-4d90550d17f4602e0893646 20220725060151325 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 & Head, Department of Information Technology, Sri Ramakrishna Engineering College, Coimbatore, India. Dr. M. Senthamil Selvi* A. Kayalvizhi Assistant Professor, Department of Information Technology, Sri Ramakrishna Engineering College, Coimbatore, India. C. Premalatha Assistant Professor, Department of Information Technology, Sri Ramakrishna Engineering College, Coimbatore, India. The banking bot project is to create an Intelligent machine for banks to read the users queries and respond at a faster rate. The aim of the project is to develop a system for banks where users/ customers can ask any bank related questions like loan, services, account, schemes, policy etc. The application will be developed for web users. The machine recognizes the queries and answers appropriately. Even if the user does not frame sentence properly, system will understands the query and answer accordingly based on the frequent matching datasets. There is no specific format to follow for the user to ask questions. This project helps to create a user friendly Artificial Intelligent system to resolve user’s basic queries. 10 30 2019 3171 3174 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2790.1081219 https://www.ijitee.org/portfolio-item/L27901081219/ Department of Civil Engineering, Annamalai University, Chidambaram N. Kayalvizhi* Dr. B. Asha Department of Civil Engineering, Annamalai University, Chidambaram A laboratory scale of biphasic anaerobic bioreactor was operated in a total working volume of 36.92l with 6.15l of Acidogenic and 30.77l of Methanogenic reactor for treating Pharmaceutical wastewater in a mesophilic conditions. The Organic Loading Rate for this experimental study was varied from 1.448 to 30.80Kg COD/m3.d for Acidogenic Reactor and 0.364 to 9.435Kg COD/m3.d for Methanogenic reactor. The maximum COD removal efficiency was attained 87.54% with OLR of 2.750Kg COD/m3.d in Methanogenic reactor and 27.39% with OLR of 3.578 Kg COD/m3.d Acidogenic reactors. The overall reactor reached the maximum COD removal efficiency of 83.52% with an influent COD of 2864mg/l of pharmaceutical wastewater. 10 30 2019 679 682 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2792.1081219 https://www.ijitee.org/portfolio-item/L27921081219/ Associate Professor, Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India. S. John Justin Thangaraj* M. Rajesh Khanna Associate Professor, Department of Information Technology, Vel Tech Multi Tech Dr.Rangarajan Dr. Sakunthala Engineering College. R. Balamanigandan Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India. A Wireless Sensor Network may often consist of hundreds of distributed sensors. Our goal is to formulate wireless sensor networks (WSNs) fault identification problem in terms of pattern classification and to introduce a newly developed algorithm, neighbor node hidden conditional algorithm (NHCA) to determine the unknown path through which packets are transmitted from source to destination. We propose a concept of fault recovery in WSN using clustering. This includes the protocols of Dynamic Delegation based Efficient Broadcast and Neighborhood Hidden Conditional Random Field Algorithm. The history of transmission is classified according to the pattern, sorted and ranked along with the cluster information. The data privacy is maintained with in the cluster during the packet transmission apart from the destination which may present outside the cluster. The leader of the cluster is restricted only to view the transmission path in order to maintain the confidentiality of the data transmitted. Our simulation results strongly enforce fault recovery in quick time and also maintain the confidentiality of data. 10 30 2019 5226 5230 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2793.1081219 https://www.ijitee.org/portfolio-item/L27931081219/ Department Computer Science and Engineering, KL (Demmed to be University), Vijayawada, India. N Gowtham Kumar* P. Niranjan Department Computer Science and Engineering, Kakatiya Institute of Technology and Science, Waranagal, India. D. Aruna Kumari Department of Electronics and Computer Engineering, KL (Deemed to be University), Vijayawada, India. Cloud computing is an on demand paradigm which provides a different kind of services to the cloud users. Cloud storage is the most popular service, as the data owners are free from the data management and storage overhead. However, the data owners’ concern about the security of the data. In order to address this issue, this paper presents an efficient security with an auditing scheme that guarantees the security of the data and preserve data integrity. In this paper, the cloud storage auditing model used efficient privacy preserving algorithm, namely Markle Hellman Knapsack Crypto-System (MHKCS) algorithm. This algorithm effectively improves the data integrity, confidentiality and security. Moreover, reduces the key generation time, encryption time and decryption time. The performance of MHKCS algorithm is calculated using evaluation metrics like encryption time, decryption time, key generation time and communication cost. The MHKCS algorithm achieved approximately 10% better performance in terms of encryption time than the existing methods RSA, MRSA, and MRSAC. 10 30 2019 5231 5238 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2794.1081219 https://www.ijitee.org/portfolio-item/L27941081219/ PG & Research Department of Computer Science, Rajah Serfoji Government College, Thanjavur, India. K. Sangeetha* K. Mohankumar Head, PG & Research Department of Computer Science, Rajah Serfoji Government College, Thanjavur, India. In this world, earthquake is a major catastrophe which creates huge amount of loss in living non living things. The prediction of an earthquake is an important task in seismology. Neural network performs a key task in the prediction of earthquake. The neural network architecture are created with different input layer and hidden layers with deep learning optimization algorithms. The input layer was developed with the parameters of historical earthquake data of India taken from India Meteorological Department (IMD). The earthquake event such as date, latitude, longitude, depth, magnitude are mathematically converted into seismic indicators depend on Gutenberg-Richter’s inverse law, are the input layers of this neural network model. The developed network model was trained with set of data items using neural network algorithms such as Backpropagation and sequential learning. The Backpropagation is used to find the magnitude prediction and sequential learning is used to find the prediction model for the cartographic risky areas. The loss and accuracy of the model are analyzed with the help of software tool, Disaster Management System which is developed for this work using Python. The deep neural network optimizers such as Stochastic Gradient Descent (SGD), Adaptive Gradient algorithm (AdaGrad) and Root Mean Square propagation (RMSprop) are used to optimize the prediction model. The optimizer produced earthquake prediction model with high ability and more accuracy. Also give the cartography which shows the seismic zone in India face earthquake in future. 10 30 2019 5239 5244 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2798.1081219 https://www.ijitee.org/portfolio-item/L27981081219/ (OptiMAS), Faculty of Information Communication and Technology, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka Malaysia, Zuraida Abal Abas* Zaheera Zainal Abidin (INSFORNET), Faculty of Information Communication and Technology, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka Malaysia, Mohamad Raziff Ramli (OptiMAS), Faculty of Information Communication and Technology, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka Malaysia, One of the national primary health care services in Malaysia is school health care. This care is very crucial as it ensures that, countrywide, the health of students from the age of five to fifteen is in a good condition. In Malaysia, nurses hold a major responsibility for delivering the school health service. However, there is no solid research investigating the nursing time required to deliver school health services. This paper presents a system dynamics model representing the specific school health services delivered by nurses. System Dynamics is a computer-aided approach to policy analysis and design. In this paper, the system dynamics model are represented by several causal loop diagrams which covers all the school health activities and is able to determine the projected total nurse time required in delivering the service. The baseline simulation result of the nurse time required for delivering school health services is about 1080000 hours in year 2030, which is equivalent to 680 full time equivalent (FTE) nurses. Furthermore, various what-if analyses are tested with the model, as it is important for policy makers to investigate various scenarios for an effective decision-making process. In other words, the theme of the study is to understand the implication of the changes in school population size and the modification of certain activities in the school health program on the nurse time spent delivering school health service by developing a dedicated forecasting system dynamics model for school health. The time horizon for the forecasting is from 2018 until 2030. 10 30 2019 3277 3284 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2800.1081219 https://www.ijitee.org/portfolio-item/L28001081219/ Electronics & Communication, Amity University Uttar Pradesh, Noida, India. Yogesh* Ashwani Kumar Dubey Electronics & Communication, Amity University Uttar Pradesh, Noida, India. Rajeev Ratan Electronics & Communication, MVN University, Palwal, India. Fruit classification is a challenging task in image processing. Computer vision based classification method is agile and rigorous compared to human based approach. In this paper, a method is developed for feature classification using deep learning. The region with their own characteristics is classified based on deep learning convolutional neural network technique. Traditional method for diagnosis of fruit involves visual observations by experts. The interference of environmental factors needs to be considered during diagnosis process. Datasets such as VOC, PASCAL, ImageNet etc. are easily available that are used for training of several different types of objects. The proposed model introduces two pre-trained networks; AlexNet and GoogLeNet. For faster and optimized training, Rectified linear unit (ReLu) is used that maintain positive value and map negative values to zero. The model learns to perform classification directly from images. Neural network architecture is used for implementation of deep learning. Error in deep learning is minimized compared to machine learning. The high end GPU’s reduces the training time. A transfer learning technique is proposed to retrain the network that is capable of performing new recognition task. 10 30 2019 3285 3290 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2804.1081219 https://www.ijitee.org/portfolio-item/L28041081219/ Department of Mechanical Engineering, Institute of aeronautical Engineering college, Hyderabad, India. Dr.G.V.R.Seshagiri Rao* Mohammad Arshad Ali Department of Mechanical Engineering, Institute of aeronautical Engineering college, Hyderabad, India. Conveyors are one of the most commonly used mechanical handling equipments which transports or moves bulk materials from one point to another point. Conveyors are useful in many applications which involve the transportation of bulky materials. Conveyors allow efficient and quick transportation of a several varieties of materials, making conveyors very popular in material handling industries as well as packaging industries. Though these conveyors have above advantages they will require huge amount of power to drive the belts. As a result of increase in fuel prices all over global markets and scarce of fossil fuels the electricity charges are increasing tremendously. By reducing belt drive power consumption huge amounts of money can be saved and we can reduce the emissions of green house gases. Fixed solid scrappers are used to remove coal or powdered raw material which sticks to belt due to surface moisture during rainy season. Though fixed solid scrappers are one of the resistances which contribute to additional power consumption of the belt conveyors, it is essential as If powder deposits are not removed will erode return idlers. As a part of my project dissertation I have opted to study a coal conveyor system design, selection of various components, calculation of tension / loads on conveyor system and reduction of conveyor power consumption by modifying conventional fixed solid scrapper to flip type scrapper. The arrangement will expose the belt to solid scrapper only when belt is wet and remaining time to brush. 10 30 2019 3291 3294 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2806.1081219 https://www.ijitee.org/portfolio-item/L28061081219/ Computer Science and Engineering,National Institute of Technology Silchar, Assam, India. Badal Soni* Angshuman Bora Computer Science and Engineering,National Institute of Technology Silchar, Assam, India. Arpita Ghosh Computer Science and Engineering,National Institute of Technology Silchar, Assam, India. Anji Reddy Computer Science and Engineering, Lendi Institute of Engineering and Technology, Andhra Pradesh, India. Cancer is a disease, which develops, in human body due to gene mutation. Due to various factor cells turn into cancerous cell and grow rapidly while damaging normal cells. Many women get affected by breast cancer, which might even cause death if not treated at early stage. Early detection of breast cancer is highly important to increase the survival rate. Machine learning methods and technologies are making it possible to classify and detect the class in an accurate manner. Among other classifiers, random forest and support vector machine are two classifiers that have a good classification power. In this, research a combination of these two classifier i.e. Random Forest and Support Vector Machine (RFSVM) is proposed for early diagnosis of breast cancer cell using Wisconsin Breast Cancer Dataset (WBCD). Using different train-test data ratio experiments are performed and an average of more than 98percentage accuracy is achieved using this hybrid classifier. This paper overcomes the over-fitting problem of random forest and the need of tuning the parameters of Support Vector Machine. Even with limited data available, the classifier tunes its parameters so well to give a highly accurate result. 10 30 2019 3295 3305 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2808.1081219 https://www.ijitee.org/portfolio-item/L28081081219/ Research Scholar, Department of Mechanical Engineering, NIT Patna, Mahendru, Patna Dhiraj Kumar* Sharifuddin Mondal Asst. Professor, Department of Mechanical Engineering, NIT Patna, Mahendru, Patna Forging industry consists of simple procedural steps, but a lots of problems are associated with the forging industries. This paper describes the major problems in forging industries along with their cause and effect that reduce the extent of profits. An attempt has also been made to apply Fuzzy multi-criteria combined with TOPSIS method in ranking the problems on the basis of various parameters. This approach improves the quality of manufacturing for forging goods, material availability & its price, fuel supply, technology upgradation, material wastage etc. The proposed approach is very useful due to its capability of providing optimal results with incomplete significant information. The study is the first of its type in forging industries. A numerical model is considered to indicate the effectiveness of the present technique. 10 30 2019 3306 3314 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2811.1081219 https://www.ijitee.org/portfolio-item/L28111081219/ Faculty of Sports Science and Coaching, Sultan Idris Education University, Malaysia. Roshdan Ahmad* Nur Ikhwan Mohamad Faculty of Sports Science and Coaching, Sultan Idris Education University, Malaysia. Thariq Khan Azizuddin Khan Faculty of Sports Science and Coaching, Sultan Idris Education University, Malaysia. Witthaya Hemapandha Faculty of Health and Sports Science, Thaksin University, Thailand Lunge and squat exercises are two exercises mainly used in strength training due to its multi-joint, structural and free weights nature and benefits. Main aim of this study is to determine the effect of verbal and video-based mode of instructions on both exercises. Joint angles and muscle activation were measured as an indicator or determinants of the effect of the exercises. Thirty male participants were recruited and involved in two testing occasions. Results of the study indicated no significant differences for both exercises in term of all determinants measured. As a conclusion, mode of instructions may give variety to teaching and learning approach for both exercises, but it produces similar effects. Most important is to ensure in any mode of instructions utilized, the technical aspects given are based on correct biomechanical ques for optimal mechanical effect. 10 30 2019 683 685 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2812.1081219 https://www.ijitee.org/portfolio-item/L28121081219/ Faculty of Sports Science and Coaching, Sultan Idris Education University, Malaysia. Noorzaliza Osman* Zulezwan Ab Malik Faculty of Sports Science and Coaching, Sultan Idris Education University, Malaysia. Noor Aiwa Rosman Faculty of Sports Science and Coaching, Sultan Idris Education University, Malaysia. Jaffry Zakaria Faculty of Sports Science and Coaching, Sultan Idris Education University, Malaysia. Ali Md Nadzalan Faculty of Sports Science and Coaching, Sultan Idris Education University, Malaysia. This study aimed to determine the anthropometrics of athletes representing Universiti Pendidikan Sultan Idris (UPSI) during the Malaysian Inter-varsity Sports (MASUM) tournament, 2018. In this study, 50 athletes consisted of 15 hockey players, 12 netball players, 13 volleyball players and 10 volleyball players were recruited as participants. Percentage of body fat was measured using formula by Jackson, Pollock and Ward (1980) while somatotype were determine using the scale by Heath and Carter. Data were analyzed using descriptive statistics and Pearson correlation. The results of the anthropometric profile indicate that almost all teams have an endo-meso (more muscular) body, but the results of the relationship showed that significant relationship between the anthropometric profile and the performance were only found in the bowling team, r = 0.13, p = 0.14, p < 0.05. For hockey, netball, and volleyball teams did not show significant relationship (r = 0.15, p = 0.74, p> 0.05), (r = 0.12, r = 0.64, p> 0.05), (r = 10, p = 0.71, p> 0.05) respectively. In conclusion, the overall anthropometric profile cannot be indicated as determinant of a team's performance at the MASUM 2018 tournament. 10 30 2019 686 687 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2813.1081219 https://www.ijitee.org/portfolio-item/L28131081219/ Faculty of Sports Science and Coaching, Sultan Idris Education University, Malaysia. Abd Rahim Mohd Shariff* Saeed Javed Department of Physical Education and Sports Sciences, The Islamia University of Bahawalpur, Pakistan. Ali Md Nadzalan Faculty of Sports Science and Coaching, Sultan Idris Education University, Malaysia. This study was conducted to determine the social support mechanism, emotional literacy and its relationship as a predictor of aggressive behaviour among secondary school students. Skor Keagresifan Pelajar Sekolah (English: student aggression score) or termed as SKiPS was used to obtain the data. The study had been conducted at three secondary schools (N=212) in Malaysia. The findings revealed that social competence of cooperation, social communication competence, emotional literacy, friend social support, and family social support were found negatively correlated with physical aggression, indirect aggression, verbal aggression and authority aggression. On the other hand, a positive relationship was found between the teacher's social support and the student’s physical aggression, indirect aggression, verbal aggression and authority aggression. Findings of this study suggested that increases in psycho-social maturity are associated with decreases in aggressive behaviour. Teachers and education authorities are recommended to include more moral values and provide comfortable and lively atmosphere in school as a way to reduce the tendency of students to develop aggressive behaviour. 10 30 2019 1075 1079 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2814.1081219 https://www.ijitee.org/portfolio-item/L28141081219/ PG scholar, EEE department, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, Telangana, India PVSG Prasad* Syed Sarfaraz Nawaz Associate Professor, EEE Department, Gokaraju Rangaraju Institute of Engineering &Technology, Hyderabad, India Mallela Uday Kiran PG scholar, EEE department, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, Telangana, India An RSC control of a DFIG connected to grid using controller objective dSPACE ds1104 is presented. A stator flux control vector scheme is exercised to control the both active & reactive powers produced at stator terminals by DFIG. Rotor excitation is given by using an appropriate SPWM pulse fed Inverter at rotor side achieved by changing modulation index & modulation frequency. For MI & MF SPWM pulses, dSPACE dS1104 is employed for real time control & generation. Updation of corresponding parameters in display are observed through Control Desk. 10 30 2019 3315 3320 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2819.1081219 https://www.ijitee.org/portfolio-item/L28191081219/ Dept. of Computer Science & Engineering, Madhav Institute of Technology & Science, Gwalior (M.P.), India. Monika Dandotiya* Mahesh Parmar Dept. of Computer Science & Engineering, Madhav Institute of Technology & Science, Gwalior (M.P.), India. Weighted Apriori algorithm practices the itemsets that are frequently generated in particular databases for statistical analysis. Traditional association rule mining only deals with the items that are actually present in the transaction and disregards the items that customers hesitated to purchase such items can considered as almost sold items that contains valuable information which can be used in enhancing the decision making capabilities. This paper focuses on the weighted apriory with genetic algorithm because with the help of weighted apriory there are some hesitation patterns are define on these rules the genetic algorithm is applied which gives the optimal results(Newly generated valid rules). This exertion portrays that if the cause of yielding the things is known and settled, we can without much of a extend expel this hesitation status of a client and thinking about recently developed rules as the intriguing ones for increase offers of the entity or item. 10 30 2019 3321 3327 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2825.1081219 https://www.ijitee.org/portfolio-item/L28251081219/ Electrical Engineering, National Institute of Technology Jamshedpur, Jamshedpur, India. Kaushik Paul* Niranjan Kumar Electrical Engineering, National Institute of Technology Jamshedpur, Jharkhand, India. Poulami Dalapati Computer Science and Engineering, BIT Sindri, Dhanbad, India. The power system congestion is treated as a vital issue in the restructured topology of the power system. The analysis of appropriate technique to control congestion is of preeminent interest. This paper proposes a congestion controlling scheme with the optimal placement and sizing of the Distributed Generation (DG) so as to ensure an optimal power flow in the power system network. A multi-objective framework is formulated for the proposed approach considering the operating cost, Voltage Stability Index (VSI) and the system losses. A hybrid optimization technique is proposed involving Improved Genetic Algorithm (IGA) and Bat Algorithm (BA) to optimize the objectives proposed in this research. The efficiency of the proposed methodology is verified using IEEE 33 and 69 bus systems. A comparative analysis is established between the outcomes obtained with hybrid IGA-BA and Particle Swarm Optimization (PSO) technique. The output obtained clarifies that by combining IGA and BA, greater efficiency is achieved compared to the PSO algorithm output. 10 30 2019 3329 3336 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2828.1081219 https://www.ijitee.org/portfolio-item/L28281081219/ Faculty at School of Rural Management, Kalinga Institute of Industrial Technology, Deemed to be University, Bhubaneswar, Odisha, India. Prof. Ganesha H.S.* Prof. L.K. Vaswani was previously Director, KSRM, KIIT Deemed to be University, Bhubaneswar, Odisha, India. Prof. Rabi N. Subudhi Senior Professor at School of Management, Kalinga Institute of Industrial Technology, Deemed to be University, Bhubaneswar, Odisha, India. Data Envelopment Analysis (DEA), an efficiency measurement and benchmarking technique originated in 1978 with the publication of the seminal paper of Charnes et al (1978) has evolved into an important technique over the years. This paper attempts to critically review the various methodological aspects of DEA for application in any domain in the public or private sectors. In specific it reviews some of the important literature available on a) variable selection methods in DEA, b) Sensitivity analysis and ranking of DMUs and c) some of the applications it has been put into over the last four decades. The focus is on specific practical aspects of applying DEA in any particular field. 10 30 2019 3337 3341 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2829.1081219 https://www.ijitee.org/portfolio-item/L28291081219/ Department of Advanced Manufacturing Systems (AMS), VNR Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering &Technology, (Hyderabad), India. A. Madhusudhan Goud* Dr. V. Sivaramakrishna Assistant Professor, Department of Mechanical, VNR Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering &Technology, (Hyderabad), India. Friction stir welding is a solid state welding which uses non consumable welding tool. It is an automatic process which generally performs on the vertical milling machine. In this type of welding, the relative motion between the tools and work piece creates heat which uses the region of work piece to be welded get softened and to joint the two work pieces. Friction stir welding process is more reliable for the materials which are generally non heat treatable. In this present investigation it will observe that how the rotational speeds of the tool and different shapes of the tool pins effects the mechanical properties of the aluminium alloy 6082. For this purpose three tools with different profiles, i.e triangular, cylindrical and square was designed and fabricated. At three different rotational speeds of 560 rpm, 900 rpm, 1800 rpm work pieces are joined using vertical milling machine. Specimens are prepared and tested for mechanical properties, tensile, impact, and hardness tests are performed and to detect the defects and voids x-ray test performed on the weld joints. And it was observed that highest tensile strength was presented when the square pin tool used at 560 rpm. The rotational speed increased mechanical properties are reducing significantly. 10 30 2019 3342 3345 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2832.1081219 https://www.ijitee.org/portfolio-item/L28321081219/ CSE Dept. Nirma Institute of Technology, Ahmedabad, Gujarat, India. Bhavin D. Shah* D. B. Choksi PG Dept. of Comp.Sci., Sardar Patel University, Vallabh Vidyanagar, Gujarat, India. With an array of innovative technologies, the 21st century has struck at our door. Many sectors are embracing the implementation of a revolutionary technology called Big Data Analytics. The education sector has lately jumped on the bandwagon. With the new evolving education technology capable of generating Big Data, stakeholders have firmly started adopting the use of Big Data Analytics in the education sector. This paper proposes a model for Big Data Analytics depicting various required components, for the education sector. Various sources of education data provide the necessary input to the model and model produces useful results in the form of the output using various tools and technologies of Big Data ecosystem. The outputs are going to be consumed by various stakeholders of the education sector. The paper also describes the concept of Big Data, new technologies influencing the education sector and explains why Big Data Analytics is going to be core technology in analyzing the data and taking the world of education to new heights. We have also listed beneficiaries and benefits. 10 30 2019 1785 1789 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2834.1081219 https://www.ijitee.org/portfolio-item/L28341081219/ Assistant Professor, Department of Computer Science, Cauverycollege for Women, Trichy,Tamilnadu Ms.A. Anandhavalli* Dr A. Bhuvaneswari Cauvery College for Women (under the affiliation of Bharathidasan University), Trichy, Tamil Nadu, India. Nowadays Wireless Sensor Networks are using Internet-of-Thing (IoT) technology-based nodes because of the wide usance and cost effectiveness. Many of the Wireless sensor nodes are battery powered devices with limited computational and communication resources. The algorithm of the conventional wireless sensor networks are designed for small closed group network communications with better power management and reasonable security strategies. When using IoT based Wireless sensor networks, the nodes are used to communicate with the internet, where there is a need for more secured algorithm. The internet protocols are having powerful security authentication systems those require more computational resources, thus they can drain a battery operated little wireless sensor node. This work is indented to introduce a legacy power-security balanced algorithm to use in the IoT based Wireless Sensor Network environments. Proxy Mobile Internet Protocol version 6 (PMIPv6) is selected as the base protocol in which the proposed security authentication mechanism is used instead of inbuilt Diffie-Hellman authentication scheme. A customized Media Access Control (MAC) address-based session key initialization procedure along with seed based random number session key update mechanism is proposed and verified in this work. 10 30 2019 1790 1799 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2837.1081219 https://www.ijitee.org/portfolio-item/L28371081219/ Department of Computer Science & Engineering, Haldia Institute of Technology, Haldia, West Bengal, India. Jayeeta Majumder* Chittaranjan Pradhan Department of Computer Science & Engineering, KIIT University, Bhubaneswar, Odissa, India. The Digital Market Is Rapidly Growing Day By Day. So, Data Hiding Is Going To Increase Its Importance. Information Can Be Hidden In Different Embedding Mediums, Known As Carriers By Using Steganography Techniques. The Carriers Are Different Multimedia Medium Such As Images, Audio Files, Video Files, And Text Files .There Are Several Techniques Present To Achieve Data Hiding Like Least Significant Bit Insertion Method And Transform Domain Technique. The Data Hidden Capacity Inside The Cover Image Totally Depends On The Properties Of The Image Like Number Of Noisy Pixels. Data Compression Provides To Hide Large Amount Of Secret Data To Increase The Capacity And The Image Steganography Based On Any Neural Network Provides That The Size And Quality Of The Stego-Image Remains Unaltered After Data Embedding. In This Paper We Propose A New Method Combined With Data Compression Along With Data Embedding Technique And After Embedding To Maintain The Quality The Communication Channel Use The Neural Network. The Compression Technique Increase The Data Hiding Capacity And The Use Of Neural Network Maintain The Flow Of Data Processing Signal 10 30 2019 1800 1804 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2839.1081219 https://www.ijitee.org/portfolio-item/L28391081219/ CSE/IT Department, Madhav Institute Of Technology & Science, Gwalior, India. Anjali Agrawal* Mahesh Parmar CSE/IT Department, Madhav Institute Of Technology & Science, Gwalior, India, Fraud detection is an enduring topic that pose a threat to the information security systems. Data mining helps detect and rapidly identify fraud and take instant action to reduce losses. It analysis the various forms of attacks through classifications algorithms of data mining. In this dissertation the data set of NSL-KDD is examined in identifying anomalies in network traffic patterns and the importance of various classification techniques is studied. Firstly the data is classify in two classes Normal and Anomaly and after then the anomaly data categories in various Attack forms i.e Probe, U2R, R2L, DOS to detect the fraud. The analysis performed through feature selection and classification techniques present in WEKA tool of data mining. The features are extracted through feature selection (CfsSubsetEval, InfoGain, FilterSubsetEval and FilterAttributeEval) methods from 41 attributes to 11 attributes using CfsSubsetEval with best first Search and after extraction the features the classification algorithms(Naïve Bayes, RC, RT, RF and DT) applied for finding Accuracy. The best Result in terms of Accuracy is finding through the voting method using Random Committee and Random Forest is 99.94%. 10 30 2019 1805 1811 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2840.1081219 https://www.ijitee.org/portfolio-item/l39861081219/ Assistant Professor, School of Civil Engineering, , REVA University, Rukmini Knowledge Park Kattigenahalli, Yelankha. Bengaluru, India. Sanjay Raj A* Dr.S.B. Annadini H.O.D, Civil- School of Engineering, Presidency University, Bengaluru, India Self- Compacting Concrete (SCC) is a sort of Concrete that possesses high flowing, passing ability, which can be placed and compacted due to its own weight without any peripheral compaction effort, at the same time it is cohesive enough to be handled without any segregation or bleeding distinctiveness. This Research Study presents an experimental exploration Flexural behavior of Internal cured Self Compacting Concrete (ICSCC) with fine aggregate substitution by Crushed Rock Fines (CRF) at 0%& 30%, with silica fume as supplementary for cementitious material. Mix Proportions for ICSCC, controlled specimens SCC and Normal Conventional Concrete (NCC) M40 grade is arrived. For each concrete mixes 150mm X 150mm x150mm cubes and 100 X230 X 1500mm beams were casted and exposed to internal curing at ambient temperatures for 7 and 28 days. The results arrived for ICSCC mixes were paralleled with controlled specimens of SCC and NCC. Appropriate materials were selected to have a better performance to ensure efficient internal curing in the concrete mass. The Flow Properties of SCC, ICSCC mixes have been performed as per EFNARC Stds and results of flow properties were within limits. Analysis made from the experimental exploration is accomplished that the Flexural characteristics for ICSCC mixes curried at ambient temperature found acceptable. 10 30 2019 1812 1816 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2844.1081219 https://www.ijitee.org/portfolio-item/L28441081219/ Assistant Professor/Department of Computer Application, B.S.Abdur Rahman Crescent Institute of Science and Technology, Chennai, T. Pandiyavathi* T. Manochandar Assistant Professor/ Department of Electronics and Communication Engineering, CK College of Engineering and Technology, Cuddalore. The paper presents measuring various code smells by finding critical code smells and thereby concentration is increased in those parts through Structural Modeling for arranging those code smells. Arranging the code smells in the way that they will not produce a new smell on their detection and removal is very necessary. Structural modeling helps in clarifying Interrelationship among these code smells. The code smells that contains high driving effects are ordered as optimized code which resulted in the increase in the overall code maintenance of the software code which will be used afterwards for achieving the concept of re-usability. In addition to this we have added a technique for restructuring technology for the purpose to achieve high accuracy. It involves more objectives related to the performance and the code smells are implemented with the concept called as pairwise analysis based on the priority method. Pairwise analysis based on the weights attained by the bad smells provides a better optimized results since more problematic areas are neglected here. This work gives optimized results for the process of overall code maintainability by applying restructuring before the refactoring process with Fuzzy technique and it is followed by finding the code smells which results in high ripple effects and then removing them. Still more research ideologies are needed for removing the bad smells in the code. 10 30 2019 1817 1820 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2846.1081219 https://www.ijitee.org/portfolio-item/L28461081219/ Assistant Professor Department of English, Amrita School of Arts and Sciences, Amritapuri Aswathy Das K V* Auteur theory which arose in France in the late 1940s considers the director of a film as a gifted creative individual who leaves his imprint, if not all, in most of his films. With his distinguishing film-making style and personal leitmotifs, the creator’s signature sweeps through his films and the director triumphs in articulating his personality through them. In Malayalam cinema, where auteurs are finite, the director Shyamaprasad has managed to be distinguished as one, with his recurring style and themes. A mise-en-scene analysis and content analysis of his films reveals that he can be appraised as a successful auteur based on the consistency with which the director expresses a uniquely personal point of view in his films through the use of recurring themes, characters and situations. His films transcend the individual and become universal with the distinctive imprint of the unconventional director. 10 30 2019 1821 1825 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2849.1081219 https://www.ijitee.org/portfolio-item/L28491081219/ Assistant professor, PhD, Department of Metallurgy, Tashkent State Technical University, Tashkent, Uzbekistan. Matkarimov Sokhibjon Turdaliyevich* Nosirkhudjayev Sardor Qodirdjon ugli Senior teacher Department of Metallurgy, Tashkent state technical university, Ochildiyev Qakhramon Toshtemirovich Assistant Department of Metallurgy, Tashkent state technical university, Nuraliyev Oybek Ulugbek ugli Assistant Department of Metallurgy, Tashkent state technical university, University Street 2, Tashkent, Uzbekistan, Karimdjonov Begzod Rakhmatjonovich Senior teachers, Department of Metallurgy, Tashkent State Technical University, Tashkent, Uzbekistan. In article questions of physical and chemical transformations of starting materials at their heating in metallurgical furnaces are considered. It first of all moisture evaporation, dissociation of the difficult connections, oxidizing and recovery processes, formation of fusible eutectics. An attention to interaction of oxides and sulfides with formation of the new connections having smaller melting point than initial components. It is shown that these connections are the beginning of formation of melts and actually define thermodynamics and kinetics of all process. Transition of firm components of fusion mixture to flux has a great influence on technological indicators of smelting of metal. Considering it, the research on establishment was conducted began courses of these of reaction and a possibility of determination of this criterion without direct the made experiments. 10 30 2019 1826 1828 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2856.1081219 https://www.ijitee.org/portfolio-item/L28561081219/ ResearchArea-Speech Processing M. Mamatha* T.Bhaskar Reddy Membership-ICITE,GATE Qualified with good score Professor in SKU,Anatantapur,AP. Research Area- Computer Science In this paper, we propose a Content Based Voice Retrieval(CBVR) is used to search a specific audio files from a large data base. Using Deep learning features are learned automatically in the training phase. Convolution Neural Network is used in this research for CBVR. On this paper, we recommend a novel technique to key word search(KWS) in low-resource languages, which presents an replacement method for retrieving the phrases of curiosity, in particular for the out of vocabulary (OOV) ones. Our procedure contains the approaches of question-by using-illustration retrieval tasks into KWS and conducts the hunt by the use of the subsequence dynamic time warping (sDTW) algorithm. For this, text queries are modeled as sequences of function vectors and used as templates within the search. A Convolution neural network-headquartered model is informed to gain knowledge of a frame-degree distance metric to be used in sDTW and the right question model frame representations for this realized distance. This new procedure can be used as a substitute to traditional LVCSR-situated KWS programs, or in combination with them, to attain the intention of filling the gap between OOV and in-vocabulary (IV) retrieval performances. 10 30 2019 1829 1831 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2857.1081219 https://www.ijitee.org/portfolio-item/l39871081219/ Department of Civil Engineering, Institute of Aeronautical Engineering,,Dundigal, Hyderabad V. Suryaprakash Reddy* N. Venkat Rao Department of Civil Engineering, Institute of Aeronautical Engineering,(autonomus), Dundigal, Hyderabad Dr. Ram Mohan Rao papolu Department of Civil Engineering, Institute of Aeronautical Engineering (autonomus), Dundigal,Hyderabad. Concrete is one of the most suitable materials in the world which are used for construction. It becomes more versatile because of his suitability in almost all situations. Reinforced structures are subject to corrosion by various means. Carbonation is one of these means that causes corrosion of reinforced concrete structures. The service life of the structures has been reduced due to the deterioration of the structures because of the corrosion of the reinforced concrete due to carbonation. This paper focuses on the effect of carbonation on the mechanical properties of concrete composed of mineral admixtures, such as ground granulated blast furnace slag and silica fume, by partial replacement of the cement. In this experiment, silica fume replaced cement in 5%, 10%, 15% and ground granulated blast furnace slag replaced the cement in 10%, 20%, 30%. Samples such as cubes, cylinders and prisms were casted and cured. Certain number of these specimens were also placed in carbonation chamber and tested for compressive strength, tensile strength and flexural strength. Normal concrete samples are also tested and the results are compared. 10 30 2019 1832 1835 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2858.1081219 https://www.ijitee.org/portfolio-item/L28581081219/ Electronics and Communication Department, Punjabi University, Patiala, India. Impreet Kaur* Dr. Rajbir Kaur Electronics and Communication Department, Punjabi University, Patiala, India. Dr. Charanjit Singh Electronics and Communication Department, Punjabi University, Patiala, India. This paper analyzes the Digital Pre-Distortion linearization technique using a low-precision Analog-to-Digital Converter (ADC). The output of a power amplifier exhibits various spurious emissions, spectral regrowth and intermodulation distortion (IMD) products due to its non-linear behavior. So, to preserve the performance of power amplifier, linearization becomes mandatory. Digital Pre-Distortion does the training on the output of the power amplifier (distorted signal) and generates exactly the inverse characteristics to that of power amplifier. Their cascading results into a linear response. In practical systems, the output of power amplifier has to go through an analog-to-digital converter for digital processing and a low-resolution ADC results in the degradation of the signal and affects the DPD performance. But a low-resolution ADC not only reduces the computational complexity in the digital processing but it also provides lower power consumption and costs less because less hardware would be required. In this work, the aim is to find the precision up to which ADC resolution can be reduced without affecting the DPD performance in a significant manner. This paper evaluates the performance of two DPD systems - Full-band DPD and Sub-band DPD and from simulations, it is observed that for a full-band DPD, 1-bit ADC can be reliably used and for a sub-band DPD, single bit to 4-bits ADC can be used. 10 30 2019 1836 1840 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2859.1081219 https://www.ijitee.org/portfolio-item/L28591081219/ Department of EEE, CMR Institute of Technology, Bengaluru, India V. Agalya* S. Sumathi Department of EEE, Mahendra Engineering College, Tamil Nadu, India. According to world health organization (WHO) the heart strokes and cardiovascular diseases death rate is increases every year. Heart signal is one of the most predominant physiological signals of our body, including a large number of physiological and pathological information that can reflect the cardiovascular status. This work aims to develop a heart signal quality assessment method by three common case studies of deep breath, speaking and climbing up &down. In data collection, a total features were extracted from domain statistics. Here statistical analysis is employed for reducing dimension of a particular features. For classification of electrocardiogram (ECG) signals cardiac arrhythmias using deep learning model is used by Cubic Wavelet Transform. These parameters are used as input to these classifier with types of ECG signals. A SVM with radial basis kernel function was trained for final signal quality classification. The best effect was obtained on distinguishing resting from climbing up& down and the result showed that the classification performance was significantly improved after feature selection. These results indicate that the proposed method is effective for identifying different cases. The hardware testing was implemented and tested for the same case studies. 10 30 2019 1841 1843 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2861.1081219 https://www.ijitee.org/portfolio-item/L28611081219/ Assistant Professor, Department of Electronics and Instrumentation Engineering, Dr.Mahalingam college of Engineering and Technology, Pollachi. M. Deeparani* P.E Kamalakkannan Assistant Professor , Department of Electronics and Instrumentation Engineering, Dr.Mahalingam college of Engineering and Technology, Pollachi. R. Baby Janagam Assistant Professor, Department of Electronics and Instrumentation Engineering, Dr.Mahalingam college of Engineering and Technology, Pollachi. Dr.M. Kalamani Assistant Professor, Department of Electronics and communication Engineering , Bannari Amman Institute of Technology, Sathyamengalam ,Erode. IoT is an emerging and main technology which connects everyday objects and physical devices .The Internet of Things (IoT) is a system with physical devices and embedded systems, with sensors, electronics, software and network connectivity, which are used to remotely monitored and controlled various events. IoT device application covers home automation, environment monitoring ,transportation, Industrial applications, Energy management , Medicine and Health care. IoT in healthcare is used for the purpose of data collection ,analysis ,research, monitoring 10 30 2019 1844 1848 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2862.1081219 https://www.ijitee.org/portfolio-item/L28621081219/ Assistant Professor, Department of CSE M.Kumarasamy college of Engineering K. Deepak* Dr.S. Thilagamani Professor, Department of CSE M.Kumarasamy college of Engineering Image processing is the technique used for analyzing the images by converting them into a digital form so that analysis on the images can be done for some purpose. Forensic department uses the images for identifying the suspects based on their biometric information. The biometric information can be anything such as, fingerprints, iris or may be heart beat. Fingerprint is one of the largely and widely used biometric in major areas. The fingerprint information collected at the crime scene is useful for identifying the victim who have been committed the crime. In case of the rolled or plain fingerprint, it is easy for the analyst to find out the one who is found guilty. But it is not the case in latent. The latent fingerprints are noisy, blurred and smudgy. For which the technique known as Descriptor Based Hough Transform is used. By using the minutiae information the fingerprint can be matched with the rolled or plain fingerprints and identified after fingerprints are segmented from the background. 10 30 2019 1849 1852 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2863.1081219 https://www.ijitee.org/portfolio-item/L28631081219/ Professor,Civil Engineering Department, Dr D Y Patil Institute of Technology, Pimpri, Pune- 411018, India. Dr. A. S. Kote* D. V. Wadkar Research Scholar, Civil Engineering Department, Dr D Y Patil Institute of Technology, Pimpri, Pune- 411018, India. And Asst Prof AISSMS COE, Pune Coagulation is anecessary process used mainly to reduce turbidity and natural organic matter in water treatment. The dosage of coagulant required is conventionally determined by carrying out jar tests which consume time and chemicals.In India, coagulant dose in a WTP remains constant during certain periods due to delay in jar testing, which may lead to under-dosing or over-dosing of coagulant. This research work is focused on applying artificial neural network (ANN) approach to predict coagulant dose in a WTP. Forty-eight months daily water testing data concerning inlet & outlet water turbidity and coagulant dose were obtained from the plant laboratory for ANN modelling. The appropriate architecture of feed forward neural network (FFNN) coagulant models were established with several steps of training and testing by applying various training algorithms vizLevenberg-Marquardt (LM) and Bayesian regularization (BR), resilient back propagation (RBP), one step secant(OSS),variants of conjugate gradient(CG) and modifications of gradient descent (GD) with evaluating coefficient of correlation (R) & mean square error (MSE). Further, best performed LM and BR training algorithm were used for development of four ANN models of FFNN for prediction of coagulant dose at WTP. FFNN coagulant model with BR training algorithm provided excellent estimates with network architecture (2-50-1) for coagulant dose with maximum value of R= 0.943 (training) and R = 0.945 (testing). Thus, ANN provided an effective diagnosing tool to understand the non-linear behavior of the coagulation process, and can be used as a valuable performance assessment tool for plant operators and decision makers. 10 30 2019 1853 1856 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2864.1081219 https://www.ijitee.org/portfolio-item/L28641081219/ Department of Electronics and Communication Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India. N. Vinodhkumar C. Raja Professor, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India, Satish Addanki* Department of Electronics and Communication Engineering, Sasi Institute of Technology and Engineering, Aerodrome Road, Tadepalligudem – 534101, AP, India, The bulk planar junctionless transistor (BPJLT) is a potential candidate for future CMOS technologies due to its CMOS compatibility and scalability. In this paper, the impact of silicon film thickness and channel doping on single-event upset (SEU) radiation performance of BPJLT based SRAMs is studied using TCAD simulations. The simulation results show that BPJLT devices having higher channel doping and smaller film thickness provides the better SEU performance. 10 30 2019 1857 1861 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2865.1081219 https://www.ijitee.org/portfolio-item/L28651081219/ Department of Biochemistry, Government Arts College (Autonomous), Kumbakonam – 612 002, Tamilnadu, India. Mrs. Jeyalakshmi* Suresh Kumar Dr. Natesan Manoharan Department of Marine Science, Bharathidasan University, Tiruchirappalli – 620 024, Tamilnadu, India. Dr. Rajangam Udayakumar Department of Biochemistry, Government Arts College (Autonomous), Kumbakonam – 612 002, Tamilnadu, India. Water Quality Index (WQI) is a widely used technique in defining the quality of groundwater and finding whether it is advisable for human use. It is utmost necessary steps to understand the physical and chemical parameters defining the water quality for particular period and location using WQI calculation as it gives information in a single value. WQI has been calculated in twenty ground water samples collected from selected sampling stations at Madurai in the pre-monsoon, monsoon and post monsoon seasons. The water quality index values suggested that almost all the ground water samples were above 150, which indicated that they were unfit for drinking and one sample from Vilangudi had WQI less than 100 which indicated the water as poor category for drinking but could be used for irrigation purposes. The groundwater quality is also defined to be little better during post monsoon season in all the samples than during pre-monsoon and monsoon season. 10 30 2019 1862 1866 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2866.1081219 https://www.ijitee.org/portfolio-item/L28661081219/ Department of Production Engineering, Veer Surendra Sai University of Technology, Burla. N. K. Kund* Vigorous experiments are conducted to investigate on effects of Reynolds number on heat dispersal over flat plate concerning constant thermal value 6 W/cm2. This paper presents the experimental studies on cooling behavior with water jet impingement. Several influencing parameters pertaining to cooling behaviors of striking jets got recognized for investigating impacts over heat transfer characteristics. The parameters taken into account are nozzle diameter (3, 4, 5 and 6 mm), jet Reynolds number (800, 1600, 2400 and 3200), nozzle to plate spacing (20, 25, 30 and 35 mm) and jet inclination (30⁰, 45⁰, 60⁰, 75⁰ and 90⁰). Additionally, the studies are limited to a constant heat flux situation. The chary interpretations of results tell that performance remains boosted with regard to these key parameters. However, with the current experimental conditions, Reynolds number of 2400 offers adequate thermal characteristics and is the optimum. 10 30 2019 1867 1870 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2868.1081219 https://www.ijitee.org/portfolio-item/L28681081219/ Department of Production Engineering, Veer Surendra Sai University of Technology, Burla. N. K. Kund* Rigorous experiments stay performed for examining influences of nozzle size on heat dispersal over flat plate concerning constant thermal value 6 W/cm2. This paper presents the experimental studies on cooling behavior with water jet impingement. Several influencing parameters pertaining to cooling behaviors of striking jets got recognized for investigating impacts over heat transfer characteristics. The parameters taken into account are nozzle diameter (3, 4, 5 and 6 mm), Reynolds number (800, 1600, 2400 and 3200), nozzle to plate spacing (20, 25, 30 and 35 mm) and jet inclination (30⁰, 45⁰, 60⁰, 75⁰ and 90⁰). Additionally, the studies are limited to a constant heat flux situation. The chary interpretations of results tell that performance remains boosted with regard to these key parameters. Nevertheless, for present experimental settings, nozzle diameter of 5 mm provides sufficient thermal features and is the finest one. 10 30 2019 1871 1874 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2869.1081219 https://www.ijitee.org/portfolio-item/L28691081219/ Department Of Mechanical Engineering, Karunya Institute Of Technology And Science, Coimbatore, Tamilnadu Gadudasu Babu Rao* K Balasubramanian Department Of Mechanical Engineering, Karunya Institute Of Technology And Science, Coimbatore, Tamilnadu Mona Sahu Department Of Mechanical Engineering, Karunya Institute Of Technology And Science, Coimbatore, Tamilnadu Praveen Kumar Bannaravuri Department Of Mechanical Engineering, Karunya Institute Of Technology And Science, Coimbatore, Tamilnadu Anil Kumar Birru Department Of Mechanical Engineering, National Institute Of Technology Manipur, Imphal Aluminium composites were used widely due to merits like high strength to weight ratio, electrical and thermal conductivity. In this paper, the influence of the Laser Surface Melting on exterior surface of Al-4.5% Cu alloy metal matrix composite reinforced with 2 and 4 wt.% of Bamboo Leaf Ash particles produced by stir casting. The composite’s surface was melted using a laser machine. The microstructure and the hardness of as-cast and laser melted surface of composites were studied. The results of the composites have been compared before and after laser treatment. The grain size on surface of composites was reduced after laser treatment and also observed that porosity was minimized. The hardness of surface composites was enhanced desirably after laser treatment. Thus, re-melting the surface by laser can be suitably useful to strengthen the surface properties of the Aluminium composites. 10 30 2019 1875 1879 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2871.1081219 https://www.ijitee.org/portfolio-item/L28711081219/ Research Scholar, Mittal School of Business, Lovely Professional University, Phagwara, Punjab, India. Manav Aggarwal* Dr. Babli Dhiman Associate Professor, Mittal School of Business, Lovely Professional University, Phagwara, Punjab, India. Financial Transgression is a problem which has surrounded the Corporate World. Violation of regulatory provisions and gaps in financial reporting practices have led to occurrence of frauds. Developing as well as Developed Nations, both are victims of this problem. This paper is an attempt to find the various reasons of financial transgression in India and evaluation of subsequent changes made thereafter by regulatory bodies in the statutes so that no such cases occur in future. Secondary sources of information were used to cover the cases of financial transgression in India for the period 1991 i.e. beginning of LPG regime till 2018 for the purpose of the paper which leads to changes in regulatory framework and reporting practices. The timeline of the cases in India is strategically hinting towards the weak regulatory system of India along with late changes made in the relevant regulatory framework. Whenever a new case of financial transgression has been reported, it reflected the loopholes in the system. So it is high time for India to learn a hard lesson for the growth of the economy. 10 30 2019 1880 1884 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2873.1081219 https://www.ijitee.org/portfolio-item/L28731081219/ Research Scholar, DYPIoT, Pimpri, Pune Mr. A. K. Gaikwad* Dr. S. B. Thakare Professor and Guide,DYPIoT, Pimpri, Pune Ready Mix Concrete (RMC) batch plant manager dispatches RMC trucks to different construction sites as per the demands and availability of RMC trucks at plant. To have maximum production and profit of the plant, generally more and more number of trucks are send to the sites with the thumb rules or logic of the batch plant manager, through his experience and depending on the capacity of the plant (CP). To avoid discontinuous (interrupted) RMC casting he requires sufficient number of RMC trucks at plant as well as at sites. This logic may be inefficient and might present the loss of profits. Also this may demands more number of trucks. In this research attempt is made to minimize the number of trucks along with reduction in waiting time of trucks by applying Genetic Algorithm (GA) optimization and simulation of operations through App. The flexibility has been given to the dispatching manager to make changes in the data parameters if required. A user-friendly App is developed in MATLAB environment to help the plant manager to decide dispatching schedule with less number of RMC trucks, compared with present industry logic. 10 30 2019 1885 1887 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2874.1081219 https://www.ijitee.org/portfolio-item/L28741081219/ Department of Mechanical Engineering Technology, Faculty of Mechanical and Manufacturing Engineering Technology, Universiti Teknikal Malaysia Melaka, Malaysia. Ezzatul Farhain Azmi* Nor Hafizah Hussin Department of Electrical Engineering Technology, Faculty of Electrical and Electronic Engineering Technology, Universiti Teknikal Malaysia Melaka, Malaysia. Sharifah Sakinah Syed Ahmad Department of Intelligent Computing and Analytics, Faculty of Information & Communication Technology, Universiti Teknologi Malaysia, Malaysia. Rahaini Mohd Said Department of Electronic Engineering Technology, Faculty of Electrical and Electronic Engineering Technology, Universiti Teknikal Malaysia Melaka, Malaysia. Adam Samsudin Department of Electrical Engineering Technology, Faculty of Electrical and Electronic Engineering Technology, Universiti Teknikal Malaysia Melaka, Malaysia. The relation between tropical rainforest to the climate variability is very important. This research aims to determine the relationship between aboveground biomass which prefer tree in the tropical rainforest and surrounding temperature. Diameter at breast height (DBH) of ten tree species and surrounding temperature collected data were taken to measure the correlation between the two variables by using statistical test. Furthermore, forest biomass estimation is also important towards the assessment of the productivity, structure and forest condition. The analysis in this research shows that simple linear regression model can be used to predict the future value of DBH for each species. The findings may help the reduction of greenhouse gas emissions with proper conservation and sustainable management. 10 30 2019 1888 1891 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2875.1081219 https://www.ijitee.org/portfolio-item/L28751081219/ Department of Mechanical Engineering, Acropolis Institute of Technology and Research, Indore, India. Dr. Manoj Modi* Ashish Khare Department of Mechanical Engineering, Acropolis Institute of Technology and Research, Indore, India. V. Patil Department of Mechanical Engineering, Acropolis Institute of Technology and Research, Indore, India. Nowadays, the requirements and dependency of people on vehicles are increasing day by day which lead to high emission of flue gases and it results in the severe environment pollution. Many researchers have done research to improve the efficiency of IC engine. The main reason for less efficiency is the incomplete combustion of fuel in the IC engine. To improve the efficiency, we carried out the experiments with two stroke petrol engine by supplying preheated pure oxygen instead of air. The oxygen is preheated by the exhaust heat recovery system using heat pipe. In this research work, engine performance is analyzed in two ways primarily by using the pure oxygen and secondly by using the pre-heated pure oxygen through heat pipe. The output response in this work is brake thermal efficiency without heat pipe (without inlet-air-preheating) and with heat pipe (with inlet air preheating). The output response is calculated with the use of numerical formula. Exhaust gases energy is used to preheat the inlet pure oxygen supplied to petrol engine with the help of heat pipe. A heat pipe without bend is used here in which working fluid is water. Experimental results show that there is an increase in brake thermal efficiency with use of heat pipe. 10 30 2019 1892 1897 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2877.1081219 https://www.ijitee.org/portfolio-item/L28771081219/ Assistant Professor Department Of Business Administration Government Arts College Tiruchy Mrs. Sujatha Jeyaraman* Dr.I. Narsis M.Com, M.Phil, Mba, M.A, M.Ed, Pgdca, Ph.D Assistant Professor & Research Advisor Pg & Research Department Of Commerce, Government Arts College, Tiruchy Background: In a competitive environment all commercial banks retail services either Public sector banks or Private sector banks are required to offer almost same services. They want to attract a new customer and retain the old customer by the way of differentiate themselves in providing and performing the well know banking services to its customer. This research study has measuring the effectiveness of banking six service quality constructs among public sector banks. Objective: Based on the above background of the study, the research paper have an objective to measure the effectiveness of six banking service quality constructs among public sector banks. Methodology: This study was purposive to measure the effectiveness of banking service quality among public sector banks in urban area of Tiruchiraappalli district. The researcher has purposively select 292 bank customer as sample respondent of Public sector bank located in the urban area of Tiruchirappalli District. Results and Discussion: In Public sector bank, the tangible indicator namely “Comfortable lobby area and adequate parking space” and the tangible indicator namely “Availability large number of branches with internet banking facility” were influence the customer. 10 30 2019 1898 1904 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2880.1081219 https://www.ijitee.org/portfolio-item/L28801081219/ Civil Engineering Department, Jaypee University of Information Technology, Solan, India. Aditya Kumar Tiwary* Prof. Ashok Kumar Gupta Civil Engineering Department, Jaypee University of Information Technology, Solan, India. Concrete filled steel tube (CFST) columns are composite member mainly consists of concrete infilled in steel tube. In current construction industry, CFST columns are preferred to provide lateral resistance in both unbraced and braced building structures. In this paper, finite element studies were carried out on concrete filled steel tube columns under an axial composite loading by using ABAQUS/CAE. The inelastic behavior of concrete and steel tube was defined to the model by using concrete damaged plasticity model (CDP) and Johnson-cook model respectively which is available in ABAQUS/CAE. The diameters of columns were considered as 100 mm, 125 mm and 150 mm, whereas the length of columns was kept constant, i.e. 600 mm for all models. The thickness of steel tube was considered as 4 mm and 5 mm for all diameters of columns. The concrete infilled of grade M30 was used in this study. The simulations were carried out against composite loading to study the response of CFST columns in terms of load carrying capacity, displacement and von-mises stresses. The mesh conversion study was also carried out to obtain the best size of mesh corresponding to the experimental load carrying capacity of CFST columns. 10 30 2019 688 692 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2881.1081219 https://www.ijitee.org/portfolio-item/L28811081219/ Department of Computer Applications, Bharathiar University, Coimbatore, India. P. Mousi* J. Ramsingh Department of Computer Applications, Bharathiar University, Coimbatore, India. V. Bhuvaneswari Department of Computer Applications, Bharathiar University, Coimbatore, India. The presence of wildlife in each forest represents the prolific eco-system, wealth and fertility of the region. The literatures on the species distribution consider the global and climatic factors, with special attention to local condition, where the species exists. This study analyzes various factors (Environmental, Social, Economic, Institutional) associated with the existence of the species (Pavo Cristatus) within the forest range of Coimbatore region in two different years (2005 and 2013). A regional level perspective is carried out by investigating the factors associated with the distribution of Pavo Cristatus and estimates the impacts on the species found during analysis. The proposed analysis makes use of Exploratory Spatial Data Analysis (ESDA) to visualize and analyze the local spatial distribution of the species. The results reveal that no exclusive single aspect, but a collection of common factors regulates the species distribution. Further the analysis indicates that the augmentation of species distribution in an area is a healthy sign of the forest regions. 10 30 2019 1905 1912 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2882.1081219 https://www.ijitee.org/portfolio-item/L28821081219/ Architecture Department, Vocational School, Universitas Diponegoro, Semarang, 50275, Indonesia Sunarso Sugeng* Sulaiman Architecture Department, Vocational School, Universitas Diponegoro, Semarang, 50275, Indonesia Mohd Ridwan Architecture Department, Vocational School, Universitas Diponegoro, Semarang, 50275, Indonesia Tumpal Ardyan U. Naigolan Architecture Department, Vocational School, Universitas Diponegoro, Semarang, 50275, Indonesia The main objective of this research is to find a combination of large currents and welding speeds, to obtain optimal welding results with metal inert gas (MIG) technique. This research will conduct procedures of experimental observations of welding with variable current and speed on MIG (metal inert gas) welding, using currents ranging from 50 to 200 amperes, 1G welding position, with welding speeds ranging from very slow to very fast, it is expected to be obtained optimal welding results. Metal Inert Gas (MIG), first used in welding aluminum plates. Arc and welding wires use electrode wires that are protected by helium gas, argon gas and for carbon steel materials using CO² gas. MIG is an alternative to using the MMA method, offering high deposition rates and high productivity. MIG is widely used especially for welding high quality steels such as stainless steel, strong steel and non-steel metals which cannot be welded in other ways. 10 30 2019 1913 1915 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2884.1081219 https://www.ijitee.org/portfolio-item/L28841081219/ Research Scholar, Department of Electrical Engineering, Jawaharlal Nehru Technological University, Anantpur, India. Shaik Hussain Vali* Ganesh Vulasala EEE department, JNTUA College of Engineering, Pulivendula, India. Paper Zero current switching (ZCS) is one of the two resonant topologies in which the switching takes place while the current through the switch is zero. The focus of this work is on modeling a Buck Zero current switching (ZCS) Quasiresonant DC-to-DC converter using a domain independent modeling approach which is bond graph modeling approach. Development of the large signal model, steady state model and small signal AC bond graph models of the converter will be presented. Further the models are simulated in MATLAB/SIMULINK and the obtained results are verified with the results obtained by direct simulation of the converter in PSIM. 10 30 2019 1916 1921 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2886.1081219 https://www.ijitee.org/portfolio-item/L28861081219/ EEE Department, National Institute of Technology Delhi, Delhi, India. Srinivas Chikkam* Sachin Singh EEE Department, National Institute of Technology Delhi, Delhi, India. Rajvardhan Jigyasu EEE Department, National Institute of Technology Delhi, Delhi, India. Amandeep Sharma EE Department , National Institute of Technical Teacher Training and Research, Chandigarh, India, With the advancements in the field of automation in the industries the use of machines is very high and if the machine which require some rotatory action for the load, the Induction motor comes in to play because of the advantages such as robustness, low maintenance, low cost etc. But with the increase in the dependency over the motors it becomes highly recommended to have machines with reliability because break in the work can lead to huge amount of loss. In order to increase the reliability of the motors predictive maintenance comes into play which requires fault classification or detection which is easily and accurately possible using the Machine Learning algorithms. With the requirements of the present scenario for predictive maintenance, this paper presents the fault classification of induction motor using Support Vector Machine SVM) and K- Nearest Neighbour (KNN) technique of classification. Here in this paper the bearing fault (BF) and broken rotor bar (BRB) fault is considered. The results collected are on the basis of validation and Principle Component Analysis (PCA) technique. And it is found that the SVM technique is better than the KNN for fault classification of Induction motor. 10 30 2019 1922 1928 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2887.1081219 https://www.ijitee.org/portfolio-item/L28871081219/ Assistant Professor, Department of Commerce and Management, St. Joseph’s College (Autonomous), Langford Road, Bengaluru, Karnataka, India. Dr. A. Senthil Kumar* Dr. S. Ramesh Associate Professor, Department of Commerce, Jain (Deemed-to-be) University, Jayanagar 9th Block, Bengaluru, Karnataka, India. Mr. Rahul S. student studying in the Department of Commerce and Management (UG), St. Joseph’s College (Autonomous), Bengaluru, Karnataka, India. A credit score numerical expression based on a level analysis of a person's credit files, to represent the solvency position of an individual. It is primarily based on a credit report, information usually sourced from credit bureaus. The present study was conducted with the aim of studying the system of credit score, assessing the level of awareness and knowledge of public on credit scoring system. Further it also examined the effect of demographic variables on awareness and knowledge level of public on credit score system. Data was collected through a well-defined questionnaire from 237 respondents in Bengaluru city of Karnataka state. The data was collected during June-July 2019 by employing convenience sampling and snowball sampling methods. Bengaluru city was chosen as the study area because there are lot of different types of individuals been setup over there like businessmen, industrialists, IT employees, salaried individuals etc. In order to achieve the objectives of the study, the statistical tools chi-square analysis and correspondence analysis were used. The statistical software SPSS version 22 was used for data analysis. The study found that that the demographic variables such as gender and number of dependents were significantly associated with level of knowledge on credit scoring system. 10 30 2019 1929 1934 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2890.1081219 https://www.ijitee.org/portfolio-item/L28901081219/ Department of Electronic Engineer, Bharat Sanchar Nigam Limited, Government of India. Rasiq S. M M.Sc.* S. Krishnakumar School of Technology and Applied Sciences (STAS), MG University Research Centre, Kochi-24, India. This work presents a novel method for multi class pattern recognition. The feature space is classified with minimum hardware complexity and maximum speed using straight lines, circles, parabolas etc. RK algorithm-based devices (RKD) and mathematical functional blocks classify the feature space very rapidly after learning pattern classification with a fewer numbers of training sets compared to other statistical and artificial neural network (ANN) methods. RKDs are self-learning and fast responding devices and which manipulate a single variable at a time. The RK algorithm is used for learning the range of a variable. A set of sample variable and their corresponding responds are given for learning. The mathematical functional blocks manipulate one or more variables or attributes to perform mathematical functions and the outputs of these blocks are fed to RKDs. Finally, the RKDs perform the classification functions. The classification using straight lines or curves depends upon the mathematical functional block. 10 30 2019 1935 1938 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2893.1081219 https://www.ijitee.org/portfolio-item/L28931081219/ department of computer science, university of institute of technology Rajiv Gandhi proudyogiki vishwavidyalaya , Bhopal, India. Sapna Sahu* Dr shikha agarawal department of computer science, university of institute of technology Rajiv Gandhi proudyogiki vishwavidyalaya , Bhopal, India. Dr. Raju Baraskar department of computer science, university of institute of technology Rajiv Gandhi proudyogiki vishwavidyalaya , Bhopal, India. In the digital world, Recently growth of online shopping site for purchasing clothes, electronic items, glossary etc and online transaction for transfer money is increasing day by day . At the same time, criminals have become able to doing fault and earning money through wrong ways .that’s why fraud grows. With the development of Machine Learning in the field of Computer Science and Engineering, its application in the different domain also in fields like Medical, Marketing, Telecommunication, finance, etc. The reason for the popularity of Machine Learning in these domains is due to its high accuracy prediction. That’s why over many years, machine learning has been used in fraud detection. With the advancement of technology in online transactions, fraud is the greatest issue for businesses and has become difficult to recognize than the traditional form of this crime. Historically, the area of Fraud Detection is interrelated to Data Mining & Text Mining. Due to the sudden growth of fraud whose outcome is loss of trillions of rupees worldwide every year, various modern techniques in detecting fraud were proposed that are progressed without interruption and applied to many business fields. Bank frauds worth ₹2.05 trillion happened in the last 11 years, among which there were overall 53,334 fraud issues in the usage of RBI data. The principle purpose behind this write up is to review different methods in identifying frauds corresponding to the unusualness in the transactions. The supervised and unsupervised machine learning algorithms will be used to identify fraud and the best first search optimization will be analyzed to compare both results, i.e., before and after optimization. 10 30 2019 1939 1946 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2894.1081219 https://www.ijitee.org/portfolio-item/L28941081219/ PG Student, Department of Civil Engineering, PDA College of Engineering Kalaburgi-585102, Karnataka, India. Md. Yousuf Ahmed* Dr. Aravind Kumar Harwalkar Associate Professor Department of Civil Engineering, PDA College of Engineering Kalaburgi-585102, Karnataka, India. The offshore jacket platforms are primarily installed in the large oceans mainly for drilling the crude oil, carbohydrates and production of electricity. The current studies emphasize on the structural performance of offshore deck jacket platform with different bracing systems. Earthquake analysis has been performed to calculate the seismic responses, with the help of bracings to control the seismic induced vibrations of the jacket platforms. For this study, a jacket platform made up of steel members has been modeled and then analyzed under earthquake and wave loadings. This paper mainly deals to compute and compare the seismic behavior of offshore steel deck platform using SAP 2000 v20 software with bracing in the horizontal plane and bracing in both horizontal and vertical planes. The total number of 8 models has been analyzed in the SAP2000 software with bracing i.e. X, V, Inverted V and K in the vertical plane and bracing i.e. X, V, Inverted V and K in both horizontal and vertical plane. A relative study has been carried out in Time period, deck displacement and base shear. Seismic analysis using linear static, i.e. Equivalent static method (ESA) and linear dynamic, i.e. Response spectrum method (RSA) has been performed. Further deck displacement, time period and base shear are determined by Equivalent static method and Response spectrum method for various types of bracing models in both horizontal and vertical planes. Among the all various types of bracing models, Inverted V bracing in the vertical plane is found to be the optimum model among all other models. 10 30 2019 1947 1953 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2896.1081219 https://www.ijitee.org/portfolio-item/L28961081219/ CSE, CT Institute of Engineering Management and Technology, Jalandhar, India. Harmandeep Kaur* Vikas Khullar CSE, CT Institute of Engineering Management and Technology, Jalandhar, India. Harjit Pal Singh ECE, CT Institute of Engineering Management and Technology, Jalandhar, India. Manju Bala CSE, Khalsa College of Engineering and Technology, Amritsar, India. Collaborating big data and machine learning approaches in healthcare can help in improving clinical decision making and treatment by identifying and accumulating accurate features. Prenatal hypoxia can also be identified by cardiotocography (CTG) monitoring that helps in identifying the condition of the fetus. Imposing the data over distributed approaches can help in fast computation to rate the fetal and mother wellbeing before delivery. Our research aims to propose and implement a scalable Machine learning Algorithm based perinatal Hypoxia diagnostic system for larger datasets. This system was implemented on the CTG dataset using python and pyspark models like SVM, Random Forest, and Logistic regression. In the proposed method experiment results contributing to spark RF are more accurate than other techniques and achieved the precision of 0.97, recall of 0.99, f-1 score of 0. 98, AUC of 0.97 and gained 97% accuracy. 10 30 2019 1954 1959 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2905.1081219 https://www.ijitee.org/portfolio-item/L29051081219/ CSE, CT Institute of Engineering, Management and Technology, Jalandhar, India. Jagriti* Vikas Khullar CSE, CT Institute of Engineering, Management and Technology, Jalandhar, India. Dr. Harjit pal singh ECE., CT Institute of Engineering, Management and Technology, Jalandhar, India. Dr. Manju Bala CSE, Khalsa College of Engineering and Technology, Jalandhar. India Text classification or Text mining is a very demanding field because the content created by the user in natural language is not easily understandable. It becomes very important to systematically identify and extract subjective information from user content so that it can be easily understandable. The whole process is done by assigning a particular class to text. In the field of opinion mining, most of the work has been done in common areas like restaurants, electronic goods, movie feedback, etc. and a lot of work needs to be done in the area of healthcare and medical. So, the proposed work has been carried over healthcare. The aim of this study is to classify the text feedback of patient using optimized deep learning model to identify the impact of therapy. In proposed method comparison of CNN with machine learning algorithms has been done, in which, CNN gave better results in terms of accuracy (99.98%), precision (0.981), recall (0.981), mean squared error (0.282). Further, we have implemented the CNN with N-gram technique and found that this method improved the results of CNN based on precision (0.999), recall (0.999), mean squared error (0.001), area under curve (0.998) but accuracy remained the same. 10 30 2019 1960 1967 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2906.1081219 https://www.ijitee.org/portfolio-item/L29061081219/ Dept. of Electronics and Communication CMR Institute of Technology Bangalore, Gitanjali Suresh* Nidhi Poddar Dept. of Electronics and Communication CMR Institute of Technology Bangalore, India Lavanya M Dept. of Electronics and CommunicationCMR Institute of Technology Bangalore, India Suganya S Dept. of Electronics and Communication CMR Institute of Technology Bangalore, India Venkateswaran K Dept. of Electronics and Communication CMR Institute of Technology Bangalore, Military and battlefield applications are in an accelerated pace due to its demand fueled by government investment. In this paper a modern approach is presented for surveillance at border and remote areas using multifunctional robot based on Bluetooth technology and ARM Cortex M4. It will control both an autonomous and manually controlled robots using wireless technologies. The applications of this multisensory robot is used to detect human, bombs and metallic weapons at remote and war field areas and share the live feed and the location to the operator. Instead of having people get close to hazards such as unattended objects robots are used. An autonomous operation is performed to control using ultrasonic sensor acting as an obstacle detector. In this paper the robotic vehicle is designed for reconnaissance as well as surveillance under certain circumstances. The use of ARM Cortex M4 as the main controller helps in tight integration of system peripherals thereby reducing area and development costs in comparison with existing conventional wireless security robots. 10 30 2019 1968 1974 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2907.1081219 https://www.ijitee.org/portfolio-item/L29071081219/ Sabri, Computational Intelligence Technologies (CIT), Center of Advanced Computing Technologies (CACT), Fakulti Teknologi Maklumat dan Komunikasi, Universiti Teknikal Malaysia (UTeM), 76100 Durian Tunggal, Melaka, Malaysia Nor A. M.* Nurul A. Emran Computational Intelligence Technologies (CIT), Center of Advanced Computing Technologies (CACT), Fakulti Teknologi Maklumat dan Komunikasi, Universiti Teknikal Malaysia (UTeM), 76100 Durian Tunggal, Melaka, Malaysia Norharyati Harum Information Security Forensics and Computer Networking (INFORSNET), Center of Advanced Computing Technologies (CACT), Fakulti Teknologi Maklumat dan Komunikasi, Universiti Teknikal Malaysia (UTeM), 76100 Durian Tunggal, Melaka, Malaysia. Open data initiative has been adopted by many countries worldwide due to the need for establishing agile open government and knowledge-based economy. As a result, we can witness an increasing amount of government open data shared on public government's portals that become sources of rich big data. While this scenario provides data transparency and eases accessibility for public data consumers, the quality aspect, or the veracity property (as commonly coined to big data) of open data is the topic of concerned. Not only poor quality data causes misleading results, the reputation of the government as an open data provider can also be negatively affected. Thus, to understand how the government's portals deal with the veracity aspect of their data, in this paper, we present the results of examining quality criteria imposed by selected government's data portals for their data contributors. In particular, we extract quality criteria from the open data policy of the government's data portals under study. The result shows that out of 108 portals, only 27% of the portals explicitly state their quality criteria in the policy, with varying coverage of quality criteria. The frequency of the identified 15 quality criteria shows the types of quality criteria that receive more (and less) attention by the open data portals based on their relative importance. We conclude with suggestions on the areas of further research and development in the government's open data. 10 30 2019 1975 1983 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2908.1081219 https://www.ijitee.org/portfolio-item/L29081081219/ M.Tech student in determent of civil engineering in Institute of Aeronautical Engineering, Dundigal Hyderabad, Telangana. D.Ajay Kumar* N.Venkat Rao working Associate professor in the department of Civil Engineering in Institute of Aeronautical Engineering, Dundigal Hyderabad, Telangana. Dr. Ram Mohan Rao Papolu working as Professor and Head of the department in Civil Engineering department in Institute of Aeronautical Engineering, Dundigal Hyderabad, Telangana. Rubber tires are produced excessively worldwide every year. It is not easy to remove rubber waste from environment because it causes environmental pollution and its decomposing takes long -time. The reuse of rubber is better than disposal. The waste rubber can be reuse as a coarse aggregate in concrete. This rubber concrete has elastic properties and strong gravity they can also be used has light weight bricks because rubber is in light weight hence it can be replaced coarse aggregate in percentages the weight of concrete reduced. The rubber replaced concrete can be study by conducting experiments on rubber replaced concrete cubes the experimental testes want to conduct on concrete are compressing test, split tensile test and flexible test. The number of unused tires from different types of vehicles increasing rapidly his one of the main environmental problems today. About 1 billion garbage tires thrown away every year, and it is estimated that about 1.2 billion will pass each year. In this study mechanical properties of rubber we came to know that the rubber aggregate using in concrete have an equal strength of ordinary concrete by adding rubber aggregates the weight of the concrete decreases and it can also use as low weight bricks. 10 30 2019 1984 1988 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2910.1081219 https://www.ijitee.org/portfolio-item/L29101081219/ Department of Production Engineering, Veer Surendra Sai University of Technology, Burla. N. K. Kund* Arduous experimentations remain accomplished for exploring effects of nozzle to plate spacing on heat dispersal over flat plate concerning constant thermal value 6 W/cm2. This paper presents the experimental studies on cooling behavior with water jet impingement. Several influencing parameters pertaining to cooling behaviors of striking jets got recognized for investigating impacts over heat transfer characteristics. The parameters taken into account are nozzle diameter (3, 4, 5 and 6 mm), Reynolds number (800, 1600, 2400 and 3200), nozzle to plate spacing (20, 25, 30 and 35 mm) and jet inclination (30⁰, 45⁰, 60⁰, 75⁰ and 90⁰). Additionally, the studies are limited to a constant heat flux situation. The chary interpretations of results tell that performance remains boosted with regard to these key parameters. However, for current experimental settings, nozzle to plate spacing of 25 mm delivers enough thermal credentials and is the exceptionally supreme. 10 30 2019 1989 1992 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2913.1081219 https://www.ijitee.org/portfolio-item/L29131081219/ Department of Production Engineering, Veer Surendra Sai University of Technology, Burla. N. K. Kund* Onerous experimentations stay continued for examining influences of jet inclination on heat dispersal over flat plate concerning constant thermal value 6 W/cm2. This paper presents the experimental studies on cooling behavior with water jet impingement. Several influencing parameters pertaining to cooling behaviors of striking jets got recognized for investigating impacts over heat transfer characteristics. The parameters taken into account are nozzle diameter (3, 4, 5 and 6 mm), Reynolds number (800, 1600, 2400 and 3200), nozzle to plate spacing (20, 25, 30 and 35 mm) and jet inclination (30⁰, 45⁰, 60⁰, 75⁰ and 90⁰). Additionally, the studies are limited to a constant heat flux situation. The chary interpretations of results tell that performance remains boosted with regard to these key parameters. However, for present experimental settings, jet inclination of 60⁰ brings plenty cooling badges and is remarkably ultimate. 10 30 2019 1993 1996 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2914.1081219 https://www.ijitee.org/portfolio-item/L29141081219/ Quality Engineering, Universiti Kuala Lumpur (UniKL), Johor, Malaysia 1 School of Mechanical Engineering, Universiti Teknologi Malaysia (UTM), Johor, Malaysia A. Nurulhuda S. Izman School of Mechanical Engineering, Universiti Teknologi Malaysia (UTM), Johor, Malaysia Nor Hasrul Akhmal Ngadiman* School of Mechanical Engineering, Universiti Teknologi Malaysia (UTM), Johor, Malaysia The selection of the optimum scaffold fabrication method becomes challenging due to a variety of manufacturing methods, existing biomaterials and technical requirements. Although, Digital light processing (DLP) 3D printing process is one of the SLA techniques which commonly used to fabricate tissue engineering scaffold, however, there is no report published on the fabrication of tissue engineering scaffold-based PEGDA filled with Aramid Nanofiber (ANFs). Hence, the feasible parameter setting for fabricating this material using DLP technique is currently unknown. This work aims to establish the feasible setting parameter via DLP 3D printing to fabricate PEGDA/ANFs 3D tissue engineering scaffold. Preliminary study has been done to identify the accurate composition and curing time setting in producing scaffold. In this work, the researcher has proved the potential and capability of these novel composition biomaterial PEGDA/ANFs to be print via DLP-3D printing technique to form a 3D structure which is not yet been established and has not reported elsewhere. 10 30 2019 1997 2006 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K2916.1081219 https://www.ijitee.org/portfolio-item/L29161081219/ Associate Professor, School of Management, Sri Krishna College of Engineering and Technology, Coimbatore Dr.N. Manicka Mahesh* Mr.J. Prabhakaran Assistant Professor, School of Management, Sri Krishna College of Engineering and Technology, Coimbatore The economic progress and productive efficiency of an economy is governed to a large extent by the effective mobilization and distribution of savings into productive channels of investment. The company is not a single entity which is supported by the economy as well as the industry in which the company operates. The ability of the corporate sector to mobilize funds through capital markets depends on efficient functioning of the stock exchanges. The extent, to which security prices reflect the real worth of companies, reflects the efficiency of the market. The main objective of doing corporate valuation is to take part in company’s equity capital as a shareholder of a company. Before investing in any company, the company’s financials through its income statement and balance sheet, market share, competition, competitive advantage, scalability of business etc., has to be studied well apart from general economic conditions of a nation. The end result for performing the valuation analysis is to give suggestion to the investor whether the company stocks are worth for investing and identifying the possibility of expected yield out of it. Here select scrips in the cement industry have been taken for valuation analysis. 10 30 2019 2007 2011 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2918.1081219 https://www.ijitee.org/portfolio-item/L29181081219/ Professor, School of Management, Sri Krishna College of Engineering and Technology, Coimbatore Dr.K. Nagarajan* Mr. J. Prabhakaran Assistant Professor, School of Management, Sri Krishna College of Engineering and Technology, Coimbatore Monte Carlo Simulation depends on random behaviour of events. When a variable takes values at random and becomes highly unpredictable due to its nature of randomness, the property of random numbers is made use of for predicting the future values that the variable may take. This property can be made use of for predicting share price movements, when the past share prices exhibit random behaviour, without exhibiting high fluctuations. This article explains the methodology of using Monte Carlo Simulation for predicting share price movements and explains the process with the help of an illustration taking the monthly share price data of ITC Limited for a period of 36 months, where the share prices have moved within a narrow band. Findings of the analysis show that it works well and that the method of prediction is reasonably accurate, showing only a minor deviation from the actual prices. 10 30 2019 2012 2016 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2919.1081219 https://www.ijitee.org/portfolio-item/L29191081219/ BA.LLB(HONS), 3rd YEAR, Saveetha School of Law, Saveetha Institute of Medical and Technical Sciences (SIMATS), Tamil Nadu, Chennai, India. Jayasuriyan B* Malaimagal S B.A.,M.L, Assistant Professor, Saveetha School of Law, Saveetha Institute of Medical and Technical Sciences (SIMATS), Tamil Nadu, Chennai, India. Regulation in general is literally defined as a form of government intervention in the economic activity and interference with the workings of the free-market system. According to certain views, regulation is “synonymous with government intervention in social and economic life”. Free marketeers do not like regulations because they do not like any form of intervention in which that is made by the government and prefer to feel the full power of the market. However, those who believe that the government intervention may be necessary, and then even such people should not be exposed to the full tyranny of the market on find regulation to be tolerable, even desirable. Majorly, three theories of regulation in which that is made and referred till now, as in which they are Public Interest Theory, Private Interest Theory and Institutional Theories as in which each theory flows and deals with different aspects in order to provide a proper regulation. And The current research focuses on the theories of regulation with regard to the satisfaction of the people, and the current issue analyzed with the help of Statistical Package for the Social Sciences, and it is used by various kinds of researchers for complex statistical data analysis in order to produce an appropriate and an unbiased result. 10 30 2019 2017 2025 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2921.1081219 https://www.ijitee.org/portfolio-item/L29211081219/ Master’s degree program in structural engineering in MIT World Peace University, Pune-India Yash N. Patel* Prof. Darshan G. Gaidhankar is currently associate professor in school of civil engineering, MIT World Peace University, Pune-India Prof.Dr.Mrudula S. Kulkarni is currently professor in school of civil engineering, MIT World Peace University, Pune-India. The concept of industrialization of the construction technology has emerged as well accepted and preferred option in the field of building construction now days in order to reduce in – situ construction up to maximum extent. Ferrocement is the one of the relatively new cementitious composite considered as a construction material. The main aim of this study is to investigate the behavior of Ferrocement panel under low velocity impact. Size of panel is 250 x 250 mm and thickness is varying from 20mm to 40mm. Corrugated fibers were added in panels. Volume of corrugated fibers was considered as 1.5% of total volume of panel. Weld mesh and woven mesh were used in ferrocement panels. Numbers of layers of mesh were 2 and 3. Height of drop is 1m. M30 and M40 Grade of mortar were used. Equivalent stress, Normal stress and Deformation were the main parameters for this research work. From the results it can be concluded that weld mesh with corrugated fibers is good at the impact resistance. 10 30 2019 5245 5249 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2923.1081219 https://www.ijitee.org/portfolio-item/L29231081219/ Research Scholar, Department of English Sathyabama Institute of Science and Technology Fennila James S* Dr. S. Mercy Gnana Gandhi Professor, Department of English Sathyabama Institute of Science and Technology In today's world of development any individual is in need of developing the employability skills in order to grow and settle in their profession. Their possession of hard skills such as education, experience and expertise does not guarantee them perfect job opportunities. Low proficient learners from Arts and Science Colleges find it difficult to get reasonable jobs because they lack employability skills. This is an attempt to analyze the role of technology in the development of employability skills particularly English vocabulary in the low proficient learners of Arts and Science College. 20 students from 3 different departments were given assignments to be done using 3 online tools. Assessment has been made to find out some difference in training the low proficient learners from Arts and Science. The result shows a tremendous change in attitude in learning vocabulary in the low proficient learners from Arts and Science. English vocabulary can be. The soft skills syllabus prescribed can be enriched and made more interesting especially for the low proficient learners with the addition of the online tool ‘Memrise” for learning vocabulary. This will pave a path to those that found learning English difficult. 10 30 2019 2133 2140 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2926.1081219 https://www.ijitee.org/portfolio-item/L29261081219/ Research Scholar, Amity Institute of Education, Amity University, Noida, UP, India. Suman Gupta* Neetu Shukla Mishra Asst. Professor III, Amity Institute of Education, Amity University, Noida, UP, India. Indu Babra Kumar Professor And Head, Department of ICT & Training Division, CIET, NCERT, New Delhi, India. Twenty first Century skills comprise the skills and abilities that are required by every individual to attain success in life. These skills are also commonly known as Soft Skills and are not only a pre requisite for any employment opportunity but are also highly valued in any classroom or profession. Unfortunately, despite the huge importance laid on the development of these skills, there exists a gap between the skills required for the success in life and the skills harnessed in the classrooms. A study was undertaken to find out the attitude of the senior secondary school students and the application of the soft skills in their real life. The findings revealed that the attitude of the learners towards the acquisition of these skills is vagrant and so is their application of these skills in real life. The present study aims to find out if attitude of the senior secondary school students towards the soft skills is correlated to the application of these skills in the real life. 10 30 2019 2141 2145 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2931.1081219 https://www.ijitee.org/portfolio-item/L29311081219/ Department of Computer Engineering and Technology, Guru Nanak Dev University, Amritsar, India. Ms. Ridhi Kapoor* Dr. Sandeep Sharma Department of Computer Engineering and Technology, Guru Nanak Dev University, Amritsar, India. With the receptiveness in Micro-Electro-Mechanical-System (MEMS), workgroup computing, as well as wireless information computing have facilitated heterogeneous wireless sensor networks (Het-Net) as rapidly growing technological era. Thus, to incorporate such applications the WSNs must be energy adept so as to have increased Network Lifespan, Shrunk Network Costs Using Clustering, Compressive Sensing, and Data Fusion (Aggregation) & Efficient Routing Protocols over Spatially Disseminated Sensing Nodes. The sensor nodes have confined sensing, processing, and communication potentialities, due to constrained battery life, and in most of the scenarios, it is almost unfeasible to outplace the sensors during complete energy dissipation. Therefore, energy preservation is the major need of WSN existence. In this paper we have done the extensive analysis of the numerous parameters like network lifetime, number of Super Nodes (cluster heads) at each iteration, number of viable nodes per iteration, throughput, inter-cluster topology, type of heterogeneity, level of heterogeneity, etc. which in turn are directly proportional to Network Operational cost. 10 30 2019 2146 2155 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2931.1081219 https://www.ijitee.org/portfolio-item/L29321081219/ Public Health Doctoral Student at Hasanuddin University, Makassar, Indonesia & Faculty of Psychology and Health Science, UIN Sunan Ampel Surabaya, Indonesia. Zuardin* Amran Razak Department of Administration and Health Policy, Faculty of Public Health, Hasanuddin University, Indonesia M. Alimin Maidin Department of Hospital Management, Faculty of Public Health, Hasanuddin University, Indonesia. Muhammad Tamar Department of Psychology, Faculty of Medicine, Hasanuddin University, Indonesia Ahmad Yani Department of Health Promotion, Faculty of Public Health Universitas Muhammadiyah Palu, Indonesia The psychological state of a person will be affected when they are diagnosed with cancer and this condition will actually worsen the physical condition of the patient. However, many breast cancer sufferers are able to face this stressful situation positively, and they experience post-traumatic growth. They did a series of coping strategy when they had cancer and some of these strategies were able to influence their post-traumatic growth. The current study aims to investigate and to understand how different coping strategy can affect the level of post-traumatic growth of housewives with cancer. This study used a descriptive-explorative qualitative approach with eight women with breast cancer completed surveys using the Posttraumatic Growth Inventory (Tedeschi& Calhoun). The coping strategy was obtained using an interview. The results of the present study indicate that sufferers performed different coping strategies and this affects their level of post-traumatic growth. Respondents with high post-traumatic growth exercise a problem-focused coping i.e. positive reappraisal and emotion-focused coping strategy, i.e. seeking social support when they first learned about the condition of their disease. Respondents who had low post-traumatic growth, on the other hand, did emotional-focused coping strategies, which isavoidance and distancing when they first learned about the condition of their illness. This study also found several factors that influence patients’ strategy. There are differences in the Coping pattern Strategy used by housewives with breast cancer in terms of differences in levels of post-traumatic growth it has. The pattern of coping strategy that is carried out for the first time by housewives with breast cancer could lead themto be in a variety of post-traumatic growth conditions. 10 30 2019 2156 2159 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2943.1081219 https://www.ijitee.org/portfolio-item/L29431081219/ Electronics and Communication Engineering, GMRIT, Rajam, India. M. V. Nageswara Rao* generative adversial networks are a neural-network based generative models , predominantly used for generating data-samples close to the data distribution they have been trained on .A model for generating realistic blood cell images based on cycle-consistent generative adversial networks is developed along with their corresponding segmentation masks 10 30 2019 2160 2161 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2948.1081219 https://www.ijitee.org/portfolio-item/L29481081219/ School of ECE, REVA University, Bangalore, India. Aryalekshmi B N* Dr. R C Biradar School of ECE, REVA University, Bangalore, India. Mohammed Ahamed J RRSC-South, NRSC, Bangalore, India. Thermal imaging innovation has transformed into an important technique in all fields as a result of its non-ruinous, non-contact method to choose thermal properties and highlights of any object/zone of interest. It is a procedure of improving the permeability of objects in a dark environment by detecting the objects infrared radiation and shaping an image based on that obtained data. This method will be useful in all fields where temperature difference helps in analyzing the area/object. The potential use of this technique in the agricultural field includes irrigation scheduling, soil properties mapping, plant disease detection, crop yield estimation, evaluating the maturity of the crop, etc. This paper briefly reviews some of the works on thermal imaging for agricultural applications. 10 30 2019 2162 2168 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2949.1081219 https://www.ijitee.org/portfolio-item/L29491081219/ EEE, Ramachandra College of Engineering, Eluru,India Dr.K.R. Vadivelu* Dr.W.A. Augusteen EEE, Sasi Institute of Technology, Tdepalligudem, India. Dr.S. Jayalakshmi EEE, Rama Chandra College of Engineering, Eluru this article Firefly Algorithm is used as evolutionary technique for the best assignment of flexible AC transmission systems (FACTS) is a unified system. Reactive Power load taken base to 125% base loading and the system presence with FACTS devices. The lines and buses recognized to connect the FACTS devices using New Voltage Stability Index (NVSI).FACTS devices along with reactive generation of generators using Firefly algorithm. The test and Validation is performed on IEEE 30 bus and 72 bus Real time systems. Effectiveness of placement of FACTS devices is established by comparing the results reported in literature. 10 30 2019 3175 3177 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2951.1081219 https://www.ijitee.org/portfolio-item/L29511081219/ Research Scholar, KSOM, KIIT University, Bhubaneswar, Odisha, INDIA Deepti Mishra* Dr.Ipseeta Satpathy Professor, KSOM, KIIT University, Bhubaneswar, Odisha, INDIA Dr.B.C.M Patnaik Associate Professor, KSOM, KIIT University, Bhubaneswar, Odisha, INDIA Deliberate examination of ladies' progress in the executives is moderately new. It started in North America, fundamentally in the USA, during the 1970s, in Western Europe in the mid 1980s and in Asia towards the mid-1980s to look at the role conflict face by ladies business people. Aim of this study is to decide the helpers and difficulties come before ladies business visionaries in IT sector. There are numerous components which urge ladies to enter in this field uniquely to gain cash, money related help to family, autonomy and so forth yet there are numerous obstacles before them like continuing in market, capital, sex biasness, and job struggle. Ladies face more job struggle then men business visionaries as social desire are more from them. Life partner's help is an incredible quality for them. Organizing capital is major ordeal for another business person. Furthermore, to maintain a business she should have a decent systems administration. Next to bunches of requirements on the off chance that she get support from her family and particularly from her life partner it will assist her a ton with maintaining her work-life-balance. 10 30 2019 2169 2174 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2954.1081219 https://www.ijitee.org/portfolio-item/L29541081219/ Information Technology College, Imam Ja’afar Al-Sadiq University, Baghdad-Iraq Sattar J. Aboud* Zinah S. Jabbar Information Technology College, Imam Ja’afar Al-Sadiq University, Baghdad-Iraq This paper proposes a new card game and dealing system, designed specifically for poker games. The proposed method benefits from two poker characteristics games that are ignored by public card systems. First, cards are dealt in poker games in the form of rounds, betting with them, instead of all at once. Second, the total number of cards dealt in poker game cards is depending on the number of players but is usually less than half the total. With these remarks in mind, the proposed method distributes the computing cost of dealing cards evenly across the rounds. Compared to systems that provide a full introduction to the deck, the proposed approach provides a significant reduction in the total cost of computing. Also, it’s fair and strong. It perfectly fits hardware such as smartphones. The presented system is fast and secure mental poker protocol. It is twice as fast as similar protocols. 10 30 2019 2175 2179 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2956.1081219 https://www.ijitee.org/portfolio-item/L29561081219/ Professor and Head, Department of Biomedical Engineering, Kings Engineering College, Chennai, India. Chellaswamy C* Santhi Ponraj Assistant Prof, Department of Computer Science and Engineering, Sri Muthukumaran Institute of Technology, Chennai, India. Venkatachalam K Associate Professor, Department of ECE, Audisankara College of Engineering and Technology (Autinomous), Gudur, India. This paper describes the possible way of monitoring the health of the rail track to increase the comfort and ride quality of rail transportation. The abnormalities present in the track are identified and rectified at the initial stage. In this paper, Convolutional Neural Network and Extreme Learning Machine Algorithm (CNN-ELMA) based rail track monitoring is proposed to estimate the exact abnormality. The micro-electro-mechanical sensor (MEMS) accelerometers are fixed in the axle box for measuring the acceleration signal. The location of abnormality is measured by a new sensing method even if the signal of the global positioning system (GPS) is absent. To pre-process the raw signal received from the accelerometer is done by using a Continuous Wavelet Transform (CWT). Then the high-level features are extracted using CNN with a square pooling architecture. To evaluate the performance of the proposed CNN-ELMA, it is simulated and compared with four other methods. The comparison results show that the proposed CNN-ELMA is an effective and accurate method useful for the maintenance department of railways. An experiment has been conducted for the four different abnormal locations and the performance of the proposed method is studied. 10 30 2019 693 702 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2959.1081219 https://www.ijitee.org/portfolio-item/L29591081219/ Faculty of Computer Science, Mercu Buana University, Jakarta, Indonesia, Dheny Frizki* Indra Ranggadara Faculty of Computer Science, Mercu Buana University, Jakarta, Indonesia. Amalia Fajar Wati Faculty of Computer Science, Mercu Buana University, Jakarta, Indonesia, Along with the development of information and communication technology systems in the era of free digitalization, people are asking for comfort and convenience by supporting their activities. One of them is easy to find artificial intelligence technology in various ways to support human activities. Artificial intelligence technology or often called Artificial Intelligence (AI) can be processed into various forms so that according to the adjusted method. Application of Artificial Intelligence Markup Language (AIML) with UML (Unified Modeling Language) design as an interactive media for personnel and employee services. The UML (Unified Modeling Language) design method is expected to help the personnel department in providing information to employees at PT. Dimensions of Indonesian Data. The information collected will be made into frequently asked questions and then adjusted to the AIML pattern. 10 30 2019 2180 2186 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2962.1081219 https://www.ijitee.org/portfolio-item/L29621081219/ presently doing Phd in School of Computer Sciences, Mahatma Gandhi University, Kottayam Rahul Shajan* Dr.Gladston Raj Professor & Head, Department of Computer Science @ Government College Nedumangad. Majority of people have connected their day to day life with Astrology. Normally the astrological factors would be checked for the prediction of birth details, house warming, marriages etc. The perception of astrology may vary for people. Due to the innumerable instance that provides the influence of astrology in our day to day life, some consider it as divine guidance or a vital source of information that has much to offer apart from solutions to problems in life. People are considering astrology as the traditional science of India. All the popular television channels and newspapers include the astrology programs in their schedules. That is only because of the wide popularity and acceptability of astrology in the minds of common man. Still, modern science is not considering astrology as a proven science. All the astrological calculations and predictions are still performed in the traditional way. Modern scientific methods or inventions are not at all used by the astrologers. In this paper, there is an attempt to connect traditional science with the modern science. Nowadays data mining is a most popular research area. Application of data mining in astrology is a new concept and that type researches are not popular now. If it is possible to prove that the data mining techniques are effective for astrological prediction then it will help to increase the acceptance of astrology in the area of modern science. Thus, there is an effort to increase the credibility of traditional science astrology by connecting it with modern science through the possibilities of Data mining. 10 30 2019 2187 2193 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2964.1081219 https://www.ijitee.org/portfolio-item/L29641081219/ Department, AISSMS's Institute of Information Technology, Pune, Maharashtra, India. Kritika Vivek Narkhede* The variations produced by the change in cloud cloud cover can cause rapid fluctuations in power generated by photovoltaic system. Thus, energy storage system are necessary in order to smooth power fluctuations. The main objective of this paper is to design photovoltaic system to regulate the fluctuations through energy storage system. Thus we have proposed a system in which we use dc-dc converter for MPPT application , TL494 IC generate the pulse for charging the battery as well as to regulate the fluctuatios. 10 30 2019 2194 2198 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2972.1081219 https://www.ijitee.org/portfolio-item/L29721081219/ Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka (UTeM), Melaka, Malaysia and Faculty of Science and Technology, Department of Information Technology, Universitas ‘Aisyiyah Yogyakarta (UNISA), Indonesia. Nur Rachman Dzakiyullah* M.A. Burhanuddin Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka (UTeM), Melaka, Malaysia. Raja Rina Raja Ikram Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka (UTeM), Melaka, Malaysia Khanapi Abdul Ghani Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka (UTeM), Melaka, Malaysia Winny Setyonugroho Faculty of Medicine and Health Science Muhammadiyah University of Yogyakarta (UMY), Yogyakarta, Indonesia. Machine Learning is one of the methods used for task prediction. In the diabetic’s research field, the application of machine learning is emerging since the advantages of approximation on the prediction technique has significantly given insight for many health practitioners. Machine Learning is utilized in order to handle the uncontrollable risk factor by finding a relation between such a risk factor trough prediction. This study aims to review recent machine learning models that have been used in diabetes prediction with respect to the risk factors in order to prevent diabetes. This study compares the performance of the model by justified the accuracy as the baseline to evaluate the model. The result of this review shows that the Random Forest and Support Vector Machine are the most popular technique among researcher. Moreover, from this study, it can be seen that Type 2 Diabetes Mellitus (T2DM) has been a concern by researchers since the incidence of diabetes was increasing in worldwide today that happened from an uncontrollable risk factor. 10 30 2019 2199 2205 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2973.1081219 https://www.ijitee.org/portfolio-item/L29731081219/ Federal State Unitary Enterprise Central Scientific Research Automobile and Automotive Institute " NAMI" (FSUE «NAMI»), Moscow, Russia. Ilya Aleksandrovich Kulikov* Ivan Alekseevich Ulchenko Federal State Unitary Enterprise Central Scientific Research Automobile and Automotive Institute "NAMI" (FSUE «NAMI»), Moscow, Russia. Anton Vladimirovich Chaplygin Federal State Unitary Enterprise Central Scientific Research Automobile and Automotive Institute "NAMI" (FSUE «NAMI»), Moscow, Russia. The article describes the main development and testing aspects of an emergency braking function for an autonomous vehicle. The purpose of this function is to prevent the vehicle from collisions with obstacles, either stationary or moving. An algorithm is proposed to calculate deceleration for the automated braking, which takes into account the distance to the obstacle and velocities of both the vehicle and the obstacle. In addition, the algorithm adapts to deviations from the required deceleration, which are inevitable in the real-world practice due to external and internal disturbances and unaccounted dynamics of the vehicle and its systems. The algorithm was implemented as a part of the vehicle’s mathematical model. Simulations were conducted, which allowed to verify algorithm’s operability and tentatively select the system parameters providing satisfactory braking performance of the vehicle. The braking function elaborated by means of modeling then was connected to the solenoid braking controller of the experimental autonomous vehicle using a real-time prototyping technology. In order to estimate operability and calibrate parameters of the function, outdoor experiments were conducted at a test track. A good consistency was observed between the test results and simulation results. The test results have proven correct operation of the emergency braking function, acceptable braking performance of the vehicle provided by this function, and its capability of preventing collisions. 10 30 2019 703 709 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2975.1081219 https://www.ijitee.org/portfolio-item/L29751081219/ School of Electrical Engineering ,VIT University, Vellore, India CH Hussaian Basha C. Rani* School of Electrical Engineering, VIT University, Vellore, India Photovoltaic (PV) systems are the most popular electric power generation systems for domestic as well as industrial applications because of its sustainability and excess availability in nature. Under Partial Shading Condition (PSC), the nonlinear characteristics of solar PV consist of multiple local Maximum Power Points (MPPs) and one global MPP. Hence, it is difficult to operate the operating point of the solar PV closer to true MPP. There are different tracking methods available for MPP Tracking in the literature. The classical Maximum Power Point Tracking (MPPT) methods are not suitable under partial shading conditions because the operating point of PV may settle down to any one of the local MPP. Also, these methods failed to mitigate the oscillations across the operating point of solar PV. The recently developed evolutionary based MPPT techniques are becoming more prominent in order to avoid the drawbacks of classical MPP techniques. In this article, different types of MPPT techniques such as evolutionary, metaphor-metaheuristic and hybrid MPPT techniques are discussed in detail along with their advantages and disadvantages. The comparative analysis is carried out by considering the parameters such as tracking speed, oscillation across MPP, settling time, implementation complexity and efficiency. 10 30 2019 2206 2216 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2976.1081219 https://www.ijitee.org/portfolio-item/L29761081219/ BBD University Lucknow India. Shadab Siddiqui* Manuj Darbari BBD University Lucknow India. Diwakar Yagyasen BBD University Lucknow India. Cloud computing is a new sort of computing over internet. It has many advantages along with several issues. These issues are related to load management, security of data in cloud. In this paper, the most important concern is to prevent bottleneck in cloud computing. The load can be (CPU load, memory capacity, delay or network-load). Load balancing is the process of distributing the load among various servers so that none of the servers is underloaded. Load-balancing also prevents the situation where some servers are heavily loaded while others are idle. This process of Load balancing ensures that load is distributed equally among the servers. In this paper, some algorithms of load balancing is discussed along with its benefits and drawbacks and also tested these algorithms on some performance parameters. 10 30 2019 2217 2221 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2978.1081219 https://www.ijitee.org/portfolio-item/L29781081219/ Department of Production Engineering, Veer Surendra Sai University of Technology, Burla. N. K. Kund* Experimentations remain performed for examining influences of water jet impingement on heat dispersal over flat plate concerning constant thermal value 6 W/cm2. This paper presents the experimental studies on cooling behavior with water jet impingement. Several influencing parameters pertaining to cooling behaviors of striking jets got recognized for investigating impacts over heat transfer characteristics. The parameters taken into account are nozzle diameter (3, 4, 5 and 6 mm), Reynolds number (800, 1600, 2400 and 3200), nozzle to plate spacing ratio (7, 6, 5 and 4) and jet inclination (30⁰, 45⁰, 60⁰, 75⁰ and 90⁰). Additionally, the studies are limited to a constant heat flux situation. The chary interpretations of results tell that performance remains boosted in connection with stated fundamental parameters. 10 30 2019 2222 2225 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2979.1081219 https://www.ijitee.org/portfolio-item/L29791081219/ Department of ECE, SRMIST, Vadapalani, Chennai India. S. Karthik* K. Priyadarsini Department of CSE, VISTAS, Pallavaram, Chennai India. Sarat Suhas Department of ECE, SRMIST, Vadapalani, Chennai India. Data converters are very much useful in this modern world for circuit design at both ends i.e., transmitter end and receiver end. This paper primarily aims at reducing the overall area of the 8 bit ADC by decreasing the size of traditional counter with replacement of LFSR which uses few XOR gates and FFs. Another advantage of using LFSR is that it produce random states which may result in reducing the conversion time or in other words speeding up the ADC. Verilog A is used for implementing the ADC since it uses high level behavior model which allows to use simple equation to describe complex issues, a Standard language, Easy to learn and use and Flexible for both analog and AMS application Verilog A is much more simple than Spice C code. Linear feedback shift register is employed in the implementation of ADC as it fewer components than binary counter. The proposed ADC architecture is implemented and simulated using Cadence 0.45 μm tool and compared with Standard ADC which uses traditional binary counter. Results show that there is almost 50% in power savings when compared to the traditional ADC designs. 10 30 2019 2460 2463 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2983.1081219 https://www.ijitee.org/portfolio-item/L29831081219/ Parul Institute of Computer Application, Parul University, Vadodara and Calorx Teachers’’ University, Computer Science Department, Ahmadabad, India. Mr. Abhishek Mehta* Dr. Ashish Chaturvedi Calorx Teachers’’ University, Computer Science Department, Ahmadabad, India. Mr. Dharmendrasinh Rathod Parul Institute of Computer Application, Parul University, Vadodara, India. Mr. Mr. Maulik Patel Parul Institute of Computer Application, Parul University, Vadodara, India. This paper presents an overview of feature extraction methods for off-line recognition of segmented (isolated) digit/chratchter. Selection of a feature extraction method is probably the single most important factor in achieving high recognition performance in character recognition systems. Different feature extraction methods are designed for different representations of the digit/characters, such as solid binary characters, skeletons (thinned digit /characters), or gray level sub images of each individual character. Latest research in this area has been able to grown some new methodologies to overcome the complexity of Guajarati digit writing style. The recognition of handwritten digits which are written in proper way to easily readable. The problem is human can write digit in different styles so it is not identified by the computer but the some feature extraction methodologies like end point, junction point; straight lines etc. For features identification and character classification studied different algorithm and technique. 10 30 2019 2389 2394 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2985.1081219 https://www.ijitee.org/portfolio-item/L29851081219/ Mohammed V University in Rabat, Materials, Energy and Acoustics TEAM, Morocco. Yassine Chihab* Mohammed Garoum Mohammed V University in Rabat, Materials, Energy and Acoustics TEAM, Morocco Najma Laaroussi Mohammed V University in Rabat, Materials, Energy and Acoustics TEAM, Morocco The building sector consumes more than 25% of energy consumption in Morocco. So, the reducing of the energy cost of building has become a necessity. In this context, the objectives of this work are to investigate the thermophysical properties and the energy performance of earthen walls made from three types of unfired clay bricks. This work is broken into two steps. In the first step the apparent thermal conductivity was obtained experimentally using the hot plate method. In the second step, the thermophysical properties obtained were used to calculate the decrement factor and the time lag of complete walls mad from these materials by solving the transient heat conduction equation with periodic loadings using the eigenfunction expansion and the integrating factor methods. The effect of the outer and inner combined convection and radiation heat transfer coefficient on these dynamic thermal characteristics was studied. The optimum thickness of the walls was also calculated. Finally, the effect of thermal insulation on energy performance of the walls was studied 10 30 2019 2395 2404 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2988.1081219 https://www.ijitee.org/portfolio-item/L29881081219/ Department of CSE, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, Tamil Nadu, India. K. Arthi* M. Rajeev Kumar Department of CSE, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, Tamil Nadu, India. Iris Segmentation, an initial and vital stage of the iris recognition stage which directly affects the recognition accuracy. Especially, the non-cooperative environment that leads to contain many of the noise parameters in the captured image. Since the recognition accuracy of the iris biometrics system is extremely dependent on the proper iris segmentation, this paper is devoted to the segmentation perspective of the non-cooperative iris recognition system. The initial stage of the proposed method is started with applying a hybrid median filter algorithm to remove the possible noises and then a region-based level set algorithm is applied to overcome the identification of the concave property in the non-cooperative iris segmentation and enhanced Otsu’s thresholding method is applied to the pupil segmentation. UBIRIS, a publicly available iris database for the non-cooperative situation, Version 1 and Version 2 is used for the implementation purpose. The accuracy of the segmentation result is achieved as 94.56 and 94.53 for the UBIRISv.1 and UBIRISv.2 respectively which show the proposed method as a better one. 10 30 2019 2405 2411 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2991.1081219 https://www.ijitee.org/portfolio-item/L29911081219/ Assistant Professor, NEF College, Guwahati, India. Dr. Jayasree Nath* Digitalisation is a process to improve human common errors in developmental process. It covers all aspects from science and technology to communication, social, political, economic areas. Digitalisation makes life easier. India being a globalised, democratic country introduced digitalisation process to improve the conditions of people living in India. The present Prime Minister himself advocated ‘digital India’ campaign to reduce corruption, fast transaction and remove the manual obstacles for a faster economic growth and development of India. Digitalisation of electoral process means the use of digital equipments in the election system in India. It includes technique, tools used in the campaign process, introduction of Electoral Voting Machines (EVMs) for result declaration etc. This paper will examine the digitalisation of electoral process in India with special reference to the impact of digitalisation on voting behaviour of people in the last two general elections. Secondly, the changes it has created in 2014 and 2019 general elections compare to the earlier election and followed by data analysis part of the paper and conclusion. In conclusion the paper tried to explain the pros and cons of digitalisation of the election process and its impact on the voting behaviour of people. 10 30 2019 2412 2416 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L30001.1081219 https://www.ijitee.org/portfolio-item/L30001081219/ Research Scholar, Department of Sports Technology, TNPESU G. Elumalai* R. Ramakrishnan Professor, Department of Sports Technology, TNPESU The main idea of this dissertation was to understand the inter-relationships among Biomechanical parameters which describes for javelin throwing execution and wounds continued by javelin throwers. One of the multi-joint, complex track and field throwing events is javelin throw, which needs great coordination on physiological and movement parameters. Current Javelin throwers mainly concentrate on muscular strength and the control to throw the javelin at long distance with high speed. But, it is essential for both men and women javelin throwers to effectively transfer run-up momentum and throwing arm action into great release speed and to control the release. A Great joint power was seen in spear hurlers were related with developments of the shoulder and elbow which is the system for lance tossing damage. These parameters may be modified to decrease injury risk without affecting the performance to achieve maximum throwing distance. Now a day technological advancements are increasing at a faster face, but the utilization of technologies in various sectors is very low. Considering the possible injuries to could occur, this system has been proposed for the welfare of javelin throwers. This indicates whenever the athletes commit a mistake while throwing the javelin which in-turn prevents further injuries through feedback mechanism using the sensor, IoT and Mobile App. The real-time monitoring of injury parameter and providing feedbacks become tremendous potentials for maximizing athlete’s performances. 10 30 2019 2417 2421 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3002.1081219 https://www.ijitee.org/portfolio-item/L30021081219/ P.G Scholar,Dept. of Mechanical Engg., Vidya Jyothi Institute of Technology, Hyderabad, India G.Bharath raj* G.Sreeram Reddy Dept. of Mechanical Engg., Vidya Jyothi Institute of Technology, Hyderabad, India. Dr. L.Madan Ananda Kumar Dept. of Mechanical Engg., Vidya Jyothi Institute of Technology, Hyderabad, India. New Product Development (NPD) plays a major role in this fast-moving market. Depending on functionality of the product, which is existing or an unmet by considering other aspects, new product can be developed. Considering these voids in the field of construction, in the areas of logistics while there will be lots of manpower required in transporting construction goods. Considering this as the problems effecting the health and time duration of the work, this new product is designed to carry the heavy load to the top floor using less man-power and consuming less time by using a slab dolly. In this project, a designed dolly which can carry heavy loads of Marble slabs on to the top floor using normal constructed stair cases using less man power. The dolly is designed and simulated using CATIA and desired factor of safety (FOS). 10 30 2019 2464 2466 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3003.1081219 https://www.ijitee.org/portfolio-item/L30031081219/ M-Tech, Department of Computer Science And Engineering, Koneru Lakshmiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India. Preeti Reddy Meruva* Pradeepini Gera Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India. Consuming on-demand highly scalable services is a basic component of distributed computing that frees enterprise resource planning from superfluous programming or equipment conditions. While appreciating the accommodation brought by ERP innovation concept, user’s loss their belonging information because of less authentication appeared ERP servers. Remote stockpiling of clients information in Enterprise resource opens up new difficulties, for example, absence of authority over information and security. To address this issue, already a novel methodology, in particular Enterprise Business Information Accountability (EBIA) system, in view of the idea of data responsibility to monitor the genuine use of the clients' information in the Enterprise resource was proposed. Mainly this objective method applicable to provide privacy for different users with preferable operations in distributed sharing of data. Experimental results of implemented approach gives better privacy with respect to different tamperproof test users in distributed environment. 10 30 2019 2422 2425 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3005.1081219 https://www.ijitee.org/portfolio-item/L30051081219/ Assistant Professor At The Department Of E-Trade In Keimyung University, South Korea. Maidul Islam* This research paper mainly focus on how new businesses can use the Instagram platform to do their business. This research paper has interview three cases from South Korea who have used Instagram as platform for their own business and have done substantial business. It shows several examples of starting business on Instagram platform in detail & explained how these businesses approach to their potential customers and form a market through social network. This paper used interview method to collect data and interpret them to come to a conclusion. It reviews similar papers who have used Instagram as tool of marketing and conducted a qualitative research to gain data. The interview results show that Instagram has great impact not only to the business starters but to the consumers. It play greater role in linking and communicating with customers and firms rather than just a marketing tool. This research also claims that people starting business through Instagram will be able to gather information and great amount of attention from their customers with a minimum cost. 10 30 2019 2426 2428 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3010.1081219 https://www.ijitee.org/portfolio-item/L30101081219/ Professor, Department of Computer Science, School of Mathematics and Computing Sciences, Rani Channamma University, Belagavi, Karnataka, India. Shivanand S. Gornale* Pooja U. Patravali Research Scholar, Department of Computer Science, School of Mathematics and Computing Sciences, Rani Channamma University, Belagavi, Karnataka, India. Prakash S.Hiremath Professor, Dept. of Computer Science (MCA), KLE Technological University, Hubballi-580031, Karnataka, India. In this paper, the Osteoarthritis (OA) analysis in knee radiographic images using artificial neural networks (ANN) is considered. In Osteoarthritis, mobility is restricted and bones rub each other causing extreme pain in knee due to cartilage disintegration. The cartilage destruction is minimal in the initial stage of OA. It is observed that a small number of researchers have implemented identification and grading of Osteoarthritis utilizing their own datasets for experimentation. However, there is still need of automatic computer aided techniques to detect Osteoarthritis for early recognition. In this work, a dataset of 1650 radiographic images of knee joints of OA patients are collected from different hospitals and have been annotated by two different orthopedic surgeons as per the Kellgren and Lawrence (KL) grading system. To automate this grading procedure, the local phase quantization and multi-block projection profile features are computed from the images and then presented to artificial neural network to classify the images based on the KL grading of the severity of the disease. The classification accuracy of 98.7% and 98.2% with reference to surgeon-1 and surgeon-2 opinions, respectively, is achieved. 10 30 2019 2429 2434 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3011.1081219 https://www.ijitee.org/portfolio-item/L30111081219/ Research Scholar, Department of Computer Science & Engineering, PTU University, Jalandhar, Punjab, India. Amit Kumar* Sanjay Singla Department of Computer Science & Engineering Guru Gobind Singh College of Modern Technology, Kharar, Mohali, Punjab, India. Meenakshi Sharma Department of Computer Science & Engineering, Chandigarh University, Kharar, Mohali, Punjab, India. Shakti Kundu Faculty of Engineering & Computing Sciences, Teerthanker Mahaveer University, Moradabad, Uttar Pradesh, India. This paper proposes a moth-dolphin based nature inspired optimization algorithm. This algorithm embeds the communication behavior of dolphin to Moth. The Moth route towards moon through the moon light in an optimized manner. But each moth doesn’t follow optimized path to travel towards the moon. The communication among the moth enables them to follow the best path towards moon. Thus, moth-dolphin algorithm uses the communication between moths to enhance the performance. The Moth–dolphin is an optimization algorithm which uses the exploration as well as exploitation search to achieve the global optima. The performance comparison of proposed algorithm with the moth-flame optimization algorithm, modified particle swarm optimization algorithm, differential evaluation and non-dominated sorting genetic algorithm over unimodal as well as multimodal functions ensures better results. 10 30 2019 2435 2443 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3014.1081219 https://www.ijitee.org/portfolio-item/L30141081219/ Tyumen Industrial University, Tyumen, Russia. Igor Vladimirovich Izuymov* Ekaterina Vladimirovna Murzina Tyumen Industrial University, Tyumen, Russia Vladimir Jakovlevich Subbotin Tyumen Industrial University, Tyumen, Russia Vera Nikandrovna Cherepanova Tyumen State Medical University, Tyumen, Russia Juliya Zufarovna Bogdanova State Northern Trans-Urals Agrarian University, Tyumen, Russia The purpose of this work is to determine the essence of pre-trial prevention of insolvency of an economic entity, consider the content of this phenomenon, and study its use in order to prevent the existing negative consequences of insolvency proceedings in the economy. The methodological basis of the study comprises the general scientific dialectical method of cognition, which allows considering the institutions of law in the relationship, integrity, and development. Special and specific scientific methods are used: historical and legal, formal and logical, the method of comparative law. In order to achieve this result, the following more specific tasks are proposed: to determine the place of pre-trial prevention of insolvency of an economic entity within the framework of the institution of insolvency; to isolate the structure of the phenomenon of pre-trial prevention of insolvency; to determine the essence of the specific aspects of pre-trial prevention of insolvency; to analyze the features of individual procedures and develop proposals for the legal regulation of their conduct; to develop proposals to improve domestic insolvency law in order to ensure the possibility of preventing the negative consequences of bankruptcies in the pre-trial stages. Based on foreign experience, it is proposed to regulate the activities of domestic entrepreneurs in the field of pre-trial prevention of insolvency of economic entities at the legislative level. 10 30 2019 710 719 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3016.1081219 https://www.ijitee.org/portfolio-item/L30161081219/ Department of Information Technology, SSN College of Engineering, Kalavakkam-603110, India R. Rishickesh* R.P. Ram Kumar Department of Information Technology, SSN College of Engineering, Kalavakkam-603110, India A. Shahina Department of Information Technology, SSN College of Engineering, Kalavakkam-603110, India A. Nayeemulla Khan School of Computing Science and Engineering, VIT University, Chennai-600127, India Quora, an online question-answering platform has a lot of duplicate questions i.e. questions that convey the same meaning. Since it is open to all users, anyone can pose a question any number of times this increases the count of duplicate questions. This paper uses a dataset comprising of question pairs (taken from the Quora website) in different columns with an indication of whether the pair of questions are duplicates or not. Traditional comparison methods like Sequence matcher perform a letter by letter comparison without understanding the contextual information, hence they give lower accuracy. Machine learning methods predict the similarity using features extracted from the context. Both the traditional methods as well as the machine learning methods were compared in this study. The features for the machine learning methods are extracted using the Bag of Words models- Count-Vectorizer and TFIDF-Vectorizer. Among the traditional comparison methods, Sequence matcher gave the highest accuracy of 65.29%. Among the machine learning methods XGBoost gave the highest accuracy, 80.89% when Count-Vectorizer is used and 80.12% when TFIDF-Vectorizer is used. 10 30 2019 2444 2451 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3017.1081219 https://www.ijitee.org/portfolio-item/L30171081219/ CSE, Koneru Lakshmaiah Education Foundation, Guntur, India. Azmira Krishna* Zeelan basha CSE, Koneru Lakshmaiah Education Foundation, Guntur, India. Syed Karimunnisa CSE, Koneru Lakshmaiah Education Foundation, Guntur, India. Item revelation has been an unprecedented test from the past couple of years. In PC vision human face area is a basic research topic. It is required for some PC applications like HCI, perception, human-robot joint effort, etc. In this field facial following is finding greater advancement of use in security and prosperity applications to recognize distinctive situations1 . This following zone can be used to control or talk with robots. Perceiving human faces in a video is a fantastic testing issue. These setups may take after edge of view, establishment control, and diverse edifications. This is a result of high variety of setups that may occur. The multifaceted idea of the face results in a particular dimension of issue for speedy area and following. In this paper we use two philosophies for recognizing a face and track it always. In a general sense video groupings give a larger number of information than a still picture. It is reliably a testing undertaking to pursue a target thing in a live video. We experience challenges like edification; present assortment and hindrance in pre-planning stages. In any case, this is can be overpowered by disclosure of the target article unendingly in each and every edge. Face following by Kanade Lucas Tomasi computation that is used to pursue face reliant on arranged features.Automatic face detection and tracking is a challenging part and here the proposed method is improvised on that. 10 30 2019 2800 2802 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3018.1081219 https://www.ijitee.org/portfolio-item/L30181081219/ Federal State Unitary Enterprise Central Scientific Research Automobile and Automotive Institute " NAMI" (FSUE «NAMI»), Moscow, Russia. Ilya Aleksandrovich Kulikov* Ivan Alekseevich Ulchenko Federal State Unitary Enterprise Central Scientific Research Automobile and Automotive Institute "NAMI" (FSUE «NAMI»), Moscow, Russia. Anton Vladimirovich Chaplygin Federal State Unitary Enterprise Central Scientific Research Automobile and Automotive Institute "NAMI" (FSUE «NAMI»), Moscow, Russia. The article describes an approach to development and testing of a path tracking function for an autonomous vehicle. The essence of the approach consists in combining experimental data and mathematical modeling in order to simulate operation of a path-tracking regulator in real world maneuvers. The procedure can be divided into two stages. The first one implies field-testing of the vehicle under control of a human driver with logging of the essential dynamic variables including the driving trajectory. Then the obtained data is used to validate the model of vehicle dynamics being a tool for further simulations. At the second stage, a simulation is performed with tracking of the previously logged trajectory by an automatic regulator. The results of these steps allow for comparison between the human and automatic controls with assessment of pros and cons of the latter and the ways of improving its performance. The proposed approach was implemented within a research and development project aimed at building of an experimental autonomous vehicle. The article describes the obtained results as well as the experiments and the mathematical model used for implementation of the said approach. 10 30 2019 720 726 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3020.1081219 https://www.ijitee.org/portfolio-item/L30201081219/ Department of Law, Amity University Dubai, Dubai (UAE). Geetanjali Ramesh Chandra* Bhoopesh Kumar Sharma Deapartment of Forensic Sciences, Amity University Dubai, Dubai (UAE). Iman Ali Liaqat Department of Commrce, Amity University Dubai, Dubai (UAE). With the fast-paced industrial and Techni revolution, smart nations are emerging with the idea of integrating the developing technologies, like IoT and CPS, to make communications and networks easier and closely interconnected. With increasing technology usage globally, the UAE envisions transitioning into a global smart nation by innovating and deploying world class disruptive technologies for the better connectivity digitally. However, the frequency of cyber threats has also increased drastically with this ever-evolving technology. For a nation like UAE that is transforming into a digital nation at a rapid speed, while still having stakeholders with poor cybersecurity practices, UAE stands as a strong target for attacks by malicious hackers. With cyber-attacks becoming the top most concern globally, especially in the Middle East, UAE has built certain strategies to combat the evolving issue of cybersecurity. In this paper, the authors suggest that just as the collaboration of the key stakeholders – government, academics, industry and society – depicted under the Quadruple Model is needed to develop an innovative and creative nation, so is their coordination required to protect that nation from the potential cyber threats. In light of this theory, the four key stakeholders of the UAE are analyzed for their cybersecurity practices, initiatives and coordination to prove UAE’s commitment towards becoming the most cyber resilient nation in the world. 10 30 2019 2803 2809 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3022.1081219 https://www.ijitee.org/portfolio-item/L30221081219/ Department of ECE, SRMIST, Vadapalani, Chennai India. Email:skarthikvit@gmail.com S. Karthik* K. Priyadarsini Department of CSE, VISTAS, Pallavaram, Chennai India. Security in cloud has become an important issue in day to day life. As consumers store all their important data in the cloud there should be a proper security available in cloud. The small sized and medium sized industries need a testing tool which is of high cost for testing their product. These companies utilize the cloud testing tools (Testing as a Service) by saving their product in the cloud which needs to be tested. The level of security is not much higher in cloud since the product information can be easily hacked by the third parties. In this paper, to overcome the issues in authentication and Data protection in Testing as a service –Taas, iris based authentication using cryptography has been proposed. 10 30 2019 2810 2813 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3023.1081219 https://www.ijitee.org/portfolio-item/L30231081219/ Professor of Chemical Engineering, The British University in Egypt, El Shorouk City, Cairo, Egypt. Moustafa Aly Soliman* In this paper empirical formulas for the chemical equilibrium of reactions involved in urea synthesis are derived. Their accuracy is checked against data obtained from the application of Aspen plus to a urea plant based on Stamicarbon technology. The accurate results obtained support their application in the simulation of the reactions involved in urea synthesis. 10 30 2019 727 729 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3024.1081219 https://www.ijitee.org/portfolio-item/L30241081219/ Department of Electronics, University of Mysore, Mysore, India. Sundari Tribhuvanam* H. C. Nagaraj Department of Electronics, Nitte Research and Education Academy, Bengaluru-India. V.P.S. Naidu MSDF, FMCD, CSIR-NAL, Bengaluru-India. Abnormal electrical activity of the human heart indicates cardiac dysfunction. The Electrocardiogram (ECG) is one of the non-invasive diagnostic techniques to detect cardiac abnormalities. Irregularity and non-stationarity in the ECG signal impose difficulties to clinicians for accurate diagnosis of heart diseases only by visual inspection. Automatic recognition of abnormal ECG beats aids in early detection of heart diseases. This paper explores the ECG single beat analysis to identify the cardiac abnormality. In this work, seven classes of arrhythmia are considered as recommended by AAMI(Association for the Advancement of Medical Instrumentation) standard. Beat feature database is generated from 44 recordings of the MIT-BIH arrhythmia database to support the arrhythmia classification. Classification is implemented with Multiclass Support Vector Machine (SVM) for non-linearly separable data effectively. Classification accuracy up to 93% is achieved for the selected input feature sets. This work assesses the suitability of the ECG input features for multi-class classification of arrhythmia. 10 30 2019 2814 2820 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3025.1081219 https://www.ijitee.org/portfolio-item/L30251081219/ professor in Mechanical Engineering Department, Xavier University, Philippines Elmer B. Dollera* Rogelio C. Golez professor in Mechanical Engineering Department, Xavier University, Philippines Steven Don Rizal C. Ty Bachelor of Science in Mechanical Engineering(2019) in Xavier University, Philippines Joseph Philip Fernan S Bachelor of Science in Mechanical Engineering(2019) in Xavier University, Philippines Jarod V. Balo graduating student in Bachelor of Science in Mechanical Engineering in Xavier University, Philippines This study deals with the development of a polyethylene terephthalate or PET plastic shredder for Xavier University in order to reduce the transportation cost of used plastic bottles to the designated dump site some 9 kilometers uphill. The development of this 2 horsepower plastic shredder is also useful for the reduction of the volume of plastic materials in the Material Recovery Facility of the municipality of Alubijid, Misamis Oriental. Xavier University has a collection of used plastic bottles of around 365 kg per month with an aggregate volume of 17.42 m3 and until the next garbage collection services arrive, the amount of plastic waste will occupy a considerable volume or space. This study focuses on the development and testing of the capacity of the developed plastic shredder. This study is inspired by the project of Mr. Dave Hakkens, called Precious Plastic, that aims to fight plastic pollution by developing machines that aid in recycling all sorts of plastic materials. The objective of this study is to analyze the cost of developing these machines in the Xavier University setting, their cost of operation, and effectiveness through minimizing the volume of plastic bottle. In this study, only polyethylene terephthalate (PET) plastic are being used. By consultation of local manufacturing firms in developing the machines through their specialized equipment, the authors have found that cost of development is high. However, a compromise between quality and precision has been decided to reduce the overall cost of the development of the machine. The authors were able to develop the proposed machines through the application of skills in machine workshop practices in the mechanical engineering laboratory. The XU plastic shredder has an average plastic volume reduction of 82.41%. With this volume reduction, the number of trips for the garbage truck collector is also reduced by 82.41% thereby saving delivery cost and manpower requirements. The cost of power consumption of the XU Plastic Shredder is only PhP36.52 per hour. 10 30 2019 2821 2825 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3028.1081219 https://www.ijitee.org/portfolio-item/L30281081219/ Department of Master of Business Administration and PGDM, Sunstone Eduversity, Lower Ground, 006 Spring House, Grand Mall, MG Road Gurugram, Haryana 122002, INDIA,. AND, Department of Mathematics, Institute of Applied sciences and Humanities, GLA University, NH-2, Mathura-281406, INDIA. Jitendra Kaushik* Ashish Sharma Department of Mathematics, Institute of Applied sciences and Humanities, GLA University, NH-2, Mathura-281406, INDIA. Deterioration rate may be constant or varies with time. In real life time dependent deterioration is observed in many products like fruits, bakery products, milk products etc. Generally deterioration rate increases as the time passes. In this paper we present an inventory model for the trapezoidal type demand function and time dependent deterioration rate. Demand rate depends on time as well as price. Shortages are allowed with partial backlogging. In order to illustrate solution procedure numerical examples and sensitivity analysis have been demonstrated. 10 30 2019 2826 2834 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3029.1081219 https://www.ijitee.org/portfolio-item/L30291081219/ Department of Electronics and Telecommunication, Government College of Engineering, Amravati/ Sinhgad Academy of Engineering, Pune, India. Vishal D. Bharate* Devendra S. Chaudhari Department of Electronics and Telecommunication, Government College of Engineering, Jalgaon, Jalgaon, India. Mayur D. Chaudhari Data Architect, Parkar Labs, Pune, India. The social interaction of human beings is many times influenced by non-verbal communication, especially facial expressions. In societal life face of a human being is mostly observed by surrounding people to know the inner feelings. Thus, face forms a significant source of expressing human emotions, typically categorized into surprise, anger, fear, disgust, sad and happy. In the variety of behavioral science fields, emotion recognition has a significant role to play. The present paper describes a system in which preprocessing is performed by median filtering. Before extracting features, the watershed segmentation is applied to get the required characteristics of an image. In this paper, the Gamma based Feature Extraction (GFE), Local Binary Pattern (LBP) and Histogram of Oriented Gradients (HOG) technique have been used for feature extraction. The LBP algorithm is additionally tested with and without application of gamma correction using GFE. Two classifiers, namely kNN and SVM, have been employed, and their performance is compared. kNN and SVM, being supervised classifiers, can aid in better accuracy with proper training. 10 30 2019 2835 2840 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3030.1081219 https://www.ijitee.org/portfolio-item/L30301081219/ Department of Production Engineering, Veer Surendra Sai University of Technology, Sambalpur, Odisha, India. S. K. Sahu* N. K. Kund VSSUT Burla, Odisha, India. Hastelloy C276 is investigated for dry sliding wear against an EN 31 stainless steel (hardness 60 HRC) at 298 K. The tribological properties such as frictional force, coefficient of friction and the wear rate on the material surface at different sliding distance are examined under different loading conditions. In the dry wear test at 40 N load, the wear rate increased by 300% as compared to 10, 20, 30 N loading conditions. The experimental results indicated reduction in coefficient of friction values and thus an increase in the frictional force with the increase in normal load. SEM images of worn out surfaces confirm that the delamination and adhesion causes the material removal from the surface in dry sliding. Further, the analysis of the hardness characteristics of worn out surfaces shows surface hardening during sliding wear process under 40 N loads. 10 30 2019 2841 2845 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3031.1081219 https://www.ijitee.org/portfolio-item/L30311081219/ Research Scholar at the Department of Management Studies, CHRIST Sridevi Nair* Dr. Jain Mathew Human Resource Department of Management Studies, CHRIST The term ‘gamified’ has been applied to a large number of processes in the organization. Marketing professionals have attempted to gamify customer experiences, while human resource managers have attempted to gamify employee processes like recruitment and onboarding. Being a powerful driver for goal-oriented behavioural change, gamification has the potential to revolutionise the way people work, collaborate, and develop. However, the application of gamification has met with limited success in the organization. Researchers have attributed this lack of success to incomplete understanding of the concept. The current study reviews literature in the area of Gamification in an attempt to arrive at a conceptual model explaining how gamification drives learning. The model proposed in this study is simple and draws from key theories related to Learning and use of technology. The purpose of the review is to provide a base for future researchers and a basic understanding for practitioners attempting to introduce gamified learning. 10 30 2019 2846 2851 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3032.1081219 https://www.ijitee.org/portfolio-item/L30321081219/ Industrial Engineering Department, College of Engineering, University of Business and Technology, Jeddah, Saudi Arabia. Ramiz Assaf* This work represents the research, analysis, and recommendation of a study that examined how wastewater treatment plants in the National Water Company in Jeddah workers get exposed to diseases in those environments which later affects their health and performance. The work carried out enables the company to evaluate how the most important risk is that of the employees contracting hepatitis A. In this case, the research was carried on 300 workers on National Water Company in Jeddah who works in these plants. The research study method or design used was an epidemiology perspective cohort study. All these workers had a similar characteristic which was the work environment but differed in various factors such as age, gender, and family history. The aim of the prospective cohort study was to see how workers safety is an issue, how the disease affects the performance of the workers and the cost side as well as how the Human Recourse department finds it hard in finding new employees. In this regard, it is important to note that preventing the disease is considerably more cost-efficient for the company that has to pay for the medical treatment of the sick employees and hire new employees that will perform the work of those sick while they recover. The report ends with both engineering and health recommendations that should be put in place to curb all the issues that wastewater brings to the workers. 10 30 2019 2852 2856 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3033.1081219 https://www.ijitee.org/portfolio-item/L30331081219/ Research Scholar, School of Management, Kalinga Institute of Industrial Technology, Deemed to be University, Bhubaneswar, Odisha, India. Mr. Yimer Ayalew Ahmed* Dr. Brajaballav Kar Associate Professor, School of Management, Kalinga Institute of Industrial Technology, Deemed to be University, Bhubaneswar, Odisha, India. Ethiopia, as a developing country has a higher level of youth unemployment combined with a higher level of growth in the economy, in the recent past. In Ethiopia, the youth entrepreneurship has been regarded as a tool for employment creation. However, the country is faced with the challenge of high youth unemployment rates. Still, the country is one of the lowest rates of youth entrepreneurial activity and business survival in the sub-Saharan African region. This research is supposed to fill the gaps by investigating the major effect of demographic variables with youth owned business performance. Further, the research employed both a descriptive survey and exploratory research design with a sample size of 350 youth entrepreneurs. The results obtained from a multiple regression model indicate that age, educational level and prior work experience of the youth entrepreneur were found to be positive and significantly important in explaining the perceived business performance. The implications of this study are that specific policy measures are necessary to encourage the many well trained but unemployed young people to engage in businesses. Additionally it also implies that specific training programmes are necessary to equip the practitioners with necessary theoretical and practical capacities to enhance performance of their firms. 10 30 2019 2857 2862 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3034.1081219 https://www.ijitee.org/portfolio-item/L30341081219/ Assistant Professor, Department of Civil Engineering, Government Engineering College, Thanjavur, Tamilnadu, India. Kavimani. T* Senthilkumar. PL Assistant professor, Department of Civil Engineering, Government College of Engineering, Thanjavur, India The textile dye wastewater removal in the environment is a greater problem by its harmful reasons. Dyes which obstruct the penetration of light leads to damage the quality and produce the poisonous effect in the aquatic ecosystem. Several studies were proved that the physicochemical methods were employed for treating the textile dye wastewater. Hence the biological processes are employed for treating the textile dye wastewater due to its cost effectiveness and less toxic effects. Bio filter can be an effective solution for producing high quality water and saving water for recirculation. In this article fujino spirals were mainly focusing as media in the reactor and operated at a hydraulic retention time (HRT) of 24h. The purpose of this study to analysis the overall performance of the UASBR which is achieved the maximum COD removal at 24hrs HRT respectively. From this study results, percentage of COD removal is directly related to the HRT. Hence the UASBR is suitable for treating real textile dye wastewater even upto 1000mg/l efficiency. 10 30 2019 3178 3181 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3044.1081219 https://www.ijitee.org/portfolio-item/L30441081219/ dept. of E.E.E, SVUCE, S.V.University, Tirupati, India Sabarinath. G* Dr.T.Gowri Manohar dept. of E.E.E, SVUCE, S.V.University, Tirupati,India Dr.A.V.Sudhakara Reddy Department of EEE, Malla Reddy Engineering College (A), Maisammaguda-500100, Hyderabad, India. Distributed generation (DG) units can provide many benefits when they are incorporated along the distribution network/system. These benefits are more if DG units are connected at suitable nodes with appropriate rating otherwise, they may cause to increased power loss and poor voltage profile. In this work, optimal allocation (both location and size) problem is solved by considering power loss minimization as an objective function. An analytical method “index vector method (IVM)” is applied to find DG location. A new optimization algorithm “Whale Optimization Algorithm (WOA)” is employed to determine the DG rating. Two popularly known test systems “IEEE 33 & IEEE 69”bus systems are used to evaluate the efficacy of IVM and WOA. 10 30 2019 2863 2867 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3047.1081219 https://www.ijitee.org/portfolio-item/L30471081219/