-3dc97f3d182b6b0ed3d-6051 20220916034418025 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/ 07 30 2019 8 2 Department of Information Science and Technology, Kyoto Sangyo University, Kyoto, Japan. Mohit Mittal Lalit Kumar Saraswat Department of Computer Science and Engineering, Raj Kumar Goel Institute of Technology, Ghaziabad, India Wireless sensor networks (WSNs) are one of popular communication networks that have garnered most prominent research attention due to their flexibility to sense physical environment parameters and converts into signal form. Battery power is limitation of WSN i.e. network will alive till battery is available. The network lifetime of WSN can be improved by use of energy-efficient cluster-based routing algorithms. In this paper, a key idea is attempting to improvise the LEACH protocol with the help of various clustering techniques and develop improved protocol such as LEACH-K, LEACH-FUZZYC, and LEACH-SOM. Simulation results show that LEACH-FUZZYC outperforms as compare to LEACH, LEACH-K and LEACH-SOM. 07 30 2009 2812 2815 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1606.078219 https://www.ijrte.org/portfolio-item/B1606078219/ Assistant Professor, Mechatronics Department, Sri Krishna College of Engineering and Technology, Coimbatore, India. Priyadharshini R. Ananthi K Assistant Professor, Mechatronics Department, Sri Krishna College of Engineering and Technology, Coimbatore, India. Sivashankaran UG Scholar, Mechatronics Department, Sri Krishna College of Engineering and Technology. Coimbatore, India. The technological growth leads to various advanced inventions in the world, which makes the work ease. In this rush-up generation, we must adopt to an ease and the faster way to reach our destination on time without any troubles. Hence flying is the only way of faster transportation without any interference. However airplanes, Jets, helicopters etc helps us; Hover surf is a drone type flying model which flies over the sky with shorter distance from the land surface. Even it acts as an autonomous vehicle which can be operated or travelled by a person. Hover surf works under the principle of a flying drone. 2019 564 566 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1607.078219 https://www.ijrte.org/portfolio-item/B1607078219/ Department of Civil Engineering, MANIT, Bhopal Harshlata Vishwakarma Sunil Kumar Katiyar Department of Civil Engineering, MANIT, Bhopal With the development in space technology, new remote sensing satellites are launched around the world tremendously. The high resolution camera gives high resolution satellite images and the large data is produced by remote sensors persistently. Because of high efficiency, the vast inclusion of data with not being restricted by the spatial parameter, satellite representation winds up one of the imperative way to obtain geo-spatial data. With this data, the obtaining of land control points is essential in the image registration and geometric improvement of satellite pictures. In this research work, the influence of the quantity and geographical distribution of land ground control point in image registration and accurateness is examine through Voronoi Diagram (Thiessen polygon). A simulation investigation was carried out using remote sensing pictures to analyze the impact of distributed patterns of land control points on image registration and correction. The corrected values are measured by square root mean error (SRME) and with residual separations. It exhibits that the center distribution gives the most reduced SRME. Additionally, demonstrates that the land control point distribution in the center of image is less distorted in comparison to land control points positioned at borders and corners. Subsequently, the centralized uniform distribution of ground control points shows better results taking into consideration the overall deformation rate on the complete image registration. 07 30 2019 6483 6488 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1608.078219 https://www.ijrte.org/portfolio-item/B1608078219/ she received his UG and PG degree in Computer science discipline. Abirami. L Karthikeyan J Assistant Professor in School of Information Technology and Engineering, VIT, Vellore. What: Healthcare industries have been unified with the advent of cloud computing and Internet of Medical Things in recent past. How: As simplicity in access and transfer of medical reports increased, so does the impact of losing potential information. Adopting a cloud environment has eased the work of medical practitioners and provided world class medical attention to patients from remote corners of a nation. It has added the responsibility of cloud service providers to improvise the existing standards for protecting information in a virtual platform. A number of benefits not limitedto universal access, advice from renowned medical experts for deciding on diagnosis plan, alerting patients and hospitals in real timeand reducing the workload of labor are achieved by cloud environments. Hospital Information Systems (HIS) are the evolved data forms maintained manually in medical institutions and they are preferred in a cloud platform to improve interoperability. The information carried in such medical systems possesses critical information about patients that need to be protected over transmission between independent environments. This becomes a mandatory requirement for designing and implementing an access control mechanism to identify intention of users who enter into the environment. Relaxations in access control architectures will compromise the security of entire architecture and practice. Why: Intention - Demand Tree is proposed in this paper to limit the access rights of users based on their roles, requirements and permissions to monitor the usage of Health Information Systems. Investigative results illustrate that the risks of losing credible information has been limited and convenient than previous standards. 07 30 2019 567 573 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1610.078219 https://www.ijrte.org/portfolio-item/B1610078219/ Asst. Professor, Department of Civil Engineering, VR Siddhartha College of Engineering, Vijayawada. Suma. Yarlagadda SS. Asadi Assoc.Professor Department of Civil Engineering, Vignan’s Foundations for Science, Technology and Research, Deemed to be university, Vadlamudi, A.P, India. Ch. Nithin Kumar Reddy Asst. Professor,Department of Civil Engineering, Chalapathi Institute of Engineering & Technology, Guntur The aim of this paper is to find the probability of using wastewater obtained from water plants situated in private structures. For the purpose of case study water treatment plants are selected in the region of Kankipaduof Krishna District of Andhra Pradesh. Each plant produces about 3600 to 4100 L/day water is being sold to the consumers of the area. Each plant is producing about 67% of wastewater in this process. Hence 91,500 lts/day is generating as waste water in the municipality region. All plants extract ground water for production and then treat them through Reverse Osmosis Process. The waste water so generated is drained off. Physical and chemical investigation were carried out on 14 water treatment plants. Out of which 10 typical plants were selected namely ChaitanyaJunior College (CC), Punadipadu (PC) area, Near Shivalayam (SC) and Bank colony (BC),in view of the convergences of constituent's in wastewater investigated by chemical and physical examinations. Performance of chose wastewater plants on the properties for example setting times, flexural strength, and compressive strength of OPC were performed in lab and contrasted them with test specimens using Distilled Water as blending water. No noteworthy changes were seen in the initial setting time yet considerable change has seen in the final setting time. Concrete properties like Slump & Density had notinfluenced by mixing water [2]. No major change has observed in compressive strengths (90 days) in four selected plants contrastedwith that of test specimens. The XRD was carried out to observe the main compounds in the hydration process. 07 30 2019 574 580 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1612.078219 https://www.ijrte.org/portfolio-item/B1612078219/ Department of Computer Systems and Sciences, Jaipur National University, Jaipur, India. Mr. Raghvendra Omprkash Singh Dr. Blessy Thankachan Department of Computer Systems and Sciences, Jaipur National University, Jaipur, India. software defect prediction (sdp) technique was projected to designate testing assets sanely, decide the testing want of assorted modules of the software system, and improve programming quality. By utilizing the implications of sdp, programming specialists will fruitfully pass judgment on it that software system modules area unit sure to be blemished, the conceivable range of imperfections in a very module or different information known with software system defects before testing the software system [1]. Existing sdp studies may be divided into four types: (1) classification, (2) regression, (3) mining association rules, (4) ranking. The primary aim of the primary class is to classification of the software system entities like functions, classes, files, etc into completely different levels of severity with the assistance of various applied math techniques like supply regression [2] and discriminant analysis [3] and techniques of machine learning like svm [4] and ann [5]. The second kind aims to assess the amount of imperfections within the components of the software system by victimisation completely different ways, for instance, genetic programming, and support vector regression [6]. The third category utilizes association rule mining approaches, for instance, relative affiliation rule [7], and also the cba2 algorithmic rule, to mine the affiliation between the errors of programming components and programming measurements. The fourth category contemplates to rank the product of the software system as per the amount of errors in components or specifically streamlining the performance of ranking, i.e., faults share average (fpa) as indicated by existing studies of sdp [8]. Sdp distinguishes the modules that area unit imperfect and it needs a large scope of testing. Early recognizable proof of a blunder prompts viable allotment of assets, decreases the time and value of developing software system of high-quality. Hence, associate degree sdp model assumes a vital job in comprehending, assessing and rising the character of a product framework. Consequently, predicting deformity is incredibly basic within the field of reliableness and quality of software system. Predicting the defects is almost a unique analysis space of programming quality planning. By covering key indicators, forms of info to be assembled and also the role of sdp in software system quality, the connection among predictor and defect may be established. 07 30 2019 5082 5087 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1625.078219 https://www.ijrte.org/portfolio-item/B1625078219/ Research Scholar, School of Management, Kalinga Institute of Industrial Technology, Deemed to be University, Bhubaneswar, Odisha, India. Mr. Amarendra Ku. Pattnaik Dr. Satya Narayan Misra Dean, School of Management, Kalinga Institute of Industrial Technology, Deemed to be University, Bhubaneswar, Odisha, India. Mr. Sanjaya Kumar Ghadai Research Scholar, School of Management, Kalinga Institute of Industrial Technology, Deemed to be University, Bhubaneswar, Odisha, India. A customer centric claim settlement system goes a long way in mitigating the anxiety of patients. At the time of buying Health Insurance, a customer is assured that the Health Insurance Company (HIC) will take care of the medical expenses, in case of his hospitalization. But when such an eventuality happens, many times HICs go back on their words based on procedural non-compliance or because of some conditions written in fine prints. Therefore, how HICs respond to the financial needs of the patients during the claim settlement is the real Moment of Truth. Failure on the part of the HICs in honoring their commitment leads to high Out of Pocket (OOP) Expenses and acute financial hardship to the patients. This article is important primarily because a customer always has an apprehension about the claim settlement. Hurdles one faces during claim settlement is a big contributor to the low customer satisfaction (LCS) which in turn contributes to poor Health Insurance penetration. On the other hand, false, ineligible and inflated claims adversely affect the business model of HICs. The article also highlights why the Incurred Claim Ratio (ICR) in Health Insurance is very high in India and why this has become a roadblock towards expansion of Health Insurance Market (HIM). 07 30 2019 581 585 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1626.078219 https://www.ijrte.org/portfolio-item/B1626078219/ CSE, PACE Institute of Technology & Sciences, Ongole, Andrapradesh, India. Dr. S. Raj Anand Dr. Rama Chaithanya Tanguturi CSE, PACE Institute of Technology &Sciences, Ongole, Andrapradesh, India. Soundarrajan D S IT, PACE Institute of Technology &Sciences, Ongole, Andrapradesh, India. The latest trend in the research filed implies the importance of data security in wireless sensor networks. There are various approaches identified for securing the data by using trust wide security such as cryptographic systems and routing protocols. However, these approaches are very critical to identify the optimal path in the network and attacks by unauthorized node cannot be prevented. In this paper, a new algorithm for combining the AODV (Ad Hoc On-Demand Distance Vector) routing protocol and particle swarm optimization (PSO) is implemented to produce trustable routing in every location through block chain. The possible routing procedure will enhance the routing nodes to acquire routing information among all the nodes but will never allow the node to capture the information. The routing protocol on the blockchain is used to utilize the path efficiently without deviation caused by other anchor nodes. It also identifies the congestion in the entire path of the particular network and avoids tampering of information between the nodes. The blockchain enabled with PSO algorithm and AODV routing protocol provides the simulation results about the efficient packet delivery system. The Security has been performed in every node used to identify the best route for producing the efficient throughput and quality of services. 07 30 2019 1112 1117 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1627.078219 https://www.ijrte.org/portfolio-item/B1627078219/ Department of Electronics and Communication Engineering, School of Engineering and Technology, Jain(Deemed-to-be University) Bangalore, India. Pallavi H.B Aishwarya Shrikanth Department of Electronics and Communication Engineering, School of Engineering and Technology, Jain(Deemed-to-be University) Bangalore, India. Sandeep S Department of Electronics and Communication Engineering, School of Engineering and Technology, Jain(Deemed-to-be University) Bangalore, India. Sushanth S.P, Dr. Hariprasad S.A Department of Electronics and Communication Engineering, School of Engineering and Technology, Jain(Deemed-to-be University) Bangalore, India. Sunil M.P Department of Electronics and Communication Engineering, School of Engineering and Technology, Jain(Deemed-to-be University) Bangalore, India. Traffic congestion nowadays has become a chronic issue in the Metropolitan cities due to which it takes more time to travel than the same distance travelled during the off peak hours. This decreases the productivity of an individual by instances such as delayed delivery of services, unnecessary fuel consumption, air and noise pollution, delay in the case of emergency. The traffic congestion has become a predominant problem due to the rapid increase in the demand of vehicles. In places where junctions are closely spaced, encounter a typical issue of lingering in the same traffic signal for multiple times due to the slow moving vehicle caused by congestion. In order to control this issue, research works have been carried out in automating the traffic control system with the help of sensors, image or video processing and also by prioritizing emergency vehicles approaching the junctions. However, employing camera to monitor the traffic is an expensive task. Thus, we are proposing the Density based synchronous of junctions that are closely placed which helps us to save our commuting time significantly and thus enhancing one’s productivity. 07 30 2019 5781 5786 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1628.078219 https://www.ijrte.org/portfolio-item/B1628078219/ Research Scholar, Department of Computer Science, PSGR Krishnammal College for Women, Coimbatore, India. Thendral Tharmalingam Vijaya Vijayakumar Associate Professor, Department of Computer Science, PSGR Krishnammal College for Women, Coimbatore, India. Tamil writer identification is the task of identifying writer based on their Tamil handwriting. Our earlier work of this research based on SVM implementation with linear, polynomial and RBF kernel showed that linear kernel attains very low accuracy compared to other two kernels. But the observation shows that linear kernel performs faster than the other kernels and also it shows very less computational complexity. Hence, a modified linear kernel is proposed to enrich the performance of the linear kernel in recognizing the Tamil writer. Weighted least square parameter estimation method is used to estimate the weights for the dot products of the linear kernel. SVM implementation with modified linear kernel is carried out on different text images of handwriting at character, word and paragraph levels. Comparing the performance with linear kernel, the modified kernel with weighted least square parameter reported promising results. 07 30 2019 586 588 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1629.078219 https://www.ijrte.org/portfolio-item/B1629078219/ Scholar, Department of Computer Science & Engineering, Amity University, Noida (U.P), India. Ankur Bhardwaj Sanmukh Kaur Associate Professor, (Guide), Department of Electronics & Communication, Amity University, Noida (U.P), India. Anand Prakash Shukla Professor, (Co-Guide), Department of Computer Science & Engineering, KIET Group of Institutions, Ghaziabad (U.P), India Manoj Kumar Shukla Associate Professor (Co-Guide), Department of Computer Science & Engineering, Amity University, Noida (U.P), India. Medical Ultrasound images are generally corrupted by Speckle noise. It deteriorates the quality of ultrasound imaging and video that makes it difficult to observe visually. Because of which resolution and contrast of the image is reduced. Despeckling of medical US images is an important process for diagnostic of disease. In this paper effect of various existing despeckling filter on ultrasound images has been studied. All the filters have been implemented in a framework and result are observed in the form of various parameters such as GAE, MSE, SNR, SRMSE, PSNR, UIQI, SSIM, AD, SC, MD. The results obtained have been used for statistically comparing the performance of the filters. It is also analyzed that which type of filters are more suited for particular type of images, noise and other conditions. This will also provide guidelines for the researchers for designing of new filters in future. 07 30 2019 5058 5065 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1631.078219 https://www.ijrte.org/portfolio-item/B1631078219/ Department of Electronics and Communication Engineering, K L University, Koneru Lakshmaiah Education Foundation, Vaddeswaram-522502, Guntur, Andhra Pradesh, India. Md Zia Ur Rahman ShafiShahsavar Mirza Department of Electronics and Communication Engineering, Eswar College of Engineering, Kesanupalli, Narasaraopeta-522601, Guntur, Andhra Pradesh, India. K. Murali Krishna Department of Electronics and Communication Engineering, KKR & KSR Institute of Technology & Sciences, Vinjanampadu-522017, Guntur, Andhra Pradesh, India. Impedance Cardiography (ICG) is a noninvasive method for indirect measurement of stroke volume, monitoring the cardiac output and observing the other hemodynamic parameters by the blood volume changes in the body. The blood volume changes inside a certain body segment due to a number of physiological processes are extracted in the form of the impedance variations of the body segment. The ICG analysis provides the heart stroke volume in sudden cardiac arrest. In the clinical environment desired ICG signals are influenced by several physiological and non-physiological artifacts.As these artifacts are not stationary in nature, we proposed adaptive filtering techniques to eliminate the artifacts. In this paper we used Least Mean Square (LMS), Least Mean Fourth (LMF), Median LMS (MLMS), Leaky LMS (LLMS), and Dead Zone (DZLMS) adaptive techniques to eliminate artifacts from the desired signals. Several adaptive signal enhancement units (ASEUs) are developed based on these adaptive techniques, and evaluated on the real ICG signal components. The ability of these algorithms is evaluated by performing the experiments to eliminate the various artifacts such as sinusoidal artifacts (SA), respiration artifacts (RA), muscle artifacts (MA) and electrode artifacts (EA). Among these techniques, the DZLMS based ASEU performs better in the filtering process. The signal to noise ratio improvement (SNRI) for this algorithm is calculated as 11.9140 dB, 7.3657 dB, 10.4060 dB and 10.5125 dB respectively for SA, RA, MA and EA. Hence, the DZLMS based ASEUs are well suitable for ICG filtering in the real time health care monitoring systems. 07 30 2019 598 606 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1632.078219 https://www.ijrte.org/portfolio-item/B1632078219/ PhD Research Scholar, JNTUA, Ananthapuramu, A.P, India. D. Chandra Sekhar P.V. V Rama Rao Professor, Department of EEE, Sri Vasavi Engineering College, Pedatadepalli, Tadepalligudem, A.P, INDIA. V. Ganesh Professor, JNTUA College of Engineering, Pulivendula, A.P, India. Smart grid integration needs a highly accurate power scheduling to minimizes the losses and efficiently utilize the power supply to minimize the loss. Scheduling of a smart grid interface is monitored based on single or multiple objectives scheduler, where the smart grids are scheduled based on the measured parameters of power dispatch and the consumption model. Wherein, multi objective scheduling results in prominent result, the system is a linear monitoring model, where no previous observations are considered in making present decision. This constraint the accuracy of scheduling. In this paper, a new feedback scheduling operation based on feedback operation is proposed. the approach significantly feedbacks the past parameter variation and leads to an optimal power supply in smart grid interface. The experimental results obtained signifies a optimal improvement in the decision delay and power compensation. 07 30 2019 607 611 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1634.078219 https://www.ijrte.org/portfolio-item/B1634078219/ Department of Mechatronics Engineering,Sri Krishna College of Engineering and Technology, Coimbatore, Tamilnadu M. Bhuvaneswari Emmanuel Gospel Raj Department of Mechatronics Engineering,Sri Krishna College of Engineering and Technology, Coimbatore, Tamilnadu. T. Vignesh Department of Mechatronics Engineering,Sri Krishna College of Engineering and Technology, Coimbatore, Tamilnadu There are many varieties of fishes available in the market and the consumers are increasing day by day. This paper is mainly concentrated on automatic cleaning and cutting of fish. There is huge demand for fish cutting and cleaning machine in the market for easy use. Time and labor can be effectively managed if this type of machine is implemented in the fish market. This paper introduces the concept of Digital image processing technology to identify the various types of fishes and their sizes. Special convey rollers mechanism need to be designed and developed for handling different types of fishes. Technology will ensuring hygiene, quality and waste disposal. The following are the objectives of this paper design and implement Automatic Fish Cutting and Cleaning Machine. The shape, size of fish is analyzed using Digital Image Processing techniques. This will improve the living standard of rural women who sells different variety of fishes in the market, which empowers women in the society. 07 30 2019 612 615 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1635.078219 https://www.ijrte.org/portfolio-item/B1635078219/ HOD, Mechanical Engineering,VMIT,Nagpur D.D. Balsaraf P.P. Shirpurkar PCE,Nagpur Dr.V.M.Sonde PCE,Nagpur R.R. Gurpude Nuva college of Engg.,Nagpur M.S. Giripunje PCE,Nagpur The aim of this research work was to analyze the sensitization due to the effect of welding (Shielded Metal Arc Welding, Gas Tungsten Arc Welding & Gas Metal Arc Welding) heat in heat affected zone area in terms of metallurgical properties, mechanical properties and corrosion of base metal comparatively. Also the effect of different chemicals / acidic environments on tensile properties was investigated. The plates of 3 mm thickness of 409M Ferritic Stainless Steel welded at constant current of 90A by three different welding processes with the same filler metal. The microstructure observation was made after Marble reagent chemical etched. Then tensile properties were investigated and comparative analysis done between the tensile properties i.e. before and after the chemical exposure given to it with the parent metal. After completion of experimental work it is found that SMAW, GMAW and GTAW have affected the microstructure of 409M Ferritic Stainless Steel. Due to the acidic environments/ Chemical exposures the strength and ductility of the metal affects. But comparatively GTAW has shown better process than GMAW and SMAW for welding of 409M Ferritic Stainless Steel. It should be used with caution in sulphuric acid environments than chloride environments to resist corrosion. 07 30 2019 3904 3911 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1636.078219 https://www.ijrte.org/portfolio-item/B1636078219/ Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur (Dist)- 522502, India. Dr. Sanda Sri Harsha Harika Simhadri IT Consultant, Param Technologies Inc. Minneapolis, Dallas. Dr. Katragadda Raghu Department of Business Management, V R Siddhartha Engineering College, Vijaywada, India. Dr. K.V. Prasad Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur (Dist)- 522502, India. In the last few years the exponential rise in the demands or robust surveillance systems have revitalized academia-industries to achieve more efficient vision based computing systems. Vision based computing methods have been found potential for the different surveillance purposes such as Intelligent Transport System (ITS), civil surveillance, defense and other public-private establishment security. However, computational complexities turn-out to be more complicate for ITS under occlusion where multiple cameras could be synchronized together to track certain target vehicle. Classical texture, color based approaches are confined and often leads false positive outcome thus impacting decision making efficiency. Considering this as motivation, in this paper a highly robust and novel Distinctly Trained Multi-Source Convolutional Neural Network (DCNN) has been developed that exhibits pre-training of the real-time traffic videos from multiple cameras to track certain targeted vehicle. Our proposed DCNNvehicle tracking model encompasses multiple shared layers with multiple branchesof the source-specific layers. In other words, DCNN is implemented on each camera or source where it performs feature learning and enables a set of features shared by each camera, which is then learnt to identify Region of Interest (ROI) signifying the “targeted vehicle”. Our proposed DCNNmodel trains each source input iteratively to achieve ROI representations in the shared layers. To perform tracking in a new sequence, DCNNforms a new network by combining the shared layers in the pre-trained DCNN with a new binary classification layer, which is updated online. This process enables online tracking by retrieving the ROI windows arbitrarily sampled near the previous ROI state. It helps achieving real-time vehicle tracking even under occlusion and dynamic background conditions. 07 30 2019 624 634 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1639.078219 https://www.ijrte.org/portfolio-item/B1639078219/ Professor, K.S.School of Engineering and Management, Bangalore. Jyothi P N Susmitha M SB Designer, TechMahindra, Bangalore. Bharath Kumar M Project Coordinator, Deluxe Entertainment services India pvt.Ltd, Bangalore. The importance of health and environment has forced Machining Industries to reduce the application of Petroleum-based cutting fluid. But to ease the machining process and to increase the tool life, cutting fluids must be used. Research has been done on vegetable oils as cutting fluids which is easy for disposal and does not affect the environment and the operator’s health [1] . This paper discusses the machinability and tool life during drilling of a mild steel work piece using Neem, Karanja, blends of 50%Neem-50%Karanja, 33.3%Neem-66.6%Karanja, 66.6%Neem-33.3%Karanja as cutting fluid. Results obtained using petroleum-based oil are compared with the results obtained by using above mentioned combination of oils and also with dry cutting conditions. 07 30 2019 3328 3330 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1642.078219 https://www.ijrte.org/portfolio-item/B1642078219/ Department of Electrical Engineering, Aditya Institute of Technology, Srikakulam, Andhra Pradesh, 532301, India. Pramod Kumar Gouda Ramesh P. Department of Electrical & Electronics Engineering, CMR Institute of Technology, Bengaluru, Karnataka, 560037, India. Kodandapani D Department of Electrical & Electronics Engineering, CMR Institute of Technology, Bengaluru, Karnataka, 560037, India. M. Hari Department of Electrical & Electronics Engineering, CMR Institute of Technology, Bengaluru, Karnataka, 560037, India. Tejashri S Wable Department of Electrical Engineering, G.H.Raisoni Institute of Engineering & Technology, Pune, Maharastra,412207, India. This paper studies that graphene is one of the best option for sustainable future energy requirements of world. Utilizing the blend of natural and inorganic cells makes graphene cell having uncommon highlights which encourages us to get super properties. The transparent and conductive films based on grapheme were shown to be financially savvy with high thermal and electrical conductivity. Graphene is comprised of a solitary layer of carbon atoms that are fortified together in a rehashing example of hexagonsIt is a 2 dimensional material with astounding qualities like amazingly solid and primarily transparent and furthermore incredibly conductive and adaptable. Graphene is made of carbon, which is bounteous, and can be a generally economical material.. Graphene has an apparently unending potential for improving existing items just as rousing new ones. In this article, need of graphene material, advantage over PV material, structure, properties and utilizations of graphene are reviewed. 07 30 2019 53 57 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1644.078219 https://www.ijrte.org/portfolio-item/B1644078219/ Professor & HOD, Department, of CSE Eluru College of Engineering & Technology, Eluru. Dr. Guru Kesava Das. Gopisettry Mr. KasaniVaddi Kasulu Assistant professor at Eluru College of Engineering and Technology, Eluru, Mr. Kuchipudi Raj Kamal Assistant professor, Eluru College of Engineering and Technology, Eluru, Mr. Gandi Pranith Assistant professor at Eluru College of Engineering and Technology, Eluru, Md Zia Ur Rahman Professor Department of Electronics and Communication Engineering,KoneruLakshmaiah Educational Foundation Guntur, India. Virtual Network Functions (VNFs) situation and tying within the sight of physical connection disappointments. A steering convention's duty lie s in deciding the manner in which switches speak with one another so as to advance any sort of bundles from a source to a goal utilizing the ideal way that would give the most proficiency. Continuous basic interactive media requires effective steering for information conveyance with ensured QoS fulfilling the stringent QoS prerequisites of sight and sound transmission for the most part means high vitality utilization. We propose a jump by-bounce dynamic disseminated directing plan for the execution of this system wide enhancement issue. The calculation created in this paper is gives multipath directing, uses every conceivable edge, ensures recuperation from single connection disappointment and accomplishes all these with at most one piece for every bundle as overhead while steering depends on goal address and approaching edge. The proposed calculation designs vitality mindful bunch comprising of one header hub and various part hubs. The Software Defined Networking (SDN) can possibly empower dynamic setup and control for the improved system the executives. This document introduces the plan of a virtualization organizer dependent on system strategy in SDN conditions. The proposed novel directing calculations for diminishing the vitality utilization of optical systems to rest cycle conventions in favor of utilize in the system hubs. Vitality Aware visual system conventions can affect the Quality-of-Services-(QoS), for example, bit-blunder-rate (BER) and postponement. Our reproduction tests demonstrate that way part, way relocation, and tweaked implanting calculations empower a substrate system to fulfill a lot bigger blend of virtual systems. 07 30 2019 635 639 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1645.078219 https://www.ijrte.org/portfolio-item/B1645078219/ Post Graduate Student, Department of Civil Engineering, Government College of Engineering, Aurangabad, Maharashtra State, India M. N. Admankar G. K. Patil Associate Professor, Department of Civil Engineering, Government College of Engineering, Aurangabad, Maharashtra State, India Soil erosion is one of the most serious environmental problem which must be taken in to consideration to prevent economic imbalances in nature. Soil erosion not only affect the agricultural productivity but also increases level of sedimentation. The study was carried out to determine the soil erosion for the watershed which is located in Godavari middle sub basin, Nanded district, Maharashtra state (India). The universal soil loss equation (USLE) and Geographic information system (GIS) technique was used to determine soil erosion. Present study revealed that, the study area is under moderate erosion with an average soil loss 7.233 tones/ha/yr. Where as minimum and maximum erosion rate observed as 5.39 tones/ha/yr to 10.27 tones/ha/yr respectively. The various maps of USLE factors prepared in QGIS environment. Statistically significant relationship obtained between soil loss and cover management factor (C). It was observed that C factor more influences in soil loss than any other factor. 07 30 2019 3936 3939 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1646.078219 https://www.ijrte.org/portfolio-item/B1646078219/ Symbiosis Institute of Business Management, Symbiosis International (Deemed) University, Pune, India. Dr. Santosh Gopalkrishnan Parth Aggarwal Credit Manager – Mid Corporates, ICICI Bank. Nehachandra Balabhadra Asst. Relationship Manager, ICICI Bank. Mergers and acquisitions (M&A) are inorganic growth strategies which have their importance in the present corporate world because of the prevailing stringent business conditions. In the current globalised economy, M&As are progressively utilised for enhancing the intensity of pharmaceutical firms through the rise of their market share in the industry, widening of product portfolio to enter new markets and geographies (competitive advantage) and reaping benefits through enhanced economies of scale. A strong and developing domestic market, a substantial pipeline of generic medicines and a capacity to service established markets abroad have swiftly made the Indian pharmaceutical companies most sought-after in the M&A space. This paper analyses the performance of M&A activities in the pharmaceutical space in India. It aims to consider the pattern in M&A across pharmaceutical companies in India, especially during the period 2005–2017 through a pre-merger and post-merger analysis. The paper performs a pre and post-merger comparison of 4 most crucial M&A deals in the Indian pharmaceutical landscape through metrics like ratio analysis, share price performance (accretion or dilution in case of listed companies) and synergy benefits from the point of view of the target as well as the acquirer and the combined entity as a whole. 07 30 2019 3256 3265 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1651.078219 https://www.ijrte.org/portfolio-item/B1651078219/ (MTech), Department of CSE, G. Pulla Reddy Engineering College, Autonomous, Kurnool. Kotrike Swetha M. Imtiaz Ur Rahaman Associate Professor, Department of CSE, G. Pulla Reddy Engineering College, Autonomous, Kurnool. India’s population is enormous and diverse due to which its education system is very complex. Furthermore, due to several reasons that they have grown up in different environmental situations. Over the years, several changes have been suggested and implemented by various stakeholders to improve the quality of education in schools. This paper presents a novel method to predict the performance of a new student by the analysis of historical student data records, and furthermore, we explore the NAS dataset using cutting edge Machine Learning Algorithms to predict the grades of a new student and take proactive measures to help them succeed. Similarly, NAS Dataset can also be worthwhile to the employee dataset and can predict the performance of the employee. Some of the Supervised Machine Learning Algorithms for Classification which have been successfully applied to the NAS dataset. Support Vector Machines and K-Nearest Neighbours algorithms did not crop results in coherent time for the given dataset; Gradient Boosting Classifier outperformed than all other algorithms reliably. 07 30 2019 3272 3275 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1652.078219 https://www.ijrte.org/portfolio-item/B1652078219/ Department of Electronics & Communication Engg.,MANIT,Bhopal,India Jaya Koshta Kavita Khare Department of Electronics & Communication Engg.,MANIT,Bhopal,India. Motion Estimation(ME) operationinvolves predicting the frames and identifying motion vectors sothat redundancy can be exploited by eliminating the transfer ofsimilar information between successive frames.The most efficientand simple technique to estimate the motion vectors is Summation ofAbsolute Difference(SAD) where comparator forms one of an elemental component in SAD computation.This paper proposes two different comparator designs where propoundcircuit I is based on efficient look ahead comparator andpropound circuit II uses alteredone’s complement and conditional sum adder method. Results shows that propound circuit I reduces delay by 23%but with 16% increase in number of slice LUTs whereas the propoundcircuit II reduces delay by 11% and gives 33% reduction in number of slice LUTsas compared to traditional circuit. The propound hardwarecircuits are implemented on Virtex 7 FPGA and synthesized using Verilog as HDL language on Xilinx ISE 14.2. 07 30 2019 1118 1123 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1656.078219 https://www.ijrte.org/portfolio-item/B1656078219/ Research Scholar, Sathyabama Institute of Science & Technology, Chennai, India. S. Ramarajan Dr.R.Samuel Rajesh Babu Associate Professor, Dept.of EIE, Sathyabama Institute of Science & Technology, Chennai, India. This research paper is about proposing and discussing the concept of an interleaved coupled-inductor boost converter for locomotives. Two switches in the proposed converter can be simultaneously switched ON and OFF by interleaving the inductor in the converter. The main advantage of this type is better efficiency, fewer components, and cost. The voltage across the two inductors is altered at the same time by coupling the inductors. This method reduces volume and cost of the circuit. Interleaving topology reduces the current ripples while the cascading method reduces the voltage ripples. Hence the converter functions and efficiency can be improved. The simulation analysis of the proposed converter with different controllers has been studied and verified in this paper. 07 30 2019 1124 1128 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1657.078219 https://www.ijrte.org/portfolio-item/B1657078219/ M B.Tech, MBA Research Scholar, VIT Business School, Vellore Institute of Technology Chennai Campus, Tamil Nadu, India Hema Priya Dr. Venkatesh R MBA, PhD Professor, VIT Business School, Vellore Institute of Technology Chennai Campus, Tamil Nadu, India In today’s world of wealth centered and technology drivenhuman population, the dawning era of social entrepreneurship acts as an inception agent in finding solutions to nearly all the pivotal and despairing social, environmental and cultural problems prevailing in the society. Throughout history researches carried out on identifying the underlying factors motivating and supporting the evolution and sustainability of social entrepreneurship venture creation, has led to various constructive results. In an attempt to understand the triggering effect these social and entrepreneurial drive factors possess upon an individual’s social entrepreneurship intentions; it was observed that the paradoxical effect of the coexistence of the social and entrepreneurial drive factors on the sustainability of social entrepreneurship has received less attention. Seeking to scrutinize that gap in the literature, this paper aims at identifying the level of inclination social entrepreneurs exhibit towards the social and entrepreneurial drive factors in the process of social entrepreneurship venture creation and the degree of contribution these factors have towards the sustainability of those social ventures from in-person, structured interviews with social entrepreneurs across various fields of operations in Tamil Nadu. This paper follows multivariate analysis techniques for testing the interdependency association amongst the measurement variables measured under entrepreneurial and social drive elements influencing social entrepreneurship. The empirical findings of the paper show that, the entrepreneurial drive factors receive relatively less importance in comparison to the social interests of the entrepreneur. Thus this paper concludes that paradoxical effect between the social and entrepreneurial drive factors have a negative impact on the sustainability of the social enterprises. The paper discussion traces on ways to offset that negative impact and improve sustainability of social enterprises. 07 30 2019 644 649 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1658.078219 https://www.ijrte.org/portfolio-item/B1658078219/ Department of Electrical & Electronics Engineering, G. L. Bajaj Institute of Technology and Management Amit Kumar Amit Prakash Department of Electrical & Electronics Engineering, G. L. Bajaj Institute of Technology and Management Mrs. Priyanka Datta Department of Electrical & Electronics Engineering, G. L. Bajaj Institute of Technology and Management Rajesh Kumar Department of Electrical & Electronics Engineering, G. L. Bajaj Institute of Technology and Management Anant Gopal Sharma Department of Electrical & Electronics Engineering, G. L. Bajaj Institute of Technology and Management ‘Automatic cooking machine’ as the name itself implies, cooking of food automatically without any human effort. Main aim is to make cooking easier, simple and less time consuming.[1] The machine will have pre-loaded recipes of your choice and the amount of ingredients will be specified in a C-language program, so you just have to choose the recipe you want to eat and the machine will start to prepare your food and notify you when the food is ready.[2] In present day scenario there is a rapid increase in inventions of machines which are based on automation process and they are used in every sector from home to industries. Our machine consists of induction cooker, bowls, oil and water pump, spice dispenser and some other components whose purpose is for stepwise addition of ingredients and cooking the food eventually. We have newly designed cooking pot which avoids the foods from burning. This machine can prepare food as close as food which can be prepared by a human hand.For communicating with the machine, we have installed a HMI interface through which we give command to the machine and every working process of the machine is controlled by Arduino2560 kit. This machine can be used in our day to day life and even in industries for mass production of certain food products. 07 30 2019 650 653 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1659.078219 https://www.ijrte.org/portfolio-item/B1659078219/ Research Scholar, Division of Chemistry, Department of Sciences and Humanities, Vignan’s Foundation for Science Technology and Research, Deemed to be University, Amaravathi, Guntur, Andhra Pradesh., India T. Vijaya Prasadini N. Srinivasu Professor and Head of the Department, Department of Science and Humanities, Vignan’s Foundation for Sciences Technology and Research, Deemed to be University, Amaravathi, Guntur, Andhra Pradesh., India M. V. Raju Assistant Professor, Department of Civil Engineering, Vignan’s Foundation for Science Technology and Research, Deemed to be University, Amaravathi, Guntur, Andhra Pradesh., India The essential requirement for human life to exist is water. After to the air, the other It has in various sources such as canals, ponds, rivers, lake, streams, reservoirs and etc. human settlers on the banks of major river systems at the earliest and has need water for drinking, bathing, cooking, laundering, and many more. But with the advancement of civilization the demand of water supply grately increased and now has such a stage to come that without well organized public water supply scheme, it is not possible to move the present human life and the develop the towns. Earlier has importance on quantity. And now today importance of quality comes to be recognized gradually in the later days. In this present study, numbers of water samples were collected various water supply schemes from 20 villages of bhimavaram region, West Godavari district, Andhra Pradesh. The drinking water samples are analyze its biological quality and it was found that some of the samples in the study area are exceeds or above the standard limit or permissible limit. On over all based on biological quality few drinking water sources located in and around different areas of Bhimavaram was seriously polluted by harmful bacteria and must need few treatment methods. So that need of attention not to use of supplied water and need to give suggestions and remedial measures to concerned local authorities of various disinfection treatment technologies or control measure to make supplied water free from pathogenic Bactria. Quality Assessment of drinking water from various sources (S Malhotra, S.K., Sndhu (2015), especially bacteriological quality should be periodically planned regularly to avoid and control waterborne diseases 07 30 2019 888 892 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1660.078219 https://www.ijrte.org/portfolio-item/B1660078219/ Civil Engineering, Noorul Islam Centre for Higher Education, India Jeyakumar. A Ravikumar. M.S Civil Engineering, PSN College of Engineering and Technology, India. Nalanth. N Civil Engineering, Noorul Islam Centre for Higher Education, India In the field of construction hollow sections have found wide application due to its advantageous properties. Many research works have been conducted to study the flexural and tensional behaviour of hollow reinforced concrete beams. But its behaviour using High-Performance Concrete (HPC) has been poorly noticed. In this study an attempt made to evaluate Hollow reinforced beams made with HPC and reinforced with hybrid steel fibres. The flexural behaviour of hollow beams based on the effect of Carbon fibre reinforced polymer (CFRP) has also been explored. A comparison is made between the results obtained from analysis using ANSYS software with the experimental test result. It is noticeable that the flexural strength, its ductility, and stiffness is not affected but the self-weight of the structure is reduced due to hollow beams. 07 30 2019 1129 1133 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1661.078219 https://www.ijrte.org/portfolio-item/B1661078219/ Civil Engineering, Bharath institute of Higher education and Research, Chennai, India Frank Stephen. S Chockalingam. M.P Civil Engineering, Bharath institute of Higher education and Research, Chennai, India Nalanth. N Civil Engineering, Noorul Islam Centre for Higher Education, India The beam column joint failure normally occurs due to the natural disaster like a strong earthquake, which leads to the collapse of buildings. A huge number of experimental studies have been conducted on beam-column joints made up of SCC using Natural aggregates. Only a few numbers of studies have been done on SCC (Self Compacting Concrete) made up of Recycled Concrete Aggregate (RCA). So, there is a necessity arises to conduct the experiments on beam-column joints produced with SCC using Recycled Concrete Aggregate (RCA). This paper presents behaviour of beam-column joint made up of SCC with RCA. A series of ten beam-column joints with three interior joints and two exterior joints were subjected to loading test, and the results were obtained in terms of load carrying capacity, ultimate load at failure and deformation curves. The obtained results gave experimental evidence of the applicability of RCA in SCC beam-column joints. 07 30 2019 654 660 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1662.078219 https://www.ijrte.org/portfolio-item/B1662078219/ Assistant Professor in Department of Electronics & Communication Engineering at University Institute of Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal (M.P.). India Dr. Avinash Rai Surbhi Vyas Department of Electronics & Communication Engineering at University Institute of Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal (M.P.). India There are various techniques which have been developed to improvise the modulation technique exploited in the system which were intended to enhance the data rate and bandwidth of the 5G network. Various researchers worked on OFDM modulation technique in order to enhance the efficiency as it is successfully working on 4G networks. Although utilization of OFDM in 5G networks will not provide the expected outcomes due to some flaws. This paper proposed a system that induced FBMC (Filter Bank Multi-Carrier) modulation technique which is capable of delivering higher spectral efficiency than OFDM. Proposed method employed APSK (Amplitude Phase Shift Modulation) for the modulation of sub carriers. The idea of implementing APSK in FBMC is to optimize the peak to average power ratio and also reduces bit error rate. The techniques proposed in the system, aimed to achieve high efficiency in terms of data rate and bandwidth with less power consumption. By using MATLAB all the simulations will be performed to analyze the results of spectral efficiency in terms of BER vs Eb/No (SNR) and power spectral density. 07 30 2019 661 667 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1664.078219 https://www.ijrte.org/portfolio-item/B1664078219/ TIFAC-CORE in Cyber Security, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India. emyasree N Chungath Srinivasan TIFAC-CORE in Cyber Security, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India Time-lock encryption is a type of encryption in which the process is bound by a factor of time that enables previously impossible applications such as secure auctions, mortgage payment, key escrow, or fair multiparty computations. Existing solution approaches of time lock either employ computational overhead to calculate time or use analogues to map the real-world time, hence lacks reliability. We propose a reliable time-lock encryption scheme, where even receivers with relatively weak computational resources can decrypt the cipher after an accurate real-world deadline, without any interaction with the sender. Proposed solution uses time fetched from timeservers over secured https channel for time lock accuracy and strong AES-256 encryption/decryption techniques for reliability. The paper briefly discusses a java based prototype implementation of the proposed approach and the experimental results. 07 30 2019 893 897 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1674.078219 https://www.ijrte.org/portfolio-item/B1674078219/ Department of Comptuer Science, PSGR Krishnammal College for Women, Coimbatore, India. P. R. Asha M. S. Vijaya Department of Comptuer Science, PSGR Krishnammal College for Women, Coimbatore, India Drug discovery for rare genetic disorder like spinocerebellar ataxia is very complicated in biomedical research. Numerous approaches are available for drug design in clinical labs, but it is time consuming. There is a need for affinity prediction of spinocerebellar ataxia, which will help in facilitating the drug design. In this work, the proteins are mutated with the information available from HGMD database. The repeat mutations are induced manually, and that mutated proteins are docked with ligand. The model is trained with extricated features such as energy profiles, rf-score, autodock vina scores, cyscore and sequence descriptors. Regression techniques like linear, polynomial, ridge, SVM and neural network regression are implemented. The predictive models are built with various regression techniques and the predictive model implemented with support vector regression is compared with support vector regression kernel. Among all regression techniques, SVR performs well than the other regression models. 07 30 2019 3642 3648 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1678.078219 https://www.ijrte.org/portfolio-item/B1678078219/ School of Mechanical & Building Sciences, Vellore Institute of Technology, Chennai, India. Dani Prafullkrishna Kiran S. Sivarajan School of Mechanical & Building Sciences, Vellore Institute of Technology, Chennai, India. Automobile manufacturers nowadays release new models or new variants of their vehicles in a very short span of time. As a result, for every new product, the manufacturing equipment has to be modified or updated to suit the production requirements. This leads to development of new customized manufacturing equipment for production. Thus along with the new variants, there is an increase in the fixed cost related to production due to investments in the development of the machines. To reduce fixed cost involved due to development and fabrication of the machine, it is necessary to minimize the material utilized during fabrication of the machine. Hence it is important not to overdesign the equipment with respect to strength and deformation. General practices include procedures like modifications in design of the previously used equipment to suit the new equipment followed by fabrication of the new equipment. This can lead to increase in material consumption and thus overdesign of the equipment with respect to the same. This study deals with the design and analysis of the structural elements of a press. This press is used to assemble two thrust bearing races in the motorcycles steering tubes connected to the frame of the motorcycle. The design of the machine is customized to withstand loads for the specific application. The approach of the design process is concurrent instead of iterative design. The process tackles each structural element in a way to determine the best suitable dimensions to maximize strength and minimize material, thereby optimizing the design 07 30 2019 668 673 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1680.078219 https://www.ijrte.org/portfolio-item/B1680078219/ Electronics and Communication Engineering, GITAM Deemed to be University, Bengaluru Campus, India Sunita Panda Padma Charan Sahu Electronics and Communication Engineering, Kalam Institute of Institute of Technology, Odisha, India. In order to improvement both system performances and data rate Multiple Input Multiple Output techniques play an important role in transmission system. A number of techniques are used to do the needful work for performance improvement in MIMO systems belongs to different block codes, apart from that BLAST architecture are used Such as Diagonal Bell laboratories layered space-time (D-BLAST), Vertical Bell Labs Space-Time Architecture (V-BLAST) method. This work defines the performance improvement using V-BLAST technique in Multiple Input Multiple Output detector. Here we discuss the concept of Multiple Input Multiple Output with BLAST architecture. Depends upon the Bit Error Rate and Frame Error Rate, the comparison is made with the existing methods. 07 30 2019 898 901 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1682.078219 https://www.ijrte.org/portfolio-item/B1682078219/ S R, Department of Electronics and Communication Engineering, Bannari Amman Institute of Technology, Sathya mangalam, India. Sannasi Chakravarthy Harikumar Rajaguru Department of Electronics and Communication Engineering, Bannari Amman Institute of Technology, Sathyamangalam, India. The work aims to detect and correct the noisy mammogram images corrupted by impulse noise. This is achieved in two phases – identification of noise-affected pixels and renovation of those pixels in an image. The pixels which are disturbed by impulse noise are identified by Bi-dimensional Empirical Mode Decomposition (Bid-EMD). The restoration of these pixels and noise removal are done by fast adaptive bilateral filter (fABF). The proposed work for impulse noise removal is examined on digital mammogram images of Digital Database for Screening Mammography (DDSM) database. The proposed approach is compared with other existing state-of-the-art schemes using peak signal to noise ratio (PSNR) and image enhancement factor (IEF) performance measures. The study of performance of the proposed scheme provides enhanced outcome than the other algorithms used for impulse noise removal. 07 30 2019 674 678 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1685.078219 https://www.ijrte.org/portfolio-item/B1685078219/ Research Scholar, Hindustan Institute of Technology and Science, Chennai. India Department of Mathematics, IFET College of Engineering-Villupuram, India C. Jesuraj A. Rajkumar Department of Mathematics, Hindustan Institute of Technology and Science, Chennai, India In this paper, we have introduced a new way to solve an ordinary differential equation by using Nanogonal intuitionistic fuzzy numbers. A new version of INFN addressed here. Here we formed different types of NIFN System and we discussed the properties said fuzzy numbers. Demonstration of Nanogonal intuitionistic fuzzy solution in FDE is carried out with INFN.Finally one examples problem also solved with pictorial representation of said method. 07 30 2019 902 909 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1687.078219 https://www.ijrte.org/portfolio-item/B1687078219/ Professor of ECE, Center for Communication and Signal Processing, Sree Vidyanikethan Engineering College, Tirupati. N. Padmaja D.Leela Rani Professor of ECE, Center for Communication and Signal Processing, Sree Vidyanikethan Engineering College, Tirupati M. Bharathi Assistant Professor of ECE, Center for VLSI & Embedded Systems, Sree Vidyanikethan Engineering College, Tirupati. Power is a major constraint in Digital VLSI circuits, due to reduction in sizes of Metal Oxide Semiconductor (MOS) transistors are scaling down. Low-power technologies are used to diminish the power utilization be able to be classified as Sub-threshold CMOS and Adiabatic logic tachniques. In, Sub-threshold CMOS defines a system which reduces the power utilization to inferior than the threshold voltage of a MOS Device, where as Adiabatic logic circuit is a method which minimizes the energy usage through suppress the applied voltage to the resistance of a given VLSI design. This effort deals to offer a subthreshold adiabatic logic circuit of low power CMOS circuits that uses 2φ clocking subthreshold Adiabatic Logic. The digital circuits were designed in HSPICE using 0.18 μm CMOS standard process technology. It is evident from the results that the 2φ Clocking Subthreshold Adiabatic design is beneficial in major application where power starving is of major significance at the same time as in elevated its performance efficiency in DSP processor IC, System on chip, Network on chip and High speed digital ICs. 07 30 2019 101 106 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1692.078219 https://www.ijrte.org/portfolio-item/B1692078219/ Professor of ECE, Center for Communication and Signal Processing, Sree Vidyanikethan Engineering College, Tirupati. N. Padmaja D.Leela Rani Professor of ECE, Center for Communication and Signal Processing, Sree Vidyanikethan Engineering College, Tirupati M. Bharathi Assistant Professor of ECE, Center for VLSI & Embedded Systems, Sree Vidyanikethan Engineering College, Tirupati. Identifying the accurate radar echo returns from the MST (Mesosphere-Stratosphere–Troposphere) region poses serious challenges, as the radar echo signals are of very low amplitude and hidden in noise. The process of extraction of the relevant signal information becomes intricate when the spectra sometimes are infected with interference signals of non-atmospheric origin. An automated algorithm is suggested for eliminating the interference bands in the Doppler spectra of MST radar signals. The process of removal of interference and de-noising of the radar echoes using soft thresholding techniques was achieved simultaneously. The algorithm was practically applied to interference contaminated MST radar data taken from National Atmospheric Research Laboratory (NARL), Gadanki, Tirupati and studied for removal of interference bands. It was found that the projected algorithm effectively removes multiple interference bands and also improves signal detectability. The power and Doppler values (moments) are estimated using FFT and HHT (Hilbert Huang Transform) and median Doppler is plotted on Doppler power spectrum and compared. 07 30 2019 1134 1138 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1693.078219 https://www.ijrte.org/portfolio-item/B1693078219/ Dept of CSE, Velagapudi Ramakrishna Siddhartha Engineering College, (Autonomous) Kanuru , Vijayawada Andhra Pradesh - 520007,India A. Sravani S. Ravi Kishan Associate Professor M.Tech (phd), Velagapudi Ramakrishna Siddhartha Engineering College (Autonomous) Kanuru , Vijayawada, Andhra Pradesh - 520007,India Highlight choice might be significant as data is made ceaselessly and at a consistently developing charge, it decreases the extreme dimensionality of certain issues. Highlight decision as a pre-preparing venture to gadget acing, is ground-breaking in bringing down repetition, getting rid of unessential records, developing picking up learning of exactness, and improving final product fathom ability. This work offers far reaching strategy to work decision inside the extent of classification issues, clarifying the principles, genuine application issues, etc inside the setting of over the top dimensional records. To begin with, we consideration on the possibility of trademark decision gives an examination on history and essential standards. We advocate quick sub sampling calculations to effectually rough the most extreme shot gauge in strategic relapse. We initially build up consistency and asymptotic ordinariness of the estimator from a well known sub sampling calculation, and afterward determine choicest sub sampling probabilities that limit the asymptotic suggest squared blunder of the subsequent estimator. An open door minimization standard is additionally proposed to additionally diminish the computational esteem. The best sub sampling chances rely on the all out data gauge, so we increment a - step set of guidelines to inexact the perfect sub sampling strategy. This arrangement of guidelines is computationally effective and has a gigantic markdown in figuring time contrasted with the entire insights technique. Consistency and asymptotic typicality of the estimator from a two-advance arrangement of principles are likewise mounted. Fake and real data units are utilized to assess the pragmatic generally execution of the proposed system. 07 30 2019 679 686 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1696.078219 https://www.ijrte.org/portfolio-item/B1696078219/ II Year MCA, School of Computing Science and Engineering, VIT - Chennai Campus Ashutosh Bansal Saleena B Associate Professor, School of Computing Science and Engineering, VIT - Chennai Campus Prakash B Assistant Professor, School of Computing Science and Engineering, VIT - Chennai Campus As social media is in boom, it is becoming very easier for customers to share their views and comments and express their feelings regarding any products which are present in online social media. . If these data can be analyzed efficiently different suggestions can be provided to the company regarding to improvise their products sale. It becomes easier for the company to understand the customer’s reaction after seeing the advertisements of the products posted on social media. This research focuses on analyzing the sentiments of customers based on the comments and reviews of products available in Facebook. Sentimental Analysis is performed to analyze the customer comments as positive, negative and neutral and later they are labeled as 0 or 1. After the labeling process, a comparative analysis is performed using different classification algorithms. The classification algorithms used are K Nearest Neighbors (KNN), Support Vector Machine (SVM) and Naïve Bayes Classifier. The classification algorithm with the highest accuracy is identified to predict the sales of online products. 07 30 2019 1139 1143 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1700.078219 https://www.ijrte.org/portfolio-item/B1700078219/ Research Scholar, Computer Science and Engineering Department, Jain University, Bangalore, India. Ravi C. Bhaddurgatte Dr. Vijaya Kumar B. P. ISE Department, M S Ramaiah Institute of Engineering and Technology, Bangalore, India. Internet of Things (IoT) is one of the fast-growing technology paradigms used in every sectors, where in the Quality of Service (QoS) is a critical component in such systems and usage perspective with respect to ProSumers (producer and consumers). Most of the recent research works on QoS in IoT have used Machine Learning (ML) techniques as one of the computing methods for improved performance and solutions. The adoption of Machine Learning and its methodologies have become a common trend and need in every technologies and domain areas, such as open source frameworks, task specific algorithms and using AI and ML techniques. In this work we propose an ML based prediction model for resource optimization in the IoT environment for QoS provisioning. The proposed methodology is implemented by using a multi-layer neural network (MNN) for Long Short Term Memory (LSTM) learning in layered IoT environment. Here the model considers the resources like bandwidth and energy as QoS parameters and provides the required QoS by efficient utilization of the resources in the IoT environment. The performance of the proposed model is evaluated in a real field implementation by considering a civil construction project, where in the real data is collected by using video sensors and mobile devices as edge nodes. Performance of the prediction model is observed that there is an improved bandwidth and energy utilization in turn providing the required QoS in the IoT environment. 07 30 2019 687 694 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1705.078219 https://www.ijrte.org/portfolio-item/B1705078219/ Department of Labor Protection and Environment, Faculty of Engineering Systems and Environment, Kyiv National University of Construction and Architecture, Kyiv, Ukraine. Oksana Hunchenko The continuous improvement of the regulatory framework in the field of labor protection and global and environmental safety legislation, implementation of the Ukraine-EU Association Agreement are effective measures carried out by the state, aimed at creating a favorable legislative climate for employers in the area of their responsibility for establishing safe working conditions. Statistics on the occupational injuries level indicate a decrease in the total number of accidents and the number of lethally injured workers year after year. The study carried out by the author will allow for a well-grounded risk assessment of occurrence of industrial accidents and its subsequent implementation in emergencies. The proposed methodology for the safety function deployment and constructing a “house of safety” is one of the modern ways of expanding methodological approaches when using a risk-oriented approach in safety management systems and occupational hygiene. 07 30 2019 5787 5790 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1706.078219 https://www.ijrte.org/portfolio-item/B1706078219/ Electrical and Electronics Engineering, JNTUH College of Engineering Jagtial, Hyderabad, India. Vurity Anudeep Harshith Ch. Electrical and Electronics Engineering, JNTUH College of Engineering Jagtial, Hyderabad, India. Ram Kumar Paidi Electrical and Electronics Engineering, JNTUH College of Engineering Jagtial, Karimnagar, India. Ch. Radha Charan Electrical and Electronics Engineering, JNTUH College of Engineering Jagtial, Karimnagar, India. Ever since people have managed to start shifting to electric vehicles, the lack of a cost-efficient battery monitoring system has been a real lack of concern for this mode of transportation. Not everyone wants to start a car after 6 months only to realize later that the battery is dead. Hence knowing the status of the battery on the back of our hand is crucial. This system will provide a steady supply of data about the status of vulnerable lithium-ion car battery which may include parameters such as the state of discharge (SOD) and state of temperature (SOT) to smartphones thereby eliminating this nuisance and also have inbuilt protection to help extend the battery life and avoid unwanted repairs which increases the maintenance costs. Using machine learning concepts like linear regressions and plotting’s. A mathematical equation was developed for the lithium battery and this equation will provide an easy calculation for above discussed parameters and reduce the circuit complexity. 07 30 2019 699 702 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1707.078219 https://www.ijrte.org/portfolio-item/B1707078219/ Research Scholar, Department of Computer Science and Applications, M.D.U, Rohtak, India. Anju Bala Priti Assistant Professor, Department of Computer Science and Applications, M.D.U, Rohtak, India. This paper designs a technique to classify big data efficiently. This work considers the processing of big data as an optimization problem due to the trade-off between accuracy and time and solves this optimization problem by using a meta-heuristic approach. The HAPGD (Hybrid ACO (Ant Colony Optimization), PSO (Particle Swarm Optimization), GA (Genetic Algorithm), and DE (Differential Evolution)) classification algorithm is designed by using the support vector machine (SVM) along with hybrid ACO-PSO-GA-DE algorithm that hybrids exploration capability of ACO with exploitation capability of PSO whose balance is maintained using modified GA. The GA has been modified by using the DE algorithm. The presented technique performs classification efficiently as shown in results on seven datasets using different analysis parameters due to balanced exploration and exploitation search with fast convergence. 07 30 2019 703 708 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijitee.B1708.078219 https://www.ijrte.org/portfolio-item/B1708078219/ College of Information Technology University of Babylon, Babylon, Iraq, Mustafa Kamil Mahdi Huda Naji Almamory College of Information Technology University of Babylon, Babylon, Iraq In recent time, online social networks like, Facebook, Twitter, and other platforms, provide functionality that allows a chunk of information migrates from one user to another over a network. Almost all the actual networks exhibit the concept of community structure. Indeed overlapping communities are very common in a complex network such as online social networks since nodes could belong to multiple communities at once. The huge size of the real-world network, diversity in users profiles and, the uncertainty in their behaviors have made modeling the information diffusion in such networks to become more and more complex and tend to be less accurate. This work pays much attention on how we can accurately predicting information diffusion cascades over social networks taking into account the role played by the overlapping nodes in the diffusion process due to its belonging to more than one community. According to that, the information diffusion is modeled in communities in which these nodes have high membership for reasons that may relate to the applications such as market optimization and rumor spreading. Our experiment made on a real social data, Digg news aggregator network on 15% of overlapped nodes, using our proposed model SFA-ICBDM described in previous work. The experimental results show that the cascade model of the overlapped nodes whether represents seed or node within cascade achieves best prediction accuracy in the community which the node belongs at more. 07 30 2019 709 713 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1710.078219 https://www.ijrte.org/portfolio-item/B1710078219/ Department of Computer Science, IDE,University of Madras, Chennai, India D.Renuka Devi Dr. Sasikala. S Department of Computer Science, IDE,University of Madras, Chennai, India. The optimal feature subset selection over very high dimensional data is a vital issue. Even though the optimal features are selected, the classification of those selected features becomes a key complicated task. In order to handle these problems, a novel, Accelerated Simulated Annealing and Mutation Operator (ASAMO) feature selection algorithm is suggested in this work. For solving the classification problem, the Fuzzy Minimal Consistent Class Subset Coverage (FMCCSC) problem is introduced. In FMCCSC, consistent subset is combined with the K-Nearest Neighbour (KNN) classifier known as FMCCSC-KNN classifier. The two data sets Dorothea and Madelon from UCI machine repository are experimented for optimal feature selection and classification. The experimental results substantiate the efficiency of proposed ASAMO with FMCCSC-KNN classifier compared to Particle Swarm Optimization (PSO) and Accelerated PSO feature selection algorithms. 07 30 2019 910 916 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1712.078219 https://www.ijrte.org/portfolio-item/B1712078219/ Department of Information Technology, CVR College of Engineering, Hyderabad, India. Rakesh Kumar Godi Agriculture is major resource for Indian economy and rainfall prediction plays a vital role for proper agriculture. It is very complex to predict the rainfall and due to globalization, the uncertainty is more to get rainfall at the expected monsoon.The current figuring approach is observed to be extremely powerful in creating models which causes for people to adjust the circumstance. In this paper, rainfall expectation for Karnataka state is done with Artificial Neural Network (ANN). Another techniquecalled Teaching Learning Based advancement [16] (mTLBO) is utilized to prepare the loads of the ANN produced for result expectation. Later examination is carried with established back Propagation learning approach and mTLBO (a variation of traditional TLBO). The outcomes result of ANN-mTLBO over ANN-BP [38] on given datasets. The main aim of our work will be helpful in estimating the drought conditions in Karnataka from the forecasts. 07 30 2019 126 130 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1713.078219 https://www.ijrte.org/portfolio-item/B1713078219/ CSE, Noorul Islam Centre for Higher Education, Nagercoil, India. Ms.Priscilla Joy.R Ms. Dheeba. J CSE, Vellore Institute of Technology, Vellore, India. As focusing on the scheduling schemes, there are many scheduling schemes for multilevel. So the paper is concentrating to compare the scheduling schemes and producing the average waiting time and turnaround time. If it is minimized then the overall performance may shoot up. In this paper comparison is done between three scheduling schemes Enhanced Dynamic Multilevel Packet scheduling (EDMP), Circular Wait Dynamic Multilevel Packet scheduling (CW-DMP) and Starvation-Free Dynamic Multilevel Packet scheduling (SF-DMP). In all the above schemes there are three priority levels say priority level 1(Pr1), priority level 2(Pr2) and priority level 3(Pr3). Pr1 will comprise the real time tasks, Pr2 containing the non real time remote tasks and non real time local tasks are there in Pr3. In each and every scheme, each and every priority level will be using the individual scheduling technique to schedule the tasks. Also the comparison is done based on waiting time and the turnaround time of the task thereby the average waiting time and the average turnaround time are calculated. 07 30 2019 3800 3804 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1714.078219 https://www.ijrte.org/portfolio-item/B1714078219/ Department of Mechatronics Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India Dr. T. A. Selvan Dr. A. Viswanathan SNS College of Technology, Coimbatore, Tamil Nadu, India S. Madhankumar Department of Mechatronics Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India S. Sneha Department of Mechatronics Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India It is necessary to use an efficient chip removal system to increase productivity on the shop floor. Conventional conveyor systems such as belt conveyors are being used in industries. The Belt conveyors used in the computer numerical control (CNC) machining firms, remove the metal chips falling from the machine. A machine shop is operated on a small scale certainly has limitations to adopt these chip removal systems economically and precisely. In order to simplify the process, decided to develop an efficient and economical solution for the chip removal process. The spring type chip conveyor is designed to overcome the problems faced while using a belt conveyor and also to remove the metal chips from the machine in a faster and cheaper rate. 07 30 2019 917 920 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1715.078219 https://www.ijrte.org/portfolio-item/B1715078219/ Koneru Lakshmaiah Education Foundation, Green Fields, Vaddeswaram, Guntur, A P, India. Talluri Sai Kiran A Vasu Deva Reddy Koneru Lakshmaiah Education Foundation, Green Fields, Vaddeswaram, Guntur, A P, India. This paper is aimed at reviewing present state of the art (1998-March 2019) on the impact of Enterprise Resource Planning (ERP) implementation in Small and Medium Enterprises (SMEs). It includes critical success factors and critical failure factors.The technique depends on writing survey for optional information gathering. It characterizes the expressions that are utilized to get explore papers from databases and advanced studies on the ERP implementation in SMEs. It additionally incorporates the consideration and prohibition criteria to improve nature of papers. At that point methodical audit is made on the accessible papers to research the effect of ERP usage in SMEs.Critical factors are identified for success and failure of ERP implementations and actual impact of the same on SMEs (add actual success and failure factors here besides impact). The research found in this paper has limitations in terms of the period of which research papers have been reviewed. An implicit limitation is that it does not consider an empirical study except focusing on the state of the art found in the research area. However, its insights will have potential benefits and the directions for future work helps in further scope of the research. This paper contributes to the research on the impact of ERP implementation on SMEs either positively or negatively. It discovers critical success factors, critical failure factors and impact through secondary data collection method. The insights will help SMEs and stakeholders of SMEs and ERP service providers to know the reasons for failure or success and take necessary course of action. 07 30 2019 1144 1149 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1716.078219 https://www.ijrte.org/portfolio-item/B1716078219/ Professor, Electrical Engineering Department, Institute Teknologi Sepuluh Nopember, Indonesia. Adi Soeprijanto Ontoseno Penangsang Professor, Electrical Engineering Department, Institute Teknologi Sepuluh Nopember, Indonesia. Dimas Fajar Uman Putra Doctor, Electrical Engineering Department, Institute Teknologi Sepuluh Nopember, Indonesia. Rony Seto Wibowo Doctor, Electrical Engineering Department, Institute Teknologi Sepuluh Nopember, Indonesia. Ni Ketut Aryani Doctor, Electrical Engineering Department, Institute Teknologi Sepuluh Nopember, Indonesia. Christian H. Sihotang Students, Electrical Engineering Department, Institute Teknologi Sepuluh Nopember, Indonesia. Shafira Zahra Students, Electrical Engineering Department, Institute Teknologi Sepuluh Nopember, Indonesia. Eunike W. Adinda Students, Electrical Engineering Department, Institute Teknologi Sepuluh Nopember, Indonesia. J. Sebastian Students, Electrical Engineering Department, Institute Teknologi Sepuluh Nopember, Indonesia. M. Verylian Students, Electrical Engineering Department, Institute Teknologi Sepuluh Nopember, Indonesia H.P. Utama Students, Electrical Engineering Department, Institute Teknologi Sepuluh Nopember, Indonesia. Water is very important for all living things. Without adequate and sustainable water, the life we know today will not be on the face of the earth. Not only needed for basic needs of life, but water is also needed to produce various products with modern technology. The issue of clean water is not only limited in number but also in uneven distribution. This makes not all regions have access to the same clean water, especially the outer island island in Indonesia. One of the islands that has a problem with clean water is the island of Marore and Kawalasu, North Sulawesi. The island which is located on the border between Indonesia and the Philippines has always had difficulties with clean water every dry season because there is no clean water source to get clean water residents are forced to buy from docked ships. In this paper is proposed an Eco Water Treatment by using Parabolic Solar Concentrator and Photovoltaic Pump. This method consists of two main parts, namely PV Sea Water Pump and Solar PV-Distillator so that it can be used to meet the needs of residents in Marore and Kawalasu islands. 07 30 2019 921 924 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1717.078219 https://www.ijrte.org/portfolio-item/B1717078219/ Assistant Professor, Department of Computer and Information Science, Annamalai University, India. Aranga Arivarasan Dr. M. Karthikeyan Assistant professor, Department of Computer and Information Science, Annamalai University, India. In the rapid development of www the amount of documents used increases in a rapid speed. This produces huge gigabyte of text document processing. For indexing as well as retrieving the required text document an efficient algorithms produce better performance by achieving good accuracy. The algorithms available in the field of data mining also provide a variety of new innovations regarding data mining. This increases the interest of the researchers to develop many essential models in the field of text data mining. In the proposed model is a two step text document clustering approach by K-Means algorithm. The first step includes Pre_Processing and second step includes clustering process. For Pre-Processing the method performs the tokenization approach. The distinct words are identified and the distinct words frequency of occurrence, TFIDF weights of the occurrences are calculated to form a document feature vector separately. In the clustering phase the feature vector is clustered by performing K-means algorithm by implementing various similarity measures. 07 30 2019 2542 2548 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1718.078219 https://www.ijrte.org/portfolio-item/B1718078219/ Ph.D. Research Scholar & Assistant Professor, Department of Civil Engineering, Bharati Vidyapeeth (Deemed to be University), College of Engineering, Pune, Maharashtra, India. Vipin Chandra Dr. Milind R. Gidde Professor, Department of Civil Engineering, Bharati Vidyapeeth (Deemed to be University), College of Engineering, Pune, Maharashtra, India. In India due to rising in the population, resources like land and water goes on decreasing. So, it is absolutely necessary to conserve these natural resources and exertion of the resources in an effective way. From the administrative point of view, the watersheds act as the basic units for conservation of resources. For detail characterization of landforms and properties, the morphometric analysis of basins is of great help in understanding by interpreting the information available from dimensionless analysis which helps to find out the linear and aerial aspects. Morphometric analysis is the most acceptable method to be considered for reservoir basin. For developing the topographic and geomorphologic conditions, it is necessary to understand various parameters of diverse basins. In this study, a detailed morphometric assessment is done by QGIS for Baltira watershed which covers an area of 273 km2. Baltira is one of the tributaries of Man River. The result of morphometric analysis reveals that watershed of Baltira in which geology is reasonably homogeneous, having high relief and steep ground slope. For this study, ASTER-DEM is utilized for watershed delineation and drainage parameter calculation by the hydrological module of QGIS software. 07 30 2019 387 391 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1720.078219 https://www.ijrte.org/portfolio-item/B1720078219/ Entrepreneurship Department BINUS Bandung School of Creative technology, Bandung, West Java Mulyani Rudy Aryanto Entrepreneurship Department BINUS Bandung School of Creative technology, Bandung, West Java Andreas Chang Entrepreneurship Department BINUS Bandung School of Creative technology, Bandung, West Java This research tests the preferences of generation Z in online shopping, which platforms they use more often and become their choice in shopping online. This study used a direct survey to collect data from 513 respondents with consumers intercepting randomly in several locations Survey questions are compiled from previous research questions and focus group discussions (FGD). the collected data is processed qualitatively uses descriptive analysis to clearly describe the preferences of generation Z. The results showed that generation z preference on online shopping was influenced by high visual-person involvement with images or images, the need for justice, instant thinking, clear information needs in online shopping affecting their choice of social media as a first choice but they also appreciated the market places platform because of its convenience features. Generation Z was chosen in this study because this generation has an important role in determining the standards of online marketing. This research is important for the world of digital marketing where the results of this study are useful to support the planning of effective and efficient digital marketing strategies. Online shopping has become a trend today and can be done more easily through the presence of an online shopping platform. Nevertheless social media is also an alternative in shopping online. Many of consumers use social media platforms to shop online. Both types of platforms, which are preferred and what determines the preferences for shopping online is really important to understand for help business to decide effective and efficient marketing strategies for them. 07 30 2019 925 929 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1721.078219 https://www.ijrte.org/portfolio-item/B1721078219/ School of Computing Science and Engineering, Vellore Institute of Technology, Chennai, India. Aravind J Parvathi R School of Computing Science and Engineering, Vellore Institute of Technology, Chennai, India. Big data is an emerging field plays a valuable role in the extraction of information from raw data. It has found its applications in areas such as predictive analytics, healthcare analytics, financial analytics, and retail analytics and so on. The enormous growth of the Internet has become a source for availability of the huge volume of data online. It is difficult to find out the necessary information from huge data within a short period. The availability of enormous data craves the need of an information filtering system and this information filtering systems are capable of providing the required data to users. The rapid growth of big data lays the path to recommendation systems. A recommendation system is an information filtering tool which has more impacts in day to day life of everyone and also redefines our lives. Recommendation systems provide suggestions based on user preferences, requirements, and interests. The reviews and rating values given by people are used to answer similar interest queries with predictions and suggestions. Reviews and Feedback play a key role in the decision-making process. People share their experiences in the form of feedback, ratings, and reviews and so on. If a user wants to visit a location and if he does not have prior knowledge of it, then he may use reviews and feedback given by others who visited the location already. It is not possible for a user to go through huge volumes of reviews and sometimes it may mislead the user to take wrong decisions if he goes by the review given by a person with a contrasting taste. In such cases, Recommendation systems are needed, which helps users in the decision-making process. In most of the existing methods, they used Point of Interest (POI) of users to recommend the locations. The main objective is to develop a Personalized Location Recommendation System, which will recommend the locations to users using Probability and Proximity. Our model uses Probability and Proximity measures to recommend the locations. 07 30 2019 714 721 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1723.078219 https://www.ijrte.org/portfolio-item/B1723078219/ Research Scholar , Department of Computer Science, VELS Institute of Science, Technology & Advanced Studies (Formerly VELS University), Chennai, India D. Karthika Dr.K. Kalaiselvi Professor& Head, Department of Computer Science, VELS Institute of Science, Technology & Advanced Studies (Formerly VELS University), Chennai, India In the recent work, Incremental Soft Subspace Based Semi-Supervised Ensemble Clustering (IS4EC) framework was proposed which helps in detecting clusters in the dataset. IS4EC framework also increases the results of clustering by reducing the intra-cluster distance and increasing the inter-cluster distance with increased cluster quality. It cannot attain acceptable results while handling high dimensional data. However, decreasing the dimensional subspace becomes extremely difficult issue. In IS4EC framework, to choose the optimal ensemble members also extremely becomes challenging issue. In order to solve these issues of traditional cluster ensemble methods, first propose an Incremental Support vector Semi-Supervised Subspace Clustering Ensemble (ISVS3CE) framework which makes utilized of benefits of the random subspace algorithm and the Constraint Propagation (CP) algorithm. Here the centroid values were selected by using the Support Vector Machine (SVM) classifier. In the ISVS3CE framework, Incremental Ensemble Member Chosen (IEMC) process is performed by using the ENhanced Bat Algorithm (ENBA), and the normalized cut algorithm is introduced to perform high dimensional data clustering. The ISVS3CE framework is successful for solving high dimensional data issue, at the same time as the CP algorithm is valuable for incorporating the prior information. Results demonstrate that the proposed ISVS3CE framework performs well on datasets by means of very high dimensionality, and better than the traditional clustering ensemble methods. 07 30 2019 930 939 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1724.078219 https://www.ijrte.org/portfolio-item/B1724078219/ Department of VLSI Design and Embedded Systems from Visvesvaraya Technological University (VTU)-India Balaji Ramakrishna S. Aswatha A R Department of Science Degree from B.I.T.S. Pilani-India This paper deals with the proposed adaptable threshold keeper&dynamic buffer technique(ATKDB) for CNTFET based wide fan in domino OR logic which simultaneously reduces the average power and propagation delay of the wide fan in logic implementationcompared to various dominogatetopologies.The proposed technique provides adaptable threshold voltage for the keeper transistor by means of a designed body bias generator which drives thebulk of the keeper and there by regulates the power. The design also includes a dynamic buffer at the output node to reduce pre-charge phase power consumption. With this technique, threshold voltage for keeper device is varied dynamically to reduce the contention current and clock loading. The proposed system was tested for 16 and 32 input domino gate using 16nm CNTFET model andthesatisfactoryresults w.r.t power and delay wereobtained. 07 30 2019 1150 1158 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1726.078219 https://www.ijrte.org/portfolio-item/B1726078219/ Associate Professor, Department of Computer Science, Lady Doak College, Madurai, TamilNadu, India. Dr. S. Pitchumani Angayarkanni According to the health statistics of India on Chronic Kidney Disease (CKD) a total of 63538 cases has been registered. Average age of men and women prone to kidney disease lies in the range of 48 to 70 years. CKD is more prevalent among male than among female. India ranks 17th position in CKD during 2015[1]. This paper focus on the predictive analytics architecture to analyse CKD dataset using feature engineering and classification algorithm. The proposed model incorporates techniques to validate the feasibility of the data points used for analysis. The main focus of this research work is to analyze the dataset of chronic kidney failure and perform the classification of CKD and Non CKD cases. The feasibility of the proposed dataset is determined through the Learning curve performance. The features which play a vital role in classification are determined using sequential forward selection algorithm. The training dataset with the selected features is fed into various classifier to determine which classifier plays a vital and accurate role in detection of CKD. The proposed dataset is classified using various Classification algorithms like Linear Regression(LR), Linear Discriminant Analysis(LDA), K-Nearest Neighbour(KNN), Classification and Regression Tree(CART), Naive Bayes(NB), Support Vector Machine(SVM), Random Forest(RF), eXtreme Gradient Boosting(XGBoost) and Ada Boost Regressor (ABR). It was found that for the given CKD dataset with 25 attributes of 11 Numeric and 14 Nominal the following classifier like LR, LDA, CART,NB,RF,XGB and ABR provides an accuracy ranging from 98% to 100% . The proposed architecture validates the dataset against the thumb rule when working with less number of data points used for classification and the classifier is validated against under fit, over fit conditions. The performance of the classifier is evaluated using accuracy and F-Score. The proposed architecture indicates that LR, RF and ABR provides a very high accuracy and F-Score. 07 30 2019 940 947 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1727.078219 https://www.ijrte.org/portfolio-item/B1727078219/ Department of Electronics and Communication Engineering, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, TN, India Dr.S. Shiyamala Ms.Reicelin Rani Department of Electronics and Communication Engineering, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, TN, India Sample adaptive offset (SAO) is a recently presented in-circle separating segment in H.265/High Efficiency Video Coding (HEVC). SAO adds to a striking coding effectiveness enhancement; the estimation of SAO parameters commands the multifaceted nature of in-circle sifting in HEVC encoding. Double clock engineering that procedures statistics collection (SC) and parameter decision (PD), the two principle useful squares of SAO estimation, at high-and low-speed timekeepers, separately. Such a technique decreases the general zone by 56% by tending to the heterogeneous information streams of SC and PD. This exploration work endeavors to ad lib the working clock speed by adjusting a double clock synchronizer VLSI structure of H.265 ultra HD encoder and control minimization. To additionally enhance the territory and power productivity, calculation engineering co-improvements are connected, including a coarse range selection (CRS) and an accumulator bit width reduction (ABR). They together may accomplish another 25% territory decrease. The proposed VLSI configuration is fit for handling 8k at 120-outlines/s encoding. 07 30 2019 719 724 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1728.078219 https://www.ijrte.org/portfolio-item/B1728078219/ Department of Accounting, Analysis and Audit, Odessa National Polytechnic University, Odessa, Ukraine Iryna Bashynska Maryna Baldzhy Department of Economics, Law and Business Management, Odessa National Economic University, Odessa, Ukraine Larysa Ivanchenkova Department of Accounting and Audit, Odessa National Academy of Food Technologies, Odessa, Ukraine Larysa Skliar Department of Accounting and Audit, Odessa National Academy of Food Technologies, Odessa, Ukraine Olena Nikoliuk Department of Management and Logistics, Odessa National Academy of Food Technologies, Odessa, Ukraine Galina Tkachuk Department of Accounting and Audit, Odessa National Academy of Food Technologies, Odessa, Ukraine The world is on the verge of technological revolution, which will fundamentally change the way of life, work and attitude towards each other [1]. We live in the era of the Third Industrial (or Digital) Revolution, but modern world leaders are already actively preparing for a new period - the Fourth Industrial Revolution or Industry 4.0. New forms of interaction open up opportunities in the organization of work and change requirements for employees. Business becomes digital, but the person stays. Employees will continue to remain crucial factors in innovation, continually developing products and services. The lack of talented and skilled personnel will be the main problem of the Fourth Industrial Revolution. Flexible production through FIR will require much more skills in all workflows for all employees. Skilled workers will be more in demand in the future for making decisions that can not be replaced by any algorithm. At the same time, employees must be trained and qualified for new jobs, so it is essential to review standards, for example, in education and training, and adapt them to new requirements. The implementation of interactive technologies in learning has become a necessity. One of the effective methods is business games: both independently and in combination with theoretical training. Precisely this combination (practice) is optimal for students to learn lecture material and acquire competencies. The article is devoted to the description of the technique of conducting risk management training. We described the technology of the training, dividing it into two parts. In the first part, the students are reminded of the risk management theory; in the second part, a business game is held - "Investment portfolio". In the article, we showed how it could be carried out with and without the use of gadgets/computers. As an example, we considered the most frequent mistake when conducting this game and gave a correct model. Besides, in the article, we gave formulas for automating the game of Excel. 07 30 2019 3940 3943 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1729.078219 https://www.ijrte.org/portfolio-item/B1729078219/ Asst. Professor (Senior), English, Department of Social Sciences and Languages, Vellore Institute of technology, Vellore, Tamilnadu Dr. V. Sunitha Dr. Rajesh Arruri Assistant Professor, Department of English Language, Deanship of Preperatory Year and Supporting Studies, Imam Abdul Rahman Bin Faisal University, Dammam, Kingdom of Saudi Arabia. Ms. Nagakala Nanjangud Gopalkrishna. Senior Lecturer, Imam Abdul Rahman Bin Faisal University. Dammam. Kingdom of Saudi Arabia Presentations are one of the proficient skills, which every professional has to acquire. A Presentation is an effectual tool to execute a plan. Presentations are necessary for decision making, to give training or a set of instructions while handling a project, to learn a skill, to select a service or strategy, to report progress and so on. Technical presentation is one of the soft skills that every Engineering professional needs to familiarize and master. Technical presentations elucidate the design and working of a product, technological progression and a solution to tackle a difficulty. Every technologist despite his/her technical skill and expertise also needs to be an effective presenter in order to execute his project and this is the need of the hour. The present paper prepared after substantial research and knowledge gained through experience, focuses on how to cultivate the skill of presentation in an effective manner so that the audience becomes engrossed and enthralled. The paper also sheds light on the techniques of selecting a topic, preparing a paper, modus operandi of opening, conducting and closing a presentation, memory techniques to remember the content, appearance, tact, body language, tone, innovation and methods to collect audience feedback required for effective technical presentation. 07 30 2019 948 952 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1730.078219 https://www.ijrte.org/portfolio-item/B1730078219/ Hernández Martínez Tecnología en electrónica, Universidad Distrital Francisco José de Caldas.Bogotá, Colombia. Henry A. This work shows the development of an application with graphical interface that allows to determine approximately the solution to linear optimization problems. This application is based on the descendant gradient method to solve functions of several variables, in addition to implementing a program that looks for local minimums from the "Karush-Kuhn-Tucker" method, which is a generalization of Lagrange multipliers. In both cases tests were performed with different functions to perform the validation of the operation of each application respectively. 07 30 2019 725 728 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1732.078219 https://www.ijrte.org/portfolio-item/B1732078219/