-3dc97f3d182b6b0ed3d-77e2 20220827025246011 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 Research Scholar, Department of CSE KLEF, Guntur, Vijayawada, AP, India. Rajiv Bhandai Dr. K. Raja Sekhar Professor, Department of CSE KLEF, Guntur, Vijayawada, AP, India. In wireless sensor network energy consumption is the recent research trend. Sleep scheduling and clustering of nodes in mobile environment are two different approaches adopted to elongate the life of network. In this paper Mobility Aware Clustering routing algorithm (MACRON) is proposed by integrating two challenging approaches. In the sleep scheduling approach, the node takes the decision for their states independently in decentralized manner. Using this reward based approach; the node decides its own current state (sleep, wake, idle) and it also predict the state of neighbors without communicating with neighbors. The performance improvement of sleep scheduling algorithm is significant but, to enhance performance it should be integrated with clustering approaches. To support the mobility in wireless sensor network various MAC protocol has been proposed, but they consume huge energy for data transmission. The proposed MACRON algorithm works efficiently in both mobile and stationary network. The performance of proposed algorithm gives decent outcome in varying size of nodes ranging from 10 to 40 in ns-2. 07 30 2019 76 85 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1368.078219 https://www.ijrte.org/portfolio-item/A1368058119/ Scholar, Department of Mathematics, Kottayam Institute of Technology and Science, Coimbatore, (Tamil Nadu), India. Mrs J. Jansi Dr. P. Jegathambal Professor, Karunya University. Dr. S. Devaraj Arumainayagam Associate Professor, Department of Statistics, Government Arts College, Coimbatore. Water is a highly complex environmental system; its protection cannot be met by traditional methods. As a part of the process, it is mandatory to evaluate the parameters of ground water so as to pursue suitable treatment. These days’ data mining algorithms have been developed to handle various data-rich environmental problems. In data mining, several techniques such as complex non-linear science, soft computing techniques, clustering and association have been applied in the domain of ground water quality assessment and evaluation in and around Coimbatore District. In this work, the statistical cluster analysis methods and association rule mining techniques were used to identify the spatial distribution of different cluster of wells having similar characteristics and determine the relationship between different water quality variables. The water quality assessment in Coimbatore was done using 13 parameters, namely NO3 - , TDS, Mg2+, Ca2+, Na+ , Cl- , F- , SO4 2- , EC, pH and Hardness including location in different sites. The main objective of the present study is to assess the performance of various clustering algorithms of WEKA and identify the most suitable algorithm for clustering water quality samples. K-Mean algorithm and centroid method of Hierarchical clustering performed in the similar manner in clustering. In addition to that, this study focused on identifying the water quality parameters exceeding permissible limits that occur together (TDS, Mg2+, SO4 2- , EC, hardness) in the given samples using Association Algorithms. The performance and efficiency of different association algorithms like Apriori and Frequent Pattern Growth algorithm was evaluated by factors like support, confidence, lift, leverage and conviction values. 07 30 2019 177 185 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1377.078219 https://www.ijrte.org/portfolio-item/A1377058119/ Ph.D Research Scholar, C. U. Shah University, Wadhwan, Gujarat, India Rajesh Patel The workload in cloud computing surroundings changes progressively delivering unwanted circumstances, for example, load unbalancing and minor usage. Virtual machine migration is an impressive plan in such circumstances inorder to improve system performance. With a specific end goal to give productive energy virtual machine migration is essential that migrates a running virtual machine without disconnecting the client or application. In any case, an algorithm in view of a single objective is generally familiar with to coordinate the migration process. Unexpectedly, there stay alive unconsidered variables affecting the migration process, for example, burden capacity, power utilization and resource wastage. We offer a multi-objective algorithm for obtaining VM migration by evaluating the multi objectives that are responsible for migration overhead. In this manner, we suggest a narrative relocation approach united by a Multi objective Dolphin Echolocation Optimization Algorithm (MO-DEOA) to assess several objectives. The aim is to efficiently obtain improved migration that concurrently diminishes power consumption by guaranteeing the performance of the system. 07 30 2019 86 94 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1379.078219 https://www.ijrte.org/portfolio-item/A1379058119/ M.E. Student, Department of Electrical Engineering, M.S.S.’s College of Engineering and Technology, Jalna, MS, India. Nagesh Kalidas Bhosale Prof. Chandra O Reddy H.O.D., Department of Electrical Engineering, M.S.S.’s College of Engineering and Technology, Jalna, MS, India. Prof. Pankaj Bhakre Assistant Professor, Department of Electrical Engineering, M.S.S.’s College of Engineering and Technology, Jalna, MS, India. For power system equipment with oil as insulating medium such as power transformer, Dissolved Gas Analysis (DGA) of oil is very helpful method in order to detect faults below oil level. Early detection of fault conditions in a transformer is possible if analysis of gases is done which gets evolved in it. Analysis of the specific value of every gas helps in diagnosing faults. Faults which can be identified by this method include disturbances like presence of corona discharge, partial discharges, arcing and increase in temperature. If correct preventive actions are initiated early for the diagnosis of gases produced, failure to equipment will get prevented. Even though many methods are researched for fault identification and analysis in power transformers, DGA is much superior in comparison with other techniques as it gives more helpful data about the condition of the transformers in running condition. Different techniques, like key gases and their ratio, and their analyzing them graphically are mainly used to understand DGA samples. For a transformer having multiple faults, above methods fail to diagnose. IEC standards are in use for DGA from many years and valuable experience gained over theses years around the world is in use to diagnose internal faults on transformers. IEC three gas ratio technique suggested by IEC is mainly preferred, but in some conditions it can’t correctly identify conditions like no suitable codes for diagnosis and multiple faults. The limitations of the traditional three gas ratio method are: with gas ratio is on the verge of crossing the coding boundary, there is a sharp change in the codes, but actually fuzzied boundary should be used. In this paper, codes "zero", "one", "two" are represented by fuzzy membership functions, then "AND" and "OR" conditions of three gas ratio method are coded into fuzzy logic based statements. MATLAB based scripts prove that the presented technique surely overcome the limitations of the traditional three gas ratio method, hence, it largely reduces the errors in diagnosis. In this paper, a method on the basis of fuzzy logic is explained which is able to identify many faults in oil insulated equipment. The presented diagnosis technique uses values of the ratios C2H4 /C2H6 , C2H2 /C2H4 and CH4 /H2 and the concentration of specific gases namely methane (CH4 ), hydrogen (H2 ), acetylene (C2H2 ), carbon monoxide (CO), ethylene (C2H4 ), carbon dioxide (CO2 ) and / ethane (C2H6 ). Values of these three ratios reflect various patterns of faults inside the transformer. Fuzzy three ratio technique can also quantitatively indicate the likelihood of identified fault with more accuracy as compared to conventional three ratio method. This tool will prove to be very useful to the engineers in DGA result interpretation. 07 30 2019 95 100 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1380.078219 https://www.ijrte.org/portfolio-item/A1380058119/ Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and technology, Avadi, Chennai, India. T. Sandhya N. Siva Rama Lingham Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and technology, Avadi, Chennai, India. S. Sundari Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and technology, Avadi, Chennai, India. The improvement in infrastructure and technology has made lives easier and has lead to high demand of automobiles. This increase in demand of automobiles has led to huge traffic hazards and road accidents where the lives of people are under huge risk. When the accidents occur, there is a delay in ambulance arriving to the accident location due to congestion in traffic which increases the chances of death of the victim. Hence, to overcome this problem the proposed system makes use of IOT to detect accident and helps the ambulance rescue system to reach the location for rescue of the victim within less time. This system helps in reducing the loss of life due to fatal accidents. The system makes use of accelerometer sensor signal which is used to detect severe accidents due to some obstacle. Then with the help of micro controller used the system immediately sends an alert message through the GSM module to the concerned guardian and to all the possible nearby rescue team along with the location. when an rescue team arrives at the earliest an notification is sent to the other rescue team which received the message of the accident. As the number of fatal accidents has increased at a large rate this automatic detection of accidents and the rescue system is very useful in the current scenario to rescue the victim as soon as possible. 07 30 2019 814 816 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A14020.078219 https://www.ijrte.org/portfolio-item/A1402058119/ Research Scholar, Department of Computer Science, Chikkanna government Arts college, Tirupur-641602, Tamil Nadu, India P. Kokila Dr. G. M. Nasira Professor & Head, Department of Computer Applications, Chikkanna Government Arts College, Tirupur-641602, Tamil Nadu, India. The voice pathology detection is one of the essential process which has to be determined in the earlier stages because it is a sign for raising health related problems. The aim of this paper is to handle the uncertainty in voice dataset due to inconsistency in extracting potential features and vagueness in dealing voice signals. The raw voice signals are preprocessed by feature extraction using meyer wavelet and potential features involved in voice disorder detection are done using sequential forward feature selection methods as voice preprocessing. This research work introduced an improvised intuitionistic fuzzy artificial neural network which enhances the process of voice disorder detection is SVD database by using analytical hierarchical processing for assigning weights and thus the complete neural network performance was fine tuned instead of assigning the weights randomly. The simulation results proved the performance of the proposed model as best by producing more promising result while comparing with ANN, PANN and Fuzzy ANN models. 07 30 2019 1225 1229 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1424.078219 https://www.ijrte.org/portfolio-item/A1424058119/ Department of Computer Science and Information Technology, Central University of Jammu, Jammu, India. Shoaib Mohd Nasti Zoltán Vámossy John von Neumann Faculty of Informatics, Óbuda University, Budapest Hungary Neerendra Kumar Department of Computer Science and Information Technology, Central University of Jammu, Jammu, India. A Simulink model containing fuzzy logic controller for collision-free robot navigation in a dynamic environment is presented in this paper. Two controllers, pure pursuit and fuzzy logic controller, are considered to handle robot navigation with obstacle avoidance. Ignoring the obstacles, the pure pursuit controller computes the required linear and angular velocities to direct robot from start to goal location. However, if obstacles are present in the navigation path then the robot will get collided with obstacles in the path. As a result, the robot will not reach to the provided goal location. The fuzzy logic controller is used to avoid obstacles in the navigation path. The fuzzy logic controller takes obstacle distance, obstacle angle, target direction and the x coordinate of goal location as inputs. Consequently, the fuzzy logic controller outputs the required change in angular velocity for the robot. This change in angular velocity is applied to the angular velocity provided by the pure pursuit controller. The experimental work is performed using Turtlebot Gazebo simulator. The navigation including environment, obstacles and resultant paths are also manifested. 07 30 2019 817 822 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1428.078219 https://www.ijrte.org/portfolio-item/A1428058119/ Department of CSE, RMK College of Engineering & Technology, Chennai, India. Prianka R R Prof. Celine Kavitha A Department of Physics, Vel Tech Multi Tech Dr. RR Dr.SR Engineering College, Chennai, India. Cervical cancer is the symptomless disease to cause death amongst women due to cancer. Most of the cervical cancer diagnosis process microscopic images are taken as sample to identify Segmentation of cervical cells. In this paper, Fuzzy c-means clustering algorithm is used to preserve the colour and data loss during segmentation is minimal. It accurately segments the individual cytoplasm and nuclei from a cluster of overlapping cervical cells. Recent methods cannot undertake such absolute segmentation due to various challenges involved in delineating cells coping with overlap and poor contrast. Improved method for detecting overlapping cervical cells using advanced tests yields better results in detection. The cervical cancer can be prevented through both early detection and best treatment based on the acuteness of the disease. 07 30 2019 3401 3404 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1442.078219 https://www.ijrte.org/portfolio-item/A1442058119/