Volume 8 Issue 4 October-December 2020
USING AGING, PHYSICAL & THERMAL PROPERTIES; PREDICTING NYLON ROPE LIFE SPAN: A REVIEW [pp 24-34]
Ravindra Awasthi, Yanbing Zheng
Abstract – This work aim is to study of Life Time Prediction of Nylon Rope using Aging Property, Thermal Behavior and Physical Properties In This work taking nylon rope experimental test were performed in ASTM D3045 standard for breaking strength. first….
CPU CABINET HEAT FINS THERMAL ANALYSIS BY USING ANSYS SOFTWARE pp [01-05]
Kumar Avinesh, Sharma Manish
Abstract – The present work investigates the numerical simulation of thermal analysis of mixed convection air flow in a CPU Cabinet. The simulation is focused on the non-uniformly heated mother board temperature distribution. In this modern world speed determines everything especially desktop PC, CPU have been popular. The computer revolution is growing rapidly in almost every field. CPU is the electronic components, which produces a lot of heat that reduces the performance. In this study the forced convection cooling of heat sinks mounted on CPU are investigated. The design is based total chassis power dissipation. This represents significant power dissipation for the chassis components (Main processor…
PERFORMANCE OF GRID INTEGRATED WIND ENERGY CONVERSION SYSTEM: AN INVESTIGATION [PP 17-23]
Draz Medhat1, Ronxguan D.
Abstract – Increased awareness towards environmental concern has led towards the efforts made to reduce harmful effects of conventional means of electricity generation on environment and to generate electricity from the renewable energy sources like wind and solar. Generation of electricity from wind energy is associated with the advantage of non-ending wind resource devoid of harmful emission….
ARTIFICIAL NEURAL NETWORK BASED SOFT-STARTER FOR INDUCTION MOTOR – A REVIEW[pp 06-10]
Abstract—The necessity of soft-starter is increasing day by day to reduce the starting current & to maintain the torque smoothly according to the load requirement. Now intelligent soft-starter is developed to improve the performance of conventional starter. This paper focused on the designing of an artificial neural network controlled soft-starter .Back-propagation algorithm is used as learning algorithm in the artificial neural network. Error correcting capability of this learning algorithm makes it more suitable to use in neural….
CREDIT THREAT ESTIMATION BY MACHINE LEARNING TECHNIQUES OVER CLOUD PLATFORM [pp 11-16]
Kachhwaha Upendra Kumar, Shrivastava Anurag
Abstract – Banks and financial organizations are really facing the challenge of identifying Threat factors, which should be considered while advancing the loans/credit to customers. An Ensemble ML algorithm is suitable for studying bank credit dataset. In future, we intend to build up a ML system risk automated system over cloud for financial organizations that will incorporate key features to determine credit value of…