-4d90550d17f4602e0891375 20220627053654946 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 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/ Pursuing Part Time Research In Srm Institute Of Science And Technology, Kattangulathur Mrs.M.K. Vidhyalakshmi* Dr. E. Poovammal Professor Department Of Computer Science And Engineering At Srm Institute Of Science And Technology Video surveillance has become a necessary tool for monitoring a public places. Automation of the video surveillance is the current need, as it a tough task for the humans to monitor the surveillance video continuously. Also searching a person from a bulk of videos is not an easy job. Person re-identification is a step taken towards to make the video surveillance an automated one. Person re-Identification is a task of matching the identity of a person captured by different cameras in the network at different places and times. The cameras used for surveillance are located at a much higher position than the person so that the conventional method of face recognition is not used for identification of the person. The images of the same person may differ based on the qualities of different cameras (resolution changes), or due to different lighting conditions (variation in illumination) or due to posture changes. Recently sparse based classifier is used in person re-identification and is effective in handling in illumination variation and occlusion. But sparse based decomposition method is not computational efficient. This leads to the development of the person re-identification method based on Reduced Dictionary Sparse representation based Classifier (RDSC). This is done with 2 steps: (i) Similarity score for reduction of the gallery; (ii) Sparse basis expansion of targets in terms of reduced gallery. The proposed method is both computational efficient and creates better outcomes. 11 30 2019 9503 9507 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9787.118419 https://www.ijrte.org/portfolio-item/D9787118419/ School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha, India. Dileep Kumar Murala* Sandeep Kumar Panda Computer Science and Engineering, Faculty of Science and Technology, ICFAI Foundation for Higher Education, Hyderabad, Telangana, India. Santosh Kumar Swain School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha, India. Cloud computing provides a flexible and convenient way for data sharing, which brings various benefits for both the society and individuals. But there exists a natural resistance for users to directly outsource the shared data to the cloud server since the data often contain valuable information. Although it causes many security issues, cloud service providers are not at the same level of trust as users. To preserve the privacy of data against non-trusted Cloud Service Provider (CSP) files, current solutions implement Cryptographic methods (for example, encryption methods) and deliver decryption keys only to authorized users. However, data sharing in the cloud among authorized users remains a difficult problem, especially when it comes to dynamic user groups. Most of the research on dynamic group data exchange has been done in the cloud with many algorithms, such as Attribute-Based Encryption (ABE), Ciphertext Attribute-Based Encryption (CP-ABE) to provide better security in dynamic cloud users with multiple authorities, but they still face challenges, either lack of performance or rely on a trusted server, and are not suitable for distribution with the problem of eliminating attributes. Thus, the Revocation user cannot get shared data before and after. To solve this in particular, we first suggest an effective Modified Revocable Attribute-Based Encryption (MR-ABE) system with the quality of ciphertext allocation by applying and integrating both Identity-Based Encryption (IBE) and CP-ABE techniques. It can provide confidential forward / backward of encrypted data by delivering user revocation attributes and updating encrypted text simultaneously. Next, we perform Fine-grained access control and data exchange for on-demand services with dynamic user groups on the cloud. Experimental data show that our proposed system is more efficient and scalable than the latest generation solutions. 11 30 2019 9508 9512 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9788.118419 https://www.ijrte.org/portfolio-item/D9788118419/ Research Scholar, School of Computing Science and Engineering, VIT University, Chennai, India. Praveena Rachel Kamala S* Justus S Associate Professor, School of Computing Science and Engineering, VIT University, Chennai, India. Knowledge Visualization using graphical structure is a field in which the researchers have a strong influence on comprehensibility. Based on the information provided by the users, the knowledge is created. By mapping the logic generated based on the knowledge, we have created a new graphical structure using Cypher Query Language that shows the connectivity between each concept and their relationship. These knowledge visualization techniques are mainly suitable in finding the outcome of a situation and also in discovering new knowledge from the existing or by adding new information. An automated code is generated to build the graph structure for visualization in Neo4j. The reduction in content size and graphical structure helps the user to easily gain knowledge about the system. 11 30 2019 8475 8480 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9792.118419 https://www.ijrte.org/portfolio-item/D9792118419/ Department of Computer Science & Engineering,, ABES Engineering College, Ghaziabad, India. Vikash Yadav* Krishn Vir Singh Department of Computer Science & Engineering,, ABES Engineering College, Ghaziabad, India. Deepak Kumar Singh Department of Computer Science & Engineering,, Sachdeva Institute of Technology, Matura, India. These days, there is a colossal progression in zones of computerization and PC vision. Item ID is a basic procedure in these innovations. It distinguishes a particular item from a picture or video arrangement and the move is made in like manner. AI calculations are widely utilized for article ID in different applications. The essential highlights are removed from the pictures and are prepared utilizing different classifiers. This paper proposes an article recognizable proof method utilizing Support Vector Machines (SVM). The proposed framework is contrasted and Decision Tree (DT) and K-Nearest Neighbor (KNN) characterization calculations. The item ID framework is surveyed on ID precision, prevision and review. 11 30 2019 9513 9515 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9794.118419 https://www.ijrte.org/portfolio-item/D9794118419/ Graduate Engineering Trainee (GET), VIK-SANDVIK Design, Visakhapatanum, India. Swapnil D. Sankpal* *Dr. Shameem BM Assistant Professor, Department of Naval Architecture & Offshore Engineering, Academy of Maritime Education and Training (AMET University), Chennai, INDIA The global price of oil, which is both finite and limited in quantity, has been rising steadily because of the increasing requirements for energy in both developing and developed countries. Furthermore, regulations have been strengthened across all industries to address global warming. Many studies of hull resistance, propulsion and operation of ships have been performed to reduce fuel consumption and emissions. The present study examined the design parameters of the propeller boss cap fin (PBCF) and hub cap in improving the propeller efficiency. PBCF is the kind of hydrodynamic energy saving device which aims to reduce energy losses associated with propeller hub vortex by fitting fins to the cap of a propeller. The main principles of PBCF is breaking up hub vortex to straighten propeller wake, thus recovering the negative pressure on the cap. This reduces propeller’s rotational losses and produces negative torque to reduce propeller shaft torque and generating thrust. The study focuses on the size of the blades on boss cap and optimizing its geometry using CFD technique. Open Water Test has been modelled using dynamic meshing technology known as overset meshing. Seven variations of PBCF are modelled and tested to estimate the efficiency of the propeller. The obtained results are then compared with the simulation result with the propeller without PBCF arrangements. The propeller characteristics (without PBCF) has been initially validated using overset meshing strategy with the available experimental results. Overset mesh has been used to perform this analysis to give better control over the fluid flow. It has been observed that, the propeller with PBCF, one among seven variations is giving nearly 2.0% more efficient than the propeller without PBCF. 11 30 2019 9516 9521 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9795.118419 https://www.ijrte.org/portfolio-item/D9795118419/ Assistant Professor, Department of Civil Engineering, S R Engineering College, Warangal. M. Guruprasad* G. Sangeetha Assistant Professor, Department of Civil Engineering, S R Engineering College, Warangal. B. Tipraj Assistant Professor, Department of Civil Engineering, S R Engineering College, Warangal. A. Srinivas Assistant Professor, Department of Civil Engineering, S R Engineering College, Warangal. Sathanantham. T Assistant Professor, Jay Shriram Group of Institutions, Tirupur, Tamilnadu. Generally Portland cement is used as binding material in concrete which liberates large amount of co2 while manufacturing. Hence there is an urgent need for proper attention and to minimize their impact on the sustainability of our living environment. In this study quarry dust and Rice husk ash were partially replaced for cement material, And adding the polyester fiber to strengthening the rebar. In this investigation marble dust and rice husk ash are used as a replacement for cement in various proportions such as 0%, 10%, 15%, 20%, 30% in a total replacement of 30% of cement, Where in each proportion the remaining percentage is filled by the Rice husk ash. Marble dust contains more than 50% of silica content in it. Study of Index property and engineering property were obtained in laboratory. Cube casted along the polyester fiber with aspect ratio 100 is adding as reinforcement agent. Polyester had added as 0.1% . 11 30 2019 9522 9524 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9796.118419 https://www.ijrte.org/portfolio-item/D9796118419/ Student of Mechanical Engineering, JIMS Engineering Management Technical Campus affiliated to Guru Gobind Singh Indraprastha University, New Delhi, India. Prabhjot Singh* Simran Bhola Student of Mechanical Engineering, JIMS Engineering Management Technical Campus affiliated to Guru Gobind Singh Indraprastha University, New Delhi, India. Sanjeev Choudhary Student of Mechanical Engineering, JIMS Engineering Management Technical Campus affiliated to Guru Gobind Singh Indraprastha University, New Delhi, India. Dhruv Kumar Assistant Professor, Mechanical Engineering, JIMS Engineering Management Technical Campus affiliated to Guru Gobind Singh Indraprastha University, New Delhi, India. Dr. Devendra Jha Dean (Academics), JIMS Engineering Management Technical Campus affiliated to Guru Gobind Singh Indraprastha University, New Delhi, India. “Waste heat recovery with thermoelectric power generators can improve energy efficiency & provide distributed electricity generation.” The strategy of how to recover this heat depends on the temperature of waste heat gases and economics involved. The energy lost in exhaust gases cannot be fully recovered. However, much of the heat could be recovered & loss minimizes by adopting ideal performance conditions at the system level. The performance of TEG relies on more factors than traditional Thermoelectric (TE) material performance metrics alone, Positioning within the automotive system, Module Structure and Electrical Performance of one whole Thermoelectric (TE) system decides the efficiency of heat recovered. This review discusses the performance of TEG in different practical cases & what could be the best arrangement of the array of modules, Placement or Positioning & Conditions for a TEG setup to work in an Automotive System." 11 30 2019 8481 8486 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9871.118419 https://www.ijrte.org/portfolio-item/D9871118419/ 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 12372 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/ Faculty of Computers and Artificial Intelligence, Cairo University, Cairo, Egypt. Donia Ali Hamed* Neveen Elgamal Faculty of Computers and Artificial Intelligence, Cairo University, Cairo, Egypt. Ehab Hassanein Faculty of Computers and Artificial Intelligence, Cairo University, Cairo, Egypt. Data Quality, Database Testing, and ETL Testing are all different techniques for testing Data Warehouse Environment. Testing the data became very important as it should be guaranteed that the data is accurate for further manipulation and decision making. A lot of approaches and tools came up supporting and defining the test cases to be used, their functionality, and if they could be automated or not. The most trending approach was the automating of testing data warehouse using tools, the tools started firstly by supporting only the automation of running the scripts helping the developers to write the test case just once and run it multiple times, then the tools developed and modified to automate the creation of the testing scripts and offer their service as a complete application that supports the creation and running of the test cases claiming that the user can work without the need of expertise and high technicality and just by being an end user using the tool’s GUI. Banking sector differs completely than any other industry, as data warehouse in banking sectors collects data from multiple sources and multiple branches with different data formats, and quality that should then be transformed and loaded in the data warehouse and classified into some data marts to be used in different dashboards and projects that depend on high quality and accurate data for further decision making and predictions. In this paper we propose a strategy for data warehouse testing, that automates all the test cases needed in banking environment 11 30 2019 8978 8986 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9901.118419 https://www.ijrte.org/portfolio-item/D9901118419/ Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Republic of Korea. Won Jin Chung* Tae Ho Cho* Department of Computer Science and Engineering, Sungkyunkwan University, Suwon, Republic of Korea. Autonomous vehicles are cars that drive autonomously and safely to their destination. Autonomous vehicles offer driver convenience but can also be used as an attack tool to cause accidents. The attacker can infiltrate the controller area network exchanging information of the electronic control unit of the autonomous vehicles and take control of the vehicle's movement. As a result, the attacked autonomous vehicles may drive abnormally and cause an accident. In addition, an attacker can try various attacks such as a denial of service attack that sends many unnecessary packets to autonomous vehicles and paralyzes the network, and a replay attack that continuously sends old information that does not match the current road conditions. These attacks can cause vehicles accidents without infiltrative the controller area network controllers of autonomous vehicles. This paper proposes a countermeasure to denial of service attacks on autonomous vehicles, which uses the autonomous vehicles speed information sensed by sensor nodes of wireless sensor networks. In the event of an accident, for example, the autonomous vehicles detect a denial of service attack by comparing the information calculated at the base station with the Autonomous vehicles’ own information. The autonomous vehicles maintain speed based on the information received from the base station. Then the base station communicates with the infrastructure based on the road condition information received from the wireless sensor networks sensor nodes. This allows the infrastructure to control the roads and prevent further accidents. This paper shows that the WSN-based IoT can be modeled and simulated based on discrete event systems to cope with denial of service attacks on autonomous vehicles, enabling them to operate normally and safely. 11 30 2019 9525 9532 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9905.118419 https://www.ijrte.org/portfolio-item/D9905118419/ Research Scholar, School of Management, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science & Technology, Chennai, India. Harish. K.A* Dr.B.Jeya Prabha Professor & Head, School of Management, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science & Technology, Chennai, India. Teaching profession was once viewed as a very low stress work, it was known for low workload, it had been envied for tenure, looked at a very highly respectable profession and so on. But, off late, studies proved that the teaching profession is considered as the most stressful occupation. Surprisingly, this profession distinguishes itself into various sub categories, viz., stressors vary between the government and the private schools and amongst them, another variation amongst the male and the female employees. In view of the above facts in place, this study has examined the key stressors that play a vital role in cumulating the Work Stress amongst the teachers thereby affecting the productivity of an individual as well as the organization The study is aimed in analyzing the stress levels between the male teachers and the female teachers from the various literature studies. The size of the sample taken for the study is fixed as 500 with the population being teachers within the city of Chennai of both private and government schools. The study is carried out for research purpose and the analysis is done as it is a crisis scenario building up gradually at all the levels of the teaching profession. 11 30 2019 9533 9537 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9909.118419 https://www.ijrte.org/portfolio-item/D9909118419/ Flight Technology & Test Center (FTTC), Faculty of Mechanical Engineering, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia Shahrean Zainurin* Rizal E. M. Nasir* Flight Technology & Test Center (FTTC), Faculty of Mechanical Engineering, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia. Atikah B. A. Muta’ali Flight Technology & Test Center (FTTC), Faculty of Mechanical Engineering, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia W. Wisnoe Flight Technology & Test Center (FTTC), Faculty of Mechanical Engineering, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia W. Kuntjoro Flight Technology & Test Center (FTTC), Faculty of Mechanical Engineering, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia In vision of searching for the right Unmanned Aerial System (UAS) for a specific mission, there are multiple factors to be considered by the operator such as mission, endurance, type of payload and range of the telemetry and control. This research is focusing on extending control range of the UAS by using 4G-LTE network to enable beyond-line-of-sight flying for the commercial UAS. Major UAS such Global Hawk, Predator MQ-1 are able to fly thousands of kilometers by the use of satellite communication. However, the satellite communication annual license subscription can be very expensive. With this situation in mind, a new type of flight controller with 4G-LTE communication has been developed and tested. Throughout the research, blended-wing-body (BWB) Baseline B2S is used as the platform for technology demonstrator. Result from this analysis has proven that the proposed system is capable to control a UAS from as far as United Kingdom, with a latency less than 881 ms in average. The new added capability can potentially give the commercial UAS community a new horizon to be able to control their UAS from anywhere around the world with the availability of 4G-LTE connection. 11 30 2019 9538 9542 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9910.118419 https://www.ijrte.org/portfolio-item/D9910118419/ Computer Science & Engineering, SNS College of Technology, Coimbatore, India. P. Dhivya* A. Karthikeyan Electronics &Communication Engineering, SNS College of Technology, Coimbatore, India. Dr.V.K. Shunmuganaathan Mechanical Engineering, Excel Engineering College, Namakkal, India. Internet of things plays an important role to make smart in all the areas like smart city, smart home etc [1]. It is used in more efficient water supply, an innovative solution for traffic congestion, to make reliable public transportation, improved the public safety, energy efficient building, Vehicle smart security system etc [4]. While the average cost for basic items is going up, there is a developing concentration to include innovation to bring down those costs for smart city development. In the following chapter will discussed the few innovation for the smart city development. 11 30 2019 9543 9547 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9917.118419 https://www.ijrte.org/portfolio-item/D9917118419/ Department of PG studies in Electronics, Kuvempu University, Shimoga, India. Priya B S* Basavaraj N Jagadale Department of Electronics, Kuvempu University, Shimoga, India. Swaroopa H N Department of Electronics, Kuvempu University, Shimoga, India. Vijayalaxmi Hegde Department of Electronics, MESMM Arts and Science College, Sirsi, India. Fuzzy c-means clustering is a popular image segmentation technique, in which a single pixel belongs to multiple clusters, with varying degree of membership. The main drawback of this method is it sensitive to noise. This method can be improved by incorporating multiresolution stationary wavelet analysis. In this paper we develop a robust image segmentation method using Fuzzy c-means clustering and wavelet transform. The experimental result shows that the proposed method is more accurate than the Fuzzy c-means clustering. 11 30 2019 9548 9551 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9918.118419 https://www.ijrte.org/portfolio-item/D9918118419/ Ph.D Research Scholar, Department of Computer Science, Jairams Arts and Science College Karur affiliated to Bharathidasan University Tiruchirappalli Anish Mathew Kuriakose* DrV. Umadevi Director, Department of Computer Science,Jairams Arts and Science College Karur affiliated to Bharathidasan University Tiruchirappalli In the web industry 4.0, big data are playing a key role in the organizations of their digital transformation journey. Data has also changed intensely in recent years, in volume, variety and velocity. Its fast development attributed to the extensive digitization of business progressions globally. In simple term, data has turn into the new currency of business and its further quick growth will be key transformation and growth of organizations globally. Vast amount of online information, available in healthcare, social media websites, e-commerce web pages, e-books, legal domain, e-news, etc. has made text processing a vital extent of research. The paper starts with introduction about the evolution of web industry 4.0 and digitalization. Followed by the introduction, the paper discusses about big data and text summarization techniques. Further, it describes the literature of text mining that have taken in the recent years. The main objective of this paper is to discuss about the big data text summarization issues and challenges. The paper starts with general introduction of big data and text mining and text summarization. Further it describes recent advances in big data text summarization, and then delve into extraction and abstraction-based text summarization. Finally, the paper concludes with some future research directions. 11 30 2019 9552 9556 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9932.118419 https://www.ijrte.org/portfolio-item/D9932118419/ MJIIT UTM, Kuala Lumpur, Malaysia. A.H.M. Roslan Z.A. Rasid MJIIT UTM, Kuala Lumpur, Malaysia H.T. Toh MJIIT UTM, Kuala Lumpur, Malaysia. M.Z. Hassan Razak Faculty, UTM, Kuala Lumpur, Malaysia. Wind energy is one of the most viable options for clean and sustainable energy production. In Malaysia where wind source has been considered scarce, the capacity of installed wind energy production is very low. However, studies have shown that it is worthwhile to produce wind energy at several potential sites in this country. For this purpose, it is crucial that the designed turbine blade gives the highest possible blade power efficiency while structure wise, the turbine blade need to be effective in terms of avoiding possible failures. The maximum power efficiency means the blade does not only provide profile that gives maximum sliding ratio but also it must operate at the corresponding angle of attack, that gives this ratio. At the same time, the blade must be small enough to have low weight to allow it to self-start in the low wind region. In this paper, the study is focused on the aerodynamic aspect of the design of wind turbine blade that will give the maximum power efficiency. Four factors that determine aerodynamic performance of the turbine blades are discussed: the wind condition, the airfoil profile, the blade geometry and the losses. In most of the factor, adjustments are made such that the blade operates at around the so that the sliding ratio and thus power coefficient are maximum. 11 30 2019 9557 9562 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9934.118419 https://www.ijrte.org/portfolio-item/D9934118419/ research scholar at, Computer Applications, Bharath Institute of Higher Education and Research, Chennai. Jasmeena Tariq* Dr Kumaravel Professor and Dean, School of Computing, Bharath University, Chennai. Dr. Fasel Qadir Assistant Professor, Department of Computer Science‟s North Campus, Delina University of Kashmir, J&K. In order to improve the health care reach, we need efficient and fast computer aided simulation processes or algorithms. When some change is found in pathological reports and biomedical quantities, the person is susceptible to diseases. If the diseases are detected earlier then there can be increase in the rate of mortality. Tumor is one such disease which has been seen to be one of the most fatal for human beings. Detecting and removing tumor is big challenge for medical practitioners. Medical image processing can be used through cellular automata has proven to be one of the fast and reliable method for detection of tumor cells. To study the capabilities of medical science CA’s are being used extensively, as they are useful in studying the self-reproducing biological systems. Purpose: This paper presents an algorithm for segmentation of MRI image through cellular automata, using Conway’s Game of Life. A new approach is being used in this paper, first the image is converted into gray level image. Then edge detection is done for this image using Game of Life. This edge detected image is overlapped with the gray scale image to get the resulted segmented image as an output. Materials and Methods: In order to run the proposed algorithm MATLAB2019b is used and the images are obtained. Results: Algorithm was used on different MRI’s and the results were taken. 11 30 2019 8487 8490 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9939.118419 https://www.ijrte.org/portfolio-item/D9939118419/ Dept. of ECE, Sreenidhi Institute of Science and Technology, Hyderabad, Telangana. Rekha S* S Ramani Dept. of ECE, Sreenidhi Institute of Science and Technology, Hyderabad, Telangana. This paper presents a design of substrate integrated waveguide slot array antenna for X and Ku band applications. This is a low weight and simple profile antenna covering a vast range of frequencies. A substrate integrated waveguide is formed by two rows of metallized cylinders connecting upper and bottom layer of substrate. On the metallic plate, slot arrays are etched in a periodic fashion to achieve broad bandwidth. The SIW is excited by the microstrip feeding through a tapered transition to achieve smooth flow of current. The simulated result shows that -10 dB return loss of the proposed antenna is -35 dB, -29 dB and -22 dB at 11.1 GHz, 12.7GHz and 17.6 GHz respectively. The simulated bandwidth of the design is 7.6 GHz from 10.4-18 GHz which covers X band partially and Ku band. The gain of the antenna is about 6 dB. The proposed design is simulated using 3D full wave simulator named Ansys HFSS. 11 30 2019 9658 9660 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9942.118419 https://www.ijrte.org/portfolio-item/D9942118419/ School of Electrical Engineering, KIIT University, Bhubaneswar, 751024, India, Sunita Pahadasingh Chitralekha Jena School of Electrical Engineering, KIIT University, Bhubaneswar, 751024, India, Odisha Chinmoy Ku. Panigrahi School of Electrical Engineering, KIIT University, Bhubaneswar, 751024, India, Odisha This Study Proposes The Agc Of Three Area Power System Having Multi Sources Like Thermal Plant, Hydro Plant And Gas-Turbine Generating Units. A Fuzzy Proportional Integral Derivative Controller (Fpid) Is Proposed Here For Both Ac And Ac-Dc Parallel Tie Line. Differential Evolution Particle Swarm Optimization (Depso) Algorithm Is Considered Here To Optimize Scaling Factors. Facts Are Designed To Enhance The Power Flow Transmission Capability And Also Improve The Dynamic Response Characteristics. The Facts Devices Tcps And Smes Are Used In This Paper. The Proposed Hybrid Depso Optimized Fpid With Facts Is Depicted By Comparing Their Simulation Results. The Comparison Is Basically Done On The Basis Of Undershoot, Overshoot And Settling Time. From The Simulation Results It Reveals That The Presence Of Smes Improves The Dynamic Response Than Tcps. Finally A Combined Effect Of Tcps-Smes Gives A Better Dynamic Response Than The Other Optimized Controlled Values. 11 30 2019 9563 9569 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9948.118419 https://www.ijrte.org/portfolio-item/D9948118419/ Research Scholar, Department of CSE, Koneru Lakshmaiah Education Foundation, Green Fields, Guntur District, Vaddeswaram, Andhra Pradesh, India Mr. Satyanandaram nandigam* Dr. Chaparala Smitha Chowdary Associate Professor, Department of CSE, Koneru Lakshmaiah Education Foundation, Green Fields, Guntur District, Vaddeswaram, Andhra Pradesh The globe is encompassing gravitate automation. Many organizations turning the theoretical aspects into practical implementation by converging technologies. Embedded systems considered the core of sensor-based technology. Bundle of built-in configuration required to interact devices. Productivity software confederate to communicate with the integrated systems over the web. Process models furnished strategies to implement systems. Process models like a classical waterfall, Spiral, XP, Agile, RUP, Prototype, and Scrum which provides the blueprint for developers. The paper investigating the variations among process models and integrated system development. Discrete factors have to be considered an excerpt of the process model to an integrated system. Process models can be suitable to implement small scale and medium scale systems but implementing sophisticated systems deals with various critical factors. The non-functional attributes of development tools and deployment environments are the key components in system development. Since the cloud is the component of IoT and cloud providing solutions as per pay and use policy. Identifying process model for IoT systems depends on application nature, development and deployment environments. IoT systems require real-time operating systems or devices to interpret code in it. The probable scrutiny is given information about the agile methodology. The research involving with identification of key metrics of various process models to develop IoT based systems. The paper presuming the external factors not involving with the process mode. Identified key factors from agile model to develop medium level integrated systems. 11 30 2019 9661 9666 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9955.118419 https://www.ijrte.org/portfolio-item/D9955118419/ M.Tech Scholor, Department of ECE, S R Engineering College, Warangal, Telangana, India Mittapelli Nikkitha* Rajeshwar Rao Arabelli Assistant Professor, Department of ECE and Head, Center for Embedded Systems & Internet of Things. S R Engineering College, Warangal, Telangana, India The main objective of this project is to overcome the disadvantages of current technology, that is, by means of switches. That is why we are building a smart network of home devices that can be used to control household appliances via internet. In our daily lives we always forget to switch off lights, TV, AC, fan and other electronic devices and waste unnecessary electricity. The proposed home automation device is to be integrated with approximately all devices and used to control them remotely in a simple and easy way. To save electricity, we implement it with IoT. Because IoT changes the way you live. The proposed system is divided in to two major blocks which are server and hardware interface. Here the server manages, controls and supervises the system locally (LAN) or remotely (Externally) by the home users whereas the hardware interface provides an adequate interface for the sensors and actuators to system. 11 30 2019 9570 9583 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D9957.118419 https://www.ijrte.org/portfolio-item/D9957118419/