19c96fd517d854497e8-53d9 20220108064615594 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Engineering and Advanced Technology IJEAT 22498958 10.35940/ijeat.2249-8958 https://www.ijeat.org/ 10 30 2019 9 1 10.35940/ijeat.9.1 https://www.ijeat.org/download/volume-9-issue-1/ Associate Professor, Department of Instrumentation and Control Engineering, Pravara Rural Engineering College, Loni, Tal.- Rahata, Ahmednagar, Maharashtra, India. P.S. Vikhe B. S. Shukla Department of Instrumentation and Process Control, Pravara Rural Engineering College, Loni, Tal.- Rahata, Ahmednagar, Maharashtra, India. C. B. Kadu Department of Instrumentation and Control Engineering, Pravara Rural Engineering College, Loni, Tal.- Rahata, Ahmednagar, Maharashtra, India V. V. Mandhare Associate Professor, Department of Computer Engineering, Pravara Rural Engineering College, Loni, Tal.- Rahata, Ahmednagar, Maharashtra The low cost of manufacturing having higher performance is main goal of upcoming and present applications. However, its possible to achive these aims using brushless DC motors (BLDC), due to its use in many applications. The applications such as sppining, drilling, elevators, lathes, etc can be exicuted using BLDC motor and can replace conventional DC brush motor. The effective vechiel control required for applications of variable speed can be achived using BLDC motors. This paper presents speed control of BLDC motor for open loop using PID and neural network techniques and their comparative study. From the simulation study it is observed that neural network gives better performance compaiered to other technique. 10 30 2019 2210 2213 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9710.109119 https://www.ijeat.org/portfolio-item/a9710109119/ Research Scholar, Department of CSE, Hindustan Institute of Technology and Science, Padur, India. V.Sathya Durga Thangakumar Jeyaprakash Associate Professor, Department of CSE, Hindustan Institute of Technology and Science, Padur, India. Data mining is a real-world procedure of discovering useful patterns from heterogeneous datasets. All most all industry uses data mining in their day to day activities. To build an effective mining model, a series of development steps are to be followed. It starts with discovering the business problem and ends with communicating the results. In this development life cycle, the most important step is data preparation or data preprocessing. Data preprocessing is converting raw data into data understandable by the machine. Data normalization is a phase in data preprocessing where the data values are scaled to 0 and 1. Right normalization of the datasets leads to improved mining results. In this paper, academic data of students is taken. The dataset is normalization using six normalization technique. Multi Layer Perceptron classifier is applied to normalized dataset and results are obtained. Results of this study reveal the best normalization technique which can be used for normalizing academic datasets. Finally, in a line, the goal of this work is to discover the best normalization technique which produces better mining result when applied to academic datasets. 10 30 2019 2214 2218 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9711.109119 https://www.ijeat.org/portfolio-item/a9711109119/ Assistant Professor in Department of Computer Science and Engineering, Kalpataru Institute of Technology, Tiptur. Mr. Raviprakash M L Dr. C S Pillai Associate Professor in Department of Computer Science and Engineering, ACS College of Engineering, Banglore, India. Dr. Ananda babu J Associate Professor in Department of Computer Science and Engineering, Malnad College of Engineering, Hassan, India. Object recognition in video surveillance systems is the primary and most significant challenge task in the field of image processing. Video Surveillance systems provides us continuous monitoring of the objects for the enhancement of security and control. This paper presents novel approach recognizing the objects using Shi-Tomasi approach for detecting the corners of the object and then applies the Lucas-Kanade techniques to extract the features of the objects. The main objective of this paper is providing precise recognition of objects and estimation of their location from an unknown scene. Whenever the object is recognized from extracted frames of the input video the background subtraction will be applied. Then the classification of the objects into their respective categories can be achieved using support vector machine classifier by supervised learning. In case of multiple objects of different classes in a single frame, a vector containing the classes of all the detected in that frame is produced as output. The results of this work are drawn in the MATLAB tool by considering the input video dataset taken from various sources and extracting the frames from the input video for the detection then the efficiency of the proposed techniques will be measured. 10 30 2019 2219 2224 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9712.109119 https://www.ijeat.org/portfolio-item/a9712109119/ Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Chennai, India. T.M. Thamizh Thentral A. Geetha Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Chennai, India. S. Usha Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Chennai, India. C. Subramani Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Chennai, India. T.R.B. Ramanathan Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Chennai, India. Anti-social elements in the global environment are challenging the society with their destructive activities. Mobile land vehicle robots are becoming a crucial player in National security, search and rescue operations, surveillance networks, border security forces. In order to reduce the chances of danger towards human lives, a land vehicle robot is designed to detect an anomaly that may rise up as a potential threat on the earthly surface surveyed powered via a PV channel. This robot can penetrate the no-man’s area with great precision so as to spot the mines, bombs, missiles, explosives and threats on land. Improvement in border security leads to enhancement of high precision sensors generating an extensive stream of data and databases. The intent of this research is to adjunct the robot with human intelligence that can assist in real-time decision making from the stream of data. 10 30 2019 2225 2228 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9717.109119 https://www.ijeat.org/portfolio-item/a9717109119/ Under Graduate Student, Department of Civil Engineering, Dr. B. C. Roy Engineering College, Durgapur, India, Trishit Chandra Sanjay Sengupta Assistant Professor, Department of Civil Engineering, Dr. B. C. Roy Engineering College, Durgapur, India, Over the past 35 years, the growing demand for wireless and broadcast communication has spurred a dramatic increase in steel telecommunication tower construction and maintenance. Failure of such structures due to severe earthquakes is a major concern. The Indian code suggests the detailed static and dynamic analysis provisions that are to be followed for lumped mass systems like buildings. In case of continuous structures the code only suggests the static analysis provisions in details. But, due to the lack of detailed Indian codal provisions for dynamic analysis of telecommunication tower, a comparative study using response spectrum method is being carried out with the help of suitable software for different ground level conditions in case of India. According to the theoretical approach of any structural dynamics problem, the structures without lumped mass system is considered as continuous system which is further idealized as a series of small elemental segments. Furthermore, the structural analysis of these elemental segments using the concept of Finite Element Method (FEM) is being carried out with the help of the mentioned software and the results of natural frequencies, time periods of the structure are compared to obtain the optimum number of elemental discretization along with the optimum method of modal combination. 10 30 2019 2229 2231 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9720.109119 https://www.ijeat.org/portfolio-item/a9720109119/ Associate Professor, Department of Computer Engineering, Pravara Rural Engineering College, Loni, Tal.- Rahata, Ahmednagar, Maharashtra V. V. Mandhare P.S. Vikhe Associate Professor, Department of Instrumentation and Control Engineering, Pravara Rural Engineering College, Loni, Tal.- Rahata, Ahmednagar, Maharashtra, India M. S. Patil Department of Instrumentation and Process Control, Pravara Rural Engineering College, Loni, Tal.- Rahata, Ahmednagar, Maharashtra, India C. B. Kadu Head, Department of Instrumentation and Control Engineering, Pravara Rural Engineering College, Loni, Tal.- Rahata, Ahmednagar, Maharashtra, India This work deals with Fractional Order Proportional-Integral-Derivative (FOPID) based controllers designing using Bio-inspired Artificial Bee Colony (ABC) algorithm. The operating principle of bio-inspired optimization techniques are originated from various biological systems. Thus, ABC algorithm works similar to working principle of bees. In this work, second order system model of a DC motor has been considered for speed control of DC motor. The proposed optimization method can be used for higher order approaches, to provide minimum error with efficient system performance. The aim of this research work is to design and tune parameters of FOPID controller, for effective static and dynamic performance. The automatic controller tunning ability for PID is possible using ABC algorithm and fractional order system provides effective solution set for search output parameters of PID. 10 30 2019 2238 2241 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9723.109119 https://www.ijeat.org/portfolio-item/a9723109119/ Research Scholar, Centre for Information Technology and Engineering, Manonmaniam Sundaranar University, Abishekapatti, Tirunelveli-627012, Tamilnadu, India and Assistant Professor, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai. Raghavendran. S P. Kumar Assistant Professor, Centre for Information Technology and Engineering, Manonmaniam Sundaranar University, Abishekapatti, Tirunelveli-627012, Tamilnadu, India. Silambarasan. K Research Scholar, Centre for Information Technology and Engineering, Manonmaniam Sundaranar University, Abishekapatti, Tirunelveli-627012,Tamilnadu,India Area of agriculture plant disease detection attracts is very important one, main role is diseases detection. To develop the plant diseases detection, it required to identify arrival of the diseases in the leaf and instruction to the agriculturalists. In this proposed work, a leaf disease detection system (LDDS) based on Otsu segment (OS) is developed to identify and classify the diseases in the set of leaves. Clustering scheme is offered from segmented image of the diseased leaf. Otsu segmentation is measured the size of segmented leaf are uploaded to less storage place. In observing location, the amounts are retrieved as well as the features are extracted from the original segmented image. The enhancement as well as classification is used to SVM based on PSO classifier. The overall design of this paper is LDDS take scan be calculated in terms of system efficiency and it is compared with the existing methods. The result indicates the research technique offers a whole detection accuracy of 90.5% and classification accuracy of 90.4%. 10 30 2019 2242 2247 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9730.109119 https://www.ijeat.org/portfolio-item/a9730109119/ Department of Master of Computer Applications, N.M.A.M. Institute of Technology,(Visvesaraya Technological University, Belagavi),Nitte, 574110, Udupi District, Karnataka, India Karuna Pandit With the massive development in the technology, this era is witnessing tremendous use of Internet . Huge amount of confidential data trasfer is taking place through Internet. The consequence of this growth is the great demand for data security. Privacy is the most sorted topic in Information Security. The protection of privacy of data can be achieved by the application of cryptography. In this paper a new encryption algorithm is proposed using the simplest classical Caesar Cipher with Linear Congruential Generator for shift size followed by permutation of the words of the message. The strength of the algorithm is ease of use and large key space making Brute force cryptanalysis impossible. 10 30 2019 2248 2250 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9731.109119 https://www.ijeat.org/portfolio-item/a9731109119/ Civil Engineering Department, Bina Nusantara University, Jakarta, Indonesia. Made Suangga Hendy Candra Civil Engineering Department, Bina Nusantara University, Jakarta, Indonesia. Irpan Hidayat Civil Engineering Department, Bina Nusantara University, Jakarta, Indonesia Yuliastuti Civil Engineering Department, Bina Nusantara University, Jakarta, Indonesia. Cable is the main element of cable-supported bridge, such as suspension bridge, cable stayed bridge and arch bridge. For the cable-stayed bridge, the cable receives the load from the bridge deck and transfer it to the pylon. As the ambient temperature change, the internal force in bridge element including stayed cable will change. This research investigate the ambient temperature effect to the tension force of stayed cable of cable-stayed bridge by comparing the result of finite element model analysis with the field measurement form electromagnetic sensor data. The finite element model of Merah Putih Cable-Stayed Bridge has been developed based on detailed engineering design data. The finite element model is validated using the natural frequency data from dynamic load test of the bridge. The ambient temperature and bridge elements temperature were measured for 24 hours. The finite element analysis were conducted based on field measurement data and the contribution of pylon and girder temperature to the cable tension forces variation was investigated. The output of finite element analysis then compared to the actual cable tension as measured by an electromagnetic sensor. It was found that the ambient temperature will affecting the magnitude of tension force at stay cable and the variation of cable tension has similar pattern of both from the finite element model and electromagnetic data. As the temperature of bridge element increases or decreases, the bridge will experience a deformation. Since the stay cable connected to the pylon at one side and to the girder at the other side, its will make the stay cable elongated or contracted which in turn will affecting the tension force at stay cable. When evaluating the bridge condition based on the tension force at stay cable, the effect of temperature variation need to be considered. 10 30 2019 2251 2257 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9724.109119 https://www.ijeat.org/portfolio-item/a9724109119/ Civil Engineering Department, Faculty of Technology & Engg, The Maharaja Sayajirao University of Baroda, Vadodara, India. Vidhi N. Mehta Dr. Geeta S. Joshi Civil Engineering Department, Faculty of Technology & Engg, The Maharaja Sayajirao University of Baroda, Vadodara, India. The study presents the hydraulic design and analysis of Rural Water Distribution System (WDS) for Nava shihora region of zone 1 of the state of Gujarat, India. Water supply distribution system is designed for this study for population estimated for future 30 years. LOOP 4.0 and Water Gems v8i software have been used and the results are compared to determine the economical size of pipes for water distribution system. The economical size of pipes of water supply distribution system is designed by considering the constraints; residual pressure at each node, velocity of flow in pipe, head loos in pipes, material of pipes, elevated service reservoir level, peak factor and available commercial pipe diameters. Further water distribution system has been analyzed for extended period simulation (EPS) for the present population scenario for intermittent water supply using Water Gems v8i. Further water supply system is analyzed the residual chlorine concentration at nodes and in the pipe links and also the total cost of water supply system of rural region is estimated. 10 30 2019 2258 2266 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F9087.109119 https://www.ijeat.org/portfolio-item/f9087088619/ Department of EEE, M. Kumarasamy College of Engineering, Karur, Tamil Nadu, India. V. Jayakumar GN. Sachinamreiss Department of EEE, M. Kumarasamy College of Engineering, Karur, Tamil Nadu, India. R. Karthikeyan Department of EEE, M. Kumarasamy College of Engineering, Karur, Tamil Nadu, India. The proposed system is very useful for the agricultural system. The converter topology used here is Multiplier Boost Converter which will enhance better voltage gained from the input source which is solar PV. Now the PV can able to produce 80V which is boosted upto 285V through the converter. The inverter design is quite easy such that it is possible to drive a PMSM motor. The controller is not necessary here as the voltage produced by the DC-DC converter is quite reliable. So this might find application in water pumping and electric vehicles. 10 30 2019 2267 2269 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1210.109119 https://www.ijeat.org/portfolio-item/a1210109119/ Faculty of Computer Science and Information Technology Syeda Shaizadi Meraj Razali Yaakob Faculty of Computer Science and Information Technology Azreen Azman Faculty of Computer Science and Information Technology Siti Nurulain Mohd Rum Faculty of Computer Science and Information Technology Azree Shahrel Ahmad Nazri Faculty of Computer Science and Information Technology Nor Fadhlina Zakaria Department of Medicine, Medical and Health Science Faculty, Universiti Putra Malaysia, 43400, Serdang, Selangor Tuberculosis (TB) is airborne infectious disease which has claimed many lives than any other infectious disease. Chest X-rays (CXRs) are often used in recognizing TB manifestation site in chest. Lately, CXRs are taken in digital formats, which has made a huge impact in rapid diagnosis using automated systems in medical field. In our current work, four simple Convolutional Neural Networks (CNN) models such as VGG-16, VGG-19, RestNet50, and GoogLenet are implemented in identification of TB manifested CXRs. Two public TB image datasets were utilized to conduct this research. This study was carried out to explore the limit of accuracies and AUCs acquired by simple and small-scale CNN with complex and large-scale CNN models. The results achieved from this work are compared with results of two previous studies. The results indicate that our proposed VGG-16 model has gained highest score overall compared to the models from other two previous studies. 10 30 2019 2270 2275 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A2632.109119 https://www.ijeat.org/portfolio-item/a2632109119/ Tenaga Nasional University Norliza binti Sidek Nor’ashikin binti Ali Tenaga Nasional University The emergence of InternetofThings offers opportunities for public services to deliver efficient and high-quality smart services. At present, the IoT-based services (IoTbS)are still at an initial stage of the journey to Government’s digital transformation. Although the success of IoTbSimplementation depends on users' behaviour and their willingness to use, little attention has been paid to explore the critical quality factors (CQFs) of IoTbSthat may influence the usage and performance. This article presents the currentstate of IoTbSimplementation and will answer these questions: 1) What are the CQFsthat influence the usage and performance of IoTbSimplementation?; and2) What are the research types and research contribution types in this area? In this study, a systematic literature reviewwas performed using specific search string to obtain papers recently published from four relevant electronic databases. As a result, the systematic search yielded 10,066 hits and 11 papers were selected presenting CQFs in this context. Besides identifying the CQFs, research types and contribution types in IoTbSimplementation, this paper reports the identified research gaps that have led the author to recommend potential future directions on this topic. 10 30 2019 2276 2281 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A2631.109119 https://www.ijeat.org/portfolio-item/a2631109119/ TNB Research SdnBhd, Malaysia Mohd Iqbal Ridwan Nadia Tan Mei Lin University TenagaNasional, Malaysia Vassilios Agelidis Technical University of Denmark The advancement of communication technologies has facilitated the evolution of traditional electric power system into a vast entity called smart grid. Various domains such as substation automation, distributed energy resources, advanced metering infrastructures, energy storage systems and many more serve as parts and parcels of smart grid. Fundamentally, these domains communicate and exchange information within the domain as well as other domains to execute their intended functions. One example is the grid edge domain in smart grid, where devices at customer premise interact with utility grid as well as electricity market for applications such as demand response and energy trading. Generally, devices in grid edge domain exists independently to perform its specific functions. The information model and communication standards in these devices vary depending on the implementation by its manufacturers. This pose challenges for integration works which may require these devices to exchange information with each other. Therefore, this paper aims to design and proposeamulti-function virtual intelligent electronic device (IED) which capable of performing various applications at grid edge domain. The virtual IED utilizes standardized data model and semantics based on IEC 61850 standard. Information exchange based on IEC 61850 is then simulated between the virtual IED and a Client Simulator. The results indicate successful communication and information exchange based on IEC 61850 standard hence demonstrates the potential applications of the standard for grid edge domain. 10 30 2019 2282 2287 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A2664.109119 https://www.ijeat.org/portfolio-item/a2664109119/ Faculty of Technology Management and Business, UniversitiTun Hussein Onn Malaysia Rosmaini Tasmin Muazu Hassan Muazu Dangote Business School, Bayero University Kano, Nigeria Lai Fong Woon Faculty of Management and Humanities, Universiti Technology Petronas, Malaysia Josu Takala Faculty of Technology and Innovations, University of Va’asa, Finland Activities of the oil and gas sector operations are highly complex, from oil rigs to refining and transportation. It is against this backdrop that companies opt for operational excellence to control the complexities, of which failure to manage the situation, assets, peoples and profit could be lost. This paper is aimed at determining how integrated operations influences operational excellence in the oil and gas sector. This is with a view to help in facilitating effective operational excellence implementation in the oil industry. Quantitavive survey research approach was adopted, questionnaire was used to collect data from 120 respondents. The result shows that all the postulated integrated operations factors have significant effect on operational excellence. It concludes that integrated operations are the way forward for condition monitoring and maintenance of oil sector assets, people and process for optimising production, operational efficiency, reduced health and safety risks and environmental performance. 10 30 2019 2288 2294 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A2622.109119 https://www.ijeat.org/portfolio-item/a2622109119/ Institute of Energy Infrastructure, Universiti Tenaga Nasional,43000 Kajang, Malaysia Rasyikin Roslan Rohayu Che Omar Institute of Energy Infrastructure, Universiti Tenaga, Nasional,43000 Kajang, Malaysia Intan Nor Zuliana Baharuddin Institute of Energy Infrastructure, Universiti Tenaga Nasional,43000 Kajang, Malaysia Warishah Abdul Wahab Institute of Energy Infrastructure, Universiti Tenaga Nasional,43000 Kajang, Malaysia Faten Syaira Buslima Institute of Energy Infrastructure, Universiti Tenaga Nasional,43000 Kajang, Malaysia A geo-environmental evaluation to build and maintain the transmission tower often requires a large amount of spatial information to determine foundation and slope stability. Geo-electrical or resistivity measurements are capable of managing large amounts of spatially related information, enabling various layers of data to be integrated.These geophysical methods are readily available can assist engineering geologist and geotechnical engineers in obtaining the material properties and boundaries of sub-surface materials.Multi-criteria analyses are carried out to assess the development suitability of the transmission tower's geo-environment based on properly measured and weighted variables. It is demonstrated that Geo-electrical or resistivity measurements have high functionality for geo-environmental assessments. 10 30 2019 2295 2300 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A2706.109119 https://www.ijeat.org/portfolio-item/a2706109119/ Department of Civil Engineering, Gokaraju Rangraju institute of Engineering and Technology, Hyderabad, India, Dr. T. SRINIVAS G.SUKESH REDDY Department of Civil Engineering, Gokaraju Rangaraju institute of Engineering and Technology, Hyderabad, India, Construction is the one the fast growing field in the worldwide. There are many environmental issues connected with the manufacture of OPC, at the same time availability of natural coarse aggregate is getting reduced. Geopolymer binder and recycled aggregates are promising alternatives for OPC and natural coarse aggregates. It is produced by the chemical action of inorganic molecules and made up of Fly Ash, GGBS, fine aggregate, coarse aggregate and an alkaline solution of sodium hydroxide and sodium silicate. 10 M sodium hydroxide and sodium silicate alkali activators are used to synthesis the geopolymer in this study. Recycled aggregates are obtained from the construction demolished waste. The main focus of this work is to find out the mechanical properties of geopolymer concrete of grade G40 when natural coarse aggregate(NCA) is replaced by recycled coarse aggregate in various proportions such as 0%, 10%, 20%, 30%,40% and 50% and also to compare the results of geopolymer concrete made with recycled coarse aggregates(RAGPC) with geopolymer concrete of natural coarse aggregate(GPC) and controlled concrete manufactured with recycled aggregates(RAC) and controlled concrete of natural coarse aggregates(CC) of respective grade. It has been observed that the mechanical properties are enhanced in geopolymer concrete, both in natural coarse aggregate and recycled coarse aggregate up to 30% replacement when it is compared with the same grade of controlled concrete. 10 30 2019 2301 2304 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F9124.109119 https://www.ijeat.org/portfolio-item/f9124088619/ Department of Communication Technology and Network, Faculty of Computer Science and Information Technology, University Putra Malaysia, Serdang Nur Khaleeda Othman Masnida Hussin Department of Communication Technology and Network, Faculty of Computer Science and Information Technology, University Putra Malaysia, Serdang Raja Azlina Raja Mahmood Department of Communication Technology and Network, Faculty of Computer Science and Information Technology, University Putra Malaysia, Serdang Nowadays, there is a trend in business organization to use social media as a medium to get feedback from customers. This gives advantage in improving the business values such as increasing customers’ satisfactions and building better company reputation. However, the response and feedback from the customers are varies and hold different perspectives. It might be led to ambiguous answer.In this work, we utilized Naïve Bayes machine learning approach for analyzing sentiment at social media on transportation services. We collected all feedback from Facebook and Twitter about transportation services. From the unstructured comments and feedback, we classified accordingly to determine the related scope of the sentiment. By using the Naïve Bayes method those massivecomments and feedback are presented in appropriate way and easier to understand. 10 30 2019 2305 2308 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A2636.109119 https://www.ijeat.org/portfolio-item/a2636109119/ Faculty of Computer Science, Universitas Indo Global Mandiri Jl. Jenderal A. Yani, Palembang, Indonesia Rendra Gustriansyah Boy Gilang Ramadhan Faculty of Medicine, UniversitasMuhammadiyah PalembangJl. JenderalSudirmanNo. 629, Palembang, Indonesia Nazori Suhandi Faculty of Computer Science, Universitas Indo Global Mandiri Jl. Jenderal A. Yani, Palembang, Indonesia Ahmad Sanmorino Faculty of Computer Science, Universitas Indo Global Mandiri Jl. Jenderal A. Yani, Palembang, Indonesia John Roni Coyanda Faculty of Computer Science, Universitas Indo Global Mandiri Jl. Jenderal A. Yani, Palembang, Indonesia The term non-permanent employee first appeared in the rule of law, namely in Act Number 13 Year 2003 concerning Manpower.This Act has an impact on the emergence of clarity about staffing status so that the salaries obtained by employees do not match their workload.Therefore, this study aims to determine employees who are eligible to earn the same income at one of the private universities in Palembang based on university's strategic plan, namely class, employment status, membership, and education permit using the Naïve Bayes method. The results showed that the highest accuracy of predictive conclusions for non-permanent and permanent employees is 83.33%, while the lowest accuracy value is 50%. 10 30 2019 2309 2312 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A2627.109119 https://www.ijeat.org/portfolio-item/a2627109119/ College of Graduate Studies, Universiti Tenaga Nasional Jalan Ikram-UNITEN, Kajang, Selangor Darul Ehsan, Malaysia Ahmad Aabed Al-Hayy Al-Dalaien Sulfeeza Mohd Drus Department of Information Systems, Universiti Tenaga Nasional Jalan Ikram-UNITEN, Kajang, Selangor Darul Ehsan, Malaysia Hairoladenan Kasim College of Graduate Studies, Universiti Tenaga Nasional Jalan Ikram-UNITEN, Kajang, Selangor Darul Ehsan, Malaysia Knowledge transfer is vital for the successful organization. Majority of previous studies focused on business and educational organization. Few in the field dealt with knowledge transfer in hospitals. This study aims to develop a conceptual model for knowledge transfer in hospitals. Based on the literature review, this study proposes a conceptual framework for knowledge transfer motivation in hospitals based on three motivational aspects; (i) the extrinsic motivational factors such as the promotions and appraisals, (ii) the intrinsic motivational factors such as the altruism, and absorptive capacity, and (iii) the ideal distribution of extrinsic and intrinsic based on the quality and quantity of knowledge transfer that conducted by the knowledge sources and recipients. The conceptual model was tested using a data collected for a pilot study. 10 30 2019 2313 2319 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A2670.109119 https://www.ijeat.org/portfolio-item/a2670109119/ School of Computer Sciences, Universiti Sains Malaysia ZaherAli Al-Sai Rosni Abdullah School of Computer Sciences, Universiti Sains Malaysia Mohd Heikal Husin School of Computer Sciences, Universiti Sains Malaysia SharifahMashita Syed-Mohamad School of Computer Sciences, Universiti Sains Malaysia Big Data could be used in any industry to make effective data-driven decisions. The successful implementation of Big Data projects requires a combination of innovative technological, organizational, and processing approaches. Over the last decade, the research on Critical Success Factors (CSFs) within Big Data has developed rapidly but the number of available publications is still at a low level. Developing an understandingof the Critical Success Factors (CSFs) and their categoriesare essential to support management in making effective data-driven decisions which could increase their returns on investments.There islimited research conducted on the Critical Success Factors (CSFs) of Big DataAnalytics (BDA) development and implementation.This paper aims to provide more understanding about the availableCritical Success Factors (CSFs) categoriesfor Big Data Analytics implementation and answer the research question (RQ) “What are the existing categories of Critical Success Factors for Big Data Analytics”.Based on a preliminary Systematic Literature Review (SLR) for the available publications related to Big Data CSFs and their categories in the last twelve years (2007-2019),this paper identifiesfive categoriesfor Big Data AnalyticsCritical Success Factors(CSFs), namelyOrganization, People, Technology, Data Management, and Governance categories. 10 30 2019 2320 2324 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A2657.109119 https://www.ijeat.org/portfolio-item/a2657109119/ College of Computing and Informatics, Universiti TenagaNasional, Malaysia.UNITEN R&D Sdn. Bhd. Farhah Amaliya Zaharuddin Nazrita Ibrahim College of Computing and Informatics, Universiti TenagaNasional, Malaysia, Institute of Informatics and Computing in Energy, Universiti TenagaNasional, Malaysia. Eze Manzura Mohd Mahidin College of Computing and Informatics, Universiti TenagaNasional, Malaysia Azmi Mohd Yusof College of Computing and Informatics, Universiti TenagaNasional, Malaysia Mohd Ezanee Rusli College of Computing and Informatics, Universiti TenagaNasional, Malaysia Given that stresshas affected many people and is becoming an important issue to address, the development of an application that can help people to relax and therefore reduce stress is becoming important. One of the solutions is the use of virtual reality (VR) in stress therapy. In this paper, we evaluate a virtual reality application developed for stress therapy, and highlighted the issues associated with such application. Based on the issues, we proposed a component framework which can be used to develop a VR application for stress therapy which provides holistic experience to the users. 10 30 2019 2325 2329 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A2656.109119 https://www.ijeat.org/portfolio-item/a2656109119/ Research Associate, School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India, Prathik. A Anuradha. J. Associate Professor, School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India, Uma. K Associate Professor, School of Advanced Science and Engineering, Vellore Institute of Technology, Vellore, India, The main Objective of Data mining in agriculture is to improvise the productivity based on the data observed and timelines of cultivation. Spatial Data mining, a key to capture the data by proposing sensors on a particular geographical location and observe various parameters to enhance the productivity based on the statistical analysis of data collected. In general, Data mining is an anticipating measurement and prognosticates the various data sets and mutate into useful data sets which can be applied on various applications. In this paper, data mining is applied in bridging the soil conditions to the applicable crop for cultivation in enhancing the productivity and multiple crops cultivation for enriched productivity based on the data sets acquired. A Statistical analysis resulted from a backend algorithm with the data sets and displayed as dashboard with the forecasted productivity. A Grid based clustering algorithm is adhered at the backend for performing analysis on the collected data sets results crop selectivity & productivity timelines. Geographical analysis forms a grid pattern with multiple data sets as matrix results in multiple crop selectivity based on the soil conditions and analyzed data sets obtained from various sensor parameters on a particular location. Data visualization is performed after the algorithmic process at the backend and data stored in the cloud server. Spatial Survey & Collective data Sets analyzed with the algorithm are used to elevate the Crop Selectivity and productivity on a soil based on the Biological Predicts, defoliant and manure usage timelines yields Improved Monetary generation. 10 30 2019 2330 2337 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1377.109119 https://www.ijeat.org/portfolio-item/a1377109119/ Institute of Informatics and Computing Energy, Universiti TenagaNasional, Malaysia Sumayyah Dzulkifly Wahidah Hashim Institute of Informatics and Computing Energy, Un-iversiti TenagaNasional, Malaysia Ahmad Fadzil Ismail IIUM Strategic Technologies and Engineering Research Unit, Research Management Center, International Islamic Uni-versity Malaysia Mischa Dohler Department of Informatics, 30 Aldwych, King’s Col-lege London, WC2B 4BG London, United Kingdom We are in the age where business growth is based on how user-centric your services or goods is. Current research on wireless system is more focused on ensuring that user could achieve optimal throughput with minimal delay, disregarding what user actually wants from the services. Looking from con-nectivity point of view, especially in urban areas these days, there are multiple mobile and wireless access that user could choose to get connected to. As people are looking toward machine automa-tion, we understand that the same could be done for allowing users to choose services based on their own requirement. This paper looks into unconventional, non-disruptive approach to provide mobile services based on user requirements. The first stage of this study is to look for user association from three new perspectives. The second stage involved utilizing a reinforcement learning algorithm known as q-learning, to learn from feedbacks to identify optimal decision in reaching user-centric requirement goal. The outcome from the proposed deployment has shown significant improvement in user association with learning aware solution. 10 30 2019 2338 2344 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A2666.109119 https://www.ijeat.org/portfolio-item/a2666109119/ Ibn Tofail Faculty of Science, Laboratory of Agro-physiology, Biotechnology, Environment and Quality, Kenitra, Morocco. Abdelfattah Lakhal Belala Asmae Laboratory of Biotechnology and Environment,Biology department,Faculty of Sciences,IbnTofail University,BP. 133 Kenitra 14,000, Morocco. Chaouch Abdelaziz Ibn Tofail Faculty of Science, Laboratory of Agro-physiology, Biotechnology, Environment and Quality, Kenitra, Morocco. Renewable freshwater is a vital resource for life. Today, economic development goes hand in hand with the increase in consumption and the emergence of problems of availability or quality. The wastewater is treated in a wastewater treatment plant (Step) was late to reduce emissions and improve the protection of ecosystem quality. This study is the objective of ' exploring the cleansing station performance. The results show that the station ' Hociema by low load activated sludge allows eliminates bout 30 % to 70% for BOD5 . Nevertheless, the chemical oxygen demand is eliminated between 56% and 73% , and the COD/BOD5 ratio shows the biodegradable nature of the effluents that can be treated by a biological system, ie activated sludge treatment. from the city of Hoceima performing. 10 30 2019 2345 2349 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F9142.109119 https://www.ijeat.org/portfolio-item/f9142088619/ Department of Mathematics,Sathyabama Institute of Science and Technology, Chennai, India A.Antony Mary A. Amutha Department of Mathematics,The American College, Madurai, India Many quality measures have been defined for graph drawings. In order to optimize these measures, slope number is considered to minimize the distinct edge slopes. The edges of the graphs are designed here as straight line segments. A number of distinct slopes required to draw the graph is called slope number. In this paper the slopenumber is discussed for known parallel architectures like hypercube, butterfly and benes networks. In addition to that the characterization of these networks is investigated and the results are observed for the defined problem. 10 30 2019 2349 2352 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A2630.109119 https://www.ijeat.org/portfolio-item/a2630109119/ Faculty of Computer Science & Information Technology Universiti Putra Malaysia 43400 UPM Serdang Selangor, Malaysia Sufri Muhammad Novia Admodisastro Faculty of Computer Science & Information Technology Universiti Putra Malaysia 43400 UPM Serdang Selangor, Malaysia Hafeez Osman Faculty of Computer Science & Information Technology Universiti Putra Malaysia 43400 UPM Serdang Selangor, Malaysia Norhayati Mohd Ali Faculty of Computer Science & Information Technology Universiti Putra Malaysia 43400 UPM Serdang Selangor, Malaysia Most of Service-Based Applications (SBAs) have to be changed after their first deployment not solely due to the changing system requirements as well as of continuous change of the environment itself. With the growth of web service paradigm, there is a need for an efficient mechanism in dynamic adaptation process to offer users a better service experience. In particular, context-aware can be adapted in dynamic adaptation by considering user's contexts and device's contexts. Context awareness will be a key area for Mobile Cloud Learning (MCL) environment as it helps in the reasoning process to provide correct education resources for learners' prospect. Contextual information are represented using semantic-based approach for high expressiveness and formal representation for reasoning technique. However, dynamic adaptations frameworks in previous research are still lacking in terms of contextual information of the learner and device, and quality of services (QoS) were not considered. Besides, there is limited support of semantic expressiveness in terms of contextual information and services by using solely semantic-based technique. This paper proposes Dynamic Adaptation in Context Aware Mobile Cloud Learning (DACAMoL) framework to support adaptation process in MCL using semantic-based approach. The framework is applied in MCL mobile application that offers basic learning language. 10 30 2019 2353 2357 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A2652.109119 https://www.ijeat.org/portfolio-item/a2652109119/ Research Scholar, Department of Computer Science and Engineering, KL Deemed to be University, Vijaywada, A.P., India. Anilkumar V. Brahmane Dr. B. Chaitanya Krishna Professor, Department of Computer Science and Engineering, KL Deemed to be University, Vijaywada, A.P., India. Right by and by the Colossal Information applications, for case, social orchestrating, helpful human administrations, agribusiness, keeping cash, stock show, direction, Facebook and so forward are making the data with especially tall speed. Volume and Speed of the Immense data plays a fundamental bit interior the execution of Colossal data applications. Execution of the Colossal data application can be affected by distinctive parameters. Quickly watch, capacity and precision are the a significant parcel of the triumphant parameters which impact the by and gigantic execution of any Huge data applications. Due the energize and underhanded affiliation of the qualities of 7Vs of Colossal data, each Colossal Information affiliations expect the tall execution.Tall execution is the foremost obvious test within the display advancing condition. In this paper we propose the parallel course of action way to bargain with speedup the explore for closest neighbor center. k-NN classifier is the preeminent basic and comprehensively utilized method for gathering. In this paper we apply a parallelism thought to k-NN for looking the another closest neighbor. This neighbor center will be utilized for putting lost and execution of the remarkable data streams. This classifier unequivocally overhaul and coordinate of the out of date data streams. We are utilizing the Apache Begin and scattered estimation space affiliation for snappier evaluation. 10 30 2019 2358 2365 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1382.109119 https://www.ijeat.org/portfolio-item/a1382109119/ Research Scholar, Sri S.R.amasamy Naidu Memorial College, Sattur, Tamil Nadu, India E. Radhamani K. Krishnaveni Associate Professor, Sri S.R.amasamy Naidu Memorial College, Sattur, Tamil Nadu, India Attention-deficit/hyperactivity disorder (ADHD) is highly associated with brain abnormality. In this paper, an evaluation of structural brain tissue abnormalities to diagnose ADHD is proposed. A Brain Image Data Set containing 40, T2 axial Human ADHD Brain MR Images is created, normalized, preprocessed by Skull stripping method and Caudate Nucleus(CN), Grey Matter(GM) and White Matter(WM)data sets are formed by segregating the structural brain parts CN, GM and WM using Fuzzy C-Means algorithm. The texture, intensity and shape based features of each data set is extracted, and the images with abnormal (reduced) volume and shape are classified with the help of Pearson’s chi-squared (χ2) test by statistical measures and machine learning classifiers. The results show that out of 40, the brain tissues of 25 ADHD brain images are found with reduced volume and size of all CN, GM and WM and remaining images are found with at least any one of these abnormality compared to control group. The findings confirm that ADHD is a brain disorder which mainly affects the growth of the brain tissues and recommends the physicians to initiate the diagnosis process of ADHD with MRI brain scans instead of high risk medication and counseling among the children. 10 30 2019 2366 2372 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F9180.109119 https://www.ijeat.org/portfolio-item/f9180088619/ Department of Computer Science and Engineering, MATS School of Engineering and Information Technology, Aarang, Raipur, India Sapna Jain *Anupam Choudhary Department of Computer Science and Engineering, Kalaniketan Polytechnic College Jabalpur, India Anurag Sharma Department of Computer Science and Engineering, MATS School of Engineering and Information Technology, Aarang, Raipur, India Brijesh Patel Department of Aeronautics Engineering, MATS School of Engineering and Information Technology, Aarang, Raipur, India In this paper, we present a review of on hand IDS (Intrusion Detection Techniques) for DDoS assaults. Interruption discovery framework is a well known and computationally costly task. We additionally clarify the essentials of interruption identification framework. We represent the present methodologies for Intrusion Detection framework. From the expansive assortment of proficient procedures that have been created we will look at the most significant ones. Their qualities and shortcomings are likewise researched. For reasons unknown, the conduct of the calculations is substantially more comparative as not out of the ordinary. 10 30 2019 2373 2382 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F9201.109119 https://www.ijeat.org/portfolio-item/f9201088619/ Dept. of Computer Science, SJBIT, Bangalore, India. * Shreyas Rangappa Naveen C Dept. of Computer Science, SJBIT, Bangalore, India. Chethan H K Dept. of Computer Science, University of Mysore, Mysore, Raghunandan K S Dept. of Computer Science, University of Mysore, Mysore, India. Sunil C Dept. of Computer Science, University of Mysore, Mysore, India. A distinctive Deep Convolution Neural Network (CNN) outline architecture model is presented in this work which proficiently signify complex image features. With two convolution layers implementation of feature extraction is carried out successfully and provides a well-built biometric verification system by using physiological traits Palm print and Hand vein for development of our system. The formation of CNN hyper parameters carried out in numerous experiments such as filters and its size in each layer, number of convolution layers needed, batch size, iterations, learning rate is a paramount and epochs defining these factors are truly dependent on the nature of data and its size. The new method presented in our model has been part with and it gives 99% of GAR in biometric verification of unimodal system and extremely the experimentation has condensed results when combined with deep feature extraction and classification outcomes. 10 30 2019 2383 2386 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F9217.109119 https://www.ijeat.org/portfolio-item/f9217088619/ Dept. of Inorganic and Analytical Chemistry, Andhra University,Visakhapatnam, India. Ch. Jagadeesh M.L.V.Prasanna. Ch Dept.of Inorganic and Analytical Chemistry, Andhra University, Visakhapatnam, India. D.Anand Kumar A.U. College of Pharmaceutical Sciences, Andhra University, Visakhapatnam, India. Dr.Ch. Sudhakar Asst.Professor Dept. of .Chemistry,Gitam (Deemed to be University), Visakhapatnam., India. Dr.B.B.V. Sailaja* Associate professor, Dept. of Inorganic and Analytical Chemistry, Andhra University,Visakhapatnam, India. CuBi2O4 nanoparticles (NPs) were prepared by Co-precipitation strategy and portrayed by UV–noticeable spectroscopy, X-beam diffraction (XRD), Fourier Transform Infrared (FT-IR), Scanning Electron Microscope (SEM) and Energy Dispersive Spectroscopy (EDS) examination. The blended NPs were exceptionally steady, circular and crystallite size was determined as 68.29 nm. In addition, hydroxyl radicals have been recognized in the photocatalytic response blend by utilizing Terephthalic acid in photoluminescence testing method. The proficiency of antibacterial movement of CuBi2O4 NPs was assessed against Escherichia Coli (MTCC-443).The cytotoxicity action of CuBi2O4 NPs was assessed by Sulforhodamine B (SRB) measure against A549 lung malignant growth cell lines and affirmed that CuBi2O4 NPs have cytotoxicity action. 10 30 2019 2387 2393 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F9222.109119 https://www.ijeat.org/portfolio-item/f9222088619/ Research scholar Electrical Engineering, CU shah University, Wadhwan, India. Nayana Prajapati Nimit Shah ASSOCIATE PROFESSOR Electrical Dept CU shah University wadhwan, India. Dr. Dhaval Bhojani Assistant Professor in Department of Electronics & Communication Engineering in Government Engineering College Rajkot, Gujarat, India. This paper describes a different filter for power quality improvement. It deals with the problem related to harmonics due to the nonlinear load. The Harmonic current is drawn with the aid of the nonlinear burden from the supply which results in a distortion of the voltage waveform in a supply-side. This distorted voltage and current may make conductors heat up and can lessen the effectiveness and future of the gear. With the goal that the decrease of harmonics is significant in nowadays life. Here arrangement dynamic channel, shunt dynamic channel, and passive shunt channels are discussed. This filter is utilized to make up for sounds and receptive power. Three-phase thyristor loads are taken as a nonlinear load. For thyristor 180° scheme is used here. Thyristors are fired for two different values of firing angle 0° and 60°. The exhibition of three stage shunt dynamic power channel utilizing instantaneous power hypothesis with PI controller is clarified in this paper. In this work, an arrangement dynamic channel for voltage pay has been confirmed utilizing Synchronous Reference Frame Theory for the age of the reference voltage which is contrasted and steady voltage for heartbeat age utilizing hysteresis band PWM. Simulations are carried out using MATLAB/SIMULINK. simulation results are presented. 10 30 2019 2394 2400 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F9224.109119 https://www.ijeat.org/portfolio-item/f9224088619/ College of Engineering, Universiti TenagaNasionalKm 7, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia Faridah B Noreliza A. M College of Engineering, Universiti TenagaNasionalKm 7, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia Noraini M. N College of Engineering, Universiti TenagaNasionalKm 7, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia Fadhilah A. R College of Engineering, Universiti TenagaNasionalKm 7, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia The College of Engineering in Universiti TenagaNasional aims to continuously achieve higher rate of its engineering graduates. However, the rate of students been terminated from pursuing their studies due to their failure in achieving the academic standard set by the university is a major concern. This paper is a preliminary study on the terminated students’ academic performance. It analyses the correlation between mathematics courses with some other early engineering courses taken by the terminated students and finds that prior qualification relates to the students general success in academics. This study also finds that the trend in the number of terminated students is decreasing over the years of study. 10 30 2019 2401 2406 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A2669.109119 https://www.ijeat.org/portfolio-item/a2669109119/ Faculty of Computer Science and Information Technology,Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia Muhammad Syahmi Mokhtar Yusmadi Yah Jusoh Faculty of Computer Science and Information Technology,Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia Novia Admodisastro Faculty of Computer Science and Information Technology,Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia Noraini Che Pa Faculty of Computer Science and Information Technology,Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia Amru Yusrin Amruddin MIMOS BerhadJalanInovasi 3, Technology Park Malaysia, 57000 Kuala Lumpur The uncontrollable spread of fake news through the net is irresistible in this globalization era. Fake news dissemination cannot be tolerated as the bad impacts of it to the society is really worrying. Furthermore, this will lead to more significant problems and potential threat such as confusion, misconceptions, slandering and luring users to share provocative lies made from fabricated news through their social media to occur. Within Malaysia context, there is lack in platform for fake news detection in Malay language articles and most of Malaysians received news through their social messaging applications. Fake news can be certainly solved by the aid of artificial intelligence which includes machine learning algorithms. The objective of this project is to propose a fake news detection model using Logistic Regression, to evaluate the performance of Logistic Regression as fake news detection model and to develop a web application that allows entry of a news content or news URL. In this study, Logistic Regression was applied in detecting fake news. Model development methodology is referenced and followed in this project. Based on existing studies, Logistic Regression showed a good performance in classification task. In addition, stancedetection approach is added to improve the accuracy of the model performance. Based on analysis made, this model within stance detection approach yields an excellent accuracy using TF-IDF feature in constructing this fake news model. This model is then integrated with web service that accepts input either news URL or news content in text which is then checked for its truth level through “FAKEBUSTER” application. 10 30 2019 2407 2410 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A2633.109119 https://www.ijeat.org/portfolio-item/a2633109119/ Research Scholar (Part-Time), Yogi Vemana University, YSR Kadapa-516005, Andhra Pradesh Shaik Abdul Mazeed Dr. Mahesh Chandra Associate Professor, Dr. B. R. Ambedkar Institute of Management and Technology, Baghlngampally Hyderabad-500044, Telanagana G. Murali Mohan Associate Professor, Dr. K.V. Subba Reddy School of Business Management, Kurnool-518218, Andhra Pradesh Vunnam Hari Babu Research Scholar (Part-Time), Yogi Vemana University, YSR Kadapa-516005, Andhra Pradesh Social media has become an inseparable part of human life. It allows customers and prospects to communicate directly about various products/services with their friends. This is just a replacement of word of mouth, which place a vital role and cheapest way of promoting product in traditional marketing. The other important and unique feature of social media is immediacy, which allows the customers to approach directly with the business people. Indeed it is helpful to both business people and customers as they can get the solutions with in no time unless it is a big damage. With the process, business people can maintain a sound relationship with the customers very easily as they are responding to their queries instantly. It is nothing but customer relationship management. It is another pivotal element in marketing. All these features will influence the customers a lot in making their purchase or buying decisions. Consumer behavior is the study of when, why, how, and where people do or do not buy product. It blends elements from psychology, sociology, social anthropology and economics. It attempts to understand the buyer decision making process, both individually and in groups. The customer buying or purchasing behavior is an evergreen marketing concept despite ample research has been done on the topic over last few decades. It would be an exaggeration, if we say without covering this concept no marketing text book will complete, that’s the significance of this particular concept. One cannot imagine a marketing book without finding a concept of customer buying behavior. Usually a customer buying behavior will be influenced by a set of internal and external factors like social, economical or financial, cultural, demographic, psychological and of course personal factors. In this day and age, online marketing, social media marketing, digital marketing are buzz words and strongly influencing the customer behavior and in making purchase decisions subsequently. 10 30 2019 2411 2413 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1348.109119 https://www.ijeat.org/portfolio-item/a1348109119/ Research Scholar, Department of CSE, Achary Nagarjuna University, Guntur M. Sreerama Murty Dr. N. Nagamalleswara Rao Professor, Department of IT, RVR & JC College of Engineering, Guntur. Various thoughts of provenance for database inquiries have been proposed and examined in the previous couple of years. In this article, we detail three primary thoughts of database provenance, portion of their applications, and investigate among them. In particular, we audit why, how, and where provenance, depict the connections among these ideas of provenance, and portray a portion of their applications in certainty calculation, see upkeep and update, troubleshooting, and explanation spread. Provenance in Databases audits explore in course of recent years on why, how, and where provenance, explains connections among these ideas of provenance, and depicts portion of their applications in certainty calculation, see upkeep and update, troubleshooting, and comment engendering. This paper is to give review distributed writing dedicated to the subject of putting away, following, and questioning provenance in connected information It might be utilized as guide for discovering further articles, in any field of study, moderately rapidly. Provenance in Databases is planned for designers and specialists who might want to acclimate themselves with the establishments, just as the numerous difficulties in the field database provenance. Specifically, ability to store, track, and inquiry provenance information is turning into crucial element present day triple stores. We present strategies stretching out local RDF store to proficiently deal with the capacity, following, and questioning of provenance in RDF information. We depict solid and justifiable detail manner in which results were gotten from the information and how specific bits information were joined to answer question. In this manner, we present systems to tailor inquiries with provenance information. 10 30 2019 2414 2417 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F9228.109119 https://www.ijeat.org/portfolio-item/f9228088619/ Professor of Civil Engineering, NallaNarasimha Reddy Education Society’s group of Institutions, Hyderabad. T.S. India. * Dr Awari Mahesh Babu This paper proposes a convergence point progression based arrangement abnormality figuring out for the multi-class dynamic traffic undertaking (DTA) difficulty which includes bodily traces using the plausibility of technique diploma. An extragradient framework that requires just pseudomonotonicity and Lipschitz improvement for get collectively is made to control the problem. We likewise gift a automobile truck association question, which imparts that enticing vans to travel or broadening the truck stream in a shape can enhance organize execution for cars the diploma that the immovable car journey time. Numerical fashions are set up to layout the centrality of considering specific vehicle sorts and their joint endeavors in a DTA model, the influences of various parameters at the occasion of the function, and the presentation of the course of movement figuring.Existing thoughts blowing site visitors project definitions necessarily assume the time-subordinate O-D excursion arrange and the time-subordinate structure route of motion to be known from the before for the whole finding out skyline. Notwithstanding, there's moreover a need to provide enduring manner statistics to organize clients below ATIS/ATMS whilst unexpected groupings in O-D desires in addition as structure attributes (for example most distant point decay on unequivocal relationship in attitude on occasions) take place. This paper demonstrates a transferring skyline device for preserving an eye out for the perpetual traffic project trouble, in which an ATIS/ATMS controller is needed to have O-D needs up to the existing time and area amongst time, and present moment and medium-time period assessments of destiny O-D needs. The mission issue is explained in semi predictable for a close by time period destiny period (or degree) to select a great manner embraced plot for customers coming into the shape sensibly for the brief move time variety. The next model is jumbled due to unfold everyday conditions portraying this issue. Two nuances are mentioned problem to whether an ability to reroute automobiles in tour exists. A moving skyline method approach benevolent to a semi steady usage of an change customer classes (MUC) time-subordinate traffic errand game-plan calculation created beforehand of time with the aid of the manufacturers is portrayed. Use issues are talked about from the point of view of ATIS/ATMS applications. 10 30 2019 2418 2424 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F9231.109119 https://www.ijeat.org/portfolio-item/f9231088619/ Department of Textile Science and Designing, S.N.D.T University, Mumbai, India. Juhi Agarwal* Dr. Ela Manoj Dedhia Associate Professor & Head of Department Textile & Fashion Technology, Nirmala Niketan College of Home Science, Mumbai, India. Green fibres like flax, jute, sisal, kenaf, mesta which has been used for more than 8000 years are the present and the future raw materials not only for the textile industry but also for modern eco- friendly composites, cosmetics, medicine, food, fodder, bio- polymers, agro fine chemicals and energy. Potentially under optimum cultivation conditions they cause little or no detrimental effect on the eco- system and they can be grown in different climatic zones. Organically cultivated, they recycle the carbon dioxide in the earth’s atmosphere. In the present study the sustainable extraction and characterization of Hibiscus Sabdariffa (mesta) were studied and documented along with the chemical composition and SEM of the fibre. The fibre was extracted from the stems by microbial retting technique and its composition was studied. The fibre was extracted immediately after harvesting and post harvesting. 10 30 2019 2425 2428 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9968.109119 https://www.ijeat.org/portfolio-item/a9968109119/ Department of Mechanical Engineering, SDM College of Engineering and Technology, Dharwad, Karnataka, India Sadashiva Lalsangi V.S. Yaliwal Department of Mechanical Engineering, SDM College of Engineering and Technology, Dharwad, Karnataka, India N. R. Banapurmath Department of Mechanical Engineering, BVB College of Engineering and Technology, KLE Technological University, Hubli, Karnataka, India Present work discusses experimental investigation to study the effect of biodiesel blends and re-entrant combustion chamber on the performance, combustion and exhaust emissions. In the first phase of the work, diary scum oil methyl ester (DiSOME) biodiesel was produced by conventional transesterification process and is blended with conventional diesel fuel in steps of 20 (by volume). Further in the next phase of the work, influence of blended fuel properties and re-entrant combustion chamber (RCC) on the combustion and emission characteristics of a direct injection diesel engine has been investigated. Results of investigation showed that B20 operation with RCC provided increased thermal efficiency by 3-4% with 10% increased smoke, 10-20% decreased hydrocarbon (HC) and carbon monoxide (CO) and 8-10% increased nitric oxide (NOx) emission levels compared to B100 operation. Further increased cylinder pressure and heat release rate were observed with B20. However, Thermal efficiency and NOx emissions are comparatively lower and smoke, HC and CO emissions were found to be slightly higher than base line diesel operation. 10 30 2019 2429 2439 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9971.109119 https://www.ijeat.org/portfolio-item/a9971109119/ M.Tech Computer Science and Technology, Department of Computer Science and Technology, Central University of Punjab, Bathinda, India. Vivek Sharan Dr. Amandeep Kaur Associate Professor, Department of Computer Science and Technology, Associate Dean, School of Engineering and Technology, Central University of Punjab, Bathinda, India. Most of the country suffering from the problem of counterfeit note. Indian is also part of such problem. As advance in technology, it is possible for anyone to print counterfeit note. Such counterfeit notes are produced without the legal sanction of Government and production of such notes degrades the economy of any country. After demonetization in India Newly 500 and 2000 currency notes are launched but due to misuse of advanced technology, fake currency of such notes are produced by counterfeiter due to its high value and circulated in most of the part of our country. With the production and circulation of such counterfeit notes, it becomes difficult for common people to differentiate whether the currency is real or fake as they differentiate on the basis of physical appearance which effects the economy of our country. Here a system is proposed to differentiate between real and fake note which is based on the image processing technique and implemented in MATLAB. In this technique, first the image of 500 and 2000 rupee note is captured through the digital camera and perform preprocessing in order to remove noise and then mean intensity of RGB channels of image is calculated and further the three different features including Latent image, RBI Logo and denomination numeral with Rupee symbol are extracted to differentiate between real and fake note. The performance of the proposed system achieves good accuracy rate. 10 30 2019 2440 2447 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9972.109119 https://www.ijeat.org/portfolio-item/a9972109119// Computer Science, Far Eastern University Institute of Technology, Manila, Philippines. Jennifer Contreras* Shadi Hilles Faculty of Computer and Information Technology, Al-Madinah Internationa University, Kuala Lumpur. Malaysia Zainab Binti Abubakar Faculty of Computer and Information Technology, Al-Madinah Internationa University, Kuala Lumpur. Malaysia. Essay writing examination is commonly used learning activity in all levels of education and disciplines. It is advantageous in evaluating the student’s learning outcomes because it gives them the chance to exhibit their knowledge and skills freely. For these reasons, a lot of researchers turned their interest in Automated essay scoring (AES) is one of the most remarkable innovations in text mining using Natural Language Processing and Machine learning algorithms. The purpose of this study is to develop an automated essay scoring that uses ontology and Natural Language Processing. Different learning algorithms showed agreeing prediction outcomes but still regression algorithm with the proper features incorporated with it may produce more accurate essay score. This study aims to increase the accuracy, reliability and validity of the AES by implementing the Gradient ridge regression with the domain ontology and other features. Linear regression, linear lasso regression and ridge regression were also used in conjunction with the different features that was extracted. The different features extracted are the domain concepts, average word length, orthography (spelling mistakes), grammar and sentiment score. The first dataset used is the ASAP dataset from Kaggle website is used to train and test different machine learning algorithms that is consist of linear regression, linear lasso regression, ridge regression and gradient boosting regression together with the different features identified. The second dataset used is the one extracted from the student’s essay exam in Human Computer Interaction course. The results show that the Gradient Boosting Regression has the highest variance and kappa scores. However, we can tell that there are similarities when it comes to performances for Linear, Ridge and Lasso regressions due to the dataset used which is ASAP. Furthermore, the results were evaluated using Cohen Weighted Kappa (CWA) score and compared the agreement between the human raters. The CWA result is 0.659 that can be interpreted as Strong level of agreement between the Human Grader and the automated essay score. Therefore, the proposed AES has 64-81% reliability level. 10 30 2019 2448 2457 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9974.109119 https://www.ijeat.org/portfolio-item/a9974109119/ M.Tech, Department of Food Processing Engineering, Karunya Institute of Technology and Sciences, Coimbatore Jonathan George Aksharaa Kannan M.Tech, Department of Food Processing Engineering, Karunya Institute of Technology and Sciences, Coimbatore R Emilin Renitta Assistant Professor, Department of Food Processing Engineering, Karunya Institute of Technology and Sciences, Coimbatore In the present study, pomegranate peel (Punica granatum) along with its secondary metabolites was incorporated into an indigenous product- Moong Dal Laddu, and checked for its total phenol content. The total activity of antioxidants in pomegranate peel was estimated and nutritive content of the product was enhanced in various in-vitro studies. The total phenolic content with brown sugar was obtained 236.93 mg/100g of final product which is higher compared to the sample with white sugar and control sample with 173.32 mg/100g and 16.45 mg/100g respectively. Due to the identification of high amount of antioxidant activity obtained from the peel, it has be used in the fortification of the indigenous product with claim of reducing of the risks related to cardiovascular diseases. 10 30 2019 2458 2460 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9979.109119 https://www.ijeat.org/portfolio-item/a9979109119/ Dept of EEE,VEL TECH MULTI TECH Dr.RANGARAJAN Dr.SAKUNTHALA ENGINEERING COLLEGE, Chennai, India. Dr.P.K. Mani* Dr.R. Rajagopal Dept of EEE, PSR ENGINEERING COLLEGE, Sivakasi, India. Dr.J. Shanmugapriyan Dept of EEE, VEL TECH MULTI TECH Dr.RANGARAJAN Dr.SAKUNTHALA ENGINEERING COLLEGE, Chennai, India. M. Vijayalakshmi Dept of EEE, VEL TECH MULTI TECH Dr.RANGARAJAN Dr.SAKUNTHALA ENGINEERING COLLEGE, Chennai, India. This paper explains how we can replace the conventional power-consuming mechanical relay based Engine Control Junction Box of ARJUN MBT Tank using Micro Controller. The aim of this paper is to minimize the size of existing ECJB and to reduce the complexity of operation. The existing ECJB has 4 normal relays, 16 special type relays and 4 critical relays for smooth operation of the engine and is hardwired, thus making it difficult to operate and troubleshoot. By using 8051 microcontroller we can overcome the existing problems of ECJB. It implements the following parameters and operation. • Starting Sequence • Starter Interlock • Sequential switching of Dust Eject motors • Display the sensor information to the driver • Automatic shutdown The advantage is that it possesses inbuilt fault diagnostic function. The size has been reduced to 1/4th of the existing ECJB, only indigenized components and relays are used and imported items are totally eliminated. 10 30 2019 2461 2466 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9982.109119 https://www.ijeat.org/portfolio-item/a9982109119/ Electrical & Electronics Engineering Department, Sharda University, Greater Noida, India. Premananda Pany* This paper presents a complete design and control of solar assisted passenger car electric engine which aims to overcome the disadvantages associated with present E-Rickshaw. Here a permanent magnet synchronous motor (PMSM) drive is considered as main electric engine fed from Battery and Solar PV cell. Generally in VSI fed PMSM drive the dc input voltage to the inverter is kept constant irrespective of the load demand. This leads to more losses in the dc bus and overall efficiency of the system decreases. This paper presents a noble control technique with variable dc link voltage to improve the efficiency of the PMSM drive by minimizing the dc link power losses. An additional separate PI controller is used to control the dc link voltage which adjusts dc- link voltage indirectly. The design of PI controller with basic principles is illustrated and the necessary conditions are analyzed. This control scheme is tested with a 25kW Permanent magnet synchronous motor (PMSM) drive suitable for application in electric vehicle. The effectiveness of the system is verified through simulation using Simulink/ MATLAB. 10 30 2019 2467 2471 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9987.109119 https://www.ijeat.org/portfolio-item/a9987109119/ Information Technology College, Imam Ja’afar Al-Sadiq University, Baghdad-Iraq Sattar J. Aboud Zinah S. Jabbar Information Technology College, Imam Ja’afar Al-Sadiq University, Baghdad-Iraq The article introduces an identity-based online/offline signature system for wireless sensor network (WSN). The authors claim that when the computation cost is low, the proposed system is more suitable for WSN. The authors also claim that their scheme provides multi-level use from offline information allowing the signer to reuse this before the calculated data within a limited time, unlike those used in the existing online/offline signature systems. The introduced system gave a promising outcome when used with a MICAz platform. MICAz platform is the mote 2.4HGz module wireless measurement system used for low-power WSN. 10 30 2019 2472 2476 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9993.109119 https://www.ijeat.org/portfolio-item/a9993109119/ Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia. Albina Luneva* Yury Lysenko Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia. Andrey Koshchaev Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia. Anton Nesterenko Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia. Viktor Guzenko Stavropol State Agrarian University, Stavropol, Russia. When developing veterinary or feed preparations, a mandatory procedure is the study of their toxicological properties in living bio-objects. The purpose of this research work was to study the toxicological effect of probiotic on the basis of autochthonous microflora of birds by identifying the parameters of acute, subacute and chronic toxicity, as well as irritating characteristics in experimental laboratory animals. In studies of subacute and chronic toxicity, the pharmacodynamics of a probiotic was studied by its effect on individual metabolic parameters, morphobiochemical composition of blood, and also the growth rate of experimental laboratory animals. A complex of toxicological studies of the developed biological product showed that the probiotic does not exhibit toxic and irritating properties, stimulates hematopoiesis, erythropoiesis, there is a slight increase in the mass of laboratory animals in connection with which it can be used for its intended purpose, regardless of the dose. 10 30 2019 2477 2483 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9997.109119 https://www.ijeat.org/portfolio-item/a9997109119/ Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia. Yury Lysenko* Albina Luneva Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia. Andrey Koshchaev Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia. Maria Lifentsova Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia. Evgeny Gorpinchenko Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia. Today, the use of microbial origin biological products in poultry farming is widespread. However, it was found that the use of living bacteria in such preparations is not always effective due to their inactivation under the action of enzymes located in the gastrointestinal tract. In this connection, it is promising to use their destroyed forms (lysates), which also have high biological properties. The aim of the scientific work was to assess the quality of the developed hydrolyzate of lactic acid bacteria and its compliance with regulatory documents. It was established that the studied lactobacillus hydrolyzate meets the requirements of the regulatory documentation for this biological product, does not have toxic and irritating effects on the body of laboratory animals, and therefore can be offered in industrial poultry farming to increase the safety and productivity of farm poultry. 10 30 2019 2484 2488 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9998.109119 https://www.ijeat.org/portfolio-item/a9998109119/ Associate Professor, Department of Electrical Engineering, Sri Venkateswara College of Engineering, Tirupati, India. *Suresh Penagaluru* Dr. Gowri Manohar. T Professor, Department of Electrical Engineering,S.VUniversity, Tirupati, India. With the modernization of loads using power electronic components and dynamic loads diminishes the power quality of the system. Integration of renewable energy sources is the best solution to meet the additional power demand and also to improve the power quality problems like low power factor and harmonics distortions. In this paper, an adaptive dynamic shunt active power filter is proposed to alleviate the power quality problems like current harmonic distortions and reactive power compensation. The proposed control strategy performance is examined under different source voltage conditions under IEEE standards. Photovoltaic system is integrated at DC link of the Adaptive dynamic shunt active power filter. Proposed system performance is studied by using MATLAB/SIMULINK Environment. 10 30 2019 2489 2496 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.C5537.109119 https://www.ijeat.org/portfolio-item/c5537098319/ Ph. D. Research Scholar, Dept. of ECE, Birla Institute of Technology, Mesra, (Deogarh Campus), Ranchi, Jharkhand, INDIA. Rachna Kumari* Dr. Mainak Mukhopadhyay HOD, Dept. of ECE, Birla Institute of Technology, Mesra (Deogarh Campus), Ranchi, Jharkhand, INDIA. The Global Positioning System (GPS) that guarantees the perfect location and period data has mostly used steering appliance for several applications. In this paper, Designing of Jamming-resistant GPS system receiver is propose to achieve impartial developments and the parameters are utilized to correctly compute the narrowband signals in the online version. The proposed algorithm can improve the faster convergence rate and improved inference correctness. The experimental results prove that the proposed method employs a good performance compared to the related methods in terms of Mean output capacity. 10 30 2019 2498 2501 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.D6032.109119 https://www.ijeat.org/portfolio-item/d6032048419/ Ph.D. Scholar, Department of Renewable Energy Engineering, MPUAT, Udaipur Er. Vijayendra Singh Sankhla Dr. Deepak Sharma Professor, Department of Renewable Energy Engineering, MPUAT, Udaipur Dr. Surendra Kothari Professor, Department of Renewable Energy Engineering, MPUAT, Udaipur Dr. Sudhir Jain Professor, Department of Renewable Energy Engineering, MPUAT, Udaipur Dr. Chitranjan Agarwal Assistant Professor, Department of Mechanical Engineering, MPUAT, Udaipur Biogas operated refrigeration system is being designed, fabricated and installed at Department of Renewable Energy Engineering, MPUAT, Udaipur for a 40 L capacity based on absorption principle. Developed biogas operated absorption refrigeration system has advantages of silent operation, no moving part. Developed system utilizes any heat source and therefore can operate anywhere, without electric utility infrastructure. In the presented research work analysis was done to identify the losses so that the performance of the developed refrigeration system can be evaluated & renewable energy resources can be used more efficiently to power refrigerators based on absorption principle. 10 30 2019 2502 2550 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.E7321.109119 https://www.ijeat.org/portfolio-item/e7321068519/ Department of Electrical Engg., Kadi Sarva Vishwavidhyalaya, Gandhinagar, Gujarat, India. Maulikkumar Pandya Dr J G Jamnani Department of Electrical Engg., Pandit Deendayal Petroleum University, Gandhinagar, Gujarat, India. This paper aims on improving the stability of a 9 bus power system under fault condition using coordination of FACTS device. Flexible A.C. transmission system (FACTS) can be regulated reliable with faster output and can improve local power grid status with control with appropriate control strategies in very small time period. Based on that, a particle swarm optimization (PSO) algorithm was executed, to design the coordinated parameter of static VAR compensator (SVC) and Thyristor Controlled Series Capacitor (TCSC). Simulation is performed on WSCC 9-bus system in MATLAB software. When 3 phase fault is applied near to generator, frequency and rotor angle changes accordingly. With coordinated control of FACTS devices with PSO has implemented both, near to its normal condition. PSO performed in this paper was structured on identifying the values of L and C of SVC and TCSC, for superior coordination. 10 30 2019 2506 2510 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F8144.109119 https://www.ijeat.org/portfolio-item/f8144088619/ Department of Mechanical Engineering, Universiti Tenaga Nasional, 43000 Kajang, Selangor, Malaysia M.L.M Shaath M.N.M. Ansar Institute of Power Engineering, Universiti Tenaga Nasional, 43000 Kajang, Selangor, Malaysia A. Atiqah Institute of Power Engineering, Universiti Tenaga Nasional, 43000 Kajang, Selangor, Malaysia, Uniten R&D Sdn. Bhd. Universiti Tenaga Nasional, 43000 Kajang, Selangor, Malaysia A. Hamdan Institute of Power Engineering, Universiti Tenaga Nasional, 43000 Kajang, Selangor, Malaysia, Uniten R&D Sdn. Bhd. Universiti Tenaga Nasional, 43000 Kajang, Selangor, Malaysia Poly Lactic Acid (PLA) is one of the most crucial aliphatic polyesters which is considered as one of the favourable options in environmentally friendly thermoplastic polymers since it could be biodegraded in certain conditions. PLA has been extensively used in the packaging, electronic industries, and household applications. As a result, the improvement of mechanical properties of PLA is necessary, which can be achieved through heat resistant materials such as Tungsten trioxide (WO3). The objective of this research was to investigate the tensile properties of PLA-WO3. The 3D printing process was employed to fabricate PLA-WO3 (3wt% WO3) and Neat PLA (control sample). The tensile test was conducted to investigate the effect of WO3 to the PLA. The results show that the tensile properties of PLA-WO3 were improved up to 75% as compared to Neat PLA. This result shows positive indication to the PLA-WO3 for many industrial applications. 10 30 2019 2511 2513 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A2694.109119 https://www.ijeat.org/portfolio-item/a2694109119/ Research scholar, Dr.SNS Rajalakshmi college of Arts and Science, Coimbatore ,Tamilnadu, India. Vijayakumar. R Dr.Karthikeyan. K Assistant Professor & Head2 Government Arts and Science College, Palladam, Tamilnadu, India. In the current era, usage of Infrared (IR) sensors, in the real world has been increased because of decrease in their cost. Many recent applications of IR images are included in the field of defence, medicine, astronomy, meteorology, industry and science. One of the main applications in the field of defence is person detection. However, IR images have unique challenges. Image fusion based on DWT superior things because it is a multiresolution approach, it allows picture disintegration in various parameters and provides directional information. Most of the existing methods used two or three different quality measures to measure the performance of the fused system. The present study used the ten quality metrics on all derived approaches and noted down various qualitative conclusions. Proposed system the base layers obtained and Further the proposed work found that, the methods based on wavelet transforms have compactness, directional selectivity and orthogonality. Due to these, DWT based fusion methods are used in literature when compared to pyramid decomposition based fusion methods. 10 30 2019 2514 2521 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F8238.109119 https://www.ijeat.org/portfolio-item/f8238088619/ Department of Thermo fluid, Faculty of Mechanical Engineering, University Technology Malaysia Faculty of Agriculture, University of Diyala, Iraq Nasir Salim Hassen* Nor Azwadi Che Sidik Department of Thermo fluid, Faculty of Mechanical Engineering, University Technology Malaysia. Malaysia – Japan International Institute of Technology (MJIIT), University Technology Malaysia The objective of this study is to investigate spray parameters for different 40°– 95° even flat fan nozzle angles for banding spraying application, such as spray pattern width and spray volumetric distribution at pressures of 2 and 3bar using different nozzle sizes (0.15, 0.2, 0.3, 0.4 gpm). Spray distribution data was extracted from spray analyzer system or patternator. The results showed that nozzle angle and pressure significantly affected the spray pattern width. In addition, as the nozzle size increased, the liquid volume and the peak height under the nozzle center increased. These results suggest that the use of bigger nozzle angles improved the spray volumetric distribution. 10 30 2019 2522 2525 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F8254.109119 https://www.ijeat.org/portfolio-item/f8254088619/ Department of Electrical and Electronics, Engineering, College of Engineering, UniversitiTenagaNasional, Kajang, 43000, Selangor, Malaysia Sharifah A. Shaaya Ismail Musirin Faculty of Electrical Engineering, UniversitiTeknologi MARA, Shah Alam, 40450, Malaysia Shahril I. Sulaiman Faculty of Electrical Engineering, UniversitiTeknologi MARA, Shah Alam, 40450, Malaysia Mohd H. Mansor Department of Electrical and Electronics Engineering, College of Engineering, UniversitiTenagaNasional, Kajang, 43000, Selangor, Malaysia Sharifah A. S. Mustaffa Department of Electrical and Electronics Engineering, College of Engineering, UniversitiTenagaNasional, Kajang, 43000, Selangor, Malaysia Karmila Kamil Department of Electrical and Electronics Engineering, College of Engineering, UniversitiTenagaNasional, Kajang, 43000, Selangor, Malaysia The advancement of Distributed Generation (DG) technologies have caused great impact to power system operation. The installation of DG has been expanded in both the transmission and distribution systems. Improper planning of DGs installation may lead to over-compensation or under-compensation. Thus, a reliable optimization is urgent to alleviate any undesirable event. This paper analyses the impact of multi-DGs installation utilizing a pre-developed hybrid optimization technique termed as Immunized-Brainstorm-Evolutionary Programming (IBSEP). It is imperative to study the effect of multi-DGs installation such that a relevant utility can make a correct decision, whether its installation is worth or vice versa. Rigorous study has been conducted in terms of identifying the optimal location and sizing, installed on transmission system for loss control involving different DG types. Comprehensive results embedded in this paper show that more optimal DGs of a particular type are superior to the other in controlling transmission system loss. 10 30 2019 2526 2533 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A2676.109119 https://www.ijeat.org/portfolio-item/a2676109119/ Department of Computer Science and Engineering University Visvesvaraya College of Engineering Bengaluru - 560001, India Buddesab Thriveni J Department of Computer Science and Engineering University Visvesvaraya College of Engineering Bengaluru - 560001, India Venugopan K R Department of Computer Science and Engineering University Visvesvaraya College of Engineering Bengaluru - 560001, India Integration of Cloud Computing and Wireless Sensor Network led tremendous growth in the development of Information Technology, during the trust and reputation of service providers for information technology play an essential role. Cloud computing is web-based computing was in the services based on the internet such as data, storage, and computing resources are delivered to the local devices through the internet. Wireless sensor network deals with monitoring, gathering of the information about the physical or environmental conditions. The integration of these two domains has tremendous advantages to improve the business infrastructure and performance worldwide. The security of data on the cloud and calculation of trust and reputation of the Cloud Service Provides (CSP) and Sensor Network Providers (SNP) are the issues for this new paradigm. To fulfill these issues This paper presents novel techniques, for 1) trust and reputation calculation 2) data security on cloud 3) choosing desirable CSP and SNP for the service. This paper proposes Data Security by taking into account the services of Wireless Sensor Network (WSN) and Cloud Service Providers. Our experimental results help users to choose the best service providers in case of both Cloud and Wireless Sensor Network. In addition to that, data security is provided using a data encryption algorithm. 10 30 2019 2534 2542 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F8334.109119 https://www.ijeat.org/portfolio-item/f8334088619/ Associate Professor, Department of Civil Engineering, Vidyavardhaka College of Engineering, MYSURU. Dr. SHILPA B S SHRUTHI G UG Student, Department of Environmental Engineering, Vidyavardhaka College of Engineering, MYSURU Particles of sizes between 1 and 100 nanometers are known as nanoparticles. The natural materials like plant leaf extract, bacteria and fungi for the synthesis of silver nanoparticles has numerous benefits. In this scenario, the main objective of this work is to utilize Delonix Regia pod extract for the synthesis of silver nanoparticles (NPs) and check its feasibility as disinfectant. Pod extract prepared was subjected to EDS analysis. Transformed silver NPs are coated onto GAC(1.5mm) and subjected to SEM analyses. Column study was carried to check the disinfecting action of silver NPs for varied contact time by monitoring MPN value. From this research work, it can be concluded as, for pod extract, peak absorbance was found at 360nm. Delonix Regia pod extract transforms into silver nanoparticles moderately to about 4.63-8.85%. Silver nanoparticles are coated onto Activated Carbon, dried and stored for extended period without loss of nanoparticles. At 30min contact time efficiency was found to be 63% and 71 for NP2.5 and NP5 respectively. Green synthesized silver nanoparticles are proved to be moderately effective in disinfecting contaminated water. 10 30 2019 2543 2547 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F8358.109119 https://www.ijeat.org/portfolio-item/f8358088619/