IN PRESS


Title: DESIGN ANALYSIS OF 3- PHASE INDUCTION MOTOR USING 2D MODELLING
Author: Ajay Anand and Alka Thakur
Keyword: Induction Motor, thermal analysis, Simulation, Losses, Efficiency, flux density.
Page No: 55-55
Abstract: Induction motor is singly excited motor, which is very simple and compact. This motor is extremely rugged in construction and most reliable with low cost construction. Robustness and reliability made the squirrel-cage induction motor the most used motor in industrial and domestic applications. . Despite the emergence of new types of electric machines, the squirrel-cage induction motor remains the dominant one based on geometric dimensions. In this paper a model was developed in the 2d and 3d Maxwell program by which the transient process at the motor start-up was calculated for different features especially temperature. For detailed and accurate analysis of motor performance in faulty conditions, an accurate model for the motor in which all conditions can be considered is of extreme importance. Thermal analysis is achieved based on a precise knowledge of the test motor geometry, materials, and heat sources (losses). This work will help the induction motor designer in predicting the thermal state of induction motor when modifying the frame, without needing manufacturing and testing expensive prototype motor. In this work the model of induction motor is presented in 2d and its designing is understood with the variation of currents and various characteristics curves have been studied.Download PDF


Title: EXPERIMENTAL INVESTIGATION ON STRENGTH PROPERTIES OF STEEL FIBER CHIP FOR M-25, M-30& M-35 GRADES OF CONCRETE
Author: Sorathiya Jitendra, Miss Kamni Laheriya
Keyword: Steel fiber chip, compressive strength. Split tensile strength. Slump value.
Page No: 55-63
Abstract: This paper manages the trial Investigation on fiber reinforced concrete with M-25, M-30& M-35 grade concrete in addition of steel fiber chip with different dosages. The main objective of this paper work is to improve the quality strength parameters, for example, compressive strength, split tensile strength, flexural strength and slump test of concrete grade M-25, M-30& M-35 having different percentage of steel fiber chip (0%, 2%,4% and 6%). Compressive strength, split tensile strength, flexural strength increases up to 6 % steel fiber chip for M-25, M-30& M-35 grade of concrete. The experimental investigation is carried out on a total no of 72 specimen of compressive strength, split tensile strength & flexural strength each. Download PDF


Title: VSCPA: A SURVEY ON VANET SECURITY, CHALLENGES, PROTOCOLS AND ITS APPLICATIONS
Author: Harsh Lohiya
Keyword: VANET, Intelligent Transport System, Road Side Equipment, Security attack, MANET, Dynamic Route Planning.
Page No: 64-76
DOI: 10.30876/JOHR.8.3.2020.64-76
Abstract: For the Intelligent Transport System, vehicular ad hoc network is one of the prominent network technologies which is a sub class of mobile ad hoc network. VANET provides the safety information to the driver and passenger. It also provides the communication among the vehicle and vehicle to road side equipment. It is used in enormous number of applications but it is quite different from the mobile ad hoc network (MANET) in terms of characteristics, architecture, challenges and application. This technology proves the various services such as traffic management, safety, and dynamic route planning, cost effective and scalable network but some nodes of the network may compromise from different security attack because of dynamic or scalable nature so it becomes more essential to overcome these threats using security technique first. In this paper, we address the security issues and challenges in vehicular ad hoc network. We also address the architecture, protocols, applications and security attacks in it.Download PDF


Title: COMPARISON ANALYSIS OF SLOT DESIGN OF BRUSHLESS DC MOTOR
Author: Anand Prakash, Alka Thakur
Keyword: Slot design, poles, efficiency, BLDC motor.
Page No: 77-80
Abstract: Analysis of efficient slot configuration of permanent magnet brushless DC motor for a kind of electric impact used for loading and unloading is an important feature in electrical machine design. The 2 D Simulations has been carried for analyzing the effects and performance and the results are discussed and compared with two different slot configuration for same type of input. The corresponding electrical loading, magnetic circuit details and armature winding patterns for both the integral slot and fractional slot configurations are shown in detail. Download PDF


Title: MOVIE SUCCESS PREDICTION USING RANDOM FOREST (RF) CLASSIFIER
Author: Chintu Kumar
Keyword: RF, Logistic Regression, Prediction, IMDb, GNB, MNB, BNB, Precision, Python
Page No: 81-88
Abstract: The prediction of movie success the exhaustive goal of various Film Industries. Whereas, it becomes more critical to execute the movie successfully. To predict the movie success various data mining an d machine learning techniques such as GuassianNB, Multinomial NB, BernoulliNB, KNeighnors Classifier, Decision Tree, Logistic regression has been developed but, in this work, we use random forest classifier for the prediction of movie success with reduced cost and schedule. The random forest classifier selects the dataset randomly from the available dataset and the generate the decision tree of the selected dataset and then apply the voting on the prediction results and whose score and accuracy will be maximum that will indicates the success of movie. For the sample of IMDb dataset, we use online resource of kaggle and the experimental results is generated from the widely used machine learning programming language Python which helps in the analysis of the proposed methodology. The performance of proposed methodology is measured using the parameters such as Score, accuracy, precision, recall value, F1 score, mean absolute error and mean square error. The comparative analysis of the proposed methodology is done among the existing approach GuassianNB, MultinomialNB, BernoulliNB, KNeighnors Classifier, Decision Tree, Logistic regression. The score and accuracy value of our proposed methodology is 70% while other is less. Similarly, the F1 score, precision and recall value of proposed methodology is 69%, 66% and 66% while the BernoulliNB, MultinomialNB and logistic regression is comparatively very less. Similarly, the comparative analysis of proposed and existing approach is done using mean absolute error and mean square error and the value is 32% and 36% which is very less. These results of proposed methodology improve the success rate of movie success. Keywords: RF, Logistic Regression, Prediction, IMDb, GNB, MNB, BNB, Precision, Python Download PDF


Title: EXPOSURE AND PRE-EMPTION OF BLACK HOLE ATTACK IN MANET USING MODIFIED AOMDV ROUTING PROTOCOL
Author: Raj Kumar Soni, Kailash Patidar, Rishi Kushwah and Manoj Kumar Yadav
Keyword: Attacks, AODV, AMODV, MANET, Security Threats
Page No: 89-101
Abstract: Security is the major issues of wireless ad hoc network because of its dynamic and infrastructure characteristics. Wireless network is a collection mobile nodes and every node behaves like host or rou ter which are capable to determine the route for the packet but that nodes can get compromised from the security threats such as blackhole, wormhole, Sybil and denial of service attack etc. Black hole attack is one of active attack which publicizes itself as having the bright or shortest route to destination and then drops them. To locate a safe route and to significantly lessen the intercepting probability, it is proposed an approach which uses blacklisting criteria with IDS for all the replies from the neighbouring nodes. In this paper, proposes an approach to mitigate the black hole attack and the simulation and analysis of the proposed method is done in NS-2.34 network simulator using AODV and AOMDV routing protocol. Keywords: Attacks, AODV, AMODV, MANET, Security Threats Download PDF