-3dc97f3d182b6b0ed3d-5977 20220922073122500 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 9 2 CSE department, Kakatiya Institute of Technology & Sciences, Warangal, India. Sharfuddin Waseem Mohammed C. Madan Kumar CSE department, Kakatiya Institute of Technology & Sciences, Warangal, India. Narasimha Reddy Soora CSE department, Kakatiya Institute of Technology & Sciences, Warangal, India. over past few decades neural network changed the way of traditional computing many different models has proposed depending upon data intensity, predictions, and recognition and so on. Among which Gated Recurrent Unit (GRU) is created for variety of long short-term memory (LSTM) unit, which is part of recurrent neural network (RNN). These models proved to be dominant for range of machine learning job such as predictions, speech recognition, sentiment analysis and natural language processing. In this proposed model, a support vector machine (SVM) with modified kernel as final output layer for prediction is used instead of traditional approach of softmax and log loss function is used to calculate the loss. Proposed technique is applied for binary classification for intrusion detection using honeypot dataset (2013) network traffic sequence of Kyoto University. Results shows a prominent change in training efficiency of ≈89.45% and testing efficiency of ≈88.15% when compared with softmax output layer. We can conclude that linear SVM with modified kernel as output layer outperform compared with softmax in prediction time. 07 30 2019 4441 4444 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3337.078219 https://www.ijrte.org/portfolio-item/B3337078219/ Mathematics Department, KCG College of Technology, Karapakkam, Chennai. M. Geethalakshmi S. Tamilselvi Physics Department, KCG College of Technology, Karapakkam, Chennai. There are number of fields like agriculture, industry, insurance, tourism and others get affected directly or indirectly by a most common phenomenon known as the Rainfall. Till now we are not able to predict rainfall and it is one of the unsolved problems. This paper aims to synchronize stochastic modeling and square fuzzy transition probability relational matrix and it is obtained from the lexical terms along with the help of fuzzy value which in turn calculated form the lexical value. Fuzzy matrices are necessary in modeling uncertain situations in various fields. Here the lexical values are specially assigned heptagonal fuzzy numbers which in turn converted into fuzzy value to measure relation mappings. Along with this, synchronization is done for stochastic models with transition probability matrix and also with square fuzzy transition probability relation matrix to get a clear picture of the result. In this work, the changes in annual rainfall of Tamil Nadu depending on markov chain models are monitored. Statistical technique like Markov chain is applied at metrological stations in order to predict short term precipitation. The annual rainfall from 1901 to 2000 is derived and the frequency distribution table is formed. The class intervals are denoted as states and the transition probability matrix is formed due to the variations in annual rainfall. The uniform random states are formed by generating random number. The available stochastic climate models presently be adapted to form new climatic conditions if the forthcoming conditions is identified with necessary accuracy. Finally, prediction of rainfall based on two categories such as climatic factors and through states is analyzed in this study. 07 30 2019 4584 4590 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3338.078219 https://www.ijrte.org/portfolio-item/B3338078219/ Associate Professor, of EEE, Geethanjali college of Engineering and Technology, Hyderabad. G. Srikanth SG. Madhusudhana Rao Professor of EEE, VJIT, Hyderabad, India. Country Name. In this paper the digital simulation of physical system in MATLAB-SIMULINK for real-time applications is simulated for partial-scale or full-scale and validated simulation results with the existing system. One of the applications is AC drive systems with speed adjustability not only limited to equipment’s of electrical. The proper selection of AC motor drive is one of the main resolves of this paper. The efficient control of speed and torque is the second aim by considering the flux weakening regions. 07 30 2019 3388 3393 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3340.078219 https://www.ijrte.org/portfolio-item/B3340078219/ Department of IT, Bannari Amman Institute of Technology, Sathyamangalam, Tamilnadu, India R Arun Kumar K Sathesh Kumar Department of IT, Bannari Amman Institute of Technology, Sathyamangalam, Tamilnadu India T Prasanth Department of CSE, Jain University, Bangalore, India K Balakrishnan Department of Information Science & Engineering, Sri Venkateswara College of Engineering, Bengaluru, India The photographic images taken from different sources are integrated into one to form a new panoramic image which has high resolution when compared to the original image. Usually, image stitching can be done using any computer software. Image stitching helps us in extracting the actual information from shredded data. The torned paper can be reconstructed by means of image stitching process which is applied in forensic department. Digital maps and satellite photos can be reconstructed through image stitching algorithms which is also known as Image mosics. In recent days, many researchers introduced various algorithms to address the issues in Image stitching technique. Feature based Image stitching technique plays a vital role in most of these algorithms. In feature-based technique, local descriptor is used to compare an image’s feature points with another image’s feature points to predict the feature points for the given pair of image. In this paper different image stitching techniques, comparisons between various features descriptor and the steps involved in Feature extraction in Image stitching method are discussed. 07 30 2019 5543 5547 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3344.078219 https://www.ijrte.org/portfolio-item/B3344078219/ Federal State Budget Educational Institution of Higher Education “Industrial University of Tyumen”, Russia, 625000, Tyumen, Volodarskogo Mansur Hamitovich Gazeev Aleksandr Anatol'evich Sil'vanskij Federal State Budget Educational Institution of Higher Education “Industrial University of Tyumen”, Russia, 625000, Tyumen, Volodarskogo Olga Viktorovna Lenkova Federal State Budget Educational Institution of Higher Education “Industrial University of Tyumen”, Russia, 625000, Tyumen, Volodarskogo Svetlana Grigorievna Ignatenko Federal State Budget Educational Institution of Higher Education “Industrial University of Tyumen”, Russia, 625000, Tyumen, Volodarskogo The article reviews macroeconomic and internal factors that influence the efficiency and stability of operation of oil and gas enterprises, particularly oil price fluctuations in the global market and a rising share of difficult-to-recover reserves held on enterprises’ balance sheets. The article examines the possibility of using renewable energy in operations carried out by oil and gas companies in the Far North due to the remoteness and harsh climate conditions requiring the introduction of complicated technological solutions. Renewable energy can be used for the reduction of energy costs, improvement of stability and efficiency of operations. The possibility of using renewable energy is shown on the example of offshore fields located in the Far North. The Shtokman field is taken as an example to substantiate expediency of the use and the provision of the territory with solar and wind resources used as an additional source of energy. 07 30 2019 4445 4448 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3346.078219 https://www.ijrte.org/portfolio-item/B3346078219/ Industrial University of Tyumen, Tyumen, Volodarskogo St., 38, 625000, Russia Ludmila Mikhailovna Kalyanova The article discusses the features of the career strategies of technical University graduates, as well as the content of a career as a phenomenon, by highlighting its structure. The article presents the results of the study of the graduates’ career strategies of the direction 21.03.01 “Petroleum Engineering” of the Surgut Institute of oil and gas (a branch of the Industrial University of Tyumen in Surgut). The results of the career orientations and the career planning features are analyzed on the basis of the study, as well as a comparative analysis of the career strategies of each group of the graduates is given. 07 30 2019 4449 4452 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3347.078219 https://www.ijrte.org/portfolio-item/B3347078219/ Plekhanov Russian University of Economics, 36 Stremyanny, Moscow, 117997, Russia M.A. Ananiev S.P. Burlankov Plekhanov Russian University of Economics, 36 Stremyanny, Moscow, 117997, Russia D.M. Melnikova Plekhanov Russian University of Economics, 36 Stremyanny, Moscow, 117997, Russia N.V. Sedova Plekhanov Russian University of Economics, 36 Stremyanny, Moscow, 117997, Russia In the context of current geopolitical events, accurate and correct forecasting of food security and provision becomes highly relevant for solving managerial tasks and making management decisions under modern conditions. This article reviews the main trends in the field of food security, forecasts its key indicators, and identifies the main problems and directions for the development of food security in the Russian Federation. Indicators in the field of food independence, production, and consumption are analyzed. Forecasts of gross collection of vegetables and melons, cultivated areas, imports of food and agricultural raw materials, and consumer price index for food products are presented. The theoretical and methodological basis of the research includes both general and specific scientific methods for assessing the level of food security, as well as methods of economic and statistical analysis, extrapolation methods, modeling and forecasting of time series, adaptive forecasting methods, and factorial analysis. The main problems and threats to food security are identified, including the low level of real income of the population, low share of highly processed products in exports, continuing effect of Western sanctions, low level of innovation and technological development of the agro-industrial sector, etc.. The following measures to improve state regulation of food security have been determined: to increase the economic and physical access to food, to develop the capacity of the agro-industrial complex in the production and scientific and technical fields, to introduce modifications to the Food Security Doctrine, to implement innovative technologies in crop production and to increase its efficiency, to increase the share of companies engaged in organic farming, etc. 07 30 2019 4637 4642 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3348.078219 https://www.ijrte.org/portfolio-item/B3348078219/ ECE, Sri Ramakrishna Engineering College , Coimbatore, India. S. Niveda B. Vijayalakshmi ECE, Sri Ramakrishna Engineering College, Coimbatore, India C. Ram Kumar BME, Dr. NGP Institute of Technology, Coimbatore, India. The aim of this paper is to develop an Automated Test System (ATS) for the Test and Evaluation of C-Band Transmitter packages for GEOSAT Space crafts using Virtual Instrumentation. Efficiency, coverage, quality and accuracy for the test and evaluation of Device Under Test (DUT) can be increased by Automated Testing. Minimizing the errors anticipated with manual intervention. Automated Test System using Virtual instrumentation (VI) combines rapid development software and modular, flexible hardware to create user-defined test systems. Here Modular PXI (Peripheral component interface Extensions for Instrumentation) instruments from National Instruments are used with NI-LabVIEW software for realizing the ATS. For characterizing the C-Band Transmitter, Spectrum analyzer & Digital Multimeter (DMM) is configured in PXI form-factor and the Power supply is controlled through GPIB (General Purpose Interface Bus) bus. The complete software is developed using NI LabVIEW which takes care of configuring the test condition and analyzing the DUT performance. The user friendly GUI well takes care of user interaction to the ATS. 07 30 2019 4591 4596 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3350.078219 https://www.ijrte.org/portfolio-item/B3350078219/ Department of Electrical Engineering Muhammadiyah University of Yogyakarta Indonesia Anna Nur Nazilah Chamim Muhammad Eki Fawzi Department of Electrical Engineering Muhammadiyah University of Yogyakarta Indonesia Iswanto Department of Electrical Engineering Muhammadiyah University of Yogyakarta Indonesia Rama Okta Wiyagi Department of Electrical Engineering Muhammadiyah University of Yogyakarta Indonesia Ramadoni Syahputra Department of Electrical Engineering Muhammadiyah University of Yogyakarta Indonesia Wheeled robot is a robot that can run on a flat surface with the help of wheels as a driving medium. The robot is made using Arduino as a programming brain, where the robot can move forward, backward, turn right, and turn left with a smartphone via Bluetooth module. It is controlled via a smartphone as a remote control and Bluetooth HC-05 as a connecting medium between smartphone and robot. In addition to using the Arduino robot, it uses the L298N motor driver as an output regulator for DC motors. Based on the results of testing on this design, in experiment 1, the speed of robot experiment I is 0.58 m/s for a distance of 3 meters completed in 5.1 seconds, in experiment II, the speed is 0.56 m/s with the same distance and completed in 5.3 seconds, and in experiment III, the speed is speed of 5.4 m/s in 5.5 seconds. The difference in speed and duration between experiments is influenced by factors such as reduced battery voltage, and the process of sending data and pairing can be done as far as 13 meters. 07 30 2019 6244 6247 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3352.078219 https://www.ijrte.org/portfolio-item/B3352078219/ Hanoi Architectural University, 100000 Ha noi, Vietnam. Hong Son Nguyen Van Quan Tran University of Transport Technology, 100000 Hanoi, Vietnam Quang Hung Nguyen Thuyloi University, Hanoi, Vietnam. In the article, the author introduces how to determine the equivalent hardness of steel-concrete composite beam element, stiffness matrix and nodal load vector of steel-concrete beam element. Thereby, to build and solve the problem of analyzing the structural steel frame of concrete considering the anchor stiffness, programming and clarifying the impact of anchor stiffness associated with displacement - internal force of the frame. 07 30 2019 3614 3619 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3353.078219 https://www.ijrte.org/portfolio-item/B3353078219/ Department of Computer Science, Himachal Pradesh University, India Poonam Thakur Anita Ganpati Department of Computer Science, Himachal Pradesh University, India This paper presents the framework of cluster-based architecture for Vehicle to Vehicle (V2V) communication network. A cluster-based algorithm (VMCA) for multi-hop clustering will be designed which will be used in V2V communication. The algorithm will be simulated using the ns3 simulator and its performance will be compared with other existing multi-hop clustering algorithm discussed in the literature review. It is expected that the simulation results will prove this new cluster-based algorithm to be the optimum one when compared with the other of the same type. Once the validity of that algorithm is done, it will be improved to provide handover management in hybrid VANET architecture. We will simulate the complete scenario using ns-2 and some real mobility simulator for VANETs. The simulation results expected to show that the proposed cluster-based algorithm will be the optimum solution approach to the VANET handover in a hybrid architecture. 07 30 2019 5396 5400 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3354.078219 https://www.ijrte.org/portfolio-item/B3354078219/ Research Scholar, Department of CSE, Vinayaka Mission’s Research Foundation, Salem, Tamil Nadu, India. S. Sankar Ganesh Dr. K. Somasundaram Professor, Department of CSE, Aarupadai Veedu Institute of Technology, Vinayaka Mission’s Research Foundation, Salem, Tamil Nadu, India. Systems administration cognitive radios and hubs from primary system (PS) results in a heterogeneous existing together multi radio remote system, with the goal that critical system throughput addition can be accomplished. Be that as it may, by exploring cognitive radio networks (CRN) engineering, the connections in CRNs are probably not going to help total security check because of connection elements, crafty accessibility, and uni-directional in accessible time window, so trust and reputation system is required. CORE is a reputation based security mechanism which enforces cooperation of nodes in CRN. CONFIDANT is based on selective unselfish and belief in mobile nodes and it aims to detect and isolate misbehaving nodes. Both CORE and CONFIDANT mechanism give the trustworthiness of all mobile nodes in the network and it punishes misbehaving nodes once it detected. This paper gives the comparative study of trust based neighbor monitoring CORE and CONFIDANT on secured routing protocols. The simulation results shows that our work provides better detection efficiency, better detection coverage and packet delivery ratio in routing protocols with neighbor monitoring scheme. 09 30 2019 4489 4498 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3356.078219 https://www.ijrte.org/portfolio-item/B3356078219/ Research Scholar, School of Computer Studies, Rathnavel Subramaniam College of Arts and Science, Coimbatore, Tamilnadu, India. J.Loveline Zeema Dr.D.Francis Xavier Christopher Director, School of Computer Studies, Rathnavel Subramaniam College of Arts and Science, Coimbatore, Tamilnadu, India. With the advancement in the software field, diagnosing dyslexia in earlier stages among children is highly possible. It helps them to take necessary measures to rise above the problem. This paper intends to develop an uncertainty handling model using neutrosophic logic inference system. This system’s functionality is enhanced by introducing paraconsistent logic with whale behavior based optimization. Paraconsistent logic is used to discover the degree of certainty and contradiction of generated rules. Pruning the population of rules is handled by a nature inspire algorithm known as whale behavior based rule optimization. Dyslexia dataset consists of both vague and crisp values. Treating them as such will often lead to high false alarms in the detection process. To overcome this issue the neutrosophic model is used to denote them in terms of membership degree of truthiness, indeterminacy, and falsity. The paraconsistent analyzer works with the favorable and unfavorable degree of evidence of each rule to handle the inconsistency and uncertainty among dyslexia detection. The potential rules are selected by the encircle prey model of the whale optimization algorithm. The simulation results proved that the performance of the proposed model produces high detection rate in the detection of dyslexia. 07 30 2019 4597 4604 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3357.078219 https://www.ijrte.org/portfolio-item/B3357078219/ Associate Professor, Department of Electronics and Communication Engineering, Sri Ramakrishna Engineering College, Coimbatore, India. B.R. Sathishkumar M. Krishnaprabha U.G. Students, Department of Electronics and Communication Engineering, Sri Ramakrishna Engineering College, Coimbatore, India. S. Priya U.G Students, Department of Electronics and Communication Engineering, Sri Ramakrishna Engineering College, Coimbatore, India. M. Ragavi U.G Students, Department of Electronics and Communication Engineering, Sri Ramakrishna Engineering College, Coimbatore, India. This paper predominantly focus to lessen the consumption of power and manual work. The prototype system uses the robot to detect the book. The input will be given to the robot. The user can search the book by giving the book name and name of the author. This functionality can be aggrandizing using android application, which aids fast usability, remote accessibility.LED in the robot will blink if the searched book is identified. This is achieved using RFID tag and RFID reader. Power efficiency is achieved by providing light only to the area where the book is detected. In case of any rearrangement of books, the process of searching a book will become tedious. Monitoring whether the students is placing the book in the appropriate place is also not possible. For this process it is easy to place a robot to check whether all the books are in right order. 07 30 2019 4643 4647 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3365.078219 https://www.ijrte.org/portfolio-item/B3365078219/ Civil Engineering, Integral University, Lucnow, India. Dr. Sabih Ahmad Abdullah Anwar Civil and Environmental Engineering, Universiti Teknologi, PETRONAS, Seri Iskandar, Perak, Malaysia. Prof. Bashar S. Mohammed Civil and Environmental Engineering, Universiti Teknologi, PETRONAS, Seri Iskandar, Perak, Malaysia. Dr. Mubarak bin Abdul Wahab Civil and Environmental Engineering, Universiti Teknologi, PETRONAS, Seri Iskandar, Perak, Malaysia. Prof. Syed Aqeel Ahmad Civil Engineering, Integral University, Lucknow, India. Concrete is currently the world's biggest consumer product that uses natural resources such as sand, crushed stone, and water. Research is under way today to decrease consumption of these materials, due to the depletion of these natural resources for concretion. The fast building growth in India led to a lack of standard building materials. The amount of concrete used and the accessibility of raw material in a developed country such as India are much lower. Ceramics produce wastes inevitably in the ceramic industry, regardless of improved processes; around 15%-30% of production is waste output. The ceramic industry dumps waste in all surrounding storage or empty regions close to the facility, although reported locations are labelled for discarding. The pollution of the dust and the occupation of a broad area of soil is caused by serious environmental contamination especially after the powder is dry. Ceramic dust is the most important waste from the ceramic industry. This paper investigates concrete strength features through fractional substitution of fine aggregates with ceramic powder. The fine aggregate was partly combined with ceramic powders in the current experimental study for M25 concrete grade. The tests were performed with 10 percent, 30 percent, 40 percent, 50 percent substitution of fine aggregates with ceramic powder by weight and 28 days of strength testing to evaluate the mechanical characteristics i.e.; compression, tension, and flexural behavior. The optimum proportion of ceramic powder addition is evaluated in view of the mechanical requirements of concrete 07 30 2019 5712 5718 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3366.078219 https://www.ijrte.org/portfolio-item/B3366078219/ Michurinsk State Agrarian University, Internatsionalnaya Street, 101, Michurinsk, Russia A.V. Nikitin R.A. Smykov Michurinsk State Agrarian University, Internatsionalnaya Street, 101, Michurinsk, Russia With international sanctions and the reciprocal food import embargo in place, ensuring food supply by procurement of domestic Russian products can be addressed through the implementation of the import substitution strategy. The Tambov region, with its favourable conditions for many types of agricultural production, plays an important role in ensuring food security. Amid the recent considerable decline in the average per capita nutrition levels, Russia has significant potential for food demand growth provided an increase in real income levels and price stabilisation. This should stimulate growth in production and improved efficiency of the agro-industrial complex. The development of Russian poultry farming can play an important role in it. 07 30 2019 4648 4651 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3367.078219 https://www.ijrte.org/portfolio-item/B3367078219/ Computer Engineering Department, College of Engineering, University of Perpetual Help System Laguna, City of Biñan, Laguna, 4024 Philippines Kenneth C. Karamihan Ivan Dave F. Agustino Computer Engineering Department, College of Engineering, University of Perpetual Help System Laguna, City of Biñan, Laguna, 4024 Philippines Ronnick Bien B. Bionesta Computer Engineering Department, College of Engineering, University of Perpetual Help System Laguna, City of Biñan, Laguna, 4024 Philippines. Ferangelo C. Tuason Computer Engineering Department, College of Engineering, University of Perpetual Help System Laguna, City of Biñan, Laguna, 4024 Philippines. Steven Valentino E. Arellano Computer Engineering Department, College of Engineering, University of Perpetual Help System Laguna, City of Biñan, Laguna, 4024 Philippines. Phillip Amir M. Esguerra Electronics Engineering Department, College of Engineering, University of Perpetual Help System Laguna, City of Biñan, Laguna, 4024 Philippines. This Raspberry Pi Single Board Computer-Based Cataract Detection System using Deep Convolutional Neural Network through GoogLeNet Transfer Learning and MATLAB digital image processing paradigm based on Lens Opacities Classification System III with Python application, which would capture the image of the eyes of cataract patients to detect the type of cataract without using dilating drops. Additionally, the system could also determine the severity, grade, color or area, and hardness of cataract. It would also display, save, search and print the partial diagnosis that can be done to the patients. Descriptive quantitative research, Waterfall System Development Life Cycle and Evolutionary Prototyping Models was used as the methodologies of this study. Cataract patients and ophthalmologists of one of the eye clinics in City of Biñan, Laguna, as well as engineers and information technology professionals tested the system and also served as respondents to the conducted survey. Obtained results indicated that the detection of cataract and its characteristics using the system were accurate and reliable, which has a significant difference from the current eye examination for cataract. Generally, this would be a modern cataract detection system for all Cataract patients. 07 30 2019 4605 4613 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3368.078219 https://www.ijrte.org/portfolio-item/B3368078219/ School of Computer Science and Engineering,, VIT University, Chennai, India. Abdul Rahman .A Justus Selwyn School of Computer Science and Engineering,, VIT University, Chennai, India. Knowledge Management System (KMS) is a collective process of organizational knowledge from capturing to dissemination. The three fourth of world’s corporate market value resides today in assets such as intellectual property, customer data, financial records, strategies and trade secrets. These assets are all knowledge based. KMS becomes inexorable to achieve competitive advantages in this present information and communication technology epoch. However Lack of effectiveness in knowledge Management System is turmoil to any organization due to its integrated domain. But an effective KMS can helps to organization to achieve tremendous benefits such as competitive advantages, innovation, leadership, social values, increased customer satisfactions, quality in product, financial credibility and people values, So knowledge management system needs to consider significant views such as technical, functional, people and organization image for effectiveness. Almost all the research works related to quality model for KMS are limited in views. This paper proposes an effectiveness framework which includes significant quality dimensions and variables to measure each. This paper also includes empirical validation using data collected from three sectors: nuclear power production, Electrical equipment manufacturing and software industry for suitability analysis through statistical method. We considered primary variable from each identified dimension to analyze the suitability of KMS with 25 knowledge workers in each sector through five parameters: Completeness of product, Customization of process, Ontology standard, Applicability of KMS content, and Decision making ability. 07 30 2019 4195 4199 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3371.078219 https://www.ijrte.org/portfolio-item/B3371078219/ Department CSE, S R Engineering College, Warangal, India. D. Kothandaraman M. Sheshikala Department CSE, S R Engineering College, Warangal, India. K. Seena Naik Department CSE, S R Engineering College, Warangal, India. Y. Chanti Department CSE, S R Engineering College, Warangal, India. B. Vijaykumar Department CSE, S R Engineering College, Warangal, India. Internet of Things (IoT) is a fast- growing technology in on-going research field that includes wireless sensor networks, cloud computing, big data analytics, ubiquitous computing, distributed decentralized systems, pervasive computing, embedded systems, mobile computing, machine learning etc. The above mentioned fields are mainly connected with IoT smart portable devices such as smartphones, home appliances, healthcare device, smart vehicle devices automation industry devices, etc. Though IoT enabled devices has been increased in many fields, the industries still faces many problem with connectivity issues because of several factors like mobility nature of devices; limited processing power and resource availability which includes energy, bandwidth constraints, routing cost and end to end delay; communication between node to node via intermediate mobile nodes towards destination may also fail links frequently, there by affecting the network performance. These limitations of existing topology based on reactive tree and mesh based routing protocols create challenging task while designing an optimized stable routing algorithm for IoT. In such a situation, resource optimization is an essential task to be performed by the IoT networks. In the proposed work resource optimization was done by Designed Optimized Multicast Routing Algorithm (DOMRA) for IoT. The DOMR algorithm implemented has route discovery process with nodes positions, directions of nodes, velocities of nodes, and then the path stability bases to overcome the connectivity issues. The proposed algorithm focusing to deploy various real time IoT enabled applications such as smart home automation, smart cites, smart agriculture, automation industry etc. To finalize the simulation results shows maximized system throughput, goodput, packet delivery ratio, network lifetime, network routing performance and reduced control overheads. The proposed algorithm hence produced better routing performance when compared with other existing algorithm in wireless networks. 07 30 2019 4048 4053 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3372.078219 https://www.ijrte.org/portfolio-item/B3372078219/ Almetyevsk Branch of Kazan National Research Technical University named after A. N. Tupolev, Almetyevsk, Russian Federation. Yevgeniya Vladimirovna Kabitova Svetlana Valentinovna Iudina Almetyevsk Branch of Kazan National Research Technical University named after A. N. Tupolev, Almetyevsk, Russian Federation. This study is based on the use of discriminant analysis techniques in order to individualize the analytical tools to assess the efficiency of managing the operating assets of economic agents. It has been determined that for the enterprises belonging to the Group of Companies, different integral indicators with different levels of discrimination are created while using identical discriminant variables, according to which the opposite conclusions can be drawn about the population belonging to a particular class with the same values for each subject. The developed empirical compartment functions prove the thesis of the erroneousness of universalization and generalization of conclusions when applying statistical methods. In other words, the need to identify problems at enterprises, their development potential, and the specifics of made managerial decisions remains an urgent task of analyzing financial and economic activities. 07 30 2019 4652 4661 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3374.078219 https://www.ijrte.org/portfolio-item/B3374078219/ Department of Computer Engineering, JSPM’s Rajarshi Shahu College of Engineering, Pune, (M.H.), India. Yogini Patil V. M. Barkade Department of Computer Engineering, JSPM’s Rajarshi Shahu College of Engineering, Pune, (M.H.), India. Face recognition(FR) has multi-domain applications and video based FR is good area of research in terms of accuracy and performance. Recent research has proved that Convolutional Neural Network (CNN) is a one of best solution for object detection and recognition as it extracts features from on its own and performs classification as well. As we go for higher accuracy models, size of network increases and it requires more time to process a frame or video as it involves more computations. This paper aims at building a FR model which is smaller in network size, requires limited resources while building and still achieves good accuracy. The system uses combination of deep learning and machine learning based solution. FR system is built with CNN-Suport Vector Machine(SVM) model where CNN performs feature extraction and SVM performs classification task. Results shows that CNN-SVM model gives higher accuracy (94.05% validation and 90.17% testing) compared to conventional CNN-softmax model (93.37% validation and 88.77% testing) with a small network size and also requires less training time. Results can be improved by using cross validation techniques. 07 30 2019 5719 5723 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3375.078219 https://www.ijrte.org/portfolio-item/B3375078219/ AIIT, Amity University, Noida, (RDIAS), India. Akanksha Upadhyaya Vinod Shokeen AIARS, Amity University, Noida, India. Garima Srivastava CS/IT, DRKNMIET, Ghaziabad, India. Detection of counterfeit banknotes becoming a major issue in today’s scenario, as it is seems to be weighty aspect in terms of socio-economy of every living being. This paper highlights various distinguishing features of currencies of different countries, having an objective to secure their currency less susceptible from forgery. Afterwards, the paper focuses on analysing and comparing the rate of counterfeit detection with the forecasted rate of counterfeit currency detection. The analysis has been performed using, paired sample t-test and elementary time series forecasting in IBM SPSS 21 and RStudio respectively. Data points from 1999-00 to 2017-18 have been collected from Reserve Bank of India Annual reports under currency management section. 07 30 2019 5724 5731 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3381.078219 https://www.ijrte.org/portfolio-item/B3381078219/ Hanoi Architectural University, 100000 Ha noi, Vietnam Hong Son Nguyen Dung Bao Trung Le Hanoi Architectural University, 100000 Ha noi, Vietnam Van Quan Tran University of Transport Technology, 100000 Hanoi, Vietnam Quang Hung Nguyen Thuyloi University, Hanoi, Vietnam. The report presents a new method for linear analysis of continuous curved flat bar, subject to any load in space. This method is a combination of improving the expression of the load and displacement at the two ends of the curved bar element of the Transfer Matrix Method and Finite Element Method (TMMFEM), called the Matrix Method transfer improvements. The research results are to build math problems and programming with Matlab, verify with the results according to SAP2000 oftware and « Strength of materials » documents. 07 30 2019 3620 3626 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3383.078219 https://www.ijrte.org/portfolio-item/B3383078219/ Hanoi Architectural University, 100000 Ha noi, Vietnam. Hong Son Nguyen Van Quan Tran University of Transport Technology, 100000 Hanoi, Vietnam Quang Hung Nguyen Thuyloi University, Hanoi, Vietnam. In the report, the optimal design problem of flat steel frame structure in the deformed state is considered, considering the softness of “the beam-column connection pinned” with “the moments-rotation angle relationship of the connection” is nonlinear, linearized by three straight lines, the material of the structure is elastic – plastic material in ideal state and considering the P-Delta effect. Establish and solve the problem of flat steel frame structure in the form of nonlinear planning and solve the problem thanks to MATLAB 6.0 programming language. Create a specialized program to optimize the steel frame structure, the results illustrate the effect of bonding softness and P-Delta effect on the weight of steel frame structure. 07 30 2019 3627 3632 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3384.078219 https://www.ijrte.org/portfolio-item/B3384078219/ Department of Civil & Env. Engineering, Research scholar, V.J.T.I., Mumbai-400019, India. Navale V.B Mhaske S.Y Department of Civil & Env. Engineering, Associate Prof.V.J.T.I., Mumbai-400019, India This paper examines that, with the help of Remotes Sensing (RS) and Geographical Information system (GIS) Land use/Land cover of the town area from period 1975 to 2017 are classified into different classes. The town information is extracted from Toposheet and Remote Sensing Landsat-7 ETM+ images of 1975 to 2017. There are five expansion types are considered during 42 years, including water body, built-up area, forest, Agriculture and exposed Rock. By analyzing the data from the year 1975 to 2017 we found that the natural feature area such as water body, the forest is decreasing continuously and the area of town that is built-up area increase partially etc. Shannon’s Entropy approach identifies the degree of special concentration and dispersion growth, its value is close to 1 which indicates that space distribution is evenly dispersed. According to get the value of statistical Kappa Coefficient which lies in between 0.75 to 0.89 we say that there is accuracy in the requirement of research. Also, in addition to that population for the next three-decade help to define the built-up area of the city, the method used to forecast the population are Arithmetic increase method, Geometric increase method, Incremental increase method, Decreasing rate of growth method and Simple graphical method, this method gives a forecast of urban expansion from the year 2021 to 2041. The Land use/ Land cover changes classification is useful for proper planning, utilization and management of resources. Land use/Land cover changes are contributed to creating community spirit and a properly balanced population structure. 07 30 2019 4614 4621 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3386.078219 https://www.ijrte.org/portfolio-item/B3386078219/ Research Scholar, IKG Punjab Technical University, Jalandhar, Punjab, India Mr. Anuj Goyal The district Gurugram in the state Haryana has seen significant extension & development during the last few years. In this paper, the change in land-use/cover has been estimated with time range of 2007 - 2017 and the change detection was quantified. The land-use/cover data generated through satellite imagery has been classified into five major classes i.e., (i) Built-up land (ii) Water Bodies (iii) Barren Land (iv) Agricultural Land (v) Vegetation. The investigation was helped out through Geoinformatics approach by using IRS-P6-LISS-III sensor of 2007 and IRS-P6-LISS-IV sensor of 2017. Observing of land-use/spread mirrored that changes were more noteworthy in degree over the time range of 10 years in the land under various classes. The most sensational changes are the increase in built-up land and barren land. Apart from this decrease in agricultural, water bodies and vegetation cover area also. Results demonstrates an expansive change in the territory of various land use classifications amid the period from 2007 to 2017.The agriculture land covering an area of about 55.27% in 2007 reduced to 43.42% in 2017. The built up area increased from 15.97 % in 2007 to 30.23 in 2017. The barren land area increased from 6.45 % in 2007 to 16.97 in 2017 The Water bodies decreased from 4.65 % in 2007 to 1.05 % in 2017. The vegetation area has also decreased from 17.66 % in 2007 to 8.33 % in 2017. Urban extension and various anthropogenic exercises have brought genuine misfortunes of agricultural land, vegetation and water bodies. 07 30 2019 3753 3755 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3388.078219 https://www.ijrte.org/portfolio-item/B3388078219/ Research Scholar, Computer Science and Engineering, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, India, Gajanan Walunjkar Dr Anne Koteswara Rao Professor, Computer Science and Engineering, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Peoples in the disastrous areas under collapsed buildings or landslides need to be rescued in seventy-two hours. Ad hoc networks have been proved to be suitable for various disaster scenarios since no infrastructure needs to be deployed for communication. In this paper, various ad hoc routing protocols such as destination distance vector routing protocol, dynamic source routing protocol, ad hoc on demand routing protocol etc. are discussed and analyzed in such disaster scenario using disaster area mobility model on large size. Disaster area mobility model is more desirable in such scenario. Also these protocols are compared using various performance qualitative and quantitative metrics such as packet delivery ratio, delay, throughput, control overhead and energy etc. 07 30 2019 4200 4204 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3389.078219 https://www.ijrte.org/portfolio-item/B3389078219/ Symbiosis Centre for Management Studies, NOIDA, Symbiosis International (Deemed University). Kriti Priya Gupta The aim of the present study is to find the relative importance of related challenges of implementing artificial intelligence (AI) in governance within the context of India. Eight sub-dimensions of challenges categorized under three main dimensions are considered for prioritization. The analytic hierarchy process (AHP) methodology is employed to prioritize the challenges. The primary data pertaining to pair-wise comparisons of various factors and sub-factors has been obtained from 170 government officials by using convenience sampling. The results indicate that concerns related to data security, acquisition and storage are the major challenges in implementing AI assisted governance. Additionally, ethical considerations related to unethical use of data and lack of trust are other challenges which may act as barriers in diffusing AI in governance. 07 30 2019 3756 3762 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3392.078219 https://www.ijrte.org/portfolio-item/B3392078219/ Department of Computer Science &Engineering Dayananda Sagar University ,Bengaluru, India Ekta Maini Bondu Venkateswarlu Department of Computer Science & Engineering Dayananda Sagar University ,Bengaluru, India Arbind Gupta Department of Computer Science &Engineering ,Dayananda Sagar College of Engineering ,Bengaluru, India. Heart diseases are responsible for the greatest number of deaths all over the world. These diseases are usually not detected in early stages as the cost of medical diagnostics is not affordable by a majority of the people. Research has shown that machine learning methods have a great capability to extract valuable information from the medical data. This information is used to build the prediction models which provide cost effective technological aid for a medical practitioner to detect the heart disease in early stages. However, the presence of some irrelevant and redundant features in medical data deteriorates the competence of the prediction system. This research was aimed to improve the accuracy of the existing methods by removing such features. In this study, brute force-based algorithm of feature selection was used to determine relevant significant features. After experimenting rigorously with 7528 possible combinations of features and 5 machine learning algorithms, 8 important features were identified. A prediction model was developed using these significant features. Accuracy of this model is experimentally calculated to be 86.4%which is higher than the results of existing studies. The prediction model proposed in this study shall help in predicting heart disease efficiently. 07 30 2019 4499 4504 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3393.078219 https://www.ijrte.org/portfolio-item/B3393078219/ Department of Computer Science & Engineering, NITTR, Sector 26, Chandigarh , India. Apanveer kaur Amit Doegar Department of Computer Science & Engineering, NITTR, Sector 26, Chandigarh – 160019, India. Breast cancer is an alarming disease which takes millions of lives every year. In 2018, it was anticipated that 627,000 women died due to breast cancer – which is around 15% of all deaths caused due to different types of cancers among women. Currently, risk factors of breast cancer cannot be avoided, and early detection is the only way of survival. Automated detection of breast cancer with the help of image processing methods and machine learning algorithms helps in giving more accurate results and less human power. In the proposed system, multiple features are extracted using HSV histogram, LBP, GLCM, 2-D DWT. Support vector machine and LIBSVM classifiers are used for the classification of mammogram images if it’s benign or malign in nature. For classification, the INbreast dataset have been used which includes 115 cases containing 410 images. The dataset is divided into benign and malign category based upon BI-RAIDS scale. According to this partition we have 243 benign images and 100 malign images present in this dataset and a feature matrix of 595 features in total is generated for balanced and unbalanced datasets respectively and fed into SVM and LIBSVM to distinguish the data. The balanced datasets on LIBSVM gave best results with 92% accuracy, 84% sensitivity, 100% specificity and 91.30% F1 score followed by SVM which gave 75% accuracy, 73.61% sensitivity, 76.66% specificity and 75.8% F1 score. 07 30 2019 5401 5405 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3394.078219 https://www.ijrte.org/portfolio-item/B3394078219/ Department of Electronic Calculating Machines / Tver State Technical University, Tver, Russia. Alexey Ivanov Fares Abu-Abed Faculty of International Academic Cooperation / Tver State Technical University, Tver, Russian Federation. Modern road traffic control systems become more complex with each year due to the growing number of cars, demand for more optimized road network designs, and desire to decrease road traffic delays at the intersections during rush hours because of the constantly growing metropolitan area and hence the need of moving farther away across the city. Therefore, a need is very much relevant nowadays for technologies, which can help build more optimal and intelligent road traffic control systems, which in turn will help optimize already existing road network designs. With the help of computer modeling software, it is possible to recreate already existing segments of road network, and by implementing control logic, it is possible to observe how control system and road traffic would react to various changes. This paper looks at how computer modeling software (namely SUMO) can help with the validation of road traffic control system changes without the risks of road traffic accidents caused by manipulation of real control systems. 07 30 2019 4662 4666 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3396.078219 https://www.ijrte.org/portfolio-item/B3396078219/ PG Research Scholar, E.E.E Dept., JNTUA, Anantapuram, AP, India. Shaik Ayesha K. Jithendra Gowd Assistant Professor, E.E.E Dept., JNTUA, Anantapuram, AP, India. D. Dharani Lakshmi Ph.D. Research Scholar, E.E.E Dept., JNTUA, Anantapuram, AP, India. By the coordination of the superconducting fault current limiter (SFCL), superconducting magnetic energy storage (SMES) and distributed generation (DG) units, the stability of the microgrid is increased under short circuit fault conditions. And by this coordination control, the microgrid is smoothly separated from the main network under severe fault and attains a fault ride through (FRT) operation under minor fault. In this paper, to overcome the drawbacks of the PI controller a fuzzy logic controller (FLC) is used in the controller of the SFCL. This proposed method is carried out in a MATLAB/Simulink. The results show the achievement of a better control strategy. 07 30 2019 5548 5554 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3397.078219 https://www.ijrte.org/portfolio-item/B3397078219/ Assistant Professor, Department of Computer Science and eng, Telangana University, Nizamabad, Telangana, India. Nandini Balusu Narsimha G Professor, Department of Computer Science and eng, JNTUH College of Engineering, Hyderabad, Telangana, India. Suresh Pabboju Professor, Department of IT, Chaitanya Bharathi Institute of Technology, Hyderabad, Telangana State, India. Channel Assignment (CA) in MRMC Wireless Mesh Network (WMN) is an efficient device that exploits numerous non-intersecting channels to reduce the interference and augment the capability of WMN. However, CA could diminish the complete network interference; its consequences might cause certain design issues that impact the efficiency of the network. A good CA in wireless mesh networks could minimize numerous interference co-channels and enhance the throughput. The clonal selection approach is simulated using the rudimentary notion of adaptive immune reply to virus stimulus. The PSO is inspired using the social behaviors of swarms. Motivated by these two optimization methodologies, in this paper, a hybridized particle swarm aided clonal selection approach is introduced for resolving channel assignment issue, i.e., evaluating a lower-interference channel assignment depending on gathered data. Conflict Vector in Conflict Graph known as antigens in clonal selection algorithm having fewer affinity values are improved using the particle swarm optimization update operation. Then the clonal selection and mutation operation is employed iteratively to generate the optimum conflict vectors. The experimental results are carried out using NS2. From the outcomes, it is clearly shown that the suggested approach has better energy efficiency, packet delivery ratio, and less network delay, packet drop compared to existing algorithms. 07 30 2019 3763 3769 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3403.078219 https://www.ijrte.org/portfolio-item/B3403078219/ Department of Aeronautical and Automobile Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India Pulkit Sharma Vishnu G Nair Department of Aeronautical and Automobile Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India This paper attempts to use GSO algorithm to tune a PID controller that can be used to control a satellite using reaction wheels. These have a higher order transfer function and the controller will be more difficult to tune due to this. To do this, a satellite is chosen which controls its attitude using reactions wheels. An axis is chosen and the reaction wheel along this axis is taken into consideration. A PID controller is then attached to this system. PID (Proportional-Integral-Derivative) are one of the most popular controllers used due to their broad applications and easy to design nature. The PID controller is tuned using Glowworm Swarm Optimization (GSO) algorithm and then the system is checked against a step input. The optimization of the controller is done by minimizing the time weighed absolute error cost function. 07 30 2019 4205 4210 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3404.078219 https://www.ijrte.org/portfolio-item/B3404078219/ Associate Professor, Department of Electronics and Communication Engineering, Kings College of Engineering, Punalkulam, Tamil Nadu, India Dr. T. Shanthi Dr. E. Sakthivel Associate Professor, PSR engineering College, Sivakasi, Tamilnadu, India Dr. M. Arunraja Associate professor, Jeymugi engineering College, Jayamukhi Institute of Technological Sciences - JITS Warangal Telangana, India Cognitive Radio based Heterogeneous Wireless Sensor Network (CoRHAN) is an innovative multi-layered infrastructure approach in wireless engineering which incorporates different communication modes over large geographical area. CoRHAN employs cooperative communication among sensor nodes and cognitive radio to ensure an optimized communication experience for users. It shares radio resources fairly and efficiently by integrating multiple networks together. Challenge in such network is the ability to instantly detect interference on the frequencies being used and quickly tune to other better frequencies for communication reliability. In this paper, we have proposed an enhanced CoRHAN using Fuzzy Inference System (FIS). FIS is applied to mitigate the fading frequencies due to co-channel interference. It helps to sort out the best frequency channel among the selected cooperative spectrum sensed channels. Prototype was developed to demonstrate the proof of concept and analyze the feasibility and practicality of using FIS-CoRHAN technique in Cognitive Radio based Heterogeneous Wireless Sensor Network. Simulation results show that our solution achieves better performance when compared to existing CoRHAN approach substantially satisfying the robustness constraints. 07 30 2019 5555 5564 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3409.078219 https://www.ijrte.org/portfolio-item/B3409078219/ Department of Computer Applications, MRIIIRS, Faridabad, India. Neerja Negi Satish Chandra Department of Computer Science & Engineering, JIIT, Noida, India. Nowadays, due to the ease of availability of internet technology large numbers of people are using the World Wide Web. The companies are changing their way to do business. They are shifting from a data-oriented system to a service-oriented system. Now companies are able to depict their business in the form of web services and make them available on the internet. Due to this number of web services are available for satisfying the user’s need. But to select the best web service that satisfies user specification is a challenging issue. So, it is necessary to consider not only the functional requirement of the web services but also the nonfunctional requirements of the web services. On the other hand, users are not able to specify the exact nonfunctional parameter requirements so, there is a need for QoS processor which can understand the user's need and can extract the parameters for QoS. In this paper, a modified TOPSIS approach based on MCDM is proposed for the selection of efficient web service. The web services that are near to user expectations are selected out using the proposed method. Experimental outcomes show that the proposed approach determines the most promising results. 07 30 2019 5732 5738 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3412.078219 https://www.ijrte.org/portfolio-item/B3412078219/ Hanoi Architectural University, 100000 Ha noi, Vietnam. Hong Son Nguyen Trung Thanh Pham Vietnam Institute for Bulding Science and Technology, 100000 Hanoi, Vietnam Quang Hung Nguyen Thuyloi University, Hanoi, Vietnam. This paper shows how to build stiffness matrix and load vector by energy method for taper, I section elements includes the effects of shear and semi-rigid connection, use for structural analysis problem. Mathematical model of the section is exponential. Thereby, programming the structural analysis program for taper elements and verify results stiffness matrix, load vector as well as assessing the effects of shear and semi-rigid connection to force and displacement of this element. 07 30 2019 3633 3641 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3421.078219 https://www.ijrte.org/portfolio-item/B3421078219/ Computer Science & Engineering, ABESEC, Ghaziabad, India, Pooja Saharan Rashmi Mishra Computer Science & Engineering, ABESEC, Ghaziabad, India Charvee Garg Computer Science & Engineering, ABESEC, Ghaziabad, India Aman Payal Computer & Engineering, ABESEC, Ghaziabad, India, Nearly 17.5 million deaths occur due to cardiovascular diseases throughout the world. If we could create such a mechanism or system that could tell people about their heart condition based on their medical history and warn them of any risk than it could be of huge help. In our work, we will use machine learning algorithms to forecast the heart disease risk factor for a person depending upon some attributes in their medical history. The data mining technique Naive Bayes, Decision tree, Support Vector Machine, and Logistic Regression is analyzed on the Heart disease database. The accuracy of different algorithms is measured and then the algorithms are compared. 07 30 2019 4629 4636 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3423.078219 https://www.ijrte.org/portfolio-item/B3423078219/ Associate Professor, Department of CSE, VLITS, Vadlamudi, Guntur (dt), (Andhra Pradesh), India. K Venkateswara Rao Technology is growing day by day and the influence of them on our day-to-day life is reaching new heights in the digitized world. Most of the people are prone to the use of social media and even minute details are getting posted every second. Some even go to the extent of posting even suicide related issues. This paper addresses the issue of suicide and is predicting the suicide issues on social media and their semantic analysis. With the help of Machine Learning techniques and semantic analysis of sentiments the prediction and classification of suicide is done. The model of approach is a four-tier approach, which is very beneficial as it uses the twitter4J data by using weka tool and implementing it on WordNet. The precision and accuracy aspects are verified as the parameters for the performance efficiency of the procedure. We also give a solution for the lack of resources regarding the terminological resources by providing a phase for the generation of records of vocabulary also. 07 30 2019 4833 4837 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3424.078219 https://www.ijrte.org/portfolio-item/B3424078219/ Department of Computer Science, Federal University, Oye-Ekiti, Ekiti State, Nigeria. Ogunleye G.O Fashoto S.G Department of Computer Science, University of Swaziland, Kwaluseni, Swaziland Daramola C.Y. Department of Computer Science, Federal University, Oye-Ekiti, Ekiti State, Nigeria Ogundele L.A. Department of Computer Science, College of Education, Ilesa, Osun State, Nigeria Ojewumi T.O. Department of Computer Science, Redeemer’s University, Ede, Osun State, Nigeria Adewole Timilehin Department of Computer Science, Federal University, Oye-Ekiti, Ekiti State, Nigeria Machine learning has become one of the foremost techniques used for extracting knowledge from large amounts of data. The programming expertise required to implement machine learning algorithms has led to the rise of software products that simplify the process. Many of these systems however, have sacrificed simplicity as they evolved and included more features. In this study, a machine learning software with a simple graphical user interface was developed with a special focus on enhancing usability. The system made use of basic graphical interface elements such as buttons and textboxes. Comparison of the system with other similar open-source tools revealed that the developed system showed an improvement in usability over the other tools. 07 30 2019 3770 3777 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3426.078219 https://www.ijrte.org/portfolio-item/B3426078219/ Kazan Branch of the Russian State University of Justice, Kazan, Russia Damir Ravilevich Vakhitov Tatiana Nikolaevna Grinevetskaya Novosibirsk State Medical University, Novosibirsk, Russia Yulia Vladimirovna Samovich Kazan Branch of the Russian State University of Justice, Kazan, Russia Marina Rayhanovna Magdeeva Kazan Cooperative Institute (Branch) of the Russian University of Cooperation, Kazan, Russia Lyubov Vasilyevna Gusarova Kazan Innovative University named after V.G. Timiryasov, Kazan, Russian The problem of global warming is a threat to humankind. A slow, steady and gradual increase in the average temperature on the planet is a systematic event directly related to the negative effects of climate change. This phenomenon contributes to the rise of the world ocean level, and, as a result, leads to flooding of large territories. The world community is concerned about the need for concerted action within the UN to develop common standards and principles to counter the negative effects of global warming and climate change issues have become the subject of legal regulation on international and regional levels. Climate change under discussion has been an important issue for more than a decade. However, at present, humanity is facing a real threat to its further existence, as the increase in the average planetary temperature threatens not only natural but also economic, social and political crises and disasters. In this paper, the authors analyze various effects of global processes, in which humans take part, on the prospects and directions of the development of civilization. The focus is on one of the most important problems – the negative impact of humans on the environment – the current situation and potential threats. The authors attempted to address the specific consequences of climate change from the standpoint of the existing international legal regulation, from the 1992 Framework Convention to the 2016 Paris Agreement, while highlighting the economic and political dilemmas faced by the international community, as well as various scenarios of development for different regions of the world. Naturally, the positions of the two antagonistic world powers, the Russian Federation and the United States of America, are discussed, as well as the conflict of interests of the international community as a whole and individual states. The authors also discuss a rather sensitive matter of protection of individual rights of people, mentioning certain achievements in this area due to the functioning of international human rights mechanisms, both of quasi-judicial and judicial nature. As a conclusion for the commentary, the authors formulated the consequences to which this trend can lead, considering both the economic, social and political aspects. 07 30 2019 4667 4672 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3427.078219 https://www.ijrte.org/portfolio-item/B3427078219/ Department of Mechanical Engineering, Diponegoro University, Semarang, Indonesia. Gilang Prasetyo Utomo M. Munadi Department of Mechanical Engineering, Diponegoro University, Semarang, Indonesia. Mohammad Tauviqirrahman Department of Mechanical Engineering, Diponegoro University, Semarang, Indonesia. Broiler poultry is one of the many jobs carried out by the Indonesian people. The industrial revolution changes many aspects of broiler poultry, especially technology developments that made work easier. One of them is broiler poultry using a closed- house system. This system has several advantages, including temperature and humidity that can be adjusted to the broilers. Conventional feeding systems are also a problem. Therefore, in this study, a broiler feeding system was designed for a closed-house system. The development of an automatic chicken feeding machine can be very useful to the growth of the farming industry, this automatic broiler feeding system has three main components, feed hopper which works as chicken feed storage, screw conveying screw conveyor is useful for transfer of feed material from feed and motor drive systems for drive the screw conveyor. Based on the results of analysis and testing, the automatic feeding system can function properly and can distribute the feed properly. The AC motor has a power of 0.75 HP. The V-pulley is used for power transmission with a size of 2 inches and 8 inches. And the shaft that is connected to the spiral auger has a diameter of 20 mm to support the shaft force of the conveyor screw. 07 30 2019 4842 4846 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3453.078219 https://www.ijrte.org/portfolio-item/B3453078219/