-4d90550d17f4602e08911fe 20220625034406234 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 2019 8 4 Assistant Professor/Programmer, Department of Computer and Information Science, Annamalai University, Chidambaram, India, S. Saravanan* K. Venkatachalapathy Professor, Department of Computer and Information Science, Annamalai University, Chidambaram, India Traffic congestion is the key problem that occurs across urban metropolises around the world. Due to the increase in transportation vehicles the fixed light time on traffic signals not able to solve the traffic congestion problem. In this paper, First, we develop an IoT based system which is capable of streaming the traffic surveillance footages to cloud storage, then the vehicle count is recorded every 30 sec interval and updated in the traffic flow dataset. Second the traffic flow is predicted using our CNN-LSTM residual learning model. Finally, the predicted value is classified and traffic density at each road section is identified, thereby passing this density value to green light time calculation to set an optimal green time to reduce the traffic congestion. The traffic flow dataset, China is used for training and testing to forecast the short time traffic flow across the road section. Experiment results shows that our model has best accuracy by lowering the RMSE value. 11 30 2019 8323 8330 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8988.118419 https://www.ijrte.org/portfolio-item/D8988118419/ School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China. Muhammad Abubakar* Muhammad Shahzad School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China. Khalil Ur Rehman School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China. Benjamin Doh School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China. Benjamin Kwame Adobah School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China. In real power system, Power quality disturbances (PQDs) have become major challenge due to the introduction of renewable energy resources and embedded power systems. In this research, two novel feature extraction methods multi resolution analysis wavelet transform (MRA-WT) and Multiscale singular spectral analysis (MSSA) have been analysed with convolution neural network classifier for the classification of PQDs. Statistical parameters are also applied for the optimal feature selection. MSSA is time-series tool and MRA-WT are applied for feature extraction and 1-dimensional CNN (1-DCNN) is used to classify the single and multiple PQDs. The architecture is built with forward propagation and back propagation is utilized to tune the data. Finally, the results of two selected feature extraction techniques are compared with classification accuracy. The simulation based results explained that MSSA with 1-DCNN has significantly higher classification accuracy under different noisy conditions. 11 30 2019 6654 6659 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8991.118419 https://www.ijrte.org/portfolio-item/D8991118419/ Department of Mathematics and Statistics, Faculty of Science, Technology and Human Development, Universiti Tun Hussein Onn Malaysia, 86400 Parit Raja, Malaysia. J. Kavikumar* *D. Nagarajan Department of Mathematics, Hindustan Institute of Technology and Science, Chennai, India Yoo Chai Sing Department Third Author Name, Department of Mathematics and Statistics, Faculty of Science, Technology and Human Development, Universiti Tun Hussein Onn Malaysia, 86400 Parit Raja, Malaysia. M. Lathamaheswari Department of Mathematics, Hindustan Institute of Technology and Science, Chennai, India The square of an oriented graph is an oriented graph such that if and only if for some , both and exist. According to the square of oriented graph conjecture (SOGC), there exists a vertex such that . It is a special case of a more general Seymour’s second neighborhood conjecture (SSNC) which states for every oriented graph , there exists a vertex such that . In this study, the methods to square a directed graph and verify its correctness were introduced. Moreover, some lemmas were introduced to prove some classes of oriented graph including regular oriented graph, directed cycle graph and directed path graphs are satisfied the SOGC. Besides that, the relationship between SOGC and SSNC are also proved in this study. As a result, the verification of the SOGC in turn implies partial results for SSNC. 11 30 2019 8331 8335 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8993.118419 https://www.ijrte.org/portfolio-item/D8993118419/ Reader, PG Department of Computer Application, North Orissa University, Baripada, India *Dr.Jibendu Kumar Mantri* Soft computing techniques have become very popular now-a-days as these techniques have replaced the traditional and statistical prediction mechanisms in weather forecasting, stock market prediction, crop prediction, solar energy prediction, and predictions in physics and chemistry etc. Each model has its advantages and disadvantages. Hybrid soft computing model is the mechanism of designing the models by exploiting the advantages of two or more models and suppressing their disadvantages. If the advantages of two or more number of models will be taken together in the new proposed model, then the accuracy in the prediction will be enhanced with decrease in error rate. This paper intends to design a hybrid model by taking the advantages of J48 Decision Tree and Fuzzy Logic andit is used to predict the weather parameters in Delhi with better accuracy. 11 30 2019 9793 9798 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8996.118419 https://www.ijrte.org/portfolio-item/D8996118419/ Assistant Professor, Vardhaman College of Engineering, Department of Civil, Hyderabad-500018,Telangana. Bhavani Chowdary T* Ranga Rao V professor, Koneru Lakshmaiah Education Foundation, Department of Civil, Guntur-522502, AP. From decades it has been recognized that Geopolymer will considerably replace the role of cement in the construction industry. In general, Geopolymer exhibits the property of the peak compressive strength, minimal creep and shrinkage. In this current research paper, Geopolymer mortar is prepared by using GGBS and Fly ash. The mix proportions are of (100-60)%GGBS with Fly ash by 10% replacement. The alkali activators Na0H and Na2Sio3 are used in the study for two different molarities of 4&8. The ratio to Sodium silicates to sodium hydroxide is maintained from 1.5, 2, 2.5 & 3 were used. Mortars are prepared and studied the effect of molarities of alkali activators in their setting times and strengths. 11 30 2019 8336 8342 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8997.118419 https://www.ijrte.org/portfolio-item/D8997118419/ research scholar Computer Applications, Bharath Institute of Higher Education and Research, Chennai. Jasmeena Tariq* Dr Kumaravel Professor and Dean, School of Computing, Bharath University, Chennai. In order to reduce salt & pepper noise in an MRI image of brain, in this paper we make algorithm using 2-dimensional Cellular Automata (CA). Image processing with CA has improved digital image processing in several years. Salt & Pepper noise can corrupt a picture via image transmission (atmospheric disturbance) or faulty sensors in camera or a computer system through hardware. 11 30 2019 5937 5939 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9004.118419 https://www.ijrte.org/portfolio-item/D9004118419/ Research scholar, Department of Economics, Gauhati university, Guwahati, Kamrup, Assam, India Aditya Gogoi* Though the tea sector of Assam is primarily dominated by the estate sector comprising of large tea gardens, the relevance of small scale tea plantation can never be denied as nearly 30% of the state’s tea production is contributed by Small Tea Growers (STGs). In fact the quality of green tea leaves produced by the Small Tea Growers (STGs) has outclassed that of the tea leaves produced by the estate sector. Since tea plantation is a technology intensive practice, the growers are bound to adopt certain technology components like artificial fertiliser, artificial pesticide, HYV clone, artificial water supply facility, etc. All these elements constitute a technology package which helps the tea growers to reap greater benefit in tea cultivation. This study is a humble attempt to investigate the marginal impact of each element of the technology package adopted by the Small Tea Growers (STGs) on their annual green tea leave production. Moreover it also tries to figure out the jeopardised effect of the technology package used in tea cultivation on environment and health. 11 30 2019 9799 9802 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9006.118419 https://www.ijrte.org/portfolio-item/D9006118419/ Assistant Professor, Department of Electrical and Electronics Engineering, Gaya College of Engineering, Sri Krishna Nagar, P.O Nagari Yana, Via Buniyadganij, Pin - 823003, Gaya, Bihar, India Kailash Kumar Mahto* Saptadip Saha Ex. Asst. Professor, Department of Electrical Engineering, National Institute of Technology Agartala, Jirania, Agartala-799046, West Tripura, India. Priyanath Das Department of Electrical Engineering, National Institute of Technology Agartala, Jirania, Agartala-799046, West Tripura, India. This research work proposes an innovative control technique for monitoring the maximum power point of the standalone photovoltaic system fast and precisely at variable solar cell temperature and insolation. In this work, the method uses a Mamdani FIS based fuzzy logic controller which uses bell shaped membership function to track MPPT of the off grid solar module. A sampling process is used to measure the PV array power and voltage that decides an optimal increment of sample which is required to get the optimal operating voltage that permits maximum power tracking. This method provides high accuracy and reliable result around the optimum point. This proposed controller has shown a better performance compare to existing methods with a power conversion efficiency of ~100%. Different steps of designed controller with the proposed method has been shown along with its simulation. 11 30 2019 8343 8348 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9011.118419 https://www.ijrte.org/portfolio-item/D9011118419/ Management Information System, Binus University, Jakarta, Indonesia. Hilda Oktavianni JM* Togar Alam Napitupulu Management Information System, Binus University, Jakarta, Indonesia. Mobile payment services are recently draw special attention of business people in banking and financial technology in Indonesia. The development is based on the use of technological innovations to increase company value and convenience of consumers in the transaction. However, the mobile payment function is not quite attached to the daily needs of users. Besides, by following the growing trends and times that are fully digital, either old or new business people alike want to get as many consumers as possible. Then, to make it happen, they use social media to attract the attention of consumers. Therefore, this study aims to determine whether the technological innovations that companies build in mobile payment services have a significant influence on users' decisions to use their services. And whether using the role of social media significantly influences the trust and loyalty of consumers to the mobile payment service they use. This research was conducted in Jakarta, Indonesia as one of the cities with more dominant mobile payment users. This study uses the methodology of the Technology Acceptance Test (TAM), Diffusion of Innovation Technology (DOIT), and Social Media based on Brand Trust and Loyalty as a research model, as well as distributing questionnaires for use as analysis material. Analysis conducted in this study is following Structural Equation Modeling (SEM) and data processing was using Amos version 23 Statistical Package for the Social Science (SPSS). The results of the study indicated that most variables have an impact on Actual System Use mediated by Intention to Adopt. 11 30 2019 9144 9149 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9012.118419 https://www.ijrte.org/portfolio-item/D9012118419/ lecturer in Civil Engineering department, Giza Higher Institute for Engineering and Technology, Egypt. Mostafa Shaaban* Structures built using lightweight concrete have feature of the lower own weight than that of the conventional concrete, where this property contributes to reducing the construction cost. This paper study recycling of pottery waste (PW) to use it as aggregate to develop structural lightweight concrete. To achieve this aim, six concrete mixtures were prepared. Five mixes developed using PW of 20%, 40 %, 60%, 80%, and 100% as a partially and wholly replacement of normal weight aggregate, while the control mix produced using normal weight aggregate of dolomite. The properties; consistency, dry density, water absorption, compressive, tensile and flexural strengths were studied and compared with the same properties of the control mix. Experimental results indicate that using 40, 60, 80, and 100% of PW as dolomite replacement can produce lightweight concrete, also all concrete mixtures containing PW aggregate can classified as structural concrete where their compressive strengths are more than 17 Mpa. 11 30 2019 9150 9154 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9013.118419 https://www.ijrte.org/portfolio-item/D9013118419/ Research Scholar in Department of Computer Science, Kakatiya University, Warangal, S.Nagaparameshwara chary* B Rama Assistant Professor in Department of Computer Science, Kakatiya University, Warangal, Classification is a machine learning task which consists in predicting the set association of unclassified examples, whose label is not known, by the properties of examples in a representation learned earlier as of training examples, that label was known. Classification tasks contain a huge assortment of domains and real world purpose: disciplines such as medical diagnosis, bioinformatics, financial engineering and image recognition between others, where domain experts can use the model erudite to sustain their decisions. All the Classification Approaches proposed in this paper were evaluate in an appropriate experimental framework in R Programming Language and the major emphasis is on k-nearest neighbor method which supports vector machines and decision trees over large number of data sets with varied dimensionality and by comparing their performance against other state-of-the-art methods. In this process the experimental results obtained have been verified by statistical tests which support the better performance of the methods. In this paper we have survey various classification techniques of Data Mining and then compared them by using diverse datasets from “University of California: Irvine (UCI) Machine Learning Repository” for acquiring the accurate calculations on Iris Data set. 11 30 2019 9155 9158 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9014.118419 https://www.ijrte.org/portfolio-item/D9014118419/ Department of Computer Science, Faculty of Mathematics and Natural Science, Pakuan University, Indonesia. Eneng Tita Tosida* Deden Ardiansyah Department of Computer Engineering, Diploma, Pakuan University, Indonesia. Agung Djati Walujo Department,of Management, STIE Dewantara, Indonesia. Ahmad Sofyandi Department of Computer Science, Faculty of Mathematics and Natural Science, Pakuan University, Indonesia. Kujang products, which are reproduced by a number of micro businesses in West Java, have not been able to increase public interest in preserving them as high value tourism products. Kujang's image as a "valuable" local culture-based product in the community is still low. This results in a still low level of quantity and quality of tourism based on local culture, especially those related to Kujang. Although the government has launched a work program to achieve the target for the next five years.. One way that can be done to improve the image. This paper aims to design a digital-based information system, to strengthen sustainable imagery related to local culture-based cleaver products. The digital information system design techniques are carried out using Augmented Reality technology. The design of information systems about Kujang products is not only targeted at students, but also at the national and international public. Based on the usability test results using the Sumi approach obtained a statistical value of 71 for general evaluation, indicating that the information system about Kujang products is very useful. This information system is more accessible, and preferred by the public because it is equipped with an attractive three-dimensional display. Augmented Reality Technology can even become a learning medium that supports the curriculum, especially in historical sub material. Augmented Reality technology in the information system about Kujang is able to increase public interest in knowing more about Kujang information, and can be upgraded to an edu-tourism idea that collaborates with the Kujang micro business. 11 30 2019 5940 5949 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9016.118419 https://www.ijrte.org/portfolio-item/D9016118419/ Assistant Professor, Department of Computer Science and Engineering, SRM Valliammai Engineering College, Chennai, Tamil Nadu, India. Ms.C. Pabitha* Dr.B. Vanathi Professor and Head, Department of Computer Science and Engineering, SRM Valliammai Engineering College, Chennai, Tamil Nadu, India.. Deep Learning and Big Data Analytics are key focus in current rapidly growing environment. The use of large data has become crucial to different organizations as they collecting huge amount of domain-specific data, which contains critical information about cyber security, theft detection, national resources, business economics, marketing, and medical information. The assessment of this huge amount of data needs advanced and improved analytical techniques for surveying and guessing future courses of action by making advanced decision-making strategies. Deep learning algorithms utilize the collected training data, to create a representation model. This model uses the computer for predictions or decision making about new data without needing to train the machine explicitly to perform user task. These techniques and algorithms infer greater level complicated abstractions as data are represented through tree like structure. A major use of Deep Learning is processing, learning and training from the huge amounts of unsupervised data, analyze patterns from the data and can be used for large Datasets in which the raw data is largely unlabeled and not classified. In this paper, Deep Learning techniques for addressing Data of different variety/formats is analyzed, enabling fast and full processing and integration of large amounts of different variety of information i.e. Data transformation is also addressed. It also addresses the quality of data as the performances of a machine improve depending on the data quality. Further exploration on the deep learning techniques to assist Big Data by focusing on two key topics: (1) is it possible for Deep Learning to assist some of the specific problems like Data Variety and Data Quality in Big Data Analytics, and (2) Whether these techniques can aid in processing the Big Data 11 30 2019 5950 5954 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9018.118419 https://www.ijrte.org/portfolio-item/D9018118419/ B.Tech, Department of Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India.. Kolli Srisai Sudhakar Reddy* P.Adithya Sesha Sai Krishna B.Tech, Department of Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. Sk. Moulali Department of Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. M.Naga Chaitanya Department of Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. A two-stage PV water-pumping system architecture is represented in this paper. In contrast with other alternatives available in the literature, the electronic drive does not exploit batteries to accomplish energy decoupling, neither large electrolytic capacitors in between stages. Although these two design decisions respectively minimize environmental impacts and increase the converter’s expected lifetime, they also bring about considerable control difficulties. More specifically, the DC link stiffness is reduced and thus large voltage oscillations may occur. In order to overcome this problem, a nonlinear controller interconnection between the individual compensator of each stage is created to account for the low capacitance. Simulations and experimental results demonstrate the effectiveness of the method in stabilizing the DC-link voltage under sudden solar irradiation changes. The final converter was deployed in a remote rural community in Guinea-Bissau for crop irrigation purposes. Despite the harsh conditions such as high temperatures and sea breeze, in situ results were satisfactory and validated the system robustness 11 30 2019 7882 7887 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9519.118419 https://www.ijrte.org/portfolio-item/D9519118419/ Master Program of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Indonesia. Ulfa Rahmani* Sukono Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Indonesia. Riaman Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran, Indonesia. Economic and trade activities are important in a country. All these activities are regulated by financial institutions, such as banks. The process of channeling funds to the public or known as credit is one of the tasks of the banking sector which aims to improve the people's economy. Credit granting is required for credit analysis, which is useful to determine the level of eligibility of a debtor to receive credit. The function of the credit analysis is to reduce the credit risk of prospective debtors who have failed to pay as well as to avoid financial institution losses or charges. The method used to analyze credit risk in this study is the Ant Colony Optimization algorithm in the Logistic Regression model. Past data held by each prospective debtor obtained from one financial institution in Indonesia is used as a feasibility parameter in this analysis. The results of the study showed that eight variables analyzed were five variables including the significant influence (age of debt ( X1 ), family dependents ( X 2 ), value of the collection ( X 4 ), the number of credit limits ( X 6 ), and the term of the loan ( X8 ) while the other three variables (the amount of savings ( X 3 ), income per month ( X 5 ), net income ( X 7 ) are not significant to the risk of default. 11 30 2019 5957 5961 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9020.118419 https://www.ijrte.org/portfolio-item/D9020118419/ Dept. of Computer Science and Technology, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation Chennai, India R.jaichandran S* K. Karthik Dept. of Computer Science and Technology, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation Chennai, India S. Rajaprakash Dept. of Computer Science and Technology, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation Chennai, India Yerasani Aditya Gowtham CSE, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation Chennai, India H.Dhrithimanth Prabhu H Final year CSE, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation Chennai, India Big Data is an emerging concept in the field of Data mining. It has numerous applications in real life. Most data are coming from social media networking Websites comprising of structured and unstructured data including Text, video, images etc. The main characteristics can be understood by five v’s. Twitter is one among the major evolving social media. Twitter Data analysis can be give you a wide perspective of public opinion regarding any product, public opinion etc which can be used to mine the knowledge from the data. For example, prediction analysis, product review, favourite among people tweets about GST (Goods and service tax). 11 30 2019 9159 9162 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9021.118419 https://www.ijrte.org/portfolio-item/D9021118419/ Associate Professor in Dept. of Mechanical Engineering. Presently working at JNTUH College of Engineering Manthani Dr. K Prasanna Lakshmi* When a robot moves from the initial position to the desired position, one or more obstacles having curved periphery are likely to be encountered. When the robot encounters any static obstacle, to avoid the collision, it deviates its path. When the divergence occurs, the robot has more than one direction to reach its destination. Using recursive algorithm, the shortest path is taken from all these alternative paths. The efficiency of the path obtained from alternate paths and decision tree values, validation is done using chi square test. Multiple robots are used in medical and industrial fields where they are likely to move between people and static obstacles when distributing food services, medical supplies, transporting goods from one location to another and many such applications. 11 30 2019 5436 5439 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9023.118419 https://www.ijrte.org/portfolio-item/D9023118419/ Assistant Professor in the Department of Education, Nazira College, Nazira Under Dibrugarh University. Pallab Jyoti Boruah* The potential of use of ICT in higher education is an emerging issue. It is envisaged that the use of ICT in pedagogical practices can enhance the quality of education through advanced teaching and improved learning outcomes. The objectives of this study are to examine the differences, if any, in the use of ICT in respect of gender, geographical location and stream of education. The researcher selected 80 full time faculty members were randomly selected from 5 higher educational institute of Sibsagar district of Assam. The instruments for data collection were four points Likert scale questionnaire developed by authors and interview methods. The analysis of data has shown that most of the teachers took their classes by using ICT. There was no significance difference between rural and urban colleges in the use of ICT but gender based differences were found. It was seen that theres a slight difference in the use of ICT as per stream of education. 11 30 2019 9163 9164 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9024.118419 https://www.ijrte.org/portfolio-item/D9024118419/ Assistant Professor in Department Of Computer Science and Engineering from 2016 at Sree Vidyanikethan Engineering College (Autonomous), Tirupati. K Ghamya* Suma Kamalesh Gandhimathi Associate Professor in Department Of Computer Science and Engineering from 2016 at Sree Vidyanikethan Engineering College (Autonomous), Tirupati. Vemala Bhargavi Assistant Professor in Department Of Computer Science and Engineering from 2018 At Sree Vidyanikethan Engineering College (Autonomous), Tirupati. Nowadays, data deduplication has become more essential for cloud storage providers because of continuous increase in number of users and their data file size. The users are allowed to access server anytime and anywhere to upload/download their data file. Whenever data is retrieving, it leads to several problems associated to the confidentiality and privacy. For protection of data security, we proposed an efficient technique called ClouDedup which assures file deduplication. To secure the confidentiality of critical data while supporting ClouDedup checker, we proposed a triple data encryption standard (TDES) technique to encrypt the data prior to uploading the data file in cloud storage. The privilege level of user is verified with data to assure whether he is an authorized user or not. The analysis of security demonstrates that our proposed security method is safe and secure. We prove that our proposed ClouDedup method has minimal overhead compared to normal operations. The process aims to use authorized ClouDedup checker with a triple data encryption standard (TDES) technique to minimize duplication copies of data in hybrid cloud storage and conducted test experiments using our prototype. 11 30 2019 9803 9807 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9035.118419 https://www.ijrte.org/portfolio-item/D9035118419/ Department of Management Technology, Shri Ramdeobaba College of Engineering and Management, Nagpur, India Amir H Khan* Mohammad Bilal Department of Management Technology, Shri Ramdeobaba College of Engineering and Management, Nagpur, India Mayank V Agrawal Department of Management Technology, Shri Ramdeobaba College of Engineering and Management, Nagpur, India Retail market in India is becoming bigger with the multinational and national brands making rapid changes in order to survive in the highly competitive environment. The changes are not limited to the type of retail format but include all the factors which can improve consumer buying experience. Therefore, the current study seeks to develop a conceptual framework for analyzing the impact of retail marketing mix such as product, services offered, brand, customer perception, customer attitude, promotional measure of the selected mall on its customer satisfaction, patronage intention, patronage behavior and word of mouth using primary data in Nagpur city. The study measure the performance of selected malls and retail outlets situated in Nagpur city. The nature of research is descriptive. A structured questionnaire was designed and distributed among 200 respondents, who have made recent purchases from supermarket operated in Nagpur through convenience sampling. Data was collected by visiting supermarkets multiple times on different timings incorporating more and less crowded situations. Cross tabulation, ANOVA, regression and correlation tests are applied to know the statistical significant relationship among variables. 11 30 2019 8349 8353 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9038.118419 https://www.ijrte.org/portfolio-item/D9038118419/ department of I.T, Amity University, Noida Dr. Krishna Kumar Singh* Mr. Sachin Rohatgi department of finance, Amity University, Noida Authors touched on the issues and prospects of MOOCs integration in Indian education system via campus wide implementation. First part of paper, critically examine the education system and MOOCs in India. Next part of the paper throws light on campus wise implementation of MOOCs in India. Authors critically examine relevance of MOOCs in Indian education system and touch various issues of what role Indian society play in the implementation of MOOCs did. Next part of the paper focuses on the hurdles of MOOCs implementation in India. In the last part, authors discuss about future prospects of MOOCs in India and how MOOCs can train the teachers and how teachers can effectively deliver the quality education. 11 30 2019 8354 8360 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9040.118419 https://www.ijrte.org/portfolio-item/D9040118419/ Department of Business Economics and Human Resource Management, Yuriy Fedkovych Chernivtsi National University, Chernivtsi, Ukraine. Yurii Lopatynskyi* Oleg Melnyk Department of Business Economics and Human Resource Management, Yuriy Fedkovych Chernivtsi National University, Chernivtsi, Ukraine. Liudmyla Sybyrka Department of Business Economics and Human Resource Management, Yuriy Fedkovych Chernivtsi National University, Chernivtsi, Ukraine. Anzhela Melnyk Department of Business Economics and Human Resource Management, Yuriy Fedkovych Chernivtsi National University, Chernivtsi, Ukraine. Zoriana Kobelia Department of Business Economics and Human Resource Management, Yuriy Fedkovych Chernivtsi National University, Chernivtsi, Ukraine. The article provides in-depth theoretical and methodological fundamentals, methodological approaches and develops practical guidelines how to increase competitive ability of the agricultural sector of the Ukrainian economy. It also provides economic essence of the competitive ability of the agricultural sector, defines methodological approach as to diagnosing a general level of competitive ability of the agricultural sector, aimed at analyzing intersectoral and intrasectoral competitiveness of the economic sector. The article analyzes current state of the competitiveness determinants of the agricultural sector of Ukraine, analyzes its general competitive ability in inter- and intrasectoral dimensions. It provides recommendations as to improving system for the state regulation of developing competitiveness of the agricultural market. Suggested sectoral and structural matrix of the state regulation of developing agricultural sector competitiveness of the domestic economy allows us to segregate priority directions of the state regulation so to contribute to competitiveness increase based on sectoral and segment approaches. The article justifies perspective transformations of organizational and legal forms of management of agrarian products manufacturers, which contribute to establishment of competitive structure of the agricultural sector of the Ukrainian economy and increase of its competitiveness level in general. 11 30 2019 8361 8365 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9041.118419 https://www.ijrte.org/portfolio-item/D9041118419/ Research scholar, Department of Statistics, Acharya Nagarjuna University, Guntur, AP, India A.Ankamma Rao* V.N.Rama Devi Associate Professor, Department of Mathematics, GRIET, Hyderabad, Telangana, India K. Chandan Professor, Department of Statistics, Acharya Nagarjuna University, Guntur, AP, India, This paper analyzes M/M/1 vacation two-phase queueing model with server Start-up, Time-out and Breakdowns. Customers arrivals are assumed as Poisson process and be given batch mode in the first phase followed by individual models second phase. Arrivals during batch service are allowed to enter the batch without Gating. After providing the second phase of service to all customers individually, server returns to first phase to serve the existing customers followed by individual service. If no one presents, then server waits for a fixed time ‘C’ is called server Time-out. If units arrived during this fixed time, then the server starts the cycle again by providing them batch service followed by individual service, otherwise after expiration of fixed time he takes a vacation. The server comes back from vacation, after N-customers are accumulated. The server passes a random period as pre-service procedure after coming back from vacation. During individual service the server is susceptible to random failures. Various performance measures are evaluated in steady state. Cost function is established to define the threshold and sensitivity analysis is also presented through numerical examples. 11 30 2019 9165 9171 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9044.118419 https://www.ijrte.org/portfolio-item/D9044118419/ Volga Research Institute of Production & Processing of Meat & Dairy Products Stavropol State Agrarian University, Stavropol, Russia. Ruslan Omarov* Ivan Gorlov Volga Research Institute of Production & Processing of Meat & Dairy Products. Marina Slozhenkina Volga Research Institute of Production & Processing of Meat & Dairy Products. Natalia Mosolova Volga Research Institute of Production & Processing of Meat & Dairy Products. Sergei Shlykov Stavropol State Agrarian University, Stavropol, Russi. The article presents the results of the influence of studying the formation of a fatty acid profile in cattle meat using forage herbs rich in secondary metabolites (polyphenol oxidase, saponins, tannins and catecholamines) on lipolysis and biohydrogenation in animal rumen. The experiment planning matrix was performed using the Latin square method. The main factor studied was the effect of polyphenol oxidase on biohydrogenation processes in animals. Based on the studies, recommendations are made on the optimal composition of grassland in the pastures of the South of Russia in order to improve the fatty acid composition of beef. 11 30 2019 5969 5972 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9048.118419 https://www.ijrte.org/portfolio-item/D9048118419/ Department of Computer Science and Engineering, Jadavpur University, Kolkata, India. Asmita Manna* Anirban Sengupta Centre for Distributed Computing, Jadavpur University, Kolkata, India. Chandan Mazumdar Department of Computer Science and Engineering, Jadavpur University, Kolkata, India. Privacy is one of the major concerns of data protection where personal data of individuals are used by enterprises for providing services. To ensure the rights of citizens, different legal authorities, including European Union, have made it mandatory for enterprises to implement certain privacy principles. An enterprise may also have its own set of privacy principles that help provide customized privacy experience to its customers, with the motive of retaining its customer base and weaning away customers from its competitors. To ensure privacy compliance with legal policies, enterprise privacy principles and expectations of customers, the system design should consider the privacy requirements emanating from all these sources. However, the requirements are often expressed in natural languages, which are difficult to interpret for system designers. In this paper, a logic-based methodology is proposed to formally express privacy requirements emanating from all three different sources. The methodology also includes an algorithm to identify and resolve conflicts among elicited privacy requirements. The proposed approach can be considered as the first step towards ensuring privacy compliance. This would help an enterprise to identify conflicting privacy requirements, resolve conflicts as per pre-defined rules and identify implementable privacy principles to enable the management of privacy compliance. 11 30 2019 8366 8374 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9049.118419 https://www.ijrte.org/portfolio-item/D9049118419/ Department Of Geoscience, Universiti Teknologi Petronas, Seri Iskandar, Malaysia Dejen Teklu Asfha* Haylay Tsegab Gebretsadik Department Of Geoscience, Southeast Asia Carbonate Research Laboratory, Universiti Teknologi Petronas, Seri Iskandar, Malaysia. Wan Ismail Wan Yusoff Department Of Geoscience, Center For Subsurface Seismic Imaging, Universiti Teknologi Petronas, Seri Iskandar, Malaysia. Well-predicted pore pressure is vital throughout the lifetime of an oil and gas field starting from exploration to the production stage. Here, we studied a mature field where enhanced oil recovery is of high interest and pore pressure data is crucial. Moreover, the top of the overpressure zone in west Baram Delta starts at different depths. Hence, valid pore pressure prediction prior to drilling is a prerequisite for reducing drilling risks, increasing efficient reservoir modeling and optimizing costs. Petrophysical logs such as gamma-ray, density logs, and sonic transit time were used for pore pressure prediction in the studied field. Density logs were used to predict the overburden pressure, whereas sonic transit time, and gamma-ray logs were utilized to develop observed shale compaction trend line (OSCTL) and to establish a normal compaction trend line (NCTL). Pore pressure was predicted from a locally observed shale compaction trend line of 6 wells using Eaton’s and Miller's methods. The predicted pore pressure using Eaton’s DT method with Eaton’s exponent 3 showed a better matching with the measured pressure acquired from the repeat formation test (RFT). Hence, Eaton’s DT method with Eaton exponent 3 could be applied to predict pore pressure for drilling sites in the study area and vicinity fields with similar geological settings. 11 30 2019 9172 9178 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9050.118419 https://www.ijrte.org/portfolio-item/D9050118419/ Information Systems Department – School of Information Systems, Bina Nusantara University, Jakarta, Indonesia. Tri Pujadi* Wihendro Information Systems Department - School of Information Systems, Bina Nusantara University, Jakarta, Indonesia. The objective of this study is to identify the role of information technology in companies. The use of IT should create a synergy between business strategies, business processes and technologies to achieve the vision, mission and objectives of the company, and to offer excellence in the future. For this reason, the study uses the EA framework, where there are artifacts that are stored digitally in the repository. This study uses the EA implementation method when the main points of the EA development steps are implemented. The results achieved are the integration of new applications that are expected to be properly implemented so that companies can read their strategies to deal with competitors. The conclusion is that the proposed application can help the company achieve its vision, mission and objectives. And all business processes can be managed effectively and efficiently so that the company can compete with its competitors today and in the future. 11 30 2019 8736 8742 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9053.118419 https://www.ijrte.org/portfolio-item/D9053118419/ ECE department, Vardhaman College of Engineering,Hyderabad, India. K.Sripal Reddy* A.Vijaya Lakshmi ECE department, Vardhaman College of Engineering,Hyderabad, India. Much work is done on Iris Recognition, since few years. Many cases discussed about performance in view of image capturing and recognition. Daugman work is the most important related to iris biometric in early research. It is fair to say, it is base model for iris biometric. Almost the available iris systems are based on this work. A palm print is image of the palm area of a hand. It is either an image taken online or offline. It is one of the most familiar and promising biometric model for personal identity verification. It is tough task to differentiate lines and wrinkles without explicit definition. depends on the thickness and position of some key points we can define principal lines. In our work, we are taken the principal line magnitude is less than or equal to 1. we cannot consider broken lines. If it is the case broken point is treat as last point. 11 30 2019 8743 8746 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9058.118419 https://www.ijrte.org/portfolio-item/D9058118419/ Graduate Student, Bina Nusantara University,Jakarta,Indonesia. Ibnu Fajar Alam* Nilo Legowo Associate Proffesor at the Graduate program, Bina Nusantara University, Jakarta, Indonesia The company realizes that IT plays an important role in advancing business processes in the company, one of the breakthroughs made by this division is to use ERP in the company for work efficiency and reduce company costs, but with time the company is unable to achieve sales targets, while we know that ERP (SAP) is not cheap, with this problem we conduct research assisted by the Balanced Scorecard IT method, we can measure ERP performance that is already running. With four perspectives we measure ERP performance in a company. We disseminate data to 186 respondents to see whether ERP performance is good, then we get results from these four perspectives that support the performance of the ERP system. The results of this study are given to management to see whether the ERP performance that has been used is good or not, after that we can determine what should be done by the management 11 30 2019 8375 8379 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9062.118419 https://www.ijrte.org/portfolio-item/D9062118419/ School of Computer Science and Engineering, VIT, Vellore, Tamilnadu, India. Gladys Gnana Kiruba B* D. P. Acharjya* School of Computer Science and Engineering, VIT, Vellore, Tamilnadu, India. Smart watch is the new generation watches which provide new assistants in the ambient environment. The new hardware technology of smart watch adds up with sensors and internet affords a high human computer interaction all through 24×7 of a person. In order to understand the satisfaction of smart watch users, it is highly necessary to master the technologies behind it. This paper uses the rough set rule generation technique to analyze the customer satisfaction by adopting the various demographics and key features of smart watch there by understanding the importance of ambient technology. 11 30 2019 12441 12449 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9067.118419 https://www.ijrte.org/portfolio-item/D9067118419/ Department Of Mechanical Engineering, Griet, Hyderabad, Telangana, India Mohd Abdul Raheem* L. Gopinath Asst. Prof, Department Of Mechanical Engineering, Griet, Hyderabad, Telangana, India Heating ventilation and air conditioning (hvac) main goal is to provide thermal comfort and acceptable air quality inside rooms. In large buildings huge amount of energy is wasted due to its weak thermal performance and moderate hvac system. Heat load calculation is a basic step to be considered during designing a hvac system for a building. During heat load calculation weather conditions and occupants of a room are to be considered. Auditing is done on power consumption of a building when two different hvac system are used for distribution of conditioned air and also design a duct. In these paper fan coil unit and air handling unit are compared with each other and investigated how much power is consumed while using each system separately. When fan coil unit is connected with a duct the power consumed by a building is 32.75 kw/hr and when air handling unit is connected with a duct the power consumed is 41 kw/hr. Thus fan coil unit is preferred over air handling unit because it consumes less power and according to that duct is designed using designing tool to attain uniform cooling. 11 30 2019 9179 9185 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9091.118419 https://www.ijrte.org/portfolio-item/D9091118419/ Studying M.Tech in Communication Engineering in KIIT University, Bhubaneswar, India. Rammah Yousef* Ayush Agarwal Studying B.Tech in Electronics and Electrical Engineering, in KIIT University, Bhubaneswar, India. Pranaw Kumar Assistant Professor in School of Electronics Engineering, Kalinga Institute of Industrial Technology University, Bhubaneswar, Odisha, India. Nabhan Yousef Studying M.Tech in Information Communication Technology in Marwadi University, Rajkot, Gujarat, India. This paper proposed a new object removal techniques based on exemplar-based technique and seam carving. Exemplar- based inpainting technique has been a point of attraction due to its moderate computational task an its performance. Moreover in this paper object removal technique for image based on discontinuous by seam carving has been introduced. Image inpainting is an approach fro restoring the damage part of an image in reference to the information from the undamaged part to make the restored image continuous, natural and to look complete. In this method patches are used to fill the target region in the image. Both texture synthesis and structure propagation are used simultaneously. Here robust exemplar method has been used avoiding dropping effect by using robust priority function. We have also used seam-carving for object removal. The PSNR values of the proposed model have been calculated and is also compared with the previous techniques’ results. 11 30 2019 9186 9191 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9093.118419 https://www.ijrte.org/portfolio-item/D9093118419/ Computer Deptt., DAV College Hoshiarpur(Pb.), India. Anjali Jolly* E-Commerce Is The Process Of Selling Or Purchasing Of Goods Via Utilizing Online Services. Nowadays, E-Commerce Has Become An Integral Part Of Business Websites. In This, Third Party Services Are Being Used Most Commonly, Which Offer Ready To Use Setup For The Companies. Numerous Services And Technologies Are Used By The Firms Such As Applications For Payment-Processing (These Can Also Be Offered By Third Parties). Sometimes, Business Companies May Also Develop Their Own Customised Software At Specialised Price Or May Use Their Personal Software By Combining It With Third Party Software. Therefore, E-Commerce Websites May Succeed By Providing Secure Services To Their Customers, Such As Their Personal Information, Cards Details Etc. Must Be Secured With Trusted Encryption Technologies. But, At The Same Time, Widespread Use Of E-Commerce Is Accompanied With Certain Security Related Challenges. Hackers Try To Find Loopholes In The System Using Several Techniques. Hence, Taking The Preventive Measure And Educating Customers About The Threats May Help In Keeping The Customer Faith On Websites. Otherwise, If A Website Has Poor Encryption Technologies, Then It May Fail To Gain Customer Trust. 11 30 2019 9192 9194 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9095.118419 https://www.ijrte.org/portfolio-item/D9095118419/ Assistant Professor, Department of studies in Comput-er Science, University of Mysore, Mysuru-570006, India. Sridevi T. N*. Dr. Lalitha Rangarajan Professor in the Department of Studies in Computer Science, University of Mysore, Manasa Gangothri Campus, Mysuru. In this paper, variety of document image enhancement techniques are applied for removal of background noise in the degraded document images. The noise removal techniques are applied on different forms of noise including non-uniform illuminations, complex stain marks, user annotations, show through effect and foxing effect. In this work, Binary Image Analysis (BIA) Technique is proposed for removal of aging degradation in ancient document images of Kannada literature. The method involves multiple phases comprising of contrast enhancement, Gaussian smoothing, binarization, morphological processing, object detection using connected component analysis and filtering followed by marginal noise removal of non-textual regions. The document samples employed for experimentation comprised of more than 175 aged and highly degraded scanned documents of old Kannada literature and poetry that are massively affected by noise and 25 images from DIBCO datasets collected across 2009 to 2017. The results of the experimentation are quite satisfactory and suitable enough for processing of document images in the subsequent stages of OCR..The experimentations are compared with some widely used approaches like Sauvola, Otsu, Gaussian. It is noticed that the proposed method outperforms other noise removal methods in terms of character retentions for extensively degraded and aged document images. 11 30 2019 6660 6669 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrteD9101.118419 https://www.ijrte.org/portfolio-item/D9101118419/ Director, research International Institute of Management Studies Pune, India Dr. Tripti Sahur* Dr. Nitin Ranjan Associate Professor, International Institue of Management Studies Pune, India The phenomenal speed of corporate development in modern era demands a universal call for action. The role of corporate sustainable practices should be designed to generate value for all stakeholders’, in a manner to ensure positive ethical, social, cultural, economic and most importantly environmental impact. Evolving world order engendered a greater concern for ecology whereas in the race of materialism, sustainable development has just become an illusion. Sympathizing sustainability issues necessitates human to think and appreciate the extended chains of cause and effect relationship of human doings on his future, these doings can be intentional or otherwise. The agenda of corporate sustainable development cannot be fulfilled until the greedy creatures realize the importance of living in harmony with nature. The most ancient known literature in the world had already suggested the sustainable solutions way back in about 1500 and 1000 BCE [3]. Indian mythology since ages is preaching and practicing sustainability in all traits of life for the establishment of a better society. The present paper is an attempt to draw corporate sustainability lessons from Indian mythology literature that projects natural resources as God and also device ways to please the almighty. This paper is an attempt to suggest corporate world to learn sustainability lessons hidden in Indian mythological preaching through rigorous literature content analysis. The ancient Indian literature (Vedas) encompasses several principles of sustainable development. Principles relating to the unavoidability of facing consequences of one’s actions, the interconnectedness of all living beings, the linkage between present and future, the integrity of the human family, the necessity of harmony between humanity and the natural order and many others are equally apt and can guide sustainable corporate growth. The lesson sums up in “Vasudevkutumbakam” (all belongs to one family) that needs to be engrossed in the corporate strategies for a better tomorrow. 11 30 2019 9195 9197 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9104.118419 https://www.ijrte.org/portfolio-item/D9104118419/ Assistant Professor in the Department of civil Engineering at Aarupadai Veedu Institute of Technology, Vinayaka mission research foundation, India Parthiban D* Srija Juluru Assistant Professor in the Department of civil Engineering at Aarupadai Veedu Institute of Technology, Vinayaka mission research foundation, India Sanjay Kumar R Assistant Professor in the Department of civil Engineering at Aarupadai Veedu Institute of Technology, Vinayaka mission research foundation, India Bava Shahad TR UG student in the Department of civil Engineering at Aarupadai Veedu Institute of Technology, Vinayaka mission research foundation, India Unnimaya K Premachandran UG student in the Department of civil Engineering at Aarupadai Veedu Institute of Technology, Vinayaka mission research foundation, India In this study the investigational results obtained in the laboratory on expansive soils treated with low-cost materials i.e, lime and press mud are used. It is conducted to check the signs of progress in the properties of expansive soil with Press Mud and lime in varying percentages. The test results such as the Unconfined compression test, liquid limit, plastic limit, shrinkage limit, hydrometer analysis and pH obtained on expansive clays mixed with different proportions of lime and press mud are presented and discussed in this work. From the demonstrated result the addition of Press mud with lime in soil stabilization improves the Unconfined Compressive strength of the soil when compared to lime stabilization alone. The index properties of the soil have also been marginally improved due to the addition of Press mud as an admixture. 11 30 2019 9198 9202 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9107.118419 https://www.ijrte.org/portfolio-item/D9107118419/ research scholar at, Computer Applications, Bharath Institute of Higher Education and Research, Chennai. Jasmeena Tariq* Dr Kumaravel Professor and Dean, School of Computing, Bharath University, Chennai. Dr. Fasel Qadir Assistant Professor, Department of Computer Science’s North Campus, Delina University of Kashmir. This paper proposes new algorithm for edge detection in a grayscale image of brain MRI with tumor cells through cellular automata. Edge detection makes detection of tumor cells easier. Applying cellular automata for edge detection makes it very efficient because of its local nature. In Cellular automata filters are used locally to each cell and then it evolves into a more complex form. Due to this property of Cellular Automata it is being widely used in medical image processing. Algorithm presented in this paper is completed with the help of MATLAB2019b. Results from the proposed algorithm are compared with Sobel edge detector (to detect edges it uses simple calculations, but is sensitive to noise). 11 30 2019 4918 4920 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9111.118419 https://www.ijrte.org/portfolio-item/D9111118419/ Assistant Professor in Centre for Advanced Studies Lucknow, India. Dr. Arun Kumar* Abhishek Kumar Assistant professor atAdwita Mission Institute of Technology (AMIT), Shivdham (Bihar) India. Dr. Prashant Johri Professor in School of Computing Science & Engineering, Galgotias University, Greater Noida, India.. Dr. Shiv Prakash M.Tech. and Ph.D. School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, India. Tarun Kumar Assistant Professor in School of Computing Science & Engineering, Galgotias University, Greater Noida, India. A wireless mobile ad-hoc network (WMANET) is endless self-organizing, infrastructure-less collection of movable devices which are connected by using a wireless communication system. In other word’s WMANET is an autonomous, decentralized, dynamic topology, provisional network system having wireless movable devices (nodes) moving randomly without an infrastructure of the network. Furthermore, the nodes communicate with every supplementary node, through forwarding data-packets toward other nodes in the WMANET. The node finds a path to the destination node by applying routing techniques. Due to the dynamic topology of movable nodes wireless mobile network is more vulnerable to security and unprotected to attacks by the malicious node. One of the attacks is Blackhole malware Attack, a malicious-node wrongly advertises shortest to the destination node among an intention of disrupting the network communication. Because the data packets did not arrive at the destination node due to this attack data is lost. In the literature, researchers have been proposed various preventive detection techniques. These techniques used to detect and prevent the black-hole malware attacks. Furthermore, in this paper Novel Detection and Prevention mechanism (INCMAODV) has been simulated the black-hole attack in WMANET scenario. The proposed technique tried to find quality of service (QoS) parameters for instance throughput (Th), packet delivery ratio (PDR) and delay of the network and compared with the state of the art. 11 30 2019 9203 9210 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9113.118419 https://www.ijrte.org/portfolio-item/D9113118419/ Research Scholar, Suresh Gyan Vihar University, Jaipur, India. Sumit Gautam* Dr. Rajesh Purohit Principal, School of Engineering & Technology, Suresh Gyan Vihar University, Jaipur, India. Dr. Durga Prasad Sharma Dean (Research), Maharishi Arvind Institute of Science & Management, Jaipur, India. Smart phones and handheld devices equip with multiple radio access technologies capabilities e.g. cellular and Wi-Fi now a days. It is observed that seamless session and service continuity is a difficult task while device is roaming across different radio access technologies. Connection Manager, ANDSF and Traffic Steering Algorithms are mainly used to address such switching requirements. Radio access selection decision is usually based upon various parameters like network capabilities, availability, quality, subscription and policies. This research compares network quality of all available networks for the duration and then connection manager’s decision support system ranks all suitable networks to select most appropriate access network. This paper investigates about new input parameters to be included in connection manager’s enhanced decision support system for the smarter decision of access network selection. 11 30 2019 9808 9811 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9116.118419 https://www.ijrte.org/portfolio-item/D9116118419/ Assistant professor, Department of civil Engineering, Nalanda Institute of Engineering and Technology, Kantepudi – 522438,India. Umamaheswararao Tallapalem* Nurulla Shaik Assistant professor, Department of civil Engineering, Nalanda Institute of Engineering and Technology, Kantepudi – 522438,India. Srinivasarao Valluri Assistant professor, Department of civil Engineering, Nalanda Institute of Engineering and Technology, Kantepudi – 522438,India. Construction industry is one of the most important factor for the development of the country. Precast buildings are one of the major development in construction technology, this technology helps to reduce the construction time and cost. Precast building construction is widely improved at present in India. The Growth of the precast building construction improved in large scale but construction and Design faults made the Precast buildings week in seismic areas. Due to seismic effect Beam column connections are very critical in Precast buildings ,Generally precast buildings are constructed with help connecting with proper joints of prefabricated elements. Designers are assumed that Beam-column connections are hinged one but in real time execution process the connections are Different from assumption. In present study we consider the three types of Beam-columns connections such as Rigid connection ,semi-Rigid connection and Hinged connections are developed in G+20 High rise building .These High rise building analysed with help of Time history analysis of High Seismic waves, Moderate Seismic waves and Low seismic waves .It helps to Identify the behaviour of connections and The results of Top Displacements , story Drifts and Inter storey Drifts are compared for the Different connections and Different Seismic waves. 11 30 2019 5973 5980 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9124.118419 https://www.ijrte.org/portfolio-item/D9124118419/ Faculty, Department of ECE, Narayanaguru College of Engineering, TamilNadu, India. J.Reena Benjamin* Dr.T. Jayasree Faculty, Department of ECE, Government College of Engineering, Tirunelveli, TamilNadu, India. S.Anjana Vijayan Student, M.E Applied Electronics, Narayanaguru College of Engineering, TamilNadu, India. Image fusion plays a major role in biomedical applications such as tumor detection, medical diagnostics, disease identification, etc. Generally, medical imaging modalities such as Positron Emission Tomography (PET)/Single Photon Emission Computed Tomography (SPECT) and Magnetic Resonance Images (MRI) are used to perform the fusion process for post-surgery analysis. MRI images generally have a single channel i.e. gray information about the skull.MRI images give anatomical data of soft tissues whereas PET/SPECT images give functional images of tissues. Therefore, combining MRI and PET/SPECT images give both structural as well as functional information. In this paper, a new approach for PET/SPECT and MRI image fusion using the Adaptive Cloud Model (ACM) based Local Laplacian Pyramid (LLP) is proposed to obtain the high quality fused output. To increase the sensitivity of the fusion, the RGB image is converted into Hue Intensity Saturation (HIS) color transform. LLP is applied to the gray level component of the MRI image and Intensity component of PET/SPECT images respectively. The Adaptive Cloud Model is used to perform the fusion of LLP coefficients. The inverse of LLP and HIS transform is applied to get the fused image in color domain. Performance evaluation shows that the proposed method gives better performance when compared to conventional techniques. 11 30 2019 9211 9217 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9127.118419 https://www.ijrte.org/portfolio-item/D9127118419/ Associate Professor, B.V. Raju Institute of Technology, Narsapur, Medak, Telangana State, India. K Bhima* Dr. A. Jagan Professor and Dean (PG Studies) in the Department of Computer Science and Engineering, B.V. Raju Institute of Technology, Narsapur, Medak Dist, Telangana State, India. In this proposed study, a novel Multimodal brain MR image segmentation method is presented to overcome the unattractive and undesirable over segmentation characteristics of conventional Watershed method. The proposed work, presents Optimal Region Amalgamation Technique (RAT) that merge the Watershed method (spatial domain) and Fuzzy C-means clustering (feature spaces) to reduce the unattractive and undesirable over segmentation in brain MR images. In the proposed work, to improve the quality of segmentation results of Watershed method, initially it construct a RAG(Region Merging Graph) for optimal RAT by applying the most popular MRF(Markov Random Field) method . Consequently, the inter-region comparison is presented by applying the watershed method in Spatial Domain and Fuzzy C-Means clustering method in Feature Space for image mapping to compute the Optimal Region Amalgamation. Further, to determine the Feature space and domain space illustration of the brain MR image segmentation, the SGD (Spatial Graph Depiction) is presented that is computed with FSD (Feature Space Depiction) which is obtained by watershed partitioning and FCM clustering method. The experimental results on multimodal brain MR image datasets presents that the proposed novel Optimal Region Amalgamation Technique (RAT) exhibits more promising MR images segmentation results with compared to the traditional watershed method. Finally, an assessment and evaluation of the state-of-the-art brain tumor segmentation methods are presented and future directions to improve and standardize the detection and segmentation of brain tumor into daily clinical treatment are addressed. 11 30 2019 9218 9225 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9129.118419 https://www.ijrte.org/portfolio-item/D9129118419/ Ph.D Research Scholar, Department of Computer Science, Periyar University, Salem, India. G. Kavitha* Dr.I.Laurence Aroquiaraj Assistant Professor, Department of Computer Science, Periyar University, Salem, India. Face Recognition is the most important part to identifying people in biometric system. It is the most usable biometric system. This paper focuses on human face recognition by calculating the facial features present in the image and recognizing the person using features. In every face recognition system follows the preprocessing, face detection techniques. In this paper mainly focused on Face detection and gender classification. They are performed in two stages, the first stage is face detection using an enhanced viola jones algorithm and the next stage is gender classification. Input to the video or surveillance that video converted into frames. Select few best frames from the video for detecting the face, before the particular image preprocessed using PSNR. After preprocessing face detection performed, and gender classification comparative analysis done by using a neural network classifier and LBP based classifier. 11 30 2019 6670 6674 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9131.118419 https://www.ijrte.org/portfolio-item/D9131118419/ Department of Russian history, North Caucasus Federal University, Stavropol, Russia. Marina Kolesnikova* Lyudmila Ermolenko Department of Russian history, North Caucasus Federal University, Stavropol, Russia. This article presents the results of the development of an algorithm for creating a research base on the history, historiography and source studies of Abkhazia in bibliographic indexes and reference books. The basis for the created base was the materials contained in the reference dictionaries. The pointers are multifunctional, they allow you to find the publication you need to work, others to understand the process of studying the region in the past and present, see how the historical tradition of Abkhazia was born, formed and developed in the history of Russia. Bibliographic activity was carried out by static committees, scientific societies, military historians who comprehensively study the region. Compilation of bibliographic indexes and reference publications on the Caucasus was carried out with the support of public authorities and stimulated the interest of researchers in studying the history of the peoples of the Caucasus. 11 30 2019 5440 5442 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9132.118419 https://www.ijrte.org/portfolio-item/D9132118419/ Ph.D scholar, civil engineering, JNTUA Ananthapuramu, Andhra Pradesh, India. S. Vinay Babu* Dr. N. Venkata Ramana Associate Professor, department of studies in civil engineering, VTU PG centre, Kalaburagi, Karnataka, India. This paper presents the fiber effect in the polymer concrete. The concrete is prepared with 10% Bethemcharla stone powder as replacement to cement and 10% of Bisphenol-A polymer to the concrete mixes. The fibers were incorporated to the concrete in the proportion of 0,1 and 2% by volume of specimen. The study mainly focused to evaluate compressive, split, shear and flexural strengths of concrete. Tests conducted on cube, cylinder and beam specimens and from the results it is found that, the fiber seeding to mixes enhances the strength properties. In addition to the mixes, plan cement concrete mix without stone powder and polymer is prepared and tested for the same strengths, this mix is considered as reference mix for comparison purpose. For present experimental work few mathematical models are established to assess strengths in association of cube compressive strength. 11 30 2019 9844 9847 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9136.118419 https://www.ijrte.org/portfolio-item/D9136118419/ Department of Marketing and International Management, Oles Honchar Dnipro National University, Dnipro, Ukraine Svetlana Khaminich* Mykhailo Broshkov Department of Physiology, Biochemistry and Microbiology, Odessa State Agrarian University, Odessa Eduard Kuznietsov Department of Management and Innovations, Odessa I. I. Mechnikov National University, Odessa, Ukraine Olеna Ptashchеnko Marketing and Corporate Communications, Simon Kuznets Kharkiv National University of Economics, Kharkiv, Ukraine Viktoriia Milcheva Department of Marketing, Business and Trade, Odessa National Academy of Food Technologies, Odessa, Ukraine Olga Boiko Accounting and Audit Department, Odessa National Economic Universit, Odessa, Ukraine To date, the changes provoked by the digital economy have affected all industries, from the growing interest in cryptocurrencies, developments in the field of financial technologies, the Internet of things (IoT), intuitive programming, online education and significant progress in gene therapy. Management as a science of management also undergoes innovative changes, turning into a "digital" reality. Production management is implemented through ERP systems that allow you to remotely reconfigure the production line, track deviations in the use of materials, etc. Other types of requirements are also imposed on personnel management, such as the possession and application of emotional intelligence, determined by the person's ability, in this case, the manager, to recognize emotions, understand the intentions, motivation and desires of other people, and the ability to manage their feelings and emotions of other people in order to solve practical problems. Collaboration with freelancers and working with an outsourcing pool allows you to enter the global virtual labour market and attract the best talents on a worldwide scale. All of the above tasks can be attributed to the category of a more high-tech, high-tech level than standard management decisions. To move to this "new" level, significant modernization of both technologies and methodological approaches to the system of managerial innovations is required. The article describes the main types of managerial innovations, offers methodologies for assessing the quality of management, and analyzes the impact of the introduction of individual tools at leading enterprises and outsiders on their effectiveness and competitiveness in the digital economy. 11 30 2019 7888 7893 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9137.118419 https://www.ijrte.org/portfolio-item/D9137118419/ Assistant Professor, Department of Civil Engineering, S R Engineering College, Ananthsagar,Warangal,(TS) India. E.Laxmi Prasanna* B. Tipraj Assistant Professor, Department of Civil Engineering, S R Engineering College, Ananthsagar,Warangal,(TS) India Sandela Haripriya Assistant Professor, Department of Civil Engineering S R Engineering College, Ananthsagar,Warangal,(TS) India MdIkramullah Khan Assistant Professor, Department of Civil EngineeringS R Engineering, College, Ananthsagar,Warangal,(TS) India R Gobinath Professor, Department of Civil Engineering, S R Engineering College, Ananthsagar,Warangal,(TS) India Enhancement of concrete strength to shoot the need, demand and to make sustainable is being studied by bountiful researchers across the globe. Utilization of industrial waste and construction waste is an area being explored in the recent days properties of construction demolition waste is unique in nature and result of one research will not maintain with other due to heterogeneous nature of demolition waste. In this work a special type of demolition waste is obtained from building is utilized in concrete in tandem with fly ash instead of sand cost effective and sustainable mixed sand is used in this study in varying proportions. Four different mixes (M1 M2 M3 M4) is prepared using standard sampling procedures and tested for strength and durability. It is found that M2 shows considerable strength in with increasing curing period and it can be selected as optimum mixture. Graded mixed sand used in this study shows considerable increase in strength in coordination with recycled coarse aggregates. 11 30 2019 9848 9851 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9138.118419 https://www.ijrte.org/portfolio-item/D9138118419/ Associate Professor, Department of Biomedical Engineering, Vel tech Multi tech Dr. Rangarajan Dr. Sakunthala Engineering College, Avadi, Chennai. Tamilnadu. M. Nagarajan* A. Balaji Assistant Professor, Department of Electronics and Communication Engineering , Rajalakshmi Institute of Technology, Chennai.Tamilnadu. S. Velmurugan Professor & Head, Department of Electronics and Communication Engineering, TJS Engineering College, Peruvoyal, Tamilnadu. G. Sathishkumar Assistant Professor, Department of Electronics and Communication Engineering, P.T.Lee Chengalvaraya Naicker College of Engineering & Technology, Oovery, Kanchipuram, Tamilnadu. This paper presents the concept of encrypting the Data from the client to the client. But using some Key generator which sets the password for sending the information. In this concept, we have two types of passwords those are Private Key and Cloud outsourced key. The password will be sent to the client through email by using unique human identity, example Special Name, user id, IP address, etc. This Paper Deals with the client, private key generator and cloud. First, the user has to register by giving their basic details for having user name and password, have to enter their personal details, including contact number, email id, country, etc. When the user Id has created, they have to log through the client login. If they have an account they can be logged in if they are not having an account, they have to register. If any loss of password can reset the password by providing the email Id. This Paper can provide the Security of the user Data. In this Paper we are using cloud storage system. 11 30 2019 9812 9816 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9142.118419 https://www.ijrte.org/portfolio-item/D9142118419/ Assistant Professor(Sr.Grade), Department of CSE,Kongu Engineering College, Perundurai, Tamilnadu, India. G.R. Sreekanth R.C. Suganthe Professor, Department of CSE, Kongu Engineering College, Perundurai, Tamilnadu, India. R.S. Latha Assistant Professor(Sr.Grade), Department of CSE, Kongu Engineering College, Perundurai, Tamilnadu, India. Delay tolerant network (DTN) is one of the emerging technologies which is applied generally when there is no end-to-end path exists from source to destination all the time. The two major issues in DTN are routing and buffer management. Existing buffer management policies are based on one or more parameters such as message Time-to-Live, message age, message replication count, message size etc.,. There is no efficient approach is available for estimation of message replication count. In this work an efficient approach is proposed to estimate total number of copies of the message. The proposed buffer management approach prioritizes the messages and based on which the messages are forwarded/dropped from the buffer when there is a contact opportunity occurs/when the buffer is full. These priorities are based on message Time-to-Live, message age, message replication count and message size. This proposed buffer management policy is evaluated with two popular DTN routing protocols Spray-and-Wait and Prophet. The simulation results show that delivery probability of messages has increased with reduced buffer time average and minimized latency. 11 30 2019 9852 9857 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9145.118419 https://www.ijrte.org/portfolio-item/D9145118419/ Research Scholar, Department of Electronics and Instrumentation Engineering, Annamalai University, Chidambaram-608002, India Saya Nandini Devi M* Santhi S Department of Electronics and Instrumentation Engineering, Annamalai University, Chidambaram-608002, India. Image Segmentation is the process of dividing an image into regions or objects for the purpose of extracting useful information. It plays vital and dominant role in medical image analysis. OCT is a high speed and non-invasive method to determine three dimensional images of retina. This paper presents an improved method of automated OCT image segmentation in order to detect and classify Retinopathy diseases. Discrete wavelet transform (DWT) is a multiresolution approach and is widely used for OCT image segmentation. K-Means Cluster (KMC) approach is popular among researchers that offers better results for extracting the features for image segmentation. This work compares the segmentation process based on DWT with KMC and presents a better segmentation method comprising of K-Means Cluster with Genetic Algorithm Optimization (KMC-GAO) that identifies cluster centroid for obtaining the improved image segmentation performance of an OCT image. The performance metrics such as Structural Content (SC), Rand Index (RI), Variation of Information (VOI) and Global Consistency Error (GCE) are evaluated for all these segmentation techniques and it is observed that KMC-GAO segmentation offers better result than DWT method and KMC approach. 11 30 2019 8747 8753 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9146.118419 https://www.ijrte.org/portfolio-item/D9146118419/ Assistant Professor, MBA Department, Bapuji Institute of Engineering and Technology (BIET), Davangere, Karnataka Y. C. Mohan* P. Pradeep Assistant Professor, MBA Department, Bapuji Institute of Engineering and Technology (BIET), Davangere, Karnataka S. Susi Professor, Department of MBA, Shadan Women’s College of Engineering & Technology, Hyderabad 500004, Telangana, India. R. Jothikumar Professor, Department of CSE, Shadan College of Engineering & Technology, Hyderabad 500008, Telangana, India. The main aim of this article is to identify the millennial work life balance (WLB),and to identify the connection among millennial WLB and work family conflict (WFC), Organizational citizenship behaviour (OCB) and life satisfaction (LS). The study also focuses on identifying the significant differences of millennials work life balance on OCB. Sample size of the study consists of 284 millennials working in Hyderabad. For data collection structured questionnaire was used. In this study SPSS 19 software were used for data analysis and statistical tools such as correlation and one - way anova are used for analysing the data. The study results states that relationship among millennial WLB and work family conflict, OCB and life satisfaction. The study also finds the significant variance among millennial WLB and its dimensions and Organization citizenship behaviour. 11 30 2019 9817 9820 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9148.118419 https://www.ijrte.org/portfolio-item/D9148118419/ Professor, Department of Aeronautical Engineering, MLR Institute of Technology, Hyderabad, India. K Veeranjaneyulu* Dr M Satyanarayana Gupta Professor, Department of Aeronautical Engineering, MLR Institute of Technology, Hyderabad, India. Dr Om Prakash Professor, Department of Aerospace Engineering, UPES, Dehradun., India This paper reveals one of the design philosophies, fail-safe is used to arrest the crack propagation of airframe. The two important cracks considered for the design of pressurized fuselage are circumferential and longitudinal. The fuselage cabin pressurization and depressurization cycle create a fatigue load on the airplane structure and produce cracks where the tensile stress is maximum on the structural components. If the crack propagation is not controlled, they propagate during the flight and eventually land on the complete loss of the airplane structure. The design feature introduced into the airframe bulkheads to stop the crack propagation during the flight is crack tear straps. The approach utilizes a finite element modeling and analysis to assess the damage in the bulkheads and stringers with crack stopper straps and without crack stoppers. The design and analysis tools used in the in this work are Catia V5 and ANSYS. The analysis is carried out under fixed support conditions of the fuselage structure at the maximum design load conditions. The fatigue life of the stiffened panel with tear strap is more than the panel without tear strap. The deformation under cyclic loads for the panel with strap is less than the fuselage stiffened panel without crack strap 11 30 2019 9858 9864 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9149.118419 https://www.ijrte.org/portfolio-item/D9149118419/ Research Scholar, Sathyabama University, Assistant Professor, Department of Information Technology, Jeppiaar SRR Engineering College, Chennai, India. N. Suganthi* Dr. S. Meenakshi Professor and Head of the Department, Department of Information Technology Jeppiaar SRR Engineering College, Chennai, India. With rapid proliferation of radio technology, discontinuous spectrum aggregation and access in a single radio has become conceivable. When the bandwidth of the spectrum fragment is narrow, then spectrum aggregation can be utilized to bundle multiple small fragments in one radio. This can positively improve the efficiency of the spectrum utilization. Though, aggregation of fragmented segments leads to improved spectrum utilization it results in further spectrum fragmentation leading to practical hardware constraints. As a solution, we use the popular memory allocation techniques to perform spectrum aggregation so that further fragmentation can be reduced. We derive at an efficient Spectrum Aggregation Algorithm based on Memory Allocation techniques. 11 30 2019 9865 9868 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9151.118419 https://www.ijrte.org/portfolio-item/D9151118419/ Associate Professor, Department of Management Studies, Bharat Institute of Engineering and Technology, Hyderabad, India Dr. V. B. Devi Bala* The IT sector is the backbone of service sector in Indian economy and brings significant foreign revenues which boost our economy. Even during the economic turmoil over the globe, particularly in developed countries, Indian IT sector came out successfully managing the entire economic imbroglio. Tamil Nadu, particularly, Chennai is considered to be one of the biggest IT hubs in India having presence of very big IT companies. The availability of skilled employees with cheap labor cost in Tamil Nadu is an important reason. Given the rosy picture of IT sector, it is bound to have problems. High attrition in the IT industry has always been the greatest concern and a subject of considerable analysis and debate. Organizations use different methodologies for calculating the attrition rate. HR experts felt that it is a known factor that attrition calculation is grey area which does not depict the true picture, while a few techniques are common however there are no proven theories yet. Further, the approach to this calculation might vary from organization to organization. At the same time the rate of attrition is also felt in these companies. The study is conducted on Tier II cities like Madurai, and Coimbatore and employee retention is also felt in the IT companies. In this context, the researchers, attempted to decipher the reasons for attrition in IT companies situated in Madurai district. In order to study the situation, 55 IT companies in Madurai district were taken as global population and 300 samples were identified through Simple Random sampling method. Eleven critical factors with 92 predictors were selected. The results from the statistical analysis showed that all the eleven CFs were statistically significant and has close association with the employee attrition and retention process in IT companies in Madurai. 11 30 2019 8380 8389 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9152.118419 https://www.ijrte.org/portfolio-item/D9152118419/ BharatiVidyapeeth (Deemed to be University) Pune, India Sunil S. Deo* Milind R Gidde Civil Engineering BharatiVidyapeeth(Deemed to University) College of Engineering, Pune, India Potable ground water quality is at risk due to contamination by pollution, sewage, industrial effluents along the nearby areas of Mula-Mutha river banks in eastern metropolitan region of Puneand needed treatment especially disinfection for making it domestically usable. The phytoremediation is one of the important useful method when considered for treatment of water in rural area. The study involved monitoring the quality of ground water in the selected areas along the banks of the river using physicochemical and biologicql parametersin continuation with our earlier studies. For the disinfection treatmentthe commonly found plantsin the area viz. Neem, Tulsi, and Amlawere selected and for the water samples, onsite river water samples and bore well water samples were used. The plants leaves were extracted by water and alcohol and the extracts in dose response manner were used to treat the water. The treated water was monitored for presence of Total coliform and E.coli, the indicators of contamination, using petri film method. The resultsshowedrandom presence of total coliform and E.coli in bore well water samples indicating contaminationand the need fordisinfection.The disinfection study showed that alcoholic leaves extracts were more potent in disinfecting the water samples than aqueous extracts. The complete disinfection by alcoholic extracts was shown at concentration of 21.12mg, 42.8mg and 24.07mgfor Tulsi, Neem and Amla respectively. 11 30 2019 9869 9875 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9153.118419 https://www.ijrte.org/portfolio-item/D9153118419/ Research Scholar, Sathyabama Institute of Science and Technology, Chennai, India. M Selvi* P M Joe Prathap Associate Professor, Department of Information Technology, RMD Engineering College, Chennai, India. In the current secure data aggregation strategies, decrease within the energy utilization isn't greatly talked about and consolidated answer for both trustworthiness and confirmation isn't tended to. In this paper, we propose to structure an Energy Efficient Secure Data Aggregation Protocol for wireless sensor networks. In this protocol, we fuse the confirmation as well as protection to keep up the productivity of the data aggregation. Initially the network been partitioned into bunches, every group is going through an aggregator also the aggregators are associated with sink each straightforwardly otherwise by different aggregators. The aggregator has been chosen dependent taking place the closest separation toward a lot of sensor hubs as well as its energy level. Detached inputs has been circulated toward the two points i.e., sensor hub to the aggregator as well as aggregator to the sink. At whatever point a sensor hub needs to mail information toward an additional hub; former the sensor hub scrambles the information utilizing a input also mails it toward the aggregator. For honesty of the information parcel, a MAC support confirmation policy is utilized. Reenactment outcome confirm so as to our planned protocol have decreased energy utilization though achieving great bundle conveyance proportion. 11 30 2019 9821 9824 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9154.118419 https://www.ijrte.org/portfolio-item/D9154118419/ Associate Professor, Department of Civil Engineering, Annamalai University, Chidambaram, India. R Balamurugan* G Srinivasan Associate Professor, Department of Civil and Structural Engineering, Annamalai University, Chidambaram, India. J Thirumal Assistant Professor, Department of Civil Engineering, Anna University Regional Campus, Thirunelveli, India. R Rajendran Assistant Professor, Department of Management Science, Muthurangam Arts College, Vellore, India. R Sivakumar Assistant Professor, Department of Management Science, Govt. Arts College, Kulithalai, India. This exploration paper centers around the idea of green technology that has risen up out of the purpose of trouble created because of biological lopsidedness. Along these lines, environmental insurance has become a key concern around the world. It is brought about by the predominant biological troubles. The scope of concentrates that have been incorporated into green technology is to configuration, alter, and change items towards sustainable development. This likewise incorporates adjustment in the generation strategy, bundling process, and limited time movement to make environmental cognizance among purchasers. Today, the focal point of our general public is to achieve sustainable development in all perspectives. The examination paper audits the writing dependent on the green technology mediation approach and sustainable development for unraveling environmental issues in the present situation. This includes biological prosperity by temperance of financial needs through condition benevolent item and techniques for the present and future age. It endeavors for interlinking green technology with sustainable development for environmental safety. 11 30 2019 9825 9828 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9155.118419 https://www.ijrte.org/portfolio-item/D9155118419/ Research Scholar, Sathyabama Institute of Science and Technology, Chennai, India. R Revathy* R Aroul Canessane Professor, Department of Computer Science and Engineering, Faculty of Computing, Sathyabama Institute of Science and Technology, Chennai, India. Big Data has been utilized on behalf of huge measure of information gathered through various implies as well as in different designs. Data Veracity eludes toward the vulnerability of accessible data which implies the nature of the gathered information can't be confident. This article gives an account of continuous research dependent on utilizing the Semantic Web innovation toward confirm client’s keyed in information as well as increment steadfastness taking place Big Data. Approving, data cleansing as well as decreasing gathered information is the significant exercises needed toward upgrade the nature of the gathered data. 11 30 2019 5586 5588 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9156.118419 https://www.ijrte.org/portfolio-item/D9156118419/ Research Scholar,Business School KoneruLakshmaiah Education Foundation, Vaddeswaram, AP, India. Deboshree Chatterjee* AVS Kamesh Professor,Business School, KoneruLakshmaiah Education Foundation, Vaddeswaram, AP, India In a country, banking sector servers as the foundation on which the pillars of economic growth and development can be constructed. With the major reforms in banking sector, the scenario of bank market has been changed. Target market of banking sector has become highly competitive, dynamic and fragmented. Hence, there is a need for a shift from the transactional marketing strategy to relationship-based marketing strategy in all the banks. This study reviewed the conceptand need of relationship marketingin banks andattempts to identify significant dimensions of relationship marketing and their impact on customer satisfaction. The paper concludes on the basis of extensive literature review thatrelationship marketing dimensions like quality service, tailored products, communication, trust, commitment, empathy, social bonding, financial bonding, cooperation, andtechnology should be taken into serious consideration by banks to enhance the level of customer satisfactionwhich in turn increases customer loyalty and retention rate.Consequently, both the parties get mutual benefits. 11 30 2019 8754 8760 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9158.118419 https://www.ijrte.org/portfolio-item/D9158118419/ Associate Professor, University of Jeddah, College of Business, Department of Business Administration, Jeddah, Saudi Arabia Dr. Mohammad Saleh Miralam* Dr. Vikram Jeet Assistant Professor, University of Jeddah, College of Business, Department of Business Administration, Jeddah, Saudi Arabia The primary objective of the present study is measuring the consequences of perceived organizational culture on job satisfaction experienced by employees of the hotel industry. The employee owns a set of behavior and attitudes in the organization, termed as organizational culture, influences an employee's job satisfaction. Furthermore, the perception of employees towards the organization's working environment represents a job satisfaction, maybe reflected as positive or negative responses. Thus, these two different concepts have a significant effect on employees. The present study has been conducted on employees working as middle-level managers and managers in five-star hotels of northern India. To assess the relationship between organizational culture and job satisfaction, multiple correlation and stepwise multiple regression analysis has been implemented. Job satisfaction of the employees found positively correlated with all variables of organization culture among employees. The results suggested that openness, authenticity, and experimentation have an insignificant effect on job satisfaction. Further, pro-action, confrontation, and autonomy identified as the most dominant predictors for the job satisfaction of the hotel employees. 11 30 2019 8390 8396 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9160.118419 https://www.ijrte.org/portfolio-item/D9160118419/ MBA Final Year Student, Amity University, Dubai, UAE. Mr. Santosh Ashok Dr. Kamaladevi Baskaran* Head of Industry Relations, Department of Management and Commerce, Amity University, Dubai, UAE. Over the past few decades, auditing and accounting has gained extreme significance and become a crucial component in the operations of every organization. This is because responsibility is placed on organizations to satisfy all its stakeholders by complying with policies and procedures, which are viewed as ethical in nature by them. Considering the importance of auditing and accounting in the current competitive scenario, organizations have recognized that the proper petty cash auditing and accounting is a vital component in gaining a favorable image within the industry it operates apart from other types and methods of audit. However, there are other factors such as nature of the operations, size of the organization, misappropriation, theft, errors during reconciliation and accounting which affect the results of petty cash auditing and accounting. In view of the importance of auditing and accounting that enables the management for decision making, this study will provide a basic idea about the petty cash auditing, accounting, its impact on the cash balances, the overall liquidity and position within an organization. In addition to the idea and the impact about petty cash auditing and accounting procedures within an organization, this study also helps to find out how the cash used for payment of petty cash expenses utilized effectively and how the unutilized amount is accounted by the organizations. This research study will address about how organizations with the help of its internal and external stakeholders can improve its petty cash auditing and accounting procedures through feedback from all the relevant stakeholders. In addition to the global accounting policy for petty cash auditing and accounting set up by statutory bodies in the field of accounting and auditing, this study will also highlight how confident the management and the employees are about the level of transparency in petty cash auditing and accounting procedures. This study also benefits enthusiastic researchers in the field of finance and treasury who are aspiring and willing to perform advanced research on petty cash accounting and auditing and its impact on the organization’s performance. One of the most common statistical tests i.e. independent sample t-test is used to find out how petty cash audit is viewed among organizations. Through independent t-test, it was found out that the systems put in place for petty cash audit and accounting are adequate but still there exists room for improvement. 11 30 2019 8759 8768 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9165.118419 https://www.ijrte.org/portfolio-item/D9165118419/ Department of Accounting, Uzhgorod Trade and Economic Institute of Kyiv National University of Trade and Economics, Uzhhorod, Ukraine Mariya Lalakulych* Erika Yuhas Department of Accounting, Uzhgorod Trade and Economic Institute of Kyiv National University of Trade and Economics, Uzhhorod, Ukraine Lesya Rybakova Uzhgorod Trade and Economic Institute of Kyiv National University of Trade and Economics, Uzhhorod, Ukraine Alona Lysiuk Department of Accounting and Taxation, Kyiv Cooperative Institute of Business and Law, Kyiv, Ukraine Alla Kostyrko Department of Accounting and Taxation, Mykolayiv National Agrarian University, Mykolayiv, Ukraine The article discusses the theoretical and methodological bases of accounting and analysis of costs for creating an enterprise website and provides recommendations for accounting and analysis of costs for creating an enterprise website. The study of the essence of the website as a separate accounting object from a technical, legal and accounting point of view has determined that the costs of creating a company website are capitalized in the form of an intangible asset and are subject to depreciation only if they are used for their own needs and when there is a likelihood that it will create future economic benefits. That is, the cost of implementing an enterprise website is displayed according to how it is used. The article contains the rationale for the development, as well as the recommendations themselves: a) the cost of creating an enterprise site with the involvement of a contractor and the cost of developing a website independently using its own resources for information placement is offered; b) the Agreement on the transfer of exclusive property rights to the content of the site was developed; c) a comprehensive cost analysis algorithm is proposed for the enterprise web site, which will provide a well-reasoned and reasonable cost estimate. 11 30 2019 9876 9882 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9174.118419 https://www.ijrte.org/portfolio-item/D9174118419/ Department of Computer Science & Engineering, Government College of Engineering, Tirunelveli, Tamilnadu, India Rajula Angelin Samuel* D. Shalini Punithavathani Department of Computer Science & Engineering, Government College of Engineering, Tirunelveli, Tamilnadu, India The demand for internet and its applications has eventually led to the depletion of the dominant IPv4 addresses. This has resulted in the inevitable need for the next generation Internet Protocol IPv6, which contains an enormous pool of IP addresses. Address Autoconfiguration, a remarkable feature of IPv6 enables a node connected in the network to automatically configure an IP address for its interface and instantly participate in network communications. The Internet Engineering Task Force (IETF) has classified autoconfiguration into Stateless and Stateful mechanisms. Several IPv6 protocols have been employed to achieve autoconfiguration of networks. However, in addition to the excellent competence of this feature, autoconfiguration certainly suffers in terms of security and optimization. This paper attempts to enlighten the need and merits of Address Autoconfiguration and finally highlights the challenges, open issues and countermeasures involved in achieving this in real time environment. 11 30 2019 9883 9891 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9178.118419 https://www.ijrte.org/portfolio-item/D9178118419/ Civil Engineering department, Gokaraju Rangaraju Institute of Engineering Technology, Affiliated to JNTUH, Hyderabad. Swetha G* Chandana I Civil Engineering department, Gokaraju Rangaraju Institute of Engineering Technology, Affiliated to JNTUH, Hyderabad. Rakesh M Civil Engineering department, Gokaraju Rangaraju Institute of Engineering Technology, Affiliated to JNTUH, Hyderabad. Pavement evaluation is a technique of assessing the condition of a pavement, both structurally and surface characteristics. Pavements which have been subjected to traffic, deform elastically under load which depends on type subgrade soil and its compaction level, pavement thickness and its composition, drainage conditions, pavement surface temperature and wheel load. There are number of different types of pavement deflection testing equipment which are being used all over the world. The most common types are Benkelman Beam Deflection (BBD), Falling Weight Deflectometer (FWD) and Dynamic Cone Penetrometer. BBD test widely used method in which rebound deflection is measured on static loading and there by evaluating strength of the pavement. However with limitations and practical difficulties of BBD, FWD was chosen for the study. The deflections of the pavement are recorded due to the dynamic loading and studied for further strength determination. A 4-lane National Highway has been selected and tested for residual strength and it is designed for overlay as per IRC:115-2014 & IRC:37-2012 using FWD equipment and with the assistance of KGPBACK and IIT PAVE software’s. An overlay of 50 mm on one direction and 100 mm on opposite direction was recommended to meet the functional and structural requirement respectively. 11 30 2019 8491 8494 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9181.118419 https://www.ijrte.org/portfolio-item/D9181118419/ Assistant Professor, Food Technology, Department of Chemical Engineering, VFSTR, Guntur, India. Er. Anshul Dhawan* Er. Parinder Kaur Assistant Professor, Food Technology, Department of Chemical Engineering, VFSTR, Guntur, India. Snacks are a form of convenient light mealwith attractive taste and texture that not only engages the taste buds of the consumer but can also provide adequate nutrition. Snacks are usually consumed in between major meals. Flaked snack like breakfast cereals is also eaten either in the breakfast time or as an evening snack. However, the critical criteria for snack foods is that it should be attractive such that a consumer should buy again. Snack food industries are looking for attractive and innovative snacks that not only offer a good enjoyable product but also supplies lesser energy with improved nutritional status. Developing a shelf-stable snack food with grains as a major ingredient would require a processing technique with minimum loss of food grains. Breakfast cereal is one of the important and most convenient products which not only can serve as nutrient dense product but could also remarkably enhance the bio-availability of proteins, minerals and also significantly enhances its dietary fiber content. In the present study, the effect of processing i.e. flake making from grain parts (grits) or from grain flour, and final toasting condition such as moisture content of the raw grit flake or flour flake on the quality attributes of the flaked snack has been investigated. The CIE LAB instrumental color space parameters (L*, a* and b*), and the thickness of puffed of the snackshave been correlated with the sensory attributes of the products. The results presented have shown that maize grit based flakes are the best acceptable product with improved sensory and nutritional characteristics. 11 30 2019 9741 9745 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9185.118419 https://www.ijrte.org/portfolio-item/D9185118419/ Assistant Professor, Department of Food Technology,VFSTRU, Vadlamudi K. Murali Naik* A. Rama Rao Assistant Professor Department of Agricultural Engineering ,VFSTRU, Vadlamudi V.V Tejaswini Assistant Professor Department of Agricultural Engineering ,VFSTRU, Vadlamudi K. Sai Manogna Assistant Professor Department of Agricultural Engineering ,VFSTRU, Vadlamudi This study was done to develop a low fat fortified paneer by using different types of milks viz., whole, standardized, toned and skim milks. One sample product was prepared from each milk type among the four different types of milk and evaluation was done based on hedonic scale rating. For low fat fortified paneer preparation toned, skim milks were optimised into a raw milk base to which coagulant was added. Citric acid (2%), Glucono Delta Lactose(GDL- 0.0035%) were added at 90c to the raw milk base. Citric acid facilitate the optimum coagulation of casein micelle. GDL aids in forming softer texture which also compensates the fat losses in whey. Milk is fortified with vitamin D to enhance nutritional property.The objective is to prepare a low fat fortified paneer . The organoleptic properties were analysed by sensory testing on daily basis for evaluation of shelf life for about 10 days. Upto sixth day, the overall acceptability in all parameters like appearance, texture/body, flavour is fairly satisfactory whereas from the seventh day a slight declination was observed due to the progressive degradation of the sample. Eventually, the overall acceptability for the final day was not too negligible on hedonic scale rating. Hence, toned milk was optimized and is proximately considered for the preparation of low fat fortified paneer when compared relatively with whole, standardized and skim milks. 11 30 2019 8402 8408 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9187.118419 https://www.ijrte.org/portfolio-item/D9187118419/ Department of chemical engineering, Assistant Professor, Vignan’s Foundation For Science, Technology And Research, Vadlamudi, Guntur, Andhra Pradesh, India. Kumkum C R* Anushree Dave Management Trainee, Akshayapatra, Vrindavan Dr. Payel Ghosh Department of Chemical Engineering, Assistant Professor, Vignan’s Foundation For Science, Technology And Research, Vadlamudi, Guntur, Andhra Pradesh, India. Ongoing global drive for a healthier diet has led to a rise in demand for convenient and fresh food produce, with high nutritional value and free of additives. Shelf life of pomegranate is lessened beneath 4°C or above 10°C temperatures because of increased parching and rate of rot resulting changes in physiochemical attributes and physiological disorders. Use of edible coating involving aloevera gel and an essential oil in the arils of Pomegranate reduces the respiration rate and exposure to microbial growth due to their ant oxidative and antimicrobial activities. In present study, the coated 0.25% cinnamon oil and 20% aloevera gel pomegranate arils were being packed in different Polymers under cold storage temperature (5oC) and assessed for physiochemical attributes such as physiological loss in weight (PLW), pH, acidity, TSS, hue angle and chroma, enzymatic activity which include L - phenylalanine ammonia lyase assay (PLA), Polyphenol Oxidase (PPO), Superoxide Dismutase (SOD), microbial load and organoleptic attributes to assess the effect of coating in enhancing its shelf life. This study also shows the best combination of edible gel-oil coating and packaging material that would be more suitable for prolonging the shelf life of pomegranate arils. Among the three packaging materials used, LDPE 50, HDPE 30 and HDPE 50, the coated pomegranate when stored in HDPE 30 has shown to be the most desirable results. 11 30 2019 12471 12479 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9188.118419 https://www.ijrte.org/portfolio-item/D9188118419/ have position of asst. professor in vignan’s foundation for science, technology and research. He has done his master degree from IIT Dhanbad. V Sreeharsha Pulak Jawaria has done master degree from IIT Dhanbad. Vishesh Bhadaria has master degree from IIT Dhanbad. In petroleum industry, gas lift optimization is the most important for evaluating the reservoir. By improving the gas lift operation we can save money and time which we spend on the reservoir for effective production. The mainly accepted scenario of gas lift is to maximize production by using minimized cost infrastructure. If the production rate is increased, then the cost of oil production also increases due to the increase in surface facilities and increase in cost of gas compression to higher pressures. The production rate and production cost during gas lift are mutually conflicting in nature i.e., if anyone desires to increase the oil production rate, then at the same time it is difficult to minimize the cost of production. Therefore, this is an ideal candidate for multi-objective optimization study, where production rate needs to maximized while minimizing the cost of production. The oil production rate is calculated using nodal analysis of inflow performance and outflow performance curve while the production cost is calculated using the brake horsepower requirement of the compressor. Oil production rate during a gas lift operation can be defined as a function of various factors like (i) depth of gas injection, (ii) gas injection rate (iii) gas lift injection pressure, (iv) wellhead pressures, (v) bottom hole pressure, (vi) tubing size, (vii) surface choke size/wellhead pressure. Production cost mainly depends on the cost of gas compression which further depends on the pressure up to which gas has to be compressed in the annulus so that the gas lift valve at the bottom of the well opens. The opening of gas lift valve depends on the bottom hole pressure in the tubing i.e. the density of mixture present inside the tubing. The multi-objective gas lift optimization is carried out using multi-objective evolutionary algorithms (EAs) that use non-dominated sorting called elitist non-dominated sorting genetic algorithm (NSGA-II). In this project, we aim to find the optimum values of the decision parameters i.e. gas injection rate and wellhead pressure, for which oil production rate would be maximized while minimizing the cost of oil production. 11 30 2019 9737 9740 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9189.118419 https://www.ijrte.org/portfolio-item/D9189118419/ Department of Petroleum Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram-522502, Andhra Pradesh, India. Venkata Ramana Avula* Venkata Swamy Nalajala Department of Chemical Engineering, Vignan’s Foundation for Science, Technology and Research, Vadlamudi, Guntur (Dist.), Andhra Pradesh, India. K. Rajesh Kumar Department of Petroleum Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram-522502, Andhra Pradesh, India. Drilling fluid or mud is essential fluid in drilling operation which has many important properties and one of the important properties is the viscosity of the drilling fluid and the viscosity is further classified as yield viscosity and plastic viscosity which means different in terms of its function. This paper is attempting to show the rheological characteristics of the different samples of the drilling fluid using Xanthan Gum and Physillum husk and different weighting agents Barite and Calcium Carbonate at ambient conditions. The results showed that xanthan gum acts as good viscosifying agent as compared with physillum husk. In addition that, the water based drilling mud with barite which act as weighing agent proved better as compared with calcium carbonate. The following paper will be valuable to the graduates, future graduates and also to the Industry personnel have a basic idea about the rheology and how the parameters related to the rheology are valuable in mud design. 11 30 2019 9720 9722 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9190.118419 https://www.ijrte.org/portfolio-item/D9190118419/ Department of Textile Technology, Vignan's Foundation for Science, Technology & Research (Deemed to be University), Guntur, India. B. Venkatesh* Md. Vaseem Chavhan Department of Textile Technology, Vignan's Foundation for Science, Technology & Research (Deemed to be University), Guntur, India. Goverdhanrao Ch. Department of Textile Technology, Vignan's Foundation for Science, Technology & Research (Deemed to be University), Guntur, India. M. Siva Jagadish Kumar Department of Textile Technology, Vignan's Foundation for Science, Technology & Research (Deemed to be University), Guntur, India. Most of the cotton fabrics at present are dyeing using reactive dyes which requires large quantities of salt, further produce large amount of effluent load to the environment in the form of more salinity in the effluent water along with other pollutants. In order to reduce the salinity in the waste water lot of investigations were carried out. Cotton fabrics pretreated with chitosan were dyed with reactive dyes. Pretreated samples were dyed without using salt as an electrpolyte. The influence of pretreatment on kinetics in dye bath i.e rate of dye particle movement towards the fabric, wash fastness, rubbing fastness was determined. The results of this study shows that the pretreatment of cotton with chitosan increases dye uptake and shows good fastness to washing and rubbing same as that of conventional way of dyed samples. It was determined that chitosan was effective cross linking agent in salt-free dyeing of cotton fabrics. 11 30 2019 9723 9726 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9191.118419 https://www.ijrte.org/portfolio-item/D9191118419/ Dept. of Mathematics, Kalinga Institute of Technology, Deemed to be University, Bhubaneswar, 751024, India, Nirakara Pradhan* Sapan Kumar Samal* Dept. of Mathematics, Kalinga Institute of Technology, Deemed to be University, Bhubaneswar, The longitudinal wave propagation in a thermally conducting elastic medium has been investigated. Considering the equations of motions of longitudinal wave in displacement and temperature field, the frequency equation has been derived. The dispersion and damping equations have been derived for the propagation of longitudinal wave in four materials i.e Copper, Steel, Aluminum, and Lead. Effect of Phase velocity and damping coefficient are shown graphically. It is found that the increase in wave number results the decrease in Phase velocity and increase in damping coefficient. 11 30 2019 8769 8771 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9205.118419 https://www.ijrte.org/portfolio-item/D9205118419/ Electronics and communication engineering, Vardhaman college of Engineering, Hyderabad, India Dr. S. Janardhana Rao* J. Abhilash Electronics and communication engineering, Vardhaman college of Engineering, Hyderabad, India. Present embedded technology revolving around IoT technology. An IoT referred as a communication of varies devices through Internet protocols. Day by day peoples lifestyle is changing according with the time, people In the event that you do not have the opportunity to treat yourself, this will prompt an expansion in the quantity of interminable and heart mutations. The present emergency clinic based wellbeing framework doesn't treat conditions requiring quick treatment, for example, coronary episodes. The objective presently is to move from medical clinic based treatment to quiet focused treatment. This venture proposes a wellbeing reconnaissance framework that screens the basic parameters of patients such as temperature, pulse rate, Patient position and location. If any abnormal situations are arrived then this system will informed to belonging doctor through registered Phone number and share location of patient. 11 30 2019 8502 8505 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9206.118419 https://www.ijrte.org/portfolio-item/D9206118419/ Assoc.Prof, Dept. of Computer Science & Engineering, Narasaraopeta Engineering College [Autonomous], Narasaraopet, Guntur(Dt), A.P., India. Lakshmi Naga Jayaprada. Gavarraju* Kanadam Karteeka Pavan Professor & Head Department of Computer Applications, R.V.R.& J.C.College of Engineering [Autonomous], Chowdavaram , Guntur , A.P., India. Multiple Sequence Alignment (MSA) is vital in Bioinformatics, helps in finding evolutionary relationships among multiple species. MSA is a NP-complete problem. Though there are a number of tools recent Meta-heuristics are found to be effective in solving MSA problem. Differential Evolutionary Algorithm (DE) is one of the optimization algorithms with various mutants. This work proposes a new mutant for DE, defined using local best and worst chromosomes with current generation population. The performance of the new mutant is evaluated using 50 well known bench mark data sets in sabre (SABMARK v1.65). The results are matched with all the other DE mutants, Genetic Algorithm (GA) and recent Teacher Learner Based Optimization algorithm (TLBO). The proposed DE mutant outperformed all the other DE mutants, GA and TLBO in solving MSA problem. 11 30 2019 9892 9897 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9208.118419 https://www.ijrte.org/portfolio-item/D9208118419/ Assistant Professor, Department of Industrial Biotechnology, Bharath Institute of Higher Education And Research, Chennai (Tamil Nadu), India. E. Kowsalya* Dr. L. Jeyanthi Rebecca Prof. & Head, Department of Industrial Biotechnology, Bharath Institute of Higher Education And Research, Chennai (Tamil Nadu), India. Due to Modernization and urbanization constructing industries are fast growing also it leading to high demand of constructing materials because of expensive prices, and for the construction industry, usage of steel is currently limited heavily Many studies have been carried out to identify highly available, low cost innovative material to use in construction industry as a solution to meet the ever increasing demand for raw material. Bamboo was used as a construction material as a coarse aggregate, steel reinforcement. Bamboo has a higher compressive strength than wood, brick, or concrete and a tensile strength that rivals steel. water absorption in bamboo was the main problem used for construction .because The durability of the concrete is largely affected by absorption of water. Also poly ethylene bags are widely used in the country and its disposal after use causes more problems ,Mismanaged waste of polyethylene bags is the current threatening to the environment this waste is largely availbe its abundant high resistance to insects, fungi, animals, as well as molds, mildew, rot and many chemicals. In this study cubic bamboo was used as a coarse aggregate and it was coated with the waste LDPE bag melt ,as one of the coating material and other one is neem oil.and it was investigated to find the water absorption and turbidity, antifungal activity and compressive strength some other parameters in bamboo material with coatings it was observed that compared to untreated bamboo the polyethylenene coated bamboo material shows reduction in water absorption level and turbity. 11 30 2019 9226 9230 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9209.118419 https://www.ijrte.org/portfolio-item/D9209118419/ Assistant Professor in Department of Computer Science at S.J.H.S Gujarati Innovative College of Commerce and Science Urmita Mehta* Dhanraj Verma Currently working as Professor in Department of Computer Science & Engineering, Dr APJ Abdul Kalam University, With the growth of technology there is lot of data available on the internet. Social media platform like Twitter, FaceBook,Google+,whats app,instagram etc are the platform that allow people to share and express their views, ideas, thoughts and experiences about any topics, post messages across the world. There are mainly two types of textual information available on social media platforms. One is fact and another next one is sentiments or more formally it can also called opinion. The social media is a platform where people gives their opinion regularly. These opinions may contain some factual information. For the analysis of sentiments we required some tools. Mostly text based mining is used for opinion mining. Text mining required lots of different tools and research work. This paper, provides a machine learning techniques for opinion calculation in Twitter.. 11 30 2019 9727 9732 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9211.118419 https://www.ijrte.org/portfolio-item/D9211118419/ Assistant professor kongunadu college of Engineering and Technology, Thottiam, Trichy, Tamilnadu,India. K. Thiyagu* P. Kanaka Assistant professor kongunadu college of Engineering and Technology, Thottiam, Trichy, Tamilnadu,India. R. Elanchezhiyan Assistant Professor Muthayammal College of Engineering, Rasipuram, Tamilnadu, India. The use of cold-formed thin-walled steel structural members has increased in recent years. Especially, Cold-formed steel columns are widely used in the construction industry due to their lightweight, easy installation, erection and economy. The strength and efficiency of cold-formed steel profiles depends on the cross-sectional shape, which controls the three fundamental buckling modes: local, distortional and global. As most of their sections are open with only one symmetrical axis, they would likely fail by twisting and interacted with the other buckling modes such as local and distortional buckling. In order to improve the ultimate strength of columns, a built-up column section with distinct shape was selected from the detailed study of Literatures and three specimens of thickness 1.6mm were fabricated with different lengths 500mm, 600mm and 700mm. Consequently, buckling behaviour of built up steel members was investigated theoretically with Direct Strength Method (with the help of CuFSM) as well as experimentally and the results were compared with the buckling modes obtained numerically using ANSYS software and it is found that the ultimate load carrying capacity of the column increases with the decrease of slenderness ratio and finally a new innovative and economical column element was presented. 11 30 2019 8409 8413 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9216.118419 https://www.ijrte.org/portfolio-item/D9216118419/ Associate Professor & Head of the Department in Civil Engineering at Kongunadu College of Engineering &Technology, Thottiam, Trichy Dr.S. Kavipriya* Utilization of waste materials in concrete are increasing day by day. Ingredient replacements in concrete using waste materials are one of such threads which bind nature and concrete in a greener way to provide a better environment for the future. Reduction in environmental pollution, effective usage of waste management, the economic factor and quality of concrete are the predominant aspects by which the replacement materials are chosen.[1] Geopolymer Concrete has emerged as one of the possible alternatives to OPC, since 100% of fly ash is used instead of Portland Cement.. In this present study, the prime material which is used as the source material is fly-ash (ASTMC618) which completely replaces cement..Also fine aggregate has become very expensive and scarcity, quarry rock dust have been replaced for fine aggregate. Almost all the demolition and construction waste have been dumped without any usage which ultimately results in pollution.[2] This prime factor is considered to reutilize recycled coarse aggregate instead of coarse aggregate . A greener aided with natural friendly claim can be made only with the usage of the waste materials. To find the better combination mix, the GPC is categorized into four types as GPC-1, GPC-2, GPC-3 and GPC-4. In all the above combination of mixes fly ash is used as prime source material whereas QRD and RCA are replaced with different combinations. Thus this paper, particularly focuses on the effect of replacement of waste materials in combination of different mixes such as FA+CA, QRD+CA, FA+RCA, and QRD+RCA in GPC. The casted specimens are cured at ambient temperature and after three days of rest period, the casted specimens are tested to determine its mechanical strength properties using standard methodology. 11 30 2019 8414 8418 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9217.118419 https://www.ijrte.org/portfolio-item/D9217118419/ Universiti Kuala Lumpur Malaysian Institute of Aviation Technology, Selangor, Malaysia. N F Zulkefli* M A Ahamat Universiti Kuala Lumpur Malaysia France Institute, Selangor, Malaysia. N F Mohd Safri Universiti Kuala Lumpur Malaysian Institute of Aviation Technology, Selangor, Malaysia. N Mohd Nur Universiti Kuala Lumpur Malaysian Institute of Aviation Technology, Selangor, Malaysia. A S Mohd Rafie Universiti Putra Malaysia, Selangor, Malaysia. An experimental study was conducted to investigate the aerodynamic performance of the NACA 4415 airfoil with and without passive vortex generators. The measurement has been carried out for three considered cases: smooth airfoil for baseline case, airfoil with triangular vortex generator and also airfoil with shark skin shape vortex generator. Both the triangular and shark skin vortex generators were located at 50% of chord from leading edge of the airfoil with a 20° counter-rotating incident angle. The experiments were conducted with Reynold’s number of 100,000. Overall, the results indicate that the lift and drag coefficients, and lift-to-drag ratio, for the airfoil with sharkskin vortex generator are comparatively higher than the other airfoils at some angles of attack. The findings can be applied in optimizing shark skin shape vortex generator for the airfoil performance enhancement. 11 30 2019 9231 9234 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9222.118419 https://www.ijrte.org/portfolio-item/D9222118419/ Department of Mechanical Engineering, College of Engineering, Hassan Usman Katsina Polytechnic, Katsina, 2052 Nigeria. Ibrahim Mohammed* Abd Rahim Abu Talib Department of Aerospace Engineering, Faculty of Engineering, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia. The paper presents experimental investigation on the behavior and burn through responses of a flat plate composite of fiber-metal laminates composites of aluminum alloy 2024-T3 with carbon and natural fibers subjected to environmental conditions in fire designated zone of an aircraft engine exposed to fire. The main purpose of this study is to know the different burn through time responses of different forms of aluminum alloy with synthetic and natural fibers. The composites were designed and developed to improve the flame fire resistance in a fire designated zone of an aircraft engine in near future for prolonged burning through time that will at least withstand the fire flame for 15 minutes according to the ISO 2685 standard. The composites are fabricated by hand lay-up method in a mold of 300 mm x 300 mm and compressed by compression machine. Based on the obtained results, some of the composites are indicated to be fireproof while some others are fire resistant. It is shown that the carbon fiber reinforced aluminum alloy laminate with only aluminum at top and bottom (CF+AA) of the composites can resist more flame temperature than the carbon fiber reinforced aluminum alloy laminate with alternate layers of aluminum and carbon fiber (CARALL) with 7.86%, the sandwich of carbon fiber with flax with 18.2% and the sandwich of carbon fiber with kenaf with 23.43%. In conclusion, the study reveals that aluminum alloy 2024-T3 with carbon fiber and some types of natural fibers composites possess good properties of resisting high temperature of fire designated zone of an aircraft engine nacelle. 11 30 2019 9235 9238 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9224.118419 https://www.ijrte.org/portfolio-item/D9224118419/ Department of ECE, GMR Institute of Technology, Rajam, India. T. Govinda Rao* T. Narasimhappadu Department of CSE, IIIT, Srikakulam, India. A. Sudhakar Department of ECE, GMR Institute of Technology, Rajam, India. IoT (Internet of Things) is a system of inter relating computer device, objects, people, digital and mechanical modules that are furnished with interesting identifiers and capacity to exchange information over a system without expecting human-to-human or human-to-PC connection. In present scenario the catastrophic accidents that are occurring in educational institutions, hospitals, factories, and industries are mostly due to blaze. In order to avoid the damage due to these blaze accidents, the proposed system is going to implement a blaze detection and corroboration system using ardunio which will give the fast response and can provide the information of affected region along with the location. This proposed system will be under the control of IoT. The proposed system will turn out to be more effective and helpful. In this way, by utilizing the proposed framework it can decrease the loss of life and property because of the fire mishaps and the country economy will not be affected by these tragic accidents. In this system is going to use an ardunio, sensors, Wi-Fi module and a camera. A Servo motor will be connected to the camera so that; it can rotate and can view the area where the fire is detected. Ardunio software is used in order to implement the proposed system. 11 30 2019 8420 8425 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9238.118419 https://www.ijrte.org/portfolio-item/D9238118419/ Assistant Professor Mechanical Engineering Department Amity School of Engineering & Technology Amity University, Noida U.P India Prem Narayan Vishwakarma* Ajay Sharma Assistant Professor Mechanical Engineering Department Amity School of Engineering & Technology Amity University, Noida U.P India This research is concerned with description of a scheme for bearing’s localized defect detection based on wavelet packet transform (WPT). WPT provides a high resolution time-frequency distribution from which periodic structural ringing due to repetitive force impulses, generated upon the passing of each rolling element on the defect, are detected. The objective of this work is to emphasis on the outer race defect, inner race defect and ball defect. In modern industrial scenario, there is increasing demand for automatic condition monitoring that reduce the gap between digital model and actual product. With reliable condition monitoring, faults such as machine element failures could be identified in their early-stages and further damage to the system could be prevented. Successful monitoring is a complex and application-specific problem, but a generic tool would be useful in preliminary analysis of new signals and in verification of known theories. 11 30 2019 9829 9833 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9245.118419 https://www.ijrte.org/portfolio-item/D9245118419/ Assistant Professor in the Department of Information Science and Engineering at NMAMIT, Nitte, Karkala, Karnataka. Tanzila Nargis* Nikitha Saurabh Assistant Professor in the Department of Information Science and Engineering at NMAMIT, Nitte, Karkala Psychological stress has become a common condition in today's world owing to the busy life style and competitive environment. This has led to increase of suicidal rates in the recent years. Lately, there has been a tremendous increase in interactions in the social networking sites. As people are spending long hours in the virtual world it is easier to detect and analyze the stress levels of the social media users. In this paper, we have proposed a hybrid approach which is a combination of Factor Graph (FG) model and Convolutional Neural Network (CNN) to analyze the textual contents in social media users’ tweets and posts to detect the level of stress of a user. The tweets of an individual user are gathered from Twitter platform which is preprocessed and passed to the cross autoencoder embedded CNN Model which outputs user level attributes. These are then input to the Factor Graph model that detects the stressed tweets. A mechanism has been proposed to inform the friends or relatives of the concerned stressed user if the detected stress level is above the given threshold. 11 30 2019 9733 9736 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9248.118419 https://www.ijrte.org/portfolio-item/D9248118419/ Department of Economics, Faculty of Business and Economics, Universitas Airlangga, Surabaya, Indonesia. Dyah Anisa Permatasari* Lilik Sugiharti Department of Economics, Faculty of Business and Economics, Universitas Airlangga, Surabaya, Indonesia. Ahmad Fudholi Solar Energy Research Institute, Universiti Kebangsaan Malaysia, 43600 Bangi Selangor, Malaysia. In terms of the use of information and communication technology (ICT), the East Java government actually needs to identify the groups most affected by the lack of digital inclusion. This is in accordance with one of the nawa bhakti satya's visions, namely the strengthening of people's basic rights and social disruption brought about by the 4.0 technological revolution. Budgetary wastage will occur if we do not know the size of digital poverty in urban districts, especially if various public services are in digital form, but not everyone who uses these public services understands digital.In this study, individual micro data from the 2015 and 2017 of National Socioeconomic Survey districts/ cities in East Java was used which will be aggregated with Podes data for 2018. This is seen as strong enough to analyze the factors affecting district/ city digital poverty in East Java. To map the conditions of digital poverty, classifies districts/ cities into four quadrants as seen from digital poverty and economic poverty, while to find out what factors influence digital poverty are carried out testing the structural relationship between variables using the ordinal logistic regression method.This study is analyze the condition of digital poverty along with the factors that influence it both from economic conditions, demographic conditions, and the availability of infrastructure in districts/ cities in East Java. In addition, it is hoped that the analysis in this study will be able to provide consideration for policy makers in dealing with digital poverty issues, especially pro-poor telecommunications communication policies. 11 30 2019 12450 12456 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9249.118419 https://www.ijrte.org/portfolio-item/D9249118419/ Language Academy, UniversitiTeknologi Malaysia, Johor Bahru, Malaysia. Sajjad Ahmed Hadina Habil Langauge Academy, UniversitiTeknologi Malaysia, Johor Bahru, Malaysia. This paper focuses on the specific linguistic manner that is invariably employed by the writers of court verdicts around the world. The researchers put forth an analysis of the language features adopted in writing judicial rulings through the Gricean Maxim of Manner. With a view to demystify the language of court judgements, this paper highlights the importance of employing the Gricean Maxim of Manner as a guiding principle for writing court verdicts in order to make these documents decipherable, particularly for a layman who is not equipped with specific knowledge of vocabulary and structure used in court verdicts. It is an attempt to clarify the language features of randomly selected court verdicts in juxtaposition with the Gricean Maxim of Manner, and to show how the violation of this maxim plagues these verdicts with unnecessary obscurity and prolixity of language expressions. The essential complexity of the text of these verdicts stems mainly from an excessive dependence on legalism, archaism, redundancy of expression and a baffling prolix sentence construction. As there seems to be a lack of serious attention given to the language of court verdicts, it is timely that the linguistic aspect of court judgements be investigated. The paper is based on the premise that a close compliance with the Gricean Maxim of Manner can help simplify the text of court verdicts making it easier to be understood by a layperson. 11 30 2019 9239 9242 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9253.118419 https://www.ijrte.org/portfolio-item/D9253118419/ Department of CSE, Koneru Lakshmaiah Education Foundation, Andhra Pradesh, India. P. Subhashini* K. Satya Vijaya Department of CSE, Koneru Lakshmaiah Education Foundation, Andhra Pradesh, India. G.S.K Bhargav Department of CSE, Koneru Lakshmaiah Education Foundation, Andhra Pradesh, India. V. Vijay Kumar Department of CSE, professor at Koneru Lakshmaiah Education Foundation, Andhra Pradesh, India. Searching for an optimal article which was given highest and best priority is quite harder based on requirements. Ranking is one of the best measure or a method to get the best rated and optimal article or a conference or a research paper through this huge Internet World. As Technology been increasing day by day Artificial Intelligence is the first step to get through any problem for a solution Machine learning is also an important aspect of Artificial Intelligence. Machine Learning is best known for classifying, categorizing and predicting. Rank prediction can be done through many different algorithm implementations in machine learning. But choosing the best is important for accurate results. This paper gives the most accurate results of algorithms that can be used for rank predictions for articles. To simplify and resolve this problem, solutions were given in many different ways but to achieve accuracy is necessary, in previous models this is given using supervised learning only. We proposed this research work with perfect results using both supervised and unsupervised learning. Neural Networks is the best algorithm in supervised learning for classifying and predicting within data. In unsupervised learning we used K-means clustering because of grouping the data. This work helps the user(s) for optimal search of an article and also gives a competitive spirit for author to get into the top, totally this is implemented using Machine Learning Techniques of Neural Networks, K-Means Algorithm which is a mixture of supervised and unsupervised learning for predicting ranks. 11 30 2019 9746 9750 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9257.118419 https://www.ijrte.org/portfolio-item/D9257118419/ Dept. of MCA, VBSPU, Jaunpur, India. Dr. Munindra Kumar Singh Mostly software security flaws are most important for the customers and industry. Assessing software security is necessary to reduce faults. Various quantification methods are available include fault, errors, and vulnerabilities from various perspectives. It is a very difficult task to quantify security through a model. Experts develop a new innovative idea or constructive way of evaluating security attributes such as confidentiality. In this paper, the attention that how reduces the fault during the uses of a confidentiality environment. Experts evaluate the literature review with limitations and various quantification techniques that can develop a model. The proposed model uses fuzzy techniques to correlate their parameters with the software metric sat design level. In the developed model, one can generate the surface boundary with parameters and given the complete index value of the confidentiality index. 11 30 2019 9751 9753 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9425.118419 https://www.ijrte.org/portfolio-item/D9258118419/ B.Tech, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. T. S. V. Saketh* V. V. N. S. G. Sathwik B.Tech, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. D. V. Sai Prahlad B.Tech, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. V. Gopi Tilak PhD Scholar, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. G. V. P. Chandra Sekhar Yadav PhD Scholar, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. V. S. Ghali* Professor, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. Non-destructive testing plays a vital role in industrial and biomedical applications. Non-stationary stimulation based active Infrared thermography is an emerging area of interest in subsurface defect detection and visualization. In present article, frequency modulated thermal wave imaging is employed on a numerical simulation to detect defects of CFRP specimen and applied various post processing techniques such as FFT phase, Pulse compression, principal component analysis and random projection transform for better defect detection. Defect Signal to noise ratios considered as merit of analysis. 11 30 2019 9754 9757 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9006.118419 https://www.ijrte.org/portfolio-item/D9006118419/ Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram,. P. Kanakaraja* V. Sahithi Department of Electronics and Communication Engineering , Koneru Lakshmaiah Education Foundation, Vaddeswaram K. Ramyavani Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram D. Richa Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram Now a days 60% of communication are done only through internet based in this circumstance data security is very important while we are communicating through any internet based networks like cloud, servers etc. With the help of some few sensors like temperature, alcohol or gas sensor data encrypted. In AES256 standard, the sensors convert the plain text into cipher text (which is not understandable) and it is uploaded to the cloud on the transmitter side. On the receiver side we can decode the data only with the help of AES256 key and hash code which are used on the transmitter side. In between this process any person is trying to hack the data he cannot get the original data because the data is in the form of cipher text format. 11 30 2019 9758 9763 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9264.118419 https://www.ijrte.org/portfolio-item/D9264118419/ Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P, India. N.L.S.P. Sairam* V.Venkata Sai Ajay Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P, India. B.Sai Vardhan Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P, India. Ch.Ganesh Kumar Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P, India This paper is about a system that prevents the accident of vehicles which gives more likely to lower the accidents takes place daily on roads and at the same time if any accident occurs the system will locate the vehicles location and informs to local emergency authorities automatically helps to take immediate and appropriate actions. This system is based on Arduino developed with Global Positioning System (GPS) to identify the vehicle's location and Global System for Mobile Communication (GSM) technologies. A motion sensor gyroscope with 3-axis gyroscope and 3-axis accelerometer is used that measures the vehicles velocity and tilting position when the vehicle hits by something. when the vehicle velocity is more than the defined maximum for the particular location a warning will be given automatically and if any accident occurs the geographical coordinates of place are located by GPS and sends an SMS to the authorities nearby. This system is low cost and easy to maintain. 11 30 2019 9243 9247 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9265.118419 https://www.ijrte.org/portfolio-item/D9265118419/ History department, National University of Uzbekistan named after Mirzo Ulugbek. Tashkent, Uzbekistan. Muminov Alisher* Muminov Otabek History department, National University of Uzbekistan named after Mirzo Ulugbek. Tashkent, Uzbekistan. Palvanov Khikmat History department, National University of Uzbekistan named after Mirzo Ulugbek. Tashkent, Uzbekistan. Ktaybekov Salamat History department, National University of Uzbekistan named after Mirzo Ulugbek. Tashkent, Uzbekistan. The article states that the vital need for information, the formation of the factors that contribute to its satisfaction, play a leading role at every stage of human development. Currently, interest of the international community in the development strategy of Uzbekistan and reform strategy is growing. A few years ago, those who did not properly understand the essence and significance of this development path are now studying it with great care and analyzing the wide-ranging reforms undertaken in the country over the last two or three years. From this point of view it is worth noting the importance of the article. Over the past years in the country, a lot of measures have been taken to liberalize the information sector and to ensure freedom of speech. The legal basis for the activities of mass media has been consistently and systematically improved. At the same time, the experience of foreign legislation and prospects of development of information and communication technologies were considered. As a result of strong legal framework that meets democratic requirements and socio-economic reforms in the country, the media has grown. As a result of the introduction of modern technologies in the field, new media systems such as digital, mobile and Internet TV have been introduced into the system, Internet journalism has been formed. In our country, the number and scope of non-governmental media has increased, and institutions have been set up to support them. In order to introduce modern technologies in the information sector, the work is underway to establish a 5G system. The article also addresses existing shortcomings in the field, to solve them, adopting the concept of a unified state policy in the field of information, involving citizens and the general public in government and public administration, ensuring frankness and transparency of government agencies, increasing their accountability to the public and thereby the need for further improvement of the mechanism of effective communication with the state authorities. 11 30 2019 9764 9770 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9266.118419 https://www.ijrte.org/portfolio-item/D9266118419/ Assistant Professor in Department of Electronics and Communication Engineering at KLEF (Deemed to be University), Guntur. Dr. Aswin Kumer S V* Dr. C. Raja Assistant and Associate Professor in Engineering colleges in India. His present affiliation is with KL University, Vijayawada Mandadi. Karthik Under graduate Student, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation(Deemed to Be University), Vaddeswaram, A.P. Gade.Vijaya Venkateswara Reddy Under graduate Student, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation(Deemed to Be University), Vaddeswaram, A.P., Polinati.Sri Sai Sugandhi Under graduate Student, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation(Deemed to Be University), Vaddeswaram, A.P., The concept of face recognition is in the emerging trends nowadays ,because of its wide application range .Usually ,the face recognition is used in the surveillance ,security and Here, Face recognition is used to allocate attendance for a candidate.Deep neural networks is a group of artificial intelligence entirely based on neural networks, because the algorithm will imitate the human brain, so deep learning can be a kind of imitation of the human brain.Local Binary Pattern (LBP) is a basic but also very advanced creaminess operator that names image pixels through thresholding every pixel's district and considers the outcome as just a binary number.If the recognised face is not authenticated or if unauthorised person is identified by the system ,it immediately alerts the server and the classroom door remains closed. In this project we have created our own database with faculty and students of our section using Logitech C270 HD camera with resolution of 720p/30fps. 11 30 2019 9771 9778 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9267.118419 https://www.ijrte.org/portfolio-item/D9267118419/ Department of Computer and Information Science, Department of Computer Science and Engineering, Annamalai University, Chidambaram, Tamilnadu, India. S. Prabavathy* V. Rathikarani Department of Computer Science and Engineering, Annamalai University, Chidambaram, Tamilnadu, India. P. Dhanalakshmi Department of Computer Science and Engineering, Annamalai University, Chidambaram, Tamilnadu, India. Retrieval of musical information from musical databases is a major challenging issue in a digital world. Therefore, it is necessary to develop an efficient tool for retrieving the musical information. Musical instrument classification plays a major role for retrieving the information from musical database. In order to retrieve the musical instrument efficiently, an enhanced musical instrument classification algorithm using deep Convolutional Neural Network is proposed in this paper. The proposed algorithm consists of convolutional layers interleaved with two pooling functions followed by two fully interconnected layers. There are sixteen instruments from different instrument families are taken for evaluating the performance of proposed algorithm. The experimental result shows that the proposed algorithm recognizes the instruments significantly and achieves the greater accuracy than existing algorithm. 11 30 2019 8772 8774 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9271.118419 https://www.ijrte.org/portfolio-item/D9271118419/ student at the department of Computer Science and Engineering at K L Educational foundation, deemed to be University, Vaddeswaram, and Andhra Pradesh. K. Gana Sai Prasad* P. Vamsi Sai Chidvilas student at the department of Computer Science and Engineering at K L Educational foundation, deemed to be University, Vaddeswaram, and Andhra Pradesh. Vijay Kumar Vasanthamisan assistant professor at the department ofComputer Science and Engineering at K L Educational foundation, deemedto be University, Vaddeswaram, and Andhra Pradesh. The loan is one of the most important schemes of bank. Usually the Banks are willing to give loans to the customers based on their requirements. However, unfortunately there are some customers who delay the payment of loan or unable to pay the loans due to financial status. In order to solve this problem, banks need to use thehelp of some techniques in predicting the loan repayment status. Machine Learning models are known to have a high accuracy on prediction problems, so in this paper we use some of the machine learning models in default loan prediction. 11 30 2019 9898 9901 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9275.118419 https://www.ijrte.org/portfolio-item/D9275118419/ Department of Electronics and Communication Engineering, R.M.K. Engineering College, Kavaraipettai-601206, India R. Babuji* T. Suresh Department of Electronics and Communication Engineering, R.M.K. Engineering College, Kavaraipettai-601206, India P. Gunasekhar Department of Electronics and Communication Engineering, R.M.K. Engineering College, Kavaraipettai-601206, India Lukas Krishnan C M Software Engineer, Robotics Process Automation, Nissan Digital India LLP Recent progress in learning indicates the importance of students to be active in invents things rather than passive recipients. Smart Classrooms can make a noticeable change in how teachers can teach and learners can learn. The objective of the project presented in this paper is to propose a smart algorithm that provides a means of achieving a smart classroom environment in which most of the manual processes are automated and provides an efficient way of interconnecting multiple classes, thereby providing a unique way for information transfer. The proposed algorithm uses the Internet of Things to communicate between various classrooms and transmit/receive the required information. An embedded module installed in each classroom can collect information such as attendance detail, teacher’s location, and updates the information in the server for future use. These details are then used for some critical purposes, such as sending circulars, calling a particular teacher immediately to the office, etc. 11 30 2019 8775 8778 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9279.118419 https://www.ijrte.org/portfolio-item/D9279118419/ Informatics Department, Universitas Multimedia Nusantara, Tangerang, Indonesia. Seng Hansun* Neural networks is a type of soft computing methods that widely has been used and implemented in many fields, including time series analysis. One of the goals of time series analysis is to predict future data value.In this study, we try to implement another approach using the backpropagation neural networks method to forecast the Jakarta Stock Exchange (JKSE) composite index data, which is one of the stock market change indicators in Indonesia.The study then is continued by calculating the accuracy and robustness levels of Backpropagation NN in forecasting JKSE data. The experimental result on the case taken shows an encouraging and promising result. 11 30 2019 9902 9905 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9281.118419 https://www.ijrte.org/portfolio-item/D9281118419/ Faculty of Science and Engineering, Himalayan University, Arunachal Pradesh, India Roohul Abad Khan* Javed Mallick Department of Civil Engineering. King Khalid University, Abha, Saudi Arabia Rachida El Morabet Department of Geography, University Hassan II Casablanca Morocco. The Water Scarcity is a prominent feature in Arid and Semi-Arid region. Soil moisture content is significant factor in deciding vegetation growth and also affects the performance of any water harvesting system in place. This paper evaluates the interrelationship of Soil properties with Soil Moisture content. The study covers about 13 soil Samples from Single Watershed. The soil properties covered in the study are Conductivity, pH, Bulk Density, Dry Density, Specific gravity, organic content, void ratio, and Moisture Content. Multiple linear regression analysis was done to determine significance of each soil properties for soil moisture content as individual and as whole. Modelling was done based on soil characteristics to predict Soil Moisture. Principal Component Analysis was performed to identify most significant soil properties responsible for variation of prediction of Soil Moisture content. The Correlation between location topography and Moisture Content was obtained through Cluster Analysis. 11 30 2019 12457 12460 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9284.118419 https://www.ijrte.org/portfolio-item/D9284118419/ Assistant Professor(SG), Department of Computer Science and Engineering, Saveetha School of Engineering, Chennai, India. Dr.K. Padmapriya* Mr.Gopirajan. P.V Assistant Professor(SG), Department of Computer Science and Engineering, Saveetha Engineering College, Chennai, India. Dr.K.Suresh Kumar* Associate Professor, Department of Information Technology, Saveetha Engineering College, Chennai, India. An occlusion is said to be a situation when few parts of an object cannot be viewed by human vision. Detecting an object is quite difficult to identify and not so easy to track the moving objects during occlusion. It can be achieved in two steps. The first step is to identify the foreground or background image frame by frame, by naming each and every pixel in the frame. The next step is to compare the observations at each point in the sequence of the moving object with occlusion. It can be done by subtracting the background which yields pixel as combination of Gaussians. Then the distribution of Gaussian have to be calculated to conclude the result from the background process. This method is very much useful to identify the motions in surveillance camera, repeated suspicious movement and elongated changes in the scene. 11 30 2019 9248 9252 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9287.118419 https://www.ijrte.org/portfolio-item/D9287118419/ Laboratory of Energetics and Applied Mechanics, University of Abomey-Calavi, Cotonou, Benin. Clement Labintan* Christian Adadja Laboratory of Microstructure Studies and Mechanics of Materials, University of Lorraine, Metz, France. Mohamed Gibigaye Laboratory of Energetics and Applied Mechanics, University of Abomey-Calavi, Cotonou, Benin. Hamid Zahrouni Laboratory of Microstructure Studies and Mechanics of Materials, University of Lorraine, Metz, France. Mahdia HATTAB Laboratory of Microstructure Studies and Mechanics of Materials, University of Lorraine, Metz, France. This paper deals with numerical modelling of the elastic properties of the rice straw-clay composite. This composite material is currently attracting interest because of its low impact on the environment but also for economic reasons. Benefiting from the advantages of a promising building material, straw reinforced composites attract more attention. This work allowed to model the effect of the straw inclusions on the elastic properties of the composite by a numerical approach considering the aspect ratio, the volume fraction, the orientation and the distribution of the straw inclusions. The Mori-Tanaka homogenization scheme for the RVEs is done using Digimat-MF software and the 3D composite microstructure models are generated by the Digimat-FE software. This made it possible to calculate the effective elastic properties of the clay-rice straw composites by numerical simulation. An empirical linear correlation between the volume fraction of the inclusions and the Young's modulus has been proposed. The results obtained can help to better control the formulation of the composite in developing countries. 11 30 2019 9906 9910 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9288.118419 https://www.ijrte.org/portfolio-item/D9288118419/ Associate Professor (Management) at Mittal School of Business, Lovely Professional University, Punjab. Shamily Jaggi* Dheeraj Nim Associate Professor at Oriental University, Indore. Advertising is that marketing phenomenon which is omnipresent. Everyone without even realising gets influenced by advertisements. It became a necessity for survival in today’s highly competitive market. The pressure of advertising is increasing day by day so does its expenses. Companies started to investhuge sum to create no. of advertisements to make people aware about their product/services offerings. So, it becomes mandatory to study its effectiveness and its impact on the consumer mind. Thereby, present study endeavours to examine the advertisement’s impact on consumer buying behaviour for jewellery. The people who are having the resources for buying jewellery are selected randomly for this survey. The total sample size taken for this study is 400. The data analysis is donewith Structural Equation Modeling (SEM) technique. The level of significance is taken as 5% for hypotheses testing. The results shows that there exists a positive significant relationship of customer ad perception with customer convenience, brand loyalty and customer loyalty; product placement found to have negative significant relationship with customer convenience and positive significant relationship with customer loyalty but negative insignificant relationship with brand loyalty. Another construct taken for advertisements i.e. celebrity endorsement has positive significant relationships with customer convenience and brand loyalty but negative insignificant relationship with customer loyalty. 11 30 2019 8779 8786 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9293.118419 https://www.ijrte.org/portfolio-item/D9293118419/ Computer Application, Dr. APJ Abdul Kalam University, Indore, India, Sandeep Singh Rajpoot* Dr. Dhanraj Verma Computer Application, Dr. APJ Abdul Kalam University, Indore, India The Internet of Things (IoT) is changing individual’s encompassing physical world into a data biological system that encourage our regular day to day existence. Billions of brilliant articles will progress toward becoming information producing "things" that can detect ecological changes and report their detected information in not so distant future. Utilizing the immense measure of tactile data is a key issue to understand the IoT arrangements in numerous territories. Sufficient advancements are required for information accumulation, transmission, information handling, investigation, announcing, and progressed questioning. The Internet of Things (IoT) has been picking up force in both the business and research networks because of a blast in the number of keen cell phones and sensors and the potential uses of the information delivered from a wide range of spaces. The IoT has a particularly promising future, since governments of several countries is focusing, supporting and endeavouring the undertakings for developing better establishment, even associations are considering inventive things, and organizations think about the points of interest which Internet of Things conveys to the table. IoT progress could end up being astonishing on a gigantic scale, with additionally created research and resources. 11 30 2019 9253 9256 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9295.118419 https://www.ijrte.org/portfolio-item/D9295118419/ Department of Information and Communication Technology, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, INDIA. Santhosha Rao* Casbona Jonathan Department of Embedded Systems and Instrumentation, ESIGELEC School of Engineering, Rouen, France. In recent years, owing to the proliferation of the Internet of Things (IoT), homes and offices are being translated into smart homes and offices. The paper demonstrates an IoT system for managing the visitors in a smart office environment. The automation system comprises Raspberry Pi equipped with camera and an android mobile phone. The Raspberry Pi equipped with camera is kept in the visitor’s waiting area and the consulting person possesses an android mobile phone in which the visitor management software is installed. The visitor takes an appointment using the client application installed in his android mobile phone by selecting an available slot and receives a QR code. The consulting person has the access to information regarding each appointment through professional application installed in his android phone. Whenever the visitor shows the QR code to the Raspberry Pi camera, the professional application is notified and the consulting person is able to access the list of all the visitors in real time. An intelligent token system is used to determine the order of passage when several visitors are there at the office. 11 30 2019 8787 8791 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9404.118419 https://www.ijrte.org/portfolio-item/D9404118419/