-4d90550d17f4602e0891e9e 20220705073044739 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 11 30 2019 9 1 Department of Computer Science & Eng, SSSUTMS, Sehore India Smita Sharma* R.P. Singh Director and Prof., Electronics and Communication, Maulana Azad National Institute of Technology, (MANIT) Bhopal, (M.P) India. Cloud computing innovation has now turned into a good substitute to traditional computing technological developments This advancement of technology offers a new concept of a charge-per-use access resource model based primarily on virtualization technology. Because of the numerous advantages they offer, cloud computing concepts are achieving rapid adoption. This would comprise price-efficiency, time involved, and effective use of assets in computation. Given these advantages, there are many barriers to the widespread acceptance of this emerging technology, particularly data privacy and security issues. In extension to the conventional security hazards faced by internet-connected computer systems, cloud systems have relevant privacy and security problems due to the virtualization and multi-tenancy environment of the cloud. A further research target is focused on principles of Trust Computing (TC). Although these techniques offer users with mechanisms for evaluating and assessing security, they do not yield enough controlling functionality for users. In addition, Data Centric Security (DCS) is an evolving strategy intended to protect the data itself against migration towards the cloud. 11 30 2019 1394 1399 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3875.119119 https://www.ijitee.org/portfolio-item/A3875119119/ Research Scholar, Department of Assamese Language, Dibrugarh University, Assam, India. Puspanjali Hazarika* In the present world information technology is predominant which has the ability to change the future of this Globe. Being a Futuristic Technology. Computational linguistics can change communication models among human beings. Due to the changing context and development of Natural Language Processing various new doors are open in the fields of computational linguistics. Computational Linguistics (CL) increases the applicability of Language Technology towards man-machine interactions. Globalization can convert the world into a small village. For interchange human knowledge among various communities, Auto language processing play a vital role. In this paper, it is tried to discuss the various dimension of language technology and computational linguistics. 11 30 2019 1047 1049 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3877.119119 https://www.ijitee.org/portfolio-item/A3877119119/ Student at the School of Electrical Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu- 632014, India. A. Sengupta* V. Varma Student at the School of Electrical Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu- 632014, India. M Sai Kiran Student at the School of Electrical Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu- 632014, India. A. Johari Student at the School of Electrical Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu- 632014, India. Marimuthu R Associate Professor at the School of Electrical Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu-632014, India. Waste collection and management is a subject undergoing extensive study, and solutions are being proposed meticulously. Thanks to an exponential rise in population, there is an increased production of waste, and also a significant amount of litter consisting of plastic, paper, and other such products carelessly thrown about and scattered in public. Thus, the need for a more robust waste management strategy is essential. Presently, waste management techniques either lack efficiency, or incur high costs. Several Governmental as well as Non-Governmental Organizations have made efforts to clean public spaces. Collection of the unorganized and scattered garbage is the preliminary and most vital step of waste management, following proper segregation and disposal. This paper proposes, explains, and implements an original concept of making a modular, scalable and cost effective system for garbage collection. Making an efficient use of Internet of Things to maintain a constant connection between a central server and a network of garbage processing and collecting, independent, autonomous robots, we rely upon such a system to produce accurate results, as well as considerably reduce the cost, hence providing a feasible solution to minimize human effort and costs during waste collection. It provides a gateway towards implementing garbage collecting robots in smart cities. Rather than describing the design of a single robot, we propose an entire system of robots interconnected in a network, to optimize time, energy and overall speed. There is always a trade-off between accuracy, efficiency and cost of garbage collection, especially when robots get into the picture. Our purpose is to find the perfect balance between these factors. 11 30 2019 1 8 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3880.119119 https://www.ijitee.org/portfolio-item/A3880119119/ Russian State Social University, Moscow, Russia. Anastasiia Pavlovna Rudnitskaya* Amid the latest economic and political challenges, as a major factor influencing the dynamics of development in countries around the world, the issue of having in place an effective demographic policy is increasingly gaining in strategic significance, especially for the Russian Federation. Relevant today as never before is the need to investigate the area of regulation of processes related to the nation’s population dynamics. Most of the key trends identified by scholars and experts in the literature tend to be expressive of the fact that the serious problem is still there, with very little revealed in the way of positive outcomes from the fulfillment of central tenets of the Concept on Russia’s Demographic Policy through to 2025. The latest dry statistical figures indicate that, even if we are projecting high numbers for the dynamics of natural population increase, the indicator will still have negative values, which means that the only potential factor for the increase is external migration. Of relevance in this respect are the dynamics of migration from Africa and the Middle East to the EU. In the case of Russia, prior to 2014 the bulk of migrants would come in from the former Soviet republics of Central Asia, whilst today it is now Ukraine, which is quite understandable. The paper shares the findings from the authors’ analysis of key indicators for demographic policy in present-day Russia. 11 30 2019 696 699 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3882.119119 https://www.ijitee.org/portfolio-item/A3882119119/ Electronics and communications Engineering with specialization in IoT and sensors, VIT Vellore, Tamil Nadu, India, Ishan Yash* Dr. Hemprasad Yashwant Patil Department of Embedded Technology, School of Electronics Engineering (SENSE), Vellore Institute of Technology, Vellore, India, Dr. Usha Rani Seshasayee Department of Embedded Technology, School of Electronics Engineering (SENSE), Vellore Institute of Technology, Vellore, India, An essential type of TS analysis is classification, which can, for instance, advance energy load forecasting in smart grids by discovering the varieties of electronic gadgets based totally on their strength expenditure profiles recorded by way of computerized sensors. Such applications are very often characterised by using (a) very lengthy TS and (b) extensive TS datasets needing classification. but, current techniques to time series classification (TSC) cannot deal with such facts volumes at desirable accuracy. WEASEL (Word ExtrAction for time SEries cLassification), a novel TSC method which is each rapid and unique. Like different today's TSC techniques, WEASEL modifies time collection into characteristic vectors, the use of a sliding-window approach, which is then surpassed via a device getting to know classifier. Our approach here is the amalgamation of Distance-specific approaches such as DTW alongwith feature-specific approaches namely SAX and WEASEL and hence, this method may be effortlessly prolonged to be used in aggregate with different strategies. specially, we show that once blended with the space measures which include Minkowski distance measures, DTW, SAX and PAA, it outperforms the previously known methods. 11 30 2019 9 17 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3887.119119 https://www.ijitee.org/portfolio-item/A3887119119/ Student of Department of Construction Technology, VTU CPGS RO Kalaburagi, Karnataka, INDIA Pawan S* Maneeth P D Assistant Professor, Department of Construction Technology, VTU CPGS RO Kalaburagi, Karnataka, INDIA. Brijbhushan S Assistant Professor,Department of Construction Technology, VTU CPGS RO Kalaburagi, Karnataka, INDIA. Concrete is the most widely used construction material in civil engineering industry because of its high structural strength and stability. Leaving the waste materials to the environment directly can cause environmental problem. Waste can be used to produce new products or can be used as admixtures so that natural resources are used more efficiently and the environment is protected from waste deposits. Hence the reuse of waste material has been emphasized. The overall performance of reinforced concrete composite material is affected then the individual performance of the concrete itself. This led to the search for new material. In this research the mechanical properties of concrete is studied by replacing cement with GGBS and addition of Alccofine with different weight fractions with respect to cement. The concrete industry is constantly looking for supplementary material with the objective of reducing the solid waste disposal problem. In this paper Alccofine is replaced by cement, the research is carried out by using M50 grade concrete with replacement of 0%,5%,10%,15%,20% Alccofine by cement by keeping GGBS as 30%,constant and is carried out to determine the optimum percentage of replacement at which maximum C S, S Tand also F S is achieved, the properties of the material are analyzed. 11 30 2019 18 27 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3888.119119 https://www.ijitee.org/portfolio-item/A3888119119/ Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia Bambang Leo Handoko* Edwin Hendra Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia Benedikta Anandita Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia Nowadays the awareness of loss from fraud has been shifted from blue collared employee theft to white collared management fraudulent statement. Forensic accounting becomes one of the solutions to detect this fraudulent statement. On the basic of our premise, the purpose of research to explore empirical evidence regarding financial statement fraud detection factors with net worth method as control variable. Our independent variables were debt to equity ratio, change in net assets, and return on asset. The research was quantitatively on food and beverage manufacturing companies listed on the Indonesia Stock Exchange. We use financial statement year end audited from 2013-2017. We used purposive sample, when selecting the samples. Total of 55 company reports samples were used in this research. We analyzed the data using statistical multiple linear regression analysis. We used statistical software to do the regression, in order to answer the research questions and test the hypothesis. Fraudulent reporting fraud was examined using proxies Beneish M-score. After the statistical test, this research concludes that financial distress factor proxy Debt to Equity Ratio (DER) has no significant effect on fraud detection. Other factor that is financial stability was proxies by changes in total assets (ACHANGE), and financial targets in the proxy of Return on Assets (ROA) both have significant impact on the detection of financial statement fraud. 11 30 2019 28 32 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3889.119119 https://www.ijitee.org/portfolio-item/A3889119119/ Professor of “Finance and taxes” department, Doctor of Science in economics, Professor, Tashkent State University of Economics, Tashkent city, Republic of Uzbekistan. Burkhanov Aktam Usmanovich* Akhmedov Farrukh Hurshidovich Associate Professor of Tashkent State University of Economics Tashkent city, Republic of Uzbekistan. Ensuring liquidity and sustainability of commercial banks enables to satisfy the needs for loans extended to individuals and legal entities, as well as to provide continuity of the payments in the economy. In turn, banking liquidity and ensuring solvency are considered to be a crucial precondition for ensuring their financial security. As far as we know in the world practice there is no single approach to the financial security of banks and the system of assessment indicators. Statistic data used in various countries required to the calculation of assessment indicators vary in different countries. This, in turn, does enable to entirely assess the financial security of banks. Methodology of the study was based on modern foreign scientist`s research works. In the article was used indicators coefficients and the data provided from the Central Bank of the Republic of Uzbekistan. In this regard this article is devoted to the research of scientific-theoretical aspect of financial security. In addition, the article specifies the indicators used to assess financial security of commercial banks. The research has been conducted on the case-study of joint-stock commercial bank “Asaka” operating in our republic. Moreover, the article presents assessment of the financial security of “Asaka” JSCB, as well as determines the problems associated with ensuring financial security. In addition, the article contains scientific proposals aimed at eliminating the problems specified above. In terms of the method available, the indicators used for assessing financial security are fit for the enterprises, however, such indicators haven’t been developed for banks. In the method proposed in this article, the indicators used for assessing financial security have been structured in terms of the peculiarities of commercial banks operating in the republic. 11 30 2019 5456 5460 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3894.119119 https://www.ijitee.org/portfolio-item/A3894119119/ Assistant Professor, Department of Mechanical Engineering, Muffakham Jah College of Engineering and Technology, Hyderabad, India. Dr.K.. Hema Latha* Kamran Ahmed Khan B.E of Mechanical Engineering (Production), Department of Mechanical Engineering, Muffakham Jah College of Engineering and Technology, Hyderabad, India. Syed Asim Minhaj B.E of Mechanical Engineering (Production), Department of Mechanical Engineering, Muffakham Jah College of Engineering and Technology, Hyderabad, India. Mohd Shais Khan B.E of Mechanical Engineering (Production), Department of Mechanical Engineering, Muffakham Jah College of Engineering and Technology, Hyderabad, India. The paper handles the fatigue and failing analysis of serial shot-peened leaf springs of cumbersome vehicles emphasizing on the impact of shot peening on fatigue life, coping with automotive leaf springs, the shot peening method turns into an important step in production.In the situation of leaf spring suspensions, however, asystematic research of the effect of shot peening about fatigue life isstill required. Experimental stress-life curves are determined with the aid of the usage of investigating clean specimen subjected to shot peening. those test consequences are as compared to corresponding ones identified from cyclic three-point test on shot peened serial leaf springs in order to show the influence of applied heat treatment and shot peening approach on fatigue existence of high-strength used to get leaf spring manufacturing, reliant on the load level. Analyses are performed to explain the effects resulting from shot peening practice on the surface features of the high-strength spring steel under examination. The evaluation of fatigue results shows that almost no life improvement due to production highlighting the importance for mutual variation in parameters of shot peening and thermal treatment so that there is sufficient progress in life 11 30 2019 1120 1126 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3897.119119 https://www.ijitee.org/portfolio-item/A3897119119/ Professor, Department of Civil Engineering, S R Engineering College, Warangal, Dr.K. Poongodi* Dr.P. Murthi Professor, Department of Civil Engineering, S R Engineering College, Warangal, Dr.R. Gobinath Professor and Head, Department of Civil Engineering, S R Engineering College, Warangal, A. Srinivas Assistant Professor, Department of Civil Engineering, S R Engineering College, Warangal, G. Sangeetha Assistant Professor, Department of Civil Engineering, S R Engineering College, Warangal, The mechanical properties of pavement quality concrete using recycled concrete aggregate (RCA) obtained from the concrete debris as coarse aggregate (CA) are experimentally determined and presented in this paper. M40 grade concrete was tested with conventional granite CA before adding RCA and then CA was replaced by RCA at the rate of 10, 20, 30, 40 and 50%. The concrete was tested in fresh state by slump and compaction factor (CF) value to evaluate variations in workability. The compressive strength and flexural strength of concrete were conducted to ascertain performance in hardened state. The water absorption test was conducted as a part of durability test. The gradual reduction of slump value was noticed after adding RCA as aggregate in concrete. The slump value had been maintained by substituting the superplastizer without varying the w/c ratio. The strength properties were calculated after 3, 7 and 28 days curing. No significant reduction of strength was observed up to the 30% replacement of RCA and the strength was reduced by adding more than 30% of RCA. From the results obtained in this investigation, it was concluded that the RCA could be used up to 40% as CA for pavement quality concrete. 11 30 2019 33 38 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3898.119119 https://www.ijitee.org/portfolio-item/A3898119119/ GITAM Institute of Technology, GITAM (Deemed to be University), Visakhapatnam, India P.Surya Chandra* V. Revathi GITAM Institute of Technology, GITAM (Deemed to be University), Hyderabad, India A. Sireesha GITAM Institute of Technology, GITAM (Deemed to be University), Visakhapatnam, India N. Suresh Kumar GITAM Institute of Technology, GITAM (Deemed to be University), Visakhapatnam, India The hazardous situation such as conflagration makes the humans’ life most inconvenient and risky. It is an unavoidable situation and it is very difficult for humans to face such situations. But mechanical devices can handle such situations without Human intervention. Sometimes it is also difficult to reach fire place at remote location. A robot can easily handle such situations and can efficiently work in hazardous units. The robot can easily reach the places where man cannot reach. In the present paper a fire extinguisher robot is developed to detect fire and the robot smidgens water on flames. The robot is operated and controlled with mobile phone. Dual Tone Multi Frequency tones are produced to control the movement of the robot. In the present work an Arduino UNO microcontroller is interfaced with fire sensors and generates sequence of steps to control robot movements, direction, and pumping of water. The robot movement and other operations are controlled from remote location. 11 30 2019 39 43 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3902.119119 https://www.ijitee.org/portfolio-item/A3902119119/ MJP Rohilkhand University Bareilly, India Mayank Arya Chandra* S S Bedi MJP Rohilkhand University Bareilly, India Shashank Chandra Research Fellow, RAC, DRDO Delhi, India Suhail Javed Quraishi Invertis University, Bareilly, India Phishing is one among the luring procedures used by phishing attackers in the means to abuse the personal details of clients. Phishing is earnest cyber security issue that includes facsimileing legitimate website to apostatize online users so as to purloin their personal information. Phishing can be viewed as special type of classification problem where the classifier is built from substantial number of website's features. It is required to identify the best features for improving classifiers accuracy. This study, highlights on the important features of websites that are used to classify the phishing website and form the legitimate ones by presenting a scheme Decision Tree Least Square Twin Support Vector Machine (DT-LST-SVM) for the classification of phishing website. UCI public domain benchmark website phishing dataset was used to conduct the experiment on the proposed classifier with different kernel function and calculate the classification accuracy of the classifiers. Computational results show that DT-LST-SVM scheme yield the better classification accuracy with phishing websites classification dataset. 11 30 2019 2063 2068 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3905.119119 https://www.ijitee.org/portfolio-item/A3905119119/ Professor, Department of Civil Engineering, CMR Technical Campus, Kandlakoya, Medchal Road, Hyderabad – 501401, Telangana, India. Dr VM Sounthararajan* Dr S. Sivasankar Associate Professor, Department of Civil Engineering, CMR Technical Campus, Kandlakoya, Medchal Road, Hyderabad – 501401, Telangana, India. Mr. S. Dinakaran Assistant Professor, Department of Civil Engineering, Anand Institute of Higher Technology, Chennai, Tamil Nadu, India. Mr. Nabajyoti Modak Assistant Professor, Department of Civil Engineering, Anand Institute of Higher Technology, Chennai, Tamil Nadu, India. Dr R. Gopalakrishnan Professor, Department of Civil Engineering, SRM Easwari Engineering College, , Chennai, TamilNadu, India. This research study has experimentally performed on the compressive strength, split tensile flexural strength and durability test method also emphasized in various mixes of high-performance concrete. The maximum compressive strength of concrete was noted for different curing days, while the addition of fly ash 20% with 15% of slag along with1% of sisal fiber reinforced concrete than compared to Plain Portland cement content up to 100%. Further, increasing the cementitious binder content there is a drastic fall in strength gain was observed than that of other mixes. On the contrary, the best mix was identified that's 10% fly ash along with 15% of slag produced the highest compressive strength, split tensile strength and flexural strength for different days of cured the concrete specimens. Also, the durability test performed as prescribed in ATMC 1202, based on the lab test results, it is concluded that the electrical charge passed over all the concrete specimen at 28 and 56 days presents the lesser values 1000 (coulombs) this is the evidently proved that the high resistance towards the corrosions and drastically reduced the chloride ions permeability except for plain cement concrete. 11 30 2019 44 47 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3909.119119 https://www.ijitee.org/portfolio-item/A3909119119/ Research Schholar, Dept of CSE, Acharya Nagarjuna University, NagarjunaNagar, India. Peruri Venkataanusha* Ch. Anuradha Assistant professor, Dept of CSE, VRSEC, Vijayawada Dr. Patnala S.R. Chandra Murty Research Supervisor,Dept of CSE, Acharya Nagarajuna University. Dr. Surya Kian Chebrolu Associate Professor, Dept of CSE, NRI Institute of technology. Outlier detection is an interesting research area in machine learning. With the recently emergent tools and varied applications, the attention of outlier recognition is growing significantly. Recently, a significant number of outlier detection approaches have been observed and effectively applied in a wide range of fields, comprising medical health, credit card fraud and intrusion detection. They can be utilized for conservative data analysis. However, Outlier recognition aims to discover sequence in data that do not conform to estimated performance. In this paper, we presented a statistical approach called Z-score method for outlier recognition in high-dimensional data. Z-scores is a novel method for deciding distant data based on data positions on charts. The projected method is computationally fast and robust to outliers’ recognition. A comparative Analysis with extant methods is implemented with high dimensional datasets. Exploratory outcomes determines an enhanced accomplishment, efficiency and effectiveness of our projected methods. 11 30 2019 48 53 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3910.119119 https://www.ijitee.org/portfolio-item/A3910119119/ Vellore Institute of Technology , Chennai Campus, Chennai (Tamil Nadu), India. S. Dhanasekar* G. Kanimozhi Vellore Institute of Technology , Chennai Campus, Chennai (Tamil Nadu), India. A. Manivannan Vellore Institute of Technology , Chennai Campus, Chennai (Tamil Nadu), India. In this article, an approach involving diagonal optimal method has been proposed to solve Hexagonal fuzzy assignment problem(HxFAP). To order the hexagonal fuzzy numbers Yager’s Ranking technique is applied. To understand the algorithm two numerical examples are illustrated.Mathematics Subject Classification: 90C08, 90C70, 90B06, 90C29, 90C90. 11 30 2019 54 57 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3912.119119 https://www.ijitee.org/portfolio-item/A3912119119/ Mechanical Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kulim, Kedah, Malaysia. Johan Ihsan Muhamad Safwan Hilmi Student, Bachelor of Engineering Technology in Mechanical Design, Universiti Kuala Lumpur Malaysian Spanish Institute. Kulim Hi-Tech Park, 09000, Kulim, Kedah, Malaysia. Pranesh Krishnan Intelligent Automotive Systems Research Cluster, Electrical Electronic and Automation Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kulim, Kedah. In small and medium enterprise industry the usage of automation machine is not entirely applied in this sector. This is because of the initial cost to setup automation machine is higher than employed a worker to do the task. The main problem by using human workforce is worker need to do the repetitive task every single day. Human incline to start boring also the productivity of the worker is decreasing. By producing this portable Mini CNC Machine, the problem can be solved. This machine is going through the design development process from data comparison to product fabrication. The detailed design development process ensures that the final result of the machine is achieving the objective to reduce and eliminate repetitive task perform by human resources. The machine control by the new concept of the controller with an open-source controller that makes the machine more flexible and easier to handle. The machine is tested the machining tolerance to ensure the machine provides high accuracy result. Although, the machine still limited to perform the heavy-duty process, this machine can help small and medium enterprise industry increasing productivity by eliminating and reducing human error. 11 30 2019 58 62 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3916.119119 https://www.ijitee.org/portfolio-item/A3916119119/ Mechanical Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kulim, Kedah, Malaysia. Johan Ihsan Mahmood* Muhammad Farhan Daud Student, Bachelor of Engineering Technology in Mechanical Design, Universiti Kuala Lumpur Malaysian Spanish Institute. Kulim Hi-Tech Park, 09000, Kulim, Kedah, Malaysia. Pranesh Krishnan Intelligent Automotive Systems Research Cluster, Electrical Electronic and Automation Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kulim, Kedah, Malaysia. There are many types of flood barrier, but commonly used are sandbags as it is the easiest to get as well fixed type of flood barrier. The problem with sandbags and fixed type flood barrier is sandbagged will get messy, and a hassle after the flood water has been receding while fixed type flood barrier only can be used on one side of doorframe. Therefore, this project tries to create a new design that will solve both problems by using Solidworks software. Result of this project showed what the effect on the structure design when the maximum force was applied. Some of parts in the invented flood barrier are working as intended. 11 30 2019 63 67 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3917.119119 https://www.ijitee.org/portfolio-item/A3917119119/ Department of Computer Applications, KIET Group of Institutions, Ghaziabad, India. Arun Kumar Tripathi* Shweta Singh Computer Applications, Vidhya Knowledge park, Meerut, India, To provide uninterrupted communication services the IETF standardized the various communication protocols. Mobile Internet Protocol is first standard protocol and responsible for secure and reliable communication, while the mobile user switches from one geographical area to another. For such a scenario, two or more devices are permissible to exchange information, while one or more devices changing the geographical location. The implementation of mobility management protocols suffers from various challenges, such as, delay to reach data packet to its destined device, load on network, long queuing delays to data packets and it results the time out error and packet loss, reduced throughput etc. To reduce these parametric factors, concept of encryption and proxy are enabled in the proposed simulation scenarios, and new measurement to these parametric values is taken. The comparative performance needs to be measured through OPNET Modeler and results show that the proposed scheme is better than the existing one. 11 30 2019 68 72 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3920.119119 https://www.ijitee.org/portfolio-item/A3920119119/ Department of Civil Engineering, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad. K. Hemalatha* T. Srinivas Department of Civil Engineering, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad. G. Swetha Department of Civil Engineering, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad. V. Haripan Department of Civil Engineering, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad. This paper mainly focuses on determination of particulate matter (PM), carbon dioxide and Carbon monoxide, relative humidity (RH), temperature, volatile organic compounds (VOC) and dew point in eleven most polluted areas in Hyderabad using equipment (3MTM EVM series) environmental monitor. In this paper we represented above parameters in the form of graph using Detection Management software in the duration of readings taken in a day and also we have done mapping using QGIS software. 11 30 2019 73 80 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3923.119119 https://www.ijitee.org/portfolio-item/A3923119119/ Asst Professor, Department of ECE, VNR VJIET, Hyderabad, India. K L V Ramana Kumari Dr M Asha Rani Professor, Department of ECE, JNTUH, Hyderabad, India. Dr N Balaji Professor, Department of ECE, JNTUK, Hyderabad, India. B Niharika Goud* pursuing Masters in VLSI System design, Department of ECE, VNRVJIET, Hyderabad, India. Test structure for Active Neighborhood Pattern Sensitive Fault (ANPSF) in memories with high switching speed is modeled in this paper. Algorithm for ANPSF testing is developed using type-1 neighborhood approach. The type-1 neighborhood, also known as tiling method has one victim and four aggressor cells. It is used to identify the ANPSF effect on base cell by the switching of patterns in the corresponding deleted neighborhood cells. The required test pattern can be generated using a Binary counter, Hamiltonian or Gray pattern generator where the two successive values differ in only one binary digit. The BIST architecture allows to incorporate the hardware required by the user to select the victim and corresponding aggressor cells to test the complete memory. It helps in application of test pattern for the memory circuit under test on user’s choice. The main objective of this model is to develop the architecture for tiling methodology with test pattern generator to detect the transitions in aggressor cells with edge detection technique. The proposed work enables to verify the response of victim cell which may cause a change in value resulting in an active neighborhood pattern sensitive fault scenario. The complete ANPSF model architecture for memory testing is developed using Verilog hardware descriptive language. The process of simulation and synthesis report is validated using Xilinx 14.2 and implemented on Nexys 4 DDR Artix 7 FPGA board. 11 30 2019 81 86 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3924.119119 https://www.ijitee.org/portfolio-item/A3924119119/ Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India. Ashutosh Kumar Dubey* Wireless sensor networks (WSNs) provide an empirical and explorative ways to handle and collection of the data in the centralized way. In this paper an efficient variable distance measure k-means [VDMKM] algorithm for cluster heads (CHs) selection in WSN has been presented and analyzed. This approach is divided into two phases. In the first phase data preprocessing has been performed. In this phase size-based weight and threshold assignment have been done on the scaling factor of 1-10. In the second phase VDMKM approach has been applied. The main benefit of this approach is the capability of smaller distance assignments automatically based on different distance measures. The distance measures used here are Euclidean, Pearson coefficient and Manhattan correlation. The complete cluster correlated delay has been calculated along with the packet delivery time. Our distance measure based automatic distance adjustment approach provides better suited distance-based packet delivery in less time. The results are more prominent in the case of Euclidean and Manhattan. 11 30 2019 87 92 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3925.119119 https://www.ijitee.org/portfolio-item/A3925119119/ Scholar in School of Information Technology in VIT University Vellore , TamilNadu, India. K. Arun Kumar* J. Karthikeyan Assistant Professor in School of Information Technology and Engineering in VIT University,Vellore , TamilNadu, India A comparative research includes a protocol comparison based on certain parameters of performance. It allows researchers to gain insight into the different appropriate parameters with the protocols which ultimately lead to further advancement in the field. In the wireless sensor networks sector, improvements are taking place day after day. PEGASIS is a bond-oriented protocol for WSN routing. Some significant protocols based on PEGASIS architecture are studied in this document; PEGASIS, EEPB, IEEPB, PDCH, PEG-Ant, PEGASIS-PBCA, PEGASIS-IBCA, MH-PEGASIS, Multi-bond PEGASIS and Modified-PEGASIS are explored and comparison is made based on parameters that are essential to consider when selecting methodology for a specific implementation of WSNs. 11 30 2019 93 97 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3927.119119 https://www.ijitee.org/portfolio-item/A3927119119/ Department of Computer Science, Information Technology College, Hadramout University, Hadramout, Yemen. Wafa Zubair Al-Dyani Farzana Kabir Ahmad* School of Computing, Universiti Utara Malaysia, Sintok, Kedah, Malaysia. Siti Sakira Kamaruddin School of Computing, Universiti Utara Malaysia, Sintok, Kedah, Malaysia. Event detection has wide application especially in the area of news streams analyzing where there is a need to monitor what events are emerging and affecting people’s lives. This is crucial for public administrations and policy makers to learn from their previous mistakes to make better decisions in the future. Different researchers have introduced several event detection models for Facebook news posts in. However, majority of these models have not provided adequate information about the discovered news events such as location, people and activity. In addition, existing models have ignored the problem of high dimensional feature space which affects the overall detection performance of the models. This research presents a conceptual event detection model for mining events from large volume of short text Facebook news posts and summarize their valuable information. This is crucial for public administrations and policy makers to learn from their previous mistakes to make better decisions in the future. The proposed model includes pre-processing, feature selection, event detection and summarization phases. The pre-processing phase involves several steps to convert unstructured text news posts into structure data. Feature selection phase to select the optimal feature subset. Meanwhile, event detection phase uses these features to construct undirected weighted graph and apply dynamic graph technique to identify the clusters from the graph and then annotate each cluster to its corresponding event. At the end of this paper, several unresolved problems in the construction of event detection model from Facebook news posts are reported to be used as future work for the current study. 11 30 2019 98 102 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3930.119119 https://www.ijitee.org/portfolio-item/A3930119119/ Department of Civil Engineering, MNNIT Allahabad, Prayagraj, India. Deep Tripathi* Rakesh Kumar Department of Civil Engineering, MNNIT Allahabad, Prayagraj, India. P. K. Mehta Department of Civil Engineering, MNNIT Allahabad, Prayagraj, India. Amrendra Singh Department of Civil Engineering, MNNIT Allahabad, Prayagraj, India. Self Compacting Concrete (SCC) is a high performance concrete and is becoming popular day by day in the field of construction. Generally, the quantity of binder is more in SCC than the normal concrete. The application of pozzolanic material is found successful in such type of concrete. Generally, Ordinary Portland Cement (OPC) is replaced with Fly Ash (FA). In this paper, the results of an experimental programme to evaluate the performance of SCC are presented and optimum dose of binary admixture was found. For the determination of the optimum dose, concrete cubes of 100mm sizes were cast. The replacement level of OPC by FA was varied as- 5, 10, 15 and 20%, by mass. The OPC was also replaced separately by Metakaolin (MK) - 5, 10, 15 and 20%, by mass. Further, the OPC was replaced by the binary admixture (FA+MK). The workability and strength of SCC of grade M25 (Referral concrete- RC) and the concrete using the binary admixtures were studied. All SCC mixes were tested for workability as recommended by EFNARC i.e. Slump flow, T50 time flow, V-funnel, L-box, U-box and J-ring. The workability of SCC mix increases with FA and decreases gradually as MK content is increased. The optimum replacement level of OPC by binary admixture is 25% (FA-15% + MK-10%) with respect to compressive strength. The water absorption of cubes was also examined. It is concluded that a high strength and economical SCC could be developed by incorporation of FA and MK. 11 30 2019 103 108 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3932.119119 https://www.ijitee.org/portfolio-item/A3932119119/ Dept. of Mechanical Engineering, Chandigarh University, Chandigarh, India. Harjinder Singh* Dr.Harjot Gill Dept. of Mechatronics Engineering, Chandigarh University A tremendous research has been notices in the field of three dimensional printing. An experimental study has been carried out for three dimensional printing to analyses the surface roughness and ultimate tensile strength of three different materials. The study has been conducted using Taguchi design of experiment. from the study it has been depicted that the infill percentage has a significant effect on the output. 11 30 2019 959 962 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3934.119119 https://www.ijitee.org/portfolio-item/A3934119119/ Assistant Professor (Sg), Department Of Computer Science And Engineering, Saveetha School Of Engineering, Simats, Chennai, India A. Rama* A. Gayathri Associate Professor, Department Of Computer Science And Engineering, Saveetha School Of Engineering, Simats, Chennai, India S. Christy Assistant Professor (Sg), Department Of Information Technology,Saveetha School Of Engineering, Simats, Chennai, India E. coli is the first organisms to be sequenced as genome and the classification within the DEC pathotypes has epidemiologic and clinical implications for managing diarrheal diseases. In many developing countries E.coli leads to cause of diarrhea in children. where the mode of transmissions takes place via food and water. based on their pathogenic phenotype and diseases they cause it can be classified into 6 groups. consequently, our awareness of the spectrum of diseases and syndromes that they cause is quite limited. Also, because we cannot readily identify infected patients, there are many complexities in defining the modes of attainment, prevention and treatment strategies, and estimating the burden of infectious squealed. These infections create many challenges, and no progress will take place until the diagnostic potential for these agents got improved. Identifying E. coli isolate co-express LA reiterates the difficulty of assigning bacteria to groups on the basis of their adherence phenotype or genotype. Therefore the analysis of E -coli with molecular methods demonstrates that strains carry will represent more characteristics of typical EPEC and also the lack of AggR regulon, we propose a novel classification approach for classifying E-coli therefore to recognize pathogens. In addition, the ability to simultaneously induce attaching effacing lesions and biofilm production may enhance the potential of the strains to cause diarrhea and prolong bacterial residence in the intestines, thus worsening malnutrition in the patients. 11 30 2019 109 113 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.3936.119119 https://www.ijitee.org/portfolio-item/A3936119119/ Professor, Department of CSE, Raghu Engineering College(A), Visakhapatnam, INDIA. Dr. G. Jose Moses* Dr. N. Supriya Assoc. Professor Department of CSE, Raghu Institute of Technology(A), Visakhapatnam, INDIA. We present a novel approach multicast routing protocol using Ant Colony Optimization and Cross Layer Technique. This protocol is an enhancement of the existing on-demand multicast routing protocol (ODMRP). Establishing communication through portable devices without any central infrastructure is possible in Ad-hoc networks. This feature of the absence of a central infrastructure and the random mobility of the devices give rise to multiple problems involving in security and routing. The challenges encountered by these multicast routing protocols are to provide a secured and efficient routing in these networks. In this paper we intend to present a novel approach of on-demand multicast routing protocol using Ant Colony Optimization and Cross Layer Technique. With this enhanced feature of cross layer technique and by applying ant colony optimization the proposed protocol performs more efficient with minimal overhead. The performance levels of the proposed algorithm at higher traffic load in comparison to the existing algorithms are evident from the simulations performed using NS-2. 11 30 2019 1050 1054 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3941.119119 https://www.ijitee.org/portfolio-item/A3941119119/ Department of Biotechnology, Meerut Institute of Engineering and Technology, Meerut, Uttar Pradesh, India. Surya Prakash DV* Meena Vangalapati Centre for Biotechnology, Department of Chemical Engineering, Andhra University, Visakhapatnam- 530003, Andhra Pradesh, India, T. Mohammad Munawar Department of Biological and Chemical Engineering, Mekelle Institute of Technology (MIT), Mekelle University, Mekelle Medicinal plants are the most essential wellsprings of medication or life sparing medications for most of the World& #39;s populace for a huge number of years. Many plant species are used to treat the cancer diseases. The ethanolic extract of composite medicinal herbs fruits of Terminalia chebula, Phyllanthus emblica and seeds of Dimocarpus longan are used as a potent natural source of anticancer agent. The colorectal cancer cell lines (Caco-2) are inhibited by ethanolic extract through MTT assay method. The percentage of Caco-2 colorectal cancer cell growth inhibition was increased from 1.5% to 62.9%. 11 30 2019 700 706 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3942.119119 https://www.ijitee.org/portfolio-item/A3942119119/ Management and Marketing Department, Tashkent University of Information Technologies named after Mukhammad al-Khwarizmi, Tashkent, Uzbekistan. Maftuna Kurbanova* Feruza Atavullaeva Economics and Management in ICT sphere, Tashkent University of Information Technologies named after Mukhammad al-Khwarizmi, Tashkent, Uzbekistan. The article is devoted to the discussion of recent trends and reformation in digital economy and banking system in Uzbekistan. The object of the research is the PJSCB “RAVNAQ-BANK”, while implementing and developing of digital economy in the financial sector of the Republic of Uzbekistan is the subject of this article. The actuality of the research consists of increasing the number of scholars who are interested in how to develop digital economy in several developing countries and by this to achieve economic effectiveness in both the scope of country and company. For example, regardless of the reformations and development in this sphere, there is a row of problems unsolved. Nowadays, population seems not to be satisfied with the supply of banking services; hence the number of complaints on the work of service providers is increasing. Besides, the problems in the sphere of banking services also arise from the lack of the mechanism of monthly taking measurements from the counters and the absence of central database of consumers. The analysis of the main approaches determining the contribution of digital economy to the banking sphere, formulation of recommendations relating to the prior directions to achieve the step-by-step digital transformation of the sphere of banking make up the scientific novelty of the research. The research consists of four parts. Firstly, the role of digital economy in the banking sphere is explored. Secondly, the application of mobile system to the banking services is investigated. Thirdly, reformation processes of digital economy by developing banking system of PJSCB “RAVNAQ-BANK” are examined. Lastly, introduction of digital economy to the sphere of banking and banking services for integration with e-government are discussed. 11 30 2019 114 125 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3945.119119 https://www.ijitee.org/portfolio-item/A3945119119/ Assistant Professor in Department of Automobile Engineering, Kongu Engineering College, Anna University, Tamilnadu, India. Sathiskumar S* Dhavaneeswaran N Student of Bachelor of Automobile Engineering, Kongu Engineering College, Anna University, Tamilnadu, India. Dhanush Guru Student of Bachelor of Automobile Engineering, Kongu Engineering College, Anna University, Tamilnadu, India. This experimental research evaluate the performance and emission characteristics of a single cylinder 4 – stroke multi-fuel VCR engine, we obtained gel from the aloe vera as the raw material for biodiesel production in the transesterification process. We blended the obtained biodiesel in various ratios with the diesel and it was named B10, B20, and B30. The properties of the biodiesel were tested before it was used as a fuel. The performance and emission testing were done in a single cylinder 4 – stroke multi-fuel VCR engine with an eddy current dynamometer. The biodiesel played a major role in reducing hydrocarbon and carbon monoxide emissions. But it resulted in certain disadvantages of using aloe vera biodiesel in CI engines i.e., it emits more nitrous oxide than diesel and also it has more fuel consumption. To eliminate these drawbacks, aluminum oxide (Al2O3) was used as a nano additive. Based on the performance and emission results obtained, we chose the best blend using a design optimization software called "design expert". The performance and emission results were used in the software which will offer comparative tests, screening, and optimization to choose the best biodiesel blend. B20 was chosen as the best blend and aluminum oxide nano additive was used in two percentages as 50 ppm and 100 ppm with the B20 blend. These nanoparticles added to the biodiesel reduced the ignition delay during the combustion process which resulted in improved thermal efficiency, brake specific fuel consumption and reduction in nitrogen oxide emissions to meet the objectives of this research. 11 30 2019 126 133 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3946.119119 https://www.ijitee.org/portfolio-item/A3946119119/ Department of Computer, Korea University, Seoul, Korea. Neunghoe Kim* Low quality requirements contribute to many problems throughout the software development life cycle. For this reason, requirements validation step, a last step of the requirements development, is a very important activity for finding potential problems of requirements and preventing failures. However, in practice, there are a lot of cases that omitted or simply processed. It causes scheduling delays and over-costs, and result in fail in software project. In the requirement validation step, the various aspects of the specific requirements are reviewed, and the one important factor is "Are the functions the user wants included in the specification?" at that time. This can be verified by the opinions of a lot of various users, and the appropriate method is the method to use social network services where users freely post and share their opinions. Interviews, questionnaires that are methods to identify user needs for a long time required a lot of time and costs, but, contrary to that, the identifying user needs through social network services have a characteristics that can identify the needs of a large number of different people at a relatively low cost and time. Therefore, this paper suggested a systematic method of requirements validation using social network services that can identify the needs of a large number of and various users with low cost and time relatively. It is available to check whether the functions desired by user are included in the software requirement specification correctly through this method and, also, prevent the problems caused by low quality requirement. 11 30 2019 134 136 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3953.119119 https://www.ijitee.org/portfolio-item/A3953119119/ School of Electronics and Telecommunication, Maharashtra Institute of Technology World Peace University (MIT-WPU), Pune, India Dipti Khairkar* Mrunal N Annadate School of Electronics and Telecommunication, Maharashtra Institute of Technology World Peace University (MIT-WPU), Pune, India. Total blood volume (TBV) analysis is key to manage the patients with cardiopulmonary bypass (CPB) cardiac surgery. Circulation of blood volume (CBV) is essential because the processes that maintain the connection between red cell volume (RCV), plasma volume (PV) and CBV may not be measured. The differences in significant surgery in patients do not always work efficiently and changes in CBV and need intensive care. The visible physiological clinical shock require urgent methods to regulate CBV because the current method is complicated and involves intervention. The current approaches to estimating blood quantity are labor-intensive, complex, and time-consuming. Severe depletion of quantity leads to selective vasoconstriction masking. Last decade, science has introduced different techniques for estimating blood quantity. So the scheme that can offer a precise assessment of blood quantity in the human body needs to be implemented. In this paper, a system is proposed where color flow imaging is used to measure TBV and CBV. The videos used are Doppler 2d echocardiogram which shows the color Doppler flow in the heart. The method used in this paper can be an alternative to the present methods of calculating the TBV and CBV as it is easy to measure the parameters with the help of Doppler velocity. 11 30 2019 137 141 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3954.119119 https://www.ijitee.org/portfolio-item/A3954119119/ Senior Lecturer, Post Graduate Centre, Limkokwing University of Creative Technology, Selangor, Malaysia. Sara Ravan Ramzani Imran Ahmed Shahzad* PhD Candidate, Post Graduate Centre, Limkokwing University of Creative Technology, Selangor, Malaysia. Wang ChenXi PhD Candidate, Post Graduate Centre, Limkokwing University of Creative Technology, Selangor, Malaysia.’ The purpose of this study was to examine the relationship between organizational culture and supply chain performance. Data were collected with the help of structured questionnaire and then analyzed with the help of PLS SEM technique. The Results showed that there is a positive and significant impact of organization culture on supply chain performance. Study is useful for both the future researchers and practioners as it highlighted the newly adopted methodology in the area of supply chain management in specific while logistics in general and insight out that the cultural impact is significant while going to green supply chain paradigm. 11 30 2019 142 148 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3955.119119 https://www.ijitee.org/portfolio-item/A3955119119/ Department of Computer Engineering, Jamia Millia Islamia, New Delhi, India. Faiyaz Ahmad* Sahil Department of Computer Engineering, Jamia Millia Islamia, New Delhi, India. In this work, the objective is to classify the audio data into specific genres from GTZAN dataset which contain about 10 genres. First, it perform the audio splitting to make it signal into clips which contains homogeneous content. Short-term Fourier Transform (STFT), Mel-spectrogram and Mel-frequency cepstrum coefficient (MFCC) are the most common feature extraction technique and each feature extraction technique has been successful in their own various audio applications. Then, these feature extractions of the audio fed to the Convolution Neural Network (CNN) model and VGG16 Neural Network model, which consist of 16 convolution layers network. We perform different feature extraction with different CNN and VGG16 model with or without different Recurrent Neural Network (RNN) and evaluated performance measure. In this model, it has achieved overall accuracy 95.5\% for this task. 11 30 2019 149 154 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3956.119119 https://www.ijitee.org/portfolio-item/A3956119119/ Department of Mechanical engineering, National Institute of Technical Teachers Training and Research, Chandigarh, India Anil Kumar* Deepam Goyal Department of Mechanical engineering, National Institute of Technical Teachers Training and Research, Chandigarh, India B.S. Pabla Department of Mechanical engineering, National Institute of Technical Teachers Training and Research, Chandigarh, India Condition monitoring and fault diagnosis of working machines have gained significant attention due to their prospective benefits, such as enhanced productivity, decreased repair and maintenance costs and enhanced machine operation. In this paper, a thermal image based non-contact methodology has been proposed to diagnose the gear faults using support vector machines (SVM). The thermal images acquired from gearbox simulator were preprocessed using 2D-discrete wavelet transform to decompose the thermal images. The relevant features were extracted from converted thermal gray-scaled images followed by selecting the strongest feature using Mahalanobis distance criteria. Finally, the selected features were given to a SVM classifier for classifying the different gear faults. The experimental findings indicate that fault diagnosis using thermography for rotary machinery can be put into practice to industrial fields as a new smart fault diagnostic method with excellent prediction performance. 11 30 2019 155 160 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3957.119119 https://www.ijitee.org/portfolio-item/A3957119119/ Research Scholar , Assistant Professor, Department of Computer Science and Engineering, REVA University, Bangalore, India. Archana Bhaskar* Dr. Rajeev Ranjan Associate Professor, Department of Computer Science, Indian Institute of Information Technology-Allahabad, REVA University, Bangalore, India. Usage of high-performance computing (HPC) infrastructure adopting cloud-computing environment offers an efficient solution for executing data intensive application. MapReduce (MR) is the favored high performance parallel computing framework used in BigData study, scientific, and data intensive applications. Hadoop is one of the significantly used MR based parallel computing framework by various organization as it is freely available open source framework from Apache foundation. The existing Hadoop MapReduce (HMR) based makespan model incurs memory and I/O overhead. Thus, affecting makespan performance. For overcoming research issues and challenges, this manuscript presented an efficient parallel HMR (PHMR) makespan model. The PHMR includes a parallel execution scheme in virtual computing worker to reduce makespan times using cloud computing framework. The PHMR model provides efficient memory management design within the virtual computing workers to minimize memory allocation and transmission overheads. For evaluating performance of PHMR of over existing model experiment are conducted on public cloud environment using Azure HDInsight cloud platform. Different application such as bioinformatics, tex mining, stream, and non-stream application is considered. The overall result obtained shows superior performance is attained by PHMR over existing model in term of makespan time reduction and correlation among practical and theoretical makespan values. 11 30 2019 161 168 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3958.119119 https://www.ijitee.org/portfolio-item/A3958119119/ Principal technical Officer with Centre for Development of Advanced computing (CDAC), Bangalore - India. Abey Jacob* Dr. V cyril raj Join Registrar (E&T) at Dr.M.G.R University, Chennai - India. This paper describes the testing process employed for testing the in-house developed cloud by using the Google open source tool PerfKit and employing techniques for increasing the performance. Though new tools for testing cloud are emerging into the market, there are aspects which are suited for manual testing and some which can be speeded up using automatic testing tools for various cloud environments for Infrastructure, Platform and Software services. This paper brings out the techniques best suited to test different features of Cloud computing environment and to figure out the lacuna in performance of cloud services. The authors also try to bring out solutions to improve the performance of cloud (recommend) by using various tools to figure out the debugging and analysis process guidelines to follow while fine tuning the performance of private clouds. 11 30 2019 1400 1405 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3959.119119 https://www.ijitee.org/portfolio-item/A3959119119/ Design Engineering, Dr. D Y Patil School of engineering, Pune, India. Mahesh B. Mane* Dr. F B Sayyad Mechanical Engineering, Dr. D Y Patil School of engineering, Pune, India. Dr. Mohd Imran Ansari Mechanical Engineering, Dr. D Y Patil School of engineering, Pune, India. Most of the chemical industries are used with Polyurethane (PU) coated steel sample which is found that some chemical reaction and rusted in acidic bath solution becomes a problem in industry. For such problems composite materials can be of good solution which does not possess any reaction with working fluids (acids in our case). With composites there is complexity of manufacturing and high cost involvement, so as to avoid those simplified approach is used to get Flat plates made of Glass fiber reinforced in epoxy which is best solution for any acidic bath as it possesses high resistance to any reaction with itself. Glass fiber plates are cut into the size of dimension and with the help of adhesives joint the WFJ of I-Beam, there are two different types of adhesives used, araldite 2015 and Hundsman araldite are used. The hundsman araldite is found to get better performance of Web-Flange junction (WFJ) joint. Finite element analysis (FEA) is used to get initial validation and further it’s observed that Hundsman araldite failure strength on the web-flange junction is better. Also, additional cleat used with 4 mm, 12 mm for increasing the Web-Flange junction (WFJ) area to improve the Load carrying capacity of the Beam. The experimental analysis results clearly indicate that the emersion of the reinforced epoxy glass-fiber in the acidic bath solution for a certain period, there is no any reaction formed in the acidic bath and improved the behavior of the specimen. Results from FEA and experimental test have shown good correlations are obtained with improvement of failure strength on WFJ. 11 30 2019 2373 2380 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3967.119119 https://www.ijitee.org/portfolio-item/A3967119119/ School of Computer Science, University of Petroleum & Energy Studies, Dehradun, India. Rishabh Jain* Satyam Gupta School of Computer Science, University of Petroleum & Energy Studies, Dehradun, India. Shahzeb Rizvi School of Computer Science, University of Petroleum & Energy Studies, Dehradun, India. Nitin Arora School of Computer Science, University of Petroleum & Energy Studies, Dehradun, India Every country has their own native languages such France has French, Japan has Japanese, India has Hindi and other local languages like Gujrati, Marathi, Telugu, Tamil, Bengali, etc. When a person who does not know the English Language travel to a country whose local language is English will face many problems like understanding road sign texts, shop’s name, Instructions Boards etc. So, in this paper we are proposing a model with the help of which user can take snap of the scene containing text of which he/she want to translate it, upload that photo, choose the language and the software will provide us the output in text of User’s native language. This model will use Convolutional Neural Network (CNN) to identify the characters, Efficient and Accurate Scene Text Detector (EAST) for detecting the text in the image, Digital Image Processing methods are used to segment the text in the detected text, googletrans for translating the text to other language and Tkinter for creating Graphical user Interface (GUI) for software. 11 30 2019 169 173 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3969.119119 https://www.ijitee.org/portfolio-item/A3969119119/ pursuing Ph. D from Dr. A.P.J. Abdul Kalam Technical University, Lucknow, India. Rajiv Banerjee* Dr. J. B. Srivastava Professor in Institute of Engineering and Technology, Lucknow, India. Stiffness is the property of the structure that is responsible for absorbing the external forces. For the case a multistory building, when the height of the building increases, the lateral stiffness of the building decreases. With low lateral stiffness, the building becomes more vulnerable to lateral forces like wind and earthquake. In order to prevent the structure from damage from the lateral forces, lateral stiffness is induced in the structure by means of shear walls. With the introduction of shear wall, we observe a considerable decrement in lateral displacement and increase in base shear. The resistance of lateral forces in terms of magnitude by shear wall depends on its location in the building. In this paper, a G+15 storey building is considered. The building is irregular in nature (T shaped). A comparative study is done to obtain the optimum position of shear wall in the structure. For optimization, the total length of the shear wall in the structure is kept constant. The whole modeling and analysis is done by ETABS v. 2016. The comparative study is done on the basis of base shear, storey displacement & storey drift. The above values are calculated by the dynamic approach of analysis of building subjected to seismic loading. 11 30 2019 174 183 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3970.119119 https://www.ijitee.org/portfolio-item/A3970119119/ Shakarim State University of Semey, Semey, Kazakhstan Farida Smolnikova* Zhayik Tokhtarov Shakarim State University of Semey, Semey, Kazakhstan Nadezhda Kenijz Kuban State Agrarian University, Krasnodar, Russian Federation Elena Nelyubina K.G. Razumovsky Moscow State University of technologies and management (the First Cossack University), Moscow, Russia Igor Grigoryants K.G. Razumovsky Moscow State University of technologies and management (the First Cossack University), Moscow, Russia Elena Bobkova K.G. Razumovsky Moscow State University of technologies and management (the First Cossack University), Moscow, Russia Olga Orlovtseva K.G. Razumovsky Moscow State University of technologies and management (the First Cossack University), Moscow, Russia Alla Konobeeva K.G. Razumovsky Moscow State University of technologies and management (the First Cossack University), Moscow, Russia Natalia Nikolaeva K.G. Razumovsky Moscow State University of technologies and management (the First Cossack University), Moscow, Russia Germination of wheat grain promotes the transition of hardly digestible nutrients into an easily accessible form with increasing the amount of vitamins and minerals. This paper presents the technological process of wheat grain germination under the water tincture of aloe. The germinating power and ability of wheat grain grown in 25% solution of water tincture of aloe are 95% and 95%, respectively. The analysis of the data shows that the amount of all nutrients decreases, since the destruction of the protein-carbohydrate complex. The activity of enzymes increases, and the cellular destruction of the endosperm occurs. Carbohydrates reduction is associated with intensive grain respiration. Germination is also associated with a decrease in fat from 2.45% to 1.25%. 11 30 2019 184 187 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3974.119119 https://www.ijitee.org/portfolio-item/A3974119119/ Department of ECE , Sri Siddhartha Institute of Technology, Tumakuru, Karnataka, India. Savitha C* Dr. D. Ramesh Department of CSE, Sri Siddhartha Institute of Technology, Tumakuru, Karnataka, India. The complications of abnormal behavior and behavior identification are very eminent problems in the video processing. Abnormal behavior detector can be designed by choosing the region of interest through feature detector and by tracking them over the short time period. Therefore, the detector shows the trade-off among the object tracking and optical flow. Since, various regions normally display the various types of motion pattern, we introduce Distribution Based Crowd Abnormality Detection (DCAD) which catches the statistics of object trajectories which are passing via the Spatio-temporal cube. This technique directly provides the distribution to define the frame. Also clustering is not required to build the dictionary. Besides, we exploited the motion trajectories to calculate the “power potentials” in the pixel space which defines the amount of interaction among the people. Furthermore, utilize the standard method for classification by considering SVMs (Support Vector Machines) discriminative learning method to recognize the abnormalities. 11 30 2019 188 195 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3977.119119 https://www.ijitee.org/portfolio-item/A3977119119/ Dept.of ECE, Andhra University College of Engineering, Andhra University, Visakhapatnam, India. Babji Prasad Chapa* Sasibhushana Rao Gottapu Dept.of ECE, Andhra University College of Engineering, Andhra University, Visakhapatnam, India. Suresh Dannana Dept.of ECE, Andhra University College of Engineering, GMR Institute of Technology, Rajam, India. With the rapid and continuous growth of mobile users and services across the world, 5G is anticipated to be the next step in the development of the cellular network. The conceptualized architecture for 5G uses a dynamic spectrum sharing (DSS) approach to include a common spectrum resources that is shared by a multitude of varied network entities and systems. While this proposed solution would vitally enhance the entire efficiency of spectrum. In this situation, the unique function of spectrum sensing (SS) that belongs to the cognitive radio (CR) paradigm is recently being introduced as one of the primary facilitators for effective DSS with less interference. The dissemination of the testing criteria for the detection problem is examined in this paper to get the precise formulas for probability false alarm (Pf) and detection probability (Pd). The performance of the covariance detector can be evaluated by using pd and pf expressions. Finally, theoretical Pd, Pf expressions are verified with simulations. 11 30 2019 196 200 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3978.119119 https://www.ijitee.org/portfolio-item/A3978119119/ Research Scholar, Department of Journalism & Mass Communication, Punjabi University, Patiala, India. Jasdeep Kaur* SOS children’s village helps to enlarge their children’s individual abilities, interests, recognition and talents. The aim of SOS village is to focus on the provision of quality care to children in villages and to prevent abandonment of children in the community. Under its roof, children enjoy a real sense of security and belonging and use all the facilities provided by SOS Children’s Villages such as food, shelter, clothing, health services and media needs television, newspapers, radio, internet and computer lab etc. In every house one newspaper, one television is available for SOS children and mobile phone for those children who are studying in under- graduation and post- graduation courses. Here, we can say that the journey of mankind started expansion of vocal chords, development of spoken language and then the written language. Finally, when we experimented with printing machines, we set ourselves on the path of progress through mass media. Eventually we got audio – visual expression of our ideas and thoughts through electronic media. Today we are in the midst of new media which has led us to the virtual space. This study is an attempt to understand and explain how the personality development programs and vocational training courses along with the media exposure have been contributing in their capacity building. 11 30 2019 201 211 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3981.119119 https://www.ijitee.org/portfolio-item/A3981119119/ Dept. Of Information Science and Engineering, PDA College of Engineering, Kalaburgi, Karnataka, India. Vishwanath.C. Burkapalli* Priyadarshini.C. Patil Dept. Of Computer Science and Engineering, PDA College of Engineering, Kalaburgi, Karnataka, India. The recognition of Indian food can be considered as a fine-grained visual recognition due to the same class photos may provide considerable amount of variability. Thus, an effective segmentation and classification method is needed to provide refined analysis. While only consideration of CNN may cause limitation through the absence of constraints such as shape and edge that causes output of segmentation to be rough on their edges. In order overcome this difficulty, a post-processing step is required; in this paper we proposed an EA based DCNNs model for effective segmentation. The EA is directly formulated with the DCNNs approach, which allows training step to get beneficial from both the approaches for spatial data relationship. The EA will help to get better-refined output after receiving the features from powerful DCNNs. The EA-DCNN training model contains convolution, rectified linear unit and pooling that is much relevant and practical to get optimize segmentation of food image. In order to evaluate the performance of our proposed model we will compare with the ground-truth data at several validation parameters. 11 30 2019 212 218 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3982.119119 https://www.ijitee.org/portfolio-item/A3982119119/ Associate Professor, Department of Management Studies, Aurora’s PG College, Hyderabad, India. Dr. Arokiaraj David* Dr. Kattepogu Nagarjuna Associate Professor, Department of Management Studies, Newton’s Institute of Engineering, Macherla, Dr. Moiz Mohammed Post-Doctoral Fellow, Department of Business Management, Osmania University. Dr. Jegadesan Sundar Associate Professor & HOD, Department of Management Studies, Megha Institute of Engineering and Technology for Women, The main aim of this study is to find out the demographic variables and their driving factors influencing the environmental responsibility of passenger car users. There are around 73.85 million passenger car was produced (OICA, 2018), and it is forecasted that 2 billion of car expected on the road before the end of 2040. Vehicles are the primary generator of emission per liter of fuel exhausts around 140-210 Co2/km released in the air. The people who are using the vehicles are to be held responsible for the vulnerability which is resulted because of emission from the tailpipe. According to the Japan Automobile Manufacturer Association (JAMA), 80% of tailpipe emission was released by the vehicle users and the remaining 20% by the vehicle manufacturers. Therefore this paper understands the factors influencing the environmental responsibility of the passenger car users. 11 30 2019 219 224 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3986.119119 https://www.ijitee.org/portfolio-item/A3986119119/ Associate Professor, Department of Management Studies, Ramaiah Institute of Technology, Bangalore, Karnataka, T. Mohanasundaram P. Karthikeyan* Assistant Professor (Sr. Grade), School of Management Studies, Kongu Engineering College, Perundurai, Erode, Tamilnadu, V. Krishnamoorthy Assistant Professor, School of Management Studies, Kongu Engineering College, Perundurai, Erode, Tamilnadu, This research paper examined whether modern banks viz., foreign origin banks in India and the Indian new generation private banks outperform the conventional banks viz., public sector banks and old generation private banks. The modern banks are technology driven and have a upper hand in offering ancillary services vis-à-vis traditional banks. The study explores theperformance of different banking groups by analysing the interconnections among asset quality, financial soundness, profitability and credit growth of different bank groups in India since 2005 to 2018. Asset quality signifies an important role in the financial health of the banks. Reserve Bank of India (RBI) levied severe asset quality measures on banks operating in India during 2015-16.This unfolds the long hidden financial miseries. The regulators and central banks across the world worked persistently towards enhancing the banks’ ability to observe the inherent and external risks. As a result of this, stringent capital norms based on risk-weighted classification of assets were implemented to ensure financial soundness of the banks. These two policy measures brought a drastic changes in the Indian banking sphere. These changes perhaps lead to interesting research questions viz., do they affect profitability and credit growth of the banks? We addressed this research question through empirical analysis. Further, to identify whether the technology-based modern banks performs better in comparison to traditional banks, the paper measures the effect of these norms on different bank groups viz., public sector banks, private old sector banks, private new generation banks and banks from foreign origin by drawing comparisons between pre-implementation period and post-implementation period of these norms. The study comprised all banks in different banking groups which were operating since 2005. The data were collected from CMIE prowess IQ and various Reserve Bank (RBI) reports. The study outcome is expected to disclose possible nexus among the chosen variables with reference to different bank groups and also reveals whether modern banks better than traditional banks. 11 30 2019 1055 1063 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3987.119119 https://www.ijitee.org/portfolio-item/A3987119119/ Assistant Professor, Computer Science And Engineering Department, in SRM Institute of Science and Technology, Ramapuram, Chennai, India. Sahaya Sakila* Sanyam Garg Pre-Final Year Student of B.Tech Computer Science And Engineering in SRM Institute of Science and Technology, Ramapuram, Chennai, India. Tanay Yeole Pre-Final Year Student of B.Tech Computer Science And Engineering in SRM Institute of Science and Technology, Ramapuram, Chennai, India. Hrithik Yadav Pre-Final Year Student of B.Tech Computer Science And Engineering in SRM Institute of Science and Technology, Ramapuram, Chennai, India. Seismic tremors everywhere throughout the globe have been a noteworthy reason for decimation and death toll and property. The following context expects to recognize earthquakes at a beginning time utilizing AI. This will help individuals and salvage groups to make their errand simpler. The information in this manner comprises of these seismic acoustic signals and the time of failure. The model is then prepared utilizing the CatBoost model and the utilization of Support Vector Machines. This will help foresee the time at which a Seismic tremor may happen. CatBoost Regression Algorithm gives a Mean Absolute Error of about 1.860. The Cross Validation (CV) Score for the Support Vector Machine (SVM) approach is -2.1651. The datasets metrics are not reliable on any outer parameter in this manner the variety of exactness is constrained, and high accuracy is accomplished. 11 30 2019 225 229 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A3993.119119 https://www.ijitee.org/portfolio-item/A3993119119/