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Mepco Schlenk Engineering College

About: Mepco Schlenk Engineering College is a based out in . It is known for research contribution in the topics: Wavelet & Wavelet transform. The organization has 1307 authors who have published 1665 publications receiving 18690 citations.


Papers
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Proceedings ArticleDOI
19 Mar 2015
TL;DR: In this article, a five-level cascaded multilevel inverter based Shunt Active Power Filter (SAPF) is proposed to compensate reactive power and mitigate the harmonic currents generated by the nonlinear loads.
Abstract: Cascaded multilevel inverter is a power electronic device developed to synthesize a desired voltage or current waveforms from several levels of dc voltages making use of its reduced switching stress and modular structure. Such inverters have been recognized as very attractive topologies for implementing shunt active power filters in medium and high voltage applications. This paper presents a five-level cascaded multilevel inverter based Shunt Active Power Filter (SAPF) to compensate reactive power and mitigate the harmonic currents generated by the non-linear loads. The functioning of the proposed system is improved by the inclusion of PI controller for dc-side voltage regulation of SAPF and triangular carrier current controller for the generation of switching pulses for the inverter switches. The control strategy of SAPF also incorporates Synchronous Reference Frame (SRF) theory to extract the harmonic components from distorted line currents which in turn are utilized in the production of required reference compensation currents. This paper primarily focuses on the mitigation of the harmonics produced by the use of nonlinear loads with the aid of PI controller for dc voltage regulation. Extensive simulations are carried out to validate performance of the proposed SAPF system using MATLAB/ SIMULINK for diode bridge rectifier with RL load. The dynamic responses of the proposed SAPF system is verified under varying load conditions.

7 citations

Proceedings ArticleDOI
05 Mar 2015
TL;DR: This work presents the design of rectenna which can harvest RF power from two different bands such as 1.8 GHz (GSM band) and 2.4 GHz (ISM band) using HSMS-2820 diode from Avago technologies.
Abstract: In the wireless world, wireless power transfer is one of the emerging technologies. Energy harvesting is the reason behind the success of wireless sensor networks. Though wireless sensor networks find lots of applications in agriculture, an industry etc, one of the major constraints is its power consumption. The solution for this problem can be either power consumption reduction or external power supply by means of energy harvesting. Since lots of RF sources are available in the present scenario, this paper concentrates on RF energy harvesting in order to supply power to the wireless sensor nodes. This work presents the design of rectenna which can harvest RF power from two different bands such as 1.8 GHz (GSM band) and 2.4 GHz (ISM band). The designed antenna radiates 3.201 dBm and 4.771 dBm power at 1.8 GHz and 2.4 GHz respectively and these powers are given as input to the rectifier circuit which converts RF power into DC voltage. The rectifier circuit gives Power Conversion Efficiency (PCE) of about 58.545% at 1.8 GHz with the output voltage of 0.459 V for the input 0.839 V. PCE is 83.729% at 2.4 GHz with the output voltage of 0.768 V for the input 0.892 V. Advanced Design System (ADS) 2009 is used for simulation. Diode used here is HSMS-2820 diode from Avago technologies.

7 citations

Journal ArticleDOI
TL;DR: From the survey followed by analysis, it is observed that the performance of hardware architecture of image interpolation can be improved by minimising number of line buffer memory and removing superfluous arithmetic elements on generating weighting coefficient.
Abstract: Image interpolation is a method of estimating the values at unknown points using the known data points. This procedure is used in expanding and contrasting digital images. In this survey, different types of interpolation algorithm and their hardware architecture have been analyzed and compared. They are bilinear, winscale, bi-cubic, linear convolution, extended linear, piecewise linear, adaptive bilinear, first order polynomial, and edge enhanced interpolation architectures. The algorithms are implemented for different types of field programmable gate array (FPGA) and/or by different types of complementary metal oxide semiconductor (CMOS) technologies like TSMC 0.18 and TSMC 0.13. These interpolation algorithms are compared based on different types of optimization such as gate count, frequency, power, and memory buffer. The goal of this work is to analyze the different very large scale integration (VLSI) parameters like area, speed, and power of various implementations for image interpolation. From the survey followed by analysis, it is observed that the performance of hardware architecture of image interpolation can be improved by minimising number of line buffer memory and removing superfluous arithmetic elements on generating weighting coefficient.

7 citations

Journal ArticleDOI
TL;DR: Biodiesel has been proved as a promising solution amidst other alternate fuels in terms of its characteristics compared to diesel as mentioned in this paper, however, the oxidation property of biodiesel results in the degradation of...
Abstract: Biodiesel has been proved as a promising solution amidst other alternate fuels in terms of its characteristics compared to diesel. The oxidation property of biodiesel results in the degradation of ...

7 citations

Journal ArticleDOI
TL;DR: In this paper, the authors considered a two-warehouse inventory problem for a non-instantaneous deteriorating item with inflation and time value of money over a finite planning horizon and designed an algorithm to obtain the optimal replenishment strategies.
Abstract: In the current global market, organizations use many promotional tools to increase their sales. One such tool is sales teams’ initiatives or promotional policies, i.e., free gifts, discounts, packaging, etc. This phenomenon motivates the retailer/or buyer to order a large inventory lot so as to take full benefit of promotional policies. In view of this the present paper considers a two-warehouse (owned and rented) inventory problem for a non-instantaneous deteriorating item with inflation and time value of money over a finite planning horizon. Here, demand depends on the sales team’s initiatives and shortages are partially backlogged at a rate dependent on the duration of waiting time up to the arrival of next lot. We design an algorithm to obtain the optimal replenishment strategies. Numerical analysis is also given to show the applicability of the proposed model in real-world two-warehouse inventory problems.

7 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202210
2021239
2020162
2019171
2018159
2017144