2916f18f1823c745a21-7f55 20220727072924748 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 10 30 2019 8 12 Professor / CSE, P.S.V College of Egg. & Tech., Krishnagiri, Tamilnadu, India. Dr. S. Chandra Sekaran* Dr. V. Saravanan* Assoc. Professor/CSE, KLU, Koneru Lakshmaiah Education Foundation, AP, India. Dr. Rudra Kalyan Nayak Assoc. Prof./CSE, KLU, Koneru Lakshmaiah Education Foundation, AP, India. Dr. Ramamani Tripathy Asst. Prof./MCA, United School of Business Management, Bhubaneswar, India. Dr. S. Siva Shankar Assoc. Prof. & Head, Dept. of CSE, KGRCET, Hyderabad, India. The objective of this paper is to propose a human health aware network selection scheme for integrated WLAN and WiMAX networks by considering the velocity of the mobile device, achievable SAR value, network condition and required bandwidth. This paper investigates the handoff-related issues in WLAN/WiMAX integrated overlay network, proposed handoff algorithms for two different scenarios, and evaluated the performance of the proposed scheme with respect to both fixed and mobile devices. Also, our handoff algorithm considers the parameters like bandwidth requirement, available bandwidth, the speed of the mobile terminal, and SAR value at the time of selecting the target point of attachment. This SAR based handoff helps the mobile users in saving battery power and in reducing the biological effects such as sleep disturbance, brain tumor, depression and cancer caused by EM signals on the human body. Thus our proposed handoff scheme improves the QoS and it protects the human health. 10 30 2019 198 205 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3571.1081219 https://www.ijitee.org/portfolio-item/L35711081219/ Department of CSE, Daffodil International University, Dhaka, Bangladesh. Setu Basak* Md. Mahbub Alam Department of CSE, Daffodil International University, Dhaka, Bangladesh. Aniruddha Rakshit Department of CSE, Daffodil International University, Dhaka, Bangladesh. Ahmed Al Marouf Department of CSE, Daffodil International University, Dhaka, Bangladesh. Anup Majumder Department of CSE, Jahangirnagar University, Dhaka, Bangladesh. Mortality because of unending kidney disease increments essentially in recent years. Nowadays, about 422 million patients are suffering from diabetes among them around 30 percent of patients with Type 1 (adolescent beginning) diabetes and around 10 to 40 percent of those with Type 2 (grown-up beginning) diabetes in the end will experience the negative impacts of kidney damage. It is evident, that early detection of Chronic Kidney Disease (CKD) can mitigate the level of damage in the adulthood. In this paper, we have presented a comparative analysis based on the performance of five different algorithms-Naive Bayes (NB), In-stance Based Learning (IBK), Random Forest (RF), Decision Stump (DS) and Decision Tree (J48) for predicting CKD of diabetes patients only by urine test. Among all the algorithms the IBK gives the best result. Our comparison of different algorithms will help people with diabetes to find out if they are having CKD or not. 10 30 2019 260 209 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3572.1081219 https://www.ijitee.org/portfolio-item/L35721081219/ Research scholar, Department of Mathematics, St.Joseph’s college (Autonomous) affiliated to Bharathidasan University, Trichy. S. Jai Roselin* L. Benedict Michael Raj Associate Professor, St.Joseph’s college (Autonomous) affiliated to Bharathidasan University, Trichy. K.A. Germina Associate Professor, Central University of Kerala, India. A -coloring of a graph is the generalized coloring of a graph. Given a graph and a finite set T of positive integers containing , a -coloring of is a function for all in such that if then We define Strong -coloring (S -coloring , in short), as a generalization of -coloring as follows. Given a graph and a finite set of positive integers containing , a S -coloring of is a function for all in such that if then and for any two distinct edges in . The S -Chromatic number of is the minimum number of colors needed for a S -coloring of and it is denoted by For a S coloring of a graph we define the -span is the maximum value of over all pairs of vertices of and the S -span is defined by = min where the minimum is taken over all ST-coloring c of G. Similarly the -edgespan is the maximum value of over all edges of and the S -edge span is defined by = min where the minimum is taken over all ST-coloring c of G. In this paper we discuss these concepts namely, S -chromatic number, , and of graphs. 10 30 2019 4677 4681 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3575.1081219 https://www.ijitee.org/portfolio-item/L35751081219/ Research Scholar Department of Mathematics, Acharya Nagarjuna University and Department of Mathematics, KKR&KSR Institute of Technology &Sciences Vinjanampadu, Guntur Bhagyalakshmi Kothuru* V.Amarendra Babu Department of Mathematics, AcharyaNagarjuna University. “In this paper we are introducing the notions of subtractive and strong subsets in partial ternary  - semirings. We show that in a ternary  - SO semiring satisfying that every non-zero ideal is strong and subtractive Further we will show that join of any two ideals is equal to the sum of those two ideals in a ternary  - SO semiring satisfying the decomposition property. In a ternary  - SO semiring satisfying the decomposition property then ideal(R) is a distributive lattice”. 10 30 2019 210 213 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3577.1081219 https://www.ijitee.org/portfolio-item/L35771081219/ PhD Research Scholar, Department of E & C Engineering, Malnad College of Engineering, Hassan, Karnataka, India. Mr. N. Yashwanth* Dr. B. R. Sujatha Professor and Head, Department of E & C Engineering, Malnad College of Engineering, Hassan, Karnataka, India. Underwater sensor networks (USNs) have many challenges in terms of determining network information. One of the challenges is determining 3D position coordinates of the sensor nodes in real-time in the aquatic environment. In this work, experiments have been conducted by deploying sensor nodes underwater at a shallow depth. As a case study, sensors have been used to sense water temperature and transmit to anchor (sink) node in a multi-hop fashion. Hardware experiments have been successfully conducted for localization and data transmission and results stored in industrial cloud platform smartcore for any further requirement. NS-3 with Aqua-3D - an Aqua-Sim network simulator has the required modules to visualize 3D Underwater Sensor Network. Simulation results show that 3D network visualization and node localization is obtained accurately. The Aqua-3D results are compared with the GPS coordinate values for localization accuracy. 10 30 2019 214 219 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3578.1081219 https://www.ijitee.org/portfolio-item/L35781081219/ Mechanical department, Bharati Vidyapeeth (Deemed to be University) College of Engineering, Pune, India. Mahesh J. Patil* Prof. Dr. Rajendrakumar N. Patil Principal, Bharati Vidyapeeth’s College of Engineering, Lavale, Pune, India. The two joining techniques i.e. adhesive bonding and mechanical fastening combined are termed as hybrid joints. These kinds of joints mix the benefits of each the joining ways. The composite materials are used in structures at larger extend because of its properties like high strength to weight ratio, high fatigue resistance, high impact strength etc. The paper evaluates the mechanical behavior of Hybrid joint using composite as adherents subjected to tensile loading. The joint was observed to fail in two stages. Initially because of failure of adhesive and later by the failure of the bolt. The different parameters like overlap length, bolt size, tightening torque and adhesive thickness were studied and the significant factor were found to be overlap length, bolt size and tightening torque 10 30 2019 4689 4692 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3580.1081219 https://www.ijitee.org/portfolio-item/L35801081219/ Centre for Studies in Science and Policy, School of Social Sciences, Jawaharlal Nehru University, New Delhi, India. Shruti Chopra* Pranav N. Desai Centre for Studies in Science Policy, School of Social Sciences, Jawaharlal Nehru University, New Delhi, India. In the era of digital world, technological convergence through ICT has been receiving a significant attention. The ubiquitous connectivity provided through convergence has the potential to transform the society and establish an ecosystem to serve new dimensions to the economy of the country. Thereby, this study has attempted to identify the phenomenon of convergence on three level – upstream, midstream and downstream. Upstream level focuses on issues dealing with the synthesis of technology including R&D, FDI and Standards. Midstream level focuses on the growth of various sectors with the help of convergence including education, health, governance and employment. The downstream level focuses on the diffusion of technology in the society and includes factors like – diffusion, penetration and user friendly. The framework of Vision 2020 laid down by Planning Commission (Niti Aayog) has been adopted to choose the parameters and foresight exercise has been conducted. The opinions of experts have been taken to conduct the foresight analysis. With the help of LIPSOR scenario planning tools – Micmac, Mactor, Multipol and Smic-Prob, this paper has attempted to forecast the scenarios for the adoption of ICT in India. Following the variable analysis through Micmac and actor analysis through Mactor, this paper has attempted to generate the entire field of possibilities in terms of hypothesis and construct various scenarios through Multipol. And lastly, final scenarios were selected using the Smic-Prob by assigning the probability to all the scenarios (including the conditional probability). 10 30 2019 4693 4697 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3582.1081219 https://www.ijitee.org/portfolio-item/L35821081219/ Mohammed V University in Rabat, EMI, Siweb Team, E3S, Morocco. Patrick Loola Bokonda* Khadija Ouazzani-Touhami MINES-RABAT School, Department of Computer Science, Morocco. Nissrine Souissi MINES-RABAT School, Department of Computer Science, Morocco To evaluate and improve the delivery of health care services and programs; to collect and share information on agro-biodiversity; to fill the gaps in the data of artisanal or industrial fisheries, the use of computer tools of data collection is a major asset. It is now obvious that most of these tools are difficult to use in developing countries. And this is because of the complexity of use, either because they are commercial solutions or simply because these tools require a stable internet connection. This study is the result of thorough research on Open Data Kit (ODK), a suite of tools fully compatible with the context of developing countries and fully open source software. This article traces the research work done for the design, implementation, and improvement of ODK. A description of the different ODK extensions that can be found in the literature is given in addition to the reasons that explain the success of ODK in developing countries. To highlight the utility of ODK, an analysis of the areas of use of ODK has been made. This analysis concludes that ODK is mainly used to improve the intervention effectiveness of health system agents in developing countries. 10 30 2019 4749 4754 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3583.1081219 https://www.ijitee.org/portfolio-item/L35831081219/ Business Intelligence Architect, Alpha Clinical Systems Inc, USA. Simanta Shekhar Sarmah* Blockchain technology is recent and eminent financial technology that completely transform the business transactions. It’s a decentralized network, that support and employ variety of cryptography models. This robust and flexible secured transactions is being integrated with another eminent computing paradigm, cloud computing. In this paper, we make an attempt to review about the application of blockchain in cloud computing system. Firstly, the concept of blockchain is briefly discussed with their advantages and disadvantages. Second, the concept of cloud computing is briefly demonstrated with blockchain technology. Finally, prior papers are reviewed and presented in tabular form. It dictates that the research gaps, still, pertains in field of blockchain based on cloud computing systems. This paper assists the upcoming researchers in this field for designing novel secured models. 10 30 2019 4698 4704 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3585.1081219 https://www.ijitee.org/portfolio-item/L35851081219/ Mittal School of Business, Lovely Professional University, Phagwara, India. Dr.Tawheed Nabi* Dr. Tushinder Preet Kaur Mittal School of Business, Lovely Professional University, Phagwara, India. The paper attempts to determine Revealed Comparative Advantage (RCA) and Revealed Symmetric Comparative Advantage (RSCA) of Indian agriculture sector with respect to top five agriculture exporting countries viz; USA, UK, UAE, Singapore and China. The study evaluates the structure of comparative advantage from 1995-2017. Data as per the Standard International Trade Classification (SITC-1) is used to compute RCA and RSCA index. The indices reveals the comparative advantage in case of majority of commodities like fish, fish preparations, fruits, vegetables, sugar, sugar preparations, miscellaneous food products, wood, lumber and cork. Increasing world demand for exports trailed by the competitiveness of Indian exports has played an important role in export performance.. 10 30 2019 4705 4708 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3586.1081219 https://www.ijitee.org/portfolio-item/L35861081219/ Professor, Department of Civil Engineering, CMR Technical Campus, Kandlakoya, Medchal Road, Hyderabad – 501401, Telangana, India. Dr VM SOUNTHARARAJAN* Dr S. Sivasankar Associate Professor, Department of Civil Engineering, CMR Technical Campus, Kandlakoya, Medchal Road, Hyderabad – 501401, Telangana, India. Mr. R Vinodh Kumar Assistant Professor, Department of Civil Engineering,, Meenakshi College of Engineering, Chennai, Tamil Nadu. Mr. Nabajyoti Modak Assistant Professor, Department of Civil Engineering, Anand Institute of Higher Technology, Chennai, Tamil Nadu, India. K. Dilli Bai Pursuing M.Tech – Structural Engineering at CMR Institute of Technology, Kandlakoya, Medchal Road, Hyderabad – 501401, Telangana, India. This research work has been investigated the agriculture solid waste of sugarcane bagasse ash (SCBA) materials replacing Portland cement and produces the assured quality of concrete. The current research work for various mixes of experimental test results shows the higher compressive strength was 37.51MPa at 28-days, 38.10 MPa at 56-days, the best mix consisting of SCBA (wet sieving method) content up to 15% (by weight of binding materials) along with 1.5% of waste tin fibers and also an excellent improvement trend was noted in flexural rigidity of concrete to addition of tin fibers shows the higher bending stress for all mixes except reference as well as more than 15% of SCBA concrete at different curing days. However, this study focused on the indirect measurement of tensile strength in SCBA concrete obtained the higher split tensile strength was 3.75MPa at 28-days, 3.95MPa at 56-days. It is concluded based on the various test results for different curing days the optimum replacement level of SCBA up to 15% of Portland cement was fixed and achieve the target strength of M25 grade of Portland cement concrete at 28 days. 10 30 2019 220 224 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3589.1081219 https://www.ijitee.org/portfolio-item/L35891081219/ Asst. Professor, Dept. of Computer Science, MITS school of Biotechnology, Utkal University, Bhubaneswar, India. Kabita Sahoo* Abhaya Kumar Samal Professor, Dept. of Comp. Sc. & Engg., Trident Academy of Technology, Bhubaneswar, India. Jitendra Pramanik Asst. Professor, Centurion University of Technology and Management, Odisha, India. Subhendu Kumar Pani Associate Professor, Orissa Engineering College, Bhubaneswar, India. Data need to be analyzed so as to produce good result. Using the result decision can be taken. For example recommendation system, ranking of the page, demand fore casting, prediction of purchase of the product. There are some leading companies where the review of the customer plays a great role to analyze the factor which influences the review rating. We have used exploratory data analysis (EDA) where data interpretations can be done in row and column format. We have used python for data analysis. it is object oriented ,interpreted and interactive programming language. it is open source with rich sets of libraries like pandas, MATplotlib, seaborn etc. We have used different types of charts and various types of parameter to analyze Amazon review data sets which contains the reviews of electronic data items. We have used python programming for the data analysis. 10 30 2019 4727 4735 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3591.1081219 https://www.ijitee.org/portfolio-item/L35911081219/ Department of Mechanical Engineering, Karunya Institute of Technology and Sciences, Coimbatore - 641114, India. D. Philip Selvaraj* P. Richard Philip Department of Computer Science and Engineering, Karpagam College of Engineering, Coimbatore – 641032, India. The objective of this research work is to optimize the machining variables of AISI 304 austenitic stainless steel during wet turning operation. The input parameters considered are depth, feed and cutting speed. The output response considered is cutting force. Taguchi technique is used to find the optimum machining conditions for cutting force. ANOVA is used to determine the effect of input variables on the cutting force. ANOVA results indicated that the most significant variable affecting the cutting force during the wet turning process is depth of cut. 10 30 2019 4709 4711 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3592.1081219 https://www.ijitee.org/portfolio-item/L35921081219/ Assistant Professor, Department of ECE, Kongu Engineering College, Perundurai Erode-638052, Tamilnadu, India Anbumani V* Geetha V Assistant Professor, Department of ECE, Kongu Engineering College, Perundurai Erode-638052, Tamilnadu, India Murugesan G Professor and Head, Department of ECE, Kongu Engineering College, Perundurai Erode-638052, Tamilnadu, India Many Discrete Wavelet Transform (DWT) based VLSI architectures have been projected to meet the necessities of the synchronized signal processing. It includes image processing, speech processing, signal and video processing, etc. The practical implementation of DWT has fewer hitches in terms of hardware complexity and memory requirement since it needs to process huge volume of data. The traditional convolution based system needs more multipliers and larger memory and is also not suitable to provide speed or power efficient image or video processing designs. The lifting scheme involves very few mathematical computations compared to the convolution-based DWT. In this paper, we propose an architecture that performs Discrete Wavelet Transform (DWT) using a lifting-based scheme with fine grained pipelined architecture. The basic DWT filters used in image compression are 5/3(lossless) and 9/7(lossy) filters. In fine grain pipelining, multiplier is split into two units by placing the latches on the horizontal cutset across the multiplier. Thus the critical path is reduced to half of the multiplier delay. As a result, it is a speed efficient architecture and is symmetrical with a lower hardware complexity. The architecture is designed using verilog HDL and implemented on Xilinx Spartan 3E FPGA. 10 30 2019 225 229 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3593.1081219 https://www.ijitee.org/portfolio-item/L35931081219/ Post-graduate student, Department of Computer Science and Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India. Sai Poojitha Nimmagadda* Dr. Sagar Yeruva Associate Professor, Department of Computer Science and Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India. Dr. Rakesh Siempu Assistant Professor, Department of Civil Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India. The state or disorder where the body cannot effectively use the insulin is called Diabetes. If the insulin levels are not maintained properly, the diabetes is one such disorder where it damages all other body parts. It is estimated that the diabetes is the 7th leading cause of deaths as per World Health Organisation report. Early recognition of diabetes, decreases the risk of serious ailments, which includes, heart diseases, brain stroke, eye related diseases, kidney diseases, nerve related diseases etc. In the present work, pima indians diabetes data set is considered as the best dataset and different models viz., hierarchical clustering with decision tree, hierarchical clustering with support vector machines, hierarchical clustering with logistic regression and k means with logistic regression are developed and implemented for identifying and predicting the diabetes. The accuracies of these prediction models range between 0.90 and 0.946. An Improved Diabetes Prediction Algorithm (IDPA) combining the hierarchical clustering algorithm and Naïve Bayes classification algorithm is developed to identify and predict the Type-II diabetes and has shown an accuracy of 0.96. In this IDPA, firstly, the grouping of data into two groups i.e. diabetes and non-diabetes is done by applying the hierarchical clustering algorithm. Then, the filtering is done by comparing the group value to the class value followed by applying Naïve Bayes classification algorithm for predicting diabetes. The results show that the proposed novel method i.e. IDPA can predict the diabetes with higher accuracy levels (0.96) than the traditional/existing methods and other methods which were implemented. This model can be used to predict diabetes early, thereby reducing the serious complications of diabetes. 10 30 2019 230 235 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3594.1081219 https://www.ijitee.org/portfolio-item/L35941081219/ M. Tech (student), Dept of Electrical Engineering, JNTUA, Anantapur, AP, India. Y. Bharathi Devi* P. Bharat Kumar Lecturer, Dept of Electrical Engineering, JNTUA, Anantapur, AP, India. P. Sujatha Professor, Dept of Electrical Engineering, JNTUA, Anantapur, AP, India. Tracing of operating point where maximum power is extracted, regulation of power and speed are the major control objectives for the main component of WECS i.e., wind turbine. A controller with objective designed for one operating region may not sustain better performance in any other operating region. To overcome such issues and achieve improved nature of performance in any operating region using a new advancement in controller with future prediction capability and thus attain the required control objectives. In this work, such objectives are achieved by using continuous-time multi model predictive control and Quantitative Feedback Theory control (QFT). Both the controllers’ performance is compared using simulink studies for a wind turbine model. Simulation results will show the performance of the above mentioned control scheme. The entire simulation work will be carried out on MATLAB/Simulink environment. 10 30 2019 4712 4717 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3596.1081219 https://www.ijitee.org/portfolio-item/L35961081219/ School of civil Engineering, SASTRA Deemed University, Thanjavur, India. Vishweshwaran M* Anandha Kumar S School of civil Engineering, SASTRA Deemed University, Thanjavur, India. Regression models by genetic programming are useful in establishing relationships among various parameters using Darwin’s theory of evolution. Geotechnical parameters have been used in this model for the dataset obtained from literature. Genetic Programming is the automatic creation of computer programs to perform a selected task using Darwinian natural selection. The datasets for the expansive soil contain all the 3 expansive clay minerals – montmorillonite, illite and kaolinite. The origin for this problematic soil in Tabuk region, Saudi Arabia is due to the presence of Hanadir shale. Consolidometer was used in determining free swell for the undisturbed soil. 10 30 2019 4718 4720 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3597.1081219 https://www.ijitee.org/portfolio-item/L35971081219/ Department of CSE, SRKR Engineering College, Bhimavaram, India, Pavuluri Bhanu Prakash* Tottempudi Srinivasa Rao Department of CSE, SRKR Engineering College, Bhimavaram, India, Expressive clustering comprises of naturally sorting out information occurrences into groups and creating a graphic outline for each group. The portrayal ought to advise a client about the substance regarding each group moving forward without any more assessment of the particular occasions, empowering a client to quickly filter for pertinent bunches. Choice of portrayals frequently depends on heuristic criteria. We model graphic grouping as an auto-encoder organize that predicts highlights from bunch assignments and predicts bunch assignments from a subset of highlights. We present an area free bunching based methodology for programmed extraction of multiword expressions (MWEs). The strategy consolidates factual data from a universally useful corpus and writings from Wikipedia articles. We fuse affiliation measures through elements of information focuses to bunch MWEs and after that process the positioning score for each MWE dependent on the nearest model doled out to a group. Assessment results, accomplished for two dialects, demonstrate that a mix of affiliation estimates gives an improvement in the positioning of MWEs contrasted and basic checks of co event frequencies and simply factual measures. 10 30 2019 236 240 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3598.1081219 https://www.ijitee.org/portfolio-item/L35981081219/ Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation Vaganova O. I.* Today, information technology is being introduced into almost all components of human life and it is already difficult to imagine our society without IT innovations. Including the education system, which is currently modernized and equipped with new forms of training using information technology. This allows us to achieve new results in education in the form of increasing students' desire for cognitive activity and raising the general level of education of the population due to the rapidly growing quality of education. Since the introduction and active use of information technology in education, its effectiveness has also been increasing in parallel. The advantage of information technology is also that different technologies can be used depending on the particular discipline taught or depending on the topic, material that needs to be presented to students. To increase interest and master new material of the proposed audience by the teacher. This article analyzes the use of IT technology in the Engineering Graphics training course. Optimization of engineering graphics training consists in its modernization with the selection of new teaching methods, tools and techniques, use in the learning process, to increase efficiency, innovative technologies that contribute to the formation of students' creative way of thinking, as well as graphic culture. 10 30 2019 241 245 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3601.1081219 https://www.ijitee.org/portfolio-item/L36011081219/ Assistant Professor, Department of Computer Science, Sri Krishna Arts and Science College, Coimbatore and Research Scholar- Bharathiar University Ramesh R * Saravanan V dean- Computer Studies, Dr. SNS College of Arts and Science, Coimbatore. Manikandan R Research Scholar , Anna University , Chennai, India. Associative classification (AC) is an interesting approach in the domain of data mining which makes use of the association rules for building a classification system, which are easy for interpretation by the end user. The previous work [1] showed excellent performance in a static large data base but there existed a question of same performance when applied in an incremental data. Many of the Associative Classification methods have left the problem of data insertion and optimization unattended that results in serious performance degradation. To resolve this issue, we used new technique C-NTDI for building a classifier when there is an insertion of data that take place in a non-trivial fashion in the initial data that are used for updating the classification rules and thereafter to apply the PPCE technique for the generating of rules and further Proportion of Frequency occurrence count with BAT Algorithm (PFOCBA) is applied for optimizing the rules that are generated. The experiments were conducted on 6 different incremental data sets and we found that the proposed technique outperforms other methods such as ACIM, E-ACIM, Fast Update (FUP), Galois Lattice theory (GLT) and New Fast Update (NFUP) in terms of accuracy and time complexity. 10 30 2019 4721 4726 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3605.1081219 https://www.ijitee.org/portfolio-item/L36051081219/ Computer Engineering Department, Marwadi University, Rajkot, India. Jay Teraiya* Apurva Shah Computer Science and Engineering Department, The Maharaja Sayajirao University of Baroda, Baroda, India. Ketan Kotecha The Symbiosis Institute of Technology, Pune, India. The Ant Colony Optimization (ACO) algorithm is a mathematical model enlivened by the system searching conduct of ants. By taking a gander at the qualities of ACO, it is most suitable for scheduling of tasks in soft real-time systems. In this paper, the ACO based scheduling method for the soft real-time operating system (RTOS) has been profound with mathematical and practical proof. In Mathematical proof, three different Propositions and two Theorems have been given, which prove the correctness of the proposed algorithm. Practical experiments also support mathematical proofs. During the investigation, observations are gathered with different periodic task set. Algorithms have been observed regarding Success Ratio (SR) and Effective CPU utilization (ECU). ACO based scheduling algorithm has been compared with the Earliest Deadline First (EDF) algorithm with parameter SR and ECU. The EDF is dynamic scheduling algorithm and it is most suitable in RTOS when task set is preemptable. It is noted that the new algorithm is equally efficient during under loaded conditions when CPU load is less than one. ACO based scheduling algorithm performs superior during the overloaded conditions when CPU load is more than one where as EDF algorithm performance degraded in overload condition. Empirical study has been executed with a hefty Dataset consist of more than 7500 task set, and a set contains different one to nine processes where CPU load is dynamic for each process set and differ from 0.5 to 5. Algorithms have been executed on five-hundred-time unit for each process set to authenticate the accuracy of both algorithms. 10 30 2019 4736 4740 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3606.1081219 https://www.ijitee.org/portfolio-item/L36061081219/ School Of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India. P.Sobana Sumi* Radhakrishnan Delhibabu* School Of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India. Brain tumor is one of the most dangerous diseases, which is very hard to diagnose due to its rare symptoms. Diagnosing disease at right time helps to give proper treatment and could extend patient survival period. Histopathology images of brain tumor are taken from the Cancer Genome Atlas (TCGA). Large numbers of tissues have to be analyzed to diagnose disease efficiently, which produces time consuming problem. In this model CNN architecture like InceptionV3 and InceptionResNetV2 are adapted to solve binary and multi-class issues in brain tumor histology images using transfer learning. InceptionV3 is used to extract features and for fine-tuning, InceptionResNetV2 is used for feature extraction. Framed autoencoder network to transform the extracted features to low dimension space and to do clustering analysis on image. Proposed autoencoder produce better clustering result than features extracted by InceptionResNetV2. 10 30 2019 4741 4748 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3610.1081219 https://www.ijitee.org/portfolio-item/L36101081219/ Construction and Building Eng. Department, Faculty of Engineering and Technology, Arab Academy for Science & Technology & Maritime Transport, Cairo, Egypt.. Akram S. Kotb* The critical issue of Intelligent Transportation Systems (ITS) applications is obtaining the near real time information of travel times. This paper proposes a dependable model for predicting car travel time on urban roads in Greater Cairo using buses as probes. The GPS receivers, which are installed on test vehicles and buses, used to collect real travel time data along the urban roads. The travel times of bus and car are compared in order to recognize similarities and differences between the trip profiles of test vehicles and buses. According to the comparison results, the model is developed and validated using Artificial Neural Network (ANN) for estimating car travel time using buses’ travel time with acceptable level of accuracy equals 10.53%. 10 30 2019 3260 3265 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3612.1081219 https://www.ijitee.org/portfolio-item/L36121081219/ Electrical and Electronics Engineering, Anurag Group of Institutions, Hyderabad, India. Kavya Thaduri* Mamatha. S Electrical and Electronics Engineering, Anurag Group of Institutions, Hyderabad, India. Anil Kumar.T Electrical and Electronics Engineering, Anurag Group of Institutions, Hyderabad, India. In this paper, analysis of Reconfigurable Solar Converter (RSC) based on Adaptive Neural Fuzzy Interface System (ANFIS) controller is presented for PV battery application. The major concept of RSC is to use single stage three phase grid tie solar PV converter system to perform both dc/ac and dc/dc operations. The conversion stages are decreased and cost, weight reduces. ANFIS controller improves the performance of the system. An effective Mat lab / Simulation result presents the attractive performance of proposed system. 10 30 2019 3266 3270 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3613.1081219 https://www.ijitee.org/portfolio-item/L36131081219/ Assistant Professor, Electronics and Computers Department, Sreenidhi Institute of Science and Technology, HYD, Telangana Telugu Maddileti* Anthony David Victor Raj Electronics and Computers Department, Sreenidhi Institute of Science and Technology, HYD, Telangana Vinayak Neemkar Electronics and Computers Department, Sreenidhi Institute of Science and Technology, HYD, Telangana R.K. Pongiannan Professor, Department of EEE, SRM Institute of Science and Technology, Kattankulathur, (Tamil Nadu), India. India with an ambitious goal has stated of coming up with a project of making over a hundred smart cities. The government needs to take several key parameters into consideration few of which are intelligent water systems, intelligent electrical systems, intelligent transport, smart homes etc. The intention of this paper is to come up with a solution using modern technologies of IOT and Machine learning to get a detailed exploration of the data collected through various IOT sensors. The data is processed and used for training the Machine learning models which help in further predicting the safety of future drain data by recognizing patterns and gathering insights using visualizations. Thus, helping to identify and analyze problems related to drains in a more efficient and optimized manner. 10 30 2019 246 250 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3615.1081219 https://www.ijitee.org/portfolio-item/L36151081219/ Mechanical Engineering Department, Faculty of Engg. & Tech., Jamia Millia Islamia, New Delhi, India. Md. Meraj* M.E. Khan Mechanical Engineering Department, Faculty of Engg. & Tech., Jamia Millia Islamia, New Delhi, India. Photovoltaic (PV) module is one of the simplest technologies to convert the solar energy into the useful electrical energy. In the present paper, an attempt has been made to develop a simplified analytical expression for solar cell temperature and solar cell electrical efficiency of opaque and semi-transparent photovoltaic module in the terms of design and climatic parameters. Based on the energy balance of opaque and semi-transparent PV module, the performance parameters, namely, solar cell temperature, solar cell electrical efficiency, module efficiency and electrical power output have been evaluated for a typical clear day of May month of New Delhi climatic condition data taken from IMD (Indian Meteorological Department), Pune, India. The numerical simulations have been made on the MATLAB software. Based on the numerical computation, the effect of back cover opaque and semitransparent tedlar of module on the performance parameters has been investigated. From the results and discussion, it is found that the performance of photovoltaic module is very sensitive to the module temperature. Further, it is concluded that the semi-transparent photovoltaic module is more efficient than the opaque one. Thus, by the application of semi-transparent PV module in the design of stand-alone and rooftop PV system, the overall energy requirement and performance can be improved for same occupied area. 10 30 2019 3271 3276 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3616.1081219 https://www.ijitee.org/portfolio-item/L36161081219/ Pursuing Masters From Ifet College Of Engineering in applied electronics M. Jayasudha* Dr.M. Saravanan Assistant Professor in Department of Electronics and Communication Engineering In India for recent years, water scarcity is the principle inconvenience. To overcome these issues, people initiated to burrow bore well. In our nation, the vast majority of the people are agrarian and they depend on the water for irrigation system. Children involuntarily fall into the bore well which yielded water and left revealed. The process of saving the trapped child into bore well is relatively challenging. At present, the rescuing task is accomplished by the method for burrowing a parallel pit close to the bore well with the same depth of the child and makes a passage that interfaces with the two wells. It takes about 30 hours to burrow the new well. By that period the child would have passed on. To overcome this concern, a well-planned robot is designed in a unique way, that it saves the stuck child and also it observes the child carefully by using web cam within a short time span. It consists of two modules which are rescuing system and protection system. The protection system is with the guide of setting an air sack at the base of the passage and recovers the child at the base of the passage and recovers the child at any rate of gripper disappointment. The safeguarding instrument is about a robot gadget fit for moving underneath the bore well bolstered with their user directions, equipped with robot arm, unrestrained objectives modernized camera, high resolution LED. The robot arm is utilized to fix the belt to the trapped children. The belt is hooked with the dc metal gear for lifting the child from the bore well. 10 30 2019 3346 3350 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3617.1081219 https://www.ijitee.org/portfolio-item/L36171081219/ Department of Preschool and Primary Education, Vinnytsia Mykhailo Kotsiubynskyi State Pedagogical University, Vinnytsia, Ukraine Kateryna Kruty* Larysa Zdanevych Department of Preschool Pedagogy, Psychology and Professional Methods, Khmelnytskyi Humanitarian-Pedagogical Academy, Khmelnytskyi, Ukraine Olha Demianenko Foreign Languages Department, V.O. Sukhomlynskyi Mykolaiv National University, Mykolaiv, Ukraine Natalia Pakhalchuk Department of Preschool and Primary Education, Vinnytsia Mykhailo Kotsiubynskyi State Pedagogical University, Vinnytsia, Ukraine Lyudmyla Perminova Department of Natural and Mathematical Science and Speech-Language Therapy, Kherson State University, Kherson, Ukraine Oksana Garachkovska Department of Public Relations and Journalism, Kyiv National University of Culture and Arts, Kyiv, Ukraine The rhythm of modern life and the widespread dissemination of digital technology leads us to the need to review traditional education systems. Opportunities for realizing the potential inherent in electronic training systems are revealed only if they are used. Expanding the range of educational materials used due to the possibility of multimedia tools allows improving the quality and speed of assimilation of the material. The possibilities of e-learning using multimedia technologies increase the visibility and attractiveness of educational content. Also, these technologies make it possible to demonstrate in the educational process such material that previously due to its nature (complexity, high cost, inaccessibility) could not be widely used Effective use of the opportunities provided by the Internet allows you to implement incredibly flexible and adaptive training programs. The student’s access to educational material at any convenient time from any convenient point allows the formation of the most effective curriculum program, which increases the digestibility of educational material. 10 30 2019 251 256 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3621.1081219 https://www.ijitee.org/portfolio-item/L36211081219/ Amity School of Engineering and Technology, Amity University, Noida, India. Anisha Bhatnagar Namrata Majumdar Amity School of Engineering and Technology, Amity University, Noida, India. Shipra Shukla* Assistant Professor, Amity School of Engineering and Technology, Amity University, Noida, India. Border Gateway Protocol (BGP) is utilized to send and receive data packets over the internet. Over the years, this protocol has suffered from some massive hits, caused by worms, such as Nimda, Slammer, Code Red etc., hardware failures, and/or prefix hijacking. This caused obstruction of services to many. However, Identification of anomalous messages traversing over BGP allows discovering of such attacks in time. In this paper, a Machine Learning approach has been applied to identify such BGP messages. Principal Component Analysis technique was applied for reducing dimensionality up to 2 components, followed by generation of Decision Tree, Random Forest, AdaBoost and GradientBoosting classifiers. On fine tuning the parameters, the random forest classifier generated an accuracy of 97.84%, the decision tree classifier followed closely with an accuracy of 97.38%. The GradientBoosting Classifier gave an accuracy of 95.41% and the AdaBoost Classifier gave an accuracy of 94.43%. 10 30 2019 4015 4020 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3622.1081219 https://www.ijitee.org/portfolio-item/L36221081219/ Central scientific research automobile and automotive engines institute “NAMI”, Moscow, Russia. Andrei Mikhailovich Saikin* Sergei Evgenevich Buznikov Central scientific research automobile and automotive engines institute “NAMI”, Moscow, Russia. Dmitrii Sergeevich Elkin Central scientific research automobile and automotive engines institute “NAMI”, Moscow, Russia. Vladislav Olegovich Strukov Central scientific research automobile and automotive engines institute “NAMI”, Moscow, Russia. This work discusses experimental results of integrated navigation system of unmanned vehicle convoy with manned master vehicle in road climatic environment of Russia. The developed navigation system is comprised of odometric system integrated with computer vision equipped with video cameras and radars. Navigation is supported by virtual sensors of parameters of center-of-mass motion, and motion path is adjusted by data of video camera and radar. The algorithms of wheel navigation system have been designed on the basis of concept of virtual data sensors. Virtual data sensors allow to solve navigation problem in minimum hardware configuration. As a consequence of the research, the operable integrated navigation system has been developed allowing detection of position of unmanned vehicles in convoy. The proposed engineering solutions have been confirmed by experimental results of navigation system for unmanned vehicle convoy with manned master vehicle in road climatic environment of Russia. The research novelty is in experimental verification of efficiency of algorithms and software of the developed integrated navigation system for unmanned vehicle convoy with manned master vehicle. 10 30 2019 4021 4025 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3623.1081219 https://www.ijitee.org/portfolio-item/L36231081219/ Federal Research Center of Agrarian Economy and Social Development of Rural Areas – All-Russian Research Institute of Agricultural Economics, Moscow, Russia. Nabi D. Avarskii* Vasiliy V. Taran Federal Research Center of Agrarian Economy and Social Development of Rural Areas – All-Russian Research Institute of Agricultural Economics, Moscow, Russia. Khatimat N. Gasanova Federal Research Center of Agrarian Economy and Social Development of Rural Areas – All-Russian Research Institute of Agricultural Economics, Moscow, Russia. Andrei N. Osipov Federal Research Center of Agrarian Economy and Social Development of Rural Areas – All-Russian Research Institute of Agricultural Economics, Moscow, Russia. Elena A. Silko Federal Research Center of Agrarian Economy and Social Development of Rural Areas – All-Russian Research Institute of Agricultural Economics, Moscow, Russia. Vadim R. Gumerov Federal Research Center of Agrarian Economy and Social Development of Rural Areas – All-Russian Research Institute of Agricultural Economics, Moscow, Russia. The purpose is to analyze current situation and future developments in the global biodiesel market including Russia. Among the results obtained are the assessment of feedstock, technical standards and production cost of biodiesel and critical analysis of multidiscipline factors influencing global biodiesel market development. For Russia the potentials of biodiesel production and the rates of diesel fuel substitution are estimated. The main vectors of biodiesel market development and state supporting measures are suggested. The conclusion underlines main trends in the world biodiesel market and emphasizes reasonability to concentrate the use of biodiesel in the Russian agricultural sector. 10 30 2019 4026 4038 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3625.1081219 https://www.ijitee.org/portfolio-item/L36251081219/ The North Caucasian branch of the Federal State Budget-Funded Educational Institution of Higher Education “The Russian State University of Justice”, Krasnodar, Russia. Tatyana Gennad`evna Borodinova Vladimir Vladimirovich Borodinov The North Caucasian branch of the Federal State Budget-Funded Educational Institution of Higher Education “The Russian State University of Justice”, Krasnodar, Russia. The research is devoted to the analysis of the essence and place of the adversarial system in modern criminal procedure regulation. The existing acute debatability regarding the procedural status of the adversarial system in the criminal procedure law of the Russian Federation necessitates the appeal of scholars to this category. The purpose of identifying the true procedural nature of the adversarial system and the boundaries of its implementation is directly related to the determination of the correct place of this procedural category in the modern system of criminal procedure regulation. The analysis of modern scientific views on the procedural status of the adversarial system indicates the presence of diametrical views on the compliance of the adversarial system with the characteristics of an independent industry-wide principle. A controversial opinion about the extension of the principle of adversarial practice to the pre-trial stages of Russian criminal proceedings is noted. According to the authors, the current law enforcement practice confirms the implementation of the "pure" adversarial system only in the judicial stages of the criminal process. Taking into account the provisions of the Constitution of the Russian Federation and the position of the Supreme Court of the Russian Federation, the work provides an argumentation of the authors’ position on the advisability of changing the status and, accordingly, the place of the adversarial system in the structure of the Code of Criminal Procedure of the Russian Federation from the "industry-wide principle" to the "general condition of the trial". 10 30 2019 4039 4042 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3627.1081219 https://www.ijitee.org/portfolio-item/L36271081219/ Russian State Social University, Moscow, Russia. O.A. Evreeva* N.I. Bedareva Russian State Social University, Moscow, Russia. The article’s goal is to study the idea of collegiality in order to find out whether or not it can be used as a possible cultural principle for the dialogue of cultures. The culture of the dialogue of cultures as the main term of possible dialogue has many options. One of them can be the idea of collegiality, which was developed by Russian religious philosophers since the value of a theory does not depend on the time of its creation. This implies the possibility of reconstructing previous concepts in theory and actualizing them creatively in the modern social context. 10 30 2019 4043 4045 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3628.1081219 https://www.ijitee.org/portfolio-item/L36281081219/ Russian State Social University (RSSU), Moscow, Russian Federation. Galina Ivanovna Avtsinova* The article analyzes the main problems faced by German society in the process of increasing the number of migrants: below-average employment; dependence on social benefits; above-average fertility; increase in crime rates, etc. The authors state that the overwhelming majority of migrants, contrary to the expectations of German authorities, do not share the Western European system of values: democratic foundations of society, law-abiding, cultural and religious diversity, etc. On the contrary, cultural and spatial isolation increased the phenomenon of parallel societies living by their own laws and traditions. The article identifies the reasons for the failure of idea and policy of peaceful existence in the format of integration without assimilation. The main flaw in the German migration policy is its fragmented and inconsistent nature. Following a number of researchers, the authors characterize this approach as imitational multiculturalism. The article also proposes a series of measures that can mitigate the effects of multiculturalism policies. 10 30 2019 4066 4048 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3629.1081219 https://www.ijitee.org/portfolio-item/L36291081219/ Research Scholar, Department of Computer Science & Engineering, M S Ramaiah Institute of Technology, Bangalore, India. Pradeep S* Jagadish S. Kalmani Department of Computer Science & Engineering, M S Ramaiah Institute of Technology, Bangalore, India. Most of the online applications such as Amazon, Snap deal, Flip cart and many others, attract customers by presenting user reviews about the services. These services typically include hotels, flights, cabs, holiday plans and many more. The main objective of this paper is to automatically analyze the feedbacks data given by the customers into positive, negative and neutral categories and gives a summarized review in case of multiple sentences is present in the feedback. In this proposed work various sources of data; namely from Flip cart, Snap deal is considered. The method to analyze the data include collecting the data from the mobile/web application sources, filtering the unwanted data, preprocessing and finally analyzing and summarizing the reviews using supervised machine learning techniques. 10 30 2019 4049 4056 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3630.1081219 https://www.ijitee.org/portfolio-item/L36301081219/ Tver State Technical University (TvSTU), Tver, Russia. Yulia Nikolaevna Samylina* Pavel Aleksandrovich Matveev Russian State Social University, Moscow, Russia. Elena Nikolaevna Malysheva Russian State Social University, Moscow, Russia. Tatiana Nikolaevna Fedorova Tver State University, Tver, Russia. Valentina Mikhailovna Repnikova Plekhanov Russian University of Economics, Moscow, Russia. The article is devoted to the formation of integrated system development models in the information and telecommunications cluster. It has been established that the study of European experience in cluster development allows identifying the main participants in communication processes that significantly accelerate interaction using an integrated communication system. It has been proven that the key participants in communication platforms include information and telecommunications enterprises, professional communities, local authorities and government institutions that regulate the activities of cluster members, educational institutions and research institutes, technology transfer centers, business incubators, investors and cluster coordination councils. It has been determined that all these organizations will have equal access to platforms, which corresponds to the basic principles of partnership, especially the principle of transparency and openness to innovations based on mutual trust. It has been revealed that the structural-functional model of an integrated system of information and communication support for the interaction of participants shows the directions and ways of virtualizing communications on dedicated platforms. 10 30 2019 4057 4061 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3631.1081219 https://www.ijitee.org/portfolio-item/L36311081219/ Civil Engineering Department, College of Engineering, Osmania University, Hyderabad – 500007, Telangana State, India, Prasanna SVSNDL* Suresh Kumar N Civil Engineering Department, College of Engineering, Osmania University. Hyderabad – 500007, Telangana State, India, Spillway is an important component of the storage structure, meant to discharge excess amount of water in the reservoir. It also acts as a measure to control floods and protect the structure from overtopping and failure. For the safety of the structure, an appropriate energy dissipator is provided at the toe of the spillway. Of many alternatives, a flip buclet is often provided as a energy dissipater and its design plays a significant role. The design involves an accurate estimation of various parameters viz., trajectory jet velocity, angle of throw, length and height of the trajectory jet. The present study was carried out to analytically estimate the design parameters and compare them with the ANSYS-CFD simulation results. A new equation is proposed by means of user-defined function, based on the macro generated VOF - multiphase analysis. The analytical results estimated by the proposed equations were observed to have a good consonance with the simulation results having a variation less than 5%. 10 30 2019 4062 4066 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3632.1081219 https://www.ijitee.org/portfolio-item/L36321081219/ Department of BSH, GIET University, Gunupur, India. Sivakami Sundari M* Palaniammal S Principal and Professor, Department of Mathematics, Sri Krishna Adithya College of Arts and Science, Kovaipudur, Coimbatore, India. Successful formulation of queuing models depends on arrival rate, nature of waiting in queues, type of service and customer leaving the system depends on type of arrival, nature of service, number of servers deputed, type of queues, number of customers approaching for service in the system and delay. Kendall notations are popularly used for designating the queuing models like M/M/C/E/D. Various mathematical models have been developed to solve the queuing problem analytically. However solving queuing models with power of computers is the new area of research and this work intends to develop single server infinite capacity queuing system using Artificial Neural Network(ANN). The results of simulation are compared with that of analytical method. 10 30 2019 4061 4067 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3633.1081219 https://www.ijitee.org/portfolio-item/L36331081219/ Krasnodar Research Centre for Animal Husbandry and Veterinary Medicine, Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russia. Natalya Alexandrovna Yurina* Marina Petrovna Semenenko Krasnodar Research Centre for Animal Husbandry and Veterinary Medicine, Krasnodar, Russia. Elena Vasilievna Kuzminova Krasnodar Research Centre for Animal Husbandry and Veterinary Medicine, Krasnodar, Russia. Artyom Borisovich Vlasov Krasnodar Research Centre for Animal Husbandry and Veterinary Medicine, Krasnodar, Russia. Nina Vladimirovna Konik Saratov State Agrarian University named after I.V. Vavilov, Saratov, Russia. Maria Sergeevna Galicheva Maykop State Technological University, Maykop, Russia. Evgeny Gennadevich Chuprina LLC Protect & feed, Dinskaya, Krasnodar Region. The article considers the economic efficiency of the use of the PassPro Balance feed product for lactating cows based on the increase of their productivity and reproductive qualities. The study has found that the use of the PassPro Balance feed supplement in the ration of Simmental cows during milking period increases the consumption of feed mixture by 0.9% and dry matter – by 5.4%, average daily milk yield – by 29.2% (P<0.01) and profitability level of milk production – by 7.8%, as well as reduces the service period by 5.0% and the consumption of concentrates for the production of 1 kg of basic fat milk by 22.8%. 10 30 2019 4072 4074 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3634.1081219 https://www.ijitee.org/portfolio-item/L36341081219/ Department of Computer Engineering, Jamia Millia Islamia, New Delhi, India. Mohd Zeeshan Ansari* Lubna Khan Department of Computer Engineering, Jamia Millia Islamia, New Delhi, India. A word having multiple senses in a text introduces the lexical semantic task to find out which particular sense is appropriate for the given context. One such task is word sense disambiguation which refers to the identification of the most appropriate meaning of the polysemous word in a given context using computational algorithms. The language processing research in Hindi, the official language of India, and other Indian languages is constrained by non-availability of the standard corpora. For Hindi word sense disambiguation also, the large corpus is not available. In this work, we prepared the text containing new senses of certain words leading to the enrichment of the available sense-tagged Hindi corpus of sixty polysemous words. Furthermore, we analyzed two novel lexical associations for Hindi word sense disambiguation based on the contextual features of the polysemous word. The evaluation of these methods is carried out over learning algorithms and favourable results are achieved. 10 30 2019 4075 4080 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3636.1081219 https://www.ijitee.org/portfolio-item/L36361081219/ Yaroslav the Wise Novgorod State University, Veliky Novgorod, Russia Svetlana Igorevna Mitina* Nikolay Alexandrovich Sinkevich Yaroslav the Wise Novgorod State University, Veliky Novgorod, Russia Vladimir Ivanovich Ogorodnikov Academy of the Federal Penitentiary Service of Russia, Ryazan, Russia Irina Yurievna Rozhkova Academy of the Federal Penitentiary Service of Russia, Ryazan, Russia Victor Viktorovich Lukanin Academy of the Federal Penitentiary Service of Russia, Ryazan, Russia The article reveals the problem of the realization of officials’ legal responsibility for mercenary abuses in the service during the period of reforms of public administration in Russia in the 18th century on the example of the Novgorod province. The general trends and features of the formation of anti-corruption institutions in the system of provincial authorities and the country as a whole are determined based on the analysis of the history of Russian legislation and the study of the materials of judicial practice. 10 30 2019 4081 4083 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3637.1081219 https://www.ijitee.org/portfolio-item/L36371081219/ Kazan National Research Technical University named after A. N. Tupolev – KAI, Kazan, Russia. Elena Ivanovna Egorova* Design stage of production processes for machining of parts is a nontrivial task, and technologists face considerable difficulties while selecting the best solution. Aiming at better selection of alternatives, it is important to apply intelligent systems to design production processes. Ontological model of information representation about production process is described using attribute graphs, which allows analyzing the form and spatial relationships between the structural elements of objects, and reduces the scope of interpretation of concepts and the number of interpretive functions. 10 30 2019 4084 4089 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3638.1081219 https://www.ijitee.org/portfolio-item/L36381081219/ Bauman Moscow State Technical University (National Research University), Moscow, Russia, Marina Georgiyevna Sergeeva* Sergey Nikolaevich Rozhnov National University of Oil and Gas «Gubkin University», Moscow, Russia Vladimir Vladimirovich Zotov Institute of Social Engineering, Kosygin State University of Russia, Moscow, Russia Svetlana Vilalievna Rachek Ural State University of Railway Transport, Ekaterinburg, Russia Tatyana Yuriyevna Tsibizova Bauman Moscow State Technical University (National Research University), Moscow, Russia Nataliya Yurievna Terekhova Institute of Modern Educational Technologies, Bauman Moscow State Technical University (National Research University), Moscow, Russia Iana Viktorovna Poliakova Donetsk Pedagogical Institute, Donetsk Introduction: Improving the legal literacy and legal awareness of citizens is an integral part of building a democratic state. One of the ways to this improvement is the development of legal culture as an integrated nationwide program, covering all segments of the population, especially youth and students of all education levels. Methods: In the new conditions of the Russian Federation’s state system, the foreground task is to form a general legal culture, as well as to develop practical skills of students in vocational education institutions. Legal culture is a universal, basic component of professional training in any field. Results: Legal education and training are intended to solve the problem of forming a legal culture of students. The content of legal culture should not only be reflected in the Law course and other educational subjects comprising elements of legislation studies, but it should also develop opinions and attitudes of students to the law implementation in general. In the process of legal education in vocational education institutions, consideration of age and individual characteristics requires not just passive adaptation of the material and methods to the characteristics of students, but their active development in accordance with the general goal of forming legal awareness. Discussion: To be involved in efficient legal education, students must know the requirements of civil society for every individual and their own capacities, see their negative and positive traits, objectively evaluate them, avoid underestimating or overestimating their abilities and capacities, level of aspirations. Conclusion: The development of vocational education in modern conditions provides opportunities for increasing the importance and relevance of legal culture. The high level of legal culture has a positive influence on the development of personality and professional activities of graduates and on the harmonization of interrelations in society. 10 30 2019 4090 4094 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3639.1081219 https://www.ijitee.org/portfolio-item/L36391081219/ PG Scholar, M.Tech, Department of Computer Science and Engineering, GRIET , Affiliated to JNTUH, Hyderabad, India. Katikela Haritha* Dr. CH. Mallikarjuna Rao Professor of CSE, GRIET, Affiliated to JNTUH, Hyderabad, India. It has become crucial for the organizations, military and personal computer users to make the network security. Day by day, security has become a major issue with the increase of internet usage. The improvement in the security technology can be much understood from the security history. Network security is an immense field and it is in development stage. An immense amount of data is being generated every second due to technological advancement and reforms. Social networking and cloud computing are generating a huge amount of data every second. Every minute data is being captured in the computing world from the click of the mouse to video people tend to watch generating an immediate recommendation. Everything a user is doing on the internet is being captured in different ways for multiple intents. Now it all ends up monitoring the system and network and, securing lines and servers. This mechanism is called Intrusion Detection System(IDS). Hacker uses multiple numbers of ways to attack the system which can be detected through a number of algorithm and techniques. A comprehensive survey of some major techniques of machine learning implemented for detecting intrusions. Classification techniques are SVM, Random Forest algorithm, Extreme learning machine, and Decision Tree. NSL-KDD is the dataset used to get the higher rate of detection. The Result Analysis shows that, in terms of accuracy, this paper accomplishes better results when compared to any other related methods. 10 30 2019 4095 4100 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3640.1081219 https://www.ijitee.org/portfolio-item/L36401081219/ Department of Computer Science, S.A. Jain College, Ambala city, India. Jaideep Atri* Shuchita Upadhyaya Department of Computer science & Applications, Kurukshetra University, Kurukshetra, India. The Mobile Ad Hoc Networks (MANETs) are networks with unpredictable topology. The number of paths existing between a pair of nodes may change with time. Thus, discovered routes are not permanent in nature and are subject to change with movement of nodes. The constraints like limited energy life of nodes also influence the availability of paths. The flows of traffic or data load also influence the performance of network. Thus, load needs to be distributed among various possible paths. This can prevent overutilization of resources. Thus, a proper management of available resources is necessary for routing data packets efficiently in MANETs. In this paper, a Roulette wheel based load balancing approach has been presented. Further this approach has been applied to Ant colony based Energy Efficient Multipath Routing (ACBEEMR). The combined approach has been named as ACBEEMR-LB. The performance of ACBEEMR-LB has been evaluated and analyzed using the NS2 simulator. The results corresponding to the load balanced approach has been compared to the results of simple ACBEEMR and protocols like AOMDV. The results so obtained prove the benefits of using Load Balancing in case of multipath routing. 10 30 2019 4101 4105 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3641.1081219 https://www.ijitee.org/portfolio-item/L36411081219/ Research Scholar, Faculty of Science, Pacific Academy of Higher Education & Research University, Udaipur, India Aruna Sharma* Dr A. V. Dubewar Department of Mathematics, Datta Meghe College of Engineering, Airoli, Navi Mumbai, India This study investigates the MHD flow between two parallel infinite plates. Here the upper plate is moving with constant velocity and the lower plate is held stationary and a constant pressure gradient is applied to the system which is under the influence of an inclined magnetic field. The governing equations are formulated and transformed into non dimensional form. Numerical solution of the transformed governing equations are obtained using the Finite Difference method. The fluid velocity at different inclinations of the magnetic field and different strengths of magnetic field have been shown graphically and it has been observed that the increase in the angle of inclination leads to a decrease in fluid velocity and also an increase in magnetic strength leads to a decrease in the velocity profile. 10 30 2019 4106 4111 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3643.1081219 https://www.ijitee.org/portfolio-item/L36431081219/ Assistant professor in Hindusthan College of Arts & Science,Coimbatore Mrs. Selvapriya. M* Dr.G Maria Priscilla Professor and Head Department of Computer Science at Sri Ramakrishna College of Arts & Science, Coimbatore. In Recent Years, Social Emotion In Recent Years Acquires Natural Language Processing Researchers’ Attention, Because Of Analyzing User-Generated Emotional Documents On The Web. But, These Emotions Has Noisy Instance Mixed And It Is Great Dispute To Acquire The Textual Meaning Of Short Messages. Definition: In General, Large-Scale Datasets Will Have Many Noisy Data, Which Can’t Be Used Readily And Also It Is Costly, Because Of Ambiguity Of Various Informal Expressions In User-Generated Comments. It Is Very Tedious One To Recognize The Similar User Documents From The Entire Social Media Text Message. Furthermore, Online Comments Are Characteristically Categorized By A Sparse Feature Space, Which Makes The Respective Emotion Classification Task A Complex One. Methodology: Three Major Contributions Were Done In This Work In Order To Rectify These Problems, They Are: Development Of A Novel Mutation Bat Optimization Based Sparse Encoding (MBO-SC) Which Transforming The Sparse Low-Level Features Into Dense High-Level Features, Was The 1st Contribution, Next Is, An Enhanced Weight Based Convolutional Neural Network (EWCNN) To Target-Specific Layer. It Influences The Semantically EWCNN Classifier To Include Semantic Domain Knowledge Into The Neural Network To Bootstrap Its Inference Power And Interpretability. Fuzzy Clustering Algorithm Is Proposed To Minimize The Similarity Among Two Documents. Uses: It Is Quite Constructive In Recommending Products, Collecting Public Opinions, And Predicting Election Results. Proposed Work Is Distinguished With The Existing Methods, With The Metrics Such As: Precision, Recall, Sensitivity, Specificity, F-Measure And Accuracy. From The Experimental Result It Is Confirmed That The Quality Of Learned Semantic Vectors And The Performance Of Social Emotion Classification Can Be Enhanced By Proposed Models. 10 30 2019 4112 4121 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3644.1081219 https://www.ijitee.org/portfolio-item/L36441081219/ Research Scholar in the Department of Management, I K Gujral Punjab Technical University, Kapurthala. Ms. Sonpreet Kaur* Dr. Roopali Batra Faculty Department of Management, IK Gujral Punjab Technical University, Kapurthala. The past few decades have witnessed an overwhelming metamorphosis in education field across the globe having the repercussion of colossal quality. Such a drastic transformation has had its impact on the very objective of education making it immensely relevant and far-reaching. India is facing high pressure from its stakeholders as gladdening the clients is of paramount importance and which indeed is the mantra to withstand in the market-oriented ambience in the long run. To identify and implement the TQM in student life, the concept of learning and teaching which is the only method to come out with these difficulties. The teaching structure has vehemently started comprehending the importance of TQM in the education sector to meet the rigorous demands of associates paving the way for the improved and functional scenario. They can help in the true implementation of TQM in educational institutions which is the need of era as the quality of education is at an alarming stage. The study evaluated student's perception across management institutions in Punjab. Additionally, the study investigated the relationship between the dimensions of TQM and gender as well as on overall scores of student Perception. To accomplish the objective of the study, an evaluation questionnaire survey was employed to measure the student's perception of 7 quality dimensions for educational practices. Statistical tests were applied by using SPSS software. 10 30 2019 4122 4127 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3645.1081219 https://www.ijitee.org/portfolio-item/L36451081219/ Civil Engineering, Anurag Group of Institutions, JNTUH, Hyderabad, India D. Arvind kumar* Dr. A. Vimala Civil Engineering, Anurag Group of Institutions, JNTUH, Hyderabad, India High rise building structures are highly affected by lateral loads and wind forces. To enhance lateral force outrigger systems are developed, which are one of the most popular and efficient, because they are easier to build and they provides good lateral stiffness. With the rise of building height, deep beam become concrete walls at least of one story height. Axial shortening effect between core and perimeter structure has to be considered.In the present work 20 story reinforced concrete structure has taken with outrigger walls attached from core to the outer perimeter column. By changing the different position of outrigger level are kept for analysis.The building without and with outrigger are compared with bareframe. These are different building models analysed (a) Bare frame of twenty story building (b) Bare frame with core shear wall building (c) Outrigger system at top of building (d) Outrigger system at top & 0.75 Height of building (e) Outrigger system at top & 0.50 Height of building (f) Outrigger system at top & 0.25 Height of building. Non-linear static analysis results were compared. The analytical methods used in the work are pushover method. In this work, various parameters like pushover curve, displacement vs base force, story displacement, hinges formation are obtained for all the models.Outrigger at optimum level at 0.5 Height gives better results in both displacements and base force. To sustain peak lateral loads these systems are provided half of the height. These study gives has inelastic behaviour of structure. 10 30 2019 4128 4132 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3646.1081219 https://www.ijitee.org/portfolio-item/L36461081219/ Simplex Infrastructures Limited, Kolkata, India. Dr. Rajesh Bose Raktim Kumar Dey Simplex Infrastructures Limited, Mumbai, India. Srabanti Chakraborty Dept. of CST, EIEM, Kolkata, India. Dr. Sandip Roy* Dept. of CSE, Brainware University, Kolkata, India. Dr. Debabrata Sarddar Dept. of CSE, University of Kalyani, Kalyani, India. Different e-commerce companies try to maintain high importance for their customer satisfactions. It helps them to understand the performance of their products. Nowadays customers trust on the product reviews while shipping online. But it is a cumbersome task to handle millions of customer reviews within specific time period. Due to this problem consumers usually follow the set of reviews before taking decision for purchasing any products from online. Although, each consumer rates the product from 1 to 5 stars, these overall product rating judge products towards their customers satisfaction. Consumers also provide a text based summary as a review of their experiences and opinions about the products. Customer sentiment analysis is a method to process these customer reviews to summarize different products. In this manuscript, we analyzed the text summery of Amazon food products using NRC Emotion Lexicon to determine the overall responses of the products using eight emotions of the customers. Our result can be used to take further decision making for the future of the products. 10 30 2019 257 261 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3648.1081219 https://www.ijitee.org/portfolio-item/L36481081219/ Assistant Professor – Senior, Department of CSE, Vellore Institute of Technology, Vellore, India Anbarasi M.* Kartik Garg Department of CSE, Vellore Institute of Technology, Vellore, India. Sakshi Darpan Garg Student, Department of CSE, Vellore Institute of Technology, Vellore, India. Yogesh Babu S Assistant Professor(Selection Grade), Department of CSE, Vellore Institute of Technology, Vellore, India Saleem Durai M.A. Associate Professor, Department of CSE, Vellore Institute of Technology, Vellore, India Plant leaf diseases and ruinous insects are an important concern in the agricultural sector. The agriculture is dependent on the agricultural productivity by the country, the better is the agricultural productivity, the better is the economy, and hence better is the GDP. The most common and useful way of boosting this economy for any country is the identification of these diseases in the plant and agricultural product that has been obtained. Developments in Deep Learning have facilitated researchers to improve the performance and in exacting systems for object detection and recognition. In this paper, we propose an image processing and Convolutional Neural Network based approach to detect the diseases affecting plants. Our goal is to develop an Android application with a suitable algorithm that will help automate the process of monitoring and detecting plant health. The proposed android application can effectively detect and identify various types of diseases with the ability to handle complex plant-area scenarios. 10 30 2019 4133 4137 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3649.1081219 https://www.ijitee.org/portfolio-item/L36491081219/ Faculty of Computing and Information Technology, Tunku Abdul Rahman University College (TAR UC), Johor, Malaysia. Pui Huang Leong* Ong Sing Goh Centre for Advanced Computing Technology, Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka (UTeM), Melaka, Malaysia. Yogan Jaya Kumar Centre for Advanced Computing Technology, Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka (UTeM), Melaka, Malaysia. In accordance to the Fourth Industrial Revolution, the emergence of the digital transformation alongside with the collaboration between networked machines and human beings in decision-making has attracted much attention globally. The utilization of conversational agent to convey information on behalf of human have gained popularity and been used extensively. As a result, this research intends to examine and to innovate the current corporate website by providing the capabilities to deliver instantaneously replies and reliable information through the integration of a conversational agent via deep learning, comparable to communicating with the competent customer service consultant. This study is reliant on the Artificial Intelligence (AI) to offer natural language processing (NLP) by presenting retrieval-based model and Deep Learning to enable the conversation agent to make smarter and better decision in generating reliable and up-to-date responses. Furthermore, this research intends to automate the process of minimizing the need for human interference, specifically the botmaster to perform the knowledge maintenance manually. 10 30 2019 4138 4145 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3650.1081219 https://www.ijitee.org/portfolio-item/L36501081219/ Moscow City Pedagogical University, Moscow, Russia Galina Ivanovna Gribkova* Sofiya Shavkatovna Umerkaeva Moscow City Pedagogical University, Moscow, Russia Svetlana Yurievna Zavarina State University of Humanities and Technology, Orekhovo-Zuyevo, Russia Marina Igorevna Dolzhenkova Tambov State University named after G. R. Derzhavin, Tambov, Russia Alexander Vladlenovich Kamenets Russian State Social University, Moscow, Russia The paper reveals one of the key problems of the modern artistic pedagogy, which lies in the application of the potential of creative fantasy and imagination of students in the pedagogical process. It considers the various preconditions for the development of the ability to fantasize, depending on the individual capabilities of students. Reliance on initially individual systems of perception of artistic information with the subsequent development of this perception to the level of creation of full-fledged artistic images and interpretations is proposed as a leading pedagogical strategy. The interrelation between the organized social and aesthetic experience of students and possibilities of creative fantasy and imagination is established. In this process, the role of educational creative teams as a space of social, artistic and aesthetic development of students is highlighted. 10 30 2019 4146 4149 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3651.1081219 https://www.ijitee.org/portfolio-item/L36511081219/ Department of Mathematics, SASTRA Deemed University, Thanjavur, India. Veena Narayanan* V Yegnanarayanan Department of Mathematics, SASTRA Deemed University, Thanjavur, India. R Srikanth TATA Realty-SASTRA Srinivasa Ramanujan Research chair for Number theory, SASTRA Deemed University, Thanjavur, India. In this paper we probed some interesting aspects of primorial and factorial primes. We did some numerical analysis about the distribution of prime numbers and tabulated our findings. Also, we pointed out certain interesting facts about the utility value of the study of prime numbers and their distributions in control engineering and Brain networks. 10 30 2019 4150 4153 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3652.1081219 https://www.ijitee.org/portfolio-item/L36521081219/ PG Scholor, M.Tech, Department of Computer Science and Engineering, Gokaraju Rangaraju Institute of Engineering and Technology, Affiliated to JNTUH, Hyderabad, India. Maidam Manisha* Dr. Anuradha Kodali Professor, Department of Computer Science and Engineering, Gokaraju Rangaraju Institute of Engineering and Technology, Affiliated to JNTUH, Hyderabad, India V. Srilakshmi Assistant Professor, Department of Computer Science and Engineering, Gokaraju Rangaraju Institute of Engineering and Technology, Affiliated to JNTUH, Hyderabad, India. The tremendous rise in technology and social media sites enabled everyone to express and share their thoughts and feelings with millions of people in the world. Online social networks like Google+, Instagram, Facebook, twitter, LinkedIn turned into significant medium for communication. With these sites, users can generate, send and receive data among large number of people. Along with the advantages, these platforms are having few issues about its user safety such as the build out and sharing suicidal thoughts. Therefore, in this paper we built a performance report of five Machine Learning algorithms called Support Vector Machine, Random Forest, Decision Tree, Naïve Bayes, and Prism, with the aim of identifying, classifying suicide related text on twitter and providing to the research related to the suicide ideation on communication networks. Firstly, these algorithms identify the most worrying tweets such as suicide ideation, reporting of suicidal thoughts, etc. Also, find outs the flippant to suicide. Along with ML classifiers, One of the most powerful NLP technologies i.e: Opinion summarization is used to classify suicidal and non-suicidal tweets. The outcome of the analysis representing that Prism classifier achieved good accuracy by observing emotions of people and extracting suicidal information from Twitter than other machine learning algorithms. 10 30 2019 4154 4160 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3655.1081219 https://www.ijitee.org/portfolio-item/L36551081219/ P.G.Scholar, Mtech-Computer Science and Engineering,Department of Computer Science and Engineering,GRIET,Hyderabad,India G.Sirichandana reddy* Dr.Ch .Mallikarjuna Rao Professor of CSE Department of Computer Science and Engineering, GRIET,Hyderabad,India MapReduce is a programming paradigm and an affiliated Design for processing and making substantial data sets. It operates on a large cluster of specialty machines and is extremely scalable Across the past years, MapReduce and Spark have been offered to facilitate the job of generating big data programs and utilization. However, the tasks in these structures are roughly described and packaged as executable jars externally any functionality being presented or represented. This means that extended roles are not natively composable and reusable for consequent improvement. Moreover, it also impedes the capacity for employing optimizations on the data stream of job orders and pipelines. In this article, we offer the Hierarchically Distributed Data Matrix (HDM), which is a practical, strongly-typed data description for writing composable big data appeals. Along with HDM, a runtime composition is presented to verify the performance of HDM applications on dispersed infrastructures. Based on the practical data dependency graph of HDM, various optimizations are employed to develop the appearance of performing HDM jobs. The empirical outcomes show that our optimizations can deliver increases of between 10% to 60% of the Job-Completion-Time for various types of applications when associated with the current state of the art, Apache Spark. 10 30 2019 4161 4165 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3658.1081219 https://www.ijitee.org/portfolio-item/L36581081219/ Department of Management, Eternal University, Himachal Pradesh-173101, India. Geeta Kumari Shivani Khanna Department of Management, Eternal University, Himachal Pradesh-173101, India. Hemant Bhanawat Department of Commerce, Eternal University, Himachal Pradesh-173101,India. K. M. Pandey* Department of Mechanical Engineering, National Institute of Technology Silchar, Assam-788010, India. In this research paper a comparative study on occupational health and safety of workers has been done for two pharmaceutical companies in and around the city of Solan in Himachal Pradesh, India. The results show that more workers have accepted that workers have been provided with appropriate procedures and instructions before completing the task. Therefore, it can be concluded that management takes it seriously that workers understand the exact course of action before carrying out the task so that it is safer for workers to carry out the operations. At the same time, some employees denied that they had proper procedures and instructions. This may be due to a lack of employee awareness. The majority of employees agreed that companies regularly follow the procedures for documenting the investigation of incident, and employees appear to be contented with this provision. Thus, it can be concluded that administration appropriately reviews each incident that occurs during the execution of the task and follows the correct documentation system to determine the real cause for the incident. It is noted that most employees have accepted that companies have followed the proper procedures for inspecting and assessing equipment hazards and that workers are satisfied with them. It can therefore be concluded that the organization has recognized the need to review and investigate the risks to facilities that exist or may exist in the facilities in order to affect workers' health. 10 30 2019 4166 4171 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3659.1081219 https://www.ijitee.org/portfolio-item/L36591081219/ Department of Highway Technology, VTU Regional centre for PG studies, Kalaburagi, India. Shaikh Ashfak* Maneeth P D Assistant Professor, Department of Civil Engineering, VTU Regional centre for PG studies, Kalaburagi, India. Sharanabasappa Kori Assistant Professor, Department of Civil Engineering, VTU Regional centre for PG studies, Kalaburagi, India. Soil stabilization is the process which involves enhancing the physical properties of the soil in order to improve its strength, durability etc. by blending or mixing with additives. The different types of method used for soil stabilization are: Soil stabilization with cement, Soil stabilization with lime, Soil stabilization using bitumen, Chemical stabilization and a new emerging technology of stabilization by Geo textiles and Geo synthetic fibres. In this study, we are making use of Jute and Coir fibre as geo synthetic material for stabilization of soil. With the introduction of Jute and Coir fibres to the soil the CBR values will improve and thickness of pavement layer also gets reduced. It also reduces the intensity of stress on subgrade. Jute and Coir fibres are such a geo synthetic material which is easily available, eco friendly and also cost-effective. With the application of soil stabilization method in construction the overall cost gets reduced when compared to the ordinary method of construction. To determine the Liquid limit using Casagrande Method, Plastic limit by rolling the sample to 3mm diameter thread, Optimum Moisture Content and Maximum Dry Density using Standard Proctor Test, Unconfined compression test and also California Bearing Ratio by conducting CBR test. 10 30 2019 4172 4177 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3662.1081219 https://www.ijitee.org/portfolio-item/L36621081219/ Assistant Professor, Department of IT, Vardhaman College of Engineering, JNTUH, Hyderabad, India, Kachi Anvesh* B Satya Prasad Student, pursuing final year, Department of IT, Vardhaman College of Engineering, JNTUH, Hyderabad, India Venkata Sai Rama Laxman Student, pursuing final year, Department of IT, Vardhaman College of Engineering, JNTUH, Hyderabad, India, B Satyaarayana Student, pursuing final year, Department of IT, Vardhaman College of Engineering, JNTUH, Hyderabad,India, The amenable statement with respective to Company Organization, Institution and students is that the company organization are taking more time to recruit which is a big challenge to them and there is no specific platform to recruit candidates on preferred qualifications. The Institutions are unable to get 100% placements among eligible students.The institutions doesn’t provide proper training on minimum and preferred qualifications to the students. The candidates are unable to get specific training from college organization. The college organization should provide the training to candidates at what they are lagging behind and make the students to get stronger in preferred qualifications and all other aspects. “52% of Talent Acquisition leaders say the hardest part of recruitment is screening candidates from a large applicant pool”. The time spent on screening students from a large pool often takes up the largest portion of the time. Despite College Organization are also not training students effectively based on company requirements. The analysis of student is to be done to know where the student is failing to get the placement. The company doesn’t know the personalityof the student while recruiting the students. To solve this bottleneck in recruiting we created this automation tool. The main process of determining whether a candidate is qualified based on minimum qualifications like CGPA, Certifications, Projects done, Internships and respectively. There are two main goals of this project are: 1. To decide whether to move the student forward to an interview or to reject them. 2. The college organization can give more training to the students those who got rejected by small issues like communication, programming, aptitude… This process is based on minimum qualifications and preferred qualifications. Both types of qualifications are more useful to the recruiters. These qualifications can include experience on projects, education, skills and knowledge, personality traits, competencies. The minimum qualifications are the mandatory qualifications that the company organizations required and preferred qualifications are not mandatory but to make the student stronger from other students. The personality and also technical knowledge can be given accurately by the faculty, mentor, H.O.D. Based on the qualifications, personality analysis, we can shortlist the students and proper analysis is done. So the recruiters don’t spend more time and college scan improve their placement percentage to 95% by improving more skills of the students, improving skills who are lagging behind (not short-listed). The colleges can predict how many students are going to be placed and who are needed to be trained more. The students can evaluate themselves about their suitable job role which make organizations easy to give job role to the students. This paper mainly concentrates on the career area prediction of computer science domain candidates. 10 30 2019 4178 4183 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3664.1081219 https://www.ijitee.org/portfolio-item/L36641081219/ CSE department, GMR Institute of Technology, Rajam, AP, India, Mr.K.Phani Babu* Dr. G.Siva Nageswara Rao CSE department, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India Now a days, monitoring of various health parameters of patient at hospitals has become a widespread phenomenon. People are losing their lives in unanticipated way with heart attack by not finding symptoms of it before happening. We can decrease such unanticipated death rates by implementing the project named Patient Health Monitoring System. In this project we will design a system which monitors the patient health parameters like body temperature, heartbeat, blood pressure and so on by using Internet of Things (IoT). IoT is where data collection is done through various devices like sensors and data will be stored in Cloud where we can extract and analyze the data faster with efficiency by making interaction among them. The proposed technique screens the essential health parameters and transmits the information through a wireless communication which is additionally moved to a network by means of a wifi module. The information can be obtained anytime advancing the reception of the present status of the patient. The doctors, just as the caretaker are intimated quickly through a message service or an audio signaling device at the time of abrupt conditions or any sick indications. Moreover, complexity level, power consumption of our design System is low and is highly portable for healthcare monitoring of patients. 10 30 2019 4184 4188 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3667.1081219 https://www.ijitee.org/portfolio-item/L36671081219/ Center for Materials Engineering and Smart Manufacturing (MERCU), Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bandar Baru Bangi, Selangor, Malaysia. Nor Kamalian Khamis* Ng Chun Tee Center for Materials Engineering and Smart Manufacturing (MERCU), Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bandar Baru Bangi, Selangor, Malaysia. Mohd Faizal Mat Tahir Center for Integrated Design of Advanced Mechanical Systems (PRISMA), Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bandar Baru Bangi, Selangor, Malaysia Nabilah Sabri Center for Materials Engineering and Smart Manufacturing (MERCU), Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bandar Baru Bangi, Selangor, Malaysia Assessment of sitting condition on the car seat is important as the driver requires to remain seated while maneuvering the car. The seating situation with relatively restricted position and posture can lead to discomfort and fatigue among drivers. When the driver is getting fatigue, it may reduce the performance, and hence increase the risk of road accident. Up to this date, numerous study were conducted to solve this issue. However, majority of these studies performed the study in the laboratory. Furthermore, majority of the experiment were not used the actual car and provide clear interaction between driving posture and pressure distribution pattern. Hence, this study aims to determine the onset level of driver’s condition in term of discomfort rating scale and pressure distribution on the car seat under static condition by using actual car. Forty-four participants involved in this study by integrating discomfort rating assessment for the subjective evaluation and Pressure Sensor for the objective assessment. There were two main sections for subjective assessment that required the participant to provide the feedback on general discomfort level and body part discomfort while seating. Meanwhile, objective assessment used pressure map by Tactilus with 32 x 32 sensor matrix. All participants were required to sit on the car seat for five minutes. Findings showed that the driver’s discomfort and pressure pattern increased with time. In addition, the peak pressure distribution was found at the right buttock of the participant. Driving posture also influence the pattern of pressure distribution. This study provides a guideline for the automotive manufacturer to provide the optimal design of the car seat by maximizing the seat materials in term of quantity and quality with the highest pressure distribution levels. This adjustment can help to minimize the load concentration by providing a good pressure distribution. 10 30 2019 4189 4194 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3668.1081219 https://www.ijitee.org/portfolio-item/L36681081219/ Department of Mechanical Engineering, Hindustan Institute of Technology and Science, Chennai, Tamil Nadu, India. Seralathan S* Kannan M Department of Mechanical Engineering, Hindustan Institute of Technology and Science, Chennai, Tamil Nadu, India. Vinoth Kumar M Department of Mechanical Engineering, Hindustan Institute of Technology and Science, Chennai, Tamil Nadu, India. Johnson Samuel S Department of Mechanical Engineering, Hindustan Institute of Technology and Science, Chennai, Tamil Nadu, India. Hariram V Department of Mechanical Engineering, Hindustan Institute of Technology and Science, Chennai, Tamil Nadu, India. Flow through vaneless diffuser in the centrifugal compressor stage is studied at varied flow conditions using finite volume method based commercial code, ANSYS CFX. The contour of static pressure, stagnation pressure, absolute velocity, as well as meridional velocity divulges the nature of flow that happens in the centrifugal compressor stage. Circumferential non-uniformity due “jet-wake” formation is seen at the impeller exit. These lead to mixing of fluid having varied energy levels which happens within the vaneless diffuser. Total pressure rises along the radius ratio and its distribution is higher near the shroud for all flow conditions. Absolute velocity reduces along radius ratio as area of the flow passage increase indicating diffusion. The meridional velocity is seen as non-uniform at Ф = 0.15 but, it is uniform at diffuser exit at Ф = 0.25. 10 30 2019 4195 4202 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3671.1081219 https://www.ijitee.org/portfolio-item/L36711081219/ Industrial University of Tyumen, Tyumen, Russia Alena Petrovna Shestakova* In the article, the author presents an original technology for assessing the efficiency of housing fund reproduction. According to the presented methodology, the author suggests assessing the efficiency of housing fund reproduction based on two aspects: first, the indicator of condition, which is an integral indicator determined based on a group of aggregated indicators related to main directions of housing market development; second, the indicator of dynamics – a growth coefficient calculated as a geometric mean of growth coefficients in social, technical, investment and market indicators. To interpret and visualize obtained data concerning integral indicators assessing the efficiency of housing fund reproduction, the author has upgraded the Harrington scale by supplementing it with values of the reviewed ranges of the average growth coefficient, which characterizes the pace of housing fund reproduction. This upgrade has allowed the author to transform the scale into a two-dimensional matrix and to highlight efficiency areas in it, namely high, above-average, below-average and low, which are recommended for the assessment of reproductive activities on federal, regional and municipal levels. The visualization has helped the author build a development trajectory for housing fund reproduction within certain chronological frames based on the aggregate of objects under study. 10 30 2019 4755 4760 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3672.1081219 https://www.ijitee.org/portfolio-item/L36721081219/ Department of Electrical & Electronics Engineering, Dayananda Sagar Academy of Technology & Management, Bangalore, India. Kiran R* B. R. Lakshmikantha Principal, Dayananda Sagar Academy of Technology & Management, Bangalore, India. K.Shanmukha Sundar Department of Electrical & Electronics Engineering, Dayananda Sagar Academy of Technology & Management, Bangalore, India. Smart grid is an advanced electrical supply system in which data is conveyed bi directionally utilizing computerized correspondence innovation. Observing, investigating, controlling and correspondence happens inside the inventory network accordingly improving proficiency, lessening vitality utilization and so on. A Phasor Measurement Unit (PMU) measures electrical signals in system. PMUs are utilized in the transmission side of the system. These are introduced at different places on the network and are time synchronized utilizing Global Positioning System (GPS). Thus real time synchronized continuous estimations are obtained from different estimation points on the network. PMU helps in automating the system. A system of PMUs called Wide Area Measurement System (WAMS) can be utilized for huge scale monitoring of the network. Power outages and load shedding in the system can avoided. PMUs can synchronously gauge voltage and current, phase angle, power, energy import & export, frequency, frequency deviations, etc. These parameters can be utilized to tell about the state of the system. The optimal placement of PMUs & Event detection techniques from the synchronized PMU data are determined using MATLAB software. Programming PMUs to detect the events in the system & placing it optimally can help diminish the huge expense and equipment intricacy. 10 30 2019 4761 4767 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3674.1081219 https://www.ijitee.org/portfolio-item/L36741081219/