-4d90550d17f4602e089-5166 20220411081548104 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 06 30 2020 9 8 Research Center, Military Institute of Taras Shevchenko National University of Kyiv, Kyiv, Ukraine. N. Lytvynenko* O. Myasischev Department of Telecommunications and Radio Engineering, Khmelnitsky National University, Khmelnitsky, Ukraine. S. Lienkov Research Center, Military Institute of Taras Shevchenko National University of Kyiv, Kyiv, Ukraine. Yu. Husak Research Center, Institute of the Armed Forces of Ukraine of Kyiv, Kyiv, Ukraine. I. Starynski Research Center, Institute of the Armed Forces of Ukraine of Kyiv, Kyiv, Ukraine. The practical possibility of using the flying wing as an aero video intelligence is being considered. In this regard, an experimental sample was built with a wingspan of 1000 mm and a flight weight of up to 500 g, on that the SPRacingF3 Acro flight controller was installed on the basis of the STM32F303 microcontroller with a GPS receiver and a course video camera for FTP flights. Based on the INAV firmware, the main attention was paid to setting the flight modes NAV RTH, NAV FAILSAFE to ensure the guaranteed return of the wing to its launch zone in case of the radio communication loss with the video camera or control panel. The microOSD board has been configured for the possibility of the overlaying telemetry data on the images, that received on the monitor from the course camera. The setup and testing of the semi-automatic launch of the NAV LAUNCH flying wing was carried out, that greatly facilitated the start of the wing in windy weather and from the small areas. It has been practically shown that the flight time was about 40 minutes at an average speed of 40-45km/h with the 5x3 inch three-blade propeller on the three Sony / Murata US18650VTC5 rechargeable batteries with the capacity of 2600 mah. 06 30 2020 88 93 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6176.069820 https://www.ijitee.org/portfolio-item/H6176069820/ PG Scholar,Department of Electronics Engineering,G H Raisoni College of Engineering,Nagpur Abhishek Agrawal* Dr.Vibha Bora Department of Electronics Engineering, G H Raisoni College of Engineering ,Nagpur Shailesh Bhalerao Department of Electronics Engineering, G H Raisoni College of Engineering ,Nagpur Enterprise Resource Planning system allows the various business departments, differentiated by various places or utilities or services provided, to mobilize vital information which helps them to in an integrated single system. Suppose we consider an ERP unit that enables flawless flow of information among its continuous system of a producing process, like spare parts buyer’s facility, parts storehouse owned by producer, and producing and arranging unit. ERP allows us real time information transfer among various systems so as to maintain that the producing house has the required supply of necessary parts to ensure seamless working because of inadequate supply while also overcoming the problem of oversupply of parts. Artificial Intelligence can be used along with ERP systems. Such AI-enabled ERP systems not only provide benefit to single application only but also put a major impact which is more than the sum of individual parts. The various amounts of benefits of using AI-based ERP system, which basically comes from the majorly three features:Minimize data entryIntelligent data processingIntegrated data analytics 06 30 2020 272 274 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6179.069820 https://www.ijitee.org/portfolio-item/H6179069820/ Computer Science Engineering, SRM Institute of Science and Technology, Chennai, India Dr. N Kannan* SK Lishanth Computer Science Engineering, SRM Institute of Science and Technology, Chennai, India S Sajid Hussain Computer Science Engineering, SRM Institute of Science and Technology, Chennai, India Ashutosh Gauda Computer Science Engineering, SRM Institute of Science and Technology, Chennai, India In this manuscript we are establishing a new, remote backhaul system for small cell systems based on a powerful joint effort of Main Stations (MSs) that we call Fog-Radio Access Network (F-RAN) backhaul technology. By using fog, our proposed technique gives MSs the possibility to organize and methodology the signs obtained in various ways that can effectively extend the transmission limit of the backhaul network. We first model an F-RAN initiated and three backhauling procedures, explicitly Direct, DF, and Cloud-RAN (C-RAN), to be enforced. At this point we evaluate and think about the achievement of these methodologies. Numerical findings show that our proposed technique provides cell borders with the highest throughput to customers in most different territories and retains a comparable display. F-RAN thus performs better for minimized small cell systems with low backhaul channels than any other strategy. 06 30 2020 518 523 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6186.069820 https://www.ijitee.org/portfolio-item/H6186069820/ Candidate of Technical Sciences, Associate Professor, Department of Radioelectronics and Communication Systems, Tomsk State University of Control Systems and Radioelectronics, Tomsk, Russia. Dmitry Dubinin Vadim Denisov Doctor of Technical Sciences, Professor, Department of Radio-technical Systems, Tomsk State University of Control Systems and Radioelectronics, Tomsk, Russia. Alexander Mescheryakov* Candidate of Technical Sciences, Senior Research Scientist, Research Institute of Radio Engineering Systems, Tomsk State University of Control Systems and Radioelectronics, Tomsk, Russia. The aim of the article is to find the upper probability limit of the measurement results to correct disambiguation in case of multi-base phase direction finders, where all bases are ambiguous. Direction finding is done using the maximum likelihood method based on a set of measured phase differences and an algorithm of rejecting (erasing) abnormally large measurement errors. The theoretical background of the article is the maximum likelihood method applied to disambiguate results of the phase measurements in multi-base measuring systems. The physical meaning of the method is that if the disambiguation process is correct, the results of angular measurements for each base are grouped around the true value of bearing. The mathematical background of the article are methods of linear algebra based on the geometric interpretation of disambiguation measurement results. We obtained formulas for calculating upper bounds for the probability correct disambiguation of measurement results, which are applicable to direction finders with linear, planar and conformal antenna arrays. The obtained theoretical relations are exemplified by a numerical calculation of error probability including the upper bounds for a specific three-base direction finder 'bad' measurement results. The calculations proved effectiveness of the proposed algorithm, which depends on the accuracy of phase measurements. The proposed algorithm is applicable not only in case of the direction finders, but also for other multi-base phase measurements. The work may be interesting for designers of direction finders in terms of achievable accuracy of measurement results even if some of the results are rejected. 06 30 2020 94 100 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6194.069820 https://www.ijitee.org/portfolio-item/H6194069820/ M.Phil Student, Department of Computer Applications, Alagappa University, Karaikudi, Tamilnadu, India. K. Subraja* N. Geetha Ph.D Scholar, Department of Computer Applications, Alagappa University, Karaikudi, Tamilnadu, India. Dr.K. Mahesh Professor, Department of Computer Applications, Alagappa University, Karaikudi, Tamilnadu, India. Increased digital information exchange poses a major threat against confidentiality of the information being shared. The information exchange among the parties is said to be efficient only if the transmission process is secure and withstand security breaches. The information shared may be text, image, audio or video. Because of the availability of Internet facility around the world, video became the prime source of information exchange. We all know that anything in the form of visuals will reach the target audience in an efficient manner. They are considered as the major component of the education sector. This paper proposes a novel real time video encryption called BITS. BITS is nothing but Blocking-Inverse-Transposition-Substitution. Initially the video frames are divided into four blocks and the block contents are inverted. Then the entire content of the frame is transpositioned based on the key. And finally the contents of the frame is substituted with different random value. This proposed algorithm is strong against brute-force and statistical attack. The proposed algorithm is suitable for all real time multimedia environments. This algorithm is a compression independent one. The first two phases of the BITS algorithm are implemented using MatLab. The time taken for the computation steps are recorded and analyzed in this paper. 06 30 2020 101 105 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6196.069820 https://www.ijitee.org/portfolio-item/H6196069820/ doctor of technical Sciences, Professor, LLC " Design and technology center of agricultural engineering" , Republic of Uzbekistan Аkhmetov Аdilbek Аgabekovich* Yuldashev Аzamat Ismoilovich applicant, Tashkent Institute of irrigation and agricultural mechanization engineers, Republic of Uzbekistan Fan sprayers such as OVH-600 and VP-1 are of indisputable importance in the fight against agricultural pests and diseases, but they have significant disadvantages associated with uneven application of pesticides due to the oscillating movement of their working bodies. To eliminate this drawback, the Agrikhim joint venture developed a universal fan sprayer VP-1IB, which processes field crops, orchards and vineyards based on controlled airborne droplets with simultaneous continuous girth of the entire implement width within ± 900 of the sprayer symmetry axis (in a total of 1800), i.e. around the perimeter of the treatment area. The main working element of the universal fan sprayer is the spraying tips quality performance indicators, which largely depends on the correct choice of parameters of its parts, including the radius of the input channels to the swirl chamber on the swirl disk, to justify the rational value of which this article is aimed. 06 30 2020 106 111 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6207.069820 https://www.ijitee.org/portfolio-item/H6207069820/ PG Scholar, Department of Electronics Engineering, G H Raisoni College of Engineering, Nagpur, India. Mayur Nikhar* Laxman Thakre Assistant Professor , Department of Electronics Engineering, G H Raisoni College of Engineering, Nagpur, India. In the modern learning of Machine has to be emerged in the gather with large data technology and with respective Large to performance computing to indicate. Classing cluster is a grouping of information and its objects that are identical to one another and different to the information objects in another clusters property are added in new opportunities that things for data science for recommendation in recognized the multi-disciplinary or large descriptive way such many Agri-technologies and domain. This paper comprehensive review marginal shows that research to applications and more than of machines and its application learning in agricultural production systems is forward to conduction. Data mining is a specific field of computer and information science with substantial point of view of knowledge discovery from expansive database or dataset. Resulted formation works carried out forming were categorized top to bottom in form crop indication and result Segregation, including used on yield prediction filed, forming disease Mestagestic, detection crop and weed management and quality, and livestock management, species recognition Devises, along with applications on animal welfare and live detection and stock production soil management and water management. Rest of K-means algorithm for examination of fertility of soil Ratio are objective and Resolve the Continuity amount estimating implementation and algorithm’s high time complexity. In crop method filtering results obtain classification of various crops the presented paper demonstrates forming how farming will improved with the help machine learning methods are used. In the case of resection K-means algorithm is utilize to cluster and Marathwada town soil nutrient information for Six successive year clustering outcomes show that the precision rate raised ratio is year by year The Remote location applying machine such as GIS and GPS learning to sensor information, field management systems are more accurate to developing into real-time AI authorize plans and sentimental values that supports rich suggestion and awareness for farmer choice action and support. The Resultant of this paper are compared and modern the performance of commonly used classical and analytical k-means clustering procedures as well as parallel k-means clustering to realize formation the advantage of the parallelism of algorithm on agricultural data. The present investigation has been taken up to achieve the above-mentioned goal. 06 30 2020 166 170 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6222.069820 https://www.ijitee.org/portfolio-item/H6222069820/ Assistant Professor, Department of Computer Engineering, PCCOE&R. Shweta Koparde* Anuja Bhondve Assistant Professor Department of Computer Engineering, PCCOE&R. Vaishali Latke Assistant Professor, Department of Computer Engineering, PCCOE&R. The recommender system is everywhere, and even streaming platform they have been looking for a maze of user available information handling products and services. Unfortunately, these black box systems do not have sufficient transparency, as they provide littlie description about the their prediction. In contrast, the white box system by its nature can produce a brief description. However, their predictions are less accurate than complex black box models. Recent research has shown that explanations are an important component in bringing powerful big data predictions and machine learning techniques to a mass audience without compromising trust.This paper proposes a new approach using semantic web technology to generate an explanation for the output of a black box recommender system. The developed model is trained to make predictions accompanied by explanations that are automatically extracted from the semantic network. 06 30 2020 275 279 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6232.069820 https://www.ijitee.org/portfolio-item/H6232069820/ Mechnical, VIT,Vellore, India K.S.N Sai Abhishek S. Rahul Guptha* Mechanical, VIT, Vellore, India V.Shashank Srivatsav Mechanical, VIT, Vellore, India, Boopathi M. Mechanical, VIT, Vellore, India Surveillance in remote areas can prove to be a difficult task due to the risk of safety. Therefore, this project is aimed to develop a robot that can be used for both surveillance and infiltration purposes. It is a land-based system where rear and front wheels are used as a form of locomotive control. It is an unmanned vehicle where it is controlled with the help of Bluetooth through either phone or laptop. This robot can also differentiate between friend and foe mainly with the help of image processing. By implementing this robot, one can substitute military personnel on the battlefield which can save many lives. It can also reduce human effort and error during war times. 06 30 2020 171 174 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6241.069820 https://www.ijitee.org/portfolio-item/H6241069820/ Department of Computer Science and Engineering, R V College of Engineering, Bengaluru, India. Bhavana R* Rakshitha S G Departmen of Computer Science and Engineering, RV College of Engineering, Bengaluru, India. Dr. Rajashree Shettar Department of Computer Science and Engineering, R V College of Engineering, Bengaluru, India. Dr. Minal Moharir Department of Computer Science and Engineering, R V College of Engineering, Bengaluru, India Microservice architecture is a variation of the structured form of service-oriented architecture that arranges an application a series of loosely coupled services. This is a self-contained process that takes advantage of specific and unique business capabilities. The Microservice architecture approach provides many advantages in terms of scalability and flexibility. Microservices can be built by either dotnet framework solution (such as asp.net and asp.net web Api) or use solutions based on a core Microsoft dotnet framework (such as asp.net core).This paper presents an overview of Microservice architecture along with its advantages and disadvantages. We have also presented why ASP.NET core can be used instead of ASP.NET to build Microservices. 06 30 2020 175 178 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6247.069820 https://www.ijitee.org/portfolio-item/H6247069820/ Department of Communication Engineering, VIT Vellore, Vellore, India. Ganugula Sri Harshan* Sudheer Rayudu Department of Communication Engineering, VIT Vellore, Vellore, India. Krishnan Anush Bharadwaj Department of Communication Engineering, VIT Vellore, Vellore, India. K. Saravanan Professor, School of Electronics and Engineering, VIT Vellore, Vellore, India. With the advancement in the electronic technology, data identification and security is to be mainly considered as a factor in the security. Biometric recognition has been taken in to consideration for security purpose. Data security has to be done to prevent the system security from transmission of data by unauthorized users. Various authentications are taken in to consideration but most commonly focuses on finger print biometric system. Biometric recognition is taken in priority which is high safe and security oriented. Preprocessing, extraction and Equal Error rate are taken in to consideration. In this we are mainly focusing in finger vein authentication domains over the system implementation. 06 30 2020 112 114 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6254.069820 https://www.ijitee.org/portfolio-item/H6254069820/ Marketing, Trade and Customs Department of the V. I. Vernadsky Crimean Federal University, Simferopol, the Republic of Crimea, Russia. Natalia Kalkova* Olga Yarosh Marketing, Trade and Customs Department of the V. I. Vernadsky Crimean Federal University, Simferopol, the Republic of Crimea, Russia. Ella Mitina Marketing, Trade and Customs Department of the V. I. Vernadsky Crimean Federal University, Simferopol, the Republic of Crimea, Russia. Vyacheslav Khokhlov Marketing, Trade and Customs Department of the V. I. Vernadsky Crimean Federal University, Simferopol, the Republic of Crimea, Russia. Consumer behavior is a complex and multi-step process. It is necessary to study consumer choice with different alternatives and choice parameters, which will allow us to identify behavioral characteristics in different demographic groups. The article deals with theoretical and practical issues of consumer behavior when choosing food. The article uses classical marketing methods and neuromarketing approaches. Based on this comprehensive approach, an assessment of the structure of food consumption was carried out, as well as a pilot study of the characteristics of consumer choice depending on gender characteristics.The study of statistical data showed that the decline in real incomes of the population in Russia affected the structure of food consumption. There is a decrease in the volume of demand for meat, vegetables, and fruits, which is associated with a decrease in the population's ability to pay and an increase in the level of poverty.Gender characteristics in the consumer's preferred and actually purchased products were identified using the neuromarketing research methodology. Thus, it was determined that the speed of decision-making when choosing products is higher for women than for men, since women are more frequent buyers. The high speed of decision-making by women is most likely a result of emotional choice of products. Using visual advertising signals can increase attention to incentives and increase motivation. It was also found that in the absence of external restrictions: the number of products chosen and sufficient financial resources, women consumers are strongly influenced by internal restrictions, but men tend to take risks. Women try to be Thrifty, choosing a standard set of products that make up their diet, men in conditions of unlimited financial resources tend to buy expensive goods without thinking about the costs. The study of consumer choice between those products that were visually noticed and those that were selected as a result of the survey showed that there is a significant asymmetry between what is desired and what is chosen. To assess the level of asymmetry of visual attention, we proposed a method for assessing the asymmetry of consumer preferences, the use of which allows us to assess the gap between the desired and purchased goods. Based on the coefficient of asymmetry of consumer preferences, it is possible to assess the level of consumer imbalance and timely prevent social and economic dissatisfaction in different gender groups. The possibility of changing consumer choice under the influence of various stimulating factors is proved. The results obtained can be used in the practical activities of food retailers and food manufacturers when promoting their products with gender differences in mind. The results also need to be taken into account when developing government strategies for developing the food market and supporting healthy lifestyles and changing consumer culture. 06 30 2020 179 187 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6256.069820 https://www.ijitee.org/portfolio-item/H6256069820/ Computer Science & Engineering, Gayatri Vidya Parishad College of Engineering for Women, Visakhapatnam, India. Kambala Monica Sai* Haritha Chandrika Panuganti Computer Science & Engineering, Gayatri Vidya Parishad College of Engineering for Women, Visakhapatnam, India. Kasim Bebe Computer Science & Engineering, Gayatri Vidya Parishad College of Engineering for Women, Visakhapatnam, India. G. S. Roja Pramila Computer Science & Engineering, Gayatri Vidya Parishad College of Engineering for Women, Visakhapatnam, India. G. Sankara Rao Computer Science & Engineering, Gayatri Vidya Parishad College of Engineering for Women, Visakhapatnam, India. Optical Character Recognition (OCR) is a computer vision technique which recognizes text present in any form of images, such as scanned documents and photos. In recent years, OCR has improved significantly in the precise recognition of text from images. Though there are many existing applications, we plan on exploring the domain of deep learning and build an optical character recognition system using deep learning architectures. In the later stage, this OCR system is developed to form a web application which provides the functionalities. The approach applied to achieve this is to implement a hybrid model containing three components namely, the Convolutional Neural Network component, the Recurrent Neural Network component and the Transcription component which decodes the output from RNN into the corresponding label sequence. The process of solving problems involving text recognition required CNN to extract feature maps from images. These sequence of feature vectors undergo sequence modeling through the RNN component predicting label distributions which are later translated using the Connectionist Temporal Classification technique in the transcription layer. The model implemented acts as the backend of the web application developed using the Flask web framework. The complete application is later containerized into an image using Docker. This helps in easy deployment on the application along with its environment across any system. 06 30 2020 115 120 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6264.069820 https://www.ijitee.org/portfolio-item/H6264069820/ Department of Petroleum Engineering, Academy of Maritime Education and Training (AMET), Chennai, India. Rajesh Kanna* Kalpana S Department of Physics, Academy of Maritime Education and Training (AMET), Chennai, India. Puspha Sharma Department of Petroleum Engineering, UPES, Deharadun, India. Considering the present scenario, in the hydrocarbon industries, heavy oil prices and need for explorations leads to decide the economy of the country. Technology had been identified and experimentally considered for new hydrocarbon exploration with the help of data mining. Besides, transportation and storage of the produced Hydrocarbon has been monitored and can be maintained in control limit using data mining too. Hydrocarbon can be stored within a tank made up of steel, iron or combination of suitable material. The tanks are properly designed, erected and all its fittings are secured. Proper construction and maintained will aid in preventing any leakage of petroleum products to the environment. Current study is about influence of hydrocarbon transportation and storage using available methodology in upstream hydrocarbon sectors. Petroleum reservoir consist of complex heterogeneities that are not limited to extract the hydrocarbon from the subsurface to surface. Post drilling, produced crude and gas will be transported fuel have to transported to refineries for further processing of crude into various products. Apart from upstream, persons working on midstream and downstream plays a crucial role. Crude hydrocarbon can be transported by vessels, pipelines and road. Pipeline and truck transportation are considered to be the prior most than other modes. Transporting oil and gas by pipeline or rail is in general quite safe. But when the safety of transporting oil and gas by pipelines and rail is compared, taking into consideration the amount of product moved, pipe-lines are found to be the much safer transportation method. Refinery has to ensure safety aspects of storing the received petroleum crude which has to be processed in to commercial products. They must be maintained in prescribed temperature and pressure condition. In order to make this successful, some of the safety protocols has to be followed which are defined and approved ministry and safety norms. This article deals about the process and procedures in transporting and storage of fuels from upstream, midstream and downstream. Hence, the protocols and other safety precaution aspects are discussed to have a safe storage and handling practices. 06 30 2020 121 123 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6265.069820 https://www.ijitee.org/portfolio-item/H6265069820/ Researcher, Aerial Photography Section, Aerial Photography & Aviation Dep., National Authority for Remote Sensing & Space Sciences (NARSS), Cairo, Egypt Ashraf M. A. Shrawai Ateaya B. Azeez* Researcher, Ground Surveying Section, Aerial Photography & Aviation Dep., National Authority for Remote Sensing & Space Sciences (NARSS), Cairo, Egypt. The recent progress for spatial resolution of remote sensing imagery led to generate many types of Very High-Resolution (VHR) satellite images, consequently, general speaking, it is possible to prepare accurate base map larger than 1:10,000 scale. One of these VHR satellite image is WorldView-3 sensor that launched in August 2014. The resolution of 0.31m makes WorldView-3 the highest resolution commercial satellite in the world. In the current research, a pan-sharpen image from that type, covering an area at Giza Governorate in Egypt, used to determine the suitable large-scale map that could be produced from that image. To reach this objective, two different sources for acquiring Ground Control Points (GCPs). Firstly, very accurate field measurements using GPS and secondly, Web Map Service (WMS) server (in the current research is Google Earth) which is considered a good alternative when GCPs are not available, are used. Accordingly, three scenarios are tested, using the same set of both 16 Ground Control Points (GCPs) as well as 14 Check Points (CHKs), used for evaluation the accuracy of geometric correction of that type of images. First approach using both GCPs and CHKs coordinates acquired by GPS. Second approach using GCPs coordinates acquired by Google Earth and CHKs acquired by GPS. Third approach using GCPs and CHKs coordinates by Google Earth. Results showed that, first approach gives Root Mean Square Error (RMSE) planimeteric discrepancy for GCPs of 0.45m and RMSE planimeteric discrepancy for CHKs of 0.69m. Second approach gives RMSE for GCPs of 1.10m and RMSE for CHKs of 1.75m. Third approach gives RMSE for GCPs of 1.10m and RMSE for CHKs of 1.40m. Taking map accuracy specification of 0.5mm of map scale, the worst values for CHKs points (1.75m&1,4m) resulted from using Google Earth as a source, gives the possibility of producing 1:5000 large-scale map compared with the best value of (0.69m) (map scale 1:2500). This means, for the given parameters of the current research, large scale maps could be produced using Google Earth, in case of GCPs are not available accurately from the field surveying, which is very useful for many users. 06 30 2020 188 194 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6267.069820 https://www.ijitee.org/portfolio-item/H6267069820/ Researcher, Ground Surveying Section, Aerial Photography & Aviation Dep., National Authority for Remote Sensing & Space Sciences (NARSS), Cairo, Egypt. Ateaya B. Azeez* Ashraf M. A. Shrawai Researcher, Aerial Photography Section, Aerial Photography & Aviation Dep., National Authority for Remote Sensing & Space Sciences (NARSS), Cairo, Egypt. Surface reconstruction of objects using photogrammetry and terrestrial laser scanning systems (TLS) has been a topic for research for many decades, especially for culture heritage data recording. Recently, many advances into these systems are now available in the market, which give the availability of collecting a huge number of geo-referenced 3-D points covering any object surface. Due to speed and efficiency of data acquisition by means of terrestrial laser scanners, researchers and designers can select the reliable technique, depending on their application, that can be complete to give good results for the complex surfaces such as heritage objects. As Grand Egyptian Museum (GEM), located nearby the Giza Pyramids, is set to open by 2020, which considered as the largest museum from its type all over the world, with a huge area covered about a half million m2. GEM is proposed to be a unique museum all over the world for presenting a huge number from old history Egyptian artifacts. Consequently, there is a vital need for building a huge digital database containing complete information for this large number of artifacts. Mobile applications are presently at the primacy of documenting historical and archaeological sites. The current paper examine the methodological framework adopted for one high copy of Pharaonic artifacts, namely Offering Carrier, using hand held laser scanning and convert the results to a mobile application. 06 30 2020 195 200 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6268.069820 https://www.ijitee.org/portfolio-item/H6268069820/ Department of Information Technology, ABES Institute of Technology, Ghaziabad, India. Divyanshu Tyagi* Drishti Sharma Department of Information Technology, ABES Institute of Technology, Ghaziabad, India. Rishabh Singh Department of Information Technology, ABES Institute of Technology, Ghaziabad, India. Dr. Kaushal Kishor Department of Information Technology ABES Institute of Technology, Ghaziabad, India. World has seen many of the accidents occur due to driver’s fatigue and a small scale distraction factor while driving the vehicle. Number of accidents has been increasing day-by-day during driving due to driver drowsiness playing as an implicating factor in many accidents. Goal of this thesis is to reduce these accidents and maintenance of transportation safety. The system are design such that it will precisely scrutiny the eye blink. Dissimilarity covering the eye will differ as per eye blink. If out-turn is high the eye is closed or else out-turn is low. It shows close or open area of the eye. 06 30 2020 280 284 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6273.069820 https://www.ijitee.org/portfolio-item/H6273069820/ Department of Computer Science, Dravidian University, Kuppam, India. D. Mabuni* A new split attribute measure for decision tree node split during decision tree creation is proposed. The new split measure consists of the sum of class counts of distinct values of categorical attributes in the dataset. Larger counts induce larger partitions and smaller trees there by favors to the determination of the best spit attribute. The new split attribute measure is termed as maximum exponential class counts (MECC). Experiment results obtained over several UCI machine learning categorical datasets predominantly indicate that the decision tree models created based on the proposed MECC node split attribute technique provides better classification accuracy results and smaller trees in size than the decision trees created using popular gain ratio, normalized gain ratio and gini-index measures. The experimental results are mainly focused on performing and analyzing the results from the node splitting measures alone. 06 30 2020 124 130 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6274.069820 https://www.ijitee.org/portfolio-item/H6274069820/ Assistant Professor, Department of Electronics and Communication Engineeering, VSMSRKIT, Nipani,(Karanataka), INDIA. Mallikarjun C Sarsamba* Dr. RAJU Yanamshetti Professor, Department of Electronics and Communication Engineering, PDACE, Kalaburgi, (Karnataka), INDIA, This pioneering work suggests a reconfigurable multiband frequency antenna for applications in wireless networking The miniaturization and multi-band function of the mounted antenna is done by inserting a rectangular hole, and the reconfiguration of the frequency is achieved by utilizing two PIN diode switches. The ON and OFF state of the PIN diode determines the surface current distribution of the radiating patch resulting in the multiband resonance and reconfiguration of the proposed device. Application and analysis dependent on parameter of the antenna such as lack of return loss, VSWR, gain, and radiation pattern. The developed antenna is used for the intended application of wireless communication. Simulation is performed using Ansys HFSS. 06 30 2020 316 324 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6275.069820 https://www.ijitee.org/portfolio-item/H6275069820/ B. Tech EEE in SRM Institute of Science and Technology (SRMIST), Kattankulathur, India Ajay Krishna. V.M* Madhusmitha. S B. Tech EEE in SRM Institute of Science and Technology (SRMIST), Kattankulathur, India Nirmal. A B. Tech EEE in SRM Institute of Science and Technology (SRMIST), Kattankulathur, India Dhinesh Kumar. S B. Tech EEE in SRM Institute of Science and Technology (SRMIST), Kattankulathur, India Dr. U. Sowmmiya Assisstant Professor in SRM Institute of Science and Technology (SRMIST), Kattankulathur, India This project ensures a reduced energy loss of the renewable source and efficiency of solar and battery network. Because of the erratic irradiations and temperature, the solar source is called an uncontrollable source. In a microgrid, an energy storage device is attached to the photovoltaic system and uses a bidirectional DC-DC converter to monitor the charging, retention and discharge of batteries based on the load requirement. They are simulated to work under five conditions which has different relationships between each other. When synchronized with the battery bank this device acts controllable. Battery helps in reduction of loss of renewable source of energy. The type of operation is determined by the situation or algorithm. An integrated strategy for handling the energy is given to increase the performance of Photovoltaic systems. The expected system efficiency is measured using MATLAB / simulink for varying loads. 06 30 2020 131 137 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6276.069820 https://www.ijitee.org/portfolio-item/H6276069820/ Mechanical Engineering Department, KLEF (koneru lakshmaiah educational foundation), Vaddeswaram, Guntur, India. , Venkata Reddy. S* V. Sai Rakesh Mechanical Engineering Department, KLEF (koneru lakshmaiah educational foundation), Vaddeswaram, Guntur, India. M. Varun Mechanical Engineering Department, KLEF (koneru lakshmaiah educational foundation), Vaddeswaram, Guntur, India. S. Prakash Mechanical Engineering Department, KLEF (koneru lakshmaiah educational foundation), Vaddeswaram, Guntur, India. D. Naveen Mechanical Engineering Department, KLEF (koneru lakshmaiah educational foundation), Vaddeswaram, Guntur, India. Supply chain management (SCM) is an emerging field that has commanded attention and support from the industrial community. Forecasting activities are widely performed in different categories of supply chains for predicting important supply chain management (SCM) comparis ons such as demand volume in order management, product quality in manufacturing processes, capacity usage in production management, traffic costs in transportation management and so on. Demand forecast taking inventory into consideration is an critical issue in SCM. The demand is forecasted using SIMULATION and compared with various forecasting models. The paper describes an application of discrete event simulation for forecasting the demand for next few periods, where the previous demand pattern show a purely random variation and increasing trend with random variation. The main objective of the study was to determine the demand of the product for future periods based on past data using simulation technique and compare its efficiency with conventional techniques for the SCM environment. By simulation we can forecast the demand either with the same accuracy or with more accuracy by increasing number of iterations. Mean absolute deviation (MAD) is used as measure of accuracy of various techniques. In this paper, this technique is verified by considering a case study which deals with the demand of tyres over past three years(2002,2003,2004) and forecasting the demand in the present year(2005) and successful results are obtained. 06 30 2020 285 289 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6280.069820 https://www.ijitee.org/portfolio-item/H6280069820/ Mechanical Engineering, Sachdeva Institute of Technology, Farah, Mathura, India. Arun Prakash* Devendra Singh Department of Mechanical, Sachdeva Institute of Technology (SIT), Farah, Mathura, India. Dr. Ajay Kumar Sharma Department of Mechanical, Institute of Engineering and Technology (IET), Lucknow, India. The leaf springs are different spring styles used for automotive suspension systems. In addition to the use of energy absorption equipment, the ends of the spring can be pointed in a certain direction as it deflects as a structural function. Not primarily supporting vertical loads but isolating road-induced vibration are the principal feature of leaf spring. The present research aims at studying the safe load of the leaf spring, showing how easily an easy, safe driving speed is achieved. A standard TATA-407 light commercial vehicle leaf spring configuration is chosen. Finite element analysis for safe stresses and pay loads has been done. Conventional materials and alternative materials in spring construction used in the present work have been studied. 06 30 2020 201 206 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6281.069820 https://www.ijitee.org/portfolio-item/H6281069820/ Department of Electronics and Telecommunication Engineering, BMS College of Engineering, Bangalore-560019, India Archana K Dr. K.L. Sudha* Department, Electronics and Communication Engineering, Dayanandsagar College of Engineering, Bangalore, India A cognitive radio (CR) is one of the wireless sensor networks and the use of CR is increasing day by day. It is the process of learning via perception, planning, reasoning and continuously updating and upgrading the academic history of information. The cognitive radio has spectrum sensing (SS) problem in opportunistic spectrum access process. The SS, where the second user has to fill the unused spectrum of a licensed user when primary user (PU) not in use. It may arise interference problem to the user by the transmission of information in WSNs. Thus; this paper providing the comprehensive survey with the brief explanation of cognitive radio along with SS methods to reduce the issues appear in CR. The open research problems are discussed by considering previously existed research papers. 06 30 2020 213 220 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6282.069820 https://www.ijitee.org/portfolio-item/H6282069820/ Assistant Professor, (Research Scholar of ANNA University, Chennai), Department of Electronics and Communication Engineering, Sri Ramakrishna Institute of Technology, Coimbatore, India L. Malathi* Dr. A. Bharathi Professor & Head, Department of Information Technology, Bannari Amman Institute of Technology, Erode, India, Dr.A.N. Jayanthi Associate Professor, Department of Electronics and Communication Engineering, Sri Ramakrishna Institute of Technology, Coimbatore, India, FFT architecture is the common and very efficient design in modern signal processing applications. Though so much of architectures are executed in now-a-days applications, This paper will give different approach of FFT design. In order to reduce the computation time, FFT structure is modified in the arrangement. This analyzed approach somewhat satisfies the low power, high performance and to useful in image, signal and wireless applications. 06 30 2020 325 330 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6283.069820 https://www.ijitee.org/portfolio-item/H6283069820/ Electronics and Communication Engineering, B. V .Raju Institution of Technology, Narsapur, HYD, India. M. C. Chinnaiah M. Akhil Electronics and Communication Engineering, B. V. Raju Institution of Technology, Narsapur, HYD, India M. Aishwarya Electronics and Communication Engineering, B. V. Raju Institution of Technology, Narsapur, HYD, India. J. Manisha Electronics and Communication Engineering, B .V. Raju Institution of Technology, Narsapur, HYD, India. B. Sai Raga Sireesha Electronics and Communication Engineering, B.V.Raju Institution of Technology, Narsapur, HYD, India. Fire mishaps are characterized as a bothersome occasion which radiates warmth, smoke or fire. Fire mishap is a significant type of mishap and can cause countless causalities due to the peril and hazard associated with protecting casualties out of the fire. While firefighting units participate in such circumstances there is a high chance to misfortune the life of fire personnel's. In regular day to day existence, it isn't possible to consistently depend on human watch for identifying and dousing fire at a fire mishap scene. In the event that a mechanized framework is made to watch the edge for fire mishaps, at that point we can have an early admonition framework. This will be compelling in a fire mishap in ventures and neighborhoods where the fire prospects are high. So as to accomplish this, we should think of a thought which can recognize a fire, find it and smother the fire preceding it represents a danger to anything around it. For dangerous circumstances, it is hopeful to send a firefighting robot that could rapidly and proficiently discover the fire and smother it. Compelling observing, fast acknowledgment, and stifling of fire are issues to be managed right away. To lessen the danger of losing life in such circumstances, fire mishap control framework can be utilized. The programmed framework is intended to maintain a strategic distance from further spreading of the fire that could prompt conceivable human causalities or harm to property. 06 30 2020 331 335 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6290.069820 https://www.ijitee.org/portfolio-item/H6290069820/ Computer Science, Birla Institute of Technology & Science Pilani, Hyderabad, India. Camellia Ray* Autism is one of the inborn disease, researchers are presently focusing on. The autistic child faces inflexibility in language, thinking and behavior together with the difficulties in understanding emotional states of others. There are lot of interventions going on to make them understand the feelings of others and vice-versa. Now a day, ASD became one of the quick spreading diseases all over the world. Therefore there is a huge need to provide a time-consuming and easy accessible diagnostic tool to detect autism at an early stage to help the clinicians in providing prior medications. Though there is no proper curability of autism, still easy detection helps to provide better therapy session and supports the autistic child to lead a comfort independent life. The thesis deals with the building up of a model where the parents and relatives of a suspected autistic child can easily detect if they are suffering from autism by providing their answers of some particular questions related to the characteristics of autism. In order to build that model, the data were collected manually from different autism therapy centers in India and those raw data are then classified by using three different classifiers namely Logistic Regression, Support Vector Machine and Random Forest with Python as a programming tool to find out the one with higher accuracy by various analyses after pre-processing. The Random Forest classifier with the highest accuracy is utilized in framing the question based model for the early discovery of autism which can be operated as a primary diagnostic model to assist medical professionals technologically. 06 30 2020 290 298 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6296.069820 https://www.ijitee.org/portfolio-item/H6296069820/ Research Scholar, Department of Computer science, Chikkanna Government Arts College-Tirupur, India. F. Leena vinmalar* Dr. A. Kumar Kombaiya Assistant Professor, Department of Computer Science Chikkanna Government Arts College-Tirupur, India. A microarray gene expression data is an efficient dataset for analyzing expression of thousands of genes and related disease. The more accurate analysis can be obtained by comparing Gene expression of disease tissues with normal tissues which helps to recognize the type of cancer. The processing of microarray datasets such as feature selection, sampling and classification is highly challenged due to its high dimensionality. Many recent researchers used various feature selection techniques for dimensionality reduction. Dragonfly optimization Algorithm (DA) was a feature selection technique used to reduce the dimensionality of lung cancer gene expression dataset. The dragonflies in DA are flying randomly based on the model developed by using the Levy Flight Mechanism (LFM). Because of huge searching steps, LFM has some drawbacks like interruption of arbitrary flights and overflowing of the search area. In fact, DA lacks an internal resemblance that record past potential solutions that can lead to its premature convergence into local optima. So, in this paper an Improved Dragonfly optimization Algorithm (IDA) is introduced which effectively reduces the dimensionality of the lung cancer gene expression dataset. In IDA, Brownian motion method is used to solve the issues of LFM and pbest and gbest idea of Particle Swarm Optimization (PSO) is used to direct the search method for finding potential candidate solutions to further refine the search space for avoiding premature convergence. The wrapper feature selection approach is followed by IDA to select optimal subset of features. The Random Sub space (RS), Artificial Neural Network (ANN) and Sequential Minimal Optimization (SMO) classifiers are utilized for feature selection of IDA and recognize Lung cancer subtypes. The accuracy of the classifier for selected features of Dragon flies in training instances is used as fitness value of Dragon flies in each iteration. Finally, the experimental results prove the effectiveness of the IDA in terms of accuracy, precision, recall and F-measure. 06 30 2020 896 908 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6302.069820 https://www.ijitee.org/portfolio-item/H6302069820/ Assistant Professor, Department of Computer Applications Manav Rachna International Institute of Research and Studies, Faridabad, India. Dr Sachin Sharma* Ravendra Kumar MCA 4 Sem Student, Faculty of Computer Applications, Manav Rachna International Institute of Research and Studies, Faridabad, India. Rahul Sajwan MCA 4 Sem Student, Faculty of Computer Applications, Manav Rachna International Institute of Research and Studies, Faridabad, India. Praveen kumar jha MCA 4 Sem Student, Faculty of Computer Applications, Manav Rachna International Institute of Research and Studies, Faridabad, India. Face Recognition System is popular topic in the biometric world .This system provide Features to detect the person’s face and identify on basis of existing records in database .The aim of this study is to described how to show various facial features of an image. Face Recognition system, based on Biometric AI, uniquely finds out a person by analyzing the person's facial textures and shape. In this paper, our aim is to study various face detect and recognition techniques such as Harr Like Feature Algorithm resulting to retort criminality and public crisis. Also, some facial recognition approaches PCA and LDA have been discussed in the research paper for abstracting the image information. 06 30 2020 221 224 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6307.069820 https://www.ijitee.org/portfolio-item/H6307069820/ Computer Science Engineering Student, Chaitanya Bharathi Institute of Technology, Hyderabad, India. Omar Ahmed* Dr Sangeeta Gupta Associate Professor in Computer Science Engineering Department, Chaitanya Bharathi Institute of Technology, Hyderabad, India. Mohammed Hasibuddin Computer Science Engineering Student, Chaitanya Bharathi Institute of Technology, Hyderabad, India. The detection of truthful information amid data provided by online social media platforms (e.g., Twitter, Facebook, Instagram) is a critical task in the trend of big data. Truth Discovery is nothing but the extraction of true information or facts from unwanted and raw data, which has become a difficult task nowadays in today's day and age due to the rampant spread of rumors and false information. Before posting anything on the social media platform, people do not consider fact-checking and the source authenticity and frantically spread them by re-posting them which has made the detection of truthful claims more difficult than ever. So, this problem needs to be addressed soon since the impact of false information and misunderstanding can be very powerful and misleading. This mission, truth discovery, is targeted at establishing the authenticity of the sources and therefore the truthfulness of the statements that they create without knowing whether it is true or not. We propose a Big Data Truth Discovery Scheme (BDTD) to overcome the major problems. We have three major problems, the main one being "False information spread" where a large number of sources lead to false or fake statements, making it difficult to distinguish true statements, now this problem is solved by our scheme by studying the various behaviors of sources. On Twitter for example rumormongering is common. The second problem is "lack of claims" where most outlets contribute only a tiny small number of claims, giving very few pieces of evidence and making it not sufficient to analyze the trustworthiness of such sources, this problem is addressed by our scheme where it uses an algorithm that evaluates the claim’s truthfulness and historic contributions of the source regarding the claim. Thirdly the scalability challenge, due to the clustered design of their existing truth discovery algorithms, many existing approaches don't apply to Big-scale social media sensing cases so this challenge is managed by our scheme by making use of frameworks HTCondor and Work Queue. This scheme computes both the reliability of the sources and, ultimately, the legitimacy of statements using a novel approach. A distributed structure is also developed for the implementation of the proposed scheme by making use of the Work Queue (platform) in the HTCondor method (maybe distributed). Findings of the test on a real-world dataset indicate that the BDTD system greatly outperforms the existing methods of Discovery of Truth both in terms of performance and efficiency. 06 30 2020 999 1004 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6311.069820 https://www.ijitee.org/portfolio-item/H6311069820/ School of Electronics Engineering, VIT University, Vellore, India. Christina Subiksha W Nandhini A School of Electronics Engineering, VIT University, Vellore, India. Bharath K P School of Electronics Engineering, VIT University, Vellore, India. Mahalti Mohammed Sohail School of Electronics Engineering, VIT University, Vellore, India. Rajesh Kumar M* School of Electronics Engineering, VIT University, Vellore, India. The primary objective of the project is to analyze speech signals by determining the important parameters that affect the voice of an individual which leads to various voice disorders. The analysis is carried out based on the individual’s age and gender with the help of the pattern recognized from each sample and the value of each parameter is compared with the nominal values of the healthy person with respect to their age and gender using the Praat software. The secondary objective is the classification of the voice signal into normal and abnormal voice samples using the machine learning software Konstanz Information Miner (KNIME). 06 30 2020 225 231 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6312.069820 https://www.ijitee.org/portfolio-item/H6312069820/ School of Electronics Engineering, VIT University, Vellore, India. Nandhini A Bharath K P School of Electronics Engineering, VIT University, Vellore, India. Mahalti Mohammed Sohail School of Electronics Engineering, VIT University, Vellore, India. Rajesh Kumar M* School of Electronics Engineering, VIT University, Vellore, India. Speech denoising is the process of removing the noise from the noise corrupted speech. The applications of speech denoising are used in speech enhancement, speech recognition and many more. In this work, a new approach is proposed to de-noise the speech which is corrupted from different noises, Empirical mode decomposition and the Kalman filter (EMD-KF) is used for speech denoising in the proposed work. The clean speech is corrupted by the noise with the different SNR’s, and further Empirical mode decomposition (EMD) is applied to the noise corrupted speech later the obtained resultant speech is passed through the Kalman filter (KF) which gives the denoised speech. The result shows that the mean squared error (MSE) values of EMD-KF are extremely less when compared to other methods like discrete wavelet transform (wavelet families like Daubechies and Symlet), empirical mode decomposition (EMD) and moving average filter followed by empirical mode decomposition (MA-EMD). As an application the proposed algorithm is used in the feature extraction for speech recognition. Mel frequency cepstral coefficient (MFCC) is performed on both the original speech and the denoised speech and found majority of the denoised speech features are similar to the original speech features and few denoised speech features are nearby to the original speech features. 06 30 2020 232 237 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6313.069820 https://www.ijitee.org/portfolio-item/H6313069820/ Electronics and communication engineering, Vellore Institute of Technology, Vellore, India. A Goutham Sai Mahesh* S Nivash Electronics and communication Engineering, Vellore Institute of Technology, Vellore, India. S Revathi Ph.D. in Optical Communication, Vellore Institute of Technology, Vellore, India. An analysis on Spectrally Efficient Frequency Division Multiplexing (SEFDM) is contrast with Orthogonal Frequency Division Multiplexing (OFDM) considering the impact on Peak to Average Power Ratio (PAPR) and nonlinearities within fibre. With respect to OFDM the sub-carriers in SEFDM signals are compressed adjacent to each other at a rate of frequency lesser than the symbol rate. At the receiver end we have utilized the Sphere Decoder which is used to recover the data to remunerate the Interference created by the compressed signals (ICI) faced in the system. This research shows the advantages by using SEFDM and evaluates its achievement. PAPR. when compared with OFDM, while effects of non-linear fibres are considered. The use of various formats of modulation going from 4-QAM to 32-QAM, shows that the SEFDM signals have a noteworthy increment in the transmission length with respect to ordinary signals. 06 30 2020 238 244 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6319.069820 https://www.ijitee.org/portfolio-item/H6319069820/ Department of Computer Science and Engineering, SOA University, Bhubaneswar, India. Sampa Chau Pattnaik* Mitrabinda Ray Associate Professor, Department of Computer Science and Engineering, SOA University, Bhubaneswar, India. The rapid growth of the software products tends to increase the software application complexity. The complexity affects the software quality which is achieved by means of software reliability. It is desirable to perform reliability analysis at the early phase of Software Development Life Cycle. The paper conducts a thorough analysis on Bayesian model and Markov model which are common for both reliability prediction and estimation. We evaluate the state based model and path based model for reliability assessment and results obtained in both are same. 06 30 2020 855 869 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6329.069820 https://www.ijitee.org/portfolio-item/H6329069820/ Department of Computer Science, The University of Liverpool, Liverpool, Liverpool, UK. Alarqam Saeed Batarfi Alkendi Habib Khan* School of Information Systems and Technology, College of Management and Technology, Walden University, USA. Paper In the wake of a big shift of the world from the manual patient data management system to the automated process, many technologies have emerged. Needless to say that EMR is one epitome of such technological evolutions in the healthcare field. Though many hospitals as well as healthcare entities have acknowledged this and marching their services towards this change, some laggards persist. The present research tried to re-emphasize the significance of EMR by bringing the effect of EMR system on the group of stakeholders like patients, physicians and businesses from the response of hospital staff. The data, thus collected by sharing the google questionnaire to the staff of both type of branches has fetched 325 responses from the non-EMR implemented hospitals and 308 responses from the EMR implemented hospitals. It is obtained from the results that all the workflows are vital for the process of EMR implementation and are inter-dependent. 06 30 2020 245 254 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6330.069820 https://www.ijitee.org/portfolio-item/H6330069820/ West Bengal National University of Juridical Sciences, Kolkata, India Prof. Dr.Nirmal Kanti Chakrabarti Dr.Arpita Mitra* School of Law, Kalinga Institute of Industrial Technology, Bhubaneswar, India The present advantage of progress in terms of materials and their application is very much discernible in nanotechnology products. By using nanotechnology products there can be instances in which people will suffer harm and sometime death too. Some of these harm may be accidental and manufacturers may have no clue of it. However, in some cases it may happen that the producer or manufacturer knowingly release the products for economic benefits and undertook associated risks.In theoretical perspective strict liability focus more on the no fault theory rather than conduct or behavior of the manufacturers or the learned intermediaries. Thus, a manufacturer of nanotechnology product will be liable for distributing defective products directly to consumers or through retailers or distributors. At the same time the plaintiff must prove that the defect in question was the actual and proximate cause of injury and it incurred damages. In this paper an attempt has been made to examine critically the risks and civil liability, especially strict liability under Tort law of nanotechnology products. 06 30 2020 673 676 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6342.069820 https://www.ijitee.org/portfolio-item/H6342069820/ Department of Electronics Engineering, Vellore Institute of Technology, Vellore, India. Rishabh Chakraborty* Rohit Agarwal Department of Electronics Engineering, Vellore Institute of Technology, Vellore, India. Srishti Mallick Department of Electronics Engineering, Vellore Insti-tute of Technology, Vellore, India. Saravanan K Professor, Department of Electronics Engineering, Vellore Institute of Technology, Vellore, India. D2D communication is going to be the upcoming technology which is going to change the era of wireless networks due to its flexibility. Due to the limited availability of Spectral resources, the co-channel interference is increasing. Co- channel interference occurs when number of User Equipment (UEs) share the same frequency block or commonly known as Resource Block (RB). Many researchers have ideated different Resource Allocation (RA) algorithms using modern optimisation methods like Fuzzy Logic, Game theory, Graph colouring and clustering. RA helps to provide proper channel to UEs and thus ensures proper utilisation of spectrum which is limited. With proper RA, the overall interferences can be mitigated easily and therefore it enhances the parameters such as QoS (Quality of Service), SNR, Throughput, power consumption, etc which are used to check the quality of the wireless network. In this paper review of these various RA methods, literature and deep analysis for clustering algorithm is carried out for different values of RBs and comparison Data Rates for various values of Bandwidth. A modified Spectral clustering method is propounded which will handle the number of clusters formation on the basis of requirements. The proposed RA technique is going to deal with the interferences step by step using modified Greedy algorithm and minimise the interference value until it can’t be further minimised. Data Rate is calculated using Shannon’s Theorem from the SINR values obtained. 06 30 2020 299 304 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6344.069820 https://www.ijitee.org/portfolio-item/H6344069820/ Assistant Professor, Department of Electrical & Electronics Engineering, Chaitanya Bharathi Institute of Technology(Affiliated to Osmania University), Gandipet(CB Post), Hyderabad, Telangana, India. Mr. Devireddy Sathish* Mr. Gajangi Arun Kumar Assistant Professor, Department of Electrical & Electronics Engineering, Mahatma Gandhi Institute of Technology(Affiliated to Jawaharlal Nehru Technological University), Hyderabad,Telangana,India Mr. Chowdary Vinay Kumar Assistant Professor, Department of Electrical & Electronics Engineering, Mahatma Gandhi Institute of Technology(Affiliated to Jawaharlal Nehru Technological University), Hyderabad,Telangana, India. Now a days, the usage of non-linear loads are increased rapidly which increased the power quality (PQ) problems in electric power system like voltage sag and swell, harmonics, etc., in the mentioned problems, one of the major significant PQ problem is the harmonics. This paper proposes the power quality improvement by using Shunt Active Power Filter (SAPF) in AC Electric supply System feeding 3-phase balanced non-linear load. For reduction of harmonics in the system, the Instantaneous Symmetrical Component Theory (ISCT) based controller along with the other controllers named PI controller and Hysteresis current controller are which helps in the micro-grid system. In this, hysteresis current control compares the difference of compensating current, load current with filter current of DSTATCOM. In the proposed method, DSTATCOM has shown good performance in the system to eliminate harmonic component. The system performance is simulated in the MATLAB environment and it is evaluated by calculating the source current Total Harmonic Distortion(THD). 06 30 2020 524 528 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6346.069820 https://www.ijitee.org/portfolio-item/H6346069820/ EEE department, Lakireddy Bali Reddy college of Engineering (A), Mylavaram, Andhra Pradesh, India. Suneetha Kuna* K Nandini EEE department, Lakireddy Bali Reddy college of Engineering (A), Mylavaram, Andhra Pradesh, India. N V Narendra Reddy EEE department, Lakireddy Bali Reddy college of Engineering (A), Mylavaram, Andhra Pradesh, India. Dr. Kadapa Harinadha Reddy EEE department, Lakireddy Bali Reddy college of Engineering (A), Mylavaram, Andhra Pradesh, India. Inverter power supply sources (DERs) are characterized by low current loss and zero negative and null series currents. Comprehension of the fault features of DER is important for fault analysis and safe relay setup. While DER modelling work has been abundant, there have been few research studies in DER fault behaviours. This paper looks at past Dominion Energy fault events. Fault scale, angle, and sequence components are evaluated to illustrate the possible difference between real DER response and previous understandings. 06 30 2020 305 310 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6350.069820 https://www.ijitee.org/portfolio-item/H6350069820/ Department of Computer Systems, Tashkent University of Information Technologies named after Muhammad al-Khworezmi, Tashkent, Uzbekistan. Jamoljon Х. Djumanov* Нakimjon N. Zaynidinov Department of Information Technology, Tashkent University of Information Technologies named after Muhammad al-Khworezmi, Tashkent, Uzbekistan. Eshmurodov Dilshod Elmurodovich Associate Professor of the Department of Computer Systems of the Tashkent University of Information Technologies named after Muhammad al-Khworezmi. Хojiakbar S. Egamberdiev Department of Computer Systems, Tashkent University of Information Technologies named after Muhammad al-Khworezmi, Tashkent, Uzbekistan. In this study, we consider mathematical modeling of the dynamic state of groundwater aquifers, i.e., the process of groundwater formation in dry years under intensive (forced) groundwater intake withdrawal, i.e. operational selection exceeds the value of groundwater resources and depletion of capacitive reserves occurs) on the example of the Kitabo-Shakhrisabz groundwater deposits, of the Kashkadarya area of the Republic of Uzbekistan, which has a long period of regime observations and comparatively correct information on the groundwater level regime, groundwater intake withdrawal and interconnections within surface runoff. The data of hydrogeological area obtained as a result of analysis and schematization of hydrogeological conditions are generalized, and the hydrogeological parameters of the aquifer are calculated. The hydrogeological factors of groundwater formation are given and evaluated taking into account changes in water intake conditions, their current state is highlighted, and recommendations are given for substantiating the tasks of groundwater automations of monitoring in these territories.. 06 30 2020 402 408 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6351.069820 https://www.ijitee.org/portfolio-item/H6351069820/ Department of Electrical Engineering, Sandip Institute of Engineering and Management, Nashik, India. Hemant R Kulkarni* Dr. Vasudeo B Virulkar Department of Electrical Engineering, Government college of Engineering, Amravati, India. Need of green energy can be catered with the support of major share of wind power generation systems in the global energy scenario. Power quality of generated wind power depends on several factors. Wind velocity is one of the major factors producing fluctuations in the generated output voltage. These fluctuations cause visible disturbance to human eyes, known as voltage flicker. The wind farms affect performance of Grid due to variations in wind speed with respect to time. The paper explains measurement of flicker, flicker level severity index along with flicker mitigation technique. Flicker is observed in the power generated with help of Permanent Magnet Synchronous Generator (PMSG), where wind velocity is changing continuously. After employing converter control strategy, reduction in flicker level severity index is observed. The system is simulated using PSCAD/EMTDC, a powerful simulation software. Result shows that Grid side converter control helps to mitigate flicker effect. 06 30 2020 557 560 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6352.069820 https://www.ijitee.org/portfolio-item/H6352069820/ currently pursuing Master’s degree program in structural engineering in MIT World Peace University, Pune-India, Sameer S. Patil* Prof. Darshan G. Gaidhankar currently associate professor in school of civil engineering, MIT World Peace University, Pune-India Prof.Dr.Mrudula S. Kulkarni currently professor in school of civil engineering, MIT World Peace University, Pune-India. Ferrocement is largely used material in today’s modern structural engineering technology. In this case study the main aim is to study flexural behavior of ferrocement by replacing cement content by 5%. In this study, 40 cubes were tested to get desirable compression strength results and engineering properties input data. Various test specimens in the form of ferrocement plate of sizes (400x200x15) mm, (500x200x20) mm, (600x200x25) mm, (800x200x30) mm and tested analytically with three-point loading with linearly varying load. Equivalent stress and deflection are the main parameters of this study. From the results, it can be concluded that 5%replacement of marble powder and increasing number of layers has proven to be good at increasing strength and reducing deflections. 06 30 2020 255 260 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6397.069820 https://www.ijitee.org/portfolio-item/H6397069820/ Electrical & Electronics department, GL Bajaj Institute of Technology & Management, Gr. Noida, India. Pawan Kumar Verma* Shreya Vishal Electrical & Electronics department, GL Bajaj Institute of Technology & Management, Gr. Noida, India Prabhat Kumar Electrical & Electronics department, GL Bajaj Institute of Technology & Management, Gr. Noida, India Abhishek Sinha Electrical & Electronics department, GL Bajaj Institute of Technology & Management, Gr. Noida, India Rajat Mehrotra Electrical & Electronics department, GL Bajaj Institute of Technology & Management, Gr. Noida, India These days, health monitoring gadgets are assuming an essential role in health services. Such frameworks are considered as the most significant developments because of its creativity and innovation. A compact gadget is used to record imperative parameters of the human body like its temperature, Heart pulsates, and beat rate, and so forth by utilizing embedded innovation. Typically, it is very hard to make sense of the irregularities occurring in the human body. Much of the time an individual surrenders because of off base or an erroneous forecast of infection. Henceforth to follow the inconsistencies occurring in the human body there should be a framework that can screen the progressions occurring in the human body most unequivocally and precisely. In this paper, a novel machine to machine based health monitoring device using IoT technology in health care services is proposed which regularly monitors the health parameters of the patient through an electronic wearable device giving results that are well precise when compared with the standard medical equipment measurements. These data can be assessed over the Internet for precise treatments. 06 30 2020 357 363 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6401.069820 https://www.ijitee.org/portfolio-item/H6401069820/ Department of Electronics & Communication Engineering, RV College of Engineering, Bengaluru. Karnataka, India. Pratibha Kantanavar* Ad hoc network paved way to various researches and application due to its wide acceptance over wired network. The advance has also led to various drawbacks or problems that can result in unauthorized usage of data or in data loss. So secured data transfer has become an important requirement in any Ad hoc network. Various issues exist in Ad hoc network while data transmission and hence it has become a major requirement to develop an efficient routing protocol that can transmit the data securely over the network. So, this paper provides a solution, intend to develop an approach for making the data transmission more secured and feasible. This paper incorporates double encryption scheme to secure the data where we use Hybrid DNA based cryptosystem and blow fish algorithm for authentication of users. Also, we design an efficient optimal routing protocol that makes the transmission secured by reducing various attacks that occur in the network. It provides the security for image transmission over internet effectively. This technique also can be extended in multimedia security over the internet. The network parameters will be approximately judged in order to demonstrate the performance of the scheme we develop. 06 30 2020 409 411 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6404.069820 https://www.ijitee.org/portfolio-item/H6404069820/ School of Electronics Engineering, Vellore Institute of Technology, Vellore, India. K Sai Vamsi P. Pardha Sarathi School of Electronics Engineering, Vellore Institute of Technology, Vellore, India. Visalakshi Annepu School of Electronics Engineering, Vellore Institute of Technology, Vellore, India. Ravi Kumar C. V. School of Electronics Engineering, Vellore Institute of Technology, Vellore, India. Kalapraveen Bagadi* School of Electronics Engineering, Vellore Institute of Technology, Vellore, India. This paper is about maintaining the surveillance of the wild animals to protect tribal and vice versa. As we know, tribal people who live in the forest areas have threat from the wild animals. So we have proposed an idea in such a way that it helps in protecting the tribal people. The idea says that firstly the wild animals are caught or brought together and a device is attached to them. With the device, we can track them in the forest or in the surrounding area with the help of GPS concept. Once a device or the animal which has the device gets tracked, the information or the data such as the proximity distance is immediately sent to the web application designed for this project. Further it alarms the villagers or the tribal people and informs to the forest officers, so that they can be taken under control. There is also a camera incorporated in the device. This will constantly capture the video surveillance from the animal’s point of view. If there occurs any instance of hunting (human detection) of endangered animals or any wildlife, the images of the people who get captured in the video feed are sent to the web application along with the location of the device at that particular instant of time. Human detection will be done using Haar cascade. This will help us in locating the exact area of occurrence of hunting and take extra precautions for the animals in such areas. 06 30 2020 261 266 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6406.069820 https://www.ijitee.org/portfolio-item/H6406069820/ Assistant Professor, Department of Computer Applications Jagannath International Management School, Vasant Kunj, India. Mr. Pramod Kumar Pandey* Ms. Sakshi Chhabra Assistant Professor, Department of Computer Applications Jagannath International Management School, Vasant Kunj, India. Dr. Ashok Sharma Associate Professor, Department of Computer Applications, Jagannath International Management School, Vasant Kun, India. The Commercial cloud computing is appropriate conventional and funding agencies beyond prototyping, and initiated fund Production exercise. An important feature of any technical computing Program is moving production data, inward and outward. By means of the virtual machine performance and cost relatively glowing assumed, Network performance and cost is not. This article provides an authentication in the regions of Amazon Web Services, Microsoft Azure network and between Google clouds platforms, cloud both resources and major DTNs In research platform in the Pacific, including the Federation of OSG data cache Network backbone, cloud inside their own. This article contains both qualitative results of the analysis, as well as latency and throughput measuring. It also includes analysis of the cost of contribution Cloud Based on the network. 06 30 2020 336 339 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6416.069820 https://www.ijitee.org/portfolio-item/H6416069820/ Department of Computer Science, Dravidian University, Kuppam, India. D. Mabuni* In data mining ample techniques use distance based measures for data clustering. Improving clustering performance is the fundamental goal in cluster domain related tasks. Many techniques are available for clustering numerical data as well as categorical data. Clustering is an unsupervised learning technique and objects are grouped or clustered based on similarity among the objects. A new cluster similarity finding measure, which is cosine like cluster similarity measure (CLCSM), is proposed in this paper. The proposed cluster similarity measure is used for data classification. Extensive experiments are conducted by taking UCI machine learning datasets. The experimental results have shown that the proposed cosinelike cluster similarity measure is superior to many of the existing cluster similarity measures for data classification. 06 30 2020 340 346 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6417.069820 https://www.ijitee.org/portfolio-item/H6417069820/ EEE department, Lakireddy Bali Reddy college of Engineering (A), Mylavaram, Andhra Pradesh, India. B Yaswanth Kumar* A Sai Swaroop EEE department, Lakireddy Bali Reddy college of Engineering (A), Mylavaram, Andhra Pradesh, India. K Sai Charan EEE department, Lakireddy Bali Reddy college of Engineering (A), Mylavaram, Andhra Pradesh, India. G. Tabitha EEE department, Lakireddy Bali Reddy college of Engineering (A), Mylavaram, Andhra Pradesh, India. This paper proposes a wind generation system by tracking the maximum wind direction by using air sensors. This wind generation system equipped with the Permanent Magnet Synchronous Generator (PMSG) connected to the Grid. Diode Rectifier, Boost converter, Neutral Point Clamped inverter (NPC) are used as a interfacing devices between PMSG and Grid. This method has plentiful features like low and medium power wind generation applications. It is also very less in cost and high efficient due to tracking the maximum wind direction and rotating itself into that direction. 06 30 2020 364 368 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6422.069820 https://www.ijitee.org/portfolio-item/H6422069820/ Student, Department of Computer Science and Engineering, Presidency University, Bangalore, India. Ms. Deepa Sarker* Ms. Ankitha A.K. Student, Department of Computer Science and Engineering, Presidency University, Bangalore, India. Mr. C. H. Prudhvi Raj Student, Department of Computer Science and Engineering, Presidency University, Bangalore, India. Mr. D. Siva Naga Sheshi Reddy Student, Department of Computer Science and Engineering, Presidency University, Bangalore, India. Mr. Gowtham Assistant Professor, Department of Computer Science and Engineering, Presidency University, Bangalore, India. The intent of this thesis was to develop an application that would make booking easier for outstation commutes with guaranteed security. Secure Outstation cab service is an automated prototype which depicts the actual working of an organization that deals with the transport domain. It is a web based platform that allows customers to book their cabs from their comfort of their own home or office. The proposed Secure Outstation Cab Service ensures that the customers can book the cab as per their requirements by logging on to the website. The main aim of Secure Outstation Cab Service is that the users are provided with security, unlike the other cab service systems. On the other hand, we have also developed a mobile based application which is mainly meant for support system that is whenever a ticket is raised, the support staff would handle the queries related to booking, commute, food availability, company, etc. by the users. The prototype which we have developed clearly shows how the software acts as a SaaS model in delivering business models with the customers. The paper focuses on the objective of the application, its problem statement, our analysis on the research work done, proposed work and methodology followed by the workflow, conclusions and future work. 06 30 2020 440 444 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6424.069820 https://www.ijitee.org/portfolio-item/H6424069820/ Assistant professor, Electronics and Communication department, Easwari Engineering College, Chennai Mrs. K. Abirami* S. Lavanya B.E-Electronics and Communication Engineering, Easwari Engineering College, Chennai M. Rashmi B.E-Electronics and Communication Engineering, Easwari Engineering College, Chennai V. Roshan B.E-Electronics and Communication Engineering, Easwari Engineering College, Chennai To design and develop an automated surveillance system to detect and intimate the presence of animals, monitoring the health parameters of the trekkers and to detect fire in the dense forest. Using sensors and wireless technology that communicate to the base station using wireless communication. In this project the image processing technique is explored for the detection of animals so that any change in pattern then the trekkers and base station are alerted. For the communication process, a wireless underground sensor network is employed which has a lot of interlinked nodes. This is because internet usage is not effective in the dense and reserved forest area. Node to node communication is performed for efficient information sharing with the base station and the communication process for trekkers is carried on with wireless sensor networks thus provides warning information to the trekkers. Animal detection based applications have a very important role in many real-life situations and also detection of forest fire in dense forest is hard and fast-spreading. Therefore there must be automation and faster means of communication. 06 30 2020 412 416 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5797.069820 https://www.ijitee.org/portfolio-item/G5797059720/ Product Engineering Services, Wipro Technologies, Hyderabad, India M.V.S Phani Narasimham* Dr. Y.V.S Sai Pragathi Stanley College of Engineering & Tech for women, Hyderabad, India Real time reservoir simulation is growing demand while drilling to find new energy resources. Especially during drilling when the test data differs from actual data due to fault injections. This paper proposes a methodology using modified ANN scheduler using task characteristics and optimal cloud containers. Our methodology optimizes cost and end to end delay to achieve real time reservoir simulations. Realization of the paper is done using azure cloud resources and open porous media (OPM) reservoir simulator code. ANN based scheduling of cloud containers make the simulator energy efficient and scalable. Methodology uses microservice based architecture which gives the advantage of real time modifications, pluggability with minimum validation costs. Patent is demonstrated on 3-phase black oil well reservoirs - Input pod, Grid pod, Solver pods, Upscale pods, Output pods, 3D PODs. ANN scheduler with Ant Colony Optimization (ACO) will classify the input tasks based on task characteristics and schedule the POD containers on the optimal virtual machines (VMs). Proposed architecture is realized using Kubernetes docker containers on Microsoft azure linux VMs. 06 30 2020 267 271 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6428.069820 https://www.ijitee.org/portfolio-item/H6428069820/ Associate Professor, Department of ECE, Mepco Schlenk Engineering College, Sivakasi. Dr. W. Sylvia Lilly Jebarani* Santhosh G J Department of ECE, Mepco Schlenk Engineering College, Sivakasi. Krishnan B Department of ECE, Mepco Schlenk Engineering College, Sivakasi. Energy conservation has become a vital responsibility for every citizen. Considering classroom environment, electric appliances like fans and lights are usually unmonitored while students leave. It leads to the wastage of electricity. To save electricity, conventionally, sensors can be deployed to detect the presence / absence of person in the classroom and control electric appliances based on its trigger. Since (low-cost) sensors have reliability issues with shorter life span, it can't be used effectively. On the other hand, if costly (high precision and reliability) sensors were used to detect persons, deploying it in each and every classroom is not practicable due to very high initial investment. Here, this paper's approach is to use a medium quality, low cost night vision web-camera to detect persons inside classroom using YOLOv3 Object detection model built on top on TensorFlow framework. Computational capabilities for processing webcam footage is provided by PCs inside each and every classroom. (Assumption: Each and every classroom has a dedicated PC for sharing power-point slides) Switch board is configured with relays, which are connected in parallel to normal switches to allow manual intervention. Relays are controlled by Wi-Fi enabled micro-controllers like NodeMCU. Communication is made possible between NodeMCU and PC via LAN. By this means, a huge amount of electricity can be saved with least deployment cost. 06 30 2020 29 33 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6435.069820 https://www.ijitee.org/portfolio-item/H6435069820/ Computer Science & Engineering, Feni University, Feni-3900, Bangladesh Bahar Uddin Mahmud* Shib Shankar Bose Computer Science & Engineering, NIT-Silchar, Silchar, India. Md. Mujibur Rahman Majumder Computer Science & Engineering, Feni University, Feni-3900, Bangladesh Dr. Mohammad Shamsul Arefin Computer Science & Engineering, Chittagong, Bangladesh Afsana Sharmin Computer Science & Engineering, Chittagong University of Science & Technology, Chittagong, Bangladesh. E-commerce is one of the popular systems for buying and selling the products. In comment section of products that they have purchased, customer express their opinion based on the quality of product, the attitude of vendor, the delivery of product etc. This information acts as a reference for the new customers, whether they have bought the product or not. To evaluate the users’ comments, sentiment analysis is played important roles where this approach not only focuses on the product itself but also the features of product itself. In this work, We have calculated the score /rating of user’s sentiment for Amazon products i.e. Mobile phone; by taking the comments from the review section of product which is implied by some words or phrases, are very significant and meaningful to express users’ opinion. This approach performs sentiment analysis using lexicon based approach with the help of Natural Language Toolkit (NLTK) and compare the result with the Amazon’s own product rating. The experimental results prove the effectiveness of the approach. 06 30 2020 369 373 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6437.069820 https://www.ijitee.org/portfolio-item/H6437069820/ Head of the Department, Department of Computer Applications, JSS Academy of Technical Education, Noida, India. Mr. Vikas Singhal* Mr. Yash Kumar Shukla Department of Computer Applications, JSS Academy of Technical Education, Noida, India. Dr. Navin Prakash Department of Computer Applications, JSS Academy of Technical Education, Noida, India. The proposed paper, works upon the idea of securing the classified information. This is achieved by using steganography which is an approach to hide classified information into some other file while maintaining its visual aids and secondly is cryptography which works upon textual data and transform it in a way that no one can comprehend it. The proposed method secures the weaker section which is the key in Advance Encryption Standard using hashing technique. The proposed work enhances the level of concealment of information from unauthorized access and for covert information exchange by encrypting the data and hiding it into a multimedia file known as image. The Secure Hash Algorithm 256 generates a hash key of 256 bits which is an unbreakable hashing technique after that the key is used in the process of encrypting the text with Advance Encryption Standard 256 which is an unbreakable encryption technique till this time and a cipher text is obtained. The cipher text is embedded into a target image using Least Significant Bit method which make changes in image that cannot be understand by naked eyes. The change in byte is 0.000002%. It ensures the visual quality of an image remains intact. The distortion or change in the image remains intermittent to human eyes. The major issue concerned for the government and security agencies such as were to exchange highly classified information in a secure and undetectable manner and abide the notion of hacker to comprehend any such information. 06 30 2020 641 648 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6442.069820 https://www.ijitee.org/portfolio-item/H6442069820/ Department of Information Technology. MIT College of Engineering, Kothrud, Pune, India. Anusha Kailas Kogta* Presently practically all Canteen across different colleges follow an extremely essential paper based or token-based framework to take orders from their staff/students. To make the framework increasingly productive and blunder free Canteen Automation System with cross stage application is proposed. The proposed application can be utilized by staff/students to put orders from anyplace independent of the stage on their gadgets. It empowers the clients to enlist on the web, see and select food things from the accessible menu and request food by simply choosing the food that the client needs to have utilizing the application in simple manner. The backend database will be refreshed subsequent to choosing the ideal food item from the menu card and it will be shown straightforwardly on the dashboard screen. The user will have a username and a secret key, by utilizing which he/she can sign in to the framework. Installments for the requests put should be possible online through the application. When the food is prepared the users will get a warning about the equivalent. The novel application decreases time utilization, administrative work, and human blunders as it is completely automatize. The online food requesting application sets up a food menu on the web and clients can undoubtedly put in the request according to their desire. Likewise with a food menu, clients can without much of a stretch track the requests. This application additionally gives a criticism framework where client can rate the food things. Additionally, the proposed application can suggest food, in view of the appraisals given by the client, the staff will be educated for the enhancements alongside the quality. The installment can be made on the web or pay-on-conveyance framework. For more made sure about requesting separate records are kept up for every client by giving them an ID and a secret key. 06 30 2020 1005 1010 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6447.069820 https://www.ijitee.org/portfolio-item/H6447069820/ Galgotias College of Engineering and Technology, Greater Noida, UP, India. Prakash Chittora* Sunvil Shukla Galgotias College of Engineering and Technology, Greater Noida, UP, India. Sneha Yadav Galgotias College of Engineering and Technology, Greater Noida, UP, India. Vimlesh Singh Rathore Galgotias College of Engineering and Technology, Greater Noida, UP, India. Rakesh Yadav Galgotias College of Engineering and Technology, Greater Noida, UP, India. Electricity has become an inseparable part of our daily lives, its domain approach is boundless. Due to continuous use of energy resources (both renewable and non- renewable), it is our priority to conserve our resources. What is extracting power through PV cell? Solar energy is inexhaustible and can be extracted to electrical energy which eases the high consumption of non renewable resources. How to maximize the solar energy? Maximum energy can be obtained by some external aid in the form of MPPT. Why do we incorporate different techniques in a MPPT? To control the maintenance of operating point of PV array at its maximum peak Optimization of renewable energy has drastically increased over the past few decades and now capable of conservation at a higher level. Solar energy is prime example of renewable source. Not more than 50% solar irradiance is converted to solar energy without any external aid (MPPT). These techniques are mentioned in the literature work below and the respective algorithms as well. 06 30 2020 561 565 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6448.069820 https://www.ijitee.org/portfolio-item/H6448069820/ Department of Maritime Engineering, Amirkabir University of Technology, Hafez Ave, Tehran, Iran Abdolhossein Mohammadrahimi* Mesbah Sayebani Department of Maritime Engineering, Amirkabir University of Technology, Hafez Ave, Tehran, Iran. One of the situations that may cause severe damage and even sinking of bulk bulkheads is the destruction of the hatch cover and as a consequence of the ship's waterlogging. This destruction may be due to heavy loads on the page, such as shock wave loads. Considering this, it is very important to investigate the possibility of structural failure in this situation. In this paper, using a MATLAB programming language developed for the FORM method, we have tried to summarize the reliability analysis on two models of bulk carrier storage models. To achieve this, first, the algorithm of the method of expression, and then the limit state function of this failure state and its components are described, then the probability of failure of these two models of the storage compartment is calculated. 06 30 2020 773 782 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6454.069820 https://www.ijitee.org/portfolio-item/H6454069820/ School of Electronics Engineering, VIT University, Vellore, India. Gandhapu Yashwanth* Gokavarapu Manikanta Kalyan School of Electronics Engineering, VIT University, Vellore, India. Singamsetty Phanindra School of Electronics Engineering, VIT University, Vellore, India. M. Jasmine Pemeena Priyadarsini School of Electronics Engineering, VIT University, Vellore, India. Face and Fingerprint acknowledgment is most popular and generally utilized as a biometric innovation as a result of their high ampleness and peculiarity. Besides the recognizing the user the present biometric systems have to face up with the new troubles like the spoofing attacks, like presenting a photo of the person to the camera. We study the anti-spoofing solutions for distinguishing between original and fake ones in both face and fingerprint in this paper. Generally, the face arrangement and portrayal that exhibits enhancements in coordinating execution over the more typical all-encompassing way to deal with face arrangement and depiction. Face detection, introduced in this paper, comprises the accompanying significant advances like facial features locating using Active Shape Models (ASM), Local Binary Pattern for feature extraction which is known for its texture classification, and Random Forest is used for classification. a fingerprint comprises of edges and valleys design otherwise called furrows. For Fingerprint detection, introduced in this paper includes the accompanying significant advances like Minutiae based local patches, SURF, and PHOG for feature extraction, and Random Forest is used for classification. The proposed methodologies are profoundly seriously contrasted and different as the investigation of the general picture nature of real biometric tests uncovers essential data for both face and fingerprints that might be productively used to segregate them from fake attributes. 06 30 2020 589 595 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6462.069820 https://www.ijitee.org/portfolio-item/H6462069820/ Assistant Professor, Department of Information Technology,R.M.D Engineering College,Thiruvallur, Tamilnadu, India. Mr. Saravanan K* Hareeharan E Currently pursuing a bachelor’s degree in the stream Information Technology at R.M.D Engineering College,Thiruvallur,,Tamilnadu,India. Mohamed Irfan A Currently pursuing a bachelor’s degree in the stream Information Technology at R.M.D Engineering College,Thiruvallur,,Tamilnadu,India Kalyan Kumar JS Currently pursuing a bachelor’s degree in the stream Information Technology at R.M.D Engineering College,Thiruvallur,,Tamilnadu,India Crop diseases were one of a serious hazard to food preservation, but that the rapid identification continues tough against numerous segments regarding the globe's way to the shortage of mandatory infrastructure. The series of stimulating global Smart phone penetration including up to date advances also latest traits paved the way for deep Learning knowledge practicing public data sets of infected crops and also healthy plant leaves gathered beneath controlled stipulations, A deep CNN to pick out various crop species including its illnesses(disease) is developed. To verify the feasibility of this method that the trained model has to reach a great efficiency on a held-out check set. Then with the help of online sources testing the model toward a collection of pictures gathered from depended. The random selection is only supported by this accuracy implies an awful lot on the pinnacle, general accuracy can be boosted by the more various sets of training records. Overall, The way of training the deep gaining knowledge of forms on increasingly huge plus publicly to be had image data-sets provides a clear pathway closer to telephone-assisted crop ailment report on a big global scale. 06 30 2020 649 652 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6463.069820 https://www.ijitee.org/portfolio-item/H6463069820/ Electronics and communication Engineering, Vellore Institute of Technology, Vellore, India. R Derick* S Revathi Ph.D. in Optical Communication, Vellore Institute of Technology, Vellore, India. In this article, a PCF sensor is designed and computed to detect chemicals in the refractive indices range of 1.52-1.56. In this proposed design, three and four concentric discs fabricated in the core which provides ultrahigh sensitivity and circular porous cladding pattern confines large fraction of power in core region. This novel proposed design demonstrates ultrahigh relative sensitivity 86.35% and 85.02% for four and three disc models. These sensing discs are filled with different sensing fluid. This proposed PCF design overcomes some experimental challenge such as PCF probe needs some displacement after filling the sensing liquid. These uniform circular sensing discs around the solid core supports better evanescent field matter interaction for sensing application. 06 30 2020 445 448 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6477.069820 https://www.ijitee.org/portfolio-item/H6477069820/ PG (Structural Engineering) Scholar, Department of Civil Engineering, P.D.A College of Engineering, Kalaburgi, Karnataka, INDIA Mohd Aasim Ahmed* H.S. Vidyadhar Associate Professor, Department of Civil Engineering, P.D.A College of Engineering, Kalaburgi, Karnataka, INDIA. The disaster safe construction practice for an engineer is a most difficult job. Today we have witnessed these natural disasters at its peak. Even after all highly skilled techniques used for constructions these natural disasters-like floods, earthquake, landslides etc.… are not negotiable. However, we are learning lessons from these disasters and upgrading ourselves so that a resistant structure is constructed. Among these disasters, the less predictable the less comprehended and highly disastrous is an earthquake. Even after the development of technology this disaster is highly unpredictable. Conventional attempts to make a building earthquake resistance which do not collapse under strong seismic forces has proved to be satisfactory but these techniques will cause a damage to non-structural components such as glass, window, door etc.… (OR) even some times the failure of structural components which leads to non-functionality of a building, but it should be noted that building like corporate offices, call centers, hospitals etc.… must remain functional even after the earthquake. Hence special techniques are required to design the buildings to overcome above problem. Passive energy dissipating devices is the technique used to dissipate the energy incorporated in the building due to an earthquake. 06 30 2020 566 576 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6478.069820 https://www.ijitee.org/portfolio-item/H6478069820/ Mechanical Engineering, Vellore Institute of Technology, Vellore, India. Nikunj Navinbhai Patel Ananya Kapoor* Mechanical Engineering, Vellore Institute of Technology, Vellore, India. Om Hemantkumar Purohit Information Technology, Vellore Institute of Technology, Vellore, India This paper provides a step by step guide for calculation of powertrain unit including the configuration of battery pack of a two-wheeler electric vehicle. Based on the design and desired performance of the vehicle, the total resistance force, torque and power is calculated and designed in MATLAB and Simulink, which is essential for selection of electric motor. Knowing the voltage and capacity of an individual cell the configuration of battery pack is calculated and depicted in SOLIDWORKS Computer Aided Design model. A website is developed which is competent to perform the necessary calculations and display the output of the desired performance parameters. 06 30 2020 464 469 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6480.069820 https://www.ijitee.org/portfolio-item/H6480069820/ IDE Division, ICAR- Central Institute of Agricultural Engineering, Nabi Bagh, Bhopal, Madhya Pradesh 462038 India. Dr. C.K. Saxena* Dr. S.K. Ambast Principal Scientist, I/c Joint Director (Education), ICAR - National Institute of Biotic Stress Management, Baronda, Raipur, Chhattisgarh - 493225, India. Dr. S.K. Gupta Former Project Coordinator, AICRP on Management of SAS and USWA, ICAR-Central Soil Salinity Research Institute, Karnal-132001, Haryana, India. Awareness of water conservation has been increasing and understandings of conservation technologies have made headway in the world agriculture. Enhancement in water productivity has been the key objective of planners and the stakeholders. Many water conservation techniques or technologies help in enhancing the water productivity also prevent salt build-up and land degradation. Laser land levelling is one of the many such techniques, which has popularized to a certain extent. Yet its spread has not been significant. Realizing the potential of laser land levelling, the ICAR-Central Soil Salinity Research Institute (ICAR-CSSRI), Karnal, Haryana, India had imported a laser operated land leveller some three decades back. Few research and field evaluation studies have been made in the context of on-farm water savings as well as to judge the impact of this technology on small and marginal farmers. The present study highlights an on-farm as well as observations made in the farmers’ fields, on the basis of scientific observations of information collected at the ICAR-CSSRI farm on the smoothness of the soil surface achieved, uniformity of soil moisture distribution, water requirement for irrigation, as well as saving of time yield differentials of the crops in conventionally levelled and laser levelled fields. A total of 19 farmers’ fields were studied in Pundrak, Zarifa and Kalayat villages in Haryana besides two controlled studies at ICAR-CSSRI farm, Karnal. The values of Levelling Index (LI) for before and after conventional levelling have been evaluated as 3.0 cm and 2.1 cm respectively, whereas in the laser levelled fields, these were 1.93 cm and 0.85 cm respectively. The application time for irrigation in laser levelled fields has reduced to 3.5-4.5 hours from about 6 hours required in conventionally levelled fields for 0.4 ha (1 Acre). The average values of water productivity in conventional and laser-levelled fields have been evaluated at 1.5 and 2.4 kg/m3, respectively for wheat and 0.4 and 0.5 kg/m3 respectively for rice. For the fields having LI of 0.75 cm, the application efficiency has been as high as 90% in comparison to 45% for the field having LI of 6.75 cm. The estimated net profit ranged Rs. 1000 – 1200 for the first year, which rose to Rs. 4000 – 5000 in the second year onwards, during the study for the laser levelled fields. Besides the technical appraisal, the paper highlights the limitations such as necessity of repeat application of laser land levelling once in three years. Fortunately more than 500 custom hiring units have already appeared in the North Indian states due to sensitization through trainings and demonstrations of this technology. 06 30 2020 374 379 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6482.069820 https://www.ijitee.org/portfolio-item/H6482069820/ Department of Computer Science and Engineering, VR Siddhartha Engineering College, Vijayawada, Kanuru. Vasanthi Vadlamudi* Divya Sree Ravi Department of Computer Science and Engineering, VR Siddhartha Engineering College, Vijayawada, Kanuru. Rishita Dhulipalla Department of Computer Science and Engineering, VR Siddhartha Engineering College, Vijayawada, Kanuru. Rohith Vamsi Danduboyina Department of Computer Science and Engineering, VR Siddhartha Engineering College, Vijayawada, Kanuru. K.S.Vijaya Lakshmi Assistant professor at the Department of Computer Science and Engineering, VR Siddhartha Engineering College, Vijayawada, Kanuru. Approximate Nearest Neighbor (ANN) has developed an immense demand for many tasks. This ANN methodology was being used for product quantization. These product quantization methods were being used for e-commerce sites. However, this quantization maybe sometimes misleading due to a lack of accuracy in technique. So, we managed to increase the accuracy of quantization by adding Logistic Regression in the process. This helps to increase the accuracy of the method by having a probability value. This helps to make correlated items much more accurate when compared to pure quantization. This method is helpful for e-commerce sites for efficiency in the prediction of purchase by the customer. 06 30 2020 653 655 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6483.069820 https://www.ijitee.org/portfolio-item/H6483069820/ Department of Information Technology, National Engineering College, Kovilpatti, Tamilnadu, India. A. Abarna* B. Amuthavani Department of Information Technology, National Engineering College, Kovilpatti, Tamilnadu, India. V. Varshini Department of Information Technology, National Engineering College, Kovilpatti, Tamilnadu, India. Dr. S. Chidambaram Assistant Professor (SG), Department of Information Technology, National Engineering College, Kovilpatti, Tamilnadu, India. In recent days, Emergency Department in healing centre is crowded, which causes negative consequences for patients. The internet is a crucial bridge for connecting patients with medical services. The data of the patients in healing centre contain data like physician note, x-ray radiology, discharge rundowns which are unstructured. In the predictive inspection, the free text is an essential part of patient records and it is necessary. To avoid this situation, the patient data should be analyzed, and the prediction should be made. Such a pathway can be created utilizing data mining procedures, which involves inspection and observing data to obtain vital data and knowledge through which decisions can be taken. Here the understanding focuses of intrigued are entered through a webpage that's put absent inside the database. Then administrative data from three different healing centre is applied to algorithms like Logistic Regression, CART decision tree for prediction, and its accuracy score is compared. 06 30 2020 664 667 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6486.069820 https://www.ijitee.org/portfolio-item/H6486069820/ Department of Electronics and Telecommunication Engineering, College of Engineering Pune,Wellesely road Shivajinagar, Pune, Maharashtra, 411005, India Sagar S. Tikar* Rajendra A. Patil Department of Electronics and Telecommunication Engineering, College of Engineering Pune,Wellesely road Shivajinagar, Pune, Maharashtra, 411005, India Numerous individuals pass away every year in roadway crashes brought about by driver’s absent mindedness. Path discovery frameworks are helpful in maintaining a strategic distance from these mishaps as wellbeing is the primary motivation behind these frameworks. Such frameworks have the objective to distinguish the path marks and to caution the driver on the off chance that the vehicle tends to leave from the path. A path location framework is a significant component of numerous smart vehicle frameworks. Path recognition is a difficult undertaking in light of the differing street conditions that one can run over while driving. In the previous barely any years, various methodologies for path discovery were proposed and effectively illustrated. Right now, a concise outline of existing strategies, we present a vigorous path discovery dependent on recursive HOG change. In path stamping acknowledgment, dimensional scale information, progressively changing area of plotting and recursive HOG change procedures are utilized to recognize path markings effectively. Trial results show that the proposed calculation is viable in picture pre-processing and can identify the path checking and vehicle precisely with less time. 06 30 2020 783 789 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6490.069820 https://www.ijitee.org/portfolio-item/H6490069820/ School of Electronics Engg., VIT, Vellore, India. Sakthivel R* Suburaaj R School of Electronics Engg., VIT, Vellore, India Feed-forward neural networks can be trained based on a gradient-descent based backpropagation algorithm. But, these algorithms require more computation time. Extreme Learning Machines (ELM’s) are time-efficient, and they are less complicated than the conventional gradient-based algorithm. In previous years, an SRAM based convolutional neural network using a receptive – field Approach was proposed. This neural network was used as an encoder for the ELM algorithm and was implemented on FPGA. But, this neural network used an inaccurate 3-stage pipelined parallel adder. Hence, this neural network generates imprecise stimuli to the hidden layer neurons. This paper presents an implementation of precise convolutional neural network for encoding in the ELM algorithm based on the receptive - field approach at the hardware level. In the third stage of the pipelined parallel adder, instead of approximating the output by using one 2-input 15-bit adder, one 4-input 14-bit adder is used. Also, an additional weighted pixel array block is used. This weighted pixel array improves the accuracy of generating 128 weighted pixels. This neural network was simulated using ModelSim-Altera 10.1d and synthesized using Quartus II 13.0 sp1. This neural network is implemented on Cyclone V FPGA and used for pattern recognition applications. Although this design consumes slightly more hardware resources, this design is more accurate compared to previously existing encoders. 06 30 2020 470 481 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6501.069820 https://www.ijitee.org/portfolio-item/H6501069820/ Department of Electronics Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India. M. Parthasarathy* Dr. Sakthivel R Associate Professor, Department of Electronics Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India. Neuromorphic computing is the process used to appliance the neural system models. Formerly, it is referred to as the biological process and later it turned out to be the computing algorithms. Many neuromorphic algorithms represented as the neural figures such as neural spikes, fluctuated graphs, and synapses. The biological nervous system for instance consists of huge number of neurons and they collectively work to encode the stimulus of various senses. In case of neuromorphic computing, automated brain brings in the concept of efficient work carried out through artificial means. The neuromorphic computing thus evolves as a major technological advancement and the need of such technique is the need of the hour in various scientific as well as field applications. In existing techniques, the scaling, power and area are not efficient. This study attempts to address the major issues such as scaling and power. This paper explains the design on a non-spiking network which is used for population coding architecture. The model which is discussed in this paper is based on the analog domain and the current mode circuits are also involved. The input neuron model consists of current direction selector block, current scale block and minimum current block which all comprise to form the neuron model. This paper also brings out the possible outcome of low power constraints. This paper involves 180nm technology with which the power is measured. This paper brings out the simulations of both 180 and 90nm technologies. Apart from current scale block, minimum current block and current direction selector block, there are other blocks such as current splitter block and current mode low pass filter block, where all the circuits work under the sub-threshold condition. The power consumption obtained in the 180 nm technology is 58.838 μW and its energy equivalent is 1.765pJ. Neuromorphic computing is used as an application where the machines are being automated and such machines come with self-thinking capability. Neuromorphic computing design which is evolved from this paper is found to be more power ad energy efficient. The tool used is Cadence Virtuoso. 06 30 2020 481 490 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6502.069820 https://www.ijitee.org/portfolio-item/H6502069820/ College of Computer and Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia. Mamdouh Alenezi Mohammed Akour* Al Yamamah University, Riyadh, Saudi Arabia, Yarmouk University, Irbid, Jordan. Software quality aims at having quality as part of all aspects of the developed software. Design smells are considered enemies of the software source code quality. There are verities of design problems with different terminologies. Researchers and practitioners accept it as true that whenever there is a design smell, there is a security issue or concern. In this work, we want to explore the connection between design smells and security vulnerabilities. This work provides experimental evidence about this connection. We conducted an empirical study to explore the connection between design smells and security issues by evaluating four C# open-source systems. We found interesting results that show classes with design smells have more chances of having security issues. 06 30 2020 449 452 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6508.069820 https://www.ijitee.org/portfolio-item/H6508069820/ Department of Computer Engineering, Indira College of Engineering and Management, Maharashtra, India. Sailee Wakhare* Dr Priya Pise Head, Department of Computer Engineering, Indira College of Engineering and Management, Maharashtra, India. Shivani Birajdar Student, Department of Computer Engineering, Indira College of Engineering and Management, Maharashtra, India. Rutuja Khalate Department of Computer Engineering, Indira College of Engineering and Management, Maharashtra, India. Sonali Survase Department of Computer Engineering, Indira College of Engineering and Management, Maharashtra, India. The cryptographic hash work and symmetric encryption make it hard to break Passwords. Secure secret word stockpiling is a crucial perspective in framework dependent on secret word verification, which is as yet the most broadly utilized confirmation system, notwithstanding its some security imperfections. So basically, this work is based on providing security to the systems. Right now, propose a secret word verification structure that is intended for secure secret word stockpiling and could be effectively coordinated into existing confirmation frameworks. In our system, first, the got plain secret key from a customer is worked out a cryptographic hash work. At that point; the hashed secret word is changed over into a negative secret word. At last, the negative secret word is encoded into an Encrypted Negative Password (ENP) utilizing a symmetric-key calculation, and multi-emphasis encryption could be utilized to additionally improve security. The cryptographic hash work and symmetric encryption make it hard to split passwords from ENPs.We are going to use message digest i.e MD5 and AES algorithm for this purpose. Besides, there are loads of comparing ENPs for a given plain secret key, which makes precomputation assaults infeasible. The calculation multifaceted nature investigations and examinations show that the ENP could oppose query table assault and give more grounded secret word insurance under lexicon assault. It merits referencing that the ENP doesn't present additional components other than this, the ENP could in any case oppose precomputation assaults. We are giving shading coding framework just as key logger idea secret key reason. This shading code framework is hard to break to third person. In key lumberjack the keypad of framework is mix, each time it will change the grouping of catches of 0-9 numbers,subsequent to logging the client one otp will send to client email just as the key squence of the keypad will send on client email. By utilizing this otp and key grouping client will login to framework and it will do the further exchange process. This framework will valuable in future for any financial framework or any verification reason will be utilized. 06 30 2020 810 814 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6509.069820 https://www.ijitee.org/portfolio-item/H6509069820/ School of Electronics Engineering, Vellore institute of technology, Vellore, India. S. N. V. Nishanth S. Suryadev School of Electronics Engineering, Vellore institute of technology, Vellore, India. Ch.Charan Teja Reddy School of Electronics Engineering, Vellore institute of technology, Vellore, India. S. Kalaivani* School of Electronics Engineering, Vellore institute of technology, Vellore, India. Lung cancer is one of the diseases which has a high mortality. If the condition is detected earlier, then it is easier to reduce the mortality rate. This lung cancer has caused more deaths in the world than any other cancer. The main objective is to predict lung cancer using a machine learning algorithm. Several computer-aided systems have been designed to reduce the mortality rate due to lung cancer. Machine learning is a promising tool to predict lung cancer in its early phase or stage, where the features of images are trained using a classification model. Generally, machine learning is used to have a good prediction, but in some models, due to lack of efficient feature extraction value, the training has not been done more effectively; hence the predictions are poor. In order to overcome this limitation, the proposed covariant texture model utilizing the steerable Riesz wavelets feature extraction technique to increase the effectiveness of training via the Random Forest algorithm. In this proposed model, the RF algorithm is employed to predict whether the nodule in the image is benign or malignant ii) to find the level of severity (1 to 5), if it is a malignant nodule. Our experiment result can be used as a tool to support the diagnosis and to analyze at an earlier stage of cancer to cure it. 06 30 2020 491 496 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6520.069820 https://www.ijitee.org/portfolio-item/H6520069820/ M.E Scholar, Department of Mechanical Engineering, NITTTR Chandigarh, India. Keshav Kumar* Dr B.S. Pabla ex-Principal of Chandigarh College of Engineering and Technology (CCET) Chandigarh, India .Currently Professor at Mechanical Department , NITTTR Chandigarh , India. In the modern days, Internet of Things (IoT) is smart communicating approach and creates an energetic impression in future of automobile industry. The advancement of IoT innovation in each field can be joined with the rising occasions setting off a requirement for a superior human way of life and its applications are vast and innumerable. One such application can be implied for the automobile industry to real time monitor the engine lubricant because in India, automobile mechanics still use conventional techniques of engine lubricant supervision. So in this paper, we present, an IoT technology based a real time Engine Oil Monitoring (EOM) System for diagnosis of engine lubricant. The main objective of this research paper is to reduce the human effort and to provide a smart sensing approach in automobile industry for maintaining real time engine oil conditions. EOM system is designed with the help of Arduino Nano with sensor devices named as Light Dependent Resistor (LDR) sensor for oil quality, LM35-Temperature sensor for temperature and Ultrasonic Sensor for oil level measurement in engine. Real time testing results shown in the connected display unit and experimental results of proposed EOM system using IoT network provides an efficient diagnosis results. EOM system is working properly that is observed in the experimental analysis section for two different scenario such as 10W-50 4T Scooter Engine Oil-Honda Activa 125 (1L) and 10W-30 Synthetic Engine Oil for Petrol Cars (3.5 L). 06 30 2020 497 505 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6524.069820 https://www.ijitee.org/portfolio-item/H6524069820/