COMPARATIVE ANALYSIS OF MODIFIED SHE-PSO PWM AND LS-PWM TECHNIQUES
Authors: V. Ramu, Dr. P. Satish Kumar, Dr. G.N. Srinivas
Abstract
To address the issues of the multilevel inverters with better performance and efficiency there has been increased advancements with level shift PWM technique. The paper deals with the analysis of some such advancements like particle swarm optimization techniques and is contrasted to pulse width modulation technique in terms of total harmonic reduction, feasibility, switching pattern of PWM techniques and efficiency. Due to the conventional PWM techniques the complexity of the increased number of elements and harmonics can be reduced with the particle swarm optimization technique and can also determine the optimized switching angles in reducing the selected harmonics. The simulations of the analysis are carried out in the Matlab and the same are presented in the paper which are indeed proved to be better for PSO in contrast to conventional PWM techniques.
A NOTE ON sg* CONTINUOUS MAPPINGS IN SOFT TOPOLOGICAL SPACES
Authors: V. Ramya, R. Asokan
Abstract
The aim of this paper is to introduce sg*closed set in a Soft topological space and to study some of its properties. Then sg* continuous mapping and irresolute mapping areintroduced and some of its properties are studied. The concept sg* open, sg* closed mappings and sg*homeomorphism are introduced and their properties are studied.
EXPERIMENTAL INESTIGATION ON PHYSICO-CHEMICAL PROPERTIES OF SOME BINARY AND TERNARY LIQUID MIXTURES
Authors: Jeet Pal Singh, Arvind Kumar
Abstract
Excess Volume for three binary mixtures viz. ethanol + [empy][EtSO4], water +[empy][EtSO4] and 1-propanol +[empy][EtSO4] and ternary mixtures of ethanol + water +[empy][EtSO4] at different mole fractions at temperature 298.15K.
Impact of Big data & Artificial intelligence on Fourth Industrial Revolution
Authors: Dr. NEERAJ KUMAR, Dr. SANTOSH KUMAR GUPTA
Abstract
Industrial revolution is one of the biggest challenges in today’s innovative and technical era so this world has gone through a series of industrial revolutions since 18th century. Fourth industrial revolution is the need of every country for the existence of big data (BD) and artificial intelligence (AI) and making a digital based impact. Today’s world is the result of innovations and technological advances due to BD and AI. Every country is aiming to achieve fourth industrial revolution to empower society in a better way for the economic and social development. We are at the beginning of a fourth industrial revolution that is fundamentally changing the way we live, work, and relate to one another. Fourth industrial revolution is related with big data, artificial intelligence, robotics, the internet of things, autonomous vehicles, 3D printing, nanotechnology, materials science etc. The objective of this paper is to demonstrate and ascertain the relation & impact of big data and artificial intelligence between Individual perception & fourth industrial revolution. After study and analysis of wide literature, it is reasoned out that fourth industrial revolution has deep impact on the BD & AI. Research shows that BD & AI both are giving the pace to the fourth industrial revolution in changing the way to work, socialize, create and share information, and organize the flow of people, ideas, and things around the globe. In this context, the researcher has undertaken to analyze the Individual perception towards fourth industrial revolution on behalf of big data and artificial intelligence. The primary data was analyzed for correlation and t test to compare these two for knowing its impact on 4th industrial revolution. The secondary data is used to identify the theory of BD & AI and how it is beneficial for the fourth industrial revolution.
Effect of Thermal barrier coating with different Thickness in Piston to enhance Temperature distribution
Authors: Sujeet Kumar, Anurag Bagri, Vinay Kumar Yadav
Abstract
In the current work, the CAD model of pistonhas been developed by using ANSYS design modeler. The model has been simulated using ANSYS software on steady state thermal and static structural domain 15.0 workbench in order to observe various parameters effecting the temperature distribution between different thickness of thermal barrier coating. Four types of configurations of coating thickness were used i.e. 0.5, 0.7, 0.9, 1.2 mm. An optimized model of pistonhas been developed as stated configurations of coated piston. The simulations have been performed at a standard temperature that is the temperature generated during working of internal combustion engine. The simulation of the optimized model gives lower value of temperature distribution, thermal stress and deformation. The results are validated with reported existing previous work. The configuration of thickness between 0.7 to 0.9 of thermal barrier coating coated with sodium stannate material exhibits higher temperature distribution compared to titanium dioxide, zirconium and Ai – Si.