-74813b3e17f460286df2a7e 20220714073112933 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 11 30 2019 9 1 Department of Computer Science and Engineering ,SRM Institute of Science and Technology Sharmila Agnal* Rakshit Baranwal Department of Computer Science and Engineering ,SRM Institute of Science and Technology Sai Krishna Department of Computer Science and Engineering ,SRM Institute of Science and Technology Varun Kumar Rai Department of Computer Science and Engineering ,SRM Institute of Science and Technology Aviraj Gupta Department of Computer Science and Engineering ,SRM Institute of Science and Technology Sentimental Analysis is to learn about opinion of the consumer that analyzes the understanding of a person or crew of people about a product and present day trends. This task pursuits to learn about the thoughts in a text that leads to a sentimental evaluation by imposing an algorithm to classify opinion. The algorithm that has been used is applied the use of R Language. Social media is one of the biggest elements that we stay with. Twitter is one of the social media that is in the public eye. The undertaking intends to design a sentimental evaluation by using extracting a huge number of tweets. Sentimental Analysis is then employed on this data, which recognizes and distinguishes the wonderful and bad critiques from the impartial tones on the involved topic. This model even extracts the information from newspaper blogs. The data mentioned about any subject matter in the newspaper blogs is precise. The records retrieved from the blogs are additionally analyzed and opinion is acquired. Using this model we gain the most excellent notion. 11 30 2019 1901 1904 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4365.119119 https://www.ijitee.org/portfolio-item/A4365119119/ Department of Mechanical Engineering, Papua New Guinea University of Technology, Lae, Papua New Guinea. Peter Oyekola Aezeden Mohamed* Department of Mechanical Engineering, Papua New Guinea University of Technology, Lae, Papua New Guinea. John Pumwa Department of Mechanical Engineering, Papua New Guinea University of Technology, Lae, Papua New Guinea. After prolonged usage of materials, the formation of cracks and corrosion initiates due to stress, loading condition, the environment of operation, etc. and this affects the structural integrity of structures. Periodic inspection of structures is usually planned, especially in industries where the impact of failure could be devastating, such as oil and gas pipelines, storage tanks, vessels, and airplanes, etc. which are just a few amongst others. This inspection is often aimed at detecting cracks and corrosion of internal and external components using several forms of non-destructive testing mechanism usually performed by a specialist at a high rate. To reduce the cost of inspection as well as downtime due to inspections and maintenance, deployments of mobile robots with fault tracking and identification purpose are steadily increasing. This paper, therefore, details the implementation of an image processing technique using MATLAB to identify defects of structural elements. 11 30 2019 862 867 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4367.119119 https://www.ijitee.org/portfolio-item/A4367119119/ Assistant Professor, Department of CSE, Dr. M.G.R. Educational and Research Institute, Chennai, India. Dr. S. Ismail Kalilulah* Dr. B. Justus Rabi Department of Electrical and Electronics Engineering, M. S. University, Tamil Nadu, India. Ms. Vidhya V Assistant Professor, Dr. M.G.R. Educational and Research Institute, Chennai, India. MANETs are vigorous network to obligate node links due to the wireless frequency affect the network performance. It evaluates the link constancy by redefining the link availability that connected throughout a specific time period. MANETs have an identical status to acquaintance by the node resources with any other network. In this work, network is able to deal with vital reform that competent, consistent, and accessible network to perform enhance network protocol along with data security. AODV network nodes need connections broadcast forward the message that requested a connection that create a series of impermanent routes back to the requesting node. In this work, a link state protocol is calculated an alternative and fragmented path from source to destination by re-routing traffic through it, regardless of the locations of failure and the number of failed links. Also, the purpose of this research work is to provide secure bit data networking and occupy bit-memory address to enhance the node data capacity size, hence it reduces packets loss, delay time, and improve throughput when re-join the nodes while failure. OLSR generate a control overhead to maintain routing table to consume data traffic bandwidth. This study reduces the control overhead to improve the performance of OLSR by optimizing control messages intervals to have enhanced and secure data transmission. In this work, a secure and reliable bit-data is presented which have a memory address search process between two data address as simulated in this work. 11 30 2019 492 497 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4368.119119 https://www.ijitee.org/portfolio-item/A4368119119/ Department Of MCA, Ajay Binay Institute of Technology, Cuttack, India. Suman Sourav Prasad* Jyoti Prakash Mishra Computer Sc.&Engg. Department, Gandhi Institute for Education and Technology, Baniatangi, Bhubaneswar, India. Sambit Kumar Mishra Computer Sc. &Engg. Department, Gandhi Institute for Education and Technology, Baniatangi, Bhubaneswar, India. In the present situation, it may be essential to build a simple data sharing environment to monitor and protect the unauthorized modification of data. In such case, mechanisms may be required to develop to focus on significant weakened networking with proper solutions. In some situations, block chain data management may be used considering the cloud environment. It is well understood that in virtual environment, allocating resources may have significant role towards evaluating the performance including utilization of resources linked to the data center. Accuracy towards allocation of virtual machines in cloud data centers may be more essential considering the optimization problems in cloud computing. In such cases, it may also be desirable to prioritize on virtual machines linked to cloud data centers. Consolidating the dynamic virtual machines may also permit the virtual server providers to optimize utilization of resources and to focus on energy consumption. In fact, tremendous rise in acquiring computational power driven by modern service applications may be linked towards establishment of large-scale virtualized data centers. Accordingly, the joint collaboration of smart connected devices with data analytics may also enable enormous applications towards different predictive maintenance systems. To obtain the near optimal as well as feasible results in this case, it may be desirable to simulate implementing the algorithms and focusing on application codes. Also, different approaches may also be needed to minimize development time and cost. In many cases, the experimental result proves that the simulation techniques may minimize the cache miss and improve the execution time. In this paper, it has been intended towards distribution of tasks along with implementation mechanisms linked to virtual machines. 11 30 2019 1524 1527 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4371.119119 https://www.ijitee.org/portfolio-item/A4371119119/ Assistant Professor, FCAIT, GLS University. Nirav J. Suthar* Dr. Ankit R. Bhavsar Assistant Professor, FCAIT, GLS University. Wild animals are the ecosystem's main link. Wildlife is important to humans because it maintains a balance between the active environment and biotic factors. It plays an important role in making the various natural processes of nature stable. The tradition of protecting wildlife species and their ecosystems is wildlife conservation. In India the Asiatic lion is the wild animals species which has lowest population in the world. The government established Gir National Park to protect the Asiatic lion and start various programs through in which the population of Asiatic lion should increase. Even other such programs this wild animals faces lots of problem in the national park. This paper addresses the wild animals in India relevant issues and concerns. After the problems we have found, we have suggested a potential solution to these problems. The system uses the Wireless Sensor Network (WSN) platform. This shows how WSN can be seamlessly integrated into the wildlife habitats / national park located in India to enhance the wildlife design. 11 30 2019 1101 1105 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4372.119119 https://www.ijitee.org/portfolio-item/A4372119119/ Department of Master of Technology in Computer Science and Engineering, Institute of Engineering and Technology Chitkara University, Punjab, India. Sakshi Kapoor* Rabina Verma Department of Master of Technology in Computer Science and Engineering, Sri Sai College of Engineering and Technology (SSCET), Badhani, Pathankot, Punjab, India. Surya Narayan Panda Chitkara University Institute Of Engineering and Technology Chitkara University, Punjab, India Chronic Kidney Disease (CKD) mostly influence patients suffered from difficulties due to diabetes or high blood pressure and make them unable to carry out their daily activities. In a survey , it has been revealed that one in 12 persons living in two biggest cities of India diagnosed of CKD features that put them at high risk for unfavourable outcomes. In this article, we have analyzed as well as anticipated chronic kidney disease by discovering the hidden pattern of the relationship using feature selection and Machine Learning classification approach like naive Bayes classifier and decision tree(J48). The dataset on which these approaches are applied is taken from UC Irvine repository. Based on certain feature, the approaches will predict whether a person is diagnosed with a CKD or Not CKD. While performing comparative analysis, it has been observed that J48 decision tree gives high accuracy rate in prediction. J48 classifier proves to be efficient and more effective in detecting kidney diseases. 11 30 2019 498 501 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4377.119119 https://www.ijitee.org/portfolio-item/A4377119119/ Department of Computer Science and Engineering, Periyar Maniammai Institute of Science & Technology, Thanjavur, India. M. Sundarrajan* A.E. Narayanan Department of Computer Science and Engineering, Periyar Maniammai Institute of Science & Technology, Thanjavur, India. Internet of Things (IoT) has become one of the most important fields of research as it plays a vital role in performing an assigned task with various smart devices. These connected devices work together to achieve a common goal. Numerous researchers have been working in various sectors of IoT for obtaining a betterment in the entire function of an IoT environment. Securing the data being transmitted or stored in these smart devices in one of the major fields of research. Some of the security challenges faced in an IoT environment are in the areas of user authentication, user privacy, access control, information confidentiality, trust, mobile security and policy enforcement. To overcome all these challenges. In this paper, we have proposed a system called AMES (Advanced Multiple Encryption System) which also secures the overall communication of the network. The paper briefs an overview of an IoT environment, consisting of some hackers where the user connection with the controller is blocked without the presence of integrity and confidentiality. The paper also discusses the various security benefits of RSA and SHA. The proposed AMES system is based on Hardy Wall Algorithm and MQTT protocol. The differentiation of the proposed protocol and HTTP protocol is stated clearly The experimental results are obtained for the proposed authentication scheme using NS3 simulator by showing the comparison between existing hybrid security system with our proposed authentication system. The results also state that the designed AMES authentication system using MQTT protocol can minimize the level of security threats and other complications in transmission of the data in IoT environment. 11 30 2019 868 874 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4378.119119 https://www.ijitee.org/portfolio-item/A4378119119/ Lecturer at the department of Computing Technology, College Engineering and Technology, Aksum University Affiliated University, Aksum University, Tigray, Ethiopia Dawit Teklu Weldeslasie* Mehamed Ahmed PhD research scholar, Faculty of Engineering and Technology / IT Department, PIET, Affiliated University, Aksum University, Tigray, Ethiopia Ethiopia is among the African countries that are following stereotype of Agricultural Development Led Industrialization (ADLI). In fact, textile and garment sector is the second largest manufacturing industry that plays a significant role in the development of Ethiopian economy. However, the textile and garment sector is still in its embryonic stage and the production quality is rather poor, even when compared with other developing countries. In light of this, the researchers argued that the Ethiopian textile and garment sector is not competitive. Behind the low performance of the Ethiopian textile and garment industry, there is also lack of specialized and experienced man power. Therefore, unless a technological improvement of the industry is undertaken, it may not be able to achieve the set objectives The researchers assess the need and application of expert systems in the textile and garment industries. They had also assessed the training programs of both textile and garment industries. As a result, textile and garment industries have not yet applied an expert system, and they have also limited training programs. Therefore, specific training on defect detection is required. In an effort to address such problem, this study recommends to integrate expert system for defect detection of textile faults by designing and developing a prototype. The findings of this research showed 91% (the highest percentage) of the industry workers agreed that a prototype system which considers employee needs shall be constructed. So, the result of this research becomes an input for the prototype system development. Therefore, researches encourage textile and garment industries to implement expert systems. 11 30 2019 4744 4749 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4381.119119 https://www.ijitee.org/portfolio-item/A4381119119/ Department of Computer Science, Dr.G.R.Damodaran College of Science, Coimbatore, India. R. Jeevitha* Dr. N. Sudha Bhuvaneswari Department of Computer Science, Dr.G.R.Damodaran College of Science, Coimbatore, India. Researchers found that Internet Protocol Version 6 (IPv6) can be considered since it is the important communication protocol for internet access during driving, location privacy in Vehicular Adhoc Networks (VANET). TCP/IP allows devices to interact online. A unique IP address allows each device to communicate with each other over the internet. From the desktop computers to tablets, to PS4s, to mobile phones, to cars, to airplanes, to IP enabled washers and dryers, lot of things will be connected online. It needs a lot more addresses than that are available today. IPv6 was created in the mid-’90s to make the internet grow. It is not backward compatible with IP version 4, but both IPv4 and IPv6 protocols can run simultaneously over the same wires. This requires a transition from IPv4 to IPv6 and vice-versa. The IPv6 layer is a vital issue in the field of Intelligent Transportation System (ITS). The vehicles possess heterogeneous devices like sensors, Global Positioning System (GPS), IPv4 addressing and IPv6 addressing. IPv4 addresses are depleting and IPv6 addressing came into existence. When the Road Side Unit (RSU) communicate with gateway and with vehicular cloud using IPv4 and IPv6 addressing, compatibility issues occur. This paper mainly focuses on the IPv4/IPv6 compatibility issues and the possible solutions to overcome the compatibility issues during the dissemination of data in VANET. 11 30 2019 4670 4675 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4382.119119 https://www.ijitee.org/portfolio-item/A4382119119/ Department of Mathematics, Sathyabama Institute of Science and Technology, Chennai, India. R. Delhi Babu* V. Yuvaraj Department of Mathematics, Sri Sairam Institute of Technology, Chennai, India. S. Hemanth Kumar Department of Mathematics, Sri Sairam Engineering College, Chennai, India. In this article manages the issue of stable electrically lead laminar progression of a gooey incompressible liquid stream associating two parallel permeable plates of a divert in the event of a transverse attractive field through base infusion and top suction. Dependable vertical stream is made and controlled by a weight slope. Vertical speed is enduring everywhere in the field stream. It implies v=vw=constant. Answer for little and huge Reynolds number is talk about and the diagram of speed profile for stream including parallel permeable plate with base infusion and top suction through a rakish speed Ω has been considered. 11 30 2019 1528 1530 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4383.119119 https://www.ijitee.org/portfolio-item/A4383119119/ Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India. Angeline R* Riddhi Dutta Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India. Rajesh Kumar Yadav Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India. Mohit Sharma Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India. Password authentication system is a very important factor for every system which needs to be secure. Every password is easy to crack and people are looking for a strong password to their systems. Here we use a password authentication system that is designed for high security and could be easily put into old system. In our frame work we are using cryptographic representation for converting location point into coordinates. Our primary aim is to prevent hacking through all kinds of brute force algorithms. It is concerned with including client’s geographical location as an important authentication factor to enhance security. Techniques to integrate location as an authentication factor as well as techniques to generate location based cryptographic keys are reviewed and discussed .Most importantly our system combine graphical user authentication and location coordinates .Existing system was vulnerable to dictionary attack algorithm and salt data algorithm ,so efforts are been taken to generate non repeatable graphical user interface system using coordinates . 11 30 2019 1531 1535 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4384.119119 https://www.ijitee.org/portfolio-item/A4384119119/ SRM Institute of Science and Technology ,Ramapuram Chennai, India. J. Gowthamy* A. Vidhyavani SRM Institute of Science and Technology ,Ramapuram Chennai, India. M.P.Shaam Kumar SRM Institute of Science and Technology ,Ramapuram Chennai, India. M.Dhanush Kumar SRM Institute of Science and Technology ,Ramapuram Chennai, India. This paper proposes an application of a self-Learning anomaly detection framework in Deep-learning. In this application, both hybrid unsupervised and supervised machine learning schemes are used. Firstly, it takes metadata of the unsupervised data clustering module (DCM). Data clustering module (DCM) analyses the pattern of the monitoring data and enables the self-learning capability that eliminates the requirement of the prior knowledge of the abnormal network behaviors and also has the potential to detect the unforeseen anomalies. Next, we use the self-learning mechanism that transfer pattern learned by the DCM to a supervised data regression and classification module (DRCM) it’s Complexity is mainly related to scalability of supervised learning module. It is more measurable and less time consuming for online anomalies by avoiding excessively usage of the original dataset. It has a density-based clustering algorithm and deep learning, neural network structure-based DCM and DRCM. We are also using an anti-spoofing-based approach for presentation attack detection (PAD). In these approaches, we are mainly detecting a person reidentify and computing without having any false anomalies. 11 30 2019 1106 1109 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4385.119119 https://www.ijitee.org/portfolio-item/A4385119119/ DOMS, SRMIST, Chennai, India. Kiruthiga. V* Colour is a phenomenon that is stimulated by light. It is considered as a source of information. Generally it has been observed that 62-90 per cent of the assessment of people or object is through colour, as it paves way in making judgment within 90 seconds. Product colours not only help in differentiating it from the competitors but also in influencing the people mood in a positive and negative aspect. Colour plays a major role in influencing people emotion and mood because generally the mood of people is unstable. Colour helps in influencing the attitude of the customers. Marketers should select the right colour as it results in enormous sales. The consumer behavior is dynamic and although many factors influence the food choices, colour also plays a crucial role in influencing the purchase. The study was conducted to study the impact of colour on the food choices of people across the Chennai city. Primary data was collected through questionnaire and analysed using statistical tool. Results indicate that colour helps identifying the flavor of the food correctly. 11 30 2019 1110 1111 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4386.119119 https://www.ijitee.org/portfolio-item/A4386119119/ Formerly Research Scholar, B.M.S. College of Engineering, Bangalore-560 019 Presently, Senior Environmental Consultant K. R. Sree Harsha* L Udayasimha Professor, B.M.S. College of Engineering, Bangalore Dharmaparkash Professor, B.M.S. College of Engineering, Bangalore Dinesh Rangappa Dean Centre for Nanoscience VTU Regional Campus muddenahalli Suchetha Environmental Engineer,Bangalore The study reports application of activated carbon coated with TIO2 nanoparticles to remove Copper from wastewater. The TiO2 nanoparticles are synthesized using sol-gel process and are coated on Granular Activated Carbon (GAC) using Bisphenol resin as adhesive. The synthesized composite material is characterized by X-ray diffraction (XRD) and scanning electron microscopy (SEM). Column experiments are conducted to investigate removal of copper from industrial effluent by varying flow, height and mass of adsorbent. Results showed decrease in the heavy metal and sorption is well explained by Thomas model. 11 30 2019 4514 4518 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4391.119119 https://www.ijitee.org/portfolio-item/A4391119119/ Research Scholar, SRMS CET, AKTU Affiliated, Bareilly, India Nayla Sherwani* Shahjahan Ali Asstt. Professor, SRMS CET, AKTU Affiliated, Bareilly, India. MANET is a cluster of nodes that are mobile which transfer the packet within a limited transmission range. It is decentralized and infrastructure less wireless network. Due to host mobility requirement for a robust dynamic routing protocol is needed, since a random and dynamic difference in the network topology is there. This paper presents a performance analysis between two routing protocols AODV and DSR. In terms of throughput, PDR and delay both protocols AODV and DSR is compared. 11 30 2019 4103 4105 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4397.119119 https://www.ijitee.org/portfolio-item/A4397119119/ HOD, Department of Sociology in NEF College, Guwahati, Assam, India. Dr. Rinku Borah* In medical profession, most of the women doctors are interested to confine themselves in some less risky and less time consuming specialities. Though there are various technological innovations are going on in medical field, they are underrepresented in most surgical fields, with the exception of obstetrics and gynaecology. In this study, researcher has made an attempt- 1. To find out the specialization of women Doctors in Govt. Hospitals of Assam 2. To examine the factors behind their choice of specialization. This study has been conducted in four district of upper Assam, i.e., Dibrugrah, Jorhat, Sivasagar and Golaghat. This study is based on both primary and secondary data. For collection of primary data, two methods were used, i.e. Observation and Interview. Findings of the study reveal that most of the women doctors were keen to engage themselves especially in non-clinical and Para-clinical speciality. Various technological inventions in medical science have no effects in their choosing of particular specialization. 11 30 2019 1536 1541 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4398.119119 https://www.ijitee.org/portfolio-item/A4398119119/ M. tech Student, Department of CSE, SRKR Engineering College affiliated to JNTU Kakinada, Bhimavaram, AP, India. Kambhampati Kalyana Kameswari* J Raghaveni Assistant Professor of Computer Science and Engineering, SRKR Engineering College affiliated to JNTU Kakinada, Bhimavaram, AP, India. R.Shiva Shankar Assistant Professor of Computer Science and Engineering, SRKR Engineering College affiliated to JNTU Kakinada, Bhimavaram, AP,India. Ch. Someswara Rao Assistant Professor of Computer Science and Engineering, SRKR Engineering College affiliated to JNTU Kakinada, Bhimavaram, AP, India. In today’s world, people are usually using social media networks for trying to communicate with other users and for sharing information across the world. The online social networking sites have become considerable tools and are providing a common medium for a number of users to communicate with each other. Twitter is the most prominent microblogging website and one among the social networking sites that grow on a daily basis. Social media incorporates an extensive amount of data in the form of tweets, forums, status updates, comments, etc. in an attempt to automatically process and analyze these data, applications can rely on analysis approaches such as sentiment analysis. Twitter sentiment analysis is an application of sentiment analysis on data from Twitter (tweets), to obtain user's opinions and sentiments. Natural Language Toolkit (NLTK) is a library based on machine learning methods in python & sentiment analysis tool. Which provides the base for text processing and classification? The research work proposed a machine learning-based classifier to extract the tweets on elections and analyze the opinion of the tweeples (people who use twitter). The tweets can be categorized as positive, negative and neutral towards a particular politician. We classify these processed tweets using a supervised machine learning classification approach. The classifier used to classify the tweets as positive, negative or neutral is Naive Bayes Classifier. The classifier is trained with tweets bearing a distinctive polarity. The percentage of positive and negative tweets is then measured and graphically represented. 11 30 2019 4519 4529 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4399.119119 https://www.ijitee.org/portfolio-item/A4399119119/ Dept. of Computer Engineering, Jamia Millia Islamia, New Delhi -India. Faiyaz Ahmad* Yassar Dept. of Computer Engineering, Jamia Millia Islamia , New Delhi India. Amreen Ahmad Dept. of Computer Engineering, Jamia Millia Islamia, New Delhi -India In today world, there is a huge amount of information is growing every day on the internet and from many other sources and there is lots of textual information in it. To find out the relevant information from this large amount of data, we need an automatic mechanism that will extract the useful data. Such automatic systems are automatic summarization systems. They categorized into extractive and abstractive summarization system. Extractive summarization systems select the important sentences directly from the large document and put into summary whereas abstractive methods understand semantic meaning of the document by linguistic method to interpret and examine the text. In the purposed method, a statistical approach is used where multiple criterions or features are discussed to calculate the score for every sentence and then SIR (Susceptible Infected Recovered) model is used to compute the dynamic weight for every feature. After dynamic weight computation, weighted TOPSIS (The Technique for Order of Preference by Similarity to Ideal Solution) is used for multi-criterion analysis and aggregation. This method is fully implemented and integrated for automated textual document summarization system. 11 30 2019 2486 2491 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4400.119119 https://www.ijitee.org/portfolio-item/A4400119119/ Research Scholar (Part-Time), Yogi Vemana University, YSR Kadapa, Andhra Pradesh, India. Shaik Abdul Mazeed* Dr. Ravi Prakash Kodumagulla Professor of Marketing, Vishwa Vishwani School of Business, Hyderabad, Telanagana, India. Social media marketing has become an inseparable part of human life. It allows customers and prospects to communicate directly about various products/services with their friends. This is just a replacement of word of mouth, which place a vital role and cheapest way of promoting product in traditional marketing. The other important and unique feature of social media marketing is immediacy, which allows the customers to approach directly with the business people. Indeed it is helpful to both business people and customers as they can get the solutions with in no time unless it is a big damage. With the process, business people can maintain a sound relationship with the customers very easily as they are responding to their queries instantly. It is nothing but customer relationship management. It is another pivotal element in marketing. All these features will influence the customers a lot in making their purchase or buying decisions. Customer behavior is the study of when, why, how, and where people do or do not buy product. It blends elements from psychology, sociology, social anthropology and economics. It attempts to understand the buyer decision making process, both individually and in groups. The customer purchase intention is an evergreen marketing concept despite ample research has been done on the topic over last few decades. It would be an exaggeration, if we say without covering this concept no marketing text book will complete, that’s the significance of this particular concept. One cannot imagine a marketing book without finding a concept of customer purchase intention. Usually a customer purchase intention will be influenced by a set of internal and external factors like social, economical or financial, cultural, demographic, psychological and of course personal factors. In this day and age, online marketing, social media marketing, digital marketing are buzz words and strongly influencing the customer behavior and in making purchase decisions subsequently. 11 30 2019 2107 2109 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4402.119119 https://www.ijitee.org/portfolio-item/A4402119119/ School of Mechanical & Civil Engineering, Shoolini University, Solan, India. Robin Thakur* Sunil Kumar School of Computer- Science & Electrical Engineering Shoolini University, Solan, India. Kamal Kashyap School of Mechanical & Civil Engineering, Shoolini University, Solan, India. Ashwani Sharma School of Computer- Science & Electrical Engineering Shoolini University, Solan, India. Sorabh Aggarwal School of Mechanical & Civil Engineering, Shoolini University, Solan, India. Hydro turbine machineries erosion due to silt is a complex issue for the effective practice of hydropower plants. Erosion caused by silt of the Pelton turbine buckets is a compound phenomenon that depends on size of silt particles , silt particles concentration , velocity of jet , and working time . This paper deals with the influence of silt erosion for various silt loaded factors and effective parameters. The preference selection index (PSI) and technique for order of preference by similarity to ideal solution (TOPSIS) approaches has been adopted to find optimal set of parameters which offers the highest performance for the Pelton turbine. Based up on the results obtained from both PSI and TOPSIS approaches it is found that optimal performance has been provided by A-1 alternate with geometric and flow parameters as , , and respectively. 11 30 2019 2418 2428 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4408.119119 https://www.ijitee.org/portfolio-item/A4408119119/ Research Scholar, Department of Civil Engineering, UVCE, Bangalore University, Bangalore, Karnataka, India. Mohammed Badiuddin Parvez* Amritha Thankachan Research Scholar, Department of Civil Engineering, UVCE, Bangalore University, Bangalore, Karnataka, India. Chalapathi k Research Scholar, Department of Civil Engineering, UVCE, Bangalore University, Bangalore, Karnataka, India. M . Inayathulla Professor, Department of Civil Engineering, UVCE, Bangalore University, Bangalore, Karnataka, India. The IDF Curves accessible are for the most part done by fitting arrangement of yearly greatest precipitation force to parametric dispersions. Intensity-duration-frequency (IDF) curves represent the relationship between storm intensity, storm duration and return period. Environmental change is relied upon to intensify the boundaries in the atmosphere factors. Being prone to harsh climate impacts, it is very crucial to study extreme rainfall-induced flooding for short durations over regions that are rapidly growing. One way to approach the extremes is by the application of the Intensity-Duration-Frequency (IDF) curves. The annual maximum rainfall intensity (AMRI) characteristics are often used to construct these IDF curves that are being used in several infrastructure designs for urban areas. Thus, there is a necessity to obtain high temporal and spatial resolution rainfall information. Many urban areas of developing countries lack long records of short-duration rainfall. The shortest duration obtained is normally at a daily scale/24 h. Thus, it is very crucial to find a methodology to construct IDF curves for short-duration rainfall (sub-daily) for these urban areas. The fast extension of urban area that does not have adequate preparedness to cope with climate change is certainly a big risk to life and economy. The study region lies in Karnataka India. The sub-daily IDF curves for current and future climate for the region were constructed from 1 to 24 h based on the Normal Distribution approach. Rainfall data of 23 (Twenty three) hydrological years of all stations were used. Maximum rainfall frequency analysis was made by Normal Distribution method. Finally Equations were developed for different return periods. 11 30 2019 4480 4502 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4410.119119 https://www.ijitee.org/portfolio-item/A4410119119/ Department of Mechanical Engineering, Papua New Guinea University of Technology, Lae, Papua New Guinea. Peter Oyekola* Aezeden Mohamed Department of Mechanical Engineering, Papua New Guinea University of Technology, Lae, Papua New Guinea. John Pumwa Department of Mechanical Engineering, Papua New Guinea University of Technology, Lae, Papua New Guinea. Recently, much attention has shifted to a renewable source of energy, as depletion of existing source hovers significantly. The wind turbine has become one of the preferred alternatives of power generation as it poses less risk as well as its economic and environmental benefits, which has prompted renewed effort in designing the optimum system. This work details the operation of a horizontal axis wind turbine along with the complexities of various parts, for example, streamlined transformation, drive train, and generator representation. Additionally, the conditions portraying its dynamic conduct were successfully simulated using MATLAB/SIMULINK, which is necessary to understand its behaviour over specific regions of operations, which differs significantly. The result of this modelling helps in the development of a comprehensive controlling algorithm to aid the performance of the system. This project, therefore, entails the design of a suitable wind energy conversion framework used as an independent, stand-alone energy generator for remote communities in Nigeria. The result of this modelling will be useful in designing better-performing turbines at a reduced cost to ensure economic viability. 11 30 2019 875 880 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4411.119119 https://www.ijitee.org/portfolio-item/A4411119119/ PhD, Research Scholar, Department of Assamese, Dibruhgarh University, Assam, India. Puspanjali Hazarika* Namghar is the identity of the Assamese Community. Namghar tried to make unity among people. It is a part and parcel of the Ek Xaran Nava Vaishnava religion promoted by Srimanta Sankardeva. Sankardeva tried to establish a powerful community by eliminating all the differences regarding cast and creed and distributing the light of education among the people at a time when Assam had faced a pathetic condition on religion. Namghar and Satra’s were established aiming at promoting literature, music, dance, drama, sculpture, and architecture along with promoting religion. According to prominent scholar Dr. Maheswar Neog, Nam, Deva, Guru, and Bhakat are the base of Nava-vaishnava religion. The bhakats from the rural areas follow their life along with serving the God and the Guru. They were able to promote the Nava- Vaishnava religion among the people while living a strict spiritual life. Therefore to Nurture Vhaisnav’s culture and worship the God Namghar was established. The impact of the rules and regulation followed in the Namghar have certain impacts on the villages all over Assam. Different festivals are celebrated in Assamese society. In the same way, there are different festivals that are celebrated in the Namghar. They were originated with the root relating to Navavahsinava religion. For example- Tithi of Sankardeva and Madhavdeva, Ankiya Nat, Rash, Janmastami, Fakuwa, Pal Nam, Bar Sabah, Gokhai Bihu are Celebrated in the namghar. And namghar plays a vital role in Assamese social life from various perspective. These include- establishing equality and promoting dignity to everyone, Acting as a village parliament, solving dispute, centre for planning and reform, preserving ethnic culture, etc. Besides it works as a forum for shelter during different hazards. From the constructional point of view, it is a very unique method used, which is traditionally dispatched among the Assamese community. This paper tried to discuss various technology and constructional system of Namghar. 11 30 2019 1905 1908 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4412.119119 https://www.ijitee.org/portfolio-item/A4412119119/ School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India. Deeba K RA.K. Saravanaguru* School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India. The Internet of Things (IoT) activates massive data flow in the real world. Each computer can presently be linked to the internet and supply useful decision-making information. Virtually sensors are implemented in every aspect of life. From different sources of sensors can produce raw data. Due to the various data sources, the method of extracting information from the flow of data is mostly complicated, networks inadequate and criteria for real-time processing. In addition, an issue of context-aware data processing and architecture also present, despite the fact that they are essential criteria for stronger IoT structure. In order to meet this issue, we recommend a Context-aware Internet of Things Middleware (CAIM) architecture. This enables the incorporation of highly diverse IoT application context information by using light weigh protocol MQTT (Message Queue Telemetry Transport) for transmitting basic data streams from sensors to middleware and applications. In this paper, we propose a contextualization which means that obtain data from sensors of different sources. First have to create a context profile with the help of context type like user, activity, physical, and environment context. Then also is create a profile by using attributes. Finally, raw data can be change into contextualized data through CAPS (context-aware Publish-Subscribe) hybrid approach. This paper discusses the current context analysis strategies that use either rational models or probabilistic methods exclusively. The evaluation of identifying contextualization methods shows the shortcomings of IoT sensor data processing as well as offers alternative ways of identifying the context 11 30 2019 1112 1119 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4413.119119 https://www.ijitee.org/portfolio-item/A4413119119/ Assistant Professor, Department of Assamese Culture in New Media, Maryam Ajmal Women’s College of Science & Technology, Hojai, Assam, India. Heema Rani Borah* Mising tribe is an important speech community of Assam, the meeting ground of various communities and tribes. This community coexists in a limited geographical area along with the different communities and tribes with their unique languages and cultures. They speak Mising language in their households and communicate mostly in Assamese with other people. Therefore, socially the Mising people are bilingual. The community do not have any script or written tradition and although an effort has been going on to write in their language with modified Roman scripts, the literature of the language is yet to reach a developed stage. So the backwardness in terms of literature is restricting the language to spread and establish it as a medium of education in the respective society. Used only as a spoken language Mising has been included in the UNESCO endangered language category in its report (2011) and it has become almost certain that the practical field of this language will get shrink within a short period. So in such a crucial linguistic situation it has become an important matter of discussion from the socio-linguistic perspective how an integrated language planning is the need of the hour for maintenance and development of the Mising language. In this case it is very important to have a conscious and positive perspective of the respective Mising language speakers towards maintenance and development of the language. This study covers the perspective of the Mising community towards maintenance and development of their language. Respective people’s standpoint towards choosing another language for communication is also observed. Moreover, in the perspectives of language situation in Assam, it also discusses the real scenario of bilingual situation of the Mising speech community. Information is collected through the methods like field observation, questionnaire and stratified and purposive sample survey method. The subjects have been formatted on the basis of quantitative perception and analysed with SPSS software and Descriptive Statistical method. As per study it is decided that majority of the Mising population has shown positive perspective towards maintenance of the language which can be very helpful in near future. The people of the Mising community should also put effort on regular basis to enrich their language and literature as well. 11 30 2019 1123 1136 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4415.119119 https://www.ijitee.org/portfolio-item/A4415119119/ Department of Applied Mathematics and Computer Analysis, National University of Uzbekistan named after Mirzo Ulugbek, Tashkent, Uzbekistan Aripov Mersaid Mirsiddikovich* Sayfullaeva Maftukha Zafrullayevna Department of Applied Mathematics and Computer Analysis, National University of Uzbekistan named after Mirzo Ulugbek, Tashkent, Uzbekistan, In this article, we discuss one problem of nonlinear thermal conductivity with double nonlinearity; an exact analytical solution has been found for it, the analysis of which allows revealing a number of characteristic features of thermal processes in nonlinear media. The following nonlinear effects have been established: the inertial effect, the finite propagation velocity of thermal disturbances, the spatial localization of heat, and the effect of the finite time of the existence of a thermal structure in an absorption medium. 11 30 2019 1542 1543 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4416.119119 https://www.ijitee.org/portfolio-item/A4416119119/ Civil Engineering Department – Faculty of Engineering - Middle East University. Amman, Jordan Aymen Awad* This paper aims to produce and transfer data to a decision-maker so as to help within the creation of correct property sewer water biosolids management and utilization in Jordan. Jordan has around 31 wastewater treatment plants with annual total capacity of 350 Mm3. The deficiency of water demand in the country could be reduced by treating this quantity of wastewater. Treatment will produce a total amount of sludge waste around 20000 tons annually. Wastewater sludge could be utilized in different usages such as; biogas production (methane gas), organic fertilizers, additives in material construction and other applications. Considering these amounts of reclaimed water and biomass produced, they require an extremely high budget to operate different equipment to treat wastewater, utilize the sludge and finally to dispose of residual in landfills. This study will provide and help to adopt best practice technologies (BPT) and related techniques to generate energy from sludge in different wastewater treatment plants efficiently and economically while taking environmental impacts into consideration. It is concluded that the high percentage of the energy can be produced and reused, while the transportation cost and the disposal cost of the unwanted sludge will be reduced. A total amount of reclaimed water of 240-260 Mm3 may be achieved by 2025, while daily electricity of 57128804 kWh will be generated from wastewater sludge. Wastewater utilization and management will reduce the environmental pollutions as well as providing economic value for the waste material as well. The results of suggested techniques and methodology for utilizing wastewater and sludge in this study will save about 10,683,086 JOD /Year ( 15 million $/Year). 11 30 2019 881 886 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4417.119119 https://www.ijitee.org/portfolio-item/A4417119119/ Assistant Professor, Department of ECE, Alagappa Chettiar Government college of Engineering and Technology, Karaikudi 630003 India. C.Karthika Pragadeeswari* G. Yamuna Professor and Head, Department of ECE, Annamalai University, Annamalainagar, 608002 India. G.Yasmin Beham PG Scholar, Department of ECE, Alagappa Chettiar Government college of Engineering and Technology, Karaikudi 630003 India. Object tracking is a troublesome undertaking and significant extent in data processor perception and image handling community. Some of the applications are protection surveillance, traffic monitoring on roads, offense detection and medical imaging. In this paper a recent technique for tracking of moving object is intended. Optical flow information authorizes us to know the displacement and speed of objects personate in a scene. Apply optical flow to the image gives flow vectors of the points to distinguishing the moving aspects. Optical flow is accomplished by Lucas canade algorithm. This algorithm is superior to other algorithms. The outcomes reveals that the intend algorithm is efficient and accurate object tracking method. This paper depicts a smoothing algorithm to track the moving object of both single and multiple objects in real time. The main issue of high computational time is greatly reduced in this proposed work. 11 30 2019 887 892 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4419.119119 https://www.ijitee.org/portfolio-item/A4419119119/ Department of Biomedical Engineering, North-Eastern Hill University, Shillong, India. Sudip Paul* Angana Saikia Department of Biomedical Engineering, North-Eastern Hill University, Shillong, India. Masaraf Hussain Department of Neurology, North Eastern Indira Gandhi Regional Institute of Health and Medical Science, Shillong, India Amit Ranjan Barua Department of Neurology, GNRC Hospitals, Guwahati, India Artificial neural network (ANN) is a significant tool for classification of various types of disease using either Biosignals/images or may be any kind of physical parameters. Establishment of appropriate combination of learning, transfer function and training function is a very tedious task. Here, we compared the performance of different training parameters in feed forward neural network for differentiating of Parkinson’s disease using human brain (Electroencephalogram) and muscle signals (Electromyogram) features as the input vector. 3 different types of training algorithm with six training functions is used. They are Gradient Descent algorithms (traingd, traingdm), Conjugate Gradient algorithms (trainscg, traincgp) and Quasi-Newton algorithms (trainbfg, trainlm). Proposed work compared the mentioned algorithm in terms of mean square error, classification rate (%),R-value and the elapsed time. Study showed that trainlm (Levenberg-Marquardt) best fits for larger data set. It showed the highest accuracy rate of 100% with 0 mismatch classification with a best validation mean square error of 0.0040254 in 3 epochs with a elapsed time of 1.12 seconds. The R-value found was 0.9998 which is in nearly equals to 1. Hence, Levenberg-Marquardt can be used as a training function for the classification of any brain disorder 11 30 2019 3402 3406 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4424.119119 https://www.ijitee.org/portfolio-item/A4424119119/ Department of Commerce, St. Joseph’s College affiliated to Bharathidasan University, Trichy, Tamil Nadu, India. A. Leo* Dr. V. Bastin Jerome Department of Commerce, St. Joseph’s College affiliated to Bharathidasan University, Trichy, Tamil Nadu, India. In Tiruchirappalli has its paved a way for many shoppers to access higher online shopping due to various factors such as convivence includes the huge benefits, best prices, different variety, possibly send the gifts more easily, easy price comparison, no crowds and no pressures. The present study examines the stress driven compulsive online spending among the inbound shoppers. In online shopping compulsive buyers have high levels of both positive and negative impacts. The existing research in the area of compulsive spending shows that most of the time it affects the buyers that may lead to serious problems. It aims to make a study on perception and spread awareness regarding online sales promotion techniques. In order to sense the retort of rural people through offline advertisements with regard of sales promotion techniques. To measure the grasp and insight of online shoppers. To recognize the contend of promotion techniques. To estimate the outreach of social media advertisement. 11 30 2019 893 899 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4425.119119 https://www.ijitee.org/portfolio-item/A4425119119/ M.tech, Structural Engineering, Anurag Group of Institutions, Venkatapur, Ghatkesar (M), Medchal (D), Hyderabad, India. Mohammad Abdul Waseem* Dr.A. Vimala Professor & H.O.D, Department of Civil Engineering, Anurag Group of Institutions, Venkatapur, Ghatkesar (M), Medchal (D), Hyderabad, India. Earthquake is an unexpected and expensive disaster for both livelihood and economy. In the modern day construction there has been a lot of importance to make the structure resistive against the laterally acting loads. Bracings are an option for lateral load resisting system in tall buildings. The concept of bracings is to add more stiffness and strength to the adequate strength of the structure. Members in a braced frame are generally made of structural steel which can work effectively both in strain and pressure. In the present work 13 story irregular building is considered with and without bracings to evaluate the optimum bracing pattern for the structure. By changing the position of the bracings alternately in both horizontal and vertical direction the analysis is carried out. These are the different models analyzed by pushover analysis (a) Building with no bracing, (b) Building with alternate vertical bracing starting from bay-1, (c) Building with alternate vertical bracing starting from bay-2, (d) Building with alternate vertical bracing starting from story-1, (e) Building with alternate vertical bracing starting from story-1. The non linear static results were compared. The various parameters like story drift, shear, time period, stiffness, moment, torsion, performance points are obtained by the analysis for all the models. 11 30 2019 2429 2432 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4430.119119 https://www.ijitee.org/portfolio-item/A4430119119/ Faculty of Sports Science and Coaching, Sultan Idris Education University, Malaysia. Thariq Khan Azizuddin Khan* Nor Fazila Abd Malek Faculty of Sports Science and Coaching, Sultan Idris Education University, Malaysia. Asmadi Ishak Faculty of Sports Science and Coaching, Sultan Idris Education University, Malaysia. Nur Haziyanti Mohamad Khalid 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. The purpose of this study is to examine the effects of audio imagery with video modelling on participants’ self-efficacy during resistance exercise. Forty five individuals volunteered as research participant and were divided homogenously into imagery with modelling end instruction (EIM) or initial instruction (IIM) groups and a modelling only (M) as control group. During the pre-test all participants employed self-efficacy (SE) of lunges exercise. All participants were provided with the interventions (EIM, IIM, & M) during 10 minutes rest before the first post-test which, all measurements were conducted to look at the acute effects of interventions employed. Participants’ android phones were downloaded with specific intervention according to their group and they were advised to employ the intervention once a day for seven days. The second post-test was conducted consist of all measurements after seven days of intervention duration. For self-efficacy, significant results were recorded on pre-test and post-test within participants in EIM and IIM (p < 0.05), moreover, results for post-test comparing data between groups indicates significant between EIM and M groups, IIM and M groups (p < 0.05). No significant different results found comparing EIM with IIM groups. Results from this study indicate that there are psychological performances improvement among participant who employed imagery and modelling comparing to modelling alone. 11 30 2019 2433 2435 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4431.119119 https://www.ijitee.org/portfolio-item/A4431119119/ Doctor of Economic Sciences (Advanced Doctor), Head of Accounting Department of Voronezh State University, Professor, Voronezh, Russia N.G. Sapozhnikova* Y.E. Putihin PhD, Associate Professor, Head of the Department of Economics and Finance, Director of the St. Petersburg Branch of the Financial University under the Government of the Russian Federation, St. Petersburg, Russia Y.N. Akimova Head of the Department of International Cooperation and Supplementary Education of the St. Petersburg Branch of the Financial University under the Government of the Russian Federation, Doctor of Psychological Sciences, Associate Professor in Economics and Management, St. Petersburg, Russia L.A. Melnikova Ph.D., Associate Professor of the Accounting, Analysis and Audit Department of the Financial University under the Government of the Russian Federation, Moscow, Russia O.V. Antonova Ph.D., Associate Professor of the Accounting, Analysis and Audit Department of the Financial University under the Government of the Russian Federation, Moscow, Russia Currently ethics assessment and reputation have no small part in dealing, selecting business partners, sanctions implied by regulatory bodies, etc. Social responsibility concept is a relatively new principle in the modern business ethics. Active and successful implementation of social responsibility of business has started throughout the world. Companies do not just try to resolve social problems, investing into development of education, healthcare, science and industry, supporting socially disadvantaged groups and taking care of environmental safeguards; they also get certain benefits from these activities. 11 30 2019 1544 1548 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4432.119119 https://www.ijitee.org/portfolio-item/A4432119119/ Department of Information Technology, Gauhati University Guwahati, India, M. Rahman* P. Sarma Department of Information Technology, Gauhati University Guwahati, India M.P. Bhuyan Department of Information Technology, Gauhati University Guwahati, India A. Das Department of Computer Science NERIM Group of Institutions, Guwahati, India. D. Dutta Department of Computer Science NERIM Group of Institutions, Guwahati, India. In this research work we have shown the methodology for converting printed Assamese numerals to its corresponding utterance. We have implemented as an initial effort which will read only four digit numerals. We are using Image processing techniques to convert an image of Assamese numerals into textual/digital form. In the second phase the numerals will be pronounced as a number by Google speaker. In this system, images are stored in a dataset and then inputted data is compared with the dataset image using template matching technique. After recognition of the text output will be displayed as a speech waveform. This work has many applications in today’s digital world. 11 30 2019 900 905 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4435.119119 https://www.ijitee.org/portfolio-item/A4435119119/ Assistant Professor, SRM Institute of Science and Technology, Chennai, India. S. P. Maniraj* Harie Krishnan G UG Scholar, SRM Institute of Science and Technology, Chennai, India. Surya T UG Scholar SRM Institute of Science and Technology, Chennai, India. Pranav R UG Scholar SRM Institute of Science and Technology, Chennai, India. Nowadays, Online Social Media is dominating the world in several ways. Day by day the number of users using social media is increasing drastically. The main advantage of online social media is that we can connect to people easily and communicate with them in a better way. This provided a new way of a potential attack, such as fake identity, false information, etc. A recent survey suggest that the number of accounts present in the social media is much greater than the users using it. This suggest that fake accounts have been increased in the recent years. Online social media providers face difficulty in identifying these fake accounts. The need for identifying these fake accounts is that social media is flooded with false information, advertisements, etc. Traditional methods cannot distinguish between real and fake accounts efficiently. Improvement in fake account creation made the previous works outdated. The new models created used different approaches such as automatic posts or comments, spreading false information or spam with advertisements to identify fake accounts. Due to the increase in the creation of the fake accounts different algorithms with different attributes are use. Previously use algorithms like naïve bayes, support vector machine, random forest has become inefficient in finding the fake accounts. In this research, we came up with an innovative method to identify fake accounts. We used gradient boosting algorithm with decision tree containing three attributes. Those attributes are spam commenting, artificial activity and engagement rate. We combined Machine learning and Data Science to accurately predict fake accounts. 11 30 2019 583 585 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4437.119119 https://www.ijitee.org/portfolio-item/A4437119119/ Department of English Education, Universitas Negeri Manado, Tondano, Indonesia, Tini Mogea* Salaki Reynaldo Joshua Department of Informatics Engineering, Universitas Sam Ratulangi, Manado, Indonesia Indonesia has a very artistic and cultural diversity. Currently the lack of knowledge about the culture and art of their own country is an issue that is being experienced. Now the lack of means of support in getting information about Indonesian art and culture, thereby lowering the curiosity about the culture and art of Indonesia itself. North Sulawesi is a province in Sulawesi islands where lies the province on the northern tip of Sulawesi island directly adjacent to the Philippines Country. North Sulawesi as an area that has a lot of cultural diversity begins from historic sites, traditional houses, traditional clothing, to the beautiful tourism place in North Sulawesi. With provided a means of education in the information provider will provide a media to share information about the culture in North Sulawesi. Therefore, it is necessary to develop applications Introduction to Cultural North Sulawesi, which is the application of information systems to the concept mobile based application that is expected to attract interest in giving and receiving information about the cultures that exist in North Sulawesi. In the development of this application using methods developed Multimedia Development Life Cycle (MDLC) which starts from the concept phase to the distribution phase. 11 30 2019 1137 1144 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4438.119119 https://www.ijitee.org/portfolio-item/A4438119119/ Assistant Professor in Department of EEE NIE Institute of Technology,(Aff. To VTU) Mysore, India. Vishwanath G* Lokesh M Assistant Professor in Department of EEE NIE Institute of Technology,( Aff. to VTU) Mysore, India. Dr. A D Kulkarni Professor in Department of EEE National Institute Of Engineering Mysore, India. The impact of wind technology on power quality for a distribution system is emphasized in this paper. The Power Quality of a Distribution system depends on voltage and Frequency quality. The pros of integrating the wind turbine to the system are loss reduction and voltage profile improvement but the cons of adding renewable energy to the distribution system are represented in this paper. such as voltage unbalance, flicker, power factor, and the impact of voltage and current harmonics are measured. The performed analysis results indicated the importance of the integration of DG based on Power quality Parameters. 11 30 2019 1909 1914 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4439.119119 https://www.ijitee.org/portfolio-item/A4439119119/ Informatics Department, Universitas Multimedia Nusantara, Tangerang, Indonesia. Rafi Akbar Widyatama* Seng Hansun Informatics Department, Universitas Multimedia Nusantara, Tangerang, Indonesia. This paper describes the creation of an expert system that is used to diagnose diseases in chili plants using a web-based certainty factor method. This expert system is made based on the weight of symptoms by experts so that users can find out the disease suffered by chili plants based on symptoms that arise. The symptom weight was calculated using the certainty factor method. This method is used to accommodate uncertainties that are often expressed by experts when detecting a disease. The design and manufacture of this expert system are done using the PHP programming language, MySQL database, CSS and the CodeIgniter framework. The results of the analysis between expert and expert systems have 87.09% compatibility level, and based on the calculation of the feasibility of the system with the Delone and McLean model shows that 77.58% of respondents agree Pakarcabaiku.com is a successful system for detecting chili disease. 11 30 2019 1145 1151 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4440.119119 https://www.ijitee.org/portfolio-item/A4440119119/ Department Computer Technology – PG, Kongu Engineering College, Erode Malathi Eswaran* P. Balasubramanie Department of Computer Science & Engineering Kongu Engineering College, Erode M. Jotheeswari Department Computer Technology – PG, Kongu Engineering College, Erode Web use and digitized information are getting expanded each day. The measure of information created is likewise getting expanded. On the opposite side, the security assaults cause numerous security dangers in the system, sites and Internet. Interruption discovery in a fast system is extremely a hard undertaking. The Hadoop Implementation is utilized to address the previously mentioned test that is distinguishing interruption in a major information condition at constant. To characterize the strange bundle stream, AI methodologies are used. Innocent Bayes does grouping by a vector of highlight esteems produced using some limited set. Choice Tree is another Machine Learning classifier which is likewise an administered learning model. Choice tree is the stream diagram like tree structure. J48 and Naïve Bayes Algorithm are actualized in Hadoop MapReduce Framework for parallel preparing by utilizing the KDDCup Data Corrected Benchmark dataset records. The outcome acquired is 89.9% True Positive rate and 0.04% False Positive rate for Naive Bayes Algorithm and 98.06% True Positive rate and 0.001% False Positive rate for Decision Tree Algorithm. 11 30 2019 1152 1156 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4443.119119 https://www.ijitee.org/portfolio-item/A4443119119/ Department of Electrical & Electronics Engineering, JNTUA College of Engineering, Ananthapuramu, India. Panchagnula Sai Harish* S. SRIDHAR Assistant Professor, Department of Electrical& Electronics Engineering, JNTUA College of Engineering, Ananthapuramu, India. There is some poor performance regarding controlling capacity of the bearing-less induction motor (BIM) when there are deviations in the parameters, outer disturbances and changes in the loads. So to solve this issue design of an adaptive exponential sliding-mode (AESM) controller and an observer for extended SM disturbance for finding system disturbance variables while operating are done. This adaptive exponential control is explained by combining order one norm and switching function law into regular control strategy. We can adjust the conjuction speed time adaptively as per variation of the SM switch surface and the system status. The controller used in this control strategy is Adaptive Neuro-Fuzzy Inference System (ANFIS). The observer used senses the speed and outer disturbances of the bearing-less induction motor. As feed forward contribution for system speed, the response of DSMO is utilized. The disturbance in the motor can be reduced by adjusting error in the speed by this feedback speed. From simulation output it can be seen that proposed system with ANFIS control strategy has good strength to control disturbances and to find the uncertain disturbances accurately. Hence the controlling capacity of the bearing-less induction motor (BIM) when there are deviations can be improved by using this proposed system. 11 30 2019 906 912 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.4448.119119 https://www.ijitee.org/portfolio-item/A4448119119/ Assistant Prof., ITER, SOA University, Bhubaneswar, Odisha, India Bidula Bose* Sand-bentonite mix is commonly used as liner material or backfill material in landfill sites. Bentonite belonging to group of montmorillionite clay provides higher density and less void ratio to lessen permeability of liner layer mixed with sand. This mix is inevitable and economical where soil nearby landfill site have sandy soil .Many literatures provided geotechnical aspects of using this mix.In this present study, the grain size distribution analysis and compaction of sand–bentonite mixture for 10%,20% and 30% bentonite mix is studied to propose economic and less permeable liner material with lower shrinkage. Locally available sand from different river , Odisha (India) was mixed with different proportions of commercial sodium bentonite. The following research output presented here elaborately show the effect of clay particle on compaction, Relative Density, Coefficient of uniformity,Coefficient of curvature, permeability by gradually adding commercial Sodium Bentonite 10% by weight upto 30%. The result show that there is a significant improvement in MDD and OMC of Sand-Bentonite mix along with decrease in void ratio. The grain size alteration eventually helped to increase the dry density and reduced void ratio will enhance the scope of this mix to be used as liner layer in landfill system. 11 30 2019 4106 4110 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4451.119119 https://www.ijitee.org/portfolio-item/A4451119119/ Scientific-Research, Institute of Architecture and Urban Planning Theory and History, Russia. Elena Vladimirovna Ponomarenko The subject of this paper seems to be important due to the ever-increasing interest in architectural traditions of Russia’s regions. The purpose of the article is to identify the characteristic features of the architecture of modern wooden temples in the territory of the South Urals. The key approach I chose for this study was historical architectural analysis and integration of data from archives and field surveys. A novel systematic analysis of the evolution of church design in the region since ancient times till nowadays is offered. For the first time, a study is made of churches building based on ‘model church design projects for Orenburg the Orenburg defence lines’ and exemplary albums. Descriptions and analyses of the region’s lesser known little known specimen of religious architecture are introduced for the scientific use based on the author’s own in situ investigations. Many archival materials from Russia's central and regional repositories are considered and published at for the first time. Key properties of modern region Eastern Orthodox churches built in different architecture styles are formulated and classified. 11 30 2019 586 592 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4452.119119 https://www.ijitee.org/portfolio-item/A4452119119/ Professor, Doctor of Historical Sciences, The Department of the History and Source Studies of Central Asian People, Tashkent State Institute of Oriental Studies, Tashkent, Uzbekistan. Is’hoqov Mirsodiq Mirsultonovich Alimova Rahima Ruskulovna Assistant professor, Doctor of philosophy, The Department of the History and Source Studies of Central Asian People, Tashkent State Institute of Oriental Studies, Tashkent, Uzbekistan. Karimov Nodir Rakhmonqulovich* PhD student, The Department of the History and Source Studies of Central Asian People, Tashkent State Institute of Oriental Studies, Tashkent, Uzbekistan. Sulaymonov Jasur Baxtiyorovich Senior teacher, The Department of Oriental Philosophy and Culture, Tashkent State Institute of Oriental Studies, Tashkent, Uzbekistan Madalimov Timur Abduvaliyevich Teacher, The Department of ‖Social Subjects‖, Chirchik State Pedagogical Institute of Tashkent Region, Uzbekistan. Indeed, the hadiths are one of the topics that have been causing extensive discussions in the West since the 19th century. Many western scholars believe that the hadiths were fabricated and they have no historical significance. At the same time, there are many researchers who totally reject these views. Most researchers, in particular, Ignaz Goldziher, Schacht denied most hadiths and they claimed that hadiths have no historical significance. According to them, rulers and jurists all fabricated ḥadiths to reinforce their legal views or to validate already-existing practices. Other groups of scholars, such as John Burton, Motzki, and N.Abbot, admit the hadiths as reliable sources after the Qur'an. The superficial conclusions of Western scholars have been denied by Muslim researchers by F.Sezgin, Abu Shuhba, al-Marsafi, al-A’zami, Maloush on the basis of historical facts. However, scholars on both sides have not seriously objected to “al-Kitab as-Sitta” which translates as “The Authentic Six”. The six major hadith collections (“Sahih Bukhari”, collected by Imam Bukhari , “Sahih Muslim, collected by Muslim b. al-Hajjaj, “Sunan Abu Dawood”, collected by Abu Dawood , “Jami al-Tirmidhi”, collected by al-Tirmidhi, Sunan al-Sughra, collected by al-Nasa'i, Sunan ibn Majah, collected by Ibn Majah have been considered as valuable source on the history of Islam. “Jami al-Tirmidhi” plays an important role among them. Some researchers think this work second or third vital source after “Sahih Bukhari”. In the article, the life of hadith scholars, his scientific legacy, structure and importance of “Jami al-Tirmidhi”, special style of Abu Isa Tirmidhi in hadith methodology, opinions of other scholars on this work, differences between Imam Bukhari and Imam Tirmidhi on writing and selecting hadiths and legal issues of them will be discussed. 11 30 2019 593 599 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4453.119119 https://www.ijitee.org/portfolio-item/A4453119119/ Forensic Science Programme, School of Health Sciences, Universiti Sains Malaysia, Health Campus, Kelantan, Malaysia. Nik Fakhuruddin Nik Hassan* Durga Devi Sandran Forensic Science Programme, School of Health Sciences, Universiti Sains Malaysia, Health Campus, Kelantan, Malaysia Masitah Mohamad Forensic Science Programme, School of Health Sciences, Universiti Sains Malaysia, Health Campus, Kelantan, Malaysia. Royal Malaysia Police (PDRM) Yusmazura Zakaria Biomedical Science Programme, School of Health Sciences, Universiti Sains Malaysia, Health Campus, Kelantan, Malaysia. Noor Zuhartini Md Muslim Forensic Science Programme, School of Health Sciences, Universiti Sains Malaysia, Health Campus, Kelantan, Malaysia. Estimating the accurate time of a crime occurred is one of the priceless information in forensics practice and for the investigation purposes. There are profuse of evidence can be found at the crime scene and each of the evidence will give an important information for the investigation purposes. In this study, the Attenuated Total Reflection (ATR)- Fourier Transform Infrared (FTIR) technique combined with advanced chemometrics method was deployed. For the purpose of determining the age of the bloodstain, two storage conditions; indoor and outdoor were set up to simulate real crime scene scenario and bloodstains on soil matrices were exposed and analyzed for selected time intervals for up to 63 days. Six partial least squares regression-discriminant analysis (PLSR-DA) models were constructed-indoor and outdoor models with 1-63 days-exhibited good performance with acceptable values of predictive root mean squared error (7.04-16.0) and r2 values (0.45-0.89), respectively. Using these models, correct classification of the aged bloodstains was calculated up to 70%. In conclusion, the multivariate analysis based on PLS-DA models indicates that ATR-FTIR spectroscopy, coupled with chemometrics provides acceptable discrimination for rapid and non-destructive determination the age of bloodstains on soil matrices in particularly for outdoor and very aged bloodstains. 11 30 2019 4750 4755 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4454.119119 https://www.ijitee.org/portfolio-item/A4454119119/ professor and head of department, National university of Uzbekistan after M. Ulugbek, Tashkent,Uzbekistan. Aripov M* Mukimov A. Phd student, National university of Uzbekistan after M. Ulugbek, Tashkent,Uzbekistan. In this work we have established asymptotic behavior (for t  ) of solutions of the Cauchy problem for a nonlinear heat equation with variable density describing the diffusion of heat with nonlinear heat absorption at the critical exponent of the parameter  . For numerical computations as an initial approximation we used founded the long time asymptotic of the solution. Numerical experiments and visualization were carried for one and two dimensional case. 11 30 2019 3407 3412 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4455.119119 https://www.ijitee.org/portfolio-item/A4455119119/ Department of Electrical and Electronics Engineering, Holy Mary institute of Technology and Science, Hyderabad, India. A.Sathish Kumar* M. Saravanan Department of Electrical and Electronics Engineering, Holy Mary institute of Technology and Science, Hyderabad, India. Dr.N. Joshna Department of Mathematics, Holy Mary institute of Technology and Science, Hyderabad, India. Dr.G. Seshadri Department of Electrical and Electronics Engineering, Holy Mary institute of Technology and Science, Hyderabad, India. In power systems, voltage stability perform the major role in design and its operation. Major system failures are occur due to voltage variability and breakdown. To meet and compensate the rising power demand of regular usage in modern trends, transmission networks are enormously loaded which create the voltage instability. Contingency analysis is a recognized energy managing tool. It calculate the violation in the transmission line. In this paper a computational controller fuzzy system is suggested to handle the transmission line outage and overload in other branch kind of problems in Power system. The efficiency of power transmission system with fuzzy controller is inveterate by computation of various parameters of transmission bus under different loading situations. For the contingency analysis the transmission power flow several methods have been developed. Fast Decoupled load flow program is the effective method which provides a fast and effective solution to the contingency analysis in the transmission system and also it is incorporate with matrix alteration formula which gives additional advantage for the system. 11 30 2019 4111 4115 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4461.119119 https://www.ijitee.org/portfolio-item/A4461119119/ Department of Electrical and Electronics Engineering, Holy Mary institute of Technology and Science, Hyderabad, India. M. Saravanan* A.Sathish Kumar Department of Electrical and Electronics Engineering, Holy Mary institute of Technology and Science, Hyderabad, India. R. Devasaran Department of Electrical and Electronics Engineering, Holy Mary institute of Technology and Science, Hyderabad, India. G. Seshadri Department of Electrical and Electronics Engineering, Holy Mary institute of Technology and Science, Hyderabad, India. S. Sivaganesan Department of Electrical and Electronics Engineering, Holy Mary institute of Technology and Science, Hyderabad, India. In this p aper, Matrix Converter is which converts the AC to AC in a single stage. The merits of the matrix converter is its able to deliver variable output voltage with unrestricted input and output frequency, the lack of electrolytic capacitors, and the potential to raise the power density, decrease the size, less weight and better input power quality. In whatever way, application of these converters are restricted because of some issues such as different control strategies, high susceptibility to input power disturbances, common mode voltage effects and less voltage transfer ratio. Recently, matrix converters have gained a resurgence of importance due to the improvements in the semiconductor device industry and the increasing of processor technologies, which promises real implementation of matrix converters in the control of drives. The real effect of indirect space vector modulation scheme for very sparse matrix converter performance will be measures by testing of computationally for using indirect space vector modulation strategies with the passive R load and active load . 11 30 2019 4756 4762 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4462.119119 https://www.ijitee.org/portfolio-item/A4462119119/ M.Tech Scholar from Electrical & Electronics Engineering, JNTUA College of Engineering, Ananthapuramu, Andhra Pradesh, INDIA. C Surya Prakash* In this paper the wind energy conversion with a variable speed of wind turbine connected to the grid which is based on dual stator induction generator (DWIG) which is excited by Static Excitation Controller (SEC) on the Control winding side which utilized by Control –Winding Voltage Oriented Control (CWVOC), and followed by Step up converter at the power winding side which utilized Fuzzy Logic Controller in its control strategy to increase the speed range of DWIG. The performance of boost converter with FLC in increasing the wide range of speeds can be executed by using mat lab/Simulink. 11 30 2019 600 606 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4474.119119 https://www.ijitee.org/portfolio-item/A4474119119/ Assistant Professor (O.G.), Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India. Mr. M. Prabu* Ms. Pooja Patil Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India. Ms. Mallika Yadav Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India. Ms. Nidhi Ranjan Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India. There are many existing companies who are developing cars on the autonomous driving technology. With the help of GPS and internet connectivity they create a dynamic map which helps the cars to navigate. This technology is still new and undergoing rigorous changes. There are many shortcomings to this existing technology. They are capable of navigating through those areas which are accounted for and surveyed but when the car enters in any unchartered terrain or there is any internet connectivity issues, the updation in the map is not possible, which leaves the car to navigate on its own. This can cause many troubles like you can get late or maybe lost. So to overcome these problems we need such an intelligent system with the help of camera feeds can monitor and identify the traffic signals dynamically. Traffic sign recognition is based on Advanced Driving Assistance System (ADAS) which is used by vehicles to recognise various traffic signs ahead. The system takes continuous video input from the dashboard camera or the camera mounted on the bonnet of the car. The underlying algorithm extracts the features of the input image and matches them with an existing library of traffic sign. The output is fed to the driving assistance system and it in turn drives the car accordingly. This intelligent system uses computer vision. This device will take camera feeds and upgrade the ADA system instantaneously. The algorithm has been implemented using Python language. 11 30 2019 1157 1160 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4482.119119 https://www.ijitee.org/portfolio-item/A4482119119/ Assistant Professor, Department of Electronics and Communication Engineering, Providence College of Engineering, Chengannur, Kerala, India. Kuruvilla John* Saiju Paulose B. Tech Student, Department of Electronics and Communication Engineering, Providence College of Engineering, Chengannur, Kerala, India. Priya M Tony B. Tech Student, Department of Electronics and Communication Engineering, Providence College of Engineering, Chengannur, Kerala, India. Aleena Thomas B. Tech Student, Department of Electronics and Communication Engineering, Providence College of Engineering, Chengannur, Kerala, India. Lija Rachel Mathew B. Tech Student, Department of Electronics and Communication Engineering, Providence College of Engineering, Chengannur, Kerala, India. In this paper we proposed a system to avoid collision between vehicles by using light fidelity (Li-Fi) technology. The data transmission from one vehicle to another is facilitate with the help of car to car communication (C2C). The model consists of Li-Fi circuit, Arduino UNO, Ultrasonic Range Sensor, Servo Motor. The transmitter section will be placed on the rear light of the leading car and the receiver section will be placed on the front of the following car. The transmitter section placed on the leading car will sent the calculated speed to the receiver section placed on the following car and according to the data received the speed of the following car will change such that it avoids collision. The system makes use of the visible light spectrum for communication between vehicles. Hence the collision detection system become cheaper. 11 30 2019 2110 2114 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4487.119119 https://www.ijitee.org/portfolio-item/A4487119119/ Assistant Professor (O.G.), Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India. Ms. Caroline El Fiorenza* Mr. Ankit Prajapati Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai , India. Mr. Sandeep Kumar Barik Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai , India. Mr. Sagar Mahesh Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India. Gestures are the simplest way of conveying a message, rather simpler than verbal means. It is the most primitive way of conversation. Gestures can also be the easiest and intuitive way of communicating with a computer, they can be used to communicate or convey information to computers, robots, smart appliances and many other pieces of machinery. It can eliminate the use of mouse and keyboard to some extent. The gestures cited are basically the variable positions as well as orientations of the hand. They can be detected by a simple webcam attached to the computer. The image is first changed into its corresponding RGB values and then to HSV values for better handling and feature recognition. The hand is segregated from the background using feature extraction. Then the values are matched in proximity of the coded values. Then the region of interest is calculated using the concept of convexity and background subtraction. The convex defect helps to define the contour efficiently. This method is invariant for different positions or direction of the gesture. It is able to detect the number of fingers individually and efficiently. 11 30 2019 1161 1165 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4489.119119 https://www.ijitee.org/portfolio-item/A4489119119/ Economics and Management, Mendel University Brno, Czech Republic. Georg Rockel* Linard Barth Economics and Management, Mendel University Brno, Czech Republic. A paperless office is not only environmentally friendly but also advantageous in many aspects. The digitalisation of documents and corresponding processes saves time, reduces mistakes and therefore realizes cost savings for companies. This time can be invested in better customer management. Real estate companies work with thousands of rented apartments and as many customers and thus have to maintain and manage a lot of customer related data. IT has already created manifold remedies with Enterprise-Resource-Planning (ERP) and Customer- Relationship-Management (CRM) systems and models, but there is still plenty of development potential to be exploited by integrating mobile solutions into the IT architecture. The main challenge thereby is not the programming of an app but the seamless integration into customer processes and the creation of customer acceptance and thus value. Therefore, it is investigated how mobile applications can better control customer processes and whether such an implementation is profitable. For this purpose, typical work and customer processes of real estate companies must be analysed, understood and transferred to appropriate mobile solutions. This paper examines the details which need to be considered in such projects. 11 30 2019 607 616 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4491.119119 https://www.ijitee.org/portfolio-item/A4491119119/ SRM Institute of Science & Technology Ramapuram,Chennai,Tamil Nadu,India Aviraj Patel* Navnit Kumar Jha SRM Institute of Science & Technology Ramapuram,Chennai,Tamil Nadu,India S.Muthamilselvan A.P (Senior Grade)/cse ,SRM Institute of Science & Technology Ramapuram,Chennai,Tamil Nadu,India Diwakar Kumar Jha SRM Institute of Science & Technology Ramapuram,Chennai,Tamil Nadu,India The huge growth of the mobile industry leads to more efficient software to be developed in a mobile phone or android platform. the mobile software and games are now powerful to compete with computer’s software but as it seems the problems will also to be carried out from this enhancement.problems in the sense bug or misbehave of any software that can hang your device.so the Task manager would be needed for mobile devices too, where we can monitor what are all the applications are running and the complete package of informa- tion in one single Application. The Task Manager application shows all the device’s active applications, along with information about:task manager will show how much processor power and cores the app is consuming, and the RAM item shows how much memory of RAM the app occupies. You can use Task Manager to end or turn off tasks that are taking too much CPU time or memory or that any bug containing app. You can click applications you want to stop and then click End Apps button. This project will provide the Active applications ( Applications that are currently running on the device), Installed (Applications that have been installed from the Play Store or any third party provider) RAM manager (Random Access Memory), Storage (Available memory storage), Network uses(Amount of internet data used), GPU ( graphics processing unit), Screen time (time spend on app in day), Internet Speed(speed of connected in- ternet source) and Temperature(temperature of the whole device). 11 30 2019 1915 1918 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4496.119119 https://www.ijitee.org/portfolio-item/A4496119119/ Asst. Professor (Contractual), Department of Sociology, Naharkatiya College, Naharkatia. Dr. Suresh Kumar Sahu The Dhobis in Assam is passing through gradual economic development due to occupational mobility since independence. The traditional economic way of life of Dhobis has been changing gradually. Therefore, this paper aims to study pattern of occupational mobility and analyse its role for their economic development. The data were collected on 25th Oct to 3rd Dec 2015 by administering structured interview schedule to a random sample of Dhobi respondents in Dibrugarh and Duliajan towns in upper Assam. 11 30 2019 617 623 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4497.119119 https://www.ijitee.org/portfolio-item/A4497119119/ Assistant Professor, Department of Electrical and Electronics Engineering, S V Engineering College, Tirupati, India. J T Ramalingeswar* K. Subramanian Associate Professor, Department of Power Electronics and Drives Division, School of Electrical Engineering, VIT University, Vellore, Tamil Nadu, India. Increasing penetration levels of renewable energy sources in electrical grid distribution systems causes raped power variations drawing from the penetration levels variation in electrical vehicle charging creates the problem in the unity grid. In this paper a new artificial intelligence control technique is introduced in electrical vehicles in order to reduce the power variations caused by the solar power and high low demand. The fluctuations in electrical vehicle scheduling with energy storage has been studied the main effort is the minimizing of power variations in slack bus from the specified value and high utilization storage capability. Energy forecasting and renewable power generation are major considerations in electrical vehicle scheduling. The fuzzy technique is used to define power storage rate of electrical vehicles. Buttery life time was taken as key aspect and parameters that cause buttery degradation are considered while prioritizing PEVs for grid support. However, primary purpose of PEV (to travel) is given highest priority by ensuring maximum energy level before starting a trip. 11 30 2019 1166 1171 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4498.119119 https://www.ijitee.org/portfolio-item/A4498119119/ Assistant Professor, Department of EEE, Gnanamani College of Engineering, Namakkal, Tamilnadu, India. Mrs. P. T. Supriya* Dr. R. Prakash Professor, Department of EEE, Muthayammal Engineering College, Rasipuram, Tamilnadu, India. In an interconnected power system, if a load demand changes randomly, both frequency and tie line power varies. The main aim of automatic voltage controller is to minimize the transient variations in these variables and also to make sure that their steady state errors is zero. Many modern control techniques are used to implement a reliable controller. The objective of these control techniques is to produce and deliver power reliably by maintaining voltage within permissible range. When real power changes, system frequency gets affected while reactive power is dependent on variation in voltage value. That’s why real and reactive power is controlled separately. Our objective is here for to study and analyze the Genetic algorithms and their application to the problems of Function Optimization and System Identification. Since there are other methods traditionally adopted to obtain the optimum value of a function (which are usually derivative based), the project aims at establishing the superiority of Genetic Algorithms in optimizing complex, multivariable and multimodal function. The Genetic Algorithm is a popular optimization technique which is bio-inspired and is based on the concepts of natural genetics and natural selection theories proposed by Charles Darwin. 11 30 2019 624 628 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4499.119119 https://www.ijitee.org/portfolio-item/A4499119119/ Department of Electronics and Communications, Vignan’s Institute of Engineering for Women,Visakhapatnam, Andhrapradesh,India. Sai bharadwaj B * Ch. Sumanth Kumar Department of Electronics and Communications, GITAM Institute of Technology,GITAM Deemed to be University,Visakhapatnam,Andhrapradesh,India. The two diastolic heart sounds reflecting the malfunctionality of heart are third and fourth heartsounds(S3 and S4). Early detection of heart failures can decrease the risk by identifying the abnormal heart sounds through Phonocardiogram (PCG) signal analysis. In this paper abnormal heart sounds are identified and classified using Intrinsic time scale decomposition (ITD) and Support vector machine (SVM). The proposed framework has been tested on authenticated database signals under abnormal conditions. The success rate is really conquering for the SVM classifier with an accuracy over 94% in the S3 detection and 91% for the S4, which reveals the effectiveness and high efficiency of the proposed work 11 30 2019 1172 1177 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4500.119119 https://www.ijitee.org/portfolio-item/A4500119119/ Assistant professor Mahapurush Srimanta Sankardev Viswavidyalaya, Nagaon, Assam, India. Dikshita Kakoti* Runumi Das Assistant Professor Pandu College, Guwahati Assam, India. Puja Agarwal Assistant professor Naharkatiya College, Dibrugarh Assam, India. India’s outward foreign direct investment has experienced a Dynamic change over last decade after the liberalisation and globalisation of Indian economy that further achieves economic expansion and development in recent years. Approximately seven percent growth rate is witness by India from 1993-2011.This period also witnessed upward trend of outbound investment from India. UNCTAD (2015) has also nailed India as one of the leading outward investing economies. But a very few works have been done for exploring the long run relationship between outward FDI and GDP in context of the emerging economies like India. With this backdrop, the present study empirically investigates the long run and short run co –integrating relationship between India’s GDP and OFDI. For empirical analysis various econometric tools like test of stationarity, Engle granger co-integration ( as we have consider only two macro variables) and ECM model is used to test the causal association between the selected variables. It is found that there is long run causal relationship among OFDI and India’s Growth rate. The results found that no short term causal association among India’s OFDI and GDP by reflecting the fact that there are other factors which have influence on OFDI flows. 11 30 2019 2436 2439 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4504.119119 https://www.ijitee.org/portfolio-item/A4504119119/ Department of Computer Science, Jamia Millia Islamia, Jamia Nagar New Delhi 110025, India. Meenu Sharma* Dr. Rafat Parveen Department of Computer Science, Jamia Millia Islamia, Jamia Nagar New Delhi 110025, India. Liver Cancer becomes a major problem globally because it is responsible for the majority of death. Identification of various Risk factors which can be either genetic or environmental becomes necessary for early detection of Liver Cancer. To solve this problem, the data has been collected from various diagnostic centres, the data consists of 100 cancerous and 100 non-cancerous/healthy persons, then significant frequent patterns are identified by using the Apriori Algorithm. By employing significant frequent pattern, a prediction technique has been developed which identify the person susceptibility toward Liver Cancer by using the Risk Factors. Most peoples do not know that they are suffering from Liver Cancer at the early stage of cancer, and when they knew, that time it becomes impossible to cure. So, for proper cure Early detection of Liver Cancer acquires a necessary step in its diagnosis process, and for making a powerful preventive approach. This prediction system can effectively and successfully predict the Liver Cancer Risk, and it has been predicted in the form of three stages that is low Risk, medium Risk or high Risk. This approach can be used in hospitals for diagnosis of Liver Cancer patients. 11 30 2019 629 637 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4505.119119 https://www.ijitee.org/portfolio-item/A4505119119/ Assistant Professor, Computer Science Department, Banasthali Vidyapith, Banasthali, India. Dr. Monika Saxena* Prof. C .K. Jha Professor, Head, Computer Science Department, Banasthali Vidyapith, Banasthali, India. Ms. Deepika Saxena Computer Science Department, Sarvepalli Radhakrishnan University, Bhopal, India. The rise of IoT Real time data has led to new demands for mining systems to learn complex models with millions to billions of parameters, which promise adequate capacity to digest massive datasets and offer powerful predictive analytics. To support Big Data mining, high-performance powerful computing platforms are required, which impose regular designs to unleash the full power of the Big Data. Pattern mining poses a lot of interesting research problems and there are many areas that are still not well understood. The specifically very elementary challenges are to understand the meaningful data from the junk data that anticipated into the internet, refer as “Smart Data”. Eighty-five percent of the entire data are noisy or meaningless. It is a very tough often assigned to verify and separate to refine the data from the noisy junk. Researchers’ are proposing an algorithm of distributed pattern mining to give some sort of solution of the heterogeneity, scaling and hidden Big Data problems. The algorithm has evaluated in parameters like cost, speed, space and overhead. Researchers’ used IoT as the source of Big Data that generates heterogeneous Big Data. In this paper, we are representing the results of all tests proved that; the new method gives accurate results and valid outputs based on verifying them with the results of the other valid methods. Also, the results show that, the new method can handle the big datasets and decides the frequent pattern and produces the associate rule sets faster than that of the conventional methods and less amount of memory storage for processing. Overall the new method has a challenging performance as regard the memory storage and the speed of processing as compared to the conventional methods of frequent pattern mining like Apriori and FP-Growth techniques. 11 30 2019 1178 1183 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4506.119119 https://www.ijitee.org/portfolio-item/A4506119119/