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A Novel Single Switch High Gain DC-DC Converter Topology for Renewable Energy Systems

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Energy Engineering 2021年第2期118卷 199-209页

作者： G.Indira Kishore M.Premkumar ramesh Kumar Tripathi chandra Sekhar Nalamati GMR Institute of Technology RajamSrikakulamAndhra Pradesh532127India Motilal Nehru National Institute of Technology AllahabadUttar Pradesh211004India

Renewable energy with sources such as photovoltaic(PV)or fuel cells can be utilized for the generation of elec-trical *** these sources generate fewer voltage values and therefore require high gain converters to match with DC bus voltage in *** high gain converters can be implemented with switched capacitors to meet the required DC bus *** capacitors operate in a series and parallel combination during switch-ing operation and produce high static gain,limits reverse voltage that appears across the components.A novel converter is proposed that satisfies all the features such as high voltage gain,only one switch,forces less potential stress cross the components,ripple current is *** features of the proposed converter are verified through MATLAB/SIMULINK.

关键词： DC-DC converter high gain renewable energy switched capacitors

P-ROCK: A Sustainable Clustering Algorithm for Large Categorical Datasets

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Intelligent Automation & Soft Computing 2023年第1期35卷 553-566页

作者： Ayman Altameem ramesh chandra Poonia Ankit Kumar Linesh Raja Abdul Khader Jilani Saudagar Department of Computer Science and Engineering College of Applied Studies and Community ServicesKing Saud UniversityRiyadh11533Saudi Arabia Department of Computer Science CHRIST(Deemed to be University)Bangalore560029India Department of Computer Engineering and Applications GLA UniversityMathuraUPIndia Department of Computer Application Manipal University JaipurRajasthan303007India Information Systems Department Imam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11432Saudi Arabia

Data clustering is crucial when it comes to data processing and *** new clustering method overcomes the challenge of evaluating and extracting data from big *** or categorical data can be *** clustering methods favor numerical data clustering and ignore categorical data *** recently,the only way to cluster categorical data was to convert it to a numeric representation and then cluster it using current numeric clustering ***,these algorithms could not use the concept of categorical data for *** that,suggestions for expanding traditional categorical data processing methods were *** addition to expansions,several new clustering methods and extensions have been proposed in recent *** is an adaptable and straightforward algorithm for calculating the similarity between data sets to cluster *** paper aims to modify the algo-rithm by creating a parameterized version that takes specific algorithm parameters as input and outputs satisfactory cluster *** parameterized ROCK algorithm is the name given to the modified algorithm(P-ROCK).The proposed modification makes the original algorithm moreflexible by using user-defined parameters.A detailed hypothesis was developed later validated with experimental results on real-world datasets using our proposed P-ROCK algorithm.A comparison with the original ROCK algorithm is also *** results show that the proposed algorithm is on par with the original ROCK algorithm with an accuracy of 97.9%.The proposed P-ROCK algorithm has improved the runtime and is moreflexible and scalable.

关键词： ROCK K-means algorithm clustering approaches unsupervised learning K-histogram

Performance Analysis of Machine Learning Algorithms for Classifying Hand Motion-Based EEG Brain Signals

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Computer Systems Science & Engineering 2022年第9期42卷 1095-1107页

作者： Ayman Altameem Jaideep Singh Sachdev Vijander Singh ramesh chandra Poonia Sandeep Kumar Abdul Khader Jilani Saudagar Department of Computer Science College of Applied StudiesKing Saud UniversityRiyadh11495Saudi Arabia Department of Computer Science and Engineering Manipal University JaipurJaipur303007India Department of Computer Science CHRIST(Deemed to be University)Bangalore560029India Department of Computer Science and Engineering CHRIST(Deemed to be University)Bangalore560074India Information Systems Department Imam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11432Saudi Arabia

Brain-computer interfaces (BCIs) records brain activity using electroencephalogram (EEG) headsets in the form of EEG signals;these signals can berecorded, processed and classified into different hand movements, which can beused to control other IoT devices. Classification of hand movements will beone step closer to applying these algorithms in real-life situations using EEGheadsets. This paper uses different feature extraction techniques and sophisticatedmachine learning algorithms to classify hand movements from EEG brain signalsto control prosthetic hands for amputated persons. To achieve good classificationaccuracy, denoising and feature extraction of EEG signals is a significant step. Wesaw a considerable increase in all the machine learning models when the movingaverage filter was applied to the raw EEG data. Feature extraction techniques likea fast fourier transform (FFT) and continuous wave transform (CWT) were usedin this study;three types of features were extracted, i.e., FFT Features, CWTCoefficients and CWT scalogram images. We trained and compared differentmachine learning (ML) models like logistic regression, random forest, k-nearestneighbors (KNN), light gradient boosting machine (GBM) and XG boost onFFT and CWT features and deep learning (DL) models like VGG-16, DenseNet201 and ResNet50 trained on CWT scalogram images. XG Boost with FFTfeatures gave the maximum accuracy of 88%.

关键词： Machine learning brain signal hand motion recognition braincomputer interface convolutional neural networks

Analysis and Predictions of Spread, Recovery, and Death Caused by COVID-19 in India

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Big Data Mining and Analytics 2021年第2期4卷 65-75页

作者： Rajani Kumari Sandeep Kumar ramesh chandra Poonia Vijander Singh Linesh Raja Vaibhav Bhatnagar Pankaj Agarwal Department of Information Technology and Computer Application JECRC UniversityJaipurRajasthan 303905India Bangalore Karnataka 560029India with Amity University Rajasthan JaipurRajasthan 303002India University Jaipur Rajasthan 303007India

The novel coronavirus outbreak was first reported in late December 2019 and more than 7 million people were infected with this disease and over 0.40 million worldwide lost their lives. The first case was diagnosed on30 January 2020 in India and the figure crossed 0.24 million as of 6 June 2020. This paper presents a detailed study of recently developed forecasting models and predicts the number of confirmed, recovered, and death cases in India caused by COVID-19. The correlation coefficients and multiple linear regression applied for prediction and autocorrelation and autoregression have been used to improve the accuracy. The predicted number of cases shows a good agreement with 0.9992 R-squared score to the actual values. The finding suggests that lockdown and social distancing are two important factors that can help to suppress the increasing spread rate of COVID-19.

关键词： COVID-19 regression correlation machine learning prediction

Scavenging Action of Zinc and Green Tea Polyphenol on Cisplatin and Nickel Induced Nitric Oxide Generation and Lipid Peroxidation in Rats

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Biomedical and Environmental Sciences 2004年第4期17卷 402-409页

作者： SEEMA JOSHI S. K. HASAN ramesh chandra M. M. HUSAIN R. C. SRIVASTAVA Isabella Thoburn P. G. College Faizabad Road Lucknow 226 007 IndiaIndustrial Toxicology Research Centre P. O. Box. 80 M. G. Marg Lucknow 226 001 IndiaIndustrial Toxicology Research Centre P. O. Box. 80 M. G. Marg Lucknow 226 001 IndiaIndustrial Toxicology Research Centre P. O. Box. 80 M. G. Marg Lucknow 226 001 IndiaR.C.Srivastava Scientist 'F'and Area Coordinator Analytical Toxicology Industrial Toxicology Research Centre P.O.Box80M.G.Marg Lucknow226001UP.INDIA

Objective Toxic metal ions have been implicated in the generation of reactive oxygen species (ROS) and nitric oxide (NO). Metallothionines (MT) and plant flavonoids have been reported in the intervention against oxidative damage. We investigated the effect of zinc induced MT and green tea polyphenol (GTP) in reducing the oxidative responses induced by nickel and platinum. Methods Zinc (10 mg/kg b. wt, sc) was administered to rats twice at a gap of 24hrs and GTP (10 mg/100 mL in drinking water) was fed ad libitum for 8 days. Nickel chloride (150 umol/***, ip) and cisplatin (50 mmol/kg ***, sc) was administered to rats 24 h after Zn or GTP pre-treatment. Animals of all the groups were sacrificed 16 hrs after treatment and biochemical markers for toxicity were monitored. Results Zinc or GTP pre-treatment caused significant protection against nickel or cisplatin enhanced mortality in rats, and reduction in lipid peroxidation and NO. Conclusion It is proposed that inhibition of ROS and NO by GTP and zinc may prove useful as a selective pharmacological agent in the amelioration of metal toxicity.

关键词： Green tea polyphenol Zinc Nitric oxide Lipid Peroxidation Nickel Cisplatin

Variations in Solar Cycles 22, 23 &24 and Their Effect on Earth’s Climate

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International Journal of Astronomy and Astrophysics 2016年第1期6卷 8-13页

作者： Prithvi Raj Singh chandra Mani Tiwari Ajay Kumar saxena Department of Physics Awadhesh Pratap Singh University Rewa India

In the present work, the study of influence of solar activity, cosmic ray intensity and geomagnetic activity on Earth’s climate during solar cycles 22, 23 and 24 has been done. The change in Earth’s climate, specifically the change in the global mean temperature has been associated with the variation of some solar activity indices, cosmic ray intensity and geomagnetic activity indices in the period of 1986-2014 (Till Dec.). The important solar indices that are total solar irradiance (TSI), Sunspot Number (SSN), F10.7 index, Cosmic Ray Intensity (CRI) Kiel (NM), geomagnetic activity indices Auroral Electrojet Index (AE) and aa index, have been presented. The study of the Earth’s climate in relationship with solar activity, cosmic ray intensity and geomagnetic activity has been analysed with variations and correlations. The variations of SSN with CRI are in anti-phase;SSN with F10.7, SSN with TSI, SSN with AE, SSN with aa are in same phase. The correlation of SSN with CRI is strongly negatively correlated;SSN with F10.7, SSN with TSI is strongly positively and SSN with AE, SSN with aa positively correlated to averaging solar cycles 22, 23 and 24. The Earth’s climate will be affected by the solar activity, cosmic ray intensity and geomagnetic activity.

关键词： Solar Activity Geomagnetic Activity Cosmic Ray Intensity

Assessment of Recent Tectonic Activity along the Yamuna Basin, Garhwal Region, NW-Himalaya, India: Based on Morphotectonic Analysis

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Open Journal of Geology 2021年第12期11卷 734-755页

作者： Prerna Gahlaut ramesh chandra Patel Ramamoorthy Ayyamperumal Madhusudan Sati Dinesh chandra Nainwal Department of Geology H.N.B. Garhwal University Srinagar India Department of Geology Banaras Hindu University Varanasi India MOE Key Laboratory of Western China’s Environmental System College of Earth and Environmental Sciences Lanzhou University Lanzhou China SDM Government Post Graduate College Affiliated by SDSUV Dehradun India

Decoupling between climate and tectonics, transform the elevation of earth surface regionally by denudation and displacement of land. To extract the tectonic footprints on morphology of landform, geormophometry is widely accepted tool due to visible responses in Drainage architecture to an intense tectonic environment. The present morphology of Yamuna basin in the Garhwal Himalaya, India is a result of continuing crustal deformation;erosion and deposition in the area. The drainage system and geomorphic expression of topography have been significantly influenced by active tectonics in this basin. In present study, for numerical modelling to detect the influence of tectonic signals on landform, we used morphotectonic parameters, to gradient index (SL), valley floor height to width ratio (Vf), asymmetry factor (Af), basin shape index (BS) and hypsometric integral (HI), extracted from SRTM DEM with resolution of 30 m. All these morphotectonic parameters are integrated to produce an index of relative active tectonics (IRAT). The Yamuna basin is classified into three groups based on IRAT, very high (2.25) based on the degree of tectonic activity. Result shows approx. 56% of Yamuna basin experience high tectonic activity. This along strike deformation pattern pronouncedly emulates subsurface geometry based tectonic model.

关键词： Active Tectonics Landform Evolution Morphotectonic Parameters Landslide IRAT

反复张力下V形切口圆条的表面裂纹的疲劳扩展(英文)

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2014年第11期15卷 873-882页

作者： Devi chandra Judha PURBOLAKSONO Yusoff NUKMAN Haw-ling LIEW Singh ramesh Mohsen-abdel HASSAN Center of Advanced Manufacturing and Materials Processing Department of Mechanical EngineeringFaculty of EngineeringUniversity of Malaya Department of Mechanical Engineering Faculty of Engineering University of Andalas Center of Manufacturing System Integration Department of Mechanical EngineeringFaculty of Engineering University of Malaya

研究目的:在相同的反复张力下,研究V形切口圆条表面裂纹的疲劳扩展规律。研究方法:1.构建V形切口圆条模型(图1),基于线性二次元将模型表面离散成一个个网格点(图2);2.以AZ-6A-T5镁合金为例,利用J积分计算应力强度因数,利用NASGRO裂纹增... 详细信息

研究目的:在相同的反复张力下,研究V形切口圆条表面裂纹的疲劳扩展规律。研究方法:1.构建V形切口圆条模型(图1),基于线性二次元将模型表面离散成一个个网格点(图2);2.以AZ-6A-T5镁合金为例,利用J积分计算应力强度因数,利用NASGRO裂纹增长率模拟裂纹的疲劳扩展;3.通过研究不同的裂纹纵横比和对应的应力强度因数之间的相关性来研究裂纹的扩展。重要结论:1.在裂纹扩展时裂纹纵横比的初始值对断裂形状的发展有重要影响;2.裂纹纵横比对疲劳负荷寿命的作用比缺口半径更加明显;3.当裂纹前缘演变成一条直线形时可观察到不稳定的裂纹扩展;4.裂纹深度一定时,断裂纵横比越小,疲劳负荷寿命越短;5.当裂纹纵横比为0.6–0.7时,出现了不稳定的裂纹扩展。

关键词：疲劳裂纹扩展裂纹纵横比边界元法应力强度因数

因拒食而由家庭成员对其鼻饲四年的精神分裂症和强迫症共病患者一例（英文）

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上海精神医学 2015年第4期27卷 252-255页

作者： Sachdeva A chandra M saxena A Beniwal R Kandpal M Kumar A ESIC Medical College and Hospital Department of Psychiatry and Drug De-addiction Post Graduate Institute of Medical Education and Research Dr.Ram Manohar Lohia Hospital

在许多精神障碍中(包括强迫症和精神分裂症),拒食是常见的表现。当突然出现拒食时,这可能需要急诊处理;一旦变成慢性,它就成为一种难以改变的根深蒂固的行为。对拒食患者的诊断可能有难度,尤其是对有共病问题、智力受损或对自身状况缺... 详细信息

在许多精神障碍中(包括强迫症和精神分裂症),拒食是常见的表现。当突然出现拒食时,这可能需要急诊处理;一旦变成慢性,它就成为一种难以改变的根深蒂固的行为。对拒食患者的诊断可能有难度,尤其是对有共病问题、智力受损或对自身状况缺乏自知力的患者。鼻饲是一种有效的短期干预方法,当患者重新进食时即可中止这一干预。然而,在某些情况下,患者可能变得依赖于鼻饲。我们介绍一个病例,报告一名患有精神分裂症、强迫症、边缘智力以及癫痫的患者由于拒绝进食而由其家庭成员用鼻饲管喂食超过三年。

关键词：拒食共病精神障碍精神分裂症强迫症边缘智力癫痫病例报告印度