2020 IEEE Applied Signal Processing Conference (ASPCON)最新文献_第3页

Stabilization of Cart Inverted Pendulum System by 2-rate controllers based on PSO technique 基于粒子群算法的二速率控制器小车倒立摆系统的镇定

2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/ASPCON49795.2020.9276729

T. Saha, N. Murmu, S. Chakraborty, M. Maitra

引用次数: 0

Morphological Filter Aided GMM Technique for Lung Nodule Detection 形态学滤波辅助GMM技术检测肺结节

2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/ASPCON49795.2020.9276715

A. Halder, S. Chatterjee, D. Dey

引用次数: 1

Incremental Conductance based Adaptive Poleplacement MPPT Controller Design for Solar Photo Voltaic System 基于增量电导的太阳能光伏系统自适应极点置换MPPT控制器设计

2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/ASPCON49795.2020.9276661

Jagadeshwar Maddikari, D. Das

引用次数: 0

An Optimized Fractional-Order PID (FOPID) Controller for a Non-Linear Conical Tank Level Process 非线性锥形油箱液位过程的优化分数阶PID (FOPID)控制器

2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/ASPCON49795.2020.9276670

Mary Ann George, D. Kamath, I. Thirunavukkarasu

{"title":"An Optimized Fractional-Order PID (FOPID) Controller for a Non-Linear Conical Tank Level Process","authors":"Mary Ann George, D. Kamath, I. Thirunavukkarasu","doi":"10.1109/ASPCON49795.2020.9276670","DOIUrl":"https://doi.org/10.1109/ASPCON49795.2020.9276670","url":null,"abstract":"This work discusses the design of a non-integer-order PID controller for a non-linear conical tank liquid level process using Nelder-Mead (NM) algorithm and compares its performance with Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) based controllers. The paper presents the energy utilization of the actuator and compare its performance using both integer-order PID (IOPID) and fractional-order PID (FOPID) controllers. The conical tank consists of four operating regions with a height of 7 cm for each region. A first-order plus dead time (FOPDT) model of the conical tank process for a region between (14-21) cm is considered in this work, which is identified using the two-point method. The servo and regulatory responses of the conical tank system with IOPID and FOPID controllers are presented and performance indices are evaluated and compared. Both simulation and experimental results show that Nelder-Mead (NM) optimized FOPID controller has a better set-point tracking and controller response compared to the classical IOPID controller, PSO tuned FOPID, and GA tuned FOPID.","PeriodicalId":193814,"journal":{"name":"2020 IEEE Applied Signal Processing Conference (ASPCON)","volume":"17 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":"114075618","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: 4

Multiple Objective Modelling by Forming Dynamic Clusters of Peak Loads and Distributed Generations for Energy Management in Grid Connected Mode 并网模式下峰值负荷动态聚类及分布式发电的多目标建模

2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/ASPCON49795.2020.9276667

N. Manna, Arindam Kumar Sil

引用次数: 0

Removal of Noises from an ECG Signal Using an Adaptive S-Median Thresholding Technique 利用自适应s中值阈值技术去除心电信号中的噪声

2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/ASPCON49795.2020.9276706

Anusaka Gon, Atin Mukherjee

{"title":"Removal of Noises from an ECG Signal Using an Adaptive S-Median Thresholding Technique","authors":"Anusaka Gon, Atin Mukherjee","doi":"10.1109/ASPCON49795.2020.9276706","DOIUrl":"https://doi.org/10.1109/ASPCON49795.2020.9276706","url":null,"abstract":"The proposed work describes the process of eliminating the real-time noises that gets added during an electrocardiogram (ECG) recording. The real-time noises were taken from MIT-BIH noise stress database and added to clean ECG records, taken from MIT-BIH arrhythmia database. The noisy ECG signal is decomposed using discrete wavelet transform (DWT) algorithm. The signal decomposition is carried out by selecting the mother wavelets that looks similar in shape to an ECG signal. The Mean Square Error (MSE) between the mother wavelet and the clean ECG signal is calculated to choose the wavelet that gives the least MSE. The existing S-median threshold technique is made adaptive in this paper, by opting for threshold values that gives the lowest MSE with respect to cleaner levels. The proposed method is flexible to any decomposition levels and is applicable to both individual and composite noisy signals. The noise-free levels are retrieved back using soft thresholding. The proposed technique is evaluated on two different noise levels to verify its effectiveness. The comparison is carried out with existing thresholding techniques and the proposed method shows highest SNR improvement and lowest MSE values among others. The simulations are performed in Matlab and the time domain results are included to show the removal of unwanted noise with preservation of the important ECG features and its baseline.","PeriodicalId":193814,"journal":{"name":"2020 IEEE Applied Signal Processing Conference (ASPCON)","volume":"33 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":"128129847","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

Photoplethysmogram Signal Quality Evaluation by Unsupervised Learning Approach 基于无监督学习方法的光容积脉搏图信号质量评价

2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/ASPCON49795.2020.9276733

M. S. Roy, Rajarshi Gupta, K. D. Sharma

{"title":"Photoplethysmogram Signal Quality Evaluation by Unsupervised Learning Approach","authors":"M. S. Roy, Rajarshi Gupta, K. D. Sharma","doi":"10.1109/ASPCON49795.2020.9276733","DOIUrl":"https://doi.org/10.1109/ASPCON49795.2020.9276733","url":null,"abstract":"Photoplethysmography (PPG) is gradually becoming popular tool for cardiovascular and respiratory function monitoring under ambulatory condition. However, these measurements are prone to motion artifact (MA) corruption, and hence, signal quality assessment (SQA) is essential before computerized analysis. The published research on PPG SQA, mostly utilizing supervised learning approaches, suffer from the universality of feature selection against PPG morphology variability. Secondly, beat detection from the MA corrupted is a challenging task and partly limits the success of SQA utilizing beat segmenting approaches. The present research describes an unsupervised learning approach for identification of ‘clean’, ‘partly clean’ and ‘corrupted’ segments in the MA contaminated PPG data. Few entropy features and some signal complexity related features calculated by statistical methods in a 5 s window were fed to a self-organizing map (SOM) for direct quality assessment of PPG data. The number of input node to the SOM was 7 and the output was connected to a square matrix consisting of 25 nodes. The multiclass classification model achieved 94.10%, 89.27%, 92.67% accuracy score for the three classes respectively on 200 min of PPG data collected from 30 healthy and CVD human volunteers under mild to high level of hand movement. The model achieved better result than recently published work utilizing non-segmenting approach based PPG SQA.","PeriodicalId":193814,"journal":{"name":"2020 IEEE Applied Signal Processing Conference (ASPCON)","volume":"2016 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":"127505868","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: 17

Throughput and Error Function Joint optimization for CSS Based Field Area Network under Various Fading Environments 不同衰落环境下基于CSS的场域网络吞吐量和误差函数联合优化

2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/ASPCON49795.2020.9276663

Suvaditya Majumdar, S. Chattopadhyay, Suman Roy Ghatak, Vaishna Biswas

{"title":"Throughput and Error Function Joint optimization for CSS Based Field Area Network under Various Fading Environments","authors":"Suvaditya Majumdar, S. Chattopadhyay, Suman Roy Ghatak, Vaishna Biswas","doi":"10.1109/ASPCON49795.2020.9276663","DOIUrl":"https://doi.org/10.1109/ASPCON49795.2020.9276663","url":null,"abstract":"This work focuses on the application of Cooperative Spectrum Sensing (CSS) in a Field Area Network (FAN), such as a university campus, operating in a Cognitive Radio (CR) environment. It analyzes the unified performance of Energy Detection (ED) of Spectrum Sensing (SS) for generalized fading channels in Cognitive Radios (CRs). The primary objective of this work is to analyze the effects of large and small scale fading channels in CSS. Secondly, the effect of different fading channels on channel throughput and global error function is observed for different values of N in N-out-of-K-rule, where N and K represent selected Secondary Users and total number of Secondary Users respectively. Thirdly, the false alarm and miss-detection functions are evaluated for different values of N and K under various fading environments to choose an optimum value of N for the proposed rule so that it can be successfully implemented in a FAN. Finally, the performance of the proposed model is evaluated and compared with the performances of the models incorporating the existing voting rules, with respect to the number of Secondary Users (SUs) and types of fading channels.","PeriodicalId":193814,"journal":{"name":"2020 IEEE Applied Signal Processing Conference (ASPCON)","volume":"42 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":"131394159","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

ASPCON 2020 Index ASPCON 2020指数

2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/aspcon49795.2020.9276712

引用次数: 0

An Efficient Multiplier-less Hardware for Hidden Periodicity Detection Using Ramanujan Filter Bank 基于Ramanujan滤波器组的无乘法器隐藏周期检测

2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/ASPCON49795.2020.9276681

Arghadip Das, Chandrachur Majumder, Debaprasad De, M. K. Naskar

{"title":"An Efficient Multiplier-less Hardware for Hidden Periodicity Detection Using Ramanujan Filter Bank","authors":"Arghadip Das, Chandrachur Majumder, Debaprasad De, M. K. Naskar","doi":"10.1109/ASPCON49795.2020.9276681","DOIUrl":"https://doi.org/10.1109/ASPCON49795.2020.9276681","url":null,"abstract":"This paper presents an efficient multiplier-less architecture of hidden periodicity detector (HPD) using Ramanujan Filter Bank and its implementation on FPGA. The proposed hardware finds usage in many practical applications e.g. finding hidden periodicities in DNA and proteins, detecting absence seizures in the EEG signal, identifying periodic movements of cosmic bodies, etc. The algorithm used for hidden periodicity detection is based on Ramanujan Filter Bank (RFB). The novelty of the present work is in making the first attempt in designing dedicated hardware for hidden periodicity detection. Two different architectures based on RFB have been proposed - a classic architecture and a multiplier-less architecture. These are structurally modeled in Verilog HDL and implemented on Artix 7 FPGA kit. The multiplier-less architecture utilizes fewer hardware resources and is faster than the classic one due to a lower critical path delay. Thus, lesser chip area and higher operating frequency are achieved. The dedicated hardware is shown to be more than 1000 times faster than its software counterpart. An ideal hidden periodicity detector has also been introduced to present an accuracy analysis of the proposed architecture but the analysis is applicable for all kinds of hidden periodicity detectors.","PeriodicalId":193814,"journal":{"name":"2020 IEEE Applied Signal Processing Conference (ASPCON)","volume":"2 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":"133508773","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