检索结果-南通市图书馆

Optimal and Effective Resource Management in Edge Computing

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computer systems science & Engineering 2023年第2期44卷 1201-1217页

作者： Darpan Majumder s.mohan kumar Department of Information science and Engineering New Horizon College of Engineering Research CentreVisvesvaraya Technological University(VTU)BangaloreIndia Department of CsE Nagarjuna College of Engineering and TechnologyBangaloreIndia

Edge computing is a cloud computing extension where physical compu-ters are installed closer to the device to minimize *** task of edge data cen-ters is to include a growing abundance of applications with a small capability in comparison to conventional data *** this framework,Federated Learning was suggested to offer distributed data training strategies by the coordination of many mobile devices for the training of a popular Artiﬁcial Intelligence(AI)model without actually revealing the underlying data,which is signiﬁcantly enhanced in terms of *** learning(FL)is a recently developed decentralized profound learning methodology,where customers train their localized neural network models independently using private data,and then combine a global model on the core server *** models on the edge server use very little time since the edge server is highly *** the amount of time it takes to download data from smartphone users on the edge server has a signiﬁcant impact on the time it takes to complete a single cycle of FL operations.A machine learning strategic planning system that uses FL in conjunction to minimise model training time and total time utilisation,while recognising mobile appliance energy restrictions,is the focus of this *** further speed up integration and reduce the amount of data,it implements an optimization agent for the establishment of optimal aggregation policy and asylum architecture with several employees’shared *** main solutions and lessons learnt along with the prospects are *** show that our method is superior in terms of the effective and elastic use of resources.

关键词： Federated learning machine learning edge computing resource management

skin Lesion Classification system Using shearlets

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computer systems science & Engineering 2023年第1期44卷 833-844页

作者： s.mohan kumar T.Kumanan Department of Computer science and Engineering Meenakshi Academy of Higher Education and ResearchChennai600078Tamil NaduIndia

The main cause of skin cancer is the ultraviolet radiation of the *** spreads quickly to other body ***,early diagnosis is required to decrease the mortality rate due to skin *** this study,an automatic system for skin Lesion Classification(sLC)using Non-subsampled shearlet Transform(NssT)based energy features and support Vector Machine(sVM)classifier is ***,the NssT is used for the decomposition of input skin lesion images with different directions like 2,4,8 and *** the NssT’s sub-bands,energy fea-tures are extracted and stored in the feature database for *** classifier is used for the classification of skin lesion *** dermoscopic skin images are obtained from PH^(2) database which comprises of 200 dermoscopic color images with melanocytic *** performances of the sLC system are evaluated using the confusion matrix and Receiver Operating Characteristic(ROC)*** sLC system achieves 96%classification accuracy using NssT’s energy fea-tures obtained from 3^(rd) level with 8-directions.

关键词： skin lesion classification non-subsampled shearlet transform sub-band coefficients energy feature support vector machine

Effect of substrate and Annealing Temperatures on Mechanical Properties of Ti-rich NiTi Films

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 Materials science & Technology 2010年第11期26卷 961-966页

作者： A.kumar s.K.sharma s.Bysakh s.V.Kamat s.mohan Defence Metallurgical Research Laboratory Department of Instrumentation Indian Institute of Science Central Glass and Ceramics Research Institute

The effect of substrate and annealing temperatures on mechanical properties of Ti-rich NiTi films deposited on si （100） substrates by DC magnetron sputtering was studied by *** films were deposited at two substrate temperatures viz.300 and 400 ℃.NiTi films deposited at 300 ℃ were annealed for 4 h at four different temperatures,i.e.300,400,500 and 600 C whereas films deposited at 400 ℃ were annealed for 4 h at three different temperatures,i.e.400,500 and 600 ℃.The elastic modulus and hardness of the films were found to be the same in the as-deposited as well as annealed conditions for both substrate *** a given substrate temperature,the hardness and elastic modulus were found to remain unchanged as long as the films were ***,both elastic modulus and hardness showed an increase with increasing annealing temperature as the films become *** results were explained on the basis of the change in microstructure of the film with change in annealing temperature.

关键词： NiTi thin film Annealing Nanoindentation

Determining Potential Passive Islanding Detection Indicators for single-point single Inverter,single-point Multi-inverter and Multi-point Multi-inverter scenarios

在线全文

学校读者我要写书评

暂无评论

CsEE Journal of Power and Energy systems 2022年第3期8卷 696-709页

作者： Nitin kumar Kulkarni mohan Khedkar Department of Electrical Engineering Visvesvaraya National Institute of TechnologyNagpurIndia

Distributed Generation(DG)sources,predominantly renewable energy-based,such as solar photovoltaic and wind energy sources,have significantly penetrated into power system *** high penetration of DG sources may lead to the formation of unintentional islands,which is hazardous to both the equipment and personnel,if *** this paper,46 passive parameters are considered to find out which candidate(s)are promising for detecting sustained unintentional islands and avoid false DG *** 46 parameters are derived from point of common coupling(PCC)voltage,DG output current,frequency,power factor angle,active and reactive *** these parameters are tested on standard IEEE 13 and 34 bus distribution networks,integrated with inverter-interfaced DGs at different locations for different penetration levels in the MATLAB/sIMULINK *** parameters are tested for different islanding events(comprising of various local loads,such as conventional parallel RLC resonant load,R,RC,and RL loads)and for different non-islanding *** parameters are then ranked accordingly by a suitable averaging approach based performance ranking *** this analysis,the best candidates are obtained for detecting inverter DG islands at single-point(or single PCC)locations and multi-point(or multiple PCCs)*** best passive candidates are obtained for different island scenarios from which a set of promising islanding detection indicators are proposed.

关键词： Averaging approach inverter DG point of common coupling(PCC) passive parameters test system

Recent advances in catalytic combustion of AP-based composite solid propellants

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Defence Technology（防务技术） 2021年第3期17卷 1013-1031页

作者： Narendra Yadav Prem kumar srivastava mohan Varma Department of space Engineering&Rocketry India Department of Chemistry Birla Institute of TechnologyMesraRanchiIndia

Composite solid propellants(CsPs) have widely been used as main energy source for propelling the rockets in both space and military applications. Internal ballistic parameters of rockets like characteristic exhaust velocity, specific impulse, thrust, burning rate etc., are measured to assess and control the performance of rocket motors. The burn rate of solid propellants has been considered as most vital parameter for design of solid rocket motors to meet specific mission requirements. The burning rate of solid propellants can be tailored by using different constituents, extent of oxidizer loading and its particle size and more commonly by incorporating suitable combustion catalysts. Various metal oxides(MOs),complexes, metal powders and metal alloys have shown positive catalytic behaviour during the combustion of CsPs. These are usually solid-state catalysts that play multiple roles in combustion of CsPs such as reduction in activation energy, enhancement of rate of reaction, modification of sequences in reaction-phase, influence on condensed-phase combustion and participation in combustion process in gas-phase reactions. The application of nanoscale catalysts in CsPs has increased considerably in recent past due to their superior catalytic properties as compared to their bulk-sized counterparts. A large surface-to-volume ratio and quantum size effect of nanocatalysts are considered to be plausible reasons for improving the combustion characteristics of propellants. several efforts have been made to produce nanoscale combustion catalysts for advanced propellant formulations to improve their energetics. The work done so far is largely scattered. In this review, an effort has been made to introduce various combustion catalysts having at least a metallic entity. Recent developments of nanoscale combustion catalysts with their specific merits are discussed. The combustion chemistry of a typical CsP is briefly discussed for providing a better understanding on role of co

关键词： Composite solid propellants Burn rate modifier Metallic nano-catalysts Catalytic combustion Thermal decomposition

Thermodynamic behaviour of Rashba quantum dot in the presence of magnetic field

在线全文

学校读者我要写书评

暂无评论

Chinese Physics B 2016年第5期25卷 262-267页

作者： sukirti Gumber Manoj kumar Pradip kumar Jha Man mohan Department of Physics & Astrophysics University of Delhi Department of Physics DDU College University of Delhi

The thermodynamic properties of an In sb quantum dot have been investigated in the presence of Rashba spin–orbit interaction and a static magnetic field. The energy spectrum and wave-functions for the system are obtained by solving the schrodinger wave-equation analytically. These energy levels are employed to calculate the specific heat, entropy,magnetization and susceptibility of the quantum dot system using canonical formalism. It is observed that the system is susceptible to maximum heat absorption at a particular value of magnetic field which depends on the Rashba coupling parameter as well as the temperature. The variation of specific heat shows a schottky-like anomaly in the low temperature limit and rapidly converges to the value of 2kB with the further increase in temperature. The entropy of the quantum dot is found to be inversely proportional to the magnetic field but has a direct variation with temperature. The substantial effect of Rashba spin–orbit interaction on the magnetic properties of quantum dot is observed at low values of magnetic field and temperature.

关键词： quantum dot Rashba spin–orbit interaction thermal and magnetic properties

Feature selection with Deep Reinforcement Learning for Intrusion Detection system

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Computer systems science & Engineering 2023年第9期46卷 3339-3353页

作者： s.Priya K.Pradeep mohan kumar Department of Computer science and Engineering SRM Institute of Science and TechnologyRamapuramChennai600089India Department of Computing Technologies SRM Institute of Science and TechnologyKattankulathurChennai603203India

An intrusion detection system(IDs)becomes an important tool for ensuring security in the *** recent times,machine learning(ML)and deep learning(DL)models can be applied for the identification of intrusions over the network *** resolve the security issues,this paper presents a new Binary Butterfly Optimization algorithm based on Feature selection with DRL technique,called BBOFs-DRL for intrusion *** proposed BBOFsDRL model mainly accomplishes the recognition of intrusions in the *** attain this,the BBOFs-DRL model initially designs the BBOFs algorithm based on the traditional butterfly optimization algorithm(BOA)to elect feature ***,DRL model is employed for the proper identification and classification of intrusions that exist in the ***,beetle antenna search(BAs)technique is applied to tune the DRL parameters for enhanced intrusion detection *** ensuring the superior intrusion detection outcomes of the BBOFs-DRL model,a wide-ranging experimental analysis is performed against benchmark *** simulation results reported the supremacy of the BBOFs-DRL model over its recent state of art approaches.

关键词： Intrusion detection security reinforcement learning machine learning feature selection beetle antenna search

Effect of sm^+ Rare Earth Ion on the structural,Thermal,Mechanical and Optical Properties of Potassium Hydrogen Phthalate single Crystals

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 Materials science & Technology 2014年第1期30卷 13-18页

作者： s.sudhahar M.Krishna kumar V.Jayaramakrishnan R.Muralidharan R.mohan kumar Department of Physics Presidency College Department of Physics P.S.G.College of Arts and Science Department of science and Humanities Vel Tech High Tech Dr.Rangarajan Dr.Sakunthala Engineering College

Rare earth sm＋ ion doped potassium hydrogen phthalate （KHP） single crystal was grown by slow evaporation technique. single crystal and powder X-ray diffraction analyses confirm the crystalline perfection of sm＋ ion doped KHP crystal. The functional groups of pure and sm＋ ion doped KHP crystals were identified by Fourier transform infrared spectroscopy （FTIR） spectral studies. Thermogravimetric and differential thermal analyses were carried out to study the thermal behavior of the grown crystals. UV-Vis studies explored the optical transmittance of the grown crystals in the entire visible region. The mechanical strength and etching studies were performed to assess the perfection of the pure and sm＋ ion doped KHP crystals. The refractive index and birefringence properties of the grown crystal were analyzed. The second harmonic generation efficiency of sm＋ ion doped KHP crystals was observed by Kurtz-Perry powder test.

关键词： Crystal growth Potassium hydrogen phthalate (KHP) single crystal Differential thermal analysis FTIR Hardness

VARIABLE MEsH FINITE DIFFERENCE METHOD FOR sELF-ADJOINT sINGULARLY PERTURBED TWO-POINT BOUNDARY VALUE PROBLEMs

在线全文

学校读者我要写书评

暂无评论

Journal of Computational Mathematics 2010年第5期28卷 711-724页

作者： mohan K.Kadalbajoo Devendra kumar Department of Mathematics & statistics

A numerical method based on finite difference method with variable mesh is given for self-adjoint singularly perturbed two-point boundary value problems. To obtain parameter- uniform convergence, a variable mesh is constructed, which is dense in the boundary layer region and coarse in the outer region. The uniform convergence analysis of the method is discussed. The original problem is reduced to its normal form and the reduced problem is solved by finite difference method taking variable mesh. To support the efficiency of the method, several numerical examples have been considered.

关键词： singularly perturbed boundary value problems Finite difference method,Boundary layer Parameter uniform-convergence Variable mesh.