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Journal of Central South University 2022年第4期29卷 1098-1106页

作者： Pabak MOHAPATRA nirmal kumar KUND Department of Production Engineering VSS University of TechnologyBurla 768018India

This study involves A356 alloy molded through ultrasonically vibrated cooling *** slope alongside ultrasonic power enables indispensable shear for engendering slurry from which the semisolid cast/heat treated billets got *** examination demonstrates ultrasonically vibrated cooling slope influencing the liquid fraction/microstructure/physical characteristics of stated *** investigation encompasses five diverse ultrasonic powers(0,75,150,200,250 W).The ultrasonic power of 150 W delivers finest/rounded microstructure with enhanced physical *** modifications reason physical transformations because of grain refinement and grain boundary/Hall-Petch strengthening.A smaller grain size reasons a higher strength/shape factor and an increased homogeneity reasons a higher *** characteristics get improved by *** is owing to coalescence throughout temperature *** physical characteristics is improved by reheating because of a reduced porosity and enhanced dissolution besides augmented homogeneity.A direct comparison remains impossible owing to unavailability of researches on ultrasonically vibrated cooling slope.

关键词： ultrasonic power microstructure physical characteristics semisolid cast A356 alloy cooling slope

Probing the compound effect of spatially varying intrinsic defects and doping on mechanical properties of hybrid graphene monolayers

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Journal of Materials Science & Technology 2020年第15期47卷 44-58页

作者： Kritesh kumar gupta Tanmoy Mukhopadhyay Aditya Roy Sudip Dey Department of Mechanical Engineering National Institute of Technology SilcharSilcharIndia Department of Aerospace Engineering Indian Institute of Technology KanpurKanpurIndia

Doping in pristine 2 D materials brings about the advantage of modulating wide range of mechanical properties ***,intrinsic defects(such as Stone-Wales and nanopore) in such hybrid materials are inevitable due to complex manu facturing and synthesis *** that,de fects and irregularities can be intentionally induced in a pristine nanostructure for multi-synchronous modulation of various multi-functional *** the case may be,in order to realistically analyse a doped graphene sheet,it is of utmost importance to investigate the compound effect of doping and defects in such 2 D *** we present a molecular dynamics based investigation for probing mechanical properties(such as Young’s modulus,post-elastic behaviour,failure strength and strain)of doped graphene(C14 and Si) coupling the effect of inevitable *** sensitivity of defect and doping are systematically analyzed considering different rational *** study reveals the effects of individual defects and doping along with their possible compounded influences on the failure stress,failure strain,Young’s modulus and constitutive relations beyond the elastic *** detailed mechanical characterization under the practically relevant compound effects would allow us to access the viability of adopting doped graphene in various multifunctional nanoelectromechanical devices and systems in a realistic situation.

关键词： Defect in graphene Doped graphene Defected 2D material Temperature-dependent mechanical properties Spatial sensitivity of defect and doping

An Effective Non-Commutative Encryption Approach with Optimized Genetic Algorithm for Ensuring Data Protection in Cloud Computing

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Computer Modeling in Engineering & Sciences 2020年第11期125卷 671-697页

作者： S.Jerald nirmal kumar S.Ravimaran M.M.Gowthul Alam Anna University Chennai600025India M.A.M College of Engineering Trichy621105India Sethu Institute of Technology Virudhunagar626115India

Nowadays,succeeding safe communication and protection-sensitive data from unauthorized access above public networks are the main worries in cloud ***,to secure both data and keys ensuring secured data storage and access,our proposed work designs a Novel Quantum Key Distribution(QKD)relying upon a non-commutative encryption *** makes use of a Novel Quantum Key Distribution approach,which guarantees high level secured data *** with this,a shared secret is generated using Diffie Hellman(DH)to certify secured key generation at reduced time ***,a non-commutative approach is used,which effectively allows the users to store and access the encrypted data into the cloud ***,to prevent data loss or corruption caused by the insiders in the cloud,Optimized Genetic Algorithm(OGA)is utilized,which effectively recovers the data and retrieve it if the missed data without *** is then followed with the decryption process as if requested by the *** our proposed framework ensures authentication and paves way for secure data access,with enhanced performance and reduced complexities experienced with the prior works.

关键词： Cloud computing quantum key distribution Diffie Hellman non-commutative approach genetic algorithm particle swarm optimization

Homotopy Perturbation Method for Time-Fractional Shock Wave Equation

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Advances in Applied Mathematics and Mechanics 2011年第6期3卷 774-783页

作者： Mithilesh Singh Praveen kumar gupta Department of Mathematics Dehradun Institute of TechnologyDehradunIndia Department of Applied Mathematics Institute of TechnologyBanaras Hindu UniversityVaranasiIndia

A scheme is developed to study numerical solution of the time-fractional shock wave equation and wave equation under initial conditions by the homotopy perturbation method(HPM).The fractional derivatives are taken in the Caputo *** solutions are given in the form of series with easily computable *** results are illustrated through the graph.

关键词： Partial differential equation fractional derivative shock wave equation homotopy perturbation method

Low-cost high entropy alloy(HEA)for high-efficiency oxygen evolution reaction(OER)

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Nano Research 2022年第6期15卷 4799-4806页

作者： Lalita Sharma nirmal kumar Katiyar Arko Parui Rakesh Das Ritesh kumar Chandra Sekhar Tiwary Abhisek K.Singh Aditi Halder Krishanu Biswas School of Basic Sciences Advanced Materials Research Centre(AMRC)Indian Institute of Technology Mandi(H.P)KamandMandi 175005India Department of Materials Science and Engineering Indian Institute of Technology KanpurKanpur 208016India School of Engineering London South Bank UniversityLondonSE10 AAUK Materials Research Centre Indian Institute of ScienceBangalore 560012India Metallurgical and Materials Engineering Indian Institute of Technology KharagpurKharagpur 382355India

Oxygen evolution reaction(OER)is the key step involved both in water splitting devices and rechargeable metal-air batteries,and hence,there is an urgent need for a stable and low-cost material for efficient *** the present investigation,Co-Fe-Ga-NiZn(CFGNZ)high entropy alloy(HEA)has been utilized as a low-cost electrocatalyst for ***,after cyclic voltammetry activation,CFGNZ-nanoparticles(NPs)are covered with oxidized surface and form high entropy(oxy)hydroxides(HEOs),exhibiting a low overpotential of 370 mV to achieve a current density of 10 mA/cm^(2)with a small Tafel slope of 71 mV/*** alloy has higher electrochemical stability in comparison to state-of-the art RuO2 electrocatalyst as no degradation has been observed up to 10 h of *** electron microscopy(TEM)studies after 10 h of long-term chronoamperometry test showed no change in the crystal structure,which confirmed the high stability of *** density functional theory(DFT)based calculations show that the closeness of d(p)-band centers to the Fermi level(EF)plays a major role in determining active *** work highlights the tremendous potential of CFGNZ HEA for OER,which is the primary reaction involved in water splitting.

关键词： high entropy alloy cyclic voltammetry activation oxygen evolution reaction electrocatalyst nanocrystalline catalyst

Projecting the criticality of COVID-19 transmission in India using GIS and machine learning methods

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Journal of Safety Science and Resilience 2021年第2期2卷 50-62页

作者： Farhan Mohammad Khan Akshay kumar Harish Puppala Gaurav kumar Rajiv gupta Department of Civil Engineering BITS PilaniPilaniRajasthanIndia BML Munjal University GurugramIndia

There is a new public health catastrophe forbidding the *** the advent and spread of 2019 novel coro-navirus(2019-nCoV).Learning from the experiences of various countries and the World Health Organization(WHO)guidelines,social distancing,use of sanitizers,thermal screening,quarantining,and provision of lock-down in the cities being the effective measure that can contain the spread of the *** complete lockdown helps in containing the spread,it generates complexity by breaking the economic activity ***,laborers,farmers,and workers may lose their daily *** to these detrimental effects,the government has to open the lockdown *** of the COVID-19 spread and analyzing when the cases would stop increasing helps in developing a *** attempt is made in this paper to predict the time after which the number of new cases stops rising,considering the strong implementation of lockdown conditions using three different techniques such as Decision Tree,Support Vector Machine,and Gaussian Process Regression algorithm are used to project the number of ***,the projections are used in identifying inflection points,which would help in planning the easing of lockdown in a few of the areas *** criticality in a region is evaluated using the criticality index(CI),which is proposed by authors in one of the past of research *** research work is made available in a dashboard to enable the decision-makers to combat the pandemic.

关键词： COVID-19 Machine learning Transmission Lockdown Gaussian process regression Support vector machine Decision tree

Analyses of Lattice Traffic Flow Model on a Gradient Highway

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Communications in Theoretical Physics 2014年第9期61卷 393-404页

作者： Arvind kumar gupta Sapna Sharma Poonam Redhu Department of Mathematics Indian Institute of Technology Ropar 140001 India School of Mathematical Sciences University of Science and Technology of China

The optimal current difference lattice hydrodynamic model is extended to investigate the traffic flow dynamics on a unidirectional single lane gradient highway. The effect of slope on uphill/downhill highway is examined through linear stability analysis and shown that the slope significantly affects the stability region on the phase *** nonlinear stability analysis, the Burgers, Korteweg-deVries(KdV) and modified Korteweg-deVries(mKdV) equations are derived in stable, metastable and unstable region, respectively. The effect of reaction coefficient is examined and concluded that it plays an important role in suppressing the traffic jams on a gradient highway. The theoretical findings have been verified through numerical simulation which confirm that the slope on a gradient highway significantly influence the traffic dynamics and traffic jam can be suppressed efficiently by considering the optimal current difference effect in the new lattice model.

关键词： traffic flow gradient highway stability analysis simulation

Medical Data Clustering and Classification Using TLBO and Machine Learning Algorithms

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Computers, Materials & Continua 2022年第3期70卷 4523-4543页

作者： Ashutosh kumar Dubey Umesh gupta Sonal Jain Chitkara University Institute of Engineering and Technology Chitkara UniversityPunjabIndia Institute of Engineering and Technology JK Lakshmipat UniversityJaipurIndia

This study aims to empirically analyze teaching-learning-based optimization(TLBO)and machine learning algorithms using k-means and fuzzy c-means(FCM)algorithms for their individual performance evaluation in terms of clustering and *** the first phase,the clustering(k-means and FCM)algorithms were employed independently and the clustering accuracy was evaluated using different *** the second phase,the non-clustered data obtained from the first phase were preprocessed with *** was performed using k-means(TLBO-KM)and FCM(TLBO-FCM)(TLBO-KM/FCM)*** objective function was determined by considering both minimization and maximization ***-clustered data obtained from the first phase were further utilized and fed as input for threshold *** benchmark datasets were considered from theUniversity of California,Irvine(UCI)Machine Learning Repository for comparative study and *** are breast cancer Wisconsin(BCW),Pima Indians Diabetes,Heart-Statlog,Hepatitis,and Cleveland Heart Disease *** combined average accuracy obtained collectively is approximately 99.4%in case of TLBO-KM and 98.6%in case of *** approach is also capable of finding the dominating *** findings indicate that TLBO-KM/FCM,considering different computational measures,perform well on the non-clustered data where k-means and FCM,if employed independently,fail to provide significant *** different feature sets,the TLBO-KM/FCM and SVM(GS)clearly outperformed all other classifiers in terms of sensitivity,specificity and ***/FCM attained the highest average sensitivity(98.7%),highest average specificity(98.4%)and highest average accuracy(99.4%)for 10-fold cross validation with different test data.

关键词： K-means FCM TLBO TLBO-KM TLBO-FCM TLBO-KM/FCM machine learning algorithms

Impact of open dumping of municipal solid waste on soil properties in mountainous region

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Journal of Rock Mechanics and Geotechnical Engineering 2018年第4期10卷 725-739页

作者： Anchal Sharma Ashok kumar gupta Rajiv Ganguly Department of Civil Engineering Jaypee University of Information Technology

This paper presents the effect of open dumping of municipal solid waste(MSW) on soil characteristics in the mountainous region of Himachal Pradesh, India. The solid waste of dumpsite contains various complex characteristics with organic fractions of the highest proportions. As leachate percolates into the soil, it migrates contaminants into the soil and affects soil stability and strength. The study includes the geotechnical investigation of dump soil characteristics and its comparison with the natural soil samples taken from outside the proximity of dumpsites. The geochemical analysis of dumpsite soil samples was also carried out by scanning electron microscopy(SEM) and energy dispersive X-ray spectroscopy(EDS).Visual inspection revealed that the MSW consists of high fraction of organics, followed by paper. The soil samples were collected from five trial pits in the dumpsites at depths of 0.5 m, 1 m and 1.5 m. Then the collected soil samples were subjected to specific gravity test, grain size analysis, Atterberg’s limit test,compaction test, direct shear test, California bearing ratio(CBR) test and permeability analysis. The study indicated that the dumpsite soils from four study regions show decreasing trends in the values of maximum dry density(MDD), specific gravity, cohesion and CBR, and increasing permeability as compared to the natural soil. The results show that the geotechnical properties of the soils at all four study locations have been severely hampered due to contamination induced by open dumping of waste.

关键词： Municipal solid waste (MSW) Physical characterization Soil pollution Open dumping Scanning electron microscopy (SEM) Energy disperse X-ray spectroscopy (EDS)

Power Quality Improvement and Signal Conditioning of PV Array and Grid Interfaced Off-board Charger for Electric Vehicles with V2G and G2V Capabilities

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Chinese Journal of Electrical Engineering 2023年第4期9卷 132-143页

作者： Shailendra kumar Tapesh Upadhyay Om Hari gupta Department of Electrical Engineering Indian Institute of TechnologyBhilai 492015India Department of Electrical Engineering Maulana Azad National Institute of Technology(MANIT)Bhopal 462003India Department of Electrical Engineering National Institute of TechnologyJamshedpur 831014India

In this work,we present a photovoltaic(PV)-based off-board charging system integrated with the grid using a voltage source converter(VSC).The control of the grid-tied off-board charger is derived from the joint logarithmic hyperbolic cosine robust sparse adaptive filter(JLHCAF)*** algorithm effectively tracks the fundamental component of the load current in a short duration,providing a good dynamic *** to its robustness against impulsive interference,the JLHCAF outperforms other sparsity-aware robust algorithms The cascaded proportional-integral(PI)controller is used to control the bidirectional buck-boost converter for electric vehicle(EV)charging/discharging,which acts in buck operation if the EV is being charged and in boost operation if it is *** reference DC link voltage for the controller is derived by using adaptive MPPT *** bidirectional properties of the system enable various functions,including grid-to-vehicle(G2V),vehicle-to-grid(V2G),PV source-to-grid(PV2G),vehicle-to-home(V2H),and PV source-to-vehicle(PV2V)***,the system can supply power to critical nonlinear *** control strategy ensures compliance with the power quality requirements set by the IEEE standard,as demonstrated in the *** validate the effectiveness of the proposed system,we conducted tests under dynamic conditions by disconnecting and reconnecting household ***,the off-board charging system was subjected to actual conditions,such as variations in solar PV insolation,and its steady-state performance was evaluated through simulation and laboratory experimental *** results,including total harmonic distortion(THD),support the validation of the developed charging system.

关键词： Grid to vehicle(G2V) vehicle to grid(V2G) off-board charger(OBC) power quality total harmonic distortion(THD) electrical vehicles(EVs)