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Performance Analysis of Multilayer Coil Based MI Waveguide Communication System

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Computers, Materials & Continua 2022年第9期72卷 5287-5300页

作者： Sandeep N.Dandu Vinay Kumar Joydeep Sengupta Neeraj D.Bokde department of electronics and communications engineering Visvesvaraya National Institute of TechnologyNagpur440010India department of electronics and communications engineering Motilal Nehru National Institute of TechnologyPrayagraj211002India department of Civil and Architectural engineering-Design and Construction 8000AarhusDenmark

In the non-conventional media like underwater and underground,the Radio Frequency(RF)communication technique does not perform well due to large antenna size requirement and high path *** such media,magnetic induction(MI)communication technique is very promising due to small coil size and constant channel *** the RF technique,the communication range in MI technique is relatively *** enhance this range,a waveguide technique is already brought in *** technique employs single layer coils to enhance the performance of MI *** further enhance the system functioning,in this paper,we investigated the performance of multi-layer coil(MLC)antenna based MI waveguide communication system in terms of transmission range,path loss,bit error rate(BER)and ***,the system performance is quantitatively evaluated in three different non-conventional media viz.,dry soil,fresh water and wet *** compared with the single layer counterpart,the MLC system shows a significant improvement in transmission range,BER even in loosely coupled scenarios and shows a corresponding reduction in path ***,the bandwidth is observed to be low(<1 KHz).In this analysis,the eddy current effects and parasitic capacitance are compared for single and multilayer *** is observed that the proposed system performs better in dry soil medium due to less medium conductivity.

关键词： Communication magnetic induction multilayer coil waveguide system

Numerical and Experimental Investigation on the In-Flight Melting Behaviour of Granulated Powders in Induction Thermal Plasmas

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Plasma Science and technology 2009年第1期11卷 71-77页

作者：姚耀春 Md.M.HOSSAIN T.WATANABE National engineering Laboratory of Vacuum Metallurgy Kunming University of Science and Technology department of Environmental Chemistry and engineering Tokyo Institute of Technology department of electronics and communications engineering East West University

An innovative in-flight glass melting technology with thermal plasmas was developed for the purpose of energy conservation and environment protection. In this study, modelling and experiments of argon-oxygen induction thermal plasmas were conducted to investigate the melting behaviour of granulated soda-lime glass powders injected into the plasma. A two-dimensional local thermodynamic equilibrium （LTE） model was performed to simulate the heat and momentum transfer between plasma and particle. Results showed that the particle temperature was strongly affected by the flow rate of carrier gas and the particle size of raw material. A higher flow rate of carrier gas led to lower particle temperature and less energy transferred to particles which resulted in lower vitrification. The incomplete melting of large particles was attributed to the lower central temperature of the particle caused by a larger heat capacity. The numerical analysis explained well the experimental results, which can provide valuable practical guidelines for the process control in the melting process for the glass industry.

关键词： induction thermal plasmas size. heat transfer numerical modelling carrier gas flow rate particle

Device and circuit analysis of a sub 20 nm double gate MOSFET with gate stack using a look-up-table-based approach

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Journal of Semiconductors 2017年第12期38卷 37-41页

作者： S Chakraborty A Dasgupta R Das M Kar A Kundu C K Sarkar department of electronics and communications engineering heritage institute of technology Kolkata 700107India Nano Device Simulation Laboratory Department of Electronics and Telecommunication EngineeringJadavpur UniversityKolkata 700032India

In this paper, we explore the possibility of mapping devices designed in TCAD environment to its modeled version developed in cadence virtuoso environment using a look-up table （LUT） approach. Circuit simu- lation of newly designed devices in TCAD environment is a very slow and tedious process involving complex scripting. Hence, the LUT based modeling approach has been proposed as a faster and easier alternative in ca- dence environment. The LUTs are prepared by extracting data from the device characteristics obtained from device simulation in TCAD. A comparative study is shown between the TCAD simulation and the LUT-based alternative to showcase the accuracy of modeled devices. Finally the look-up table approach is used to evaluate the perform- ance of circuits implemented using 14 nm nMOSFET.

关键词： 14 nm double gate MOSFET look-up table VerilogA

A new protocol for concurrently allocating licensed spectrum to underlay cognitive users

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Digital communications and Networks 2018年第3期4卷 200-208页

作者： Sabyasachi Chatterjee Prabir Banerjee Mita Nasipuri department of electronics and Communication engineering Heritage Institute of Technology Kolkata India department of Computer Science engineering Jadavpur university Kolkata India

Cognitive radio technology makes efficient use of the valuable radio frequency spectrum in a non-interfering manner to solve the problem of spectrum scarcity. This paper aims to design a scheme for the concurrent use of licensed frequencies by Underlay Cognitive Users （UCUs）. We develop a new receiver-initiated Medium Access Control （MAC） protocol to facilitate the selections of alternative reliable carrier frequencies. A circuit is designed to establish reliable carrier selections based on the Received Signal Strength Indicator （RSSI） at the receiving end. Based on both packet-level simulations and various performance parameters, a comparison is carried out among conventional techniques, including the Multiple Access with Collision Avoidance （MACA） and MACA by invitation（MACA-BI） techniques, and our scheme. The simulated results demonstrate that when conventional techniques are used, the system overhead time increases from 0.5 s on the first attempt to 16.5 s on the sixth attempt. In the proposed scheme under the same failure condition, overhead time varies from 0.5 s to 2 s. This improvement is due to the complete elimination of the exponential waiting time that occurs during failed transmissions. An average efficiency of 60% is achieved with our scheme while only 43% and 34% average efficiencies are achieved with the MACA and MACA-BI techniques, respectively. The throughput performance of our scheme on the fourth attempt is 7 Mbps, whereas for the MACA and MACA-BI protocols, it is 1.9 Mbps and 2.2 Mbps respectively.

关键词： Exponential back-off time Interference temperature limit Medium-access control protocol Received signal strength indicator Underlay cognitive user

Computerised Gate Firing Control for 17-Level MLI using Staircase PWM

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Computer Systems Science & engineering 2023年第1期44卷 813-832页

作者： M.Geetha R.Vijayabhasker Suresh Seetharaman department of electronics and communications engineering Kalaignar Karunanidhi Institute of TechnologyCoimbatoreTamilnadu641402India department of Electrical and electronics engineering Anna UniversityRegional Centre CoimbatoreTamilnadu641046India

A basic 7-level MLI topology is developed and the same is extended to the 9-level then further increased to *** developed structure minimizes the component’s count and size to draw out the system *** the various advantages of MLIs,efficiency and reliability play a major role since the usage of components is higher for getting a low Total Harmonics Distortion(THD)*** becomes a major challenge incorporated in boosting the efficiency without affecting the THD *** parametric observations are done and realized for the designed 9-level and 17-level MLI,being the Total Standing Voltage(TSV),efficiency,cost function per level count,and power *** respective parameters are compared with several existing and modern circuits and found to be effective in their performance.A novel single-phase 17-level asymmetrical Multi-Level Inverter(MLI)topology is developed to reduce the number of overall *** developed topology generates 17-levels by using unequal DC *** developed MLI is proved under various tests con-ducted experimentally for the various loads like resistive,inductive,and combinational loads.A detailed comparison is done on several factors and represented graphically ***,the proposed design provides a less TSV value is 6 V_(dc),efficiency is 94.21%and cost factor per level CF/L value for both values ofαis 2.01 and 2.05 and devices count with a low THD value 41.4%with respectively.

关键词： Inverters 9-level and 17-level MLI switches count load current voltages round-robin staircase PWM

Design of a Proportional-Integral-Derivative Controller for an Automatic Generation Control of Multi-area Power Thermal Systems Using Firefly Algorithm

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IEEE/CAA Journal of Automatica Sinica 2019年第2期6卷 503-515页

作者： K.Jagatheesan B.Anand Sourav Samanta Nilanjan Dey Amira S.Ashour Valentina E.Balas the department of Electrical & electronics Eng. Mahendra Institute of Eng. & Tech. the department of Electrical & electronics Eng. Hindusthan College of Eng. & Tech. the department of Computer Science & engineering University Institute of Technology The University of Burdwan the department of Information technology Techno India College of Technology the department of electronics and Electrical communications engineering Faculty of Engineering Tanta University the Faculty of engineering Aurel Vlaicu University of Arad

Essentially, it is significant to supply the consumer with reliable and sufficient power. Since, power quality is measured by the consistency in frequency and power flow between control areas. Thus, in a power system operation and control,automatic generation control(AGC) plays a crucial role. In this paper, multi-area(Five areas: area 1, area 2, area 3, area 4 and area 5) reheat thermal power systems are considered with proportional-integral-derivative(PID) controller as a supplementary controller. Each area in the investigated power system is equipped with appropriate governor unit, turbine with reheater unit, generator and speed regulator unit. The PID controller parameters are optimized by considering nature bio-inspired firefly algorithm(FFA). The experimental results demonstrated the comparison of the proposed system performance(FFA-PID)with optimized PID controller based genetic algorithm(GAPID) and particle swarm optimization(PSO) technique(PSOPID) for the same investigated power system. The results proved the efficiency of employing the integral time absolute error(ITAE) cost function with one percent step load perturbation(1 % SLP) in area 1. The proposed system based FFA achieved the least settling time compared to using the GA or the PSO algorithms, while, it attained good results with respect to the peak overshoot/undershoot. In addition, the FFA performance is improved with the increased number of iterations which outperformed the other optimization algorithms based controller.

关键词： Automatic generation control(AGC) firefly algorithm genetic algorithm(GA) particle swarm optimization(PSO) proportional-integral-derivative(PID) controller

Reinforcement Learning to Improve QoS and Minimizing Delay in IoT

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Intelligent Automation & Soft Computing 2023年第5期36卷 1603-1612页

作者： Mahendrakumar Subramaniam V.Vedanarayanan Azath Mubarakali S.Sathiya Priya department of electronics and communications engineering Velalar College of Engineering and TechnologyErodeTamil NaduIndia department of electronics and Communication engineering Sathyabama Institute of Science and TechnologyChennaiTamil NaduIndia College of Computer Science King Khalid UniversityAbhaSaudi Arabia department of electronics and communications

Machine Learning concepts have raised executions in all knowledge domains,including the Internet of Thing(IoT)and several business *** of Service(QoS)has become an important problem in IoT surrounding since there is a vast explosion of connecting sensors,information and ***-sor data gathering is an efﬁcient solution to collect information from spatially dis-seminated IoT *** Learning Mechanism to improve the QoS(RLMQ)and use a Mobile Sink(MS)to minimize the delay in the wireless IoT s proposed in this ***,we use machine learning concepts like Rein-forcement Learning(RL)to improve the QoS and energy efﬁciency in the Wire-less Sensor Network(WSN).The MS collects the data from the Cluster Head(CH),and the RL incentive values select *** incentives value is computed by the QoS parameters such as minimum energy utilization,minimum bandwidth utilization,minimum hop count,and minimum time *** MS is used to col-lect the data from CH,thus minimizing the network *** sleep and awake scheduling is used for minimizing the CH dead in the *** work is simu-lated,and the results show that the RLMQ scheme performs better than the base-line *** prove that RLMQ increased the residual energy,throughput and minimized the network delay in the WSN.

关键词： Wireless sensor network quality of service parameters Internet of things reinforcement learning mobile sink

Broad-bandwidth and low-loss metamaterials:theory, design and realization

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Journal of Zhejiang University-Science A(Applied Physics & engineering) 2006年第1期7卷 5-23页

作者：李乐伟姚海英吴群陈志宁 department of Electrical and Computer engineering The National University of Singapore 119260 Singapore Department of Electronics and Communications Engineering Harbin Institute of Technology Harbin 150001 China department of Electrical and Computer engineering The National University of Singapore 119260 Singapore department of electronics and communications engineering Harbin Institute of TechnologyHarbin 150001 China department of Electrical and Computer engineering The National University of Singapore 119260 Singapore Institute for Infocomm Research 117674 Singapore

In this paper, we summarize some recent activities in the field of metamaterial research at the National University of Singapore (NUS). Integral equations are applied for electromagnetic modelling of supernatural materials. Some special charac- teristics of the metamaterials are shown. Moreover, quasi-static Lorentz theory and numerical method (i.e., the method of moments for solving the electric field integral equation) and the transmission line theory are both presented to obtain the effective consti- tutive relations of metamaterials, respectively. Finally, feasibility of fabricating metamaterials based on analysis of equivalent transmission line model in the microwave spectrum and even higher is also shown and correspondingly some broad-bandwidth and low-loss metamaterial structures are designed and synthesized.

关键词： Metamaterials Electric field integral equation (EFIE) Transmission line theory (TLT) Quasi-static Lorentz theory

Metaheuristic Optimization Algorithm for Signals Classification of Electroencephalography Channels

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Computers, Materials & Continua 2022年第6期71卷 4627-4641页

作者： Marwa M.Eid Fawaz Alassery Abdelhameed Ibrahim Mohamed Saber department of communications and electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt department of Computer engineering College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Computer engineering and Control Systems department Faculty of EngineeringMansoura UniversityMansoura35516Egypt department of electronics and communications engineering Faculty of EngineeringDelta University for Science and TechnologyMansoura11152Egypt

Digital signal processing of electroencephalography(EEG)data is now widely utilized in various applications,including motor imagery classification,seizure detection and prediction,emotion classification,mental task classification,drug impact identification and sleep state *** the increasing number of recorded EEG channels,it has become clear that effective channel selection algorithms are required for various *** Whale Optimization Method(Guided WOA),a suggested feature selection algorithm based on Stochastic Fractal Search(SFS)technique,evaluates the chosen subset of *** may be used to select the optimum EEG channels for use in Brain-Computer Interfaces(BCIs),the method for identifying essential and irrelevant characteristics in a dataset,and the complexity to be *** enables(SFS-Guided WOA)algorithm to choose the most appropriate EEG channels while assisting machine learning classification in its tasks and training the classifier with the ***(SFSGuided WOA)algorithm is superior in performance metrics,and statistical tests such as ANOVA and Wilcoxon rank-sum are used to demonstrate this.

关键词： Signals metaheuristics optimization feature selection multilayer perceptron support vector machines