Volume 4 Issue 4 October-December 2016
REVIEW ON LOAD ANALYSIS AND MATERIAL OPTIMIZATION OF CONNECTING ROD USING FEA METHODS [pp 01-04]
Tiwari R.K., Dr. Rajvaidya Rohit
Abstract – Internal combustion engines have at least one connecting rod to transmit the thrust of the piston to the crankshaft, and as the result the reciprocating motion of the piston is translated into rotational motion of the crankshaft. From the viewpoint of functionality, connecting rods must have the highest possible rigidity at the lowest weight capable to withstand varying loads. It has been found that structural failure ….
LOAD ANALYSIS AND MATERIAL OPTIMIZATION OF CONNECTING ROD USING FEA METHODS [pp 05-10]
Tiwari R.K., Dr. Rajvaidya Rohit
Abstract – Finite element method is a numerical technique for tackling issues of designing and scientific material science. In this technique, a body or a structure in which the examination to be completed is subdivided into littler components of Finite measurements called Finite components….
DEEP LEARNING WITHIN CLOUD SETTINGS- ADVANCES IN AI AND CYBERSECURITY ISSUES [pp 11-17]
Harshal Shah
Abstract – The combination of deep learning and cloud environments has surfaced as a groundbreaking method in artificial intelligence (AI), providing scalable and effective solutions for various applications. This collaboration utilizes the cloud’s computing strength, extensive storage potential, and effortless accessibility to improve the training and implementation of deep learning models. Nonetheless, the integration faces hurdles, especially in the area of cybersecurity. Since data processing and model training mainly take place in cloud environments, the threats of data breaches, adversarial attacks, and model tampering present considerable dangers. This paper examines new advancements in utilizing deep learning to improve cybersecurity in cloud environments. Significant developments consist of adaptive anomaly recognition, immediate threat intelligence, and predictive….