-5171ffc0182b6af927f-5efb 20220919072727582 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 07 30 2019 8 2 Department of ECE, Karunya Institute of Technology and Sciences, Coimbatore, India. Jasmine David.D Roopa Jayasingh.J Department of ECE, Karunya Institute of Technology and Sciences, Coimbatore, India. Jegathesan. V Department of EEE, Karunya Institute of Technology and Sciences, Coimbatore, India. Alvino Rock.C Department of CSE, Karunya Institute of Technology and Sciences, Coimbatore, India. Ubiquitous of modern era which utilises Hybrid Wireless Mesh Network (HWMN) topology which gave birth to ample of modern application which demands reliability, fault tolerance and scalability. HWSN topology utilises minimum of two or multiple standard network architectural topologies, in a fashion that the resultant network architecture doesn’t depict any particular topologies like bus, star or ring but as a combination of any of those standard topologies. Prime motive of the proposed Optimised Channel Assignment Algorithm (OCSA) is which focuses on priority oriented interference minimization for all the trees which are existed, and constraint in terms of delay for evolving tree addition. Interference Aware Bandwidth Reservation (IABR) provides controllability over data flow admission for end-to-end optimal bandwidth accommodation in Multi-Radio Multi-Channel (MRMC) wireless mesh network. Proposed Priority Based Interference Aware Bandwidth Reservation (PBIABR) utilises disseminated and polynomial-time heuristic oriented assignment in channel to minimize interference in WMN with the awareness of channel priority as a primary consideration. Interference and Priority of the channel are made indirectly proportional to each other. For the channel of high priority the path which has low interference is opted. In PBIABR the whole path delay constraint of tree is sub organised into multiple node, based on delay to identify the best node which embodies minimal interference. Dominant Performance Parameters (DPP) like Throughput, Packet Size, Propagation Interval and Average Energy under HWSN Scenario. All the DPP parameters are analysed for multiple flow parameters for Interference Aware Bandwidth Reservation (IABR) and Proposed Priority Based Interference Aware Bandwidth Reservation (PBIABR) conditions. Simulation results have been captured using Network Simulator 2 tools for HWSN creation and crafted to same readings as a graph for deep analysis. The proposed simulation results for hybrid scenario highlights a considerable performance hike for the performance parameters like Throughput (bps) vs Packet size (bytes), Average Energy (joule) vs Interval (sec) and Residual Energy (joule) vs Interval (sec) under PBIABR conditions compared with IABR simulation outcome. The results have been analysed for comparative study of each parameter deeply. Inference from the comparative analysis highlights the performance parameters of PBIABR is efficient than IABR. 07 30 2019 2666 2670 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2246.078219 https://www.ijrte.org/portfolio-item/B2246078219/ Surgut State Pedagogical University, Russia. Fursov A. V Sinyavskiy N. I Surgut State Pedagogical University, Russia. Natalia L Ivanova Tyumen Industrial University, Russia. Sergey K. Peteraitis Togliatti State University, Russia. The article presents the results of on-line service “AS PhCSC GTO” application in pedagogical control implementation in an educational institution in automation of information processing for management of trainees’ physical training in a comprehensive school. On-line service “AS PhCSC GTO” application in pedagogical control implementation in an educational institution allows providing the main task (achieving the model level of physical preparedness (Gold, Silver, Bronze) of the main group) with effective solution, and also trainees support for physical preparedness correction. 07 30 2019 1565 1567 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2247.078219 https://www.ijrte.org/portfolio-item/B2247078219/ Faculty of Information Management, Universiti Teknologi MARA UiTM, UiTM Selangor, Malaysia. Nue Hamezah Abdul Malic Tengku Adil Tengku Izhar Faculty of Information Management, Universiti Teknologi MARA UiTM, UiTM Selangor, Malaysia. Mohd Razilan Abdul Kadir Faculty of Information Management, Universiti Teknologi MARA UiTM, UiTM Selangor, Malaysia. The rapid increase of data generated has brought challenges on data quality level. Fog computing in general has been supporting the requirements of end user devices that could not be met by cloud computing solution and it is acknowledged to have a major impact on how an organisation decides to adopt for preprocessing a huge amount of data being generated by the devices. Since IoT devices generating very heterogeneous and dynamic data, there are challenges for the level of data quality. The limitation has hindered the development of fog systems framework that capable operating the dynamic execution of edge devices that handling generation and collection large amounts of data on-premise and off-premise. Thus,sufficient operations of identifying Quality of Result enable user to detect any problems when conducting the decision making. The aim of this paper is to address the factors that perceived likely to influence the adoption of fog computing in evaluating the data analysis on data transmitted from the ever increases devices.A conceptual framework has been constructed considering attributes such as heterogeneous data analysis (on-premise and off-premise) and Quality of Results (quality indicators, quality control, validity outcome and reliability outcome).Potential benefits from the implementation of this framework to organisation is it enable to provide greater value and benefits to the business process. The framework of this study could also be influencing and inhibiting the adoption of fog computing.Quality of result has higher chances to satisfy the defined industrial’s requirement. In addition, fog-computing adoption is important for serving an environment for industry to execute, monitor, and analyze a large form of data in a fog landscape. 07 30 2019 2760 2766 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2249.078219 https://www.ijrte.org/portfolio-item/B2249078219/ Ph.D. Scholar, Electrical Engineering Department, VSSUT, Burla, Odisha, India. P.C. Nayak S. Patel M.Tech Scholar, Electrical Engineering Department, VSSUT, Burla, Odisha, India. R.C. Prusty Asst. Professor, Electrical Engineering Department, VSSUT, Burla, Odisha, India. S. Panda Professor, Electrical Engineering Department, VSSUT, Burla, Odisha, India. This paper proposes a new approach for load frequency control in a multi micro grid system by using hybrid multi verse with pattern search (hMVO-PS) algorithm based Fractional Order Fuzzy PID controller. A multi micro grid system may be molded by some of the renewable resources (RESs) like photovoltaic (PVs), wind (WTGs), energy storage system (ESSs) and loads. The fractional order fuzzy PID (FOFPID) controller parameters are optimized by novel hybrid Multi verse with pattern search (hMVO-PS) technique. The flexibility and robustness of proposed FOFPID controller is inspected under different disturbance like stochastic variations. The superiority of FOFPID structure over conventional Fuzzy PID/PID and hMVO-PS technique over multi verse optimization (MVO), particle swarm optimization (PSO) and genetic algorithm (GA) has been manifested. 07 30 2019 3805 3812 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2254.078219 https://www.ijrte.org/portfolio-item/B2254078219/ Department of Computer Studies, Tarlac Agricultural University, Tarlac, Philippines. Sheila R. Lingaya This study on the development and validation of a document tracking model for utilization of Philippine Higher Education Institutions was undertaken to produce a system that would facilitate the management of documents in state universities or colleges by providing a way to monitor, record and track the location of in-process documents to support an academic organization. The Software Development Process was used as basis for the development of the software involving phases such as user requirements specification, design and implementation, validation and evolution (i.e. the process of changing or modifying the system once it has gone validation and yielded feedbacks for further modification). The acceptability of the software as evaluated by forty (40) office personnel representing every units of the Tarlac Agricultural University – the sample locale of the study, was confirmed in terms of user interface and functionality. These evaluators judged the software based on their skills and ability to use the software while carrying out their job functions. Five (5) IT experts also judged the software in terms of user interface, functionality, database design and security. Based on the results of the study, findings indicate that the document tracking system is excellent for the evaluators as process owners with a grand mean of 4.54 with its ease of use because of the simplicity of operations and the design itself with the reliability and usability or fitness for purpose as to tracking in-process documents and generating reports. The experts also evaluated the system as excellent with a grand mean of 4.58 – hence, the system’s visual, functional and navigational elements and the manner it requests information helps the user operate the document tracker. Security was also judged as excellent because the system can control users and produce integral records. 07 30 2019 1568 1573 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2255.078219 https://www.ijrte.org/portfolio-item/B2255078219/ Department of Physics, Universiti Pendidikan Sultan Idris, Perak, Malaysia. Mohd Norzaidi Mat Nawi Nur Shahira Shahripul Azeman Department of Physics, Universiti Pendidikan Sultan Idris, Perak, Malaysia. Muhammad Rashidi Ab Razak Department of Physics, Universiti Pendidikan Sultan Idris, Perak, Malaysia. This paper presents the analysis of the capacitive based flow sensor using computational fluid dynamic (CFD) and mathematical equation approach. The CFD simulations for different types of sensor structure were carried out. Pressure and velocity of the fluid were varied in order to study the hydrodynamic parameter such as displacement and drag force. For the coplanar electrode, width of electrode and half gap between electrodes were varied for capacitive response using mathematical approach. Based on the simulation, the displacement of the dome increases as the pressure increases. The result shows that the most suitable thickness of the dome is 0.1 mm based on the displacement and the strain. Meanwhile for the coplanar electrode, the width and half gap showed a significant effect on the capacitance response. 07 30 2019 4795 4799 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2257.078219 https://www.ijrte.org/portfolio-item/B2257078219/ Professor, Department of CSE, Sir C R Reddy College of Engineering, India. Dr. M. Krishna V Naga Bushanam Associate Professor, Department of CSE, Chirala Engineering college, India. Bandlamudi S B P Rani Obtained M.Tech from Andhra Univrsity., India. K Rakesh Assistant Professor, Department of CSE, GVPCDPGC, India. V Pranav Assistant Professor, Department of CSE, Sir C R Reddy College of Engineering, India. Reconstructing the damaged images and improving the quality of an image, results in image restoration. Here anisotropic diffusion based iterative inpainting developed to minimise the noise level in the colour images and enhancing the image boundaries, this approach observed on speckle, Gaussian and shot noise. To reduce noise and topological defects from images, 3D- anisotropic diffusion used to decompose the image into high frequencies and low frequencies and protects the image from losing the information, to enhance the image quality, image inpainiting was used. In this process most of the high frequency decomposed sections got damaged with noise and appears as there is information available at those pixels, therefore the complete restoration process was done on all the high frequency decomposed components so this results in achieving better restored images in mean time. The two effects on images can be reduced by the mixed fusion algorithm i.e., noise reduction by using anisotropic diffusion and distance based neighbourhood image inpainting for restoring the damaged parts. So, this results in reconstructing the damaged image and enhancing the boundaries of the image. 07 30 2019 6503 6507 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2259.078219 https://www.ijrte.org/portfolio-item/B2259078219/ Dept. of Civil Engineering, Student of Bharati Vidyapeeth Deemed to be University College of Engineering, Pune, India. Abhishek Pandey P.T. Nimbalkar Professor, Dept. of Civil Engineering, Faculty of Bharati Vidyapeeth Deemed to be University College of Engineering, Pune, India. Bridge piers having a varying foundation diameter are known as compound bridge piers. In India for the construction of road and railway bridges circular compound bridge piers are mostly adopted. In past studies it has been concluded that 60-70% of bridge failure occurs because of scour around bridge pier across a river due to flowing water. Most of the past studies were done on the uniform bridge pier and a very few studies has been carried out so far on scour around compound bridge piers. For economical design of bridge pier foundation there is a need to determine the scour depth. In the present study, an experimental investigation has been carried out for computation of time variant change of scour depth for two different models of circular compound bridge piers over non-uniform soil for all possible cases of position of footing with respect to level of the bed, i.e., I. Footing at the level of bed, and II. Footing below the level of bed (1cm, 2cm, 3cm and 4cm) for non-uniform sediments 07 30 2019 2051 2059 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2262.078219 https://www.ijrte.org/portfolio-item/B2262078219/ Kongunadu College of Engineering and Technology, Trichy C. Saravanabhavan K. Anguraju Kongunadu College of Engineering and Technology, Trichy M. Kannan Kongunadu College of Engineering and Technology, Trichy P. Preethi Kongunadu College of Engineering and Technology, Trichy R. Asokan Kongunadu College of Engineering and Technology, Trichy In cloud computing, user database is stored at remote site instead of user computer’s hard disk where the connection between remote site and user computer is provided by internet connection. As cloud computing essentially places data outside the custody of owner of data, it inexorably hosts security disputes. The distance among the physical and the client location of data generates a barrier as the data can be accessed by an unauthorized party and this would influence the solitude of client’s data. The utilization of traditional encryption systems to encrypt the data prior to transmitting to the cloud provider has been most extensively utilized technique to link this security gap. Be that as it may, the customer will require offering the private key to the server to unscramble the information in front of playing out the figuring’s fundamental. Homomorphic encryption techniques permits computations on encrypted data devoid of decryption. This paper deals with the utilization of Fully Mature Homomorphic Encryption (FMHE) to encode the client’s data on cloud server and as well it facilitates to perform required computations on the encrypted data. 07 30 2019 5233 5342 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2472.078219 https://www.ijrte.org/portfolio-item/B2472078219/ Department of Computer Science and Engineering, Nalanda Institute of Engineering and Technology, Guntur, India. T. Swarnalatha T. Anuja Department of Computer Science and Engineering, Nalanda Institute of Engineering and Technology, Guntur, India. B. V. Ramana Reddy Department of Computer Science and Engineering, Nalanda Institute of Engineering and Technology, Guntur, India. Ch. Rami Reddy Department of Electrical and Electronics Engineering, Nalanda Institute of Engineering and Technology, Guntur, India. In this paper different special data management schemes pointing urban data environment are reviewed. The approach and the theory of Spatial Data Warehousing (SDW) pointing the urban data atmosphere is briefly discussed. Nature and architecture SDW are characterized. The use of SDW with the use of decision making is developed and analyzed for urban data environment. A three- tiered architecture for the SDW is proposed. The issues and solutions related to the designing of the SDW is addressed. 07 30 2019 5088 5093 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2269.078219 https://www.ijrte.org/portfolio-item/B2269078219/ Ph.D Research Scholar, Department of Computer Science, Dr.N.G.P. Arts and Science College, Coimbatore, India. Mr.Nithyanandh. S Dr.Jaiganesh. V Associate Professor, Department of Computer Science, Dr.N.G.P. Arts and Science College, Coimbatore, India. Wireless Sensor Networks (WSN) gets weak due to node failures because of different reasons like intervention and faults that arise in communication. These kind of failures makes the entire network failure or disconnect part of the network leading to link failure. Routing protocols are responsible to find the best route to destination, because link failure minimizes the entire quality of service. Hence, there exist a need to find the preeminent route between source and destination which makes the communication in a efficient manner. Optimization started playing a major role in research, specifically in mining and networking issues. This paper aims to propose a optimization based routing protocol namely robust virus swarm routing protocol in order to effectively detect the link failures to find the alternative path and efficiently utilize the available energy to extend the network lifetime. The proposed protocol works by utilizing the dissemination and infection method followed by virus which defends the host-cell for the survival and progression. This research work uses the benchmark performance metrics to evaluate the proposed protocol against the existing protocols in the simulator NS2. The result shows that the proposed protocol outperforms the existing protocols in terms of all the metrics. 07 30 2019 1574 1579 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2271.078219 https://www.ijrte.org/portfolio-item/B2271078219/ Jakarta State University, Indonesia Nasir Burhanuddin Tola Jakarta State University, Indonesia, Wibowo Jakarta State University, Indonesia Hamidah Jakarta State University, Indonesia This research aims to determine and analyze the effect of competence and research method using a survey technique compensation on performance of agricultural extension Employee in Banten in facing of digital era 4.0. This study uses quantitative to respond test hypothesis that has been formulated. The respondents were 94 Employee of agricultural; the sampling technique used purposive sampling technique. The questionnaire of competence, compensation and Employee performance was validated with the product moment correlation, while the Alpha Cronbach measured reliability. Hypothesis testing using path analysis. The outcomes of the study demonstrated that: (1) there is a positive direct effect of competence on performance of agricultural extension Employee, (2) there is a positive immediate effect of compensation on performance of agricultural extension Employee, (3) there is a direct positive influence on compensation of agriculture extension Employee . Implications of this study are to enhance performance of agricultural extension Employee in Banten of Indonesia in the digital era 4.0, the competence and compensation must be Increased. 07 30 2019 1580 1586 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2272.078219 https://www.ijrte.org/portfolio-item/B2272078219/ Bashkir State Agrarian University, Ufa, Russia Svetlana Kanareikina Vladimir Kanareikin Ufa State Petroleum Technological University, Ufa, Russia Ekaterina Ganieva Bashkir State Agrarian University, Ufa, Russia; Ufa State Petroleum Technological University, Ufa, Russia Nina Burakovskaya Omsk State Technical University, Omsk, Russia Maxim Shadrin Omsk State Technical University, Omsk, Russia Olga Khalepo K.G. Razumovsky Moscow State University of technologies and management (the First Cossack University), Moscow, Russia; Ural State Agrarian University, Yekaterinburg, Russia Maria Babaeva K.G. Razumovsky Moscow State University of technologies and management (the First Cossack University), Moscow, Russia; Ural State Agrarian University, Yekaterinburg, Russia Natalia Nikolaeva K.G. Razumovsky Moscow State University of technologies and management (the First Cossack University), Moscow, Russia; Ural State Agrarian University, Yekaterinburg, Russia Olga Voskanyan K.G. Razumovsky Moscow State University of technologies and management (the First Cossack University), Moscow, Russia; Ural State Agrarian University, Yekaterinburg, Russia The development of functional foods with specified beneficial properties is one of the main directions in the problem of maintaining and preserving the health of the population. To solve this problem in the diet include products produced using dietary supplements made from natural ingredients. In addition, the problem of creating food with a certain texture made it possible to isolate thickeners and gelling agents food additives that regulate the consistency and form the structure of the product. The department of technology of meat, dairy products and chemistry of the Bashkir State Agrarian University developed two functional combined products, dairy and vegetable yogurt: 1 using dried horse milk and 2 using dried horse milk and vegetable component, pumpkin seed flour, identified their physicochemical properties and the proposed method for studying structure formation in fermented milk products. The study on the example of yoghurt 1 proved that when lactic acid fermentation proceeds, a decrease in the carbohydrate content of the product leads to an increase in its acidity and this causes a change in the consistency of the product. As a result, a ferment with lactic acid bacteria, producing exopolycarbohydrates, dried mare's milk and a vegetable component from pumpkin flour containing pectins, turned out to be good thickeners and gelling agents. All of the above components of yogurt are natural raw materials, so they can be used as safe food additives in the production technology of fermented milk products. In addition, the introduction of dried mare's milk contributes to the correction of the protein composition of the milk mixture, and the use of pumpkin seed flour in the production of yogurt enhances the beneficial properties of yogurt. This research is very relevant from the point of view of developing useful functional products. 07 30 2019 1587 1592 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2274.078219 https://www.ijrte.org/portfolio-item/B2274078219/ Civil Engineering Department, Bharati Vidyapeeth Deemed (to be) University college of Engineering, Pune, India. Miss Snehal S. Patil Prof. Mrs. Deepali Kulkarni Faculty Civil Engineering, Bharati Vidyapeeth Deemed (to be) University College of Engineering, Pune India. Prof. Mr. P. D. Patil Faculty Civil Engineering, Bharati Vidyapeeth Deemed (to be) University College of Engineering, Pune India. Watershed is land surface bounded by a divide which contributes runoff to a common point. Watershed management basically involves management of land surface and vegetation so as to conserve and utilize maximum water that falls on the area of watershed and also conserve the soil for long term benefits to the farmer and his society. Watershed management implies the wise use of soil and water resources so as to provide clean, uniform water supply for beneficial use and to control damaging overflow. Study area for this project work is Ingrul village, which is comes in Shirala tehsil, Sangli district of Maharashtra state. This area lies between Latitude 16.9550N, Longitude 74.1585E and Elevation 587 m. In ingrul village in pre-monsoon period lack of water availability for drinking, agricultural purpose. Due to the water scarcity the agricultural production is reduced. To reduce the problem of water, watershed management is necessary in the Ingrul village. Watershed studies conducted employing a GIS platform have incontestable that the special analysis capabilities of GIS hold the key to improved watershed modeling techniques. The GIS-based watershed modeling method begins with a digital illustration of the bottom surface topography, or a digital elevation model. Availability of natural resources like land and water is studied using data from bhuvan, Survey of India toposheets and remote sensed data. Watershed structures proposed on the basis of contour map, drainage map, land use land pattern map and water requirement and runoff calculations. Design and cost estimation of structures recommended for Ingrul village 07 30 2019 1593 1599 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2275.078219 https://www.ijrte.org/portfolio-item/B2275078219/ Research Scholar (VLSI Design) from ITM University (GOI), Gwalior. Ravinesh Bhadoriya Nikhil Saxena assistant professor in ITM University (GOI) Gwalior in ECE department. This paper is based on the results obtained from CMOS based three stage ring oscillator with and without using the memristor. After analyzing, the results obtained from memristor based oscillator are better in terms of frequency, leakage current and leakage power. Also a brief overview about the memristor is given, whose characteristics lies among resistance, inductance and capacitance. 07 30 2019 5343 5347 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2277.078219 https://www.ijrte.org/portfolio-item/B2277078219/ M.Tech,* (Ph.D.) (Geotechnical Engineering), Sr. Gr. Assistant Professor, Department of Civil Engineering, Gudlavalleru Engineering College, Gudlavalleru, Andhra Pradesh, India. Phani Kumar V M. Deepthi (M.Tech),(Structural Engineering), Post Graduate Student, Department of Civil Engineering, Gudlavalleru Engineering College, Gudlavalleru, Andhra Pradesh, India Saikiran K (Structural Engineering), Assistant professor, Department of Civil Engineering, Gudlavalleru Engineering College, Gudlavalleru, Andhra Pradesh, India. R.B.N. Santhosh (Structural Engineering), Assistant professor, Department of Civil Engineering, Gudlavalleru Engineering College, Gudlavalleru, Andhra Pradesh, India. The high rise structures are proposed for residential and commercial purposes. They may easily effect by seismic as well as wind loads, so the buildings get deformed and collapsed easily. To avoid these problems we consider p-delta effect in designing. As the number of stories increases p-delta effect becomes very important. The P-Δ effect is relevant in structural engineering problems, especially in civil engineering, where we’re dealing with large structures with proportionally decreasing small moments of inertia as they continue to be extended in absolute height. When designing structures, we may consider that they’re immune to lateral deformation, and may therefore not account for their behaviour when sudden buckling or beam-column-like behaviour is introduced. In this study p- delta (P-Δ) effect on high-rise building studied for the analysis of G+29 RCC framed building and models were done by ETABS2016. Seismic and wind loads are applied to model as per IS-1893 (2002) and IS-875 (PART-III). The displacements, storey drifts, Bending Moments and Shear Forces are compared to the different models by considering with and without P-delta effect and by providing shearwalls at different locations. 07 30 2019 2060 2068 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2282.078219 https://www.ijrte.org/portfolio-item/B2282078219/ Department of Computer Science & Engineering, Amity School of Engineering & Technology at Amity University Rajasthan, Jaipur, India. Shweta Sharma Ashwani Kumar Yadav Department of Electronics & Communication Engineering, Amity School of Engineering & Technology at Amity University Rajasthan, Jaipur, India. Deepak Sinwar Department of Computer and Communication Engineering, School of Computing & Information Technology at Manipal University Jaipur, Jaipur, Rajasthan, India Bhagyashri Naruka Department of Computer Science & Engineering, Amity School of Engineering & Technology at Amity University Rajasthan, Jaipur, India. Vaishali Department of Computer and Communication Engineering, School of Computing & Information Technology at Manipal University Jaipur, Jaipur, Rajasthan, India. Differential Evolutionary (DE) Algorithms is one of the most popular metaheuristic approach. For optimization purpose DE is very useful to solve various kind of problems. In addition to that the paper offers a Cross-Opposition Based Differential Evolution (CODE). An impression of Opposition-based learning (OBL) is incorporated in population initialization phase and in step of crossover. The performance of algorithm is analysed for different mutation strategies of DE and various other existing approaches. Results demonstrated that the algorithm outperform in terms of convergence speed, versatile population and dimension size. 07 30 2019 2887 2893 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2283.078219 https://www.ijrte.org/portfolio-item/B2283078219/ Associate Professor, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India. M. Shyamala Devi Rincy Merlin Mathew Lecturer, Department of Computer Science, College of Science and Arts, Khamis Mushayt, King Khalid university, Abha, Asir, Saudi Arabia. R. Suguna Professor, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India. Recently, engineers are concentrating on designing an effective prediction model for finding the rate of student admission in order to raise the educational growth of the nation. The method to predict the student admission towards the higher education is a challenging task for any educational organization. There is a high visibility of crisis towards admission in the higher education. The admission rate of the student is the major risk to the educational society in the world. The student admission greatly affects the economic, social, academic, profit and cultural growth of the nation. The student admission rate also depends on the admission procedures and policies of the educational institutions. The chance of student admission also depends on the feedback given by all the stake holders of the educational sectors. The forecasting of the student admission is a major task for any educational institution to protect the profit and wealth of the organization. This paper attempts to analyze the performance of the student admission prediction by using machine learning dimensionality reduction algorithms. The Admission Predict dataset from Kaggle machine learning Repository is used for prediction analysis and the features are reduced by feature reduction methods. The prediction of the chance of Admit is achieved in four ways. Firstly, the correlation between each of the dataset attributes are found and depicted as a histogram. Secondly, the top most high correlated features are identified which are directly contributing to the prediction of chance of admit. Thirdly, the Admission Predict dataset is subjected to dimensionality reduction methods like principal component analysis (PCA), Sparse PCA, Incremental PCA , Kernel PCA and Mini Batch Sparse PCA. Fourth, the optimized dimensionality reduced dataset is then executed to analyze and compare the mean squared error, Mean Absolute Error and R2 Score of each method. The implementation is done by python in Anaconda Spyder Navigator Integrated Development Environment. Experimental Result shows that the CGPA, GRE Score and TOEFL Score are highly correlated features in predicting the chance of admit. The execution of performance analysis shows that Incremental PCA have achieved the effective prediction of chance of admit with minimum MSE of 0.09, MAE of 0.24 and reasonable R2 Score of 0.26. 07 30 2019 4800 4807 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2286.078219 https://www.ijrte.org/portfolio-item/B2286078219/ School of Mechanical Engineering /Sathyabama Institute of Science And Technology/Chennai, India. Sridhar Raja.K.S Senthil Kumar.J School of Mechanical Engineering /Sathyabama Institute of Science And Technology/Chennai, India. Sangeetha. M School of Mechanical Engineering /Sathyabama Institute of Science And Technology/Chennai, India. Sivasaravanan. S School of Mechanical Engineering /Sathyabama Institute of Science And Technology/Chennai, India. All of the agricultural tractors are weighed down by heavy cargo loads & ploughing so safety and efficient reliability is utmost important. Now-a-days tractors are conventionally having brakes which are being actuated by Mechanical linkages which is dominantly having several mechanical load distribution losses. This mechanical actuating stuff is going to get replaced by hydraulic actuation which will meet the reduction of increasing losses considerably.This paper introduces a conceptual illustration of adopting multi servo effect in traditional tractor brakes where the servo effect is present under optimal manner in dry tractor brakes. Also application of hydraulic actuation reflects a considerable reduction in pedal effort and travel which is the major mechanical advantage that can be attained. Thus, this article shows a conceptual analysis of increased braking efficiency by two variant packages: 1) Multi-Servo effect and 2) hydraulic actuation. 07 30 2019 2069 2073 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2287.078219 https://www.ijrte.org/portfolio-item/B2287078219/ B.E, in Electrical and Electronics Engineering from Bharathiyar University Coimbatore Tamil Nadu, and M.Tech in Information Technology from Tezpur Central University Assam. Ashish Kumar Srivastava Aditya Goel Associate Professor in the Deptt. of Electronics & Communication Engineering at Maulana Azad National Institute of Technology(Deemed University) , Bhopal, India. Jyoti Srivastava Assistant Professor in Madanapalle Institute of Technology and Science, Madanapalle, Andhra Pradesh.Jyoti has completed herM.Tech and PhD from IIIT Allahabad Wireless sensor network (WSN) is susceptible tovarious kind of security attacks; one among them which is more prevalent isDoS(Denial of Service)attack. Spam message consumes most of the node energy and cause energy constraints node to drain with energy. So the prevention of such kind of attack is required in WSN. To solve this issue we are using a systematic approach of identifying spam message which may leads to the DoS attack. We are using a set of mobile agents which perform specifically assigned task to control overflow of excess Spam messages so as to stop DoS attack. The proposed spam prevention model for the MA(Mobile Agent)[9]is experimented on WSN. The proposed model Restrict the unnecessary MAs roaming and cloning are minimized and thus the energy can be saved. To calculate the threshold value we have used two techniques; one is based on the number of itinerary the clone threshold is set and the other is based on the simple moving average method so as to calculate the threshold value for the number of remote MAs. Based on the previous threshold values the new threshold value is calculated. The analysis shows that as the node is increasing from 1 to 10 how drastically Anti MA’s clone generated in when DADR model is not used and how the number reduces when DADR model is used. Subsequently energy is saved by applying DADR model. Through this proposed modelDoS attack detection and Recovery Model (DADR), we can avoid the spam attack in the MA based wireless sensor environment and save energy of resource constraints WSN and hence increase its life. 07 30 2019 2894 2899 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2289.078219 https://www.ijrte.org/portfolio-item/B2289078219/ Professor, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India. R. Suguna M. Shyamala Devi Associate Professor, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India. Rincy Merlin Mathew Lecturer, Department of Computer Science, College of Science and Arts, Khamis Mushayt, King Khalid university, Abha, Asir, Saudi Arabia. Recently, manufacturing industry faces lots of problem in predicting the customer behavior and group for matching their outcome with the profit. The organizations are finding difficult in identifying the customer behavior for the purpose of predicting the product design so as to increase the profit. The prediction of customer group is a challenging task for all the organization due to the current growing entrepreneurs. This results in using the machine learning algorithms to cluster the customer group for predicting the demand of the customers. This helps in decision making process of manufacturing the products. This paper attempts to predict the customer group for the wine data set extracted from UCI Machine Learning repository. The wine data set is subjected to dimensionality reduction with principal component analysis and linear discriminant analysis. A Performance analysis is done with various classification algorithms and comparative study is done with the performance metric such as accuracy, precision, recall, and f-score. Experimental results shows that after applying dimensionality reduction, the 2 component LDA reduced wine data set with the kernel SVM, Random Forest classifier is found to be effective with the accuracy of 100% compared to other classifiers. 07 30 2019 6198 6203 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2290.078219 https://www.ijrte.org/portfolio-item/B2290078219/ M.Tech degree in Wireless Mobile Communications from G. Narayanamma Institute of Technology and Science, Hyderabad, India. A. Mary Shiny A. Chandra Shaker Assistant Professor at Department of Electronics and Telematics Engineering, G. Narayanamma Institute of Technology and Science, Hyderabad, India. In an age where breaches occurrence is precisely numerous, it is essential to safeguard confidential figures including patron records, intellectual property, assessment and enlargement, prospect business plans, and all sorts of confidential facts more proficiently. It is substantial to administer a network to safeguard information. Cyber mugs tear into information systems, accertion in these attacks leads to node deterioration, hence a structure is obligatory which can combat cyber mugs to shield our information nodes in WSNs. To cope with these attacks we adopt an efficient technique for enhancing robustness of scale-free wireless sensor networks. Scale-free networks are not affected much by random thefts but they become defenseless against malicious theft. To overcome this shortcoming this paper presents an enhanced technique , here we have a MAX node which is enclosed with small rate nodes, each MAX node will be highly secured by adopting ROSE algorithm by altering edges keen on to a closed structure to upgrade robustness of a network . This phenomena is achieved by forming a scale-free topology using basic BA model. In this paper, work is done on two operations that is rate diversity and edge value operations, to mold system further vigorous to malicious attacks. System is further encrypted by providing every single node with a private key in a sub network. 07 30 2019 2074 2078 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2294.078219 https://www.ijrte.org/portfolio-item/B2294078219/ CSE, DIT University, Dehradun, India Anuj Kumar Yadav Dr M.L. Garg CSE, DIT University, Dehradun, India. Dr Ritika MCA, DIT University, Dehradun, India. Nowadays cloud computing is a driving force which has a large impact on each aspect of our lives and widely used in today's business structure. With its capacity and capability, it is widely accepted by many organizations and users. Cloud computing provides numerous benefits to end users and companies in terms of cost, maintenance, management due to which many organizations prefer to use its services with open hands. With the increasing demand, day-by-day service providers also increased and the user has a choice to choose the best one based on their demand Cloud Storage is one such service that provides cost effective storage solution to the users. They provide unlimited storage to the users based on the requirement and charge according to that only. User can rely on them for the storage but apart from the numerous benefits security and privacy remains the biggest concern whenever a user moves to cloud services. Security triad comprises of authentication, Integrity, and availability remains the concern for every user while moving towards cloud-based services. Almost everyday industry and academician working on finding an effective and efficient way, which could provide secure migration of user data in the cloud. One of the solutions could be the use of cryptographic techniques to provide data security. Cryptography is accepted largely to ensure the privacy and security of data in cloud computing. In this paper, several cryptographic technique discussed which are expected to provide the solution to the user's problem when they tend to move towards cloud computing. 07 30 2019 2079 2084 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2298.078219 https://www.ijrte.org/portfolio-item/B2295078219/ Research Scholar. Noorul Islam Centre for Higher, Kumaracoil, Kanyakumari District, Tamilnadu, India Shijumon. V Dr. N. Nalanth Professor Department of Civil Engineering Noorul Islam Centre for Higher, Kumaracoil, Kanyakumari District, Tamilnadu, India. This study presents an investigation on the flexural behaviour of normally vibrated concrete and self-compacting concrete beams subjected to loading tests. Seven specimens were cast to investigate the flexural behaviour. This experimental analysis mainly varied the parameters such as (1) Percentage of coarse aggregate replacement (RCWA), and (2) percentage of Steel fibres. Results are exhibited in terms of flexural strength, stiffness, failure modes, and deflection curves. The test results revealed that RCWA could be successfully used in SCC. The flexural behaviour of beam decreased with the addition of RCWA. However, the addition of RCWA in combination with SF in SCC significantly improved the overall flexural behaviour. Finite element model also developed to study the behaviour of beams produced by SCC with RCWA content. 07 30 2019 3413 3415 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2296.078219 https://www.ijrte.org/portfolio-item/B2296078219/ Department of Production Engineering, SGGS IE&T, Nanded, India. Jeet P. Patil V. M. Nandedkar Department of Production Engineering, SGGS IE&T, Nanded, India. Sushil Mishra Department of Mechanical Engineering, IIT Bombay, Powai, India. Thermoforming is one of the most utilized polymer processing technique, where heated sheet polymer sheets are transformed into useful products. These sheets are usually deformed at a temperature higher than the glass transition temperature of the polymer sheet. The physical and mechanical properties of the sheet change significantly at this temperature. Therefore, forming temperature is the key parameter governing the process output, and by monitoring it, process parameter can be decided for higher quality output and minimum rejections. Temperature monitoring usually carried out using sensors and thermal imaging system, which demands open access of the surfaces to be monitor. In the case of closed forming setups use temperature, monitoring devices are favorable. In order to cope with the mentioned scenario present study proposed to use finite element analysis for temperature monitoring. The objective of the present study is to investigate the heating stage of the thermoforming process for Poly methyl methacrylate (PMMA) sheet just prior to deformation carried out in close forming setup. Numerical studies were performed to study the temperature distribution across the sheet during its heating. In order to validate the proposed numerical model, experimental investigations were carried out, and good agreement was found between simulated and experimental result. The results obtained from the present study could be useful to determine the required process parameters such as deformation pressure. Moreover, the heating stage could be optimized to reduce energy consumption and cycle time. 07 30 2019 2885 2892 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2301.078219 https://www.ijrte.org/portfolio-item/B2301078219/ Department of Building Engineering, Energy Systems, and Sustainability Science, Faculty of Engineering and Sustainable Development, University of Gävle, 801 76 Gävle, Sweden. Department of Civil Engineering, Abadan Branch, Islamic Azad University, Abadan, Iran. Alireza Bahrami Mojtaba Yavari Department of Civil Engineering, Abadan Branch, Islamic Azad University, Abadan, Iran. This paper focuses on the hysteretic assessment of steel-concrete composite shear walls with reinforced concrete on one side of the steel plate. Finite element software ABAQUS is utilised to conduct this research. An experimental test on a composite shear wall is simulated to do the verification of the modelling. Then, modelling result is compared with the experimental test result which shows an insignificant difference between them and therefore uncovers the accuracy of the modelling. Thereafter, different parameters are considered to investigate their effects on the response of the walls. Thickness of reinforced concrete, steel plate thickness, and number of shear studs are studied as parameters. It is concluded that changing reinforced concrete thickness and number of shear studs do not considerably affect the ultimate load capacity, ductility, and energy dissipation of the walls. However, increasing the steel plate thickness enhances the ultimate load capacity, ductility, and energy dissipation. In addition, out-of-plane displacement of the walls is evaluated. 07 30 2019 5640 5645 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2302.078219 https://www.ijrte.org/portfolio-item/B2302078219/ Assistant Professor, Department of Computer Science and Engineering at PVP Siddhartha Institute of Technology (PVPSIT),Kanuru, Vijayawada (Andhra Pradesh), India. Burra Lakshmi Ramani Dr. P. Padmaja Professor, Department of Information Technology at Anil Neerukonda Institute of Technology and Science (ANITS), Visakhapatnam, (Andhra Pradesh), India. Praveen Tumuluru Assistant Professor, Department of Computer Science and Engineering, Koneru Lakshmaiah Educational Foundation, Guntur, (Andhra Pradesh), India CH. M. H. Saibaba Assistant Professor, Department of Computer Science and Engineering, Koneru Lakshmaiah Educational Foundation, Guntur, (Andhra Pradesh,) India. Mothukuri Radha Assistant Professor, Department of Computer Science and Engineering, Koneru Lakshmaiah Educational Foundation, Guntur, (Andhra Pradesh), India. K. Prasuna Assistant Professor, Department of Computer Science and Engineering, Koneru Lakshmaiah Educational Foundation, Guntur, (Andhra Pradesh), India. Data mining is the promising field that attracted the industries to manage huge volumes of data. The most effective and challenging techniques of data mining is data classification. The main intension of this research is to design and develop a data classification strategy based on hybrid fusion model using the deep learning approach, Adaptive Lion Fuzzy System (ALFS), and Robust Grey wolf based Sine Cosine Algorithm based Fuzzy System (RGSCA-FS). The hybrid model consists of three phases: In the first phase, the data is classified using ALFS and the rule base of the fuzzy system is updated by optimally generating the rules using adaptive lion optimization (ALA) from the training data. The second step is the fuzzification process, which converts the scalar values in the training data into fuzzy values with the help of membership function, which is based on Adaptive Genetic Fuzzy System (AGFS). Finally, the classified score of data instances is determined using defuzzification process, which converts the linguistic variable into fuzzy score. In the second phase, the data is classified using Robust Grey wolf based Sine Cosine Algorithm based Fuzzy System (RGSCA-FS), which is used for selecting the optimal fuzzy rules. In the third phase, the data is classified using deep learning networks. The outputs from three phases are fused together using the hybrid fusion model for which the weighed fusion is employed. The performance of the system is validated using three different datasets that are available in UCI machine learning repository. The proposed hybrid model outperforms the existing methods with sensitivity of 0.99, specificity of 0.9350, and accuracy of 0.9411, respectively. 07 30 2019 3205 3213 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2304.078219 https://www.ijrte.org/portfolio-item/B2304078219/ Research Scholar, Department of Computer Science, Research and Development Centre, Bharathiar University, Coimbatore, India. Karunamurthy A Dr.M. Aramudhan Associate Professor & Head, Department of Information Technology, Perunthalaivar Kamarajar Institute of Engineering & Technology, Karaikal, India. Predictive Health Analytic is a challenging discipline in healthcare industry where knowledge can be transferred into action. The basic steps in predictive modeling are to define the problem, gather the initial necessary data and evaluate several different algorithm approaches. Later his process to be refined by selecting best performing models, testing with bench mark data sets and real world setting. Predictive analytics helps to extract useful knowledge and support in making decisions. In this paper, federated health providers are interconnected by using brokers, gather information and helps in decision making related to the issues of health. Each provider has provided the awareness about the distinct diseases, predict the possible level of diseases affected and the mode of treatment. Simulation result reveals that the proposed architecture is essential for the present needs of human life. 07 30 2019 2093 2096 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2309.078219 https://www.ijrte.org/portfolio-item/B2309078219/ Department of ECE, Annamalai University, Chidambaram, Tamilnadu, India S. DHIVYA B. SUDHAKAR Assistant Professor, Department of ECE, Annamalai University, Chidambaram,Tamilnadu,India Copy move forgery is a standout amongst the most widely recognized for controlling unique pictures. Edge detection is a standout amongst the most contemplated issues in PC vision, yet it remains a difficult undertaking. It is troublesome since frequently the choice for an edge can't be made absolutely dependent on low dimension signs, for example, slope, rather we have to connect all dimensions of data, low, center, and high, so as to choose where to put edges. In this paper we propose a novel adjusted K-derives gathering calculation for edge and thing limit affirmation which we suggest as Speeded-Up Robust Features (SURF).A choice of an edge point is made autonomously at every area in the picture; an extremely huge opening is utilized giving critical setting to every choice. In the coordinating stage, the calculation chooses and consolidates an enormous number of highlights crosswise over various scales so as to gain proficiency with a discriminative model utilizing an all-inclusive rendition of the Putatively Matched Points (Including Outliers) calculation. The coordinating based structure is exceptionally versatile and there are no parameters to tune. The proposed work is pertinent to applications for imitation discovery in various explicit picture areas just as on common pictures. The outcomes are reproduced through the MatlabR2014b programming. 07 30 2019 1600 1607 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2311.078219 https://www.ijrte.org/portfolio-item/B2311078219/ Research Scholar, IT-Department, UIET-PU, Chandigarh, India. Meha Bansal Dr. Roopali Garg Associate Professor, IT-Department, UIET-PU, Chandigarh, India. Cognitive-radio is a self-adaptive network technology, which helps in detecting idle channels within a spectrum range. Cognitive radio has four functionalities namely Spectrum sensing, decision, sharing and mobility. This research work is in the domain of spectrum mobility. Spectrum mobility deals with motion of unlicensed users in the network. Unlicensed users are the unauthorized users of cognitive radio networks who have lower priority than licensed ones. Major functionality of spectrum mobility is spectrum handover and connection management. In cognitive-radio, the method of switching channels is termed as spectrum handover. Whenever a high priority user appears to occupy its spectrum band, that is already been utilized by a low priority user, spectrum handover takes place. During this process, a lot of handover delay occurs, which results in increasing the total service time of transmission. Total service time of spectrum handover means amount of time required to perform successful handover during spectrum mobility stage in cognitive-radio-networks. To decrease this total service time of spectrum handover we have utilized the concept of Particle Swarm Intelligence and M/G/1 queuing model. The parameters used for the purpose are swarm size, arrival rate, service rate, acceleration coefficients, processing time and channel switching time. Swarm size indicates the number of particles present in a swarm. In this research work, value of swarm size is varied to see its effect on total service time of spectrum handover process. Numerical results demonstrate that by increasing the value of swarm size, total service time decreases. 07 30 2019 3331 3336 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2312.078219 https://www.ijrte.org/portfolio-item/B2312078219/ Department of Computer Science, Arignar Anna Govt. Arts College, Musiri, India Dr. J. Charles Selvaraj Dr. V. Arul Kumar School of Computer Science and Applications, REVA University, Bangalore, India V. Francis Densil Raj School of Computer Science and Applications, REVA University, Bangalore, India Fourth Author Dr. A. Dalvin Vinoth Kumar School of Computer Science and Applications, REVA University, Bangalore, India Cloud computing is a technology where it provides software, platform, infrastructure, security and everything as a service. But this technology faces many security issues because all the data or information are stored in the hands of the third party. The cloud users unable to know where the data are store in the cloud environment and also it is very difficult to analyze the trustworthiness of the cloud service providers. In this technology providing security is a very big challenging task. This challenge was overcome by developing different cloud security algorithms using cryptographic techniques. Recently many researchers identified that if the cryptographic algorithms are combined in a hybrid manner it will increase the security in the cloud environment. Even though, many research works are still carried out to improve security in the cloud computing environment. In this research article, a new step was taken to develop a new cloud security algorithm 07 30 2019 6408 6412 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2314.078219 https://www.ijrte.org/portfolio-item/B2314078219/ Research scholar (Rg. No: R16PCS09), REVA University, Asst. Professor, Anurag group of Institutions (Autonomous), Hyderabad. S. Deepika S. Senthil Professor & Director- School of Computer Science and Applications, Reva University, Bangalure. One of the impact factor for any organizations or banks revenue and service quality is credit card fraud activities. Hence, need of efficient approach for detect early potential fraud and/or prevent them. In this paper, we considered pre-processing and used deep convolution neural network called as Space Invariant Artificial Neural Networks for classifying fraudsters. Available Credit card fraud dataset may not have sufficient information hence need pre-processing. The proposed approach has pre-processing phrase to make as robust. This approach used leverage layers and suitable tuning parameters for getting good classification accuracy. In neural network applications, choosing of tuning parameters and model selection has great role in solving the problems. We have done careful analysis and selected leverage layers and corresponding parameter values. The proposed architecture tested with all possible tuning parameters to evaluate the performance on pre-processed credit card fraud records. We found the proposed robust SIANN (RSIANN) is outperformed other state-of-art machine learning (ML) algorithms (Support vector machine (SVM), random forest (RF), Navie bayes and deep convolution neural network (DCNN) in terms of accuracy (85%). Thus, this model analyses the transaction and decide it fraud or not. 07 30 2019 6413 6417 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2315.078219 https://www.ijrte.org/portfolio-item/B2315078219/ Assistant Professor, Dept. of Computer Science, Kristu Jayanthi College Bangalore Dr. A. Dalvin vinoth kumar Annie Christila S Assistant Professor, Dept. of Computer Science, St. Francis de Sales College Bangalore Dr. N. Shakeela Assistant Professor, Dept. of Computer Science, BDU Tiruchirapalli, RPL (IPV6 Routing Protocol for Low power lossy network) is a network layer routing protocol. It is considered as best routing protocol for Internet of Things (IoT). The packet size and techniques used in RPL are designed in such a way to support low powered devices. RPL was developed by Internet Engineering Task Force (IETF) work group and still it is in design phase. RPL construct a loop less tree to maintain all the nodes. The parent selection is the backbone of RPL protocol. In parent selection rank calculation play a vital role. In this paper an extensive survey is done about RPL. The various techniques used in RPL are studied in this paper. The performance of RPL protocol is examined using cooja simulator. The working of RPL tested using Contiki enabled sky motes under cooja environment. The heterogeneity of network density and mote type are the major factors considered to examine RPL in terms of Energy efficiency, Packet Delivery Ratio and Response time. 07 30 2019 6418 6422 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2319.078219 https://www.ijrte.org/portfolio-item/B2319078219/ School of Computer Science and Applications, REVA University, Bangalore, India V. Francis Densil Raj Dr. V. Arul Kumar School of Computer Science and Applications, REVA University, Bangalore, India Dr. A. Dalvin Vinoth Kumar School of Computer Science and Applications, REVA University, Bangalore, India Indian Railways is one of the public transportation modes in the country. It is the largest interconnected rail routes which carry many numbers of people from one end to another end. In this, various level crossings are operated on the rail routes and some of the level crossing gates are operated manually. This process is carried out by getting the information from the previous station once the train left the station. In this process, lots of mishaps are occurring due to human interventions and also there is no safety for road users. This issue can be overcome by making the same process in an automated manner. Hence, in this research work, a new automated level crossing model is proposed using the technology “Internet of Things” (IoT). This model will provide 07 30 2019 6211 6216 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2320.078219 https://www.ijrte.org/portfolio-item/B2320078219/ Department of Electronics Engineering, Government College of Engineering Amravati, Amravati, India. Lalit P. Ganorkar Dinesh V. Rojatkar Department of Electronics Engineering, Government College of Engineering Amravati, Amravati, India. The work proposal addresses to introduce a methodology for Indian unconstrained handwritten script identification by practicing distinct features and classifiers. By utilizing classifiers like RF, SVM, k-NN, and LDA for Indian script identification using statistical, geometric, and structural features. To preserve all the information present on handwritten documents such as historical, medieval, inscription, financial administration, public records, government archives, letters, land councils, various agreements, etc. in digitalize form needs textual document processing system (e.g. OCR). To build a precise and productive multi-script/language textual document processing system must have script identification. For this study use, total 1288 (line wise) samples of ten scripts use in India are collected from different persons of different gender, age, education and region (rural or urban). After successful training and testing, 81.8% and 0.252 accuracies and the OOB error rate are achieved by Random Forest respectively. And 77.8%, 73.5%, and 65.5% accuracy is achieved in SVM, k-NN and LDA classifiers respectively. 07 30 2019 2097 2103 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2322.078219 https://www.ijrte.org/portfolio-item/B2322078219/ Assistant and Associate professor. Research Scholar in ECE Department of GITAM deemed to be University, Visakhapatnam, India, Srikanth Parikibandla Dr. Sreenivas Alluri Associate Professor in the Department of Electronics and Communication Engineering, GITAM Deemed to be University, Visakhapatnam, India, Recently, the study of lightweight symmetric ciphers has gained more importance because of high requirement in the services for security in the CCNs (Constrained Computing Environments): Wireless Sensor Network (WSN), Internet of Things (IoT). A lightweight cipher is a cryptographic algorithm which is used for low resource device, minimal area optimization, low power design and attains sufficient security level. Size of the key is considered as major challenges in the cryptographic algorithms, because it increases the complexity of the cryptographic algorithm. To overcome this issue and improve the security, Lorentz Chaotic System (LCS) based PRESENT architecture is introduced in this research. The PRESENT lightweight block cipher is selected due to it is most general and famous lightweight algorithms. Hence, the random numbers were generated for a key purpose by using an LCS circuit. The streaming data will be encrypt and decrypt by using this algorithm. In this research, the modified lightweight block cipher algorithm is called as LCS- PRESENT architecture. Finally, the performance of LCS - PRESENT architecture was evaluated by FPGA hardware utilizations such as Lookup Table (LUT), flip flop, slices, and frequency. The security level of LCS- PRESENT architecture was analysed based on encrypted and decrypted results in XILINX tool. The LCS- PRESENT architecture utilizes the FPGA device to attain maximum accuracy and throughput, such as 30 of LUTs, 115 of flip flops and 47 of slices from available sources compared to existing cryptographic algorithms. 07 30 2019 2104 2110 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2326.078219 https://www.ijrte.org/portfolio-item/B2326078219/ Ph.D. Research Scholar in the Department of Computer Science and Engineering, Punjabi University Patiala. Jagsir Singh Dr. Jaswinder Singh Associate Professor in the Department of Computer Science and Engineering, Punjabi University, Patiala. Malware are the serious threat to the computer systems. Malware are written for many reasons: for stealing confidential data, for financial gain or to affect the working of the computer system. Ransomware is the most disastrous kind of malware which encrypts the user’s whole data and demands ransom (money) to decrypt the data. The user has to pay ransom for getting the decryption key. This becomes the nuisance of encryption algorithms which are used in ransomware attacks. In this paper, a study of ransomware malware is done with the perspective of encryption algorithms. 07 30 2019 1608 1611 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2327.078219 https://www.ijrte.org/portfolio-item/B2327078219/ Department of Computer Science Engineering, Sathyabama Institute of Science and technology, Chennai- Tamilnadu India. S.Prince Mary B. Bharathi Department of Computer Science Engineering, Sathyabama Institute of Science and technology, Chennai- Tamilnadu India.. S. Vigneshwari Department of Computer Science Engineering, Sathyabama Institute of Science and technology, Chennai- Tamilnadu India R. Sathyabama Department of Computer Science Engineering, Sathyabama Institute of Science and technology, Chennai- Tamilnadu India To predict the patient disease using soft computing technique is the primary motto of the disease prediction system. Currently, researchers are trying to develop a disease prediction system using pattern mining technique. Here, a technique for disease prediction system using genetic algorithm and artificial neural network is proposed. The genetic algorithm is used for mining the most occurrences of disease sequences rules. To form the disease prediction system, the best rule which is obtained by means of genetic algorithm is used. Artificial neural network is trained to predict the disease. Accuracy of disease prediction is compared with other prediction techniques. 07 30 2019 5646 5649 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2329.078219 https://www.ijrte.org/portfolio-item/B2329078219/ Department of EIE, Sri Ramakrishna Engineering College, Coimbatore, India Dr.V. Radhika Dr.K. Baskaran Department of EEE, Algappa Chettiar Government College of Technology, Karaikudi Dr.K. Srinivasan Department of EIE, Sri Ramakrishna Engineering College, Coimbatore, India DC-DC converters are electronic devices that are used to change DC electrical power efficiently from one voltage level to another. This paper proposes a new Digital Pulse Width Modulator (DPWM) which generates variable duty cycle PWM pulse and it can be used as switching controller for DC-DC converters used in battery powered portable electronic and mobile devices. DPWM utilizes the advantage of Digital Clock Manager (DCM) present in FPGA to multiply the clock frequency to eliminate the clock skew. The proposed DPWM uses the four bit gray counter and one hot encoder with SR flip flop to generate the PWM pulse whose duty cycle can be varied according to the control signal. To verify the results DPWM was implemented in SPARTAN 3A. 07 30 2019 2111 2115 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2330.078219 https://www.ijrte.org/portfolio-item/B2330078219/ Department of Computer Science and Engineering, K.L. University, Guntur, India. Mrunal Pathak Dr. Vinayak Bairagi Department of Elect. and Telecommunication, AISSM’s Institute of Information Tech., Pune, India. Dr. N. Srinivasu Department of Computer Science and Engineering , K.L. University, Guntur, India. Today’s most of the iris recognition systems are strongly dependent on user’s cooperation during image acquisition such as stop-stair condition, head position and camera distance. Images are taken in NIR spectrum to reduce the noise such as effect of illumination. Challenges faced by existing iris recognition systems are such as they are time consuming due to need of extra hardware setup and unable to achieve better performance for images acquired on-the-move, at-a-distance, etc.. To overcome these challenges, in this paper we proposed novel segmentation algorithm based on content based image retrieval approach. In proposed segmentation method, color, texture and brightness contour features were extracted. Entropy value for these extracted contour features was measured to reduce the dimensionality of features. These set of calculated entropy value was given as input to convolutional neural network to cluster noisy eye image into iris, sclera and pupil region. The proposed segmentation algorithm was experimented on freely available UBIRIS.V2 noisy eye image database using MATLAB. The experimentation results shows that proposed segmentation method is superior as compared to existing method by reducing average segmentation time up to 0.9sec and increasing segmentation accuracy up to 97% for non ideal color eye images. 07 30 2019 2116 2124 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2332.078219 https://www.ijrte.org/portfolio-item/B2332078219/ Professor Department of Civil Engineering at Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India. Dr. V Srinivasa Reddy Dr. M V Seshagiri Rao Professor in Department of Civil Engineering at CVR College of Engineering, Hyderabad, India. Dr. S Shrihariis Professor Department of Civil Engineering at JBIT, Hyderabad, India. The main goal of this study is to find out the effect of effect of specimen shape and size, aggregate size and directions of loading and placement on the compressive strength of M20, M40, M60 and M80 grades of concrete. During the experimental study, different shaped and sized concrete specimens of different concrete mix designs were tested for compressive strength at 28 days. For casting the concrete samples, totally four different moulds were utilized, which were two different sizes of cubes and two different sizes of cylinders. The cubic moulds were 100 and 150 mm. The cylindrical moulds were 150×300 and 100×200 mm. So the relationship between size and shape effect on compressive strength of concrete samples is evaluated. Casted cubes and cylinders are tested for the compressive strength under axial compression on completion of 28 days as per IS: 516-1999.In this study, the effect of specimen sizes, specimen shapes, and placement directions on concrete compressive strengths for various grades widely used is evaluated. In addition, correlations between compressive strengths with size, shape, and placement direction of the specimen are investigated. It was found that with the increase of the size of the concrete specimen, compressive strength tends to decrease. The effect of grade of concrete on the shape effectof the compressive strength decreases as the specimen size increases regardless of strength level. Conversion factors of 0.80 to 0.90 were suggested for converting compressive strength of cylinders to compressive strength of cubes. For cubes, when the placement direction is parallel to the loading direction, the compressive strength is higher than the normal case. As aggregate size increases, compressive strength is found to be increasing. 07 30 2019 2125 2130 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2336.078219 https://www.ijrte.org/portfolio-item/B2336078219/ Department of CSE, CMR College of Engineering & Technology, Hyderabad, India Dr. Narla Swapna Dr. Peneti Subhashini Department of CSE, MLRIT, Hyderabad, India Dr. B Padmaja Rani Department of CSE, JNTUH, Hyderabad, India In Text categorization, Information retrieval and document clustering stemming is absolutely necessary especially for morphological rich languages like Indian. The process of stemming is, reducing the inflected or resultant terms to their stem word, root or origin form. However, stemming is a tricky task - particularly for extremely inflected natural languages having a lot of words for the same normalized word form. In Text classification, stemming tries to cut off details like either suffix or prefix of a word and produce basic word. In this paper, we apply various stemming methods on Telugu text classification and ensure the performance of the classifier is effect by stemming. Telugu is suffix oriented language, so we have performed number of experiments on erratically selected Telugu text documents and finally we conceive that the performance of the classifier is improved. 07 30 2019 2767 2769 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2338.078219 https://www.ijrte.org/portfolio-item/B2338078219/ IT Department, Higher College of Technology, Muscat, Sultanate of Oman. Dr. Tripti Sharma Mobile Wireless Sensor Networks (MWSNs) have gained a lot of attention because of their applicability in different types of applications such as environment, healthcare, agriculture, industry automation, public safety, security and military surveillance. MWSNs are suffered from poor network lifetime because of the continuous disconnections between the mobile sensor nodes as they have limited battery power. This paper proposed and implement an adaptive algorithm(d-DSR) (implemented in DSR routing protocol) using ns-2.34,that handles the continuous disconnections because of low battery power of the mobile sensor nodes and improves the performance of the network in terms of throughput, packet delivery fraction, delay and network lifetime. 07 30 2019 2131 2135 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2339.078219 https://www.ijrte.org/portfolio-item/B2339078219/ Electronics and Communication Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, Tamil Nadu, India. Dr.M. Karpagam Dr.V.R Balaji Electronics and Communication Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, Tamil Nadu, India. Dr.D. Prabha Computer Science and Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, Tamil Nadu, India Long Term Evolution (LTE) may be a commonplace for prime rate radio transmission for cellular telephone and knowledge terminal. It is a complex technology that provides an accumulated network capability and speed by employing a totally special wireless interface beside the counter work enhancements. In the proposed method we deal with the setback of bandwidth administration in LTE-A systems and suggest valuable and profitable solutions to improve the quality of support in these networks. This paper presents an Optimal Resource Schedule which enhances the system throughput of LTE A based networks. 07 30 2019 2770 2773 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2340.078219 https://www.ijrte.org/portfolio-item/B2340078219/ Asst. prof of physics in Aditya College of Engineering, Surampalem. Jyothi Budida Satyanarayana Murthy Assistant Professor of physics in GIET College of Engineering, Rajahmundry Sreerama Lakshmi Narayana M. Sc.(Nuclear Physics with Neutron Physics as specialization) ,Andhra University, 1972 PGDIF, Andhra University, 1975 , Ph. D. in Nuclear Physics, Andhra University In the current article, the linear array null pattern synthesis for beam forming applications is presented using the novel social group optimization algorithm(SGOA) . As a part of the simulation, the circular array of 24 element length is considered with a spacing of inter-elements of 0.5 λ is considered. These patterns are synthesized for null steering and side lobe level (SLL) optimization. Strategy of designing arrays with single and multiple nulls are presented in more robust manner in which the width of the beam and SLL are also included for objectives of design. 07 30 2019 2671 2674 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2342.078219 https://www.ijrte.org/portfolio-item/B2342078219/ Head of Research and Innovation, System Engineering and Energy Laboratory, Universiti Kuala Lumpur – Malaysian Spanish Institute, Kulim, Kedah, Malaysia. Muhamad Husaini Abu Bakar Mohamad-Syafiq Mohd-Kamal System Engineering and Energy Laboratory, Universiti Kuala Lumpur – Malaysian Spanish Institute, Kulim, Kedah, Malaysia. Zahurin Samad School of Mechanical Engineering, Universiti Sains Malaysia, Nibong Tebal, Pulau Pinang, Malaysia. Magnetorheological fluid (MRF) actuator emerged in the last decade as a potential system to replace electro-hydraulic servo system in precision applications. MRF actuator was control using a valve which is regulated with magnetic field. Because of valve performance relate with flow characteristic inside the valve, knowledge about the flow behaviour when magnetic field is applied was important. Currently analytical method was used to model the valve but limited into simple geometry. Reflect to the need of complex geometry of valve, CFD approached was used in this research work to model the fluid flow with presence of different magnetic strength magnitude as a result CFD model shows a good agreement with experiment with 3% error and the MRF velocity was reduce up to 85% when magnetic field applied. As conclusion, CFD model successfully develop and proven to be used as a tool in analysing the MRF flow. 07 30 2019 1612 1618 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2346.078219 https://www.ijrte.org/portfolio-item/B2346078219/ Assistant Professor, GRIET, Hyderabad, India. V V S Madhuri P.Srividya Devi Assistant Professor, GRIET, Hyderabad, India. This paper emphasis on the scenario of current Power system for the upcoming world i.e. in Power Grid (PG) now a day’s Smart technologies playing vital role, Thus the term Smart Grid (SG). The interconnections of the Power Grid(PG) is mingled and complex. The two- way flow of power is caused by the presence of various distributed generation. Therefore, in future it is becoming more composite and a vast constriction to the energy routing, where monitoring of each signal plays a significant role. So, each signal quality must be improved, sensors should be placed and aided to power system. Then Introducing Internet of Things(IoT) to the Power Grid(PG), with respect to the VAN, HAN, WAN each signal is monitored. This paper presents the issues and remedies in design and monitoring of Smart Grid linked with IoT. 07 30 2019 5094 5097 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2347.078219 https://www.ijrte.org/portfolio-item/B2347078219/