检索结果-南通市图书馆

A novel sub 20 nm single gate tunnel field effect transistor with intrinsic channel for ultra low power applications

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Semiconductors 2016年第5期37卷 30-34页

作者： Pranav kumar Asthana yogesh Goswami Bahniman Ghosh Department of Electrical Engineering Indian Institute of Technology Kanpur Microelectronics Research Center University of Texas at Austin

We propose a nanoscale single gate ultra thin body intrinsic channel tunnel field effect transistor using the charge plasma concept for ultra low power applications. The characteristics of TFETs （having low leakage） are improved by junctionless TFETs through blending advantages of Junctionless FETs （with high on current）. We further improved the characteristics, simultaneously simplifying the structure at a very low power rating using an InAs channel. We found that the proposed device structure has reduced short channel effects and parasitics and provides high speed operation even at a very low supply voltage with low leakage. Simulations resulted in Iovv of - 9 × 10-16A/um, IoN of ,-20uA/um, ION/IoFF of--2× 1010, threshold voltage of 0.057 V, subthreshold slope of 7 mV/dec and DIBL of 86 mV/V for PolyGate/HfO2/InAs TFET at a temperature of 300 K, gate length of 20 nm, oxide thickness of 2 nm, film thickness of 10 nm, low-k spacer thickness of 10 nm and VDD of 0.2 V.

关键词： band-to-band tunneling (BTBT) tunnel field effect transistor (TFET) junctionless tunnel field effecttransistor (JLTFET) ION/IOFF ratio low power

Analyses of Lattice Traffic Flow Model on a Gradient Highway

在线全文

学校读者我要写书评

暂无评论

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

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

在线全文

学校读者我要写书评

暂无评论

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

Epidemiology of lung cancer and approaches for its prediction:a systematic review and analysis

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Chinese Journal of Cancer 2016年第9期35卷 455-467页

作者： Ashutosh kumar Dubey Umesh gupta Sonal Jain Institute of Engineering and Technology JK Lakshmipat UniversityNear

Background: Owing to the use of tobacco and the consumption of alcohol and adulterated food, worldwide cancer incidence is increasing at an alarming and frightening rate. Since the last decade of the twentieth century, lung cancer has been the most common cancer type. This study aimed to determine the global status of lung cancer and to evaluate the use of computational methods in the early detection of lung ***: We used lung cancer data from the United Kingdom(UK), the United States(US), India, and Egypt. For statistical analysis, we used incidence and mortality as well as survival rates to better understand the critical state of lung ***: In the UK and the US, we found a significant decrease in lung cancer mortalities in the period of 1990–2014, whereas, in India and Egypt, such a decrease was not much promising. Additionally, we observed that, in the UK and the US, the survival rates of women with lung cancer were higher than those of men. We observed that the data mining and evolutionary algorithms were efficient in lung cancer ***: Our findings provide an inclusive understanding of the incidences, mortalities, and survival rates of lung cancer in the UK, the US, India, and Egypt. The combined use of data mining and evolutionary algorithm can be efficient in lung cancer detection.

关键词：肺癌流行病学系统预测早期检测临界状态进化算法数据挖掘

Medical Data Clustering and Classification Using TLBO and Machine Learning Algorithms

在线全文

学校读者我要写书评

暂无评论

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

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

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

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)

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

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

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)

Improved thermoelectric property of cation-substituted CaMnO_3

在线全文

学校读者我要写书评

暂无评论

Chinese Physics B 2015年第9期24卷 542-547页

作者： Pradeep kumar Subhash C.Kashyap Vijay kumar Sharma H.C.gupta Department of Physics Shyam Lal CollegeUniversity of Delhi Department of Physics Indian Institute of Technology Delhi

Single-phase pristine and cation-substituted calcium manganite（Ca1-xBixMn1-yVyO3-δ） polycrystalline samples were synthesized by the solid state reaction technique. Their thermoelectric properties were measured by a set up that was designed and assembled in the laboratory. The Ca1-x BixMn1-yVyO3-δsample with x = y = 0.04 has shown a power factor（S^2σ） of 176 μW/m/K^2 at 423 K, which is nearly two orders of magnitude higher than that of the pristine sample（2.1 μW/m/K2）. The power factor of the substituted oxide remains almost temperature independent as the Seebeck coefficient increases monotonically with temperature, along with the simultaneous decrease in electrical resistivity which is attributed to enhanced electron density due to co-doping of bismuth and vanadium and grain boundary scattering. These cation-substituted calcium manganites can be used as a potential candidate for an n-type leg in a thermoelectric generator（module）.

关键词： thermoelectric materials solid state reaction Seebeck coefficient power factor

Comparative study of travelling-wave and numerical solutions for the coupled short pulse (CSP) equation

在线全文

学校读者我要写书评

暂无评论

Chinese Physics B 2013年第5期22卷 60-66页

作者： Vikas kumar R. K. gupta Ram Jiwari School of Mathematics and Computer Applications Thapar University

The Lie symmetry analysis is performed for the coupled short plus （CSP） equation. We derive the infinitesimals that admit the classical symmetry group. Five types arise depending on the nature of the Lie symmetry generator. In all types, we find reductions in terms of system of ordinary differential equations, and exact solutions of the CSP equation are derived, which are compared with numerical solutions using the classical fourth-order Runge-Kutta scheme.

关键词： coupled short pulse (CSP) equation Lie symmetric analysis Runge-Kutta scheme exact solutions