-74813b3e17f460286df-2241 20220516081827732 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 11 30 2019 8 4 School of Information Technology, RGPV, Bhopal, India. Ankur Gupta* Yogendra P.S. Maravi School of Information Technology, RGPV Bhopal, India. Nishchol Mishra School of Information Technology, RGPV Bhopal, India. In the age of technology social media platform is becoming a great companion for expressing the thoughts, information, and opinion. It became the powerful tool for every person who wants to expand their networks of people beyond the physical boundation. We are living at that age where various categories of social media platform available according to work needed, it may be Facebook, LinkedIn, WhatsApp or Twitter. We are focusing our work on Twitter, It is also known as microblogging site which provides service to express the opinion in limited words. As the popularity of twitter is growing day by day users are joining the platform very fast, as it happens another side many spammers are also taking undue advantages of this platform, for any social media platform it is very important to maintain the secure, safer and trustworthy environment for their legitimate users. Twitter spams are more harmful than e-mail spam because of their higher clickthrough rate, as in the social network if someone trusted some spam a genuine post than it is higher chance that the persons in the network might also trust on that spam post and may click on it. There are plenty of methods available to handle the task of twitter spam detection problem, we are solving this problem of twitter spam at tweet level.Pre-trained models are some breakthrough in the journey of machine learning and natural language processing after their advancement they are of great help. Here we are using Bidirectional Encoder Representation from Transformer (BERT) model to solve the problem as our task is to solve the problem of imbalance dataset as well as the multilingual dataset, BERT makes a clear distinction in this type of task, the main advantage of this type’s model is that we don’t have to collect millions of data for better performance of the machine learning model. 11 30 2019 10620 10623 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4228.118419 https://www.ijrte.org/portfolio-item/D4228118419/ Student, Department of Electronics and Telecommunication, Thadomal Shahani Engineering College (Mumbai University) Mumbai India. Chirag Chandnani* Harsh Belani Student, Department of Electronics and Telecommunication, Thadomal Shahani Engineering College (Mumbai University) Mumbai India. Naman Bansal Student, Department of Electronics and Telecommunication, Thadomal Shahani Engineering College (Mumbai University) Mumbai India. Dr Mani Roja M. Professor, Department of Electronics and Telecommunication, Thadomal Shahani Engineering College (Mumbai University) Mumbai India. Adulteration is extremely basic today and the most normally adulterated nourishment item is milk. The most widely recognized explanation behind adulteration is the utilization by producers of undeclared materials that are less expensive than the right and pronounced ones. Adulteration brings down the nature of nourishment and now and then, harmful synthetic substances are likewise added which can be dangerous to health. Adulteration of products either in liquid or solid form can harm or pose serious health risk issues to the consumer. The present investigation was arranged with the primary goal of recognizing purchasing practices of homemakers and their degree of awareness identified with chosen food items. Being considerate of the health & betterment of the society we have planned a project which will allow the customer to know about the level of purity of product which they are buying and being aware of it in future. 11 30 2019 10481 10486 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4229.118419 https://www.ijrte.org/portfolio-item/D4229118419/ Electronics Engg.,K.N.I.T. Sultanpur, is affiliated to AKTU Technical University Lucknow, India. Gyan Prabhakar* Abhishek Vikram Director, Anchor Semiconductor Industry, California, USA. Rajendra Pratap Fellow and Head Design Centre, Arrow Electronics, Gautam Buddh Nagar U.P. India. R.K. Singh Director of Engg and Technology, DSMNRU (Govt. of India) University, Lucknow, U.P. India This paper presents a comparative study for conventional and contention mitigated level shifter during shifting of level, occurs contention problem in current in the conventional level shifter during the transition. Level shifter control block control and minimize the power of the voltage converter DC circuits. The Multi VDD hopping in the huge circuit for power management is suffering from huge delay and power due to the current contention problem in Level shifter. 11 30 2019 11699 11703 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4231.118419 https://www.ijrte.org/portfolio-item/D4231118419/ Department of Civil Engineering SRM institute of science and technology, kattankulathur, Chennai. Ruby jan Deepa Assistant professor in SASTRA Deemed University, Thanjavur, india. S. Mary Rebekah Sharmila* Assistant professor, Department of Civil Engineering SRM institute of science and technology, kattankulathur, Chennai. Ground improvement procedures give a solid common stage to development exercises and spare time for planning progressively safe structures which would not have been conceivable on powerless and extremely poor soils. Soil treatment in development building plans to improve the dirt properties, for example, total security, quality and disintegration opposition. Customary soil treatment materials have a few inadequacies, particularly from the natural perspective. In this way, there is a requirement for an appropriate eco-accommodating material to supplant the customary materials. In this examination, Xanthan gum is utilized as soil improvement material. Xanthan gum (XG) is a microbial exopolysaccharide created by the action of gram- negative bacterium Xanthitalics Campestris through maturing sucrose, glucose or other sources of sugar. This biopolymer is associated in the sustenance, restorative, pharmaceutical and petrochemical organizations and in various fragments as a thickener, stabilizer, or emulsifier and when united with various gums it can go about as gelling operator. At the point when added to soils, it frames cation connect between the particles, with fine particles it upgrades quality by means of hydrogen holding and goes about as a cementation folio between coarse particles. The fundamental precept of this study is to strengthen the soil by performing California bearing ratio test (CBR) and unconfinedcompression test (UCC) at varying percentages of Xanthan gum. 11 30 2019 10487 10492 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4234.118419 https://www.ijrte.org/portfolio-item/D4234118419/ Metallurgical and Materials Engineering Department ,Faculty Of Petroleum and Mining Engineering ,suez ,Egypt, Suez University, Mahmoud Abbas* Salah Salman Mining & Petroleum Engineering Department ,Cairo , Egypt , Faculty Of Engineering Al-Azhar University Shaimaa Ali Abou El Ela Metallurgical and Materials Engineering Department ,Faculty Of Petroleum and Mining Engineering ,suez ,Egypt, Suez University, Magnesium has high strength to weight ratio , good machinability , high creep stress and high impact resistance . Such properties make the magnesium an excellent choice in many applications . Disadvantages of magnesium represented in low corrosion resistance in most environments and ignites easily in air . Surface modification techniques which are used to improve surface properities of Magnesium are conversion surface treatments like chromating , phosphating , galvanizing electroplating such as Cu , Zn , Ni , Cr , electroless metal plating and cladding by Aluminum foil . Anodizing in an electrolyte (with pH>12) is considered a passivation process that produces chemical stable protective oxide film on magnesium surface . Usually unsafe electrolytes such as KOH are frequently used . Anodizing of commercial magnesium (ASTM 9980A) was carried out in 3M KOH(unsafe) , 1M Na2SiO3 and 0.6M K2SiO3(safe) electrolytes for time periods ranging from 10 to 50 minutes at constant voltage of 5V .The anode was magnesium specimen where the cathode was stainless steel type AISI 304 . Energy Dispersive X-Ray(EDX) and X Ray Diffraction (XRD) approved that magnesium Oxide (MgO) is the anodic film when using 3M potassium hydroxide electrolyte and a magnesium Silicate with a glassy morphology formed in the anodic film using safe electrolytes of 0.6M potassium silicate and 1M sodium silicate . Maximum film thickness reaches to 46 , 27,47 μm after anodizing at 30 min using 3M potassium hydroxide ,1M Sodium silicate , 0.6M Potassium Silicate respectively . It was found that the corrosion rate of commercially pure magnesium decreased from 37 to 7 , 2.2 , 1.3 mpy when using 3M potassium hydroxide , 1M sodium silicate , 0.6M potassium silicate respectively . At the same time the contact angle increases from 70 degrees to 114o, 105o , 113o degrees using the same electrolytes . An increase in microhardness of the anodic films was observed in 3M potassium hydroxide , 1M sodium silicate and 1M potassium silicate respectively . The adhesion of the anodic film measures according to ASTM D3359 method 13 for thickness <125 μm was classified in 3B which denote that the amount of the layer released by the adhesive tape lies from 5-15% of the formed layers using the three electrolytes. 11 30 2019 11479 11484 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4235.118419 https://www.ijrte.org/portfolio-item/D4235118419/ Assistant Professor , Department of CSE, BGSIT, Mandya, India. Uma H R* Rashmi G R Assistant Professor , Department of CSE, BGSIT, Mandya, India. Bindushree V Assistant Professor , Department of CSE, BGSIT, Mandya, India. This paper gives us the attentiveness on opening files from unknown sources as sometimes it may cause damage to our mobile phones. In almost all the mobile apps after downloading it will ask some of the permissions to allow clicking for the allow button only we can able to access anything in that application otherwise we are unable to use all the features of that application. Many popular android apps including Facebook messenger, WhatsApp, Skype, Twitter, Share it, Instagram and other party apps get user permission after the installation. By allowing these permissions they can recording with the phone audio and video at any time, they can see contacts and modifying the USB storage contents(files). Lack of knowledge and awareness about permissions to the people may cause significant negative consequences. This research evaluates effectiveness of a demo app with visual ques to increase permissions awareness and avoid negative consequences. 11 30 2019 11384 11387 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4237.118419 https://www.ijrte.org/portfolio-item/D4237118419/ Associate Professor, Department of Electronics and Communication Engineering, Kongu Engineering College Balambigai Subramanian Jayashree. S Bachelor of Engineering, Electronics and Communication Engineering. Kongu Engineering College, Perundurai Kiruthika. S Bachelor of Engineering, Electronics and Communication Engineering, Kongu Engineering College, Perundurai. Miruthula. S Bachelor of Engineering, Electronics and Communication Engineering, Kongu Engineering College, Perundurai India is a developing country and agriculture has always played a major role in bolstering the country’s economic growth. Due to various factors like industrialization, mechanization and globalization, the green fields are facing complications. So, identifying the plant disease incorrectly will lead to a huge loss of both quantity and quality of the product and it will also incur loss in time and money. Hence, identifying the condition of the plant plays a major role for successful cultivation. Now a day’s image processing technique is being employed as a focal technique for diagnosing the various features of the crop. The image processing techniques can be used for identification of the plant disease and hence classify the plant disease. Generally, the symptoms of the disease are observed on leaves, stems, flowers etc. Here, the leaves of the affected plant are used for the identification and classification of the disease. Leaf image is captured using a smart phone as the first step and then they are processed to determine the condition of the plant. Identification of plant disease follows the steps like loading the image of the plant leaf, histogram equalization for enhancing contrast of the image, segmentation process by using Lab color space model, extracting features of the segmented image using GLCM (Grey Level Co- occurrence Matrix) and finally classification of leaf disease by using MCSVM (Multi Class Support Vector Machine).This procedure obtained an accuracy percentage of 83.6%.Also, it takes long training time for large datasets. To improve the accuracy of the detection and the classification of the plants, Convolutional Neural Network (CNN) is used. The main advantage of CNN is that it automatically detects the main features of the input without any supervision of human. In CNN identification of disease follow the steps like loading the image as the input image, convolution of the feature map and finally max pooling the layers to calculate the features of the image in detail. The plant diseases are classified with an accuracy of 93.8 %. 11 30 2019 11485 11488 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4245.118419 https://www.ijrte.org/portfolio-item/D4245118419/ Electronics and communication Engineering, Vardhaman College of Engineering, Hyderabad, D. Nagajyothi* M. Srilatha Electronics and communication Engineering, Vardhaman College of Engineering, Hyderabad V. Jyothi Electronics and communication Engineering, Vardhaman College of Engineering, Hyderabad, Hand gestures are used by the speech impaired persons to easily communicate with others. Hand gesture is a visual language, different from spoken language but serves as the same purpose of spoken language. Image segmentation and feature extraction algorithms are used to recognize the hand gestures of the deaf people .In this paper the proposed system will not only recognize the hand gestures but it will translate into suitable messages by using skin color segmentation. With the help of speakers speech playback is possible in the MATLAB. 11 30 2019 11489 11491 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4248.118419 https://www.ijrte.org/portfolio-item/D4248118419/ Computer Science Department, Vidyavardhaka College of Engineering, Mysuru, India. Manoj Athreya A* Avani H S Computer Science Department, Vidyavardhaka College of Engineering, Mysuru, India. Pooja Computer Science Department, Vidyavardhaka College of Engineering, Mysuru, India. Madhu S Computer Science Department, Vidyavardhaka College of Engineering, Mysuru, India. Dr. Paramesha K Computer Science Department, Vidyavardhaka College of Engineering, Mysuru, India. Cardiac Arrhythmia is a type of condition a human being suffers from abnormal heart rhythm. This is experienced due to the malfunctioning of electrical impulses that coordinate the heartbeat. When this happens the heartbeats slow/ fast more precisely irregularly. The rhythm of the heart is controlled by a major node called the sinus node which is present at the top of the heart, triggers the electrical pulses which make the heart to beat and pumping of blood to the body. Some of the symptoms of Cardiac Arrhythmia are fainting, unconsciousness, shortness of breath, unexpected functioning of the heart. It leads to death in minutes if medical attention is not provided. To diagnose this doctor, require to study the heart recordings evaluate heartbeats from different parts of the body accurately. It takes a lot of time to evaluate so based on the research work contributed in this field we try to propose a different approach to the same. In this paper, we compare different machine learning techniques and algorithms proposed by different authors and understand the advantages and disadvantages of the system and to bring a new system in place of the existing system where all have used the same ECG recordings from the same database of MIT-BIH. With the initial research work done by us we found out that the use of Phonocardiogram Recordings (PCG) provides more fidelity and accurate compared to ECG recordings. With the initial stage of work, we take the PCG recordings dataset and convert it to a spectrogram image and apply a convolutional neural network to predict the normal or abnormal heartbeat. 11 30 2019 11704 11707 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4249.118419 https://www.ijrte.org/portfolio-item/D4249118419/ Assistant Professor, School of Civil Engineering & Architecture, Adama Science & Technology University, Adama, Ethiopia Vijay Singh Rawat* Manikandan. P Lecturer, Construction Technology and Management, FTVETI, Addis Ababa, Ethiopia Shear walls play a key role in the lateral-load resistance process in high-rise buildings, as well as resisting the lateral loads generated by seismic forces. This paper examines the effect of shear walls in rectangular, L, and U type and their locations in RC building under seismic excitation. Seismic impact is primarily concerned with structural protection, particularly during the earthquake and also with high-rise buildings, ensuring adequate lateral rigidity to withstand seismic loads is very critical. Rectangular, L and U shaped shear walls was analyzed and compared at various location using non-linear analysis. For analysis three models were considered with various above said shapes at different locations of high rise buildings in high seismic regions of Ethiopia. The structure's seismic capacity and demand were analyzed using non-linear pushover analysis based on displacement. Regular in plane and elevation building for this investigation G+7 was targeted to estimate the structure's seismic response and resistance capacity Non-linear dynamic time-history analysis was performed for comparison, by applying 30 artificially generated ground motion for all sample buildings. The capacity curves of the structures, as derived by pushover analysis were compared for buildings with rectangular, L and U shape shear walls using Seismo-Struct software. Also, the performance levels of structures are estimated and compared using Seismo-Struct software to perform non-linear dynamic time-history analysis. 11 30 2019 10624 10631 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4252.118419 https://www.ijrte.org/portfolio-item/D4252118419/ Computer and Communication Engineering, Manipal University Jaipur, Jaipur, India. Kartik Agarwal* Arjun Singh Computer and Communication Engineering, Manipal University Jaipur, Jaipur, India. Surbhi Chauhan Computer Science and Engineering, JIEM, India. Let M be a non-compactly Poincar´e, semi-Hippocrates field acting anti-stochastically on a pointwise isometric manifold. It is well known that there exists a completely one-to-one hyperbolic plane acting freely on a combinatorically super-affine element. We show that ktk > ℵ0. It has long been known that N is equal to x [21]. The groundbreaking work of Z. Thomas on Markov matrices was a major advance. 11 30 2019 10632 10639 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4253.118419 https://www.ijrte.org/portfolio-item/D4253118419/ Research Scholar, Mechanical Engineering, Karpagam Academy of Higher Education, INDIA. Manikandan. M* Prabagaran. S Professor, Mechanical Engineering, Karpagam Academy of Higher Education, INDIA. Sivaram. N.M Mechanical Engineering, National Institute of Technology Puducherry, Karaikal, INDIA Milon Selvam Dennison Mechanical Engineering, Kampala International University, Kampala, UGANDA. The objective of this study is to produce the best possible grinding spindle using hardened EN 353 steel through the cylindrical grinding process. Primarily the EN 353 steel specimens are cut according to the product specification and subjected to rough machining. Then the steel specimens are subjected to a heat-treatment process to enhance the mechanical property hardness so that the specimen becomes wear-resistant. The experimental runs are planned based on Taguchi’s L27(37) array and conducted in a cylindrical grinding machine (Toyoda G32 cylindrical grinding machine). The surface roughness of the machined specimens is measured using a calibrated surface roughness tester. A prediction model is created through regression analysis for the outcome. The significance of the selected grinding factors and their levels on surface roughness is found by analysis of variance (ANOVA) and F-test and finally, a affirmation test is conducted to confirm the optimum factors. 11 30 2019 10640 10649 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4255.118419 https://www.ijrte.org/portfolio-item/D4255118419/ Master’s degree, computer science, Nusantara University Hendri Antoni Wibowo* Associate Professor, Department of Decision Sciences, School of Quantitative Sciences , Universiti Utara Malaysia (UUM). Rina Novita Sari Bachelor of Engineering, Civil Engineering, University of Indonesia Forecasting future price of financial instruments (such as equity, bonds and mutual funds) has become an ongoing effort of financial and capital market industry members. The most current technology is usually applied by high economic scale companies to solve the ambitious and complicated problem. This paper presents optimization solution for a deep learning model in forecasting selected Indonesian mutual funds' Net Asset Value (NAV). There is a well-known issue in determining a deep learning parameters in LSTM network like window timestep and number of neurons to be used in getting the optimal learning from the historical data. This research tries to provide solution by utilizing multi-heuristics optimization approach consists of Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) to determine the best LSTM's network parameters, namely window timesteps and number of neurons. The result shows that from the nine selected mutual funds, PSO outperforms GA in optimizing the LSTM model by giving a lower Root Square Mean Error (RMSE) by 460.84% compared to GA's. However, PSO took a longer execution time by 1.78 times of GA's. This paper also confirms that based on RMSE for both training and evaluation dataset, equity mutual fund's forecasted NAV has the highest RMSE followed by fixed income mutual fund's forecasted NAV and money market mutual fund forecasted NAV. 11 30 2019 11492 11500 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4260.118419 https://www.ijrte.org/portfolio-item/D4260118419/ Research Scholar, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. and Assistant Professor, Department of Computer Science & Engineering, Malla Reddy Engineering College (Autonomous), Hyderabad, Telangana, India. Mohammed Inayathulla* C Karthikeyan Associate Professor, Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. Videos are one of the important and richest sources of data on internet. In this growing world of digital technology video summarization will be handy in analysing the video data. Recently Natural Language Processing has attracted more researchers to work to meet the current emerging challenges. Among the various issues, video summarization got more focus and in this regard, many applications and works have been evolved. Video Summarization is the process of creating a small video describing the actual video within short duration(s). The paper focuses on generating highlights of a cricket video by analysing the voice of commentator and spectators. The experimental results have shown good performance when compared with human generated summary. 11 30 2019 10134 10136 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4261.118419 https://www.ijrte.org/portfolio-item/D4261118419/ Assistant Professor, Department of Electronics and Communication Engineering, P. A. College of Engineering and Technology. M. Madhumalini* B. Saranraj Assistant Professor, Department of Electronics and Communication Engineering, P. A. College of Engineering and Technology. The main aim of electronics is to design low power devices due to the prevalent usage of powered gadget. Ultra low voltage operation of memory cells has become a subject of a lot of interest because of its applications in terribly low energy computing. The stable operation of static random access memory (SRAM) is important for the success of low voltage SRAM and it is achieved by parameter variations of scaled technologies. The power consumption and access time of the SRAM is also a complex parameter due to the unavoidable switching activities of the number of transistors used for different blocks like, SRAM cell, access transistors, pre-charge circuit, sense amplifier and decoders. It has been shown that conventional 6T SRAM fail to achieve low power and delay operation. The proposed 10T SRAM design gives an approach towards the hold power dissipation. The designed circuit has 10 transistors out of that 2 transistors are used as sleep transistor. The sleep transistors are used as switches. Such as header and footer switches and the switches are turned on during active mode of operations and turned off during idle or standby mode of operations. The designed SRAM cell also has conducting pMOS circuit, which can reduces the total power dissipation. The SRAM cell is simulated by using Cadence tool. A supply voltage of 1.8V is used which makes it enough for low power applications. The power obtained as 761.7mW, which reduces 15% of conventional 6T SRAM design. The delay obtained as 125.6ns, which reduces 45% of conventional 6T SRAM. 11 30 2019 10650 10653 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4264.118419 https://www.ijrte.org/portfolio-item/D4264118419/ Information Technology , Amity University, Patna, India. Indrajit Ghosal* Dr Pragya Singh Faculty of Management, Symbiosis Centre for Management Studies (SIU), Noida, India. India has taken a step in online shopping through the expansion of information and communication technology (ICT). In this digital era huge opportunities are coming in the online industry due to rapid changes in ingesting pattern, customer preferences and product needs. E-commerce has been crated a booming passageway in the world. It has been very easier to get the products just a mouse click. Adequately number of e-companies has come up with customized products with easier transaction facilities. Though Internet shopping provides various benefits like flexibility of shopping time, wide variety of choices, but then again a large section of Indian population is still reluctant to adopt it relative to foreign nations. The reason behind these can be attributed to socio economic texture. This study is focused in North 24 parganas district under the state West Bengal (India) where most of the community residing in outskirt of the city. In the current research an effort has been made to analyze the unobserved factors manifested through the perceived behaviour towards ecommerce. The study has extracted explanatory factors affecting the perception consumer towards virtual buying behaviour. For this study 100 samples were collected and statistical tool Factor Analysis, ANOVA (Analysis of Variance) have been applied .These implied findings of the study will help the marketing analyst as well as strategist to forecast and assume the online buying behavioural standards across different geographic platforms in the country and consolidate the resource allocation accordingly. 11 30 2019 10654 10659 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4265.118419 https://www.ijrte.org/portfolio-item/D4265118419/ Associate Professor, G. V. M’ S G. G. P. R. College of Com. & Eco, Farmagudi, Ponda – Goa Dr. Prabhakar Rane* The purpose “of the paper is to analyze and interpret the effect of stock splits announcement on the stock price in the Indian context. The sample size of the paper includes 86 initial stock splits events of listed companies announced during the period from 1998 to 2013. For the study, the daily actual returns for the company and for the NSE Nifty Index are calculated to employ regression model to estimate the expected returns to ascertain the abnormal returns for 91 days window period. A large sample t – test has been conducted to test whether abnormal returns from the stock splits announcement are statistically significant. The study finds that the market reacts to the stock splits announcement negatively” in the Indian context. 11 30 2019 11708 11713 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4268.118419 https://www.ijrte.org/portfolio-item/D4268118419/ School of Computer and Information Sciences, University of Hyderabad, Hyderabad, India. Bhargavi B K Swarupa Rani School of Computer and Information Sciences, University of Hyderabad, Hyderabad, India. In today’s Big Data era, a graph is an essential tool that models the semi-structured or unstructured data. Graph reachability with vertex or edge constraints is one of the basic queries to extract useful information from the graph data. From the graph reachability with constraints, we obtained the information about the existence of a path between the given two vertices satisfying the vertex or edge constraints. The problem of Label Constraint Reachability (LCR) found the existence of a path between the two given vertices such that the edge-labels along the path are the subset of the given edge-label constraint. We extended the LCR queries by considering weighted directed graphs and proposed a novel technique of finding paths for LCR queries bounded by path weight. We termed these paths as bounded label constrained reachable paths (BLCRP). We extended the landmark path indexing technique [1] by incorporating the implicit paths which satisfy the user constraints but need not satisfy the minimality of edge label sets. We solved the BLCRP by using the extended landmark path indexing and BFS based query processing. We addressed the following challenges through our proposed technique of implicit landmark path indexing in the problem of BLCRP that included (1) the need to handle exponential number of edge label combinations with an additional total path weight constraint, and (2) the need to discover a technique that finds exact reachable paths between the given vertices. This problem could be applied to real network scenarios like road networks, social networks, and protein-protein interaction networks. Our experiments and statistical analysis revealed the accuracy and efficiency of the proposed approach tested on synthetic and real datasets. 10 30 2019 10660 10669 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4273.118419 https://www.ijrte.org/portfolio-item/D4273118419/ Research Scholar, Department of Business Administration, Manipal University Jaipur, Rajasthan. Madhusudan Narayan* Dr. Birajit Mohanty Associate Professor, Department of Business Administration, Manipal University Jaipur, Rajasthan Dr. M. L. Vadera Professor & Director, School of Business & Commerce, Manipal University Jaipur, Rajasthan. Dr. Suhasini Verma Associate Professor, Department of Business Administration, Manipal University Jaipur, Rajasthan Mahesh Kumar Research Scholar, Department of Business Administration, Manipal University Jaipur, Rajasthan Products, whether innovative or existing, are valueless to the society unless are brought out of the factories. They gain value only when information of the product is dispersed to those who can use or consume them. Marketing promotion strategy is a tactics used by the companies to disseminate information about the product to the perspective consumers and entice them to purchase their company's products. Marketing promotion is a combination of various efforts that an enterprise pursues to contribute to sales growth by creating awareness, inducing sales and eventually enhance repeat sales by customers, thereby creating brand loyalty. This paper is a systematic review of a wide range of research papers on marketing promotional strategy of start-up entrepreneurs and how it how it affects the consumer’s cognitive thinking and purchasing behaviour. 11 30 2019 10670 10674 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4277.118419 https://www.ijrte.org/portfolio-item/D4277118419/ PhD, Finance in the department of Business Administration, Faculty of Management Studies and Research, Aligarh Muslim University, India. Mahfooz Alam* We empirically examine fund managers’ stock selection and market timing ability using various risk-adjusted measures such as CAPM and multifactor models of Fama-French (1993) and Carhart (1997) to gauge mutual fund performance in India. The sample consists of 183 actively managed equity-oriented funds and covers the period from April 2000 to March 2018. The study, on the whole, documents some evidence of positive and significant stock selection ability but fails to yield any notable evidence of market timing ability of fund managers. Our results are robust according to various risk-adjusted performance evaluation techniques, sub-period analysis, excluding the crisis period and at the individual fund level. The findings of our study are in line with the previous studies that report limited selectivity skill and market timing ability among fund managers. The main implication of the study is that active portfolio management may not be very rewarding in comparison to a passive investment strategy. 11 30 2019 11714 11723 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4284.118419 https://www.ijrte.org/portfolio-item/D4284118419/ Department of Electrical Engineering, National Institute of Technology, Raipur, India Raj Kumar Sahu* Binod Shaw Department of Electrical Engineering, National Institute of Technology, Raipur, India.. Jyoti Ranjan Nayak Department of Electrical Engineering, National Institute of Technology, Raipur, India. In this publication section, novel interval type-2 fuzzy-PID controller (T2FPID) based Maximum Power Point Tracking (MPPT) is implemented in proposed a standalone photovoltaic (PV) system, type-1 fuzzy-PID controller (FPID), and PID controller with strategic control of online set point tracking in association with DC-DC boost converter is enforced in PV system to track maximum power point (MPP) in solar PV system is depicted. The opted controllers are appropriately composed by picking sine-cosine (SCA) algorithm. The proposed T2FPID based MPPT technique is espoused to dig out maximum power under certain circumstances of temperature and irradiance. System performance is enhanced by the act of T2FPID controller. The maximum output power, voltage & current, duty cycle for DC-DC boost converter is relevantly controlled by the novel T2FPID controller tuned by SCA algorithm. The T2FPID based MPPT technique is authenticated by comparing it by P&O based technique. Finally, it is scrutinized that, the supremacy of intended controller is proved over conventional P&O technique, conventional PID & T1FPID controller; conceding the oscillation, time response, settling time and maximum values of voltage, current & power of the solar system. Robustness analysis is performed by varying the irradiance and temperature partly keeping one parameter constant. The proposed work is further validated on OPAL RT system. 11 30 2019 10493 10501 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4281.118419 https://www.ijrte.org/portfolio-item/D4281118419/ PhD, Finance in the department of Business Administration, Faculty of Management Studies and Research, Aligarh Muslim University, India. Mahfooz Alam* We empirically examine fund managers’ stock selection and market timing ability using various risk-adjusted measures such as CAPM and multifactor models of Fama-French (1993) and Carhart (1997) to gauge mutual fund performance in India. The sample consists of 183 actively managed equity-oriented funds and covers the period from April 2000 to March 2018. The study, on the whole, documents some evidence of positive and significant stock selection ability but fails to yield any notable evidence of market timing ability of fund managers. Our results are robust according to various risk-adjusted performance evaluation techniques, sub-period analysis, excluding the crisis period and at the individual fund level. The findings of our study are in line with the previous studies that report limited selectivity skill and market timing ability among fund managers. The main implication of the study is that active portfolio management may not be very rewarding in comparison to a passive investment strategy. 11 30 2019 11414 11423 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4284.118419 https://www.ijrte.org/portfolio-item/D4284118419/ Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia. Sasya Sabrina* Lely Thersia Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia The purpose of this research is to analyze the effect of public stock ownership portion, firm size, leverage, and profitability toward voluntary disclosure published online. The data are selected using purposive sampling method and there are 13 food and beverage companies listed in Indonesia Stock Exchange that meet the criteria. The data are time series from 2014-2018. The data are processed using multiple regressions as the analysis method. The empirical results of this research show that firm size has a positive and significant impact on voluntary disclosure. Other independent variables which are the public stock ownership portion, leverage, and profitability do not affect voluntary disclosure. Firm size also became the most dominant factor in influencing the voluntary disclosure. This research can be useful for investors to make investment decisions based on how many disclosures the companies publish. 11 30 2019 10681 10685 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4285.118419 https://www.ijrte.org/portfolio-item/D4285118419/ Department of Botany, Sonari College, Sonari, Assam, India Jasmine Chetia* Polyhydroxyalkanoate (Pha) Is A Family Of Naturally Occurring Polymers Which Is Reportedly Produced By More Than 75 Genera Of Gram-Positive And Gram-Negative Bacteria. Although The Industrial Production Of This Bioplastic Commenced Decades Ago, Its Large Scale Production Is Still Debilitated By Factors Such As Rate Of Production By The Bacteria And The Raw Materials For Its Production, Which Finally Elevates The Production Cost. The Present Thrust In This Area Is To Isolate Bacterial Species Which Have A High Turnover Of Pha With Minor Expenditure. Sewage And Sewage Sludge Samples Are Rich Sources Of Microflora Which Offer A Nutrient Limited Habitat To The Individual Organisms. Under These Conditions Of Stress, Native Organisms Develop A Metabolomics Which Efficiently Convert Vital Nutrients Into Essential Macromolecules, And In This Case A Storage Polymer Of Industrial Significance I.E. Pha. In This Pilot Study An Attempt Was Made To Isolate Indigenous Bacterial With Ability To Produce The Polymer. 11 30 2019 10686 10692 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4287.118419 https://www.ijrte.org/portfolio-item/D4287118419/ Department of Commerce, Dibrugarh University , Dibrugarh Merry Borgohain* ‘E-commerce’- a trending wave in the field of trade and commerce. Of that food delivery applications has created a tremendous flow among the youth and almost every streets of all the cities give a sight of traffic on Zomato, Swiggy, Ubereats etc.Various such food apps have been linked up with different restaurants to grasp the satisfaction of the foodies by delivering the food in their doorsteps. Consumer perception implies an individual’s attitude towards a product or services provided to him/her which is affected by advertisements, reviews, social media, personal experiences. So being consumer the “King of Market” , influences to study their perception and awareness level of such food Apps and the study would also make an attempt to understand the influencing factors of using such applications. The study would be based on primary data and cofined to Dibrugarh town considering the respondents of age group between 16years to 30 years. 11 30 2019 10137 10147 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4289.118419 https://www.ijrte.org/portfolio-item/D4289118419/ Department of Biomedical Engineering, St.Peter’s Institute of Higher Education and Research, Chennai, India. Vanitha A* The purpose of this project is to develop a prototype device for the Rehabilitation of Patients with Severe Motor Disorder (paralytic patients). There has been a constant need for the development of non-invasive electrical stimulation of the spinal cord using brain impulse. As of now, physiotherapy is the only method of treatment where the patients can regain their movement to some extent along with some intake of medicines or drugs to strengthen their nerves. In some cases brain implants and surgery are also used. Physiotherapy requires a lot of effort from the patients and it is very painful. In this project, I have developed a non-invasive electrical stimulator prototype that could make the limbs to move by collecting the impulses from the brain. This could be done in two ways. One is by Human Thinking and the other is with the help of Bluetooth. In the first method, EEG sensor has been used to detect the impulse of brain. This sensor collects the impulse from the brain and converts into electrical stimulation making the corresponding limb motor move as per the instruction given by the brain. In the second method, a third person can also operate this device using Bluetooth of his/her mobile to make the limb motor move. Thereby, limb movements of the humanoid model can be activated. 11 30 2019 10502 10504 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4294.118419 https://www.ijrte.org/portfolio-item/D4294118419/ Department of Mining Engineering, Amet University, Chennai, India. Mithilesh Kumar Rajak* Dr. Kaushik Dey Department of Mining Engineering, IIT Kharagpur, West Bengal, India, tThetobjectivetoftatventilationtnetworktsystemtisttotprovidetthetdesiretquantitytoftairflowsthroughouttthetminetsuchthattheworkers cant workt underground int atsafet andt healthy environmenttattthetleveltspecifiedtbytthetminingtregulations.Incoaltminestheventilationnetworktsystemthastatgreatertimpactontsafetytandtproduction.tTheselectionstoftminetfantandtairtquantitytcalculationtattdifferent working placest aret generally deci-dedtbysolvingtthetventilationtnetworktusingtiterativetHardyCrosstmethodIntthistresearchtantapproachwastadoptedttosimulatingthetventilationtnetworktconsideringttheairwaysresistancestastuncertaintvariables.tAtMonte-Carlotsimulation-basedtapproachtwas followedttotgeneratetrandomtsettofresistancetvaluestfromtthetdistributiontfunctionstofttheairwaystresistances.tTheVENTSIMtsoftwaretwastusedttotsolvetthetHardyCrosstmethodtforventilationnetworksimulationtusingonesetofrandomtresistancevalues.tThetMonteCarlosimulationtbasedapproachthelpsttotanalysistthetuncertaintytoftairtquantitytatspecifictworkingfacesastwelltastotaltquantitytrequiredtforventilatingtthetmine.tThetmajortfocustoftthetthesistis towardsthetquantitytoftairtintthetworkingtfacetgeneratedbytthetminemaintfantandtthetriskinvolvetwithtthetselectiontoftminetmainfantfortatcoaltmine.ThetmethodologytfortthetventilationtnetworkdesigntproposedtintthistthesistwastappliedtinaundergroundcoalminetintEasterntparttoftIndia.tThetairwaystresistancestarecalculatedtbymeasuringtthetvaluestattdifferenttplacestintsameairways.tThetmeantandtstandardtdeviationtused fortMonte-CarlosimulationtassumingthedistributiontistGaussian.Atotaltnumbertoft71tairwaysaretsimulatedtintthetcasetstudytmine.Atrisktanalysistoftquantitytoftairtreachingattfacetwasperformedatttwotworkingtfacestbytgeneratingt200trealizationstThetresultsintthistthesistwasvalidatedtmytmeasuringtquantityatdifferentmeasuringtstationtintthistmine. 11 30 2019 11501 11507 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4301.118419 https://www.ijrte.org/portfolio-item/D4301118419/ P.G and Research Department of Mathematics, Sacred Heart College, Tirupattur D. Ajay* J. Joseline Charisma P.G and Research Department of Mathematics, Sacred Heart College, Tirupattur P. Chellamani P.G and Research Department of Mathematics, Sacred Heart College, Tirupattur A graph labelling is an assignment of integers to the vertices or edges, or both, subject to certain conditions. Fuzzy labelling models precision, flexibility and compatibility to the classical models. The objective is to discuss about the magic and bi-magic labelling of fuzzy graphs. In the beginning the magic labelling of fuzzy path graph is discussed followed by the bi-magic labelling of fuzzy path graph. The next main purpose is to introduce the Intuitionistic path graph and examine the existence of fuzzy magic and bi-magic labelling. 11 30 2019 11508 11512 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4302.118419 https://www.ijrte.org/portfolio-item/D4302118419/ Department of Computer Science & Engineering, Trident Academy of Technology, Bhubaneswar, Odisha, India. Santosh Kumar Sahoo* Asif Uddin Khan Department of Computer Science & Engineering, Silicon Institute of Technology, Bhubaneswar, Odisha, India Ajit Kumar Nayak Department of IT, Siksha O Anusandhan Deemed to be University, Odisha, India Vehicular network has several applications in the smart city and IoT. Recently with the advancement in the computing technology such as fog computing and its application in the vehicular network and its services, a new paradigm known as vehicular fog computing has evolved as a hot topic of investigation in the research community because of the next generation computing and communication requirements. Vehicular fog computing can be used to solve the issues of next generation computing and communication scenario. There are several issues in vehicular fog computing. Efficient task computing and data dissemination is an important issue. Several approaches are proposed by different authors to solve the issues, but none of them has addressed the service completion and failure rate which is very important in the vehicular scenario as the vehicles move very fast and its contact time with the RSU controller is limited. The task has to be completed by the vehicular server within that time period, otherwise computation will fail. Once the computation and communication fails, the RSU controller will reinitiate to form the vehicular fog resulting high overhead. In this paper we address this issue and proposed an efficient scheduling algorithm based on multiple parameters namely queue length, response time and link weight. We simulated the algorithm using java and compared with the existing algorithm showing better performance. 11 30 2019 10693 10697 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4303.118419 https://www.ijrte.org/portfolio-item/D4303118419/ ADRIN, Dept. Of Space, Hyderabad, India, R. Phani Bhushan* DVLN Somayajulu Dept. of CSE, IIITDM, Kurnool, India S. Venkatraman ADRIN, Dept. Of Space, Hyderabad, India RBV Subramanayam Dept. Of CSE, NIT, Warangal, India Hadoop is currently the most popular platform for parallel processing. With its two major components namely the Distributed File System (HDFS) and a parallel processing paradigm (MapReduce) in addition to its ease of installation and usage, Hadoop has become the chosen platform for efficiency whether in the commercial arena or the scientific arena such as Satellite Data Processing. The number of remote sensing satellites have also grown leaps and bounds and the data sent back by them for processing has all the three characteristics namely volume, velocity and variety that make it Big Spatial Data. In this paper, we present the extensions provided to Hadoop that enable Image Processing using legacy code and further elaborate on the various methods provided. 11 30 2019 11147 11150 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4304.118419 https://www.ijrte.org/portfolio-item/D4304118419/ department of Engineering and Applied Sciences, University of Bergamo, Italy. Paolo Righettini* Vittorio Lorenzi department of Engineering and Applied Sciences, University of Bergamo, Italy Bruno Zappa department of Engineering and Applied Sciences, University of Bergamo, Italy. Roberto Strada department of Engineering and Applied Sciences, University of Bergamo, Italy. This paper deals with a research activity concerning two-wheel self-balancing vehicles, with particular reference to the interaction between the driver and the vehicle’s dynamics. The usefulness and the flexibility of this kind of vehicle make it a very interesting device for smart mobility. In particular, a dynamical model of a two wheeled self-balancing vehicle and of his driver is presented here. It consists of a Multibody model of a real vehicle, designed and built in the Mechatronics and Mechanical Systems Dynamics lab. of our University, and of a driver model with 3 driven joints. The overall 3D model developed allows simulating the interaction between human (driver) and machine (vehicle), taking into consideration also the coupling between longitudinal motion and turn. The vehicle’s control system has been synthesized using the pole placement approach, starting from a simplified 2 dof planar model of the vehicle, considering the driver fixed with vehicle chassis. Through proper linearization, a state space description has been obtained and used to tune pole position, not only for stability but also for optimal response. Through co-simulation between the controller (modelled in Matlab-Simulink) and the vehicle-driver system (modelled with MSC.Adams) several tests have been performed on the full model, to assess its behaviour under different conditions like set point following and disturbance rejection, considering both a passive and an active driver. As far as the influence of the driver on the vehicle’s dynamics is concerned, the paper shows that it is possible to detect the dynamic forces exerted by the driver on the vehicle. According to these signals, control strategies to switch the vehicle in safe mode can be implemented. In the paper, some issues related to safety have been highlighted. 11 30 2019 10698 10705 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4306.118419 https://www.ijrte.org/portfolio-item/D4306118419/ M.E. Scholar, Computer Engineering Department, S.G.S.I.T.S. Indore Sakshi Yadav* Anuradha Purohit Associate Professor, Computer Engineering Department, S.G.S.I.T.S. Indore Micro-blog provides a platform for the users to transfer their thoughts and information in limited words more expressively. Its concise and easy to access nature makes it popular among every age group. Inspite, of all its pros and popularity, some people use it to achieve their bad motives i.e. to misguide people and create violence. To overcome this problem a system is required that will help to detect fake tweets in a limited amount of time. In this paper, a feature based approach for rumor detection has been proposed. The proposed approach utilizes 9 features which shows author as well as readers reaction to identify rumor tweets which may differ for different users in different situations. For experimentation synthetic data and from Pheme has been utilize. A comparative study of the approach for the datasets has been done on the basis of evaluation parameters Recall, Precision and f-measure. Satisfactory results have been obtained for Pheme data with less number of features as compare to synthetic dataset. 11 30 2019 12287 12297 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4308.118419 https://www.ijrte.org/portfolio-item/D4308118419/ National Researcher on GIS and Remote Sensing at International Water Management Institute, Central Asia, Tashkent, Uzbekistan. Zafar Gafurov* Dilshod Nazaraliev Head of Hydrology and Hydrogeology Department of Tashkent Institute of Irrigation and Agricultural Mechanization Engineers Farrukh Kattakulov Associate tenure of the Department of Hydrology and Hydrogeology of Tashkent Institute of Irrigation and Agricultural Mechanization Engineers. Economy of Central Asian countries heavily rely on irrigated agriculture. The region is facing challenges with regard to water shortages to meet currently cultivated crop water requirement. Talking about water generally gives a view of food security, climate change and energy efficiency. Scarcity of water leads to better understand the role of water to the environment and its effect to the nature. As water is indispensable part of agriculture, there is always need for positive developments of sustainable water management system in agricultural fields. Improper crop allocation can influence for degradation of land, groundwater level change, as well as food security. Therefore, this study aims to learn crop pattern changes over time which can serve as a basis for better water management in the region. In addition to this, this study covered what is the major changes in irrigated agriculture in terms of crop allocation to understand the crop rotations over time. Freely available satellite data was used for mapping crop classification and their changes for this region. Widely used Normalized Difference Vegetation Index (NDVI) technique was applied to extract information from Landsat raw data. The study was carried out in Karshi Steppe in southern part of Uzbekistan and this region is one of the area that is experiencing challenges on water availability where water resources are mainly pumped from Amudarya River which is located in the lower altitude of the region. Therefore understanding currently cultivated crop types will help to further explore actual crop water requirements which may provide an information on how much water is actually needed and can be lifted with minimum financial costs. They are then can be used in further application to find out Evapotranspiration (ET) of individual crops and help decision makers making better decisions. 11 30 2019 10513 10516 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4318.118419 https://www.ijrte.org/portfolio-item/D4318118419/ Electronics and Instrumentation Engineering, Easwari Engineering College, Chennai, India Chitra BK* K. Kalaivani Electronics and Instrumentation Engineering, Easwari Engineering College, Chennai, India. T. Kalaiselvi Electronics and Instrumentation Engineering, Easwari Engineering College, Chennai, India K.R. Sugashini Electronics and Instrumentation Engineering, Easwari Engineering College, Chennai, India B. Chinthamani Electronics and Instrumentation Engineering, Easwari Engineering College, Chennai, India Diathermy is an electrosurgical unit which is frequently used in surgical operation for cutting purpose. It is an advanced method which overcomes the drawback of scalpel blade. Scalpel blade leads to cutting injuries and heavy blood loss during the surgical operation. This problem can be rectified using diathermy. Diathermy procedure is done by electrical spark, which require deep tissue cutting. Now a day’s most of the surgeons prefer diathermy than scalpel blade, but present surgical unit creates few problems like burning and scaring due to improper construction of grounding (pad) plate. This paper proposes to reduce the electrical burning effect, the pad plated coated with silver material and hyperbolic shape pad plate. Mechanical stuck in the footswitch avoided by using parallel connection of micro switch. The implementation of pad plate design and footswitch model minimizes the electrosurgical burn during the operation. 11 30 2019 10706 10711 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4322.118419 https://www.ijrte.org/portfolio-item/D4322118419/ Assistant Professor, Department of Electronics and Instrumentation Engineering, Easwari Engineering College, Chennai, India. Mr.T. Surendran* Mrs.M. Suganya Assistant Professor, Department of Electronics and Instrumentation Engineering, Easwari Engineering College, Chennai, India. Dr.P. Navaseelan Associate Professor, Department of Electronics and Instrumentation Engineering, Easwari Engineering College, Chennai, India Dr.S. Sobana Associate Professor, Department of Electronics and Instrumentation Engineering, Easwari Engineering College, Chennai, India. Mrs.K. Nandini Assistant Professor, Department of Electronics and Instrumentation Engineering, Easwari Engineering College, Chennai, India. In this paper, Model based approach is implemented to control a heat exchanger prototype using optimization technique for parameter tuning of PID controller. Mathematical modelling of heat exchanger is done using mechanical specifications and differential equations of “Shell and Tube heat exchanger”. Optimally tuned PID controller is used to control the process model. Output response of optimal PID controlled model is compared with ordinary PID controlled model’s output response in results. Response optimization technique is implemented in this process to tune the parameters of the PID controller. It makes the response as a settled one on the desired value and also gives the stable response. 11 30 2019 10712 10715 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4325.118419 https://www.ijrte.org/portfolio-item/D4325118419/ Assistant Professor (Sr.Gr), Department of Electronics and Instrumentation Engineering, Easwari Engineering College, Chennai, India B. Chinthamani* K. Kalaivani Associate Professor, Department of Electronics and Instrumentation Engineering, Easwari Engineering College, Chennai, India K.R. Sughashini Assistant Professor, Department of Electronics and Instrumentation Engineering, Easwari Engineering College, Chennai, India P. Navaseelan Associate Professor, Department of Electronics and Instrumentation Engineering, Easwari Engineering College, Chennai, India R. Nagalakshmi Assistant Professor, Department of Electronics and Instrumentation Engineering, Easwari Engineering College, Chennai, India An aircraft landing system is most essential to ensure quality air traffic and safe landing process. In most airports an advanced aircraft landing system is necessary. This project proposes a system wherein all departments functioning separately are integrated. This system will overcome disadvantages of the existing system such as slow landing process and possibilities of manual error. The project deals with developing an economical and affordable solution for perfect landing in airports based on physical ambient conditions in the airport. The proposed system continuously monitors all the physical parameters and sends an audio signal output in case of an abnormal condition. Various parameters which are required for safe landing such as air temperature, humidity, wind speed, wind direction, fog and visibility are measured using suitable sensors and interfaced to a controller unit. A Light Detection And Ranging (LIDAR) model is used to determine the ground level clearance. The distance of other aircrafts from the ground station is determined using Received Signal Strength Indicator (RSSI). A simulation output screen is used to continuously display the measured parameter values. 11 30 2019 10716 10719 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4326.118419 https://www.ijrte.org/portfolio-item/D4326118419/ Department of Electronics and Instrumentation Engineering, Easwari Engineering College, Chennai, India. M. Suganya* S. Sobana Department of Electronics and Instrumentation Engineering, Easwari Engineering College, Chennai, India. J. Johnsi Department of Electronics and Instrumentation Engineering, Easwari Engineering College, Chennai, India R. Nagalakshmi Department of Electronics and Instrumentation Engineering, Easwari Engineering College, Chennai, India K.R. Sughashini Department of Electronics and Instrumentation Engineering, Easwari Engineering College, Chennai, India Tool wear monitoring and control in the machining operations is necessary to enhance the productivity and decrease the operation cost. The identification of CNC machine process model and its control is so difficult due to its high non-linearity. Therefore, neural networks (NNs) one of the non-linear identification techniques, have been applied in addition to system identification field for the identification and control of nonlinear systems. In this paper, auto-regression recurrent neural network model structures NNARX and NNARMAX is proposed for CNC machine modeling with its cutting condition and vibration signals as input to obtain an accurate nonlinear system model for prediction of tool wear and surface roughness. Finally, the modeled neural network model structures for prediction of tool wear and surface roughness is validated with the observed tool wear and surface roughness for the accuracy analysis of modeled neural network model structures. 11 30 2019 10720 10726 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4328.118419 https://www.ijrte.org/portfolio-item/D4328118419/ Electronics and Instrumentation Engineering, Easwari Engineering College, Chennai, India Navaseelan P* Nagarajan S Electronics and Instrumentation Engineering, Easwari Engineering College, Chennai, India Chinthamani B Electronics and Instrumentation Engineering, Easwari Engineering College, Chennai, India Nagalakshmi B Electronics and Instrumentation Engineering, Easwari Engineering College, Chennai, India Chitra B K Electronics and Instrumentation Engineering, Easwari Engineering College, Chennai The technique of Fault Detection and Isolation (FDI) of Economizer and Air-preheater of Boiler using Neuro-fuzzy system is presented in this paper. FDI using model based approach and intelligent methods are the current trend applied in space industries, process industries and power plants. Intelligent methods like Fuzzy, Neural network and Neuro-fuzzy methods are simpler for modeling and faster for detection and isolation of faults. Here the water wall type steam boiler which is used for producing steam in fertilizer industry is studied. The proposed scheme is detecting and isolating the faults and failures happens in the economizer and air preheater of boiler. The common faults are corrosion, erosion, cracking of boiler tubes at welding points, tube rupturing, scale formation in the tubes, external ash deposits etc. The inherent non-linearity of boiler makes Neuro-fuzzy logic method suitable for FDI for all possible faults. The detection of faults is carried out by computing residuals, which are the differences between real process output and estimated output by neuro-fuzzy logic model. These estimated outputs were obtained from the neuro-fuzzy logic model which is trained using real time data by Adaptive Neuro-fuzzy Inference Systems (ANFIS). The real time data of economizer and air-preheater of boiler is collected and used for residual generation. The residuals will be formed for two outputs which are playing important role. If the residual exceeds threshold value indicates various faults in the boiler components and makes the proposed FDI scheme robust against process and measurement noises, process modeling error, disturbances and all uncertainties etc. The threshold band is calculated using model error model method. To isolate the faults, the residuals are normalized and its magnitudes are compared with present fault severity limits. More the range of severity more will be the magnitude of faults in the boiler. FDI by neuro-fuzzy method is more advantages as it combines the advantage of artificial neural network and fuzzy logic methods. The neural networks are more adaptable and have more learning ability. Fuzzy systems are dealing with human reasoning and decision making. As a result the designed FDI scheme is more sensitive to faults and less sensitive to uncertainties and disturbances etc. makes the scheme robust. The required data and fault knowledge for the research work is collected from BHEL make 55 tons per hour capacity, water tube type boiler available in Madras fertilizer Limited (MFL), Chennai. 11 30 2019 10727 10733 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4329.118419 https://www.ijrte.org/portfolio-item/D4329118419/ Department of Aeronautical Engineering, Rajalakshmi Engineering College, Chennai, India. Sivaa Charan Muralidharan* Balaji Ranjendran Department of Aeronautical Engineering, Rajalakshmi Engineering College, Chennai, India. In this paper, the mechanical behavior of GFRP laminates reinforced with Elastomers under Impact and Tensile loading conditions has been studied. The GFRP laminates have bidirectional orientation so that it can take loads acting along both x & y-axis. Composite made of E-glass fibre and Araldite LY 556 resin was reinforced with Silicone Rubber elastomer. The GFRP laminates were manufactured utilizing the Compression Molding (Sheet Molding) Process. Elastomers are believed to improve the Impact and Tensile Strength of GFRP laminates. Which can be studied only by comparing the Impact and Tensile test results of GFRP with Elastomers to those without Elastomers. A total of ten specimens, five GFRP laminates without Elastomers, and five GFRP laminates with Elastomers were manufactured. For each type, two samples were used to obtain Tensile Strength at 34oC & 50oC, and then three specimens were used to gain Impact Strength. The Tensile Strengths were obtained from the Tensile Test as per the ASTM D638 standard of testing, and the Impact Strengths were obtained from the Charpy Impact Test as per the ASTM D256 standard of testing. The specimen dimension for Tensile Test was 4.97 mm * 12.9 mm, and the specimen dimension for the Charpy Impact Test was 63.7 mm * 12.7 mm. The values for Impact Strength and Tensile Strength for each type of specimen were tabulated, utilizing which graphs were plotted between Stress vs. Strain. These values were used to analyze the Mechanical Properties of GFRP with Elastomers under Impact and Tensile Behavior. 11 30 2019 10902 10905 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijitee.D4332.129219 https://www.ijrte.org/portfolio-item/D4332118419/ School of Computer Studies, Rathnavel Subramaniam College of Arts & Science (Autonomous), Sulur, Coimbatore, India. S. Yamini* Analytics is having the huge potential to improve any business. Due to the increase in the technological developments, the data is collected, interpreted and analyzed everywhere. The power and the impact of the data is huge. Previously, the Managerial decisions were taken based on the experience or by the gut insights. But now, the Data Analytics is made it easy to improve the possibilities of making better decisions based on data. The primary focus of this research article is to summarize about how to work with data to make better managerial decisions. This article introduces about the statistical concepts in the right flow which will drive to inferences about the population regardless of the tools used. 11 30 2019 10734 10738 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4333.118419 https://www.ijrte.org/portfolio-item/D4333118419/ MBA, Chandigarh Business School of Administration, Mohali, India. Dr. Sunayna Khurana* Ms. Dipti Jain Management, I.K Gujral Punjab Technical University, Jalandhar, India The aim of this study to find the relationship between initial adoption and post adoption behavior in the light of post purchase customer experience of people using m-shopping fashion apps to purchase fashion products. The study identifies post purchase customer experience as a multidimensional concept and identifies Return and Replacement, Customer Assistance, Product Experience and Handover of a product as post purchase activities. These four constructs being loaded on a single factor, hence, explained the construct of post purchase customer experience. Data was collected from 512 respondents in Delhi-NCR aging 18-25 years. The collected data is analyzed using structural equation model. The results revealed that behavioral intention significantly influences actual purchase behavior and actual use behavior significantly influence post purchase customer experience.Also, post purchase customer experience plays a significant role in the post adoption of m-shopping fashion apps as selling to customer once is not the only objective. Post purchase customer experience may lead to initial customer satisfaction but may lead to loyalty if users come across with consistent seamless post purchase experience. This will be the first study to do research on the relationship between adoption and post adoption behavior in the context of m-shopping fashion applications. 11 30 2019 11517 11523 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4337.118419 https://www.ijrte.org/portfolio-item/D4337118419/ research scholar, Department of Computer Science and Systems Engineering, Andhra university college of engineering (A), Andhra university. P. Sujatha* D. Lalitha Bhaskari Professor, Department of Computer Science and Systems Engineering, Andhra university college of engineering (A), Andhra university. Language translation is a power of humans where machines are lagging and need to acquire. Previous statistical machine translation is used for translation but is applicable for large and similar grammar structure dataset. In this paper neural machine translation with long short term memory (LSTM) is used for addressing the issue. This paper uses a bidirectional LSTM to translate Telugu literary poems of Yogi Vemana to English which exhibited satisfactory translation. The results are compared with existing and proposed methods. NMT with LSTM yields better in language translation. 11 30 2019 10739 10743 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4340.118419 https://www.ijrte.org/portfolio-item/D4340118419/ Associate Professor, Department of Information Technology, Easwari Engineering College, Ramapuram, Chennai Dr. V. Vani* Dr.M. Mohana Associate Professor, Department of Information Technology, Easwari Engineering College, Ramapuram, Chennai S.Haritha Meenashi B.Tech Information Technology , Easwari Engineering College, Ramapuram, Chennai G. Jeevitha B.Tech Information Technology , Easwari Engineering College, Ramapuram, Chennai A. Keerthika B.Tech Information Technology , Easwari Engineering College, Ramapuram, Chennai There are many accidents occurring in the world today. By wearing helmet and driving properly we can control or reduce the impact of these accidents. Thus, arises the need of Smart helmet which will protect the riders as well as help them to drive in a secure way. The Smart helmet consists of a ZigBee device through which the rider can start a bike only if he wears his helmet. It consists of various sensors which helps to detect the level of alcohol consumed by the vehicle rider, vibration sensor which detects the hit percentage when the rider meets with an accident and immediately report it to the nearby ambulance and the rider’s family members and friends. There is a capacity sensor with which only two people allowed to travel in the bike as it can detects the weight of the persons. All the sensors are interfaced through PIC board and it uses Internet Of Things through which if the rider travel at over speed, then automatically fine is debited from their account. For tracking the closest nearby ambulance we use KNN (K-Nearest Neighbour) Algorithm. 11 30 2019 10744 10749 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4342.118419 https://www.ijrte.org/portfolio-item/D4342118419/ Associate Professor, Department of Information Technology, Easwari Engineering College, Ramapuram, Chennai Dr. V. Vani* Dr.M. Mohana Associate Professor, Department of Information Technology, Easwari Engineering College, Ramapuram, Chennai- D. Vanishree B.Tech Information Technology ,Easwari Engineering College, Ramapuram, Chennai K. S. Subiksha B.Tech Information Technology ,Easwari Engineering College, Ramapuram, Chennai M. Sushanthika B.Tech Information Technology ,Easwari Engineering College, Ramapuram, Chennai Early detection of drainage leakages are utmost important to avoid mixing with pure water. Leaving a clogged pipe unattended can prompt expanded pressure inside pipes, which would then be able to split and blast. This leads to an expensive problem that can cause significant damage. The other major problem faced mostly during rainy season is breeding of pests at roads due to drainage overflow which causes several waters borne diseases. Besides the traditional methods of identifying a leakage which incurs a high cost but low efficiency, this project presents with flow sensor and ultrasonic sensor which detects leakage and overflow respectively with the help of Wireless Sensor Network (WSN) which is based on ZigBee technology and Internet of Things (IOT) and an alert is sent through the mobile app to the authorities in Municipal Corporation prior overflow or any blockage to avoid leakage. 11 30 2019 10750 10757 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4343.118419 https://www.ijrte.org/portfolio-item/D4343118419/ Department of Electrical Engineering, ITER, Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar, India Abhijeet Choudhury* Amar Bijay Nanda Department of Electrical Engineering, ITER, Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar, India Amiya Kumar Naik Department of Electrical Engineering, ITER, Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar, India Swagat Pati Department of Electrical Engineering, ITER, Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar, India Sanjeeb Kumar Kar Department of Electrical Engineering, ITER, Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar, India In this paper an extemporized micro grid system is considered, which is capable of supplying power to different time varying loads. The framework considered in this work comprises of different sources for example a consistent power miniaturized scale micro-hydro system, a wind energy conversion system equipped with Battery Energy Storage System. The consistent power smaller scale micro-hydro houses a 22KW SEIG which conveys capacity to the local time varying loads. The BESS is associated at the DC connection of the Wind Energy Conversion System. Grid Side Converter of the Wind Energy Conversion System acts like a STATCOM. During different stacking conditions, the active and reactive power created by the SEIG isn't adequate, in this way there is a negligible change in frameworks of voltage and frequency. In this way Grid Side Converter conveys the necessary capacity to the system keeps up the frequency and voltage to be consistent and improves power quality in the system. The Grid Side Converter likewise deals with the active power intensity of the system by putting away the overabundance power in the BESS and providing it when required in the evening time. Different sorts of loads, for example, Linear RL load, Non-Linear load, and Dynamic load are considered to assess the exhibition of the hybrid autonomous system. The above simulation is finished utilizing MATLAB/Simulink condition. 11 30 2019 10758 10765 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4344.118419 https://www.ijrte.org/portfolio-item/D4344118419/ Department of Electronics and Communication Engineering of Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh Sumonto Sarker* Kritimoy Bosu Department of Electronics and Communication Engineering of Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh Firdous Bin Ismail Department of Electronics and Communication Engineering of Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh Md. Mahabub Hossain Department of Electronics and Communication Engineering of Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh. Md. Mehedi Islam Department of Electronics and Communication Engineering of Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh In the digital world, maintaining information is much difficult. Without security measures and controls in place, data might be subjected to an attack. Now a day’s several attacks are evolved & Distributed Denial of Service (DDOS) is one of them. There are various categories of DDOS attack.SYN flood is addressed as one of the most dangerous attacks. In three way handshaking method a SYN packet is generated and a received ACK acknowledgement is provided to the corresponding. When the SYN packet is generated continuously from random sourcesis considered as flooding. And it’s known as SYN flood attacks. This paper is constructed with a proposed technique for the betterment of both the detection and defense techniques against it. The detection process is improved by a database added in the server for accepting random flooding for a limited time interval. And the defense algorithm is a developed design operated by scrolling the pending requests from database and checking the accessibility of the user and stop requesting otherwise. There are two parts of this research paper. The first one is to discuss extensively the various aspects of SYN Flood attack and developing the knowledge of this flooding attack mechanisms and the second one is to detect the SYN Flood attack and finding a better mitigation process through which we can reduce the loss of any information that generally happens by this deadly flooding. For saving server from crush it is important to mitigate this attack. So it may prove effective in home appliance servers like IoT, IoE that any of the fraud can't get access into the server for any harmful activity. 11 30 2019 10766 10774 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4345.118419 https://www.ijrte.org/portfolio-item/D4345118419/ Assistant Professor, Department of Civil Engineering, RYMEC, Ballari, Karnataka, India Adanagouda* Dr.H.M. Somasekharaiah Professor, Department of Civil Engineering, RYMEC, Ballari, Karnataka, India. In recent days, High Performance Concrete (HPC) is rapid accomplishment for wide range of applications in the construction of concrete structures. When two fibers are added to concrete in a suitable combination to make the composite structures and it produce overall improve properties of concrete gives and also result in performance concrete that type of concrete is Hybrid Fiber Reinforced High Performance Concrete (HFRHPC). The use of mineral admixtures in concrete enhances its properties regarding strength parameters,, workability and durability of concrete. In this experimental work using mineral admixture like fly ash, silica fume and metakaolin towards the performance of HPC. The partial replacement of cement by different percentages of mineral admixtures are 0,10, 20 & 30% was used in the concrete mix containing composite fibers (Steel and Polypropylene) of different percentages viz 0,0.75,1.0 and 1.25% for all concrete mixes on the properties of High Performance Concrete. An Aggregate Binder (A/B) ratio of 1.75 with different water binder (W/B) ratio viz, 0.275, 0.30, 0.325, 0.350 and 0.375 was used in this investigation. In order to evaluate and compare the strength properties of different concrete mixes are conducted and results are tabulated. From the present investigation results showed that as the percentage of fibers increases the strength of concrete increases. Hybrid fiber ratio is 1.25% with 10% of metakaolin admixture and Aggregate binder ratio 1.75 gives maximum results in all strength parameters compare to other different mixes. 11 30 2019 10775 10783 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4346.118419 https://www.ijrte.org/portfolio-item/D4346118419/ Assistant Professor(SLG) in Kongu Engineering College Erode Dr.G.K. Kamalam* Ms.B. Anitha Assistant Professor in Kongu Engineering College Erode In grid, scheduling algorithms play vital role of mapping a set of tasks to the available heterogeneous resources. Extant literatures have shown that the task mapping problem is an NP-Complete problem. Heuristic scheduling algorithm aims to obtain the minimum overall execution time of the set of tasks. In this paper, we address the problem of scheduling a set of n tasks with a set of m resources, such that the makespan is minimized. The proposed task scheduling algorithm (RTS) is based on the well-known optimization algorithm, called Hungarian algorithm. (RTS) algorithm considers an equal number of tasks and resources, and maps the tasks to the resources and makes an effective scheduling decision. We simulate the (RTS) algorithm and compare it with the Min-min heuristic scheduling algorithm. The performance evaluation shows that (RTS) produces minimized makespan and better resource utilization in comparison to existing Min-min. 11 30 2019 10906 10909 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4347.118419 https://www.ijrte.org/portfolio-item/D4347118419/ Ph.D. Scholar in School of Commerce and Management, G.M.University, Amruta Vihar, Sambalpur, Odisha, Sidhant Mohanty* Srinibash Dash Faculty of School of Management, G.M. University SAMBALPUR, Odisha, India. Generally the entrepreneurship is the process of utilizing the allocated resources in such a way that it makes profit maximization without incurring any loses. It depends to the skill, ability, leadership quality and the mid set of the entrepreneur toward new ventures. The proposed study is an explorative on to measure the real of mindset of the small traders and factors influence the mind set for set up new business. To map mind set of entrepreneur, standard questionnaire has been used added 34 variables with the aid and advice of the expertise in this field followed by the well structured research methodology. Further, to carry out the study, descriptive statistics informed the data consistency and outlier of data and Cronbach’s Alpha score informed the data reliability and sensitivity of the added variables. In this context, the all hypothesis of the study rejected h ANOVA techniques. In the preliminary discuss It has been found that learning ability, problem solving ability/logical thinking, ability to analyze market, ability to manage complex tasks and ability to engage stakeholder’s factors are excellent whereas others factors such that curiosity, creation of value and ability to anticipate technology having lots of scope for further developemnt for influencing the mid set of entrepreneur. In contrary, multivariate analysis suggested that entrepreneurial mindset is not a one-dimensional concept but is made up of several “factors” and hence it is considered multi-dimensional factors for positively push forward the perception of entrepreneur mind. Finally, it is suggested that action to satisfy by curiosity rather than sit ideal, and creation of the value is possible for the care of the customer and stakeholders of the business. Through learning ability, the entrepreneurs modify existing knowledge, skill and behavior which positively influence the mindset of a person. It has been suggested that entrepreneurs solve their problems in adverse situation by applying problem solving ability/logical thinking’. Whereas ability analyze market help entrepreneur to collect and analyze market information, evaluate alternatives and make the most suit able decision that will suit the prevailing market conditions. Apart from that through multivariate analysis, it has been suggested that the small traders in odisha would like to give priority of the following components such that 1) problem solving ability/logical thinking, 2) learning ability, 3) creation of value, 4) ability to manage complex tasks, 5) ability to engage stakeholders, 6) ability to analyze market, 7) criosity and 8) ability to anticipate technology for better way manage their business. 11 30 2019 10784 10796 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4349.118419 https://www.ijrte.org/portfolio-item/D4349118419/ Electrical and Electronics Engineering Department, Muffakham Jah College of Engineering and Technology, Road No. 3, Banjara Hills, Hyderabad-500034, India. K. Mahammad Rafi* P. V. N. Prasad Electrical Engineering Department, University College of Engineering, Osmania University, Hyderabad-500007, Telangana, India. This paper presents the proper design and selection of power circuit and control parameters of VSI based DSTATCOM for compensation of reactive power in a radial distribution systems, feeding power to crucial loads of an industrial, commercial and residential systems. The study of radial distribution system is analyzed in terms of electrical power system of institute, power consumption pattern and tariff related issues. Some conclusions were made to improve the system performance in terms of power factor and reduction in tariff. The DSTATCOM performance depends on the calculation of the reference source currents that generate the gating pulses of the VSI. 11 30 2019 11724 11729 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4350.118419 https://www.ijrte.org/portfolio-item/D4350118419/ School of Computer Science and engineering, VIT Vellore Institute of Technology, Vellore 632014, India. Bhulakshmi Bonthu* Subaji M Institute for Industry and International Programmes, VIT Vellore Institute of Technology, Vellore 632014, India. Indoor tracking has evolved with various methods and well known these days. There are diverse types of solutions that concentrate on exactness, low cost, and control utilization within the field. Particularly in recent years, Received Signal Strength Indicator based positioning estimation have been getting popular. Still, the accuracy are not adequate, and there's no correct way chosen to overcome this issue. In this paper, we propose a strategy that leverage Deep Learning and Wi-Fi/BLE (Bluetooth Low Energy) Fingerprinting strategy to produce superior precise accuracy. 11 30 2019 10797 10801 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4351.118419 https://www.ijrte.org/portfolio-item/D4351118419/ Department of Civil Engineering, Government Engineering College, Ujjain, India Pradeep Sindal* Dr.Savita Maru Department of Civil Engineering, Government Engineering College, Ujjain, India. The Tall building is being used as much as possible, to live, to commercial and to make statue. It will be of all the building different shapes, design and Structure. From this point of view any building having different discontinuity in mass, geometry of Structure and stiffness. This discontinuity impart the irregularities in the structure. The collapse of high rise building due to irregularities like in symmetries of mass, stiffness, height ratio and geometry of structure. To keep this needs for a long time, we must find out the permissible irregularities to get the maximum building strength/ building life. For design of tall building we need to consider wind load. So, the effect of vertically irregularities in the wind analysis performance of structure becomes really important. Now we will study about behavior of high rise building with different vertical setback and Area ratio on different models of moment resisting rigid frame structure with optimum location of shear wall. In this scrutinize, G+30 story rigid frame structure is taken with two different aspect ratio 1:4:9 and 1:1.56:2.25 for different set-back position in the structure. The set-back provided in the structure are Setback at 15&25 story, Setback at 15&20 Story, Setback at 10&25 Story, Setback at 10&15 Story, Setback at 5&20 Story and Setback at 5&15 Story. Story drift, Story Displacement, Base shear Result are revaluated. On the basis of this result best structure to be discover. 11 30 2019 10802 10808 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4354.118419 https://www.ijrte.org/portfolio-item/D4354118419/ Department of Automobile Engineering, Madras Institute of Technology, Anna University, Chennai, India. Sai Sudharshan Ravi* Dr Senthil Kumar P Department of Automobile Engineering, Madras Institute of Technology, Anna University, Chennai, India. Today, there are a few autonomous fire-fighting robots but the absolute autonomous decision making in places that involve discrete thinking is still unresolved. With remotely operated fire-fighting robots, this problem can be solved to an extent. The project involves use of a remote power source to reduce the weight of the robot and a bio-inspired design of the fire hose manipulator mimicking the elephant’s trunk using which the hose tip could be moved precisely up to 5° on every direction. The hose can be manipulated to direct the water towards the fire, using the live video feed from a camera and raspberry pi set up that are on board. The movement of the robot and the fire hose manipulator can be remotely operated using GUI interface. The response of the robot for various intensities of flame, the angular freedom of the manipulator and the projectile of water-flow were studied and calibrated for better performance. 11 30 2019 11524 11528 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4355.118419 https://www.ijrte.org/portfolio-item/D4355118419/ Computer Engineering, Jamia Millia Islamia, New Delhi, India. Mohd Zeeshan Ansari* Tanvir Ahmad Computer Engineering, Jamia Millia Islamia, New Delhi, India. Ana Fatima Computer Engineering, Jamia Millia Islamia, New Delhi, India. The task of written language identification involves typically the detection of the languages present in a sample of text. Moreover, a sequence of text may not belong to a single inherent language but also may be a mixture of text written in multiple languages. This kind of text is generated in large volumes from social media platforms due to its flexible and user friendly environment. Such text contains very large number of features which are essential for development of statistical, probabilistic as well as other kinds of language models. The large number of features have rich as well as irrelevant and redundant features which have diverse effect over the performance of the learning model. Therefore, feature selection methods are significant in choosing features that are most relevant for an efficient model. In this article, we consider the Hindi-English language identification task as Hindi and English are often the two most widely spoken languages of India. We apply different feature selection algorithms across various learning algorithms in order to analyze the effect of the algorithm as well as the number of selected features on the performance of the task. The methodology focuses on the word level language identification using a novel dataset of 6903 tweets extracted from Twitter. Various n-gram profiles are examined with different feature selection algorithms over many classifiers. Finally, an exhaustive comparative analysis is put forward with respect to the overall experiments conducted for the task. 11 30 2019 10505 10510 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4360.118419 https://www.ijrte.org/portfolio-item/D4360118419/ Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu, Terengganu, Malaysia. N. Ishak* H. Salleh Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu, Terengganu, Malaysia. A. N. Dagang Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu, Terengganu, Malaysia A. R. Salisa Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu, Terengganu, Malaysia. N. H. Kamarulzaman Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu, Terengganu, Malaysia S. M. Ghazali Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu, Terengganu, Malaysia. N. Abd Majid Faculty of Fisheries and Food Sciences, Universiti Malaysia Terengganu, Terengganu, Malaysia. Z. Ahmad Faculty of Science and Marine Environment, Universiti Malaysia Terengganu, Terengganu, Malaysia. Solar energy is one in all few sources to renewable power and it is considerably critical in our each day lifestyles usage thus resulted to ensure the practicality and usefulness of the devices which regularly used to capture and manipulate solar energy. In this work, studies the effect of conjugated chlorophyll (iCHLO) on power conversion efficiency with relation of iCHLO where optical and electrical properties were investigated. These hybrid solar cells consist of combination of organic (Poly (3, 4-ethylenedioxythiophene): poly (styrenesulfonate) and iCHLO) and inorganic (Titanium Dioxide, TiO2) materials. These hybrid solar cells were fabricated bilayer of ITO/TiO2/PEDOT: PSS/iCHLO/Al. Chlorophyll compound (CHLO) was extracted from the Pandanus amaryllifolius leaves. CHLO undergoes conjugate process by oxidation polymerization using Ferric Chloride (FeCl3) as catalyst. Different percentage of FeCl3 was varied by 5%, 10% and 15% of CHLO molecular weight. Result shows that UV-Vis absorption spectra of CHLO was absorbed in the range of 400 nm – 600 nm (CHLO-PA) and 240 nm - 360 nm (iCHLO-PA). The highest power conversion efficiency (PCE) was obtained at 1.33% and electrical conductivity is 0.135 Scm1 for ITO/TiO2/PEDOT: PSS/iCHLO-PA 10% hybrid solar cell. 11 30 2019 10142 10147 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D4361.118419 https://www.ijrte.org/portfolio-item/D4361118419/