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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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Journal ArticleDOI
01 May 2021
TL;DR: In this article, the effect of work hardness on the end milling process is investigated and the best optimal setting is identified for various levels of flow rates of minimum quantity lubrication to obtain the best output.
Abstract: Performance of the machining and the efficiency of milling operation depend on several process variables among which hardness of work material is of great significant. In this study, experimentation was carried out to investigate the effect of work hardness on end milling process. Workpiece material hardness is used as a noise factor. Input parameters used are spindle speed, feed; depth of cut and tool diameter.The experiments performed under wet and minimum Quantity lubrication and results of both compared. further for getting optimal lubricant conditions the experiments performed for various levels of flow rates of minimum quantity lubrication to get the best optimal setting. Output parameters are surface roughness, material removal rate, cutting force and tool wear. Design of Experiment (DOE) with Taguchi L27 Orthogonal Array (OA) has been explored to produce 27 specimens on Al2024 aluminium by end milling operation at three different levels of hardness of material. The experiments performed under wet and minimum quantity lubrication condition and results compared. Further For optimal lubricant condition the experiments performed at various flow rate of Minimum Quantity Lubrication and "best" optimal setting is identified.
Proceedings ArticleDOI
01 Dec 2015
TL;DR: In this paper, the authors proposed a solution to rural ac electricity needs for continuity of electrical supply by combining renewable energy generation with energy storage bank and ac power from substation to enable the power generated from a renewable energy sources to be more reliable, affordable and used more efficiently.
Abstract: In India as thousands of villages are located in remote area where electrification is tedious and expensive. Such villages can be electrified either by extending the grids of the existing power systems or by constructing isolated new power systems, with the help of renewable energy sources. Conventional methods face problems regarding its affordability. Renewable energy based power system is possible option for the electrification of these villages. This is challenge in front of researchers to regulate the output power to cope with load demand, as RES are whether dependent with varying daily and seasonal patterns. Combining the renewable energy generation with energy storage bank & ac power from substation will enable the power generated from a renewable energy sources to be more reliable, affordable and used more efficiently. If the normal source of power, most often the serving utility, if fails, emergency and standby power systems are designed to provide an alternate source of power. As reliability of these types of systems is critical and good design practices are essential. RES's based solar systems are a potentially significant solution to rural ac electricity needs for continuity of electrical supply.
Journal Article
TL;DR: In this article, the development of a sustainable power source that can supply sufficient power to wireless sensors in remote locations while requiring less maintenance and low costs is described. And the soil energy is utilized by Microbial Fuel Cell.
Abstract: This paper describes the development of a sustainable power source that can supply sufficient power to wireless sensors in remote locations while requiring less maintenance and low costs. The soil energy is utilized by Microbial Fuel Cell. The soil with microorganisms can produce energy when they are attached with two electrodes, one positive and another negative electrode. This leads to flow of electrons contributing to electricity. The electricity is then utilized to Electronic circuit consisting of microcontroller and the humidity and temperature sensors are attached to it to read out the values of temperature and humidity on PC by using ZigBee Transceiver.
Journal ArticleDOI
TL;DR: In this article, a structural characterization of self-doped, undoped and doped copolymer was performed using FTIR, WAXD and SEM techniques, which revealed modifications in the original copolymers structure accompanied by various shifts in the band positions and appearance of the new bands in IR spectrum due to doping.
Journal ArticleDOI
14 Sep 2016
TL;DR: Proposed multimodal biometric authentications integrate transformed domain features vector of FK and FV at score level fusion using Bayesian and weighted sum method.
Abstract: Biometrics is the prominent technology for accurate and safe detection of claim identity. This paper proposes a novel multimodal authentication system using finger knuckle (FK) and finger vein (FV). Finger Knuckle has unique bending and makes this a distinctive biometric identifier. The vein pattern of all fingers of human being is not same. Each finger of same person has different vein pattern. It is the hidden part which is not seen by normal eye sight hence less possible to forge. The system consists of proposed prototype finger knuckle and finger vein image capturing devices, formation of own FK and FV image database acquired from proposed devices. Here feature extraction of FK images is based on Walsh Wavelet Transform and FV image on Hybrid Wavelet Transform. Proposed multimodal biometric authentications integrate transformed domain features vector of FK and FV at score level fusion using Bayesian and weighted sum method. The fusion of these two modalities using Bayesian method demonstrated the recognition accuracy of 98.3% and weighted sum 98.5 %. Various weights of finger knuckle and finger vein affects the recognition accuracy. The better recognition accuracy is obtained at weight of 0.8 and 0.2. The performance index is improved i.e 98.5% and the Error equal rate is 1.5% as compare to unimodal biometric. Error equal rate is reduced by 10% than individual biometric system. For N user with M 1 and M 2 as test and training samples, for verification of one user, matching complexity is O (M 1 M 2 ) and for N user O(M 1 M 2 x N). For identification, (N x M 1 ) test samples and (N x M 2 ) training samples are considered. So matching complexity is O [N (N-1) x M 1 ] for each biometric. Using conventional matching the complexity is O [N (N-1) x M 1 M 2 ]. For multimodal biometric using FK and FV, matching complexity is O 2[N (N-1) x M 1 ]. It shows great reduction in matching complexity using the proposed algorithms.

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