International Journal of Computer Engineering in Research Trends

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DOI Prefix : 10.22362/ijcert

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We have been screening articles for plagiarism with a world-renowned tool: Turnitin However, it is only rejected if found plagiarized. This more stern action is being taken because of the illegal behavior of a handful of authors who have been involved in ethical misconduct. The Screening and making a decision on such articles costs colossal time and resources for the journal. It directly delays the process of genuine materials.

Citation Index

Citations Indices	All
Citations	1026
h-index	14
i10-index	20
Source: Google Scholar

Acceptance Rate (By Year)

Acceptance Rate (By Year)
Year	Rate
2021	10.8%
2020	13.6%
2019	15.9%
2018	14.5%
2017	16.6%
2016	15.8%
2015	18.2%
2014	20.6%

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DOI:10.22362/ijcert

Paper Title	:	The Cost Analysis of the Private and Public Health Facilities for Delivering Outpatient Services: A Study Conducted in Bangladesh
Authors	:	Md. Mahfujur Rahman, Md. Al-Amin, Kazi Mahfuzur, ,
Affiliations	:	1: Institute of Health Economics, University of Dhaka, Dhaka, Bangladesh ; 2: Institute of Education and Research, University of Dhaka, Dhaka, Bangladesh; 3: Institute of Disaster Management and Vulnerability Studies, University of Dhaka, Dhaka, Bangladesh
Abstract	:	The government of Bangladesh tries to provide free healthcare services locally through community clinics, satellite clinics, Union Health & Family Welfare Center (UH&FWC), etc. But all these facilities still unable to fulfill the local demand. So, people visit private medical institutions to receive proper treatment. They need to pay for each unit of private healthcare services. The study considered eight UH&FWC in rural areas and eight private clinics in urban areas from 8 districts of Bangladesh. We accumulated the various categories of cost-related data of these facilities e.g. physicians and other staff's salary, hospital rent and other equipment costs, etc. and also the number of patients treated by each facility each month. Thus, we estimated the per month cost of producing each unit of outpatient services. The cost of producing per unit outpatient services differed from facilities to facilities. The cost in the UH&FWC ranged from BDT 178 ($2.09) to BDT 197 ($2.32). At the same time, this cost in the private clinic was BDT 87 ($1.02) to BDT 92 ($1.08). The health care cost between public and private health facilities altered due to the variation in cost and utilization of services from these health facilities. However, private health facilities are more efficient than public health facilities. If we would like to reduce the cost of public health facilities, we must ensure transparency in the facilities.
	:	10.22362/ijcert/2020/v7/i12/v7i1202
DOI Link	:	https://doi.org/10.22362/ijcert/2020/v7/i12/v7i1202

Paper Title	:	A Study on Role of Medical Representatives in Pharmaceutical Promotion in Bangladesh
Authors	:	Md. Mahfujur Rahman, Md. Al-Amin, Kazi Mahfuzur, ,
Affiliations	:	1: Institute of Health Economics, University of Dhaka, Dhaka, Bangladesh; 2: Institute of Education and Research, University of Dhaka, Dhaka, Bangladesh; 3: Institute of Disaster Management and Vulnerability Studies, University of Dhaka, Dhaka, Bangladesh
Abstract	:	The pharmaceutical market in Bangladesh is highly concentrated and the top 10% of the company covered 70% of the market share. In this competitive market, pharmaceutical companies adopt aggressive marketing strategies to achieve greater market share, which sometimes crosses the limit. Every company employs medical representatives to survive and expand their share in this competitive market. This higher competition leads the pharmaceutical companies to be aggressive in promoting their drugs by hook or crook. The medical representatives adopt various strategies and make the physicians unethically prescribe extra medicines, antibiotics, and unnecessary drugs. Eventually, that burdens the patients with extra healthcare costs. The study was conducted using qualitative data. An interview-based research design was followed to collect data from healthcare providers, physicians, and medical representatives to explore the promotional strategy of the pharmaceutical companies. Healthcare providers, physicians and medical representatives from Dhaka, Gazipur and Magura districts participated in the face to face in-depth interviews (IDI). Their provided data was used to understand the marketing strategy and how it influences the relevant sectors. The health sector in Bangladesh is highly structured where the pharmaceutical companies play an important role to fulfill the drug demand of the people at the home and abroad as well as store foreign currency by exporting drugs. Sometimes, the unethical practices of the physicians and pharmaceutical companies increase the health care expenditure. The medical representatives of a company play a key role to create aggressive marketing which increases the health care expenditure. The physicians prescribe inappropriately through the influence of medical representatives, which transfer the patient’s family to catastrophic health expenditure.
	:	10.22362/ijcert/2020/v7/i12/v7i1201
DOI Link	:	https://doi.org/10.22362/ijcert/2020/v7/i12/v7i1201

Paper Title	:	A Comparative Study of Location Based Services Simulators
Authors	:	Rida Qayyum, Hina Ejaz, , ,
Affiliations	:	1 & 2 : Department of Computer Science, Government College Women University Sialkot, Pakistan
Abstract	:	Location-based services are now extremely prevalent due to their massive usage in current and emerging technologies. The use of simulation tools has been gaining popularity in the domain of LBS systems, where researchers take advantage of simulators for evaluating the behavior and performance of new architecture design. This popularity results from the availability of various powerful and sophisticated LBS simulators that are continuously verifying the flexibility of proposed models of LBS research projects. Despite its popularity worldwide, there is still a problem for researchers to choose the best simulator according to their needs and requirements, which provide them accurate results. Furthermore, conducting research on the physical LBS environment for individuals or small educational institutes is very challenging due to the cost involved in setting up location-based services live. Therefore, for selecting an appropriate LBS simulator, it is important to have knowledge of simulators that are currently available along with their features and selection criteria considered for conducting research in a particular type of problems in the LBS system. In the current study, we have presented various simulators that provide a cost-effective way of conducting LBS research projects. This paper compares 10 simulators to help researchers and developers for selecting the most appropriate simulation tool depending on selection criteria. Moreover, a detailed discussion with the recommendation for best practice in LBS simulation tools is also included in this paper, which would surely help new researchers to quickly identify the most suitable simulator according to their research problem.
	:	10.22362/ijcert/2020/v7/i11/v7i1101
DOI Link	:	https://doi.org/10.22362/ijcert/2020/v7/i11/v7i1101

Paper Title	:	Diagnosis of Chronic Kidney Disease using Naïve Bayes algorithm Supported by Stage Prediction using eGFR
Authors	:	A Victor Ikechukwu, K Nivedha, N M Prakruthi, Farheen Fathima, R Harini, L Shamitha
Affiliations	:	Department of CSE, Maharaja Institute of Technology Mysore, Visvesvaraya Technological University, Belagavi,
Abstract	:	The proliferation of data and availability of open source tools has simplified the diagnosis of diseases such as CKD (Chronic Kidney Disease). As one of the types of kidney disease which results in malfunctioning of kidney, it is paramount to effectively diagnose such diseases to prevent degeneration of vital organs in the body. Despite the advancements in the field of medical imaging, there exists no permanent cure for CKD, but the risk can be mitigated to a larger extent if detected at the early stage. This paper proposes a hybrid approach to early detection of chronic kidney disease by using Naïve Bayes classifier and eGFR (estimated Glomerular Filtration Rate). Naïve Bayes which works on the principle of conditional probability was used to predict whether a patient has CKD or not based on clinical symptoms, and the stage was determined using the eGFR formula. Results were promising as the model was able to predict the prevalence of CKD as well as the stage in which the patient was in. Although we were able to develop a web-based application using machine learning algorithms to aid in the diagnosis of CKD by serving as a “self-diagnostic” tool for medical practitioners, improvements could be made to ensure that the model works according to established ground truth by nephrologists.
	:	10.22362/ijcert/2020/v7/i10/v7i1002
DOI Link	:	https://doi.org/10.22362/ijcert/2020/v7/i10/v7i1002

Paper Title	:	Performance Analysis of Free Space Optical Communication Network with Different Modulation Techniques
Authors	:	Ms. Shweta Patil, Dr. Jyothi Digge, Mr. Mahesh Kadam, ,
Affiliations	:	Terna Engineering College, Nerul, Navi Mumbai
Abstract	:	Free space optics is one of the emerging technology of optical wireless communication which refers to propagation of light beams through atmosphere for broadband communication. It is a promising alternative solution for RF network, as it provides stable data transmission and highest data rates. However performance of this system could be prominently degraded due to various atmospheric conditions that may lead to increase in bit error rate and affect link sustainability. This paper presents analysis of proposed FSO system with comparative study of different modulation techniques under weak turbulence at 1550 nm wavelength in terms of BER and Q factor so as to mitigate adverse effects and improve efficiency.
	:	10.22362/ijcert/2020/v7/i10/v7i1001
DOI Link	:	https://doi.org/10.22362/ijcert/2020/v7/i10/v7i1001

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Paper Title	:	Block-Chain Compliance for IoT Security: A Survey
Authors	:	G.Chandra Sekhar, P. Balamurugan, , ,
Affiliations	:	1 :Research Scholar, Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology, Chennai, Tamilnadu, India; 2: Professor , Department of Computer Science and Engineering at Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology, Chennai, Tamilnadu, India.
Abstract	:	Internet of Things would soon become pervasive and ubiquitous due to its uses and easy to manage across various applications. Moreover, IoT has reached the extent of communicating the data from very close proximity to a distant place more than 10Kilometers. The extensive usage of the IoT devices makes the service provider overwhelming in terms of the revenue. It poses challenges to scale the technology to respond to the requests from numerous devices and instances for the actions and decisions to be taken. In addition to the IoT communication, security is a vital activity for every communication across IoT devices. In this paper, an exhaustive study has been conducted on the significance of IoT communication and the challenges involved and the span of security across various layers of the IoT. Furthermore, the survey on Blockchain and the possible integration for IoT communication has been discussed. Finally, the study expresses different integration challenges existing in the present times, which further helps to explore the blockchain adaptability for IoT security.
	:	10.22362/ijcert/2020/v7/i09/v7i903
DOI Link	:	https://doi.org/10.22362/ijcert/2020/v7/i09/v7i903

Paper Title	:	An Ischemic Heart Disease Prediction Model Based on Observed Symptoms Using Machine Learning
Authors	:	Solomon Osarumwense Alile, , , ,
Affiliations	:	Department of Computer Science, Faculty of Physical Sciences, University of Benin, Benin City, Nigeria
Abstract	:	Ischemic Heart Disease is a death-defying cardiovascular disease that disrupts the circulation of blood owing to plaques such as fats, cholesterol, calcium, and other substances resident in the blood, which coagulates hence narrowing the arteries. The symptoms of this disease are angina, sweating, nausea, breathlessness, heart attack, vomiting, pains of back, jaw, shoulder, arm, back, and neck, just to name but a couple. According to World Health Organization, the leading cause of death which has caused over 17 million untimely deaths of patients since 2015 to date especially individuals below the age of 70 years is Ischemic Heart disease which is a form of Cardiovascular Disease; where 81% of these recorded deaths occurring in individuals in respective of sex, particularly in low and middle-income countries of Sub-Sahara Africa. Nevertheless, in the recent past, a couple of systems have been developed to detect this non-transmittable ailment. Yet, they delivered a ton of bogus negative during testing and could not distinguish Ischemic Heart Disease given its covering symptoms it imparts to other Cardiovascular Diseases. Consequently, there was the need to proffer a solution for the issue of under-diagnosis and misdiagnosis of Ischemic Heart Disease, which is much uncontrolled in Sub-Sahara Africa. Hence, in this paper, we proposed and built up a model to predict Ischemic Heart Disease and Cardiovascular diseases using an AI technique called Bayesian Belief Network. The model was structured using Bayes Server and tested with data retrieved from the UCI Machine Learning Repository. The model had an overall prediction exactness of 99.99%; 98.86% and 99.66% sensitivity of Ischemic Heart Disease and Cardiovascular Diseases correspondingly.
	:	10.22362/ijcert/2020/v7/i09/v7i0902
DOI Link	:	https://doi.org/10.22362/ijcert/2020/v7/i09/v7i0902

Paper Title	:	Creditcard Fraud Detection and Classification Using Machine Learning Based Classifiers
Authors	:	Y.Yashasree, Dr.K.Venkatesh Sharma, , ,
Affiliations	:	1M.Tech (Pursuing),CVR College of Engineering , Department of Computer Science and Engineering 2Professor,Department of Computer Science and Engineering, CVR College of Engineering
Abstract	:	Nowadays, most transactions take place online, which means that credit cards and other online payment systems are involved. This method is convenient for the company and the customer. The digital age seems to have provided some very useful features that have changed the way businesses and consumers interact, but for a charge. “Credit card fraud” outlays the card industry literally billions of dollars a year. Financial institutions are constantly striving to improve fraud detection systems, but at the same time, fraudsters are finding new ways to break into systems. Preventing and detecting “Credit card fraud” has become an emergency. Data mining techniques can be very useful in detecting financial fraud, as large and complex financial data processing poses major challenges for financial institutions. In recent years, several studies have used machine learning and data mining techniques to combat this problem. The main aim of this paper is to implement the performance of the machine learning based classifiers on Credit card fraud detection dataset.
	:	10.22362/ijcert/2020/v7/i9/v7i901
DOI Link	:	https://doi.org/10.22362/ijcert/2020/v7/i9/v7i901

Paper Title	:	Bootstrap Education during Lockdown
Authors	:	Ms.Mekhala, Ms. ShilpiGupta, , ,
Affiliations	:	1:Research Scholar, Department of Computer Science, Uttarakhand Technical University, Uttarakhand, India; 2: Ph.D Student, Department of education, Shobhit Institute of Engineering & Technology (Deemed-to-be-University), Meerut-250110, India
Abstract	:	Background/Objectives: As we all know COVID-19 has badly affected our country's past four months. Under the circumstances of a pandemic, the entire economical and educational system has been messing up across the world. Everything and every field now need continuous efforts to bring them on the same platform. Methods/Statistical analysis: In this article, we have focused on how E-learning is a bootstrap during this time. We have surveyed some articles and we have found that all the educators and educates are nowadays utilizing various methods of online learning so that their studies can never be halted. As we know today what is happening will have to fade one day and we have learned that we should never lock anything due to this. Findings: We have found that various technologies, methods, and challenges which educators are facing through E-learning. We found that this exception is a major change in our education system which is beneficial for all educators and educatees.
	:	10.22362/ijcert/2020/v7/i08/v7i0809
DOI Link	:	https://doi.org/10.22362/ijcert/2020/v7/i08/v7i0809

Paper Title	:	A Survey on Deepfake Detection Techniques
Authors	:	Ms.Bismi Fathima Nasar, Ms.Sajini. T , Ms.Elizabeth Rose Lalson , ,
Affiliations	:	1: Computer Science and Engineering, ER & DCI Institute of Technology, KTU, Thiruvananthapuram, India , 2: Knowledge Resource Centre, CDAC, Thiruvananthapuram, India; 3 : Computer Science and Engineering, ER & DCI Institute of Technology, KTU, Thiruvananthapuram, India
Abstract	:	With the recent advancement in the Deep Learning algorithm, its application has been broadened over various fields ranging from big data analytics to human biometric systems. One such field where it takes up the hand is the implementation of various application like FaceApp, FakeApp etc. that is used in the generation of manipulated media files which is termed as Deepfake. These application has a wider increase in its popularity among common public due to its user friendly features and are used in various domains like Digital Fraud, Cyber Crimes, Politics and in even in Military Activities. So, it is very much important to develop some kind of detection techniques that can take away this kind of forgeries and put up a new step in video and audio forensics. In this paper, we present the various creation and detection techniques that is up now in research in Deepfake using various techniques like Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), Long Short Term Memory (LSTM) etc. and thus provide a backbone in the implementation of a new scheme that would be more compactable and accurate in the detection of Deepfakes. Also we done a comparison study on various techniques under traditional and state of the art approach and brought up a conclusion that most of the techniques under traditional approach are time consuming process, need expertise knowledge over the technology for the user to use them etc. where as in the case of state of the art approach, the techniques require less time for processing and anyone with less knowledge over the technology can use this technologies for the creation and detection of Deepfake.
	:	10.22362/ijcert/2020/v7/i09/v7i0808
DOI Link	:	https://doi.org/10.22362/ijcert/2020/v7/i08/v7i0808

Paper Title	:	Reuse Of Construction and Demolished Waste as Aggregates in Concrete: A Review
Authors	:	A.H. Buller, B.A. Memon, I.N. Sodhar, M. Oad & A.S. Buller,
Affiliations	:	1* Engineer, Quaid-e-Awam University of Engineering, Science & Technology Nawabshah, 67480, Pakistan. 2 :Professor, Quaid-e-Awam University of Engineering, Science & Technology Nawabshah, 67480, Pakistan. 3 :Lecturer, Department of Information Technology, Shaheed Benazir Bhutto University, Shaheed Benazir Abad, 67480, Pakistan. 4: Assistant Professor, Quaid-e-Awam University of Engineering, Science & Technology Nawabshah, 67480, Pakistan.
Abstract	:	This paper presents reviews of the authors for the use of construction and demolished waste of building in concrete as recycled coarse aggregates. It is observed that from many years ago that the peoples of rural areas shifted from villages/small towns to developed city centers. Due to this huge number of migration of peoples creates problems accommodations and their basic needs. For the solution of accommodation and other problems demolish old structures and construction will shift from horizontal to vertical space such as: high rise building. However, demolition of old structures creates many issues and for the solution those issues on and only the better option of reused of Construction & Demolition waste as in green concrete. The views of the several authors and construction industry are the utilization by consuming it in new concrete in various ways. Replacement of fine aggregates, coarse aggregates and even cement has been attempted. Green concrete is produced by replacing natural coarse aggregates in 50% dosage with coarse aggregates obtained from demolished old concrete which was suggested by the several authors. Use of recycled in concrete has not much effect on the basic properties (specific gravity, water absorption, unit weight and density) of Recycled coarse aggregates comparison with natural coarse aggregates. Therefore, the use of this waste in new concrete not only helps in reducing the waste management issues but also help to protect the environment greatly.
	:	10.22362/ijcert/2020/v7/i08/v7i0807
DOI Link	:	https://doi.org/10.22362/ijcert/2020/v7/i08/v7i0807

Paper Title	:	Tools Used In Online Teaching and Learning through Lock-Down
Authors	:	I.N. Sodhar, A.H. Jalbani, A.H. Buller, A.N. Sodhar ,
Affiliations	:	1*: Lecturer, Shaheed Benazirabad University, Shaheed Benazirabad (SBBUSBA), Sindh, Pakistan 2 Associate Professor, Quaid-e-Awam University of Engineering, Science & Technology, Nawabshah, Sindh Pakistan 3 Engineer, Quaid-e-Awam University of Engineering, Science & Technology, Nawabshah, Sindh, Pakistan. 4 Postgraduate student, Quaid-e-Awam University of Engineering, Science & Technology Nawabshah, Sindh Pakistan
Abstract	:	Now-a-days, the whole world faced the pandemic situation due to spreading of the novel- corona virus (COVID-19) rapidly; in this situation Pakistan’s government has imposed the lock-down in all provinces. As the pandemic situation increased throughout the world and the impact of this is also increase repaid. The impact of these pandemic situations is economy of the country, education of the country and increased the Poverty in the country. To reduce the impact of this pandemic situation on education, online education system was introduced. That’s why government take the step towards of online classes of universities students to save the education without wasting time of students. Pakistan government also announce the channel for students to teach the students of 1st to 12th standards students from 8:00 AM to 6:00 PM at home without any difficulty. The main objective of research this is to find out the online tools used in teaching and learning process during lock-down. At the university level teachers in higher education institutes used different tools such as: Google class, Email, WhatsApp group, Facebook group, Zoom, MS Office 360, YouTube channel, Recorded PowerPoint presentation, laptop screen recorder and X-recorder for mobile screen to fulfil the task of online classes and also get the few percent of results from students.
	:	10.22362/ijcert/2020/v7/i08/v7i0806
DOI Link	:	https://doi.org/10.22362/ijcert/2020/v7/i08/v7i0806

Paper Title	:	Non-academic online activities among Bangladeshi University students: Case Study
Authors	:	Md. Obaidullah, Abdullah Al Zubayer , , ,
Affiliations	:	1*: Department of Public Administration, University of Barishal, Barishal 8200, Bangladesh; 2: Department of Sociology, University of Barishal, Barishal 8200, Bangladesh
Abstract	:	Objectives: E-learning has become the mandatory component of all educational institutions like schools, colleges, and universities in and around the world due to the pandemic crisis of COVID-19. Students are not busy now. They are spending time online. This study examines the non-academic online activities of public university students in Bangladesh. Methods: The study is qualitative-explorative. Data has been collected through a semi-structured questionnaire. That was qualitatively thematic analysed through manual coding to achieve the research objectives. The sample was taken from 20 Students of 10 public universities in Bangladesh for a case study by purposive sampling technique from July 5 to July 15, 2020. Findings and Conclusion: The findings of the study shows, that students are engaged in online activities, both productive and non-productive. Especially focus on non-academic online activities. We found that leisure time activities, Soft skills development, spending time online and exceptional thinking from the academic area of students. However, they are facing different problems. Finally, some solutions are provided in this paper.
	:	10.22362/ijcert/2020/v7/i08/v7i0805
DOI Link	:	https://doi.org/10.22362/ijcert/2020/v7/i08/v7i0805

Paper Title	:	Vigorous Recognition of Child Marriage Prophylaxis Through Cryptography: Impeccable Solutions Within Concatenated Management
Authors	:	Ms.Tarun Danti Dey, Ms. Tanny Das, Mr.S.M. Shahen Alam, Mr. Sritha Zith Dey Babu,
Affiliations	:	1*:Department of LAW, Chittagong Independent University, Chittagong, Bangladesh 2: Department of English Literature and Language, Brindaban Government College, Habiganj, Bangladesh 3: Department of Sociology, University of Dhaka, Bangladesh 4: Department of Computer Science, Chandigarh University, Punjab, India
Abstract	:	Child marriage is the pervasive smeared crux in our Asia continent. It sways all-encompassing concavity on gender-oriented prejudice, emerging rate of the population as well. The objective of our paper defines settling up the age with deficient latitude accordant the propounded strait, fabricating a cryptosystem into society, embellishing the temporal and spatial equation to amplify a society. The collection of random or unstructured data replicates the method of cryptosystem and genetic algorithm through the deviation of true and standard value related to the concentration of the determined attributes of the analyte. Exertion and correlation of doctors with related schools corroborate the cultivation of physical and elementary mental health, ascertainment of sanitation. Indemnifying society consolidation regarding education cognition fastens partaking of Education Officers and Volunteers. Consciencement of parents’ employment endorses with the Representatives of NGOs’. Implementation of a female child ratifies with the aid of Banks and Financial Institutions. Social awareness fleeces with the concurrence of religious confessors and the honorable figures of the entertainment sphere. Birth registration, existing child's data, and rationing are verified respectively under the aegis of the root leveled officials and public representatives. Our proposed methodology comprehensively facilitates both the prerogative and underprivileged female children, along with their parents. Adolescents’ as well as females engaging in the skill development arena, certify their elevation of social status. The novelty of the paper is that it’s going to concrete the span of social science and big data.
	:	10.22362/ijcert/2020/v7/i08/v7i0804
DOI Link	:	https://doi.org/10.22362/ijcert/2020/v7/i08/v7i0804

Paper Title	:	The Study of Development of Standard Operating Protocols for Nurses With Reference To Communication with Client and Relatives in Intensive care Unit (ICU)
Authors	:	Dr. Sangeetha Sunil Bhujbal, , , ,
Affiliations	:	Nursing Lecturer, Dept. Of Nursing, B.J.Govt Medical, Pune,Maharastra, India.
Abstract	:	Intensive care unit is an area which creates fear and worries in client and relatives while nurses working in this area undergo stress to overcome, this there is a need for the nurse to understand the importance of communication in an Intensive care Unit . Communication skills are relatively poorly developed among critical care nurses compared to nurses in wards.1 Objective- It was to enhance communication between the nurse and client by assessing the effectiveness of Standard Operating Protocol on practices of nurses regarding communication with the clients and relatives in intensive care unit at selected hospitals in the state of Maharashtra as there were no protocols existing in the intensive care unit for nurses. Method and Statistical analysis- A descriptive evaluative approach, Pre experimental time series one group pretest post-test design was used. Total of 220 nurses selected by purposive sampling technique. Tools were Standard Operating Protocols. Teaching Module, An observation checklists with socio-demographic data. Observation technique was used to observe the practices. Data were analyzed using both descriptive and inferential statistics. The result of the study showed. There was a significant association of educational qualification with post-test-1 observational practices as p = < 0.0001. There was no association with observed practice score and socio-demographic data during pretest and posttest- 2. In Communication with client Area of nonverbal communication improved from 41% to 91%. Reassurance and comfort also increased from 41% to 84%. Communication with client’s relatives enhanced from 43% to 93% in the majority as an aspect of the checklist.
	:	10.22362/ijcert/2020/v7/i08/v7i0803
DOI Link	:	https://doi.org/10.22362/ijcert/2020/v7/i08/v7i0803

Paper Title	:	Detection of Malicious URLs using Artificial Intelligence
Authors	:	Monisha.T, Sridevi.R, Tirumalini.K.R, ,
Affiliations	:	Computer Science and Engineering, S.A. Engineering College, Anna University, Chennai, India
Abstract	:	Background/Objectives: The main objective of the project is to avoid various security threats and network attacks by detecting malicious Uniform Resource Locator(URL) based on the keyword text classification. Methods/Statistical analysis: A semi-supervised technique, naive Bayes classification is proposed to locate malicious URL by text classification phenomena. The probabilities of the predicted and the exact values are calculated, and it results with high probability. With more accuracy, the malignant URL is predicted. A page rank algorithm is used to detect the blacklist which contains the URLs that are already noted as spam, malware or phishing URL. Findings: With the persistent improvement of Web assaults, many web applications have been languishing from different types of security dangers and system assaults. The security identification of URLs has consistently been the focal point of Web security. One of the main sources of attacks is via malicious URLs; the attackers may send embedding executable codes or injects malicious codes through these URLs. Thus, it is important to improve the unwavering quality and security of web applications by precisely identifying malignant URLs. The utilization of profound figuring out how to group URLs to recognize Web guests' aims has significant hypothetical and scientific values for Web security investigate, giving new plans to canny security discovery.
	:	10.22362/ijcert/2020/v7/i08/v7i0802
DOI Link	:	https://doi.org/10.22362/ijcert/2020/v7/i08/v7i0802

Paper Title	:	Developing Framework of Web Scraper for Agriculture Data using Client Server Module
Authors	:	Prateeksha Nashipudi, Dr. S. B. Kulkarni, , ,
Affiliations	:	1:PG Scholar, SDM College of Engineering and Technology, Dharwad, Karnataka, India. 2:Associate Professor SDM College of Engineering and Technology, Dharwad, Karnataka, India.
Abstract	:	Searching for relevant information becomes very difficult and sometimes we don’t find the exact information what we are actually seeking, so it results in time-consuming and repeating the same web page without knowingly. A system which will know our needs, requirements, preferences and patterns. This will retrieve the correct information and helps in fast processing. In this work, it is proposed that the personalized search engine for information retrieval system using the client-server module for user preferred information through intelligent search and storing the searched result in a database for further accessing of information is implemented. For information retrieval, a framework known as scrappy is used for retrieving all the user needed information by specifying the URL of that data. The fetched information is stored in the database. It helps in offline browsing, full-text search in the database and fast response and no repeating of web pages.
	:	10.22362/ijcert/2020/v7/i08/v7i0801
DOI Link	:	https://doi.org/10.22362/ijcert/2020/v7/i08/v7i0801

Paper Title	:	Inverter-based MUX: A Low Overhead Approach for Logic Encryption
Authors	:	Mr. Ghobad Zarrinchian, , , ,
Affiliations	:	1*Dept. of Computer Engineering, Islamic Azad University of Yadegar-e-Imam Khomeini (rah) Shahr-e-Rey, Tehran, Iran
Abstract	:	IC overproduction and design theft have been a concern in recent decades for the revenue loss of digital design companies. Logic encryption is a well-known approach to address this problem by locking the functionality of digital designs. In logic encryption techniques, key-gates are added to the design whose functionality is to lock (or obfuscate) the operation of the circuit. Correct functionality is achieved by applying a correct key, which is only known to the IC designer, to these key-gates. The key-gates, however, may incur a considerable overhead to the area and performance of the design. In this paper, a new technique based on simple inverter cells is proposed, which can provide the required locking functionality with low overhead. The results on a set of ISCAS’89 benchmarks reveal that the proposed approach incurs about 2% to 19% area overhead, which is less than any other technique, as well as low power overhead.
	:	10.22362/ijcert/2020/v7/i07/v7i0706
DOI Link	:	https://doi.org/10.22362/ijcert/2020/v7/i07/v7i0706

Paper Title	:	Satellite-Based AIS for Improved Navigation and Maritime Safety - STUDSAT-2
Authors	:	Guruprasad C Kulkarni, Pooja K P, Raghuveer H G, Puneeth G P, N Charan
Affiliations	:	1,2Research Associate, Team STUDSAT, Dept. of ECE, NMIT, Bangalore, Karnataka, India. : 3, 4, 5: Student, Team STUDSAT, Dept. of CSE, NMIT, Bangalore, Karnataka, India.
Abstract	:	Automatic Identification System is designed to prevent water automobiles like ships and corvettes from colliding, by allowing them to know the exact location of ships at sea which has a danger of Collision over the track of vessel. AIS is the discrete method used by all Sailors for exchanging their co-ordinates using SOTDMA for collision avoidance over the track. This paper discusses AIS message transmission and Reception and how it can be used for realizing traffic control in Maritime. In this paper, we show how GMSK Modulation and NRZI encoding techniques can be used for transmission of a signal from AIS Transmitter in Satellite to the receiver in the ground station. The ground station thus will have an extensive database of such received AIS Messages which are decoded at ground station end system level.
	:	10.22362/ijcert/2020/v7/i07/v7i0705
DOI Link	:	https://doi.org/10.22362/ijcert/2020/v7/i07/v7i0705

Paper Title	:	NISSC: A New Information Security System Using Cryptography
Authors	:	Ira Nath, Avijit Baidya, Sajal Kumar Biswas, Snehartha Dam, Kabita Singha
Affiliations	:	1,2,3,4 &5Computer Science and Engineering, JISCE, Kalyani, Nadia, West Bengal, India, 741235
Abstract	:	When we talk one to one that is called human language that is called plain text or normal text. When we talk in normal text or plain text, then all human can understand this text or language easily. That is why we create a cryptography security system to convert this plain text to cipher text. In this security system, we use both number and English alphabet for encryption and decryption the text to hide the plain text. In this security system encryption is mainly depend upon the key generation. The main goal of this security system is to convert simple message or text to non-readable text to secure the messages from hackers; this is called decryption. In this project, at first we find the ASCII value and binary value of the number and alphabet then after all calculation of this value we find the encrypted value and using this value we find decrypted value. In this project, we use RSA and DES and Cryptography for doing encryption and decryption. Moreover, use the ASCII number. In improvement, we complete the whole key generation and encryption and decryption process, which will take linear time.
	:	10.22362/ijcert/2020/v7/i07/v7i0704
DOI Link	:	https://doi.org/10.22362/ijcert/2020/v7/i07/v7i0704

Paper Title	:	Abridgement of Business Data Drilling with the Natural Selection and Recasting Breakthrough:Drill Data With GA
Authors	:	Sritha Zith Dey Babu, Digvijay Pandey, Vipul Narayan, Abdullah Al Zubayer, Ismail Sheik
Affiliations	:	1*Computer Science and Engineering, Chittagong Independent University, Chittagong, Bangladesh; 2 :Department of Technical Education, Kanpur, India 3: M .M.M University of Technology, Gorakhpur, India ; 4:Department of Sociology, University of Barishal, Bangladesh 5: Management College of Southern Africa, Durban, South Africa
Abstract	:	We know about data visualization in business sectors where the graph of a company is now crying for the looker. But, companies are compromising very much with this option and looker don't have any clue to see the per day graph of a company. If one can improvise this option, the looker can get great satisfaction while buying a particular product from the company. This feature can also give a fair marketing policy to the buyers with the sight of any product's proper fitness. Many companies are now using the commence streaming of data by which customers are now getting advantages and sellers. But, for daily purposes, we need to execute drill through the process with an evolutionary algorithm. For pursuing the green era for the marketing field, we need to put the omnipotent values for data analysis. The procedure will make the look towards the HAR method, which one already been executed in business research. Here, we recast the technique with different shadows. This paper shows the golden doors of the green, economic arena where their lookers can get direct access to the database. We aim to show the suasory of the bridge between computer science and business. Now, it's clear to understand that this paper will show the pathway of "Profit and increase exponentially."The objectives of this paper are to create a sustainable strategy in the field of business where we can quickly improve the data analysation part of any business sector. This paper always directs the simple home science pathway for improving business analysation which can help the entrepreneurs of starting any business such as e-commerce with less fund.
	:	10.22362/ijcert/2020/v7/i07/v7i0703
DOI Link	:	https://doi.org/10.22362/ijcert/2020/v7/i07/v7i0703

Paper Title	:	Automated Human Following Trolley Using Image and Video Processing
Authors	:	B Honnaraju, H Hemanth Bharath Bhushan, L Hemanth Raj, T C Kishore, V Likhith
Affiliations	:	Department of CSE, Maharaja Institute of Technology Mysore, Visvesvaraya Technological University, Belagavi, India
Abstract	:	In today's world, the trolleys are used in most places like a shopping mall, hospitals, colleges, etc., and everything is manually operated using their physical strength. This paper proposes an automated human following trolley using the image and video processing. The HSV value of the image taken from the camera will be calculated. If it matches the valid sticker's value, then the trolley will follow that person who has a specific sticker by maintaining a constant distance from that person. The distance estimation technique is used to calculate the distance between the user and the trolley. Background subtraction algorithm is used for recognition and detection purposes. The basic model of the following human trolley was designed, and it was tested under various lighting conditions and verified the correctness of background subtraction by keeping invalid stickers. The designed model was confined with a boundary like hospitals and shopping malls. The same approach with some improvements could be used in other fields like schools and colleges, libraries, agricultural fields, war fields, etc.
	:	10.22362/ijcert/2020/v7/i07/v7i0702
DOI Link	:	https://doi.org/10.22362/ijcert/2020/v7/i07/v7i0702

Paper Title	:	Computer succoured prognosis of Brain knob spotting and histogram enhancement using Fuzzification
Authors	:	Sritha Zith Dey Babu, Digvijay Pandey, Vipul Narayan, ,
Affiliations	:	1*Computer science and engineering, Chittagong Independent University, Chittagong, Bangladesh ,2 :Department of Technical Education, I.E.T., Lucknow, India 3 : M.M.M University of Technology, Gorakhpur, India
Abstract	:	Brain cancer has rapidly occurred in many medical arenas. The tumour pandemic dangerously infects the health and well-being of the natural population. In this proposed pathway, Fuzzification with the Picture enhancement approach has acted. The clicked Picture contains noises of brain cancer that cannot directly proceed for diagnosis. The clicked Picture includes a sound of dizzy and blurred Pictures. However, the objective of this paper to overcome this problem and to get a high-level picture from aggregated panoramic with image processing methodology. For extracting Pictures, the division has acted to split up the clicked values to samples. Fuzzification targets the infected areas of brain cells for better classification. But, before dividing, extraction has to performed to remove out the noises of Picture. It has performed with train data set and a highly accurate Picture. It has performed using a neighbour equality algorithm classifier. This methodology helps clinical doctors to get the best prediction. The motive of this system is to put improvisation of the effectivity of the classifier and also the efficiency. According to this method can reduce the (N.R.) negative right rate. The findings of the paper are that now clinical doctors can get some help about detection, and also we have improved the image processing system with straightforward methodology.
	:	10.22362/ijcert/2020/v7/i07/v7i0701
DOI Link	:	https://doi.org/10.22362/ijcert/2020/v7/i07/v7i0701

Paper Title	:	Dynamic Crop-yield and Price Forecasting using Machine Learning
Authors	:	Chaitra Kotnikall, Jayateerth Vadavi, , ,
Affiliations	:	1*Student, Dept. Of CSE, Shri Dharmasthala Manjunatheshwara College of Engineering, Dharwad, India. 2: Associate Professor, Dept. Of CSE, Shri Dharmasthala Manjunatheshwara College of Engineering, Dharwad, India.
Abstract	:	Background: Guaranteeing food profitability is a significant issue for creating nations like India, where more than 33% of the individuals is live in neediness. To estimate cost, there is no system in place to advise farmers what crops to grow. Hence, this paper explains the attempt to predict crop price that a farmer can obtain from his land by analyzing patterns in past data. Methods/Statistical analysis: This method makes use of several data such as rainfall, temperature, market prices, and past yield of a crop. The supervised machine learning algorithm, namely, the Decision tree algorithm and analyse the data and predict for the new set of data, is implemented. It also predicts the price and the gain for the next twelve months over the past twelve months and gives the time series analysis of the same. Findings: The proposed model is developed to help farmers make better decisions concerning which crop is most suitable during his desired time of sowing and the location. This System predicts the yield and price of the crop of choice, giving the farmer useful information well before starting the process of cultivation. Improvements: The System can introduce and make available climate-aware cognitive farming techniques and identifying systems of crop monitoring, early warning on pest/disease outbreak based on advanced AI innovation.
	:	10.22362/ijcert/2020/v7/i06/v7i0607
DOI Link	:	https://doi.org/10.22362/ijcert/2020/v7/i06/v7i0607

Paper Title	:	Semantic & Behavioral Feature analysis for Detecting Fake Reviews using Machine Learning
Authors	:	Anjali S Dilliwala, Raghavendra G S, , ,
Affiliations	:	1*Student, Dept. Of CSE, Shri Dharmasthala Manjunatheshwara College of Engineering, Dharwad, India. 2: Professor, Dept. Of CSE, Shri Dharmasthala Manjunatheshwara College of Engineering, Dharwad, India.
Abstract	:	Background: In this age of technology, online business is playing a vital role in the growth of the economy of the business. Hence, people need feedback on various products, technologies, businesses, etc. Since their opinions are the input for an individual to evaluate and adapt them. Therefore, the Review system is playing a vital role in decision making. So there arises a necessity to evaluate the reviews as well since the business units are trying to generate fake reviews to identify more clients for their products. Methods/ Statistical Analysis: In this paper, we implement two machine learning algorithms SVM and Naïve Bayes algorithm and analyse the data and predict for the new set of data. We also compare the performance of both algorithms. Findings: In this paper, we are trying to develop a Machine learning model which analyses the reviews on various factors and obtain the necessary features and classify the reviews as a fake or non-fake review. This helps in identifying fraudulent reviews and predicts the trustworthiness of the reviews in the future. Improvements: The system can introduce and make available Machine learning techniques and identifying fake reviews at the earliest stage.
	:	10.22362/ijcert/2020/v7/i06/v7i0606
DOI Link	:	https://doi.org/110.22362/ijcert/2020/v7/i06/v7i0606

Paper Title	:	Repair and Rehabilitation of Fireside Damaged Concrete Structure
Authors	:	Arun, Hardik Dhull, , ,
Affiliations	:	1*,2: Department Of Civil Engineering , Matu Ram Institute Of Engineering and Management, Rohtak(Hr), India Affiliated by Maharishi Dayanand University, Rohtak.
Abstract	:	This research work is completed to embrace the project work on rehabilitation and retrofitting of fireside damaged concrete buildings. This study explains the rehab process of fireside damaged concrete buildings in three basic categories; condition evaluation, higher cognitive process, rehabilitation & retrofitting. Evaluation method of damaged building has been based upon understanding of fabric properties at elevated temperatures, condition survey and condition assessment. Condition survey includes visual inspection, hammering and chiselling techniques whereas condition assessment includes both non-destructive and destructive tests that are selected upon the premise of efficiency, economy, and performance. Feasibility study is required to form right decisions for the rehab of fireside damaged building. Such a feasibility study should include all important aspects which will have a control within the future, therefore must be considered in higher cognitive process. The method and testing procedures can be used to evaluate the level of damage and feasibility of repair needed. The evaluation can be used to whether to repair or to demolish the structure
	:	10.22362/ijcert/2020/v7/i06/v7i0605
DOI Link	:	https://doi.org/10.22362/ijcert/2020/v7/i06/v7i0605

Paper Title	:	Review Analysis & Enlightening Entity about Green Buildings
Authors	:	Mukul Attri, Nitu, , ,
Affiliations	:	1 & 2: Civil department, Matu Ram Institute of Engineering and Management, MDU, Rohtak, Haryana, INDIA
Abstract	:	The Increase in the level of pollution, global warming, and the effect of greenhouse gases resulted in an urgent need of sustainable green building technology. The methodology adopted is to spread awareness among the entity about green buildings and save cost for them for a long term. In this various case studies are thoroughly studied along with which a site is selected, than the overall quantity estimation is done, than from the market studies cost analysis is prepared and we compare a new green building with the traditional building. We found that the developed nations like U.S.A, U.K, and Russia had already made certain rules and regulations regarding eco-friendly development and the developing nations like India, Pakistan, and Bangladesh are trying to achieve a sustainable development. This paper shows the need of green building as a sustainable development all over the globe especially in developing countries. This case study selects a residential house which is constructed as per the green structure norms in the state of Haryana in India. As India is the second largest populated nation in the world with its 68.84% of total population living in villages (according to 2011 census of India).This paper helps villagers of India to construct and implement simple, sustainable and economic techniques for construction of their residential houses which also results in developing India rapidly.
	:	10.22362/ijcert/2020/v7/i06/v7i0604
DOI Link	:	https://doi.org/10.22362/ijcert/2020/v7/i06/v7i0604

Paper Title	:	Learners’ Perception of Virtual Learning Amidst COVID-19
Authors	:	Dr. Intakhab Alam Khan, , , ,
Affiliations	:	Faculty of Applied Studies, King Abdulaziz University, Jeddah- Saudi Arabia,
Abstract	:	Background: paper intends to explore students’ perceptions of virtual learning amidst COVID-19. It also elicits information about an alternative e-learning strategy which is perhaps the only option left after an official call for social distancing. The research was initially undertaken to find out the pedagogic relevance of virtual learning as a novel teaching strategy. Hence it is essential to mention that King Abdul-Aziz university-Jeddah has been utilizing technology and e-learning/blended learning technique for around 11 years. Method of the study The study is qualitative-descriptive. Data collected through an adapted questionnaire was qualitatively analysed to achieve the research objectives. The sample was taken from a government university in Saudi Arabia. Findings & Conclusions The results show that many students think distance or e-learning was a good experience. However, they felt a lot other personal, pedagogic and technical issues. All of them agreed that distance learning as a mode of education could be both useful and innovative, yet it poses many challenges during successful implementation for achievement of objectives. Implications Based on the findings the researcher recommends that distance learning can be made more relevant, effective and quality - oriented if teachers are well trained, students are motivated and administration is supportive.
	:	10.22362/ijcert/2020/v7/i06/v7i0603
DOI Link	:	https://doi.org/10.22362/ijcert/2020/v7/i06/v7i0603

Paper Title	:	Workplace Sex Bias and Employees Opinion: A Study about India Perspective
Authors	:	Deepa Sharma, Dr. C. Venkateswaran, , ,
Affiliations	:	1 & 2: Dept. Management, Maharishi Markandeshwar (Deemed to be University), Mullana, India
Abstract	:	Background/Objectives: In this paper, we examination include relatives from a distributed and unpublished investigation from around the globe to survey associates of apparent work environment sexual orientation segregation that have critical ramifications for representatives. Methods/Statistical analysis: In this paper Quota sampling technique to be used. In this paper, three variables should be used to meet the objectives. These are controlled variables, dependent variables and Independent variables define in this paper. Sample size should be taken 120. Questionnaires will be divided into three segments mentally stress, family conflict and job satisfaction for estimation of dependent variables to be used appropriate statistical tools. Findings: Our finding of this paper mentally stresses factors remembered to study about include mental indications and judgements of psychological conditions, sickness, what’s more, aliments estimated utilizing different clinical lists and wellbeing markers. We characterize the physical wellbeing as one’s capacity to genuinely work and perform workday today exercises without limitations. Improvements/Applications: Seen sexual orientations separations is related to sparse representatives occupations perspectives, physical wellbeing results and practices
	:	10.22362/ijcert/2020/v7/i07/v7i0602
DOI Link	:	https://doi.org/10.22362/ijcert/2020/v7/i06/v7i0602

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Paper Title	:	Diagnosing Chronic Obstructive Pulmonary Disease (COPD) Using Bayesian Belief Network
Authors	:	Alile Solomon.O, Bello Moses.E, , ,
Affiliations	:	1 &2 : Computer Science, Faculty of Physical Sciences, University of Benin, Benin City, Nigeria
Abstract	:	Chronic Obstructive Pulmonary Disease (COPD) is a death-defying respiratory tract ailment that causes trouble in breathing which deteriorates after some time. COPD is an umbrella term used to order the amalgamation of Chronic Bronchitis and Emphysema. The manifestations of this infection are frequent coughing, fatigue, sweating, breathlessness, tiredness, weight loss, wheezing, fast heart rate, fast breathing and chest tightness just to name not many. This malady is pervasive with individuals whose age ranges from 30 or more and afterward arrives at its top in patients over 50. Because of the covering manifestations this malady imparts to other respiratory tract illnesses; it is in some cases under-analyzed and misdiagnosed a circumstance which is much uncontrolled in Sub-Sahara Africa. In time past, COPD has caused a large number of deaths overall yearly because of absence of early determination of the illness. In ongoing past, a few frameworks have been created to analyze this non-transmittable malady, yet they produced a ton of bogus negative during testing and couldn't identify COPD because of its covering side effects it imparts to other respiratory tract illnesses. Consequently, in this paper, we proposed and developed a model to foresee COPD utilizing an AI procedure called Bayesian Belief Network. The model was structured utilizing Bayes Server and tested with data gathered from COPD medical repository. The model had a general expectation precision of 99.98%; 99.79%, 95.91% and 98.39% sensitivity of COPD, Chronic Bronchitis and Emphysema in that order.
	:	10.22362/ijcert/2020/v7/i06/v7i0601
DOI Link	:	https://doi.org/10.22362/ijcert/2020/v7/i06/v7i0601

Paper Title	:	Secure Authentication Mechanism in IoT Based Healthcare System
Authors	:	Anita Chaudhari, Janice Rodrigues , Aparna Vattamparambil , Revati Warang, Vidya More
Affiliations	:	Information Technology, St. John College of Engineering and Management, Mumbai University, India
Abstract	:	In today's world, security is the most significant concern. We produce tons of data that must be unbroken secure. Be it our data or data associated with a transnational company. The data can be protected with the usage of authentication and authorization. Authentication and authorization help to verify and validate a user's identification. Applications in today's society are swaying towards IoT concepts as this delivers them agility, competency, conventionality, and future-proof. However, this winds up into a higher security risk. The projected system proposes a multi-factor authentication methodology or, in simple terms, presents a 3-way authentication. This constitutes the well-known authentication levels that are the password and OTP but mainly focuses on the third step signifying the most protected method of authentication that's the challenge-response pair mechanism. The generated challenge is exclusive to each user, and therefore, the gadget.
	:	10.22362/ijcert/2020/v7/i05/v7i0503
DOI Link	:	https://doi.org/10.22362/ijcert/2020/v7/i05/v7i0503

Paper Title	:	Family Responsibilities Make a Barrier in the Career of Female Faculty
Authors	:	Mrs.Deepa Sharma, Dr. C. Venkateswaran, , ,
Affiliations	:	1-Management, Maharishi Markandeshwar Institute of Management, Maharishi Markandeshwar (Deemed to be University) Mullana, Ambala, India ; 2- Management, Maharishi Markandeshwar Institute of Management, Maharishi Markandeshwar (Deemed to be University) Mullana, Ambala, India
Abstract	:	Background/Objectives: This paper presents how to maintain family responsibilities and their careers successfully. Working women in daily life faced many challenges. To identify the problems among family responsibilities and their careers. Methods/Statistical analysis: In this paper sample data is 120 to be used to get the appropriate results. SPSS tools used to convert the information in statics data. Demographic of respondents and Descriptive statistics used to reach the results. And the study of all factors impacts on respondents to maintain a balance between family responsibility and their careers. Correlation shows between family responsibility and growth in careers. Collection of data respondents are working in the academic sector. Findings: In this paper, we found its fact a working woman faced many problems to maintain the balance between their professions and care for their families. So in this paper, all issues describe how to female managed the family responsibilities and job stability with growth. It's very critical situations handled by them. Many problems and challenges suffered by female faculty in the education sector. That's why behind the reason some time women quit their jobs. The workplace is seen as men's space and engaging of women is taken as lack of regard. Regardless, this technique is rapidly advancing now, and cash related similarity as other social components have not quite recently extended the number of working women in all circles of life, yet what's more, have improved the value of their non-conventional duty towards society. Sometimes women faced unhealthy jokes on women at the workplace. The main reason of behind these issues as unformulated manners unhelpful concepts in the effective atmosphere, nonappearance of beliefs, deception group effort, is deficient in leaning along with the consumption of an assortment of dialects, stringent ethnicity and convictions etc. Improvements/Applications: In future perspectives study the male also faces these types' problems in their lives. Family responsibilities also make a barrier in their career growth. Male and female has the same family responsibilities, problems and issues faced in their lives.
	:	10.22362/ijcert/2020/v7/i05/v7i0502
DOI Link	:	https://doi.org/10.22362/ijcert/2020/v7/i05/v7i0502

Paper Title	:	Infectivity, Preclusion, and Control (IPC) of Pandemic Novel COVID-19
Authors	:	Digvijay Pandey ,Srith ZithDey Babu,Birhanu Ayenew, Binay Kumar Pandey,Dr NidhiVerma,Wegayehu Enbeyle, Tajamul Islam,Edeh Michael Onyema ,Moisés Filiberto Mora Murillo, Jonathan James O. Canete,P Madhusudana Patra,Lalgoulen Khongsai,
Affiliations	:	1*Department of Technical Education, IET, Lucknow, India. 2-Chittagong independent university, Chittagong, Bangladesh;3-Nursing department, health Science College, Assosa University, Assosa, Ethiopia. 4-Dept of IT, GovindBallabh Pant University of Agriculture and Technolog, U.K, India. 5-Government P.G College for Women, Rohtak, India. 6-MSc in Biostatistics, Mizan-Tepi University, Tepi,Ethiopia; 7-University of Kashmir ,Hazratbal Srinagar ;8-University,KSA,Coal City University,Nigeria; 9-Instituto Superior TecnológicoTsa'chila; 10-De La Salle University, Manila Philippines; 11-SRM DBT Facility, SRM Institute of science and technology, Chennai, India-603203, 12-Department of Commerce, Manipur University
Abstract	:	The developing country is facing this unprecedented disease called COVID-19. Ever since its conception in the area of Wuhan, it is rapidly spreading and creating respiratory disorders not only to humans but also to other species as well, resulting in common colds to further critical conditions, for instance, MERS (Middle-Eastern-Respiratory Syndrome) and SARS (Severe-Acute-Respiratory-Syndrome). Among the identified measures, regular hand-washing, and maintaining social (physical) distance consistent with expert recommendations, the most straightforward available choice to manage the extend of COVID-19. Currently, developing countries have a low health care workforce. Crowded uses of public transportation, lack of sanitation, hiding suspected cases, lack of personal protective equipment for health care providers, and immune-compromised presence make a significant impact.
	:	10.22362/ijcert/2020/v7/i05/v7i0501
DOI Link	:	https://doi.org/10.22362/ijcert/2020/v7/i05/v7i0501

Paper Title	:	Prototype for Design and Development of Video Surveillance Robot
Authors	:	Vikram Jain, Kritika Poojari, Anita Chaudhari, ,
Affiliations	:	Mumbai University, India
Abstract	:	This paper proposes a method for the surveillance in the vicinity of the armed forces where there is exposure to intruders/prosecutor throughout. The Video Surveillance Robot is designed in such a way using the IoT (Internet of Things) it can give an overview of the operations all over. The armed forces require 24×7 vigilance, which is not feasible for human because of invasion of the intruders, which is extensive at times. In earlier days, the robots were composed with an unreliable approach that it had several limitations comparably of expenditure, magnitude, confidentiality, connection and manual surveillance. So, the wireless Video Surveillance Robot plays an essential role in armed forces and becomes a helping hand to the military personnel. The Video Surveillance Robot provides continuous live video streaming of the area on a Webpage or mobile phone with the help of a web camera. And the pi camera captures the images of circumstances and simultaneously uploads them on the Cloud. The ultrasonic sensors detect the obstacle in the lead and find the most extended pathway for continuous supervision. The exclusive Video Surveillance system is implemented on Raspberry Pi3, which includes the Raspbian Operating System, and it operates with the language Python to write a program for numerous segments for the robotic system.
	:	10.22362/ijcert/2020/v7/i04/v7i0406
DOI Link	:	https://doi.org/10.22362/ijcert/2020/v7/i04/v7i0406

Paper Title	:	IoT Based Weather Monitoring System
Authors	:	Suryakant Acharekar, Prashant Dawnade, Binay Kumar Dubey, Prof. Prabhakar Mhadse ,
Affiliations	:	Electronics & Telecommunication, Bharat College Of Engineering, University Of Mumbai
Abstract	:	The IoT Technology provided in this paper is a good option for surveillance the weather data at a particular region and make the data visible anywhere in the world. The idea behind this is Electronic sensors connected to the Public Internet by using IoT technology. The data fetched from the embedded system can be accessible over the Internet from anywhere in the world. In some area, it will be challenging to check and monitor the vital weather parameter through wires and analogue devices during some weather hazards. To resolve this problem here, electronic sensors are used to review and monitor the weather parameters.
	:	10.22362/ijcert/2020/v7/i04/v7i0404
DOI Link	:	https://doi.org/10.22362/ijcert/2020/v7/i04/v7i0404

Paper Title	:	Real-Time Indoor Floor Detection for Mobile Robots using Iterative Approach
Authors	:	Honnaraju B, S Murali, , ,
Affiliations	:	1&2 . Dept. of Computer Science and Engineering, Maharaja Institute of Technology Mysore, Karnataka, India.
Abstract	:	This paper introduces an iterative technique to segmentation of indoor floor from a single 2-D camera connected to a mobile robot. The segmentation of the floor is an essential function for efficient mobile robot navigation, unlike previous approaches which rely on geometric indications, edges etc. Mobile robot mounted with the 2-D camera can capture floors images over long indoor sequences. Both floor and non-floor regions are all of a similar color when the conditions of illumination vary over a single image. The texture of the floor varies over a single image, and features may be lost as lighting changes. As mobile robot rotates, lot of information may be lost in the presence of small obstacles. Some floor areas are very shining under the artificial light condition. The radiant floor gives the wrong segmentation output. In the proposed approach does not require multiple images. The floor patterns are dynamically selected in the proposed research, and segmentation is performed based on the chosen designs. Camera calibration is not required in the proposed approach for floor segmentation. Also, edge cues and geometric cues are not necessary. The extensive experiment is conducted on a broad set of real indoor corridor floor image set.
	:	10.22362/ijcert/2020/v7/i04/v7i0405
DOI Link	:	https://doi.org/10.22362/ijcert/2020/v7/i04/v7i0405

Paper Title	:	Comparing BlockChain with other Cryptographic Technologies (DAG, Hashgraph, Holochain)
Authors	:	Dr. M. R. Arun, Prof. M. R. Sheeba, Prof. F. Shabina Fred Rishma, ,
Affiliations	:	Associate Professor, ECE, PBR Visvodaya Institute of Technology and Science , Nellore, India , 2. Assistant Professor& RS, CSE, Manonmaniam Sundaranar University, Tirunelveli, India, 3. Assistant Professor, CSE, Cape Institute of Technology, Levinjipuram, India
Abstract	:	With the rapid advancement in technological innovation, block Chain has become one of the hottest transformative techniques in the internet domain in recent times. As considered to be a decentralized, distributed and highly encrypted technology in data transfer, the blockchain has restored the trust for secured business transactions by the sophisticated cryptographic algorithm. Here the protocol validates that all nodes are merely synchronized with one another, thus providing security, anonymity, and data integrity without the requirement of any other third party intrusion. Block chain technology which is also known as DLT (Distributed Ledger Technology) that is a great platform for non-physical money transaction such as bitcoin and other online crypto currencies. It is seen as emerging foundational security-based technology having enormous potential across different sectors. Blockchain as a decentralized mode useful for a peer-to-peer network without the essential of any central or controlling authority server. This will, in general, reduce transaction costs, improved security, and execute the financial transaction in real-time. Block chain is significant and not the same as of now existing techniques. Since it empowers disseminated, independent decreases grating in business exchanges with safety and shares decentralized records, this paper gives a discussion on the comparative analysis of block chain technology with other existing technologies.
	:	10.22362/ijcert/2020/v7/i05/v7i0403
DOI Link	:	https://doi.org/10.22362/ijcert/2020/v7/i05/v7i0403

Paper Title	:	A TRADE INTENSITY ANALYSIS BETWEEN INDIA AND UAE SINCE 2001
Authors	:	Saima Farhat, Khalid Ul Islam Rather , , ,
Affiliations	:	1. Department of West Asian and North African studies (Economics), Aligarh Muslim University, UP-202001, India
Abstract	:	International trade has been considered as an engine of economic growth since very long. India has also been involved in trading terms with the world in fact in order to enhance its trading terms, India has adopted economic reforms in 1991 in the form of liberalization, Globalization and Privatization .India’s major trading partners are China, USA, UAE, Germany, Saudi Arabia, Kuwait, Oman .But here we are confined to the study of trade between India and UAE. India is having good trading terms with UAE since 1972 that is from the establishment of UAE.UAE has remained important source for India not only for imports and exports but for remittances also. In this study we have tried to analyze trade intensity index for India with respect to UAE. Study period has been taken from 2001 to 2016.We have found that India’s export intensity index (wrt) UAE, was highest in 2001 estimated as 12.5 while lowest in the year 2010.Then import intensity index highest in 2010 and lowest in 2002.Besides that we have also discussed the composition of trade between the two countries.
	:	10.22362/ijcert/2020/v7/i04/v7i0402
DOI Link	:	https://doi.org/10.22362/ijcert/2020/v7/i04/v7i0402

Paper Title	:	Utilization of Plastic Waste Materials in Manufacturing of Bricks & Paver Blocks
Authors	:	Mr. Abhay Singh Chahal, Mrs. Neetu Balhara , , ,
Affiliations	:	Civil department, Matu Ram Institute of Engineering and Management, MDU University, Rothak, Haryana, INDIA
Abstract	:	The paper elucidates about the proper utilization of plastic materials in civil construction projects. The volume of plastic waste is increased, which results in creating unbalance in the environment by polluting land, air as well as water. According to CPCB (central pollution control board), India generates almost 26,000tonnes of plastic per day. From 26,000tonnes near about 10,000 tonnes a day, the plastic waste remains uncollected, and that plastic ends up in the natural environment mostly in seas. A vast amount of plastic waste is brought from tourist attraction regions, which further burnt and finally leads to toxic gasses that are harmful to even living beings. To outcome from this problem, the use of plastic should be controlled, and plastic waste should be utilized properly so that it does not create pollution. Nowadays, such waste material utilized in a different type of road construction and in other civil construction, which shows the hope of tackling this issue. In brick blocks, carry bags, disposable, PET, HDPE, and PE are used with sand to obtain high strength. These days, plastic waste used as a modifier, which further helps in a reduction in the volume of cement and results as a decrease in the overall cost required to complete the construction work. The plastic helps to raise the melting point for bitumen. Even moisture will not seep from brick due to the presence of plastic, which increases the working periods before any repairs of the building.
	:	10.22362/ijcert/2020/v7/i04/v7i0401
DOI Link	:	https://doi.org/10.22362/ijcert/2020/v7/i04/v7i0401