 69–73,2012.
9.	Qian Wang, Cong Wang, Kui Ren, Wenjing Lou, Jin Li, ”Enabling Public Auditability and Data Dynamics for Storage Security in Cloud Computing”, Proc. IEEE transactions on parallel and distributed systems, vol. 22, no. 5, may 2011 .
10.	OASIS: Assertions and Protocol for the OASIS Security Assertion Markup Language (SAML) V2.0. OASIS Standard (2005) 
11.	Benjain Ertl, "Identity Harmonization for Federated HPC, Grid and Cloud Services", IEEE, pp. 621-627, 2016.
12.	Jaweher Zouari, "An Identity as a service framework for the cloud", IEEE, pp. 1-5, 2016.
13.	Yong Yu, "Identity based Remote Data Integrity hacking with perfect data privacy preserving for cloud storage", IEEE, pp. 1-11, 2016.

and space craft propulsion by
Martin J.L.Turner, states the information
about the above parameters1.
Trajectory Optimization for Target
Localization,Sameera S. Ponda
A simplified ascent trajectory optimization
procedure has been developed with
application of Ares I launch vehicle2.
Direct Trajectory Optimization by a
ChebyshevPseudospectral Method, journal
ofguidance, control, and dynamics Vol. 25,
No. 1, January–February 20023.
Fahroo, F., and Ross, I. M., “Costate
Estimation by a Legendre Pseudospectral
Method,” Journal of Guidance, Control, and
Dynamics, Vol. 24,No. 2, 2001, pp. 270–277.
Survey of Numerical Methods for
Trajectory Optimizationby John T. Betts
journal of guidance, control, and dynamics,
Vol. 21, No. 2, March–April 1998.
A chebyshev polynomial method for
optimal control with state
constraints,jacquesvlassenbroeckt,automatic
a, vol. 24, no. 4, pp. 499-506, 19884.
Space trajectory optimization and l1-
optimalcontrol problems, michael ross,
modern astrodynamics, pp. 155-
188,elsevierastrodynamics series, 20065.
A genetic algorithm approach to solving
optimal control problems with linearly
appearingcontrolsh. Seywaldr.r.kumarts.m.
deshpande,aiaa

[1]	B. Raja Rao, Dr. E.V.V. Krishna Rao et al., “Finger Print Parameter based Cryptographic Key Generation”, International Journal of Engineering Research and Applications (IJERA), Vol. 2, Issue 6, Nov – Dec, 2012, pp. 1598 – 1604.
[2]	Dr. G. Rajkumar, Dr. K. Parimala and Mrs. A. Ruba, “An Innovative Approach to Genetic Algorithm based Cryptography”, International Jouranl of Computer Science, Vol. 5, Issue 1, No 9, 2017,  Page No. 1199 – 1202.
[3]	N. Ratha and J. Connell et al. Cancelable biometrics: A case study in fingerprints. Intl. Conf. on Pattern Recognition, page 370C373, 2006 
[4]	N. Ratha, J. Connell, and R. Bolle. Enhancing security and privacy in biometrics-based authentication systems. IBM Systems Journal, 40(3):614C634, 2001. 
[5]	Nanavati, S. Thieme, M. and Nanavati, R. Biometrics: Identity Verification in a Networked World. Wiley Computer Publishing, New York, 2002 
[6]	Saad Abuguba, Milan M. Milosavljevic, and Nemanja Macek, “An Efficient Approach to Generating Cryptographic keys from the face and Iris Biometrics fused at the feature level,” International Journal of Computer Science and Network Security, Vol. 15, No. 6, June 2015.
[7]	Sanjukta Pal, Sucharita Pal, Dr. Pranam Paul “Fingerprint Geometry matching by Divide and Conquer Strategy” accepted and published in International Journal of Advanced Research in Computer Science(IJARCS), ISSN No. 0976-5697, Volume 4, No. 4, March-April 2013.
[8]	T. Connie, A. Teoh, M. Goh, and D. Ngo, “ Palm hashing: A novel approach for cancellable biometrics," Information processing letters, vol. 93, no. 1, pp. 1-5, 2005
[9]	Cryptography and Network Security Principles and Practices by William Stalling, Prentice Hall, 2005.
[10]	M.Sathya, & Dr.K.Thangadurai. (2017). Implementation of Optimization Using Eclat and PSO for Efficient Association Rule Mining. International Journal of Computer Engineering In Research Trends, 4(1), 4-8. Retrieved from http://ijcert.org/ems/ijcert_papers/V4I0102.pdf.

1)	 Efthymios Kouloumpis. Theresa Wilson, Johanna Moore “Twitter Sentiment Analysis: The Good the Bad and the OMG!” In the Proceedings of Fifth International AAAI Conference on Weblogs and Social Media ,2011.
2)	Thelwall, M., Buckley, K., Paltoglou, G., Cai, D., & Kappas, “A Sentiment strength detection in short text”, Journal of the American Society for Information Science and Technology, 61(12), 2544–2558, 2010
3)	https://apps.twitter.com/app/13647643, Date accessed:12/04/2017
4)	https://about.twitter.com/company,Date  accessed:12/04/2017
5)	http://blog.revolutionanalytics.com/2017/01/cran-10000.html
6)	Yu.H and Hatzivassiloglou.V “Towards answering opinion questions: separating facts from opinions and identifying the polarity of opinion sentences” In the Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP-03),NOV 2003.
7)	M De Choudhury, YR Lin, H Sundaram, KS Candan, L Xie, A Kelliher  “Authoritative Sources in a Hyperlinked Environment” International AAAI Conference on Weblogs and Social Media 2010, ed. Conference Program Committee, AAAI Press, New York., MAY 2010, pp-34-41.
8)	 Hu, M., & Liu, B. (2004). Mining opinion features in customer reviews. National Conference on Artificial Intelligence.
9)	https://lagunita.stanford.edu/c4x/Engineering/CS-224N/asset/slp4.pdf, Date accessed:21/04/2017
10)	Jockers, M. L. (2017). Syuzhet: Extract sentiment and plot arcs from text. Retrieved from  https://github.com/mjockers/syuzhet.
11)	Sunil B. Mane, Kruti Assar, Priyanka Sawant, & Monika Shinde. (2017). Product Rating using Opinion Mining. International Journal of Computer Engineering in Research Trends, 4(5), 161-168. Retrieved from http://ijcert.org/ems/ijcert_papers/V4I503.pdf. 

  J.J.R. Upadhyaya, Administrative Law, 27 (2004).  
  I.P.Massy, Administrative Law, 20 (1998). 
  Upadhyaya, Supra note 1 at 27.
  Available at www.lexisnexis.co.uk accessed on October 27, 2016.
  Ram Prasaed Narayan Sahi v. State of Bihar, AIR 1953 SC 215 at 217.
  Available at plato.stanford.edu accessed on October 27, 2016.
  Upadhyaya, Supra note 1 at 27.
 Quoted in Jagdish Swarup, L. M. Singhvi, Constitution of India-II, 236-237(2006).
  Massy, Supra note 2 at 20.
  Jagdish Swarup, L. M. Singhvi, Supra note 8 at 236.
  Upadhyaya, Supra note 1 at 27.
  U.P.D. Kesari, Lectures on Administrative Law, 24 (14th Ed).
  M.P.Jain, Indian Constitutional Law, 6 (2006). 
  Upadhyaya, supra note 1 at 29-30.
  I.P.Massy, Administrative Law, 2 (1999). 
  (1976) 2 SCC 521.
  A.I.R. 1970 SC 150
  H.W.R. Wade, Administrative Law, 25-26 (1977).
  Upadhyaya, Supra note 1 at 30.
  (1990) 2 SCC 653 at 658-59.
  AIR 1988 SC 1768 at 1769.
  AIR 1982 SC 1325.
  AIR 1987 SC 579.
  1999 SCC (cri) 577.
  AIR 1975 SC 2299.

  	H.K. Saharay (Ed.), M. Monir’s Law of Evidence, volume 2, 1863 (2006).
  	C.D. Field’s (Revised by Gopats Chaturvedi), C.D. Field’s Law of Evidence in India, Pakistan, Bangladesh, Burma, Ceylon, Malaysia and Singapore, vol. 5 at 4249 (12th Edition, 2007).
  	Batuk Lal, The Law Of Evidence, 375 (2004).
  	(1851) 1 SIM (N.3.) 205 at 207 quoted in Denis Browne, Ashburner’s Principles of Equity, 445 (1933).
  	H.W.R. Wade, Administrative law, 64 (1988). 
  	Cited from Sharma Transport v. Govt. of A.P., (2002) 2 SCC 188 at 201.
  	Available at: http://www.cili.in/article/viewFile/1544/1130 accessed on February 16, 2009.

  	1880 ILR 5 Cal 669.
  	1905 ILR 29 Bom 580; (1904) 29 Bom 580.
  	Available at: https://indiankanoon.org/doc/1880129/ accessed on May 2, 2016.
  	AIR 1968 SC 718. 
  	Id. at 718.
  	AIR 1954 Cal 151.
  	Id. at 156.
  	Hira Industries Ltd. v. State of C.G. and Ors., AIR 2007 Chh 7 at 17.
  	(1969) 1 All ER 904.
  	Available at: http://www.supremeCourtofindia.nic.in/speeches/speeches_2009/Jud cial_Review_of_Administrative_Action at 8 accessed on August 24, 2009. 
  	C.F. Forsyth, “The Provenance and Protection of Legitimate Expectations”, The Cambridge Law Journal, vol. 47, No. 2, 238-260 at 238 (July, 1988). 
  	Bugalo Maripe, “Legitimate Expectations and the Right to a Hearing: Lessons from the George Arbi Case”, Journal of African Law, vol. 42, No. 1 94-100 at 97 (1998).
  	Civil Appeal No. 15/93 (unreported). 
  	Bugalo Maripe, supra note 80 at 96-97.
  	(1985) AC 375: (1985) AC 374 (408-409).
  	(1990) 170 CLR 1.
  	M.A. Ikhariale, “The Doctrine of Legitimate Expectations: Prospects and Problems in Constitutional Litigation in South Africa”, Journal of African Law, vol. 45, No. 1, 1-12 at 4 (2001).
.
  	Available at: https://www.quora.com/What-are-the-similarities-and-differences between-the-doctrine-of-legitimate-expectation-and-the-doctrine-of estoppel accessed on November 18, 2015.
  	R (Bibi) v. Newham, LBC (2002) 1 WLR 237 at 55 available at supra note 4 at 6.
  	Councils of Civil Service Unions v. Minister for Civil Services, (1984) 3 All ER 935 cited from   Navjyoti Co-Group Housing Society v. Union of India, AIR 1993 SC 155 at 165.
  	AIR 1993 SC 155. 
  	Id. at 155.
  	Haoucher v. Min., (1991) L.R.C. (Const.) 819 (836’) – Australia quoted in Durga Das Basu, Constitutional Remedies and Writs, 367 (1994).
  	Official Liquidator v. Dayanand, (2008) 10 SCC 1 at 66.
  	MANU/SC/0392/2003.
  	MANU /SC/0219/1994.
  	Supra note 31.
  	Id. at 223. 
  	AIR 1999 SC 1801.
  	Id. at 1801-1802.
  	(1979) 2 SCC 409.
  	Id. at 452.
  	(1998) 2 SCC 502.
  	Id. at 509.

1)	GST to hit consumers, unorganized jobs. The Tribune, 2016.
2)	M. Economics.com
3)	Indian Express.com>business>Economy
4)	www.relakhs.com
5)	www.mapsofindia.com
6)	http://en.m.wikipedia.org

1.	Zhihua Xia, Xinhui Wang, Liangao Zhang, Zhan Qin, Xingming Sun, Kui Ren, “A Privacy-preserving and Copy-deterrence Content-based Image Retrieval Scheme in Cloud Computing” IEEE TRANSCATION ON INFORMATION FORENSIC AND SECURITY, VOL.11, NO. 11, NOVEMBER 2016.

2.	B. Ferreira, J. Rodrigues, J. Leit˜ao, and H. Domingos, “Privacypreserving content-based image retrieval in the cloud,” arXiv preprint arXiv:1411.4862, 2014.

3.	A. Rial, M. Deng, T. Bianchi, A. Piva, and B. Preneel, “A provably secure anonymous buyer–seller watermarking protocol,” Information Forensics and Security, IEEE Transactions on, vol. 5, no. 4, pp. 920– 931, 2010.

4.	Carson, C., Thomas, M., Belongie, S.,   Hellerstein, J. M. and Malik, J. 1999. Blobworld: A system for region-based image indexing and retrieval. In Proceedings of the Third International Conference on Visual Information and Information Systems, Springer-Verlag, London, UK. 509-516. 
5.	C. Wang, K. Ren, S. Yu, and K. M. R. Urs, “Achieving usable and privacy-assured similarity search over outsourced cloud data,” in Proc. of INFOCOM. IEEE, 2012, pp. 451–459.

6.	D. Boneh, G. Di Crescenzo, R. Ostrovsky, and G. Persiano, “Public key encryption with keyword search,” in Advances in Cryptology-Eurocrypt. Springer, 2004, pp. 506–522.

7.	S. Anto, S. Chandramathi,” An Expert System based on SVM and Hybrid GA-SA Optimization for Hepatitis Diagnosis,”, International Journal of Computer Engineering In Research Trends, 2(7):437-443, 2015.

8.	F. Long, H. J. Zhang, and D. D. Feng, "Fundamentals of Content-based Image Retrieval," in Multimedia Information Retrieval and Management, D. Feng Eds,Springer, 2003.

9.	Shivangi Jindal, Harkiran Kaur, “Intensification of Resolution in the Realm of
Digital Imaging,” International Journal of Computer Engineering In Research Trends, 3(6):343-346,2016.
10.	J. C. Bezdek, “Pattern Recognition with Fuzzy Objective Function Algorithms”, New York: Plenum Press, 1981. 

11.	Ma, W. and Manjunath, B.S. (1999) NeTra: a toolbox for navigating large image databases. Multimedia Systems, Springer-Verlag, Berlin, Germany. 7(3), 184-198. 

12.	Nbhan D. Salih , David Chek Ling Ngo, “ A novel method for shape representation,”  GVIP 05 Conference, 19-21 December 2005.

13.	Ravichandran K. and Ananthi B., “Color Skin Segmentation Using K-Means Cluster,  ” International Journal of Computational and Applied Mathematics, vol.4, no.2, pp. 153-157 , 2009.

14.	Rui, Y., Huang, T. S. and Mehrotra, S. 1997. Content-based image retrieval with relevance feedback in MARS. In Proceedings of International Conference on Image Processing. 2, 815-818. 

15.	S. Lian, Z. Liu, R. Zhen, and H. Wang, “Commutative watermarking and encryption for media data,” Optical Engineering, vol. 45, no. 8, pp. 080 510–080 510, 2006.

16.	W. Sun, B. Wang, N. Cao, M. Li, W. Lou, Y. T. Hou, and H. Li, “Privacypreserving multi-keyword text search in the cloud supporting similaritybased ranking,” in Proc. of 8th ACM SIGSAC symposium on Information, computer and communications security.
17.	Y. Ren, J. Shen, J. Wang, J. Han, and S. Lee, “Mutual verifiable provable   data auditing in public cloud storage,” Journal of Internet Technology, vol. 16, no. 2, pp. 317–323, 2015.

18.	Z. Fu, K. Ren, J. Shu, X. Sun, and F. Huang, “Enabling personalized search over encrypted outsourced data with efficiency improvement,” IEEE Transactions on Parallel & Distributed Systems, vol. PP, no. Online, pp. 1–1, 2015.

[1]	Internet World Stats survey  report available at - << http://www.internetworldstats.com/stats.htm >>.
[2]	Pew Research center’s Internet and American Life Project Survey  report available at  - << http://www.pewinternet.org/2012/03/09/main-findings-11/ >>.
[3]	Average Traffic a website receives from a Search Engine is << http://moz.com/community/q/what-is-the-average-percentage-of-traffic-from-search-engines-that-a-website-receives >>
[4]	Size of World Wide Web is available at  << http://www.worldwidewebsize.com/ >>
[5]	Carlos Castillo, Mauricio Marin, Andrea Rodrigue and Ricardo Baeza-Yates, “Scheduling Algorithms for Web Crawling” Proceedings of the Web Media & LA-Web 2004, 0-7695-2237-8 ©2004 IEEE, Pages 10-17.
[6]	S. Lawrence and C. L. Giles. Searching the World Wide Web. Science, 280 (5360) : 98–100, 1998.
[7]	Introduction to Web Crawler is available at - << http://en.wikipedia.org/wiki/Web_crawler >>
[8]	Introduction to Web Crawler is available at - << http://searchsoa.techtarget.com/definition/crawler >>
[9]	Amit Chawla and Rupali Ahuja, “Crawling the Web : Discovery and Maintenance of Large-Scale Web Data”, International Journal of Advances in Engineering Science (IJAES), ISSN: 2231- 0347, Volume-3, Pages 62-66, July 2013.
[10]	Sachin Gupta, Sashi Tarun and Pankaj Sharma, “Controlling access of Bots and Spamming Bots”, International Journal of Computer and Electronics Research (IJCER), ISSN: 2278-5795, vol. 3,issue 2, April 2014.
[11]	Sonal Tuteja, “Enhancement in Weighted PageRank Algorithm Using VOL”, IOSR Journal of Computer Engineering (IOSR-JCE), ISSN: 2278-0661, vol. 2, issue 6, pp. 135-141, Sept-Oct 2013.
[12]	Shweta Agarwal and Bharat Bhushan Agarwal, “An Improvement on Page Ranking Based on Visits of Links”, International Journal of Science and Research (IJSR), ISSN: 2319-7064, vol. 2, issue 6, pp. 265-268, June 2013.
[13]	S. Brin, and Page L., “The Anatomy of a Large Scale Hypertextual Web Search Engine”, Computer Network and ISDN Systems, vol. 30, issue 1-7, pp. 107-117, 1998. 
[14]	Wenpu Xing and Ali Ghorbani, “Weighted PageRank Algorithm”, Proceedings of the Second Annual Conference on Communication Networks and Services Research (CNSR ’04), IEEE, 2004.
[15]	Gyanendra Kumar, Neelam Duahn, and Sharma A. K., “Page Ranking Based on Number of Visits of Web Pages”, International Conference on Computer & Communication Technology (ICCCT)-2011, 978-1-4577-1385-9. 
[16]	Neelam Tyagi and Simple Sharma, “Weighted Page Rank Algorithm Based on Number of Visits of Links of Web Page”, International Journal of Soft Computing and Engineering (IJSCE), ISSN: 2231-2307, vol. 2, issue 3, pp. 441–446, July 2012.
[17]	Animesh Tripathy and Prashanta K Patra, “A Web Mining Architectural Model of Distributed Crawler for Internet Searches Using PageRank Algorithm”, Asia-Pacific Services Computing Conference, 978-0-7695-3473-2/08 © 2008 IEEE, Pages 513-518.
[18]	Lay-Ki Soon, Yee-Ern Ku  and Sang Ho Lee, “Web Crawler with URL Signature – A Performance Study”, 4th Conference on Data Mining and Optimization (DMO) 978-1-4673-2718-3/12 ©2012 IEEE,  Pages 127-130.
[19]	Farha R. Qureshi and Amer Ahmed Khan, “URL Signature with body text normalization in a web crawler”, International Journal of Societal Applications of Computer Science (IJSACS), ISSN 2319 – 8443, vol. 2, issue 3, Pages 309-312, March 2013.
[20]	Saurabh Pakhidde , Jaya Rajurkar and Prashant Dahiwale,  “Content Relevance Prediction Algorithm in Web Crawlers to Enhance Web Search”, International Journal of Advanced Research in Computer Engineering & Technology (IJARCET), ISSN: 2278 – 1323, vol 3, issue 3, March 2014.
[21]	Prashant Dahiwale, Pritam Bhowmik, Tejaswini Bhorkar and Shraddha Shahare, “Rank Crawler : A Web Crawler with Relevance Prediction Mechanism for True Web Analysis”, International Journal of Advance Foundation and Research in Computer (IJAFRC), ISSN: 2348-4853, vol. 1,issue 4, April 2014.
[22]	Information on HTTP_Referer is available at - << http://en.wikipedia.org/wiki/HTTP_referer >>.
[23]	Information on Url Normalization is available at - << http://en.wikipedia.org/wiki/Url_normalization >>.
[24]	Information on MD5 Hashing Algorithm is available at - << http://en.wikipedia.org/wiki/MD5 >>.
[25]	Introduction to WHOIS is available at - << http://en.wikipedia.org/wiki/Whois >>.
[26]	Sachin Gupta and Pallvi Mahajan, “Improvement in Weighted Page Rank based on Visits of Links (VOL) Algorithm”, International Journal of Computer and Communications Engineering Research (IJCCER), ISSN: 2321-4198, Vol. 2, Issue 3, Pages 119-124, May 2014.
[27]	Sachin Gupta and Sashi Tarun, “Extended Architecture of Web Crawler”, International Journal Of Computer & Electronics Research (IJCER), ISSN: 2278-5795, Vol. 3, Issue 3, Pages 147-169, June 2014.
[28]	Isha Mahajan, Harjinder Kaur and Dr. Darshan Kumar, “Extended Weighted Page Rank based on VOL by finding User Activities Time and Page Reading Time”, International Journal of Engineering Works (IJEW), ISSN: 2409-2770, Vol. 7, Issue 2, Pages 41-48, Feb 2017.
[29]	Introduction to Code Minification is available at - << https://developers.google.com/speed/docs/insights/MinifyResources >>.
[30]	Javascript Code Minification Api is available at - << https://javascript-minifier.com/ >>.
[31]	Introduction to Cron Jobs is available at - << https://code.tutsplus.com/tutorials/scheduling-tasks-with-cron-jobs--net-8800 >>.
[32]	Domain age calculating Api is available at - << https://github.com/99webtools/PHP-Domain-Age >>.
[33]	Mubasheera Tazeen, Shasikala.Ch, Dr.S.Prem Kumar,” Ontology Based PMSE with Manifold Preference”, International Journal of Computer Engineering In Research Trends (IJCERT),ISSN:2349-7084,Vol 1,Issue 1,Pages 15-21,July 2014.
[34]	Sachin Desale, Akhtar Rasool, Sushil Andhale, Priti Rane,” Heuristic and Meta-Heuristic Algorithms and Their Relevance to the Real World: A Survey”, International Journal of Computer Engineering In Research Trends (IJCERT),ISSN:2349-7084,Vol  2,Issue  5,Pages 296-304,May  2015.

1. Varsha B.Bobade, “Survey Paper on Big Data and Hadoop”, International Research Journal of Engineering and Technology (IRJET) , Volume: 03 Issue: 01 | Jan-2016, e-ISSN: 2395-0056  p-ISSN: 2395-0072.

2. S. Justin Samuel, Koundinya RVP, Kotha Sashidhar and C.R. Bharathi,  “A SURVEY ON BIG DATA AND ITS RESEARCH CHALLENGES”, VOL. 10, NO. 8, MAY 2015 ISSN 1819-6608, ARPN Journal of Engineering and Applied Sciences.

3.Ms. Vibhavari Chavan, Prof. Rajesh. N. Pursue “Survey Paper On Big Data”, Vibhavari 
Chavan et al, / (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 5 (6) , 2014, 7932-7939.

4. Ankush Verma ,Ashik Hussain Mansuri ,Dr. Neelesh Jain “Big Data Management Processing with Hadoop MapReduce and Spark Technology: A Comparison” 2016 Symposium on Colossal Data Analysis and Networking (CDAN) , 978-1- 5090-0669-4/16/$31.00 © 2016 IEEE. 

5. Wei Huang, Lingkui Meng, Dongying Zhang, and Wen Zhang, “In-Memory Parallel Processing of Massive Remotely Sensed Data Using an Apache Spark on Hadoop YARN Model” , IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, VOL. 10, NO. 1, DECEMBER 2016.

6. Katarina Grolinger, Michael Hayes, Wilson A. Higashino, Alexandra L'Heureux1 David S.Allison ,Miriam A.M. Capretz, “Challenges for MapReduce in Big Data ”, 978-1- 4799-5069-0/14 $31.00©2014IEEEDOI10.1109/SERVICES.2014.4.

7. Xiuqin LIN, Peng WANG, Bin WU, “LOG ANALYSIS IN CLOUD COMPUTING ENVIRONMENT WITH HADOOP AND SPARK”, 978-1-4799-0094-7/13/$31.00©2013

8. K..Naga Maha Lakshmi et al., International Journal of Computer Engineering In Research Trends ,Volume 3, Issue 3, March-2016, pp. 134-142.

9. Sunil B. Mane et.al, “Product Rating using Opinion Mining”, International Journal of Computer Engineering In Research Trends, 4(5):161-168 ,May -2017.

1)	A.K. Amiruddin, S.M. Sapuan and A.A. Jaafar “Development of a hovercraft prototype with an aluminum hull base”, International Journal of the Physics Sciences vol.6(17), pp.4185-4194, 2 September 2011
2)	Grant Wagner, Michael Butler, Derek Smith, Kyle Palmer, “Design and fabrication of a model hovercraft”, Final Report, Rose – Hulman Institute of Technology, Terre Haute, Indiana, 2 July 2008.
3)	C. Fitzergerald and R. Wilson, “Light Hovercraft Design”, 3rd Hoverclub of America Inc, 1995, 37-38.
4)	Grant Wagner “Universal Hovercraft, The World Leader in Hovercraft
5)	Introduction to RC Modeling -Module 4 Make a Hovercraft
6)	Kofi Anguah, Nick Szapiro “Design and construction of a Passenger Hovercraft”, E90 Final Report, 05/08/2009
7)	S.V. Uma Maheswara Rao, V.S. Surya Prakash (Professor, M.E Student, Department of Marine Engineering, AUCE (A), Visakhapatnam-5300003) Development of An Integrated Air Cushioned Vehicle (Hovercraft), International Journal of Modern Engineering Research (IJMER), 4(5),2014, 21.
8)	Edwin Chan Hanjiang, “Design of a working Model Hovercraft”, University Malaysia Pahang.
9)	S.H. Mohamed Noor, K.Syam, A.A Jaafar, M.F.Mohamad Sharif, IOP Publishing, Proceedings of i-MEC-APCOMS 2015.

[1]  Federal Communications Commission (FCC), Revision of Part 15 of the Commission’s Rules Regarding Ultra-Wideband Transmission Systems, First Report and Order, FCC 02-48, 2002.
[2]   L.H. Hsieh, K. Chang, “Compact, low insertion-loss sharp-rejection, and wide-band microstrip bandpass filters,” IEEE Trans. Microwave Theory Tech., vol. 51, no. 4, pp. 1241-1246, 2003.
[3] H. Ishida, and K. Araki, “Design and analysis of UWB bandpass filter with ring filter,” IEEE Trans. MTT-S Int. Dig., vol.3, pp.1307-1310, 2004.
[4]  L. Zhu, H. Bu and K. Wu, “Broadband and compact multi-pole microstrip bandpass filters using ground plane aperture technique,” IEEE Trans. Microwave Theory Tech., vol.49, no.1, pp.71-77, Feb. 2002.
[5] L. Zhu, S. Sun and W. Menzel, “Ultra-wideband (UWB) bandpass filters using multiple-mode resonator,” IEEE Microw. Wireless Compon. Lett., vol.15, no.11, pp. 796-798, Nov. 2005.
[6]  P. Cai, Z. Ma, X. Guan, Y. Kobayashi, T. Anada and Gen Hagiwara,“A Novel compact ultra-wideband bandpass filter using a microstrip stepped-impedance four-modes resonator,” 2007 IEEE MTT-S International Microwave Symposium Digest, pp.751-754.
[7] Zhewang Ma, Wenqing He, Chun-Ping Chen, Yoshio Kobayashi, and Tetsuo Anada, “A Novel Compact Ultra-Wideband Bandpass Filter Using Microstrip Stub-Loaded Dual-Mode Resonator oublets,” 978-1-4244-1780-3/08 © 2008 IEEE
[8]  He, Z. N., X. L. Wang, S. H. Han, T. Lin, and Z. Liu, “The synthesis and design for new classic dual-band waveguide band-stop filters," Journal of Electromagnetic Waves and Applications, Vol. 22, No. 1, 119-130, 2008.
[9]  Dai, X.-W., C.-H. Liang, B.Wu, and J.-W. Fan, “Novel dual-band bandpass ¯lter design using microstrip open-loop resonators," Journal of Electromagnetic Waves and Applications, Vol. 22, No. 2/3, 219-225, 2008.
[10] Li, G., B. Wu, X.-W. Dai, and C.-H. Liang, “Design techniques for asymmetric dual-passband filters," Journal of Electromagnetic Waves and Applications, Vol. 22, No. 2/3, 375-383, 2008.
[11] Wang, J. P., B. Z. Wang, Y. X. Wang, and Y. X. Guo, “Dual-band microstrip stepped-impedance bandpass filter with defected ground structure," Journal of Electromagnetic Waves and Applications, Vol. 22, No. 4, 463-470, 2008.
[12] Dai, X.-W., C.-H. Liang, G. Li, and Z.-X. Chen, “Novel dual-mode dual-band bandpass ¯lter using microstrip meander-loop resonators," Journal of Electromagnetic Waves and Applications, Vol. 22, No. 4, 573-580, 2008.
[13] Hsu, C.Y., H.-R. Chuang, and C.-Y. Chen, “Compact microstrip UWB dual-band bandpass with tunable rejection band," Journal of Electromagnetic Waves and Applications, Vol. 23, No. 5/6, 617-626, 2009.
[14] Abu-Hudrouss, A. M. and M. J. Lancaster, “Design of multiple-band microwave filters using cascaded ¯lter elements," Journal of Electromagnetic Waves and Applications, Vol. 23, No. 10, 2109-2118, 2009.
[15] Weng, R. M. and P. Y. Hsiao, “Double-layered quad-band bandpass filter for multi-band wireless systems," Journal of Electromagnetic Waves and Applications, Vol. 23, No. 3, 2153-2161, No. 16, 2009.
[16] Alkanhal, M. A. S., “Dual-band bandpass filters using inverted stepped-impedance resonators," Journal of Electromagnetic Waves and Applications, Vol. 23, No. 8/9, 1211-1220, 2009.
[17] Progress In Electromagnetics Research, PIER 102, 2010 123 Myyake, H., S. Kitazawa, T. Ishizaki, T. Yamada, and Y. Nagatomi, “A miniaturized monolithic dual band filter using ceramic lamination technique for dual mode portable telephones," IEEE-MTT-S International Microw. Symp. Dig, Vol. 2, 789-792, 1997.
[18] Tsai, L. C. and C. W. Huse, “Dual-band bandpass filters using equal length coupled-serial-shunted lines and Z-transform techniques," IEEE Trans. on Microwave Theory and Tech., Vol. 52, No. 4, 1111-1117, Apr. 2004.
[19] Chen, C. Y. and C. Y. Hsu, “A simple and e®ective method for microstrip dual band design," IEEE Microw. Wireless Compon. Lett., Vol. 16, No. 3, 246-258, May 2006.
[20] Garca-Lamperez, A. and M. Salazar-Palma, “Dual band filter with split-ring resonators," IEEE MTT-S International Microw. Symp. Dig., 519-522, 2006.
[21] Quendo, C., E. Rius, and C. Person, “An original topology of dual-band filter with transmission zeros," IEEE-MTT-S International Microw. Symp. Dig., Vol. 2, 1093-1096, 2003.
[22] Tsai, C. M., H. M. Lee, and C. C. Tsai, “Planar filter design with fully controllable second passband," IEEE Trans. on Microwave Theory and Tech., Vol. 53, No. 11, 3429-3439, Nov. 2005.
[23] Chin, K. S., J. H. Yeh, and S. H. Chao, “Compact dual-Band bandstop filters using stepped-impedance resonators," IEEE Microw. Wireless Compon. Lett., Vol. 17, No. 12, 849-851, Dec. 2007.
[24] Kuo, J. T. and H. S. Cheng, “Design of quasi-elliptic function filters with a dual-passband response," IEEE Microw. Wireless Compon. Lett., Vol. 14, No. 10, 472-475, Oct. 2004.
[25] Kuo, J. T., T. H. Yeh, and C. C. Yeh, “Design of microstrip bandpass filters with a dual-passband responds," IEEE Trans. on Microwave Theory and Tech., Vol. 53, No. 4, 1331-1337, Apr. 2005.
[26] Sun, S. and L. Zhu, “Compact dualband microstrip bandpass filter without external feed," IEEE Microw. Wireless Compon. Lett., Vol. 15, No. 10, 644-646, Oct. 2005.
[27] Zhang, Y. P. and M. Sun, “Dual-band microstrip passband filter using stepped-impedance resonators with new coupling scheme,"IEEE Trans. on Microwave Theory and Tech., Vol. 54, No. 10, 3779-3785, Oct. 2006.
[28] Weng, M. H., H. W. Wu, and Y. K. Su, “Compact and low loss dual-band bandpass filter using pseudo-interdigital stepped lazquez-Ahumada et al. impedance resonators for WLANs," IEEE Microw. Wireless Compon. Lett., Vol. 17, No. 3, 187-189, Mar. 2007.
[29] Velazquez-Ahumada, M. C., J. Martel, F. Medina, and F. Mesa, “Design of a dual band-pass filter using modified folded stepped-impedance resonators," IEEE-MTT-S International Microw. Symp. Dig., 857-860, 2009.
[30] Hong, J.-S. and W. Tang, “Dual-band filter based on non-degenerate dual-mode slow-wave open-loop resonators," IEEE-MTT-S International Microw. Symp. Dig., 861-864, 2009.

1.	Malek Harbawi and Asaf Varol, “The Role of Digital Forensics in Combating Cybercrimes”.
2.	M. Al Fahdi, N.L. Clarke and S.M. Furnell, “Challenges to Digital Forensics: A survey of researchers & practitioners attitudes and opinions.
3.	B.Skaggs, B. Blackburn, G. Manes, S. Shenoi, “Network Vulnerability Analysis”.
4.	Prashant S. Shinde and Prof. Shrikant B. Ardhapurkar, “Cyber Security Analysis using Vulnerability Assessment and penetration Testing”.
5.	Abirami Sivaprasad and Smita Jangale, “A Complete study on Tools and Techniques for digital Forensic Analysis”.
6.	Andrw Jones and Stilianos Vidalis and Nasser Abouzakhar, “Information Security and digital forensics in the world of cyber physical systems”.
7.	Arun V. Sathanur and David J. Haglin, “A novel centrality Measure for network-wide cyber vulnerability assessment”.
8.	Arni Ariani, John Lewis and Pradeep K. Ray, “The vulnerability assessment for Emergency response Plans”.
9.	C.Balan, Dija S, Divya S, VIdyadharan, “The need to adopt agile methodology in the development of cyber forensic tools”.
10.	S.Al Sharif, F.Iqbal,T.Baker and A. Marrington, “Magec:An image searching tool for detecting forged images in forensic investigation”.
11.	Noble Kumari and A.K Mohapatra, “An insight into digital forensics branches and tools”.
12.	Simson L Garfinkel and Nicole Beebe, Lishu liu, “Detecting Threatening insiders with lightweight media forensics”.

1.	2016: Current State of Cybercrime, RSA whitepaper.

2.	Basic survey on Malware Analysis, Tools, and Techniques. Dolly Uppall, Vishaka Mehra, and Vinod Verma.

3.	A survey of cybercrime. Zhicheng Yang.

4.	Detecting and Classifying Morphed Malwares: A Survey, Sanjam Singla.

5.	Evolution, Detection and Analysis of Malware for Smart Devices Guillermo Suarez-Tangil, Juan E. Tapiador, Pedro Peris-Lopez, and Arturo Ribagorda.

6.	A Survey on Techniques in Detection and Analyzing Malware Executables, Kirti Mathur.

7.	Malware Analysis and Classification: A Survey Ekta Gandotra, Divya Bansal, Sanjeev Sofat.

8.	Malware and cyber crime. House of Commons, Science and Technology Committee.

9.	Malware and Malware Detection Techniques: A Survey. Jyoti Landage.

10.	A Survey on Malware Attacks on Smartphones Kireet, Dr.Meda, and Sreenivasa Rao

11.	https://www.theguardian.com/technology/2016/oct/22/cyber-attack-hackers-weaponised-everyday-devices-with-malware-to-mount-assault

12.	https://securelist.com/analysis/quarterly-malware-reports/75640/it-threat-evolution-in-q2-2016-statistics/

13.	https://www.av-test.org/en/statistics/malware/

14.	https://blog.barkly.com/cyber-security-statistics-2017.

[I] R. J. Anderson and F. A.P. Petitcolas, "On The Limits of Steganography", IEEE Journal of selected Areas in communication, 16(4), pp. 474-481,Special Issue on Copyright & Privacy protection. ISSN 0733-8716, May 1998.
 [2] M. A. B. Younes and A. Jantan, "A New Steganography Approach for Image Encryption Exchange by using the LSB insertion", IJCSNS International Journal of Computer Science & Network Security, Vol 8, No 6 , pp. 247-254, June 2008.
 [3] G. Swain and S .. K .. Lenka, "Steganography-Using a Double Substitution Cipher", International Journal of Wireless Communications and Networking, Volume 2, Number I, pp.35-39. ISSN: 0975-7163, June 2010. 
[4] G. Swain and S. K. Lenka, " A Technique for Secure Communication using Message Dependent Steganography",Special issue of IJCCT, Vol. 2,No. 12,2010.
 [5] G. Swain and S. K. Lenka, "Steganography using the Twelve Square Substitution Cipher and Index Variable" ,IEEE transactions on Image Processing, pp. 84-88, 2011.
 [6] A. Nag, J. P. Singh, S. Khan and S. Ghosh," A Weighted Location Based LSB Image Steganography Technique", Springer ACC 2011, Part II, CCIS 191, pp. 620-627, 20 II.
 [7] C. Maiti, D. Baksi, I. Zamider, P. Gorai and D. R. Kisku," Data Hiding in Images Using Some Efficient Steganography Techniques",Springer SIP 2011, CCIS 260, pp. 195-203, 20 II. 
[8] B. Li,.,et al. "A survey on image steganography and steganalysis", Journal of Information Hiding and Multimedia Signal Processing, Vol. 2, No. 2, pp. 142172, 2011. 
[9]G. Swain and S . .K .. Lenka, "A Dynamic Approach to Image Steganography Using the Three Least Significant Bits and Extended Hill Cipher" Advanced Materials Research, voI.403-408, pp.842-849,2012. 
[10] S. Padmapriya, S. Saravanapriya and D. Jayachitra," Performance Analysis of Various Encryption Algorithms for Data Communication", International Journal of Computer 

1. J. Pei, J. Han, B. Mortazavi-Asl, H. Pinto, Q.
Chen, U. Dayal, and M. Hsu, ―Mining sequential
patterns by pattern-growth: The pre-fixspan
approach,‖ IEEE Trans. Knowl. Data Eng., vol. 16,
no. 10, pp. 1–17, Oct. 2004.
2. R. Agrawal and R. Srikant, ―Mining sequential
patterns,‖ in Proc. 11th Int. Conf. Data Eng., 1995,
pp. 3–14.
3. J. Pei, J. Han, B. Mortazavi-Asl, H. Pinto, Q.
Chen, U. Dayal, and M. Hsu, ―Mining sequential
patterns by pattern-growth: The pre-fixspan
approach,‖ IEEE Trans. Knowl. Data Eng., vol. 16,
no. 10, pp. 1–17, Oct. 2004.
4. M. J. Zaki, ―SPADE: An efficient algorithm for
mining frequent sequences,‖ Mach. Learning, vol. 42,
no. 1–2, pp. 31–60, 2001.pp. 1–17, Oct. 2004.
5. D. Lo, S.-.C. Khoo, and L. Wong, ―Non-redundant
sequential rules—Theory and algorithm,‖ Inf. Syst.,
vol. 34, no. 4/ 5, pp. 438–453, 2009.
6. Y. Zhao, H. Zhang, L. Cao, C. Zhang, and H.
Bohlscheid, ―Mining both positive and negative
impact-oriented sequential rules from transactional
data,‖ in Proc. 13th Pacific-Asia Conf.

[1] N. Nodarakis, S. Sioutas, A. Tsakalidis, and G. Tzimas. Large-Scale Sentiment Analysis On Twitter with Spark. Mar 15, 2016.
[2] Enock Kanyesigye , Sumitra Menerea," Sentiment Analysis Of Reviews Using Hadoop". 2016.
[3] J. McAuley, R. Pandey, J. Leskovec Knowledge Discovery and Data Mining, 2015.
[4] J. McAuley, C. Targett, J. Shi, A. van den Hengel SIGIR, 2015
[5] Eman M.G. Younis, Faculty of Computer and Information Minia University, Egypt, "Sentiment Analysis and Text Mining for Social Media Microblogs using Open Source Tools: An Empirical Study".February 2015
[6] Poobana S, Sashi Rekha k, "Opinion Mining From Text Reviews Using Machine Learning Algorithm ".3, March 2015
[7] Mrs. Uma Gurav, Prof. Dr. Nandini sidnal, "Opinion mining for reputation evaluation on unstructured Big Data " . 4, April 2015
[8] Spark. The apache software foundation: Spark homepage. http://spark.apache.org/, 2015. [Online; accessed 27-December-2015]
[9] Sunil B. Mane, Y. Sawant, S. Kazi, and V. ShindeReal.Time Sentiment Analysis of Twitter Data Using Hadoop,College of Engineering, Pune. 2014
[10] Anju Gahlawat. Big Data Analysis using R and Hadoop. September 2014
[11] Pravesh Kumar Singh, Mohd Shahid Husain, "METHODOLOGICALSTUDY OFOPINION MINING AND SENTIMENT ANALYSIS TECHNIQUES".  February 2014
[12] Kalyankumar B Waddar, K Srinivasa, "OPINION MINING IN PRODUCT REVIEW SYSTEM USING BIG DATA TECHNOLOGY HADOOP".Jul 5,2014
[13] Julia Kreutzer And Neele Witte, Opinion Mining Using SentiWordNet, Semantic Analysis, Uppsala University. 2013/14
[14] Arjun Mukherjee, Vivek Venkataraman, Bing Liu, Natalie Glance, "Fake Review Detection: Classification and Analysis of Real and Pseudo Reviews" .2013
[15] Nitin Jindal and Bing.Opinion Spam and Analysis.Department of Computer Science, University of Illinois at Chicago.Feb 12, 2008
[16] Bo Pang, Lillian Lee, “Opinion Mining and Sentiment Analysis” . 2008
[17] Bing Liu, Minquing hu, “Mining and summarizing Customer Reviews”. 2004
[18] K. Waddar and K. Srinivasa. OPINION MINING IN PRODUCT REVIEW SYSTEM USING BIG DATA TECHNOLOGY HADOOP
[19] B. Pang, L. Lee, and S. Vaithyanathan. Sentiment classification using machine learning techniques.
[20] Maria Soledad Elli, Yi-Fan Wang, Amazon Reviews, business analytics with sentiment analysis

[1] Waseem Khan, ”Image Segmentation Techniques: A Survey,” Journal of Image and Graphics, Vol. 1, No. 4, December 2013, available at, http://www.joig.org/uploadfile/2013/1226/20131226051740869.pdf  
[2] Sujata Saini and Komal Arora, ” A Study Analysis on the Different Image Segmentation Techniques,” International Journal of Information & Computation Technology. ISSN 0974-2239 Volume 4, pp. 1445-1452, 2014, available at, http://www.ripublication.com/irph/ijict_spl/ijictv4n14spl_13.pdf
[3] Rajeshwar Dass, Priyanka, and Swapna Devi,” Image Segmentation Techniques,” EJECT Vol. 3, Issue 1, ISSN: 2230-7109 (Online) |  ISSN: 2230-9543 (Print), Jan-March 2012.
[4] Rafael C. Gonzalez and Richard E. Woods, “Digital Image Processing,” 2nd ed., Beijing: Publishing House of Electronics Industry, 2007, 
[5] H. G. Kagami and Z. Beige, “Region-Based Detection versus Edge Detection,” IEEE Transactions on Intelligent information hiding and multimedia signal processing, pp. 1217-1221, 2009.
[6] K. K. Singh and A. Singh, “A Study of Image Segmentation Algorithms for Different Types of Images,” International Journal of Computer Science Issues, Vol. 7, Issue 5, 2010.
[7] Hassan Grema Kagami and Zou Beijing, “Region-Based Segmentation versus Edge Detection,” Intelligent Information Hiding and Multimedia Signal Processing, 2009. IIH-MSP '09. Fifth International Conference, pp. 1217 – 1221, DOI: 10.1109/IIH-MSP.2009.13, 2009.
[8] Nikita Sharma, Mahendra Mishra and Manish Shrivastava, “ Colour Image Segmentation Techniques and Issues: An Approach,” International, W. X. Kang, Q. Q. Yang, R. R. Liang, “The Comparative Research on Image Segmentation Algorithms,” IEEE Conference on ETCS, pp. 703-707, 2009.
[9] Muthukrishnan and Radha, “Edge Detection Techniques For Image Segmentation”, International Journal of Computer Science & Information Technology (IJCSIT), Vol 3, No 6, Dec 2011, available at  http://airccse.org/journal/jcsit/1211csit20.pdf
[10]http://homepages.inf.ed.ac.uk/rbf/CVonline/LOCAL_COPIES/MORSE/threshold.pdf
[11]http://www.ancient-asia-journal.com/articles/10.5334/aa.06113/
[12] Salem Saleh Al-Amri, N.V. Kalyankar and Khamitkar, ” Image Segmentation by Using Threshold Techniques,” Journal Of Computing, Volume 2, Issue 5, ISSN 2151-9617, May 2010, available at https://arxiv.org/ftp/arxiv/papers/1005/1005.4020.pdf 
[13] Santanu Bhowmik and Viki Datta,” A Survey on Clustering Based Image Segmentation,” International Journal of Advanced Research in Computer Engineering & Technology, Volume 1, ISSN: 2278 – 1323, Issue 5, July 2012, available at, http://ijarcet.org/wp-content/uploads/IJARCET-VOL-1-ISSUE-5-280-284.pdf
[14]Sriparna Saha and Sanghamitra Bandyopadhyay”, A new symmetry-based multiobjective clustering technique for the automatic evolution of clusters,” Journal Pattern Recognition, Volume 43, Issue 3, pp 738-751, March 2010.
[15] Lehmann,”Turbo segmentation of textured images,” on Pattern Analysis and Machine Intelligence, Vol: 33, pp: 16 – 29, 2011.
[16] J. Luo, R. T. Cray and Lee, “Incorporation of derivative priors in adaptive Bayesian color image segmentation’’, Proc. ICIP’97, Vol. 3, pp. 58-61, Oct 26-29, 1997.
[17] J. Gao and J. Zhang M. G. Fleming, ”A Novel Multiresolution Color Image Segmentation Technique and its application to Dermatoscopic Image Segmentation,” Image Processing, vol.3, pp.408-411, 2000.  
[18] Tamas Sziranyi, Josiane Zerubia, Laszlo Czuni, David Goldreich and Zoltan Kato, “Image Segmentation Using Markov Random Field Model in Fully Parallel Cellular Network Architectures”, Real-Time Imaging 6, DOI:10.1006/rtim.1998.0159, pp. 195-211 (2000), available at, https://www.inf.u-szeged.hu/~kato/papers/rti2000.pdf
[19] Pedro F. Felzenszwalb and Daniel P. Huttenlocher, “Efficient Graph-Based Image Segmentation,” International Journal of Computer Vision 59(2), pp. 167–181, 2004.

[1] WHO, “Who global report on falls prevention in older age,” tech. rep., 2007.

[2] R. JM, B. DW, and L. LL, “Preventable medical injuries in older patients,” Archives of                                     Internal Medicine, vol. 160, no. 18, pp. 2717–2728, 2000.

[3] T. Masud and R. O. Morris, “Epidemiology of falls,” Age and Ageing, vol. 30, no. suppl 4, pp. 3–7, 2001.

[4] Friedman, S.M., Munoz, B., West, S.K., BandeenRoche, K. and Fried, L.P., 1997, September. Falls and fear of falling: Which comes first?. In JOURNAL OF THE AMERICAN GERIATRICS SOCIETY (Vol. 45, No. 9, pp. P186-P186). 351 WEST CAMDEN ST, BALTIMORE, MD 21201-2436: WILLIAMS & WILKINS.

[5] Brownsell, S. and Hawley, M.S., 2004. Automatic fall detectors and the fear of falling. Journal of telemedicine and telecare, 10(5), pp.262-266.

[6] Rubenstein, L.Z. and Josephson, K.R., 2002. The epidemiology of falls and syncope. Clinics in geriatric medicine, 18(2), pp.141-158.

[7] Tinetti, M.E., Liu, W.L. and Claus, E.B., 1993. Predictors and prognosis of inability to get up after falls among elderly persons. Jama, 269(1), pp.65-70.

[8] Fu Z, Delbruck T, Lichtsteiner P, Culurciello E: An address-event fall detector for assisted living applications. IEEE Trans Biomed Circuits Syst 2008, 2:88–96.

[9] Zhang C, Tian Y, Capezuti E: Privacy preserving automatic fall detection for elderly using RGBD cameras. In Proceedings of the 13th International Conference on Computers Helping People with Special Needs. Edited by Miesenberger K, Karshmer A, Penaz P, Zagler W. Linz: Springer-Verlag Berlin;2012:625–633. doi:10.1109/ICSSE.2010.5551751.http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=5551751&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D5551751.

[10] Bourke A, O’Brien J, Lyons G: Evaluation of a threshold-based triaxial accelerometer fall detection algorithm. Gait Posture 2007, 26:194–199.

[11] Li Q, Stankovic JA, Hanson M, Barth A, Lach J: Accurate, fast fall detection using gyroscopes and accelerometer derived posture information. In Proceedings of the 6th International Workshop on Wearable and Implantable Body Sensor Networks. Edited by Lo B, Mitcheson P. Berkeley; 2009:138–143. doi:10.1109/BSN.2009.46.

[12] Shan S, Yuan T: A wearable pre-impact fall detector using feature selection and support vector machine. In Proceedings of the IEEE 10th International Conference on Signal Processing. Beijing: Institute of Electrical and Electronics Engineers; 2010:1686–1689. doi:10.1109/ICOSP.2010.5656840. 

[13] Lee RYW, Carlisle AJ: Detection of falls using accelerometers and mobile phone technology. Age Ageing 2011, 0:1–7.

[1]” Robust adaptive beamforming based on the Kalman filter”, A. El-Keyi ;  T. Kirubarajan ; A.B. Gershman,  IEEE Transactions on Signal Processing ( Volume: 53, Issue: 8, Aug. 2005.
[2] “Different adaptive beamforming algorithms for performance investigation of smart antenna system”, Ashraf A. M. Khalaf ;  Abdel-Rahman B. M. El-Daly ;  Hesham F. A. Hamed, Software, Telecommunications and Computer Networks (SoftCOM), 2016 24th International Conference .
[3] Comparative analysis of adaptive beamforming algorithm LMS, SMI and RLS for ULA smart antenna”, Dhaval N. Patel ;  B. J. Makwana ;  P. B. Parmar,  Communication and Signal Processing (ICCSP), 2016 International Conference on
[4] Griffiths L.J.: A simple adaptive algorithm for real time processing of in antenna arrays. Proc. IEEE 57, 1696–1704. 
[5] S. V. Narasimhan, S. Veena, H. Lokesha Variable step-size Griffiths’ algorithm for improved performance of feedforward/feedback active noise control, Signal, Image and Video Processing, 2010, Volume 4, Number 3, Page 309.
 [6] Kim, I.-S., Na, H.-S., Kim, K.-J., Park, Y.: Constraint filtered-X and filtered-U LMS algorithms for the active control of noise in ducts. J. Acoust. Soc. Am. 95(6) (1994)
[7]Kuo S.M., Morgan D.R.: Active noise control systems, algorithms and dsp implementations. Wiley, New York (1996)Google Scholar
[8] Kuo, S.M., Vijayan, D.: A secondary path modeling technique for active noise control. IEEE Trans. Speech Audio 5(4) (1997).
[9]Kwong R.H., Johnston E.W.: A variable step-size LMS algorithm. IEEE Trans. Signal Process. 40(7), 1633–1642 (1992).

1. Y. Deswarte, J. J. Quisquater, and A. Saïdane, “Remote integrity checking,” In Integrity and internal control in information systems VI, Springer US, 1-11 (2004).
2. D. L. Gazzoni Filho, and P. S. L. M. Barreto, “Demonstrating data possession and uncheatable data transfer,” IACR Cryptology ePrint Archive 2006, 150 (2006).
3. A. Juels, and B. S. Kaliski Jr, “PORs: Proofs of retrievability for large files,” In Proceedings of the 14th ACM conference on Computer and communications security, Acm, 584-597 (2007).
4. G. Ateniese, R. Burns, R. Curtmola, J. Herring, L. Kissner, Z. Peterson, and D. Song, “Provable data possession at untrusted stores,” In Proceedings of the 14th ACM conference on Computer and communications security, Acm, 598-609 (2007).
5. H. Shacham, and B. Waters, “Compact proofs of retrievability,” In International Conference on the Theory and Application of Cryptology and Information Security, Springer Berlin Heidelberg, 90-107 (2008).
6. Q. Wang, C. Wang, J. Li, K. Ren, and W. Lou, “Enabling public verifiability and data dynamics for storage security in cloud computing,” In European symposium on research in computer security, Springer Berlin Heidelberg, 355-370 (2009).
7. M. A. Shah, R. Swaminathan, and M. Baker, “Privacy-Preserving Audit and Extraction of Digital Contents,” IACR Cryptology EPrint Archive 186 (2008).
8. C. Wang, K. Ren, W. Lou, and J. Li, “Toward publicly auditable secure cloud data storage services,” IEEE network 24, (2010).
9. C. C.  Erway, A. Küpçü, C. Papamanthou, and R. Tamassia, “Dynamic provable data possession,” ACM Transactions on Information and System Security (TISSEC) 17, (2015).
10. Y. Zhu, H. Wang, Z. Hu, G. J. Ahn, H. Hu, and S. S. Yau, “Dynamic audit services for integrity verification of outsourced storages in clouds,” In Proceedings of the 2011 ACM Symposium on Applied Computing, ACM, 1550-1557 (2011).
11. Q. Zheng, and S. Xu, “Fair and dynamic proofs of retrievability,” In Proceedings of the first ACM conference on Data and application security and privacy, ACM, 237-248 (2011).
12. A. Küpçü, “Official arbitration with secure cloud storage application,” The Computer Journal 58, 831-852 (2015).
13. N. Asokan, V. Shoup, and M. Waidner, “Optimistic fair exchange of digital signatures,” IEEE Journal on Selected Areas in communications 18, 593-610 (2000).
14. C. Wang, Q. Wang, K. Ren, and W. Lou, “Privacy-preserving public auditing for data storage security in cloud computing,” In Infocom, 2010 proceedings ieee, 1-9 (2010).
15. C. Wang, S. S. M Chow, Q. Wang, K. Ren, and W. Lou, “Privacy-preserving public auditing for secure cloud storage,” IEEE transactions on computers 62, 362-375 (2013).
16. B. Wang, B. Li, and H. Li, “Oruta: Privacy-preserving public auditing for shared data in the cloud,” In Cloud Computing (CLOUD), 2012 IEEE 5th International Conference on, 295-302 (2012).
17. J. Yuan, and S. Yu, “Proofs of retrievability with public verifiability and constant communication cost in cloud,” In Proceedings of the 2013 international workshop on Security in cloud computing, ACM, 19-26 (2013).
18. A. F. Barsoum, and M. A. Hasan, “Provable multicopy dynamic data possession in cloud computing systems,” IEEE Transactions on Information Forensics and Security 10, 485-497 (2015).

1.	Moonen M et.al,” Singular value decomposition updating algorithm for subspace tracking”, SIAM Journal on Matrix Analysis and Applications, 13(4):1015-38,October-1992. 

2.	Konda  et.al, ”A new algorithm for singular value decomposition and its parallelization”, Parallel Comput., 35(6):331-344,June-2009.

3.	Julie Kamm L, SVD-Based Methods for Signal and Image Restoration, PhD Thesis, 1998.

4.	Yang J F et.al, “Combined Techniques of Singular Value Decomposition and Vector Quantization for Image Coding”, IEEE Trans. Image Processing, 4(8):1141 – 1146,August-1995.

5.	Awwal Mohammed Rufai et.al, “Lossy Image Compression using singular value decomposition and wavelet difference reduction”, Digital signal Processing, 24:117- 123,January-2014.

6.	Manoj Kumar, Ankita Vaish, An efficient encryption-then-compression technique for encrypted images using SVD, Digital Signal Processing, 60:81-89,January-2017.

7.	Jin Wang, Zhensen Wu et.al, “An efficient spatial deblocking of images with DCT compression”, Digital Signal Processing, 42:80-88,July-2015.

8.	Saiprasad Ravishankar, “Learning Sparsifying Transforms", IEEE Transactions on Signal Processing, 61(5):1072-1086,March-2013.

9.	K.M.M. Prabhu et.al, “3-D warped discrete cosine transform for MRI image compression”, Biomedical Signal Processing and Control, 8(1):50-58,January-2013.

10.	Kaveh Ahmadi et.al, “An efficient compression scheme based on adaptive thresholding in wavelet domain using particle swarm optimization”, Signal Processing: Image Communication, 32:33-39,March-2015.

11.	Fouzi Douak et.al, “Color image compression algorithm based on the DCT transform combined to an adaptive block scanning”, Int. J. Electron. Commun. (AEU), 65(1):16-26,January-2011.

12.	Lige Wang et.al, “Interpretation of Particle Breakage under Compression using X-ray”, Computed Tomography and Digital Image Correlation, Procedia Engineering, 102:240 – 248, 2015.

13.	Milan S. Savic et.al, “Coding algorithm for grayscale images based on Linear Prediction and dual mode quantization”, Expert Systems with Applications, 42(21):7285–7291,November-2015.

[1] Unity3D, Unity - Game Engine, http://unity3d.com/, downloaded: May 5th 2014. (Witte, 2008) Witte, C.; Armbruster, W.; Jäger, K. Au-tomatic generation of 3D models from real multisensor data. In Proceedings of the 11th International Conference on Information Fusion, pages 1823-1828, Cologne, Germany, 2008.
[2]VirtualWorldReview,http://www.virtualworldsreview.com/info/whatis.shtml
[3]. “A Comparison of Three Virtual World Platforms for the Purposes of Learning Support in Virtual Life”.
[4] “Network collaborative environment for human tissues 3D modeling”
[5] Virendrakumar Dhotre, “Personalized Web Search Using Browsing History and Domain Knowledge”, International Journal of Recent and Innovations Trends in Computing and Communication, ISSN: 2321-8169, Volume 3, Issue 3, March 2015. 
 [6]https://docs.unity3d.com/Manual/HOWTO-importObject.html
[7] Virendra A. Dhotre, “Image Authentication Using Stochastic Diffusino”, International Journal of Engineering Research and Technology, ISSN: 2278-0181, Volume 4, Issue 4, April-2015.
 [8] “he design and research of the somatosensory interaction system based on kinect and unity 3D”, Yanke Ci; Jinli Yao 2015 10th International Conference on Computer Science & Education (ICCSE) Year: 2015 Pages: 983 - 986, DOI: 10.1109/ICCSE.2015.7250394
[9] “The simulation of building escape system based on Unity3D” Qiyun Sun; Wanggen Wan; Xiaoqing Yu 2016 International Conference on Audio, Language and Image Processing (ICALIP) Year: 2016 Pages: 156 - 160, DOI: 10.1109/ICALIP.2016.7846656
[10] “Immersive VR for natural interaction with a haptic interface for Shape Rendering” Mario Covarrubias; Monica Bordegoni 2015 IEEE 1st International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI) Year: 2015 Pages: 82 - 89, DOI: 10.1109/RTSI.2015.7325075
[11] A 3D Simulation System for Emergency Evacuation in Offshore Platforms Guilherme Bezerra Zampronio; Alberto Barbosa Raposo; Marcelo Gattass 2015 XVII Symposium on Virtual and Augmented Reality Year: 2015, Pages: 99 - 106, DOI: 10.1109/SVR.2015.21
[12] Virendrakumar Dhotre, Dr. K. j. karande “Refinement of Data Streams using Minimum  variance principle”, 978-1-4799-6629-5/14/$31.00_c 2014 IEEE.
[13] Virendrakumar Dhotre “Fog Computing: Mitigating Insider Data Theft Attacks in the Cloud”, International Journal of Trend in Research and Development, ISSN: 2394-9333, Volume 2, Issue 2, March-April, 2015.
 [14] ”3D Virtual Client Center and its Service Oriented Modeling”
.[15] Dhotre V. A. “Meet you – Social Networking on Android”, International Journal of Innovations and Advancement in Computer Science, ISSN: 2347-8616, Volume 4, Issue 4, April 2015.
[16] http://tf3dm.com/3d-models/electronics
[17] Virendrakumar A. Dhotre, “Integrity and Confidentiality for the Files in Cloud Storage”, International Journal of Trend in Research and Development, ISSN: 2394-9333, Volume 2, Issue 2, March-April 2015.
[18] Dhotre Virendrakumar, “A New Method of Image Compression and Decompression Using Huffman Coding Technic” International Engineering Research Journal, ISSN: 2395-1621, Volume 1, Issue 4, April 2015.
[19] Virendrakumar Dhotre, “Secure Data Transmission Using Wireless Data Transmission and Face Detection”, International Journal of Recent and Innovations Trends in Computing and Communication, ISSN: 2321-8169, Volume 2, Issue 4, April 2014.

1.	http://www.antonine-education.co.uk/Pages/Physics_2/Mechanics/MEC_09/Mechanics_Page_9.htm
2.	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392006000300002
3.	http://chinafrp.en.made-in-china.com/product/ySpQrwdAfchW/China-Supply-High-Strength-Carbon-Fiber-Tube.html
4.	Akshay Balachandran, Divyesh Karelia, Dr. Jayaramulu Challa, “Material selection for unmanned aerial vehicle”, In: International Journal of Mechanical Engineering and Technology.
5.	Aumkar Rane and Raghav Kabra, “Fabrication of Carbon Fiber Fuselage for Unmanned Aerial Vehicle”, In: International Journal of Research – Granthalayah
6.	Amit tiwari, “To study and fabrication of air cushion vehicle”, In: International Journal of Research – Granthalayah
7.	Okafor, B.E., “Development of Hovercraft prototype”, In: International Journal of Engineering and Technology (March 2013).
8.	Prof. P. S. Shirsath, Prof. M. S. Hajare, Prof. G. D. Sonawane, Mr. Atul Kumar, Mr. S. U. Gunjal, “A review on design and analysis of amphibious vehicle”, In: International journal of Science, Technology and Management (January 2015).
9.	Rakesh Chandmal Sharma, Manish Dhingra, Rajeev Kumar Pathak, Manish Kumar, “Air Cushion Vehicles: Configuration, Resistance and Control”, In: Journal of Science (2014).
10.	Anandhakumar, S. Ganeshan, S. Goutham, K. Pasupathi, “Design and fabrication of Hovercraft”, In: International Journal of Innovative Research in Science, Engineering and Technology (2015).

1. Bahi, H., and Benati, N., [2009], “A new keyword
spotting approach”, IEEE International
Conference on Multimedia Computing and
Systems, pp. 77-80.
2. Chui CK, [1992], “An introduction to wavelets”.
Academic, New York.
3. P. Flandrin. Representation temps-fréquence.
Hermes, 1993
4. Fourier J, [1822], “The analytical theory of heat.
(trans: Freeman A)”, Cambridge University Press,
London, pp. 1878
5. Heerman P.D. and N.Khazenie, “Classification of
multispedtral remote sensing data using a bach
propagation neural network,” IEEE Trans, Geosci.
Remote Sensing, vol.GE_30,no.1,1992, pp.81-88.
6. Jo Yew Tham, Lixin Shen, Seng Luan Lee and
Hwee Huat Tan (2000) “A General Approach for
analysis and application of Discrete Multiwavelet
Transforms”, IEEE Transaction on Signal
Processing ,48(2), 457- 464.
7. Jothilakshmi, S., Spoken keyword detection using
autoassociative neural networks, International
Journal Speech Technology, Springer, 2013, pp.
83-89.
8. Khan, W. and Holton, R., Word spotting in
continuous speech using wavelet transform, IEEE
International Conference on Electro/Information
Technology, 2014, pp.275-279
9. Mallat S., [1999], “A wavelet Tour of Signal
Processing”, Academic Press, New York, 1999.
10. Qian S, [2002], “Time-frequency and wavelet
transforms”, Prentice Hall PTR, Upper Saddle,
River, NJ.
11. Rama Kishore, Taranjit Kaur, “Backpropagation
Algorithm: An Artificial Neural Network
Approach for Pattern Recognition”, International
Journal of Scientific & Engineering Research,
Volume 3, Issue 6, June-2012 1 ISSN 2229-5518.
12. Sangeetha, J. and Jothilakshmi, S., “A novel
spoken keyword spotting system using support
vector machine”, Engineering Applications of
Artificial Intelligence, Springer, 2014, pp. 287–
293.
13. Senthil devi K.A., Dr.Srinivasan B., “A novel
Keyword Spotting Algorithm in speech mining
using wavelet”, International Journal of Current
Research Vol. 8, Issue, 08, pp.36943-36946,
August, 2016.
14. Senthil devi K A., Dr.Srinivasan B., “Wavelet –
Neural Network Approach for keyword spotting in
Speech Mining”, International Journal of Trends
and Technologies”, Vol 43, Issue 3, pp 160-165,
2017.
15. Tao Li, Sheng Ma, Mitsunori Ogihara, ” Wavelet
methods in data mining”, Chapter 27 Data Mining
and Knowledge Discovery Handbook ,Springer,
2005, pp 603-626.

[1] RFID Technology Application in Container Transportation Wei Wang, Shidong Fan lShanghai Maritime Academy, China and Schoot of Energy and Power Engineering, Wuhan University of Technology, China.
[2] Automatic Vehicle Identification with Sensor-Integrated RFID System 1 J. Wisanmongkol, T.Sanpechuda and U.Ketprom Proceedings of ECTI-CON 2008.
[3] The Research and Application of RFID Technologies in Highway’s Electronic Toll Collection System Xu Guangxian Department of Electronic Information Engineering, Liaoning Technical University  HuLuDao, China.
[4] Aware and Smart Member Card: RFID and License Plate Recognition Systems Integrated Applications at Parking Guidance in Shopping Mall Cheng-kung Chung and Yu-kuang Hsieh, Yung-hau Wang   and Ching-ter Chang 8th International Conference on Advanced Computational Intelligence Chiang Mai, Thailand; February 14-16, 2016.
[5] RFID-BASED INFORMATION SHARING PLATFORM Ning Li, Zhongliang Deng, Feng Wan, Shibo Zhu, Xiao Liu Proceedings of ICCTA2009.
 [6] Design of an RFID Vehicle Authentication System: A Case Study for Al-Nahrain University Campus Fawzi M. Al-Naima, Haider S. Hatem International Journal of Scientific and Technological Research www.iiste.org ISSN 2422-8702 (Online) Vol 1, No.7, 2015.
[7] Security System for Vehicle using Number Plate Detection and RFID Paras Goyal, Iqbal Singh International Journal of Computer Applications (0975 – 8887) Volume 97– No.8, July 2014.
[8] Vehicle Tracking Using RFID Jayalakshmi J, Ambily O A International Journal of Engineering Research and General Science Volume 4, Issue 2, March-April, 2016 ISSN 2091-2730
[9] Vehicle Fitted Driving License Based Security and Road Safety System M. Rajesh , K. Vignesh Ramanathan , R. Jagadish  , S. Dhayalan International Journal of Innovative Research in Science, Engineering and Technology An ISO 3297: 2007 Certified Organization, Volume 4, Special Issue 4, April 2015.
[10] Embedded Based Conveyance Authentication and Notification System S. Dharanya , A. Umamakeswari  International Journal of Engineering and Technology (IJET) ISSN : 0975-4024 Vol 5 No 1 Feb-Mar 2013.

[1].Passive IP Traceback: Disclosing the Locations of IP Spoofers From Path Backscatter Guang Yao, Jun Bi, Senior Member, IEEE, and Athanasios V. Vasilakos, Senior Member.

[2] S. M. Bellovin, “Security problems in the TCP/IP protocol suite,”ACM SIGCOMM Comput.Commun. Rev., vol. 19, no. 2, pp. 32–48,Apr. 1989.

[3] ICANN Security and Stability Advisory Committee, “Distributed denial of service (DDOS) attacks,” SSAC, Tech. Rep. SSAC Advisory SAC008,Mar. 2006.

[4] C. Labovitz, “Bots, DDoS and ground truth,” presented at the 50thNANOG, Oct. 2010.

[5] The UCSD Network Telescope. [Online]. Available: http://www.caida.org/projects/network_telescope/

[6] S. Savage, D. Wetherall, A. Karlin, and T. Anderson, “Practical network support for IP traceback,” in Proc. Conf. Appl., Technol., Archit., Protocols Comput. Commun. (SIGCOMM), 2000, pp. 295–306.

[7] S. Bellovin. ICMP Traceback Messages.[Online]. Available: http://tools.ietf.org/html/draft-ietf-itrace-04, accessed Feb. 2003.

[8] A. C. Snoeren et al., “Hash-based IP traceback,” SIGCOMM Comput. Commun. Rev., vol. 31, no. 4, pp. 3–14, Aug. 2001. [8] D. Moore, C. Shannon, D. J. Brown, G. M. Voelker, and S. Savage,“Inferring internet denial-of-service activity,” ACM Trans. Comput. Syst., vol. 24, no. 2, pp. 115–139, May 2006. [Online]. Available: http://doi.acm.org/10.1145/1132026.1132027

[9] M. T. Goodrich, “Efficient packet marking for large-scale IP traceback,”in Proc. 9th ACM Conf. Comput. Commun.Secur. (CCS), 2002,pp. 117–126.

[10] D. X. Song and A. Perrig, “Advanced and authenticated marking schemes for IP traceback,” in Proc. IEEE 20th Annu. Joint Conf. IEEE Comput.Commun.Soc. (INFOCOM), vol. 2. Apr. 2001, pp. 878–886.

[11] A. Yaar, A. Perrig, and D. Song, “FIT: Fast internet traceback,” in Proc. IEEE 24th Annu. Joint Conf. IEEE Comput.Commun.Soc. (INFOCOM), vol. 2. Mar. 2005, pp. 1395–1406.

[12] J. Liu, Z.-J.Lee, and Y.-C. Chung, “Dynamic probabilistic packet marking for efficient IP traceback,” Comput.Netw., vol. 51, no. 3, pp. 866–882, 2007.

[13] K. Park and H. Lee, “On the effectiveness of probabilistic packet marking for IP traceback under denial of service attack,” in Proc. IEEE 20th Annu. Joint Conf. IEEE Comput.Commun.Soc. (INFOCOM), vol. 1. Apr. 2001, pp. 338–347

[1]	K. Gai, Z. Shi, and C. Zhang. Blind separation of superimposed moving images using image statistics. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(1):19–32, Jan 2012.

[2]	X. Guo, X. Cao, and Y. Ma. Robust separation of reflection from multiple images. In Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on, pages 2195–2202, June 2014.

[3]	Levin, A. Zomet, and Y.Weiss. Separating reflections from a single image using local features. In Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on, Volume 1, pages I–306–I–313 Vol.1, June 2004

[4]	Y. Shih, D. Krishnan, F. Durand, and W. Freeman. Reflection removal using ghosting cues. In Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on, pages 3193– 3201, June 2015.

[5]	S. N. Sinha, J. Kopf, M. Goesele, D. Scharstein, and R. Szeliski. Image-based rendering for scenes with reflections. In ACM Trans. Graph. (August 2012). ACM SIGGRAPH, August 2012.

[6]	A. K. Jain, “Fundamentals of Digital Image Processing” Prentice-Hall, 1986, p 384.

[7]	Amit Agrawal Ramesh Raskar Shree K. Nayar† Yuanzhen Li Mitsubishi “Removing Photography Artifacts using Gradient Projection and Flash-Exposure Sampling” Electric Research Labs (MERL), Cambridge, MA_ †Columbia University

[8]	Li Michael S. Brown “Exploiting Reflection Change for Automatic Reflection Removal” Yu School of Computing, National University of Singapore liyu@nus.edu.sg | brown@comp.nus.edu.sg

[9]	B.himabindu (Asst. professor, Department of E.C.E, Chalapathi Institute of Technology, Guntur, A.P, India). “Removal of Shadows and Reflections in the Images By Using Cross-Projection Tensors” IOSR Journal of Engineering (IOSRJEN) ISSN: 2250-3021 Volume 2, Issue 8 (August 2012), PP 34-40 www.iosrjen.org www.iosrjen.org 34|Page 

[10]	 Mário A. T. Figueiredo, Senior Member IEEE, Robert D. Nowak, Senior Member, IEEE, and Stephen J. Wright “Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems” IEEE journal of selected topics in signal processing, vol. 1, no. 4, december 2007.
[11]	A. Levin, A. Zomet, and Y. Weiss. “Separating reflections from a single image using local features”. In CVPR, 2004. [7]Song,Bo; Gong,shenwen; Ren,chunjian “Removing artifacts using gradient projection from a single image”. MIPPR 2011: Pattern Recognition and Computer Vision. Edited by Roberts, Jonathan; Ma, Jie. Proceedings of the SPIE, Volume 8004, article id. 80041C, 6 pp. (2011). (SPIE homepage). 

[1]	Donna L. Hoffman, Thomas P. Novak, April 1999/Vol. 42, No. 4 COMMUNICATIONS OF THEACM( Google scholar) 
[2]	www.nielsen.com
[3]	http://en.wikipedia.org/wiki/Social Media 
[4]	Kipp Bodnar – “Social Media Book” - Wiley Publication – 2012
[5]	Dave Awl – “Facebook Me” – Peachpit Press - 2009 
[6]	Joel Comm – “Twitter Power” – Wiley Publication – 2009.

[1]	B. D. Patel, Tanisha Narang1, Shubhangi Jain,”Microstrip Patch Antenna- A Historical Perspective of the Development,” Conference on Advances in Communication and Control Systems 2013 (CAC2S 2013) 
[2]	Indrasen Singh, Dr. V.S. Tripathi, “Micro strip Patch Antenna and its Applications: a Survey,” International Journal of Circuit Theory and Applications, vol. 2, no. 5, ISSN:2229-6093, Sept-Oct 2011.
[3]	Pavan Kumar Sharma, Veerendra Singh Jadaun,” Multi-Band Rectangular Microstrip Patch Antenna with Defected Ground Structure and a Metallic Stripe” International Journal of Technological Exploration and Learning (IJTEL) vol. 1, Issue 1, ISSN: 2319-2135, August 2012.
[4]	Stephyjohn, Manoj k c,” Microstrip Patch Antennas for Uwb Applications: A Review,” IOSR Journal of Electronics and Communication Engineering (IOSR-JECE), vol. 9, Issue 2, pp- 34-37, Mar - Apr. 2014.
[5]	M. T. Islam, M. Habib Ullah, J.S. Mandeep, N. Misran, and M.B.I Reaz,” A Low Profile High Gain Dual Band Patch Antenna for Satellite Application,”International Conference on Electrical, Electronics and Instrumentation Engineering (EEIE'2013), Nov. 27-28, 2013, Johannesburg (South Africa)
[6]	Jobin Kurian, UpamaRajan M.N, Shinoj K. Sukumaran, “Flexible Microstrip Patch Antenna using Rubber Substrate for WBAN Applications,” International Conference on Contemporary Computing and Informatics (IC3I), 2014.
[7]	C. Balanis, Antenna Theory Analysis and Design. New York: Wiley Interscience, 2005.
[8]	RameezShamalik, SushamaShelke, “Design and Simulation of Flexible Antenna for ISM band,” International Journal of Engineering Research and Applications (IJERA), ISSN: 2248-9622, Vol. 2, Issue 3, pp.2168-2170, 2012.
[9]	Shailesh Kumar, GajanandJagrawal and Deepak Billore,” E–Shaped Coaxial Feed Microstrip Patch Antenna for WLAN and WIMAX Applications,” International Journal of Current Engineering and Technology,vol.5, No.2, April 2015.
[10]	Hirohide Serizawa and KoheiHongo,”Radiation from a Flanged Rectangular Waveguide,” IEEE Transactions on Antennas and Propagation, vol. 53, no. 12, December 2005.
[11]	A. Zvyagintsev, A. Ivanov,”Radiation pattern calculation of Flanged Reflector antennas,” 12th International Conference on Mathematical Methods in Electromagnetic Theory, June 29 – July 02, 2008, Odesa, Ukraine.
[12]	Avneet Kaur, Gurnoor Singh, Ekambir Sidhu,”Novel Microstrip Patch Antenna Design employing Flexible PVC Substrate suitable for defence and Radio-determination Applications,” Progress in theproceedings of International conference on automatic control and dynamic optimization techniques, 9 september 2016, Pune, India.
[13]	T. Durga Prasad, K. V. Satya Kumar, MD KhwajaMuinuddin, ChistiB.Kanthamma, V.SantoshKumar,” Comparisons of Circular and Rectangular Microstrip Patch Antennas,” International Journal of Communication Engineering Applications-IJCEA, vol. 02, Issue 04; July 2011.

[1]	A. Bovik, M. Clark, W.S. Geisler, Multichannel texture analysis using localized spatial filters, IEEE Trans. Pattern Anal. and Machine Intelligence 12 (1990), 55-73
[2]	A. Khotanzad, A. Bouarfa, A parallel non-parametric clustering algorithm with application to image segmentation, Proc. 22nd Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA,( 1988)305-309
[3]	A. Laine, J. Fan, Frame representations for texture segmentation, IEEE Trans. Image Processing,  5 (1996) 771-780
[4]	A.K. Jain, F. Farrokhnia, Unsupervised texture segmentation using Gabor filters, Pattern Recognition, 24 (1991) 1167-1186
[5]	A.K. Jain, K. Karu, Learning texture discrimination masks, IEEE Trans. Pattern Anal. Machine Intelligence 18 (1996) 195-205.
[6]	Ahmed R. Khalifa et al.,Evaluating The Effectiveness Of Region Growing And Edge Detection Segmentation Algorithms,. Journal of American Science,6(10), (2010) , 580-587
[7]	Arbelaez, P., Maire, M., Fowlkes, C., Malik, J.: ‘Contour detection and hierarchical image segmentation’, IEEE Trans. Patt. Anal. Mach. Intell., 33, (5), (2010) 898–916
[8]	Arifin, A.Z., Asano, A.: ‘Image segmentation by histogram thresholding using hierarchical cluster analysis’, Patt. Recogn.Lett., 27, (13), (2006)1515–1521
[9]	AshwiniKunte, Anjali Bhalchandra, Efficient DIS Based Region Growing Segmentation Technique for VHR Satellite Images , ICGST-GVIP Journal, Volume 10, Issue 3, (2010)
[10]	B.B. Chaudhuri, N. Sarkar, Texture segmentation using fractal dimension, IEEE Trans. Pattern Anal. Machine Intelligence, 17 (1995) 72-77
[11]	B.S. Manjunath, R. Chellappa, Unsupervised texture segmentation using Markov random field models, IEEE Trans. on Pattern Anal. Machine Intelligence 13 (1991) 478-482
[12]	C. Bouman, B. Liu, Multiple resolution segmentation of textured images, IEEE Trans. Pattern Anal. Machine Intelligence 13 (1991) 99-113
[13]	Canny, J.: ‘A computational approach to edge detection’, IEEE Trans. Patt. Anal. Mach. Intell., 8, (6), (1986) 679–698
[14]	Carreira-Perpinan, M.A.: Acceleration strategies for Gaussian mean-shift image segmentation. Proc. IEEE Conf. on Computer Vision Pattern Recognition,  vol. 1, (2006)1160–1167
[15]	Carreira-Perpinan, M.A.: Acceleration strategies for Gaussian mean-shift image segmentation. Proc. IEEE Conf. on Computer Vision Pattern Recognition,  vol. 1, (2006) 1160–1167
[16]	Chen, T.W., Chen, Y.L., Chien, S.Y.: Fast image segmentation based on K-means clustering with histograms in HSV color space. Proc. IEEE Int. Workshop on Multimedia Signal Processing, October (2008) 322–325
[17]	Cheng, Y.: ‘Mean shift, mode seeking, and clustering’, IEEE Trans.Patt. Anal. Mach. Intell., 1995, 17, (8),  (1995) 790–799
[18]	Comaniciu, D., Meer, P.: ‘Mean shift: a robust approach toward feature space analysis’, IEEE Trans. Patt. Anal. Mach. Intell., 24, (5),  (2002) 603–619
[19]	Cour, T., Benezit, F., Shi, J.: ‘‘Spectral segmentation with Multiscale graph decomposition’‘. Proc. IEEE Conf. on Computer Vision Pattern Recognition, vol. 2, (2005) 1124–1131
[20]	Cui.Y, Dong.H, Zhou.E.Z, “An Early Fire Detection Method Based on Smoke Texture Analysis and Discrimination”, Journal Congress on Image and Sig. Proc., (2008), 95–99.
[21]	Cula.O.G and Dana.K.J, 3D texture recognition using bidirectional feature histograms, in Int. Journal Comp. Vis., vol.59, (2004 )33–60
[22]	D.K. Panjwani, G. Healey, “Markov random field models for unsupervised segmentation of textured color images”, IEEE Trans. Pattern Anal. Machine Intelligence, 17 (1995), 939-954
[23]	Delon, J., Desolneux, A., Lisani, J.L., Petro, A.B.: ‘A nonparametric approach for histogram segmentation’, IEEE Trans. Image Process., 16, (1),  (2007) 253–261.
[24]	Donald.A, Adjeroh and UmasankarKandaswamy, “Texton-based segmentation of retinal vessels”, Journal of Optical Society of America , vol. 24, no. 5,(2007)  1384–1393
[25]	Duda, R.O., Hart, P.E.: ‘Pattern classification and scene analysis’, (Wiley, 1973).
[26]	F.S. Cohen, Z. Fan, Maximum likelihood unsupervised textured image segmentation, CVGIP: Graphical Models and Image Processing 54 (1992) 239-251
[27]	Ghamisi, P., Couceiro, M.S., Benediktsson, J.A., Ferreira, N.M.: ‘‘An efficient method for segmentation of images based on fractional calculus and natural selection’‘, Expert Syst. 39, (16), (2012)12407–12417.
[28]	Glasbey, C.A.: ‘An analysis of histogram-based thresholding algorithms’, Comput. Vis. Graph. Image Process., 55, (6),  (1993) 532–537
[29]	H. D. Cheng and Y. Sun, “A hierarchical approach to color image segmentation using homogeneity”, IEEE Transaction on Image Processing, vol. 9, no. 12, 2000 (2071- 2082)
[30]	H. Greenspan, R. Goodman, R. Chellappa, C.H. Anderson, “Learning texture discrimination rules in a multiresolution system”, IEEE Trans. Pattern Anal. Machine Intelligence 16 (1994) 894-901
[31]	H. Seddik and E. Ben Braiek “Color Medical Images Watermarking, Based Neural Network Segmentation “GVIP Journal Special Special Issue on (Medical Image Processing), (2006) 81-86
[32]	http://wang.ist.psu.edu/docs/related/
[33]	http://www.imageprocessingplace.com/root_files_V3/image_databases.html.
[34]	http://www.ux.uis.no/~tranden/brodatz.html
[35]	Huang, S.H., Chu, Y.H., Lai, S.H., Novak, C.L.: ‘‘Learning-based vertebra detection and iterative normalized-cut segmentation for spinal MRI’‘, IEEE Trans. Med. Imag., 28, (8), (2009) 1595–1605
[36]	Idrissisidiyassine, Samir belfkih, "Texture image segmentation using a new descriptor and mathematical morphology”, in Int. Arab Journal of Information Technology, Vol.10, No.2, (2013)  204-208
[37]	J. Mao, A.K. Jain, “Texture classification and segmentation using multi resolution simultaneous autoregressive models”, Pattern Recognition 25 (1992) 173-188
[38]	. Serra, Image Analysis and Mathematical Morphology. London, U.K.: Academic, 1982
[39]	J.F. Silverman, D.B. Cooper, Bayesian clustering for un-supervised estimation of surface and texture models, IEEE Trans. Pattern Anal. Machine Intelligence 10 (1988) 482-495
[40]	J.H.Jaseema Yasmin1, D. Muhammad Noorul Mubarak2 , M.MohamedSathik 3, Border Detection of Noisy Skin Lesions by Improved Iterative Se]gmentation Algorithm using LOG Edge Detector ,  ICGST-GVIP Journal, Vol. 12 ( 2),  (2012) 56-64
[41]	J.L. Chen, A. Kundu, Unsupervised texture segmentation using multichannel decomposition and hidden Markov models, IEEE Trans. Image Processing, 4 (1995), 603-619
[42]	.Y. Hsiao, A.A. Sawchuk, “Unsupervised texture image segmentation using feature smoothing and probabilistic relaxation techniques”, Computer Vision Graphics Image Processing 48 (1989) 1-21
[43]	Jähne, B.: ‘Practical handbook on image processing for scientific and technical applications’ (CRC Press, 2004, 2nd Ed.), Ch. 15
[44]	Kekre.H.B,  SayleeGharge, "Texture Based Segmentation using Statistical Properties for Mammographic Images”, Int. Journal of Advanced Computer Science and Applications(IJACSA),  Vol. 1, No. 5, (2010) 102-107
[45]	Otsu, N.: ‘A threshold selection method from gray-level histograms’, IEEE Trans. Syst., Man, Cybern., 9, (1), (1979) 62–66. 

[1] M. Mulazzani, S. Schrittwieser, M. Leithner, and M. Huber, “Dark clouds on the horizon: using cloud storage as an attack vector and online slack space,” Proc. USENIX Conference on Security, 2011.
[2] Meister, D., Brinkmann, A.: Multi-level comparison of data deduplication in a backup scenario. In: SYSTOR ’09, New York, NY, USA, ACM (2009) 8:1–8:12 
[3] Mandagere, N., Zhou, P., Smith, M.A., Uttamchandani, S.: Demystifying data deduplication. In: Middleware ’08, New York, NY, USA, ACM (2008) 12–17 
[4] Aronovich, L., Asher, R., Bachmat, E., Bitner, H., Hirsch, M., Klein, S.T.: The design of a similarity based deduplication system. In: SYSTOR ’09. (2009) 6:1–6:14 
[5] Dutch, M., Freeman, L.: Understanding data de-duplication ratios. SNIA forum (2008) http://www.snia.org/sites/default/files/Understanding_Data_ Deduplication_Ratios-20080718.pdf. 
[6] Harnik, D., Margalit, O., Naor, D., Sotnikov, D., Vernik, G.: Estimation of deduplication ratios in large data sets. In: IEEE MSST ’12. (april 2012) 1 –11 
[7] Harnik, D., Pinkas, B., Shulman-Peleg, A.: Side channels in cloud services: Deduplication in cloud storage. Security Privacy, IEEE 8(6) (nov.-dec. 2010) 40 –47 
[8] Halevi, S., Harnik, D., Pinkas, B., Shulman-Peleg, A.: Proofs of ownership in remote storage systems. In: CCS ’11, New York, NY, USA, ACM (2011) 491–500 
[9] Di Pietro, R., Sorniotti, A.: Boosting efficiency and security in proof of ownership for deduplication. In: ASIACCS ’12, New York, NY, USA, ACM (2012) 81–82 
[10] Douceur, J.R., Adya, A., Bolosky, W.J., Simon, D., Theimer, M.: Reclaiming space from duplicate files in a serverless distributed file system. In: ICDCS ’02, Washington, DC, USA, IEEE Computer Society (2002) 617–632 
[11] Storer, M.W., Greenan, K., Long, D.D., Miller, E.L.: Secure data deduplication. In: StorageSS ’08, New York, NY, USA, ACM (2008) 1–10 
[12] Bellare, M., Keelveedhi, S., Ristenpart, T.: Message-locked encryption and secure deduplication. In: Advances in Cryptology–EUROCRYPT 2013. Springer 296–312 
[13]  Xu, J., Chang, E.C., Zhou, J.: Weak leakage-resilient client-side deduplication of encrypted data in cloud storage. In: 8th ACM SIGSAC symposium. 195–206 14. Bellare, M., Keelveedhi, S., Ristenpart, T.: DupLESS: server-aided encryption for deduplicated storage. In: 22nd USENIX conference on Security. (2013) 179–194

[1] McEvoy, N., Whitcombe, A.,. Structured Risk Analysis. International conference on infrastructure security, vol. 2437, Bristol , October 1-3, 88-103. 2002
[2] Elky, S., An Introduction to Information System Risk Management. SANS Institute InfoSec Reading Room.copyright©SANS Institute. 2006.
[3] Hamdani., Wardoyo, R., The Complexity Calculation for Group Decision Making Using TOPSIS Algorithm. Advances of Science and Technology for Society AIP Conf. Proc. 1755, 070007-1–070007-7; doi: 10.1063/1.4958502 Published by AIP Publishing. 978-0-7354-1413-6: 2016.
[4] M. Ölmez and U. Lindemann, Procedia Comput. Sci. 28, 130 :2014.
[5] I. Wegener, Complexity Theory (Exploring the Limits of Efficient Algorithms) (Springer-Verlag, Dortmund), pp. 1–380: 2005
[6] Sipser, Michael, Introduction to the Theory of Computation – Second Edition, Thomson Course Technology, Massachusetts : 2006.
[7] Meier, J.D., Mackman, A., Vasireddy, S., Dunner,M., Escamilla, S., Murukan, A.,. Improving web application security: Threats and Countermeasures. Microsoft Corporation.2003..

1.	J. Burke, D. Estrin, M. Hansen, A. Parker, N.Ramanathan, S. Reddy, and M. B. Srivastava,“Participatory sensing,” presented at the First Workshop World-Sensor-Web 4th ACM Conf.Embedded Netw. Sen. Syst., Boulder, CO, USA, Oct.2006.
2.	”The world in 2013: ICT Facts and Figures,” International Telecommunication Union. [Online]. Available: http://www.itu.int,2013. 
3.	 R. K. Ganti, N. Pham, H. Ahmadi, S. Nangia, and T. F.Abdelzaher, “GreenGPS: A participatory sensing fuelefficient maps application,” presented at the 8th Int.Conf. Mobile Syst., Appl. Serv., San Francisco, CA,USA, Jun. 2010.  
4.	 X. O. Wang, W. Cheng, P. Mohapatra, and T. Abdelzaher,”Adsense: Anonymous reputation and trust in participatory sensing,” presented at the 32nd IEEE Int. Conf. Comput. Commun., Turin, Italy, Apr. 2013.
5.	E. D. Cristofaro and C. Soriente,”Participatory privacy: Enabling privacy in participatory sensing,” IEEE Netw., vol. 27, no. 1, pp. 3236, Jan./Feb. 2013.
6.	R. Chen, I. E. Akkus, and P. Francis, ”SplitX: High-performance private analytics,” presented at the ACM Special Interest Group Data Commun., Hong Kong, China, Aug. 2013.
7.	 N. Xia, H. H. Song, Y. Liao, M. Iliofotou, A. Nucci, Z.-L. Zhang, and A. Kuzmanovic,”Mosaic: Quantifying privacy leakage in mobile networks,” presented at the ACM Special Interest Group on Data Commun., Hong Kong, China, Aug. 2013.
8.	S. Han, V. Liu, Q. Pu, S. Peter, T. Anderson, A. Krishnamurthy,and D. Wetherall, ”Expressive privacy control with pseudonyms”presented at the ACM Special Interest Group Data Commun., Hong Kong, China, Aug. 2013.
9.	N. Kumar, N. Chilamkurti, and J. J. Rodrigues,”Learning automatabasedopportunistic data aggregation and forwarding scheme for alert generation in vehicular ad hoc networks,”Comput. Commun., vol. 39, pp. 2232, 2014.
10.	N. Kumar, N. Chilamkurti, and J. J. Rodrigues,”Privacy-aware message exchanges for HumaNets,”Comput. Commun., vol. 39, pp. 2232, 2014.

11.	Participatory Sensing: Applications and Architecture Deborah Estrin University of California, Los Angeles  : http://www.cs.cornell.edu/~destrin/resources/conferences/2010-Estrin-participatory-sensing-mobisys.pdf

[1]	G. Tzanetakis, P. Cook, “Musical genre classification of audio signals”, IEEE Transactions on Speech and Audio Processing, Vol. 10, Issue 5, July 2002.
[2]	Chandsheng Xu, Mc Maddage, Xi Shao, Fang Cao, and Qi Tan, “Musical genre classification using support vector machines”, IEEE Proceedings of International Conference of Acoustics, Speech, and Signal Processing, Vol. 5, pp. V-429-32, 2003.
[3]	N. Scaringella, G. Zoia, and D. Mlynek, “Automatic genre classification of music content: a survey”, IEEE Signal Processing Magazine, Vol. 23, Issue 2, pp. 133–141, 2006.
[4]	Jan Wülfing and Martin Riedmiller, “Unsupervised learning of local features for music classification” ISMIR, pp. 139–144, 2012.
[5]	Sox.sourceforge.net. Sox - sound exchange— homepage, 2015.
[6]	http://marsyas.info/downloads/datasets.html

[1] Course materials in Post graduate Diploma in Business Management, New Delhi, 1993.
[2] Course materials, Executive Development programme, IIM Bangalore, 1995, course director Prof L Prasad.
[3] Course materials Management Development programme, XLRI, Jamshedpur and course director Prof Madan. 
[4] Course materials in Fellow Management Research Programme in Business Administration, MSPI, New Delhi, 1999.  
[5] Paper by Dr. Porag Kalita, UGC sponsored National in Nalbari commerce College Assam,
[6] Course material by National Council of Labours Management, Chennai.1993.
[7] Paper by Dr. Porag Kalita, NAAC sponsored national seminar, J B College, Assam, India
[8] Course materials in IIPM, Kolkata in workshop on Total Productive Maintenance, 1997.                                                        

[1] P. Laxmikanth, Mr. L. Surendra, Dr. D. Venkata Ratnam, S. Susrutha babu, Suparshya babu “ Enhancing the performance of AOA  estimation  in wireless communication using the MUSIC algorithm” SPACES-2015, Dept of ECE, K L UNIVERSITY.

[2] AndyVesa,Arpad lozsa “Direction of Arrival estimation for uniform sensor arrays” Electronics and Telecommunications(ISETC),  9th International Symposium on Electronics and Telecommunications 2010.

[3] Wing-KinMa, Tsung-HanHseih, Chong-Yung Chi “DOA estimation of quasi-stationary signals via Khatri-Rao subspace”, 2009, IEEE International Conference on Accoustics,speech and signal processing.

 [4] Yue Ivan Wu, Gerald Pacaba Arada, Kainam Thomas Wong “Electromagnetic coupling matrix modeling and ESPRIT-based direction finding –A case study using a uniform linear array of identical dipoles” 2009, IEEE International Conference on Acoustics, speech and signal processing.

 [5] H. L. Van Trees, Optimum Array Processing – Part IV of Detection, Estimation and Modulation Theory. Wiley-Interscience, 2002.

[6] D. T. Vu, A. Renaux, R. Boyer, and S. Marcos, “Some results on the weiss–weinstein bound for conditional and unconditional signal models in array processing,” Elsevier Signal Processing, vol. 95, no. 0, pp. 126 – 148, 2014.

[7] A. Renaux, P. Forster, P. Larzabal, C. D. Richmond, and A. Nehorai,“A fresh look at the bayesian bounds of the weiss-weinstein family,”Signal Processing, IEEE Transactions on, vol. 56, no. 11, pp. 5334 – 5352, November 2008.


[8] P. Stoica and B. Ng, “On the cramer-rao bound under parametric constraints,” IEEE Signal Processing Letters, vol. 5, no. 7, pp. 177 – 179, July 1998.

[9] T. J. Moore Jr., “A theory of cram´er-rao bounds for constrained parametric model,” Ph.D. dissertation, University of Maryland, College Park,Department of Mathematics, College Park, Maryland, USA, 2010.

[10] Y.-H. Li and P.-C. Yeh, “An interpretation of the moore-penrose generalized inverse of a singular fisher information matrix,” IEEE Transactions on Signal Processing, vol. 60, no. 10, pp. 5532 – 5536, October 2012.

[11] F. R¨omer and M. Haardt, “Deterministic cram´er-rao bounds for strict sense non-circular sources,” in International ITG/IEEE Workshop on Smart Antennas (WSA), February 2007.

[12] D. Schulz and R. S. Thom¨a, “Search-based MUSIC techniques for2D DoA estimation using EADF and real antenna arrays,” in 17th International ITG Workshop on Smart Antennas 2013 (WSA 2013), Stuttgart, Germany, 03 2013.

[13] M. Landmann, “Limitations of experimental channel characterisation,”Ph.D. dissertation, Ilmenau University of Technology, Electronic Measurement Research Laboratory, Ilmenau, Germany, 2007.

[14] M. Landmann, M. K¨aske, and R. Thom¨a, “Impact of incomplete and inaccurate data models on high resolution parameter estimation in multidimensional channel sounding,” IEEE Transactions on Antennas and Propagation, vol. 60, no. 2, pp. 557 – 573, February 2012.

[15] M. Landmann, A. Richter, and R. Thom¨a, “DoA resolution limits in MIMO channel sounding,” in IEEE Antennas and Propagation Society International Symposium, vol. 2, June 2004, pp. 1708 – 1711.

[16] Y. Tian and Y. Takane, “More on generalized inverses of partitioned matrices with banachiewicz–schur forms,” Linear Algebra and its Applications,vol. 7430, no. 5–6, pp. 1641 – 1655, 2009.

[17] Foutz, Jeffrey, Andreas Spanias, and Mahesh K. Banavar. ”Narrowbanddirection of arrival estimation for antenna arrays.” Synthesis Lectures on Antennas 3.1 (2008): 1-76.

 [18] Lau, C.K.E.; Adve, R.S.; Sarkar, T.K., ”Combined CDMA and matrix pencil direction of arrival estimation,” Vehicular Technology Conference, 2002. Proceedings. VTC 2002-Fall. 2002 IEEE 56th , vol.1, no.,pp.496,499 vol.1, 2002.

[19] Marot, J.; Fossati, C.; Bourennane, S., ”Fast subspace-based source localization methods,” Sensor Array and Multichannel Signal Processing Workshop, 2008. SAM 2008. 5th IEEE , vol., no., pp.203,206, 21-23 July 2008.
[20] Khmou, Y.; Safi, S., ”DOA estimation with fourth order propagator,”Multimedia Computing and Systems (ICMCS), 2014 International Conference on , vol., no., pp.1295,1300, 14-16 April 2014.

1)	Landis, SH., Murray, T., Bolden, S. and Wing, P.A., (1998). Cancer statistics, 1998. CA. Cancer J. Clin. 48: 6-29.
2)	Jemal, A., Tiwari, R.C., Murray, T., Ghafoor, A., Samuels, A., Ward, E., Feuer, E. J. and Thun, M. J. (2004). Cancer statistics. CA. Cancer J. Clin. 54: 8-29.
3)	Reagan-Shaw, S. and Ahmad, N., (2005). Silencing of polo-like kinase (Plk) 1 via siRNA causes induction of apoptosis and impairment of mitosis machinery in human prostate cancer cells: implications for the treatment of prostate cancer. FASEB. J. 19: 611-613.
4)	Talcott, J.A., Rieker, P., Clark, J.A., Propert, K.J., Weeks, J.C., Beard, C.J., Wishnow, K.I., Kaplan, I., Loughlin, K.R., Richie, J.P. and Kantoff, P.W. (1998). Patient-reported symptoms after primary therapy for early prostate cancer: Results of a prospective cohort study. J. Clin. Oncol. 16: 275-283.
5)	Quinn, M. and Babb, P. (2002). Patterns and trends in prostate cancer incidence, survival, prevalence and mortality. Part I: International comparisons. BJU. Int. 90: 162-164.
6)	Herbert, J.R., Ghumare, S.S. and Gupta, P.C. (2006). Stage at diagnosis and relative differences in breast and prostrate cancer incidence in India: Comparison with the United States. Asian. Pac. J. Cancer. Prev. 7: 547-555.
7)	Daskivich, T.J. and Oh, W.K. (2006). Failure of gonadotropin-releasing hormone agonists with and without sterile abscess formation at depot sites: insight into mechanisms? Urology 67: 15-17.
8)	Gallagher, E. and Gapstur, R. (2006). Hormone-refractory prostrate cancer : A shifting paradigm in treatment. Clin. J. Oncol. Nurs. 10: 233-240.
9)	Golsteyn, R.M., Schultz, S.J., Bartek, J., Ziemiecki, A., Ried, T. and Nigg, E.A. (1994). Cell cycle analysis and chromosomal localization of human Plk1, a putative homologue of the mitotic kinases Drosophila polo and Saccharomyces cerevisiae Cdc5. J. Cell Sci. 107: 1509-1517.
10)	Glover, D.M., Hagan, I.M. and Tavares, A.A. (1998). Polo-like kinases: A team that plays throughout mitosis. Genes Dev. 12: 3777-3787.
11)	Donaldson, M.M., Tavares, A.A., Ohkura, H., Deak, P. and Glover, D.M., (2001b). Metaphase arrest with centromere separation in polo mutants of Drosophila. J. Cell Biol. 153: 663-676.
12)	Lane, H.A. and Nigg, E.A. (1996). Antibody microinjection reveals an essential role for human polo-like kinase 1 (Plk1) in the functional maturation of mitotic centrosomes. J. Cell Biol. 135(6 Pt 2): 1701-1713.
13)	Alexandru, G., Uhlmann, F., Mechtler, K., Poupart, M. A. and Nasmyth, K. (2001). Phosphorylation of the cohesin subunit Scc1 by Polo/Cdc5 kinase regulates sister chromatid separation in yeast. Cell. 105:  459-472.
14)	Sumara, I., Vorlaufer, E., Stukenberg, P.T., Kelm, O., Redemann, N., Nigg, E.A. and Peters, J.M. (2002). The dissociation of cohesin from chromosomes in prophase is regulated by polo-like kinase. Mol. Cell 9: 515-525.
15)	Lansing,T.J., McConnell, R.T., Duckett, D.R., Spehar, G.M., Knick, V.B., Hassler, D.F., Noro, N., Furuta, M., Emmitte, K.A. and Gilmer, T.M. (2007). In vitro biological activity of a novel small-molecule inhibitor of polo-like kinase 1. Mol. Cancer Ther.  6: 450-459.
16)	van Vugt, M.A., Bras, A. and Medema, R.H. (2004a). Polo-like kinase-1 controls recovery from a G2 DNA damage-induced arrest in mammalian cells. Mol. Cell. 15: 799-811.
17)	van Vugt, M.A., van de Weerdt, B.C., Vader, G., Janssen, H., Calafat, J., Klompmaker, R., Wolthuis, R.M. and Medema, R.H. (2004b). Polo-like kinase-1 is required for bipolar spindle formation but is dispensable for anaphase promoting complex/Cdc20 activation and initiation of cytokinesis. J. Biol. Chem. 279: 36841-36854.
18)	McInnes, C., Mezna, M. and Fischer, P.M. (2005). Progress in the discoveryof polo-like kinase inhibitors. Curr. Top. Med. Chem. 5: 181-197. 
19)	McInnes, C., Mazumdar, A., Mezna, M., Meades, C., Midgley, C., Scaerou, F., Carpenter, L., Mackenzie, M., Taylor, P. and Walkinshaw, M. (2006). Inhibitors of Polo-like kinase reveal roles in spindle-pole maintenance. Nat. Chem. Biol. 2(11): 608-617.
20)	Seong, Y.S., Kamijo, K., Lee, J.S., Fernandez, E., Kuriyama, R., Miki, T. and Lee, K.S. (2002). A spindle checkpoint arrest and a cytokinesis failure by the dominant-negative polo-box domain of Plk1 in U-2 OS cells. J. Biol. Chem. 277(35): 32282-32293.
21)	Leung, G.C., Hudson, J.W., Kozarova, A., Davidson, A., Dennis, J.W. and Sicheri, F. (2002). The Sak polo-box comprises a structural domain sufficient for mitotic subcellular localization. Nat. Struct. Biol. 9: 719-724.
22)	Golsteyn, R.M., Mundt, K.E., Fry, A.M. and Nigg, E.A. (1995). Cell cycle regulation of the activity and subcellular localization of Plk1, a human protein kinase implicated in mitotic spindle function. J. Cell Biol. 129(6): 1617-1628.
23)	Hamanaka, R., Smith, M.R., O'Connor, P.M., Maloid, S., Mihalic, K., Spivak, J.L., Longo, D.L. and Ferris, D.K. (1995). Polo-like kinase is a cell cycle-regulated kinase activated during mitosis. J. Biol. Chem. 270(36): 21086-21091.
24)	Hamanaka, R., Maloid, S., Smith, M.R., O'Connell, C.D., Longo, D.L. Ferris, D.K. (1994). Cloning and characterization of human and murine homologues of the Drosophila polo serine-threonine kinase. Cell. Growth. Differ. 5(3): 249-257.
25)	Holtrich, U., Wolf, G., Brauninger, A., Karn, T., Bohme, B., Rubsamen-Waigmann, H. and Strebhardt, K. (1994). Induction and down-regulation of PLK, a human serine/threonine kinase expressed in proliferating cells and tumors. Proc. Natl. Acad. Sci. USA. 91: 1736- 1740.
26)	Smith, M.R., Wilson, M.L. and Hamanaka, R. (1997). Malignant transformation of mammalian cells initiated by constitutive expression of the polo-like kinase. Biochem. Biophys. Res. Commun. 234: 397-405.
27)	Zhang, C., Pei, J., Kumar, D., Sakabe, I., Boudreau, H.E., Gokhale, P.C. and Kasid, U.N. (2007). Antisense oligonucleotides: target validation and development of systemically delivered therapeutic nanoparticles. Methods. Mol. Biol. 361:163-185.
28)	Spänkuch, B., Steinhauser, I., Wartlick, H., Kurunci-Csacsko, E., Strebhardt, K.I., Langer, K. (2008). Downregulation of Plk1 expression by receptor mediated uptake of antisense oligonucleotide-loaded nanoparticles. Neoplasia 10(3): 223-234.
29)	Sui, G., Soohoo, C., Affar, B., Gay, F., Shi, Y. and Forrester, W.C. (2002). A DNA vector-based RNAi technology to suppress gene expression in mammalian cells. Proc. Natl. Acad. Sci. USA. 99: 5515-5520. 

1)	Miyoung jang; Min Yoon; Jae-Woo chang, paper entitled as “A Privacy-aware query authentication index for database outsourcing” IEEE conference publications 2014. 

2)	Wenjun Lu ; Google, Mountain View, CA, USA; Varna, A.L. ; Min Wu,”Confidentiality-Preserving Image Search: A Comparative Study between Homomorphic Encryption and Distance-Preserving Randomization”, IEEE transactions on volume 2 – 2014.

3)	Velciu, M.-A. ; Comput. Sci. Dept, Mil. Tech. Acad., Bucharest, Romania; Patrascu, A. ; Patriciu, V.-V, “Bio-cryptographic authentication in cloud storage sharing”, Applied Computational Intelligence and Informatics (SACI), 2014 IEEE 9th International Symposium on – 2014.

4)	Poornima, B. ; Rajendran, T, “Improving Cloud Security by Enhanced HASBE Using Hybrid Encryption Scheme”, Computing and Communication Technologies (WCCCT), 2014 World Congress on march-14.

5)	Durrani, A, “Analysis and prevention of vulnerabilities in cloud applications”, Information Assurance and Cyber Security (CIACS), 2014 IEEE Conference on 2014.

6)	Chang Liu ; Fac. of Eng. & IT, Univ. of Tech., Sydney, NSW, Australia and  more authors “Authorized Public Auditing of Dynamic Big Data Storage on Cloud with Efficient Verifiable Fine-Grained Updates Parallel and Distributed Systems”, IEEE Transactions on  cloud computing - 2014.

7)	Hussain, M. ; Dept. of Interdiscipl. Studies, Zayed Univ. Dubai, “Effective Third Party Auditing in Cloud Computing”, Advanced Information Networking and Applications Workshops (WAINA), 28th International Conference on  13-16 May 2014.

8)	Vikas Saxena, et al “Implementation of a secure genome sequence search platform on public cloud-leveraging open source solutions”, Journal of Cloud Computing: Advances, Systems and Applications 2014.

[1] Dalton, John, ―Extraordinary Facts Relating to the Vision of Colour‖, London: Cadel and Davins,. 1798, pp. 28–45. 
[2] G. M. Machodo, ―A Physiologically-based Model for Simulation of Color Vision Deficiency‖ IEEE Transaction on Visual and Computer Graphics Vol. 15. No 6. 2009, pp. 1291-1298 
 [3] G. M. Machodo, Manuel. M. Oliveira.―A Model for Simulation of Color Vision Deficiency and A Color Contrast Enhancement Technique for Dichromats‖, pp. 74, 2010
[4] V.Kanhangad, A.Kumar,and D.Zhang, "Contactless and pose invariant biometric identification using hand surface,"IEEE Trans, Image Process,, vol. 6, no. 3, pp. 1415-1424, May 2011
[5] The Hong Kong Polytechnic University (2015), Implementation Codes for 3D Palmprint Matching.
[6] W.L Li, L. Zhang, and D. Zhang, "Three dimensional palmprint recognition,"in Proc, IEEE Int.Conf.Syst., Main Cybern..,  Oct 2009, pp. 4847-4852.
[7] P. Rajavel, “Image Dependent Brightness Preserving Histogram Equalization”, IEEE Transactions on Consumer Electronics, Vol. 56, No. 2, May 2010
[8]. Yeong-Taeg Kim, “Contrast enhancement using brightness preserving bi-histogram equalization,” IEEE Transactions on Consumer Electronics, vol. 43, no. 1, pp. 1-8, Feb. 1997.
[9]. Soong-Der Chen and Abd. Rahman Ramli, “Contrast enhancement using recursive mean-separate histogram equalization for scalable brightness preservation,” IEEE Transactions on Consumer Electronics, vol. 49, no. 4, pp. 1301- 1309, Nov. 2003.
[10] Ronald Azuma, Yohan Baillot, Reinhold Behringer, "Recent Advances in Augmented Reality" , Computers & Graphics, November 2001.
 [11] Avery, B., Thomas, B., and Piekarski, W, "User Evaluation of See-Through Vision for Mobile Outdoor Augmented Reality.", In 7th Int'l Symposium on Mixed and Augmented Reality. pp 69-72. Cambridge, UK. Sep 2008. 
[12] Feng Zhou ; Duh,H.B.-L. ; Billinghurst, M. "Trends in augmented reality tracking, interaction and display" A review of ten years of ISMAR  Mixed and Augmented  Reality 2008. ISMAR 2008. 7th IEEE/ACM International. 

[1] N. Mohan, T.M.Undeland, W.P.Robbins, “Power Electronic-Converters, Applications and Design", Second edition, John Wiley & Sons Inc., 1995.

[2]   O. Lucía, O. Jiménez, L. A. Barragán, I. Urriza, J. M
Burdío and D. Navarro, "System-on-programmable-           chip-based versatile modulation architecture applied to domestic induction heating," Industrial electronics, 2009. IECON '09. 35th Annual Conference of IEEE, Porto, 2009, pp. 2880-2885

[3] N. S. Bayindir, O. Kukrer and M. Yakup, "DSP-based PLL-controlled 50-100 kHz 20 kW high-frequency induction heating system for surface hardening and  welding applications," in IEE Proceedings – Electric Power Applications, vol. 150, no. 3, pp. 365-371,May 2003.

[4] J. Martis and P. Vorel, "Apparatus for induction heating 2.5 kW using a series resonant circuit," Mechatronics - Mechatronika (ME), 2014 16th International Conference on, Brno, 2014, pp. 130-135.

[5] T. Mishima, C. Takami and M. Nakaoka, "A New          Current Phasor-Controlled ZVS Twin Half-Bridge High-Frequency Resonant Inverter for Induction  Heating," in IEEE Transactions on Industrial Electronics, vol. 61, no. 5, pp. 2531-2545,May2014.

[6]   A. Amrhein and J. S. J. Lai, "A transformer-coupled,          Series-resonant topology for the induction heating of          aluminum cookware," 2015 9th International          Conference on Power Electronics and ECCE Asia          (ICPE-ECCE Asia), Seoul, 2015, pp. 1234-1239.

[7]   B. Saha and R. Y. Kim, "High Power Density Series          Resonant Inverter Using an Auxiliary Switched           Capacitor Cell for Induction Heating Applications,” In IEEE Transactions on Power Electronics, vol. 29   No. 4, pp. 1909-1918,April2014.

 [8] V. Esteveet al., "Improving the Reliability of             Series Resonant Inverters for Induction Heating             Applications," in IEEE Transactions on Industrial             Electronics, vol. 61, no. 5, pp. 2564-2572, May 2014. 

1.	Annual Report on ‘Road Accidents in India – 2015’, Transport Research Wing, Ministry of Road Transport and Highways, Government of India, New Delhi.

2.	Status Report on ‘Road Safety in India – 2015’, Transportation Research & Injury Prevention Programme (TRIPP), Indian Institute of Technology, New Delhi.

3.	Nitin Agarwal, Anshul Kumar Singh, Pushpendra Pratap Singh, Rajesh Sahani, Smart Helmet, International Journal of Engg. & Technology (IRJET) Vol. 2 Issue 2 ISSN (Online): 2395‐0056 (Print): 2395-0072 (May 2015).

4.	Manjesh N, Prof. 	Sudarshan Raju C H, Safety measures for two wheelers by Smart Helmet, International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 National Conference on Developments, Advances & Trends in Engineering Sciences (NCDATES), 09th & 10th January 2015.

5.	Amitava Das, Priti Das, Soumitra Goswami, Smart Helmet For Indian Bike Riders, Eleventh IRF International Conference, ISBN: 978-93-84209-47-6, 17th August 2014, Chennai, India.

6.	Ravi Nandu and Kuldeep Singh, Smart Helmet For Two-Wheelers, Advances in Automobile Engineering, ISSN: 2167-7670, Vol. 3 Issue 2, Department of Automobile Engineering, SRM University, Kattankulathur, Chennai, India.

7.	Manasi Penta, Monali Jadhav and Priyanka Girme, Bike Rider’s Safety Using Helmet, International Journal of Electrical Electronic Engineering and Telecommunications (IJEETC) ISSN: 2319-2518, Vol. 4, No. 2, Department of Electronics and Telecommunication, Dr. D Y Patil Technical Campus, Charoli (BK), Pune, India. 

[1].	Al Agha K., Pujolle G., Vivier G., “Reseaux de mobiles et reseaux sans fil“, 2nd edition, Eyrolles, 2005. 
[2].	Basagni S., Chlamtac I., Syrotiuk V. R., Woodward B. A., “A Distance Routing Effect Algorithm for Mobility (DREAM)”, In Proceedings ACM/IEEE Mobicom, pages 76-84, October 1998.   
[3].	Camp, T., Boleng, J., Williams, B., Wilcox, L., Navidi, W.,  “Performance comparison of two location based routing protocols for ad hoc networks”, INFOCOM 2002, Twenty-First Annual joint conference of the IEEE Computer and Communications Societies, Proceedings, IEEE, Volume. 3, 2002,  pp. 1678 –168. 
[4].	Clausen T., Jacquet P., Viennot L., “Comparative Study of Routing Protocols for Mobile Ad hoc Networks”, Med-Hoc-Net’02, Sardegna, Italy, September 2002. 

[5].	Daniel Camara, Antonio Alfredo F. Loureiro, “A Novel Routing Algorithm for Hoc Networks”, Baltzer Journal of Telecommunications Systems, 18:1-3, Kluwer Academic Publishers, 2001, pp. 85-100.    
[6].	DiCaro G., Dorigo M., “Ant Colonies for Adaptive Routing in Packet-Switched Communications Networks”, Proceedings PPSN V - Fifth International Conference on Parallel Problem Solving from Nature, Amsterdam, Holland, September 27-30, 1998, pp. 673-682.    
[7].	Gerharz M.L, De Waal C., Frank M., Martini P., “Link Stability in Mobile Wireless Ad Hoc Networks”, Proceedings of the 27th Annual IEEE Conference on Local Computer Networks (LCN), Tampa, Florida, November 2002.  
[8].	Gunes M., Sorges U., Bouazisi I., “ARA - the Ant Colony Based routing Algorithm for MANETs”, Proceedings ICPP Workshop on Ad hoc Networks, Vancouver, Canada, 2002, pp. 7985.  
[9].	Heusse M., Snyers D., Guérin S., Kuntz P., "Adaptive agent-driven routing and load balancing in communication network", Proceedings ANTS'98,First International Workshop on Ant Colony Optimization, Brussels, Belgium, October 15-16, 1998.   
[10].	Iwata A., Chiang C.-C., Pei G., Gerla M., Chen T.-W., "Scalable Routing Strategies for Ad Hoc Wireless Networks", IEEE Journal on Selected Areas in Communications, Special Issue on Ad-Hoc Networks, Aug. 1999, pp.1369-1379.   
[11].	Jacquet, Paul Muhlethaler, Amir Qayyum, Anis Laouiti, Laurent Viennot, Thomas Clausen, “Optimized Link State Routing Protocol”, Internet Draft, draft-ietf-manet-olsr-04.txt, work in progress, June 2001.   
[12].	Jagannathan Sarangapani, “Wireless Ad Hoc and Sensor Networks Protocols”, Performance, and Control”, Taylor & Francis Group, LLC, 2007. 
[13].	Jiang M., Li J., Tay Y. C., “Cluster Based Routing Protocol (CBRP)”, Functional Specification Internet Draft, draft-ietf-manet-cbrp.txt, work in progress, June 1999. 
[14].	Jinyang Li, John Janotti, Douglas S. J. De Coutu, David R. Karger, Robert Morris. “A Scalable Location Service for Geographic Ad Hoc Routing”, M.I.T. Laboratory for Computer Science.   
[15].	Johnson D., Maltz D., Y-C. Hu, Jetcheva J., “The Dynamic Source Routing Protocol for Mobile Ad Hoc Networks”, Internet Draft, draft-ietf-manet-dsr-09.txt, work in progress, April 2003. 
[16].	Ko Y.-B., V. N. H. “Location-Aided Routing in mobile Ad hoc networks”, In Proceeding ACM/IEEE Mobicom, October 1998, pp. 66-75. 
[17].	Mesut Gunes et. al, “ARA - the ant-colony based routing algorithm for MANETs”, In Stephan Olariu, Proceedings of the 2002 ICPP Workshop on Ad Hoc Networks (IWAHN 2002), IEEE Computer Society Press, August 2002, pp. 79-85. 
[18].	Navid Nikaein, Christian Bonnet, Neda Nikaein. “Hybrid Ad Hoc Routing Protocol – HARP”, proceeding of IST 2001: International Symposium on Telecommunications.  
[19].	Park V., Corson S., ”TORA (Temporally-Ordered Routing Algorithm routing protocol)”,  Internet Draft, draft-IETF-MANET-TORA-spec- 03.txt, work in progress, June 2001. 
[20].	Perkins C., Royer E., Das S., “Ad hoc On-demand Distance Vector (AODV) Routing”, Internet Draft, draft-ietf-manet-aodv-11.txt, work in progress, Aug 2002. 
[21].	Perkins C. E., Bhagwat P., “Highly Dynamic Destination-Sequenced Distance Vector (DSDV) for Mobile Computers”, Proceedings of the SIGCOMM 1994 Conference on Communications Architectures, Protocols and Applications, Aug 1994, pp 234-244.  
[22].	Siva Ram Nurthy C.,  Manoj B.S., “Ad hoc wireless networks Architectures and Protocols”, le Prentice Hall, 2004. 
[23].	Sridhar K. N., Lillykutty J., Rajeev S., “Performance Evaluation and Enhancement of Link Stability Based Routing for MANETs”, lst International Workshop on Mobile and Wireless Networking (MWN 2004), Montreal, Quebec, Canada, August 15, 2004.    
[24].	Tsu-Wei Chen, Mario Gerla, "Global State Routing: A New Routing Scheme for Ad hoc Wireless Networks", Proceedings IEEE ICC'98.   
[25].	White T., "Swarm intelligence and problem solving in telecommunications", Canadian Artificial Intelligence Magazine, Spring, 1997.    
[26].	White T., "Routing with swarm intelligence", Technical Report SCE-97-15, Systems and Computer Engineering Department, Carleton University, September, 1997.    
[27].	Zygmunt J. Haas, Marc R. Pearlman, Prince Samar, “The Bordercast Resolution Protocol (BRP)”, Internet Draft, draft- ietf-manet-zone-zrp-04.txt, work in progress, July 2002. 

1] Chen, M.S., Han,J.and Yu,P.S. 1996 Data mining – An overview from database perspective, IEEE Transaction on knowledge and data engineering 8 , 866-883
[2] Alm, E. and Arkin, A.P. 2003. Biological Networks, Current Opinion in Structural Biology 13(2), 193– 202.
[3] Nijssen, S. and Kok, J., Faster association rules for multiple relations. In IJCAI’01:  Seventeenth International Joint Conference on Artificial Intelligence, 2001, vol. 2, pp. 891–896.
[4] Chuntao Jiang, Frans Coenen and Michele Zito, A Survey of Frequent Sub-graph Mining Algorithms:The Knowledge Engineering Review, Vol. 00:0, 1–31.c 2004.
[5] A. Inokuchi, T.Washio, and H. Motoda. An apriori-based algorithm for mining frequent substructures from graph data. In PKDD’00.
[6] J. Huan, W.Wang, and J. Prins. Efficient mining of frequent subgraph in the presence of isomorphism. UNC computer science technique report TR03-021, 2003.  
[7] J. Huan, W. Wang, J. Prins, and J. Yang. Spin: Mining maximal frequent sub-graphs from graph databases. UNC Technical Report TR04-018, 2004.  
[8] M. Kuramochi and G. Karypis. Grew-a scalable frequent subgraph discovery algorithm. In ICDM, pages 439–442,2004.
[9] ZhaonianZou, Jianzhong Li, Hong Gao, and Shuo Zhang : Frequent Subgraph Patterns from Uncertain Graph Data. IEEE Transactions On Knowledge And Data Engineering, Vol. 22, No. 9, September 2010.
[10] L. T. Thomas, S. R. Valluri, and K. Karlapalem. Margin:Maximal frequent subgraph mining. Proc. 6th IEEE Int’l Conf. Data mining (ICDM ’06), pp. 1097-1101, 2006.
[11] Inokuchi, A., Washio, T., Nishimura, K. and Motoda, H. 2002. A Fast Algorithm for Mining Frequent Connected Subgraphs, Technical Report RT0448, IBM Research, Tokyo Research Laboratory, Japan.
[12] Huan, J., Wang, W. and Prins, J. 2003. Efficient Mining of Frequent Subgraph in the Presence of Isomorphism, In Proceedings of the 2003 International Conference on Data Mining, 549-552.

[1]	 Dou, W., Ruan, S., Chen, Y., Bloyet, D., and Constans, J. M. (2007), “A framework of fuzzy information fusion for segmentation of brain tumor tissues on MR images”, Image and Vision Computing, 25:164–171. 
[2]	 T.Logeswari and M.Karnan, “An Improved Implementation of Brain Tumor Detection Using Segmentation Based on Hierarchical Self Organizing Map”, International Journal of Computer Theory and Engineering, Vol. 2, No. 4, August, 2010,pp.1793-8201. 
[3]	 R. Rajeswari and P. Anandhakumar, “Segmentation and Identification of Brain Tumor MRI Image with Radix4 FFT Techniques”, European Journal of Scientific Research, Vol.52 No.1 (2011), pp.100-109.
[4]	 S.Murugavalli, V.Rajamani, “A high speed parallel fuzzy c-mean algorithm for brain tumor segmentation”, ”BIME Journal”, Vol no: 06, Issue(1), Dec.,2006.
[5]	 Oelze, M.L,Zachary, J.F. , O'Brien, W.D., Jr., Differentiation of tumor types in vivo by scatterer property estimates and parametric images using ultrasound backscatter , on page(s) :1014 - 1017 Vol.1, 5-8 Oct. 2003. 
[6]	 T. Logeswari and M. Karnan, An improved implementation of brain tumor detection using segmentation based on soft computing, Second International Conference on Communication Software and Networks, 2010. ICCSN‟10.Page(s): 147-151. 
[7]	Devos, A, Lukas, L.,Does the combination of magnetic resonance imaging and spectroscopic imaging improve the classification of brain tumours?? On Page(s): 407 – 410, Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE, 1-5 Sept. 2004.
[8]	Mohammad Shajib Khadem, “MRI Brain image segmentation using graph cuts”, Master of Science Thesis in Communication Engineering, Department of Signals and Systems, Chalmers University Of Technology, Goteborg, Sweden, 2010. 

-NA-

[1]https://en.wikipedia.org/wiki/List_of_government_schemes_in_India, Wikipedia Portal.
[2]http://india.gov.in/my-government/schemes, A government of India Portal.
[3]http://blogs.reuters.com/india/2013/07/23/a-look-at-some-of-indias-cheap-food-schemes/
byAdityaKalra, July, 2013.

1)	N Van . Porz, "Multi-modalodal glioblastoma segmentation: Man versus machine", PLOS ONE, vol. 9, pp. e96873, 2014.
2)	S. Bauer, R. Wiest, L.-P. Nolte and M. Reyes, "A survey of MRI-based medical image analysis for brain tumor studies", Phys. Med. Biol., vol. 58, no. 13, pp. R97-R129, 2013.
3)	L. Weizman, "Automatic segmentation, internal classification, and follow-up of optic pathway gliomas in MRI", Med. Image Anal., vol. 16, no. 1, pp. 177-188, 2012.
4)	S. Ahmed, K. M. Iftekharuddin and A. Vossough, "Efficacy of texture, shape, and intensity feature fusion for posterior-fossa tumor segmentation in MRI", IEEE Trans. Inf. Technol. Biomed., vol. 15, no. 2, pp. 206-213, 2011.
5)	Jin Liu, Min Li, Jianxin Wang, Fangxiang Wu, Tianming Liu, and Yi Pan,A Survey of MRI-Based Brain Tumor Segmentation Methods, TSINGHUA SCIENCE AND TECHNOLOGY, Volume 19, Number 6, December 2014.
6)	J. B. T. M. Roerdink and A. Meijster, “The watershed transform: Definitions, lgorithms and parallelization strategies,” Fundamenta Informaticae,vol. 41, pp. 187–228, 2000.
7)	Gang Li , Improved watershed segmentation with optimal scale based on ordered dither halftone and mutual information, Page(s) 296 - 300, Computer Science and Information Technology (ICCSIT), 2010, 3rd IEEE International Conference, 9-11 July 2011.
8)	Benson. C. C, Deepa V, Lajish V. L and Kumar Rajamani, "Brain Tumor Segmentation from MR Brain Images using Improved Fuzzy c-Means Clustering and Watershed Algorithm",  Intl. Conference on Advances in Computing, Communications and Informatics (ICACCI), Sept. 21-24, 2016, Jaipur, India.
9)	L´aszl´o Szil´agyi,L´aszl´o Lefkovits and Bal´azs Beny´o, "Automatic Brain Tumor Segmentation in Multispectral MRI Volumes Using a Fuzzy c-Means Cascade Algorithm",  12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD),2015.
10)	G.-C. Lin, W.-J. Wang, C.-C. Kang and C.-M. Wang, Multispectral mr images segmentation based on fuzzy knowledge and modified seeded region growing, Magnetic Resonance Imaging, vol. 30, no. 2, pp. 230-246, 2012.
11)	NageswaraReddy P, C.P.V.N.J.Mohan Rao, Ch.Satyanarayana, Optimal Segmentation Framework for Detection of Brain Anomalies, I.J. Engineering and Manufacturing, 2016, 6, 26-37.

 [1]  L. A. Ogunsola Hezekiah, (2005) Information and Communication Technologies and the Effects of lobalization: Twenty-First Century "Digital Slavery" for Developing Countries--Myth or Reality? Electronic Journal of Academic and Special Librarianship, v.6 no.1-2 (Summer 2005).
 [2] Social networking service. https://en.wikipedia.org/wiki/Social_networking_service
[3]  Audu C, Internet availability and use by postgraduate students of University of Nigeria, Nsukka, Global Review of Library & Information Science 2: 3443. 2003
[4] Oketunji, L., Computer application to libraries. Compendium of papers. presented at the 39th National Annual Conference and AGM of Nigerian Library Association held at Concord Hotel, Owerri from 17th 22nd June: 812,. 2001.

1.	T.K Hareedran (2015) GSM home security system  with Arduino using GSM technology – An theft system http://www.electroschematics.com
2.	Ahmed, B.I, Yakubu, F.G Bagiwa, M.H and Abdullahi,U.I ( 2011), Remote Home management: An alternative for working cut home while way. World of computer science and information Technology Journal (WCSIT); 14144.147
3.	Jawarkar, N.P, M Ahmed, V Ladhake, S.A and Thakare, R.D (2008). Microcontroller based Remote monitoring using mobile through spoken commands. Journal of networks,3,2,58.63. Retrieved from http:// www. Academic publisher.com/ jnm/vol031/n002/jnw03025863.pdf
4.	Gwenael, L.Bodic (2005). Mobile messaging:SMS, EMS AND MMS
5.	Marie and Albert (1996) invention patent for a closed cicuit television security system.
6.	Sabudin, E.N., Zarina, M., Mohd, M.M., Abd Wahab, H., Johari, A. and Ghani, N.B. (2008). GSM based Notification speed Detection for Monitoring purposes. Proceeding of IEEE International Symposium of Information Technology. 

1.	Skysense Company - Charging Pad Datasheet 201601 
2.	Victor H. L. Cheng: Concept Development of Automatic Guidance for Rotorcraft Obstacle Avoidance. In: IEEE transactions on Robotics and Automation 6(2):252-257, (1990)
3.	George Vachtsevanos, Ben Ludington, Johan Reimann, Panos Antsaklis, Kimon Valavanis: Modeling and Control of Unmanned Aerial Vehicles– Current Status and Future Directions. In: Workshop on Modeling and Control of Complex Systems (MCCS), Ayia Napa, Cyprus, (2005)
4.	Ryan W. Proud, Jeremy J. Hart, Richard B. Mrozinski: Methods for Determining the Level of Autonomy to Design into a Human Spaceflight Vehicle: A Function Specific Approach. In: NASA Johnson Space Center. (2013)
5.	Pulkit Goyal, Ewoud Smeur and Guido de Croon: Mission Planning for Sensor Network Deployment using a Fleet of Drones. In: Delft University of Technology, Delft, Zuid-Holland, 2629 HS, The Netherlands. (2016)
6.	www.erlerobotics.com
7.	Erick Camacho, Marco Robaina, Alessandro Tasca, Pedre Cuberos, Ibrahim Tansel, Sabri Tosungolu: Collision Avoidance Protocol for package Delivering Quadcopters. In: Florida Conference on Recent Advances in Robotics (2015).
8.	https://oscarliang.com/how-to-choose-battery-for-quadcopter-multicopter/
9.	Video – drone wireless charging system (Youtube.com)
10.	Video – World's first home w_ drone charging station (Youtube.com).   

1.	Klemens Schwarzera , Maria Eugenia Vieira da Silva, ―Solar cooking system with or without heat storage for families and institutions, Solar energy 75 2003, 35–41
2.	Kassem, Talal K. and Youssef, M. S. Solar 
Cookers And Its Application For Food cooking In Remote Areas: Review
3.	Sharma, C. R. Chen, V. V. S. Murty, and A. Shukla― Solar cooker with Latent heat storage systems: a review, Renewable and Sustainable Reviews,Vol. 9, pp. 1599-1605, 2009. 
4.	Mohammadreza Sedighi1, Mostafa Zakariapour, ―A Review of Direct and Indirect Solar Cookers, Sustainable Energy, 2014, Vol. 2, No. 2, 44-51,2014.
5.	Lof GOG. Recent investigation in the use of solar energy for cooking. Solar Energy 1963;7:125–33
6.	R.M. Muthusivagami, R. Velraj , R. Sethumadhavan,―Solar cookers with And without thermal storage—A reviews , Renewable and Sustainable Energy Reviews 14, 691–701, 2010  
7.	Domanski R, El-Sebaii AA, Jaworski M. Cooking during off-sunshine hours using PCMs as storage media. Energy 1995;20:607–16
8.	Buddhi D, Sahoo LK. Solar cooker with latent heat storage: design and experimental testing. Energy Conversion and Management 1997;38:493–8 
9.	Sharma, S.D., Buddhi, D., Sawhney, R.L., Sharma, A., 2000. Design development and evaluation of a Latent heat unit for evening cooking in a solar cooker. Energy Conversion and Management 41, 1497– 1508.
10.	Sharma SD, Iwata T, Kitano H, Sagara K. Thermal performance of solar cooker based on an evacuated tube solar collector with a PCM storage unit. Solar Energy 2005;78:416–26
11.	Hussein HMS, El-Ghetany HH, Nada SA. Experimental investigation of novel indirect solar cooker with indoor PCM thermal storage and cooking unit. Energy Conversion and Management 2008; 49:2237– 46.
12.	R.M. Muthusivagami, R. Velraj and R. Sethumadhavan.“Solar cookers with and without thermal storage—A Review”, Renewable and Sustainable Energy Reviews, Vol. 14, pp. 691-701, 2009.
13.	Kedare et al. Solar Cooking through ARUN Solar Boiler and Solar Thermal. Ministry of New & Renewable Energy Government of India. ARUN®100 November 2014.
14.	Rane M V, Rane M M, Meena P M, Shankargouda S J, Bhave D P, Rane A M, Akshay P, 2014, Solar Collector with Absorber Integrated Heat Storage, Patent Application Number-2088-MUM-2014, 2014
15.	Rane M V, Rane M M, Meena P M, Shankargouda S J, Bhave D P, Rane A M, Akshay P, 2015, Solar Collector with Absorber Integrated Heat Storage, PCT Application Number-PCT-IN2015-0000269, PCT Filing Date: 29-06-2015, 2015a

1)	M. Dasgupta, D. J. Hinde, N. Rowley, A. M. Stefanini, Annu. Rev. Nucl. Part. Sci. 48, 401 (1998).
2)	P. D. Shildling et al., Physics Letter B 670, 99 (2008).
3)	E. Prasad et al., Physics Review C 81, 054608 (2010).
4)	J. O. Fernandez Niello et al., Physics Review C 43, 2303 (1991).
5)	M. J. Rhoades Brown, V. E. Oberacker, Physics Review Letter 50, 1435 (1983)
6)	I. Dutt, R. K. Puri, Physics Review C 81, 064608 (2010)
7)	I. Dutt, R. K. Puri, Physics Review C 81, 044615 (2010)
8)	I. Dutt, R. K. Puri, Physics Review C 81, 064609 (2010)
9)	C. J. Lin, J. C. Xu, H. Q. Zhang, Z. H. Liu, F. Yang, L.X. Lu, Physics Review C 63, 064606 (2001)
10)	P. Moller et al., Atomic Data and Nuclear Data Tables 59, 185 – 381 (1995)
11)	C. Y. Wong, Physics Review Letter 31, 766 (1973)
12)	N. Takigawa, T. Rumin, N. Ihara, Physics Review C 61, 044607 (2000)
13)	K. Hagino, N. Rowley, A. T. Kruppa, Comp. Physics Comm. 123, 143 (1999).

1. Thanh Nam Pham1, Ming-Fong Tsai1, Duc Bing Nguyen1, Chyi-Ren Dow1 and Der- Jiunn Deng2. “A Cloud Based Smart-Parking System Based on Internet-of-Things Technologies”. IEEE Access, volume 3,pp. 1581 1591, september 2015.

2. Renuka R. and S. Dhanalakshmi. “Android Based Smart Parking System Using slot Allocation reservations”. ARPN Journal of Engineering and Applied Sciences. VOL. 10, NO. 7, APRIL 2015.

3. ElMouatezbillah Karbab,Djamel Djenouri, Sahar Boulkaboul, Antoine Bagula, CERIST Research Center, Algiers, Algeria University of the Western Cape, Cape town, South Africa ,”Car Park Management with Networked WirelessSensors and Active RFID” ‘,978-1-4799-8802-0/15
©2015 IEEE

4. Harmeet Singh, Chetan Anand, Vinay Kumar, Ankit Sharma, “Automated Parking System With Bluetooth
Access”, International Journal Of Engineering And Computer Science ISSN:2319-7242,Volume 3 Issue 5, May 2014, Page No. 5773-5775

5. ThanhNamPham1,Ming-FongTsai1,Duc Bing Nguyen1, Chyi-Ren Dow1 and Der- Jiunn Deng2. “A Cloud-Based Smart-Parking System Based on Internet-of-Things Technologies”. IEEE Access, volume 3,
pp. 1581 1591, september2015.

6. Renuka R .and S.Dhanalakshmi.“ Android Based Smart Parking System Using slot Allocation reservations”.ARPN Journal of Engineering and Applied Sciences.VOL.10, NO. 7,APRIL2015.
7. SushilPalande, Surekha Gangurde, AkshayPote. “Automatic Pay And Park System”. International Journal
of Scientific and Research Publications, Volume5, Issue5, May

8. GGYU Gunasekara, ADAI Gunasekara and RPS Kathriarachchi General Sir John Kotelawala Defence University, Ratmalana ,SriLanka. “ A Smart Vehicle Parking Management Solution”. Proceedings of 8th International ResearchConference, KDU, Published November2015.

9. Baratam MKumar Gandhi and M.Kameswara Rao. .“A Prototype for IoT based Car Parking Management
System for  martCities”.IndianJournalofScienceandTechnology,Vol9(17),DOI:10.17485/ijst/2016/v9i17/92973,May201

10. Pooja Sanjay Pagar, Tabassum Jalal Khan, P. R. Ghodekar , M. R. Bhadange, V. Salve . “Smart Car Management System Using Raspberry Pi ”.International Journal Of Advanced Research in Engineering Management (IJAREM).

11. Zeyd in Pala , Nihat Inanc. “Utilizing Rfid For Smart Parking Applications”.FactaUniversitatisSeries:Mechanical EngineeringVol.7,No1, 2009, pp. 101118.


12. RakhiKalantri, AnandParekar, Akshay Mohite, Rohan Kankapurkar. “RFID Based Toll Collection System ” Rakhi Kalantri et al,/(IJCSIT)International Journal ofComputer Science and Information Technologies, Vol. 5 (2) , 2014,2582-2585.

13. VishwanathY, AishwaryaDKuchalli, DebarupaRakshit. “Survey paperonSmartParking System based on
Internet of Things”.Information Science, New HorizonCollegeof Engineering, Bengaluru, India.

14. Ahmed Yaseen Mjhool, Ali Abbas Al-Sabbagh, Ruaa A. Saeed Alsabah. “Smart Parking Techniques Based on Internet of things”.Journal of Networks and Telecommunication Systems, Vol.1 (1), 1-10, August, 2015.

[1] Zhi-Hong Deng, Sheng-Long Lv, “Fast mining frequent itemsets using Nodesets”, Expert Systems with Applications, Elsevier, Expert Systems with Applications, Elsevier, Volume 41, Pages 4505–4512, 2014

[2] Zhi-Hong Deng, Sheng-Long Lv, “PrePost+: An efficient N-lists-based algorithm for mining frequent itemsets via Children–Parent Equivalence pruning”, Expert Systems with Applications, Elsevier, Volume 42, Pages 5424–5432, 2015
[3] Meera Narvekara, Shafaque Fatma Syed, “An optimized algorithm for association rule mining using FP tree”, Procedia Computer Science, Elsevier, Volume 45, Pages 101 – 110,  2015 

[4] Anil Vasoya, Dr. Nitin Koli, “Mining of association rules on large database using distributed and parallel computing”, Procedia Computer Science, Elsevier, Volume 79, Pages 221 – 230, 2016 

[5] Ish Nath Jha, Samarjeet Borah, “Efficient Association Rule Mining Using Improved Apriori Algorithm”, International Journal of Scientific & Engineering Research, Volume 3, Issue 11, Pages 1-4, November-2012

[6] Manali Rajeev Raut, Hemlata Dakhore, “An Approach to Mining Association Rules in Horizontally Distributed Databases with Anonymous ID Assignment”, IEEE 2015 Global Conference on Communication Technologies (GCCT), Pages 23-24, April 2015

[7] M. Krishnamurthy, E. Rajalakshmi, R. Baskaran, A. Kannan, “Prediction of customer buying nature from frequent itemsets generation using Quine-McCluskey method”, IET Chennai Fourth International Conference on Sustainable Energy and Intelligent Systems (SEISCON 2013), Pages 12-14, 2013

[8] Jesmin Nahar, Tasadduq Imama, Kevin S. Tickle, Yi-Ping Phoebe Chen, “Association rule mining to detect factors which contribute to heart disease in males and females”, Expert Systems with Applications, Elsevier, Volume 40, Pages 1086–1093, 2013

[9] Bay VO, Frans Coenen, Bac Le, “new method for mining Frequent Weighted Itemsets based on WIT-trees”, Expert Systems with Applications, Elsevier, Expert Systems with Applications, Elsevier, Volume 40, Pages 1256–1264, 2013

[10] D. Magdalene Delighta Angeline, “Association Rule Generation for Student Performance Analysis using Apriori Algorithm”, The SIJ Transactions on Computer Science Engineering & its Applications (CSEA), Volume 1, Issue 1, Pages 12-16, March-April 2013

[11] Dr. S. Vijayarani and Ms. R. Prasannalakshmi, “Comparative Analysis of Association Rule Generation Algorithms in Data Streams”, International Journal on Cybernetics & Informatics (IJCI), Volume 4, Issue 1, Pages 15-25, February 2015  
[12] J.Suresh, P.Rushyanth,Ch.Trinath, “Generating associations rule mining using Apriori and FPGrowth Algorithms”, International Journal of Computer Trends and Technology (IJCTT), volume4, Issue4, Pages 887-892, April 2013 
[13] Ruchi Bhargava, Prof. Shrikant Lade, “Effective Positive Negative Association Rule Mining Using Improved Frequent Pattern”, International Journal of Modern Engineering Research (IJMER), Volume 3, Issue 2, Pages 1256-1262, March-April. 2013 
[14] Sample Dataset for Market Basket Analysis:http://recsyswiki.com/wiki/Grocery_shoppi  

[1] M. Armbrust et al., “Above the clouds: A Berkeley view of cloud computing,” University of California, Berkeley, Tech. Rep., Feb 2009.
[2]L. Siegel, “Let it rise: A special report on corporate IT,” in TheEconomist, Oct. 2008.
[3]  P. Barham, B. Dragovic, K. Fraser, S. Hand, T. Harris, A. Ho, R. Neugebauer, I. Pratt, and A. Warfield, “Xen and the art of virtualization,” in Proc. of the ACM Symposium on Operating Systems Principles (SOSP’03), Oct. 2003.
[4] “Amazon elastic compute cloud (Amazon EC2),http://aws.amazon.com/ec2/.”
[5] C. Clark, K. Fraser, S. Hand, J. G. Hansen, E. Jul, C. Limpach, I. Pratt, and A. Warfield, “Live Migration of virtual machines,” in Proc. of the Symposium on Networked Systems Design and Implementation (NSDI’05), May 2005.
[6] M. Nelson, B.-H. Lim, and G. Hutchins, “Fast, transparent migration for virtual machines,” in Proc. of the USENIX Annual Technical Conference, 2005.
[7] M. McNett, D. Gupta, A. Vahdat, and G. M. Voelker, “Usher: An extensible framework for managing clusters of virtual machines,” in Proc. of the Large Installation System Administration Conference (LISA’07), Nov. 2007. 
[8] T. Wood, P. Shenoy, A. Venkataramani, and M. Yousif, “Black-box and Gray-box strategies for virtual machine migration,” in Proc. Of the Symposium on Networked Systems Design and Implementation (NSDI’07), Apr. 2007.
[9] C. A. Waldspurger, “Memory Resource Management in VMware ESX Server,” in Proc. of the symposium on Operating systems design and implementation (OSDI’02), Aug. 2002.
[10] G. Chen, H. Wenbo, J. Liu, S. Nath, L. Rigas, L. Xiao, and F. Zhao, “Energy-aware server provisioning and load dispatching for connection-intensive Internet services,” in Proc. of the USENIX Symposium on Networked Systems Design and Implementation (NSDI’08), Apr. 2008.