-3dc97f3d182b6b0ed3d-5b53 20220921034444510 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 Computer Science, NMAM Institute of Technology, Karnataka, India. Ranjan Kumar H S Dr. Ganesh Aithal Dean (Research), Mangalore Institute of Technology and Engineering, Moodbidri, Karnataka, India. Dr. Surendra Shetty Professor and Head, NMAM Institute of Technology, Karnataka, India. The most appropriate communication mechanism for transfer of packets from one source to another is multicast IPv6 communication. Nowadays, multicast communication plays a major role in a large number of communication applications. In this multicast communication, the message privacy attains a highest position. The members of multicast are dynamic so they permit the host members to enter and depart the cluster without the permission of remaining group members and, it can't provide any transfer without the interference of host, this may reduce the performance. For security enhancement in multicast communication Group Key Management (GKM) was introduced. There are three different approaches in GKM and they were mainly involved to overcome the issues of host mobility in multicast communication. The challenges that are encountered by these GKM approaches their requirements and challenges was also discussed in this paper. Finally, some questions and their explanations were provided along with it. These GKM approaches will improve the privacy of multicast communication. So, the packets can deliver to the group members without any interference. 07 30 2019 2317 2328 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2707.078219 https://www.ijrte.org/portfolio-item/B2707078219/ Mechanical Engineering, Sathyabama Institute of Science and Technology, Chennai, India. Dr.M. Sangeetha Dr.S. Prakash Mechanical Engineering, Sathyabama Institute of Science and Technology, Chennai, India. Dr.T.N. Valarmathi Mechanical Engineering, Sathyabama Institute of Science and Technology, Chennai, India. Dr.J.Lily Mercy Mechanical Engineering, Sathyabama Institute of Science and Technology, Chennai, India. Mr.R. Siva Mechanical Engineering, Sathyabama Institute of Science and Technology, Chennai, India This paper is mainly focused on reducing the certain amount of artificial fiber with green fiber or natural fiber. The replacement of particular amount of synthetic fiber, reduce the cost and made the product economical. By doing so the composite become user friendly. In this experiment, using hand- lay-process, a hybrid polymer matrix is fabricated by replacing some percentage of carbon with banana fiber. The prepared specimen is subjected to mechanical testing. The fabricated work piece resulted in better mechanical properties such as improved tensile strength, hardness, flexural strength and impact strength. This hybrid composite has applications in automobile parts like break lining, leaf springs, etc. 07 30 2019 2312 2316 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2705.078219 https://www.ijrte.org/portfolio-item/B2705078219/ Professor, Department of Mechanical Engineering,CMR Institute of Technology, Hyderabad. Dr.S.Sathees Kumar This paper focus on Madar and Bauhinia Racemosa fibers has high potential as reinforcing agents in polymer composites. The composites plates were fabricated by hand layup method with varying the fiber weight percentage of 5%,10%,15% and 20% on mechanical and water absorption properties are analyzed. The mechanical properties of such as tensile, flexural and impact properties of madar and Bauhinia Racemosa fiber mat reinforced polyester composites were studied at first time in this work. The tensile, flexural and impact strength of Bauhinia Racemosa fiber mat reinforced polyester composites had proved higher strength performance than the madar fiber mat reinforced polyester composites. 07 30 2019 2338 2342 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2815.078219 https://www.ijrte.org/portfolio-item/B2815078219/ Research Scholar, Department Of Management Studies, Bharath University, Chennai, Tamilnadu, India. Ramila Devi Ram Sing Dr.S. Vadivelu Visiting Professor, Department Of Management Studies, Bharath University, Chennai, Tamilnadu, India. Technology has been developing instantaneously since the beginning of the 19th century from the inventions of light bulb by Thomas Edison to the space shuttle by NASA (National Aeronautics and Space Administration). Technology contributes to the GDP growth, transforms work force, enhances business innovation and creates jobs. Rapid development of technology has created many newer industries and professions for instance, Facebook created worldwide 182,000 jobs (World Economic Forum, 2016) and it is expected information technology sector will grow by 22 percent by 2020 (World Economic Forum, 2013). Nevertheless, technology is creating many employments; it is also replacing many other jobs with technological breakthrough (Arntz,Gregory &Zierahn, 2016). The study of this paper is to identify the technology challenges and its implication to the future job market, economy as well as human resources practices. The paper also suggests means of addressing the areas and recommendations for future research in this area. 07 30 2019 3676 3681 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2816.078219 https://www.ijrte.org/portfolio-item/B2816078219/ professor in faculty of computer science and mathematics, university of Kufa. Iraq Adil AL-Rammahi Hind Shaban professor in faculty of computer science and mathematics, university of Kufa. Iraq This paper was concerned to study the standard features of the personal signature image. Independent features such as the area, height ,width, maximum vertical, maximum horizontal , and fractal dimension were taken to isomorphic of the original image . for more efficiently of this work the degree of complexity of image was studied and introduced as extra property of signature. Proposed algorithm was introduced for calculating the features of signature image. Many test image were taken for test this algorithm The executive appears that this algorithm is very sensitive and accurate when we have different and similar signature images. In this paper a method of verifying signatures using a technique of neural network is presented. static of various and dynamic of signature features are added in this model. Our proposal algorithm enhanced via neural network and Elman network. In our modified our method, many parameters of detection of digital images were added. These image parameters named as Width, Area, Maximum Vertical Projection, and Fractal Dimension. Fractal dimension is considered as the degree of complexity of the shape. Fractal dimension calculated the condensation of complexity of pure points of the shape without its boundaries. The dimension of the signature is varying between 1.0025 to 1.0584. Originally the signature is belonging to R2-Space (with dimension 2). The signature is considered as one of to the fractal shape. The fractal dimension is calculated by the Theorem of Boxes Squares Counting. The fractal signature dimension added an accuracy to our method for detection many signature shapes by the number of similarities in certain properties. 07 30 2019 5125 5129 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2817.078219 https://www.ijrte.org/portfolio-item/B2817078219/ student of ME in Department of Electronics and Telecommunication, Shri G. S. Institute of Technology and Science, Indore India Himani Lodwal Dr. Anjulata Yadav Associate Professor in Shri G.S. Institute Of Technology and Sc. Indore (MP), India. Manish Panchal Associate Professor in the Department of Electronics and Telecommunication Engineering of the Shri G S Institute of Technology and Science (SGSITS) Indore India LTE is the abbreviation of Long Term Evolution. LTE networks are developed to provide enhanced Quality of Service (QoS), as today’s cellular world and its high speed multimedia applications demand variety of QoS along with a high speed data rate. Scheduling is a key feature of any network to achieve QoS requirements. The QoS widely depends on the distance of user from the Evolved- Node-B (eNB). The user near eNB experience good QoS and the user far away from eNB experiences poor QoS. The system performance is widely affected due to this. Hence, the ultimate and supreme goal of this research work is to enhance the QoS of the cell edge user and improve network performance. Proposed scheduling algorithm i.e. Improved Extended Modified Largest Weighted Delay First (IE-MLWDF) improves the cell edge throughput along with QoS of the cell - edge users. The paper compares IE-MLWDF with its previous versions namely Modified Largest Weighted Delay First (MLWDF) and Extended - MLWDF in terms of various network parameters. This paper presents a detailed analysis of a scheduling algorithm to enhance QoS of cell edge users to provide better network goals. This algorithm can further be extended or improved to make it more effective. 07 30 2019 2589 2594 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2818.078219 https://www.ijrte.org/portfolio-item/B2818078219/ Research Scholar, Sathyabama Institute of Science and Technology, Chennai, Tamilnadu Vimal S Dr. S. K. Srivatsa Retired Professor, MIT, Chennai, Tamilnadu The present system fails to utilize the trust in the social network which is based on Peer to Peer (P2P) file sharing systems. To overcome this issue, a trust management system named “Social Link” is used to utilize the social network and predefined transaction links. The Social Link manages the novel weighted transactions and networks. The link is constructed using the historical file transaction. Two friends can share their files and increased trust can be guaranteed with the help of Social Link. The Networkof Weighted Transaction (NWT) can be calculating the successful transaction and it finds trust over the client on server. By this process, Social Link will reduce transaction misbehaving, avoids free riding and promotes nodes to transact data files to non friends. Whitewashing and collision can also be rectified using Social Links. 07 30 2019 2343 2346 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2820.078219 https://www.ijrte.org/portfolio-item/B2820078219/ Emperor Alexander I Saint Petersburg State Transport University, Russia Tatyana Yuryevna Ksenofontova Roman Valentinovich Smirnov Saint Petersburg State University of Economics, Russia Olga Vasilyevna Kadyrova Saint Petersburg State University of Economics, Russia Tatyana Nikolaevna Kosheleva Saint Petersburg University of Management Technologies and Economics, Saint Petersburg State University of Civil Aviation, Russia Oleg Viktorovich Burgonov Saint Petersburg University of Management Technologies and Economics, Russia Nadezhda Anatolyevna Kudrova Saint Petersburg Branch of the Russian Customs Academy named after V.B. Bobkov, Russia Various methodologies exist in the national and international practice for a more or less correct assessment of the competitiveness of individual regions in terms of innovation development. The present paper considers the inefficient government performance in shaping a favourable innovation climate and proposes a developed mechanism for forming the implementation stages of a Russian regional development strategy based on the findings of regional innovation development assessment. 07 30 2019 2302 2305 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2821.078219 https://www.ijrte.org/portfolio-item/B2821078219/ Assistant Professor, Department of Computer Science, Manonmaniam Sundaranar University Constituent College of Arts and Scienece, Kadayanallur, Tirunelveli Dist, Tamilnadi, India Jean Effil N Rajeswari R Associate Professor, Department of Computer Applications, Bharathisr University, Coimbatore, Tamilnadu, India Smartphone plays a major role in contributing towards preventive health care services, as they enable users to track by themselves, their diet and fitness regime. Monitoring vital signs particularly, heart rate regularly helps in early detection of heart related ailments. Given the present context, a smartphone is readily available with most of the population; hence it is much easy to monitor heart rate using the same. In this paper, a smartphone based application is presented which calculates the heart rate from the photoplethysmography (PPG) signals obtained from the fingertip images captured through the camera. Heart rate is calculated by counting the peaks that occur in the PPG signals in a particular duration. In order to detect the peaks, a peak detection algorithm proposed in [1] is used, as the algorithm helps in detecting peaks accurately without any pre-processing. The proposed technique is very simple as it calculates heart rate directly from time series PPG data without the need of converting to frequency domain data and can be employed in any smartphone to measure heart rate. In order to validate the proposed method, experiment was performed to calculate the heart rate of forty nine individuals and the obtained results were compared with heart rate readings measured using digital blood pressure (BP) monitor for those individuals. The heart rate obtained from proposed method is close to one that is obtained from digital blood pressure monitor with three percent discrepancy. 07 30 2019 3131 3137 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2823.078219 https://www.ijrte.org/portfolio-item/B2823078219/ M.Phil Scholar, Dept of Computer Science, School of Computing Sciences, VISTAS, Pallavaram, Chennai, India P. Poornima Dr.M.S. Nidhya Assistant Professor, Department of Computer Science, School of Computing Sciences, Vels Institute of Science, Technology and Advanced Studies (VISTAS), Chennai, India, Dr.R. Jayakarthik Associate Professor , Department of Computer Science, School of Computing Sciences, Vels Institute of Science, Technology and Advanced Studies (VISTAS), Chennai, India The wireless networks are made up of numerous numbers of wireless stations. The communication between these wireless stations requires traveling multiple hops to exchange information. The Wireless mobile network plays important roles in various sensing applications. This research paper planned to develop real time, trivial clarification method for transmitting in a wireless mobile sensor network. The proposed method works grounded on the routers positions and destination address of the packets to transfer packets, whereas the existing greedy forwarding decisions methods use information about the neighbor routers in the network topology. If a particular packet or an information reaches a destination region, the greedy forwarding is not worth to recover packets, since it search the packets the small perimeter of the region. When the number of destination node increases the proposed methods works better to scales router state when compared to existing shortest-path and ad-hoc routing protocols. In real time there will be frequent changes in network topology the proposed method will use local topology information to discover the shortest paths quickly. The experimental results shows that the proposed greedy perimeter stateless routing scales method provide high reliability and scalability than other methods in the large scale networks. 07 30 2019 5130 5134 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2824.078219 https://www.ijrte.org/portfolio-item/B2824078219/ Maikop State Technological University, Maikop, Russia Yunus N. Ashinov Irina R. Tletseruk Maikop State Technological University, Maikop, Russia Tatiana A. Shcherbatova Yablonovsky Branch of Maikop State Technological University, Yablonovsky, Russia Igor V. Shcherbatov Yablonovsky Branch of Maikop State Technological University, Yablonovsky, Russia Nadezhda L. Machneva Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia Denis A. Yurin Krasnodar Research Centre for Animal Husbandry and Veterinary Medicine, Krasnodar, Russia The authors have conducted an analysis of agricultural land use in the Takhtamukaysky district by categories and types of land and ownership. The agricultural land distribution has been analyzed as well based on the types of use. The conducted analysis has revealed the following: a tendency towards a decrease in agricultural land by 1.2%; a tendency towards a slight decrease in water reserve and land occupied by bogs; a tendency towards a decrease in land owned by the state or municipal entities, peasant (farming) enterprises, citizens engaged in gardening, haymaking and cattle pasture; a tendency towards a decrease in the unused land redistribution reserve. 07 30 2019 2306 2308 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2825.078219 https://www.ijrte.org/portfolio-item/B2825078219/ Research Scholar, Department of Computer Science, Bharath University, Chennai, Tamilnadu. Baalaji. K Dr.V. Khanna Dean Info, Bharath University, Chennai, Tamilnadu. Nowadays cellular phones are profoundly increasing and present network capacity need to be increased to meet the growing demands of user equipment (UE) that has led to evolution of cellular and communication networks. Device-to-Device (D2D) communication is a usage technology that extends enormous features that can be incorporated with LTE and conssidesred as a finest technological componentespecially for the 5G network. Generally the 5G wireless networks are being introsduced to improve the present technology that meets the future demands extending efficient and reliable solutions. This Device-to-Device (D2D) communication can be established within LTE that limits to its proximity and comes with various advantages such as increase of spectral efficiency, energy efficiency, reduction of transmission delay, efficient offloaded traffic, avoiding congestion in cellular network. This paper deals D2D entities that include user behaviors, content deliveries and characteristics in big data platform that utilizes sharing large scale data accurately and effectively. Besides D2D, the proposed work builds concept of big data analytics integrated with D2D for effectively improving the content deliveries while offloading large data set.The presentwork also discussesbig data predictive analysis for the users based on D2D network services that help for further work. 07 30 2019 3000 3003 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2826.078219 https://www.ijrte.org/portfolio-item/B2826078219/ Department of Mechanical Engineering, Madhav Institute of Technology &Science, Gwalior (M.P.), India. Rahul Semil Pratesh Jaiswal Department of Mechanical Engineering, Madhav Institute of Technology &Science, Gwalior, (M.P.), India. Moving component bearing is utilized to convey radial load and axial load or both just as. REB has nonlinear conduct make issue misalignment, surface waviness, fault happen at the inward race, external race, enclosure, ball or roller, so REB has a restricted life. Our concentration to evacuate fault diagnosis of bearing at the outer race has been investigating. For this purpose, REB vibration analysis is used. This paper present a support vector machine algorithm (SVM) approach with GA (Genetic algorithm) based optimization compare the result with SVM with cross-validation (CV) method along these lines, the information is processed correctly and an exact way. Time-domain Analysis, high pass and low pass filtering etc. used for feature extraction from vibration signal. Further, these feature extraction used as input to the SVM classifier. Support vector machine, a training given projected preparing information, the procedure yield perfect hyperplane. Feature extraction help to provides the actual condition of bearing. In this work, different signal processing techniques and process are used for fault diagnosis of bearing. 07 30 2019 3242 3250 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2828.078219 https://www.ijrte.org/portfolio-item/B2828078219/ (Gulistan, Uzbekistan) Doctor of Technical Sciences, Professor, Rector of Gulistan State University. Khojiev Mukhsin Todjievich Juraev Anvar Djuraevich (Tashkent, Uzbekistan) - Doctor of Technical Sciences, Professor, Department of general technical disciplines, Tashkent Institute of Textile and Light Industry. Murodov Orif Djumaevich (Tashkent, Uzbekistan) PhD, teacher. Institute of retraining and advanced training of public education workers. Rakhimov Akbar Kholmurodovich (Termez, Uzbekistan) teacher to Termez State University The article provides an analysis of existing separators for raw cotton. Their disadvantages are described. The design scheme and the principle of operation of the separator with side grids of the air duct with curved conical holes are presented. The results of theoretical studies to determine the strength of Stripping and justification of the system parameters. The results of comparative production tests of the recommended separator design for fibrous materials are presented. 07 30 2019 5806 5811 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2835.078219 https://www.ijrte.org/portfolio-item/B2835078219/ Electric Power and Machines Dept. Ain Shams University, Cairo, Egypt. Ahmed R. Abul'Wafa Bahaa S. Mahmoud Electric Power and Machines Dept. El’Shorouk Academy, Cairo, Egypt. Aboul'Fotouh A. Mohamed Electric Power and Machines Dept. El’Shorouk Academy, Cairo, Egypt. Microgrids are consisting of interconnected loads and distributed generators which can operate with and without utility. The significant implementation of microgrids challenged the protection engineers especially in designing protection microgrid schemes. This challenge comes from the bi-directional fault current variation and the dynamic behavior of microgrids. The implementation of artificial intelligent (AI) techniques for coordinating the directional overcurrent relays (DOCRs) in Microgrids (MGs) is a promising solution. However, all the (AI) techniques estimate the solutions and achieve the objective function after an extensive number of iterations. This paperwork proposes an analytical method for solving the coordination of (DOC) relays in meshed Microgrids which operates in grid connected mode. The proposed analytical method needs a lesser simulation time than the (AI)techniques to find the proper settings for the coordinated directional overcurrent relays (DOCRs). A file code is written using MATLAB software to implement and test this methodology. 07 30 2019 3004 3011 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2836.078219 https://www.ijrte.org/portfolio-item/B2836078219/ Information Systems Department, School of Information Systems, Bina Nusantara University, Jakarta, Indonesia Diyurman Gea Harjanto Prabowo Information Systems Department, School of Information Systems, Bina Nusantara University, Jakarta, Indonesia Raymond Kosala Computer Science Department, School of Information Systems, Bina Nusantara University, Jakarta, Indonesia Sutoto Director of Indonesian Commission for Accreditation of Hospitals, Jakarta, Indonesia In recent years, information technology has become a part of the power to engage in business activities. However, no studies have tested the effects of the adoption of information technology on the performance of surveyors in performing their duties at the Indonesian Commission for Accreditation of Hospitals (KARS). The purpose of research is to test empirically the external factors that influence the adoption of applications for increased surveyors’ works performance as an assessor of hospitals in Indonesia. External factors studied were: (1) the support of top management, (2) self-efficacy, (3) the quality of the system, and (4) training. Technology Acceptance Model (TAM) is the best way to evaluate the factors that influence the decision of the assessor and the hospital professionals on the acceptance of a system. Through the distribution of questionnaires were processed using SmartPLS, proving that the four external factors studied had a significant influence on the acceptance of information technology. Based on observations also prove that through the use of Information System of Indonesian Commission for Accreditation of Hospitals or SIKARS application, assessor performance is more effective and efficient. So that, through the data and information provided on the application can support all stakeholders in decision-making. SIKARS as national accreditation database can be used as a reference for service quality improvement in Indonesian hospitals. 07 30 2019 3466 3470 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2840.078219 https://www.ijrte.org/portfolio-item/B2840078219/ Department of Mechanical Engineering, Delhi Technological University, Delhi, India. Aditya Natu Anuj Badhwar Department of Applied Mathematics, Delhi Technological University, Delhi, India. Vipul Garg Department of Mechanical Engineering, Delhi Technological University, Delhi, India. Upasana Biswas Department of Electrical Engineering, Delhi Technological University, Delhi, India. Deepanshu Bansal Department of Electrical Engineering, Delhi Technological University, Delhi, India. Aakash Kumar Department of Mechanical Engineering, Delhi Technological University, Delhi, India. Arya is an autonomous underwater vehicle (AUV) modeled and developed by team DTU-AUV comprising of undergraduate students from multidisciplinary backgrounds of Delhi Technological University (DTU), India, to participate in an IEEE backed Singapore AUV Challenge (SAUVC). This paper entails the rationale and methodology employed to design and integrate various systems onboard. Significant improvisations have been made in the structural design of the vehicle to enhance its hydrodynamic stability and maneuverability to perform discrete tasks in comparison to the previous vehicles developed by the team. The focus is laid on the embedded and power system to enhance reliability, modularity, and power distribution. The software stack is designed to run in decentralized multi-threaded agent architecture, with the threads handling pressure sensor, cameras, control system, IMU, mission planner each performing input and output operations in continuous loops. PID control algorithms achieve the desired dynamic control. The vision system is devised to monitor the marine environment and detect underwater contoured objects. 07 30 2019 5505 5510 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2843.078219 https://www.ijrte.org/portfolio-item/B2843078219/ Research Scholar, Department of ECE, Jawaharlal Nehru Technological University Ananthapuramu, India. M. Jasmine Prof.P. Satyanarayana Professor, Department of ECE, Sri Padmavati Mahila Visvavidyalayam, Tirupati, India. Prof.M.N.Giri Prasad Professor, Department of ECE, Jawaharlal Nehru Technological University Ananthapuramu, India The process of segmentation in MRI pictures is turning into a significant assignment to be considered in clinical oncology applications, in view of the noise and blur that is available normally in MRI images. To minimize this natural disadvantages in the MRI images an imaging tool called belief theory is taken as the base alongside the proposed evidential clustering algorithm (ECM-MS) .This proposed technique joins the adaptive distance metric in so as to limit the clustering distortions and the comparability that happen between the voxels. The local homogeneity is measured by the spatial regularization dependent on the belief theory called Dempster Shafer Theory (DST). To get definite division the surface highlights are extricated from the data picture and is incorporated with the force of the voxels in the proposed strategy, thusly giving a decent presentation contrasted with different strategies. 07 30 2019 3682 3684 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2844.078219 https://www.ijrte.org/portfolio-item/B2844078219/ PhD Research Scholar, Law College Dehradun, Uttaranchal University, Dehradun, Uttarakhand. Siddharth Thapliyal Dr. Poonam Rawat Professor & HoD in Law College Dehradun, Uttaranchal University. Article 310 of the Indian Constitution provides that civil and defense servants in the country hold the office during the pleasure of the Governor and the President respectively. This law, which finds its origin in England, is present in all common law countries, and in India, is known as the Doctrine of Pleasure. The aim of this study is to create a comparison of the Doctrine of Pleasure in six common law countries, specifically India, USA, Australia, UK, Canada. Secondary data in the form of existing studies, books, and government websites were used for the purpose. The findings of the study indicate that when it comes to protection of civil servants, all the chosen countries are inclined towards the same objectives such as equalization of opportunities, fair treatment and even the power to file a case against the “Crown” with the exception of UK. The fundamental rights of public service employees are safeguarded with the help of these laws. 07 30 2019 3949 3953 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2846.078219 https://www.ijrte.org/portfolio-item/B2846078219/ IT department, CBIT, Hyderabad, India. Dr Lakshmi Sreenivasa Reddy D M. Rajini Computer Science, Stanley Degree and PG College for Women, Hyderabad, India. Clustering is one of the essential techniques to group similar data. Improving model accuracy is still a challenge for all variety of data. Training and testing a classifier on entire data is not possible for large scale of data. Sampling of the data is necessary for any modeling and is an important aspect in data mining. All models train and test on different samples taken by traditional techniques like random forest ensemble method. In this paper, we propose cluster sampling which is superior to any other sampling methods in improving classifier accuracy. Sampling the data from usual methods cannot cover all variety of data from the original. Cluster sampling is a two-step approach. First it clusters the entire data, second it selects samples from each cluster. These samples consists all verity of data with equal proportion. Cluster sampling leverages the tree based ensemble to handle categorical, numerical and mixed type of data. Classifiers modeled on cluster sampling samples shown superior in accuracy than modeled on other sampling techniques. 07 30 2019 3685 3692 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2848.078219 https://www.ijrte.org/portfolio-item/B2848078219/ Department of ECE, Vardhaman College of Engineering, Hyderabad, Telangana, India. D. Praveen Kumar M. Sushanth Babu Department of ECE, Matrusri Engineering College, Hyderabad, Telangana, India. P. Pardha Saradhi Dept. of ECE, KLEF, AP, India. M. Gopi Krishna Department of ECE, Vardhaman College of Engineering, Hyderabad, Telangana, India. High frequency (HF) radio system now-a-days used to establish the communication in an area which is isolated from the outside world due to natural calamities. Conventional HF systems are associated with analog voice communication systems; is now shifted to digital voice communication to meet the demands as expected for high data rates for transmission. Cooperative communication is different from conventional relay-assisted HF systems and aims to support the challenging expectation of future generation HF communication systems. Recent days distributed coding is a variety of channel coding developed in a distributed manner for cooperative wireless networks. In this paper we present an overview of various distributed coding design in OFDM based cooperative HF radio communication system. 07 30 2019 3138 3142 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2849.078219 https://www.ijrte.org/portfolio-item/B2849078219/ Department of Civil Engineering, ABES Engineering College, Ghaziabad, India. Uzair Khan Rizwan A Khan Department of Civil Engineering, Z. H. College Engg. & Tech., Aligarh Muslim University, Aligarh, India. Naveen Kumar Pandey Department of Civil Engineering, ABES Engineering College, Ghaziabad, India. Ayush Tyagi Department of Civil Engineering, ABES Engineering College, Ghaziabad, India. Evidences as well as outcomes proved that the progress of self-consolidating concrete is comprehensive benchmark in the construction area. Due to its highly beneficial characteristics, self-consolidating concrete is eminently preferred and widely used all around the Globe. Self-consolidating concrete is that inventive concrete which does not need any assistance of vibration by any means in order for its placement and compaction. Its ability to flow under its self-weight allows complete filling formwork. Hence, successful results to attain full compaction, even in the existence of clogged reinforcement. Intension of this research paper is to put light on the fresh properties of hybrid fibre reinforced self-consolidating concrete (HFRSCC)such as T50cm, L-box, spread flow, V-funnel and properties of hardened like compressive strength, flexural strength and ultra-sonic pulse velocity at the period of 7 and 28 days. The properties of hardened HFRSCC is greatly improved by the process of addition of fibres. 07 30 2019 3356 3361 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2850.078219 https://www.ijrte.org/portfolio-item/B2850078219/ Assistant Professor, SCSE, VIT University, Chennai, India. Rajiv Vincent V Vijayakumar Professor, SCSE, VIT University, Chennai, India. Autism Spectrum Disorder (ASD) is a neurodevelopment condition that influences substantial children and adults. Currently the identification of this disorder is carried out by specialists who follow regular questionnaires and lookout for definite behavioral indications over physical monitoring. These approaches for the identification are not only particular, but hard to reiteration, expensive and also tremendously time taking. This paper talks about a procedure to support the likelihoods of the existence of ASD in children by automated optical and pulse analysis. This paper focuses on the differentiating abilities of the autistic kids, especially with colours. We investigate the colour perception and cognition of kids with ASD who have preference to certain colours. In comparison with the former approaches, our methodology is ideal to predict ASD in children by using the infrared and pulse rate sensor which helps to analyze the colours that they are not comfortable with. The design we have modelled is envisioned for investigation and treatment of autism and tests included contributors with this condition. 07 30 2019 3362 3365 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2852.078219 https://www.ijrte.org/portfolio-item/B2852078219/ Computer Engineering Department, College of Engineering/ Bulacan State University City of Malolos Bulacan, Philippines Monaliza S. Jimenez Bricks are widely considered as one of the longest-lasting and strongest building material. Recently it is also used as aesthetic items that are commonly used on gardens and garages. On the other hand, cow manure has given a decent amount of attention in the recent times due to the various applications that may be utilized for the society. This research is a microcontroller-based machine which focuses on cow manure to garage tile conversion to provide an alternative process in the creation of said tiles. It is an applied research designed to utilize electronic and mechanical processes to manipulate the given input to a specific end product. The device’s design starts with two receptacles which are connected to separate grinder, which then inputted materials will be weighted onto a load cell. This in turn will pass through a mixer, which also accepts fluid input from three separate fluid reservoirs filled with differently colored fluids. The mixture then finally comes to a chosen designated molder. The entire process will be controlled by the user through LCD screen to display user options. After the process the device will output a designed and colored garage tile. This device was developed in the hopes of finding an alternative material other than clay and soil from making garden tiles and also in automating and further improving the time for manufacture. The speed of mixing and molding cow manure as well as the compressive strength of the produced tiles were considered and passed under the set standard. The evaluation results based on functionality, reliability, usability, efficiency and maintainability of the Automated Cow Manure Tiles Maker was 3.48 which signify a neutral acceptance of the respondents. 07 30 2019 2702 2706 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2855.078219 https://www.ijrte.org/portfolio-item/B2855078219/ Research Scholar, Department of Computer Science and Engineering, Noorul Islam Centre for Higher Education, Kanyakumari district, India. Beshiba Wilson Dr.Julia Punitha Malar Dhas Professor and Head, Department of Computer Science and Engineering, Noorul Islam Centre for Higher Education, Kanyakumari district, India. Magnetic Resonance Images (MRI) are usually prone to noise like Rician and Gaussian noise. It is very difficult to perform image processing functions with the presence of noise. The objective of our work is to investigate the best method for denoising the MRI images. This study included 25 MRI subjects selected from the Open Access Series of Imaging Studies (OASIS) - 3 database. The 25 brain image subjects includes cases of both men and women aged 60 to 80. The input RGB image is first converted to gray scale image in which the contrast, sharpness, shadow and structure of the color of image are preserved. The proposed work uses an improved Gaussian smoothing technique for denoising Magnetic Resonance Images by constructing a modified mask for Gaussian smoothing. The performance of the proposed technique has been compared with various filters like median filter, Gaussian filter and Gabor filter. The performance evaluation was carried out by metrics like Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE) and Structural Similarity (SSIM) index. The experimental results show that the Improved Gaussian Smoothing Technique (IGST) performs better than other methods. All experiments were conducted using Scikit Learn version 0.20 and Scikit Image version 0.14.1 under Python version 3.6.7. 07 30 2019 3693 3696 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2859.078219 https://www.ijrte.org/portfolio-item/B2859078219/ Assistant Professor, Department of Civil Engineering, Centurion University of Technology & Management, Bhubaneswar, (Oddisha), India. Mr. Sudheer Choudari Dr.P.S.V. Ramanarao Professor, Department of Mechanical Engineering, Centurion University of Technology & Management. Bhubaneswar, (Oddisha), India. Mr. K.Madhava Rao Associate Professor, Department of Electrical Engineering, Centurion University of Technology & Management, Bhubaneswar, (Oddisha), India. For every developing country, Electrical system plays a crucial role not only in developing the Nation’s economy but also in survival of human beings. The present study deals with a typical 3 Dimensional 220 kV double circuit transmission-line tower is modelled using Sap 2000. The loading conditions considered are normal, earthwire broken and conductor broken conditions. The wind zones I and V are considered since wind zone I has the lowest wind speed 33m/s and for wind zone V having wind speed 50 m /s (Visakhapatnam). All the other parameters like steel sections, height of tower and base width of tower is kept constant for studying the results after the analysis is done. After analysis of tower corresponding wind zones, the results are compared for maximum axial positive and negative deflections, reactions at the supports, different mode shapes and time period, modal mass participation factors, modal participation factors for modal stiffness and frequencies, Eigen value. 07 30 2019 3266 3271 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2861.078219 https://www.ijrte.org/portfolio-item/B2861078219/ Department of Graduate Studies, Technological Institute of the Philippines, Quezon City, Philippines. Marwin B. Alejo Cris Paulo G. Hate Department of Graduate Studies, Technological Institute of the Philippines, Quezon City, Philippines. Limited ear dataset yields to the adaption of domain adaptive deep learning or transfer learning in the development of ear biometric recognition. Ear recognition is a variation of biometrics that is becoming popular in various areas of research due to the advantages of ears towards human identity recognition. In this paper, handpicked CNN architectures: AlexNet, GoogLeNet, Inception-v3, Inception-ResNet-v2, ResNet-18, ResNet-50, SqueezeNet, ShuffleNet, and MobileNet-v2 are explored and compared for use in an unconstrained ear biometric recognition. 250 unconstrained ear images are collected and acquired from the web through web crawlers and are preprocessed with basic image processing methods including the use of contrast limited adaptive histogram equalization for ear image quality improvement. Each CNN architecture is analyzed structurally and are fine-tuned to satisfy the requirements of ear recognition. Earlier layers of CNN architectures are used as feature extractors. Last 2-3 layers of each CNN architectures are fine-tuned thus, are replaced with layers of the same kind for ear recognition models to classify 10 classes of ears instead of 1000. 80 percent of acquired unconstrained ear images is used for training and the remaining 20 percent is reserved for testing and validation. Results of each architectures are compared in terms of their training time, training and validation outputs as such learned features and losses, and test results in terms of above-95% accuracy confidence. Above all the used architectures, ResNet, AlexNet, and GoogleNet achieved an accuracy confidence of 97-100% and is best for use in unconstrained ear biometric recognition while ShuffleNet, despite of achieving approximately 90%, shows promising result for use in mobile version of unconstrained ear biometric recognition. 07 30 2019 3143 3150 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2865.078219 https://www.ijrte.org/portfolio-item/B2865078219/ UG Scholars, Renewable Energy Conversion lab, Department of EEE, SSN College of Engineering, Chennai, India. Aishwarya. V Kaviya. R UG Scholars, Renewable Energy Conversion lab, Department of EEE, SSN College of Engineering, Chennai, India. Kavitha. C UG Scholars, Renewable Energy Conversion lab, Department of EEE, SSN College of Engineering, Chennai, India Dr. R. Seyezhai Associate Professor, Renewable Energy Conversion lab, Department of EEE, SSN College of Engineering,Chennai, India. In the modern era, the electronic equipments are widely used and it is required to maintain the supply current harmonics within the standards specified by IEC. Efforts are taken to get better power factor of these supplies using Bridgeless Interleaved Boost Converter (IBC) topology. The efficiency and the power factor of the bridgeless converter is improved in contrast to the conventional PFC as the bridged structure is eliminated. Main objective of the paper is to propose a novel Zero Voltage Switched Bridgeless IBC. This bridgeless configuration is investigated by analyzing the attributes such as output power, mark-space ratio, source voltage, input current with each other. With zero-voltage switching, the voltage regulator can engage in soft switching, which helps to minimize switching losses and electromagnetic interference. This paper also compares performance parameters such as power factor, efficiency, THD and ripple with and without ZVS in a bridgeless IBC circuit. The results show that there is a considerable ripple reduction and power factor improvement with increase in efficiency on incorporating soft switching. Replication of the projected circuit is executed in simulation and the outputs are verified using hardware implementation. 07 30 2019 3930 3935 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2866.078219 https://www.ijrte.org/portfolio-item/B2866078219/ ECE , GMR Institute of Technology, GMR Nagar, Rajam, AP, India. B. Kiran Kumar B. Anil Kumar ECE , GMR Institute of Technology, GMR Nagar Rajam, AP, India. The Microprocessor with no Interlocked Pipeline Stages (MIPS) is Reduced Instruction Set Computation (RISC) based architecture. The RISC is composed of a smallest set of instructions for increasing the speed processor. In this work, functional verification and physical design of the 32-bit 5-stage pipelined MIPS processor is proposed to be done. Here, the physical design is aimed to improve the area, power and speed performance of the design. Cadence SOC encounter is proposed to use for the physical design of the MIPS architecture. Also, this work explores the complete the ASIC flow from RTL to GDSII for MIPS processor using TSMC (Taiwan semiconductor Manufacture Company) 90nm technology. Finally, performance of the proposed implementation will be compared with the existing implementations. 07 30 2019 3151 3154 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2867.078219 https://www.ijrte.org/portfolio-item/B2867078219/ Assistant Professor, Computer Science and Engineering Department, Shri Ramdeobaba College of Engineering and Management, Nagpur, India. Kavita Kalambe Sunita Rawat Assistant Professor, Computer Science and Engineering Department, Shri Ramdeobaba College of Engineering and Management, Nagpur, India. Nilesh Korde Assistant Professor, Computer Science and Engineering Department, Shri Ramdeobaba College of Engineering and Management, Nagpur, India. Gaurav Kawade Assistant Professor, Computer Science and Engineering Department, Shri Ramdeobaba College of Engineering and Management, Nagpur, India. Cache memory management has recently become one of the most crucial research topics in the area of high performance computing. The cache memory has gained popularity due to its capability to offer faster access compared to main memory so processor can access data directly through cache very efficiently. As processor execution speed is faster than accessing memory so the goal is to keep programs rapidly accessible for processing. Cache memory helps not only to access data quickly but also improves the performance of the system. Various cache management policies have been developed to improve the performance of the system. In this paper we focus the issues related with the existing replacement policies and present a new algorithm to overcome these issues. In this paper, we proposed Integrated Cache Scheduling Replacement Algorithm (ICSRA) that will remove the object on the basis of integration of all the parameters like size, frequency and recency if the cache is full. This algorithm consider all size of object to replace with the condition of frequency and timestamp parameter to reduce the cache pollution [1]. Cache pollution means the cache unnecessary waste its space by holding such an object which is no longer be accessed. ICSRA helps to enhance the utilization of cache memory in an efficient manner as well as maximize the cache hit ratio to improve the performance of the system. A detailed classification has also been included based on different parameters which are depending on the analysis of the existing techniques. 07 30 2019 3471 3475 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2868.078219 https://www.ijrte.org/portfolio-item/B2868078219/ Associate Professor, Department of Mechanical Engineering, Holy Mary Institute of Technology & Science, Bogaram, Keesara, Medchal Dist., Hyderabad - 501301, Telangana State, India. M.G. Suresh Dr. R. Suresh Professor & Co-ordinator, Bio-fuel Information and Demonstration Centre, Dept.of Mech. Engg., Siddaganga Institute of Technology, B.H.Road, Tumkur- 572103, Karnataka State, India. The objective of this Research work is to evaluate & analyze the flexural properties of developed composite specimen with polyurethane foam as matrix material & jute fiber as Reinforcement material. The first research experimentation shall be the flexural test is done as per the ASTM D 7264 standard to investigate the flexural properties of this combination of composite materials The main aim of this experimentation tests done are to investigate mechanical properties & strengths of newly developed jute reinforced composites to resist against the subjected tensile & bending loads under various conditions. 07 30 2019 3954 3959 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2870.078219 https://www.ijrte.org/portfolio-item/B2870078219/ Electronics & Communication, LPU, Phagwara Punjab India. Dr. Praveen Kumar Malik Dr. Madam Singh Department of physics and electronics, National university of Lesotho, Southern Africa We have presented a design of multi-band micro strip antenna which is suitable for operating at a higher frequency and with moderate bandwidth also. Proper selection of dimension, patch, and position of feed is taken into consideration to achieve the target properties of the antenna. Different characteristics of antenna like return loss, VSWR, gain, directivity, and efficiency are verified for different frequencies. The maximum gain of the antenna is found to be more than 3dB at different frequencies and also achieves multiple bandwidths in the direction of max radiation. The proposed structure of the antenna is fabricated, simulated, and tested for obtaining the preferred performance in terms of S11, VSWR, gain and efficiency. The experimental results are verified with simulated results which are in good in accord. Proposed antenna bandwidth is found to be 200MHz to 700 MHz with frequency band from 5.70 GHz to 12.60 GHz. 07 30 2019 5135 5138 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2871.078219 https://www.ijrte.org/portfolio-item/B2871078219/ Computer Science and Engineering, Department, Maharashtra Institute of Technology, Aurangabad, MH, India. Kavita Bhosle Dr. Vijaya Musande Computer Science and Engineering Department, MGM’s Jawaharlal Nehru Engineering College, Aurangabad, MH, India. In this paper, we have done exploratory experiments using deep learning convolutional neural network framework to classify crops into cotton, sugarcane and mulberry. In this contribution we have used Earth Observing-1 hyperion hyperspectral remote sensing data as the input. Structured data has been extracted from hyperspectral data using a remote sensing tool. An analytical assessment shows that convolutional neural network (CNN) gives more accuracy over classical support vector machine (SVM) and random forest methods. It has been observed that accuracy of SVM is 75 %, accuracy of random forest classification is 78 % and accuracy of CNN using Adam optimizer is 99.3 % and loss is 2.74 %. CNN using RMSProp also gives the same accuracy 99.3 % and the loss is 4.43 %. This identified crop information will be used for finding crop production and for deciding market strategies. 07 30 2019 3960 3963 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2872.078219 https://www.ijrte.org/portfolio-item/B2872078219/ Professor in the Department of Computer Science at MohanlalSukhadiya University, Udaipur, India. Manoj Kumar Jain Neha Jain Research Scholar in Department of Computer Science at Mohanlal Sukhadiya University, Udaipur, India. Technologies to design an embedded system can be of three types: processor technology, IC technology & design technology. Billions of computing systems are built every year for a variety of purpose. They are built within larger electronic devices. These systems perform a one particular function on regular basis. These systems do not recognized by the device’s user. These systems are known as embedded system. Broad categories for system implementation are: Application Specific Integrated Circuit, Field Programmable Gate Array, Co-Processor, Application Specific Instruction Processor and General Purpose Processor. From the network processor’s designing point of view, it is very important to understand the preliminary characteristics of network applications which are generally based on address lookup, pattern matching, and queuing management which is further classified as Control plane and Data Plane processing. 07 30 2019 3476 3482 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2873.078219 https://www.ijrte.org/portfolio-item/B2873078219/ Department of Architecture, Periyar Maniammai Institute of Science and Technology, Thanjavur, India. Tony Marcel Nisha Dr.P. Jayasudha Department of Architecture, Periyar Maniammai Institute of Science and Technology, Thanjavur, India. The culture of a place can be understood by analysing its architecture and vice versa. Each place has a unique culture and hence a unique architectural style. Vernacular architecture is a perfect example for displaying the culture of that place, as it is built based on the culture of that place. However, the culture of a place can be changed or altered when it comes in contact with another culture. The degree and dominance of one culture over another, purely depend on the sextent to which both the cultures have acculturated. Hence, vernacular architecture which is a reflection of culture also has a natural tendency to change and to accommodate changes and is flexible, adaptable and hence sustainable. There are many factors that lead to a cross-cultural composition like trade links, colonisation, and westernisation etc. among which colonisation plays a major role in the creation ofa new culture in the coastal stretch of India. Goa is one such perfect example where cross-cultural miscegenation is seen due to Portuguese colonisation. This paper aims in understanding and evaluating the cross-cultural amalgamation which is reflected in Indo-Portuguese houses through a study and analysis of four case examples in Goa using space syntax. 07 30 2019 3037 3045 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2876.078219 https://www.ijrte.org/portfolio-item/B2876078219/ Department of Information Technology, SSN College of Engineering, Kalavakkam-603110, India R. Rishickesh A. Shahina Department of Information Technology, SSN College of Engineering, Kalavakkam-603110, India A. Nayeemulla Khan School of Computing Science and Engineering, VIT University, Chennai-600127, India Forest fires have become one of the most frequently occurring disasters in recent years. The effects of forest fires have a lasting impact on the environment as it lead to deforestation and global warming, which is also one of its major cause of occurrence. Forest fires are dealt by collecting the satellite images of forest and if there is any emergency caused by the fires then the authorities are notified to mitigate its effects. By the time the authorities get to know about it, the fires would have already caused a lot of damage. Data mining and machine learning techniques can provide an efficient prevention approach where data associated with forests can be used for predicting the eventuality of forest fires. This paper uses the dataset present in the UCI machine learning repository which consists of physical factors and climatic conditions of the Montesinho park situated in Portugal. Various algorithms like Logistic regression, Support Vector Machine, Random forest, K-Nearest neighbors in addition to Bagging and Boosting predictors are used, both with and without Principal Component Analysis (PCA). Among the models in which PCA was applied, Logistic Regression gave the highest F-1 score of 68.26 and among the models where PCA was absent, Gradient boosting gave the highest score of 68.36. 07 30 2019 3697 3705 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2878.078219 https://www.ijrte.org/portfolio-item/B2878078219/ Assistant Professor, Department of Civil Engineering, Government College of Engineering, Dharmapuri, Tamil Nadu, India. S. Sivaprakasam K. Balaji Assistant Professor, Department of Civil Engineering , Anna University, Panruti Campus.Cuddalore District.Tamilnadu,India. Biodegradation using sequencing batch reactor is one of the best method of treating the wastewater from the diary industries. Milk and milk based products has become most essential and important role in day-to-day life of human. The raw milk undergoes various processing in dairy industries to produce other milk based products. The large quantities of water and other chemicals are required in a diary plant. The volume of water used in a diary industry varies with respect to the availability of water, processing method and type of flow. The waste water after every step of processing is discharged into either the natural water bodies or to the environment which alters the ecological balance. This research work on the laboratory scale model is used for the analysis and treatment of dairy industry wastewater. The parameters studied are the biological oxygen demand, chemical oxygen demand, dissolved oxygen, total dissolved solids, suspended solids, pH and other substances present in the diary waste water. In this study, biodegradation of dairy wastewater was investigated under a sequencing batch reactor under aerobic conditions. It is performed on three different phases with variable reaction time to study the reductions in BOD, COD and other parameters respectively. 07 30 2019 2595 2599 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2879.078219 https://www.ijrte.org/portfolio-item/B2879078219/ Department of constitutional and municipal law, Kutafin Moscow State Law University, Moscow, Russian Federation. Dmitry Kuteynikov Osman Izhaev Legal department of the Moscow city election commission, Moscow, Russian Federation. Valerian Lebedev Department of constitutional and municipal law, Kutafin Moscow State Law University, Moscow, Russian Federation. Sergey Zenin Department of constitutional and municipal law, Kutafin Moscow State Law University, Moscow, Russian Federation; Department of theory of state and law, constitutional and administrative law of South-Ural state University (National Research University), Chelyabinsk, Russian Federation. The impact of technologies, fundamental to industrial revolutions, on the development of legal approaches to the regulation of social relations changing during their widespread use, is considered in this article. It is shown that the well-known technological revolutions did not pass without leaving a trace and led to fundamental changes in public life. The economic and social factors that influenced the regulation of social relations are analyzed; the legal consequences of three technological revolutions are revealed. Theoretical and legal aspects of the formation of individual branches of legislation are studied. The thesis that the interaction between a person and the technologies (technical means) of the three industrial revolutions was limited to the unilateral mechanical use of these means according to the needs of society is proposed and substantiated. The current state of technological development suggests that the world has entered a new era. The impact on the social relations of artificial intelligence, robots, the Internet of things, advanced materials, additive production and multidimensional printing, bio- and neurotechnologies, virtual and augmented reality will only increase. These technologies will lead to new, different from all that was before, ways of human interaction with technical means. Three prospective ways of human interaction with the technologies of the fourth industrial revolution have been analyzed by the authors: coexistence (a technical tool is able to fully communicate with a person), relationships (a technical tool plays the role of an assistant in certain areas) and mergers (digital and mechanical elements are fully integrated into a biological subject). Some of the risks to society, possible with these methods of interaction, are described. The need to develop regulatory frameworks able to create conditions for the successful introduction of advanced technologies and minimize their negative consequences is justified. 07 30 2019 3964 3971 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2880.078219 https://www.ijrte.org/portfolio-item/B2880078219/ Department of Mechanical Engineering Department, Nirma University, Ahmedabad, India. Ath S Singhal Tejas Raval Department of Mechanical Engineering Department, Nirma University, Ahmedabad, India. Anand Bhatt Department of Mechanical Engineering, Nirma University, Ahmedabad, India. Shebaz Memon Department of Mechanical Engineering Department, Nirma University, Ahmedabad, India. Paddle rickshaw/tricycle is still used widely in many parts of developing countries for small distance transportation of goods and passengers. The design of the paddle rickshaw is almost same everywhere, with minor variations largely focused on the appearance. The pedal rickshaw used are ergonomically not very efficient. They are mostly pulled by daily wage laborers who have to put large effort in pedaling the rickshaw due to its inefficient design. Subsequently very little research is available on the subject of the effort applied by rickshaw puller with respect to rpm and load of on paddle Rickshaw. In the current case, systematic experimental study has been performed to find out the effort applied by the rickshaw puller at various conditions of speed and load on paddle rickshaw. Based on these results, a two gear mechanism has been designed to reduce the effort of the rickshaw puller to almost 50% in the initial start condition, where maximum effort has to be applied by the puller. The result of this research work can have implication on the society by easing the life of these people. 07 30 2019 2600 2606 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2881.078219 https://www.ijrte.org/portfolio-item/B2881078219/ Head of Research and Innovation, System Engineering and Energy Laboratory (SEELAB), Universiti Kuala Lumpur – Malaysian Spanish Institute, Kulim Hi-Tech Park, Malaysia. Muhamad Husaini Abu Bakar Mohamad-Syafiq Mohd-Kamal System Engineering and Energy Laboratory (SEELAB), Universiti Kuala Lumpur – Malaysian Spanish Institute, Kulim Hi-Tech Park, Malaysia. Sazali Yaacob Electrical and Electronics department, Universiti Kuala Lumpur – Malaysian Spanish Institute, Kulim Hi-Tech Park, Malaysia. Metal-air batteries are demanded in nowadays as a potential replacement of lithium based batteries in storage applications. Because of corrosion occur in metal electrode, this corrosion limited the performance lifetime of the metal-air batteries. The aims of this paper to evaluate the performance inhibition efficiency of phenol derivatives using quantum approach. An inhibitors efficiency of eight phenol derivatives was calculated using Density Functional Theory (DFT) with B3LYP functional and 6-311(d,p) basis set. The parameter of electronic structure was calculated to determine the inhibition efficiency. All of the phenol derivatives led to an increase in inhibition efficiency except 5-Methyl-2-nitrophenol and 4-(Methoxycarbonyl)phenol. DFT show that Phenol, 2,6-dimethoxy-4-2-(2-propenyl) is higher inhibitor efficiency at 94%. As a conclusion, phenol derivatives extracted from the pyrolysis can be used as inhibitor to reducing the corrosion on metal. 07 30 2019 3706 3712 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2884.078219 https://www.ijrte.org/portfolio-item/B2884078219/ Department of Electrical Engineering, Institute of Engineering & Technology, Lucknow, Uttar Pradesh, India. Saurabh Kumar Bharti Dwivedi Department of Electrical Engineering, Institute of Engineering & Technology, Lucknow, Uttar Pradesh, India. The competitive power system market involves very high financial risk due to the essential requirements of real-time bidding decision making. Decisions once taken cannot be altered easily because multiple generators participate in bidding process while simultaneously dispatching to meet the load demand most economically. In order to avoid such risks it becomes pertinent to re-structure the bidding strategies from time to time to meet upcoming techno-economical challenges. In this paper, three generating units are studied using Matrix Laboratory software with a novel approach for deciding the best strategy from the most economical strategy viewpoint. A scenario of different formulations is created for muti-player game, which then is solved with the help of zero-sum polymatrix game theory. A systematic tabular layout of revenues pertaining to each formulation in terms of mixed strategies is developed. The minimax and maximin revenues, identified using Game theoretic approach, gave the most economical strategy. Thus exact and self-enforcing generalized method for best bidding strategies of all three generators are logically derived for the most optimal solution. 07 30 2019 5669 5675 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2889.078219 https://www.ijrte.org/portfolio-item/B2889078219/ Research Scholar, Department, DYPIT, Pimpri, Civil Engineering, Associate Professor, PCCOE , Pune Mr. Gaikwad A. K Dr. S. B. Thakare Professor, Department, Civil Engineering DYPIT, Pimpri, Principal, APCOE, Pune Delivering Ready Mixed Concrete (RMC) to construction sites is an important task for the RMC Batch Plant (BP) manager. The RMC BP manager has to prepare an efficient schedule of dispatching RMC trucks, which will optimize the operations at the construction sites and also at the batch plant. The existing dispatching schedule mainly depends on the experience of the dispatching manager and preferences from sites. The RMC plant manager dispatches more and more RMC trucks to the longer construction site which may results in the lineup of RMC trucks at one site and keeping other sites waiting for the arrivals of RMC trucks, this may leads to ‘interruption’. In this model attempt is made to reduce the interruptions by giving scope to the BP manager to make changes in the SCT (Scheduled Casting Time) on single window called user friendly interface. A Genetic Algorithm User Interface (GAUI) model is developed in MATLAB environment to reduce waiting time of dispatching trucks. Result shows that GAUI model gives an un-interrupted dispatching schedule with reduced waiting time over the industry thumb rules results. 07 30 2019 3276 3281 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2890.078219 https://www.ijrte.org/portfolio-item/B2890078219/ Department of Electrical Engineering, ADCET, Ashta, Sangli, Maharashtra, India Dhanshri B. Bhadke Manoj D. Patil Department of Electrical Engineering, ADCET, Ashta, Sangli, Maharashtra, India This article researched controlling and operating a dc micro grid that can be operated in connected grid and island modes. Dc micro grid comprises of a wind turbine, dc loads, grid-connected converter arrangement and a battery energy storage scheme. When the scheme is linked to the grid, the active energy is balanced during standard operation to guarantee a continuous dc voltage. In grid ac failure, automatic power balancing is attained by combining the battery energy storage scheme as well as the grid converter. To demonstrate that the system can function under island circumstances, a synchronized battery scheme approach, wind turbine and load managing, including load shedding, is suggested. MATLAB simulations are provided to demonstrate the powerful operational presentation and confirm the predicted control system under different working situations, such as varying in load, grid ac fault, variable generation and islanding. 07 30 2019 3972 3978 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2895.078219 https://www.ijrte.org/portfolio-item/B2895078219/ Civil Engineering Department, S R Engineering College, Warangal, India. MD Ikramullah Khan Bhavani Challa Civil Engineering Department, S R Engineering College, Warangal, India. S. Haripriya Varma Civil Engineering Department, S R Engineering College, Warangal, India. Mohd Abbas Abdy Sayyed Civil Engineering Department, S R Engineering College, Warangal, India. Traditional testing methods such as absorption test and permeability test are normally not providing accurate results of nature of concrete and there is a need for another type of test to predict the durability of concrete. In this work, industrial by-product like dolomite, marble dust and fly ash are utilized as fraction of cement replacing with 2%, 4%, 6%, 8%, and 10% dolomite, 10% fly ash and 10% marble dust by the weight of cement. The study is conducted on mix designed concrete of M30 grade and compared with conventional concrete. The specimens are casted and tested to examine various properties of concrete like compressive strength, split tensile strength, durability and sorptivity. Durability test is done by hydrochloric acid (HCl) and sulphuric acid (H2SO4) on dolomite powder, promising results were obtained in the sorptivity test which shows the dense nature of concrete by the usage of dolomite powder. 07 30 2019 5676 5681 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2896.078219 https://www.ijrte.org/portfolio-item/B2896078219/ Department of Mechanical Engineering, Rajalakshmi Engineering college, Thandalam. C. Devanathan A.Suresh Babu Department of Manufacturing Engineering, College of Engineering guindy, Anna Universsity, Chennai. B. Haribabu Training Officer, L& E operations, NTTF, Bangalore. E. Shankar Department of Mechanical Engineering, Rajalakshmi Engineering college, Thandalam. Friction stir processing is a modified form of friction stir welding process which is introduced to prepare the surface composites or to repair the defects in the surface to enhance the mechanical properties. The process is a green and environmental friendly process, where the required heat is produced by frictional action. In the present work, Surface composites were prepared using Al 5052 as base material and Al2O3 as reinforcement particles. Parameters such as number of passes, spindle speed, feed rate and tool pin profile were taken in three different levels. Six tools were made, three tools with 3:1 and remaining three with 4:1 D to d ratio. Totally 18 experiments were conducted with two group of tools. The results were analyzed to study the influence of above mentioned parameters on mechanical properties like tensile strength, hardness. The results were compared for different D/d ratios. The experimental results revealed that 3:1 D/d ratio tools were given better results than 4:1.Tool with square pin profile given better hardness and strength than the other profiles. This is because of the pulsating effect of the square pin profile. The other parameters have directly proportional relationship up to certain level, after which further increase of parameters reduces the tensile strength and hardness. 07 30 2019 3979 3983 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2897.078219 https://www.ijrte.org/portfolio-item/B2897078219/ Industrial Engineering and Management, M S Ramaiah Institute of Technology, Bangalore, India. Ms. Sabiya K Dr. M. Shilpa Industrial Engineering and Management, M S Ramaiah Institute of Technology, Bangalore, India. Dr. S. Appaiah Industrial Engineering and Management, M S Ramaiah Institute of Technology, Bangalore, India. Lean aims to eliminate the non-value-added activity which affects the cost of production along with the scrap rate Lean is often considered as a collection of tools and practices for superior operational and financial performance, through process improvement. Lean is an improvement concept for operational performance in the manufacturing environment. In this work, lean techniques are applied to the manufacturing of random rods at a leading manufacturing company of Thermo Mechanically Treated (TMT) reinforced bars to reduce the scrap. The hot billet coming from the extrusion machine is sent to the rolling mill machine where the TMT bars are produced; this consists of three stages – roughing mill, shear cutting, and programming logical controller. During the shear cut operation performed on the billet, a large amount of scrap was being generated. To reduce this scrap and the non-value-added activities, lean techniques have been applied. Also, the size of the billet was changed to produce maximum yield. With this, the scrap rate at the rolling mill machine has significantly decreased leading to a notable reduction in the cost of production. 07 30 2019 3483 3487 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2898.078219 https://www.ijrte.org/portfolio-item/B2898078219/ Faculty, SOPRIM, National Institute of Construction Management and Research, Pune, India. Tushar Jadhav Avireddy Prithviraj Reddy Post graduate student, Project Engineering and Management, SOPRIM, National Institute of Construction Management and Research, Pune, India. Pranati Boddupally Post graduate student, Project Engineering and Management, SOPRIM, National Institute of Construction Management and Research, Pune, India. Rheya Shaajo Post graduate student, Project Engineering and Management, SOPRIM, National Institute of Construction Management and Research, Pune, India. Richa Reji Post graduate student, Project Engineering and Management, SOPRIM, National Institute of Construction Management and Research, Pune, India. Building retrofit programme has received significant attention in recent years. This article aims to make a contribution towards low cost green retrofit for office application. The retrofit options suggested in this study includes ventilation system, efficient lighting system, potted plants for better indoor air quality and thermal insulation to walls and roof. The detailed analysis of proposed ventilation system is included in the present study. The comparison between proposed ventilation system with existing air conditioning system is also analyzed. The study demonstrates an efficient way towards achieving low cost green retrofit. The outcomes of this case study will increase the confidence among stakeholders in promoting energy conservation and sustainability. 07 30 2019 3155 3161 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2899.078219 https://www.ijrte.org/portfolio-item/B2899078219/ Department of Business, Trade and Stock Exchange Operations, Yurii Fedkovych Chernivtsi National University, Chernivtsi, Ukraine Oksana Zybareva Liudmyla Verbivska Department of Business, Trade and Stock Exchange Operations, Yurii Fedkovych Chernivtsi National University, Chernivtsi, Ukraine Inna Lopashchuk Department of Business, Trade and Stock Exchange Operations, Yurii Fedkovych Chernivtsi National University, Chernivtsi, Ukraine Olga Kalaman Department of Management and Logistics, Odessa National Academy of Food Technologies, Odessa, Ukraine Tatyana Derkach Department of Management, International Humanitarian University, Odessa, Ukraine Nataliia Smentyna Department of Economics, Law and Business Management, Odessa National EconomicUniversity, Odessa, Ukraine. Complex administrative processes in the conditions of increasing instability in the external environment and destructive methods of globalization determine the relevance of the strategically oriented enterprise management, which includes the formation of an optimal development strategy that takes into account economic and social, technological and other essential factors.The use of information systems in the strategic management of the enterprise requires a more detailed study. The use of information systems in strategic management allows us to formulate ideas about specific "bottlenecks" in the activities of the senterprise based on the information gathered and respond adequately and promptly to them. The prospect of further research may be the study of the use of other information systems in strategic management. 07 30 2019 3014 3017 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrteB2900.078219 https://www.ijrte.org/portfolio-item/B2900078219/ Research Scholar, KLEF, Guntur District, A.P., India. Mohammad Arshad Dr. Mohammad Ali Hussain Professor KLEF, Guntur District, A.P, India Wide Area Networks (WANs) are subjected massive Denial of Service (DoS) attacks known as Distributed Denial of Service (DDoS) attacks. There are many distributed computing use cases in the real world. They include banking, insurance, e-Commerce and a host of other applications. In distributed environments, these applications are targeted by adversaries for launching DDoS attacks of various kinds. Such attacks cause the servers to be very busy answering fake traffic from the compromised nodes used by attackers from behind the scene. Large number of computers over Internet are compromised by attackers and through such machines DDoS attack is made. The server machines that provide services to genuine users become victims of such attacks. Detecting DDoS attacks is difficult in the presence of flash crowds that resembles DDoS traffic. As there are different kinds of DDoS attacks, it is understood, from the literature, that there is need for further research to have a comprehensive framework for detecting different kinds of DDoS attacks. In this paper we proposed a hybrid approach for detecting various kinds of DDoS attacks and simulation study is made to have proof of the concept. The results of the experiments revealed that the proposed methodology is useful to detect DDoS attacks in wide area networks. 07 30 2019 3488 3494 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2903.078219 https://www.ijrte.org/portfolio-item/B2903078219/ Assistant Professor, Malla Reddy Institute Of Technology, Secundrabad, Telangana. Naveen kumar. B Dr. Kavita Singh Associate Professor, Malla Reddy Institute Of Technology, Secundrabad, Telangana. India is one among the developing countries wherever in Construction is that the second largest trade causative to the nation’s value standing next to agriculture. In today’s context all the developing and a few of the developed countries face the matter of handling environmental pollution arising attributable to the development activities. Also, conservation of natural resources so as to attain property surroundings has become of the challenges nowadays. Construction activities embody the assembly of concrete, mortar, bricks, blocks etc. Major things embody cement, fine aggregates like sand, coarse aggregates, bricks, blocks, steel etc. Among this cement production quite 70% of CO2 and alternative harmful gases are generated and enters the atmosphere. This may harm the ozonosphere therefore it's necessary to scale back the assembly and consumption of cement. As an answer, it's necessary to use various building materials that doesn't produce harmful effects for the surroundings. Several researches are done on many alternatives for cement, fine aggregates and coarse aggregates. By analysis work currently a days, cement is replaced by ash, rice husk ash, slag, baggage ash, eucalyptus ash, saw dirt ash, waste sludge ash etc. by victimization this alternatives for cement, the consumption of the cement can scale back and also the production can rebelliously reduces therefore up to some extent it should solve the issues arising within the environmental pollution from construction activities. 07 30 2019 3494 3498 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2904.078219 https://www.ijrte.org/portfolio-item/B2904078219/ Research Scholar, Dept of Computer Science and Engineering , Amity University Madhya Pradesh, Maharajpura, Gwalior, Madhya Pradesh, India. Alpana Sharma Prof (Dr.) Venkatadri Marriboyina Dept of Computer Science and Engineering, Amity University Madhya Pradesh, Maharajpura ,Gwalior, Madhya Pradesh, India. Prof (Dr.) Kamlesh Gupta RustamJi Institute of Technology (RJIT), Takenpur, Gwalior, Madhya Pradesh, India The advancements in internet and 5G communication technologies enormously use images as a crucial element for effective digital communication. Most of the digital devices support image communication as a prominent way of communication in digital Era. Most of the unauthorized access of digital Era communications leads to serious issues in digital data or digital image communications. Hence, Image Security in digital communication becomes an egress area of research in Digital Era. This paper is to design and implement an algorithm with a 96 bits cryptographic system. The result analysis carries out in this paper on input images and presents the comparative analysis of our proposed algorithm with the standard algorithms through standard performance evaluation metrics. 07 30 2019 5139 5146 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2905.078219 https://www.ijrte.org/portfolio-item/B2905078219/ Department of Engineering and Architecture, University of Parma, Parma, Italy and Department of Innovative Technologies, SUPSI, Manno, Switzerland. Marco Silvestri This paper is about a mechanical solution to vibration problem of a wrapper flow pack mechanism, which is used in packaging industry. The target mechanism is the welding head of the machine where the vibration is generated, due to eccentric masses rotating with a cut-on-the-fly motion law. Consequently, production rate is limited by the vibration at 200 pieces per minute. To reduce the vibration so that the production rate can exceed over 200 ppm, two ways of improvements are considered. The first one is optimizing the motion law. The other one consists in mechanical modifications which eliminates or balance out the inertia forces derived from the eccentric rotating mass. This research implements the second way of adding balance weights and discusses the properties of it. During analysis, the software ADAMS which provides kinematic simulation is used as the analytical tool to test and examine the solutions proposed. 07 30 2019 2707 2713 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2906.078219 https://www.ijrte.org/portfolio-item/B2906078219/ Electronics and Communication Engineering, Mepco Schlenk Engineering College, Sivakasi, India. Varun Prakash. R Kirubakarn. G Electronics and Communication Engineering, Mepco Schlenk Engineering College, Sivakasi, India. Dinesh Kumar. D Electronics and Communication Engineering, Mepco Schlenk Engineering College, Sivakasi, India Vignesh Nainar. A Electronics and Communication Engineering, Mepco Schlenk Engineering College, Sivakasi, India. An unmanned aerial vehicle, commonly known as a drone, is an aircraft without a human pilot aboard. Essentially, a drone is a flying robot that can be remotely controlled or fly autonomously through software-controlled flight plans in their embedded systems, Flying robots are increasingly adopted in search and rescue missions because of their capability to quickly collect and stream information from remote and dangerous areas. Their maneuverability and hovering capabilities allow them to navigate through complex structures, inspect damaged buildings, and even explore underground tunnels and caves. Since their size is fixed, maneuvering over the compact areas and tunnels of variable size becomes an issue. To overcome this issue, we propose a model of quadrotor design which has the capability to change its size. The arm length of the quadrotor is changed dynamically so that it can fly in areas of variable sizes that would be hard to reach with the quadrotor of fixed arm length. On the other hand, our model is cost-effective, since the arm of the drone is designed with PVC (Polyvinyl Chloride). Using this model, drones will be able to move over compact areas and passages of variable sizes, thus aiding in better exploration during search and rescue operations. 07 30 2019 3162 3166 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2907.078219 https://www.ijrte.org/portfolio-item/B2907078219/ Department of ECE, Gayatri Vidya Parishad College of Engineering (A), Visakhapatnam, India. Srinu Pyla K. Padma Raju department of ECE, J. N. T. University, Kakinada, Kakinada, India. N. Balasubrahmanyam Department of ECE, Gayatri Vidya Parishad College of Engineering (A), Visakhapatnam, India. Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing (MIMO OFDM) is a key technology for contemporary communication systems due to its spectral efficiency, higher data rates, better diversity gain, good link reliability and both inter symbol interference (ISI) and multipath fading free transmission. However, due to the presence of OFDM, MIMO-OFDM suffers from high peak to average power ratio (PAPR). Even though, several schemes are available to mitigate PAPR, there is no standard solution. Selective Mapping (SLM) significantly reduces the PAPR in OFDM systems at the cost of computational complexity (CC). The CC of SLM can be reduced by proper design of SLM. This paper considers a low complexity SLM (LC SLM) scheme in which both the CC and length of the index of selected phase sequence are significantly reduced. The PAPR of an SLM-OFDM depends on the number of subcarriers in OFDM, the number of candidate blocks in SLM and selected phase sequence and this paper investigate various phase sequences and analyses their PAPR performance. Simulation results show the superior performance of Riemann sequence over the other phase sequences. 07 30 2019 4347 4353 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2908.078219 https://www.ijrte.org/portfolio-item/B2908078219/ Research Scholar in the department of Electrical and Electronics Engineering, Pondicherry Engineering College, Pondicherry University, Pondicherry, India. A. Geetha Dr. N.P. Subramaniam Associate and Teaching Faculty for the Electrical and Electronics Engineering Department at Anna University of Chennai Dr. R. Gnanadass Department of Science and Technology, Government of India. Dual Active Bridge (DAB) is an isolated bidirectional DC-DC converter, which comprises two full bridge converters linked through a high frequency transformer. It has low stresses and permits high frequency performance because of the soft-switching. All the switches in the converter achieves the turn ON & OFF during Zero Voltage Switching (ZVS) and Zero Current Switching (ZCS) to minimize switching loss. Generally, DAB is classified as two types, namely, voltage-fed and current-fed variants. At light load conditions, soft-switching is not realized in case of voltage-fed DAB topologies. The application of current-fed DAB converters is to reduce the losses at the time of switching under light load conditions and improves the efficiency. This paper describes the various topologies of voltage-fed and current-fed DAB used for different applications in microgrid and fuel cell energy generation system by using the simulation. The performance of voltage-fed and current-fed DAB with snubber-less converters are also demonstrated and their effectiveness are validated. 07 30 2019 3169 3175 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2912.078219 https://www.ijrte.org/portfolio-item/B2912078219/ Department of Computer Science and engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India. Sabha samreen Dr.Kiran Mai Cherukuri Department of Computer Science and Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India. Dommati Venkatsai Goud Department of Computer Science and Engineering, , VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India Heart disease is a usually used word to describe diseases related to heart, when heart is not efficiently performing at is best, most of this disease is acquired because of unhealthy lifestyle and unhealthy food. Heart diseases need regular care to improve the patient’s quality of life. We can analyze cardiac disabilities of a individual by factors like historical health data and risk factors .The fusion of algorithms with clinical data can forecast the results of any disease so, incorporating these two things for Predicting and diagnosis of the heart functionality using the computational algorithms where the user interface in developed in R studio. Foremost objective of the system is for majorly predicting the heart anomalies collected using the real time clinical data .The proposed method uses the performance comparison of the algorithms and as well as the datasets like random forest and logistic regression to calculate which gives highest accuracy rate performance and this study also involves use of two different datasets, one which is available in the existing dataset for heart disease and another which was collected from the hospital in real time, so this can help in making an efficient system that can be utilized to predict the probability of heart diseases of any individual. Thus this can form a foundation for any therapy or treatment to be given this would increase the efficiency as well as help the medical staff and doctors to predict heart disease and more accurately. Computer diagnosis and prediction of a disease can solve many medical problems by predicting it beforehand. 07 30 2019 2607 2611 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2914.078219 https://www.ijrte.org/portfolio-item/B2914078219/ Research Scholar, Department of Computer Science, Sri Ramakrishna College of Arts & Science for Women, Coimbatore, Tamilnadu, India A.C. Ashmita Dr.C. Yamini Associate Professor, Department of Computer Science, Sri Ramakrishna College of Arts & Science for Women, Coimbatore, Tamilnadu, India Cloud computing focus on the data storage and the management. Since the cloud is open source for the user there have to protect the privacy and the security of the data which are less maintenances. There are several approaches designed to establish a secure data. The Signature work of this scheme is to allow the user to verify the shared in the cloud using the secret key. The anonymzed access policy can be viewed by the Cloud Service Provider (CSP) and the user; hence the recipient information will not be leaked or disclosed. The novel idea of this method is to conserve the privacy of the access policy using Cipher text Policy Access Based Encryption (CP- ABE) scheme. We have proposed a novel system, “Concealed Policy using mandatory and Role based”, using time elapsed of 10 secs. Within the required time the user, should response to the cloud using their Secret key(SK) to decrypt the file, and the owners with the Public key (PK), must encrypt the file using the mandatory access and upload it to the Third Party Auditor (TPA).This will improves the security to the user in the cloud environment. The concealed policy relies on two stages, there is Mandatory policy and Role based policy using the signature verification. Which are more efficient to the user to encrypt and decrypt the file. Without verification of the signature, the legitimate user cannot access the particulars in the cloud environment. If the signature of the user is valid, there can access (decrypt) the file using the SK. whereas, invalid signature occurs the TPA (Third Party Auditor) traces the reasonable user responsible for the signature and check with the mandatory access to encrypt the file, Nether less the access den ailed. 07 30 2019 3018 3023 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2916.078219 https://www.ijrte.org/portfolio-item/B2916078219/ Professor, Department of Civil Engineering, National Institute of Technology, Srinagar, India. MA Lone Floods cannot be absolutely controlled but can be managed to reduce the losses. The changing climate is a major cause of the increasing trends in the erratic and heavy rainfall events causing floods. The rains those lashed out during the first week of Septemeber-2014 in Kashmir Valley resulting in a devastating flood is one of the examples of such hazards. Many attempts have been made by different agencies and the people to ascertain the cause of this devastating flood. Most of these studies focus on the River Jhelum’s main course and do not pay much attention to the role of its tributaries in the said event. The present study is an attempt to analyse the role of the most hazardous tributary of the River Jhelum, known as Vishav River in the horrible catastrophe. River Vishav is a major tributary of the river Jhelum and contributes to nearly one-fifth of its discharge. On basis of the information collected and the survey conducted after the floods, it is believed that this tributary of river Jhelum played a major role in the 2014- devastating floods. The present study highlights the present status of the river Vishav, its behaviour, its role in 2014 floods and flood mitigation measures in the Vishav basin. 07 30 2019 5147 5151 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2918.078219 https://www.ijrte.org/portfolio-item/B2918078219/ Assistant Professor, Department of Computer Science and Engineering, Shri Ramdeobaba College of Engineering and Management, Nagpur, India. Gaurav Kawade Nilesh Korde Assistant Professor, Department of Computer Science and Engineering, Shri Ramdeobaba College of Engineering and Management, Nagpur, India Kavita Kalambe Assistant Professor, Department of Computer Science and Engineering, Shri Ramdeobaba College of Engineering and Management, Nagpur, India Sunita Rawat Assistant Professor, Department of Computer Science and Engineering, Shri Ramdeobaba College of Engineering and Management, Nagpur, India Siddhant Jaiswal Assistant Professor, Department of Computer Science and Engineering, Jhulelal Institute of Technology, Nagpur, India A Wireless Sensor Network is a set of sensor nodes that are integrated with a physical environment. This tiny sensor node capable of sensing physical phenomena and it can process the sense data. Sensor nodes radio range is short so they transfer data in a multihop manner to form network which will send network activities to base station. Data transmission consumes much more energy than computation. So to overcome this problem data aggregation technique can be useful. This approach reduces energy consumption by avoiding repeated data. Security in wireless sensor network is also one of the important issues. Some properties of a WSN make it more harmed by certain types of attackers, compared to traditional wired network. Furthermore, constrained devices create their own problems for wireless sensor network. As sensor node is powered by batteries and node required lot of energy to perform some complex computation. So it is important to prevent every node in computation process which will save energy to gain longer network life. The focus of this work is provides confidentiality protecting hierarchical concealed data aggregation for WSN using privacy homomorphism. End to End Homomorphic Paillier cryptoscheme is used to achieve proposed approach. 07 30 2019 3366 3371 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2919.078219 https://www.ijrte.org/portfolio-item/B2919078219/ Computer Science & Engineering, Global Academy of Technology, Bangalore, India. Asha R N Dr. Venkatesan Computer Science & Engineering, DSCE, Bangalore, India. Intrusion detection is the one of the challenging task in wireless sensor network and prevents the system and network resources from being intrude or compromised. One of the ongoing strategies for recognizing any anomalous activities presented in a network is done by intrusion detection systems (IDS) and it becomes an essential part of defense system against attacker problems. The primary goal of our work is to study and analyze intrusion detection technique meant for improving the performance of Intrusion Detection using hybrid ANN based Clustering technique. To estimate the effectiveness of the proposed strategy, KDD CUP 99 dataset is utilized for testing and assessment. Based on the analysis, it is noticed that the proposed ANN clustering performs much better than other methods with respect to accuracy which attains an average high accuracy of 93.91%when compared with other methods. 07 30 2019 2612 2616 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2920.078219 https://www.ijrte.org/portfolio-item/B2920078219/ Research Scholar, Acharya Nagarjuna University, Nagarjuna Nagar, Guntur, Andhra Pradesh 522510, India. Venkata Tulasiramu Ponnada Dr.S.V.Naga Srinivasu Professor, Computer science and engineering, Narasaraopeta Engineering College, Narasaraopet, Andhra Pradesh 522601, India. The machine learning based solutions for medical image analysis are successful in detection of wide variety of anomalies in imaging procedures. The aim of the medical image analysis systems based on machine learning methods is to improve the accuracy and minimize the detection time. The aim in turn contributes to early disease detection and extending the patient life. This paper presents an efficient CNN (EFFI-CNN) for Lung cancer detection. EFFI-CNN consists of seven CNN layers (i.e. Convolution layer, Max-Pool layer, Convolution layer, Max-Pool layer, fully connected layer, fully connected layer and Soft-Max layer). EFFI-CNN uses lung CT scan images from LIDC-IDRI and Mendeley data sets. EFFI-CNN has a unique combination of CNN layers with parameters (Depth, Height, Width, filter Height and filter width). 07 30 2019 3499 3503 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2921.078219 https://www.ijrte.org/portfolio-item/B2921078219/ Departamento de Ingeniería Biomédica, Universidad Autónoma de Aguascalientes, Aguascalientes, Ags., Mexico. Eduardo Rubio Omar Gutiérrez-Navarro Departamento de Ingeniería Biomédica, Universidad Autónoma de Aguascalientes, Aguascalientes, Ags., Mexico. Ivonne Bazán Trujillo Departamento de Ingeniería Biomédica, Universidad Autónoma de Aguascalientes, Aguascalientes, Ags., Mexico. Bioelectric signals are distorted by unwanted electric noise interference. This paper focuses on techniques that can be applied to surface electromyographic systems design to improve the signal-to-noise ratio. Three case studies are presented in this manuscript: Effects of the front-end instrumentation amplifier gain, use of dc-dc converters for single-supply operation, and dedicated hardware for 60 Hz power line noise rejection. Results show that the quality of the signal is highly improved when the suggested techniques are applied. 07 30 2019 3506 3509 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2922.078219 https://www.ijrte.org/portfolio-item/B2922078219/ Department of Computer Science and Applications, Chaudhary Ranbir Singh University, Rohtak, India. Sujata Saini Vishal Verma Department of Computer Science and Applications, Chaudhary Ranbir Singh University, Jind, India. The history of a country always helps in the development of making modern society. Japanese classical handwritten/literature dataset Kuzushiji-MNIST and Kuzushiji-49 recently introduced in public domain by Center of Open Data in the Humanities (CODH). The availability of the datasets invite the researchers in different domains. The hidden treasure of information in these datasets resolved and worked by many researchers. The research on these datasets can be helpful to explore and analyze the detail of Japanese era/literature, which ultimately helps in the development of modern society. In this study, Deep Convolutional Neural Network (DCNN) with DropBlock regularization is used to recognize the hiragana characters in Japanese historical script. 07 30 2019 3510 3515 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2923.078219 https://www.ijrte.org/portfolio-item/B2923078219/ Student, Sharda University, Greater Noida,(U.P.), India. Eshetu Tesfaye Pooja Associate Professor, Department of Computer Science and Engineering, Sharda University, Greater Noida, (U.P.), India. Rani Astya Department of Computer Science and Engineering, Sharda University, Greater Noida, (U.P.), India. A recommender framework is a data refining engines that seeks to foresee the rating for customers and things from enormous information to suggest their preferences. Movie suggestion frameworks give a system to help customers in arranging customers wi 07 30 2019 4463 4471 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2950.078219 https://www.ijrte.org/portfolio-item/B2950078219/ Research Scholar, Department of Computer Science and Engineering, Annamalai University. R. Balamurugan Dr. R. Arunkumar Associate Professor, Department of Computer Science and Engineering, AnnamalaiUniversity. Dr. G. Prabakaran Associate Professor, Department of Computer Science and Engineering, Annamalai University. Locating objects in an image is a very useful task for robotic navigation and visually impaired persons. The ultimate goal of my work is to position the recognized objects in the image. Objects are detected using Adaboost techniques and also recognized from the real-time images. Objects are detected using AdaBoost classifier. SIFT features are extracted from the objects found in the image and classified using Support Vector Machine, and the position of an objects are estimated. We proposed IOLE algorithm to estimate the location of object in an image. 07 30 2019 5152 5156 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2951.078219 https://www.ijrte.org/portfolio-item/B2951078219/ Ph. D Scholar*, Computer Engineering, Kurukshetra University/ UIET, Kurukshetra, Haryana, India, Narender Sona Malhotra Assistant Professor, Computer Engineering, Kurukshetra University/ UIET, Kurukshetra, Haryana, India, The software has many features like functionality, maintainability, serviceability, usability, quality, performance. The reliability of the software is an imperative characteristic of software that leads to the eminence of the software. Software reliability is a great concern for software producers as well as users of the software. Keeping this concern in mind, there are already hundreds of software reliability models developed in the last four decades. This paper evaluates different algorithms based on Swarm intelligence in the way of optimization in software reliability. There are a number of swarm intelligence based algorithms that already have been used to improve the efficiency of the reliability of the software. Some of them are ant colony optimizer method (ACO), particle swarm optimizer method (PSO), artificial bee colony optimizer (ABC), bat algorithm, fish swarm algorithm, cuckoo search, bird flock algorithm. Still, there are so many algorithms based on Swarm intelligence that has not been used in this area. This paper investigates some known swarm intelligence based algorithms and their applications for optimizing software reliability. 07 30 2019 3323 3327 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2953.078219 https://www.ijrte.org/portfolio-item/B2953078219/ Thuyloi University, Hanoi, 100000 Ha noi, Vietnam. Sylvain Guiolou, Laboratoire Universitaire des Sciences Appliquées de Cherbourg (EA4253), Université de Caen. Site Universitaire de Cherbourg, BP 78, 50130 Cherbourg-Octeville, France Duc Hau Nguyen Le Thi Thu Hien Thuyloi University, Hanoi, 100000 Ha noi, Vietnam. Quang Hung Nguyen Thuyloi University, Hanoi, 100000 Ha noi, Vietnam. Proper Orthogonal Decomposition (POD) is based on a space and time decomposition and on the finding of eigenfunctions. It is a technique for recognizing or identifying key dominant features in data sets. The release of high sand concentrated in water induces a flow with particular structures as showed experimentally by Villaret et al. [1]. Two-phase flow simulations with no current were presented by Guillou et al. [2]. The present paper shows the POD-analyses of results of such a simulation with and without current. Two spatio-temporal fields, the solid volume fraction and the solid phase velocity within the sediment release coherent structures are successfully captured by applying Proper Orthogonal Decomposition on numerical simulation results.. 07 30 2019 2347 2353 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3000.078219 https://www.ijrte.org/portfolio-item/B3000078219/ Computer Science Program, Faculty of Science and Technology, Suan Sunandha Rajabhat University, Bangkok, Thailand. Nalinee Sophatsathit This paper proposes a software development tracing technique as a means for source of requirement verification. It is a pragmatic process since the methods employed in this research are well-known and practiced by software developers. The proposed technique helps trace any missing unimplemented or erroneously implemented requirements to insure their completeness. The underlying principles are governed by the proposed apriori algorithm and precedence relation that link all the cross-reference action items in the UML diagrams. These links are then recorded in a checklist that serves as the reference to requirement items and action sign-off confirmation. Thus, the contributions of this research work are two folds. First, the proposed tracing technique is simple, pragmatic, and inexpensive to learn and implement. Second, it helps reduce human errors caused by manual process that are often performed by different parties. The result statistics show that many errors incurred in the development process can be identified and rectified accordingly. Future work should focus on automating the proposed technique to be a development support tool for the benefits of software practitioners and technology. 07 30 2019 3282 3287 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3008.078219 https://www.ijrte.org/portfolio-item/B3008078219/ Assistant Professor, ECE Department, GITAM University, Bangalore, India Nagarjuna Telagam Dr.Sunita panda Assistant Professor, ECE Department, GITAM University, Bangalore, India Dr.K. Nehru Professor, ECE Department, Institute of Aeronautical Engineering, Hyderabad, India Menakadevi Nanjundan Assistant Professor, ECE Department, Hindustan College of Engineering and Technology, Coimbatore, India. This paper enhances fire rescue system for reducing the number of victims in case of fire accidents. This system has been developed and implemented using the smart sensors and LabVIEW technology. It will automatically identify the fire accident and inform it to the rescue team (loco pilot for trains, security in buildings) through voice signal transmission. Servo motors are connected to water sprinklers to control fire. As an initial step, fire will be suppressed and intimation about the accident will be sent through short message service to the local fire stations, ambulance. This short message service consists of the status of fire accident accurately by transmitting the physical parameters. This also display the particular area code based upon that global system for mobile network. The complete details about the location (buildings, trains) could be intimated. With simple camera the number of members entered into the room can be known. So that directly saves the people instead of searching every room. As a whole this system ensures that it will reduce the human death ratio due to accidents. 07 30 2019 3372 3380 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3010.078219 https://www.ijrte.org/portfolio-item/B3010078219/ MJIIT UTM, Kuala Lumpur, Malaysia. O. Nurihan Y. Aminanda Faculty of Engineering, UTB Brunei Darussalam. J.S.M Ali Kuliyyah of Engineering, IIUM, Gombak, Kuala Lumpur Z.A. Rasid MJIIT UTM, Kuala Lumpur, Malaysia. H. Yahaya MJIIT UTM, Kuala Lumpur, Malaysia. Composite material has been widely used in aircrafts due to its high strength to weight ratio that leads to weight saving of the aircrafts. Equally important, aircraft material should be tough i.e. it should have the ability to absorb high energy and thus resist fracture. The aircraft’s wing design requires the material to have high toughness as parts of the wing especially its leading edge is subjected to impact loadings. Using finite element software of LS-DYNA, this research focuses on studying the impact behaviour of composite panels that represent the leading edges of wings when the panels are subjected to rigid sphere projectile. Three shapes of panels are used: flat, semi-circular and semi ellipse while panels can be of 2, 4 and 8 layers to vary its thickness. The panels are made of laminated composites with woven carbon fibres and the angle of orientations are [0/90] n, [0/45]n and [45/-45]n where n will give the number of layer for the composite. The Mat-58 material type suitable for woven type fibre is used where failure criteria of Hashin is applied. It was found that the simulation results are in a very close agreement with the finding from experiments conducted earlier. Furthermore, the optimum stacking sequence was found to be the [0/45]2 stacking sequences 07 30 2019 2617 2622 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3013.078219 https://www.ijrte.org/portfolio-item/B3013078219/ Research Scholar, Department of Computer Science, Sri Ramakrishna College of Arts and Science for Women, Coimbatore, India. Dithy M.D Dr. V Krishna Priya Professor and Head-PG, School of computing, Sri Ramakrishna College of Arts and Science, Coimbatore, India. Anemia is the global hematological disorder that occurs in pregnancy. The feature selection of unknown logical knowledge from the large dataset is capable with data mining techniques. The paper evaluates anemia features classes of Non-anemic, Mild and Severe or moderate in real time large-dimensional dataset. In the previous works, Anemia diseases can be classified in a selection of approaches, based on the Artificial Neural Networks (ANN), Gausnominal Classification and VectNeighbour classification. In these previous studies attains the proper feature selection with classification accuracy but it takes large time to predict the feature selection. So the current paper to overcome the feature selection, computational time process presents an improved Median vector feature selection (IMVFS) algorithm and new RandomPrediction (RP) classification algorithm to predict the anemia disease classes (Mild, Not anemic and Severe and moderate) based on the data mining algorithms. The results have shown that the performance of the novel method is effective compared with our previous Classification of ANN, Gausnominal and VectNeighbour classification algorithms. As the Experimental results show that proposed RandomPrediction (RP) classification with (IMVFS) feature selection methods clearly outperform than our previous methods. 07 30 2019 2623 2630 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3016.078219 https://www.ijrte.org/portfolio-item/B3016078219/ Department of ECE, Nitte Meenakshi Institute of Technology, Bangalore, India. Varsha Prasad Dr S Sandya Department of ECE, Nitte Meenakshi Institute of Technology, Bangalore, India. Frequency Synthesizer forms the heart of electronic communication system. Phase Locked Loop (PLL) based Frequency Synthesizers over the years has become the ubiquitous solution for generation of stable clock source. But it is a challenging task to design and develop PLL to be used in radiation environment such as in satellites, space systems and military electronics. Since impact of radiation strike on PLL is said to introduce transient faults resulting in increased timing jitter, distortion in phase, and bit flips. One or more of the above said effects can initiate false triggering which may result in incorrect data to be latched, loss of synchronization in data processing and networking. This may lead to catastrophic effect. Hence, as the stability of frequency synthesizer is of vital importance, there is a stressful need for design of radiation hard, fault tolerant frequency synthesizer. With this motivation, in this paper, a radiation hard CMOS Charge Pump PLL is designed to synthesize a 2.4GHz frequency source using 20MHz reference input frequency. The proposed radiation hard PLL design uses a hybrid Radiation Hardening By Design (RHBD) fault tolerant technique combined with redundancy, hence offering a twofold level of fortification from radiation spikes. Cadence tool was used for simulation. The PLL designed has exhibited satisfactory performance. The RHBD Charge Pump PLL in presence of radiation strike resulted in rms jitter of 128.9ps, phase noise of -94.03dbc/Hz and settling time of 159ns against the IEEE 802.11b/g standard requirement of 250ps jitter, -110dbc/Hz phase noise and 10us setting time. 07 30 2019 3984 3995 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3017.078219 https://www.ijrte.org/portfolio-item/B3017078219/ Department of Electrical Engineering, Tripura Institute of Technology, Narsingarh, Agartala-799009, West Tripura, India. Sajal Debbarma Shivaji Debbarma Department of Electrical Engineering, Tripura Institute of Technology, Narsingarh, Agartala-799009, West Tripura, India. Saptadip Saha Department of Electrical Engineering, National Institute of Technology Agartala, Jirania, Agartala-799046, West Tripura, India. This work illustrates the development of a new hybrid MPPT algorithm and the construction of an efficient charge controller based on this algorithm. The existing perturb & observe (P&O) methodology and incremental conductance (IC) method are unable to trace the global maximum power point (GMPP) once there's a frequent modification in solar irradiance. These algorithms stick to local maxima in such scenario so the controller efficiency drops. Here a new hybrid MPPT algorithm was designed to track the GMPP efficiently, which involves the concept of Savitzky Golay digital filter technique. This filter is employed to swish a collection of digital information points that additional will increase the S/N of the signal while not greatly distorting it. The substitute sub-sets of niggardly observations fact are passable about a low-degree polynomial by the come nigh of neat least squares by means of convolution. This algorithm first smoothens the output of photovoltaic using the described technique and removes the local maxima and then further applies the P&O method to find out the GMPP. The circuit was simulated using Proteus and later on, an experimental setup was built using Arduino UNO (ATMEGA328P) to run the algorithm in real-time environment. The controller successfully tracked the GMPP voltages for variable irradiance both in simulation and real-time environment. 07 30 2019 2631 2637 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3021.078219 https://www.ijrte.org/portfolio-item/B3021078219/ Department of Computer Science, VISTAS, Chennai, India. S. Uthra K. Rohini Department of Information Technology,School of Computing Sciences, VISTAS, Chennai, India. The mining of affiliation rules remains a well-enjoyed and successful procedure for getting critical data from monstrous data sets. It attempts to look out feasible connections between things in monstrous data sets upheld exchanges. Visit examples ought to be created to frame these affiliations. The "R-APRIORI" standard and its arrangement of improved variations, that were one in all the soonest visit design age calculations arranged, remain a most well known option because of their easy to execute and parallel to the common inclination. despite the fact that there are a few conservative single-machine methodologies for Apriori, the huge amount of data by and by open so much surpasses the capacity of 1 machine. In this way, it's important to scale over numerous machines to satisfy the regularly developing requests of this data. Guide cut back could be a well-loved distributable adaptation to non-critical failure structure. Be that as it may, genuine circle I/O in each Map cut back activity obstructs the efficient usage unvaried Map cut back information handling calculations like Apriori Platforms. An as of late arranged distributable data stream stage Sparkle beats the Map cut back I/O circle bottlenecks. Shimmer so gives an ideal stage to circulation Apriori. In any case, the principal computationally costly errand inside the execution of Apriori is to thought of applicant sets with everysingle possible go after singleton visit things and to check each match with each managing record. Here we tend to propose a spic and span approach that drastically decreases this methodology multifaceted nature by dispensing with the progression of creating applicants and maintaining a strategic distance from costly examinations. We stock out in– profundity trials to discover the power and quantifiability of our methodology. Our investigations demonstrate that our methodology commonly beats Sparkle'sexemplary Apriori and dynamic for different data sets. 07 30 2019 3516 3519 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3024.078219 https://www.ijrte.org/portfolio-item/B3024078219/ Russian State University of Tourism and Service, Moscow, Russian Federation. Lyubov Semenovna Morozovna Vladimir Yuryevich Morozov Russian State University of Tourism and Service, Moscow, Russian Federation. Natalia Vladimirovna Havanova Russian State University of Tourism and Service, Moscow, Russian Federation. Elena Vladimirovna Litvinova Russian State University of Tourism and Service, Moscow, Russian Federation. Marat Venerovich Arifullin Russian State University of Tourism and Service, Moscow, Russian Federation. Irina Andreevna Rozhdestvenskaya Financial University under the Government of the Russian Federation, Moscow, Russian Federation. The issue of balanced development of the labor market by expanding the services sector in the regional economy raises the question of using the social reserves of this process. This problem has been a subject of discussion for a long period and is not related only to the transition to market relations. It is in this competitive struggle that own internal social reserves, previously not consciously realized by individuals, can be most fully revealed and realized. The main issue is to identify the socio-economic basis for the formation of a competitive employee. This factor, as well as the processes of disindustrialization, are accompanied by a number of structural changes, including in the field of employment. The increase in labor productivity, the transition to more and more specialized technologies cause a significant release of labor from the mineral wealth and industrial sectors of the economy and their overflow into the services sector.In modern Russian conditions, this is all more relevant because the restructuring of the national and regional economy and post-crisis phenomena have caused significant changes in employment, while not in a positive way. 07 30 2019 3996 4000 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3026.078219 https://www.ijrte.org/portfolio-item/B3026078219/ Department of Computer Applications, Mepco Schlenk Engineering College, Sivakasi, India. Navin Dhinnesh ADC Sabapathi T Department of Electronics and Communication Engineering, Mepco Schlenk Engineering College, Sivakasi, India. Currently mobile operators spend more money towards maintaining the mobile network in fsinding faults, which will degrade the cellular services. If any fault occurs in the network it must be healed automatically and made to work. This self-healing network gives solutions for fixing or helps in deciding the problems to be carried out autonomously with no human interference. Also the networks ability to recover after any failure is said to be resilience. This paper discusses the strategy of resilience of complex network, its principles and metrics of resilience. The main aim of self-healing and resilience is to heal the network automatically and the network must recover after any fault. 07 30 2019 3024 3029 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3031.078219 https://www.ijrte.org/portfolio-item/B3031078219/ M.Tech. in School of Mechanical Engineering, MIT-WPU, Pune, Maharashtra. (India) Mitank Nikunj Kapadia Prof. Pushkaraj D. Sonawane Assistant Professor with School of Mechanical Engineering, MIT-WPU, Pune, Maharashtra (India) Mr. Arvind Marhatta PDC department as Engineering Manager at Whirlpool of India LTD., Pune, Maharashtra. (India) This project is sponsored by the company Whirlpool of India Limited, situated at Ranjangaon MIDC, Pune. The company is going to launch a new model of refrigerator. In that model they have introduced VACCUM INSULATED PANEL (VIP) inside the product to reduce the heat load on compressor. The VIP of type A has been used which is having thickness of 32 mm. The product weight has been increased by 25% along with increased in door weight.ThefunctionofVIPistoprovidebetterinsulationthanany otherconventionalinsulationmaterials.DuetoadditionofVIPand increase in weight of product there will be effect on structure of refrigeration.Thepresentworkfocusesonstructural/Experimental testing of product, simulation of Freezer Compartment (FC) & Refrigerator Compartment (RC) door for door sag, analytical calculation of door sag & validating theresult. 07 30 2019 3520 3529 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3034.078219 https://www.ijrte.org/portfolio-item/B3034078219/ Dr. C.L. Metha Central Library, Misrimal Navajee Munoth Jain Engineering College, Chennai, India V. Viswanathan B. Elango Library, IFET Engineering College, Villupuram, India S. Yugapriya Former Assistant Librarian, Apollo Hospitals, Chennai, India Telemedicine is the remote delivery of healthcare services, such as health assessments or consultations, over the telecommunications infrastructure. The aim of the study is to analyze the research output on telemedicine. The publications indexed in Scopus database have been used for this study for a period of twenty five years. Retrieved data has been analyzed with various bibliometric tools such as Co-Authorship Index, Multi Authorship Index, Citations per Paper, Relative Citation Index and Relative Uncitedness Index. Highly cited publications and frequently used words in titles are discussed. Analysis reveals that 36949 publications were published in the area of telemedicine with maximum number of publications in the year 2015. Nearly 80% of the total research output has been published with co-authors. Nearly one third of the publications (32.28%) have yet to receive citations. 07 30 2019 3030 3036 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3035.078219 https://www.ijrte.org/portfolio-item/B3035078219/ Department of Mechanical Engineering, GITAM (Deemed to be University), Hyderabad, India. Mulugundam Siva Surya K. S Vepa Department of Mechanical Engineering, GITAM (Deemed to be University), Hyderabad, India. Malleswari Karanam Department of Mechanical Engineering, GITAM (Deemed to be University), Hyderabad, India. In this research a detailed study is carried out on machining parameters for turning operation on aluminium 7075 with high speed steel. This grade of aluminium is known for its applications in aerospace industry and research about its machining parameters will lead to more developments in the field of production. Aim of this work is to optimize turning operation. Machining parameters viz. speed, feed and depth of cut are taken as input parameters. Material removal rate (MRR), tool wear (TWR), surface roughness (SR) are taken as output parameters and the set of optimized parameters means reduction in total production cost. The experiments are planned using Taguchi’s L9 orthogonal array. Grey relational analysis (GRA) is used for multi objective optimization using grey relational grades. Application of analysis of variance(ANOVA) helps in the identification of most prominent parameters among speed, feed and depth of cut. 07 30 2019 5682 5686 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3038.078219 https://www.ijrte.org/portfolio-item/B3038078219/ School of Computing SASTRA Deemed University, Thanjavur, Tamil Nadu, India. L. Gowri Dr.K.R. Manjula School of Computing SASTRA Deemed University, Thanjavur, Tamil Nadu, India. In recent decades, cloud image classification has become a research hotspot in the field of weather forecasting. Initially, cloud images that fall on various climate zones are categorized based on their regions. Dimensionality reduction is performed in the cloud images by applying Principal Components Analysis (PCA) to enhance the classification accuracy of cloud images. The proposed system uses the training set to learn the features of cloud images and classifies the test case images into low, medium and high. The experimental results are obtained by implementing the INSAT weather image data set using MATLAB tool. The proposed methodology can be used in various applications like Rainfall Prediction, Oceanography and Cyclone Forecasting. 07 30 2019 3288 3293 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3043.078219 https://www.ijrte.org/portfolio-item/B3043078219/ Associate Professor CSE, SET, Sharda University,Greater Noida, UP. Dr. Sudeshna Chakraborty Dr. Niranjanamurthy M Assistant Professor in the department of Computer Applications, M S Ramaiah Institute of Technology, Bangalore Mr. Nitin V department of Computer Applications, from M S Ramaiah Institute of Technology, Bangalore Mr. Pradeep H G Assistant Professor, JSS College for Women(Autonomous), Mysore-09, India. This android application implementation is for those who are searching for Flats/Houses according to their respective criteria. In a fast growing city like Bengaluru, Real Estate is a booming platform. Proprietor can post the available Flats/Houses on the application with complete details about property and other important information. Customers can visit the application, search for specific, sort based on amount. Customers can download the PDF of the available broachers which removes the hassle of visiting the place in person and receiving the broachers manually. Customers can also send feedback. Provided feasible solutions using Android. 07 30 2019 5157 5162 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3044.078219 https://www.ijrte.org/portfolio-item/B3044078219/ Assistant Professor in the school of civil engineering at Rajeev Gandhi Memorial College of Engineering and Technology. Gandla Nanabala Sreekanth Shaik. Ruksana pursuing M.Tech in Structural Engineering from Rajeev Gandhi Memorial College of Engineering and Technology, NANDYAL, A.P. During past decades the concrete has been developed by low water-cement ratio, addition of superplasticizer etc to improve the properties and lifetime of a structure. Despite of the imporved properties it introduces the shrinkage which leads to cracks and reduces serviceability and durability of structure or material. Therefore the study of shrinkage becomes a challenge. In this study, the autogenous shrinkage of concrete mixtures at early age is modelled using analytical models for different water-cement ratios for different ages. The main objectives of the study are review of literature on autogenous shrinkage of concrete, comparative study of different models for autogenous shrinkage of concrete using experimental data available in literature, Identification/development of an analytical model for prediction of autogenous shrinkage of concrete, and probabilistic analysis of the autogenous shrinkage are discussed. 07 30 2019 3530 3540 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3047.078219 https://www.ijrte.org/portfolio-item/B3047078219/ Phd Scholar Computer Science & Engineering UIT, RGPV, Bhopal, (M.P.) India. sManish Agrawal Dr Asif Ullah Khan Professor Department of CSE TIT-(E), RGPV, Bhopal, (M.P.) India. Dr Piyush Kumar Shukla Assistant Professor Department of CSE UIT, RGPV, Bhopal, (M.P.) India. The stock market is highly volatile and complex in nature. Technical analysts often apply Technical Analysis (TA) on historical price data, which is an exhaustive task and might produce incorrect predictions. The machine learning coupled with fundamental and / or Technical Analysis also yields satisfactory results for stock market prediction. In this work an effort is made to predict the price and price trend of stocks by applying optimal Long Short Term Memory (O-LSTM) deep learning and adaptive Stock Technical Indicators (STIs). We also evaluated the model for taking buy-sell decision at the end of day. To optimize the deep learning task we utilized the concept of Correlation-Tensor built with appropriate STIs. The tensor with adaptive indicators is passed to the model for better and accurate prediction. The results are analyzed using popular metrics and compared with two benchmark ML classifiers and a recent classifier based on deep learning. The mean prediction accuracy achieved using proposed model is 59.25%, over number of stocks, which is much higher than benchmark approaches. 07 30 2019 2297 2305 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrteB3048.078219 https://www.ijrte.org/portfolio-item/B3048078219/ Assistant Professor, School of Management Sciences, Apeejay Stya University, Gurugram, India, Dr. Ranjana Gujrati Lawan A. Lawan Research Scholar, School of Management Sciences, Apeejay Stya University, Gurugram, India Dr. Esha Jain Assistant Professor, School of Management, The NorthCap University (Formerly ITM University), Gurugram, India. Dr. Varuna Tyagi Associate Professor, School of Management Sciences, Apeejay Stya University, Gurugram, India, This study aims to measure the entrepreneurial intention of Nigerian undergraduates with interest in the predictive capacity of subjective norm. By using the theory of planned behavior, a self-developed questionnaire-based survey was employed. Three hundred and forty-two undergraduates participated in the study. They were selected from six universities across the three geo-political zones in the Northern part of Nigerian, using multi-stage stratified random sampling technique. Pearson Product-Moment Correlation along with Hierarchical Multiple Linear Regression have been used for data analysis purpose. The study finds that all the three antecedents of intention, as mentioned in the theory of planned behavior (attitude, subjective norm, and perceived behavioral control) are significant predictors of entrepreneurial intention. The important finding throws light that only about 20% of the variance could have been explained by the used model. Therefore, the study argues that other factors like entrepreneurship education, improved business scenario etc. may be the other possible factors of predicting the intention. Further, the results uniquely showed that subjective norm is the second most significant predictor in explaining the entrepreneurship intention of Nigerian undergraduate after entrepreneurial attitude. This may be attributed to the collectivist culture of Northern Nigeria from where the samples have been collected. Practical implications of the study have been discussed. 07 30 2019 6220 6226 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3049.078219 https://www.ijrte.org/portfolio-item/B3049078219/ Research Scholar, Department of Civil Engineering NIT Patna. Pappu Kumar Dr. Anshuman Singh Associate Professor National Institute of Technology, Patna. In this paper, the solution of the advection-dispersion equation with different sorption values is used for the prediction of solute concentration in groundwater. Sorption process in the groundwater is complex, due to increasing the groundwater pollution the effect of different chemical transport plotted. The fate and sorption process of different chemical different degradation constant. We used the analytical solution to evaluate the transport phenomenon and analysis of the chemical dissolved in groundwater. The solute transport model simulated with the analytical solution and final result obtained using MATLAB software. The solution of a test problem based on the sequential degradation of the different chemical in the groundwater. This solution of equilibrium and rate of sorption dynamics of processes is imperative for accurate fate and transport modeling. The present study shows the effects of advection, dispersion/diffusion, and sorption equation on the saturated media of soil. MATLAB software used for analyzing the solution of groundwater and showing the different case taking care of saturated aquifer and with different void ratio of soil its shows that the soil parameter is also impotent parameter and its effect can see in plot between concertation vs time. The solute transport model simulated with the analytical solution and final result obtained using MATLAB software. The solution of a test problem based on the sequential degradation of the different chemical in the groundwater. This study compares the solute concentration with respect to distance and its different hydraulics conductivity of dense sad and lose. 07 30 2019 3541 3544 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3050.078219 https://www.ijrte.org/portfolio-item/B3050078219/ Professor in the department of Civil Engineering & Coordinator-Evening College. Dr. K.C. Manjunath Rakesh G K pursuing M. Tech degree in Hydraulics Engineering from National Institute of Engineering (NIE), Mysuru, Karnataka, 570008, India. There is an increase in scarcity of water with rapid population increase in urban areas giving reason for concern and the need for appropriate water management practices. Greywater recycling is emerging as a new trend in water management practices. Initiatives by the Urban Local Bodies (ULBs) have resulted in attempting the greywater recycling in urban areas, flats and apartments and also in individual houses. A rational design is not available for greywater recycling unlike domestic wastewater. Hence, a study was taken in National Institute of Engineering (NIE), Mysuru campus to evaluate the feasibility of treating greywater using river sand and PPPR. The methodology involved designing, fabricating and installing a greywater treatment model in NIE campus. Greywater treatment system installed in NIE campus consisted of anaerobic and aerobic treatment units. The system was monitored over a period of time to check the performance. The sampling of greywater was done weekly and the samples were analyzed for different water quality parameters like pH, TDS, TSS, BOD, COD, turbidity and nutrients. The greywater treatment system with river sand and PPPR as anaerobic and aerobic filter media was effective in removing the turbidity, TSS, COD, BOD and nutrients from the greywater samples to significant extent. It has shown moderate efficiency in removing TDS compared to other parameters. 07 30 2019 3293 3296 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3051.078219 https://www.ijrte.org/portfolio-item/B3051078219/ Kazan (Volga Region) Federal University, Russia, Tatarstan, 420008, Kazan, Kremlyovskaya Street, house Rafail Asgatovich Nurullin The subject matter of the paper is a philosophical analysis of the civilization-cultural development strategy Society 5.0. The strategy emerged from the idea of the Japanese government formulated in 2016. A critical analysis shows that this development program contains systemic contradictions and risks. Nevertheless, the idea seems to be achieving the goals of modern humanism in the conditions of information civilization development. The research methodology stems from the principles of consistency, complementarity, fractality and the dialectics of the concepts which are as follows: culture and civilization, linear and nonlinear development, etc. There is much evidence that today the integration of mankind has become global. The process leads to, firstly, the changes in the scales of human subjectivity, and secondly, the attitude of man to chance and need. All these characteristics are fraught with threats to the holistic existence of mankind, and the possibility of people’s coming out of the crisis to the new levels of development. Private culture, which previously served as a powerful integrator of society, is losing the opportunity to carry out an ideological, and as a result, educational function in the conditions of an informational civilization. The transition of humanity from the monocultural to the multicultural way requires of relations between culture and civilization being based on the principles of complementarity. The construction of humanity as a self-organizing system is possible only through the management of civilization processes through culture, i.e., through the spiritual improvement of the human person. Evidence suggests that the principles laid down in the Society 5.0 development program do not meet these requirements. The program aims to implement the principle of positive feedback, as it tries to solve global problems of civilization with civilization practices. Theoretically, the achievement of harmonious relations between civilization and culture becomes possible on condition of the principle of complementarity. However, this principle also implies the rule of negative feedback. 07 30 2019 4001 4004 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3052.078219 https://www.ijrte.org/portfolio-item/B3052078219/ Department of the Accounting, Analysis and Audit, Financial University under the Government of the Russian Federation A.M. Petrov E.V. Nikiforova Department of the Accounting, Analysis and Audit, Financial University under the Government of the Russian Federation N.P. Kiseleva Department of the Accounting, Analysis and Audit, Financial University under the Government of the Russian Federation S.N. Grishkina Department of the Accounting, Analysis and Audit, Financial University under the Government of the Russian Federation O.V. Lihtarova Department of the Accounting, Analysis and Audit, Samara State University of Economics The importance of statistical data disclosed in the reporting on the sustainable development of economic agents under unstable economic conditions is revealed in the article. The principles and methods of preparing the reporting on the sustainable development of economic agents are defined. The fundamental principle of sustainability in development is the requirement of compliance with the sustainability criteria in operation. According to the concept of sustainable development for economic agents, it is necessary to form ways of long-term strategic development in order to increase the business value taking the requirements of the socioeconomic and environmental responsibility into account, which prioritizes provision of such information as statistical data for conducting research. The involvement of economic agents in the concentration of sustainable development by creating the reporting for stakeholders will allow society to achieve the greatest effect from the activities of such business entities. 07 30 2019 4005 4012 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3053.078219 https://www.ijrte.org/portfolio-item/B3053078219/ Financial University under the Government of the Russian Federation, Moscow, Russia. Svetlana Nikolaevna Polenova Natalya Anatolyevna Mislavskaya Financial University under the Government of the Russian Federation, Moscow, Russia. Lyudmila Viktorovna Sotnikova Financial University under the Government of the Russian Federation, Moscow, Russia. Marina Nikolaevna Ermakova Financial University under the Government of the Russian Federation, Moscow, Russia. Economic entities taking diverse managerial decisions rely primarily on enterprise information system data, including accounting. The purpose of this article is to examine the issues of generating reliable and useful information in Russian accounting and reporting during the use of advanced technologies of accounting process automation, and to justify the possible ways of their solutions. Scientific developments in the field of modern information technologies, accounting and reporting have served as a methodological and theoretical basis of the work conducted by the authors. The methods of generalization, analysis, synthesis, detailing, and grouping have become the special methods of research and analysis. The obtained results have allowed to explain the problems to be solved: the qualification level of experts, ethical and moral component in the accounting profession, the unreliability and inadequacy of accounting information, loss of accounting data due to possible hacking of cloud servers, etc. 07 30 2019 3856 3860 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3054.078219 https://www.ijrte.org/portfolio-item/B3054078219/ Plekhanov Russian University of Economics, Moscow, Russia. Svetlana Viktorovna Panasenko Ibragim Agaevich Ramazanov Plekhanov Russian University of Economics, Moscow, Russia. Elena Aleksandrovna Mayorova Plekhanov Russian University of Economics, Moscow, Russia. Alexander Fedorovich Nikishin Plekhanov Russian University of Economics, Moscow, Russia. Tatyana Ivanovna Uryaseva Plekhanov Russian University of Economics, Moscow, Russia. The purpose of the study is to rank the Russian regions by the technological development of retail trade. The components of the technological development of retail trade are justified in the article; a method for calculating particular and general indicators of the technological development of retail trade in the region is proposed; the Russian regions are ranked based on the proposed indicators, the regions are grouped by the level of technological development of retail trade; and the regions representing "best practice", as well as the regions that require the improvement of trading technologies are revealed. The ranking outcomes indicated that trading technologies in the regions of Russia were developed unevenly and insufficiently in most regions. The online trading development is the most relevant area of the technological development of retail trade in the Russian regions. Out of the leaders in the ranking, the Tomsk and Novosibirsk regions demonstrate the best practices of the technological development of retail trade, which can be used in other regions of Russia. The regions of Russia that require the improvement of trading technologies primarily include the Republic of Dagestan, the Chechen Republic, the Republic of Sakha (Yakutia), the Republic of Buryatia, the Karachay-Cherkess Republic, the Republic of Kalmykia, the Republic of North Ossetia-Alania, the Sakhalin region, and the Kabardino-Balkar Republic. Besides, Sevastopol and the Republic of Ingushetia are the problem regions. 07 30 2019 4087 4094 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3056.078219 https://www.ijrte.org/portfolio-item/B3056078219/ Moscow State Institute of International Relations (MGIMO University), 76, Prospekt Vernadskogo, 76, Moscow, 119454, Russian Federation Russian Presidential Academy of National Economy and Public Administration (RANEPA), 82, Vernadsky Prosp., Moscow, 119571, Russian Federation Mihail Nikolaevich Dudin Elena Anatolievna Reznik Russian Presidential Academy of National Economy and Public Administration (RANEPA), 82, Vernadsky Prosp., Moscow, 119571, Russian Federation Valery Nikolaevich Alferov Financial University under the Government of the Russian Federation (Financial University), Leningradskij prospekt, dom № 49. Moskva, 125468, Russian Federation Nataliya Vladimirovna Vysotskaya National Research University Higher School of Economics (HSE), 20 Myasnitskaya str., Moscow, 101000, Russian Federation; Russian University of transport (RUT (MIIT), Obraztsova str, d. 9, p. 9, Moscow, 127994, Russian Federation Igor Aleksandrovich Moshkin Moscow Metropolitan Governance University, Sretenka, 28, Moscow, 107045, Russian Federation The aim of the study is to simulate the probability of occurrence of economic risks in industrial enterprises using trees of logical possibilities, and the subsequent ability to manage them. To solve the set goal, the method of expert survey was used. The expert evaluation was carried out by the ranking method to determine the probability of occurrence of each of the economic risk components. The expert evaluation involved executives of industrial enterprises and managers of commercial banks. According to the research results, the risk assessment of an industrial enterprise should be focused on the study of the impact of primary economic risks. This can be done by building a tree of logical possibilities (usually called also logic tree) of occurrence of industrial, commercial, and financial risk components of the industrial enterprise. Visualization of the study using trees of logical possibilities along with conducted expert survey will help to establish quickly and clearly the levels of risk components and predict the state of the enterprise based on the actual circumstances. 07 30 2019 4095 4100 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3057.078219 https://www.ijrte.org/portfolio-item/B3057078219/ School Of Civil Engineering, SASTRA Deemed To Be University, Thanjavur, Tamilnadu, India. Prasanna kumar I Rathinakumar V School Of Civil Engineering, SASTRA Deemed To Be University, Thanjavur, Tamilnadu, India. Construction industry plays as a major sector In India. Among the various management system in project, Risk management system plays as a vital role. Risk management involves in various stage (i.e.) Identification, Estimating, planning and development. So in order to know the influential factors that concern in implementation of risk, a study must be made. Thus, pilot study is conducted to find the factors. A face to face interview is conducted to improve the efficiency of questionnaire. The responses are collected from the building professionals (contractors, engineers, architects, etc.) with the questionnaire containing 45 factors and used for analysis. The analysis process is done with the help of SPSS and AMOS software for collected sample. Based on the result a hierarchy of factors is created and prioritization of factors is done. Preventive measures are listed to minimize the degree of risk to a limited value 07 30 2019 3297 3300 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3058.078219 https://www.ijrte.org/portfolio-item/B3058078219/ Department of Computer Science, Sree Saraswathi Thyagaraja College, Pollachi, India. Suresh Kumar R Dr.Renugadevi M Department of BCA, Sri Krishna Arts and Science College, Coimbatore, India. Autistic Spectrum Disorder (ASD) is a brain developmental disorder which weakens the ability to communicate and interact with others. A child with autism spectrum disorder may have different, repetitive patterns of behaviour, interests or activities, including some specific signs. To diagnose the behaviour of ASD and identify the level of disease on the human is still a challenging task for the doctors. Only by the trained and experienced physician can identify the ASD immediately. The data set for autism problem consist of number of causes and the results based on the symptoms for ASD. So, Data mining algorithm is in need to organize and pattern the ASD details. The machine algorithms are available to classify the data in data mining works. In this proposed work, a machine learning algorithm called Support Vector Machine is used to classify the ASD children accurately. SVM is one of the classification algorithms which finding the hyper plane that maximizes the margin between the two classes. Though SVM give better identification of disease, some children have their unique nature which hides their problem of ASD easily. So, to diagnose the problem accurately, the user defined SVM parameters are tuned by optimization algorithm called Differential Evolutionary Algorithm. DE is an optimization algorithm used to find the optimal solution of SVM parameters. Further, to improve the performance of the proposed method, the dimension reduction technique is followed to reduce the SVM and ANN network dimension. The Sequential Feature Selection (SFS) method is applied in this paper, which select the most influenced variables for the output. The reduced network is further classified by ANN and SVM model. The Data set for the ANN and SVM network has been taken from the real records of the multi-specialty hospitals. The SVM and DE optimized SVM results are compared with another classification model called Artificial Neural Networks. The test results show the betterment of DE optimized SVM which give the classification of ASD child very accurately compare with ANN and DE optimized ANN. 07 30 2019 3861 3870 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3063.078219 https://www.ijrte.org/portfolio-item/B3063078219/ PG student, Department of Civil Engineering, Manipal institute of technology, Manipal, Udupi, India. Geetha Dr. Kiran Kamath Professor, Department of Civil Engineering, Manipal institute of technology, Manipal Academy of Higher education, Manipal, Udupi, India. The present work focus on the effect of podium structure of single tower structure connected by a common podium at the interface level under seismic load. For this purpose, the simulation model with varying tower height and podium height is created in the ETABs and it is analyzed for the equivalent static and response spectrum method. In this study, the effect on the top displacement of the tower connected with podium structure under equivalent static and response spectrum method of analysis is observed. The backstay forces that are developed to resist the lateral overturning actions at the interface when the lateral horizontal forces are transferred from the tower to the podium are studied. The unfavorable effect of podium on the shear force distribution at and above the interface level of the structural wall is observed. The positioning of the tower on the podium structure is found to be the reason for the differential displacement between the structural walls. 07 30 2019 3545 3551 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3065.078219 https://www.ijrte.org/portfolio-item/B3065078219/