-74813b3e17f460286df-47f8 20220418070025461 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 04 30 2020 9 6 Department of Information Science and Enginnering, V.P.Dr P.G.Halakatti College of Engineering and Technology Vijayapura, India Santosh S. Chinchalli* Shivakumar K. Honawad Department of Information Science and Enginnering, V.P.Dr P.G.Halakatti College of Engineering and Technology Vijayapura, India. now a days mobile devices can use cloud for data Access and manipulation without knowing overhead of local data management this may lead to leakage of sensitive data. Major disadvantage is to provide security for the user data , so this leads to concern for the user to access cloud computing. Lot of Research work carried out to provide security to user data over cloud computing, However these solutions are not resolve issues of mobile cloud computing due to constrained resource in mobile devices[2]. To overcome these issues, proposed methodology efficient data sharing and retrieval method, provide secure access control terminology using attribute based encryption in cloud platforms, as well as by using lazy-revocation technique will reduce user revocation cost 04 30 2020 458 460 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3740.049620 https://www.ijitee.org/portfolio-item/F3740049620/ Assistant Professor, Department of Electronics & Telecommunication Engineering, G H Raisoni College of Engineering, Nagpur, Maharashtra, India. Dr. Pankaj H. Chandankhede* Prof. Pragati M. Fatinge Assistant Professor, Department of Computer Engineering, KC College of Engineering and Management Studies and Research, Thane Mumbai, Maharashtra, India This paper deals with new pan sharpening techniques/methods for multispectral pan sharpening. These techniques are functional to number of datasets and their usefulness, strength and health are (figured out the worth, amount, or quality of) with widely used performance indicators. Also, all the ways of doing things of pan sharpening thought about/believed in this paper were put into use in a MATLAB with toolbox. GUI was designed using regression method which reduces color distortion. 04 30 2020 461 465 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3745.049620 https://www.ijitee.org/portfolio-item/F3745049620/ CSE Department, GNITS, Hyderabad, India. T. Swapna* Y.Sravani Devi CSE Department, GNITS, Hyderabad, India. K. Sindhura CSE, GNITS, Hyderabad, India Video is one in every of the sturdy sources of data and the consumption of on-line and offline videos has reached a new level within the previous few years. An elementary challenge of extracting data from videos is, a viewer should undergo the whole video to grasp the context, as against a picture wherever the viewer will extract data from one frame. Typically, protracted videos also are quite troublesome to follow because of reasons like totally different pronunciation, pace then on. Abstractive Text summarization extracts the utmost important information from a source which is a text and provides the adequate outline of an equivalent. The analysis work conferred during this paper describes a straightforward and effective methodology for video Summarization. It principally targets academic and technical videos. Speech is extracted from video. The speech is regenerate to the corresponding text using abstractive summarization technique and produces summarized text. For quicker conversion of video to text GPU can be used. This has numerous applications like lecture notes creation, summarizing catalogues for protracted documents then on. 04 30 2020 802 805 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3747.049620 https://www.ijitee.org/portfolio-item/F3747049620/ Mechanical Engineering Department ,NEC, Narasaraopet, India. Sai Ram Pothuri* K. Ayyappa Swamy Mechanical Engineering Department , Birla institute of Technology and Science, Pilani, Rajasthan 333031, India Pilli Sravani Mechanical Engineering Department ,NEC, Narasaraopet, India. This category of liquids is in high demand because of the substantial increase in thermal efficiency as well as other nano fluid properties. During this study, the numerical assessment of nano fluids, such as CuO and ZnO, is considered to explore the nucleate boiling phenomenon. Critical improvement of the heat flux during the boiling of the adopted nano fluids at specific VOF levels has been visualized. Computational findings show that thermal properties of nano fluids such as heat transfer coefficient, surface heat flux, bubble frequency increase with the maximum concentration of nano fluids. The results show a similar trend with the literature. ZnO nano fluid delivers better results after a time period of 1 s, especially in comparison to CuO and other nano fluids due to higher thermal conductivity. 04 30 2020 2105 2111 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3749.049620 https://www.ijitee.org/portfolio-item/F3749049620/ ECE, Sri Krishna College of Engineering and Technology, Coimbatore,India. G. Saranya* R. Dharsheeni ECE, Sri Krishna College of Engineering and Technology, Coimbatore,India. V. Chitrarasu ECE, Sri Krishna College of Engineering and Technology, Coimbatore,India. S. Gokuldharan ECE, Sri Krishna College of Engineering and Technology, Coimbatore,India. P. Gokulraj ECE, Sri Krishna College of Engineering and Technology, Coimbatore,India. Pollution plays a major part in global warming and water pollution stands alarming for all living organisms in the world. Water pollution is killing tens of millions of Indians and nearly 19.3% of Indian population does no longer have access to clean water. The toxicity of Indian water our bodies are increasing except India’s boom and urbanization. It is located that out of general water available, round 70% of surface water in India is not worthy for consumption. India has a mortality fee of 400000 lives according to year because of lack of sanitation and hygiene. Researchers have found that the closing purpose of water pollution is the plastics. In order to overcome these issues, a smart trash boat is designed in this paper which can accumulate all the floating and semi floating wastes specifically plastics from the urban drain from any water bodies. This system is enabled with Artificial Intelligence and image processing which is capable of classifying, managing, accumulating and indicating the status of trashes along with its statistics. 04 30 2020 690 693 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3752.049620 https://www.ijitee.org/portfolio-item/F3752049620/ PG Student, Department of Computer Science, GITAM (Deemed to be University), Visakhapatnam Vicky Malik* S.Prasad Babu Vagolu Assistant Professor, Department of Computer Science, GITAM (Deemed to be University), Visakhapatnam Sunil Chandolu Assistant Professor, Department of Computer Science, GITAM (Deemed to be University), Visakhapatnam Restaurant Rating has become the most commonly used parameter for judging a restaurant for any individual. A lot of research has been done on different restaurants and the quality of food it serves. Rating of a restaurant depends on factors like reviews, area situated, average cost for two people, votes, cuisines and the type of restaurant. The project aim is to find out the relationship between the dependent and independent variable. Proposed project is a Machine Learning Regression problem which uses Restaurant Rating dataset. Based on various attributes like the food, quality, prize ambience of the restaurant it predicts the Restaurant Rating. 04 30 2020 466 469 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3754.049620 https://www.ijitee.org/portfolio-item/F3754049620/ Industrial Engineering Department, Engineering College, University of Business and Technology, Jeddah, Saudi Arabia. Ramiz Assaf* Mohammad Kanan Industrial Engineering Department, Engineering College, University of Business and Technology, Jeddah, Saudi Arabia The Internet Service Provider (ISP) sector in Palestine operates in a highly competitive market that presents many challenges related to Israeli rules and regulations concerning internet services. Such challenges emphasize the need for the various ISPs to have a detailed and clear understanding of the critical service quality dimensions that affect the loyalty of customers, and to constantly evaluate and strengthen the service they provide. Therefore, the aim of this work is to study the influence of service quality on customer satisfaction and loyalty in the Palestinian internet sector. The study used a quantitative approach based on the SERVQUAL dimensions to collect the data from internet subscribers through a questionnaire and the data was analyzed using statistical methods. The survey data was gathered from 403 valid responses covering more than eight ISP companies in the West Bank. An examination of the study variables based on the conceptual framework was achieved by using SPSS, where means of quantitative methods such as a comparison of means, and simple and multiple regressions were calculated. The results indicate that, in general, the level of service quality does not meet customer expectations. In addition, a descriptive analysis of the study variables indicates that the means of three service quality dimensions (reliability, responsiveness, and tangibility) have a medium degree level, while empathy and assurance have a high degree level. It is showed that service quality positively affects customer satisfaction. A positive relationship exists between customer satisfaction and customer loyalty. The study suggests that the effect of the “responsiveness” dimension on consumer satisfaction and loyalty is stronger than the effects of the other dimensions, with “tangibility” having the lowest effect. Finally, the study recommends to ISPs to improve the level of service quality in order to meet customers' needs and wants, and in order to gain long-term customer loyalty. 04 30 2020 1515 1524 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3755.049620 https://www.ijitee.org/portfolio-item/F3755049620/ Power Electronics and Drives, AISSMS’s IOIT, Pune, India Nilesh B. Rohankar* Jithin C.J Power Electronics and Drives, AISSMS’s IOIT, Pune, India Shashikant Madhukar Bakre Professor in Electrical Engineering Department at AISSMS’s IOIT, Pune. India Sachin V. Shelar Assistant Professor in the Department of Electrical Engineering at AISSMS’s IOIT, Pune. India Ashpana Shiralkar Head of Department, Electrical Engineering, AISSMS’s IOIT, Pune, India India is having large potential of renewable energy for which Govt of India has a plan to develop 100GW solar generation. Out of which commissioning of 60 GW Distributed RE generation has been the beginning of an era of de-licensed generation. Paper emphasis on the need for active involvement of distribution companies (DISCOMS) for strong scalability of pilot projects concept under clustered solar agriculture feeder in rural areas and its power evacuation with high degree of performance indicators. In this paper we have discussed various issues regarding grid connected ground mounted solar plant with its energy generation, solar insolation, project sizing/designing tools like PV SYST & HELIOSCOPE software with simulation analysis. Paper covers analysis of above software results for critically study annual energy generation & to mitigate its challenges. 04 30 2020 912 919 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E3758.049620 https://www.ijitee.org/portfolio-item/F3758049620/ Dr. SSBUICET, Panjab University, Chandigarh, INDIA. B. K. Gill* Minakshi Dr. SSBUICET, PU, Chandigarh, INDIA. V. K. Ratttan Dr. SSBUICET, PU, Chandigarh, INDIA. Experimentally measured data for viscosity and refractive index of (o-Xylene + n-Nonane) binary mixture are reported in this research paper for various compositions for three different temperatures at atmospheric pressure. Modified Ubbelholde viscometer and Abbe-3L Refractometer were used for experimental measurements. Deviation in molar refraction (ΔR) and deviation in viscosity (Δη) w.r.t composition have been calculated from the experimental data. ‘Grunberg and Nissan’ equation and Herric’s Correlation were used to correlate the viscosity data. Excess thermodynamic properties were fitted to Redlich-Kister equation. Coefficients and standard deviations, hence obtained are reported. Variation in Excess Thermodynamic properties for the mixture have been discussed in terms of intermolecular interactions. 04 30 2020 694 698 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3766.049620 https://www.ijitee.org/portfolio-item/F3766049620/ Independent researcher Research are concerns social innovations and international relations Imomov Bobur Khojanazarovich* Ochilova Nigora Ruzimurotovna candidate of philosophy sciences, ass.professor. main scientific research field is socio-philosophy. She has more than 50 articles on socio-philosophy and 9 international publications. Ibragimov Solijon Ergashevich senior teacher. Research field deals political sciences. He has published more than 30 articles and 5 international articles. Turayeva Sanobar Xalilovna senior teacher. Research field deals social sciences. she has published more than 20 articles and 6 international articles. This article outlines the issues of cooperation between the Republic of Uzbekistan and the Republic of Turkey in the field of tourism, the legal framework for the development of tourism in Uzbekistan and projects implemented by entrepreneurs of the two countries, practical issues, and key issues in the field of industry development. 04 30 2020 920 923 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3767.049620 https://www.ijitee.org/portfolio-item/F3767049620/ Research Scholar, Periyar University, Salem, TamilNadu, India. N. Parvin* Dr.P. Kavitha Department of Computer Science, Paavendhar College of Arts and Science, M.V. South, Attur. TamilNadu, India. The immense progress of new technology we have been created an enormous number of digital images by using such devices as a digital camera, scanner, and mobile phones so on. All the images which are taken by the devices to keep in Image Database. For retrieving the desire images which were given in an input image has compared with the large database according to the visual content used by the technique as referred to as the Content Based Image Retrieval (CBIR) system. There are two phases for retrieving images in the CBIR system, as the first one is feature extraction and the second one is similarity size. Thus, the feature extraction consists of every image has produced symbolic content in the form of the function. The visual contents of an image in the CBIR system contain the features which have represented as shape, texture, spatial region and color of the images. In our paper tries to design the images’ color features as in the steps to focus color representation in the k-d tree, CIELAB color space of color signature compression along with categories of Human’s color for Content-based image retrieval and also acquire the results using MATLAB. 04 30 2020 470 476 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3770.049620 https://www.ijitee.org/portfolio-item/F3770049620/ Department of Computer Science Engineering, SRM IST, Kanchipuram Tamil Nadu, India. Arnav Garg* Kushal Agrawal Department of Computer Science Engineering, SRM IST, Kanchipuram Tamil Nadu, India. Mrs. P. Akilandeshwari Department of Computer Science Engineering, SRM IST, Kanchipuram Tamil Nadu, India. There is a lot of audio data generated on a day to day bases, which goes to waste without undergoing due processing. If we process this data, it can be beneficial for a multitude of purposes. Vocal data is unstructured, which makes it even harder for processing. This data has to undergo thorough pre-processing to convert it to a machine-understandable form. We aim to perform analysis of human voice to extract meaningful data and make a prediction of their age, gender, and accent. The developed system uses the Mel-frequency Cepstral Coefficient (MFCC), zero-cross-rate(ZCR), chroma_stft, spectral_centroid, spectral_bandwidth, and spectral_rolloff algorithms as a tool for Feature Extraction. The algorithms used for making inferences are support vector machine (SVM), K-nearest neighbors, and SVR. The work can be extended even further by combining video data with the audio data for analysis. The system can also be improved by increasing the number of languages it can detect. 04 30 2020 1335 1338 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3771.049620 https://www.ijitee.org/portfolio-item/F3771049620/ Department of Computer Science and Engineering, Raghu Institute of Technology, Visakhapatnam, India Salina Adinarayana* E Ilavarasan Department of Computer Science Engineering, Pondicherry Engineering College, Pondicherry, India This paper presents a three stage framework for feature -based rank of opinions around target product and features in a collection of product review tweets as twitter corpus. The main stages of the framework are discussed and presented the analysis of the sentiment with respect to features of the digital camera sales in ecommerce sites. 04 30 2020 2077 2081 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3776.049620 https://www.ijitee.org/portfolio-item/F3776049620/ Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India. Amisha Mishra Shruti Duggal Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India. Snehanshu Banerjee Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India. Mr. R B Sarooraj Professor, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India. Deoxyribonucleic acid is a double- helical molecule composed of two chains that contains genetic instructions. Genetic diseases are caused by changes in pre-existing genes. A genetic abnormality results from the alteration in chromosomes. DNA classification helps to identify genetic disorders in organisms. DNA pattern recognition is a major issue in bioinformatics. DNA is classified into several categories on the basis of Structure, Location, Number of base pairs etc. Traditionally the DNA Molecule is studied by extracting it from the blood sample and is then manually analysed to find out the abnormalities. To increase the accuracy, a machine learning based DNA classification is done which helps in studying the extracted DNA image using various techniques. This consumes minimal amount of time and is more efficient. The image is pre-processed using median filter and canny edge detection. DNA sequences can be recognized correctly and effectively without any uncertainties with the help of Neural Network.The network successfully classifies an image given as input when it is trained with patterns. Thus, we can analyse if a person has a genetic disorder. 04 30 2020 1288 1291 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3781.049620 https://www.ijitee.org/portfolio-item/F3781049620/ Department of Computer Applications, Bharathiar University, Coimbatore Nisha Varghese* M Punithavalli Department of Computer Applications, Bharathiar University, Coimbatore The similarity between two synsets or concepts is a numeral measure of the degree to which the two objects are alike or not and the similarity measures say the degree of closeness between two synsets or concepts. The similarity or dissimilarity represented by the term proximity. Proximity measures are defined to have values in the interval [0, 1]. Term Similarity, Sentence similarity and Document similarity are the areas of text similarity. Term similarity measures used to measure the similarity between individual tokens and words, Sentence similarity is the similarity between two or more sentences and Document similarity used to measure the similarity between two or more corpora. This paper is the study between Knowledge based, Distribution based and prediction based semantic models and shows how knowledge based methods capturing information and prediction based methods preserving semantic information. 04 30 2020 477 481 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3783.049620 https://www.ijitee.org/portfolio-item/F3783049620/ ECE Department, K.S. Institute of Technology (affiliated to VTU), Bangalore, India. V. Sangeetha* Dr.P.N. Sudha Prof &Head of ECE Department, K.S. Institute of Technology (affiliated to VTU), Bangalore, India. Transmission of signal over long distance through the channel will result in poor signal quality reception at the receiver. The Signal quality is affected by means of fading and it can be minimized by using effective modulation techniques. M-ary QAM is one of the effective modulation techniques as it has higher efficiency and effective form of modulation for data. M-QAM is a modulation where data bit selects M combinations of amplitude and phase shifts that are applied to carrier. The analysis carried out based on Bit Error Rate on various M -Quadrature Amplitude Modulation schemes like 16 -QAM, 64- QAM and 256- QAM over Gaussian and Rayleigh Fading channel. The input data entered into QAM modulator then transmits over Gaussian channel and the QAM demodulator is performed at the receiver. The same process repeated over Rayleigh fading channel for M-QAM. Rayleigh fading is multipath fading channel will vary randomly according to the Rayleigh distribution. The MATLAB simulation is carried out to get experimental results on M-QAM and compared. The analysis shows that improved Bit Error Rate in 16-QAM over Gaussian and Rayleigh fading channel. 04 30 2020 482 485 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3786.049620 https://www.ijitee.org/portfolio-item/F3786049620/ Department of Computer Science & Engineering. Jamia Hamdard, New Delhi-110062, India Amit Rehalia* Samar Wazir Department of Computer Science & Engineering. Jamia Hamdard, New Delhi-110062, India. Md. Tabrez Nafis Department of Computer Science & Engineering. JamiaHamdard, New Delhi-110062, India. Data mining is the procedure of identifying the important and relevant data from large heterogeneous databases. Data mining plays an important role because of its usage in various domains. The transaction in the data mining defines the profit of the items associated with it. Earlier algorithms were proposed to measure the w-support without assigning predefined weights to determine the important transactions using the HITS model. Significant items are extracted from the databases using the quality of the transactions. However, there is considerable overhead in computing the w-support, as it requires four to five iterations. In this paper, two algorithms are proposed which uses the Poisson distribution and Normal distribution while computing the w-support without using the pre-assigned weights. The Poisson distribution uses the probability mass functions whereas the Normal distribution uses the probability density function to compute the w-support. The experiments were executed on various standard datasets. The results of our proposed algorithms show a considerable decrease in normalization time to compute the w-support as compared to the HITS model. Hence our algorithms provide better performance with respect to execution time and a number of significant items. 04 30 2020 486 494 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3787.049620 https://www.ijitee.org/portfolio-item/F3787049620/ Pursuing Bachelor of Engineering (B.E), Information Technology, Department of Information Technology, Jayawantrao Sawant College of Engineering, Pune, India. Abhijeet Mohanta* Shah Yash Jitendra Pursuing Bachelor of Engineering (B.E), Information Technology, Department of Information Technology, Jayawantrao Sawant College of Engineering, Pune, India. Khandelwal Nikita Dinesh Pursuing Bachelor of Engineering (B.E), Information Technology, Department of Information Technology, Jayawantrao Sawant College of Engineering, Pune, India. Wable Saurabh Suhas Pursuing Bachelor of Engineering (B.E), Information Technology, Department of Information Technology, Jayawantrao Sawant College of Engineering, Pune, India. Aruna K. Gupta Asst. Prof.,IT department at JSPM's JSCOE, Pune affiliated to Savitribai Phule Pune University (SPPU). Visual perception, while an important means to navigate the world, can be replaced, as proven and demonstrated by studies on perception in animals, including humans. The system uses the tools and techniques of machine learning to create an application that would help the visually impaired to see thus giving them newfound hope for enjoying the richness and complexity of the world, all the while successfully navigate in it. The android application presented in this paper aims to enable people with visual impairment to live more independently. It uses a smartphone to capture real-time input data, with this approach the user could easily read menu cards in restaurants, hotel room number or even find their belongings. The system can recognize various objects at which the user is looking in its surrounding. The app uses a voice control feedback mechanism through which the user can perform various tasks with the help of his voice. 04 30 2020 495 497 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3789.049620 https://www.ijitee.org/portfolio-item/F3789049620/ Research Scholar Master of Computer Applications (MCA) Department of Computer Science CHRIST (Deemed to be University), Bangalore – 560029, Karnataka, India Namrata D Rupani* R. Roseline Mary Assistant Professor Department of Computer Science CHRIST (Deemed to be University), Bangalore – 560029, Karnataka, India Emotions are an inevitable and integral part of human existence. They form the basis of decisions taken by individuals and the way they perceive their surroundings. Method of articulation of emotions have changed with the increment in dependency between people and innovation. Now the need to recognize emotions has increased with the increasing role of human-Computer Interface (HCI) technology. There are many ways to record and identify human’s emotion using different neurophysiological measurements/ technologies like GSR(Galvanic Skin Response), Electromyography (EMG), Electrocardiogram (ECG) and Electroencephalography (EEG). In this paper, the focus is on emotion detection using EEG signals and other physiological signals and further analyzing them. There exist various machine learning techniques that have been used to pre-process and classify EEG data, have been reviewed in the paper. The analysis involves major aspects of the emotion recognition process like feature extraction, classification and comparison of the approaches. Different supervised machine learning algorithms have been applied to classify the EEG data. This paper focuses on comprehensive analysis of existing systems and based on the result propose the techniques which when applied will reap high-quality results. 04 30 2020 534 543 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3801.049620 https://www.ijitee.org/portfolio-item/F3801049620/ Pursuing B.E, Computer Science and Engineering, SCSVMV Deemed, University, Kanchipuram, Tamil Nadu, India. V. Sruthi* S.Lakshmi Narayanan Pursuing B.E, Computer Science and Engineering, SCSVMV Deemed, University, Kanchipuram, Tamil Nadu, India. In India Every year RBI (Reserve bank of India) faces the issue of fake currency. Fake Currency has consistently been an issue that has made a lot of chaos in the market. The expanding mechanical progressions have made the opportunities for making progressively fake currency which is circled in the market which decreases the general economy of the nation. There are machines present at banks and other business regions to check the validness of the monetary forms. Be that as it may, a typical man doesn't approach such frameworks and henceforth a requirement for a product to distinguish counterfeit cash emerges, which can be utilized by average folks. This proposed framework utilizes Image Processing to identify whether the currency is real or fake. The framework is structured utilizing Python programming language and OpenCV. It comprises of the means, for example, grayscale detection, edge detection, Highlight Extraction, and so forth which are performed utilizing reasonable strategies. And which will be further implemented in the Framework for Classification and Identification of Similarity for Commonness of Source 04 30 2020 544 548 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3805.049620 https://www.ijitee.org/portfolio-item/F3805049620/ Department of Computer Science and Engineering. Gopinath AR* Sushan Sharma Department of Computer Science and Engineering. Sushmitha Prathap Department of Computer Science and Engineering. Priya Jha Department of Computer Science and Engineering. Megha Singh Department of Computer Science and Engineering. Humanoid robots have been on the frontier of robotic science for several decades, where human alike capabilities have been replicated into electromechanical units. Humanoid robots hold promises in the field of rescue, quarantine, hazardous conditions, radiation leakage, medical trials, etc. Building a humanoid robot is very complicated as it has to deal with locomotion, power, drive train, sensors and computing at the real time. With the development of Single board computers (SBC), the cost of computers has drastically fallen in last 2 decades. At the same time the computation power (GF/Sec) has also increased exponentially. Similarly, MEMS and sensors have also become industrially available with micro sized, robust and reliable. The power source used by robots has also advanced from dry cell to Li-Ion batteries with 5 to 8 times more energy density, resulting in higher operation time. The objective of this paper is to propose a low-cost Humanoid platform comprising a computational platform, sensors, power unit and drive train to deliver basic human alike functions like speech, visual signs, and navigation. The proposed humanoid robot uses a single board computer (SBC) capable of executing python-based AI frameworks combined with Ultrasonic sensors, Li-ion battery and DC motor drives. A top mounted touch screen is used for human machine interface (HMI). This human robotics used in a mid-size campus to guide people to their respective destination, display brief information to new users and navigate to different locations. The humanoid robot adds an aesthetical value to the campus. 04 30 2020 498 501 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3808.049620 https://www.ijitee.org/portfolio-item/F3808049620/ M. E, Head Of Department, Computer Science Engineering, Prince Dr K. Vasudevan College of Engineering And Technology, Ponmar, Chennai, India. R. Deepa* S. Ashlin Lifty U.G Graduate, Computer Science Engineering, Prince Dr K. Vasudevan College of Engineering and Technology, Ponmar, Chennai, India. M. S. Deepigka U. G Graduate, Computer Science Engineering, Prince Dr K. Vasudevan College of Engineering and Technology, Ponmar, Chennai, India. Brain tumors are the result of unusual growth and unrestrained cell disunity in the brain. Most of the medical image application lack in segmentation and labeling. Brain tumors can lead to loss of lives if they are not detected early and correctly. Recently, deep learning has been an important role in the field of digital health. One of its action is the reduction of manual decision in the diagnosis of diseases specifically brain tumor diagnosis needs high accuracy, where minute errors in judgment may lead to loss therefore, brain tumor segmentation is an necessary challenge in medical side. In recent time numerous ,methods exist for tumor segmentation with lack of accuracy. Deep learning is used to achieve the goal of brain tumor segmentation. In this work, three network of brain MR images segmentation is employed .A single network is compared to achieve segmentation of MR images using separate network .In this paper segmentation has improved and result is obtained with high accuracy and efficiency. 04 30 2020 924 927 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3811.049620 https://www.ijitee.org/portfolio-item/F3811049620/ CSE, Ansal University, Gurugram, Haryana, India. Alpana Jijja* Dr. Dinesh Rai CSE, Ansal University, Gurugram, Haryana, India. To identify brain tumors at an early stage is a challenging task. The brain tumor is usually diagnosed with Magnetic Resonance Imaging (MRI). When MRI spectacles a tumor in the brain, the most common way of determining the type of brain tumor after a biopsy or surgery is to look at the results of a tissue sample. In this research to detect brain tumors faster and accurately the feature extraction techniques are used to segment the tumor affected area. One of such very effective technique of feature extraction measure is the Grayscale Co-occurrence Matrix (GLCM). This research focuses on the GLCM and Discrete Wavelet Transformation (DWT) technique to detect and label the tumor from an image based on the textures and categorizing it according to a tumor or non-tumor category. The convolutional neural network (CNN) uses these features to improve the accuracy to 91%. 04 30 2020 344 348 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3812.049620 https://www.ijitee.org/portfolio-item/F3812049620/ Department of Geography, Gauhati University, Guwahati, India. Sourav Chetia* Kasturi Borkotoky Department of Geography, Gauhati University, Guwahati, India. Sujata Medhi Department of Geography, Gauhati University, Guwahati, India. Pranab Dutta Department of Geography, Gauhati University, Guwahati, India. Manjil Basumatary Department of Geography, Gauhati University, Guwahati, India. This study is driven towards land use land cover (LULC) mapping and LULC change detection in Tinsukia district, India. LULC mapping and change detection provides land planner and environmental scientists a better understanding of the land surface processes occurring in a given landscape so that they can come up with a strategy for sustainable development keeping degradation of natural environment from anthropogenic activities at bay. This study utilized remote sensing data products and software’s for LULC mapping and LULC change. Landsat data has been utilized in ENVI for the classification of LULC and LULC change detection during the period 1991-2020. The LULC classification was achieved through Maximum Likelihood Classification (MLC) which is a widely preferred classificatory method. Image change detection was achieved through ENVI thematic change workflow. On top of that ArcGIS version 10.2 was used for preparing all map layouts. Results reveal that the study area has undergone significant changes in its LULC pattern. Substantial increases were recorded in agricultural area (862.4 sq. km to 1186 sq. km), built up area (473.4 sq. km to 699.5 sq. km) and waterbodies (81 sq. km to 146.7 sq. km). A declining trend was evident in degraded vegetation (772.2 sq. km to 274.3 sq. km) and barren land (798.8 sq. km to 641 sq. km). In the short study period, the study area already seems to be changing in its LULC pattern due to anthropogenic activities. The steady increases to the agricultural land and built up area (BUA) is a potential threat to the LULC balance and it may have manifold impacts to LULC dynamics in the future if proper land utilization policy is not adopted. 04 30 2020 502 506 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3814.049620 https://www.ijitee.org/portfolio-item/F3814049620/ Research scholar, Department of Geography, Gauhati University, Guwahati, India. Rekib Ahmed* The present study stated on an evaluation into the use of remote sensing technology and geographic information systems (GIS) integration to detect land use/cover trajectories in Hollongapar gibbon wildlife sanctuary in Assam, India. Remote sensing technology was used to utilize multi-temporal satellite imagery including Landsat TM (Themetic Mapper) and Landsat OLI (Operational Land Imager) data to perform LU/C change detection from the year 1986 to 2018. The results revealed significant and unequal land conversion in the region of study. The paddy fields and tea gardens in and around the 4 km buffer of the wildlife sanctuary had increased sharply during the period 1986-2018. Remote sensing and GIS integration has been found to be effective in tracking and analyzing trends of LU/C trajectories and assessing the effects of land conversion on biodiversity of the study region. 04 30 2020 806 810 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3816.049620 https://www.ijitee.org/portfolio-item/F3816049620/ Electrical and Electronics Engineering, Saranathan College of Engineering, Trichy, India. P. Ramesh Babu* A. Pradeep Electrical and Electronics Engineering, Saranathan College of Engineering, Trichy, India. P. Rajendra Prasath Electrical and Electronics Engineering, Saranathan College of Engineering, Trichy, India. R. Rishikesh kumar Electrical and Electronics Engineering, Saranathan College of Engineering, Trichy, India. J. Sharvin Electrical and Electronics Engineering, Saranathan College of Engineering, Trichy, India. Increasing cost in energy sector demands for structured use of energy. It is vital to understand the rate of energy consumption during specific period utilizing Energy Meters. Energy consumption can be measured using a traditional energy meter; however, their use is restricted in inaccessible areas or in occasion of poor visibility resulting in limited functionality. Also, the main drawback is that a person has to take readings area by area from every house and institute make it time consuming. We propose a Cloud based Wireless Energy Meter [1] which can send data via wireless communication (cloud computing) to a PC or mobile phones in the form of E-mails or mobile application notification or through web page; where surveillance and analysis of the data will be made. This computational system can be used to measure energy quantities of transformers and high voltage towers at remote locations, industries, domestic area, and institutions. 04 30 2020 1228 1231 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3817.049620 https://www.ijitee.org/portfolio-item/F3817049620/ (Pursuing M. Tech) Computer Science & Engineering, Jamia Hamdard University, New Delhi, India. Deepak Kumar Sharma* Dr. Samar Wazir Computer Science & Engineering, Jamia Hamdard University, New Delhi, India. Md. Tabrez Nafis Computer Science & Engineering, Jamia Hamdard University, New Delhi, India. Amit Kumar (Pursuing M. Tech) Computer Science & Engineering, Jamia Hamdard University, New Delhi, India. In the area of data mining for finding frequent itemset from huge database, there exist a lot of algorithms, out of all Apriori algorithm is the base of all algorithms. In Uapriori algorithm each items existential probability is examined with a given support count, if it is greater or equal then these items are known as frequent items, otherwise these are known as infrequent itemsets. In this paper matrix technology has been introduced over Uapriori algorithm which reduces execution time and computational complexity for finding frequent itemset from uncertain transactional database. In the modern era, volume of data is increasing exponentially and highly optimized algorithm is needed for processing such a large amount of data in less time. The proposed algorithm can be used in the field of data mining for retrieving frequent itemset from a large volume of database by taking very less computation complexity. 04 30 2020 2048 2052 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3824.049620 https://www.ijitee.org/portfolio-item/F3824049620/ Department Of Electrical And Electronics Engineering, Government College Of Engineering, Salem, India P.K Banushya* Dr. C Govindaraju Department Of Electrical And Electronics Engineering, Government College Of Engineering, Salem, India This paper presents a new battery charger for low power electric vehicles with high power factor and Efficiency. The main objective of the proposed design is to reduce the conduction losses and Reverse Recovery Problem in power diodes. To eliminate both the issues, the diode rectifier is present in primary and secondary side of the transformer an series resonance circuit added. By using the series resonance circuit, Zero Current Switching (ZCS) possible and also alleviates the reverse recovery problem. Thus the proposed new battery charger operates with high power factor and high efficiency. Additionally, by using the present single power conversion, it is easy to install the on-board charger in the EVs. After the theoretical analysis, Simulation Results are obtained on MATLAB/Simulink environment and Hardware results are from the proposed model. 04 30 2020 811 816 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3834.049620 https://www.ijitee.org/portfolio-item/F3834049620/ Pursuing Bachelor’s Degree, Sri Krishna College of Tech-nology, Coimbatore, TamilNadu, India. Arunima S* Kiruthika S Assistant Professor, Department of Computer at Sri Krish-na College of Technology, Coimbatore, Tamil Nadu, India. M. Aswin Raj Pursuing Bachelor’s Degree,. Sri Krishna College of Technology, Coimbatore, TamilNadu, India. K.Kavin Kumar Pursuing Bachelor’s Degree,. Sri Krishna College of Technology, Coimbatore, TamilNadu, India. S.Surya Prakash Pursuing Bachelor’s Degree,. Sri Krishna College of Technology, Coimbatore, TamilNadu, India. Machine learning in recent years has become an integral part of our day to day life and the ease of use has im-proved a lot in the past decade.There are various ways to make the model to work in smaller devices.A modest method to advance any machine learning algorithm to work in smaller devices is to provide the output of large complex models as input to smaller models which can be easily deployed into mobile phones .We provided a framework where the large models can even learn the domain knowledge which is integrated as first-order logic rules and explicitly includes that knowledge into the smaller model by simultaneously training of both the models.This can be achieved by transfer learning where the knowledge learned by one model can be used to teach the other model.Domain knowledge integra-tion is the most critical part here and it can be done by using some of the constraint principles where the scope of the data is reduced based upon the constraints mentioned. One of the best representation of domain knowledge is logic rules where the knowledge is encoded as predicates.This framework provides a way to integrate human knowledge into deep neural networks that can be easily deployed into any devices. 04 30 2020 507 509 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3845.049620 https://www.ijitee.org/portfolio-item/F3845049620/ Assistant Professor, Department of MCA, BMS Institute of Technology and Management, Affiliated to Visvesvaraya Technological University, Karnataka State, India Shivakumara T* Dwarakanath G V Assistant Professor, Department of MCA, BMS Institute of Technology and Management, Affiliated to Visvesvaraya Technological University, Karnataka State, India Dr. Chethan A S Professor, Dept. of Mathematics, BMS Institute of Technology & Management, Affiliated to Visvesvaraya Technological University, Karnataka, India Muneshwara M S Assistant Professor, Department of CSE, BMS Institute of Technology and Management, Affiliated to Visvesvaraya Technological University, Karnataka, India Mr. Anand R Assistant Professor, Department of CSE, BMS Institute of Technology and Management, Affiliated to Visvesvaraya Technological University, Karnataka, India Web Development is skill that is used to develop the web application, web development is rapidly growing as the technologies are also. A web developer should develop an application based on the client requirement and must be friendly and easily understood by the client or the users. AASTHI-Asset Administration System is the web application that is relevance to the asset management system in which plays typical role in the organizations and enables to computerized system widely spread which is used for the private network, communication between the members of an application, sharing the information between different users or members, automatically estimating the depreciation amount per annum is very important thing that has been focused on. The main theme of our paper AASTHI-Asset Administration System is to focus on the asset, license and to maintain the company environment. The procedure to calculate the depreciation amount of the asset is difficult and been estimated through the category of asset, asset type, asset devices, etc. In this paper work is focused on staff, vendor and allows them to communicate through the application called AASTHI which is Asset Administration System. 04 30 2020 817 821 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3853.049620 https://www.ijitee.org/portfolio-item/F3853049620/ Assistant Professor, Computer Science and Engineering. Garima Singh* Nishita Bisht UG student, ABES Institute of Technology, Ghaziabad , Uttar Pradesh, India Pravesh Bisht UG student, ABES Institute of Technology, Ghaziabad , Uttar Pradesh, India Prajjwal Singh UG student, ABES Institute of Technology, Ghaziabad , Uttar Pradesh, India. This paper represents the development strategies of Internet of Things based flood monitoring and alerting system with weather forecasting through open weather API. This project is based on the open source electronic platform i.e. Arduino. The Arduino Uno R3 is to be set up multiple different devices such as ultrasonic sensor for the water level detection by capturing the time between transmitting and receiving sound waves, temperature and humidity sensor DHT11/AM2302 for analyzing the moisture content and water flow sensor for evaluating the speed of water flow. Further, these values received by different sensors are to be transferred to the Android Application which is developed with the technologies such as Java, XML, Android studio. The final system will be deployed in the flood prone areas for early detection and prevention of flood. 04 30 2020 559 563 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3854.049620 https://www.ijitee.org/portfolio-item/F3854049620/ Assistant Professor, Department of Civil Engineering, Pillai HOC College of Engineering and Technology, Rasayani, Dist. Raigad - 410207, Maharashtra, India. Sandeep.V. Gujjar* Dr. Nandini R Nadar Assistant Professor, Department of Mechanical Engineering, B.M.S.Institute of Technology and management, Bangalore-64, Karnataka, India. Kanaram Chaudhary Civil and infrastructure engineering from Rustomjee Academy for Global Careers, Dahanu road (E) - 401602, Maharashtra, India Dr. Anand. M. Hunashyal Associate Professor, Department of Civil Engineering, Visvesvaraya Technological University, KLE Institute of Technology, Hubballi-580021, Karnataka, India. The motive of this research is to develop a new hybrid Nano composite on the surface of mild steel to eradicate the rate of corrosion that takes place on the surface of the mild steel and to enhance mechanical properties. For this, a hybrid Nano composite of Multi-Walled Carbon Nano Tube’s (MWCNT’s), Zinc Oxide (ZnO) Nano particles and Epoxy resin has been used to overcome the major disadvantage of mild steel which is corrosion. The mechanical property of mild steel is also increased. Ultra-sonication method is adopted for better dispersion of ZnO Nano particles and MWCNT’s. In this study, Ethanol is used for better dispersion. After applying the coating on the surface of newly developed Nano composite by using pneumatic gun spray method is used. FESEM was conducted to study the surface morphology of corroded surface of mild steel. The rate of anticorrosion and mechanical properties get improved by the application MWCNT’s/ZO Nano particles/Epoxy resin. 04 30 2020 1016 1024 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3859.049620 https://www.ijitee.org/portfolio-item/F3859049620/ Professor, Ramakrishna College of Arts & Science Coimbatore Dr. M. Hema Latha* S. Mahalakshmi Research Scholar, Bharathiar University,Coimbatore. Customer churn is an important issue which is faced by telecom industries daily. It is an essential concern for enterprises. Most of the telecom companies suffer a lot for voluntary churn. Here the churn rate is a significant impact for the industries on the lifetime value, and it affects the length of the service and also the revenue of the company. Because of the direct effect of the company revenue, especially in the telecom field, the companies are requesting to implement the development of predicting the potential customer to churn. Here the churn is an essential factor. Hence, analyzing the churn factor of increasing customer churn is as necessary as it is needed to reduce the churn. Recently telecom service facing the churn problem, for this analysis this research article focused on prediction of customer churn. In this research work, the main contribution is to develop a prediction model of churn, that supports the telecom operators to predict the customer, who is going to be churn. Here the model used is the Machine learning technique with the big data analysis. Our methodology used here is Peer Grading Regression (PGR). To provide a prediction of churn customer in telecom industries. To validate the performance of this proposed model, the Area under Curve (AUC) is used, and it is one of the standardized approaches. This model will be tested under some benchmark dataset; working on these vast datasets creates a transformation of raw data by telecom companies. The dataset values are provided for testing and training in the ensemble classifier. For experimentation, four algorithms are considered here: Peer Grading Regression (PGR), Random Forest, Decision Tree, and k-NN classifier. Moreover, the best outcomes are attained with the use of the boosting algorithm. Here this algorithm is applied for the classification of the churn prediction model. 04 30 2020 1025 1037 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3861.049620 https://www.ijitee.org/portfolio-item/F3861049620/ B.Tech Scholar, Department of Information Technology,GuruNanak Institutions Technical Campus,Ibrahimpatnam, Hyderabad, India. D. Rajesh* B. Srivastav B. Tech Scholar, Department of Information Technology, Guru Nanak Institutions Technical Campus,Ibrahimpatnam, Hyderabad, India. Dr. M.I. Thariq Hussan Professor and Head, Department of Information Technology, Guru Nanak Institutions Technical Campus,Ibrahimpatnam, Hyderabad, India. PC Networks and Internet has become acclaimed these days since it fulfills individuals with varying needs by giving assortment of perfect service. Computer Networks have reformed our utilization of PC. Debits, Purchasing from e-commerce and many other needful activities performed by a single click from our homes. In spite of the fact that it is an aid right now, likewise has its own dangers what's more, shortcomings as well. Enterprises need to tussle to give security to their systems and in reality not conceivable to offer a cent percent security because of the immaterial knowledge of hackers meddling into the network. This paper gives the idea of honeypots for securing the network of the different organizations which might not have custom intrusion detection system or firewalls. The proposed model shows the different techniques utilized by hackers and makes a log of all hackers exercises. Hence utilizing this log, the network can be kept from assailants. 04 30 2020 1911 1916 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3863.049620 https://www.ijitee.org/portfolio-item/F3863049620/ Dept. of Computer Science & IT, Amrita School of Arts and Sciences, Kochi, Amrita Vishwa Vidyapeetham, India. Sachin Kumar* Amal Ghosh T A Dept. of Computer Science & IT, Amrita School of Arts and Sciences, Kochi, Amrita Vishwa Vidyapeetham, India. Sreekumar K Dept. of Computer Science & IT, Amrita School of Arts and Sciences, Kochi, Amrita Vishwa Vidyapeetham,India The fundamental objective of this work is to develop an image processing framework that can perceive a proper methodology for ContentBasedImageRetrieval(CBIR) in Leaf Inadequacy. The salient point selection concept is utilized by selecting the Salient points from the edgy image and the concept of inter-plane relationship method is imposed, LocalBinaryPatterns (LBPs) are computed with respect to the center pixel of the salient point. The research work consists primarily of three sections, namely representation of the leaf image, extraction of features and classifying. During the extraction process of the application the most important and special features of the image are retrieved. The image is contrasted with the data base images in the classification phase. The surface of the plant leaf is divided into smaller regions using which the LBP is obtained and the combination of them produces a single feature vector. An accurate model is constructed by this feature vector which is used to measure differences between flawed and healthy plant images. 04 30 2020 510 512 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3866.049620 https://www.ijitee.org/portfolio-item/F3866049620/ Student, Department of ECM, KL Deemed to be Universi-ty, India S. Mounika* Kallakunta Ravi kumar Assistant professor,Department of Eectronics & Computer Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, India Emmela suneetha Assistant Professor,Departent of ECE, Bapatla Womens Engineering College, Bapatla,AP,INDIA M. Sindhu Vardhan Student, Department of ECM, KL Deemed to be Univer-sity, India In our daily life we can see so many road accidents are increasing daily especially the bike accidents are increasing more and more because of so many things like high speed,drunk and drive ,riders not using helmet ,using mobile while driving and due to the late of ambulance in all these cases riders are not tak-ing care of there lives and they are loosing there lives so we are going to introduce a "MULTI ACCESS HELMET" which will solve some of the above problems and we can reduce the accident rate by using this project. The essential purpose of this errand is to save a couple of presences of the people.This venture incorpo-rate a few sensors like gas sensor ,ultrasonic sensor and vibration sensor .the gas sensor is utilized to recognize the liquor taken by the rider on the off chance that the liquor level is more prominent than the limit, at that point the ringer will be on and furthermore the red light will likewise on which show the threat sign and the rider won't ready to where the cap right now, on the off chance that he isn't wearing the head protector, at that point the bicycle additionally won't begin . Ultrasonic sensor will perceive the thing if the article is recognized in the more drawn out partition, by then also the chime will on and the red drove is on, it shows the rider to wear defensive top right currently bike won't begin.Vibration sensor is utilized to detect the vibration if the bicycle contacts the ground the recurrence scope of vibration increments on the off chance that it builds, at that point the area of the vehicle is followed utilizing the gsm and the message is sent to closest emergency clinics utilizing gps module.. 04 30 2020 1038 1042 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3868.049620 https://www.ijitee.org/portfolio-item/F3868049620/ CSE Department, Koneru Lakshmaiah Education Foundation, Green Fields, Vaddeswaram, Andhra Pradesh. Subba Rao Gogulamudi* Vital Kumar Pinnela CSE Department, Koneru Lakshmaiah Education Foundation, Green Fields, Vaddeswaram, Andhra Pradesh. Lakshmi Sai Tejaswi Pathuri CSE Department, Koneru Lakshmaiah Education Foundation, Green Fields, Vaddeswaram, Andhra Pradesh. Ram Teja Borra CSE Department, Koneru Lakshmaiah Education Foundation, Green Fields, Vaddeswaram, Andhra Pradesh. In Big Data, Pattern Recognition and Consensus Clustering procedures have developing significance to the scholastic and expert networks. Today there is an extraordinary worry for ordering the information, as information in wrong classification implies incorrect data, which thus results wastage of resources and hurting the association. Example acknowledgment (PR) helps in maintaining a strategic distance from poor order of information by recognizing the right structure of information in dataset. Perceiving an example is the computerized procedure of finding the specific match and regularities of information, which is firmly identified with Artificial Intelligence and Machine Learning. PR goes about as an essential advance to give bunching since it examinations the structure and vector estimation of every character in dataset. Accord Clustering (CC) additionally called as bunching gatherings, assumes a critical job in arranging and keep up in any sort of information. This is a strategy that joins different bunching answers forget steady, precise and novel outcomes. Right now, actualize PR and CC strategies; we use MNIST dataset which is an enormous database of transcribed digits that is regularly utilized for preparing different frameworks in the field of Machine Learning. 04 30 2020 2263 2267 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3879.049620 https://www.ijitee.org/portfolio-item/F3879049620/ pursuing Master of Computer Applications in Department of Computer Science,GIS, GITAM (Deemed to be University), Viskahapatnam, India, Poonam Kumari* S Prasad Babu Vagolu Assistant Professor in Department of Computer Science, GIS, GITAM (Deemed to be University), Viskahapatnam, India Sunil Chandolu Assistant Professor in Department of Computer Science,GIS, GITAM (Deemed to be University), Viskahapatnam, India Human freedom index refers to the state of human freedom in various countries based their personal and economic attributes. Human freedom can help us identify nobility of citizens in a country. For an individual of a country freedom is of great value and hence it is worthy to measure. Though there are many attributes to measure the human freedom index both in personal as well as in economic factors, here we are interested to find only those features which contribute the most and are relevant to predict the outcome i.e. human freedom index score. We will go through various features engineering process like removing strongly correlated attributes, filtering method using Mutual Information (Entropy) and then use Select KBest algorithm to select top features filtered through Mutual information. These steps will help reduce the training time, increase accuracy and reduce overfitting when model is created to predict the human freedom index score which is a Machine Learning Regression problem. 04 30 2020 750 753 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3881.049620 https://www.ijitee.org/portfolio-item/F3881049620/ ECE Department, DCRUST, Murthal Rajni* Pawan Kumar Dahiya ECE Department, DCRUST, Murthal Now-a-days, there is a growing demand for image processing. The target of image enhancement is to find details present in images having low luminance for better image quality. Enhancement is required to improve the picture quality. In this process, we can enhance an image, by applying the suitable technique. In enhancement, there is a conversion in image contrast, quality, color vision, brightness, clarity etc. So we need image enhancement. A comparative survey is carried out in this paper, explaining traditional and soft computing techniques. This paper clarifies a study of traditional such as edge detection of an image and fuzzy logic based soft computing for improvement of an image. In the result section output of image is shown as edges using traditional as well as fuzzy. A small description is also study for picture improvement using different soft computing and optimization techniques such as Neural network, Convolution Neural Network, Ant Bee Colony, Particle Swarm Optimization etc. in literature survey and in comparative table. It is concluded that Image enhancement can be done by traditional method, soft computing and optimization method. Image enhancement has found various vision applications that have the ability to enhance the visibility of images. To enhance an image it is very important that image should be clear, so before using the enhancement techniques we should need to learn about the enhancement. So this paper described a survey of image enhancement with different techniques. In future scope of this paper we can find out different type of parameters like PSNR, MSE and execution time, also we can use optimization technique. We are also showing a comparison table of image enhancement based on traditional, soft computing and optimization techniques with its open scope. 04 30 2020 928 936 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3884.049620 https://www.ijitee.org/portfolio-item/F3884049620// Associate Professor, Department ECE, NMIT Blore. Dr. Madhu Patil* Dr. goutham M.A Professor and Head of Department, Department of ECE, AIT, Chickmagalur. The nodes are often placed in a hostile or dangerous environment so WSN will be vulnerable to security attacks. Attacks can be active or passive. Passive attack involves unauthorized attackers who listen to the communication channel and monitor its activities. In active attack, the unauthorized attacker’s listens, monitors and alters the data passing through the communication channel. To address security concerns, cryptography approach has been adopted but this alone cannot cope with some of the routing attacks. As sensor devices are resource constrained, existing cryptography approach may not be applicable, due to the computational complexities that it involves [1] [3]. Hence, author present energy efficient trust based routing strategy, which is a viable alternative for WSN. 04 30 2020 1292 1295 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3888.049620 https://www.ijitee.org/portfolio-item/F3888049620/ Assistant Professor, School of Computing, Department of Computer Science and Engineering, Vel tech university, Avadi. Dr.P. Durgadevi* Dr. T. Veeramakali Assistant Professor, School of Computing, Department of Computer Science and Engineering, Vel Tech University, Avadi. Ms. M. Sherine Glory Assistant Professor, Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai. Theoretical Energy imperative in remote sensor systems has gotten an expanding research enthusiasm for late years. Radio abnormality, channel blurring and obstruction brings about bigger vitality utilization and inertness for packets transmission over remote channel. One late innovation that can possibly drastically increment the channel limit and lessen transmission vitality utilization in blurring channels is helpful correspondence. The expansion in the direct limit brings about diminished blunder rate. In this paper, one agreeable correspondence method is proposed by developing vitality effective sending and getting bunches for each jump. It comprises of two stages to be specific routing stage, selecting and-transmitting stage. In the routing stage, the underlying way between the source and the sink hubs is found. In the second stage, the hubs on the underlying way progress toward becoming group heads, which select extra contiguous hubs with most minimal vitality cost from their neighborhood then the bundle is transmitted from the sending bunch to the recently settled accepting bunch. The recreation comes about demonstrate that the decrease in mistake rate and the vitality funds convert into expanded lifetime of helpful systems. 04 30 2020 754 758 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3889.049620 https://www.ijitee.org/portfolio-item/F3889049620/ Assistant Professor, School of Computer Science and Engineering, Lovely Professional University, Punjab. Manik Rakhra* Mandeep Kaur Pursuing M. Tech in School of Computer Science and Engineering, Lovely Professional University, Punjab. Jimmy Singla Associate Professor, School of Computer Science and Engineering at Lovely Professional University, Punjab. Breast Cancer is one of the diseases where females have the highest mortality rate. Early detection is the way to diminishing the rate and helps increase the lifespan of suffering patients. Mammography is the method of using low energy X-rays for examination and screening the human breast. A team of radiologists required for the analysis of mammograms, but even experienced experts can misjudge in their evaluation.so Computer-Aided Detection (CAD) systems are having more pervasive for the purpose. There are various abnormalities, including micro-calcifications, are identified from mammograms. This study takes a look at all techniques that are helpful in detecting calcification. Several works of literature have been reviewed to explore and learn the outstanding way in different cases and situations for the sensing of classification in cancer of breast. 04 30 2020 945 949 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3891.049620 https://www.ijitee.org/portfolio-item/F3891049620/ Professor, Department of Information Technology, PVPSIT, Vijayawada, AP, India. Dr. J. Rajendra Prasad* Dr. S. Sai Kumar Assistant Professor, Department of Information Technology, PVPSIT, Vijayawada, AP, India. Dr. T. Santhi Sri Associate Professor, Department of CSE, KL University, Vijayawada, AP, India. Finding out the vulnerability of each district in the state of Andhra Pradesh for determining which districts are at risk and which districts are in safe for livelihood. Based on nine important factors such as crop yield, employee, literacy, livestock, population, rainfall, roads, and social along with sub factors associated with them we can obtain efficient results. Based on these we can determine the vulnerability scores for each district and find out best and worst districts. Further we can develop the vulnerable district by using suitable measures. Also we must find out the most impacting attributes on the final score so that those attributes can also be considered for reducing the risk of livelihood associated with a district. 04 30 2020 349 354 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3892.049620 https://www.ijitee.org/portfolio-item/F3892049620/ Assistant Professor (S.G), Dept. of Civil Engineering, SRM Institute of Science and Technology, Chennai-600089, India M. Jothilingam* Pratheeba Paul Professor, Dept. of Civil Engineering, Hindustan Institute of Technology and Science, Chennai-603103, India G. Janardhanan Associate Professor, National Institute of Technical Teachers Training and Research, Chennai-600113, India At global level, the India has amassed the largest livestock and their skins and hide are used for the manufacture of large scale leather and 75% of tanneries in India are the small scale tanneries. The leather industry in India with annual turnover of more than 12 Billion dollar has a cumulative annual growth of about 3.09% in the last five years and 2nd highest manufacture of footwear and garments in the entire world, which leads to foreign exchange. Tannery sludge generation about 150000 TPA causes chromium pollution and contaminates water bodies & soil and risk to eco-system. Further, that affects the agricultural productivity and therefore, Tannery has been classified under the red category. The Supreme Court finding of fact resulting in the closure of polluting tanneries has led to unemployment problem and affecting national GDP. The present tannery sludge disposal methods like Composting, landfill, anaerobic digestion systems are not providing the satisfactory result. Reuse of industrial waste is advocated worldwide and in some of the countries as a remedial measure solidification and stabilization concept is adopted for reducing heavy metals from industrial waste. In this review the outcome of various research on the properties natural clay, ceramic and cement based stabilization of the tannery sludge has been discussed and the research gap is also identified . 04 30 2020 699 703 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3893.049620 https://www.ijitee.org/portfolio-item/F3893049620/ Department of Mechanical Engineering, ITM University Gwalior Rajendra Singh Rajput* Anshul Gangele Department of Mechanical Engineering, Sandip University, Nashik (India) Arun Singh Kushwah Department of Mechanical Engineering, ITM University Gwalior This research paper tends to have an insight into the dynamics of cam and tappet of diesel engine which is supposed to work continuously for a longer period under huge variable loads to operate the valves of an internal combustion engine. The dynamics of valve gear train is so elemental in the due functioning of an engine. In this research, the analysis of five-order polynomial cam has been done to find the profile of displacement, velocity, acceleration and jerk for the suitability of diesel engines. The MATLAB software has been used as the vital aid in this analysis. This insight would sure be helpful in improving the mechanism of cam profile generation leading to betterment of camshaft design so as to increase the overall efficiency of the engine. 04 30 2020 759 762 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3897.049620 https://www.ijitee.org/portfolio-item/F3897049620/ Assistant Professor, CSE, JNTUH, MGIT, Hyderabad, India. Shyam Sunder Pabboju* G.Nagi Reddy Assistant Professor, CSE, JNTUH, MGIT, Hyderabad, India P.Satya Shekar Varma Assistant Professor CSE, JNTUH, MGIT, Hyderabad, India. K.Nikhil Kumar student, CSE, JNTUH, MGIT, Hyderabad. There is a strong trend towards cloud technologies in the SME(Small and Medium Enterprises) sector, largely due to cost reduction, capex availability, and sometimes by collaboration features. Now a days so many startup companies are getting emerged and for them buying the resources for one time usage it becomes more expensive so they are preferring to using the cloud services(SLA) to overcome all this problems. In Cloud computing it essential to check weather a resource is available for allocating or not and allocating the jobs for the clients request is the big task. There are many job scheduling algorithm already proposed by the researchers to implement in cloud environment. After studying there algorithm we have came up with the most effective job scheduling algorithm. It is totally depending on Size and Arrival time of the job. By implementing our proposed algorithm we can obtain the better optimal solution to improve the overall performance of the system and gives more effective results compared to other job scheduling algorithms. 04 30 2020 2236 2239 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.F3901.049620 https://www.ijitee.org/portfolio-item/F3901049620/