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Institution

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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Journal ArticleDOI
TL;DR: The developed algorithm employs a novel technique for automatically detecting man-made and non-man-made single, two, and multitargets from nontarget objects, located within a cluttered environment by evaluating nonoverlapping image blocks.
Abstract: Automatic target recognition (ATR) involves processing images for detecting, classifying, and tracking targets embedded in a background scene. This paper presents an algorithm for detecting a specified set of target objects embedded in visual images for an ATR application. The developed algorithm employs a novel technique for automatically detecting man-made and non-man-made single, two, and multitargets from nontarget objects, located within a cluttered environment by evaluating nonoverlapping image blocks, where block-by-block comparison of wavelet cooccurrence feature is done. The results of the proposed algorithm are found to be satisfactory.

25 citations

Journal ArticleDOI
01 Dec 2020-Fuel
TL;DR: In this paper, the degradation of biodiesel in spite of oxidation due to environmental storage conditions has been investigated by means of Moringa Oleifera Lam (MO) leaves.

25 citations

Journal ArticleDOI
TL;DR: The methodology includes Salient Information Map generation from both RGB and depth action sequences signposting the motion significant region of the corresponding action sequence, and Multiclass SVM classifier is used for classifying the features in to various action categories.

25 citations

Journal ArticleDOI
TL;DR: In this paper, the first assessment of enhanced electrochemical properties of Bismuth Ferrite (BiFeO3) thin films through samarium(Sm) doping are delivered.

25 citations

Journal ArticleDOI
TL;DR: In this paper, a DSC multiple heating rate kinetic method was used to decompose cracker mixtures of different compositions of potassium nitrate, sulphur, and aluminum, and the results revealed that a minimum 11% to a maximum of 17% of sulphur is required for good cracking characteristics.
Abstract: DSC studies of cracker mixtures of different compositions of potassium nitrate, sulphur and aluminum have shown some critical characteristics either with the increase or decrease in the composition of the components. Specifically, sulphur composition below 8% showed no exothermic activity. The studies revealed that a minimum of 11% to a maximum of 17% of sulphur is required for good cracking characteristics. The kinetics of decomposition of cracker mixture is carried out employing DSC multiple heating rate kinetic method. Increase in sulphur content decrease the energy of activation facilitating easy ignition of the cracker mixtures. Arrhenius parameters for cracker mixture decomposition are reported in this paper.

25 citations


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