19c96fd517d854497e8-2c39 20220209060642222 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/ 05 30 2021 10 1 Assistant Professor, Department of Architecture, School of Planning and Architecture, University of Mysore, Mysore. Yashaswini S Shankar B Director, School of Planning and Architecture, University of Mysore, Mysore. Improving the Accessibility of Urban Green Space (UGS) is an integral part of city planning system. People with better access to green space enjoy a wide range of health benefits. Therefore, it is a crucial element to be taken care and nourished in a land use framework. Mysore City is one of the planned large cities in India. The City had a population of about 0.9 million in 2011 and it is estimated to cross the million mark by 2021. There is a growing consciousness on health and wellbeing among the people resulting an increasing demand for urban green spaces both at neighbourhood and city levels. The accessibility helps in promoting usage of UGS and maintaining the balance in environment within the city areas. The main aim of this paper is to study the existing scenario of the UGS within the planning district-12 and to analyse the green space accessibility. The land use of Mysuru city is analysed to understand the city and the micro level land use analysis of Planning district-12 is made. The existing scenario of the UGS within the study area and its accessibility is analysed using different accessibility indicators. Considering the key findings, issues and challenges are identified. Later the suggestions and recommendations for the identified issues is proposed to enhance the green spaces quality and accessibility at neighbourhood levels. The Accessible Natural Green space Standard (ANGst) type of accessibility analysis has been carried to know UGS functionality. Henceforth urban green space network at Planning District levels (local levels) in the City of Mysuru is prepared as a model which can be implemented to the city as whole at the later stages 05 30 2021 137 141 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A5802.0510121 https://www.ijrte.org/portfolio-item/A58020510121/ Student, Department of Applied Mathematics, Delhi Technological University, Delhi, India. Gourav Garg Ashutosh Sharma Student, Department of Applied Mathematics, Delhi Technological University, Delhi, India. Anshul Arora Assistant Professor, Department of Applied Mathematics, Delhi Technological University, Delhi, India. Over the past few years, malware attacks have risen in huge numbers on the Android platform. Significant threats are posed by these attacks which may cause financial loss, information leakage, and damage to the system. Around 25 million smartphones were infected with malware within the first half of 2019 that depicts the seriousness of these attacks. Taking into account the danger posed by the Android malware to the users’ community, we aim to develop a static Android malware detector named SFDroid that analyzes manifest file components for malware detection. In this work, first, the proposed model ranks the manifest features according to their frequency in normal and malicious apps. This helps us to identify the significant features present in normal and malware datasets. Additionally, we apply support thresholds to remove the unnecessary and redundant features from the rankings. Further, we propose a novel algorithm that uses the ranked features, and several machine learning classifiers to detect Android malware. The experimental results demonstrate that by using the Random Forest classifier at 10% support threshold, the proposed model gives a detection accuracy of 95.90% with 36 manifest components. 05 3 2021 142 152 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A5804.0510121 https://www.ijrte.org/portfolio-item/A58040510121/ Student, Department of Computer Science and Engineering, Rashtreeya Vidyalaya College of Engineering, Bengaluru, India. T Kishan Singh Pavithra H Assistant Professor, Department of Computer Science and Engineering, Rashtreeya Vidyalaya College of Engineering, Bengaluru, India. Test automation is the usage of software to monitor the execution of experiments and the comparison of actual results with expected results, apart from the software being evaluated. In a formalized web testing method already in place, test automation may automatize certain routine but required tasks and carry out extra testing which can be troublesome to try and perform manually. There is a need to simplify the test case recording process as most of the methods used at present requires the testers to generate scripts using any coding language. Hence, a light weight script less model is developed which uses JavaScript to record mouse and keyboard actions. Selenium framework is used to induce the JavaScript in the browser. Therefore, this paper focuses on developing a lightweight script less model for recording test cases on browsers. 05 30 2021 153 157 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A5810.0510121 https://www.ijrte.org/portfolio-item/A58100510121/ Bachelor of Technology in Electrical Engineering, Delhi Technological University, Delhi, India. Abhishek Aggarwal Atul Tiwari Bachelor of Technology in Electrical Engineering, Delhi Technological University, Delhi, India. Toxic comments are the comments found in the online forums that are rude, offensive, or unfair and usually cause many users to exit the conversation. The threat of bullying and abuse on the internet obstructs the free exchange of ideas by limiting people’s opposing viewpoints. Most of the Websites fail to successfully facilitate healthy conversations, leading them to either restrict or disable user comments entirely. This paper would explore the scope of online abuse and categorize them into different labels to assess the toxicity as accurately as possible using machine learning algorithms. 05 30 2021 185 161 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A5814.0510121 https://www.ijrte.org/portfolio-item/A58140510121/ Assistant Professor, Department of Electronics and Communication Engineering, BLDEA’s V. P. Dr. P. G. Halakatti College of Engineering and Technology, Affiliated to VTU Belagavi, Vijayapur, Karnataka, India. Daneshwari I. Hatti*, Hatti Ashok V. Sutagundar Assistant Professor, Department of Electronics and Communication Engineering, BEC Bagalkot, Karnataka, India. The automation of several applications is creating engrossment in Internet of Things (IoT). The prerequisite for employing IoT in daily life is the ability to interact with devices technologies and process the sensed data. The difficulty to process the sensed data with scarce resources for diverse requests is challenging. Learning the behaviour of changing demand and processing with available resources has resulted in adaptation policy. Adaptation policy by employing Reinforcement learning and Fuzzy logic is proposed to adapt the resources for executing the tasks. Prioritization of task, allocating of resources to the tasks by adapting with available resources with assured Quality of Service (QoS) is performed. Fuzzy Q learning Adaptation Algorithm (FQAA) is designed for evaluating resource adaptation mechanisms to execute the heterogenous tasks. The algorithm with different configuration is simulated using Ifogsim and python. It is compared with traditional method that is without adaptation mechanism, performs better compared to other algorithms in terms of Cost, energy consumption and latency. 05 30 2021 162 167 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A5824.0510121 https://www.ijrte.org/portfolio-item/A58240510121/ Post-Graduate student, Amity School of Engineering and Technology, Amity University Uttar Pradesh, Noida, India. Swathy Krishnan B Prakhar Duggal Assistant Professor, Amity School of Engineering and Technology, Amity University Uttar Pradesh, Noida, India. Ravinder Kumar Tomar Associate professor, Amity School of Engineering and Technology, Amity University Uttar Pradesh, Noida, India. The structure that are widely used around the gold now days are mainly composite structure. These types of models or structures are used to make long span lower story heights and also to give extra stiffness. The past result shows that most of the collapses of buildings occur when the structure is struck with earthquake or seismic load. The poison’s ratio is one of the most integral part which gives stability for the structure. In this research it is about the change is the poison’s ratio that occurs with the change in percentage of steel and the grade of concrete in a reinforced concrete section. The variation in poisons ratio shows the variation in the stability of the structure. The study of the poisons ratio will help in a better practical design of the structure to prevent or the resist the structure from collapse during earthquake. In this paper we will see the experimental variation of the poisons ratio of column and we will analysis the behavior using software. Poison’s ratio usually deals with the lateral strain and linear strain. This poisons ratio was found out by Simeon poison. It is one of the most important aspects in the design of any kind of structure. 05 30 2021 168 172 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A5825.0510121 https://www.ijrte.org/portfolio-item/A58250510121/ Scholar, School of Planning and Architecture, University of Mysore, (Mysore), India. Akshatha N Shankar B Director, School of Planning and Architecture, University of Mysore, (Mysore), India. In recent years of Indian urbanization, the structure of large cities is undergoing rapid land use and land cover changes in lake environs, particularly in Mysore. Mysore is one of the fastest growing tier II cities, located in southern part of Karnataka. The city comprises of several large and small water bodies viz, Karanji Lake, Dalvoy Lake, Kukkarahalli Lake and Devanoor Lake. These lakes play an important role in recharging ground water, regulates microclimate, home for flora and fauna, recreational place for each neighborhood involving in community participation, improve aesthetic of the city and finally influence living condition of the people. Due to rapid transformation of land use and landcover in Mysore has resulted in degradation of water bodies. Dalvoy Lake is one of the major Lakes in Mysore City and it is deteriorating as a result of land use change, growth of industries and urbanization pressures. The total catchment area of Dalvoy Lake is 2165 acres. According to sixth sustainable development goals (clean water and sanitation) targets to protect and restore water-related ecosystems, including wetlands, rivers, and lakes. This paper deals with land use and landcover changes and its analyzing around Dalvoy Lake and its catchment using Remote sensing data and ERDAS imagine software and propose sustainable strategies for environmental improvement and management of the lake. 05 30 2021 173 177 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A5831.0510121 https://www.ijrte.org/portfolio-item/A58310510121/ student, Department of Information Technology, School of Engineering and Technology, Christ University, Bangalore, (Karnataka), India. Haritha Kannanraj Sathish Kumar Ravichandran Assistant Professor, Department of Computer Science and Engineering, School of Engineering and Technology, Christ University, Bengaluru (Karnataka), India. There is a worldwide issue that has increased the number of patients at hospitals, especially as a result of the pandemic. It is difficult for the survivors to attend routine checkups after their surgeries. Our model is helpful to solve the problem. Internet of things (IoT) arrives as a modern technical model, presenting communication and scalability, to clean this challenge. The wireless body space community is gaining quality for IoT related valuable resource packages as wearable devices enter the market. The aim of this paper is to expand the network by incorporating wearable and unobtrusive sensors to track far-flung patients after their surgeries and to receive direct assistance from doctors during an emergency. 05 30 2021 178 183 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A5846.0510121 https://www.ijrte.org/portfolio-item/A58460510121/ Department of Information Technology, Sri Venkateswara College of Engineering, Sriperumbudur (Tamil Nadu), India. Kavyashree Subramonian Dr. G. Sumathi Department of Information Technology, Sri Venkateswara College of Engineering, Sriperumbudur (Tamil Nadu), India. Driving while drowsy is a ubiquitous and extremely grave public health hazard that requires immediate consideration. Through studies in recent years, it has been proved that about 20 percent of all car accidents have occurred as a result of dozy driving. The main objective of new drowsiness detection systems is accurate doziness recognition. In this regard, the face is the most important part of the body as it sends a lot of essential information. The facial expressions of a drowsy driver include frequency of blinking and yawning. This paper proposes a model which detects the drivers’ awareness using video stills of the driver’s face and improves the tracking accuracy. Further, we introduce the auxiliary functionality of speed limit recommendations based on the driver’s present state of mind. The various facial features are evaluated to determine the drivers’ current state. By combining the features of the eyes and mouth, the driver is alerted with a fatigue warning and also suggested a safe speed limit. This system is very essential so as to prevent and hence reduce the number of fatal accidents that occur as a result of dozy driving saving a lot of lives and damage to property. 05 30 2021 184 190 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A5848.0510121 https://www.ijrte.org/portfolio-item/A58480510121/ Department of Computer Science and Engineering, Rashtreeya Vidyalaya College of Engineering, Bengaluru (Karnataka), India. Kamble Namita Mohan Dr. Ramakanth Kumar P Department of Computer Science and Engineering, Rashtreeya Vidyalaya College of Engineering, Bengaluru (Karnataka), India. Software tests must be repeated frequently throughout development cycles to attain certain quality. Every time program code is changed software assessments need to be repeated. Once created, automated tests may be run repeatedly at no extra value and they may be tons quicker than manually conducted test and free from human errors. Automated software program testing can lessen the time to run repetitive tests from days to hours. Test automation can easily run thousands of different complex test cases in each test run, so there is no manual testing involved. But Automation testing has its own disadvantages one of it is that the testers should come from a programming background. To eliminate this dependency over programmers Scriptless automation testing tools are emerging. There are many Scriptless GUI automation testing tools in the market that use various methods to achieve the goal, this paper proposes a new record and playback method to achieve the same using Selenium framework and JavaScript for web application. 05 30 2021 216 219 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A5849.0510121 https://www.ijrte.org/portfolio-item/A58490510121/ School of Information Technology and Engineering Vellore Institute of Technology, Vellore (Tamil Nadu), India. Mohit Gupta Vanmathi C School of Information Technology and Engineering Vellore Institute of Technology, Vellore (Tamil Nadu), India. In today’s trend consumers are very much concern about the quality of the product in turn, Industries are all working on various methodologies to ensure the high quality in their products. Most of consumers judge the quality of the product based on the certification obtained for the product. In Earlier days, the quality is measured and validated only through human experts. Nowadays most of the validation tasks are automated through software and this ease the burden of human experts by assisting with them in predicting the quality of the product and that leads to greater a reduction of time spent. Wine consumption has increased rapidly over the last few decades, not only for recreational purposes but also due of its inherent health benefits especially to human heart. This chapter demonstrates the usage of various machine learning techniques in predicting the quality of wine and results are validated through various quantitative metrics. Moreover the contribution of various independent variables facilitating the final outcome is precisely portrayed. 05 30 2021 314 319 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A5854.0510121 https://www.ijrte.org/portfolio-item/A58540510121/ Lecturer, Accounting, Faculty of Business Administration, Rajamangala University of Technology Rattanakosin University, Thailand. Dr. Pimpavee Maneewong Napaporn Narktim Vice President of Rajamangla University of Technology Rattankosin University, Thailand. Ms. Supavadi Maneewong Lecturer, Accounting, Faculty of Business Administration, Rajamangala University of Technology Rattanakosin University, Thailand. Ms. Urai Makkana Lecturer, Business English, Faculty of Business Administration, Rajamangala University of Technology Rattanakosin University, Thailand. Dr. Bundit Anuyahong Assistant Professor, Department English, College of General Education and Languages, Thai-Nichi Institute of Technology, Thailand. The DBD e-Filing system is a financial statement submission system which is prepared to replace the submission of the original financial statements as a document form leading to increase efficiency and convenience for clients. This research aimed to: 1) study the level of knowledge and understanding of the juristic person responsible for submitting financial statements via DBD e-Filing system; and 2) to study factors affecting the submission of financial statements Via DBD e-Filing system of a juristic company registered with the Department of Business Development. The samplings of this study were 400 juristic persons registered with the Department of Business Development in Prachuap Khiri Khan Province derived through Stratified Random Sampling technique. Mean scores, S.D, t-test and F-test (ANOVA and MANOVA) were formulated for data analysis. The findings were as follows: 1) Entities responsible for submitting financial statements had a high level of knowledge and understanding in the submission of financial statements via the DBD e-Filing system both in overall and in each aspect; and 2) Factors affecting the submission of financial statements via the DBD e-Filing system were: a juristic person responsible for submitting financial statements of education levels and different status had a different influence on the submission of financial statements with statistically significant difference at 0.05 level through knowledge and understanding in the submission of financial statements and ease of use and usefulness in using the system. Moreover, all three factors were shown a positive impact on the submission of financial statements via the DBD e-Filing system. 05 30 2021 191 198 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A5860.0510121 https://www.ijrte.org/portfolio-item/A58600510121/