-22b9b34417bc6092a741448 20220110024445967 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Engineering and Advanced Technology IJEAT 22498958 10.35940/ijeat.2249-8958 https://www.ijeat.org/ 10 30 2019 9 1 10.35940/ijeat.9.1 https://www.ijeat.org/download/volume-9-issue-1/ School of Business Management, College of Business, Universiti Utara Malaysia, Sintok, 06010, Kedah, Malaysia Amizatulhawa Mat Sani* Norzieiriani Ahmad School of Business Management, College of Business, Universiti Utara Malaysia, Sintok, 06010, Kedah, Malaysia SanySanuri Mohd Mokhtar School of Business Management, College of Business, Universiti Utara Malaysia, Sintok, 06010, Kedah, Malaysia This paper aims to identify the individual lifestyle measurement (validity and reliability) based on three types of online shoppers’ lifestylefactors; time-oriented lifestyle, price oriented lifestyle and net oriented lifestyle. The selected respondents of this study are online shoppers who have purchased products and services at online shopping website. The data was carried out via mall intercept technique. Result of the study shows that 15 items of online shoppers’ lifestyle scales were grouped into three distinct constructs. This constructs represented three types of online shopper’s lifestyle. Findings of this study will benefit to online sellers in order to develop marketing strategy regarding individuals’ lifestyle factors, especially to those who focusing on the online shopping context. 10 30 2019 2548 2552 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A2621.109119 https://www.ijeat.org/portfolio-item/a2621109119/ Associate Professor of MathematicsR.M.K. College of Engineering and TechnologyChennai. S.M. Chithra* S. Sridevi Assistant Professor of Mathematics, Queens College of Arts & Science (W), Thanjavur. M. Kavitha Associate Professor of Mathematics, St. Peter’s institute of Higher Education and Research, Avadi, Chennai. A Repeated Bayesian game-theoretic line of attackis usedto framecommunicationcontroller in get-up-and-go bring inmeasuring devicelinkages. In wide-ranging, the get-up-and-gostate-run of an get-up-and-go harvesting measuring deviceshow a discrepancy more melodramaticallyby means ofstage as paralleled to old-fashioned battery-powered measuring device. Therefore, every oneget-up-and-goharvesting measuring device is quick to respondto the advertisementget-up-and-go state, which is established as its sequestereddata. This computing expedient adoptsitscommunicate online of attack according to its credence in its challengers'get-up-and-gocircumstances. In attendancebe real Bayesian Nash equipoise (BNE) anywhere a measuring devicethroughget-up-and-gocomplex than its energystarting point will pick incommunicates at immovable influence and time lagor else. We confirmation how each measuring device starting point to make the most of its effectiveness purpose. What is more, we confirmation by means of virtual reality that the presentation of the Repeated Bayesian theory of on for exemplary is on your doorstep to that of a picture-perfect factson forever whereget-up-and-go environments are communal statistics to all sensors. In this section, the mathematical investigation islocated obtainable to help recognize the perceptions of the projected bank of cloud International Data Corporation (IDS) on for prototypical. 10 30 2019 2553 2558 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A2624.109119 https://www.ijeat.org/portfolio-item/a2624109119/ Department of Information Technology, Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Avadi, Chennai, India. Affiliated to Anna University, Chennai, J. Velmurugan* S. Manjula Department of Electronics and Communication Engineering Rajalakshmi Institute of Technology Fog computing is an extended and distributed infrastructure where the application processes are managed between the end devices and the edge of the grouped system for better and reliable services. Fog computing is a non-insignificant augmentation of cloud which comes in to the same security and production difficulties of cloud computing. Existing conventional techniques like digital certificates and signature verification schemes suffers due to the advancement of cyber criminals in revoking the certificates. To enable authentication and confidentiality among a group of gathered fog nodes, in this paper, a novel CP-ABE based scheme along with multi-factor user authentication (CP-ABE-MA) is proposed. Further, the paper uses some obfuscation technique which obscures the data to evade the illegal user access. In general, the cloud is a RAW data type which consists of any data format, hence respective on the data type the encryption conversion can be used. CP-ABE can be connected to letters in order and alphanumeric sort of information and jumbling can be connected to a numeric kind of information. Applying encryption methods on the cloud information will give more security against unapproved use. Privacy could be accomplished with a blend of encryption and confusion. In order to evaluate the efficiency, the proposed protocol is implemented and tested in AVISPA and compared with the certificate-based schemes. Further, the proposed protocol outflanks the existing certificate based schemes with 97% accuracy. 10 30 2019 2559 2566 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F8413.109119 https://www.ijeat.org/portfolio-item/f8413088619/ Department of Civil Engineering,, MANIT, Bhopal, India Mukul Kulshrestha* Nagendra Prasad Singh Department of Civil Engineering, MANIT, Bhopal, India WHO prescribed sanitary inspections constitute useful monitoring tools, besides being effective and economic in identifying drinking sources of water at risk in terms of contamination. In the present case, the contamination risks in potable waters from Tubewells fitted with handpump were evaluated across 9 districts in India. Field inspections were conducted in WHO prescribed format on Three Hundred Twenty Four sources of potable water used by the community for withdrawing drinking water to evaluate occurrence of contamination risk. The theoretical risk thus assessed was then compared with actual test results of biological testing in the laboratory for assessment of Coliform bacteria using a standard MPN test. The results of the study indicate that WHO format based sanitary survey results are more stringent than reality, and hence overestimate the risk. The results also indicate that the risk categories are mostly distributed with a majority of risk focused in the middle in the High and Medium risk categories. 10 30 2019 2567 2570 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9343.109119 https://www.ijeat.org/portfolio-item/a9343109119/ Lovely Professional University, Phagwara, Punjab 144411 India, 2Symbiosis Institute of Technology, Symbiosis International (Deemed University), Lavale, Pune 412115 India. Apoorva Shastri* Saaloni Sharma DLF Centre,Bank of America ,Sansad Marg ,New Delhi Aniket Nargundkar Symbiosis Institute of Technology, Symbiosis International (Deemed University), Lavale, Pune 412115 India. A heuristic technique is a perspective used for problem solving, which employs a problem specific domain knowledge which might not be optimal, but sufficient for the immediate goals. The most common heuristic is trial and error, employed everywhere and anywhere. One such application is Circle Packing Problem (CPP), which is difficult to solve as it is a NP problem which is of high theoretical and practical value. In this paper we consider uniform packing of unit circles (diameter 2) in an enclosing circle. To make this study possible a class of heuristic global optimization algorithm, the Energy Paving Algorithm and a generated Monte Carlo method were studied. The heuristics applied in this study are – ring and hexagonal. The computational effectiveness of our study has been validated against these sets of algorithms. One of the applied heuristics, Hexagon packing, being a ‘natural’ geometry showed better packing efficiency than existing literature. Our second heuristic shows, higher efficiency in terms of CPU run time but underutilized available outer area. In this study, the circles are packed in 2D which is a simplified version of the various problems existing in nature as container loading, sensor network layout which has been studied by mathematicians, computer scientists and operation researchers. 10 30 2019 2571 2576 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9346.109119 https://www.ijeat.org/portfolio-item/a9346109119/ scholar at Amity University, Noida, India Ritu Nidhi Dr. Tanya Singh Professor and Dy. Director (Academics), Amity School of Engineering & Technology, Amity University, Uttar Pradesh. Dr. DK Lobiyal Professor, School of Computer & Systems Sciences, Jawaharlal Nehru University, New Delhi. Indian languages are spoken by more than 90% of its population while most of the higher education happens in English medium. The policy makers in Indian government have realized that by introducing multilingual education electronically, they can reach out to the remotest corner of India and educate all in their mother tongue. The New Education Policy (NEP) draft just released by the government puts a heavy focus on mother tongues in education. The recent initiatives and focus on Natural Language Processing/ Artificial Intelligence (NLP/AI) in education through e-learning is not too surprising in this context. The paper presents the current initiatives in these directions by the government of India, surveys available NLP technologies particularly those for automatic translation of educational content developed by academia and industry and focuses on the Maithili language community. India's education needs are diverse and the success of e-learning depends heavily on the availability of necessary NLP tools in all languages. Almost all of major scheduled Indian languages are considered "resource-poor". While some of these languages may have the basic tools, they lack quality translation tools for delivering education in native language. The situation is more challenging in those languages where even the most basic resources and tools do not exist. Maithili - a language of Bihar and Nepal is such a language. The paper also presents an effort to develop MT resources and tools for Maithili and its application in delivering multilingual content for education. 10 30 2019 2577 2582 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9348.109119 https://www.ijeat.org/portfolio-item/a9348109119/ Department of Civil Engineering, B.S. Abdur Rahman Crescent Institute of Science and Technology, Chennai, India. Ayisha Sidiqua M* Karpagam V Department of Civil Engineering, C U Shah College of Engineering & Technology, Gujarat, India. Jagadeesh. K Department of Civil Engineering, C U Shah College of Engineering & Technology, Gujarat, India. Ibrahim Y Department of Civil Engineering, B.S. Abdur Rahman Crescent Institute of Science and Technology, Chennai, India. Kanmani. K Department of Civil Engineering, B.S. Abdur Rahman Crescent Institute of Science and Technology, Chennai, India. Today it had become an era of digital world where everything from pen to medicines is available in the internet. Now the youth and the technology are non-separable part. It makes the toughest time consuming job into an easier one. Use of e-learning has a positive trend from school to college education in India. In city schools smart class rooms with projectors for video is available and it improves the level of understanding. In higher secondary level children are provided with tabs such that it can be used for getting the study materials, video lectures, demos, webinars and online tests. Analyzing the efficiency and acceptability of this process is mandatory to assure the educationalist and also the parents. This work focuses majorly in available e-learning systems, skill requirement needed and the merits of e-learning for students. Education has a major role in good community development and also in employment opportunity. This work focuses majorly in available e-learning systems, skill requirement needed and the merits of e-learning for students and society. 10 30 2019 2583 2586 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9360.109119 https://www.ijeat.org/portfolio-item/a9360109119/ MBA, Associate Professor of Strategic Management at The Faculty of Economics & Business, University of Merdeka Malang, Indonesia. Dr. Pudjo Sugito* Drs. Kamaludin MM, Associate Professor of Operation Management at The Faculty of Economics & Business, University of Merdeka Malang, Indonesia. This research intends to analyze the effect of migratory culture toward entrepreneurship through information acquisition. The research population are migrant Madurese entrepreneurs in East Java, Indonesia, with a sampling technique using a proportional random sampling. To accomplish the purpose, the primary data using online survey was collected from a sample of 170 migrant Madura entrepreneurs. Further, the primary data was analyzed by structural equation model with the Partial Least Square data processing program. The research finding demonstrates that migratory culture significantly effect entrepreneurship and information acquisition mediates the effect of migratory culture toward entrepreneurship. It means, both migratory culture and information acquisition support entrepreneurship of migrants Madurese. 10 30 2019 2587 2591 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9365.109119 https://www.ijeat.org/portfolio-item/a9365109119/ SCSE, Vellore Institute of Technology, Chennai, India. Vishal Shah Dr. Shridevi S SCSE, Vellore Institute of Technology, Chennai, India. Data Science is a field in which multidisciplinary blend of data inference, algorithm development, and technology are combined in order to solve analytically complex problems. Data science field tend to focus on a complex and large algorithmic technological problem having data at the core. Students at the starting of the learning phase don’t know all the technological and algorithmic aspects related to data science. Consulting through faculty or knowing from external source helps them to proceed towards the needed expertise that they want to gain. Data science recommendation system using semantic web data-science ontology and service-oriented architecture is proposed in our work to recommend students the appropriate resources for their queries. Recommending student significant information concerning books, on-line documentation, software tools, public code repositories, and experts, tutors to be contacted based on student query or previous exam scores is the main objective of the work. Ontology based service-oriented web platform with a conversational user interface that use NLP (Natural Language Processing) to recommend possible resources is proposed and tested to be efficient 10 30 2019 2592 2599 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9375.109119 https://www.ijeat.org/portfolio-item/a9375109119/ Non-Commercial Joint-Stock Company “Zhangir Khan West Kazakhstan Agrarian-Technical University”, Uralsk, Kazakhstan. Rashid Sagitovich Karmaliyev* Zhangeldi Tarihovich Ussenov Non-Commercial Joint-Stock Company “Zhangir Khan West Kazakhstan Agrarian-Technical University”, Uralsk, Kazakhstan. Bekzhassar Mustakhapovich Sidikhov Non-Commercial Joint-Stock Company “Zhangir Khan West Kazakhstan Agrarian-Technical University”, Uralsk, Kazakhstan. Bulat Ermekovich Aituganov Non-Commercial Joint-Stock Company “Zhangir Khan West Kazakhstan Agrarian-Technical University”, Uralsk, Kazakhstan. Balaussa Otargalievna Yertleuova Non-Commercial Joint-Stock Company “Zhangir Khan West Kazakhstan Agrarian-Technical University”, Uralsk, Kazakhstan. Dosmukan Ermukhanovich Gabdullin Non-Commercial Joint-Stock Company “Zhangir Khan West Kazakhstan Agrarian-Technical University”, Uralsk, Kazakhstan Purpose of the study. This study aims to determine the helminthofauna of cattle and saiga and identify the main types of helminths in the region of West Kazakhstan. Materials and methods. To study the infestation of cattle and saiga by helminths, the authors used the Fulleborn flotation method. The identification of strangulate to the genus was carried out on the basis of the morphological structure of infective larvae according to P. F. Polyakov and the method of helminthological dissection according to K. I. Skryabin. Thelazia were washed out of the conjunctival sac with a syringe with a stream of a 3% solution of boric acid. Parenchymal organs (liver, lungs) were examined for the detection of cysts of larval custodies. Results and discussion. Common helminth fauna was observed in cattle and saigas in West Kazakhstan. The results of Fulleborn helminthic and ovoscopic studies of animal feces showed that cattle and saigas were infested with strangylata of the digestive tract of the Trichostrongylidae family from the genera Nematodirus, Haemonchus, Trichostrongylus, as well as the larval cestodoses of Echinococcus granulosus (larvae). Prevalence of cattle infestation with digestive tract strongylata averaged 31.3% and with E. granulosus (larvae) — 35.8%. Prevalence of the infestation of saigas with the nematodes of the digestive tract was 32.0% and with larval cestodoses averaged 16.5%. The contacts of saigas and cattle in pasture areas lead to a common composition of helminths. Saigas are a natural reservoir and a constant source of helminth infestation for domestic ruminants in the West Kazakhstan region. Therefore, when planning treatment and prophylactic measures against helminth infections, this factor should be taken into account. Conclusions. In West Kazakhstan, nine species of helminths were found in cattle, and fourteen species were found in saigas of the Ural population. All species belong to the classes Cestoda and Nematoda. The contacts of saigas and cattle in pasture areas lead to a common composition of helminths. Novelty of study. This is the first comparative analysis of the helminth fauna of cattle and saiga. The authors have determined the prevalence and intensity of infestation of the main helminths in the saiga organism in the conditions of West Kazakhstan. 10 30 2019 2600 2604 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9377.109119 https://www.ijeat.org/portfolio-item/a9377109119/ Head of the Department, Civil Engineering Department, Pace Institute of Technology and Sciences, vallur, prakasam dist., Andhra Pradesh, India. G,Ganesh Naidu* M.Sri Durga Vara Prasad Assistant professor, civil department, Pace institute of technology and sciences, vallur, prakasam dist., Andhra Pradesh, India. N.Venkata Kishore PG scholar, Pace institute of technology and sciences, vallur, prakasam dist., Andhra Pradesh, India. R.Hari Prasad Assistant professor, civil department, Pace institute of technology and sciences, vallur, prakasam dist., Andhra Pradesh, India. Recycling of plastic is one of the major issues in the today’s world .In this paper, study is carried on properties on concrete using poly ethylene terephthalate waste fibers (PET). PET fibers are replaced with fine aggregate by 10,15,20,25 and 30%. Concrete is tested for fresh and hardened properties. Slump test is conducted to find out the workability of concrete. To check the mechanical properties of concrete compressive strength, flexural strength tests are conducted on concrete specimens. 10 30 2019 2605 2607 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9849.109119 https://www.ijeat.org/portfolio-item/a9849109119/ Assistant Professor, Department of E.C.E J.N.T.U.A., Anantapuramu, India. S. Aruna Deepthi E.Sreenivasa Rao* Professor and HoD, Department of E.C.E, Vasavi college of Engineering, Hyderabad, India. M.N. Giriprasad Professor, Department of E.C.E, J.N.T.U. A, Anantapuramu, India, The processing capacity and power of nodes in a Wireless Sensor Network (WSN) are restricted. The quality of the images is deficient, and the contents of the images may vary after decoding when we apply image compression algorithms in WSN. Various compression algorithms are compared in this paper. An Image Compression method based on Restricted Boltzmann Machine (RBM), Auto encoders and Non-negative Matrix Factorization (NMF), Least Square Non-Negative Matrix Factorization (LSNMF), Projective Non-Negative Matrix Factorization (PNMF) network are proposed in this paper. For the WSN, we have used a Message Queue Telemetry Transport (MQTT) protocol. We have used a three Raspberry Pi’s to build a WSN; Publisher, Broker, Subscriber. A Publisher, where it can trigger the camera and captures the images then compress it and send it to another raspberry pi which is a MQTT broker. The PSNR values for those image compression methods were analyzed and compared against each other for images evaluated from the MNIST dataset. Along with the simulation results, all these compression methods are implemented using hardware implementation. Raspberry Pi, a single-board computer with in-built Wi-Fi capabilities, was used in establishing a WSN. Message Queue Telemetry Transport (MQTT) protocol was used for transmitting the compressed images across the WSN, that offers fast and reliable transmission. 10 30 2019 2608 2615 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9851.109119 https://www.ijeat.org/portfolio-item/a9851109119/ Pervasive Computing & Educational Technology (PET), Faculty of Information & Communication Technology, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia. Che Ku Nuraini Che Ku Mohd* Faaizah Shahbodin Pervasive Computing & Educational Technology (PET), Faculty of Information & Communication Technology, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia. Suriawati Suparjoh Pervasive Computing & Educational Technology (PET), Faculty of Information & Communication Technology, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia. Nur Alya Sahira Muhamad Khidir Pervasive Computing & Educational Technology (PET), Faculty of Information & Communication Technology, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia. Many young children with ASD have difficulty learning the language spoken. Some kids can use just single words while others can create sounds. Someone else couldn't talk at all. Communication is a vital skill in life that contributes to improved interactions and quality of life. Researchers think it's difficult for all young children who have communication impairments to generate and maintain a mental representation in conjunction with the instant fact, that building capabilities are critical. A child with ASD can be taught to interact in numerous distinct ways. For example, a child can study to use the sign language, exchange objects or images and use a voice output electronic device. All these methods of communication are efficient and useful, but we would also like to teach the child to interact with the language spoken. The questionnaire has been distributed to the target user who is a special education teachers from PEMATA for user acceptance testing. Each respondent runs individual tests after the developer provides a brief explanation of the application. They need to scan and test the augmented reality applications on recipe book. 10 30 2019 2616 2620 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9853.109119 https://www.ijeat.org/portfolio-item/a9853109119/ Department of Civil Egg., Centurion University of Technology and Manangement, Bhubaneswar, India. Rakesh Kumar Jena* Pratap Kumar Pani Department of Civil Egg, Indira Gandhi Institute of Technology, Dhenkanal, India. Sudeep Kumar Singh Department of Mechanical Engg., Centurion University of Technology and Manangement, Bhubaneswar, India. Prasant Kumar Nayak Department of Civil Engg., Centurion University of Technology and Manangement, Bhubaneswar, India. The presented research focuses on the experimental investigation to calculate the suitability of using recycled brick ballast obtained as demolition debris to serve as partial substitute to coarse aggregates for concrete of different grades like M10, M15, M20, M25 and by varying the product mix in different replacement proportions as 0%, 25%, 50%, 75% and 100% by weight. The proposed methodology is based on a series of tests carried out, focusing mainly on the workability and characteristic strength analysis of concrete with graded brick ballast and comparing them with the conventional cement concrete. The experimental work included several types of concrete made keeping the water-cement ratio as 0.45 and with target slump value 70-100 mm. The influence of replacing different percentages of coarse aggregates to produce different concrete grades was closely observed. The conclusion drawn from the test results conforms, the possibility to use brick ballast in concrete for M25 grade with 25% by weight of the coarse aggregate as optimum value. 10 30 2019 2621 2625 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9860.109119 https://www.ijeat.org/portfolio-item/a9860109119/ Department of Mechanical Engineering, Saveetha School of Engineering, Chennai, India. M. Saravanan* Dr. C. Thiagarajan Department of Mechanical Engineering, Saveetha School of Engineering, Chennai, India. Dr. S. Somasundaram Department of Mechanical Engineering, National Institute of Technical Teachers' Training and Research, Chennai, India This work elaborates the experimental work on Material Removal Rate (MRR) and Surface Roughness (SR) output conditions of Wire-Electrical Discharge Machining (WEDM) and finding the optimal input conditions through Taguchi method coupled with Grey relational analysis for lower SR and higher MRR during profile cutting of high strength D3 tool steel, which is the need of the hour in industries. The machining factors considered for investigation which influences MRR and SR were: cutting speed, pulse on-time and off-time, input current, wire tension and feed and servo feed and voltage. A L18 orthogonal array was considered for mixed-level experimental design through Taguchi’s approach and for multi-criteria optimization Grey Relational Analysis was applied. Outcome shows that SR increases with the increase of pulse on-time and decreases with increase in pulse off-time and MRR increases as the pulse on-time increases due to longer spark duration. Both SR and MRR are well within the control limits and servo voltage is the most influential parameter contributing by 48.48%, followed by wire feed rate, input current and servo feed rate with an R2 value of 95.85%, identified through Analysis of Variance (ANOVA). With obtained optimum conditions, a validation experiment was conducted to authenticate the results, which indicates a worthy agreement with predicted output characteristics. 10 30 2019 2626 2636 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9865.109119 https://www.ijeat.org/portfolio-item/a9865109119/ Assistant Professor, Department of Civil Engineering, Periyar Maniammai Institute of Science and Technology, Vallam, Thanjavur. Ms. S.J.Princess Rosaline Dr. R. Jayanthi Professor & Head, Department of Civil Engineering, Periyar Maniammai Institute of Science and Technology, Vallam, Thanjavur. This study presents the experimental investigation carried out to study the mechanical properties of concrete with and without the addition of fibres to it.d Concrete is the most consumed material in the world which has the property of strong in compression and weak in tension. Also plain concrete possess very limited ductility and little resistance to cracking. Hence fibres are introduced in the concrete to improve the tensile strength & brittleness of the concrete. These fibres which are closely spaced and dispersed uniformly in the concrete arrest the micro and macro cracks and improve the tensile strength of concrete. Concrete admixed with such fibres are known as Fibre Reinforced Concrete. The combination of two (or) more fibres called as Hybridization is carried out in this work. M25 grade concrete is designed as per IS 10262:2009 with the volume fraction of 0-1.5%. The workability of the concrete is affected due to the addition of fibres and hence super plasticizers are added to the concrete. The fibres considered for the study are (i) Crimped Steel Fibre (0-1.5%) and (ii) Shortcut Glass Fibre (0.1-0.2%). The behaviour of the hybrid fibre reinforced concrete is investigated by conducting compressive strength test on cube specimen of size 150mmx150mmx150mm and split tensile strength test on cylinder specimen of size 150mm diameter and 300mm height. From the experimental results, the optimum fibre combinations for maximum compressive strength and spilt tensile strength of concrete are identified. 10 30 2019 2637 2641 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9869.109119 https://www.ijeat.org/portfolio-item/a9869109119/ Asst Prof, Dept Of CSE GVP College of Engineering for Women Visakhapatnam. Mr B L V Vinay Kumar* Dr K Raja Kumar Asst Prof, Dept Of CS&SE, Andhra University Visakhapatnam The purpose of this paper is to explore the applications of blockchain in the healthcare industry. Healthcare sector can become an application domain of blockchain as it can be used to securely store health records and maintain an immutable version of truth. Blockchain technology is originally built on Hyperledger, which is a decentralized platform to enable secure, unambiguous and swift transactions and usage of medical records for various purposes. The paper proposes to use blockchain technology to provide a common and secured platform through which medical data can be accessed by doctors, medical practitioners, pharma and insurance companies. In order to provide secured access to such sensitive data, blockchain ensures that any organization or person can only access data with consent of the patient. The Hyperledger Fabric architecture guarantees that the data is safe and private by permitting the patients to grant multi-level access to their data. Apart from blockchain technology, machine learning can be used in the healthcare sector to understand and analyze patterns and gain insights from data. As blockchain can be used to provide secured and authenticated data, machine learning can be used to analyze the provided data and establish new boundaries by applying various machine learning techniques on such real-time medical data. 10 30 2019 2642 2645 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9871.109119 https://www.ijeat.org/portfolio-item/a9871109119/ Department of mathematics, JNTUH College of Engineering,Kukatpally,Hyderabad,India B. Shankar Goud* G. Narender Department of H&S(Mathematics), CVR College of Engineering,Hyderabad, Telangana State, India E. Ranjit Kumar Department of Mathematics, Kakatiya Institute of Technology and Science, Warangal, Telangana. In this work, the permeable system of a viscous fluid which impacts a porous stretching surface by heat generation, an investigation has been conducted on a steady laminar flow. Governing equations are converted into nonlinear ordinary differential equations by using the similarities and the solutions are obtained by using the shooting technique. The influences of the dimensionless parameters on the momentum and energy equations. Impacts on together flow and heat transfer from porosity, stretching of the medium of the velocity of the surface and heat generation /absorption factor are exhibited through graphs and deliberated. 10 30 2019 2646 2650 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9880.109119 https://www.ijeat.org/portfolio-item/a9880109119/ Department of Mechanical Engineering, St.Joseph’s Institute of Technology, Chennai 119, India Arthur Jebastine Sunderraj D* Arun Vasantha Geethan K Department of Mechanical Engineering, St.Joseph’s Institute of Technology, Chennai 119, India Ananthapadmanaban D Department of Mechanical Engineering, SSN College of Engineering, Kallavakkam-110, India The scanning electron microscopy (SEM) and energy dispersive X-Ray analysis of the Al-Fe alloy revealed the formation of varying ironaluminide intermetallic compounds. The Al-Fe alloys were produced by varying the composition of Fe. The pure ‘Al’ billets were heated up to 750оc and in the molten condition of aluminium ‘Fe’ powder was added resulting in an exothermic reaction. The exothermic reaction raised the molten bath temperature to ~ 1400оc which activated the formation of intermetallic compound. 10 30 2019 2651 2654 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9881.109119 https://www.ijeat.org/portfolio-item/a9881109119/ Pursuing Ph.D., Department of Computer Science & Applications, M. D. University, Rohtak, India Ms. Munisha Dr. Nasib Singh Gill* Professor, Department of Computer Science & Applications, M. D. University, Rohtak, India Mobile computing is rapidly growing due to powerful, cheaper and smaller devices in a smart environment. By creating smart devices with mobile communication abilities, the idea of being connected anytime, anywhere and anyhow has become reality. Group of smart devices creates a mobile network (Ad Hoc Network) while communicating directly and wirelessly. When mobile nodes move, the topology changes frequently and dynamically, at that time security or some network management mechanism is required. By reviewing the functional mechanism, advantages, and disadvantages of previous routing protocols, new routing protocols can be designed for MANET and performance evaluation of different protocols is very important for the designing of a new mechanism. Various routing protocols have been designed for MANETS but these are not sufficient for all the needed requirements in MANET environment. Comparisons analysis of different protocols have been conducted in these networks using different scenarios, however, they are still not sufficient to make decisions as to which protocol is better for a specific scenario, that's why lot of research is still being conducted, in the design implementation and enhancement of novel protocols in network. This paper presents various securities and safety-related issues of MANET systems, and also advocate the requirement of enhancing routing protocols. MANET protocol has been enhanced to increase the bitrate of active protocol in mobile network and performance comparison carried out between the existing and proposed approach. 10 30 2019 2655 2662 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9882.109119 https://www.ijeat.org/portfolio-item/a9882109119/ ECE, Sri Venkateswara Engineering College, Tirupati, India. M. Mahesh* T R Revanth Kumar ECE, Sri Venkateswara Engineering College, Tirupati, India. Dr. B. Shoban Babu ECE, Sri Venkateswara Engineering College, Tirupati, India. J. Saikrishna ECE, Sri Venkateswara Engineering College, Tirupati, India. Medical Image Enhancement Low contrast is the active study area that the obtained pictures suffer from noise and low contrast. Age of capturing equipment, bad illumination circumstances are the low contrast medical images. Thus, techniques of contrast improved performance are used before being used to enhance the contrast of medical images. Within a tiny range of pixel concentrations, contrast improvement algorithms enhance low contrast image. Low contrast image enhancement is accomplished using Equalization of Contrast Limited Adaptive Histogram. CLAHE image enhancement is used to enhance the quality of medical images with low contrast. DWT image, sub-bands such as LL, LH, HL, HH are decomposed. 2D Adaptive fusion image on discrete wavelet transformation is used to fuse the main and CLAHE output images. The efficiency of the output is calculated using merged image entropy and PSNR. It is discovered that the visual content of low contrast medical pictures is enhanced effectively on the basis of 2D DWT and adaptive Fusion. 10 30 2019 2663 2667 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9885.109119 https://www.ijeat.org/portfolio-item/a9885109119/ CSE department, GRIET, Hyderabad, India. K. Vanisree* Dr. B. Sankara Babu* CSE department, GRIET, Hyderabad, India. The real information in other hand for large generous datasets either is direct data oriented stores or circulated license frameworks, in Hadoop being the prevailing open-source lifetime for 'Huge Data'. Real complete clamber stockpiling beginnings, be stroll as it may, bid urge for the competent allotment of expansive datasets over the Internet. Those frameworks that are generally utilized for the spread of extensive records, similar to Bit Torrent, should be adjusted to deal with difficulties, for example, organize joins with both high dormancy and high data transfer capacity, and versatile stockpiling backends wind are streamlined for gushing what's more, not unpredictable access. In this paper, we genuine Dela, a be awarded pounce on lead order supervision structural into the Hops Hadoop stage depart gives a start to finish answer for dataset sharing. Dela is intentional for colossal emerge amassing back ends and counsel trades that are both non-interfering to physical TCP change house and give predominant encipher throughput than TCP on high latency, high transmission capacity organize joins, for example, transoceanic system joins. 10 30 2019 2668 2671 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9886.109119 https://www.ijeat.org/portfolio-item/a9886109119/ Associate Professor in the department of Civil Engineering on Aarupadi veedu institute of Technology. Dr.D.S. Vijayan Mr. S. Arvindan Assistant professor in Anand school of architecture Affiliated under Anna university Mr.K. Naveen Kumar Professor in the department of Civil Engineering on Aarupadi veedu institute of Technology. Mr.S.Mohamed Javed Graduation in civil Engineering from Aarupadi Veedu Instuite of Technology Tall buildings structure has been a considerable increase in both residential and commercial as well as modern Trend structures. There are two systems comprise the most attractive and commonly used now a days are flat slab and shear wall system. Flat slab is most widely used system in reinforced concrete construction in offices, industrial buildings etc. It supports floor slab without beams. When it comes to seismic performance or lateral force flat slab tall buildings without shear wall is relatively less when compared to with shearwall.in this study I have done two models of flats slab tall buildings one with shear wall and another one without shear wall by using ETABS software. The comparison of analysis results will take place in order to see how both a buildings are performing under lateral and seismic loads and finding a seismic parameters like time period, base shear, lateral displacement, and storey displacement are checked out. 10 30 2019 2672 2675 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9732.109119 https://www.ijeat.org/portfolio-item/a9732109119/ School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, TN, India. Anant Kakrania Dr. Kakelli Anil Kumar Associate Professor, School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, TN, India. It is highly common for organizations to receive anonymous donations. Financial resources with centralized leadership are far easily prone to corruption. There is a need to decentralize the distribution of resources. This can be achieved using blockchain. It is a transparent, decentralized and distributed technology which operates without a central control organ. The main purpose of this system is to eliminate the corruption in organizations by means of which, black money is legalized or resources are manhandled. The system will be decentralized, not owned or operated by a single person or organization but rather shared among users. We have developed a blockchain-based Donation System capable of decentralizing the resources used by a given organization. The user may create any new organization and others will be able to donate money in the organization in the form of ether. This resource can only be used by the organization after getting consent from the users in network. This makes the people the actual owners of the resources and brings transparency to the entire process of charity fund system. Thus, making wrong and illegal use of money donated to organizations will be minimized to a great extent and thereby, corruption will be reduced with the use of this blockchain system, solving problems in many nations. 10 30 2019 2676 2681 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9735.109119 https://www.ijeat.org/portfolio-item/a9735109119/ Department of Computer Science Education, Universitas Pendidikan Indonesia, Bandung, Indonesia. Lala Septem Riza* Beni Handoko Department of Computer Science Education, Universitas Pendidikan Indonesia, Bandung, Indonesia. Yaya Wihardi Department of Computer Science Education, Universitas Pendidikan Indonesia, Bandung, Indonesia. Herbert Department of Computer Science Education, Universitas Pendidikan Indonesia, Bandung, Indonesia. The subject of algorithm and programming is one of the important knowledge that need to be mastered by students in computer science. To learn it, students are required to have several skills, such as logic, critical thinking, problem solving, etc. Therefore, the purpose of this research is to design and build multimedia applications to support critical thinking, called computational stories, on studying basic programming with a problem-posing model approach by involving cases in everyday life. In this application, students are given some cases in the form of code with the C programming language. Then, students are asked to arrange a correct story line from the choices available. From this research experiment, the results show that this multimedia can improve critical thinking based on comparison of pre-test and post-test results with an average of 32.9 to 72.47. With an average gain value of 0.58 included in the medium category. 10 30 2019 2682 2685 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9738.109119 https://www.ijeat.org/portfolio-item/a9738109119/ School of Electrical Engineering, Vellore Institute of Technology , Vellore, Tamil Nadu, India, Bagyaveereswaran V* Shivam Kumar School of Electrical Engineering, Vellore Institute of Technology , Vellore, Tamil Nadu, India, N. Ruban School of Electrical Engineering, Vellore Institute of Technology , Vellore, Tamil Nadu, India, R. Anitha School of Electronics Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India. In this paper, a Home Automation system based on IoT that employs the integration of cloud networking, microcontroller, smartphone and wireless communication, to provide the user with remote control of various lights, fans, and appliances within their home using their smartphone and store data onto the cloud is presented. It also has safety and security features. This system is designed to be low cost, easy to install, compatible with existing home appliances and expandable allowing a variety of devices to be controlled. We tackle the problem of high cost, use of proprietary wireless technology by various companies which are incompatible with each other, incompatibility with existing home system and difficulty of use by designing an IoT system which is based on low-cost open source technology. 10 30 2019 2686 2690 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9741.109119 https://www.ijeat.org/portfolio-item/a9741109119/ Mechanical department, St. Joseph’s Institute of Technology, Chennai, India. S.A. Muhammed Abraar* M. Rameeza Mechanical department, CVRDE, Chennai, India. B. Ramesh Mechanical department, St. Joseph’s Institute of Technology, Chennai, India. We have involved in the design & development of 600 hp indigenous engine with an aim to suit the power-pack requirements of our vehicle. In view of the above, it is planned to analyze the crank train components viz., Piston, Connecting rod, Crankshaft etc., for their structural strength for the given load condition. Hence it is proposed to carry out a detailed static, quasistatic and buckling analysis of connecting rod. The objective of this study is to analyse the connecting rod of the 600 hp diesel engine for the induced stresses due to static, quasistatic and buckling load. The net force acting due to the gas pressure and the inertia, is applied on the top of the piston. The reaction forces produced at each end of the connecting rod were predicted and given as input load for this analysis from the data generated through simulation. This report predicts the induced stresses and the buckling load estimation by the connecting rod of 600 hp engine. 10 30 2019 2691 2697 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9743.109119 https://www.ijeat.org/portfolio-item/a9743109119/ Department of Electrical Engineering, Jamia Millia Islamia, New Delhi, India. Tanushree Bhattacharjee Dr. Majid Jamil* Department of Electrical Engineering, Jamia Millia Islamia, New Delhi, India. The advancement in technologies applied on substation studies are leading towards substation automation systems (SAS). In SAS network interoperability of substation devices is an important factor that needs good media of communication. IEC 61850 protocol has a greater role in device communications and protection functions of an integrated system. Also this standard can address the problem of interoperability of devices from various vendors. With the implementation of IEC 61850 standards in SAS networks, integration of latest devices like, intelligent electronic devices (IEDs), analog merging units (AMUs) and Ethernet networks are becoming possible. IEC 61850 standards will upgrade a conventional substation model into Digital Substation providing IEDs and modern substation devices are getting installed. In this paper IEC 61850 standard with its various operational levels have been studied for basic understanding of the protocol. A digital substation model with operational architecture has been shown and its various process bus communication messages have been discussed. To establish the concept of interoperability of subsation devices in a substaion model, a digital substation laboratory model has been developed here with IEC 61850 standard implementation. Real time analysis of protection functions with process bus communications of the substation model have been executed. The study of IEC 61850 standard and digital substation with its real time hardware test results will give the reader a clear idea about digital substations, substation devices interoperability operations and protection functions. This implementation and application of IEC standards in substation communication and protection functions can get used effectively in future for testing some other network topology. 10 30 2019 2698 2703 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9748.109119 https://www.ijeat.org/portfolio-item/a9748109119/ Computer Science, Research Scholar, Bharath Institute of Higher Education and Research, Chennai, India. E. Srividhya Dr.A.Muthu Kumaravel Dean, Faculty of Arts and Science, Bharath Institute of Higher Education and Research, Chennai, India. In this work, we proposed an automatic technique to research and detect and examine diabetes through the usage of tongue pix analysis based on Artificial Neural Network (ANN) classifier. There is a sturdy association in between the characteristics of tongue and human health analysis. ANN with a few unique features is used to establish a dating among diseases like diabetes and traits of tongue. Features like Area, Perimeter, Width, Length, Smaller 1/2-distance, Circle Area and Square Area were measured for each tongue. Apart from these Gabor texture features, Hough shape capabilities and color capabilities also extracted. Tongue segmentation is carried out by using the use of vicinity of hobby with shade segmentation. Edge features also extracted the usage of canny facet detection. To compare the overall performance of our proposed approach, we behavior experiments on tongue datasets, wherein ANN technique is applied to classify tongue photographs. The proposed approach is compared with SVM classifier. As the experiment’s consequences proven, our proposed method improves the type accuracy by means of 4.99% on common and achieves 99. Ninety-nine% charter category accuracy. 10 30 2019 2704 2710 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9750.109119 https://www.ijeat.org/portfolio-item/a9750109119/ Department of Electrical Engineering, North Eastern Regional Institute of Science and Technology, Nirjuli, Arunachal Pradesh India. Devnath Shah* Saibal Chatterjee Department of Electrical and Electronics Engineering, NIT, Mizoram Aizawl, Mizoram, India. Recently, researchers in the field of Evolutionary Multi-Objective Optimization give a systematic approach for exploring innovative design principles in a conflicting multi-objective optimization problem by analyzing pareto optimal solution using either manual or automated approach. They call it “Innovization” and defined as: “innovation through optimization”. This paper applies manual innovization to multi-objective Optimal Reactive Power Dispatch Problem using Non-Dominated Sorting Genetic Algorithm-II (NSGA-II) as multi-objective optimization algorithm and manually searches for all possible innovative design principles by analyzing multiple pareto optimal solutions. Standard IEEE 30 bus test system is considered for the current work. Simulation results reveal number of innovative design principles. Innovative design principles includes function approximation of relationship between conflicting objectives, characteristics of decision variable with respect to different objectives and actual range of decision variables. Simulation results clearly show much faster convergence when decision variables were obtained using innovative design principles for specified desired objectives as compared to normal case. Results also show some decision variables can be eliminated by setting it to a fixed value, which leads to simplification of optimization problem as the values of these variables remains constant with respect to the values of objective function. 10 30 2019 2711 2719 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9751.109119 https://www.ijeat.org/portfolio-item/a9751109119/ Department of Computer Science, Bharathiyar University, Coimbatore, Tamil Nadu, India. V. Thilagavathi* Dr. N. Nagadeepa Principal, Karur Vellalar College of Arts and Science for Women, Karur, Tamil Nadu, India, Due to the technological advancement in wireless communication, energy-efficient power supply, and semiconductor technology, the smart sensor becomes popular in many applications. In WSN, the private data collected and processed by the sensor node must be protected from the malicious attack. Due to the resource constraint nature of WSN, the traditional security protocols do not apply to this network as it involves huge and complex computation. Furthermore, the energy supplied by the battery is not renewable. This paper proposes a secure cluster-based multiple-hop routing protocol for prolonging the lifetime of WSN and securing the data in transit and storage. This protocol proposes the matrix transposition cryptographic techniques for securing the sensor data. This protocol compares the energy consumption and throughput of two secure routing protocols. 10 30 2019 2720 2723 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9752.109119 https://www.ijeat.org/portfolio-item/a9752109119/ Assistant Professor & Research Scholar, Department of ECE, MITM, Mysuru, Karnataka, India, Veena S. K Dr. Mahesh K Rao Professor & HOD, Department of ECE, MITM, Mysuru, Karnataka, India, With the rising advancement of the multimedia technology, video compression is becoming a challenging problem. Although, there is availability of various standard compression algorithms, yet robust compression performance is yet to be seen in existing compression techniques. This paper also highlights that machine learning plays a significant contributory role in improving the performance of the video compression. Therefore, this manuscript offers a technical insight about the performance of existing video compression technique using machine learning approach. The contribution of this paper is its findings which states that machine learning approach do have significant advantage but the advantageous features are limited by the inherent and unsolved research problem. The core findings of this paper are basically to highlight the strength and limitations of existing methods as well as to highlight the research gap in terms of open-end research problems which requires immediate attention. 10 30 2019 2724 2733 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9756.109119 https://www.ijeat.org/portfolio-item/a9756109119/ M.tech in Hydraulics, Department of Civil Engineering, National Institute of Engineering, Mysore, India Reshma H S P. N. Chandramouli Professor, Department of Civil Engineering, National Institute of Engineering, Mysore, India. Water resources are stressed because of the country's increasing population and increased water requirements. Even though a good understanding of both surface and groundwater hydrological systems make it possible to manage these resources properly. To study the main characteristics of formation of clusters of groundwater levels, statistical analysis has been used. Geostatistics is a class of statistics used to analyze and predict the values associated with spatial or spatiotemporal phenomena. It incorporates the spatial (and in some cases temporal) coordinates of the data within the analyses. The Statistical analysis is applied to monthly groundwater levels fluctuation data over a period of 2004-2017 in Mysuru, Mandya, Chamarajanagara and Hassan districts of Southern Karnataka in India. The groundwater levels data is collected from 197 Observation Wells from the districts. The Statistical methods like K-Means Clustering and Agglomerative Hierarchical Cluster Analysis is used to perform the datasets. Grouping is made using AHC method, during this process results are obtained by graph called Dendrogram. The obtained results are compared with the LULC maps of all 4 districts. Different grouping (cluster) is made for groundwater level fluctuations for proper conclusion to arrive. 10 30 2019 2734 2741 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9758.109119 https://www.ijeat.org/portfolio-item/a9758109119/ Principal Software Test Lead, Zillow Inc, San Francisco, USA. Mayank Mohan Sharna Akshat Agrawal Computer Science, Amity University Haryana, Gurgaon, India. *B. Suresh Kumar Computer Science, Amity University Rajasthan, Jaipur, India. Designing and prioritizing test cases is a very tedious task. Given all the advancements in the world of software testing, on any given day engineers spend several man-hours to identify all possible testing scenarios and preconditions attached with it. Test engineers then use the scenarios and preconditions to write multiple test cases. Every test case has a template skeleton to follow - expected results, actual results, priority, test suite category classification (regression, sanity, smoke, integration, etc.), and the respective software (i.e. version, build, release etc.) that has to be tested. Until now there have been efforts to make test case designing simpler by providing software test engineers with tools and processes. But these tools and processes still needs considerable amount of manual intervention in terms of understanding the requirements, analyzing the quality risks and documentation of all possible test scenarios in order to ensure a high quality software delivery. Man-hours spent on test case design and test case prioritization is directly proportional to the cost involved in building software. Our goal was to make sure that the manual intervention in test case design and test case prioritization is reduced to minimum without imposing any software quality risks. So, that the cost to ship and build software is reduced. With this paper we are presenting a solution to this problem. Our goal here was to use machine learning [5] to do automated test case prioritization and creation of test cases for software. In order to achieve this goal we used supervised machine learning [6] approach based on K-Nearest Neighbor classification model for test case design and test case prioritization [4]. On experimenting with other linear and non-linear classifiers we learnt that they did not prove to be as accurate as K-Nearest Neighbor. Our method of machine learning based automated test case design and test case prioritization can be used by any software development organization to reduce it’s software development cost and time taken to ship software to their respective consumers. This aims to benefit the software development industry as a whole. 10 30 2019 2742 2748 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9762.109119 https://www.ijeat.org/portfolio-item/a9762109119/ Faculty of Computer Science, Mercu Buana University, Jakarta, Indonesia, Adan Hermawan* Indra Ranggadara Faculty of Computer Science, Mercu Buana University, Jakarta, Indonesia, Aries Suharso Faculty of Computer Science, University of Singaperbangsa, Karawang, Indonesia Ifan Prihandi Faculty of Computer Science, Mercu Buanan University, Jakarta, Indonesia, Suhendra Faculty of Computer Science, Mercu Buanan University, Jakarta, Indonesia With problems at the hospital Dr. Cipto Mangunkusumo, namely borrowing linen when nurses make loans to the logistics division, so that the logistics division has difficulty in determining which linen is used more frequently or lent by nurses, because the type of linen that is very much causes difficulties in the division in determining which linen is obliged to return it quickly to the logistics division. In order for linen to be available again in the logistics division, in addition to a very large loan every month, the logistics division had difficulty determining the average loss of linen in one year. That way the problem that occurs to solve this problem is to use a method namely Fuzzy Tsukamoto to determine the average amount of loss of linen and to determine priority linen that will be replaced earlier when the linen change schedule is in progress or the linen return is speeded up by returning the type of linen that is very often used for. After calculating using the Fuzzy Tsukamoto method, priority linen can be produced, including a Bolster, Blanket, Mattress Pad, and Bed Cover. Based on the calculation of Fuzzy Tsukamoto by doing several stages, namely Fuzzyfication, Fuzzy Rule, Fuzzy Inference System, and Defuzzyfication resulting in an average amount of linen loss in one year is 222. 10 30 2019 2749 2755 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9764.109119 https://www.ijeat.org/portfolio-item/a9764109119/ Associate Professor, Department of Computer Science, Quaid-E-Millath Government College for Women (A), Anna Salai, Chennai, India. Dr. (Mrs.) Jasmine Samraj* In the field of agricultural, the crop estimation task entirely depends on the process of detecting and counting the number of fruits on trees. The crop estimation task is mainly used in the agricultural field. Currently, counting the fruits and vegetables manually is performed at several locations. Manual counting has several disadvantages since it consumes too much time and needs an excessive amount of labor. The agriculture productivity can be improved by incorporating the automatic fruit counting technique with a crop management system to gather the information to predict the yield. This information may be used to schedule the harvesting. This research approach creates maps about flowers at the block level. This research work employed the Modified Bat Optimization technique for the generation of a direct map from blocks with no computationally intensive refinement phase. Once the block-level mapping is done, then the ensemble classification is introduced for flower identification, which is reliable against uncertain environments and suitable for various flower species. The proposed technique depends on the Support Vector Machine (SVM) classifier and an Enhanced Convolutional Neural Network (ECNN) for carrying out semantic segmentation. To improve its sensibility towards flowers, this Ensemble Classification Framework (ECF) is fine-tuned with the help of a weighted majority function of apple flower images. Also, a refinement technique is used for all the classifiers to better differentiate between different flower instances. The dataset with pixel-accurate labeling is used for the implementation of the proposed technique. The dataset has images with high resolution. 10 30 2019 2756 2763 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9766.109119 https://www.ijeat.org/portfolio-item/a9766109119/ Department of mechanical engineering, SRM Institute of Science and technology, Kattankulathur, Kancheepuram, 603203. India S. Karuppudaiyan* D. Kingsly Jeba Singh Department of Mechanical Engineering, SRM Institute of Science and technology, Kattankulathur, Kancheepuram, 603203. India. In bone tissue engineering, scaffolds play a vital role in regeneration of tissue. It acts as a template for cell interaction and formation of extracellular matrix to provide structural support to newly formed bone tissues. The scaffold design and manufacturing with additive manufacturing method are still challenging. The parameters of scaffold structure are pore size, pore interconnectivity, porosity, and surface area to volume ratio, strength and stiffness of the material. Among these, porosity is directly influencing stiffness and strength of the structure. Higher porosity can accommodate more number of tissues and interconnected pore allow uniform distribution of cells in the scaffold structure. The objective of this work is to develop scaffold structures with controlled internal architecture using FDM and evaluate the percentage variation in compressive strength and structural modulus of scaffold structures. The internal architecture is controlled by porosity and pore size of scaffold with custom defined tool path of FDM system in pre-processing software. In this work, using the custom defined tool path with minimum slice thickness, the scaffold developed are found with maximum porosity of 82.7% and compressive strength varied from 1.76 MPa to 9.34 MPa and structural modulus of scaffold varied from 52.2 MPa to 212.MPa. These results showed that FDM process is suitable for tissue engineering applications. The material used in this study is ABS, which is biocompatible. 10 30 2019 2764 2768 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9769.109119 https://www.ijeat.org/portfolio-item/a9769109119/ Electronics and Communication Engineering, National Institute of Technical Teachers’ Training and Research, Chandigarh, India. Yadevendra kamal Dr. Kanika Sharma Electronics and Communication Engineering, NITTTR, Chandigarh, India. Vandana Electronics and Communication Engineering, Panjab University, Chandigarh, India Discussion of the work, which proposed the idea of virtual anchor nodes for the localization of the sensor nodes, with having the movement of single sensor node in the circular movement with being optimized by the HPSO. For the ranging the RSSI model has been proposed in the algorithm. As a reference node, single anchor node has been used for the localization of whole network. As of the random deployment of the sensor nodes (target nodes), when the target nodes fall under the range of the mobile anchor node, the Euclidean distance between the target node and mobile anchor node is being calculated. After the calculation of the Euclidean distance the two anchor nodes are being deployed with a difference of 600angle. Using the directional information the projecting of virtual anchor nodes is done, to which the virtual anchor nodes helps in the calculation of the 2D coordinates. While the calculation the mobile sensor node follow ups the circular path. The mobile sensor node considering at a center of the area marks up distance of its maximum range, and with that distance as a radius its goes for other circular path movement if all sensor nodes don’t fell to its range. With its movement at constant velocity the algorithm runs again and again. The performance of the algorithm are done on the factors of the average localization error and convergence time. The problem as of the LoS, with the virtual anchor nodes have been minimized. 10 30 2019 2769 2778 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9776.109119 https://www.ijeat.org/portfolio-item/a9776109119/ CeTRI, Faculty of Electronics and Computer Engineering, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. Raihaan Kamarudin* M.N. Shah Zainudin CeTRI, Faculty of Electronics and Computer Engineering, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. R.H. Ramlee CeTRI, Faculty of Electronics and Computer Engineering, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. M.I. Idris CeTRI, Faculty of Electronics and Computer Engineering, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. The nervous system is a complex yet efficient structure – with superior information processing capabilities that surely surpass any man-made high-performance computer. However, without having a complete architectural blueprint of this “technology,” understanding its underlying mechanisms is a challenging task. Current research has focused on investigating the interactions between neurons. However, this is not sufficient to explain each neuron’s functionality – as they might be physiologically different. One of the approaches to understanding the role of a specific neuron is to observe how its behaviour changes as a network develops. Notwithstanding, observations of biological changes in behaviour accompanying network developmental are experimentally challenging. This therefore creates a new possibility for research exploration: using a network developmental model that can simulate the behaviour of the biological network during the development process. In this research, the biological network of C. Elegans is used as the foundation for the design of the model. Although composed of only with 302 neurons, the nematode's network has the capability of handling complex biological processes, for instance, locomotory and sensory behaviour. In addition, the invariant developmental cell lineage and available network connectivity information provide advantages in terms of analysing the developmental pattern. This creates the possibility of defining a mathematical description of the developmental trajectory. This work aim to design a network trajectory model that is governed by specific rules – a model that has the ability to self-generate a single cell for the multicellular network. For this purpose, a high-processing event-based neural simulator with a 2D virtual environment is developed – to be used for the simulation of a complex multi-stimulus environment. This paper describes the approach and initial design of the network developmental trajectory model. 10 30 2019 2779 2788 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1246.109119 https://www.ijeat.org/portfolio-item/a1246109119/ Department of Science Al-Qur'an and Tafsir, Faculty of Ushuluddin, Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru, Indonesia. Afrizal Nur* Mustakim Department of Information System, Faculty of Science and Technology, Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru, Indonesia. Suja’i Sarifandi Department of Science Al-Qur'an and Tafsir, Faculty of Ushuluddin, Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru, Indonesia. Saidul Amin Department of Faith and Philosophy, Faculty of Ushuluddin, Universitas Islam Negeri Sultan Syarif Kasim Riau, Pekanbaru, Indonesia. Studies related to Tafsir Qur'an have only been carried out based on a manual system or on application-based development. The purpose of this study is to build an application which can classify type of interpretation automatically into two classes, tafsir Bil Ma'tsur and tafsir Bil Ra'yi, can provide user convenience in the Al-Qur-an. KNN algorithm is a reliable algorithm in the classification process, also has many parts of the algorithm. This study was done by applying K-Nearest Neighbor (KNN) algorithm with an accuracy of 98.12%. However KNN had been compared firstly with Modified K-Nearest Neighbor (MKNN) and Fuzzy K-Nearest Neighbor (FKNN) algorithms, where the two algorithms had 98.01% and 88.3% accuracy respectively. MKNN is the best algorithm with the highest accuracy, but also has a high error value by 4.3% which is higher than KNN, 1.9%. From the research conducted, the more text documents used in KNN modeling, the higher accuracy will be. Therefore, in the implementation of this application KNN is used as modeling in the conclusion of Tafsir Al-Qur'an. Tests performed with BlackBox Testing and User Aceptance Test reached value of 100% and 98.8%. 10 30 2019 2789 2795 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9780.109119 https://www.ijeat.org/portfolio-item/a9780109119/ EIE Department, Thapar Institute of Engineering and Technology Manish Kumar Singla* Harkamal Deep Kaur EIE Department, Thapar Institute of Engineering and Technology Parag Nijhawan EIE Department, Thapar Institute of Engineering and Technology, Patiala (INDIA). Power system energy management system is observed as the breakthrough element for load forecasting. Load forecasting is advantageous so as to reduce the generation cost, spinning reserve capacity and increase the reliability of power system. The unit commitment, economic allotment of generation preservation schedule is crucial for short term load forecasting (STLF). In the current times, many techniques are being utilized for load forecasting, but Artificial Intelligence Technique (Fuzzy Logic and ANN) provides improved efficiency as in contrast with conventional technique (Regression and Time Series). In this particular paper, the author main purpose is to reduce flood conditions and drought. The main focus of the author is in the prediction of rainfall with the help of wind variation and temperature, speed. The paper represents a technique of STLF using fuzzy logic. Using Mamdani implication the fuzzy rule base is prepared. The software used for this is Matlab Simulink and fuzzy tool box. By using triangular membership function the forecasted results are obtained. 10 30 2019 2796 2799 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9781.109119 https://www.ijeat.org/portfolio-item/a9781109119/ Ph. D. Research Scholar, Department of CSE, Koneru Lakshmaiah Education Foundation (KLEF), Guntur, A.P.India. Ms.Jyoti Patil Dr.G. Pradeepini Professor, Department of CSE, Koneru Lakshmaiah Education Foundation (KLEF), Guntur, A.P.India. Medical imaging is an emerging field in engineering. As traditional way of brain tumor analysis, MRI scanning is the way to identify brain tumor. The core drawback of manual MRI studies conducted by surgeons is getting manual visual errorswhich can lead toofa false identification of tumor boundaries. To avoid such human errors, ultra age engineering adopted deep learning as a new technique for brain tumor segmentation. Deep learning convolution network can be further developed by means of various deep learning models for better performance. Hence, we proposed a new deep learning algorithm development which can more efficiently identifies the types of brain tumors in terms of level of tumor like T1, T2, and T1ce etc. The proposed system can identify tumors using convolution neural network(CNN) which works with the proposed algorithm “Sculptor DeepCNet”. The proposed model can be used by surgeons to identify post-surgical remains (if any) of brain tumors and thus proposed research can be useful for ultra-age neural surgical image assessments. This paper discusses newly developed algorithm and its testing results. 10 30 2019 2800 2803 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9784.109119 https://www.ijeat.org/portfolio-item/a9784109119/ Reasearch Scholar, Kakatiya University, Warangal, India. Hari Devender Anchoori* Sesha Srinivas Bollapragada Professor and Retired Principal, University College of Engineering, Kakatiya University, Kothagudem, India. Chimneys are distinguished requirements for Power generation and other Manufacturing areas which are vital to be constructed vertically to discharge combustion gases and chemical waste gases to the environment. Due to the hasty growth of mechanization and escalating the requirement to control of Air pollution, the construction of tall Chimneys becomes a regular structure in contemporary circumstances. Tall chimney shells generally designed to resist vertical and lateral loads especially due to the effect of Wind and Earthquake. RCC Chimney shell will transfer these vertical and lateral loads to its foundation system. Soil Structure Interaction (SSI) is the response of soil which impacts the behavior of the structure or behavior of the structure which affects on response of soil. Soil Structure Interaction is essential for tall structures which especially resting on soft soil strata. This review work presents a widespread appraisal of the research presented in the area of RCC chimney and communicates most recent enlightenments and improvements happened in the analysis and design. This paper makes an attempt on focusing the modeling features of RCC chimneys which contains analysis, design aspects and several case studies, with the help of various software programs with the effects of lateral loads and soil structure interaction. The present review paper also corresponds to a complete anthology of the research accomplished on RCC chimney and will gives rationalized technical information for the researchers. 10 30 2019 2804 2809 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9785.109119 https://www.ijeat.org/portfolio-item/a9785109119/ Department of CSE, Daffodil International University, Dhaka, Bangladesh Md. Robel Mia Md. Jueal Mia Department of CSE, Daffodil International University, Dhaka, Bangladesh Anup Majumder Department of CSE, Jahangirnagar University, Dhaka, Bangladesh Soummo Supriya Department of CSE, Daffodil International University, Dhaka, Bangladesh Md. Tarek Habib Department of CSE, Jahangirnagar University, Daffodil International University, Bangladesh Bangladesh is an agricultural country having a tropical monsoon climate. A large variety of tropical and sub-tropical fruits abound in Bangladesh. People of Bangladesh are fruit-lovers too. Currently, most of the people of this country are failing to recognize many of the rare local fruits and the number of this portion of people is increasing day by day. Thus, not only the natural heritage but also good sources of food are being diminished. Performing a machine vision based recognition of these fruits can help people recognize them. In this paper, we perform an in-depth exploration of a computer vision approach for recognizing rare local fruits of Bangladesh. A number of rare local fruits are classified based on the features extracted from their images. For our experiment, we have used a total of 480 images of 6 rare local fruits. We perform some preprocessing on the captured image and then expected features are extracted using image segmentation. Classification of the fruits is accomplished using support vector machines (SVMs). We have achieved 94.79% classification accuracy, which is not only good but also promising for future research. 10 30 2019 2810 2820 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9789.109119 https://www.ijeat.org/portfolio-item/a9789109119/ Electro-Acoustic Research Laboratory, Department of Physics, Nowrosjee Wadia College, SPPU, Pune-411001, Maharashtra, India. Aruna Godase* Farhat Surve Electro-Acoustic Research Laboratory, Department of Physics, Nowrosjee Wadia College, SPPU, Pune-411001, Maharashtra, India. Typical audience seating arrangements in rooms and auditoria warrant reinvestigation of the direct radiator speaker response in the near-direct and far-reverberant fields, as the response data provided by the manufacturer is always ideal and does not account for the effect of those fields. The speaker response characteristics of a variety of direct radiator loudspeakers ranging from the conventional squawker to the full range radiator have been investigated in these fields. The speaker response is investigated in the 50 -10 kHz frequency range, by measuring the A-weighted SPL (sound pressure level) in the near-direct and far-reverberant fields, using an acoustic analyzer. The field-specific characteristic for each of the radiators is determined by fitting the SPL data obtained to an appropriate polynomial. The coefficients obtained thereby, allow an objective field-specific study amongst radiators. When a set of direct radiator loudspeakers is available, it is necessary to configure their application, depending upon the optimum sound quality required for a given enclosure, in near-direct field and far-reverberant field. The outcome of this work assists one to configure the best radiator ensemble for a given enclosure, despite placement constraints. 10 30 2019 2821 2826 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9791.109119 https://www.ijeat.org/portfolio-item/a9791109119/ JSS Academy of Technical Education, Bengaluru-560060, India. Dr. Raghavendra BV* Optimization of multi objective function gain the importance in the scheduling process. Many classical techniques are available to address the multi objective functions but the solutions yield the unsatisfactory results when the problem becomes complex and large. Evolutionary algorithm would be the solution for such problems. Genetic algorithm is adaptive heuristic search algorithms and optimization techniques that mimic the process of natural evolution. Genetic algorithms are a very effective way of obtaining a reasonable solution quickly to a complex problem. The genetic algorithm operators such as selection method, crossover method, crossover probability, mutation operators and stopping criteria have an effect on obtaining the reasonably good solution and the computational time. Partially mapped crossover operators are used to solve the problem of the traveling salesman, planning and scheduling of the machines, etc., which are having a wide range of solutions. This paper presents the effect of crossover probability on the performance of the genetic algorithm for the bi-criteria objective function to obtain the best solution in a reasonable time. The simulation on a designed genetic algorithm was conducted with a crossover probability of 0.4 to 0.95 (with a step of 0.05) and 0.97, found that results were converging for the crossover probability of 0.6 with the computational time of 3.41 seconds. 10 30 2019 2827 2831 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9801.109119 https://www.ijeat.org/portfolio-item/a9801109119/ Ph.D. Student, Anna University Chennai S.D. Lalitha* Dr. K.K. Thyagharajan R.M.D Engineering College, Chennai Facial expression is a standout amongst the most imperative features of human emotion recognition. For demonstrating the emotional states facial expressions are utilized by the people. In any case, recognition of facial expressions has persisted a testing and intriguing issue with regards to PC vision. Recognizing the Micro-Facial expression in video sequence is the main objective of the proposed approach. For efficient recognition, the proposed method utilizes the optimal convolution neural network. Here the proposed method considering the input dataset is the CK+ dataset. At first, by means of Adaptive median filtering preprocessing is performed in the input image. From the preprocessed output, the extracted features are Geometric features, Histogram of Oriented Gradients features and Local binary pattern features. The novelty of the proposed method is, with the help of Modified Lion Optimization (MLO) algorithm, the optimal features are selected from the extracted features. In a shorter computational time it has the benefits of rapidly focalizing and effectively acknowledging with the aim of getting an overall arrangement or idea. Finally the recognition is done by Convolution Neural network (CNN). Then the performance of the proposed MFEOCNN method is analyzed in terms of false measures and recognition accuracy. This kind of emotion recognition is mainly used in medicine, marketing, E-learning, entertainment, law and monitoring. From the simulation, we know that the proposed approach achieves maximum recognition accuracy of 99.2% with minimum Mean Absolute Error (MAE) value. This results are compared with the existing for Micro-Facial Expression Based Deep-Rooted Learning (MFEDRL), Convolutional Neural Network with Lion Optimization (CNN+LO) and Convolutional Neural Network (CNN) without optimization. The simulation of the proposed method is done in the working platform of MATLAB. 10 30 2019 2832 2841 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9802.109119 https://www.ijeat.org/portfolio-item/a9802109119/ Lecturer, Department of Technical Education, Kaduna State College of Education, Gidan Waya, Kafanchan Gimba Dogara Sukri Muhammad Bin Saud Professor, Department of Technical and Engineering Education, Faculty of Education, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, MALAYSIA Yusri bin Kamin Associate Professor, Department of Technical and Engineering Education, Faculty of Education, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, MALAYSIA Mohd Zolkifli bin Abd Hamid B.Sc (HONS) (Food Science & Nutrition), PGDip. Ed (Biology & Science) (UTM), M.Ed (Technical & Vocational Education) (UTM), Ph.D (Technical & Vocational Education) (UTM). Mohd Safarin bin Nordin Dip/Mech. Eng (UTM), B.Tech. Ed (Hons) (UTM), M.Ed (Technical & Vocational Education) (UTM), Ph.D (Technical & Vocational Education) (UTM), Soft skills have become critical in the preparation of employable graduates. The education system must, therefore, aim to ensure quality training for the production of employable graduates. Soft skills are personal abilities that one retains and can adequately be nurtured through active participation of students in the teaching and learning process. It is validated by researchers that the prevalent employability skills deficiencies have been one of the main causes of unemployment globally. Consequently, soft skills have all the potentials for equipping graduates with adequate employability skills. Thus, this study investigated the effect of project-based learning on the development of soft skills among technical students at technical and vocational colleges, Kaduna State, Nigeria Smart PLS software was used to test the developed model. As the sample size for this study was relatively small, the researchers were not certain to have normally distributed data. Subsequently, Smart PLS is appropriate for non-normally distributed data and therefore, it was used to simultaneously evaluate the measurement model, structural models and to confirm the convergent and discriminant validity of the measure. The study revealed that collaborative skills construct have a significant positive relationship with soft skills of technical students at technical and vocational colleges, while communication skills, initiative skills, and problem-solving skills have a positive insignificant relationship with soft skills of technical students at technical and vocational colleges. The findings of this study suggest that the curriculum of technical programs in Nigerian technical colleges need to be reviewed and geared more towards activity-based teaching and learning to enable technical students effectively develop soft skills for employment. 10 30 2019 2842 2847 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9803.109119 https://www.ijeat.org/portfolio-item/a9803109119/ H.O.D., Department of Information Technology, LDRP Institute of Technology and research, Gandhinagar, Gujarat, India. Dr. Mehul Barot* Chauhan Mahaveersinh Student, Department of Information Technology, LDRP Institute of Technology and research, Gandhinagar, Gujarat, India Dheer Wani Student, Department of Information Technology, LDRP Institute of Technology and research, Gandhinagar, Gujarat, India The purpose of this research paper is to make the usefulness of the OBD-II port which is provided in the car. So, what is an OBD port? It is a on board diagnostics tool which acts as a self-diagnostic tool for the car. So here in this paper we will use the OBD port for the functionality. So, we will do this with the help of the Arduino board. The Arduino board is the one which communicates with the OBD port. Takes the data which is being analyzed locally. The main objective of doing this is that there is not much awareness regarding this feature which can be really useful to the owners to maintain their car and monitor their car remotely. We nowadays didn't see much use of this feature generally among the normal people. If we make such a feature available to the customer then there will be a lot more benefits to the customer. As only there are very low number of the people which make the use if these Port. 10 30 2019 2848 2850 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9804.109119 https://www.ijeat.org/portfolio-item/a9804109119/ Ph.D. Scholar, Department of Environmental Engineering, JSS Science and Technology University (Formerly SJCE), Mysuru, Karnataka, India. Bharath M* Dr. B. M. Krishna Associate Professor, Department of Environmental Engineering, JSS Science and Technology University (Formerly SJCE), Mysuru, Karnataka, India. Electrocoagulation (EC) process uses direct electric current source between metal electrode submerged in the effluent that results in electrode dissolution, with a suitable pH, metal ion can form a wide range of metal hydroxide and coagulated species that destabilized and dissolved contaminants absorbed. Electrocoagulation (EC) has been working for the percentage removal of BOD (Biochemical oxygen demand)/ chemical oxygen demand (COD) ratio, Color and COD on leachate in a batch Electrocoagulation reactor using stainless steel (SS) electrode. EC technology depends on so many factors such as electrode material, initial pH, applied voltage, inter-electrode distance, and electrolysis time. From the experimental work, results reveal that the maximum percentage of removal achieved were COD and Color 73.5% and 65.0% respectively and increasing BOD/COD ratio 0.11 to 0.62. The optimum inter-electrode distance 1cm with electrode surface area 35 cm2 and optimum electrolysis time of 120 min at optimum applied voltage 12V, stirring speed 250 rpm and pH 9.8. These results proved that the EC process is an appropriate and proficient approach for treating the landfill leachate. 10 30 2019 2851 2855 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9807.109119 https://www.ijeat.org/portfolio-item/a9807109119/ computer science, University of Diayla, Baquaba, Iraq, Ziyad Tariq Mustafa Al-Ta'i Ebtisam Jumaa computer science, University of Diayla, Baquaba, Iraq, RC6 (Rivest cipher 6) is keyblock chipher which consider symmetric imitative from RC5. It was intended to encounter the needs competition of the Advanced Encryption Standard (AES) . The aim of this work is to add new security layer to RC6 (Rivest Cipher 6) algorithm, because there is some insufficiency in the Key Scheduling Algorithm (KSA) of RC6. This paper presents improved RC6 (IRC6) key generation based on two types of chaotic maps (Chebyshev,2d logistic) to generate N key to N users. The results prove that the average secrecy of IRC6 is better than of traditional RC6, in which: for 32 bits’ key length, and 256 bits’ plaintext size, the average secrecy of IRC6 is (0.536 - 3.907) while for RC6 is (0.254 constant). 10 30 2019 2856 2860 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1075.109119 https://www.ijeat.org/portfolio-item/a1075109119/ Associate Professor, Department of Computer Science India. Dr. S. Sridevi* Process Industrial & their complex control operations require comprehensive simulation software systems for modeling plant dynamics and analyzing gaps and to achieve optimal control efficiency. These models support in training plant engineers on various process scenarios in controlled pseudo real time environment. Higher degree of model designing customization, flexibility, scalability, cost efficiency and domain agnostic solution features, are the desired characteristics of any process simulation framework. This paper formulates prototype design of an integrated generic process simulator platform and its components, enabling intuitive and interactive representation of intelligent model formats, facts, knowledge, rules & behaviors. The benefits range from safer process training, analysis / synthesis of controller models; control optimization and theoretical learning. The simulation performance of proposed framework is verified through material fineness control modeling of rotary vertical grinding mill. The adaptive leaning features, with hybrid prediction model validations results in the simulation accuracy and results are compared with prevalent systems. 10 30 2019 2861 2869 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1101.109119 https://www.ijeat.org/portfolio-item/a1101109119/ SRM Institute of Science and Technology, Ramapuram Campus, Chennai, Tamil Nadu Shashank Singh* Maaz Ahmad SRM Institute of Science and Technology, Ramapuram Campus, Chennai, Tamil Nadu Aditya Bhattacharya SRM Institute of Science and Technology, Ramapuram Campus, Chennai, Tamil Nadu M. Azhagiri SRM Institute of Science and Technology, Ramapuram Campus, Chennai, Tamil Nadu In the financial world, stock trading is one of the most crucial activities. Investors make educated guesses to predict stock market trends by analyzing news, studying the company history, industrial history and a lot of other data. successfully predicting the stock market trends and investing in the right shares at the right time can maximize the investor’s profit or at least minimize the losses. Stock market price data is generated in huge volumes and is affected by various diverse factors. This work proposes two models to predict the stock market prices. The first model is an LSTM model that employs a backpropagation optimized LSTM network to forecast future stock prices. The second model is a hybrid model that combines an SVM model, KNN model and a Random Forest classifier using the Majority Voting algorithm to predict stock market trends. Both models have a sentiment analyzer to factor the news influencing the stock market using Natural Language Processing (NLP). The project aims to help investors who are new to the stock market and don’t possess sufficient knowledge to make share investments as well the experienced investors by predicting stock market trends. 10 30 2019 2870 2875 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1106.109119 https://www.ijeat.org/portfolio-item/a1106109119/ Research Scholar ,Deptt of Computer Science & Engg Ikgptu Kapurthala, Punjab Amandeep Kaur* Anuj Kumar Gupta Professor, Deptt of Computer Science & Engg, CGC, LANDRAN, PUNJAB In this research work, the E-Health monitoring system has been developed using fifteen health indicators. These fifteen features were selected by following a Recursive Feature Elimination with Cross-Validation method. The dataset was labeled as per medical limits and segregated into three classes (normal, borderline and onset of unhealthy state). A rigorous process was followed at each step to find out which linear estimator and model is suitable for classifying health condition of persons. Five regression estimators were evaluated and it was found that logistic regression and linear discriminant analysis methods are providing highest accuracy and lowest error for classifying three health states of a patient. 10 30 2019 2876 2882 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1133.109119 https://www.ijeat.org/portfolio-item/a1133109119/ Department of Mechanical Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India. S. Mohanasundaram* S. J. Vijay Department of Mechanical Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India. Rajakumar S Rai Department of Mechanical Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India. D. Emmanuel Sam Franklin Department of Mechanical Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India. Current industrial trends show increased usage of lightweight high strength materials such as Aluminium, Titanium, Magnesium, etc., in their products and components. To achieve an improved service life, particulates reinforced metal matrix composites are being favored over the monolithic alloys. Researchers have reported undesirable defects and interfacial reactions while trying to fabricate such composites using conventional methodologies. This motivates the present work to use friction stir processing, an allied process of friction stir welding, to fabricate metal matrix composites. Structurally stable and most commonly used AA6061 alloy was taken for the experiment. B4C particles were used as reinforcements. Experiments were carried out using different process parameters like tool revolution and tool traverse speed or processing speed along with a constant axial force. The B4C particles were packed into a 1.5 mm groove on the Al6061 plate and friction processing was carried out. The SEM investigations on the composites showed a defect-free microstructure with a homogeneous distribution of reinforcement particles. It was found that the reinforcements increased the tensile strength of the composite by 50%. The hardness and wear-resistant properties of the composites had also improved considerably. 10 30 2019 2883 2887 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1164.109119 https://www.ijeat.org/portfolio-item/a1164109119/ Professor, Rector of Alisher Navo’i University of the Uzbek Language and Literature, Tashkent, Uzbekistan. Shuhrat Sirojiddinov* Nozliya Normurodova PhD, associate professor, head of intercultural communication and tourism department at Alisher Navo’i University of the Uzbek Language and Literature, Tashkent, Uzbekistan. The study of linguistic personality (LP) in linguopragmatic approach effectively employs pragmatic intentions as a means of representing individual picture of LP by attracting attention, interesting the reader, exerting emotional impact, activizing knowledge structures, stimulating the addressee’s creativity, representing the conceptual world picture. The linguopragmatic analysis is based on lexica-grammatical and linguostylistic ones, and it appears to be their logical continuation in respect of linguopragmatic interpretation of the received data. It is aimed at revealing verbal signals of formation of the pragmatic meanings and their substantial and functional interpretation, defining the pragmatic effect of speech communication. Proceeding from the notion of communicative-pragmatic situation, the analysis of LP is made in the following parameters: subject and aim of communication, social, psychological and individual characteristics of LPs, role and personal relations between LPs. The conducted research confirms the suggested hypothesis that the peculiarity of LP in literary discourse is revealed in a specific linguistic form of reflection of its semantic-stylistic, pragmatic, cognitive, national and cultural characteristics that represent a certain correlate of features of spiritual aspect of LP. The implied findings will be a path to build mental and conceptual correlations in defining LP’s model. 10 30 2019 2888 2893 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1177.109119 https://www.ijeat.org/portfolio-item/a1177109119/ ECE department, Vardhaman College of Engineering, JNTU Hyderabad, India. B. Srikanth* M. Srihari ECE department, Vardhaman College of Engineering, JNTU Hyderabad, India. D. Praveen Kumar ECE department, Vardhaman College of Engineering, JNTU Hyderabad, India. G. Shravan Kumar ECE department, MLR Institute of Technology, JNTU Hyderabad, India. In the present emerging field for the research, the reduction of power has become a major design problem in VLSI technology. As the size of the system shrinking gradually it has become the one the prime concerns in the design of decoders. The main purpose of this paper is to minimize the power and delay capabilities comparison with ordinary CMOS design. To avoid power reduction by introducing a different technique. In this paper we are approaching the adiabatic circuit has been introduced. The power dissipation in the adiabatic circuits can be minimized when compared to conventional CMOS logic. The designing of decoders with the adiabatic logic can reduce the power average power by 10.80% and delay by 21%, 23% and 24% at different voltage levels compared to the conventional CMOS. Finally, Spice simulation results show the comparison results between the existing CMOS decoders and the proposed adiabatic logic-based decoders at 32nm technology in all cases. 10 30 2019 2896 2901 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1179.109119 https://www.ijeat.org/portfolio-item/a1179109119/ assistant professor at the Department of Computer Science, SRM Institute of Science and Technology, Ramapuram Mrs. Baby D. Dayana* Shipra Sinha student at the Department of Computer Science, SRM Institute of Science and Technology, Ramapuram. Apurv Jha student at the Department of Computer Science, SRM Institute of Science and Technology, Ramapuram. Padmini Yadav student at the Department of Computer Science, SRM Institute of Science and Technology, Ramapur The idea is about making vehicles more selfregulating and automatic which may inform or combat vehicle drivers under terrible conditions .The system consist of MQ-3 alcohol sensor to continuously observe the alcohol blood concentration level, to discover the presence of liquor in the breath of a vehicle’s driver. By placing sensor on steering wheel of the vehicle, the system has the capacity to continuously check alcohol concentration level from the driver’s breath. In case if driver is drunk while driving then the CCW system would get activated. Using CCW the car could change its own position and maintain its own speed depending on other nearby vehicles. This would decrease the extent of accident. 10 30 2019 2902 2905 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1182.109119 https://www.ijeat.org/portfolio-item/a1182109119/ Department of Computer Science, Jamia Millia Islamia, New Delhi, India. Samiya Khan* Mansaf Alam* Department of Computer Science, Jamia Millia Islamia, New Delhi, India. Big data is one of the most influential technologies of the modern era. However, in order to support maturity of big data systems, development and sustenance of heterogeneous environments is requires. This, in turn, requires integration of technologies as well as concepts. Computing and storage are the two core components of any big data system. With that said, big data storage needs to communicate with the execution engine and other processing and visualization technologies to create a comprehensive solution. This brings the facet of big data file formats into picture. This paper classifies available big data file formats into five categories namely text-based, row-based, column-based, in-memory and data storage services. It also compares the advantages, shortcomings and possible use cases of available big data file formats for Hadoop, which is the foundation for most big data computing technologies. Lastly, it provides a discussion on tradeoffs that must be considered while choosing a file format for a big data system, providing a framework for creation for file format selection criteria. 10 30 2019 2906 2912 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1196.109119 https://www.ijeat.org/portfolio-item/a1196109119/ Plekhanov Russian University of Economics, Moscow, Russian Federation. Nataliya Stepanovna Plaskova Natalia Alekseevna Prodanova Plekhanov Russian University of Economics, Moscow, Russian Federation. Alexander Sergeevich Samusenko Plekhanov Russian University of Economics, Moscow, Russian Federation. Elmira Arsenovna Erzinkyan State Academic University for Humanities (GAUGN), Moscow, Russian Federation. Karine Alexandrovna Barmuta Don State Technical University, Rostov-on-Don, Russian Federation. Rustem Adamovich Shichiyakh Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russian Federation. The article deals with theoretical and methodological problems of valid information, accounting and methodological support of investment decisions formation given a boost to innovative activity for management at microeconomy and macroeconomy. Based on critical review of regulations and literature, the clear definition of innovative asset, which is an element of intangible assets in an organization, is formulated. Characteristics of objects conformed to characteristics of innovative assets are described for formation of relevant section in accounting policy of an organization performed innovative activity. Tips for perfection in accounting procedures structuring in stages of innovative activity are performed. Contained in the article scientific and practical tips are instrumental in improvement of quality of financial and consolidated reporting disclosure about business activity results. It leads to reliable formation of business image and investment attractiveness of an organization, activation capital inflow to innovation sector of the wider economy. 10 30 2019 2913 2916 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1213.109119 https://www.ijeat.org/portfolio-item/a1213109119/ Professor, Department of Computer Science and Engineering, Sreenidhi Institute of Science and Technology, Yamnampet, Ghatkesar, Hyderabad-501301, Telangana, India Dr. Prasanta Kumar Sahoo K. Lavanya M. Tech. 2nd year, Dept of Computer Science and Engineering. Sreenidhi Institute of Science and Technology, Yamnampet, Ghatkesar, Hyderabad-501301, Telangana, India. In this modern world of internet age social networking is becoming popular day by day for sharing of information and day to day communication. The social media has changed the way people pursue their life and made it a part of their life to get connected with friends, family, colleagues and with the society as a whole. Social networking can occur for social purposes, business purposes by the use of Facebook, Twitter, LinkedIn etc. Hence it has become the favorite spot for the cyber criminals. Facebook is a free social networking website that allows users to upload photos and video, send messages and keep in touch with friends, family and rest of the world. Unfortunately, spammers are also using this Facebook for their personal gain by creating fake profiles or comprising the other famous accounts. These accounts together are referred as malicious accounts. Hence it became important task to identify this spam for free communication over Facebook. However, some former researchers have proposed their work to identify these accounts but suffering from many limitations. In this paper a method is proposed called An unsupervised method to detect spam in Facebook using DBSCAN algorithm. This research work used Jaccard similarity and DBSCAN algorithm to detect spam messages. This research work is implemented using real time messages and evaluated. The experimental results show the methodology used is very efficient, having better accuracy and low false positive rate in detecting the spam messages in Facebook. This research work will help the common man in detecting malicious Facebook accounts in a great way. 10 30 2019 2917 2921 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1228.109119 https://www.ijeat.org/portfolio-item/a1228109119/ Department of Computer Engineering, SIES Graduate School of Technology, Mumbai, India Brijesh Anand Pranav Chandran T Department of Computer Engineering, SIES Graduate School of Technology, Mumbai, India Undeniably the most favored web scripting language is PHP. Almost 80% of the internet’s server-side web applications are written in PHP which includes big giants like WordPress, Wikipedia, and Facebook. In present-day, at an accelerating pace, the quantity of digital content is burgeoning. A heterogeneous set of users' devices is being amassed by these contents and administering these contents manually is an infeasible solution engendering an increasing set of problems. A solution to this problem would be to switch to a web programming language, which can be compiled. We are describing an easy to deploy and a continuous conversion mechanism for converting existing Web 2.0 PHP application systems into Facebook’s HHVM supported Hack server-side application systems. We are trying to use the power of Hack language and amplify the performance of existing PHP server-side applications. Instead of interpreting all of your code Hack translates it to assembly and runs that instead, which can lead to an immense amount of increase in performance. We are using Hacktificator, a tool developed by Facebook Developers and our demo web application running on HHVM to test and convert user’s existing PHP codebase to Hack language. With this proposed methodology we do not have to make any change to existing codebase manually or hire new engineers for the conversion, nor do we have to take down our live systems. Conversion can be done on the fly and will result in approximately 2x to 20x better performance. The availability of this tool can save costs for manual conversion, save time as well as improve the user experience of websites with better performance. 10 30 2019 2922 2924 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1237.109119 https://www.ijeat.org/portfolio-item/a1237109119/ Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia Meiryani* ASL Lindawati Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia Sarah Fauziah Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia This study aims to examine the use of information technology and the effectiveness of accounting information systems on employee performance. The object of this research is the Ministry of Trade of the Republic of Indonesia. The population in this study was 50 employees in 3 units of the ministry of trade, namely the General Bureau unit, the Directorate of Export and Import Facilitation units and the Directorate of Agricultural and Forestry Product Exports. The sample of this research is 3 units in the Ministry of Trade. The sampling technique used in the study was purposive sampling method. The results of this study indicate that (1) the use of information technology has an effect on employee performance, (2) the effectiveness of accounting information systems has no effect on employee performance. 10 30 2019 2925 2931 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1249.109119 https://www.ijeat.org/portfolio-item/a1249109119/ CSE Department, GRIET, Hyderabad, India. Ravalisri Vasam Padmalaya Nayak CSE Department, GRIET, Hyderabad, India. In the ever-advancing field of computer vision, image processing plays a prominent role. We can extend the applications of Image processing into solving real-world problems like substantially decreasing Human interaction over the art of driving. In the process of achieving this task, we face several challenges like Segmentation and Detection of objects. The proposed thesis overcomes the challenges effectively by introducing Instance segmentation and Binary masks along with Keras and Tensorflow. Instance segmentation is used to delineate and detect every unique object of interest according to their pixel characteristics in an image. Mask RCNN is the superior model over the existing CNN models and yields accurate detection of objects more efficiently. Unlike conventional Neural Networks which employs selective search algorithm to identify object of interest, Mask RCNN employs Regional Proposal Networks(RPN) to identify object of interest. For better results Image pre-processing techniques and morphological transformations are employed to reduce the noise and increase pixel clarity. 10 30 2019 2932 2935 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1265.109119 https://www.ijeat.org/portfolio-item/a1265109119/ Department of Computer Science, Rayalaseema University, Kurnool, Andhra Pradesh, India. Krishna Kumar NJ* Balakrishna R Department of Computer Science, Rayalaseema University, Kurnool, Andhra Pradesh, India. The most common progressive neurodegenerative disorder in the fetal nature is amyotrophic lateral sclerosis (ALS). The ALS incidence is approximately 2 per 100 000, with the maximum life span being two to three years after the start of symptomatic growth. However, premature identification may increase the lives of the impacted people. EEG is the most convenient and cheapest technique for measuring brain electrical activity. Automated EEG can be used as the coherent identification biomarker technique which is always connected with fronto-temporal dementia (FTD) in seconds to detect ALS in previous phases of growth. The EEG spatial assessment will show spatial and behavioral structure changes in the fundamental cellular network resulting from FTD and may produce prospective biomarkers for premature identification of ALS. The use of the Dual Tree Complex Wavelet Transformation (DTCWT) technique has developed a novel algorithm. DTCWT can solve the abbreviation of current EEG removal functionality techniques. The spectral leakage is reduced by a ideal rebuilding of the DTCWT measurements, so the suggested algorithm has led to an effective and coherent ALS ranking with a Neural Network (NN). For analyzes, eight EEG datasets, each of the Normal Group and Subject were used, and spectral EEG analysis provided a source of definite biomarkers. The proposed algorithm produced 100 percentage accuracy with respect to the dataset considered in this analysis. 10 30 2019 2936 2944 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1271.109119 https://www.ijeat.org/portfolio-item/a1271109119/ Research scholar, UCCA, Guru Kashi University, Talwandi sabbo, Punjab, India Simrat kaur Dr. Anand Sharma Assistant Professor, UCCA Department, Guru Kashi University, Talwandi This paper presents the analysis of the increasing use of Social Media and its participation during the electoral voting in India with context to Punjab. Besides that, to understand the meaning and impact of especially Facebook on elections, we take survey results collected from different people in Punjab and Facebook data related to different political parties. There are numerous challenges when it comes to engaging people during political campaigns. The current findings in literature show us that previous efforts to involve public participation with prior media tools did not meet the full expectations. With Social Media’s indulgence this could change, because engagementof people seems to be the major concept that explains the difference between the impact of old media and ‘new’ Social Media. The survey explains that Social Media seemed to significantly influence voting behavior during the last general elections (2014). And, during the elections (2019) too, politicians with higher Social Media engagement are expecting relatively more votes within most political parties and banking upon Facebook practices. To conclude, we hereby propose a future research framework which studies how political parties take benefit from Facebook to contrive and convalesce the methodologies they follow with their party members, volunteers and general public. 10 30 2019 2945 2955 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1273.109119 https://www.ijeat.org/portfolio-item/a1273109119/ Research Scholar.at Noorul Islam Centre for Higher, Kumaracoil, Kanyakumari District, Tamilnadu, INDIA. Pradeep Kumar. S Dr. M. Beenamol Associate Professor in the Department of Civil Engineering at Noorul Islam Centre for Higher, Kumaracoil, Kanyakumari District, Tamilnadu, INDIA. Most of the industries have an in-build overhead crane that helps in lifting and transportation of heavy loads from one location of work place to another. Gantry girders are provided to support the loads transmitted through the moving wheels of the overhead cranes. The paper presents the structural health monitoring (SHM) practices that can be implemented for damage detection of gantry girder using Fiber Bragg Grating (FBG) sensors that are positioned on the key parts of the crane. The sensor is designed for monitoring the stress and strain of the girder. The alternating stress was determined based on distributed fiber bragg grating strain sensors. The analysis of the signals based on finite element (FE) models helps to determine the safety condition of the crane. 10 30 2019 2956 2958 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1286.109119 https://www.ijeat.org/portfolio-item/a1286109119/ student in Dept of Computer Science & Engineering at SRM Institute of Science & Technology, Ramapuram. Ritesh Kumar Rajan Priyasha Nandi student in Dept of Computer Science & Engineering at SRM Institute of Science & Technology, Ramapuram. Yugit Chauhan student in Dept of Computer Science & Engineering at SRM Institute of Science & Technology, Ramapuram. Dr. J Jagadeesan professor in in Dept of Computer Science & Engineering at SRM Institute of Science & Technology, Ramapuram. The agricultural system is complex and comprehend since it deals with large data that comes from several factors. Lot of techniques and have been used to identify any interactions between factors affecting yields with crop performance. The major objective of this paper is to help us predict the yield of a particular crop before even cultivating it for its production. We are using artificial neural networks for forwarding and implementing a system that will help the farmers in finding their crop yields according to their given data as input in the system and the system will give output based on previous data. The method used in this crop yield system is an artificial neural network and the algorithm used is feed forward and back propagation. Provide the input of data sets and the desired outcome of the system. Compute the error between the actual and desired outcome of the system. Amendment of the weight associated with different inputs and different functions. Compare the errors and the tolerance ratio of the output. Various machine learning techniques have been used in the past for calculating the crop yield using remote data. However, these methods are less useful and effective for predicting the yield of maize and for some other crops, which is cultivated at different times in various fields.The major application of this crop yield system is that it will help us to predict the yield before even cultivating it by studying the previous data collected such as soil fertility, pH level. 10 30 2019 2959 2965 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1289.109119 https://www.ijeat.org/portfolio-item/a1289109119/ Department of Information Technology, Vels Institute of Science, Technology & Advanced Studies (VISTAS), Chennai, India. Devipriya B Dr Kalpana Y Department of Information Technology, Vels Institute of Science, Technology & Advanced Studies (VISTAS), Chennai, India. Evaluation of internet and the usage of internet as websites which is for penetrating to gain a specific requirements, like group communication as social networks (such as face book, twitter,etc.,) ,blogs for opinions, online portals (such as iGoogle, MSN) for communication, experience as reviews, suggestions as opinions, combination of reviews and opinions as recommendations, ratings and feedbacks which is identified and elevating in almost all the field now-a-days. The writers of online portal, review, opinion and recommendation in any social media take measures as beneficial factor for the improvement of businesses, organization, governments and mostly individuals. When this content boost up the study of content and the need of data mining, text mining techniques and sentiment analysis is inescapable. Natural language processing and text analysis techniques are used in sentiment analysis to recognize and extract information from the text [1]. This paper provides a result of sentiment analysis with the intellectual tool named Rapid Miner to show the sentiment comments about the contents in the online traders. 10 30 2019 2966 2972 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1323.109119 https://www.ijeat.org/portfolio-item/a1323109119/