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Institution

Yeshwantrao Chavan College of Engineering

About: Yeshwantrao Chavan College of Engineering is a based out in . It is known for research contribution in the topics: Inverter & Microstrip antenna. The organization has 632 authors who have published 586 publications receiving 4037 citations.


Papers
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Proceedings ArticleDOI
01 Feb 2016
TL;DR: This work experimentally evaluates an automated scheme to filter out unwanted messages posted on Facebook walls by assigning a set of categories with each short text message based on its contents.
Abstract: Online Social Networking (OSN) sites are always helpful for being socialized and to get exposed to a social environment. But, privacy and prevention of undesired posts on user wall is the only problem of biggest concern. User should have the ability to control the message posted on their own private wall to avoid undesirable contents to be displayed. The existing OSN sites have very little support regarding this problem. For example, Facebook filters messages on the basis of identity of sender i.e. only friend, friend of friend or group of friends can post any message; no content based preferences are supported. Taking this fact into consideration, the proposed work contributes to address such problem through a machine learning based soft classifier for labeling messages in support of contents of message. This work experimentally evaluates an automated scheme to filter out unwanted messages posted on Facebook walls by assigning a set of categories with each short text message based on its contents.

9 citations

Journal ArticleDOI
TL;DR: This paper presents, ant colony optimization based hybrid algorithm for selective harmonic elimination in single phase seven level multilevel inverter with reduced switches, which overcomed the requirement of good initial guess by proposed hybrid algorithm.
Abstract: This paper presents, ant colony optimization based hybrid algorithm for selective harmonic elimination in single phase seven level multilevel inverter with reduced switches. For high power and high voltage applications, multilevel structure with selective harmonic elimination (SHE) modulation scheme is used. The output voltage of multilevel inverter contains fundamental component along with harmonics. SHE technique aims to solve non-linear transcendental equations maintaining the fundamental harmonic component to its desired value and to eliminate lower order odd harmonics. Many optimization algorithms have been implemented to solve this problem. But these algorithms are complicated and time consuming. The Newton–Raphson algorithm is also very convergent for solving these non-linear equations. The main disadvantage of this method is, it requires strong initial guess. To overcome these drawbacks, hybrid optimization algorithm is used in this paper. This algorithm is performed in two stages, during first stage ant colony optimization has been run and in second stage the solutions obtained from ACO is used as a initial guess for Newton–Raphson algorithm which confirms the exact converged solution. Thus the drawback of Newton’s method i.e. requirement of good initial guess is overcomed by proposed hybrid algorithm. The MATLAB/SlMULINK software is used for comprehensive simulation of seven-level inverter. Experimental results validate the simulated results.

9 citations

Proceedings ArticleDOI
01 Nov 2016
TL;DR: By improving the Schmitt trigger to AND/OR/XOR Gates, with minimum switching power consumption as well as area reduction in comparison with CMOS Schmitt triggers, at the cost of a slight increase in delay.
Abstract: This paper presents Subthreshold Design of Schmitt trigger logic gates for low power operation by using Variable Threshold CMOS Technique (VTCMOS).The proposed design of Schmitt trigger are form on buffer design using dynamic threshold MOS (DTMOS) for better low power operation. By improving the Schmitt trigger to AND/OR/XOR Gates, with minimum switching power consumption as well as area reduction in comparison with CMOS Schmitt triggers, at the cost of a slight increase in delay. The performance characteristics of Schmitt trigger gates have been analyzed in term of power dissipation and delay using predictive Technology models at 180nm technology node for both CMOS and VTCMOS Schmitt trigger.

9 citations

Proceedings ArticleDOI
28 May 2015
TL;DR: In this paper, a review of various cooling techniques suggested by researchers and their results is presented. And the authors focus on review of cooling techniques for photovoltaic modules and their performance.
Abstract: The fraction of solar radiation having energy below threshold value of conversion into electricity through PV module is converted into heat. This untapped energy is responsible for increasing the operating temperature of PV module. Since the operating temperature plays a key role in the electrical efficiency of PV module, both electrical efficiency and power output of PV module depend linearly on operating temperature. Solar cell performance deteriorates with increasing temperature. To obtain a highly efficient Photovoltaic module with high reliability and lifetime, the temperature of module must be within the range prescribed by Standard Test Condition STC. This paper focuses on review of various cooling techniques suggested by researchers and their results.

9 citations

Book ChapterDOI
09 Dec 2011
TL;DR: This paper proposes a system which uses a set of rules which is matched against the input “Hindi” sentence which has at least been POS tagged, and is similar to the statistics-based approach, but all the rules are developed manually.
Abstract: This paper describes a novel method for “Hindi” grammar checking. This system utilizes a full-form lexicon for morphology analysis and rule-based systems. In this approach, we propose a system which uses a set of rules which is matched against the input “Hindi” sentence which has at least been POS tagged. This approach is similar to the statistics-based approach, but all the rules are developed manually in our approach.

9 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20222
202155
202039
201940
201859
201768