-4d90550d17f4602e089-287 20220608034227022 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 Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India Research Scholar JNTUK, Kakinada A.P, India N. Sreeram* Dr.M.H.M. Krishna Prasad Professor of CSE, Vice-Principal & Coordinator-TEQIP-III,, University College of Engineering Kakinada(A) J.N.T.U. KAKINADA Dr.kK. Satya Prasad Professor of ECE (Rtd), ,, University College of Engineering Kakinada(A) J.N.T.U. KAKINADA Clustering is one of the relevant knowledge engineering methods of data analysis. The clustering method will automatically directly affect the result dataset. The proposed work aims at developing an Extended Advanced Method of Clustering (EAMC) to address numerous types of issues associated to large and high dimensional dataset. The proposed Extended Advance Method of clustering will repetitively avoid computational time between each data cluster object contained by the cluster that saves execution time in term. For each iteration EAMC needs a data structure to store data that can be utilized for the next iteration. We have gained outcomes from the proposed method, which demonstrates that there is an improvement in effectiveness and pace of clustering and precision generation, which will decrease the convolution of computing over the old algorithms like SOM, HAC, and K-means. This paper includes EAMC and the investigational outcomes done using academic datasets. 11 30 2019 751 754 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7108.118419 https://www.ijrte.org/portfolio-item/D7108118419/ Electrical & Electronics Engineering Department, Sharda University, Greater Noida, India. Dr. Premananda Pany* The green energy evolution initiated the use of electric and hybrid electric vehicles at present on roads. These vehicles extensively use different types of batteries and among them lithium ion batteries are prominent. The Li-ion battery pack constitutes number of Li-ion battery cells connected in series and parallel configuration. This battery bank needs a suitable battery management system for its efficient operation. This paper presents a novel battery management system to monitor and control the battery current, voltage, state of charge and most importantly the cell temperature. The detail BMS scheme for Li-ion battery pack is presented and simulation is carried out to validate its performance with a driving cycle of electric car. 11 30 2019 496 499 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7110.118419 https://www.ijrte.org/portfolio-item/D7110118419/ Department of Computer Science and Engineering, MLR Institute of Technology, Dundigal, Hyderabad, India. P. Devika* Y. Prasanna Department of Computer Science and Engineering, MLR Institute of Technology, Dundigal, Hyderabad, India. P. Swetha Department of Computer Science and Engineering, MLR Institute of Technology, Dundigal, Hyderabad, India. G. Akhilesh Babu Department of Computer Science and Engineering, MLR Institute of Technology, Dundigal, Hyderabad, India. Map Reduce has become of the foremost often used framework for processing of giant quantity of knowledge hold on in Hadoop cluster. It is used for multi processing of giant quantity of knowledge speedily. Firstly, it had been designed by google to produce the correspondence and cut back the fault tolerance of knowledge. We are using Uber Data for analyzing the vehicle with most popular trips. As mapreduce is used to process huge amounts of data, we are using mapreducing model to analyze uber data and give insights about the most used vehicle, number of trips it has covered. The main objective of this project is to investigate no of trips so as to produce data for the company to take care of the records and helps to company in creating huge information for long run endeavor. 11 30 2019 2511 2513 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7111.118419 https://www.ijrte.org/portfolio-item/D7111118419/ Department of Mechanical Engineering, Noorul Islam Higher Education,Kumaracoil,Tamilnadu,India R. Ashok* R. Rajesh Principal, Rohini College of Engineering & Technology, Anjugrammam,Tamilnadu,India Third party logistic market is booming everywhere in the world. Globalization of world economy, focusing on core competencies, logistic cost reduction, and delivery performance made companies focus on outsourcing logistics. Third party logistic market is an emerging trend in the United Arab Emirates. Due to the economic development, easy access to open business market, technological development, robotization of 3PL industry and globalization are the few determinants that the organizations wanted to invest their money in UAE. Third party logistic market is growing fast in Abu Dhabi in the same way as in Dubai, where the 3PL market is highly adopted with IT application and robotization in their 3PL operations. Data have been collected from the 3PL clients and the precise data were collected through questionnaire and field visit. Actually 102 calculated 3PL user companies took an interest in the survey. The collected information was analyzed by Friedman’s test. This study reveals clear understanding about the various business performance measures for the third-party logistic industry in Abu Dhabi, UAE. Results have demonstrated that all the business performance measures in the 3PL user organizations have the “P” value which is under 0.01, with the null hypothesis rejected at 1 percent level of significance. 11 30 2019 2952 2958 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7112.118419 https://www.ijrte.org/portfolio-item/D7112118419/ Department of BCA, Gurunanak College, Chennai, India Mrs.Raviya. K* Dr. Mary Vennila.S Department of BCA, Gurunanak College, Chennai, India. Data flow in web is becoming high and vast, extracting useful and meaningful information from the same is especially significant. The extracted information can be utilized for enhanced decision making. The information provided by the end-users is normally in the form of comments with respect to different products and services. Sentiment analysis is effectively carried out in these kinds of compact review to give away the people’s opinion of any products. This analyzed data will be efficient to improve the business strategy. In our work the collected online movie reviews are analyzed by using machine learning sentiment classification models like Random Forest, Naive Bayes, KNN and SVM. The work has been extended with CNN and hybrid CNN-SVM deep learning models to achieve higher performance. Comparing the workings of all the above classification models for sentiment analysis based upon various performance metrics is the main objective of the paper. 11 30 2019 12391 12394 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7115.118419 https://www.ijrte.org/portfolio-item/D7115118419/ School of Manufacturing, Universiti Malaysia Perlis(UNIMAP),Perlis,Malaysia. Muhamad Fahmi Bin Mohd Roslan* Mohamad Shaiful Ashrul Bin Ishak School of Manufacturing, Universiti Malaysia Perlis(UNIMAP),Perlis,Malaysia. Abdulnasser Embark Beleed School of Manufacturing, Universiti Malaysia Perlis(UNIMAP),Perlis,Malaysia The objective of this research to study the impact of v-groove shape on Metal Inert Gas welding procedure of 6mm thickness A6061 aluminum combination and 304 Stainless steel in overlap configuration with welding parameters as; voltage, wire feed rate and shielding gas are 17 volts, 2m/min and 15L/min respectively, the experiment was performed in which the aluminum is upper. 1-mm diameter of ER4042 filler material and pure argon gas as shielded gas. V-groove shapes in steel samples were made with angle 450. The experiment conducted using SYNERGIC.PRO2 450-4 machine. Tensile test was carried out for each welded sample Universal Testing Machine of MIG welding processes with and without v-grove in steel side. Tensile strengths of welded test samples vary from 15.8 N/mm2 to 26.24 N/mm2 contingents on the welding conditions. The results indicated that v-groove specimens have a maximum strength of tensile strength of 26,24 N / mm2 compared to v-groove samples. It shows the ability to mount inert gas / brazing process aluminum to steel by means of a reversed groove angle and to maximize welding parameters. In conjunction with the half-V-shaped groove the smallest temperature gradient along the steel interface was noted to the smallest difference from top to bottom with IMC thicken values. Tensile test results showed that, owing to its outstanding diffusion behavior of filled filler material, the maximum bonding interface and the correct IMC interface distribution on the steel surface. 11 30 2019 755 759 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7116.118419 https://www.ijrte.org/portfolio-item/D7116118419/ Head, Department of Electronics and Communication Engineering, Vels Institute of Science, Technology &Advanced Studies (VISTAS), Chennai, India. Dr. D. Ravi Kumar* Dr.V. Devi Head, Department of Computer Applications, Gurunanak College, Chennai, India. Dr. M. Balasaraswathi Associate Professor, Department of Electronics & Communication Engineering, Saveetha School of Engineering, SMITS, Chennai, India. Dr. B. Karthik Associate Professor, Department of Electronics and Communication Engineering, Bharath Institute of Higher Education &Research, Chennai, India. Microarray is a fast and rapid growing technology which plays dynamic role in the medical field. It is an advanced than MRI (Magnetic Resonance Imaging) and CT scanning (Computerised Tomography). The purpose of this work is to make fine perfection against the gene expression. In this study the two clustering are used which fuzzy c means and k means and also it classifies with better results. The microarray data base indicates the classification in support vector machine. Segmentation is most important step in microarray image. The classification in support vector machine is compared with other two classifiers which means the k nearest neighbour and with the Bayes classifiers. 11 30 2019 2514 2519 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7117.118419 https://www.ijrte.org/portfolio-item/D7117118419/ Assistant Professor, Department of Chemical Engineering, Kongu Engineering College, Perundurai, Erode. Ms. Jaya Bharathi. J* Dr. K. Saravana Professor, Department of Chemical Engineering, Kongu Engineering College, Perundurai, Erode. Gas-Solid Fluidized Beds are widely used in current industrial practices for their high efficiency in producing products of very high standards. The study of bed dynamics has become an important concern for the design of fluidized beds. Various parameters like pressure, temperature, gas velocity, mean residence time and solids composition affect the bed behavior. In this view, an experimental study was carried out to determine the influence of gas flow rate, mixing time, solids composition and bed height on mixing/segregation behaviour of the bed of particles. Since fluidized beds involving more than two solids are more frequently encountered in current industrial practices, the experiments were conducted using three solid sand particles of average sizes 231 μm, 335 μm, and 510 μm. Various mixing patterns were observed for different mixing times (10, 20 and 30 minutes), different gas flow rates (7.5, 12.5, 17.5, 22.5 and 27.5 LPM), and different solids ratio. Good mixing occurred at an optimum mixing time of 30 minutes and gas flow rates of 17.5 LPM and 22.5 LPM at all solids ratio. The components exhibited relatively better mixing at intermediate bed heights. 11 30 2019 2520 2526 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7120.118419 https://www.ijrte.org/portfolio-item/D7120118419/ Department of Computer Science and Engineering, MLR Institute of Technology, Dundigal, Hyderabad, India. G. Divya Jyothi N. Shirisha* Department of Computer Science and Engineering, MLR Institute of Technology, Dundigal, Hyderabad, India. These days new technologies have been introduced by this new academic trends also have been came into existence into the education system. And this leads to huge amounts of data which makes a big challenge for the students to store the preferred course. For this many data mining tools have been invented to convert the unregulated data into structured format to understand the meaningful information. As we know that Hadoop is a distributed file system which is used to hold huge amounts of data this stores the files in a redundant fashion across multiple machines. Due to this it leads to failure and parallel applications do not work. To avoid this problem we are using Mapreduce for decision making of students in order to choose their preferred course for industrial training purpose for their effective learning techniques to increase their knowledge and capability. 11 30 2019 2527 2530 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7123.118419 https://www.ijrte.org/portfolio-item/D7123118419/ PhD Scholar, Department of Humanities and Social Sciences, National Institute of Technology Durgapur, West Bengal 713209, India. Asoke Howlader Sidhartha Sankar Assistant Professor, Department of Economics, Tufanganj Mahavidyalaya, Cooch Behar, West Bengal 736160, India Laha Arindam Modak Associate Professor, Department of Humanities and Social Sciences, National Institute of Technology Durgapur, West Bengal 713209, India Empirical relationship between unemployment and growth is not pronounced as we investigate the economic scenario of the nations. Author attempted to relate US unemployment rate to the growth during 1948-2016 by using bivariate and log regression models, Bai-Perron Model, Granger Causality test, Johansen cointegration test, vector auto regression and vector error correction models. Even, author also verified relationship between unemployment gap, output gap and growth in USA during the same period. Data on US unemployment rate, GDP and growth rate have been taken from Bureau of US census during 1948-2016. Data on US natural rate of unemployment was taken from Fed Bank of St.Louis from 1949 to 2016.The paper concludes that US unemployment rate is increasing at the rate of 0.507 per cent per annum and it has upward structural break in 1971.The nexus follows the Okun’s law in USA. US unemployment is negatively related with growth rate during 1948-2016.Their relationships are causal and cointegrated. VAR model is stable and stationary. Residual test showed non-normality and autocorrelations.Moreover, author showed negative relation between growth and unemployment gap in USA during 1949-2016.They have no causality and cointegration. Their VAR model is stable and stationary. The residual test proved non-normality and auto-correlation problems. Perceptible output gap influences unemployment gap negatively during 1949-2016 .It has significant bi-directional causality and one cointegrating equation. In Vector error correction model, error corrections are significant with high speed having stability, autocorrelation and non-normality. The rate of decline in unemployment rate due to increased growth rate in USA during 1948-2016 was marginal. 11 30 2019 1317 1325 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7125.118419 https://www.ijrte.org/portfolio-item/D7125118419/ Chitkara University Institute of Engineering & Technology, Chitkara University, Punjab, India. Deepika Chaudhary* Jaiteg. Singh Chitkara University Institute of Engineering & Technology, Chitkara University, Punjab, India. D.P. Kothari Director Research Wainganga College of Engineering & Management, Nagpur, India,. The major benefit of working on Ontology Web Language (OWL) is its ability to define semantics such that the information becomes more valuable. To realize the full power of semantics, it is essential to integrate a reasoning engine to it. The software codes that perform inferences are often referred to as reasoning engines or reasoners. The reasoners can be classified into categories: tableau based and rule based reasoners. The rule based reasoners combines the assertions with a set of logical rules to infer new knowledge chunks. The Jena framework offers several ways to integrate rule based reasoners programmatically. The operation is similar to creating a more advanced model from a simpler one. The objective of this paper is to list and classify the reasoners according to OWL 2 profiles thereafter the focus of this study is to develop a model which evaluate the performance of Semantic Web Reasoner based on few parameters. 11 30 2019 2531 2539 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7127.118419 https://www.ijrte.org/portfolio-item/D7127118419/ Mechanical, Research scholar in JNTUA, Asst. Prof. in MRCET, Hyderabad Sandhyarani Borukati* Dr. A. Ramesh Mechanical, BIT Institute of Technology, Hindupur Dr. B. Durga Prasad Mechanical, Prof. & COE, JNTUA, Anantapuram. This Research work explains the Mechanical properties of Flexural test, Tensile test, Impact test and SEM analysis of Sansevieria Trifasciata fiber (STF), Carbon fiber (CF) [1] hybrid polymer composites. The Hybrid Composite laminates were created with five different fiber % of STF (0%, 10%, 20%, 30% and 40%) and % of Carbon Fiber (100%, 90%, 80%, 70% and 60%). The manufacturing process was completed by hand layup technique. Mechanical properties of Hybrid Composite laminates were included to Tensile, Flexural and Impact testing. The SEM shows fiber debonding and de-lamination of fiber and resin can be observed. The explanation covers that Flexural, Tensile and Impact quality increases without affecting the extension of the Hybrid Composite with fiber extents 11 30 2019 2370 2372 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7128.118419 https://www.ijrte.org/portfolio-item/D7128118419/ Scholar, Department of Computer Science & Engineering, Technocrats Institute of Technology & Science, Bhopal. Deepak Kumar Gupta* Dr. Neetesh Kumar Gupta Scholar, Department of Computer Science & Engineering, Technocrats Institute of Technology & Science, Bhopal. Text and image data are important elements for information processing almost in all the computer applications. Uncompressed image or text data require high transmission bandwidth and significant storage capacity. Designing and compression scheme is more critical with the recent growth of computer applications. Among the various spatial domain image compression techniques, multi-level Block partition Coding (ML-BTC) is one of the best methods which has the least computational complexity. The parameters such as Peak Signal to Noise Ratio (PSNR) and Mean Square Error (MSE) are measured and it is found that the implemented methods of BTC are superior to the traditional BTC. This paves the way for a nearly error free and compressed transmission of the images through the communication channel. 11 30 2019 1927 1932 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7131.118419 https://www.ijrte.org/portfolio-item/D7131118419/ Electronics Department, Goa University, Goa, India Aparajita Naik Jivan Parab* Electronics Department,Goa University,Goa,India Rajendra Gad Electronics Department,Goa University,Goa,India This article describes a sophisticated method for detection of Heart valve defects at early stage i.e Grade 1 murmur without the expertise of a doctor. The diagnosis based on heard heart sounds through, either a conventional acoustic or an electronic stethoscope is itself a very specialized skill that will take years to acquire. Sometimes the doctors cannot detect these defects till the murmurs reach grade 3 and above which generally is too late for prognosis. Here, we have taken the recorded heart sounds from 350 subjects and performed the Fast Fourier Transform(FFT) on it, but it didn’t give satisfying result. We have also recoded heart sounds using phonograph for 20 subjects in noise free environment. In this technique Frequency component with the maximum magnitude (in Hertz) was observed to be of varying values across some heart sounds (for e.g., heart sound from subject 41=13.0588Hz and heart sound from subject 58=324.5293Hz). Hence normal heart sounds could not be categorized in a generic way. To overcome this problem, we have used Shannon energy method on same data file, which will classify the condition of heart by finding S1(lub) and S2(dub) frequency component, if they lie between 30-100Hz, the heart is normal and if it is above 100Hz then the heart function is abnormal.. 11 30 2019 2373 2376 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7132.118419 https://www.ijrte.org/portfolio-item/D7132118419/ Research Scholar, V.M. Patel Institute of Management, Ganpat University, Gujarat India. Ms. Ranna Bhatt* Dr. Mahendra Sharma Pro-Chancellor and Director General, Ganpat University, Gujarat, India. Attrition is one of the biggest challenge for any industry as it comes with many demerits such as loss of productivity, incurring of various costs such as training & development, recruitment etc. According to the Compensation Trends Survey conducted by Deloitte Human Capital Consulting, the IT/ITES industries of the Indian market have faced 15% of the attrition that is higher for any industry. Thus, the companies of this industry are focusing to decrease the turnover intention in order to reduce the actual employee turnover. The aim of this research is to find out the influence that Job Satisfaction and organizational commitment have on the turnover intention on the employees. Various research suggests that organizational commitment and turnover intentions are negatively correlated. Also, the studies suggest that Job Satisfaction and employee turnover intentions have a negative relationship. This study has been conducted to examine the relationship between Job Satisfaction, organizational commitment, and turnover intention for the IT/ITES industry employees with a special focus to BPO segment. The researchers have taken data from 500 employees of the BPO segment from 3 major cities of Gujarat i.e. Ahmedabad, Gandhinagar and Baroda. The researchers have used Multiple regression and ANOVA to examine the influence of the organizational commitment & job satisfaction on the turnover intention. The result shows that higher level of organizational commitment reduced the turnover intention. This research can help the BPO organizations to formulate & implement the strong retention strategies. Also, this study provides a direction to the academicians to explore further dimensions of the research in the various industries as well as various regional backgrounds. 11 30 2019 2959 2962 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7133.118419 https://www.ijrte.org/portfolio-item/D7133118419/ Dept. of Electrical Engineering, Gujarat Technological University, Ahmedabad, India. Atul Kunpara* Vithal N. Kamat Managing Director, Baroda Electric Meters Ltd., New Vallabh Vidhyanagar, India. In last two decades the use of renewable sources has been increased tremendously. This has increased the number of inverters connected to grid for the integration of energy from renewable sources. The stability of grid tied inverter is very much important with increased number of inverters. Especially in weak grid, which leads to voltage fluctuation, stability of inverter needs more attention. For a stable operation of VSC it is very important to detect the phase of grid voltage at point of common coupling (PCC) with proper accuracy. In this paper a Double Synchronous Reference Frame PLL (DSRF-PLL) with grid impedance compensation is presented. It is shown that with grid impedance compensation in phase detection, a VSC can be virtually synchronized at a stronger point of common coupling (PCC) in grid and this will enhance the active power transfer capacity of VSC with stable operation in weak grid condition. MATLAB simulation results are presented to verify the findings. 11 30 2019 2963 2966 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7134.118419 https://www.ijrte.org/portfolio-item/D7134118419/ College of Electrical Engineering, University of Technology, Baghdad, Iraq. Hayder Yousif Abed* Abdulrahim Thiab humod College of Electrical Engineering, University of Technology, Baghdad, Iraq. Amjad J. Humaidi Control and System Engineering Department, University of Technology, Baghdad, Iraq. Ayad Q. Al-Dujaili Electrical Engineering Technical College, Middle Technical University, Baghdad, Iraq. This work presents the design of intelligent controller for the speed control of a brushless DC motor under uncertainty in motor parameters. The Interval Type 2 Fuzzy Logic (IT2FL) controller has been proposed and designed to achieve the speed control specifications. A comparative study is conducted between IT2FL and PID controllers in terms of tracking performance and robustness characteristics. The effectiveness of both controller structures is verified through simulation within a MATLAB/Simulink environment. The simulated results showed that the IT2FL controller is more efficient than the PID counterpart in terms of tracking and robustness. 11 30 2019 2540 2544 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7136.118419 https://www.ijrte.org/portfolio-item/D7136118419/ Research Scholar, Dept. of Computer Science, The University of Burdwan, India. Kh. Amirul Islam Akash Nag* Lecturer, Dept. of Computer Science, M.U.C. Women’s College, Burdwan, India. Sunil Karforma Professor & Head, Dept. of Computer Science, The University of Burdwan, India. Sripati Mukhopadhyay Prof., Dept. of Comp. Sc. & Engg., Academy of Technology, West Bengal, India. Universities offering e-learning courses often provide their students with a hard copy of the marksheet. When that same student wants to apply for a job through the online application portal of a company, he/she must scan the marksheet and upload the scanned copy. This is a nuisance because there can be many such marksheets and not everyone has access to a scanner at home. The candidate is also required to provide the name of the University which issued the degree as well as the marks obtained, because these information cannot be extracted from the scanned marksheet image using OCR with 100% success rate due to many factors including: varying marksheet formats, presence of background watermarks, differing fonts, loss in quality during scanning, etc. The company must now manually verify each such application by matching the entered marks against the marks printed in the marksheet, which is a tedious process. In this paper, we propose an alternative approach where the data printed on the marksheet is also embedded in a digital copy of the marksheet. This digital copy, in the form of an image, can then be downloaded by the students from the University portal thereby eliminating the need for scanning. Furthermore, when this image is uploaded, the company, i.e. job provider, can easily verify the information by invoking a standard API exposed by the University (or some nodal agency), which will then extract the embedded information. This eliminates the need for any manual verification and the entire process is automated, simple, fast and hassle-free. Security features are also inherent in our approach thereby reducing any chances of fraud. 11 30 2019 2377 2383 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7139.118419 https://www.ijrte.org/portfolio-item/D7139118419/ Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia Syarifah Nurul Fauziah Rosinta Ria Panggabean* Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia. This study aims to examine the effect of managerial ownership, auditors switching and intellectual capital on the integrity of financial statements with leverage and firm size as control variables. The study employed literature and observation study of the research object to obtain the research data. The research objects are manufacturing companies listed on IDX and MYX within the period of 2014-2017. Research data were analyzed using Eviews software with multiple linear regression analysis method. In this study the t statistical test is used to measure and assess the significance level of each independent variable (managerial ownership, auditor switching and intellectual capital) and control variables (firm size and leverage) on the dependent variable, namely the integrity of financial statements applied in Indonesia and Malaysia. The results showed that in the Indonesian manufacturing companies, managerial ownership, auditors switching and intellectual capital have a positive effect on the integrity of financial statements. Meanwhile, in the Malaysian manufacturing companies, from the three dependent variables used in the study, only managerial ownership has an effect on the integrity of financial statements. With regard to the control variables used, leverage and firm size are equally positive for the integrity of financial statements of companies just in Indonesia. This research is different from the previous study in that the objects of this study are manufacturing companies listed on the Indonesia Stock Exchange (IDX) and Bursa Malaysia (MYX) within the period of 2014-2017, which is a longer period of time. Further, the researchers add independent variables to managerial ownership, auditor switching, and intellectual capital 11 30 2019 2252 2259 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7141.118419 https://www.ijrte.org/portfolio-item/D7141118419/ Faculty of Accountancy, Universiti Teknologi MARA, Malaysia Alfiatul Rohmah Mohamed Hussain* Suhaily Hasnan* Faculty of Accountancy, Universiti Teknologi MARA, Malaysia Zuraidah Mohd Sanusi Accounting Research Institute, Universiti Teknologi MARA Malaysia The purpose of this study is to examine whether there is mean difference in profitability (Profit), market incentive (EPrice) and audit quality (AudQ) variables between restatement and non-restatement firms in Malaysia. The sample comprises of 285 public listed companies on the Main Board of Bursa Malaysia for the years between 2005 and 2013. A descriptive statistics analysis is performed to differentiate the characteristics of restatement and non- restatement firms. The study finds significant difference between restatement and non-restatement firms in the profitability and market incentive variables. The results show that restatement firms reported higher profit than non- restatement firms in the year prior to the restatement year. And, restatement firms have higher earnings-to-price ratio (proxy for market incentive) relative to the non-restatement firms that are matched by total assets, but lower than non-restatement firms which not matched by total assets. This indicates that restatement firms are able to maintain high growth expectations embedded in the firm’s share price. The study finds no significant difference in audit quality between misstatement and non-misstatement firms. The comparable audit fees between restatement and non-restatement firms indicate that the external auditors of restatement firms failed to appropriately assess the audit risk of these firms. 11 30 2019 2260 2264 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7143.118419 https://www.ijrte.org/portfolio-item/D7143118419/ School of Computer Engineering and Technology, MITWPU, Pune , India. Mamta Bhamare* Dr. K. Ashok Kumar School of Computing , Sathyabama University, Chennai, India. Personality, a typical way of thinking, feeling, and behaviour. Personality embraces moods, attitudes and views and is expressed most obviously in relationships with others. It involves both intrinsic and acquired behavioural features that differentiate one individual from another and can be found in the relationships of people with the surroundings and with the social group. With the development of social networks, a broad variety of techniques have been developed to identify user personalities based on their social activities and language usage practices. In terms of distinct machine learning algorithms, information sources and function sets, particular methods vary. Personality prediction has been an important research topic for describing user profiles and person not only in psychology but also in computer science. This paper presents a systematic survey of current work done of personality prediction from social networks. We also prepared a Comparison chart of existing techniques for personality prediction on the basis of relevant parameters. Based on this survey, we finally presented a few future research directions related to personality prediction. 11 30 2019 2384 2389 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7146.118419 https://www.ijrte.org/portfolio-item/D7146118419/ Associate Professor, Mittal School of Business, Lovely Professional University, Punjab, India. Dr. Mahesh Sarva* Dr. Ajay Sidana Associate Professor, Amity International Business School, Amity University, Noida, India. Dr. Rupesh Roshan Singh Associate Professor, Mittal School of Business, Lovely Professional University, Punjab, India. Dr. Gangu Naidu Mandala Assistant Professor, GITAM institute of Management, GITAM Deemed to be University, Visakhapatnam, India. Food Problem in Indian Economy is acute. Food Problem in India is not only concerned with the shortage of food but also has a deficiency of nutrition. The 2015 Global Hunger Index ranked India twentieth amongst leading international locations with a severe hunger state of affairs. With food problem, malnutrition also places a heavy burden on India in terms of deaths, disease and direct impact on productivity. There are several programs in India to address this concern, the first initiative was Amma Unavagam food subsidization program run by the state of Tamil Nadu has won popular support and brought a new dimension in food security. Several states started the program with different dimension viz. Rajasthan, Madhya Pradesh, Odisha, Andhra Pradesh, Karnataka. There are other states which are planning to adopt this model including Uttar Pradesh. The present research analyzes the success of state programs that can be replicated to throughout India. The study discusses the implications for policy makers for successful implementation of the program. The study also highlights the possible limitations and future research. 11 30 2019 2545 2548 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7149.118419 https://www.ijrte.org/portfolio-item/D7149118419/ Department of IT, NEHU, Shillong, India. Amitabha Nath* Lalhmingliana Department of Computer Engg., Mizoram University., India. Goutam Saha Department of IT, NEHU, Shillong, India. India's increasing population, rapid urbanization and indiscriminate destruction of water bodies creating a grave threat on its existing water demand and supply balance. Primary fresh water sources such as rivers and wells are gradually getting dry. As a consequence, it is estimated that India would become a water scarce nation by 2050. To address the issue, massive survey work was conducted and various inter basin water transfer schemes were chalked out. However, these schemes became subject of controversy owing to its technical risk and huge cost. To make this effort cost efficient, in this investigation, computational approaches have been undertaken to assist in the decision making process. Current research endeavour suggests that these efforts are quite accurate, less costly and can be carried out in much less time. The inputs to these computational models are landscape elevation, land use data, soil information, precipitation level etc.. The estimated optimal river interlinking routes will be the output of the proposed model. Several efforts have been undertaken earlier in this direction with various limitations. In this paper, we address the same issue using machine learning approach. For experimental purpose Jogigopa-Tista link is considered as the test case. Optimal routing path is been estimated using the developed technique. Thereafter, the results are compared with the National Water Development Agency (NWDA) proposed routes. It is found that the proposed model's outcome exhibits a considerable amount of similarity with the NWDA proposed route. 11 30 2019 760 765 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7151.118419 https://www.ijrte.org/portfolio-item/D7151118419/ Electrical Engineering department, BVM Engineering College, Vallabh Vidyanagar, India. Yogesh R Prajapati* Vithal N Kamat Director, Baroda Meters Limited, Vithal Udyognagar, India. Jatinkumar J Patel Electrical Engineering department, G H Patel College of Engineering and Technology, Vallabh Vidyanagar, India. The Load Frequency Control (LFC) problem in a smart grid is presented in this paper. For the visualization of the problem, an isolated two area restructured power system contains thermal-thermal non-reheat unit with distributed wind energy system considered. In the study presented here efforts have been put to visualize and realize the LFC problem because of sudden load variation and uneven wind power in the smart grid. The generators are assumed working in Automatic Generation Control (AGC) mode under the bilateral market contract to meet the load demand. For visualization of load frequency control problem with local load variation of +20% and wind power which further add in sudden load deviation has been considered. Generators running under AGC mode are facing the cyclic and random load frequency fluctuations due to this sudden load variation and grid-connected wind power. In this way to enhance the solution the grid-connected aggregated EV batteries are used in distribution areas in the simulation with charging and discharging mode as distributed battery energy storage. The effect of grid-connected EV has studied for the improvement in stability as well as system dynamic response. From the results it is observed that the peak overshoots and settling time in load frequency fluctuations have minimized during the sudden load variation and wind power fluctuations. 11 30 2019 2390 2395 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7152.118419 https://www.ijrte.org/portfolio-item/D7152118419/ Graduate School of Integrative Science and Engineering, Tokyo City University, Tokyo, Japan. Hironobu Sone* Yoshinobu Tamura Department of Intelligent Systems, Faculty of Knowledge Engineering, Tokyo City University, Tokyo, Japan. Shigeru Yamada Graduate School of Engineering, Tottori University, Tottori-shi, Japan. Open source software are adopted as embedded systems, server usage because of quick delivery, cost reduction and standardization of systems. Many open source software are developed under the peculiar development style known as bazaar method. According to this method, faults are detected and fixed by developers around the world, and the fixed result will be reflected in the next release. Also, the fix time of faults tends to be shorter as the development of open source software progresses. However, several large-scale open source projects have a problem that faults fixing takes a lot of time because the faults corrector cannot handle many faults reports quickly. In this paper, we aim to identify the fix priority of newly registered faults in the bug tracking system by using random forest, and we make an index to detect the faults that require high fix priority and long fault fixing time when faults are reported in specific version of open source project. The index is derived and identified by using open source project data obtained from bug tracking system. In addition, we try to improve the detection accuracy of the proposed index by learning not only the specific version but also the fault report data of the past version by using random forest considering the characteristic similarities of faults fix among different versions. As a result, the detection accuracy has highly improved comparing with using only specific version data and using logistic regression. 11 30 2019 2396 2400 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7153.118419 https://www.ijrte.org/portfolio-item/D7153118419/ Department of EEE, Vel Tech MultiTech, Dr.Rangarajan Dr. Sakunthala Engineering College, Avadi Chennai S. Sivarajan* S. Manikandan Department of EEE, Balaji Institute of Technology And Science, Warangal, Telungana, T. Rajeshkumar Department of EEE, Balaji Institute of Technology And Science,Warangal,Telungana R.Ranadheer Reddy Department of EEE, Balaji Institute of Technology and Science, Warangal, Telungana There is strong must be constrained to build up a practical independent power exchange that serves the open enthusiasm by giving productive power through the ecologically mindful and affordable improvement of the available vitality assets. To spot light the green energy technology (GET) with regard to need, sorts of GETs, highlights, planning boundaries, applications, disadvantages, challenges, and so on is the other target of this paper. GETs are helpful to continue setting as perfect and unpracticed and also they are treated as simple power hotspots for media transmission or elective applications. we can utilize the green media applications for telecommunication systems. The power exchange ought to be worried by change age sources to a property sources and managing clients to help them avail vitality a great deal of quickly. Green telecom technology has been utilizing greatly to advertise carbon flightiness inside the telecom exchange. Ecological issues of sustainable power source have been expanding rapidly. Although there are some issues and difficulties with the edge of boundaries in usage but the green energy technologies territory unit immediately available inside the market. 11 30 2019 1326 1332 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7155.118419 https://www.ijrte.org/portfolio-item/D7155118419/ Research Scholar, VTU, Belagavi, Karnataka, India Rahul Ajith kumar* K. Satyanarayan Reddy Professor & Head, Department of Information Science & Engineering, Cambridge Institute of Technology, Bangalore, Karnataka State, India G.Glan Devadhas Professor, Department of Electronics & Instrumentation, Vimal Jyothi Engineering College, Kerala Recently, the growth of the internet is increased day by day also the digital data such as videos, images and audio availability to the public get increased rapidly. The society required intellectual property protection. To protect the media from other attack intruders and avoid business loss is the requirement of digital media produced. Introducing watermarks can be useful to safeguard copyright. In this review an effort is made to explore various aspects of watermarking, algorithms used, and to carry out a comparative study of these techniques based on their classifications. 11 30 2019 4163 4169 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7161.118419 https://www.ijrte.org/portfolio-item/D7161118419/ Faculty of Information Technology, University of Petra, Amman, Jordan. Ghassan F. Issa* Mohammad Abu-Arqoub* Faculty of Information Technology, University of Petra, Amman, Jordan. Wael M. Hadi Faculty of Information Technology, University of Petra, Amman, Jordan. Text classification is a vital process due to the large volume of electronic articles. One of the drawbacks of text classification is the high dimensionality of feature space. Scholars developed several algorithms to choose relevant features from article text such as Chi-square (x2), Information Gain (IG), and Correlation (CFS). These algorithms have been investigated widely for English text, while studies for Arabic text are still limited. In this paper, we investigated four well-known algorithms: Support Vector Machines (SVMs), Naïve Bayes (NB), K-Nearest Neighbors (KNN), and Decision Tree against benchmark Arabic textual datasets, called Saudi Press Agency (SPA) to evaluate the impact of feature selection methods. Using the WEKA tool, we have experimented the application of the four mentioned classification algorithms with and without feature selection algorithms. The results provided clear evidence that the three feature selection methods often improves classification accuracy by eliminating irrelevant features. 11 30 2019 1333 1338 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7163.118419 https://www.ijrte.org/portfolio-item/D7163118419/ GITAM Institute of Management, GITAM Deemed to be University, Visakhapatnam. Dr. Gangu Naidu Mandala* Dr. Suresh Sirisetti GITAM Institute of Management, GITAM Deemed to be University, Visakhapatnam. Dr.Venkta Ramakrishna Rao Gandreti Department of Management Studies, Vignan's Institute of engineering for women, Visakhapatnam. Dr.S. Anjani Devi GITAM Institute of Management, GITAM Deemed to be University, Visakhapatnam. The way to portfolio management is to have at every that you hold quickly too. The best cash supervisors on the world are powerful in light of the way that they have a request to direct cash and they have a game plan to contribute. What is needed is a sound academic framework for settling on decisions and the ability to keep sentiments from expending that structure." Most people contribute to finishing a target, the most generally perceived being retirement and school. Making a game plan upgrades your conceivable outcomes of advancement, despite for shorter-term funds destinations like a house in advance portion, excursion or auto. Right when contributing for a target, consider these requests. At the point when will I require my speculation, the amount of will I require, what is the best record sort, assessable or cost-advantaged. Answers to these request will help choose the measure of danger you can take, the sum you need to contribute and what kind of record you should consider, after we have manufactured your portfolio of mutual funds, we have to know how to look after it. Here, we discuss how to deal with a mutual-fund portfolio by strolling through four basic techniques. 11 30 2019 513 516 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7168.118419 https://www.ijrte.org/portfolio-item/D7168118419/ IT department, faculty of science, Ibn Tofail University, Kenitra, Morocco. Amrani Ayoub* Rafalia Najat IT department, faculty of science, Ibn Tofail University, Kenitra, Morocco. Abouchabaka Jaafar IT department, faculty of science, Ibn Tofail University, Kenitra, Morocco. With the revolution of cloud computing and Internet of Things (IoT), users can access IoT services in different domain such as smart home, smart healthcare and smart factory. The connected device using sensors generates hundreds of real time communication that transfers sensitive user’s data to the cloud server. This sensitive information is transferred via an open and insecure channel. The Cloud-IoT paradigm has opened a new window of security challenges related to it. Therefore secure authentication schemes are of utmost importance to provide a secure access data and IoT services for legal users. This paper propose a secure distributed mutual authentication protocol based on our previous published scheme “Amrani et Al.”, suitable for IoT environment. Moreover we implement the proposed scheme using Multi Agent System (MAS) in JADE platform, analyze the results and compare its performance with “Hanaoui et Al.” scheme. The proposed protocol can also protect a Mobile Agent (MA) while carrying sensitive information, from IoT platform to Cloud Server. 11 30 2019 2029 2037 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7322.118419 https://www.ijrte.org/portfolio-item/D7171118419/ Department of Information Technology, Saveetha Engineering College, Chennai. Dr. K. Suresh kumar* Mr. D. Ganeshkumar Department of Computer Science & Engg., VelTech MultiTech Dr RR Dr SR Engineering College, Avadi, Chennai. Mr. Sakthivel Department Of MCA , VelTech High-tech Dr.Rangarajan Dr.Sakunthala Engineering College, Chennai - 600054, Tamil Nadu, India. Dr. J. Senthil Murugan Department Of MCA , VelTech HighTech Dr.Rangarajan Dr.Sakunthala Engineering College, Chennai - 600054, Tamil Nadu, India. Dr. A. Mohan* Department Of Information Technology, VelTech HighTech Dr.Rangarajan Dr.Sakunthala Engineering College, Chennai - 600054, Tamil Nadu, India. Magnetic strip cards have very low storage mainly a few bytes and in general smart cards can store hundred times more information than magnetic. With more space to store information, smart cards can have more use and may be more versatile than magnetic cards, in addition to being a student identification card it could also be used to store monetary values such as a cash card for retail and as an access card to login to computers and enter rooms. Smart cards have the benefits of storing comprehensive records with the advantages of accuracy and reliability, in other words it can he seen as a mobile database.Our implementation will be very useful to trace the students for college gate, Hostel gate, Library, Transport, Academic attendance, Academic scores, Student details, Achievements. Once college administrator will store student details, staff details and authentication details after that student will be traced and information store automatically to concern database. Then the attendance IS sent to parents via SMS. Student’s will store their attendance via biometric fingerprint reader without staff intervention. 11 30 2019 2549 2554 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7173.118419 https://www.ijrte.org/portfolio-item/D7173118419/ Associate Professor, Department of ECE, WISTM, Visakhapatnam, India Praveen Choppala* James Stephen Meka Professor, Department of CSE, WISTM, Visakhapatnam, India Prasad Reddy PVGD, Sr. Professor, Department of CS & SE, Andhra University, Visakhapatnam, India Image de-noising forms a crucial component of digital image processing. The state-of-the-art vector median filtering based image de-noising approaches like the median filtering, the vector median filtering and the basic vector directional filtering and their extensions process the vector pixels jointly in the red, green and blue components. Consequently any smoothing applied therein is leveraged on all the color components equally. In this paper we propose that processing the vectors in isolation, that is, each color component taken separately, and then smoothed by minimising the aggregate distance between the pixels in each color component will lead to more efficient de-noising of noisy images. We demonstrate the superiority of the proposed method compared against vector filtering approaches using several images and test measures. 11 30 2019 2401 2405 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7174.118419 https://www.ijrte.org/portfolio-item/D7174118419/ Department of Mechanical Engineering, Genba Sopanrao Moze College of Engineering, Balewadi, Pune, India. Prof. R. S. Fegade* Dr. R. G. Tated Department of Mechanical Engineering, Matoshri College of Engineering & Research Center Eklahare, Nashik, India. Dr. R. S. Nehete Department of Mechanical Engineering, SIES Graduate School of Technology, Navi Mumbai, India. Dr. D. G. Parle Technology Expert-New product Development simulation center, Pune, India. A direct chill (DC) casting is a continuous casting process widely used in different industries. The aim of the work is to investigate thermal and mechanical stress formed during the direct chill casting process by a numerical method. A commercial software ANSYS mechanical APDL is used for the simulation. A moving mesh technique is employed for the development of ingot during the solidification process. An element birth and death concept is used to find out the deformation in ingot. The verification of the results is done with the results found in literature and found a good agreement. The developed model has admirable ability to predict the thermal and mechanical stress formed in direct chill casting process. 11 30 2019 2967 2975 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7175.118419 https://www.ijrte.org/portfolio-item/D7175118419/ Lecturer, University of Merdeka Malang, Indonesia. Yuntawati Fristin* Umar Nimran Lecturer, University of Brawijaya Malang, Malang, Indonesia. M. Al Musadieq Lecturer, University of Brawijaya Malang, Malang, Indonesia Dr. Hamidah Nayat Utami Lecturer, University of Merdeka Malang, Malang, Indonesia. The research aims to analyze and explain the effect of Superleader on Employee Engagement; the effect of Superleader on work satisfaction; the effect of Superleader on work performance; the effect of Perceived Organizational Support on Employee Engagement, the effect of Perceived Organizational Support on work satisfaction; the effect of job satisfaction on Employee Engagement; the effect of job satisfaction on work performance and the effect of Employee Engagement on work performance. The number of samples used in this research was 240 people. The data was analyzed by using Generalized Structured Component Analysis (GSCA). The result shows that Superleader had both positive and significant effect on work performance, Superleader led significantly to Employee Engagement, Superleader had positive effect but insignificant on work performance, Perceived Organizational Support had a positive and significant relationship on job satisfaction, Perceived Organizational Support had positive and significant effect on Employee Engagement, Perceived Organizational Support led positively but insignificantly to work performance, Job Satisfaction led to Employee Engagement both positively and significantly, Job Satisfaction had a positive and significant effect as well on work performance. While the indirect relationship between Superleader and Performance mediated by Satisfaction based on Sobel test showed insignificant effect. The insignificant effect of Perceived Organizational Support variable on Performance mediated by Satisfaction showed significant result. Moreover, the indirect effect between Perceived Organizational Support variable on Performance mediated by Employee Engagement also indicateed a significant result. 11 30 2019 2406 2415 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7176.118419 https://www.ijrte.org/portfolio-item/D7176118419/ Department of Computer Science and Engineering, MLR Institute of Technology, Dundigal, Hyderabad, India Boggula Lakshmi* B. Madhuravani Department of Computer Science and Engineering, MLR Institute of Technology, Dundigal, Hyderabad, India B. Veda Vidya Department of Computer Science and Engineering, MLR Institute of Technology, Dundigal, Hyderabad, India C. Sowjanya Department of Computer Science and Engineering, MLR Institute of Technology, Dundigal, Hyderabad, India The boundless accepting of cloud based administrations in the social insurance segment have brought about practical and pleasing trade of Personal Health Records (PHRs) among n number of partaking substances of the e-Health frameworks. All things considered, putting away the individual wellbeing data to cloud servers was suspicious to disclosure or burglary and requires the blooming of procedures that verify that the security of the PHRs. The patients store the encoded PHRs in the un-confided in cloud servers and specifically vouchsafe access to various sorts of clients on non-indistinguishable segments of the PHRs. 11 30 2019 517 519 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7181.118419 https://www.ijrte.org/portfolio-item/D7181118419/ Department of Computer Science and Engineering, MLR Institute of Technology, Dundigal, Hyderabad, India. R. Anusha* Boggula. Lakshmi Department of Computer Science and Engineering, MLR Institute of Technology, Dundigal, Hyderabad, India T. Mounika Department of Computer Science and Engineering, MLR Institute of Technology, Dundigal, Hyderabad, India. Spurthi Kankanala Department of Computer Science and Engineering, MLR Institute of Technology, Dundigal, Hyderabad, India. The ongoing development of profound learning has empowered exchanging calculations to anticipate stock value developments all the more precisely. Tragically, there is a noteworthy hole in reality sending of this achievement. For instance, proficient brokers in their long haul professions have collected various exchanging rules, the legend of which they can see great. Then again, profound learning models have been not really interpretable. This paper presents DeepClue, a framework worked to connect content based profound learning models and end clients through outwardly deciphering the key components learned in the stock value forecast model. We make three commitments in DeepClue. To start with, by structuring the profound neural system engineering for translation and applying a calculation to separate important prescient variables, we give a valuable case on what can be deciphered out of the expectation model for end clients. Second, by investigating chains of command over the extricated factors and showing these variables in an intuitive, progressive representation interface, we shed light on the best way to successfully convey the translated model to end clients. Uncommonly, the elucidation isolates the anticipated from the eccentric for stock forecast using block model parameters and a hazard representation structure. Third, we assess the coordinated perception framework through two contextual analyses in anticipating the stock cost with online budgetary news and friends related tweets from web based life. Quantitative tests contrasting the proposed neural system design and cutting edge models and the human gauge are led and detailed. Criticisms from a casual client contemplate with area specialists are abridged and examined in detail. All the examination results show the viability of DeepClue in finishing securities exchange speculation and investigation assignments. 11 30 2019 2555 2558 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7182.118419 https://www.ijrte.org/portfolio-item/D7182118419/ Assistant Professor, School of Social Sciences and Languages, a sincere learner, a qualified doctorate in Sociology (Ph.D. Sociology) from Pondicherry Central, Chennai, India. Dr. V. Vijayalakshmi* Mrs.Bhavana. S Assistant Professor, Department of Digital Film Making, Jain (Deemed-to-be University) Bangalore, EPT Research Scholar VIT-Chennai, India. This study elucidate ‘Nomophobia' by developing a research model that identifies various determinants of the Smartphone taking apart of usage among students it leads to addiction and self-control, cyber addiction and positive aspects of using the Smartphone. Structural equation modeling of the proposed model indicates that students were using for long duration and its analysis the purpose of using the Smartphone positive and negative aspects, poor self-control, cyber addiction and problem using Smartphone, they are more fond of to the Smartphone devices, which, in go-round, lead to the Smartphone addiction "Nomophobia". 11 30 2019 2559 2564 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7183.118419 https://www.ijrte.org/portfolio-item/D7183118419/ Director and Dean at Christ Deemed to be University, Lavasa, Pune, India Dr. Jossy P. George* Dr. Tessy Tom Assistant professor and Head ,Department of Mathematics Suhas M. Gaikwad Researcher at Christ Deemed to be University, Lavasa, Pune, India. Coronary Angiography bypass sugary is meant for removing blockage in the coronary arteries of heart. Removing blockage from the heart with Coronary Angiography leads to the regulation of the blood flow rate at normal pressure. However, after a few years of the Coronary Angiography bypass sugary nearly fifty percent of people will develop again a blockage in the coronary arteries. Although, the Medical Science and Technology advanced so much there is a lack of an Optimization tool that handles complications of the Coronary Angiography bypass sugary. A new Optimization tool using Genetic Algorithm with the Coronary Angiography bypass sugary GA-CABAG, and Cohort Intelligence, Coronary Angiography bypass surgery CI –CABAG is introduced to help to resolve the above-mentioned problem. 11 30 2019 2416 2421 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7185.118419 https://www.ijrte.org/portfolio-item/D7185118419/ Faculty of Computing and Informatics, Multimedia University, Cyberjaya, Malaysia Hui-Jia Yee* Choo-Yee Ting Institute of Postgraduate Studies, Multimedia University, Cyberjaya, Malaysia. Chiung Ching Ho Faculty of Computing and Informatics, Multimedia University, Cyberjaya, Malaysia. Selecting a new site for retail business expansion has always been a challenge for decision-makers. It requires not only the sales data but the geographic data in order to decide the potential location for their respective purposes. Proper use of the data could lead to better decision-making. To date, common techniques such as geographic information system (GIS) and multi-criteria decision making (MCDM) have been applied to site selection. These methods, however, require not only extensive human effort but more importantly, difficult to validate the importance of identified variables. In this work, sales performance is proposed as a function of geospatial features to determine the suitability of a retail location. The main aim of this study was to identify features attributed to optimal site selection which in turn facilitate sales prediction for a telecommunication company in Malaysia. In this research, various feature selection techniques and machine learning models were deployed for sales prediction in order to determine the suitability of the new location. The findings show the top 3 feature selections are prediction step in VSURF, random search, and fuse learner with search strategy; the top 3 families are boosting, random forest and bagging; and the top 3 classifiers are C5.0, rf, and parRF. The crossover combination of the top feature selection-classifier can produce the AUC of more than 0.75. The highest AUC, 0.8354 was obtained through random search-parRF. 11 30 2019 2422 2431 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7186.118419 https://www.ijrte.org/portfolio-item/D7186118419/ National Water Research Center (NWRC), Cairo, Egypt. Mohie Eldin Mohamed Omar* Ahmed Medhat Ismail Abd Elhamid National Water Research Center (NWRC), Cairo, Egypt. Islam Sabry Al Zayed National Water Research Center (NWRC), Cairo, Egypt. In the Nile Delta region of Egypt, measurements of Actual Evapotranspiration (ETa) and Potential Evapotranspiration (ETp) are difficult, expensive and labor-intensive. The current paper aimed at finding the superior method for estimating the ETa and ETa/ETp in the Nile Delta governorates by comparing different methods. Three different methods were used for ETa estimates being; Remote Sensing approach by Moderate Resolution Imaging Spectroradiometer (MODIS) ETa-product (MOD16A2), FAO (33) method, and Irrigation Water Balance Calculation (IWBC) method. The three ETa methods were applied for five governorates in 2017, where the data for IWBC were available. However, only MOD16A2 was compared with FAO (33) for ETa/ETp ratio and the two selected methods were applied for all eight Nile Delta governorates for the period of 2008 -2017. The MOD16A2 product was derived from the MODIS satellite images using an improved evapotranspiration algorithm based on the Penman-Monteith equation. FAO (33) was based on the relationship between the relative yield loss of any crop to relative reduction of water consumption. The IWBC required estimation of both; the field application and conveyance water losses as the only unknown elements of irrigation water balance in Delta governorates. For comparison between applied methods, descriptive statistics, analysis of variance (ANOVA) for checking difference, and cluster analysis were applied. The results showed a significant difference values between MOD16A2 and FAO (33) for estimating ETa/ETp ratios. However, the difference for ETa estimation was insignificant between the three methods indicating a significant relationship, with a strong correlation between MOD16A2 and IWBC. It was observed that ETa values were impacted by the cropping pattern, since they were very close in governorates having the same dominant crops. In conclusion, both MOD16A2 and IWBC can be utilized for ETa estimation. Both MOD16A2 and FAO (33) are not confirmed for estimation of ETa/ETp ratio due to the significant difference between both results. FAO (33) cannot be utilized for both ETa and ETa/ETp ratio estimates. Further data collection and investigation on ETa and ETp estimates methods are recommended. 11 30 2019 2432 2439 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7187.118419 https://www.ijrte.org/portfolio-item/D7187118419/ School of Manufacturing Engineering, Universiti Malaysia Perlis, Pauh Putra Campus, 02600, Arau, Perlis, Malaysia. Nor Atika ROSMAN* Suhaimi ILLIAS School of Manufacturing Engineering, Universiti Malaysia Perlis, Pauh Putra Campus, 02600, Arau, Perlis, Malaysia. Suhaila HUSSAIN School of Manufacturing Engineering, Universiti Malaysia Perlis, Pauh Putra Campus, 02600, Arau, Perlis, Malaysia. Mohamad Shaiful Ashrul ISHAK School of Manufacturing Engineering, Universiti Malaysia Perlis, Pauh Putra Campus, 02600, Arau, Perlis, Malaysia. Mohd Nazri OMAR School of Manufacturing Engineering, Universiti Malaysia Perlis, Pauh Putra Campus, 02600, Arau, Perlis, Malaysia. The objective of this paper is to investigate the droplet evaporation lifetime and boiling curve on hot copper surface using ethanol liquid. We focus our study to find the Critical Heat Flux (CHF) and Leidenfrost temperature in the boiling curve. Copper material which has a high thermal conductivity, k was chosen as a test material. The copper material dimension was approximately 28.0 mm in height and 50.0 mm in diameter. The copper surface was modified into hemispherical surface in order to maximize the evaporation lifetime. The hemispherical surface was constructed using Electrical Discharge Machining (EDM). After completing the EDM process, the dimension of the hemispherical surface area was approximately 15.0 mm in depth and 30.0 mm in diameter. Meanwhile, ethanol liquid which has a low boiling point of 78 °C was chosen as a test fluid. The droplet diameter was approximately 3.628 mm. The impact height was set to be around 4.0 mm corresponding to drop impact velocity of 0.886 m/s. As a result, it was found that the critical heat flux (CHF) and Leidenfrost temperature range on hemispherical copper surface was approximately TCHF = 100.4-117.7 °C and TL = 170.0-175.8 °C, respectively. 11 30 2019 8589 8592 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7189.118419 https://www.ijrte.org/portfolio-item/D7189118419/ department of Computer Technology, Madras Institute of Technology – Anna University, Chennai, India. Khiruparaj T.P*. Abishek Madhu department of Computer Technology, Madras Institute of Technology – Anna University, Chennai, India. Ponsy R.K. Sathia Bhama Associate Professor in the department of Computer Technology, Madras Institute of Technology – Anna University, Chennai, India Cloud Computing is mainly attracted by people for its unlimited storage space and worldwide accessibility from anywhere and anytime. The data that is stored in the cloud has to be retrieved in a faster manner as well as without any faults. Content Delivery Networks dominates Cyberspace traffic heavily due to its increasing demand. Resource allocation plays a vital role in determining the performance of the cloud. Over allocation leads to wastage which can be used for instances that are running short of resources. This work proposes an optimal resource allocation through Genetic algorithm. They help in increasing the download speed which in turn would be helpful in controlling traffic to greater extent. Recently cloud downloading Services have been emerged, in which cloud storage hoards the user interested content and updates the cloud cache. This process takes place in two modes, server mode and the helper mode. The proposed Resource Allocation Policy can well support the server mode of processing by the way it can increment the download speed with dynamic load balancing and fault tolerance. 11 30 2019 2565 2571 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7190.118419 https://www.ijrte.org/portfolio-item/D7190118419/ Department of Mathematics, AMET Deemed to be University, Kanathur, Chennai, Tamil Nadu, India S. Thamizh Suganya* P. Balaganesan Department of Mathematics, AMET Deemed to be University, Kanathur, Chennai, Tamil Nadu, India L. Rajendran Department of Mathematics, AMET Deemed to be University, Kanathur, Chennai, Tamil Nadu, India Mathematical modeling of Microbial Fuel Cell (MFC), which accounts for the co-existence of methanogenic and anodophilic microbial populations for different operating modes and reactor configurations, is discussed. This model based on the system of non-linear rate equations, where the non-linear term is related to the rate of the reactions. The system of non-linear equations is solved by using homotopy perturbation method. In this paper closed form of analytical expression of the concentration of substrate, anodophilic, methanogenic, and the mediator is derived. The analytical expressions are compared with simulation results for the experimental values of parameters, and satisfactory agreement is noted. The influence of parameters on the concentration profiles are discussed. 11 30 2019 5634 5640 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7191.118419 https://www.ijrte.org/portfolio-item/D7191118419/ Ph.D. Research Scholar, CSE, IKGPTU, Kapurthala, India. Sachin Lalar* Shashi Bhushan Professor, I.T., CGC, Landran, Punjab, India. Surender A.P. Computer Appl GTB, Bhawanigarh, India. Wireless sensor networks have a lot of sensor nodes that are small, cheap and resource-constraints, but are often used to perform various monitoring operations in unmanned and demanding environments. Networks are vulnerable to different application-based and application-independent attacks. We examine node replication attacks, which are typical threats in the sensor network. In this attack, the enemy generates its own sensor node using stealing sensor from network. The attacker physically occupies the node, takes his secret credentials, and duplicates a large number of nodes with some controlled counterparts. The defense against clone node attacks has become an important research element in the safety of the sensor network. In this study, we classify and examine the different proposals in each category. We also compare the memory and communication cost of different clone node detection approach. 11 30 2019 2440 2448 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7192.118419 https://www.ijrte.org/portfolio-item/D7192118419/ Assistant Professor, Electrical and Electronics Engineering, Mepco Schlenk Engineering College, Sivakasi, Tamilnadu, India. R. Bhavani* Dr.S. Ananthakumaran Associate Professor, Department of Computer Science and Engineering,, Koneru Lakshmaiah Educational Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India. K.Mohideen Pitchai Assistant Professor, Department of Computer Science and Engineering National Engineering College, Kovilpatti, Tamilnadu, India. Wireless Body Area Network (WBAN) is the most important recent trending approaches to provide Medical care for patients through remote monitoring and data collection using body sensors. It's a well-known system offering a high standard of security and also privacy. Therefore, it provides us a very big interest for discussing the issues of privacy and security in WBAN. In this paper, the architecture of WBAN communication network, various safety threats and it’s measures, several types of research methodologies to secure health records and research issues are reviewed on the basis of various secure routing protocols of recent publications. Also, this paper tabulated the detailed comparison study of analysis of security requirements, resistance to various attacks, computing costs during authentication and running time between the application provider and the customer. At last, open fields are investigated for future research. 11 30 2019 4627 4634 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7193.118419 https://www.ijrte.org/portfolio-item/D7193118419/ Computer Science Department, Bina Nusantara University, BINUS Graduate Program-Master in Computer Science, Jakarta, 10480, Indonesia Antoni Wibowo* Filbert Ivander Computer Science Department, Bina Nusantara University, BINUS Graduate Program-Master in Computer Science, Jakarta, 10480, Indonesia. A laboratory needs at least one technician to maintain the laboratory’s activity every day. The technicians should prevent any technical interference in a daily learning activity. The technicians must be placed in a different lab the next day to check the work of the technician previously. This scheduling model has assigned 4 technicians into 3 laboratories in a month. We proposed a mathematical model for multi-objective optimization of laboratory technicians scheduling since it has many objective functions such as avoid collisions, workload balancing of technicians, and works distribution in the laboratories. We presented a Binary Genetic Algorithm to find the best technicians scheduling that can be used to support daily operations. As a result, we noticed that Binary GA could effectively be used in daily operational since the computing time was relatively short in finding the best laboratory technicians scheduling. From ten times of testing, the best solution needs 285.406s to calculate with the minimum function value is 2. 11 30 2019 1349 1356 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7204.118419 https://www.ijrte.org/portfolio-item/D7204118419/ Graduate Program, Master of Information Technology, Bina Nusantara University, Jl KH Syahdan 9, Jakarta 11480, Indonesia Nanda Adytiansyah* Antoni Wibowo Graduate Program, Master of Information Technology, Bina Nusantara University, Jl KH Syahdan 9, Jakarta 11480, Indonesia Nowadays, the development of ICT devices is growing very rapidly. Many companies and governments invest a lot of funds on the ICT side to optimize and cut operational costs as effectively and efficiently as possible. This paper discussed the issue of the maintenance of ICT equipment in the Indonesian constitutional court which is spread in 42 locations throughout Indonesia. The current problem is that there is no maintenance of ICT in the Constitutional Court of the Republic of Indonesia in 42 cities throughout Indonesia, so it is difficult to overcome the technical problems that occur. In this paper, Six sigma is combined with several decision-making methods to minimize technical disturbances in the ICT device to the right selection of vendors to carry out the ICT maintenance. The proposed method that we did to optimize maintenance services using a hybrid DMAIC six sigma which then improved the quality of analysis using brainstorming and decision making on the best vendors using AHP. The hybrid of six sigma is very instrumental in reducing the weakness of six sigma which forces the process of monitoring diligently and continuously. This research yielded better service quality compared to the current system for maintenance ICT at the Indonesian Constitutional Court. 11 30 2019 2976 2985 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7205.118419 https://www.ijrte.org/portfolio-item/D7205118419/ Associate Professor, Civil Engineering Department, ITER, SOA Deemed to be University, Bhubaneswar, India. Bidyadhar Basa* Soumya Sucharita Pal M.Tech. Scholar, Civil Engineering Department, ITER, SOA Deemed to be University, Bhubaneswar, India. Mistee Pradhan M.Tech. Scholar, Civil Engineering Department, ITER, SOA Deemed to be University, Bhubaneswar, India. The instability behaviour of a woven fibre composite plate in respect of its free vibration and buckling analysis has been presented in this paper. The woven fibre composite plate has been prepared by hand layup with bidirectional woven glass fibres in epoxy matrix. The mechanical properties of the woven fibre composite plate have been characterised experimentally and a finite element investigation has been done for the instability analysis. Modal response of the plate and the critical buckling load leading to instability of the plate to varying parameters are studied and numerical results have been presented. 11 30 2019 2449 2453 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7206.118419 https://www.ijrte.org/portfolio-item/D7206118419/ Assistant Professor, Department of commerce, St. Joseph’s College of Arts &Science (Autonomous),Cuddalore-1.Tamilnadu, India. Dr. L. vijayakumar* "Transgender" is a word that is gotten from the Latin word "Transgenre", which is a general term applied to an assortment of people, practices and gatherings including propensities to differ from socially traditional sex jobs. Transgender is the condition of one's personality which doesn't coordinate one's "doled out sex". Sex alludes to the stage of attributes, viewpoint and jobs ordinarily connected with natural sex – regularly set on a range among manly and female. However, a blend of these two sexual orientations in an individual will completely separate from a typical man. They are called Transgenders. They are the littlest gathering having the biggest hazard. The level of hazard begins from the very premise of life. To be very completely clear, when each person after a point of time searches for the future vocation and prospects of life, it is as of now that these individuals are in genuine pursuit of their own sexual orientation personality to comprehend what their identity is. Enterprising soul is portrayed by advancement and hazard taking. The present examination is led with the mean to engage the lives of Transgender people group. This article looks at on the variables that drove the transgender to be a business visionary. 11 30 2019 2572 2575 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7207.118419 https://www.ijrte.org/portfolio-item/D7207118419/ Assistant, Professor, Department of Computer Science and Applications, Maharshi Dayanand University, Rohtak, India. Sandeep Dalal* Vandna Dahiya Phd Research Scholar, Department of Computer Science and Applications, Maharshi Dayanand University, Rohtak, India. Pattern mining is a technique, which discovers interesting, hidden, unpredicted and useful patterns of data from the database. Most of the research work in pattern mining has been focused on the traditional way of Frequent Itemset Mining (FIM) and Association Rule Mining (ARM) for pattern-discovery. Patterns in frequent itemset mining are based on the occurrence frequency of items. Although frequent pattern mining is useful, the assumption that ‘frequent patterns are interesting,’ doesn’t hold for numerous applications. High Utility Itemset Mining (UIM) overcomes this limitation of frequent itemset mining. The aim of HUIM is to find the patterns based on a utility function where the utility can be measured in terms of revenue, profit, weight, frequency, interestingness or time spent on some webpage, etc. Mining patterns with high utility can be seen as a generalization of FIM where the transaction database is the input and every item is having a utility factor representing its importance and might have non-binary quantities in the transactions. This paper surveys various recent advances and research opportunities in the field of high utility itemset mining. 11 30 2019 2455 2461 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7213.118419 https://www.ijrte.org/portfolio-item/D7213118419/ Computer Science Department, BINUS Graduate Program - Master of Computer Science, Bina Nusantara University, Jakarta, Indonesia Steve Michael* Amalia Zahra Computer Science Department, BINUS Graduate Program - Master of Computer Science, Bina Nusantara University, Jakarta, Indonesia This paper takes focus on the area of automatic sarcasm detection. Automatic sarcasm detection is crucial due to the needs of sentimental analysis. The rapid development of automatic speech recognition and text mining and the large amount of voice and text data opens a broader way for researchers to open new method and improves the accuracy of automatic sarcasm detection. We observe approaches that have been used to detect sarcasm, kind of data and its features including the rises of context to improve the accuracy of automatic sarcasm detection. We found that some context cannot be reliable without the presence of other context and some approaches are very dependent on the dataset. Twitter is being used by researchers as the main mine for sentimental analysis, we notice that at some aspect it still has a flaw because it is dependent to some Twitter’s special feature that will not be found in other usual text data like hashtags and author history. Besides that, we see that the small amount of research about automatic sarcasm detection through acoustic data and its correlation with textual data could make a new opportunity in the area of sarcasm detection in speech. From acoustic data, we could get both acoustic features and textual features. Sarcasm detection with voice has the potential to get higher accuracy since it can be extracted into two data types. By describing each beneficial method, this paper could be a brief way to sarcasm detection through acoustic and textual data. 11 30 2019 1357 1360 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7215.118419 https://www.ijrte.org/portfolio-item/D7215118419/ Department of Law and European Integration, Dnipropetrovsk Regional Institute for Public Administration, National Academy for Public Administration under the President of Ukraine, Dnipro, Ukraine. Vitalii V. Bashtannyk Galyna S. Lopushnyak Personnel Management and Labour Economics Department, Personnel Management, Sociology and Psychology Faculty, Kyiv National Economic University named after Vadym Hetman, Kyiv Ukraine Tetiana V. Bielska Department of Management and Public Administration, O. M. Beketov National University of Urban Economy in Kharkiv, Kharkiv, Ukraine Petro F. Nemesh Department of Civil Law and Civil Procedure, Uzhhorod National University, Uzhhorod, Ukraine Yuliia Muzyka Department of Economics, Entrepreneurship and Natural Sciences, Educational-Scientific Institute of Management, Economics and Nature Management, Taurida National University named after V. I. Vernadsky, Kyiv, Ukraine The scientific novelty of the article is a developed methodology of the world countries' classification regarding the quality of economic security management and the possibility to develop an exclusive set of actions directed towards optimization of such management. It has been proved using an example of Ukraine. The research methodology is based on systematic and historical approaches to the disclosure and resolution of the issues of economic security management in economically developed countries of Europe and European countries that develop their own economic systems, taking into account the processes of globalization and ensuring their sustainable development. In this case, the historical approach is based on the study undertaken during a certain period of time (2012-2018), and the systematic approach is aimed at the assumption of connection and mutual influence of economic security of different European countries, which operates as a single system. To conduct the research data and empiric analysis of seventeen countries of Western (Germany, France, Great Britain, Spain, Italy), Eastern (the Russian Federation, Latvia, Lithuania, and Estonia), and Central Europe (the Czech Republic, Bulgaria, Hungary, Poland, Slovakia, Romania, and Ukraine) in 2016 – 2018 have been taken and analyzed. Policy considerations: -economic security is the main element of the countries’ national security provision under globalization and their stable development; - the required level of economic security can be reached only within management based on a set of key determinants; - economic security management varies significantly in different world countries in conditions of their operation as parts of the world economic system; - some world countries, which are developing their own economic systems, for example Ukraine, have special problems in economic security management at the national level; and they need development and implementation of exclusive optimization sets of such state institutes’ management activities. 11 30 2019 5641 5652 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7216.118419 https://www.ijrte.org/portfolio-item/D7216118419/ PhD Research Scholar, Business Management Department, Chandigarh University, Gharuan, Mohali (Punjab), India Bharti Sharma* Dr. Rakhi Arora Assistant Professor, Business Management Department, Chandigarh University, Gharuan, Mohali (Punjab), India. The strength of a nation’s economy depends upon the system of taxation which If taken correct approaches, can keeps revenue consistent, stimulates industrial activity and manages growth in our economy. The Indian government has made an ambitious shift by introducing Goods and Services Tax (GST) tax policies. The strategy is to present modern, transparent and technology-driven indirect tax system. The new tax system aimed to sharpen the competitive edge of a 230 crores ($2.3 Trillian) Indian economy driven by internal trade restrictions and a raft of central, state and local taxes. After two years of its introduction, the new system is yet to settle down and being considered puzzling on many dimensions. Even after proper beginning, the GST registration system is facing barriers relevant to documentation, technology, stakeholder willingness, etc. This paper aimed to rank the potential impediments to GST registration of restaurants in Hyderabad. The outcome of this paper will help new registration seeks to understand new taxes system in general and will intimate the ground reality to authorities responsible for its successful implementation. This paper presents a case study of the issues faced by the restaurants in Hyderabad during GST registration in these two years of implementation. Solutions to these issues have been proposed in this paper, which may be helpful for the new entrepreneurs to register on GST portal. 11 30 2019 1361 1369 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7217.118419 https://www.ijrte.org/portfolio-item/D7217118419/ Assistant Professor, Department of English, Koneru Lakshmaiah Education Foundation, Dr. Shreeja Ghanta* The paper presents how reading skills and vocabulary can be improved through the approach of task based learning. As a result of which multiple activities are presented in order to enhance vocabulary. The paper also foregrounds of how student’s inclination towards reading can be intensified through the activities. 11 30 2019 520 521 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7218.118419 https://www.ijrte.org/portfolio-item/D7218118419/ Civil Engineering department (GRIET), Hyderabad,India Dr. N. Sanjeev Katta Manoj Structural Engineering GRIET, India T. Sampath Kumar Reddy Structural Engineering GRIET, India T. Sairam Department of Civil Engineering GRIET Hyderabad, India Due to urbanization and population growth, the Construction industry is increasing rapidly over a few decades at the same time leads to increase in global warming too. In the construction, the main ingredient, Concrete which contains large amount as cement which act as a binder and Natural sand(River sand) as fine aggregate .During the cement production large co2 emits, which is mainly responsible for global warming as well as natural sand leads to Environmental degradation. So, in order to minimize this phenomenon's as well as to enhance advancements in construction industry an attempt is made in this research work to replace the cement partially with supplementary materials known as mineral admixtures. The mineral admixtures such as Fly ash, Ground granulated blast furnace slag (GGBS) and Metakaolin which are by products of industries which usage in concrete as cement replacer decrease the co2 emissions as well as disposal problems of industries and replacing natural sand with M-sand Strength as well as durability properties of FRC (@1% steel fiber by weight of binder) made with 100% OPC with different water binder ratios and concrete grades M25 and M40 were found. And then FRC made with OPC and mineral admixtures up to 45% with fly ash, Metakaolin and GGBS in different combinations were tested for strength and subjected to durability tests. For comparison durability and strengths were performed on M40 grade mix without fibres. It is observed during the analysis of tests FRC with mineral admixtures has performed better than that of FRC made with 100% OPC. 11 30 2019 522 526 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7224.118419 https://www.ijrte.org/portfolio-item/D7224118419/ Research Scholar, Department of CIS, Annamalai University. Chidambaram E Karthikeyan* Dr. S. Venkatakrishnan Assistant Professor & Dy Co-Ordinator, Engineering Wing, DDE, Annamalai University. Chidambaram. Early detection of breast cancer is believed to enhance the chance of survival. Mammography is the best available breast imaging technique at present which uses low-dose x-rays for detecting the breast cancer early before the symptoms are experienced. The most commonly present abnormalities in mammograms that may indicate the breast malignancy are masses and microcalcifications. The prime objective of this research is to increase the diagnostic accuracy of the detection of breast cancer malignancy in Computer Aided Diagnosis (CAD) systems by developing image processing algorithms and to categorize the women into different risk groups. The evaluation of SVM classifier has been considered. Initially, tumors have been detected from mammograms with the aid of morphological processing of breast images. Then classification is done by SVM classifier using the most dominant features namely GLRLM and Difference of Gaussian (DoG) features, which have been extracted from the selected region. The algorithm has achieved an accuracy of 89.11% using SVM classifier. 11 30 2019 527 529 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7227.118419 https://www.ijrte.org/portfolio-item/D7227118419/ Dept. of Computer Science and Engineering, MIT, Meerut, UP, INDIA Suraj Malik Dr.Paramjeet Rawat Professor, Computer Science & Engineering Department, IIMT University, Meerut, U.P. Rakesh Kumar Singh Dept. of Computer Science and Engineering, MMT University, Gorakhpur, UP, INDIA Wireless Mesh Network (WMN) is a convincing theme to many net researchist because of its minimal effort in sending, straightforwardness in the establishment and heartiness in activity. Notwithstanding, current routing protocols intended for MANET, can't work productively in WMN on the grounds that spine in WMN shaped by Mesh Router has low portability and are not put under power and memory duress. In this paper, we are coming with a new idea of routing using geographic multipath, which will be beneficial for an Infrastructural WMNetwork and also don't depend on node's location. The proposed protocols has awareness, about the node's congestion and the node's location of all next neighbors, and utilize Hop-Count array technique. Furthermore, with help of a procedure of congestion-cognizant, nodes can select the perfect connection with adequate bandwidth for the requirement of comer traffic. In the proposed protocol for routing we accomplish various remarkable characteristics of Hop-count array (metric) depend on routing algorithm: straightforwardness, durability and feasibility of affectation. Results demonstrate that throughput increments extraordinarily with our proposed protocol when contrasted with unadulterated AODV and AOMDVin heavily loaded traffic situation. 11 30 2019 530 535 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7230.118419 https://www.ijrte.org/portfolio-item/D7230118419/ Research Scholar, Faculty of Management sciences, Siksha O Anusandhan(Deemed to be University), Bhubaneswar. India.. Sandeep Mohapatra Manoranjan Dash* Associate Professor, Faculty of Management sciences, Siksha o Anusandhan(Deemed to be University), Bhubaneswar. India.. The research focuses on 4G adoption scenario and revealing the important determinants that influence consumer’s decision regarding adopting 4G services in India. The determinants used in this research are Perceived Cos(PC), Perceived ease of use(PEOU), Social influence(SI), Self-efficacy(SE) and Perceived usefulness(PU). The study extended the TAM model by considering the other variables .371 respondents was chosen for the study using 4G telecom services in India. Hypothesis were tested using Structural Equation modeling (SEM). PUand SE are the significant determinants of 4G adoption. Many countries are formulating their marketing strategy regarding technology adoption and the model tested in the research plays has a practical implication in helping the stakeholders in the present revolution in the telecom sector. 11 30 2019 2576 2579 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7231.118419 https://www.ijrte.org/portfolio-item/D7231118419/