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

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Mitigating inter-area oscillation of an interconnected power system considering time varying delay 考虑时变时延的互联电力系统区域间振荡抑制
2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/ASPCON49795.2020.9276695
Anirban Sengupta, Subrat Kumar Pradhan, Dushmanta Kumar Das
{"title":"Mitigating inter-area oscillation of an interconnected power system considering time varying delay","authors":"Anirban Sengupta, Subrat Kumar Pradhan, Dushmanta Kumar Das","doi":"10.1109/ASPCON49795.2020.9276695","DOIUrl":"https://doi.org/10.1109/ASPCON49795.2020.9276695","url":null,"abstract":"A wide area damping controller to mitigate the frequency deviation of interconnected power system is designed in this paper. The test system considered here is a two area power system. Each area in the test system has two generators. A linear matrix inequality (LMI) based state feedback control law is designed with the help of Lyapunov-Krasovskii functional. A thyristor controlled series capacitor (TCSC) is used to provide sufficient damping in the interconnected power system. A supplementary damping controller (SDC) is also used with the TCSC. The effect of time delay in the control signal is also considered in this paper for the two area four machine power system.","PeriodicalId":193814,"journal":{"name":"2020 IEEE Applied Signal Processing Conference (ASPCON)","volume":"62 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":"123791825","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
Writer Identification based on Writing Individuality and Combination of Features 基于写作个性与特征组合的作家身份识别
2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/ASPCON49795.2020.9276700
Salankara Mukherjee, Ishita De Ghosh
{"title":"Writer Identification based on Writing Individuality and Combination of Features","authors":"Salankara Mukherjee, Ishita De Ghosh","doi":"10.1109/ASPCON49795.2020.9276700","DOIUrl":"https://doi.org/10.1109/ASPCON49795.2020.9276700","url":null,"abstract":"Individuality in handwriting occurs due to genetic as well as memetic factors. Memetic or cultural factors originate from training-related influences on pen-grip style and writing-strokes. This work presents a writer identification scheme using individuality of handwriting. Performance of such a scheme is greatly influenced by judicious selection off eatures and their combinations. In this work three types of features are selected, namely, line based, word based and character based. Importance of these features in writer identification is explored in the work. A dataset of English handwritten text samples written by subjects of Bengali origin and Bengali-medium schooling background is used for experimentation. Results are given for different combinations of features mentioned above. Emphasis is given on stroke features which include shapes like doughnut, hump, stick and stem-loop. They are found commonly in English lowercase letters. Best results obtained by using classifiers MLP and K-STAR are 93.54 percent and 95.69 percent respectively.","PeriodicalId":193814,"journal":{"name":"2020 IEEE Applied Signal Processing Conference (ASPCON)","volume":"104 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":"122582193","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
Operational Transconductance Amplifier (OTA) based Schmitt Trigger without passive elements 无无源元件的基于跨导运算放大器的施密特触发器
2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/ASPCON49795.2020.9276671
T D G Sharath Gowda, D. Kamat
{"title":"Operational Transconductance Amplifier (OTA) based Schmitt Trigger without passive elements","authors":"T D G Sharath Gowda, D. Kamat","doi":"10.1109/ASPCON49795.2020.9276671","DOIUrl":"https://doi.org/10.1109/ASPCON49795.2020.9276671","url":null,"abstract":"The paper reports a current-tunable Schmitt trigger with tunable hysteresis using only Operational Transconductance Amplifiers (OTAs). The Schmitt trigger circuit does not use passive elements which is suitable for an integrated circuit realization. The threshold voltages and the output saturation levels can easily be adjusted. Simulation results obtained using LTSpice are used to verify the functionality of the proposed circuit.","PeriodicalId":193814,"journal":{"name":"2020 IEEE Applied Signal Processing Conference (ASPCON)","volume":"8 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":"122466364","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
Feedback Control Topology of n-DOF Robotic Manipulator and Optimal Positioning of End-Effector using PSO n-DOF机械臂反馈控制拓扑及基于粒子群算法的末端执行器最优定位
2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/ASPCON49795.2020.9276677
Soumyendu Banerjee, G. Singh
{"title":"Feedback Control Topology of n-DOF Robotic Manipulator and Optimal Positioning of End-Effector using PSO","authors":"Soumyendu Banerjee, G. Singh","doi":"10.1109/ASPCON49795.2020.9276677","DOIUrl":"https://doi.org/10.1109/ASPCON49795.2020.9276677","url":null,"abstract":"In this work, optimal control of n-degrees of freedom (DOF) robotic manipulator, using particle swarm optimization (PSO), is proposed. Based on an arbitrary model of robotic manipulator, final position of end-effector was computed using four Denavit–Hartenberg (DH) parameters, associated with each link by forward kinematics. A feedback control topology was implemented that reduced the squared sum error, between the desired end-effector position and obtained end-effector position, in each iteration of PSO, within 3 dimensional cartesian space. The PSO provided optimized values of link parameters i.e. joint angles for revolute joints and link lengths for prismatic joints, so that the end-effector could be perfectly positioned at desired coordinate. This algorithm was successfully implemented in MATLAB/Simulink and tested on several arbitrary robotic manipulator with n-DOF system and it provided satisfactory result on controlling and positioning the end-effector.","PeriodicalId":193814,"journal":{"name":"2020 IEEE Applied Signal Processing Conference (ASPCON)","volume":"36 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":"114187798","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
Hand Gesture Localization and Classification by Deep Neural Network for Online Text Entry 基于深度神经网络的在线文本输入手势定位与分类
2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/ASPCON49795.2020.9276713
Shivraj Sharma, H. Pallab Jyoti Dutta, M. Bhuyan, R. Laskar
{"title":"Hand Gesture Localization and Classification by Deep Neural Network for Online Text Entry","authors":"Shivraj Sharma, H. Pallab Jyoti Dutta, M. Bhuyan, R. Laskar","doi":"10.1109/ASPCON49795.2020.9276713","DOIUrl":"https://doi.org/10.1109/ASPCON49795.2020.9276713","url":null,"abstract":"Hand gesture recognition is an important aspect of human-computer interaction. A proper hand gesture recognizing system can be used to build a robust text entry system for human-computer interface. This work proposes a real-time hand localization and recognition system. For hand localization, YOLOv3 is used that predicts a bounding box around the hand, and for hand gestures classification, a pretrained VGG16 network is employed. The bounding box regression technique helped localize the ROI (region of interest) and reduced the complexity, that aided in the classification task. The experimental results show that the proposed method is capable of recognizing the gestures with high testing accuracy on three benchmark datasets, namely, ASL (American sign language), Libras and NUS (National University of Singapore) datasets.","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":"128507345","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
Studies on Ageing Status of Epoxy Nano-Composites for Dry-Type Insulation using Electric Modulus 利用电模量研究干式绝缘用环氧纳米复合材料的老化状况
2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/ASPCON49795.2020.9276716
S. Maur, S. Dalai, B. Chatterjee
{"title":"Studies on Ageing Status of Epoxy Nano-Composites for Dry-Type Insulation using Electric Modulus","authors":"S. Maur, S. Dalai, B. Chatterjee","doi":"10.1109/ASPCON49795.2020.9276716","DOIUrl":"https://doi.org/10.1109/ASPCON49795.2020.9276716","url":null,"abstract":"This paper describes the ageing status of epoxy nano-composites based on frequency domain analysis. Frequency domain spectroscopy (FDS) analysis is a non-invasive technique to identify the condition of the insulation. Electric modulus and dissipation factor (tanδ) are the popular frequency domain spectroscopies for condition monitoring of dielectric insulation. An attempt is made to study the ageing (made by accelerated thermal heating) status using electric modulus (EM) and tanδ spectroscopy.","PeriodicalId":193814,"journal":{"name":"2020 IEEE Applied Signal Processing Conference (ASPCON)","volume":"124 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":"128497289","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
Person Identification using Spatial Variation of Cardiac Signal 基于心脏信号空间变化的人识别
2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/ASPCON49795.2020.9276728
Debasish Jyotishi, S. Dandapat
{"title":"Person Identification using Spatial Variation of Cardiac Signal","authors":"Debasish Jyotishi, S. Dandapat","doi":"10.1109/ASPCON49795.2020.9276728","DOIUrl":"https://doi.org/10.1109/ASPCON49795.2020.9276728","url":null,"abstract":"Data has become an absolute necessity due to the rapid developments in the field of Artificial Intelligence (AI) based systems. This requires user identification in almost all services, including healthcare services. ECG based biometry is an emerging technology that shows promising results as well as robustness against spoofing attack. Most of the works in this field have been done using one channel of ECG signal. Hence they don’t use the information on spatial variation of ECG signal, which is unique to every person. In this work, we have proposed a long short term memory(LSTM) based multichannel data fusion technique that can exploit the spatial variation of the ECG signal. The results show that better accuracy can be achieved using less amount of enrollment data. We have achieved an accuracy of 98.77% and 99.29% for person identification in PTB and MIT-BIH arrhythmia database, respectively.","PeriodicalId":193814,"journal":{"name":"2020 IEEE Applied Signal Processing Conference (ASPCON)","volume":"28 1 Suppl 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":"116567914","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
Plant Disease Detection Using CNN 利用CNN进行植物病害检测
2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/ASPCON49795.2020.9276722
Garima Shrestha, Deepsikha, Majolica Das, Naiwrita Dey
{"title":"Plant Disease Detection Using CNN","authors":"Garima Shrestha, Deepsikha, Majolica Das, Naiwrita Dey","doi":"10.1109/ASPCON49795.2020.9276722","DOIUrl":"https://doi.org/10.1109/ASPCON49795.2020.9276722","url":null,"abstract":"Agricultural productivity is a key component of Indian economy. Therefore the contribution of food crops and cash crops is highly important for both the environment and human beings. Every year crops succumb to several diseases. Due to inadequate diagnosis of such diseases and not knowing symptoms of the disease and its treatment many plants die. This study provides insights into an overview of the plant disease detection using different algorithms. A CNN based method for plant disease detection has been proposed here. Simulation study and analysis is done on sample images in terms of time complexity and the area of the infected region. It is done by image processing technique. A total of 15 cases have been fed to the model, out of which 12 cases are of diseased plant leaves namely, Bell Paper Bacterial Spot, Potato Early Blight, Potato Late Blight, Tomato Target Spot, Tomato Mosaic Virus, Tomato Yellow Leaf Curl Virus, Tomato Bacterial Spot, Tomato Early Blight, Tomato Late Blight, Tomato Leaf Mold, Tomato Septoria Leaf Spot and Tomato Spider Mites and 3 cases of healthy leaves namely, Bell Paper Healthy, Potato Healthy and Tomato Healthy. Test accuracy is obtained as 88.80%. Different performance matrices are derived for the same.","PeriodicalId":193814,"journal":{"name":"2020 IEEE Applied Signal Processing Conference (ASPCON)","volume":"15 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":"131925811","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: 69
Design of Decentralized Model Predictive Controller to Eliminate Low Frequency Oscillation in Power System 消除电力系统低频振荡的分散模型预测控制器设计
2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/ASPCON49795.2020.9276698
Anirban Sengupta, D. Das
{"title":"Design of Decentralized Model Predictive Controller to Eliminate Low Frequency Oscillation in Power System","authors":"Anirban Sengupta, D. Das","doi":"10.1109/ASPCON49795.2020.9276698","DOIUrl":"https://doi.org/10.1109/ASPCON49795.2020.9276698","url":null,"abstract":"In this paper, a decentralized model predictive controller (MPC) is designed for three machine infinite bus system. The objective of the MPC controller is to mitigate low frequency oscillation of power system. To validate the effectiveness of the controller a three machine power system is considered here. The MPC controller is placed as a decentralized controller. The behaviour of the MPC is observed with multi machine environment using both DC and AC excitation system. The behaviour of the MPC is also compared with centralized and decentralized control technique.","PeriodicalId":193814,"journal":{"name":"2020 IEEE Applied Signal Processing Conference (ASPCON)","volume":"2 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":"130482507","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
Estimation of Mesopic Adaptation Luminance under Different Surrounding Lighting Ambience 不同周围照明环境下介观自适应亮度的估计
2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/ASPCON49795.2020.9276655
S. Sahana, Dipanjan Datta, B. Roy
{"title":"Estimation of Mesopic Adaptation Luminance under Different Surrounding Lighting Ambience","authors":"S. Sahana, Dipanjan Datta, B. Roy","doi":"10.1109/ASPCON49795.2020.9276655","DOIUrl":"https://doi.org/10.1109/ASPCON49795.2020.9276655","url":null,"abstract":"The mesopic photometry system is responsible for visually effective and energy efficient lighting design for various roadway and outdoor lighting applications. In this paper variation of mesopic adaptation luminance and adaptation state of observer are experimentally investigated under different lamp combinations creating surrounding lighting ambience. Mesopic adaptation luminance is estimated in presence of two different surrounding lighting conditions obtained by two types of light sources of different spectral compositions i.e. yellow enriched warm white and blue enriched cool white. Detailed study of experimental results shows that spectral characteristics of surrounding light sources has notable effect on mesopic and adaptation luminance. The blue enriched white LED (WLED) lamp shows most effectual adaptation state of observer in presence of cool white surrounding ambience.","PeriodicalId":193814,"journal":{"name":"2020 IEEE Applied Signal Processing Conference (ASPCON)","volume":"16 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":"123205539","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
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