-5171ffc0182b6af927f-60e0 20220916081935891 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 07 30 2019 8 2 Electronics and Communication Engineering, Saveetha School of Engineering (SIMATS) , Chennai , India. Presely Rajakumar Bhuvaneswari Balachander Electronics and Communication Engineering, Saveetha School of Engineering (SIMATS) , Chennai , India. The Proposed work deals with the synthesis and the characterization of transition metal doped ZnO composite for energy application. Synthesis of composite is done by combustion method and characterization is performed to identify the size of the particle, composition, morphology, electronic, optoelectronic and magnetic properties. The expected outcome of this research is to identify a Nobel composite material with higher power conversion efficiency and can be used as an optical spacer in a photovoltaic device. It covers the synthesis demonstration and the various characterizations done to come to a conclusion on how the composite mixture can be utilized 07 30 2019 953 958 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1733.078219 https://www.ijrte.org/portfolio-item/B1733078219/ Dept. of Electronics and Communication, CMS College of Engineering and Technology ,Coimbatore,India. Mayilsamy M Srinivasan K Dept. of Electronics and Instrumentation Engineering, Sri Ramakrishna Engineering College, Coimbatore, India. Dr.B. Sharmila Assistant Professor (Sr.G) in the Department of Electronics and Instrumentation Engineering at Sri Ramakrishna Engineering College, Coimbatore This work depends on another methodology for limiting vitality utilization in semi static vitality recuperation rationale of Modified Quasi Static Energy Recovery Logic (MQSERL) circuit which includes enhancement by expelling the non-adiabatic misfortunes totally. Vitality recouping hardware dependent on adiabatic standards is a promising system driving towards low power superior circuit plan. The productivity of such circuits might be expanded by lessening the adiabatic and non-adiabatic misfortunes drawn by them amid the charging and recuperation tasks. In this paper, execution of the proposed rationale style is broke down and contrasted and CMOS in their agent inverters, entryways, flip- flop and snake circuits. Every one of the circuit was reproduced by test system of TANNER TOOL in 0.18μm innovation. In our proposed inverter the vitality proficiency has been enhanced to practically 30% and 20% up to 20MHz and 20fF outside load capacitance in contrast with CMOS and MQSERL circuits individually. Our proposed circuit gives vitality proficient execution up to 100 MHz and in this way it has ended up being utilized in superior VLSI hardware. 07 30 2019 1896 1906 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1736.078219 https://www.ijrte.org/portfolio-item/B1736078219/ Associative Professor in CSE, Department,Vignans Institute of Information Technology,Visakhapatnam. Dr. E Laxmi Lydia Dr.N. Sharmili Associate Professor in CSE Department, Gayatri Vidya Parishad College of Engineering for Women, Viskahpatnam, Andhra Pradesh,India. Dr. T V Madhusudhanarao Professor in CSE Department,Vignans Institute of Information Technology,Visakhapatnam. Madhu Babu Chevuru Asst. Professor,Department of Computer Science Engineering,VFSTR deemed to be University. K.Vijaya Kumar Associate Professor, Department of Computer Science Engineering, Vignan's Institute of Information Technology for Women, Andhra Pradesh, India. Hadoop &BigData Analytics course has occupied a ubiquitous role in present software technologies. Educational institutes are fond of this course as it’s been trending course most of the placements in software companies are based on. As per the traditional teaching mechanisms, the educational systems are not much up- to- mark where the students are not assisted with the course resulting in atrocious placements. Therefore to enhance this placements, institutions has to adopt a new integrated teaching- learning proceedings which help in drastic change of academic results discussed in this paper. Here the result analysis of course attainments are compared to show the eye-catching improvements as occurred in VIIT College. 07 30 2019 1159 1163 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1739.078219 https://www.ijrte.org/portfolio-item/B1739078219/ Associate Professor, Department of Computer Science Engineering, Vignan's Institute of Information Technology,Andhra Pradesh, India. E. Laxmi Lydia Dr. B. PRASAD Professor, Department of Computer Science Engineering, Vignan's Institute of Information Technology,Andhra Pradesh, India. Gogineni Hima Bindu Asst. Prof., MCA, Vignan’s Institute of Information Technology(Autonomous), Visakhapatnam, India. K. Shankar Assistant Professor,School of Computing,KalasalingamUniversity,Krishnankoil, – 626126, Tamil Nadu, India. K.Vijaya Kumar Associate Professor, Department of Computer Science Engineering, Vignan's Institute of Information Technology for Women, Andhra Pradesh, India. Digital data has been accelerating day by day with a bulk of dimensions. Analysis of such an immense quantity of data popularly termed as big data, which requires tremendous data analysis scalable techniques. Clustering is an appropriate tool for data analysis to observe hidden similar groups inside the data. Clustering distinct datasets involve both Linear Separable and Non-Linear Separable clustering algorithms by defining and measuring their inter-point similarities as well as non-linear similarity measures. Problem Statement: Yet there are many productive clustering algorithms to cluster linearly; they do not maintain quality clusters.Kernel-based algorithms make use of non-linear similarity measures to define similarity while forming clusters specifically with arbitrary shapes and frequencies. Existing System:Current Kernel-based clustering algorithms have few restraints concerning complexity, memory, and performance. Time and Memory will increase equally when the size of the dataset increase. It is challenging to elect kernel similarity function for different datasets. We have classical random sampling and low-rank matrix approximation linear clustering algorithms with high cluster quality and low memory essentials. Proposed work: in our research, we have introduced a parallel computation performing Kernel-based clustering algorithm using Particle Swarm Optimization approach. This methodology can cluster large datasets having maximum dimensional values accurately and overcomes the issues of high dimensional datasets. 07 30 2019 4753 4756 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1740.078219 https://www.ijrte.org/portfolio-item/B1740078219/ Department of Computer Science, Pondicherry University, Puducherry, India. S. Sharmiladevi S. Siva Sathya Department of Computer Science, Pondicherry University, Puducherry, India. Naveen Kumar Department of Computer Science and Engineering, KL University, Guntur , India. Data about entities or objects associated with geographical or location information could be called as spatial data. Spatial data helps in identifying and positioning anyone or anything globally anywhere across the world. Instances of various spatial features that are closely found together are called as spatial co-located patterns. So far, the spatial co-located patterns have been used only for knowledge discovery process but it would serve a wide variety of applications if analyzed intensively. One such application is to use co-location pattern mining for a context aware based search. Hence the main aim of this work is to extend the K-Nearest Neighbor (KNN) querying to co-located instances for context aware based querying or location-based services (LBS). For the above-said purpose, co-located nearest neighbor search algorithm namely “CONNEKT” is proposed. The co-located instances are mapped onto a K-dimensional tree (K-d tree) inorder to make the querying process efficient. The algorithm is analyzed using a hypothetical data set generated through QGIS. 07 30 2019 1164 1171 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1741.078219 https://www.ijrte.org/portfolio-item/B1741078219/ Assistant Professor, Mallareddy Institute of Technology, Secundrebad, India. N. Soumya Kayam Sai Kumar Research Scholar, Guntur, KLEF, (A.P) India. K. Raghava Rao Professor, Guntur, KLEF, India. S. Rooban Associate Professor, KLEF University, (A.P) India. P. Sampath Kumar Professor, Mallareddy Institute of Technology, India. Gurram Narendra Santhosh Kumar Research Scholar, KLEF, (A.P) India. In the electronics sector, in particular digital signal processing (DSP), picture processing or even math systems in microprocessors, a quick as well as effort modifier is often required. Multiplier really is an significant component that significantly adds to the system's complete energy usage. In VLSI, multipliers of different bit-widths are often needed from computers to particular embedded systems for implementation. To be that much further energy than supplementary TTL, logic type similarities relying on complete CMOS devices have currently been revealed. The most significant but also commonly adopted metrics of evaluating delay, energy dispersion and region of multiplier layout performance. 07 30 2019 1172 1177 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1742.078219 https://www.ijrte.org/portfolio-item/B1742078219/ Research Scholar, Maulana Azad National Institute of Technology (MANIT), Bhopal-462003, India. S.S. Kushwaha Dr. N. Dindorkar Professor Maulana Azad National Institute of Technology (MANIT), Bhopal-462003, India. Dr. D. Kishan Associate Professor, Maulana Azad National Institute of Technology (MANIT), Bhopal-462003, India. Black Cotton (BC) soil is one of the problematic soil deposits in India. These soils are problematic due to their poor engineering properties and high shrinkage and swelling properties due to high affinity to water. This paper, explore stabilization of Black cotton soil having poor strength characteristic and high shrinkage and swelling characteristic, with Class F Fly Ash (FA) to verify its scope for use as soil sub-base construction material. Fly ash is a good soil stabilizing additive in alone or along with other additives. It improves the index and engineering properties of Black cotton soil as verified from previous research work. In this research work, a Laboratory experimental program was planned with Fly ash, variation from 0% to 50% and humid curing period varies from 0 to 28 days. In the first stage of the experiment, Atterberg’s limits and compaction test have performed on Black cotton soil with all mixture and found their respective Optimum Moisture Content (OMC) and Maximum Dry Densities (MDD). In the second stage of the experiment, UCS and CBR tests were carried out for immediate, 7, 14, 28 and 45 days curing periods. The Atterberg’s limits, OMC, MDD, UCS, and CBR of Fly ash stabilized Black cotton found much satisfactory at 20% FA and 28 days curing period. CBR and UCS value get increments of 77.91% and 83.45% respectively. From the physicochemical analysis through X-Ray Diffraction (XRD) and Scanning of Electron Microscope (SEM), it was noticed That enhancement of strength is due to the pozzolanic reaction which causes the formation of new crystalline mineral of Alumino-Silicate-Hydrates (ASH) and Calcium- Alumino-Silicate-Hydrates(CASH) in void space of the matrix. 07 30 2019 616 623 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1743.078219 https://www.ijrte.org/portfolio-item/B1743078219/ Associate Professor, Department of Mechanical Engineering, Narayana Engineering College, Gudur, affiliated to JNTUA, Anantapuram, Andhra Pradesh, India Srinivas Viswanth Valeti Nagarjuna Kumma Assistant Professor, Department of Mechanical Engineering, Vignan’s Lara Institute of Technology and sciences, affiliated to JNTUK, Kakinada, Vadlamudi, Andhra Pradesh, India Avinash Mutluri Assistant Professor, Department of Mechanical Engineering, St’marys Women's Engineering College, Guntur, Andhra Pradesh, India Borgore Venu Research Scholar, Department of Mechanical Engineering, Vignan's Foundation for Science, Technology & Research, Vadlamudi, Guntur, Andhra Pradesh, India The present energy scenario hydrogen fuel plays a dominant role in the power generation. Due to its unique characteristics of an extensive range of flammability, high flame speed, and diffusivity. In this present investigation, the diesel engine is converted into dual-fuel mode devoid of major conversions of the engine. The tests are performed on a dual-fuel mode and investigated the efficiency, emissions, and combustion features of the diesel engine. In the present context, hydrogen and biogas are injected from the inlet manifold as subsidiary fuel and diesel are injected as pilot fuel. The gaseous fuel injected in two different flow rates they are, 3 litres per minute (lpm), and 4lpm. The results from the experimentation revealed that the diesel with 4 lpm of hydrogen shows the 31.11 % enhancement of brake thermal efficiency but it shows 4.14% higher NOX emissions when compared with the pure diesel. But it shows. At the same time diesel with 4 lpm of Biogas exhibits 15.90% enhancement of brake thermal efficiency and 8.96% decrease in the NOX emissions in contrast to that of the single-mode of fuel with diesel. 07 30 2019 1902 1905 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1749.078219 https://www.ijrte.org/portfolio-item/B1749078219/ research scholar in Ph.D in JNTU, Hyderabad. India. Mr. K. Sathish Kumar Dr. Basavaraja Banakara senior IEEE member. He completed his B.Tech (EEE) Degree, Gulbarga University and M.Tech, Karnataka University, India. Dr. B. V. Sanker Ram B.E (EEE) Degree, OU campus and M.Tech, OU campus, Hyderabad, India. In Real-time applications like measurement noise in distributed power system. From model of Gaussian frequently deviates or unknown are obtained and estimated in terms of impulse pulse of noise. Under such situations, the efficiency behavior changes. State estimation (SE) methods which are conventional which have both measured and estimated values with the noise consideration is greatly depleted. In this paper, state estimation methods are used in power systems to reduce the error and noise either in two stages of operation. To achieve a linear property of the estimated output by using adjustment of weights and its measurements. The estimator considers the limits and statistical data with a good efficiency even with and without noise effects and disturbances. Tu understand the behavior of SE methods, IEEE test bench of 14-bus and 30- buses are considered. the results are simulated in MTALAB-SIMULINK environment. Index Terms: Load flow study, IEEE 14 and 30 Bus systems, Statistics, GM-estimator, MATLAB, M file. 07 30 2019 1178 1183 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1753.078219 https://www.ijrte.org/portfolio-item/B1753078219/ Assistant professor, Department of computer science and engineering at MVJ College of engineering, Bangalore, India. Mr. Mohemmed Yousuf R Mr. Karthick Myilvahanan J Assistant professor, Department of computer science and engineering at MVJ college of engineering, Bangalore, India. K. Sindhanaiselvan Bachelor of Technology in Information Technology, Master of Engineering Degree in Computer Science from the Anna University, Chennai, India. Dr. Mannar Mannan J Associate Professor, Department of information science and engineering, MVJ College of Engineering, Bangalore, India. A convenient two factor (2f) authentication is used in smart card password verification. Thus, the two factors are “dynamic ID-based” or “anonymous”. To preserve user privacy, a tamper resistant security feature used in smart cards. Reverse engineering and power analysis techniques were used to reveal some sensitive information from the smart card memory. The smart card verification is securely implemented in memory than in the database that can be easily attacked by any person. A day to day application such as e-banking, e-health and e-governance maintains password tables on server. During login process user identity is transmitted as clear over public networks. Various non-tamper resistant schemes on OTP put forward but claim to be ambitious in design process. Truly a 2f scheme can make sure that the user whoever possess a valid OTP and password can be authorized by the server. 07 30 2019 959 963 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1756.078219 https://www.ijrte.org/portfolio-item/B1756078219/ Assistant Professor, Department of Electrical & Electronics Engineering, SRM Institute of Science and Technology, India S. Shanmugapriya Geethanjali Assistant Professor, Department of Electrical & Electronics Engineering, SRM Institute of Science and Technology, India Suryakanta Swain UG student. B Tech EEE in SRM Institute of Science and Technology, Kattankulathur, India. Devesh Goel UG student, B Tech EEE in SRM Institute of Science and Technology, Kattankulathur, India. Harshavardhan Goud UG student. B Tech EEE in SRM Institute of Science and Technology, Kattankulathur, India. In this paper, low current pressure and high productivity with diminished components have been used to get high step down gain. A single-staged switched inductor Cuk converter is used for correcting the power factor, Different parts of the proposed converter are analyzed in continuous current mode (CCM). Operational analysis and design equations are analyzed. The performance analyses of the proposed converter concerning power quality such as voltage total harmonic distortion (THD), current THD and complete power factor are done with different kinds of load, for example, resistive load and battery load at constant voltage (CV) and constant current (CC). It is utilized to drive a DC motor at variable speeds with the assistance of a PIC microcontroller. 07 30 2019 1906 1909 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1758.078219 https://www.ijrte.org/portfolio-item/B1758078219/ U & P U. Patel Department of Computer Engineering, CSPIT, Charotar University of Science and Technology, Anand, India Priyanka Patel Dr. Amit Thakkar Depoartment of Information Technology, CSPIT, Charotar University of Science and Technology, Anand, India. Detection of Anomaly is of a notable and emergent problem into many diverse fields like information theory, deep learning, computer vision, machine learning, and statistics that have been researched within the various application from diverse domains including agriculture, health care, banking, education, and transport anomaly detection. Newly, numbers of important anomaly detection techniques along with diverseness of sort have been watched. The main aim of this paper to come up with a broad summary of the present development on detection of an anomaly, exclusively for video data with mixed types and high dimensionalities, where identifying the anomalous behaviors and event or anomalous patterns is a significant task. The paper expresses the advantages and disadvantages of the detection methods the experiments tried on the publically available benchmark dataset to assess numerous popular and classical methods and models. The objective of this analysis is to furnish an understanding of recent computer vision and machine algorithms methods and also state-of-the-art deep learnings techniques to detect anomalies for researchers. At last, the paper delivered roughly directions for future research on an anomalies detection. 07 30 2019 964 970 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1759.078219 https://www.ijrte.org/portfolio-item/B1759078219/ Assosiate professor, Department of PhD, Lovely Professional University, (Punjab) India. Dr. Pretty Bhalla Dr. Afroze Nazneen Department of PhD, University of Jeddah, Jeddah, Makkah, Saudi Arabia. India is a developing country, which is bifurcated into Rural and Urban India. Strong contrast can be seen in environmental development and thought process of individual dwelling in these areas. The current study aims to reflect the real and worrisome situation of rural parts of this country where the conditions are becoming more horrid because of free availability and consumption of Drugs and alcohol. This research suggests some measures to eradicate the mentioned conditions. 07 30 2019 2398 2400 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1760.078219 https://www.ijrte.org/portfolio-item/B1760078219/ Computer Engineering, JSPM’s Rajarshi Shahu College of Engineering, affiliated to Savitribai Phule Pune University, Pune, India. Prof. Rushali A. Deshmukh Mr. Suraj Kore Computer Engineering, JSPM’s Rajarshi Shahu College of Engineering, affiliated to Savitribai Phule Pune University, Pune, India. Ms. Namrata Chavan Computer Engineering, JSPM’s Rajarshi Shahu College of Engineering, affiliated to Savitribai Phule Pune University, Pune, India. Ms. Sayali Gole Computer Engineering, JSPM’s Rajarshi Shahu College of Engineering, affiliated to Savitribai Phule Pune University, Pune, India. Mr. Kumar Adarsh Computer Engineering, JSPM’s Rajarshi Shahu College of Engineering, affiliated to Savitribai Phule Pune University, Pune, India. Poem a piece of writing in which the expression of feelings and ideas is given intensity by particular attention to diction (sometimes involving rhyme), rhythm, and imagery. It is used for showing different views. Every poet writes a poem with a different intention and different views. In the proposed system we have classified the poem according to its sentiments by using words of different categories. Machine learning algorithm SVM classifier is used for differencing the class of the poem. This system also enables the user to search the poem based on the poet name and poet type. For 341 poems of five categories 'Friend', 'Prem', 'Bhakti', 'Prerna' and 'Desh' accuracy achieved is 93.54%. 07 30 2019 2723 2727 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1761.078219 https://www.ijrte.org/portfolio-item/B1761078219/ Computer Science and Engineering, Panimalar Engineering College, Chennai, India, Tamil Nadu. S.A.K. Jainulabudeen Dr. S. Murugavalli Computer Science and Engineering, Panimalar Engineering College, Chennai, India, Tamil Nadu. H. Shalma Computer Science and Engineering, Saveetha School of Engineering, Chennai, India, Tamil Nadu In today’s dynamic lifestyle, with people not prioritizing hygiene as an essential entity, they tend to get more easily prone to skin diseases. As a result, it has become highly significant to devise an automated mechanism which helps users to predict a disease using simple methodologies such as input in the form of images. In our case we have used Convolutional Neural Networks to diagnose the same. The disease prediction system uses simple methodologies including taking user input in the form of images, which aids in providing more accurate results. As the concept used is Convolutional Neural Network (CNN), the system not just analyses the input and predicts the disease based on it, but also guesses the nearest possible result based on its feature and adds that record to that class of disease for future predictions. Over a longer period of time, this majorly helps in preventing hazardous skin diseases from causing widespread damage, as spreading of skin diseases is highly rapid and difficult to control, the ultimate aim through this project is to overcome the above limitations and help create awareness amongst people on skin diseases, which happens to be a growing concern in the near future. 07 30 2019 989 993 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1762.078219 https://www.ijrte.org/portfolio-item/B1762078219/ Department of Computer Science and Engineering, Chandigarh University, India. Kriti Urvashi Garg Department of Computer Science and Engineering, Chandigarh University, India. The content of the natural scenes needs to be interpreted which is the primary concern in computer vision. In the advancement of the systems focusing on the intelligent image understanding, the most powerful key is the degree to which meaningful information is extracted by the computer. Moreover with this advancement in the field of image processing, precise and huge information capturing images are desired. The hyperspectral images find its place in such fields of applications. For a single scene, the hyperspectral images (HSI) are composed of hundreds of channels of spectral data. For different materials, with the availability of detailed spectral information, hundreds of contracted bands are collected by hyperspectral sensors. However, with the dimensional complexity, its impact varies from field to field. We reiterate our main focus in this article on providing the various challenges existing relating to HSI and a case study of the current solutions provided for each. A clear depiction of the current issues and approaches in the field of compression as well as some general issues are also discussed towards the end section. 07 30 2019 1023 1038 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B1763.078219 https://www.ijrte.org/portfolio-item/B1763078219/