MIT-World Peace University (MIT-WPU) is a top educational institute located in Pune, India. It is recognized within&nbsp;UGC under Government of Maharashtra Act No. XXXV 2017.&nbsp;

It is part of the MIT group of institutions (established in 1983) which covers 10+ campuses across India and has more than 50,000+ students enrolled across various disciplines at a given point of time. The institute houses 15 schools ranging from Engineering &amp; Technology, Design, Pharmacy, Commerce, Governance among others. It offers undergraduate, postgraduate and PhD programs among different disciplines.&nbsp;

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MIT World Peace University

Engineering and Technology

In this paper energy and exergy analysis on components of working rectified sprite plant of capacity 11 TPH coal and the gas-fired boiler is carried out. Most of the system Is design on energetic performance criterion and is not sufficient for finding system imperfections. Hence exergy analysis is necessary to improve. It has been observed that Energetic and Exergetic performance of Plate Heat Exchanger use for heating the feed water for the boiler can be optimized. Heat carried away by Spent wash which is waste product of the plant and used as hot fluid in PHE can be utilized more effectively. Analytical calculation is carryout in Excel program to study the change in mass flow effect and by graph it has been observed that by increasing the flow rate of spent wash or decreasing the flow rate of feed water there is an increase in energetic efficiency, exergetic efficiency, and feed water temperature. Also, the effect of adding a gasketed plate has been observed, temperature increase by adding plate but there is also a pressure drop. The experimental is carried out based on analytical result there is an increase in exergetic efficiency of PHE by 6 to 7 % and increases in temperature of feed water 0.90-degree c by increasing the mass flow by 900 kg/hr. Also, other components of the boiler were observed before and after experimentation and found to be increased in performance. The thermal performance of PHE is optimized by adjusting the mass flow rate. © 2022 Author(s).

World University root node

School of Mechanical Engineering

AIP Conference Proceedings

Exergetic analysis of plate heat exchanger for boiler in rectified spirit plant

Market basket analysis is a data processing methodology for discovering relationships between different items. The primary goal of market basket analysis in retail is to provide information to the distributor about a customer’s purchasing habits, which can aid the distributor in making the best choices. Market basket analysis can be performed using a variety of algorithms. This paper compares two popular market basket analysis techniques, to determine which approach is optimal for rule generation and visualization on a common dataset. The results can be used as a guide for cross-selling, creating promotions, and determining the best location for products in the store to boost sales. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

School of Electronics & Communication Engineering

Lecture Notes in Electrical Engineering

Market Basket Analysis Recommender System using Apriori Algorithm

IOP Conference Series: Earth and Environmental Science

Numerical analysis using SolTrace software to determine the size and position of a central receiver for ganged heliostat system

School of Petroleum Engineering

Journal of Applied Geophysics

3D Phase tensor inversion and Joint inversion using impedance and phase tensor components aiming better subsurface mapping and interpretation in Dhanjori basin, Singhbhum craton, eastern India

School of Computer Engineering & Technology

Detecting Diabetic Retinopathy Using Deep Learning Technique with Resnet-50

Performance Evaluation of Cellular Networks Base Station Using Water Filling Algorithm

Indian Journal of Computer Science and Engineering

Software Restructuring at the Function Level Using Entropy Based Fuzzy C-means Clustering for Object Oriented Programming Language

Studies in Big Data

Transiting Exoplanet Hunting Using Convolutional Neural Networks

High systems’ reliability is crucial in competitive industrial plants. System Reliability-Redundancy Allocation (RRA) is an essential design consideration for maximizing the overall systems’ reliability under various systems’ constraints. This paper addresses the system RRAP problem by investigating two effective nature-inspired optimization techniques, namely Particle Swarm Optimization (PSO) and Grey Wolf Optimizer (GWO), implemented with penalty functions. Their capability in solving the RRA problem is evaluated regarding a system consisting of fifteen subsystems connected in series. Results show that the PSO is a better approach to solving this problem than the GWO. © 2022

Materials Today: Proceedings

System Reliability-Redundancy optimization with High-Level of subsystems

ECS Transactions

Virtual Voice Assistant For Smart Devices