-4d90550d17f4602e089-1b99 20220519073413458 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 Computer Science and Engineering, GMR Institute of Technology, Rajam, Andhra Pradesh, India Sasanko Sekhar Gantayat* Bichitrananda Patra* Department of Computer Science and Engineering, Siksha O Anusandhan (Deemed to be) University, Bhubaneswar, Odisha, India, Niranjan Panda Department of Computer Science and Engineering, Siksha O Anusandhan (Deemed to be) University, Bhubaneswar, Odisha, India, Manoranjan Parhi Department of Computer Science and Engineering, Siksha O Anusandhan (Deemed to be) University, Bhubaneswar, Odisha, India, Privacy-Preserving-Data-Mining (PPDM) is a novel study which goals to protect the secretive evidence also circumvent the revelation of the evidence through the records reproducing progression. This paper focused on the privacy preserving on vertical separated databases. The designed methodology for the subcontracted databases allows multiple data viewers besides vendors proficiently to their records securely without conceding the secrecy of the data. Privacy Preserving Association Rule-Mining (PPARM) is one method, which objects to pelt sensitivity of the association imperative. A new efficient approach lives the benefit since the strange optimizations algorithms for the delicate association rule hiding. It is required to get leak less information of the raw data. The evaluation of the efficient of the proposed method can be conducting on some experiments on different databases. Based on the above optimization algorithm, the modified algorithm is to optimize the association rules on vertically and horizontally separated database and studied their performance. 11 30 2019 11893 11899 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9701.118419 https://www.ijrte.org/portfolio-item/D9701118419/ Principal, Mata Sundri College, University of Delhi, Delhi, India, Prof. (Dr.) Harpreet Kaur Ushveen Kaur* Assistant Professor, Dept. of Computer Sc, Sri Guru Gobind Singh College of Commerce, University of Delhi, Delhi, India, Information and Communication Tools (ICT) are a prerequisite these days for ensuring better governance and administration. It not only improves the quality of administration but also facilitates procedures by making it more efficient and user-friendly. Government of India (GOI) has proposed many schemes under the Digital India umbrella; and DigiLocker is one of the flagship schemes initiated to bring a total digital change in the life of citizens of India especially the young citizens who are the future of India. The scheme has an inherent potential to give an opportunity to a large section of population with a paradigm shift for ushering in e-governance. DigiLocker, the Indian Digital Locker, allows an individual to save online and digitally share the documents issued by any government department, educational institute, transport department and other agencies. This research paper empirically calculates if the usage of DigiLocker is dependent on Gender (Male/Female), school background (Private/Government), area in which their college is, type of course (Undergraduate/Professional/Engineering) they are pursuing, year in which they studying (I/ II/ III/ IV year) of the course they are pursuing. The paper further analyzes the documents undergraduate college and engineering students maintain in their DigiLocker, whether DigiLocker documents are accepted in various undergraduate Institutes, if the students find DigiLocker secure or not, and the ease of use of digilocker. And finally, a few suggestions are made to make DigiLocker more usable among the young students that would have a marked change in digitalization scenario of India. 11 30 2019 11665 11670 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9707.118419 https://www.ijrte.org/portfolio-item/D9707118419/ Research Scholar Department of Computer Science and Engineering. Dr. M.G.R. Educational and Research Institute,Chennai 600095, Tamil Nadu, India. K Amandeep Singh* T. V. Ananthan Professor, Department of Computer Science and Engineering. Dr. M.G.R. Educational and Research Institute, Chennai 600095, Tamil Nadu, India. Risk management is an important part of the development cycles for high quality applications. Most specific threats are incidents that may adversely affect the plan or organizational climate growth. The major risk factors contains time, budget and resources can affect adversely by events. Important considerations such as plan, time and cost are generally impacted. Essentially, risk assessment includes recognizing, assessing, preparing and monitoring incidents that affect the atmosphere of the project. Risk is the danger of volatility, lack of knowledge regarding events, activities and lack of appropriate technologies for managing measures and activities. Therefore, both exogenous and endogenous influences contribute in the venture risks and uncertainties. The high task failure rates due to poor planning of project which can limit the teams and future wealth creation, while project managers should allow for the plan being to anticipate potential risks when preparing their project achievements based on their own past experiences. This paper addresses the Supervised Learning mechanism with multi-label Support Vector Classifier (SVC) to predict the project risks and apply Genetic algorithm for providing avoidance action as recommendation. 11 30 2019 11900 11904 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9712.118419 https://www.ijrte.org/portfolio-item/D9712118419/ Department of Management, Nusa Putra University, Sukabumi, Indonesia. Yusuf Iskandar* Nimmi Zulbainarni School of Business, IPB University, Bogor, Indonesia. Siti Jahroh School of Business, IPB University, Bogor, Indonesia. The purpose of this research is to develop strategies to enhance the performance of MSMEs in the fisheries processing industry in Sukabumi Regency. The data used in the study were obtained from the result of interviews using questionnaires. This research used descriptive analysis, internal-external matrix analysis, IE matrix analysis, SWOT matrix, and QSPM analysis. The research findings obtained from internal and external factor evaluation using the IFE dan EFE matrix found that the industry has a rating of 2.775 and 3.225. The industry’s position is in quadrant II of the IE matrix, which is in the ‘intensive’ and ‘integration’ area. Based on the results of the SWOT analysis and QSPM analysis, four strategies can be carried out. The strategies obtained are expected to be able to answer all existing problems and be able to develop the fisheries processing industry MSMEs in Sukabumi Regency. 11 30 2019 11905 11908 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9737.118419 https://www.ijrte.org/portfolio-item/D9737118419/ School of Mechanical Engineering, KIIT University, Bhubaneswar, India Bharat Chandra Routara* Basanta Kumar Nanda School of Mechanical Engineering, KIIT University, Bhubaneswar, India. Diptikanta Das School of Mechanical Engineering, KIIT University, Bhubaneswar, India Mantra Prasad Satpathy School of Mechanical Engineering, KIIT University, Bhubaneswar, India Shubham S. Singh School of Mechanical Engineering, KIIT University, Bhubaneswar, India In the present study, the machining of Al7075-T6 has been carried out in Electro-discharge machining(EDM) process. Taguchi L9 orthogonal array is used to conduct the experiments with three levels of process parameters.The effect of process parameter like spark gap and pulse off time on the machining performances have been analyzed. The machining performances such as material removal rate (MRR) and tool wear rate (TWR) have been analyzed for both the stationary and rotary tool EDM. Moreover, surface morphology has been studied in both the machining environment. It has been found that MRR is more in the case of rotary tool EDM as compared to stationary tool EDM. 11 30 2019 10100 10104 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9745.118419 https://www.ijrte.org/portfolio-item/D9745118419/ MBA degree from Regional College of Management, Bhubaneswar, Odisha, India. Anuradha Chavali Vijayalaxmi Biradar B.E (E&CE) degree from GNDEC, Visveswaraiah Technological University, Belgaum, and Karnataka, India The advent of liberalisation, privatisation and globalisation has made it indispensable for the organizations to focus on using their human resources in a way that would be in the best interest of the individual as well as the organization. One such issue that is seriously being looked into by the organizations to steer through the cut-throat competition is the levels of engagement of the employees and the way elevated engagement levels contribute towards the increased organization commitment. The same holds true for educational institutions as well. The educational institutions in any country have a societal responsibility along with the responsibility of creating young intellectual minds capable of contributing towards economic growth and development. This research paper aims at investigating into the relationship of engagement of employee with commitment as is measured from three dimensions namely-commitment towards the organization, commitment towards teaching and commitment towards the workgroup they are associated with. The current research focuses on the teachers of 10 engineering colleges in Hyderabad, Telangana State. Employee engagement was taken to be the independent variable and employee commitment is taken to be the dependent variable. The researcher made use of descriptive research design and a structured questionnaire was administered to 250 teachers of the above said engineering colleges. Chi-square tests were used to examine the association between the variables in question and T-test and F-test and MANOVA were resorted to for examining the extent of relationship between engagement and various dimensions of commitment. The research findings indicate notable association between gender, marital status and present experience on employee engagement. However, it is found that there is no association between the level of functioning and engagement and commitment of teachers. The output of MANOVA indicate a positive connection between engagement and commitment of teachers in the educational institutions. 11 30 2019 11671 11681 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9749.118419 https://www.ijrte.org/portfolio-item/D9749118419/ Department of Electronics and Communication Engineering, Rajalakshmi Institute of Technology, Chennai, India. Maheswaran U* Vengadapathiraj M Department of Electronics and Communication Engineering, Rajalakshmi Institute of Technology, Chennai, India. Manimaran B Department of Electrical and Electronics Engineering, Rajalakshmi Institute of Technology, Chennai, India. Aruna Jayashree R Department of Electronics and Communication Engineering, Rajalakshmi Institute of Technology, Chennai, India. In this work, a procedure to remove the high density salt and pepper noise from a corrupted image is developed and to compare the output image with the original image through the image quality metrics. As a common practice the corrupted pixels are replaced by the median of neighboring pixel values by considering a constant number of neighboring pixels. But in this proposed method the corrupted pixels are identified and are replaced by the median of the neighboring pixel values which are adjustable, to preserve and improve the image quality metrics. This method makes a comparison between the corrupted and uncorrupted pixels and performs the median filtering process only on the corrupted ones. In this work a 3x3, 5x5 and 7x7 square neighborhood are used. The output images are observed with low neighborhood as well as high neighborhood pixel values. The calculation of PSNR (Peak Signal to Noise Ratio) and MSE (Mean square error) value for each dimension with different percentages are considered for the comparative analysis. 11 30 2019 11909 11914 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9763.118419 https://www.ijrte.org/portfolio-item/D9763118419/ Department of Computer Science and Engineering, JNTUH College of Engineering Hyderabad, Hyderabad, India. Hemalatha Eedi* Exact identification of pulmonary nodules with high sensitivity and specificity is basic for programmed lung malignancy analysis from CT scans. In fact, many deep learning-based algorithms gain incredible ground for improving the exactness of nodule recognition; the high false positive rate is yet a difficult issue which restricted the programmed determination. We propose a novel customized Deep Convolutional Neural Network (DCNN) architecture for learning high-level image representation to achieve high classification accuracy with low variance in medical image binary classification tasks. Moreover, a High Sensitivity and Specificity system is introduced to eliminate the erroneously recognized nodule competitors by following the appearance changes in consistent CT slices of every nodule. The proposed structure is assessed on the open Kaggle Data Science Bowl (KDSB17) challenge dataset. Our strategy can precisely distinguish lung nodules at high sensitivity and specificity and accomplishes 95 % sensitivity. 11 30 2019 10105 10109 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9764.118419 https://www.ijrte.org/portfolio-item/D9764118419/ Assistant Professor in Indira College of Commerce and Science , Pune ,India. Vijaya Kumbhar* Ajay H. Kumar Research Guide in Computer Science Department, SavitribaiPhule Pune University Cloud Computing is the most adoptable technology in use recently where bigger and complex applications are deployed and used on cloud server. Multi scaled applications are such applications which have multiple attributes (data size, number of requests, number of concurrent users etc.) that can cause to poor performance of its application service. For better performance, it needs to be measured, analyzed and optimized using tools, strategies or algorithms. The multi scale application’s performance is measured at end user level, network level and data center level. In this paper, the focus is measuring the performance of multi scale applications in terms of response time and throughput using CloudAnalyst simulator. Multiple scenarioslike varying data size,varying number of concurrent users and varying number of requests are simulated for multiscale application and tested.The results obtained shown that response time and throughput of application gets reflected mostly by Data Size, number of requests per user and number of concurrent users. It is also observed that the most significant factor is data size along with huge volume of concurrent users, impacts the response time of multi scale application.Hench this research recommends that multi scale data I.e. data type and data size plays vital role in cloud based multi scale application’s performance measurement. 11 30 2019 11915 11921 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9765.118419 https://www.ijrte.org/portfolio-item/D9765118419/ Faculty, Department of Commerce, St. Marys College, Yousufguda,, Hyderabad, India. Vunnava Amulya* Perepu Raga Sruthi Bachelors in Commerce, specializing in Computers from St. Marys College, Yousufugda, Hyderabd. The emergence of Digital India reforms has led to the growth of Digital Payment apps. In order to get business opportunities, many organizations started focusing on the development of flawless payment apps. But, to sustain in the market, it is evident for an organization to understand the challenges involved such as, existing cut-through competition, awareness amongst public about digital transaction, and other technical challenges like, security concerns, etc. Apart from these challenges, an organization has to understand the perceptions of users towards their business. The current Study focuses on a new Payment application i.e., WhatsApp Pay, wherein the characteristics of active users’ characteristics and perceptions differentiate adoption of WhatsApp Pay App to non-adoption of WhatsApp Pay in India has been analyzed. Since the company is one of the social media networking company entering into a new business. To analyze these facts, a primary data has been collected wherein youth across Hyderabad and Secunderabad were considered. The factors which effect the perception of users were Awareness and issues with regards to the Data Compliance techniques involved with regards to WhatsApp pay were considered. To analyze these, average response analysis has been applied. The study resulted that there is no significant impact on the awareness created and their perception towards WhatsApp Pay. The study also resulted that there is an impact on the data compliance issues which WhatsApp Pay had to come across in India. 11 30 2019 11922 11926 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9781.118419 https://www.ijrte.org/portfolio-item/D9781118419/ Ph.D. Research Scholar, MNNIT Allahabad Utkarsh Kumar Verma Dr. Ravindra Tripathi Associate Professor, MNNIT Allahabad Ananta Narayana Ph.D. Research Scholar, MNNIT Allahabad Workplace Deviance defined as a planned, purposeful, and hateful attempt to disrupt an organization by causing problems in the workplace. Workplace Deviance splits into two parts i, e Interpersonal Deviance (ID), and Organizational Deviance (OD), respectively. ID is that which attempts to harm relationships through activities like lying, gossiping, and apportioning blame, and OD relates to lateness or theft of equipment. The present aim of the study is to observe vast literature existing online databases globally in the workplace deviance by systematically analyzing the empirical studies of the last 30 years. In India, minimal research has done in the area of deviant behavior. The purpose of the present study has tried to is a significant amount for organizations. Vast research is going on in the American continent to find out workplace deviance antecedent and try to minimize the effect at an organizational level. The method used in the present paper is constructed on secondary sources, and with the help of the VOS software online database of a web of science, a systematic review of workplace deviance has done and framed a conceptual model for further empirical research. After a comprehensive study researcher identified various antecedents of workplace deviance, such as job satisfaction, organizational justice, job design, and abusive supervision, are the main variables often used by researchers? Previous research has done on destructive deviance instead of constructive deviance. In recent trends, counterproductive behavior and psychological factor needed to study This study shows that organizations should discourage deviant workplace behavior by providing ethical organizational climate and practicing conducting proper counseling, refresher program for employees; also, an organization should form a personality assessment program at regular intervals to avoid individuals with negativity personality characteristics. In this context, relatively few studies have presented a thorough review of the literature. The current study frames a robust conceptual framework for the investigators and researchers by examining the vast essay on workplace deviance in Indian organizations. 11 30 2019 12355 12364 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9784.118419 https://www.ijrte.org/portfolio-item/D9784118419/ Dept of Information Technology, Bishop Heber College, Tiruchirappalli, Tamil Nadu, India, Dr.J.Sai Geetha* The digital computing infrastructure is rapidly moving towards cloud based architecture. The protection of data is becoming a difficult task in the current scenario as more and more confidential and sensitive data is stored in cloud environment and transmitted between cloud users. In a cloud computing environment, the entire data reside over a set of networked resources of remote servers and locations. These data has been accessed by unauthorized cloud users through virtual machines. To provide additional level of cloud data security, Biometric based authentication with encryption using public key cryptography is proposed in this paper. The proposed model Authentication Based Encryption (ABE) helps to enhance the security of data as well as the authentication of cloud user. The sensitive data is initially encrypted and then stored secretly with biometric finger print image. The resultant image is transmitted through the in-secured channel. However to avoid unauthorized access, the image is decomposed and stored in cloud separately as encrypted message and finger print. Before beginning the decryption process, the finger print of the cloud user is being compared with the stored image for authentication. If the match is found, the encrypted data is decrypted by the authenticated cloud user. Otherwise access to the data is denied to ensure security. Thus, the proposed framework provides an additional level of protection to public key algorithm with authentication. 11 30 2019 11927 11931 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9802.118419 https://www.ijrte.org/portfolio-item/D9802118419/ Assistant Professor, Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Deemed to be University, Green Fields, Vaddeswaram, Guntur-522 502, India. Mooli Harish* V Shnmukha Prasad* Assistant Professor, Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Deemed to be University, Green Fields, Vaddeswaram, Guntur-522 502, India. M B S Sreekara Reddy Assistant Professor, Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Deemed to be University, Green Fieleds, Vaddeswaram, Guntur-522 502, India. Koora Rajanikanth Assistant Professor, Department of Mechanical Engineering, CMR Technical Campus, Kandlykoya, Medchal, Hyderabad-501 401, India B Nageswara Rao Professor, Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Deemed to be University, Green Fields, Vaddeswaram, Guntur-522 502, India. Steels are protected against corrosion through hot-dip galvanization in which material surfaces are coated with molten zinc. Galvanized steel products are reliable in coating life and performance with lower maintenance and repair cost. Welding of such zinc coated steel sheets is of great economic importance in the automotive industries. Many researchers have utilized the S/N ratio transformation while obtaining the optimal solution of several manufacturing processes. However, the additive law in Taguchi technique estimates the deterministic output response from the mean values of the ANOVA table and unable to provide the expected range of the output response. This paper deals with optimal process parameters for achieving maximum tensile load bearing capacity of laser weld thin galvanized steel sheets utilizing the concepts of a modified Taguchi design of experiments. Excepted range of the tensile load bearing capacity is provided for the specified laser process parameters. Empirical relation is developed and validated for the tensile load bearing capacity in terms of the laser process parameters viz., laser power, welding speed and focal point position. 11 30 2019 11682 11687 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9803.118419 https://www.ijrte.org/portfolio-item/D9803118419/ Assistant Professor, Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Deemed to be University, Green Fields, Vaddeswaram, Guntur-522 502, India. V Shnmukha Prasad* Mooli Harish Assistant Professor, Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Deemed to be University, Green Fields, Vaddeswaram, Guntur-522 502, India. M B S Sreekara Reddy Assistant Professor, Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Deemed to be University, Green Fields, Vaddeswaram, Guntur-522 502, India. Koora Rajanikanth Assistant Professor, Department of Mechanical Engineering, CMR Technical Campus, Kandlykoya, Medchal, Hyderabad-501 401, India. B Nageswara Rao Professor, Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Deemed to be University, Green Fields, Vaddeswaram, Guntur-522 502, India. Dissimilar welding of Al-Cu has many potential applications in electric power, electronic and piping industries due to high corrosion resistance, heat and conducting properties. Weld joints through friction stir welding (FSW) process are free from melting- and solidification-related defects. Compared to the recently used Box–Behnken design of response surface methodology, a simple and reliable modified Taguchi design of experiments is utilized for the dissimilar welding of AA6061-T6 to Cu with Zn interlayer to obtain the optimal FSW process parameters and the expected range of strength properties. Empirical relation for the tensile strength is developed in terms of FSW process parameters (viz., tool rotation speed, tool travel speed and tool pin offset) and validated through test results. Most of the test data are within the expected range. 11 30 2019 11688 11695 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9804.118419 https://www.ijrte.org/portfolio-item/D9804118419/ Ph.D. Research Scholar, Barkatullah University Astha Singh* Workforce is the valuable asset for any organization in achieving organizational goals. In today’s era of globalization and technological innovation no organization can survive without effective HRM practices that recruit, select, train and retain the workforce of the organization. One of the important HR functions that decide the future of the organization is recruitment. In current scenario there is need to bring the change in old and traditional way of recruiting in small scale industries. Change is the part of any organization as it cannot disappear or dissipate. Managers and employees will be judged upon their abilities to manage the change effectively. The change or new ideology that can be introduced in recruitment is hiring the right person for the right job.Other factors that raises the organizational performance are remuneration. In this study researcher has used a structured questionnaire to collect the data. 211 respondents have responded to the questionnaire and SPSS (version22) is used for analysis work. 11 30 2019 11932 11938 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9831.118419 https://www.ijrte.org/portfolio-item/D9831118419/ AIIT, Amity University, Noida, (RDIAS), India. Bhajneet Kaur* Dr. Laxmi Ahuja AIIT, Amity University, Noida, India Dr. Vinay Kumar Ex Scientist & Professor, Vice Chairman (Cum Chairman Elec) CSI Delhi Chapter, CSI Delhi Chapter, India. Crimes or offences against women have their major contribution to spoil the physical and mental health of women. There are varieties of techniques and methods exists, through which crime against women can be analysed and predict for preventing and controlling it. In this paper a model has been proposed to classify and predict sexual offenders for two categories of victim namely major and minor using multiple discriminant analysis. IBM SPSS 21, statistical software has been used to build model with 85.3% of accuracy rate to classify and predict the cases. Dataset of sexual offenders has been extracted from the Chicago police portal system. After the compilation of the dataset four attributes have been used in the current analysis namely age, height, weight and victim_type. Three variables are taken as independent variables and one variable namely victim_type used as a target variable as it has two categories i.e. minor and major. All the three independent variables have their contribution in the model building but with different contribution rates. By using the standardized beta and wilk’s lambda, ranking of contribution of independent variables has been generated. Age of the sexual offenders has contributed the most to predict sexual offender. The second ranked variable found as weight, its contribution towards prediction is higher than “Height” but lower than “Age”. The variable “Height” got third rank as low predictor to predict sexual offenders for victim types. The proposed model is very effective and would be used to implement or taken the different security measures in the various public or private places to prevent and control the various kind of sexual offences. 11 30 2019 11939 11944 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9851.118419 https://www.ijrte.org/portfolio-item/D9851118419/ Research Scholar, BIT (Mesra, Ranchi), India. Sonali Mathur* Prof. (Dr.) S. L Gupta Dean, Waljat College of Applied Sciences, Sultanate of Oman. Prof. (Dr.) Payal Pahwa Principal, BPIT, Rohini, Delhi. In the modern era, technology plays a vital role by contributing in the development of business by providing various tools and techniques to enhance the business decision-making process. Data warehouse is an important entity that contributes to the decision-making process, which can be seen in the literature available over the years. Data warehouse provides the basis for quality analysis of available data by deriving accurate information from data. Like many other industries, banking sector is also facing challenges due to various reasons like large over-dues, non-performing assets, changing customer demographics, matching customer expectation levels, increased competition from financial technological companies and banking competitors, etc. Thus data warehouse system serves to be the best solution for the banks to overcome challenges as data warehouse system integrates all the data at one place and provides a consolidated view of the past transactions which can be used for report generation and performing analytical analysis in order to help the management to maximize business performance. In addition to making strategic decisions, data warehouse also assist in helping the banks to improve customer retention, optimize discounting, market segmentation, business performance, customer deposits, etc. Thus, a data warehouse system provides a solution to all data management problem and generate patterns and reports for analytical end users for enhancing decision making processes. In this research paper, we shall be representing a bank model that focuses on the loan department of a bank data warehouse and shall be explaining how business intelligence plays a role in improving the loan analysis for the banks. Loan analysis may include summarizing the classified loans, analyzing loans within and exceeding the threshold limits of Loan-To-Value (LTV) ratio, analysis of loan rejections and other analysis pertaining to loans. 11 30 2019 12365 12369 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9891.118419 https://www.ijrte.org/portfolio-item/D9891118419/ Computer Science Engineering, Vellore Institute of Technology, Vellore, India. Kotur Guna Pragna* Dindi Dhanunjai Computer Science Engineering, Vellore Institute of Technology, Vellore, India. Action recognition in video sequences is a challenging problem of computer vision due to the similarity of visual contents, changes in the viewpoint for the same actions, camera motion with action performer, scale and pose of an actor, and different illumination conditions. Also, there is no designated action recognition model for hazy videos. This model proposes a novel unified and unique model for action recognition in haze built with Convolutional Neural Network (CNN) and deep bidirectional LSTM (DB-LSTM) network. First, every frame of the hazy video is feed into the AOD-Net (All-in-One Dehazing Network). Next, deep features are extracted from every sampled dehazed frame by using VGG-16, which helps reduce the redundancy and complexity. Later, the sequential and temporal information among frame features is learnt using DB-LSTM network, where multiple layers are stacked together in both the forward and backward passes of DB-LSTM to increase its depth. The proposed unified method is capable of learning long term sequences and can process lengthy videos (even hazy videos) in real time by analyzing features for a certain time interval. Experimental results on both synthesized and natural video datasets show decent results on par with other state of the art methods in action recognition using the proposed method on the benchmark data set UCF-101. This helps the Down Syndrome Students to recognize an action faster. 11 30 2019 11945 11948 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9906.118419 https://www.ijrte.org/portfolio-item/D9906118419/ School of Mathematical Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia. Nur Arzilah Ismail* Wan Zawiah Wan Zin @ Wan Ibrahim School of Mathematical Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia. Liong Choong Yeun School of Mathematical Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia. The monitoring of land surface temperature (LST) can assist scientists to better understand the possible effect of climate change on land cover types and in conducting appropriate analysis. The earth's annual temperature has moved up and down a few degrees Celsius, including Malaysia, over the past few million years. The location of Malaysia near the equator line and experiences tropical monsoon season were important to take into consideration to the LST changes. In this paper, the eight-day LST time series data for 14-year period (Jan 2003 – Dec 2016) was downloaded from Moderate Resolution Imaging Spectroradiometer (MODIS) website with two types of satellites which are Terra and Aqua. This study focused on two gridded areas in Peninsular Malaysia; the first one which is exposed to North East monsoon, namely super region 21 and another one to South West monsoon, which is super region 26. These two areas are selected due to they being the largest land area covered within the grid relative to other grids. The objective of this study is to compare the eight- day daytime LST pattern between two monsoons with different land cover types for both satellites. Analysis such as cubic spline function with the annual periodic boundary condition and weighted least square (WLS) regression were performed to extract annual seasonal trend for the areas covered. The results of LST showed most of the gridded areas experience similar seasonal pattern for each year but different pattern were discovered when both monsoons were considered. Moreover, the LST trends also changed according to the land cover types over the study period. 11 30 2019 11949 11955 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9911.118419 https://www.ijrte.org/portfolio-item/D9911118419/ Faculty of Mechanical Engineering and Manufacturing at the University Tun Hussein Onn Malaysia. M. S. Hashim* O. Saliza Azlina Faculty of Mechanical & Manufacturing Engineering, University Tun Hussein Onn Malaysia M. N. Ervina Efzan Deputy Director, Research Management Centre, Multimedia University, Malaysia. Lead-free solders have been the substructure innovation of electronic interconnections for many decenniums due to the widespread utilization of electronic contrivances. Sn-Ag–Cu (SAC) is presently seen as the popular lead-free solder alloy for bundling interconnects in the electronics industry. In this review, the study on the development of low-temperature Pb-free solders using Sn-Bi solder alloys will be discussed regarding thermal behaviour and wettability. The impact of alloying on these compounds is depicted as far as basic microstructural changes, mechanical properties, and reliability. The review closes with a perspective for cutting edge electronic interconnect materials. 11 30 2019 11956 11962 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9913.118419 https://www.ijrte.org/portfolio-item/D9913118419/ Research Scholar, Department of Physics, Bhagwant University, Ajmer, Rajasthan, India -305002 and Faculty in Department of Physics, Govt. Engineering College, Ajmer, India. Gunaram* Gaurav Sharma Faculty in Department of Physics, Govt. Engineering College, Ajmer, India Vijay Sharma* Faculty in Department of Physics, Govt. Mahila Engineering College, Ajmer, India. In this article the radiation performance of coaxial feed dual band dual print microstrip patch antenna using Electromagnetic simulation tool IE3D (Integral Equation Three-Dimensional) and CST-MWS (Computer Simulation Technology Microwave Studio) is offered and discussed. The attempt is made to compare the antenna parameters such gain, impedance bandwidth and radiation pattern from both the Electromagnetic Software. It is observed that both the software has their own pros and cons. However, the features available from the CST make it more feasible in comparison to IE3D. With the presented geometry a wide impedance bandwidth 5.62GHz (1.86-7.48GHZ) with sustained gain is achieved. The antenna radiation parameters are also found as desired. A brief comparison of various EM software is also given for the interest of the readers. 11 30 2019 11963 11968 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9919.118419 https://www.ijrte.org/portfolio-item/D9919118419/