-22b9b34417bc6092a744974 20220222043429915 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 11 30 2020 9 4 Received Master of Technology in Computer Science and Web Technologies from JNTU Hyderabad, India. Dr. Bagam Laxmaiah Banothu Ramji working Associate Professor in the department of Computer Science and Engineering, CMR Technical Campus, Hyderabad, India. Kotha Mahesh Associate Professor in the department of Computer Science and Engineering, in CMR Technical Campus, Hyderabad, India. Internet of Things (IoT) technology, has been changed every area of human life by making everything. Well-Developed and bright IOT communicates that a network of things or people which make a self-building network. Smart farming food excellently and supportable for the public. High quality farming-based is one of the most important arena systems of increasing food excellently and supportable for the public. High quality farming is one of the well-known applications of IoT in the agriculture are and plentiful establishments are taking advantage of this procedure around the world. One more type of IoT invention in farming and one more element of high-quality farming is harvest management devices. And weather positions, they should be placed in the field to collect data designed only for happening and only with in crop farming, from temperature and rainfall to leaf water and complete crop health. The use of farming-based drones in smart farming. Also called as UAVs (unmanned air vehicles), drones are drones are well prepared than airplanes and satellites to collect farming-based data. With the increasing approval of the Internet of Things (IoT), connected devise have got into every trait of our life from health, home automation, self-pushed and planning required to move people and supplies to where they’re needed, smart cities and industrial IoT. 11 30 2020 242 244 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4787.119420 https://www.ijrte.org/portfolio-item/D4787119420/ Department of Electronics and Telecommunication, VPKBIET, Baramati, Pune, India. Pallavi U. Patil Dr. Sudhir B. Lande Department of Electronics and Telecommunication, VPKBIET, Baramati, Pune, India. Dr. Vinay J. Nagalkar Department of Electronics and Telecommunication, VPKBIET, Baramati, Pune, India. Sonal B. Nikam Department of Electronics and Telecommunication, VPKBIET, Baramati, Pune, India. Camera captured image is a set of three-dimensional picture frame. This picture frame is a set of different characteristics and parameters. Captured picture suffers from image blurring parameters. These blurring parameters are created by camera misfocus, motion, atmospheric causes, camera sensor noise etc. Thus, captured picture is represents the blurry image format due to lot of interferences occurs in the surrounding background and picture captured device. Hence, some information is corrupted i.e. degradation occurs in the camera captured picture. Therefore, it needs to reconstruct the original picture using image restoration process. Restoration operation includes different image deblurring algorithms such as Non-blind deconvolution and Blind deconvolution algorithms. Non-blind deconvolution algorithms are more effective when blurring parameters of captured picture is known but Blind deconvolution algorithm recover the blurry image without prior knowledge about blurring parameters. 11 30 2020 73 78 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4788.119420 https://www.ijrte.org/portfolio-item/D4788119420/ Department of Computer Science and Information Systems AlMaarefa University, PO Box 71666, Riyadh, Kingdom of Saudi Arabia. Ibrahim A. Atoum orona virus is an infectious disease that causes respiratory infections, producing fever, difficulty breathing, and dry cough, which may be more dangerous for people who suffer from chronic diseases. Wearable Devices (WD) have been recently adopted in a wide range of areas to show distinct potentials in the healthcare field. The different types of WDs can be one of the important steps towards improving patient care while reducing the cost based on artificial intelligence (AI) applications. These applications work on big data that arise from WDs despite the existence of various challenges such as user acceptance, security, ethics issues, big data, AI and interoperability. The purpose of this study is to drawthe possibility of utilizing the big data arising from integrating WDs with the electronic Medical records (EMR) through applying AI technologies which in turn will lead to the possibility of employing all of these technologies in predicting COVID-19 infection. 11 30 2020 89 91 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4821.119420 https://www.ijrte.org/portfolio-item/D4821119420/ Computer Science and Applications, St.Peter’s Institute of Higher Education and Research, Avadi, Chennai, Tamil Nadu, India. S. Brindha T. Ajisha Computer Science and Applications, St.Peter’s Institute of Higher Education and Research, Avadi, Chennai, Tamil Nadu, India. Heart Disease is one of the most significant causes of mortality in the world today. Prediction and Diagnosis of Cardiovascular disease is considered as one of the major challenges in the Medical Field especially for Cardiologists. Artificial Intelligence and Machine learning (ML) was popularly employed for pattern prediction and it was noticed that these Intelligent Mechanisms were used in Medical Feld for better Heart Disease Pattern Prediction. Thus more researchers were focusing Machine Learning based Data Mining Classifiers for Heart Disease Pattern Prediction and Diagnosis in the healthcare Industry especially for Cardiologists. This research work identified the recently proposed Hybrid Random Forest with a Linear Model (HRFLM) Classifier for improving the classification accuracy for the cardiovascular disease patterns prediction well in advance and Diagnosis as well. However, it was noticed that for improving the performances better in terms of Accuracy, Sensitivity, Specificity, Precision, FScore and False Positive Rate FPR, needed an efficient classifier. Thus this work developed and implemented an efficient Classifier ensemble Nu-SVC Classifier and Weighted Random Forest Classifier. From the experimental results, it was noticed that the proposed Ensemble Classifier performs better as compared with that of existing Hybrid Classifier in terms of in terms of Accuracy, Sensitivity, Specificity, Precision, FScore and False Positive Rate FPR 11 30 2020 109 114 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4824.119420 https://www.ijrte.org/portfolio-item/D4824119420/ Professor at the Department of “Building Structures” of the Faculty of “Construction of Buildings and Structures” of the Tashkent Institute of Architecture and Construction, Tashkent, Uzbekistan. Mirzaev Pulat Akhmedov Barkhayot Ph.D. doctorate at the Department of “Building Structures” of the Faculty of “Construction of Buildings and Structures” of the Tashkent Institute of Architecture and Construction, Tashkent, Uzbekistan. Shamansurova Zulaykho Master’s student of the 2nd year at the Department of “Building Structures” of the Faculty of “Construction of Buildings and Structures” of the Tashkent Institute of Architecture and Construction, Tashkent, Uzbekistan. The search for alternative methods of replacing steel reinforcement in load-bearing reinforced concrete structures with composite polymer reinforcement is an urgent scientific and practical task. Composite reinforcement (basalt-plastic, fiberglass) is an economically viable alternative to steel reinforcement; it possesses high tensile strength and chemical resistance, light weight (more than 4 times lighter than the steel ones), low thermal conductivity, radio transparency, dielectric properties. Such properties make it possible to use this type of reinforcement of concrete structures in civil, industrial, and road construction. Only in recent years, the specialists in Uzbekistan have paid special attention to the need for composite polymer reinforcement in construction. This type of reinforcement makes it possible to increase the service life of concrete structures and the building as a whole and to reduce the country’s dependence on imports of steel reinforcement. At present the production of basalt-plastic reinforcement is localized in the country – its fiber is made from local basalt. For the possibility of industrial application of composite polymer reinforcement in construction, it is necessary to establish a relationship between a customer, a designer, and a manufacturer. For a customer, the project must be economically profitable, a designer must understand the physical and mechanical properties of the reinforcement and know the regulatory base, and a manufacturer must be interested in producing quality units and assemblies in accordance with the interstate standards, and be sure that the reinforcement produced by him will be in demand. The high deformability of structures caused by the low modulus of elasticity of composite reinforcement does not allow the manufacture of structures that work as bending and eccentrically compressed elements, embedded in reinforced concrete; however, it is noted that such reinforcement can be used in structures for which the requirements for the second group of limiting states are not determinant. The national standards acting in the CIS countries and other states limit the scope of application of composite polymer reinforcement in concrete structures in industrial objects of the economic complex. An analysis of the actual operation of prefabricated road panels, taking into account the low deformation characteristics of basalt-plastic reinforcement, showed the possibility of replacing steel reinforcement with a composite polymer one according to the criterion of uniform strength in terms of design tensile strengths while maintaining the number of working reinforcement bars and their location in reinforcing units.The results of testing the pilot panels of the road surface (prefabricated ones) reinforced with basalt-plastic reinforcement were considered to determine their crack resistance and bearing capacity. The test results of experimental road panels show that the bearing capacity not only decreased but substantially increased. The high corrosion resistance of basalt-plastic reinforcement, when used in road panels, contributes to an increase in the service life of such panels, since the values of crack opening under operational loads are set lower than the permissible limit values. The results of this study show that it is possible to expand the scope of industrial application of basalt-plastic reinforcement in the production of precast concrete structures, for example, for road construction. To do this, it is necessary to create a regulatory framework based on the results of relevant research work. 11 30 2020 143 147 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4826.119420 https://www.ijrte.org/portfolio-item/D4826119420/ Department of Information Technology, Sri Sivasubramaniya Nadar College of Engineering, Chennai, India. Shanmuga Skandh Vinayak E Venkatanath A G S Department of Information Technology, Sri Sivasubramaniya Nadar College of Engineering, Chennai, India. Shahina A Department of Information Technology, Sri Sivasubramaniya Nadar College of Engineering, Chennai, India. Nayeemulla Khan A School of Computing Sciences and Engineering, Vellore Institute of Technology, Chennai, India. Ever since its early inception in the year 2005, YouTube has been growing exponentially in terms of personnel and popularity, to provide video streaming services that allow users to freely utilize the platform. Initiating an advertisement-based revenue system to monetize the site by the year 2007, the Google Inc. based company has been improving the system to provide the users with advertisements on them. In this article, 7 recommendation engines are developed and compared with each other, to determine the efficiency and the user specificity of each engine. From the experiments and user-based testing conducted, it is observed that the engine that recommends advertisements utilizing the objects and the texts recognized, along with the video watch history, performs the best, by recommending the most relevant advertisements in 90% of the testing scenario. 11 30 2020 115 119 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4846.119420 https://www.ijrte.org/portfolio-item/D4846119420/ Civil Engineer, Salt, Jordan. Surat Mahmoud Awwad Al-Qummaz This research aims to identify the reality of paved asphalt roads in the city of Salt in the Hashemite Kingdom of Jordan, and to address defects and problems related to asphalt roads, their causes and possible treatment methods to provide safe and smooth driving, and reduce the number. Of accidents and road rehabilitation costs, the research used field survey to construct roads, and the research concluded that recommendations were made to construct asphalt roads to maximize economic growth, create jobs, and prosperity – the quality of roads is one of the main considerations for developers using selected to do business in the society. 11 30 2020 161 165 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4868.119420 https://www.ijrte.org/portfolio-item/D4868119420/ Professor, PG and Research Department of Commerce, K.S.R College of Arts and Science, Tiruchengode, Namakkal, India. Dr. K. Ramesh Ms. Violet Glady.P Research Scholar, Department of Commerce, Periyar University, Salem, India. & Asst. Professor, Department of Commerce Stella Maris College, Chennai, India. Change is permanent in any area of business and every other sector. Digital transformations in agriculture sector stimulate to the growth and development in agriculture and to the economy at large. Digital innovation in agriculture is an inevitable concept to attain maximum output and yield that reduces the loss arising out of poor cultivation techniques. In India agriculture provides livelihood for about 60% of the population, among this population majority of them are small-scale farmers of which agriculture subsidies are majorly used by large-scale and medium-scale farmer. The unequal distribution of subsidies to farmer is one of the major causes for farmer’s suicides in India which recorded for at least 10 per day as of 2017 and 2018 record. This situation can be combated by proper distribution of subsidy and by shifting cultivation methods and technique in nation at large. Indian farmers can attain profitability, productivity and progress only by adapting to technological innovation in production. This paper is an attempt to bring out the needs for change in agriculture production techniques by which farmers can expect maximum profit and maximum yield. It also elaborates how digital and physical innovation helps farmer in attaining maximum yield in limited time incurring less cost. This paper takes into account primary data to justify that transformation in agriculture is mandate to attain growth and development in this current era. 11 30 2020 148 153 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4869.119420 https://www.ijrte.org/portfolio-item/D4869119420/ Dept. of Information Systems, King Faisal University, Kingdom of Saudi Arabia. Amjad Almutairi Majed Alshamari Dept. of Information Systems, King Faisal University, Kingdom of Saudi Arabia. Different e-commerce applications aim to utilize different techniques and methods to enhance their usability and persuasive design experience. Persuasive design persuades users to use an application. Users also review the applications they use and provide comments based on their experiences. Therefore, this study aims to examine that to what extent the principles of the persuasive systems design (PSD) model have been implemented in a number of e-commerce applications in Saudi Arabia based on user reviews. Users’ reviews have been extracted using Appbot tool. Filtering and categorizing the collected users’ reviews took place before analyzing the data. The filtering and categorization were based on PSD model. The results demonstrate which principles of the PSD model are highly used in the selected applications based on users’ reviews. Tailoring, tunneling, and reductions principles have been reported to be positively utilized and implemented by the selected applications. Moreover, the findings report different users’ reviews on rewards and social supports principles. 11 30 2020 120 125 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4872.119420 https://www.ijrte.org/portfolio-item/d4872119420/ Postgraduate Student IT Department, FCIT, Sana’a University, Sana‟a, Yemen. Ibrahim A. Thiyeb Dr. Sharaf A. Alhomdy Associate Prof., IT Department, FCIT, Sana’a University, Sana‟a, Yemen. Nowadays, with the huge development of information and computing technologies, the cloud computing is becoming the highly scalable and widely computing technology used in the world that bases on pay-per-use, remotely access, Internet-based and on-demand concepts in which providing customers with a shared of configurable resources. But, with the highly incoming user’s requests, the task scheduling and resource allocation are becoming major requirements for efficient and effective load balancing of a workload among cloud resources to enhance the overall cloud system performance. For these reasons, various types of task scheduling algorithms are introduced such as traditional, heuristic, and meta-heuristic. A heuristic task scheduling algorithms like MET, MCT, Min-Min, and Max-Min are playing an important role for solving the task scheduling problem. This paper proposes a new hybrid algorithm in cloud computing environment that based on two heuristic algorithms; Min-Min and Max-Min algorithms. To evaluate this algorithm, the Cloudsim simulator has been used with different optimization parameters; makespan, average of resource utilization, load balancing, average of waiting time and concurrent execution between small length tasks and long size tasks. The results show that the proposed algorithm is better than the two algorithms Min-Min and Max-Min for those parameters. 11 30 2020 209 218 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4874.119420 https://www.ijrte.org/portfolio-item/D4874119420/ Department of EEE, ATMECE, Mysuru, India. Sathish K R Dr. T Ananthapadmanabha Former Principal of NIEIT, Mysuru, India. In this work, the Impact of integration of multiple Photo Voltaic distributed generators (PV-DGs) on power quality of the distribution system is analyzed under static and dynamic loads. Major power quality parameters considered for the analysis are voltage deviation (VD), Total Real power and reactive power line losses (PT L & QT L) and Total Harmonic Distortion of Voltage at Buses (THDv). Test system considered for the study is the IEEE-9 bus test system and types of loads considered are Static RL and Induction motors. Modeling and simulation of test system, PVs and Induction motor loads are carried out in MATLAB/SIMULINK software package. 11 30 2020 166 170 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4875.119420 https://www.ijrte.org/portfolio-item/D4875119420/ Variety Art Department, Kyiv National University of Culture and Arts, 36, Konovaltsia, Kyiv, Ukraine. T. Sovhyra The article is a comprehensive analysis of projects aimed at studying AI technologies and culture interaction. The author examines the specifics and uniqueness of art works created through AI-technologies using examples of projects from “Thought Works Arts Global Research”, “Innovation Laboratory of New Technologies”, “Isolation Foundation” and “IZONE Creative Association”. The article analyzes the principle of selection of materials, algorithmic analysis of data, the interdependence of digital data received from the user’s brain impulses with audiovisual content, the possibility of instant data processing in the process of creating an artistic product. The author explores the principles of tracking brain function and decoding human genetic data, which are used to create art projects. The article assesses the potential that AI possesses and explains the conditions necessary for the implementation of AI-technology in culture. As a result of the study, the author revealed that through algorithmic analysis it is possible to transform digital data into a system of expressive signs of visual and sound arts, to broadcast the received audiovisual content. The author finds out that through these technologies it is possible to create interactive art forms (interactive film, installations, immersive presentations, etc.) 11 30 2020 126 130 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4880.119420 https://www.ijrte.org/portfolio-item/D4880119420/ Education Technology and Information Science Department, Faculty of Technical Education, King Mongkut’s University of Technology North Bangkok, Bangkok, Thailand. Sawanan Dangprasert The main purpose of this study aimed to develop the chatbot designed for the graduate students’ guidance services, which were divided into two major phases: Phase 1: The development of chatbot designed for the graduate students’ guidance service, and Phase 2: The effects of chatbot’ s implementation for the graduate students’ guidance service. The data were statistically analyzed using mean, standard deviation and content analysis. The development of chatbot designed for graduate students’ guidance services conceptualized with the theory of design and the development of machine learning process together with the theory of flat “dialogflow”-called flat form technology taken from Google. In academic collaborations with graduate students studying at the master’s and doctoral levels, as well as the measurement and evaluation-related experts considered the suitability of the chatbot-oriented question and answer structures. Specifically, the educational technology and information technology-related experts’ tryout and evaluation were all implemented for its effectiveness of chatbots. The findings of the study revealed that all the aspects of the applications of chatbot, with its 𝑥 of 4.66 were rated at a very effective level as compared to all the aspects, it showed that the experts’ similar opinions toward the graduate students’ guidance services were mostly found. On the other hands, the graduate students’ satisfactions on their graduate students’ chatbot services, with its 𝑥 of 4.52 were all rated at a very high level as compared to each aspect, it showed that the experts’ similar opinions toward the graduate students’ guidance services were mostly found. The results of the study have shown that the chatbots designed to provide the graduate students’ advices were only one essential element that helped promote its research processaccording to comparing the correlations of thesis progress and the frequency use of chatbots. Also, in terms of designing the structures of questions with its answers, all the aspects of graduates’ instructional management should be extensively manifested for making them more effective. 11 30 2020 154 160 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4893.119420 https://www.ijrte.org/portfolio-item/D4893119420/ Department of Computer Science and Engineering, Nitte Meenakshi Institute of Technology, Bangalore. S.K. Anisha S. Chandana Department of Computer Science and Engineering, Nitte Meenakshi Institute of Technology, Bangalore. J.J. Teresa Department of Computer Science and Engineering, Nitte Meenakshi Institute of Technology, Bangalore. Department of Computer Science and Engineering, Nitte Meenakshi Institute of Technology, Bangalore. S. Varma M. N. Thippeswamy Department of Computer Science and Engineering, Nitte Meenakshi Institute of Technology, Bangalore. In today’s world, one of the major issues that women all across the globe face is threats to their safety and security. This paper presents a quick safety device that responds immediately when women are in danger. The device is equipped with a button and on pressing the button, a “HELP” message is sent along with the location coordinates to the trusted contacts via an SMS. The device is also capable of capturing an image and a video which can then be analyzed to identify the perpetuator. When a woman feels threatened or she finds herself in a compromising situation, she can use this device for her safety. 11 30 2020 171 177 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4894.119420 https://www.ijrte.org/portfolio-item/D4894119420/ Assistant Professor Department. of computer science, Aryabhatta College, University of Delhi. Dr. Priti Jagwani Social media has become one of the widely acclaimed tool for sharing information as well as expressing ideas and emotions. The work depicts the dual aspect task of analyzing and comprehending data available on Twitter platform. This is done using NLP techniques. Using Latent Dirichlet Allocation (LDA) topic technique; the major topics discussed in tweets (of data set taken), have been identified. The input for this Latent Dirichlet Allocation is given by NLP technique – Bag of Words. For further processing, identification of the underlying emotions contained in tweets using the techniques of Sentiment Analysis is done. The result of sentiment analysis is in the polar form. As a case study, a scenario of admissions in India for UG and PG has been considered. The whole process has captured the opinions of stake holders taking part in the admission process. Tweeter data of Indian Institute of Technology (IIT) admission has been used to collect the data in order to conduct the experiment. Major topics discussed in tweets and the fundamental emotions contained are obtained as results along with the polarity of the tweets. 11 30 2020 219 223 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4895.119420 https://www.ijrte.org/portfolio-item/D4895119420/ Department of Master of Computer Applications, Nitte Meenakshi Institute of Technology, Yelahanka, Bengaluru, Karnataka. Lakshmi Narayan B N Smriti Rai Department of Master of Computer Applications, Nitte Meenakshi Institute of Technology, Yelahanka, Bengaluru, Karnataka. Dr. Prasad Naik Hamsavath Department of Master of Computer Applications, Nitte Meenakshi Institute of Technology, Yelahanka, Bengaluru, Karnataka. This review paper presents about the study of De-Materialization of Network known as Network Virtualization in SDN(Software-Defined Networking). It interprets the different paths to network virtualization in SDN. Also defines some contrasting mechanism to allocate resources. 11 30 2020 375 377 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4900.119420 https://www.ijrte.org/portfolio-item/D4900119420/ Assistant Professor, Dept. Of MCA NMIT, Bengaluru, India. Mariyan Richard A Dr. Prasad Naik Hamsavath HOD, Dept. Of MCA. NMIT, Bengaluru, India. Suhas A Dept. Of MCA NMIT, Bengaluru, India. Drakshaveni G Assistant Professor, Dept. of MCA, BMSIT, Bengaluru, India. Due tothe current pandemic of COVID-19, the world has turned into ONLINE modeand an increase in online communication thereby information exchange, sharing useful data through emails and other social Medias. So addressing the security issues places a vital role in computer security and shouldhave thepriorities. We need a security check to enhance the inbox so that the important information or emails should not reach to the spam box. In this paper to improve the filtering techniques, wehave adopted the Naïve Bayes approach in implementation and enhancing the spam filter in the email. Bayes’s approach is efficient, accurate, and simple in implementing the proposed algorithm. Bayes algorithm is used to verify correct semantic information of the email and avoidsthe pass to pass approach if the incoming mail is important. The Python language is used to develop the proposed algorithm. 11 30 2020 282 288 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4904.119420 https://www.ijrte.org/portfolio-item/D4904119420/ Department of Information Technology, Murang‟a University of Technology, Muranga, Kenya. James Maina Mburu Geoffrey Muchiri Muketha Department of Computer Science, Murang‟a University of Technology, Muranga, Kenya. Aaron Mogeni Oirere Department of Computer Science, Murang‟a University of Technology, Muranga, Kenya. Software testing is one of the vital steps in software development life cycle. Test case generation is the first process in software testing which takes a lot of time, cost and effort to build an effective product from the start. Automatic test case generation is the best way to address this issue and model-based test case generation approach would be suitable for this automation process. One way to generate test cases automatically is by generating test cases from Unified Modeling Language (UML) models. The challenge with the existing test case generation techniques using UML models is that they provide a single view, meaning that the techniques capture a single aspect of the system, such as structural or behavioral but not both. In this paper, we have successfully developed a technique that automatically generates test cases which capture both structural and behavioral views of the system. These test cases can help to discover software faults early in the software development cycle. Finally, we conducted an experiment by comparing our technique with a manual process. The results show that the proposed technique can produce same test cases as manually writing test cases of the same system model but this technique saves a lot of time, effort and cost as well. 11 30 2020 185 196 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4908.119420 https://www.ijrte.org/portfolio-item/D4908119420/ University of Malaysia Terengganu. Azlina Musa Mohd Nasir Hashim University of Malaya. Developments in mobile technology today are also changing the pattern of learning. Accordingly, learning is not only concentrated in the classroom but can occur anywhere and anytime using mobile devices and supported with mobile technology. In addition, dance class learning is a limb movement that follows the rhythm of music. Learning dance skills requires physical strength to master the dance. Therefore, learning dance classes online through learning applications such as google meet is to identify dance capabilities during the implementation of learning in virtual space. This study is based on qualitative methods and quantitative methods. Questionnaires on 200 students were conducted as a complement to the study. Interviews with students were also conducted. The results of this study show that students do not show interest in learning dance online. Difficulty of students understanding and demonstrating the dance movements learned. The conclusion is that dance cannot be performed in online learning with the google meet application. On the other hand, dance learning is not feasible in online learning because there are barrier factors that restrict online dance learning due to the intermittent internet. Accordingly, dance is still relevant to conventional face-to-face learning in the classroom to produce skilled dancers. 11 30 2020 224 227 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4909.119420 https://www.ijrte.org/portfolio-item/D4909119420/ Associate Professor of Civil and Structural Engineering, Annamalai University Annamalai Nagar, (Tamil Nadu), India. Gokul A Dr. A. Prabaghar Associate Professor of Civil and Structural Engineering, Annamalai University Annamalai Nagar, (Tamil Nadu), India. The construction industry is the most important factor to develop a powerful impact in economic growth all over the world. In construction, there are several activities which create a waste. Those activities will not increase the profit of the whole projects. So, the lean construction tools can reduce the construction waste at any stages of project. Reducing the wastage will improve the project execution, provide value for customers and positive results on the national economy. 11 30 2020 267 270 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4913.119420 https://www.ijrte.org/portfolio-item/D4913119420/ Assistant Professor, Department of Statistics, Madras Christian College, Chennai (Tamil Nadu), India. M. Salomi R. Lakshmi Priya Assistant Professor, Department of Statistics, Dr. Ambedkar Govt. Arts College, Chennai (Tamil Nadu), India. Manimannan G Assistant Professor, Department of Mathematics, TMG College of Arts and Science, Chennai (Tamil Nadu), India. N. Manjula Devi Bio Statistician, Department of Community Medicine, Karpaka Vinayakar Institute of Medical Sciences, Chengalpet, (Tamil Nadu), India. This research paper attempts to identify the textile data structure and hidden pattern of original database with certain important parameters. The main objectives of this study are to identify the first n number of factors that explained over the study period. Initially factor analysis is performed to extract factor scores. Principal extraction is performed through Data mining package with sixteen textile fabrics parameters. Factor extraction is aimed to uncover the intrinsic pattern among the textile parameters considered and an important point of factor analysis is to extract factor scores for further investigation. Thus, factor analysis consistently resulted in three factors for the whole datasets. The amount of total variation explained is over 75 percent in factor analysis with varimax rotation. The factor loadings or factor structure matrix with unassociated rotation methods are not always easy to interpret. The nonhierarchical k-mean clustering is also used to identify meaningful cluster based on their parameter means of original database. 11 30 2020 228 232 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4921.119420 https://www.ijrte.org/portfolio-item/D4921119420/ Computer Science, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia. Abdulrahman M. Qahtani Designing software for use by multiple clients has become commonplace in the software sector and has led to many vendors focusing on developing software for a specific sector, marketing the product then modifying it to a customer’s requirements. To fit the software to the client’s needs involves a unique form of teamwork, and it is usually an offshore team that processes the requests and implements the changes to the initial infrastructure. Unfortunately, this contravenes organizations’ information security requirements, due to their multiple structures and infrastructures and their need for privacy as well as swift processing of requests at reasonable cost. This study proposes a hybrid model, the Onshore Agile Security Requirements Development (OASRD) model, which uses Agile to meet the security implications arising from the onshore team working at the client’s site while it processes the customization requirements. It investigates the impact of the model on productivity, measured by the number of security and customization requirements that are processed and the estimated cost in terms of human resources. The evaluation reveals a statistically significant increase in productivity of about 40%, accompanied by a reduction in cost of more than 48% over the entire customization process, demonstrating the advantages of customizing packaged software through distributed development. 11 30 2020 245 253 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4933.119420 https://www.ijrte.org/portfolio-item/D4933119420/ Assistant Professor, Department of Management, ICFAI University, Rajawala Road, Selaqui, Central Hope Uttarakhand, India. Dr. Rashmi Choudhary Pooja Prakash Srivastava Research Scholar, Department of Management, ICFAI University, Rajawala Road, Selaqui, Central Hope Uttarakhand, India. This paper outlines one of the pivotal ambiance issues cladding India is that of speck contamination from the ignition of hydrocarbon deposits. This has sincere fitness outcomes and with the swift ballooning in the fiscal stability these influences are expanding. Along with it, the expansion of monetary condition is a mandatory and strategy designers are anxious about the feasibility that contamination depletion actions could lower extension remarkably. When look back over centuries, the thesis of progress has walked a long distance. It commenced with an emphasis on monetary advancement and progress, and gradually has landed to a station where explorers, authorities and academicians are searching at more comprehensive designs of livelihood than just simple progress. Imperishable evolution, gradually, has become the most significant conception at present and supplies a more understandable meaning of progress, associating up bionomical amenities and standard of living with monetary advancement. Such a prototype move in a stage of less than a centenary is no less than a innovation. 11 30 2020 233 236 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4938.119420 https://www.ijrte.org/portfolio-item/D4938119420/ School of Mechanical Engineering, Xi’an Technological University, Xi’an, China. Gao Honghong Ravi Pratap Singh School of Mechanical Engineering, Xi’an Technological University, Xi’an, China. Rahul Kumar Singh School of Computer Science, Aisect University , Bhopal, India. Magnesium alloys have a tremendous possibility for biomedical applications due to their good biocompatibility, integrity and degradability, but their low ignition temperature and easy corrosive property restrict the machining process for potential biomedical applications. In this research, ultrasonic vibration-assisted ball milling (UVABM) for AZ31B is investigated to improve the cutting performance and get specific surface morphology in dry conditions. Cutting force and cutting temperatures are measured during UVABM. Surface roughness is measured with a white light interferometer after UVABM. The experimental results show cutting force and cutting temperature reduce due to ultrasonic vibration, and surface roughness decreases by 34.92%, compared with that got from traditional milling, which indicates UVABM is suitable to process AZ31B for potential biomedical applications. 11 30 2020 271 276 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4941.119420 https://www.ijrte.org/portfolio-item/D4941119420/ October University for Modern Sciences and Arts MSA. Associate Prof. Samer I. Mohamed For decades, agriculture has been an essential food source. According to related statics, over 60% of the total earth population mainly depend on agriculture’s sources for their primary feed. Unfortunately, one of the disaster problems that affect badly on agriculture production is plant diseases. There are about 25% of agriculture production lost annually because of plant diseases. Late and Early Blight diseases are one of the most destructive diseases that infect potato crop. Although, the late and inaccurate detection of plant diseases increases the losing percentage for the crop. The main approach of our proposed system is to detect early the plant diseases to decrease the plant’s production losses by using a diagnosis and detection system based on the Convolution Neural Network (CNN). We used CNN to extract the diseases features from the input images of the supported training dataset for classification purposes. For model training, 1700 of potato leaf images were used, then the testing process is done by using approximately 300 images and 100 images for fine tuning and parameters calibration against any biased data. Our proposed CNN architecture archives 98.2% accuracy, which is higher compared with other approaches run on the same dataset. 11 30 2020 254 259 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4954.119420 https://www.ijrte.org/portfolio-item/D4954119420/ Jain University, Bangalore , India. Chaitra Kulkarni Dr. Manoj Manuja Chitkara University Rajpura, Punjab, India. Dr. R Suchithra Jain University, Bangalore , India. With the rapid growth of e-commerce, online product and service monitoring is becoming more and more established as an important source of information for both sellers and customers. Emotional surveys and comments for online review analysis are gaining more and more attention as such studies help use information from online reviews for potential economic impacts. Twitter is a widely used social networking site and a trusted source of public opinion. The success of the film can be predicted by analyzing the tweets and researching the impact of the film. This report discusses the application of emotional analysis and in-depth machine learning methods to understand the relationship between online movie reviews, and this story is used to generate revenue at the movie box office. In this paper, this work present a Intelligent Extensive Information Rich Transfer Network (IEIRTN). It is modeled with information from sentences (i.e., reviews) and aspects simultaneously. First, IEIRTN extract all aspects of the sentence. After obtaining the aspects, it utilize all data in the source domain and the target domain for training Multiview Light Semi Supervised Convolution Neural Network (MLSSCNN) classifier. To understand the predictive performance of this approach several performance metrics are used. The experimental result shows that the MLSSCNN offers a superior predictive effect than other classifier. 11 30 2020 260 266 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4957.119420 https://www.ijrte.org/portfolio-item/D4957119420/