-3dc97f3d182b6b0ed3d-5850 20220923073349337 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 PG scholar, Civil Engg, KHIT, Guntur, A.P, India. Anantha. Kavya Supriya Ravi Kumar Reddy C Professor, Civil Engg. KHIT, Guntur, A.P, India. In every structure, the super structure and the foundation executed on soil, represent an entire structural system. The analysis of a framed structure while not modeling its foundation system and its rigidity could mislead the axial forces, moments due to bending and due to settlement. It is, thus necessary to hold out the analysis considering the type of soil, foundation and above the sub structure i.e. (super structure). Hence the analysis of the single bay single storied building frame resting on soil (Clayey Soil) is taken for present study. The analysis is carried out using “ANSYS 16.0”. In this paper the effect of soil interaction on building frame design parameters as change of modulus of sub-grade reaction from 0.010 to 0.050 N/mm3.Shear force, Bending moment and settlements have been studied for different footing sizes of 1mx1m to 4.5mx4.5m the effect of SSI is quantified using finite element analysis. The following conclusions have been drawn from the study, the shear force and axial force value in the beam and column is constant from finite element analysis are not having considerable difference. The analysis is predicting that percentage difference in bending moment in beam, column and footings are at lower EFS value i.e 0.010N/mm3 at lower footing size 1mX1m is greater than when compared to higher EFS value i.e 0.050N/mm3 at higher footing size 4.5mX4.5m which considers soil interaction. But in case of the footings they undergo some settlement the percentage difference of settlement is 14.41% and 6.72% at lower EFS value i.e 0.010N/mm3 at lower footing size 1mx1m when compared to higher EFS value i.e 0.050N/mm3 at higher footing size 4.5mx4.5m respectively, which considers soil interaction. 07 30 2019 4874 4879 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3618.078219 https://www.ijrte.org/portfolio-item/B3618078219/ Department of computer science & Engineering, parala maharaja Engineering college Affiliated to Biju Patnaik uni-versity of Technology, Berhampur, Odisha, India Er Mitali Sinha A VLSI integrated circuit is the most signifi-cant part of electronic systems such as personal computer or workstation, digital camera, cell phone or a portable computing device, and automobile. So development within the field of electronic space depends on the design planning of VLSI integrated circuit. Circuit partitioning is most important step in VLSI physical design process. Many heuristic partitioning algorithms are proposed for this problem. The first heuristic algorithm for hypergraph partitioning in the domain of VLSI is FM algorithm. In this paper, I have proposed three varia-tions of FM algorithm by utilizing pair insightful swapping strat-egies. I have played out a relative investigation of FM and my proposed algorithms utilizing two datasets for example ISPD98 and ISPD99. Test results demonstrate that my proposed calcula-tions outflank the FM algorithm. 07 30 2019 5589 5593 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3621.078219 https://www.ijrte.org/portfolio-item/B3612078219/ Department of Information System Management, Bina Nusantara University. Indonesia. T. A. Atmojo Harjanto Prabowo Professor, Department of Information System Management, Bina Nusantara University. Indonesia. Idris Gautama So Associate Professor, Department of Information System Management, Bina Nusantara University. Sri Bramantoro Abdinagoro faculty member of Binus Business School in Jakarta, Indonesia. The implementation of Information Technology (IT) in any aspects of business has change the landscape of business. Specifically, IT has made significant and major changes in banking industry, especially on the way people do business with bank. Beside as business enabler, IT now become a major tool for bank to win the competition. With the strategic role of IT in banking industry, there is a risk from security point of view. The new sophisticated and advanced kind of attack drive to higher impact for banks. Beside direct loss caused by successful attack, there is also loss caused by image damage and sanction from regulatory. With many initiatives can be done to improve Information Security condition, banking need to prioritize the initiative that has most significant impact. Management support on information security is cited by many literatures as basic requirement for improving Information Security condition. Security Operation Center also proposed as initiatives to enhance the capability of detection and response to attack. This research tries to empirically find out the impact of Management Support to information security performance and the role of Security Operation Center on mediating both variables. Data are gathered from banks in Indonesia using survey methodology through questionnaire answered by qualified respondents. The sample design used is a probability sample with disproportionate stratified random sampling and analyzed using Structural Equation Modeling - Partial Least Square. This paper shows that management support has significant impact on improving Information Security condition in banking industry. It also concludes that SOC has complimentary mediation of relationship between management support and information security performance. Practically, result of this research can be foundation for company that wants to focus on factors that significantly impact security performance, while theoretically confirmed previous studies on the role of management support. 07 30 2019 4880 4886 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3653.078219 https://www.ijrte.org/portfolio-item/B3653078219/ Research Scholar, Department of CSE, Hindustan Institute of Technology and Science, Padur, India. V.Sathya Durga Thangakumar Jeyaprakash Associate Professor, Department of CSE, Hindustan Institute of Technology and Science, Padur, India. Feature selection is the most important step to develop any latest learning model. As the complexity of the leaning models increases day by day there is an increasing demand, in selecting the right features to build the model. There are many methods for feature selection. A new feature selection based on the Manova statistical test is implemented. Using the Manova test, we select attributes from academic datasets. Using the selected attributes, we build a classification model. Accuracy of the model with feature selection is compared with a model with all attributes. Results are discussed. It is proved that the classification model build with features selected by Manova test achieves more accuracy than a model built with all features. 07 30 2019 5969 5971 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3654.078219 https://www.ijrte.org/portfolio-item/B3654078219/ Research Scholar, Koneru Lakshmaiah Education Foundation, Vaddeswaram , Guntur, Andhra Pradesh -522502, India. Y. Suresh Kumar N. Seshagiri Rao Department of Applied Mathematics, School of Applied Natural Science, Adama Science and Technology University, Post Box No. 1888, Adama, B. V. Appa Rao Department of Mathematics, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh -522502, India. We analyze the dynamics of a general model of three-species mutualistic interaction among two species and a mortal predator, which consumes the first mutual species in terms of Holling type-II functional response manner. Local stability around the existing equilibrium points is investigated by using perturbed method. Sufficient conditions for the global stability are obtained by means of employing Lyapunov’s method around boundary equilibrium points. The population stochasticity around the steady state of co-existence due to white noise is also computed. Finally, the numerical illustrations are carried out to support the study. 07 30 2019 4070 4086 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3657.078219 https://www.ijrte.org/portfolio-item/B3657078219/ Associate Professor, Department of CSE, NRIIT, Vijayawada, A.P, India. D. Suneetha D.Rathna Kishore Professor, Department of CSE, NRIIT, Vijayawada, A.P, India. G.G.S. Pradeep Professor, Department of CSE, Malla Reddy Institute of Science and Technology, A.P, India. Data security is a one of the challenging issue in present scenario. In that one of the on demand service is cloud computing and it provides so many services for end users and also it provides a dynamic environment for end user to provide quality of services on data it leads to improve in the confidentiality of the data. The proposed work presents a new cloud data security model with the help of Artificial Neural Network. It improves the confidentiality and security in cloud environment. This proposed algorithm is implemented using dynamic hashing fragmented component. It is implemented for storing fragmented sensitive secret data. The neural network cryptographic proposed algorithm is used for data to deal with encryption process for secret and improve the confidentiality. This algorithm applied for various number of cloud databases and it shows high confidentiality on data security. 07 30 2019 5972 5975 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3658.078219 https://www.ijrte.org/portfolio-item/B3658078219/ Assistant Professor, Research scholar, Department of computer science and engineering, ANU, KLEF, Guntur, AP. India. S. Nagendram Wireless ad hoc networks are increased with respect to data transmission between different nodes via relay routing in real time network environment. Wireless ad hoc networks are the collection of different wireless nodes which communicate over common wireless medium. Relay configuration of particular node over relay routing is a complex task which improves the quality of service parameters based on basic standards in routing communication scenarios. Different security challenges appear in this scenario because of misbehaving nature of intermediate nodes in data transmission with respect to scalability and efficiency in wireless ad hoc network communication. So that in this paper we present and develop a Hybrid approach, which consists unital key distribution approach and dynamic source optimized routing scenario to improve scalability and efficiency for key sharing to all the nodes in wireless networks. Performance of proposed approach in terms of increasing quality of service (QOS) parameters in wireless ad hoc networks. 07 30 2019 5594 5597 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3659.078219 https://www.ijrte.org/portfolio-item/B3659078219/ Department of Computer Science, College of Science and Arts, Jouf University, Tabarjal, Kingdom of Saudi Arabia. Salman Ali Syed Underwater sensor networks(UWSN’s) have been proposed as an approach to investigate and monitor the sea, by observing of underwater situations. The paper proposes another directional algorithm dependent on a geo location, named Self Directional Packet Sending (SDPS). The algorithm enhances the current Directional Forwarding Strategy and appends a methodology to process the safety alert packets that having priority as high, which builds the algorithm solid and productive. We contrast the execution of SDPS and with existing algorithm VBF( Vector Based Forwarding) utilizing NS2, in the recreation, SDPS demonstrates a greatly improved execution than VBF, the packet delivery rate is increased when there is a long distance from the surface. Thus, SDPS is increasingly appropriate for underwater sensor networks. 07 30 2019 4227 4231 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3661.078219 https://www.ijrte.org/portfolio-item/B3661078219/ Department of Mechanical Enineering, Annamalai University, Annamalai Nagar, Chidambaram, India. K.C. Keerthivasan S. Vivekanandan Department of Mechanical Enineering, Annamalai University, Annamalai Nagar, Chidambaram, India. Significance of developing energy from waste biomass has grown extremely high in recent decades. Prosopis Juliflora (PJ - Organic) is a waste plant which was grown in agricultural landfills and Fibre-reinforced plastic (FRP - Inorganic) is procured from composite industry waste are collected for this work, which is abundant in quantity. Gasification are the adequate method for harvesting energy efficiently from organic and inorganic biomass. The objective of this research was to conclude the proximate and ultimate analysis of Prosopis Juliflora and Fibre-reinforced plastic to study the potential for thermo-chemical conversion process. Thermo-gravimetric analysis were observed at heating rates of 20, 30 and 40 ºC/min in inert (nitrogen) atmosphere with gas flow protection rate of 40 ml/min was analyzed for PJ, FRP and PJ+FRP (50:50). 07 30 2019 4232 4238 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3664.078219 https://www.ijrte.org/portfolio-item/B3664078219/ Civil Engineering Department, MANIT, Bhopal, India. Mukul Kulshrestha Prasad Singh Civil Engineering Department, MANIT, Bhopal, India. This paper evaluates contamination risks associated with community based rural tubewells with handpump in rural areas of nine districts of the State of Uttar Pradesh in Northern India. A total of 324 such sources of drinking water were field surveyed to assess the prevalence of contamination risk based on the World Health Organization sanitary inspection guidelines. In the field survey conducted, a total of 37.7% of all community based tubewells with handpump in rural areas were found unsafe. Significantly, the prevalence of medium to very high risk was widespread: as many as 28.7% of all the 324 sampled community tubewells with handpump were found infested with medium, high or very high Risk levels, clearly portraying a rather alarming situation that needs immediate attention of field engineers, planners and policy makers, who need to coordinate work in order to minimize total risk of contamination in drinking water. 07 30 2019 5435 5438 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3665.078219 https://www.ijrte.org/portfolio-item/B3665078219/ Department of Computer Science, Aligarh Muslim University (A.M.U), Aligarh, India. Mohammad Oqail Ahmad Rafiqul Zaman Khan Department of Computer Science, Aligarh Muslim University (A.M.U), Aligarh, India Cloud computing is a major technology in the development of internet services, and it delivers software, infrastructure and platform. It enables the client to offer-based services in a pay-per-use concept. So, it offers a less expensive and easy way of managing things. In this paper, we introduce a formal definition of CloudSim simulator, including its architecture, reasons for adopting for modeling and simulation, pros and cons. Moreover, CloudSim versions and how to implement the cloud environment using CloudSim. Further, we demonstrate that cloudlet scheduler policy TimeShared, SpaceShared and DynamicWorkload approach for VM scheduler TimeShared policy are compared on the bases of some performance parameters in term of average turnaround time, throughput, total execution time and total simulation time. These parameters outperform in DynamicWorkload cloudlet scheduler policy than TimeShared and SpaceShared approach for TimeShared VM scheduler policy. This work is anticipated to the beginner of the field to choose CloudSim simulation platform and suitable approaches for cloud computing. 07 30 2019 5439 5445 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3669.078219 https://www.ijrte.org/portfolio-item/B3669078219/ Department of Computer Science and Engineering, SRM Institute of Engineering and Technology, Chennai, India. Pradeepa R Pushpalatha M Department of Computer Science and Engineering, SRM Institute of Engineering and Technology, Chennai, India Software Defined Networking (SDN) is a modern emerging technology in networking. The great advantage of this network is, decoupling of the carrier plane and the control plane as well as which provides centralized control. A Controller is the intelligent part of SDN. It offers several benefits such as network programmability, dynamic computing, and cost-effective, high bandwidth. However, SDN has many security issues. The DDoS attack on SDN is a significant issue, and various proposals have been proposed for the detection and prevention of attacks. The main objective of this proposal is to detect DDoS attacks with the help of SDN techniques. In this proposal, a deep learning based Artificial Neural Network (ANN) model is used to detect the DDoS attacks. This can reduce learning time as well as detection time. To evaluate our model we use different machine learning algorithms and deep learning algorithm with different optimizers to train the network traffic which is generated in Mininet emulator and evaluates the results by various metrics such as detection rate, accuracy score, and confusion matrix with classification report. The result shows less detection time (4Secs) with a high accuracy score of 92% in our proposed Artificial Neural Network (ANN) model. 07 30 2019 4887 4894 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3670.078219 https://www.ijrte.org/portfolio-item/B3670078219/ research scholar, Computer Application, Shri Ramswaroop Memorial University, Deva Road, Barabanki, U.P., India. Chandra Kishor Pandey Dr. Neeraj Kumar CS & IT, Babasaheb Bhimrao Ambedkar University, Satellite Campus, Teekarmafi, Amethi, U.P., India. Dr. Bineet Kumar Gupta Computer Application, Shri Ramswaroop Memorial University, Deva Road, Barabanki, U. P, India. Dr. Vinay Kumar Mishra Computer Application, SRMGPC, Faizabad Road, Lucknow, India. Apart from having smart systems in modern vehicles, roadways traffic positions in infrastructure-free environment are in various ways not suitable for driving which causes roadways accidents. Smart systems are costly, training and maintenance is not practiced by all, hence they are not useful for vehicles running in infrastructure-less environment. Modern days Smartphone are multifunctional, easily operated and consists of numerous sensors, can be utilized for roadways obstacles detection in infrastructure-less environment. In this study, we proposed an efficient algorithm depth learning approach for roadways obstacles detection using Smartphone which is useful for planned as well as unplanned roads. In this, road information is collected using Smartphone accelerometer sensors, data normalization take place using Euler angle method and location determination of obstacles take place using space interpolation method. In comparison to other same type of approach, our algorithm is efficient and cost-effective. 07 30 2019 5976 5982 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3674.078219 https://www.ijrte.org/portfolio-item/B3674078219/ Computer Engineering Department, JSPM's Rajarshi Shahu College of Engineering, Tathawade, Pune, India.. Ms. Priyanka B. Barhate Mr. G. D. Upadhye Computer Engineering Department, JSPM's Rajarshi Shahu College of Engineering, Tathawade, Pune, India.. A normal human can easily recognize any written or typed or scanned text, numbers, etc., but when it comes to a machine, it is difficult to find out what exactly that given text or numbers. It will be difficult to recognize a handwritten digit for a machine. Many machine learning methods were used to fix the handwritten digit recognition issue. It is growing in more convoluted domains, so its training complexity is also increasing. To overcome this complexity problem, many algorithms have been implemented. In this paper, the Convolutional Neural Network (CNN) and Particle Swarm Optimization (PSO), those two approaches do use for recognition of the isolated handwritten digit. Customized PSO is used to reduce the overall computation time of the proposed system. The customized PSO used with CNN, to decreases the required number of epochs for training. It is used to identify digits in the MNIST handwritten digital database to predict the number. The system has achieved an average of 94.90% accuracy. 07 30 2019 5983 5987 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3675.078219 https://www.ijrte.org/portfolio-item/B3675078219/ School of Electronics and Electrical Engineering, Lovely Professional University, Jalandhar, 144402, India Anuj Jain Surender Kumar Dept. of Electronics and Communication Engineering, ADGITM, Delhi, 110053, India Ashutosh Kharb Dept. of Electronics and Communication Engineering, BMIET, Sonipat, 131001, India An energy harvester using piezoelectric sensors is investigated and a model is simulated in COMSOL multipyhsics software to harness energy from railway tracks. In new energy conservative world, new ideas are needed to be implemented. The induced sound wave inside the railway tracks, as a result of rail wheel interaction, is of dynamic in nature. These waves are travelling in the railway tracks for short time of interval and can be easily harvested with the help of piezoelectric sensors and stored inside the batteries for later use. Now a day’s wireless sensor nodes are widely used for measurement of different physical quantities like temperature, humidity etc. and providing essential power to such devices, is a big problem. Energy harvesting from tracks can be used to power wireless sensor nodes installed near to railway tracks, tunnels, and rural areas near railway tracks. The Lead Zirconate Titanate PZT 5H piezoelectric sensors are used to simulate a model in COMSOL. 07 30 2019 5446 5452 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3680.078219 https://www.ijrte.org/portfolio-item/B3680078219/ Ph. D scholar, ECE, JNTUK University, Kakinada, (A.P.), India Eppili Jaya B.T. Krishna Department of ECE, JNTUK University, Kakinada, (A.P.), India Precise and efficacious detection of moving targets is a prominent task in on-going synthetic aperture radar (SAR) technique. The perception of moving object allows quite significant data about the situation under observation for both surveillance and intelligence activities. The task of accurately locating moving targets against strong background clutter in minimum of time is of utmost interest in the current research area. Fractional Fourier Transform (FrFT) concentrates the energy of the required chirp signal so that it can be well separated from the chirp like noise. The proposed SAR Moving Target Detection (MTD) process is based on the combination of FrFT with the adaptive-neuro fuzzy decisive technique. The correlation among the received signal and the FrFT of the received signal are computed which maximizes the required signal energy and applied to the adaptive-neuro fuzzy decisive module that detects the target location adaptively using the fuzzy linguistic rules. The simulation is performed by changing the number of targets, different Pulse repetition intervals, antenna turn velocity, iterations and the analysis is carried out based on the metrics, like detection time, missed target rate, and Mean Square Error (MSE), proving that the proposed Adaptive-Neuro Fuzzy-based MTD process detected the object in 5.0237 secs with a minimum missed target rate of 0.1210 and MSE of 23377.48. 07 30 2019 4517 4523 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3682.078219 https://www.ijrte.org/portfolio-item/B3682078219/ Civil Engineering, MANIT Bhopal, India Devesh Singh Tomar Dr. Suneet Kaur Associate Professor, MANIT Bhopal, India Clayey soils are considered as the weakest subgrade soil from civil engineering point of view under moist condition. These soils attract and absorb water and loses their strength. Because of this reason certain inherent properties of these clayey soils need modification for their bulk use in construction of highways, embankments etc. Recently, many synthetic fibres have emerged to strengthen soft soils. Synthetic fibres are low-cost materials, hydrophobic and chemically inert in nature which does not allow the absorption or reaction with soil moisture. The inclusion of synthetic fibres provides reinforcement to the soil and use of lime as a soil stabilizer in BC soil cut down the plasticity index and also increase its strength. For this an extensive laboratory test program was conducted to analyse the variation geotechnical properties of soil by changing the percentage of recron fibre at an optimum dose of lime. The laboratory tests include Atterberg Limit Test, Modified Proctor Test, Unconfined Compressive Strength Test and California Bearing Ratio Test. To conduct different tests on soil sample the proportion of lime is kept fixed and proportion of polyester recron fibre is varied from 0% to 1% by dry weight of soil sample for different lengths of fibre(6 mm, 12 mm & 18 mm separately). Optimum dose of lime is find out by plasticity index of BC soil mixed with varying percentages of lime (4%, 6%, 8% and 10%). Results of the experiments shows that with the increase in the appropriate percentage in recron fibre the Unconfined Compressive Strength and California Bearing Ratio increases. On increasing the length of Recron Fibre, the Unconfined Compressive Strength and California Bearing Ratio also increases. Combination of lime and recron fibre in BC soil give higher CBR value. Therefore it can be used in the improvement of Clayey Soil Subgrade in pavement design and in the construction of embankements. 07 30 2019 6252 6257 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3688.078219 https://www.ijrte.org/portfolio-item/B3688078219/ Research Scholar, Maulana Azad National Institute of Technology (MANIT), Bhopal-462003, India. A. Pateriya S.S. Kushwaha Assistant P, Maulana Azad National Institute of Technology (MANIT), Bhopal-462003, India. Dr. D. Kishan Associate Professor, Maulana Azad National Institute of Technology (MANIT), Bhopal-462003, India. At present time, there are vastly available of various nanomaterials, by using this material it plays an important role in various applications along with geotechnical soil stabilization/strengthen techniques. In the present investigation the addition of Graphene Oxide (GO) solution as nanomaterial into the low cemented fly ash (Class F – fly ash) to improving various properties of a local available silty soil. The various tests such as light compaction test, unconfined compression test, direct shear test, liquid limit, and plastic limit test were performed on the newly formed matrix to check their respective behavior to stimulated actual site condition on the given matrix in the laboratory. Also Scanning Electron Microscopy (SEM) analysis was performed to study the structure of the newly formed matrix. The addition of small proportion GO in original soil-fly ash matrix decrease the plasticity index and at the same time increase the maximum dry density, unconfined compression strength, and cohesion value help to use newly soil matrix effectively. 07 30 2019 1732 1737 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3692.078219 https://www.ijrte.org/portfolio-item/B3692078219/ Department Civil Engineering, Centurion University of Technology and Management, Odisha, India. Siba Prasad Mishra Kumar Charan Sethi Department Civil Engineering, Centurion University of Technology and Management, Odisha, India. Durga Prasad Mishra Ganesh Bhawan, Old Sadar Thana lane, Puri, Odisha, India. Mohammed Siddique Department Mathematics, Centurion University of Technology and Management, Odisha, India Cyclonic disturbances in the Bay of Bengal are natural, recurrent, and a regular devastator to the east coasts of Ceylon and India (especially to Odisha coast), Bangladesh and Myanmar. The destruction depends upon the frequency, intensity, place of formation, life span in Bay, SST, ENSO, El Nino Modoki, Indian Ocean Dipole, boreal summer atmospheric phenomena, Madden–Julian oscillation and the climatology of India’s mainland. The effective management of these vulnerable storms can reduce fatalities, degradation to environment and socio-economic consequences. The investigation to decadal trend of pre-monsoon bay disturbances for last 129 years reveals that the decadal distributions of cyclonic disturbances in BOB were irregular. From last 30 years pre-monsoon landfall data (1990 to 2019) divulges that frequencies of CS in BOB are increasing during La-Nina Modoki years than normal La-Nina years. The frequencies of SCS increase during warm, strong La-Nina years than La-Nina Modoki years and particularly during negative ONI events, La Nada, Strong ENSO, high PIOD events. Individually the events may not be conclusive regarding conceive strong pre-monsoon cyclonic storms but they become severe when taken in combination. 07 30 2019 4895 4908 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3694.078219 https://www.ijrte.org/portfolio-item/B3694078219/ Assistant professor at MMCOE, Pune, India. Swati Shekapure Dipti D. Patil Associate professor at Department of Information Technology, MKSSS's Cummins College of Engineering for women, Pune, India. Step by step eLearning is developing pattern in industry. To the extent, learning technique is concerned it has been seen that conventional learning strategy, for example, instructor and learner as well as chalk and duster swings too inventive learning. Because of innovation in technology each one started learning by utilizing web. If learner is asking for particular learning material sometimes they are not getting relevant result. So there is need to acquire certain data of learner. This data incorporates their learning style, foundation learning, Knowledge level, learning interest, age and so forth. This proposed system tends to use retrieve, reuse, revise and retain phases of CBR. For construction of customized eLearning there has been identification of various list of features. In light of list of features there has been task of assignment of priorities according to need of it. Before retrieval process standardization of features set process is carried out. Job of K-nearest neighbour strategy to recognize impeccable k factor for better examination. Because of dynamically incremental dataset this work identifies which classification algorithm has more suitable for the dataset. Eventually eLearning saves time, enhance learning experience and provides academic success. 07 30 2019 5988 5991 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3696.078219 https://www.ijrte.org/portfolio-item/B3696078219/ Department of Mechanical Engineering (Heat Transfer), School of Mechanical and Civil Engineering, MIT Academy of Engineering, Alandi, Pune, Maharashtra, India. Urmila C. Dhainje Dr. A. G. Kamble Department of Mechanical Engineering, School of Mechanical and Civil Engineering, MIT Academy of Engineering, Alandi, Pune, Maharashtra, India. Hydraulic coolers are most commonly preferred cooling source in industry. The progress in past few years have offered high efficiency and reliable hydraulic component, yet hydraulic cooling circuit design is often neglected part of development. One aspect of the hydraulic cooling circuit design is prevention of overheating hydraulic oil. Allowing oil temperature rise beyond particular limit can increase the power consumption and reduce the life of a system due to poor lubrication, higher internal leakage, higher risk of cavitation’s and damage component. Now-a-days shell and tube type oil coolers with water as the cooling medium are used as hydraulic oil cooler, these are extremely bulky and running cost is high hence it is needed to be replaced by another system that will be air cooled to make provision for lower space consumption and cost reduction. This paper discusses the design and development of innovative oil cooler heat extraction system using heat pipe. Designs of fins preferred are namely the straight fin system with fins projected outward in eight channels. The equipment developed is first model using Unigrafix Nx-8 and steady state thermal analysis of fins is done in Ansys workbench 16.0. A simple, compact, high efficiency, low cost device is developed, also a new technology of heat pipe embedded oil cooler is learnt in this present work. This paper discusses the performance of heat pipe embedded oil cooler in terms of LMTD, overall heat transfer coefficient and effectiveness. Further it discusses the performance evaluation of the straight fin setup. 07 30 2019 5598 5603 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3700.078219 https://www.ijrte.org/portfolio-item/B3700078219/ Department of Mechanical Engineering NMIT Bengaluru, Karnataka, India Naveenkumar Parag J Deshpande UAV Division, CSIR-NAL Bengaluru Ravi Dodamani UAV Division, CSIR-NAL Bengaluru Roshan Antony UAV Division, CSIR-NAL Bengaluru Girish Prasad M Department of Mechanical Engineering NMIT Bengaluru In the present work, we have focused on the understanding of the effect of gap between micro propellers in coplanar and in coaxial arrangements on the thrust generation experimentally. In a way it’s a preliminary optimization of the spacing and placement of the micro propellers in a multirotor UAV system. APC 12-inch diameter (D) (12X8 E) and Master air screw (MAS) 11-inch diameter (11X6) propellers each 2 in numbers were considered in the study. A static testing rig was built with a provision to mount the propellers in coplanar and in coaxial arrangements. A thrust was measured using a single component load cell. Parameters like current consumption by BLDC motors and propeller RPM were also monitored. For coplanar arrangement, there is no influence of gap (G) between the propellers on the coefficient of thrust (CT). However, for G/D<0.2 random variation in CT is observed. Similarly, for propellers in coaxial arrangement, for smaller gap between the propellers along the axis is found to generate higher thrust. This optimization of the gap between the propellers may be lead to a compact multi-rotor UAV system having higher payload carrying capacity or higher endurance. 07 30 2019 5992 5995 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3702.078219 https://www.ijrte.org/portfolio-item/B3702078219/ 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 4909 4914 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3706.078219 https://www.ijrte.org/portfolio-item/B3706078219/ Department of Computer Science & IT, Amrita School of Arts & Sciences Kochi, Amrita Vishwa Vidyapeetham India Aiswarya Vijayakumar A S Mahesh Department of Computer Science & IT, Amrita School of Arts and Sciences Kochi, Amrita Vishwa Vidyapeetham, India. Quality assessment of water is one of the basic points which have pulled in a lot of thought in the progressing years. Diverse kinds of classification system are most convenient for the examination in this field of study. The present examination investigates the quality of ground water in Agastheeswaram which is located in Tamilnadu. Totally 138 water samples was accumulated in the midst of pre-monsoon (PRM) and post-monsoon (PSM) from the year of 2011 to 2012.The water quality (WQ) evaluation was carried out by assessing chemical parameters for both the seasons. This paper explores various classifier models such as DT, KNN and SVM to achieve prediction of groundwater quality. The classification is done based on the WQI of each sample. A near investigation of characterization systems was done dependent on the confusion matrix, accuracy, f1 score, precision and recall. The outcomes propose that SVM is a better method having high accuracy rate than other models. 07 30 2019 5996 6003 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3709.078219 https://www.ijrte.org/portfolio-item/B3709078219/ Assistant Professor in Department of Electronics, in UMIT, SNDT Women’s University, Mumbai. Arundhati Y. Niwatkar Dr. Y. K. Kanse Associate Professor in Department of Electronics,, Karmaveer Bhaurao Patil College of Engg, Satara,India. Speaker recognition is the task in which the speaker is identified based on various features from his speech. Speaker recognition is combination of various mathematical operations in which training and testing is the major part. For speaker recognition its very important to extract the features. So far many researches are going on about feature extraction techniques like MFCC, IMFCC etc. In which features can be extracted, but for the exact speaker recognition its very important to get the exact and accurate features so that we can increase the success rate of speaker recognition. For any speaker recognition system feature extraction is the primary and very important step. So the precise result depends on the accurate result of feature extraction technique. In this paper we are proposing a modified feature extraction system. 07 30 2019 6429 6432 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3719.078219 https://www.ijrte.org/portfolio-item/B3719078219/ Plekhanov Russian University of Economics, Moscow, Russian Federation. Irina Anatolievna Kiseleva Mikhail Samuilovich Gasparian Plekhanov Russian University of Economics, Moscow, Russian Federation. Elena Nikolaevna Chernysheva Plekhanov Russian University of Economics, Moscow, Russian Federation. Tatyana Nikolaevna Voronkova Plekhanov Russian University of Economics, Moscow, Russian Federation. Irina Sergeevna Androshina Moscow Energy Institute, Moscow, Russian Federation. The article is devoted to the relevant topic which is assessment of the insolvency (bankruptcy) of enterprises. The instability of a complex socioeconomic system is intensifying in the market economy, which is difficult to fully study and understand. Modern business is being run in a highly competitive environment. Adequate decision-making requires a deep, comprehensive assessment of the situation and a reliable forecast of events. A firm that has managed to correctly forecast the situation receives more profit than a firm that abstained from forecasting. The firm that made the wrong forecast loses the most. The main types of models for assessment of the bankruptcy probability for enterprises and the factors influencing them in the course of making decisions have been considered in this article, and the bankruptcy probability for Megafon PJSC based on various models has been studied. A comparative analysis of the models for assessment of the bankruptcy probability for enterprises has been conducted. The methods of cognition, retrospective and documentary analysis, as well as synthesis, generalization, and systematization were used in the article. 07 30 2019 6304 6310 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3722.078219 https://www.ijrte.org/portfolio-item/B3722078219/ Plekhanov Russian University of Economics, Moscow, Russian Federation. Irina Anatolievna Kiseleva Elena Nikolaevna Chernysheva Plekhanov Russian University of Economics, Moscow, Russian Federation. Mikhail Samuilovich Gasparian Plekhanov Russian University of Economics, Moscow, Russian Federation. Tatyana Nikolaevna Voronkova Plekhanov Russian University of Economics, Moscow, Russian Federation. Irina Sergeevna Androshina Moscow Energy Institute, Moscow, Russian Federation. The article is devoted to the relevant topic which is assessment of the insolvency (bankruptcy) of enterprises. The instability of a complex socioeconomic system is intensifying in the market economy, which is difficult to fully study and understand. Modern business is being run in a highly competitive environment. Adequate decision-making requires a deep, comprehensive assessment of the situation and a reliable forecast of events. A firm that has managed to correctly forecast the situation receives more profit than a firm that abstained from forecasting. The firm that made the wrong forecast loses the most. The main types of models for assessment of the bankruptcy probability for enterprises and the factors influencing them in the course of making decisions have been considered in this article, and the bankruptcy probability for Megafon PJSC based on various models has been studied. A comparative analysis of the models for assessment of the bankruptcy probability for enterprises has been conducted. The methods of cognition, retrospective and documentary analysis, as well as synthesis, generalization, and systematization were used in the article. 07 30 2019 6433 6439 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3723.078219 https://www.ijrte.org/portfolio-item/B3723078219/ M.phil Research Scholar in Department of Management Studies in DKM College for Women Vellore, India N.Anisha Parveen V.S. Palaniammal Assistant Professor of Management Studies in DKM College for Women Vellore, India Dual Career Couples, to be precise in the southern part of India which is referring to the metropolitan states like Tamil Nadu, Karnataka etc., are in a very huge numbers. As this tremendous increase in the commuting couples rise has the best logical explanation / factors such as the inflation, financial management of their family, children’s education, MNC’s establishment in a very big major city like Chennai have been cited as the best reason for migrating from their own places to the capital of Tamil nadu, i.e., Chennai. There might be some miscommunication that this lifestyle leads to chaos as we can see for ourselves that most people we came across are falling into this category. 07 30 2019 5453 5455 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3724.078219 https://www.ijrte.org/portfolio-item/B3724078219/ ME student in Computer Science and Engineering Department of Government College of Engineering Aurangabad. Tanaya Jadhav Meghana Nagori Lecturer / Associate Professor / Data Science To assess the quality of food is a major challenge the food industry faces today. It is of utmost importance to test it for contaminates and non-edible material that may be present. To overcome these challenges metagenomic classification is majorly useful. Several researches involve various classification techniques and their studies. Difficulties in metagenomic classification include increasing number of genomes thereby requirement of computational methods to have high speed as well as high accuracy so as to compare DNA sequences to genomes. Centrifuge is a classification tool for quantification of species present in a sample so as to monitor the quality of the same. Given a food sample Centrifuge effectively classifies the species present in it enabling a timely and accurate analysis. 07 30 2019 6404 6407 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3725.078219 https://www.ijrte.org/portfolio-item/B3725078219/ Faculty of Civil and Environmental Engineering, Universiti Tun Hussein Onn Malaysia (UTHM), M. A. Omar J. Jailani Faculty of Civil and Environmental Engineering, Universiti Tun Hussein Onn Malaysia (UTHM). M. A. Zakaria Faculty of Civil and Environmental Engineering, Universiti Tun Hussein Onn Malaysia (UTHM). The expeditiously growing world energy use has already increased the concerns over supply difficulties, consumption of energy resources and environmental impacts. Malaysian Government has spent about RM 2.5 billion for public buildings energy cost every year including nearly RM 400 million was spent for public universities energy cost alone. The study conducted to investigate the effect of occupant’s behaviour and preference that may affect comfort level and energy use in university buildings. A survey carried out to identified occupant’s behaviour and comfort related to energy consumption in the building. Sets of the questionnaire were prepared to be distributed among occupants of the building understudies. Based on the result, occupants prefers to have automated system for both lighting and ventilations to achieve comfort level in the classroom. Furthermore, highly correlated for automated system for both lighting and ventilation are consistently preferred by occupants; which indicate that occupants have consistently agree on automated system compared to standard switching. It could be concluded that occupant’s behaviour and preference can affect the energy use in the buildings. 07 30 2019 6008 6013 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3729.078219 https://www.ijrte.org/portfolio-item/B3729078219/ CSE department, S.R.K.R. Engineering College, Bhimavaram, India. M. Bhargavi P.Bharath Siva Varma CSE department, S.R.K.R. Engineering College, Bhimavaram, India. Preparing of therapeutic data for the foremost half incorporates operation, data storage and data sharing etc. Usual social services framework often wants the conveyance for restorative data to cloud which incorporates purchasers touchy information and cause correspondence. For intents and functions, restorative data sharing is basic and testing issue. Be that because it could, there has been protection worries as on the brink of home well-being information can be bestowed to those outsider servers, and to unapproved parties. To ensure the patient's authority over accessing their Personal Health Records (PHR), it is a promising strategy to cipher the PHR before reappropriating. However issues, as an example; danger of protection introduction, ability in key administration, adaptable access, and skillful client denial, have remained the foremost very important difficulties towards accomplishing fine-grained, typographically approved data gets to regulate. During this paper, we tend to propose a completely unique patient driven system and a set of parts for data gets regulate to PHR place away in semi confided in servers. To accomplish fine-grained and versatile data gets to regulate for PHR, we tend to influence Attribute based encryption coding (ABE) strategies to cipher each patient's PHR document. Distinctive in respect to past works in secure information redistributing, we tend to center on various data owner state of affairs, and gap the purchasers within the PHR frame-work into numerous securities areas that very lessens the key administration many sided nature for proprietors and purchasers transportable cloud let. A high-level of patient protection is ensured whereas by misusing multi-specialist ABE. Our commit to boot empowers dynamic modification of access strategies or record qualities, bolsters effective for the asking client/characteristic repudiation and break glass access below crisis things. Broad scientific and trial results as displayed that demonstrate the protection, ability, and productivity of our set up. 07 30 2019 6064 6019 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3730.078219 https://www.ijrte.org/portfolio-item/B3730078219/ PG Student, Dept of Electronics & Instrumentation, Shri Govindram Seksaria Institute of Technology & Science, Indore ,(M.P.), India Surbhi Nema Pramod Kumar Jain Associate Professor, Dept of Electronics & Instrumentation, Shri Govindram Seksaria Institute of Technology & Science, Indore ,(M.P.), India Devendra Singh Ajnar Associate Professor, Dept of Electronics & Instrumentation, Shri Govindram Seksaria Institute of Technology & Science, Indore ,(M.P.), India 32 tap FIR Filter is designed utilizing Vedic multiplier and Kogge stone adder. Effective performance is important for FIR Filter design due to increasing complexity. Two basic opertaions of FIR Filter are multiplication and addition. So, for multiplication, vedic multiplier is used and addition is performed by KS adder which is faster than other adders like Ripple carry adder, Look ahead carry adder, Carry select adder etc. K S adder is used to overcome problem of carry propagation. The objective is to minimize the propagation delay i.e increasing the speed of filter. Synthesis & simulation is done by Xilinx ISE 14.7 software tool using VHDL. 07 30 2019 6138 6141 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3731.078219 https://www.ijrte.org/portfolio-item/B3731078219/ Department of Entrepreneurship Economics, St. Petersburg State University of Economics, St. Petersburg, Russia. Elena Vasiljevna Yaluner Olga Alexandrovna Chesnova Department of Management of Economic and Social Processes in Film and TV Industry, St. Petersburg State Institute of Film and Television, St. Petersburg, Russia. Sergey Anatoljevich Ivanov St. Petersburg State University, St. Petersburg, Russia. Darya Georgievna Mikheeva Department of Management and Planning of Socio-Economic Processes, Saint Petersburg State University, St. Petersburg, Russia. Yana Alexandrovna Kalugina Department of Banks, Financial Markets and Insurance, St. Petersburg State University of Economics, St. Petersburg, Russia. The goal of the work is to analyze the essence of socio-economic environment of entrepreneurship and prospects for the interaction of socio-economic environment of entrepreneurship and business entities using the example of the North-Western region of Russia. To achieve this goal, the method of statistical analysis was used to determine the dynamics of entrepreneurship development in the North-Western Federal District. The method of expert survey was used to identify priority areas for improvement of external business sustainability of small and medium-sized enterprises at the regional level. The article justifies the relevance of the study of the socio-economic environment of entrepreneurship. The authors consider various scientific approaches to determining the nature and importance of business environment, which is understood as a set of conditions and factors that influence the business sector and become the basis for entrepreneurs’ actions on the development of their activity. The article provides statistical data characterizing the dynamics of the development of the business sector in the territory of the North-Western Federal District. It determines priority areas to increase small and medium-sized enterprises’ external business sustainability at the regional level based on the institutional infrastructure of risk prevention and analyzes the effective infrastructure for support of the business activity. 07 30 2019 6020 6025 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3732.078219 https://www.ijrte.org/portfolio-item/B3732078219/ Ph.D in Computer Science in the Department of Computer and Information science in Annamalai University. Aamir Yousuf Bhat Suhasini Professor in the Department of Computer Science and Engineering, Annamalai University. Osteoarthritis is the most broadly recognized disease in the knee joint that affects the cartilage, especially among the old age or overweight people. In the normal knee joint, the smooth and thin layer called cartilage covers the joint space of the bone and makes the joint smooth and prevents them from rubbing against one another, but can break, when the cartilage gets ruptured due to which bones start rubbing with one another, and this may cause severe pain, swelling and stiffness in the knee joint. The evaluation for osteoarthritis detection includes a clinical examination, and different medical imaging techniques are X-RAY images and MRI scans. There is developing method required for classification frameworks that can precisely distinguish and identify knee OA from plain radiographs. In this method we have examining the strategy of computer aided diagnosis for early identification of knee OA. Based on the procedure of x rays through computer image processing, segmentation, feature extraction and investigation by means of building a classifier, a viable computer aided detection method for knee was made to help specialists in their precise, convenient and identification of potential risk of OA. For this method a total of 126 knee x ray image were collected for assessing the knee OA. In this paper, we tried to diagnose about the normal or abnormal detection of cartilage depreciation. The HOG and DWT features are extracted from X-ray images of the knee joints. The extracted features are classified with two different machine learning classifiers, namely the SVM and ANN Patternet classifiers, and the results are demonstrated. The SVM classification is good when compared with ANN and provides a satisfactory accuracy rate of 85.33%. At last the classifier was superior both in time effectiveness and classification execution to the regularly utilized classifiers based on iterative learning. In this way it was suitable to utilize as a computer aided tool for the diagnosis of OA. 07 30 2019 6026 6033 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3733.078219 https://www.ijrte.org/portfolio-item/B3733078219/ School of Electrical Engineering, Vellore Institute of Technology (VIT), Chennai, India. Sujitha N Krithiga S. Corresponding author, School of Electrical Engineering, Vellore Institute of Technology (VIT), Chennai, India. Wind energy conversion system fed EV battery charging system using single phase bridgeless cuk converter is proposed in this paper. PMSG is employed in the WECS to convert the mechanical energy into electrical ac power. In standalone wind energy conversion systems, two stage ac-dc & dc-dc converters are employed to obtain the desired output. The bridgeless cuk converter employed in the proposed charger is a single stage converter which acts as rectifier as well as dc-dc converter. The bridgeless cuk converter converts the ac voltage generated from PMSG into a desired dc voltage for charging the battery of an electric vehicle. Thus, an intermediate stage of power conversion is reduced in the proposed system. Also, a simple output voltage controller is employed in the proposed system to charge the electric vehicle battery with constant voltage irrespective of the wind speed. The proposed off-board EV battery charger is simulated in Simulink environment of MATLAB software and the results obtained are furnished in this paper. The experimental investigation has been carried out in the developed laboratory prototype of the EV battery charging system and the obtained results are furnished in this paper. 07 30 2019 6034 6039 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3735.078219 https://www.ijrte.org/portfolio-item/B3735078219/ Computer Science & Engineering, VSSUT, Burla, Odisha, India. Nibedan Panda Dr. Santosh Kumar Majhi Computer Science & Engineering, VSSUT, Burla, Odisha, India. This paper focuses on training multilayer perceptron (MLP) using a recently proposed meta-heuristic algorithm termed as Spotted Hyena Optimizer (SHO). To test the efficacy of the said algorithm fifteen standard datasets are used. At the same time the result of the proposed method is examined by some popular heuristic training algorithms such as Differential Evolution (DE), Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Salp Swarm Algorithm (SSA) and Grey Wolf Optimization algorithm (GWO). Final result shows that SHO successfully avoids the local minima trap problem, simultaneously showing higher accuracy in classification as compared to other meta-heuristic methods. The statistical significance of the proposed SHO-MLP has been verified by deploying the Friedman & Holm’s test. It has been observed that the SHO-MLP is giving promisingly better result than other compared method for training MLP. 07 30 2019 4915 4927 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3736.078219 https://www.ijrte.org/portfolio-item/B3736078219/ Assistant Professor, Dept of Applied Mathematics, GIS, GITAM (Deemed to be University), Andhra Pradesh, India. G. Nagalakshmi Prof. A. Chendra Sekhar Dept of Applied Mathematics, GIS, GITAM (Deemed to be University), Andhra Pradesh, India. Prof. N. Ravi Sankar Dept of Applied Mathematics, GIS, GITAM (Deemed to be University), Andhra Pradesh, India. K. Venkateswarlu Assistant Professor, Dept of Computer Science, GIT, GITAM (Deemed to be University), Andhra Pradesh, India. Encryption and Decryption schemes based on applications of Laplace Transforms are unable to provide more security to communicate the information. Rivest, Shemir, Adleman (RSA) Cryptosystem is popular public-key algorithm. This paper provides the conditions that give rise to the RSA Cryptosystem based on the Laplace Transform techniques. The modified RSA cryptosystem is explained with an algorithm. The proposed algorithm is implemented using a high level program and time complexity of the proposed algorithm is tested with RSA cryptosystem algorithms. The comparison reveals that the proposed algorithm enhances the data security as compare with RSA cryptosystem algorithms and application of Laplace Transform for cryptosystem scheme. The statistical analysis for the proposed and existing algorithms is provided 07 30 2019 6142 6147 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3737.078219 https://www.ijrte.org/portfolio-item/B3737078219/ Associate Professor in the department of Electronics and Communication Engineering, Vels Institute of Science, Technology and Advanced Studies, Chennai. India. A Vijayalakshmi Ebenezer Abishek B Assistant Professor in the department of Electronics and Communication Engineering, Vels Institute of Science, Technology & Advanced Studies, Chennai C Arul Stephen Assistant Professor in the department of Electronics and Communication Engineering, Vels Institute of Science, Technology & Advanced Studies, Chennai Emerging Internet of Things technology plays the major role in modern healthcare not only for sensing but also in recording, communication and display results. The major role of an intensive care unit (ICU) is to improve patient health such as bringing about a change in the treatment or move the patient to a step-down unit etc. Monitoring also shows the extent of observance with a formulated standard of care. In ICU, care should be taken to monitor medical parameters, such as EEG, EMG, BP etc , continuously. In recent health care applications such as real time human health condition monitoring, patient information management etc, IoT technology brings convenience of general practitioner and human, since it is applied in various medical areas, the Body Sensor Network (BSN) is one of the main technology of IoT based medical applications, where a tiny smart and lightweight wireless sensor nodes are used for monitoring patient’s health condition. Hence, this paper proposes BSN integrated with IoT based sensor fusion algorithm to save human life those who are in critical condition. Sensor fusion algorithm is used to detect the criticality of the patient’s health condition and IoT technology is used for communicating information. The testbed has been developed using Rasberry Pi controller, EMG sensor,, BP sensor etc and tested. The tested results also analyzed. 07 30 2019 6040 6046 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3738.078219 https://www.ijrte.org/portfolio-item/B3738078219/ School of Computer science and Engineering , Vellore Institute of technology , Vellore, India. Divya Mohan Geetha Mary.A School of Computer science and Engineering , Vellore Institute of technology , Vellore, India Nowadays, the number of internet users is increasing vastly. Hence, predicting the number of channels for user’s communication is a major task. Therefore, scheduling of all traffic flows within the communication services in Long Term Evolution (LTE) scheduling is done by verifying the channel information and user availability in the network. In view of that, this paper proposes a novel feature extraction and classification method to evaluate the user availability status and the channel information for the betterment of communication within the LTE network. For preprocessing, we present a Fast Independent Component Analysis (FICA) method which incorporates dimensionality reduction in the given input feature data during the training course. In this work, feature extraction algorithm is used to extract the network feature and its degree of angle by means of distance between the features set. Subsequently, analyzes the extracted categories of network architecture by the analyzing weight value of that attribute based on the responses. As a result both the feature identification and framing of network structure increases the performance of data mining analysis. Hence, proposing a novel optimization technique like Particle Connected Cuckoo Search (PCCS) optimization algorithm for selecting the best features in the training feature set. Based on the extracted features, the classification method is performed in order to predict the network category by using Multilevel Neural Network (MLNN) classification technique. At this point, a novel kernel model for classification process is incorporated to reduce the time complexity. After that, the information is passed to the LTE scheduling system for providing enhanced communication. The comparative analysis between proposed techniques with the existing methods such as naive Bayes, stacking C, DTNB, random forest, J48, Ridor, decision table, zero R, grading in terms of accuracy, RMSE, CCI, ICI assures that the effectiveness of the proposed MLNN classification method. 07 30 2019 5812 5823 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3741.078219 https://www.ijrte.org/portfolio-item/B3741078219/ Michurinsk State Agrarian University, Michurinsk, Russia Alexander Nikitin Natalia Kuzicheva Michurinsk State Agrarian University, Michurinsk, Russia Natalia Karamnova Michurinsk State Agrarian University, Michurinsk, Russia The purpose of this paper is to adapt theoretical knowledge to derive practical recommendations on developing agriculture with a view to finding solutions to the problem of building up economic potential. The paper substantiates the relevance of further development of agriculture, emphasising the role of the industry in sustaining stable operation and development of the agro-industrial sector in general. The authors have shown that the identified conditions of efficient agricultural reproduction of the expanded type are not yet fully established. The conducted analysis of the state of Russian agriculture has shown that the industry has built sufficient capacity not just to supply its own needs from inner sources, but also has stable positions in the global market in grain and sunflower oil production; national requirements are fully met in egg products, pork and poultry meat, white sugar; a deficit in commodity supply, nationally, exists in fruit, berries, grape, vegetables, beef, milk. No expanded reproduction is yet attained in horticulture, vegetable farming, cattle farming. The reason for this condition is the high capital intensity and low capital turnover rate in production, on the one hand, and insufficient infrastructure profile, on the other hand. Moreover, the reserves for production growth lie in the active engagement of minor agricultural producers and private households to the mass market. Alongside the issues of resource supply, systematic state support of the agricultural sector should also address measures to ensure and regulate guaranteed marketing of agricultural products. 07 30 2019 5824 5829 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3744.078219 https://www.ijrte.org/portfolio-item/B3744078219/ Siberian Federal University, Krasnoyarsk, Russia. Alexander Pavlovich Pavlov Pavel Aleksandrovich Pavlov Siberian Federal University, Krasnoyarsk, Russia. Denis Vladimirovich Lvov Siberian Federal University, Krasnoyarsk, Russia. Alexey Sergeevich Novikov Siberian Federal University, Krasnoyarsk, Russia. Irina Georgievna Sinkovskaya Siberian Federal University, Krasnoyarsk, Russia. Dmitry Vladimirovich Rakhinsky Krasnoyarsk State Agrarian University, Krasnoyarsk, Russia. The article deals with the modern order (world order) in the context of modern social reality. This is due to the need to identify and diagnose the current socio-cultural situation in the world. It is suggested that modern social and socio-political orders, as well as world order patterns and mechanisms, are unable to reproduce the value identity of societies. This is partly due to the disruption of the "super doctrines", "pictures of the world", which for many centuries held social identity around a common substantive core, namely, national, religious, or political ideology. The article also discusses the role of individuals in the course of social reproduction, as well as presents general arguments about the increasing role of the human factor and the need for more efficient use of human capital. 07 30 2019 6148 6153 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3745.078219 https://www.ijrte.org/portfolio-item/B3745078219/ Department of Electrical Engineering, Marwadi University, Rajkot, India Krishna Patel Dr. Bhupendra Parekh Department of Electrical Engineering, Birla Vishvkarma Mahavidyalaya, V.V.Nagar, India Dr. Dinesh Kumar Department of Electrical Engineering, Marwadi University, Rajkot, India The uninterrupted power supply is one of the main concerns for the power utility which is often adversely affected by the flashover of the outdoor insulators. The main cause of the flashover of outdoor insulator is the contaminated pollution on its surface which is more severe for the insulators located nearer to the seashore. At such sites, insulators have to be washed regularly to avoid flashover which is an expensive and time-consuming process. So it is required to optimize the washing schedule. When the contamination is severe on the surface of the insulator, it allows the flow of the leakage current (LC) which turns into the flashover. The LC is a good indication for predicting the flashover. LC measurement and instrumentation system in real tower insulator is complex and expensive. In this paper, a prediction method is developed which predicts the LC at the level of starting of the arc which may turns into a flashover. An artificial neural network based model is developed which predicts the leakage current for the different polluted condition and humidity level. An experimental setup is prepared and subsequently data is taken to acquire LC on different relative humidity and equivalent salt deposit density (ESDD). Subsequently, a neural network model is constructed with the experimental data to predict LC. A single layer feed forward network based a predictive model performs LC prediction with the average error of 5.46% from the real values which is acceptable in case of alarming situations. 07 30 2019 6258 6266 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3746.078219 https://www.ijrte.org/portfolio-item/B3746078219/ SIWEB Team, Ecole Mohammadia Des Ingénieurs, Mohammad V University of Rabat, Rabat, Morocco Ikram Akkiyat Nissrine Souissi Computer Science Department Rabat School of Mines, Rabat, Morocco & SIWEB Team, Mohammadia School of Engineering, Mohammed V University, Rabat, Morocco Risk management is defined as an essential step in the improvement process proposed under the standard ISO 9001: 2015. The guidelines to the process of risk management have been proposed since 2009 by the International Standardization Organization (ISO). But before, organization and institutions have their own way to manage risk. An analysis of risk management processes in the literature has been realized in order to identify the standard process. Unified Modeling language (UML) was used to present this meta model. The purpose of this paper is to propose a risk management process model based on ISO 31000: 2018 and following the recommendations of ISO 9001: 2015 by integrating risk management modeling in process modeling. 07 30 2019 5830 5835 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3751.078219 https://www.ijrte.org/portfolio-item/B3751078219/ Department of computer science and information technology, Siksha O Anusndhan University, Bhubsneswar, Odisha, India Arup Kumar Mohanty Debahuti Mishra Department of computer science and engineering ,Siksha O Anusndhan University, Bhubsneswar, Odisha, India The market of foreign exchange is very huge, complex, and volatile in nature. Prediction task for this market is highly challenging as the data is highly chaotic, volatile and noisy. In this work Artificial Neural Networks (ANN), Functional Link Artificial Neural Network (FLANN), Extreme Learning Machine (ELM) are the models used to predict the price. Simple Moving Average (SMA), Stochastic Oscillator, Exponential Moving Average (EMA), Momentum, Moving Average Convergence Divergence(MACD), Average True Range (ATR), Relative Strength Index (RSI), are different technical indicators used by economists to gain an insight into the market and predict the exchange rate of currency. Generally technical indicators are calculated from price, open price, low price, high price, change percentage. The proposed network is optimized by Genetic algorithm (GA), Differential Evolution (DE), Particle Swarm Optimization (PSO), Water Cycle Algorithm (WCA). The dataset collected for this experiment comprises of 4000 days of past currency exchange rates of the two currency pairs that is USA Dollar (USD) to Indian Rupees (INR) (USD\INR) and Soudi Arabia Riyal (SAR) to INR (SAR\INR). The proposed datasets are segregated into many parts and each part is trained individually. Optimization techniques such as GA, DE, PSO and WCA deployed in segregated datasets as well as the whole dataset. The experimental result shows that the segregated WCA is giving the better result when WCA applied on the whole dataset. The ELM and WCA with segregated dataset produces better result than other models what experimented in this work. 07 30 2019 4738 4748 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3753.078219 https://www.ijrte.org/portfolio-item/B3753078219/ Electronics and Communications Engineering Department, De La Salle University, Manila, Philippines. Ryan Joshua Liwag Kevin Jeff Cepria Electronics and Communications Engineering Department, De La Salle University, Manila, Philippines. Anfernee Rapio Electronics and Communications Engineering Department, De La Salle University, Manila, Philippines Karlos Leo Castillo Electronics and Communications Engineering Department, De La Salle University, Manila, Philippines. Melvin Cabatuan Electronics and Communications Engineering Department, De La Salle University, Manila, Philippines. This paper presents the design and development of an embedded system for ‘Carabao’ or Philippine mango sorting utilizing deep learning techniques. In particular, the proposed system initially takes as input a top view image of the mango, which is consequently rolled over to evaluate every sides. The input images were processed by Single Shot MultiBox Detector (SSD) MobileNet for mango detection and Multi-Task Learning Convolutional Neural Network (MTL-CNN) for classification/sorting ripeness and basic quality, running on an embedded computer, i.e. Raspberry Pi 3. Our dataset consisting of 2800 mango images derived from about 270 distinct mango fruits were annotated for multiple classification tasks, namely, basic quality (defective or good) and ripeness (green, semi-ripe, and ripe). The mango detection results achieved a total precision score of 0.92 and a mean average precision (mAP) of over 0.8 in the final checkpoint. The basic quality classification accuracy results were 0.98 and 0.92, respectively, for defective and good quality, while the ripeness classification for green, ripe, and semi-ripe were 1.0, 1.0, and 0.91, respectively. Overall, the results demonstrated the feasibility of our proposed embedded system for image-based Carabao mango sorting using deep learning techniques. 07 30 2019 5456 5462 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3754.078219 https://www.ijrte.org/portfolio-item/B3754078219/ Manufacturing Section, Universiti Kuala Lumpur-Malaysia Italy Design Institute, Kuala Lumpur, Malaysia. Azreen Zainol M.Z.A. Yazid Manufacturing Section, Universiti Kuala Lumpur- Malaysia Italy Design Institute, Kuala Lumpur, Malaysia. This research deals the experimental works on the effect of minimum quantity lubrication (MQL) and dry cutting towards the cutting tool life and chip morphology in high-speed milling of aluminum alloy 7075-T6 with uncoated carbide tools. MQL and dry cutting were eco-friendly approaches that highlight essential issues in the field of manufacturing technology. Thus, further investigation required to observe the intensity of those approaches. The experiment was done on computer numerical control (CNC) five axes milling machine at distinct machining parameters, which are cutting speed (500 and 600 m/min), feed rate (0.12 and 0.15 mm/tooth) and axial depth of cut (1.4 and 1.7 mm), while the radial depth of cut restricted to 7 mm. The effect of fluid approaches and machining parameters on eight samples have analyzed the result of the setting of three factors and two levels in accordance with the full factorial design and analyzed further using ANOVA. The MQL flow rate was set at 100 mL/h. The tool life criterion was determined when the tool wear failure reached 0.30 mm. The chips collected from all machining conditions were taken to be examined using an optical microscope. The empirical model of tool life for the MQL and dry cutting has been developed within the experimental ranges evaluated. The prolonged tool lifespan beyond 20.14 minutes and favorable chip formation were obtained at 500 and 600 m/min, 0.12 mm/tooth, and 1.40 mm, respectively under MQL 100 mL/h. MQL 100 mL/h appeared to be one fit for metal cutting industry that prioritizes clean and green machining as well as the use of appropriate machining parameters as it leads to economic benefits in terms of fluid cost-saving and the better machinability. 07 30 2019 5900 5905 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B13755.078219 https://www.ijrte.org/portfolio-item/B3755078219/ Computer Science and Engineering, Centurion University of Technology and management, Bhubaneswar, Odisha, India. Sasmita Kumari Nayak Chandra Sekhar Panda Computer Science and Application department, Sambalpur University, Odisha, India. The multiple processor scheduling problem characterizes that different processor comprises of an arrangement of jobs or tasks designate proficient utilizing a limited number of processors. Herein development a multi-objective algorithm utilizing Symbiotic Organisms Search algorithm (SOSA) for scheduling an arrangement of reliant on tasks on obtainable resources in a multiple processor environment which minimizes the execution time and maximize the processor utilization. SOSA is a nature-inspired meta-heuristic algorithm utilized to compare with other meta-heuristic algorithms such as Water cycle algorithm (WCA), Genetic algorithm based Bacteria foraging optimization (GBF), Bacteria Foraging Optimization (BFO) and Genetic Algorithm (GA). SOSA reproduces the advantageous association methodologies received by life forms to survive and engender in the biological-community (ecosystem). Based on experimental results, we find the execution time as well as processor utilization using SOSA technique and then compare with the other mentioned algorithms. Acquired outcomes affirm the incredible execution of the SOSA in solving the multiple processor scheduling problems. 07 30 2019 5463 5471 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3756.078219 https://www.ijrte.org/portfolio-item/B3756078219/ PG research Scholar, E.E.E. Dept, JNTU Anantapur, AP, India. K.Sharmila Gowd K.Jithendra Gowd Assistant Professor, E.E.E. Dept, JNTU Anantapur, AP, India. D.Dharani Lakshmi Ph.D research Scholar, E.E.E. Dept, JNTU Anantapur, AP, India In this paper analysis of 3-Terminal and 5-Terminal hybrid(cross breed) micro grid using Fuzzy logic controller is proposed. The cascaded H-bridge interfaces between supply and DAB converter. The DAB(Dual Active Bridge) converter connects between cascaded H-bridge and load. By using Zero sequence voltage (ZSV) and inner current controller improvement in grid current and voltage balance are achieved. To boost the grid current and unbalance voltage, 49 ruled fuzzy controller based scheme is used. The analysis of the concept mainly deals with maintenance of power quality and uninterruption in power supply by tuning and Fuzzy logic controlling. The cascaded H-bridge hybrid micro grid with 3-terminal or 5 terminal would have better performance only if there is balanced voltage as well uninterrupted grid current. Fuzzy logic based controller performances are analyzed through simulation results. 07 30 2019 5604 5611 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3760.078219 https://www.ijrte.org/portfolio-item/B3760078219/ Sobhasaria Group of Institutions, Sikar, India. Asha Meena Anita Garhwal Sobhasaria Group of Institutions, Sikar, India. Amity University Rajasthan, India. Kanad Ray Amity university Rajasthan, India. In this paper, design and simulation of Nature Inspired Fibonacci sequence golden spiral antenna is presented. It is based on the snail’s shell structure which is frequently found in nature. The proposed antenna geometry has its unique design and it is used for energy harvesting applications. For energy harvesting applications rectenna is designed which has an antenna, matching circuit, voltage doubler circuit and load. The antenna is designed in CST (computer simulation technology) microwave studio software. Using CST software S-parameter, surface current, E-field, H-field are simulated and results are analyzed. The antenna is simulated in 3 GHz to 10 GHz frequency band and achieves multiband return loss characteristics and positive gain at respective frequencies. 07 30 2019 6154 6160 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3761.078219 https://www.ijrte.org/portfolio-item/B3761078219/ Electronics and Telecommunication, AISSMS Institute of Information Technology, Pune, Maharashtra, India. Gauri Suresh Dabhade Milind .P. Gajare Electronics and Telecommunication, AISSMS Institute of Information Technology, Pune, Maharashtra, India. The coal mining is essential as well as a risky venture. The miners working here need to handle the extreme environmental condition and the physiological hazardous without specialized examination. A continuous monitoring of the environmental change and the physiological variables is needed in order to enhance the condition for people and the equipment. A Continuous monitoring of the environmental gases and the physiological variables is the major challenge and need to be followed for safety of workers working in mine. This paper present the design and the implementation of real time monitoring device to measure the physiological variables and the gases present in the mining. The proposed system consists of physiological variables, ECG signal, respiratory activity, body temperature, fall detection and also the environmental gases. The sensors will be embedded throughout the T-shirt to measure the variables. The device will monitor the real time data and wireless communication network will be provided by using Wi-Fi link module. By using IOT it is easy to upload the data on the web server and it also provides data security. 07 30 2019 5612 5615 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3762.078219 https://www.ijrte.org/portfolio-item/B3762078219/ Department of Computer Science, Ravenshaw University, Cuttack, India. Om Prakash Jena Sateesh Kumar Pradhan Department of Computer Science, Utkal University, Bhubaneswar, India. Pradyut Kumar Biswal Department of ECE, International Institute of Information Technology (IIIT) Bhubaneswar, India. Alok Ranjan Tripathy Department of Computer Science, Ravenshaw University, Cuttack, India. Odia character and digits recognition area are vital issues of these days in computer vision. In this paper a Hopfield neural network designe to solve the printed Odia character recognition has been discussed. Optical Character Recognition (OCR) is the principle of applying conversion of the pictures from handwritten, printed or typewritten to machine encoded text version. Artificial Neural Networks (ANNs) trained as a classifier and it had been trained, supported the rule of Hopfield Network by exploitation code designed within the MATLAB. Preprocessing of data (image acquisition, binarization, skeletonization, skew detection and correction, image cropping, resizing, implementation and digitalization) all these activities have been carried out using MATLAB. The OCR, designed a number of the thought accuses non-standard speech for different types of languages. Segmentation, feature extraction, classification tasks is the well-known techniques for reviewing of Odia characters and outlined with their weaknesses, relative strengths. It is expected that who are interested to figure within the field of recognition of Odia characters are described in this paper. Recognition of Odia printed characters, numerals, machine characters of research areas finds costly applications within the banks, industries, offices. In this proposed work we devolve an efficient and robust mechanism in which Odia characters are recognized by the Hopfield Neural Networks (HNN). 07 30 2019 4928 4937 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3763.078219 https://www.ijrte.org/portfolio-item/B3763078219/