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Linear diophantine uncertain linguistic-based prospect theory approach for performance evaluation of islanded microgrid-system scenarios

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Clean Energy 2023年第2期7卷 263-282页

作者： Sweta Singh Neeraj Kanwar Divya Zindani Department of Electrical Engineering Manipal University JaipurIndia Department of Mechanical Engineering Sri Sivasubramaniya Nadar College of EngineeringKalavakkamTamil NaduIndia

Renewable-energy-based hybrid microgrids can aid in achieving one of the United Nations Sustainable Development Goals,i.e.‘Affordable and clean energy’.However,experts may be faced with the challenge of selecting the best one for the electrification of an *** avoid the challenge and realize the ultimate goal of the United Nations,the present study,therefore,proposes a novel pros-pect theory-based decision-making approach to help experts in opting for the best microgrid *** proposed decision-making framework considers the risk appetite of the decision-maker,a quintessential aspect of the *** diophantine uncertain lin-guistic sets are used to model the linguistic evaluations from the *** information from different experts is aggregated using a linear diophantine uncertain linguistic power Einstein-weighted geometric ***,the prospect-theory-based TOmada de Decisao Interativa Multicriterio approach is employed to evaluate the performance of the available microgrid scenarios and hence opt for the best microgrid *** proposed framework has been used to evaluate the performance of seven possible microgrid scenarios and hence select the best one that can be implemented for rural electrification of a remote village in Assam,*** microgrid scenario consisting of a photovoltaic-wind turbine-fuel cell-battery converter(MG_(3))has been revealed to be the best scen-ario among the seven considered microgrid *** validity of the obtained ranking results has been adjudged through a com-prehensive evaluation regarding the attenuation factor and the weights of the ***,previous case studies have also been solved using the proposed methodology and the results reveal a good correlation between the obtained ranking results.

关键词： distributed energy and smart grid energy and environment islanded microgrid

Numerical study of fractional model of multi-dimensional dispersive partial differential equation

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Journal of Ocean Engineering and Science 2019年第4期4卷 338-351页

作者： Vijay Verma Amit Prakash Devendra Kumar Jagdev Singh Department of Mathematics Pt.C.L.S.Govt.(PG)CollegeKarnalHaryanaIndia Department of Mathematics National Institute of TechnologyKurukshetra 136119India Department of Mathematics University of RajasthanJaipur 302004RajasthanIndia Department of Mathematics JECRC UniversityJaipur 303905RajasthanIndia

This article is devoted to a newly introduced numerical method for time-fractional dispersive partial differential equation in a multidimensional *** time-fractional dispersive partial differential equation plays a great role in solving the problems arising in ocean science and *** numerical technique comprises of Sumudu transform,homotopy perturbation scheme and He’s polynomial,namely homotopy perturbation Sumudu transform method(HPSTM)is efficiently used to examine time-fractional dispersive partial differential equation of third order in multi-dimensional *** approximate analytic solution of the time-fractional dispersive partial differential equation of third-order in multi-dimensional space obtained by HPSTM is compared with exact solution as well as the solution obtained by using Adomain decomposition *** results derived with the aid of two techniques are in a good agreement and consequently these techniques may be considered as an alternative and efficient approach for solving fractional partial differential *** test problems are experimented to confirm the accuracy and efficiency of the proposed methods.

关键词： Homotopy perturbation method Fractional trigonometric function He’s polynomials Adomian decomposition method Sumudu transform

Strategies to mitigate the adverse effect of drought stress on crop plants-influences of soil bacteria:A review

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Pedosphere 2021年第3期31卷 496-509页

作者： Priyanka CHANDRA Amoolya WUNNAVA Pooja VERMA Amaresh CHANDRA Rakesh Kumar SHARMA Indian Council of Agricultural Research(ICAR) Central Soil Salinity Research InstituteKarnalHaryana 132001India Department of Biosciences Manipal University JaipurRajasthanJaipur 303007India Indian Council of Agricultural Research(ICAR) Indian Institute of Sugarcane ResearchUttar PradeshLucknow 226002India

Drought stress affects plant growth and causes significant issues in meeting global demand for food crops and *** can cause physiological,physicochemical,and morphological changes in plants,which negatively affects plant growth and *** combat this under the increasing global threat of water shortage and rapid population expansion,it is crucial to develop strategies to meet global food *** growth-promoting rhizobacteria(PGPR)may provide a safe solution to enhancing crop yields through various *** soil bacteria can provide drought tolerance to crop plants,allowing them to survive and thrive in water-scarce *** of phytohormones,free radical-scavenging enzymes,and stress-combating enzymes that can increase tolerance to drought-induced stress are key features of plant-associated microbial *** review summarizes the beneficial properties of microbes that help plants tolerate water scarcity and highlights the bacterial mechanisms that enhance drought tolerance in plants.

关键词： abiotic stress agricultural yield drought tolerance food crops microbe PGPR rhizobactoria water deficit

p-TSA-catalyzed one-pot synthesis and docking studies of some 5H-indeno[ 1,2-b]quinoline-9,11 (6H,10H)-dione derivatives as anticonvulsant agents

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Chinese Chemical Letters 2016年第5期27卷 721-725页

作者： Kamaal Ahmed Balkrishna Dubey Sayyed Nadeem Birendra Shrivastava Pankaj Sharma Department of Pharmaceutical Chemistry TIT College of Pharmacy Anand Nagar Bhopal 462021 Madhya Pradesh India Department of Pharmacology Technocrats Institute of Technology-Pharmacy Anand Nagar Bhopal Modhya Pradesh 462021 India School of Pharmaceutical Sciences Jaipur National University Jaipur Rajasthan India

The present work describes a facile, one-pot three component environment friendly, green synthesis of a series of 5-（4-methoxyphenyl）-7,7-dimethyl-10-phenyl-7,8-dihydro-SH-indeno[ 1,2-b]quinoline- 9,11 （6H,10H）-dione derivatives 8（a-n）. 1,3-indanedione, awl-aldehyde and enaminone was thoroughly ground in the presence of catalytic amount of p-toluene sulfonic acid （p-TSA） to give the titled compounds in good yields. All the synthesized derivatives were evaluated for their anticonvulsant activity using the maximal electroshock （MES） method with phenytoin as a standard drug along with their neurotoxicity effect. Derivatives 8b, 8e and 8k exhibited significant anticonvulsant activity （P 〈 0.001）. The neurotoxicity study clearly revealed that all the tested compounds are non-toxic at a dose of 40 mg/kg. The molecular modeling studies also predicted good binding interactions of most active molecules with the serotonin 5-HT2A receptor. Therefore, it can be safely concluded that synthesized derivatives 8（a-n） would represent useful leads for further investigation in the development of a new class of anticonvulsant agents.

关键词： 5H-Indeno[1 2-b]quinoline One potp-toluene sulfonic acid (p-TSA) Anticonvulsant activity Molecular docking

Pulsatile blood flow through stenosed artery with axial translation

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International Journal of Biomathematics 2015年第3期8卷 1-21页

作者： Mukesh Kumar Sharma P. R. Sharma Vinay Nasha Department of MathematicsGuru Jambheshwar university of Science and Technology Hisar 125001 Haryana India Department of Mathematicsuniversity of Rajasthan Jaipur 302029 Rajasthan India

The study of pulsatile blood flow through axisymmetric stenosed artery subject to an axial translation has been attempted with hematocrit concentration-dependent blood viscosity. The heart contraction and subsequent relaxation generate periodic pressure gradient in blood flow and translation in the artery can be represented by Fourier series. Numerical data required for computing Fourier harmonics for the pressure gradient and acceleration in the artery has been simulated from pressure waveform graph and biplanar angiogram. Velocity field has been obtained by solving governing equation using variational Ritz method. The hemodynamic indicators WSS, AWSS, OSI, RRT are derived and computed numerically. The effects of thickness of stenosis, and hematocrit concentration index on these indicators are computed and analyzed through graphs.

关键词： Stenosis hematocrit pulsatile WSS oscillatory shear index relative residence time

Assessment of soil microbial and enzyme activity in the rhizosphere zone under different land use/cover of a semiarid region, India

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Ecological Processes 2021年第1期10卷 225-236页

作者： Archana Meena K.S.Rao Department of Botany University of RajasthanJaipurRajasthan 302004India. Natural Resource Management Laboratory Department of BotanyUniversity of DelhiNorth CampusDelhi 110007India.

Background:Land use/cover and management practices are widely known to influence soil organic matter(SOM)quality and *** present study investigated the effect of different land use,i.e.,forests *** forest cover(MFC),Prosopis juliflora(Sw.)DC-dominated forest cover(PFC),and cultivated sites *** field(AF),vegetable field(VF),respectively,on soil parameter,microbial activity,and enzymes involved in soil nutrient cycle in a semiarid region of ***:The results showed a significant reduction(P<0.05)in soil carbon(SC),soil nitrogen(SN)content(~30–80%)and consequently the soil microbial biomass carbon(SMBC)(~70–80%),soil basal respiration(SBR),soil substrate-induced respiration(SSIR),and soil enzyme activities(β-glucosidase,acid phosphatase,and dehydrogenase)under cultivated sites in comparison with forest ***’s correlation showed that a positive correlation of SC with SMBC,SBR,SSIR(P<0.01),and enzymatic activities(i.e.,β-glucosidase,dehydrogenase)(P<0.05)may imply the critical role of SC in regulating microbial and enzymatic ***,a positive correlation of soil moisture with urease activity(P<0.01)was found suggesting it as a significant abiotic factor for soil biological ***,based on the PCA analysis,we observed the clustering of SMBC/SC ratio and qCO_(2) nearby ***:Our study suggests that soil microbial parameters(SMBC,SBR,SSIR,SMBC/SC,qCO_(2))and enzyme activity are key indicators of soil health and *** use/cover alters the SOM content and soil microbial *** management strategies focusing on the conservation of natural forest and minimizing the land disturbances will be effective in preventing soil carbon flux as CO_(2) and maintaining the SC stock.

关键词： Land use changes Soil microbes Soil enzymes Semiarid ecosystems Land management practices

Stock values predictions using deep learning based hybrid models

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CAAI Transactions on Intelligence Technology 2022年第1期7卷 107-116页

作者： Konark Yadav Milind Yadav Sandeep Saini Department of Electronics and Communication Engineering The LNM Institute of Information TechnologyJaipurIndia Department of Computer Science and Engineering Rajasthan Technical UniversityKotaRajasthanIndia

Predicting the correct values of stock prices in fast fluctuating high-frequency financial data is always a challenging task.A deep learning-based model for live predictions of stock values is aimed to be developed *** authors'have proposed two models for different *** first one is based on Fast Recurrent Neural Networks(Fast RNNs).This model is used for stock price predictions for the first time in this *** second model is a hybrid deep learning model developed by utilising the best features of FastRNNs,Convolutional Neural Networks,and Bi-Directional Long Short Term Memory models to predict abrupt changes in the stock prices of a *** 1-min time interval stock data of four companies for a period of one and three days is *** with the lower Root Mean Squared Error(RMSE),the proposed models have low computational complexity as well,so that they can also be used for live *** models'performance is measured by the RMSE along with computation *** model outperforms Auto Regressive Integrated Moving Average,FBProphet,LSTM,and other proposed hybrid models on both RMSE and computation time for live predictions of stock values.

关键词： companies price stock

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

An efficient computational technique for time-fractional modified Degasperis-Procesi equation arising in propagation of nonlinear dispersive waves

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Journal of Ocean Engineering and Science 2021年第1期6卷 30-39页

作者： Ved Prakash Dubey Rajnesh Kumar Jagdev Singh Devendra Kumar Faculty of Mathematical and Statistical Sciences Shri Ramswaroop Memorial UniversityLucknow-Deva RoadUttar Pradesh-225003India Department of Applied Science and Humanities Government Engineering CollegeNawadaDepartment of Science and TechnologyBihar-805122India Department of Mathematics JECRC UniversityJaipur-303905RajasthanIndia Department of Mathematics University of RajasthanJaipur-302004RajasthanIndia

In this paper,an efficient hybrid numerical scheme which is based on a joint venture of the q-homotopy analysis method and Sumudu transform is applied to investigate the time-fractional modified Degasperis-Procesi(DP)*** present study considers the Caputo fractional *** fractional order modified DP model is very important and plays a great role in study of ocean engineering and *** proposed scheme provides a beautiful opportunity for proper selection of the auxiliary parameter h and the asymptotic parameterρ(≥1)to handle mainly the differential equations of nonlinear *** offered scheme produces the solution in the shape of a convergent series in a large admissible domain which is helpful to regulate the region of convergence of a series *** proposed work computes the approximate analytical solution of the fractional modified DP equation systematically and also presents graphically the variation of the obtained solution for diverse values of the fractional parameterβ.

关键词： Fractional Degasperis-Procesi equation Nonlinear dispersive waves Analytical solution q-homotopy analysis method Sumudu transform