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2020 IEEE Applied Signal Processing Conference (ASPCON)最新文献

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A Control Systems Laboratory Experiment on Transfer Function Emulation 传递函数仿真控制系统实验室实验
2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/ASPCON49795.2020.9276727
S. Dalapati
{"title":"A Control Systems Laboratory Experiment on Transfer Function Emulation","authors":"S. Dalapati","doi":"10.1109/ASPCON49795.2020.9276727","DOIUrl":"https://doi.org/10.1109/ASPCON49795.2020.9276727","url":null,"abstract":"This paper presents a low-cost experimenter kit for emulation of transfer function (TF) using a digital controller. The experimenter kit contains an on-board step input generator, an in-circuit-programmable digital controller and a simple OPAMP-based low-pass filter to present the final output of the synthesized transfer function. The use of this experimenter kit involves the knowledge of transfer-function-basics, elements of digital control, Z-transform and difference equation calculation principles. The set up is also accompanied by a template program for the digital controller, so as to enable the students to input the components of the TF-calculation easily, or use one’s own program using C-language. Using this experimenter kit, the students can synthesize numerous transfer functions, within a range of pole-locations, and observe the output from the experimenter kit using standard digital storage oscilloscope (DSO). A brief description of the set-up is presented, along with the pedagogical approach used. A method to ‘approximate’ the resulting difference equation is also presented. A few examples with results are presented to validate the usefulness of the set-up. The set-up encourages the student to follow the ‘do-it-yourself’ approach and gives the student an idea about implementing TFs in real-time using digital controllers.","PeriodicalId":193814,"journal":{"name":"2020 IEEE Applied Signal Processing Conference (ASPCON)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127297082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Application of Return Voltage Measurement for Space Charge Detection and Measurement in LDPE 返回电压测量在LDPE空间电荷检测与测量中的应用
2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/ASPCON49795.2020.9276673
N. Haque
{"title":"Application of Return Voltage Measurement for Space Charge Detection and Measurement in LDPE","authors":"N. Haque","doi":"10.1109/ASPCON49795.2020.9276673","DOIUrl":"https://doi.org/10.1109/ASPCON49795.2020.9276673","url":null,"abstract":"The phenomenon of return voltage build-up in dielectric materials has been explained from the concept of space charge accumulation. Return voltage build-up was observed in thin low density polyethylene samples after they were charged and discharged for specific intervals. A simple model based on the migration of space charges due to the internal electric field inside the charged sample was presented to explain the build-up of return voltage. From experimentally observed results space charge quantities such as charge density and distribution inside the sample were estimated. The proposed technique can be used for space charge mapping and insulation diagnostics in polymeric insulators in industrial laboratory applications.","PeriodicalId":193814,"journal":{"name":"2020 IEEE Applied Signal Processing Conference (ASPCON)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127460158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Low SNR Spatially Sparse Channel Estimation in Millimeterwave Hybrid MIMO Systems based on Adaptive Filtering Framework 基于自适应滤波框架的毫米波混合MIMO系统低信噪比空间稀疏信道估计
2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/ASPCON49795.2020.9276659
B. K. Das
{"title":"Low SNR Spatially Sparse Channel Estimation in Millimeterwave Hybrid MIMO Systems based on Adaptive Filtering Framework","authors":"B. K. Das","doi":"10.1109/ASPCON49795.2020.9276659","DOIUrl":"https://doi.org/10.1109/ASPCON49795.2020.9276659","url":null,"abstract":"In this paper, we propose an adaptive filtering framework for spatially sparse channel estimation technique applicable to millimeter wave (mmWave) multiple-input-multiple-output (MIMO) wireless communication with hybrid precoding. The proposed algorithm is claimed to be a viable alternative to the recently proposed compressed sensing based framework, especially the celebrated orthogonal matching pursuit (OMP) algorithm. The proposed algorithm helps to attain better performance than the existing algorithms in low SNR as we demonstrate by numerical simulations. The paper is an attempt to justify the use of sparse adaptive filtering framework for these particular application, and we choose a simple narrow-band, single user scenario to do that. In future, it can be extended to include frequency selective and multi user cases.","PeriodicalId":193814,"journal":{"name":"2020 IEEE Applied Signal Processing Conference (ASPCON)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115548873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Nonlinear PI or PD Controller using Fuzzy Logic-Analytical Modelling, and Computational and Performance Analysis 使用模糊逻辑的非线性 PI 或 PD 控制器--分析建模以及计算和性能分析
2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/ASPCON49795.2020.9276683
N. Arun
{"title":"Nonlinear PI or PD Controller using Fuzzy Logic-Analytical Modelling, and Computational and Performance Analysis","authors":"N. Arun","doi":"10.1109/ASPCON49795.2020.9276683","DOIUrl":"https://doi.org/10.1109/ASPCON49795.2020.9276683","url":null,"abstract":"This paper deals with analytical modelling of Mamdani type fuzzy PI or PD controller using Algebraic Sum (AS) OR operation. Smallest possible number of fuzzy sets (four input fuzzy sets and three output fuzzy sets) are chosen. L - type, Pi - type and Gamma - type membership functions, Algebraic Product (AP) and Minimum (Min) operators for performing AND operation, three linear fuzzy control rules, Larsen Product methodology (LP) for inferencing and Center of Sums (CoS) methodology for defuzzification are used for controller modelling. Two new models are obtained by using the combinations of these components of the fuzzy controller. The suitability of these models for control application is discussed by studying their properties. A numerical example is presented to analyze the performance of developed controller models.","PeriodicalId":193814,"journal":{"name":"2020 IEEE Applied Signal Processing Conference (ASPCON)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127281549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Scheme For Local Lightning Detection And Prediction System 一种局部雷电探测预报系统方案
2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/ASPCON49795.2020.9276699
Banibrata Ghosh, Antara Ghosh, D. Dey, S. Dalai, B. Chatterjee
{"title":"A Scheme For Local Lightning Detection And Prediction System","authors":"Banibrata Ghosh, Antara Ghosh, D. Dey, S. Dalai, B. Chatterjee","doi":"10.1109/ASPCON49795.2020.9276699","DOIUrl":"https://doi.org/10.1109/ASPCON49795.2020.9276699","url":null,"abstract":"This paper represents the scheme for the detection and prediction system of local lightning. Different types of environmental parameters have impact on lightning strikes. These parameters values are very volatile and location specific. Some of the dominant parameters, like electric field gradient, electric field strength and atmospheric pressure etc. have been considered to predict lightning strikes. For initial detection, AS3935 IC has been implemented with some modification which detects lightning strokes within some specific range. A Fuzzy inference system has been developed so that the prediction can be done using the dominant parameter values without having large prior dataset of lightning strikes of any specified location.","PeriodicalId":193814,"journal":{"name":"2020 IEEE Applied Signal Processing Conference (ASPCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130087924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Application of Computer Intelligence Method to Detect Islanding Phenomena in Microgrid Network 计算机智能方法在微电网孤岛现象检测中的应用
2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/ASPCON49795.2020.9276707
Koushik Chatterjee, A. De, Pradip Kumar Saha
{"title":"Application of Computer Intelligence Method to Detect Islanding Phenomena in Microgrid Network","authors":"Koushik Chatterjee, A. De, Pradip Kumar Saha","doi":"10.1109/ASPCON49795.2020.9276707","DOIUrl":"https://doi.org/10.1109/ASPCON49795.2020.9276707","url":null,"abstract":"Islanding is common operational issues experienced by the electrical microgrids, which can be perceived as a situation in which distributed generators (DGs) continue to supply local loads, while larger part of the electric power system loses power or when the grid power is unavailable. This can lead to abnormal operating voltage and frequency within the microgrid and can also prove to be dangerous for the operating personnel. The IEEE 1547 standard requires that such loss of grid connection be detected within two seconds and immediately trip the DGs to avoid the risk of such voltage and frequency limit violations. This paper presents a simple yet practical scheme for islanding detection in microgrid systems harnessing the capability of machine learning (ML) and computational intelligence (CI). The proposed scheme utilizes important features extracted from the microgrid’s operating variables using Principal Component Analysis (PCA) followed by Logistic Regression based pattern classification method to differentiate between islanded and non-islanded operating conditions. Case study on a 3-DG based microgrid system demonstrates that the proposed scheme is simple and yet effective in quickly detecting islanding situation in practical microgrids.","PeriodicalId":193814,"journal":{"name":"2020 IEEE Applied Signal Processing Conference (ASPCON)","volume":"284 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132230802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Correlation Factor-based Fault-Phase Detection for Series Compensated Transmission Line 基于相关因子的串联补偿输电线路故障相位检测
2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/ASPCON49795.2020.9276705
Saptarshi Roy, N. V. Phanendra Babu, P. Suresh Babu, N. N. Reddy
{"title":"Correlation Factor-based Fault-Phase Detection for Series Compensated Transmission Line","authors":"Saptarshi Roy, N. V. Phanendra Babu, P. Suresh Babu, N. N. Reddy","doi":"10.1109/ASPCON49795.2020.9276705","DOIUrl":"https://doi.org/10.1109/ASPCON49795.2020.9276705","url":null,"abstract":"Distance relays are designed to perform correctly on a resistive/inductive power system. If series capacitors are introduced, the voltage and current relationships deviate from their normal way especially when the fault levels are not sufficient to flash-over the gaps or to produce significant conduction in the Metal Oxide Varistors (MOV). A compensated line imposes problems to directional relaying schemes due to voltage and current inversion situations, operation of MOV which protects series capacitor and reactance modulation issues. In this paper, a novel methodology is proposed to identify faulty phases based on correlation factor computation. The presented method is tested on series capacitor compensated transmission lines (SCCTLs) for the IEEE-14 and IEEE-57 test systems. Simulation results show that the proposed method has identified the correct fault zone. Simulations are done using PSCAD/EMTDC platform.","PeriodicalId":193814,"journal":{"name":"2020 IEEE Applied Signal Processing Conference (ASPCON)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114381310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Performance Comparison of Neural Network based Equalizers for Wireless Communication Channels 基于神经网络的无线信道均衡器性能比较
2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/ASPCON49795.2020.9276686
Lopamudra Ghadei, H. K. Sahoo
{"title":"Performance Comparison of Neural Network based Equalizers for Wireless Communication Channels","authors":"Lopamudra Ghadei, H. K. Sahoo","doi":"10.1109/ASPCON49795.2020.9276686","DOIUrl":"https://doi.org/10.1109/ASPCON49795.2020.9276686","url":null,"abstract":"In this paper, artificial neural network (ANN) architectures are used to develop equalization models which are the basic requirements to design wireless communication receivers. Because wireless channels are affected by noise and multipath fading and the transmission is affected by a critical problem of inter symbol interference(ISI). Recurrent Neural Network (RNN) and Functional Link ANN(FLANN) using different functional expansions are used to design adaptive equalizers which can minimize the effect of ISI and improve BER performance of the receiver. The neural network based equalization models are trained using LMS algorithm. Other orthogonal polynomials such as Legendre and Hermite polynomials are used for expanding the input patterns in case of FLANN based equalizer . RNN equalizer uses feedback mechanism and the order of feedback filter depends on the number of delayed input samples. The performances of the equalizers are compared by evaluating bit error rate(BER), mean square error(MSE) and constellation diagram using MATLAB simulations. From the analyzed results, it is quite apparent that equalizer using RNN model consistently outperform FLANN based equalizers in terms of BER when L-ary PSK data is passed through a noisy nonlinear channel.","PeriodicalId":193814,"journal":{"name":"2020 IEEE Applied Signal Processing Conference (ASPCON)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115486493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Effect of Linewidth Enhancement Factor on the Second Harmonic Distortion of a Directly Modulated and Injected Fabry-Perot Semiconductor Laser 线宽增强因子对直接调制注入法布里-珀罗半导体激光器二次谐波畸变的影响
2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/ASPCON49795.2020.9276675
Meenakshi Chakraborty, P. Pal, T. Chattopadhyay
{"title":"Effect of Linewidth Enhancement Factor on the Second Harmonic Distortion of a Directly Modulated and Injected Fabry-Perot Semiconductor Laser","authors":"Meenakshi Chakraborty, P. Pal, T. Chattopadhyay","doi":"10.1109/ASPCON49795.2020.9276675","DOIUrl":"https://doi.org/10.1109/ASPCON49795.2020.9276675","url":null,"abstract":"The present paper describes novel analytical results on output second harmonic (2H) modulation distortion of an optically injected Fabry-Perot laser diode which is directly modulated by a 2H-contaminated radio frequency (RF) signal. It has been found that the larger the value of linewidth enhancement factor (LEF), the lesser is the tendency of output 2H modulation distortion to fall. For a non-zero value of LEF, the 2H distortion (2HD) tends to increase first with modulation frequency and finally falls off at higher modulation frequencies. The 2HD variation curve shows a resonance-like character.","PeriodicalId":193814,"journal":{"name":"2020 IEEE Applied Signal Processing Conference (ASPCON)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115570287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Performance Analysis of a Particle Swarm Optimization based Localization Algorithm in Wireless Sensor Network 基于粒子群优化的无线传感器网络定位算法性能分析
2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/ASPCON49795.2020.9276719
Tapan Kumar Mohanta, Ankur Rai, Dushmanta Kumar Das
{"title":"Performance Analysis of a Particle Swarm Optimization based Localization Algorithm in Wireless Sensor Network","authors":"Tapan Kumar Mohanta, Ankur Rai, Dushmanta Kumar Das","doi":"10.1109/ASPCON49795.2020.9276719","DOIUrl":"https://doi.org/10.1109/ASPCON49795.2020.9276719","url":null,"abstract":"Wireless sensor network (WSN) can be applied for sensing, collecting, processing and transmission of information. Most of the applications of WSNs are a few issues of localization problem. To minimize the drawback of basic Distance Vector-Hop algorithm, a Particle Swarm Optimization (PSO) based Distance Vector-Hop localization algorithm is presented in this paper. The validation of results are complied by simulation. Error variance, error accuracy with localization error have analyzed with the performance of implemented in Distance Vector algorithm. In this paper, error localization and variance are decreased and accuracy is increased.","PeriodicalId":193814,"journal":{"name":"2020 IEEE Applied Signal Processing Conference (ASPCON)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114197788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
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