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RISS 인기검색어
- 검색키워드
- 저자 : Sumit Kumar Jindal (검색결과 3 건)
- 무료
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Sumit Kumar Jindal,Kishan Kumar,Shulin Saraswat,Ajay Kumar,Sanjeev Kumar Raghuwanshi 대한전기학회 2021 Journal of Electrical Engineering & Technology Vol.16 No.1
There is a huge diff erence between electricity production and its demand. In order to meet the requirements, a selective power cut is carried out which is currently based on area and time. Although this is a simplistic solution, it has many drawbacks such as the area gets completely deprived of even the very basic appliances such as lights and fans, which do not contribute signifi cantly to the power consumption. This creates a need to come up with a solution so that no one gets deprived of using basic appliances at any time and still be able to reduce power consumption to fulfi ll the ever-growing demand. This work has dealt with the same by implementing a device selective protocol which can selectively cut power of particular devices depending on their energy rating, power rating, manufacturer etc. by the use of power line carrier communication. Hence, revolutionizing the whole concept of area selective power cut to device selective power cut. Since, IoT refers to a network of devices or “Things”, this work incorporates the basic principles of IoT by essentially creating a network of devices which can communicate with each other, over low bandwidth.
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Realization of MOEMS pressure sensor using mach zehnder interferometer
Sumit Kumar Jindal,Sanjeev Kumar Raghuwanshi,Ajay Kumar 대한기계학회 2015 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.29 No.9
In this paper we first time realize the all optical pressure sensor using the Mach Zehnder interferometer. In this study, initially a circularshape clamped diaphragm is taken and pressure is applied. The deflection which is maximum at the centre is taken across a potentiometer(POT hereafter) and corresponding output voltage is noted. This voltage is applied across the electrode of Mach Zehnder Interferometer(MZI) and depending upon the specific value of electrode voltage the intensity of the optical signal varies, which provides theproper relation between the applied pressure and normalized intensity of the optical signal. The optical switching phenomena in the MZIstructure can be effectively used as an efficient pressure sensors. The paper includes the suitable expressions for the central deflection ofclamped edge pressure sensor diaphragm, the voltage output by POT and intensity of optical signal for MZI. The results are very effectivelysupported by the use of Solidworks and Opti-BPM. The error for the said parameters is also calculated and it is found in goodagreement with the desired results.
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Hepatitis C Severity Prognosis: A Machine Learning Approach
Jangiti Jaydev,Paluri Charit Gupta,Vadlamani Sumedha,Jindal Sumit Kumar 대한전기학회 2023 Journal of Electrical Engineering & Technology Vol.18 No.4
The objective of this work is to accurately predict the severity of the Hepatitis C virus using various Machine Learning (ML) algorithms. This study is developed using thirteen different blood biomarkers, which can classify Hepatitis C into three main classifications: Hepatitis-C, Fibrosis, Cirrhosis. The proposed work studies various algorithms and compares them based on their accuracy rate of predicting the severity. The authors analyzed five ML algorithms relying only on patient demographics and blood biomarker values. Performed a comparative study between algorithms like Random Forest, K-Nearest Neighbors (KNN), Decision Tree, Cat Boost, and Gradient Boost, based on their performance, accuracy rate, F1 score, and confusion matrix. These employed algorithms are supervised learning algorithms since they produce a valuable solution for classification and prediction of the degree of Hepatitis- C virus, alongside accurate rate prediction. One of the models was able to evaluate the severity with an accuracy of 98.7%. Furthermore, for the evaluation of Hepatitis C in this patient cohort, most of the models beat numerous current diagnostic options, including liver biopsy.
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