-3dc97f3d182b6b0ed3d-59eb 20220922033905147 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 Academy of Postgraduate Education FSBI FCMC FMBA of Russia, Moscow Russia. Vladimir Vladimirovich Nikiforov Nikolay Petrovich Istomin Academy of Postgraduate Education FSBI FCMC FMBA of Russia, Moscow Russia. Sergey Sergeevich Zenin Moscow State Law University named after O.E. Kutafina (MSLA), PKU NII FSIN of Russia, Moscow, Russia. Sergey Sergeevich Zaikin Moscow State Law University named after O.E. Kutafina (MSLA), PKU NII FSIN of Russia, Moscow, Russia. Catherine Ilinichna Suvorovа Joint Stock Insurance Company "Alliance", Moscow, Russia. George N. Suvorov Academy of Postgraduate Education FSBI FCMC FMBA of Russia, Moscow Russia. This article considers the practical importance of genetic research results when developing an insurance product. The modern science, which allows obtaining information not only about the current state of health, but also about the risks of various diseases, challenges the possibility of using genetic information in insurance. The main goal of the study is to consider the possibility to use genetic information when concluding a personal insurance agreement for assessing the risks of an insured event, taking into account long-term obligations of insurance companies. The methods of collecting and studying singularities, generalization methods, scientific abstraction methods, and method of inquiry into regularities were used in the article. It has been concluded that it is necessary to use a differentiated approach when using genetic information in insurance. Full protection against genetic discrimination requires to completely prohibit insurance companies to use any information about genes, gene products, or inherited characteristics as a basis for refusing or limiting insurance coverage. The only area where it is allowed to use genetic information is medical insurance because it is impossible to postulate the right to life insurance without genetic testing if the agreement provides a broader insurance coverage. In order to maintain a balance of interests between insurants (insured persons) and insurers, it seems acceptable to use genetic information when concluding voluntary life and health insurance agreements that, above all, provide annuity payments. It is necessary to use genetic information in insurance when assessing the risks of real occurrence of a genetic disease. This approach will allow to practically minimize risks of insurance companies and to take into account the interests of an insured person. 07 30 2019 4123 4127 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3098.078219 https://www.ijrte.org/portfolio-item/B3098078219/ The Perm Institute of The FPS of Russia, Perm, Russia. Irina Vladimirovna Tsarenko Anna Alexandrowna Urasova Perm State University, Perm, Russia. Dmitry Arkadyevich Balandin Perm branch of IE UB RAS, Perm, Russia. Alexander Nikolaevich Pytkin Perm branch of IE UB RAS, Perm, Russia. Labor resources are among the most active elements that have significant impact on the socioeconomic development and define the specifics of the region and its territories. The socioeconomic sustainability of the region depends on how professionally the protection of rights and legitimate interests of workers is regulated for the development of labor resources, including personnel training and promotion of employment. The need to develop and implement new mechanisms for regulating labor resources does not raise controversy among the majority of Russian researchers. Many Russian scientists associate labor resources with the socioeconomic development of the region, since they are located in certain territories, and their efficient use is vital for the region's economy. Due to this, it can be stated that the theoretical and practical significance of the research into the socioeconomic development of the region based on the regulation of labor resources seems relevant and reasonable. In this article, the authors have made an attempt to develop a method for evaluating the impact of labor resources on the socioeconomic development of the region based on the statistical analysis. 07 30 2019 4128 4135 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3099.078219 https://www.ijrte.org/portfolio-item/B3099078219/ Studying Master of Technology, Department of Computer Science and Engineering, V R Siddhartha Engineering College Vijayawada. Vengoti Bhargavi D.Rajeswara Rao Professor,, Department of Computer Science and Engineering, V R Siddhartha Engineering College, Vijayawada. Vehicle detection provides the facilitation of traffic planning and management. It also helps in finding suspected and stolen vehicles. Although it has many applications, it is a very complex problem due to variations in vehicle type and size. As the amount of vehicle types are very high the models find it hard to classify the correct type of the vehicle. In this paper, we are proposing a vehicle detection model based on YoloV3 convolutional neural network architecture with custom backbone. Our proposed backbone in the Yolov3 architecture helps classify the different types of vehicles accurately. This makes the classification of the images at pixel level and predicts the regression based ROI bounding box for the classified vehicles in the images. The model contains features extracted at different kernel sizes to find the features at multiple scales which will then be concatenated. Experiments were performed on the Kitti vehicle detection dataset have shown the superior performance of our proposed model. 07 30 2019 3176 3180 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3103.078219 https://www.ijrte.org/portfolio-item/B3103078219/ Department of Mechanical Engineering, Koneru lakshmaiah Education Foundation, Guntur, AP, India P.S.Prema Kumar Dr.G. Rambabu Department of Mechanical Engineering, Andhra University College of Engineering, Visakhapatnam, AP, India. Out of all the service sectors, health care sector is one of the essential sectors. As the population is increasing day by day, there is lot of demand for the health care service providers from the birth to till the end of the breath of mankind. So, patients are looking towards the good healthcare service provider. This paper explains how to measure the service quality of health care sectors by using six dimensions based on the past research. They are safety and security, tangibles, responsiveness, assurance, empathy and reliability. Data was collected from the patients using a survey questionnaire. Factor analysis was done for the variable’s reliability and convergence validity. Relative weight analysis also carried out to determine the priority of the service quality dimensions. 07 30 2019 2714 2717 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3105.078219 https://www.ijrte.org/portfolio-item/B3105078219/ Mechanical Engineering, Pillai College of Engineering, Mumbai, India. Prashant S. Babar Prof A. G. Shaligram Mechanical Engineering, Pillai College of Engineering, Mumbai, India. Organic Rankine Cycle (ORC) system is used to extract the waste heat from low to medium temperature heat source. The ORC system works as a reverse process of refrigeration. It has the four basic components of Condenser, Refrigerant pump, Evaporator and the Expander. The waste heat is absorbed in the Evaporator and the energy gained is used to rotate the expander which generate the power. The Expander used in the ORC are of different types like the scroll, Screw, Rotary, Turbo. Various refrigerants are used as the working fluid in the ORC system depending upon its physical and thermodynamic properties like R134a, R245fa etc. R245fa is currently used refrigerant in the ORC system. In recent research and development of the refrigerants, R1233zd(E) is also having suitable properties to be used in the ORC system. This refrigerant has zero ODP and very low GWP. This research work includes the analytical and the CFD analysis over the working fluid in the Scroll Expander of the ORC system. The working fluids considered for the analysis is R245fa which currently has a wide usage, and another is R1233zd(E) which has the suitable properties for ORC and is a green refrigerant. A specification for ORC system is considered and the p-h chart is plotted on the refrigerant charts for R245fa & R1233zd(E). The Scroll Fluid Geometry is drafted using ANSYS Design Modeller & Mesh. The Analytical & CFD analysis method is used to find the Force, Torque & Power output parameters for both the refrigerants under consideration at different operating angular positions. The results projected using the Analytical & the CFD method is almost similar with slight variation. The efficiency and the power output using the refrigerant R1233zd(E) is slightly less in comparison with the refrigerant R245fa. Considering the power output results from the scroll expander with both the working fluid under analysis, the refrigerant R1233zd(E) is a good alternate working fluid over the refrigerant R245fa in the ORC system with its Zero ODP and low GWP with a slight compromise over the power output from the ORC system. 07 30 2019 5687 5693 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3106.078219 https://www.ijrte.org/portfolio-item/B3106078219/ Assistant Professor. Indira Gandhi University Meerpur (Rewari). Haryana (India), Dr. Reena Hooda Dr. Deepak Dhaka Faculty, BPSMV Khanpur Kalan,Sonipat. Haryana (India). Judo is technical combating game that is based on the biomechanical practices and lies in the category of most probable traumatic &injurious games. Judo is all about throwing the opponent to win the bout. Uke (defender) continuouslymake efforts to defend himself from being displaced or to take advantage of Tori’s (attacker) body weight shifting by counter attacking through reversing the transferred force back to Tori with added strength and misbalanced him. As a defender, Uke try to avoid the back fall as this leads to loss of bout completely. This unusual evasion greatly invites the Judo trauma as a result of sudden twisting of Uke body in avoiding back fall. The injuries like abrasion, sprain or muscle strain are common during practices and are temporary. The major injuries like spine & head injuries that can cause the paralysis or memory loss and breakage ofHumerus (upper arm of shoulder) or disjoint of tibia in knee, elbow damage can spoil the carrier of Judoka as he cannot fight back in original form after such injuries. Therefore a prudent observation of probable injuries, their classification and association with Judo techniques is quite significant. Bayes’ classification can easily predict that which class of techniques like hip techniques, hands or legs techniques, throwing techniques, joint lock techniques or the choking techniques is more prone to particular set of specified injuries while playing by males or females under 3 categories of weight say lightweight, middle weight and high weight. Such study is beneficial to Judokas and coaches to avoid possible injuries. For this purpose, the research paper apply Bayes’ theorem to classify the conditional probabilities of 3 different classes of Judo injuries C1, C2 and C3 by taking 17 different Judo techniques under different Judo techniques classes, for instance,Ashi-Waza, Te-Waza, Kansetu-Waza, Sutemi-Waza and Shime-Waza in training data to compute posteriori. The tatami (Judo Mat) quality to absorb the pressure & reduce the risk of Judo traumas is also highlighted. For the further scope of the study, other behavioralaspects like attitude and beliefs that influences the Judokas performance, their learning &position winning arealso reflected. 07 30 2019 3301 3307 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3107.078219 https://www.ijrte.org/portfolio-item/B3107078219/ Department of Computer Science & Engineering, Faculty of Engineering, Christ (Deemed to be University), Bangalore, India. Sincy John Ajit Danti Department of Computer Science & Engineering, Faculty of Engineering, Christ (Deemed to be University), Bangalore, India. In the recent literature, 3D face reconstruction received wide interest and has become one of the significant areas of research. 3D face reconstruction provides in depth details on geometrics, texture and color of the face, which are utilized in different applications. It supports a multitude of applications, ranging from face recognition and surveillance to medical imaging, gaming, animation, and virtual reality. This paper attempts to consolidate the research works that have happened in the history of 3D face reconstruction. Also, we try to classify the existing methods based on the input for the process. The databases used in the recent works are discussed and the performance evaluation of methods on different databases is analyzed. The challenges addressed in recent studies are mainly focused on the faster reconstruction of 3D Images, improved accuracy of reconstructed images, human pose identification, image reproduction with higher resolution. Researchers have also tried to address occlusion related problems. Passive methods, used by different researchers are analyzed and their effects on different parameters are discussed in this work. Finally, possible future areas for improvement in terms of reconstructions are presented for the benefit of researchers. 07 30 2019 2354 2364 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3152.078219 https://www.ijrte.org/portfolio-item/B3152078219/ Department of Electrical and Electronics Engineering, KLS Gogte Institute of Technology, Belagavi-590008, Karnataka, India. Rudresh. B. Magadum Dr. D.B. Kulkarni Department of Electrical and Electronics Engineering, KLS Gogte Institute of Technology, Belagavi-590008, Karnataka, India. Due to increase in the population and modernization every year there is exponential growth in the power demand followed by lack of adequate amount of power generation and out dated electrical infrastructure makes weak distribution network to handle the increased power demand. This leads to poor voltage throughout the network, more power loss, load shedding, failure of protection scheme and other power quality related issues. In this paper, optimal placement of DTC with UPFC is carried out to improve the overall efficiency of the network. The analysis is carried out on twenty four bus system using MiPower software. The obtained results are satisfactory in terms of power loss minimization and improvement of the voltage stability. 07 30 2019 3720 3725 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3153.078219 https://www.ijrte.org/portfolio-item/B3153078219/ M.E, Department of Computer Science, NITTTR, Chandigarh Jasmine Batra Dr. C Rama Krishna Ph.D. from IIT Kharagpur, M.Tech. from CUSAT, Cochin B.Tech. from JNTU Govt. College of Engg., Anantapur Security is considered as the most important feature in a Mobile Ad-hoc Network (MANET). There are different types of attacks which may affect the data transmission in MANET but Distributed Denial of Service (DDoS) attack is one of the complex and harsh worthy in a MANET. In the existing work, it has been found that the researchers have utilized Support Vector Machine (SVM) and fuzzy logic as a classification algorithm to identify the DoS attack in MANET. The problem with SVM and Fuzzy logic is that they are more complex and more time consuming mechanism to detect attackers. Also, in the existing work, Optimized Link State Routing (OLSR) routing protocol is used to find route and it is a searching mechanism which does not include the concept of trust routing table and hence the searching mechanism consumes more energy. To solve the mentioned problems, we are presenting a machine learning approach that is Feed Forward Back Propagation Neural Network (FFBPNN) as a classifier and Ad hoc On-Demand Distance Vector(AODV) routing protocol for route discovery to shield the network from Distributed Denial of Service (DDoS) attack. The MANET is trained using FFBPNN. Therefore, when malicious node appears in the network, the node is identified on the basis of the node properties like energy consumption and delay. The route is changed by discarding the malicious nodes from the route and hence the network is protected. The throughputs, PDR have been increased by 60.71%, 53.57% and delay has been reduced by 42.21%. 07 30 2019 4136 4142 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3155.078219 https://www.ijrte.org/portfolio-item/B3155078219/ Faculty of Animal Science, Universitas Gadjah Mada, Yogyakarta, Indonesia. Ambar Pertiwiningrum Agung Setianto Faculty of Engineering, Universitas Gadjah Mada, Yogyakarta, Indonesia. Supriadi Ministry of Village, Development of Disadvantaged Regions, and Transmigration, Indonesia. Margaretha Arnita Wuri Center for Development of Sustainable Regions, Universitas Gadjah Mada, Indonesia. Teguh Ari Prabowo Faculty of Animal Science, Institut Pertanian Bogor, Indonesia. In this study, we developed agro sector mapping of current condition, problems, threats, potentials, and strategic policies in rural area in East Seram, Maluku Province especially in Bula District. The aims of the agro mapping was to make food security planning in East Seram. The mapping process was conducted through literature study, observations, and data collecting through focus group discussion. The data were analyzed with descriptive analysis. We also collected the data based on 9 indicators of food security before and after 5 years of intervention in livestock program and capacity building. The data were calculated for their indicators and composite values, then analyzed to define food security improvement. Based on the data, livestock were still raised traditionally on pastures. To enhance food-security, the resilience should be built through: (1) the improvement of land productivity, including infrastructure, facilities for intensive livestock systems, and optimization of dry land’s potential; (2) water management; and (3) capacity building for communities. After the intervention, the food security level of Bula District change from priority 2 (severely vulnerable) to priority 4 (moderately vulnerable). It means building human centered community based and local resources management become important in food security strategic in rural area especially in East Seram, Maluku, Indonesia. 07 30 2019 4143 4147 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3156.078219 https://www.ijrte.org/portfolio-item/B3156078219/ Omsk State Agrarian University named after P.A. Stolypin, Omsk, Russia Natalya Gavrilova Natalya Chernopolskaya Omsk State Agrarian University named after P.A. Stolypin, Omsk, Russia Maksim Rebezov K.G. Razumovsky Moscow State University of technologies and management (the First Cossack University)», Moscow, Russia; Ural State Agrarian University, Yekaterinburg, Russia; V.M. Gorbatov Federal Research Center for Food Systems of the Russian Academy of Sciences, Moscow, Russia Daria Moisejkina Omsk State Agrarian University named after P.A. Stolypin, Omsk, Russia Irina Dolmatova Nosov Magnitogorsk State Technical University, Magnitogorsk, Russia Irina Mironova Bashkir State Agrarian University, Ufa, Russia; Federal penitentiary service of Russia, Moscow, Russia Georgy Peshcherov Federal penitentiary service of Russia, Moscow, Russia; Security Problems Studies Center of the Russian Academy of Sciences, Moscow, Russia Olga Gorelik Ural State Agrarian University, Yekaterinburg, Russia Marina Derkho South-Ural State Agrarian University, Troitsk, Russia The aim of the study is the analytical substantiation of the perspective trend – the development of specialized fermented foods. According to the stable trend of using a balanced diet for the prevention and treatment of gastrointestinal diseases (for which dairy products are enriched with probiotics), a bioproduct has been developed, the formulation of which includes cottage cheese, cream, starter cultures of probiotic cultures, berry syrup, wheat bran. Cottage cheese is prepared by fermentation of a mixture consisting of buttermilk, wheat bran and biologically active additive "Nash lecitin", a leaven based on the association of starter (probiotic) cultures Lactobacillus acidophilus, B. lactis, B. longum, Streptococcus thermophilus in an immobilized form, by nanofiltration. Its chemical composition, nutritional and biological value were studied and microbiological parameters characterizing its functional properties were determined. Cottage cheese bioproduct recommended both for mass catering and for elderly persons nutrition. 07 30 2019 2718 2722 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3158.078219 https://www.ijrte.org/portfolio-item/B3158078219/ Ph.D Candidate of Graduate School of Hasanuddin University, Makassar, Indonesia. M. Askari Zakariah Ratmawati Malaka Professor Agriculture Program of Graduate School of Hasanuddin University, Makassar, Indonesia. Amran Laga Professor Agriculture Program of Graduate School of Hasanuddin University, Makassar, Indonesia. Ambo Ako Professor Agriculture Program of Graduate School of Hasanuddin University, Makassar, Indonesia. Dangke is a White soft traditional cheese from Enrekang Regency. It have a potential to have Lactic Acid Bacteria isolate. Lactic acid bacteria could be produce a bacteriocin to inhibit pathogenic bacteria. Sample of dangke were obtained from 3 district (Enrekang, Cendana, and Bamba) in Enrekang Regency. All isolate were tested for characteristics based on Gram straining, and biochemical tested. Isolation and identification of Lactic Acid Bacteria from dangke a white soft traditional cheese were suspected to be Lactobacillus lactis, Lactobacillus bulgaricus, Leuconostoc dextranicum, and Streptococcus thermophillus. 07 30 2019 4148 4151 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3160.078219 https://www.ijrte.org/portfolio-item/B3160078219/ M.tech (Construction & Management) School of Civil Engineering, MIT- World Peace University, Pune, India. Sanket Bele Nivedita G. Gogate School of Civil Engineering, MIT- World Peace University, Pune, India. The meaning of sustainability in today’s world varies from place to place, region to region and person to person. In such a scenario the absolute or standard parameters used by various sustainability rating systems cannot stand accurate in a geographically, climatically and socially diverse nation like India. In such cases some buildings which have considerably low impact on the environment are unable to get green rating certification due to the rigidity in existing rating systems. Also occupants in different regions have contrasting perceptions about the relative importance of various sustainability indicators. The opinion of local people with idea about sustainability can be the key in defining affective sustainability practices as and local people have the minutest knowledge about their surroundings and their needs. This article attempts to identify, blend and shortlist optimum sustainability indicators in Indian context by studying the existing popular rating systems (LEED, GRIHA and IGBC). It also aims towards ranking the relative importance of the 7 major domains of sustainability indicators with help of qualitative research methodology. 07 30 2019 5163 5167 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3161.078219 https://www.ijrte.org/portfolio-item/B3161078219/ Department of Accounting and Audit, Odessa National Academy of Food Technologies, Odessa, Ukraine Nataliia Kuprina Tetiana Stupnytska Department of Accounting and Audit, Odessa National Academy of Food Technologies, Odessa, Ukraine Kateryna Vaskovska Department of Accounting and Audit, Odessa National Academy of Food Technologies, Odessa, Ukraine Olga Boyko Department of Accounting and Audit, Odessa National Academy of Food Technologies, Odessa, Ukraine Khrystyna Baraniuk Department of Accounting and Audit, Odessa National Academy of Food Technologies, Odessa, Ukraine Tetiana Markova Department of Accounting and Audit, Odessa National Academy of Food Technologies, Odessa, Ukraine. Most enterprises currently regard customer loyalty as the primary tool for increasing their competitiveness (from among non-price methods). To test the theoretical results of the study, a dynamic client base management model was developed for a enterprise in the real sector of the economy, and on the basis of this model, a strategy was found to optimally manage the enterprise's client base over an interval of 12 months, which would maximize the long-term cost of the client base. The control effect found using the gradient descent method, along with optimization of the company's expenses and improvement of the customer base's efficiency, will simultaneously allow you to control not individual clients, but groups of clients of the enterprise in accordance with the model developed in this study, adapted for groups of clients; to take into account differences in the customer behavior of customers and to track changes in the quality characteristics of the customer base. All this allows to increase the competitiveness of the enterprise significantly. 07 30 2019 3570 3575 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3162.078219 https://www.ijrte.org/portfolio-item/B3162078219/ Brawijaya University, Sekolah Tinggi Teknologi Angkatan Laut, STTAL Surabaya, Indonesia Avando Bastari Marjono Brawijaya University, Sekolah Tinggi Teknologi Angkatan Laut, STTAL Surabaya, Indonesia Moeljadi Brawijaya University, Sekolah Tinggi Teknologi Angkatan Laut, STTAL Surabaya, Indonesia Zaenal Fanani Brawijaya University, Sekolah Tinggi Teknologi Angkatan Laut, STTAL Surabaya, Indonesia This study aims to obtain a model that represents the Effect of Maritime Culture and State Policy on Maritime National Security and measures how much it affects. The relationship model is needed as a guideline in formulating marine policies based on the strength of Maritime Culture that has taken root in the history of the Indonesian nation. The method used in this study is to use the SEM (Structural Equation Model) Modeling approach which is compiled based on quantitative descriptive analysis with the aim of describing relationships between variables accompanied by significant indicators. Modeling analysis has a significant relationship between Maritime Culture (X1), State Policy (Y1) and National Maritime Security (Y4). The variable indicators used are community character (X1.1) and economic activity (X1.2), cultural activities and happiness traditions (X1.3), defense and security policies (Y1.1), economic policy (Y1.2) , Technology and education policy (Y1.3) and Socio-cultural Policy (Y1.4). National Resilience with indicators: ideological aspects (Y4.1), politics (Y4.2), economics (Y4.3), socio-cultural (Y4.4) and defense security (Y4.5). The study produced a Model with Goodnes of Fit value in the form of a suitability of the model that represented a significant relationship between Maritime Culture and State Policy towards National Resilience. The relationship formulations found were: Maritime Resilience = 0.207 * Maritime Culture, State Policy = 0.542 * Maritime Culture, Maritime National Defense = 0.813 * State Policy and Maritime National Resilience = 0.813 * State Policy + 0.207 * Maritime Culture. 07 30 2019 5168 5174 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3165.078219 https://www.ijrte.org/portfolio-item/B3165078219/ Jakarta State University (UNJ), Jakarta, Indonesia Marsiningsih R. Madhakomala Jakarta State University (UNJ), Jakarta, Indonesia Kazan Gunawan Esa Unggul University, Jakarta, At present, Indonesian Armed Force (TNI) has a basic policy on evaluating the performance of individual soldiers as stated in the Decree of TNI Commander Number KEP/1081/XII/2015 on December 21, 2015 concerning Technical Guidelines for Individual Performance appraisal. The current condition of the performance appraisal system in TNI is still general, so the system still requires additional criteria when it is carried out for performance appraisal on staff/work units under it. this study aimed to provide an analysis decision making of the program continuity based on the evaluation result’s condition of performance appraisal policy implementation in TNI logistic staff in accordance with the Decree of TNI Commander KEP/1081/XII/2015 on December 21, 2015. This study used Discrepancy Evaluation Model (DEM) and Analytical Hierarchy Process (AHP) methods. The DEM method is used to identify policy evaluation criteria. AHP method is used to give weight to the criteria and recommendation of policy outcome decision. Based on the experts’ judgement, the policy of performance appraisal program for TNI logistics officers needed to be revised or reviewed. Based on the results of the evaluation analysis, there were several sub-aspects of the criteria which needed to be revised. The results of weighting criteria according to the level of importance of policy decision making found that the terminated performance appraisal policy aspect (H-I) obtained a weight of 0.01165; the revised performance appraisal policy aspect (H-II) obtained weight of 0.3732; the continued performance appraisal policy aspect (H-III) obtained a weight of 0.2644; and disseminated performance appraisal policy aspect (H-IV) obtained a weight of 0.2459. The result of this study can also encourage the professionalism of TNI soldiers by being able to identify the extent to which officers can work. 07 30 2019 5372 5380 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3166.078219 https://www.ijrte.org/portfolio-item/B3166078219/ Department of Civil Engineering, National Institute of Technology Patna, Patna-800005, Bihar, India. Bimal Kumar Prof. Sanjeev Sinha Department of Civil Engineering, National Institute of Technology Patna, Patna-800005, Bihar, India. Hillol Chakravarty Department of Civil Engineering, National Institute of Technology Patna, Patna-800005, Bihar, India.. Cement is the principal component of cement concrete used for construction of rigid pavements and is produced by an energy intensive process. Large scale production and its subsequent utilization detrimentally contributes towards global warming. In order to cater for sustainable development, there is a need to utilize waste materials having cementitious properties as a partial substitute for cement. Fly ash is one of such waste which is being extensively used for the production of cement concrete. Concrete produced by utilizing fly ash more than fifty percent of cement is termed as high volume fly ash concrete (HVFAC). Although HVFAC facilitates utilization of large volume of fly ash, it however has the disadvantage of delayed gain in strength which limits its usage as pavement quality concrete (PQC). Contemporary literatures show the usage of various types of nanomaterials to overcome this disadvantage. The present study was carried out to investigate the influence of nano iron oxide on strength and durability properties of HVFAC. The HVFAC used in the study was prepared by replacement of fifty five percent ordinary Portland cement with F-type fly ash obtained from thermal power plant. Nano iron oxide was utilized in different percentages to improve the strength and durability characteristics of HVFAC. The strength properties of the concrete was evaluated by flexural, compressive and split tensile strength tests, whereas the durability characteristics were evaluated by density, permeability, sorptivity, ultrasonic pulse velocity and rapid chloride penetration tests. The tests were carried out at 28, 56 and 90 days age of concrete. The test result showed that HVFAC modified with 0.75% nano iron oxide by weight gave the optimal strength and durability results which were comparable with that of normal cement concrete used for construction of rigid pavements. 07 30 2019 4365 4373 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3167.078219 https://www.ijrte.org/portfolio-item/B3167078219/ Department of Electronics & Communication Engineering, Sona College of Technology, Salem, Tamilnadu, India. B. Thiyaneswaran K. Anguraj Department of Electronics & Communication Engineering, Sona College of Technology, Salem, Tamilnadu, India. R. Kandiban Cables and Diagnostics Division, Central Power Research Institute, Bangalore, Karnataka, India. N. S. Yoganthan Department of Electronics & Communication Engineering Sona College of Technology, Salem, Tamilnadu, India J. Jayanthi Department of Computer Science, Sona College of Technology, Salem, Tamilnadu, India. A tissues in the human organs is mainly due to the disease. The spread of tissue indicates the increase in disease level. The tissues and level of tissue in the organ may require for physician assessment. The proposed work is used to detect the tissue level in lungs. An early detection of tissue may leads to detect the cancer cell. The RGB color input image is converted into gray scale image. The gaussian noise is applied on the gray image. The median filter is applied to project the tissue pixels. The canny edge detection is applied on the filtered image to detect the boundary regions. The gradient magnitude operation is performed to project the edges of tissue. A watershed transform is applied on the gradient image to perform the morphological operation. A morphological area open and area close operation is performed along with reconstruction which highlights the tissue area from the lungs. Super imposing morphology with the regional maximum pixel operation is performed to differentiate tissue pixels. The tissue area is retained and all other area pixels are replaced by logic ‘0’ pixels using Otsu’s global thresholding method. The tissue portion is cropped using the OAD regions. 07 30 2019 3381 3387 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3168.078219 https://www.ijrte.org/portfolio-item/B3168078219/ Mechanical Engg. Dept., VSSUT, Burla, India. Sachidananda Padhi Minaketan Behera Mechanical Engg. Dept., VSSUT, Burla, India. Sisira Kanta Pattnaik Mechanical Engg. Dept., VSSUT, Burla, India. Saroj Kumar Sarangi Mechanical Engg. Dept., VSSUT, Burla, India. The formation of diamond thin solid film is studied by Hot Filament Chemical Vapor Deposition (HFCVD) by using different seeding powders on WC substrate. Here, we have deposited microcrystalline diamond (MCD) on SPUN cemented carbide (WC-Co) cutting tool insert using conventional HFCVD technique. The substrates were ultrasonically seeded with titanium, tungsten, molybdenum, diamond, combined diamond and tungsten powder at the same operation parameters to observe the difference in the growth of diamond by different seeding. Nucleation of diamond coating was studied after 40 minutes of coating with seeded substrate. The physical characteristics were studied by X-ray Diffraction (XRD).The Scanning Electron Microscope (SEM) was used to study the surface morphology. The diamond purity was studied with the help of Raman spectroscopy (RS). Reduction of cobalt percentage before and after pretreatment was studied by Energy Dispersive Spectroscopy (EDS). A very dense and uniform coating was deposited on the diamond powder seeded substrate. The nucleation density was found to be highest in diamond powder when compared with molybdenum and tungsten powder individually, because in initial stage the deposited material contains more sp2 content as compared to sp3 content. By using diamond and tungsten mixed powder the coating was uniform rather in case of only tungsten powder coating the discrete crystals were formed. 07 30 2019 5175 5180 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3169.078219 https://www.ijrte.org/portfolio-item/B3169078219/ Department of Computer Science, Jamia Millia Islamia, New Delhi, India. Mohd. Tajammul Rafat Parveen Department of Computer Science, Jamia Millia Islamia, New Delhi, India. Many companies which essentially required cloud computing services are still in ambivalence whether to adopt it or not. In this research paper an attention has been drawn on security of storage as a Service which is an integral part of Infrastructure as a Service which provide famous CSP, AWS. Whenever someone rent the storage from the cloud service provider, chances of its compromising can take place. Therefore it is intelligence to encrypt the data before uploading it to the cloud and more intelligently divide the data into fragments and encrypt these fragments separately and then upload on cloud. Suppose that if this data is divided into n fragments then n algorithm are required to encrypt these fragments or use single one algorithm and change its key n times otherwise if only one key will be used and someone steal this key then all fragments will be decrypted with the same key. Many algorithms like DES, AES, RSA, Elgamal and Blow Fish are there but they all are static in nature and one more weakness of these algorithms is that size of encrypted file increased. While some researchers used these algorithms in combination and some used double encryption, nevertheless nature remains static and decrypted file size increase rapidly. Now, there is a requirement to design a data sensitive algorithm which could sense data and produce different key for different data automatically. In this paper Two Pass Multidimensional Key Generation and Encryption Algorithm has been proposed which will sort the above problem. Another beauty of this algorithm is that it checks the integrity of the documents while decrypting. Out of millions or billions of characters if only one character or word is altered or removed then this algorithm will show that documents integrity has been violated. 07 30 2019 5152 5158 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3171.078219 https://www.ijrte.org/portfolio-item/B3171078219/ Electronics Division, Atomic Energy Centre Dhaka, 4 Kazi Nazrul Islam Avenue, Shahbag, Dhaka-1000, Bangladesh Md. Abdullah Al Mamun Md. Atiar Rahman Electronics Division, Atomic Energy Centre Dhaka, 4 Kazi Nazrul Islam Avenue, Shahbag, Dhaka-1000, Bangladesh Sabiha Sattar Electronics Division, Atomic Energy Centre Dhaka, 4 Kazi Nazrul Islam Avenue, Shahbag, Dhaka-1000, Bangladesh Mohaimina Begum Electronics Division, Atomic Energy Centre Dhaka, 4 Kazi Nazrul Islam Avenue, Shahbag, Dhaka-1000, Bangladesh Microcontroller based Multichannel Data acquisition system (DAS) using LabVIEW is presented. This system is facilitated by using the built-in 10-bit ADCs and digital I/Os of the microcontroller. In a typical setup for analogue voltage measurement, under program control, this system keeps on monitoring the voltage on analogue inputs and makes the digital equivalent and transfer to PC through USB port. It also allows to read digital inputs and to write digital outputs under program control by PC. The controlling program on PC was developed by LabVIEW which is used to read this input at pre-decided time intervals. The controlling program reads these values and process accordingly. Microcontroller programs are also developed and tested successfully. The DAS was successfully used to monitor analog voltage during the laboratory experiments. It is also used for reading data from a temperature sensor. The results reveal that the DAS is suitable and easy method for real time data acquisition. It is expected that this developed system may contribute in the field of automation. 07 30 2019 6538 6543 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3173.078219 https://www.ijrte.org/portfolio-item/B3173078219/ Electronics and Communication, Acharya Institute of Technology, Bangalore, India. Mr. Viswanatha V Dr.Venkata Siva Reddy R Electronics and Communication, REVA University, Bangalore, India. Dr.Rajeswari Electronics and Communication, Acharya Institute of Technology, Bangalore, India. This article presents the stability and dynamic response of open loop and closed loop control of Bidirectional buck-boost converter(BBC) using PID and PIDN controllers through transfer function model implemented in MATLAB code. In order to ensure the stability of switch mode power supplies the control loop behaviors need to be characterized. Improvement of stability of BBC using PID/PIDN compensators is demonstrated in both analog and digital domains by plotting bode plots. Step response of BBC using PID /PIDN controllers are plotted that defines the dynamic behavior of the system.PIDN compensator is proposed to maintain a healthy balance between the stability and transient behavior since both are indirectly proportional. 07 30 2019 5181 5186 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3174.078219 https://www.ijrte.org/portfolio-item/B3174078219/ School of Government, COLGIS, Universiti Utara Malaysia, Kedah, Malaysia. Nur Suhaili Mansor Helmi Zulhaidi Mohd Shafri Department of Civil Engineering, Faculty of Enginnering, Universiti Putra Malaysia, Selangor, Malaysia. Shattri Mansor Department of Civil Engineering, Faculty of Enginnering, Universiti Putra Malaysia, Selangor, Malaysia. Physical development plays a vital role in the urban area that consists of the needs of the physical structure and social process that challenges towards the improvement of the local's well-being. The research evaluates the relationship between urban development and crime pattern using spatial analysis. The research uses satellite imagery data and remote sensing technique to detected urban changes from 2000 until 2013 in Kedah, Malaysia. The result of the research is generated a spatial analysis that identified the hotspots and directional of criminal activities in the study area. The result indicated that they are a positive relationship between urban development and criminal activities, particularly violent crime, property crime and drug abuse case. The result from in-depth interview with the locals indicated that majority of locals in the study area felt unsafe with criminal activities occurring within their neighborhood and negatively impacting their well-being. Industrial and commercial area identified as the hotspot of the criminal activities in the study area. The research can help government and police department to curb the increasing number of criminal activities within the urban setting and achieved their aim to reduce criminal activities index annually. 07 30 2019 4374 4380 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3177.078219 https://www.ijrte.org/portfolio-item/B3177078219/ Hanoi Architectural University, 100000 Ha noi, Vietnam. Hong Son Nguyen Trung Thanh Pham Vietnam Institute for Bulding Science and Technology, 100000 Hanoi, Vietnam Quang Hung Nguyen Thuyloi University, Hanoi, Vietnam. In the report, the optimal design problem of flat steel frame structure in the deformed state is considered, considering the softness of “the beam-column connection pinned” with “the moments-rotation angle relationship of the connection” is nonlinear, linearized by three straight lines, the material of the structure is elastic – plastic material in ideal state and considering the P-Delta effect. Establish and solve the problem of flat steel frame structure in the form of nonlinear planning and solve the problem thanks to MATLAB 6.0 programming language. Create a specialized program to optimize the steel frame structure, the results illustrate the effect of bonding softness and P-Delta effect on the weight of steel frame structure. 07 30 2019 3576 3581 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3180.078219 https://www.ijrte.org/portfolio-item/B3180078219/ ECE,GMR Institute of Technology, Rajam, AP, India Uriti Geetalakshmi M.V.Nageswara Rao ECE,GMR Institute of Technology, Rajam, AP, India. Multipliers are playing a vital role in DSP and Neural Networks applications. Many methods have been introduced to work on multipliers that offer high speed, less power consumption and reduced area. Booth Algorithm demonstrates an efficient way of signed binary multiplication. In this paper, physical design of 12-bit radix-8 booth multiplier for signed multiplication is presented with an aim to improve the performance metrics such as power, area and delay. The performance of 12-bit radix-8 booth multiplier is compared with the 64-bit radix-16 booth multiplier. 07 30 2019 4013 4016 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3181.078219 https://www.ijrte.org/portfolio-item/B3181078219/ Research Scholar, Amity University Mumbai, India, Asso. Prof, I²IT, Hinjawadi, India. Ajitkumar S. Shitole Dr. Manoj H. Devare HoI, AIIT, Amity University Mumbai, India. This paper describes the construction of Internet of Things (IoT) enabled system which not only captures the sensors data in textual and numeric form but also performs live human face recognition to monitor physical location effectively. The dataset used in order to apply supervised machine learning algorithms is the combination of automatically captured live sensor data along with name of the human face recognized or unknown and additional manually introduced class label. Performance measurement of face recognition is done with the help of Decision Tree (DT), K-Nearest Neighbors (KNN), Naïve Bayes (NB) and Logistic Regression (LR). The results show that DT gives the best performance with respect to classifier’s accuracy; True Positive Rate, Positive Predictive Value and area under curve of Receiver Operating Characteristics (ROC) for face recognition prediction whether the recognized face is true or false. 07 30 2019 3582 3590 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3186.078219 https://www.ijrte.org/portfolio-item/B3186078219/ Department of ECE, School of Engineering & Technology, Poornima University, Jaipur, India. Parag Puranik Dr. Santosh Agrahari Department of ECE, School of Engineering& Technology, Poornima University, Jaipur, India. Dr. Ashish Panat Department of Electronics and Communication, MIT University, Pune, India. Aim: The aim is to estimate the parameters of MCI by evaluating the EEG and P-300 component of subjects. The controlled healthy and MCI patients selected for this analysis. The aim is to reveal the worsening cognition in the patients and diagnose the disease at an early stage. Method: EEG recording & P-300 measurement of 30 subjects is performed. Considering all the possibilities and artefacts 1024-point Quantitative EEG selected to perform the analysis. Results: The parameters of EEG and P-300 analysis revealed the difference between Controlled healthy and MCI group patients. Power, relative power, symmetry, coherence, phase cross spectrum, correlation were differentiated using QEEG analysis. Conclusion: The study on MCI patients discovered that the mass posterior sluggish rhythm of frequency bands dropped the alpha and beta behavior whereas the occipital movement of the alpha and beta band in the usual aging is increasing. The P-300 component used to classify MCI and Controlled healthy people. 07 30 2019 4381 4391 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3188.078219 https://www.ijrte.org/portfolio-item/B3188078219/ Research Scholar, Department of Civil Engineering, Karpagam Academy of Higher Education, Coimbatore, India. M. Harikaran N. Balasundaram Professor & HoD, Department of Civil Engineering, Karpagam Academy of Higher Education, Coimbatore, India. The increasing demand of natural resources for the concrete production has impacted the surroundings and the concern to protect these natural resources is increasing. Lately, handling and management of scrap is the primary issue faced by the countries worldwide. The waste problem is the most important problems facing the world as a source of the environmental pollution. One of the censorious wastes to be control in today is ‘waste tyre’ because; recent development in transportation has create big number of vehicles, which produce huge quantities of used tyres. Disposing such waste tyres is a critical waste management concern around the world at the moment. Various research work had been conducted in the past which had results that showed reduction in the mechanical energy of the concrete. The motive of this study is to use the reshaped waste tyre rubber as partial alteration of coarse aggregate in the concrete and to examine the outcome of providing an mooring hole of10mm in dia on the surface of the rubber gravel which makes the cement plaster to form a cylindrical mooring between the gravel and the concrete as well work as are bar to the rubber gravel thereby, increase withstanding power to failure under load which simultaneously increase the strength. The partial replacements of coarse aggregates are done at 0%, 5%, 10%, 15% and 20% by quantity of coarse gravel. The resulting concrete beams are tested for the physical characteristics of concrete. The Comparison of flexural response of beams are made with ordinary Portland cement concrete (OPCC)and Reshaped Waste Tyre Rubber Aggregate Concrete (RWTRAC)for various compositions of Reshaped Waste Tyre Rubber Aggregate replacement to coarse aggregate. Consequently the tests on RWTRAC beams of 10 % rubber aggregate replacement are conducted and results indicated that all the beams are failed in pure bending region and gives deflection nearly same as the conventional beam with the influence of the ultimate moment. Based on the observations during testing, the beams failed in pure flexural compression failure mode. Ductility factor of RWTRAC beam also showed enhanced performance when compared with the performance of conventional concrete. After testing it is inferred that till 10% of RWTRA replacement, the compressive and flexural strength of concrete is nearly same as the conventional concrete, but from 10 to 20% the strengths are abruptly fallen. 07 30 2019 4392 4395 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3189.078219 https://www.ijrte.org/portfolio-item/B3189078219/ ECE Department, VVIET, Mysore, India. Deepa P Anitha D B ECE Department, VVIET, Mysore, India. Dr. Mahesh Rao ECE Department, MIT, Mysore, India. For PCBA with through hole components, there is no easy, automated way of inspection like using AOI and AXI as employed for the Surface Mount Technology (SMT) components. As there is no such specific efficient inspection tool, till date manual inspection is the only solution for identifying defects in the Through Hole technology. Thus proposed work is defined to inspect few of the through hole component defects in an automated approach. Even though AXI is capable of detecting the Through Hole defects, it is rarely implemented due to its inaccurate results and cost. This results in increased cycle time, moderate efficiency, expensive and is very difficult to be focused for the operator on such repetitive task and that in turn affects the productivity and yield. As not much of research work has been carried out to find solution, a simple image processing technique has been tried here. In the proposed system a pattern matching technique is used for inspecting the defects like presence and absence of the Through Hole components in assembled PCB. In this work few different PCB images of same product have taken for inspection, further the inspection result is generated using LabVIEW Software. 07 30 2019 4159 4164 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3190.078219 https://www.ijrte.org/portfolio-item/B3190078219/ Department of Computer science and Engineering, Methodist College of Engineering and Technology, Hyderabad, India. Kura Shailaja Puligadda Veereswara Kumar Department of Computer science and Engineering, Osmania University, Hyderabad, India. Sarvadevabhatla Durga Bhavani Department of Computer science and Engineering, Jawaharlal Nehru Technological University Hyderabad, Hyderabad, India. Semantic web data use as a unified data model in various areas, such as Bioinformatics, media data, Wikipedia, social networks, and government open data. Sharing information among people using semantic web helps to understand and manipulation of information. In the semantic web, the Resource Description Framework (RDF) denotes the linked data. The logical data is represented as RDF model to manage the unformatted data and it provides an ability to machine interpretability of data. The major problem on the web is to handle the large volume of the data that also has other challenges like query processing and optimization over widely distributed RDF data. In this research, the Teacher Learning based Optimization (TLBO) algorithm is proposed for the query optimization to reduce query cost, and optimize the computation time of the query. The TLBO technique select the suitable location and size of the population based on the data that effectively provide the solution for the distributed data i.e.., triple pattern of semantic web. The experimental result showed that the TLBO in query optimization performed well in the manner of query computation time compared to existing methods like MARVEL. Additionally, the results showed that the proposed TLBO model achieved nearly 4.93 seconds for executing the multiple queries in LUBM dataset. 07 30 2019 5381 5389 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3191.078219 https://www.ijrte.org/portfolio-item/B3191078219/ graduated G Research Scholar, Refrigeration and Air conditioning, Mechanical Engineering, JNTUA College of Engineering, Ananthapuramu, Andhra Pradesh, India. Bala Kartheek Dr.Smt.G. Prasanthi Professor of Mechanical Engineering and Director, Faculty Development & IQAC, JNTUA, Ananthapuramu, Andhra Pradesh, India. In today's world, refrigeration systems have shown significant applications in both industrial and domestic sectors. The majority of the domestic sector refrigerators work on vapour compression system. The leakages of widely used hydro fluorocarbon refrigerants from refrigerator show a severe impact on the environment like global warming, ozone depletion, etc. In order to overcome these problems, eco-friendly refrigerants like hydrocarbons, their Mixtures, etc. are to be used in place of HFCs. in this experiment, the HC Mixture of both R600a and R290 is used. HC refrigerant has negligible GWP (0-3) and zero ODP. In the domestic refrigerator, the power requirement to compressor increases with an increase in compression load. The Diffuser reduces the mechanical work required for the compressor by providing extra work to the refrigerant and nozzle enhances the Refrigeration effect by providing an increase in velocity to the refrigerant. Experiments are conducted to analyse the performance. 07 30 2019 5187 5190 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3192.078219 https://www.ijrte.org/portfolio-item/B3192078219/ Department of Mathematics, Babasaheb Bhimrao Ambedkar University, Lucknow, India. Neetu Singh Vipin Saxsena Department of Computer Science, Babasaheb Bhimrao Ambedkar University, Lucknow, India. The frequencies of the thin plate play an important role for the design of the engineering machines, naval structure, etc. Tremendous amount of the literature on the study of vibrations of rectangular and square plate are available with various kinds of the thickness variations. From the study it is observed that transcendental thickness variation has not been studied by the researchers which satisfy the boundary conditions. Therefore, the present work is the attempt in this direction. A well-known Rayleigh-Ritz method has been used for computation of the first three frequencies alongwith mode shapes and by varying the boundary conditions at the side of the plate. The convergence of the computed results has been presented through table and comparison has also been made with the existing result. 07 30 2019 4017 4030 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3197.078219 https://www.ijrte.org/portfolio-item/B3197078219/ Research Scholar, Department of EEE,NIE Institute of Technology G N S Vaibhav Dr B S Srikanthan Assoc, Prof(Retd), Department of EEE, NIE Institute of Technology The usage of Wind Energy Conversion Systems (WECS) in the standalone power systems that are increasing in the present scenario with the massive potential because of its high availability and low maintenance.Battery Energy Storage Systems (BESS) is applied to provide the voltage support in the standalone systems. Usually, Proportional Integral (PI) controller are applied for controlling the power in between the power generation and load. However, at thetime of unbalance load conditions, the performance of the PI controller is limited. In addition, with that, PI introduce steady-state errors and has restricted disturbance removalability. The conventional coordinated controllers also suffered from transient conditions at the time of dynamic load variations. To resolve these problems, this paper presents a Fuzzy logic based Proportional Resonant (PR) controller for providing better voltage support in the standalone wind power systems. As an alternative of the conventional PI controller, a PR controller is utilized in the coordinated control system. For optimizing the PR controller gain parameters, Fuzzy Logic Controller (FLC) is utilized. Performance of the proposed Fuzzy-PR controller is compared with the PI controller based coordinated controller. The outcomes demonstrate that the proposed controller delivers better DC voltage support compared with the general PI controller. Furthermore, the Total Harmonic Distortion (THD) of the presented system is very low contrasted with the standard control methods. MATLAB/SIMULINK tool is utilized to validate the system performance. 07 30 2019 5515 5524 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3198.078219 https://www.ijrte.org/portfolio-item/B3198078219/ Associate professor, Department of Computer Applications, Nehru College of Management, Coimbatore,(Tamil Nadu), India. Dr. E. Chandra blessie S. Gnanapriya Ph. D Research Scholar, Department of Computer Applications, Nehru College of Management, Coimbatore,(Tamil Nadu), India. Day by day the requirement of information for processing the sentiment analysis is getting increased multiple times. For these kind of reasons, feature selection is utilized to detect the opinion among different reviews and comments. Sentiment analysis is becoming like phenomenon due to increase of social media’s popularity. Currently, significant advancements are shown in this research domain, but still multiple challenges are to be solved – i.e., sentiment analysis in cross domains. In this paper rumbustious feature selection based genetic algorithm is proposed to address the problem of analyzing the sentiments in cross domain. It performs classification based optimistic-class and pessimistic-class. The dataset used to this research work includes books, DVDs, gadgets and kitchen appliances. Initially the features selection is performed and opinion mining is performed by Genetic Algorithm. Benchmark performance metrics are selected for measuring the performance of proposed work against existing method. Results depict that the proposed work has better performance than that of the existing work as far as chosen performance metrics. 07 30 2019 6267 6279 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3199.078219 https://www.ijrte.org/portfolio-item/B3199078219/ Electrical Engineering, Vellore Institute of Technology, Vellore, India. Pragya Sinha Kaza Mrudula Electrical Engineering, Vellore Institute of Technology, Vellore, India. Puneet Singh Electrical Engineering, Vellore Institute of Technology, Vellore, India. Subramanian K Electrical Engineering, Vellore Institute of Technology, Vellore, India This paper deals with the control of the induction motor using two different control methods: Space Vector and Sine wave pulse width modulation technique. The objective of the project is to find the most appropriate technique for induction motor control for industrial application. The scalar v/f method offers good performance only in the course of the steady-state and not under transient conditions. This important downside may be rectified by the vector control technique. The method provides high dynamic performance for velocity and torque-controlled AC machines. 07 30 2019 5191 5196 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3201.078219 https://www.ijrte.org/portfolio-item/B3201078219/ Department of Computer Science and Engineering Government College of Engineering, Aurangabad, Maharashtra, India. Anuja Ubale Assistant Prof. S. G. Shikalpure Department of Computer Science and Engineering ,Government College of Engineering, Aurangabad, Maharashtra, India. According to WHO (world health organization) colon cancer is third most commonly identified cancer in male as well as female. It is cancer of colon or rectum, located in inner side of colon wall or rectum wall in large intestine. There are different method used to diagnoses and staging of colon cancer like, colonoscopy, blood testing, biopsy method .Clear analysis of these method used for diagnose the disease. In these method some methods are time consuming if approach is manual analysis and perform on medical images. That’s the reason it required some automated, efficient and accrete machine or technique. To design such machine biopsy image analysis by deep learning play an important role to design and creation of machine that used for biopsy method diagnoses. We work on three model, CNN, VGG16 and InceptionV3 .it provide different accuracy. CNN gives 72%, VGG16 gives 71% and InceptionV3 gives 89% accuracy .Hence proposed method used to significant accuracy improvement automated diagnoses system. 07 30 2019 5694 5697 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3202.078219 https://www.ijrte.org/portfolio-item/B3202078219/ Research Scholar, Department of Mechanical Engineering, KoneruLakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, 522502, India. Rakhi Ashok Deshpande DR. P. V. RAMA RAO Professor, Department of Mechanical Engineering, KoneruLakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, 522502, India. This investigation inspects the impact of lean strategies among chose manufacturing organizations. In order to remain focused; creating cheaper products at a quicker rate Lean Manufacturing would encourage the business. In this paper we discuss about adopting lean strategies by manufacturing industries with the intention of eliminating wastes. Here we create mathematical models and a systematic methodology for choosing fitting lean strategies. The main objectives of this paper are to assess the leanness levels in manufacturing organizations. In the work we will evaluate both quantitative and subjective info factors. Different tools like MATLAB, Microsoft Access and Excel, Visual Basic, DST tool will be used for leanness assessment problems, methodologies to overcome lean strategy selection. and developing mathematical models. As a final product we endeavor to limitation the sensible disorder of executing unique lean techniques which might be used by any maker for studying leanness and separating their leanness benchmark Accordingly, we propose that assembling partnerships close by various sorts of associations (gain enterprises complete) must obtain lean thinking, acquaintance or culture with forgo inefficient practices along these lines clearing a course for incredible practices that may draw in most significant worry for the associations. 07 30 2019 6204 6210 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3203.078219 https://www.ijrte.org/portfolio-item/B3203078219/ 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. Design of a fast, improved and reliable solar Maximum Power Point Tracker (MPPT) is described in this work. The working algorithm was motivated from the existing Perturb and Observe method for tracking MPP of Solar Photovoltaic (SPV). The tracker was developed using an Arduino Uno development kit which is run by ATMega 328P microcontroller and clocked at 16MHz. Due to high frequency operation the model was fast and accurate and consumes very low power and can be driven by 5V only. Proteus 8.3 simulator was used and further a hardware model was designed in order to realize the operation. MPP was tracked very quickly and accurately in accordance with the change in solar irradiance. The tracker offered an efficiency of ranging from 96.40% -99.25% at different irradiance level. 07 30 2019 4031 4036 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3205.078219 https://www.ijrte.org/portfolio-item/B3205078219/ Department of Computer Science, Avinashilingam Institute Coimbatore, India. Manjutha Manavalan Dr. Parthasarathy Subashini Professor, Department of Computer Science, Avinashilingam University, Coimbatore, India. Dr. M. Krishnaveni Assistant Professor, Department of Computer Science, Avinashilingam University for Women, Coimbatore, India. Speech is the most unique feature of humans and it is the basic mode of verbal communication. Among all, a few people face hurdles in producing normal speech because of various types of speech disorders. Stuttering is one of the disorder types mainly characterized by repetition of syllables or words and involuntary interruption during the speech. One of the unsolved problems in the realm of fluency disorder is the level identification, based upon the patient’s utterance before and after the speech therapy. The main objective of the paper is to perform analysis of vocal tone to identify the major differences between a normal, moderate and severely stuttered speech, particularly for the Tamil spoken language. The stutter speech vocal tone analysis involves envelope detection based on Hilbert transform has been computed from the input of normal and stuttered speech waves in which by applying normalization to the spectrum and cepstrum of the obtained signal considering only Tamil syllable as input. The experimental outcomes are given as subjective evaluation in three categories of speech signals which results people affected by severe stuttering having low vocal tone than moderate and normal stuttering speech. 07 30 2019 4472 4483 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3211.078219 https://www.ijrte.org/portfolio-item/B3211078219/ Disaster Preparedness and Prevention Center, Malaysia Japan International Institute of Technology, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia. Nooradilla Abu Hasan Masa Goto Disaster Preparedness and Prevention Center, Malaysia Japan International Institute of Technology, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia. Professor Emiratus Kuniaki Miyamoto University of Tsukuba, Tsukuba, Japan. The application of X-Band Polarimetric radar (X-Band MP radar) is very effective in disaster risk management which can help professional, researchers, private and government agencies to take actions for rainfall-related disaster preparedness and prevention activities. This needs dissemination of rainfall radar data and information for developing the methods, models and applications. With the emerging Internet technologies, many web-based systems are used as a fundamental platform for gathering, processing and delivering the data or information in many fields. This paper is aimed to recognize the requirements of a web-based framework for rainfall estimation system by using X-Band MP radar. Through the systematic approach, three requirements for the proposed architecture are identified, which are the source of rainfall data, the technology involved in the system development and the features of web-based system. Those requirements are represent the whole concept of X-Band MP radar system for Malaysia. Based on the outcome of this study, a web-based system framework is proposed and the prototype of the proposed system will be developed. 07 30 2019 4165 4169 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3213.078219 https://www.ijrte.org/portfolio-item/B3213078219/ Computer Science & Engineering, University Institute of Technology, RGPV, Bhopal, Madhya Pradesh, India Ayushi Thakur Shikha Agrawal Computer Science & Engineering, University Institute of Technology, RGPV, Bhopal, Madhya Pradesh, India Rajeev Pandey Computer Science & Engineering, University Institute of Technology, RGPV, Bhopal, Madhya Pradesh, India Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTCHA) is a challenge response tactics for identifying whether intervened user is human or bot. It is a benchmark task in the field of artificial intelligence that acquires capabilities to secure a webpage or database from programmed loop. There are various ways to attempt such tests i.e. distorted text recognition, motion text recognition, picture identification, mathematical calculation and AI problems as gaming CAPTCHA. Nowadays CAPTCHA is well thought-out as a broadly employed technique which is exploited by web services to prevent their system from unusual relay attacks. It is basically a Turing test required to differentiate whether the accessed client is either a human being or a robot. CAPTCHA is a trending approach where user needs to play an artificial game which is based on some logics that can be understood by human and almost impossible for robots. Gaming CAPTCHA is trending now where user is required to understand the task and perform as it required. But dragging an object towards target area on the basis of object recognition is not a big deal either for human or bots. It is required to put some intellectual efforts that automated programs do not understand. Proposed system is able to provide highly secured technique that easily differentiates human and bots. Proposed CAPTCHA is based on situation reaction test where user is required to take fundamentally correct decision as per the situation. Situation reaction based CAPTCHA is a new and effective approach where hard AI problem proposed that only possible for human and almost impossible for bots. Robot is always weak in correct decision making especially in real life situations that is why situation reaction CAPTCHA plays an important role in the field of turing test. 07 30 2019 3726 3731 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3215.078219 https://www.ijrte.org/portfolio-item/B3215078219/ Electronics and Communications Engineering Department, De La Salle University, Manila, Philippines. Cesar A. Llorente Elmer P. Dadios Manufacturing Engineering and Management Department, De La Salle University, Manila, Philippines. Illumination is crucial in human activities and in machine vision applications. For indoor surveillance applications, Infrared (IR) Light Emitting Diodes (LEDs) are the common means of providing illumination to the camera to cause no discomfort to human occupants. While IR provides non-obtrusive illumination for the camera, the same energy consumed does not provide the illumination to indoor spaces of the building. This is important if the premises where the camera is installed is not connected to the main power source or electric grid but derives energy from renewable sources. In this work, an illumination controller based on fuzzy logic system is developed and integrated to a vision system and an LED lighting system to provide a constant level of illumination to an object regardless of its distance from the image sensor. The computer vision system performs human object detection and face recognition and outputs fuzzy values representing the inferred distance of detected objects where the fuzzy system generates crisp output of duty cycle settings for the PWM controller for the LED lighting system to provide the required illumination needed by the vision system. Optimum illumination level for the vision system to perform the detection, tracking and face recognition operations must be provided by the system. Using visible Light Emitting Diodes as source of illumination, the system provides illumination both for the proper operation of the camera and human personnel monitoring the premises where the system is installed. This feature is significant in energy-constrained surveillance applications or where there is no power source derived from the electric grid. 07 30 2019 3181 3185 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3219.078219 https://www.ijrte.org/portfolio-item/B3219078219/ Department of Mathematics, Centurion University of Technology and Management, Odisha, India Mohammed Siddique Debdulal Panda Department of Mathematics, KIIT Deemed to be University, Bhubaneswar, India The trend of stock price prediction has always been in the focal point of analytical activity in financial domain for both the researchers and investors. Prediction with accuracy is very essential for improved investment decisions that imbibe minimum risk factors. Due to this, majority of investors depend upon that intelligent trading system which generates better forecasting results. As forecasting stock market price with high accuracy is quite a challenging task for the analysts, machine learning has been adopted as one of the popular techniques to predict future trends. Even if there are many recognized analytical time series analysis that are categorized either under soft computing or under conventional statistical techniques like fuzzy logic, artificial neural networks and genetic algorithms, researchers have been looking for more appropriate techniques which can exhibit improved results. In this paper, we developed different hybrid machine learning based prediction models and compared their efficiency. Dimension reduction techniques such as orthogonal forward selection (OFS) and kernel principal component analysis (KPCA) are used separately with support vector regression (SVR) and teaching learning based optimization (TLBO) to predict the stock price of Tata Steel. The performance of both the proposed approach is evaluated with 4143days daily transactional data of Tata steels stocks price, which was collected from Bombay Stock Exchange (BSE). We compared the results of both OFS-SVR-TLBO and KPCA-SVR-TLBO hybrid models and concludes that by incorporating KPCA is more practicable and performs better results than OFS. 07 30 2019 3186 3193 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3223.078219 https://www.ijrte.org/portfolio-item/B3223078219/ Computer Science & Engineering, Dr. APJ Abdul Kalam Technical University, Lucknow, India ChhoteLal Prasad Gupta Anand Bihari School of Information Technology & Engineering, VIT University, Vellore, Tamil Nadu, India Sudhakar Tripathi Deportment of Information Technology, Rajkiya Engineering College, Ambedkarnagar, Uttar Pradesh, India In the field of computational biology, to gauge the meaningful and accurate feature for protein function predications, either the profile-based protein data or sequence-based data has been used. As we know that the prediction of enzyme class from an unknown protein is most interacted research in the current era. In this context, machine learning and statistical classification technique has been used. In this article, we have use six different machine learning and statistical classification technique such as CRT, QUEST, CHAID, C5.0, ANN and SVM for classification of 4314 number of human protein sequence data. These data are extracted form UniprotKB databank with the help of PROFEAT server. The extracted data are categorized in seven different classes. To manipulate the high dimensional protein sequence data with some missing value, the SPSS has been used for classification and estimation of the performance of classification technique. The experimental results highlight that the class C4, C5, C6 and C7 data are imbalanced that affect the overall performance of classification technique. This article provides an extensive comparative analysis of different classification technique on sequence-based protein data. The experimental analysis highlights that the SVM and C5.0 classification technique gives better result than others and can be used for protein classification and predictions. 07 30 2019 3591 3599 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3224.078219 https://www.ijrte.org/portfolio-item/B3224078219/ Mechanical Engineering, School of Engineering & Technology, Ansal University, Gurgaon, India. Somya Tiwari Dr. Neha Gupta School of Engineering & Technology, Ansal University, Gurgaon, India. Wind energy is one of the promising solution for future demand and need of energy. Main application of wind energy is in electricity sector. India is having potential for wind installation which is not yet fully explored. This paper compares the results from test rig small scale wind turbine and scale up data for different sizes of turbine as power from small size turbine was very low. A mathematical formulation for wind power is developed for finding total power from the available wind at certain speed. Three factors considered for analysis of three responses. Factors are Wind Speed, Rotor diameter and Swept area for getting response for wind power, torque and wind power density. For different wind speed and different rotor diameter wind power, torque and wind power density calculations done. Response surface method is used to design the experiments and ANOVA (Analysis of Variance) is used to analyze that experiment results are significant or not. Wind data analysis shows that wind speed gives a fairly good response in the range of wind speed 8m/s to 12m/s in practical grounds. 07 30 2019 4396 4399 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3227.078219 https://www.ijrte.org/portfolio-item/B3227078219/ Research Scholar, Department of Civil Engineering, Karpagam Academy of Higher Education, Coimbatore, India. M. Sivaraj Dr. R. Sundararajan Supervisor, Department of Civil Engineering, Karpagam Academy of Higher Education, Coimbatore, India. Dr. V. Karthik Professor, SRK Institute of Technology, Vijayawada, Andrapradesh, India. The production of cement liberates the equal amount of CO2 into the environment. This will results in various social and environmental problems. There is a need in determining the new cement materials from waste or industrial waste. Second, the extraction of natural aggregates from natural resources poses other environmental problems. So in this article, the experimental programme is conducted to determine the strength and durability performance of cement partially replaced with Metakaolin (MK) (0%, 2.5%, 5%, 7.5% and 10%) and coarse aggregate substituted by shredded plastic waste (SPW) at 0.5% by weight. The main objective of this article was limited to analyzing the strength parameters along with the durability parameters. 07 30 2019 4170 4175 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3242.078219 https://www.ijrte.org/portfolio-item/B3242078219/ Research Scholar, Department of Civil Engineering, Karpagam Academy of Higher Education, Coimbatore,(T.N.), India. V. Murugesh N. Balasundaram Professor, Department of Civil Engineering, Karpagam Academy of Higher Education, Coimbatore,(T.N.), India. The study explicates the experimental investigation of bonding properties of M30 grade concrete with and without replacement of cement by water hyacinth ash. The main parameters in this study are a grade of concrete, the diameter of the bar, embedded length and cause of water hyacinth ash. The study of the bonding strength of concrete is investigated by two stages. First stage concrete is cast and tested without any replacement. The Second stage, concrete is cast and tested with 10% replacement of cement by water hyacinth ash. The bars (10mm diameter and length 200 mm) are cast with concrete in the cylinder and cured for 28 days. Pull test out the experiment is carried by a universal testing machine. The results show water hyacinth ash enhances the bonding strength of concrete when compared to the normal concrete after 28 days. 07 30 2019 4977 4980 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3243.078219 https://www.ijrte.org/portfolio-item/B3243078219/ Research Scholar, School of Electrical Engineering, VIT University/ VIT Chennai, Chennai, Tamilnadu, India. A.Shiny Pradeepa C. Vaithilingam School of Electrical Engineering, VIT University/ / VIT Chennai, Chennai, Tamilnadu, India Power system stability is one of the major factors for the reliable operation of electric utilities. Factors resulting power system instability are the sudden increase in load or insufficient reactive power support. Efficient Voltage regulation methods enable the system to operate in a stable operating condition. Many methods reported in the literature for voltage stability assessment of the power system such as optimization method, continuation power flow method, Indices based method and Artificial Intelligence based methods. Several iterative methods are used for the solution of load flow problems. The major disadvantages of iterative methods are larger iteration and increase in convergence time which depends on size of the power system. This paper proposes new method for voltage profile assessment on distribution system using Generalized Regression Neural Network. The Power System Analysis Toolbox (PSAT) is used for Distribution power flow solution. The proposed method is tested using 52 buses, distribution system of Tirunelveli, Tamil Nadu India. The technical feasibility of the proposed method is verified by comparing the results of proposed method and PSAT. 07 30 2019 3600 3604 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3249.078219 https://www.ijrte.org/portfolio-item/B3249078219/ MCA, M S Ramaiah Institute of Technology, Bangalore, India. Kimmi Kumari Dr. M mrunalini MCA, M S Ramaiah Institute of Technology, Bangalore, India. Data Extraction is the process of mining or fetching relevant information from unstructured data or the heterogeneous sources of data. This paper aims at mining data from three different sources such as online website, flat files and database and the extracted data are even analyzed in terms of precisions, recall and accuracy. In the environment of heterogeneous sources of data, data extraction is one of the crucial issue and therefore considering the present scenario, we can observe that the heterogeneity is expanding widespread. So this paper focus on the different sources for the data extraction and provides a single framework to perform the required tasks. In this paper, healthcare data are considered in order to show the processing starting from data extraction using three different sources to dividing them in to two clusters based on the thresholds value which has been calculated using cosine similarity and finally calculations of parameters like precisions, recall and accuracy for analyzation purpose. Fetching data online is the task in which we cannot fetch simple string from any website. The backend of each page is html and hence this paper focus on extracting that html of the page while mining data from any web server. The webpage contains a lot of html tags and all of these cannot be removed because they are complex tags which cannot be removed by regular expressions. But still 60% filtered data can be attained as demonstrated in this paper as most of the waste html will be removed. While filtration of the data, we should also note that the content containing Google APIs cannot be removed. So filtered data will contain the contents and tags which does not contain Google APIs. In order to provide data security while extraction, the connection string is being used to avoid tampering of data. This paper also focuses on one of the arguable concepts present in the generation of big data which is Data Lake. In originality, the origin about the idea of Data Lake appears from the field of business. An architectural approach which is specially designed in order to store all the data which are potentially relevant in a repository located centrally is referred to as Data Lake. The data which are stored in the central based repository are fetched from the sources belonging to public as well as enterprises and these data are further used for the purpose of organization, discovery of hidden facts, understanding of new concepts, analyzation of stored information etc. Many challenges and concerns related to privacy are faced during the adoption of Data Lake as it is a new concept which brings revolutionization. This paper also highlights some of the issues imposed by Data Lake. 07 30 2019 2152 2159 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3254.078219 https://www.ijrte.org/portfolio-item/B3254078219/ School of Computing, SASTRA Deemed University, Thanjavur, Tamilnadu, India. Silambarasi. P Dr.Kiran L.N.Eranki School of Computing, SASTRA Deemed University, Thanjavur, Tamilnadu, India. Intelligent abstraction of knowledge from Social blogs has gained immense attention from Biomedical and online health communities. Healthcare re- views through public opinion platforms not only helped in improving the health- care but also reducing the costs. Advancement in digital healthcare systems enables patients access to Online Health Communities (OHC) through their views, opinions and remedial information. In the current study reviews provided by patients on OHC related to diabetes has been chosen to understand the community effort to address the health care issues of these patients. Reviews shared by patients at various levels of diabetic conditions have been selected and analyzed using LDA text mining techniques. In the current study we have also analyzed the gender specific differences among the diabetic community based on the opinions shared by them on public OHC platforms. Sample for the study has been gathered from a prominent online diabetic community in UK. Community members wrote on different topics from food habits, lifestyle, physical exercise and dis- ease symptoms to predict and possible remedial measures to be taken has been discussed in online health communities. Results of our study show that male users are information-centric than the female users, while female users are more emotionally attached as compared to males. Study also reveals several other findings related to community support and state of healthcare sector with reference to treatment, medication and facilities available to the community. 07 30 2019 3605 3609 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3255.078219 https://www.ijrte.org/portfolio-item/B3255078219/ Currently, the DEAN of the College of Engineering in AMA University. Luisito Lolong Lacatan Miah Dell Almero Currently working in Accenture PH as an Associate Software Engineer. Jasmine Bautista Currently working in Accenture PH as an Application Development Associate Charmaine Crescini Currently working in Accenture PH as an Associate Software Engineer Marsielle Essen Mae Salgado currently working as an Associate Quality Assurance Analyst at Infor PSSC Inc, Many inventions that manifest the required qualities for the improvement of the search and rescue operations are made. However, the present inventions do not cover accurate tracking of the victims which contributes to a delay during operation. Thus, a Wearable Indoor Tracking Device using Wi-Fi Positioning System with PPG Sensor and Android Application is developed to uplift the limitations of the devices present today which can resolve the delay of search and rescue operation. This project focuses on detecting the specific location of the victims which includes distance and direction from rescuer’s perspective as well as the victim's status. Moreover, the location and status of the victim can be viewed simultaneously through an Android Application. To achieve the tracking technology, trilateration technique is used. It manipulates the calculated distance of the beacons by finding their intersection. To get the measured distance the researchers use an algorithm named Free Space Path Loss wherein it converts the Wi-Fi strength into distance. For the direction, slope formula is used to determine the measured angle between the rescuer and the victim. Therefore, by making this wearable device, the search and rescue operation will increase its accuracy to 80% in finding the distance of the rescuer and the victim and by 100% in finding the direction of the rescuer from the victim. 07 30 2019 5698 5702 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3256.078219 https://www.ijrte.org/portfolio-item/B3256078219/ Research Scholar and Assistant Professor, Department of Computer Science, Martin Luther Christian University, Meghalaya, India Thingbaijam Lenin N. Chandrasekaran Visiting Professor, Martin Luther Christian University, Meghalaya, India Among several important tasks an academic institution performs, the most fundamental focus still remains very much on graduating best quality students. It then becomes of paramount importance to identify students whose performance is below par in order to help them to make them better learners. This study makes an earnest attempt to develop an automated system to tackle such a problem using a classification technique of Data Mining implemented with R programming language. Data pertaining to students’ demographic features, their previous academic records and personality traits were analyzed employing Random Forest, Naïve Bayes and K-Nearest Neighbors algorithms. The study shows that Personality, as defined by Myers-Briggs type indicator, influences the student’s performance. Random Forest is found to be the most promising algorithm for developing the students’ performance prediction system. 07 30 2019 5197 5201 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3259.078219 https://www.ijrte.org/portfolio-item/B3259078219/ Department of CSE, Sri Krishna College of Technology, Coimbatore,Tamil Nadu. Ms.A.Sunitha Nandhini Ms.R. Sujatha Department of CSE, Sri Krishna College of Technology, Coimbatore,Tamil Nadu. Ms.S. Padmavathi Department of CSE, Sri Krishna College of Technology, Coimbatore,Tamil Nadu. Recognizing text in images has received attention recently. Traditional systems during this space have relied on elaborating models incorporating rigorously hand-designed options or giant amounts of previous information. This paper proposed by taking a different route and combines the representational power of large, multilayer neural networks together with recent developments in unsupervised feature learning, which allows us to use a standard framework to coach highly accurate character recognizer and text detector modules. The recognition pipeline of scanning, segmenting, and recognition is examined and delineated completely 07 30 2019 5525 5528 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3261.078219 https://www.ijrte.org/portfolio-item/B3261078219/ Student EEE, Gokaraju Rangaraju Institute of Engineering & Technology (JNTUH), Hyderabad, India. BaiReddy Ekanath Reddy J Praveen Principal and professor, Gokaraju Rangaraju Institute of Engineering & Technology (JNTUH), Hyderabad, India. Vinay Kumar A Associate professor, Gokaraju Rangaraju Institute of Engineering & Technology (JNTUH), Hyderabad, India. This paper deals with theoretical and practical outlook related to implementation of a Digital signal processor (DSP) based on Sinusoidal Pulse Width Modulation (SPWM). For single phase inverter, sine wave is taken as reference signal and saw tooth is taken as carrier signal. It is developed by TMS320F28027 piccolo TM microcontroller with the help of simulink model. TI Texas instrument TMS320 is a blanket name for a series of DSP from Texas instrument. Through the TMS32010 processor which was faster in the DSP market and we use C2000 series microcontroller family with performance integrated peripherals designed for real – time control applications like motor drive control, industrial automation, solar and other renewable energy sources. The voltage source inverter is used in motor speed control and in solar, wind power grids. The system is verified by experimenting in simulation. 07 30 2019 4176 4180 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3262.078219 https://www.ijrte.org/portfolio-item/B3262078219/ Department of Electrical Engineering Universitas Muhammadiyah Yogyakarta Iswanto Joniq Syaftriadi Department of Electrical Engineering Universitas Muhammadiyah Yogyakarta Anna Nur Nazilah Chamim Department of Electrical Engineering Universitas Muhammadiyah Yogyakarta Rama Okta Wiyagi Department of Electrical Engineering Universitas Muhammadiyah Yogyakarta Ramadoni Syahputra Department of Electrical Engineering Universitas Muhammadiyah Yogyakarta Remote control is needed to control household appliances and office equipment from a distance by turning them on/off. This control is designed using Bluetooth connected to the circuit using an LED for light control indicator and a servo motor circuit for curtain control connected to the Arduino UNO microcontroller as a minimum system. The Arduino microcontroller is used to process command data from the input of the Android-based Bluetooth signal receiver used as the remote-control button to control the LED and rotate servo motor. This hardware is designed using the Arduino UNO module, LED circuit and servo motor. A serial Bluetooth module was used for communication between the hardware and Android smartphones. Having tested the entire tool system and the Android control application, it was found that the device and the application worked well. However, it is only able to receive the data sent from the Android application, but not able to transfer the data from the system to the Android handset. 07 30 2019 6227 6231 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3264.078219 https://www.ijrte.org/portfolio-item/B3264078219/ received his PhD degree from Bogor Agricultural University, Indonesia, Dedi Hermon Erianjoni received his PhD degree from Padang State University, Indonesia, Indang Dewata received his PhD degree from Indonesia University, Indonesia, Aprizon Putra received his M.Sc degree from Andalas University, Indonesia, Olivia Oktorie received his M.Ed degree from Padang State University, Indonesia, Knowledge about the liquefaction vulnerability in Pariaman city which is prone to an earthquake is very much needed in disaster mitigation based spatial planning. This research was conducted by analyzing the potential of liquefaction vulnerability based on the Conus penetration to produce Microzonation of the susceptibility of subsidence due to liquefaction at 4 locations in Pariaman city, i.e Marunggi village, Taluak village, Pauh Timur village and Padang Birik-Birik village. Based on the results of the analysis using this method, the critical conditions of liquefaction found in the intermediate sandy soil to solid. The fine sand layer which has the potential for liquefaction is in sand units formed from coastal deposits, coastal ridges and riverbanks. This liquefaction vulnerability zones analysis is limited to a depth of 6.00 m due to the limitations of the equipment used. The results of the analysis show that the fine sand layer which has the potential for liquefaction occurs at a depth of> 1.00-6.00 m with the division of zones, i.e 1) High liquefaction in the sandy soil layer which has a critical acceleration (a) <0.10 g with shallow groundwater surface; 2) Intermediate liquefaction in the sandy soil layer which has a critical acceleration (a) between 0.10-0.20 g with shallow groundwater surface; and 3) Low and very low liquefaction in the sandy soil layer which has a critical acceleration (a) between 0.20-0.30 g with an average groundwater deep enough surface. 07 30 2019 4181 4186 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3265.078219 https://www.ijrte.org/portfolio-item/B3265078219/ Department of CS&IT, ITER, S’O’A (Deemed to be) University, Bhubaneswar, India. Prithviraj Mohanty Ajit Kumar Nayak Department of CS&IT, ITER, S’O’A (Deemed to be) University, Bhubaneswar, India. With the enormous improvement in the area of signal processing, speech processing systems are creating a massive impact in recognizing the voices, controlling the commands and making as communication interfaces. A continuous speech recognition system is essential for voice identification hands free system used as a voice dialer, voice originated security systems and voice based automatic electronic machines. The proposed work suggests a finest speaker independent continuous voiced digit recognition for Odia language. The model integrates the concept of Mel Frequency Cepstral Coefficient (MFCC) and continuous density Hidden Markov Model (HMM), relating to speech parameterization and recognition respectively. The performance of the model is explored for different levels of HMM like word-level and phoneme-level. Further the model output is evaluated using different N-Gram approaches of the language model. Finally it is shown that the model using phoneme-level HMM with a tri-gram language model is superior to other methodologies. 07 30 2019 4565 4574 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3273.078219 https://www.ijrte.org/portfolio-item/B3273078219/ Department of Information Science and Engineering, SDM College of Engineering and Technology, Dharwad, (Karnataka,) India. Abhaykumar Badchikar Dr. Vandana S. Bhat Assistant Profess, Department of Information Science and Engineering, SDM College of Engineering and Technology, Dharwad, (Karnataka,) India. The search engine optimization, or in short- SEO, is the largest speck of digital marketing, often the hardest thing to learn. Since there are so many individual components that make the large picture of what SEO is, people assume one can never fully learn SEO. While this can be considered true, due to the constant changes in the world of digital marketing, breaking SEO down to its core elements, and understanding them all individually, will help user better grasp the overall concept. In this paper we will learn the basics of search engine optimization and page rankings and this report will explain user how to start doing SEO with Google and provide user the basic SEO framework. Search engine optimization (SEO) is a methodology of strategies, techniques and tactics used to increase the amount of visitors to a website by obtaining a high-ranking placement in the search results page of a search engine (SERP) — including Google, Bing, Yahoo and other search engines. 07 30 2019 4484 4488 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3278.078219 https://www.ijrte.org/portfolio-item/B3278078219/ Research Scholar, Civil and Environmental engineering department, V.J.T.I College, Mumbai, India. Darshan Anil Sansare Sumedh Yamaji Mhaske Associate Professor, Civil and Environmental engineering department, V.J.T.I College, Mumbai, India. Flooding is major cause in urban area particularly in Mumbai City which is due to haphazard alterations in land use–land cover (LULC), escalation in the amount of precipitation by virtue of climate change and related impacts due other hydrological changes augmented with deterioration of life and properties. Due to urbanization most of the city has gotten embedded in concrete and by the virtue of which the rainfall gets converted to runoff. The present SWD system in the city is more than 150 years old and 186 outfall also not in use in high tide associated with heavy rainfall situation. In relevance to the implications as stated above, Greater Mumbai is facing reckless Water Logging Problems in many low lying areas from the past 20 years. So, to eradicate and abolish this problem permeable concrete is a perfect solution which should be eco friendly, economical and universally accepted. In this study characteristic of permeable concrete with its type, mix design and application is suggested data base is created to get comparative idea for the same. By clicking on the respective flood spots one can avail the information pertinent to that flood spot location in terms of pervious type suitable to that location. Geographic Information System (GIS) proves to be a can prove to be a very effective tool for integrating & managing various types of information related to this Storm water Management. 07 30 2019 4400 4406 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3281.078219 https://www.ijrte.org/portfolio-item/B3281078219/ Research Scholar, Department of Electronics and Communication Engineering, Guru Jambheshwar University of Science & Technology, Hisar, Haryana Jagtar Singh Dr. Deepak Kedia Professor, Department of Electronics and Communication Engineering, Guru Jambheshwar University of Science & Technology, Hisar, Haryana, Large Scale Multi User-MIMO (MU-MIMO) is a key technology with reference to 5G to achieve higher spectrum as well as energy efficiency. The new technology refers to the use of a large number of antennas at the base station serving many user terminals in the same time and frequency resource allowing the channel vectors nearly orthogonal as a result, there is a reduction in inter-user interference and users may be served with the significant data rate. The linear precoding techniques play a vital role in the reduction of interference among users and cells. In this paper, we have derived, analyzed and compared two important precoding techniques i.e. Zero-forcing (ZF) and Conjugate beamforming (CB) for large-scale multiuser-MIMO. We analyze these precoding techniques with respect to spectral efficiency and downlink power with imperfect channel state information (CSI) as well as with perfect CSI. It is shown that ZF performs better as compared to CB precoding for achieving higher spectral efficiency and requires lower downlink power. CB outperforms the ZF in terms of downlink transmit power when there is a requirement to achieve low spectral efficiency and also for cell- edge users, hence energy efficient in these cases. It is shown from simulation results that ZF precoding is the better choice for attaining higher spectral and energy efficiency for a large scale multiuser-MIMO communication system. 07 30 2019 5529 5536 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3283.078219 https://www.ijrte.org/portfolio-item/B3283078219/ Department of Electronics And Communication, PSIT College of Engineering, Kanpur, (U.P.), India. Pratishtha Agnihotri Monika Jain Department of Information Technology, IIITD, New Delhi, India. Amongst various physiological signals, that can be collected from the human body, Electrocardiogram (ECG) is one widely used signal that gives an overview of individual’s health non-invasively. Some prognostic tools, based on ECG, have already been introduced in the past. However, the diagnostic information contained in ECG is still under used. In the present study, we propose an algorithm that predicts the cardiac health (both present and future) by analyzing subject’s ECG. The prediction is based on diagnostic information like Blood Pressure (BP), Arrhythmia and Heart Rate Variability (HRV), where BP and Arrhythmia are used to predict the present cardiac health, and Arrhythmia and HRV are used to predict the future cardiac health associated with an individual. To verify the algorithm, we use: (1) Linear Regression Model to extract BP based on parameters extracted from ECG; (2) Neural Network Pattern Recognition Application to detect Arrhythmia- Right and Left bundle branch block beat, Atrial premature contraction beat, Premature ventricular contraction beat and Premature or ectopic supraventricular beats, in any ECG signal; (3) Self-Organized Maps for HRV analysis using ECG. These models are used on ECG of 30 subjects chosen from an existing database. Based on the outputs of these models our algorithm predicts the present as well as the future cardiac health of 30 subjects under study. Our predictions are compared with the present and future cardiac health of these subjects already documented in the database. The prediction accuracy showed that present and future cardiac health risk of an individual can be satisfactorily determined using the proposed algorithm, which, in future, can be easily incorporated in any health monitoring device which can record ECG. 07 30 2019 5703 5711 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3284.078219 https://www.ijrte.org/portfolio-item/B3284078219/ PG Research Scholar, Dept. of Electrical Engineering, JNTUA, Anantapur, AP, India A.G. Tejaswini M.Ramasekhar Reddy Assistant Professor, Dept. of Electrical Engineering, JNTUA, Anantapur, AP, India Several operational drawbacks for interlinked AC-DC microgrids to the existing schemes of power management. Designed with main objective on based of their loading conditions power sharing among interlinked microgrids for some existing control schemes, while other schemes without considering specific loading conditions of the interlinked microgrids to regulate voltage. However,cannot reach the existing schemes both objectives successfully. To control these problems an autonomous power management for interlinked AC-DC microgrids by fuzzy based tie-converters is proposed. Fuzzy is the advanced controller that will be used in tie converters. By replacing PI with Fuzzy Logic Controller better results will be found. It makes fuzzy logic an effective tool for the conception and design of intelligent systems. The fuzzy logic toolbox is easy to master and convenient to use. The hybrid control has been proposed for the interlinking or tie-converters of the AC-DC microgrids for autonomous power management with FLC. The proposed is fully autonomous scheme ,while for tie-converters and generators it retains plug-n-play features. Under different operating scenarios the performance has been validated for the proposed control scheme with FLC. Better voltage regulation maintaining autonomously in the DC microgrid managing the power deficit effectively can be done through proposed scheme. To demonstrate its effectiveness , the system is modelled and its performance will simulated on MATLAB. 07 30 2019 4407 4412 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1044.078219 https://www.ijrte.org/portfolio-item/B1044078219/ Professor of Computer Science and Engineering at Mahendra Engineering College, Namakkal, India Prof.Dr.S. Andrews Mr. K. Ramesh He is currently working as Assistant Professor in Karpagam Academy of Higher Education (Deemed to be University),Coimbatore,Tamilnadu,India. T.Nandhakumar,T.Kamalraj, P.Ragupathi pursuing B.E degree in Electronics and communivcation engineering in Mahendra Engineering College,Namakkal, Tamilnadu,India An important module in the agriculture 4.0 based plant monitoring is the weed growth control. In order to achieve the optimum profit on vegetable plantations the control of weeds plays an important role to ensure the precision of yield. Previous studies uses, ariel or portrait images in groups to identify the plants, weed infestation as well as intrusion detection. The motivation in this work of automation is to make the process as an autonomous system to upgrade it to agriculture 4.0 standards, by introducing Artificial Intelligence components in plant monitoring process to help the farmers with the trending technologies. This proposed research approach improves the accuracy of finding plant features from the images captured on vantage angles of the plant .We tried to classify the plants as well as the weeds through inclusion of portrait and ariel images for better classification and to aid automation that uses machine learning in plant and weed identification. Results obtained from the proposed AI system found to be appropriate and accurate in every classes of comparison. 07 30 2019 6232 6237 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3293.078219 https://www.ijrte.org/portfolio-item/B3293078219/ PG Student, Department of Electrical and Electronics Engineering from G. Narayanamma Institute of Technology and Science, Hyderabad, India. Ms P. Shruthi Mrs. Y. Priyanka Assistant Professor, Department of Electrical and Electronic Engineering, G. Narayanamma Institute of Technology and Science, Hyderabad, India. The desired reactive power can be provide by exchanging the instantaneous reactive power among the system. A cascaded multilevel inverter type STATCOM is implemented with an isolate DC energy storage. To generate gate pulses for cascaded H-bridge type of multilevel inverter a Level shifted pulse-width modulation technique is employed which reduces harmonics and also the voltage at the output can be maintained. This topology for applying STATCOM together with ANN controller for injecting reactive power gives effective results. 07 30 2019 4575 4578 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3295.078219 https://www.ijrte.org/portfolio-item/B3295078219/ Research Scholar and Assistant Professor, Department of Computer Science, St. Joseph’s College, Trichy, Tamilnadu, India J.Antony John Prabu Dr.S Britto Ramesh Kumar Assistant Professor, Department of Computer Science, St. Joseph’s College, Trichy, Tamilnadu, India Cloud is a major requirement for data storage and computing power, without user direct performance. Cloud computing is a famous option for IT industries, enterprises, and government sectors because it provides everything as a service based on user demand. Cloud computing is a better environment for handling a large amount of data which is produced by social networks, health industries, transactional, etc., However, cloud has some issues during the data transaction, many researchers have proposed models and solutions for these problems but still maintaining consistency during the transaction is the biggest problem, it is one of the important properties in ACID. Further, secured architecture is another important issue in cloud environment. So this paper proposes a secured architecture and efficient D1FTBC approach for cloud data transaction. The performance analyses are evaluated at various levels. This research work may lead the transaction processing applications like banking, online reservations and shopping cart etc., 07 30 2019 5390 5395 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3296.078219 https://www.ijrte.org/portfolio-item/B3296078219/ Center for Advanced Computing Technology, Fakulti Teknologi Maklumat dan Komunikasi, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Melaka, Malaysia. Nurul Azma Zakaria Muhammad Shamil Saharudin Fakulti Teknologi Maklumat dan Komunikasi, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Melaka, Malaysia. Robiah Yusof Center for Advanced Computing Technology, Fakulti Teknologi Maklumat dan Komunikasi, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Melaka, Malaysia. Zaheera Zainal Abidin Center for Advanced Computing Technology, Fakulti Teknologi Maklumat dan Komunikasi, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Melaka, Malaysia. As to promote and develop STEM education in Malaysia, various approaches have been taken, including improving the curriculum of secondary school by enhancing the contents of the Technology subjects. In this paper, we are concentrating on the issues raised in learning and teaching the computer science subject specifically in supporting the students to understand the syllabus. We propose an interactive online learning application (Code Pocket) using Waterfall model to assist students in learning the subject and enables teachers to monitor the performance of the students. Code Pocket is a web-based application which acts as e-learning platform that consists of many modules such as notes, quiz and reporting. A dashboard menu panel is provided to enable easy navigation. This application provides alternative learning and teaching mechanisms by providing flexible learning environment that promotes online and mobile learning which can be accessed at anytime and anywhere. With interactive features, the learning experience will be better and interesting. 07 30 2019 5537 5542 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3297.078219 https://www.ijrte.org/portfolio-item/B3297078219/ Student, Department of S. Y. B. Technology, Padmabhushan Vasantdada Patil Institute of Technology, Bavdhan, Pune, (Maharashtra), India. Miss I.A. Dandekar Miss R.V. Awati Student, Department of S. Y. B. Technology, Padmabhushan Vasantdada Patil Institute of Technology, Bavdhan, Pune, (Maharashtra), India. Mr. A.K. Joshi Student, Department of S. Y. B. Technology, Padmabhushan Vasantdada Patil Institute of Technology, Bavdhan, Pune, (Maharashtra), India. Dr.S.S. Kulkarni Proffessor, Padmabhushan Vasantdada Patil Institute of Technology, Bavdhan, Pune, (Maharashtra,) India. Mr.A.R. Dandekar Proffessor, Padmabhushan Vasantdada Patil Institute of Technology, Bavdhan, Pune, (Maharashtra,) India. In the current competitive scenario after globalization, product development process is a very challenging task as it depends on various factors from Customers says to Government policies. Today’s customer is technically smart and well aware about the quality of the product. Even just a word about customer dissatisfaction is sufficient to defame the brand image of the product in the market. To avoid such circumstances, it is essential to excercise scientific techniques of product development, so that manufacturers can concentrate on product quality, customer satisfaction, etc. To fulfill the requirements of the manufacturer regarding product development various approach to new product development like Lean product development, Spiral product development, agile product development have been developed by the researchers and the industrial experts. The Generic product development process is a very simple approach in the above-mentioned methodologies. This article discusses the development of butter spreader by using Generic product development process. However, in the initial phase the work is limited up to the overall design of the product. 07 30 2019 6280 6284 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3298.078219 https://www.ijrte.org/portfolio-item/B3298078219/ Department of Computer Science and Engineering, RajaRajeswari College of Engineering, Bengaluru, Karnataka, India Sivakumar D Sureshkumar C Department of Information Technology, KGiSL Institute of Technology, Coimbatore, Tamilnadu, India In the management of software projects, software cost estimate is very important. The absence of precise and premature estimates is a significant source of the inability of many software initiatives. Nevertheless, it remains a challenge for the software industry to correctly estimate the time and the cost of development. It is used to predict how much effort and time the project needs. The precision of the technology proposal usually depends on the estimated time and the strength standard of the template. In this research analysis the time of development and model fitness are analyzed as a major contribution. The optimized coefficient values for A, B, C & D is used to estimate the time of development and model fitness. This experimental analysis proved that the time of development and model fitness analysis shows the great significance in the estimation and their influence in software cost estimation. 07 30 2019 3732 3738 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3304.078219 https://www.ijrte.org/portfolio-item/B3304078219/ Faculty of Ocean Engineering Technology and Informatics, University Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia Air Quality and Environment Research Group, University Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia. Samsuri Abdullah Muhd Irfan Akhtari Faculty of Ocean Engineering Technology and Informatics, University Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia Marzuki Ismail Faculty of Science and Marine Environment, University Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia; Air Quality and Environment Research Group, University Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia. Ali Najah Ahmed Faculty of Engineering, Universiti Tenaga Nasional, 43650 Bangi, Selangor, Malaysia; Institute of Engineering Infrastructures, Universiti Tenaga Nasional, 43650 Bangi, Selangor, Malaysia; Wan Nurdiyana Wan Mansor Faculty of Ocean Engineering Technology and Informatics, University Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia; Air Quality and Environment Research Group, University Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia Mohammad Fakhratul Ridwan Zulkifli Faculty of Ocean Engineering Technology and Informatics, University Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia; Environmental noise is identified as unwanted sound arises mainly from motor vehicles. The increasing number of motor vehicles in institutional area would negatively affect the environment and students learning process. This study assesses the variability of environmental noise in institutional area in terms of temporal and spatial analysis. Noise level was taken in Universiti Malaysia Terengganu (UMT) campus by using sound level meter at varying time intervals of 0700hrs - 1000hrs (morning), 1100hrs – 1400hrs (afternoon) and 1500hrs – 1800hrs (evening) and noise mapping was constructed by using Surfer14® and SketchUp® software. Lmax (78.8 dBA, weekday (WD) and 84.4 dBA, weekend (WK)), LAeq (75.0 dBA, WD and 75.5 dBA, WK), Lmin (43.9 dBA, WD and 41.3 dBA, WK), L10 (66.8 dBA, WD and 58.5 dBA, WK) and L90 (47.5 dBA, WD and 44.4 dBA, WK) were evaluated. Motor vehicles from Class M (cars and buses) shows strong correlation with noise level (Spearman’s correlation coefficient, r=0.74, p<0.01, WD) while Class L (motorcycle) shows strong correlation (Spearman’s correlation coefficient r=0.59, p<0.01, WK). The finding from this study is important for UMT management team to control noise pollution in campus in line to reduce noise exposure towards university students and staff. 07 30 2019 4037 4042 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3306.078219 https://www.ijrte.org/portfolio-item/B3306078219/ Civil engineering department, Bharati Vidyapeeth (Deemed to be University) College of Engineering, Pune, India. Digvijay M. Patil Milind R. Gidde Civil engineering department, Bharati Vidyapeeth (Deemed to be University) College of Engineering, Pune, India. P.D. Patil Civil engineering department, Bharati Vidyapeeth (Deemed to be University) College of Engineering, Pune, India. Government of Maharashtra empaneled Technology and Development Cell (TDSC) as third-party evaluator in all district to improve Rural Water Supply Schemes (RWSS) for improving sustainability, efficiency and equitability of these schemes. The objective of the paper is to investigate and design of rural water supply scheme. The investigation was carried out during 2018-19 in Vadoli-Nileshwar village. Investigation was completed in three stages out of that first stage is to collect document related to scheme like detailed project report, second stage is to verify all documents in scheme and third stage is to verify physical assets of scheme like source well, raising main, storage reservoir and distribution network. Investigation was notified that Vadoli –Nileshwar water supply scheme is completed in 1981, scheme is designed for 2900 peoples with daily demand 40 lit/person/day. But due to increasing population, increasing daily demand and newly developed area water supply is insufficient. For solving this problem, scheme is redesigned in which raising main, storage reservoir, pumping machinery and distribution network is designed for 3700 peoples with daily demand of 115lit/person/day and 12 supplying hours. Scheme was designed by ‘Jaltantra’ software. It is expected that, if this revised design is considered, the problem of water availability to consumers will be solved. Spacing. Manuscript Details must be in Font Size 8, in the Bottom, First Page, and Left Side with Single Line Spacing. References must be in Font Size 8, Hanging 0.25 with single line spacing. Author Profile must be in Font Size 8, with single line spacing. Fore more details, please download TEMPLATE HELP FILE from the website. 07 30 2019 3739 3744 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3307.078219 https://www.ijrte.org/portfolio-item/B3307078219/ Research Officer, Department of Computer Science & Engineering, Bharathidasan University, Trichy,(T.N.). India. Mallikka Rajalingam Dr. M. Balamurugan Professor, Department of Computer Science and Engineering of Bharathidasan University, Trichy,(T.N.) India. In this paper we present a Visual feature extraction using improvised SVM and KNN classifiers. The proposed method is an automatic, stable, quick response automatic segmentation, followed by feature extraction and classification to detect spam from the images and the text. The KNN classifier is used to extract features by predicting nearest neighbour while SVM, analyze the data for classification and regression. The hybrid-based Visual feature extraction and classification is elaborated wherein this work discuss the proposed approach which incorporated using improvised SVM and KNN classifier. Moreover, identified patterns via feature extraction method by means of a minimum number of features that are effective in discriminating pattern classes. With all the aforementioned concepts elaborated, the experimental set-up was elaborated with the experimental task, and the results of the character recognition component are further elucidated. 07 30 2019 4579 4583 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3308.078219 https://www.ijrte.org/portfolio-item/B3308078219/ Department of Physics, Universiti Pendidikan Sultan Idris, Perak, Malaysia. Muhammad Rashidi Ab Razak Mohd Norzaidi Mat Nawi Department of Physics, Universiti Pendidikan Sultan Idris, Perak, Malaysia. Nur Shahira Shahripul Azeman Department of Physics, Universiti Pendidikan Sultan Idris, Perak, Malaysia. Mohd Faudzi Umar Department of Physics, Universiti Pendidikan Sultan Idris, Perak, Malaysia. In designing the fluidic based pressure sensor, the shape of the membrane is important in order to obtain maximum performance. The material used and the liquid inside the sensor is also important and deserve proper consideration. . In this work, the analysis of the membrane, materials and liquid using finite element analysis (FEA) are presented. The FEA simulation of the different shapes including square and rectangular shapes were carried out. The applied pressure and the dimension of selected membrane were varied in order to study the membrane performance.The result shows that the square shape produced the highest displacement of 4.7 mm compared to the other shapes. In terms of dimension, maximum performance can be achieved with a large area of membrane facing the applied pressure. The different types of membrane material andliquids that were used were also discussed. Two commonly used materials, Polyimide (PI) and Polydimethylsiloxane (PDMS) were chosen for this analysis. As for the liquids, methanol and propolyne carbonate were used. 07 30 2019 3610 3613 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3316.078219 https://www.ijrte.org/portfolio-item/B3316078219/ Department of ECE, Visvesvaraya Technological University, Vidyavardhaka college of Engineering, Mysuru, Karnataka, India. Geethashree A D J Ravi Department of ECE, Visvesvaraya Technological University, Vidyavardhaka college of Engineering, Mysuru, Karnataka, India. Emotion conversion is one of the most inspiring forefronts of research in the arena of emotional speech synthesis. The main focus of the work is to convert a neutral speech sentence to the target emotional speech sentence using signal processing techniques. The parameters used for emotion conversion are pitch contour and intensity along with the duration of the sentence. Kannada Emotional Speech (KES) Database is created and used for analysis. The database consists of 4 (sadness, happy, anger, and fear) emotions with neutral. The pitch contour of different emotional sentences are analyzed and Gaussian Regression Model (GRM) is proposed for predicting the target pitch contour. The evaluation of the proposed method is done using Objective test & Subjective test. For objective test, mean pitch, the standard deviation of pitch, mean intensity and duration of the sentences are used. Evaluation using a subjective test is performed by calculating Emotion Recognition Rate (ERR) with the help of confusion matrix and also by taking the Mean Opinion Score (MOS) rating of the conversion system on the scale of 1-5. The result of Subjective test indicates that the effectiveness and discernment of emotion are improved when GRM is used for pitch contour modification with intensity and duration. The most recognized emotion was sadness with MOS of 3.52 and ERR of 83% and the least recognized emotion was anger with MOS of 1.74 and ERR of 66%. The results of the subjective and objective test show that the converted sadness, happy and fear speech is seeming very close to usual sadness, anger and fear emotion. 07 30 2019 3745 3752 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3318.078219 https://www.ijrte.org/portfolio-item/B3318078219/ Department of Computer Science, SSM College of Arts and Science, Komarapalayam, Namakkal, Tamilnadu, India. U. Sridevi Dr. K. Kamaraj Principal, SSM College of Arts and Science, Komarapalayam, Namakkal, Tamilnadu, India. Usually, the nodes in Mobile Adhoc Networks (MANET) are bounded with the limited power resources to interact with each other nodes without any backbone infrastructures. As a result, an allocation of unbalanced traffic among nodes may increase the power dissipation in the overloaded nodes and path failures that degrade the network lifetime. To tackle this problem, an on-demand Power and Load-Aware (PLA) multipath node-disjoint source routing scheme was proposed based on the Dynamic Source Routing (DSR) protocol that uses a new cost function to determine the multiple node-disjoint power and select the load-aware optimal paths to their destinations. However, this protocol was affected by control overhead and the reliable packet delivery was also not effective. Hence in this article, Power and Load-aware i.e., Utility-Aware Reliable Opportunistic Routing (UAROR) protocol is proposed to enhance the efficiency and reliability of the routing protocol. In this protocol, topology control and link lifetime prediction algorithms are integrated into the PLA algorithm to predict the effect of the node mobility on routing performance. The link prediction algorithm considers both mobility speed and direction for improving the accuracy. As well, an opportunistic topology control algorithm uses packet delivery ratio to maintain the node’s stability. Moreover, Utility-Aware Enhanced ROR (UAEROR) protocol is proposed to improve the node’s stability and reduce the control overhead by employing the neighbor detection algorithm that uses degree and reachability of nodes. Finally, the simulation results show that the effectiveness of the proposed protocol compared to the existing protocol in terms of throughput, end-to-end delay, packet delivery ratio, network lifetime, energy consumption and control overhead. 07 30 2019 4187 4194 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3322.078219 https://www.ijrte.org/portfolio-item/B3322078219/ Assitant Professor, Computer Science and Engineering Department, Shri Ramdeobaba College of Engineering and Management, Nagpur, India Sunita Rawat Kavita Kalambe 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. Nilesh Korde Assistant Professor, Computer Science and Engineering Department, Shri Ramdeobaba College of Engineering and Management, Nagpur, India. Semantic processing is an essential task in natural language processing. In semantic processing it has observed that some words have more than one meaning. Multiple meanings of a word create serious problems to linguists which produces ambiguity in sentence. Word Sense Disambiguation is one of the main challenges in natural language processing which is present in almost all the languages. By existing knowledge and experience human can certainly disambiguate the words but for machine it is difficult task. In the proposed work, we are resolving the ambiguity of all open class word in English sentence and translating it to the Hindi sentence. We have used decision tree as a classifier. For improving the speed of translation we have used the concept of translation memory. 07 30 2019 4043 4047 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3323.078219 https://www.ijrte.org/portfolio-item/B3323078219/ Mechanical Engineering Department, Nirma University, Ahmedabad, India. Ath S Singhal Tejas Raval Mechanical Engineering Department, Nirma University, Ahmedabad, India. Anand Bhatt Mechanical Engineering Department, Nirma University, Ahmedabad, India. Today global warming is a big issue. Ambient temperature have drastically increased, leading to severe droughts especially in those areas which receive less than average rainfall. Inadequate supply of quality drinking water especially in the rural areas have led to develop a distillation system with affordable cost and less maintenance in rural areas. Countries like India and South Africa are getting ample amount of solar energy almost throughout the year. Solar based water distillation unit- Solar still can be great solution to those kind of areas. Efficiency of the solar distillation can be improved by increasing evaporation rate which is a function of incident radiation. Further by increasing concentration of total dissolved salts in the water, base plate absorptivity and efficient energy absorbing material, by providing additional heat with solar water pre-heaters efficiency of solar still can be improved. Here experiments were carried out in order to find out optimum water bath depth and salt concentration in water in solar still for maximizing the yield. Experiments are also carried out by adding heat storage material and effect of salt concentration on yield. 07 30 2019 6238 6243 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3324.078219 https://www.ijrte.org/portfolio-item/B3324078219/ Plekhanov Russian University of Economics, Moscow, Russia. Ibragim Agaevich Ramazanov Seifullakh Agaevich Ramazanov Nizhny Novgorod State Technical University named after R.E. Alekseev, Nizhny Novgorod, Russia. Svetlana Viktorovna Panasenko 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. The modern trade exists in the context of globalization and the information society establishment. The authors review the development of online trade in the Russian Federation and put the following research questions: how is the information and communication environment established in Russia? is there a link between the economic, information, communication and trade globalization, on the one hand, and the development of digital technologies in the trade sector, on the other hand? what are the prospects for the development of Russian digital trade in the global space? The results have indicated that the use of personal computers, local computing networks, and landline telephone networks in the Russian Federation has reached a level where a further increase in their number is not accompanied by an adequate increase in digital competencies. As a result of the study, the authors have found a relationship between the public activity in online trade and the development of the information society. They have also identified the factors that contribute to positive changes in the structure of Internet use by the population of the Russian Federation to order goods and services; factors hindering the development of online trade; and factors that do not influence the development of online trade. Regardless of the weak and deteriorating legal environment and the low efficiency of investment in innovation, the information society establishment and the development of online trade and the digital economy in the Russian Federation have positive dynamics supported by the activity of global players in the online space. 07 30 2019 4413 4424 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3328.078219 https://www.ijrte.org/portfolio-item/B3328078219/ Moscow Automobile and Road Construction State Technical University (MADI), Leningradsky Avenue, 64, Moscow, 125319, Russian Federation Marina Nikolaevna Vrazhnova Tatyana Alexandrovna Panteleeva Russian University of Cooperation, Vera Voloshinoy, Str., 12/30, Moscow Region, Mytishchi, 141014, 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 Maria Vladimirovna Chekadanova CEO JSC "Management Company of special economic zone “Istok”, Vokzalnaya, Str., 2, Moscow Region, Fryazino, 141190, Russian Federation Elena Anatolievna Reznik Russian Presidential Academy of National Economy and Public Administration, 82 Vernadsky Avenue, Moscow, 119571, Russian Federation Irina Aleksandrovna Freydina Russian Presidential Academy of National Economy and Public Administration, 82 Vernadsky Avenue, Moscow, 119571, Russian Federation This paper explores the essence and establishes the key characteristics of companies’ economic security in a climate of changing market conditions. Based on a summarization of research into the market conditions, the authors performed modeling of risk from changes in conditions in Russia’s petroleum machine-building market using the paired comparison method. 07 30 2019 4425 4429 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3330.078219 https://www.ijrte.org/portfolio-item/B3330078219/ Ministry of the Interior of Russian Federation, Moscow, Russia. Viktor Reutov Diana Burkaltseva Ministry of the Interior of Russian Federation, Moscow, Russia. Elena Vorobyоva Ministry of the Interior of Russian Federation, Moscow, Russia. Oleg Blazhevich Ministry of the Interior of Russian Federation, Moscow, Russia. Aleksandr Betskov Ministry of the Interior of Russian Federation, Moscow, Russia. Kilyaskhanov Hizri Ministry of the Interior of Russian Federation, Moscow, Russia. Tatyana Bugaeva Perm Military Institute of the National Guard Troops of the Russian Federation, Perm, Russian Federation; Perm State University, Perm, Russian Federation. Memet Abibullayev V.I. Vernadsky Crimean Federal University, Simferopol, Republic of Crimea, Russia. Anastasia Karpova V.I. Vernadsky Crimean Federal University, Simferopol, Republic of Crimea, Russia. Enough attention has been paid to studying the threats that cause the global food shortage. At the same time at the regional level, a number of scientists have worked at researching and solving the relevant issues. However, the issue of optimizing indicators and proposals for developing the methodology for assessing the financial and economic security of the agro-industrial complex has not been raised. In this respect, the relevance of this methodology is particularly enhanced under the conditions when the quality of management at the regional level requires efficient decisions. The purpose of the article is to consider monitoring of the financial and economic security of the agro-industrial complex through the method of its assessment using the example of the Republic of Crimea. 07 30 2019 4430 4435 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3332.078219 https://www.ijrte.org/portfolio-item/B3332078219/ Market Economy Institute of RAS (MEI RAS), Moscow, Russia Russian Presidential Academy of National Economy and Public Administration (RANEPA), Moscow, Russia. Mihail Nikolaevich Dudin Oleg Fedorovich Shakhov Russian Presidential Academy of National Economy and Public Administration (RANEPA), Moscow, Russia. Margarita Sergeevna Shakhova Lomonosov Moscow State University (MSU), Moscow, Russia. Ekaterina Petrovna Rusakova Peoples' Friendship University of Russia (RUDN University), Moscow, Russia. Yulia Sergeevna Sizova Plekhanov Russian University of Economics, Moscow, Russia. The goal of the research is to cover the problem of digital inequality considering its negative consequences for society, to conduct a geospatial analysis of the distribution of informational resources among the countries around the world and to determine the main trends of their technological development. Methods. This article uses the following methods: empirical, systematic, analytical, economic and other methods for the research of digital technologies as a driver of intellectual stratification of human resources. Results. The author has studied digital technologies as a driver of intellectual stratification of human resources. The article analyzes the phenomenon of digital inequality as one of the key problems of microsystem development, as well as the geospatial characteristics of this problem. 07 30 2019 4436 4440 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3333.078219 https://www.ijrte.org/portfolio-item/B3333078219/