Pub Date : 2020-11-16DOI: 10.1109/TENCON50793.2020.9293769
Jehriel Joseph S. Casunuran, Christine Rose C. Quiambao, Matthew E. Fordan, Aldrin J. Soriano, M. G. Beaño, Ericson A. Mandayo, Bernie B. Domingo
Over the years, the manual checking of attendance has been carried across most of the educational institutions. Manual attendance monitoring results in a lot of time consumed. To overcome the problem for manual attendance, the researchers proposed a Quick Response (QR) Code Attendance System with SMS Location Tracker that can provide information about the student’s arrival and departure time in school. The main purpose of the study is to design a QR Code Attendance System to improve the manual/traditional attendance and to provide a Global Positioning System (GPS) that can track the location of the students. The researchers used an Incremental Methodology to approach the study. It is a method in which the product is incrementally designed, implemented, and evaluated until the product is complete. The design project was tested and evaluated by 50 users and 10 experts. Based on the series of testing the system can provide an easier and more convenient recording and checking of attendance using the QR Code Scanner, it is also capable of providing the information about attendance by sending a text message and can provide location by requesting on the Android Application.
{"title":"Quick Response Code Attendance System with SMS Location Tracker","authors":"Jehriel Joseph S. Casunuran, Christine Rose C. Quiambao, Matthew E. Fordan, Aldrin J. Soriano, M. G. Beaño, Ericson A. Mandayo, Bernie B. Domingo","doi":"10.1109/TENCON50793.2020.9293769","DOIUrl":"https://doi.org/10.1109/TENCON50793.2020.9293769","url":null,"abstract":"Over the years, the manual checking of attendance has been carried across most of the educational institutions. Manual attendance monitoring results in a lot of time consumed. To overcome the problem for manual attendance, the researchers proposed a Quick Response (QR) Code Attendance System with SMS Location Tracker that can provide information about the student’s arrival and departure time in school. The main purpose of the study is to design a QR Code Attendance System to improve the manual/traditional attendance and to provide a Global Positioning System (GPS) that can track the location of the students. The researchers used an Incremental Methodology to approach the study. It is a method in which the product is incrementally designed, implemented, and evaluated until the product is complete. The design project was tested and evaluated by 50 users and 10 experts. Based on the series of testing the system can provide an easier and more convenient recording and checking of attendance using the QR Code Scanner, it is also capable of providing the information about attendance by sending a text message and can provide location by requesting on the Android Application.","PeriodicalId":283131,"journal":{"name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134083331","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}
Pub Date : 2020-11-16DOI: 10.1109/TENCON50793.2020.9293725
Tetsuya Yabiku, M. Sugimura, A. Hemeida, P. Mandal, Hiroshi Takahashi, T. Senjyu
This papaer presents the problem of optimizing the annual operation, equipment configuration and capacity in a smart city with renewable energy and Combined Cooling Heating and Power (CCHP). The effectiveness of this study is demonstrated by comparing the case where renewable energy and CCHP are introduced and the case where only electricity purchased from the electric utility is used.
{"title":"Optimal Operation Planning for Renewable Energy and CCHP in Smart City","authors":"Tetsuya Yabiku, M. Sugimura, A. Hemeida, P. Mandal, Hiroshi Takahashi, T. Senjyu","doi":"10.1109/TENCON50793.2020.9293725","DOIUrl":"https://doi.org/10.1109/TENCON50793.2020.9293725","url":null,"abstract":"This papaer presents the problem of optimizing the annual operation, equipment configuration and capacity in a smart city with renewable energy and Combined Cooling Heating and Power (CCHP). The effectiveness of this study is demonstrated by comparing the case where renewable energy and CCHP are introduced and the case where only electricity purchased from the electric utility is used.","PeriodicalId":283131,"journal":{"name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127653121","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}
Pub Date : 2020-11-16DOI: 10.1109/TENCON50793.2020.9293902
G. Sarker
Major tools to implement any Artificial Intelligence and Machine Learning systems are Symbolic AI and Artificial Neural Network (ANN) AI. ANN has made a dramatic improvement in the versatile area of Machine Learning (ML). ANN is a gathering of vast number of weighted interconnected artificial neurons, initially invented with the inspiration of biological neurons. These models are much better than previous models implemented with Symbolic AI so far as their performance is concerned. One revolutionary change in ANN is Convolution Neural Network (CNN). These structures are mainly suitable for complex pattern recognition tasks within images. Here we would discuss basics of ANN as a tool for complex pattern recognition and image processing task. Also some applications of the CNN tool we will present OCR based text translation and biometric based uni modal and multimodal person identification systems.
{"title":"A Survey on Convolution Neural Networks","authors":"G. Sarker","doi":"10.1109/TENCON50793.2020.9293902","DOIUrl":"https://doi.org/10.1109/TENCON50793.2020.9293902","url":null,"abstract":"Major tools to implement any Artificial Intelligence and Machine Learning systems are Symbolic AI and Artificial Neural Network (ANN) AI. ANN has made a dramatic improvement in the versatile area of Machine Learning (ML). ANN is a gathering of vast number of weighted interconnected artificial neurons, initially invented with the inspiration of biological neurons. These models are much better than previous models implemented with Symbolic AI so far as their performance is concerned. One revolutionary change in ANN is Convolution Neural Network (CNN). These structures are mainly suitable for complex pattern recognition tasks within images. Here we would discuss basics of ANN as a tool for complex pattern recognition and image processing task. Also some applications of the CNN tool we will present OCR based text translation and biometric based uni modal and multimodal person identification systems.","PeriodicalId":283131,"journal":{"name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127755570","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}
Pub Date : 2020-11-16DOI: 10.1109/TENCON50793.2020.9293792
A. Pandey, Saubhik Kumar, B. Rajendran, B. Bindhumadhava
Online examinations have become the norm, owing to the global Covid-19 pandemic in various academic settings such as schools, colleges etc… and even for job selection. The existing applications in this space, do not assure against fraudulent practices, though some of them are highly restrictive and constrain the candidates severely. We propose our system e-Parakh, an online examination system that can be used by the candidate even from his mobile phone app, which significantly reduces the resource requirements and therefore the cost involved for the candidate. The application also facilitates both supervised and unsupervised remote monitoring of the examination, through a variety of techniques including live video and audio streaming of not only the candidate, but also the candidate’s surrounding environment, liveliness check of the candidate, facial comparison of the candidate with his/her photograph etc.. This application provides the evaluator to cross-check the candidate activity at any time during the examination as well as after the examination by recording the whole video and audio.
{"title":"e-Parakh: Unsupervised Online Examination System","authors":"A. Pandey, Saubhik Kumar, B. Rajendran, B. Bindhumadhava","doi":"10.1109/TENCON50793.2020.9293792","DOIUrl":"https://doi.org/10.1109/TENCON50793.2020.9293792","url":null,"abstract":"Online examinations have become the norm, owing to the global Covid-19 pandemic in various academic settings such as schools, colleges etc… and even for job selection. The existing applications in this space, do not assure against fraudulent practices, though some of them are highly restrictive and constrain the candidates severely. We propose our system e-Parakh, an online examination system that can be used by the candidate even from his mobile phone app, which significantly reduces the resource requirements and therefore the cost involved for the candidate. The application also facilitates both supervised and unsupervised remote monitoring of the examination, through a variety of techniques including live video and audio streaming of not only the candidate, but also the candidate’s surrounding environment, liveliness check of the candidate, facial comparison of the candidate with his/her photograph etc.. This application provides the evaluator to cross-check the candidate activity at any time during the examination as well as after the examination by recording the whole video and audio.","PeriodicalId":283131,"journal":{"name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116856851","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}
Pub Date : 2020-11-16DOI: 10.1109/TENCON50793.2020.9293827
Ryo Torihara, Nay Zaw Latt, May Oo Khin, Y. Lwin, T. Sakoda, Noriyuki Hayashi
The intent of this paper is to analyze the power consumption or heat dissipation of defective bypass diode (BPD) at open circuit (OC) and maximum power point (MPP) load conditions when the BPD turns to have resistive behavior in a photovoltaic (PV) string and array. We also analyze the thermal impact of defective BPD in a PV string under different irradiances and cell temperatures. It was observed that the power consumption of defective BPD largely depends on load condition and the thermal impact is more severe in OC condition. It was also observed that the thermal impact of defective BPD is larger under either high irradiance level for the same cell temperature or lower cell temperature on the same irradiance. This study indicates that it is necessary to monitor the heat dissipation of BPDs and to evaluate the electrical properties of the BPDs to realize the reliable PV systems.
{"title":"Influence of Defective Bypass Diodes on Electrical and Thermal Properties of Photovoltaic String and Array","authors":"Ryo Torihara, Nay Zaw Latt, May Oo Khin, Y. Lwin, T. Sakoda, Noriyuki Hayashi","doi":"10.1109/TENCON50793.2020.9293827","DOIUrl":"https://doi.org/10.1109/TENCON50793.2020.9293827","url":null,"abstract":"The intent of this paper is to analyze the power consumption or heat dissipation of defective bypass diode (BPD) at open circuit (OC) and maximum power point (MPP) load conditions when the BPD turns to have resistive behavior in a photovoltaic (PV) string and array. We also analyze the thermal impact of defective BPD in a PV string under different irradiances and cell temperatures. It was observed that the power consumption of defective BPD largely depends on load condition and the thermal impact is more severe in OC condition. It was also observed that the thermal impact of defective BPD is larger under either high irradiance level for the same cell temperature or lower cell temperature on the same irradiance. This study indicates that it is necessary to monitor the heat dissipation of BPDs and to evaluate the electrical properties of the BPDs to realize the reliable PV systems.","PeriodicalId":283131,"journal":{"name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114549400","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}
Pub Date : 2020-11-16DOI: 10.1109/TENCON50793.2020.9293711
Kosuke Tomura, Y. Sanada, Yutaro Kobayashi
In this paper, block parallel Gibbs sampling (BPGS) multiple-input multiple-output (MIMO) detection is proposed. In a conventional Gibbs sampling scheme, MIMO detection is carried out sequentially symbol-by-symbol. The proposed scheme divides a symbol vector to blocks and updates candidate transmit symbols in parallel in a block so that the total number of iterations in a unit period increases. Furthermore, maximum ratio combining (MRC) is adopted to BPGS to improve accuracy in this paper. Numerical results obtained through computer simulations show that bit error rate performance under high bit-energy-to-noise-spectrum-density conditions improves with the proposed scheme. It is also shown that the block size of three achieves the best performance when number of antennas is 16×16 and the number of iterations is 50.
{"title":"MIMO Detection with Block Parallel Gibbs Sampling and Maximum Ratio Combining","authors":"Kosuke Tomura, Y. Sanada, Yutaro Kobayashi","doi":"10.1109/TENCON50793.2020.9293711","DOIUrl":"https://doi.org/10.1109/TENCON50793.2020.9293711","url":null,"abstract":"In this paper, block parallel Gibbs sampling (BPGS) multiple-input multiple-output (MIMO) detection is proposed. In a conventional Gibbs sampling scheme, MIMO detection is carried out sequentially symbol-by-symbol. The proposed scheme divides a symbol vector to blocks and updates candidate transmit symbols in parallel in a block so that the total number of iterations in a unit period increases. Furthermore, maximum ratio combining (MRC) is adopted to BPGS to improve accuracy in this paper. Numerical results obtained through computer simulations show that bit error rate performance under high bit-energy-to-noise-spectrum-density conditions improves with the proposed scheme. It is also shown that the block size of three achieves the best performance when number of antennas is 16×16 and the number of iterations is 50.","PeriodicalId":283131,"journal":{"name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127421297","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}
Pub Date : 2020-11-16DOI: 10.1109/TENCON50793.2020.9293777
Maverick Jonas G. Adonis, R. Forteza, A. Ramos, A. Alvarez, M. T. D. Leon, J. Hizon, Maria Patricia Rouelli Sabino-Santos, Christopher G. Santos, M. Rosales
A method for extracting lettuce phenotypic features using an ARTY A7-35T FPGA platform is proposed. Image acquisition is done by interfacing an OV7670 CMOS camera with FPGA and saving image data on DDR3 memory. The image processing techniques firstly involve color model conversion for saturation enhancement. Then, binarization is done as an initial step in background discrimination, using a threshold value on the green channel of image. To construct a solid figure for foreground, morphological transformations are implemented. Then, pixel count of foreground white pixels are used as an argument in the computation of lettuce canopy area. The FPGA implementation consumes 85.89% of total LUTs resources of the chosen FPGA board with errors as low as 1.28% on the computed canopy area value compared with a MATLAB benchmark. Power consumption reached up to 1.73W, with a total calculated latency of 596.51 ms from image acquisition to canopy area value.
{"title":"FPGA-based Features Extraction Sensor for Lettuce Crop","authors":"Maverick Jonas G. Adonis, R. Forteza, A. Ramos, A. Alvarez, M. T. D. Leon, J. Hizon, Maria Patricia Rouelli Sabino-Santos, Christopher G. Santos, M. Rosales","doi":"10.1109/TENCON50793.2020.9293777","DOIUrl":"https://doi.org/10.1109/TENCON50793.2020.9293777","url":null,"abstract":"A method for extracting lettuce phenotypic features using an ARTY A7-35T FPGA platform is proposed. Image acquisition is done by interfacing an OV7670 CMOS camera with FPGA and saving image data on DDR3 memory. The image processing techniques firstly involve color model conversion for saturation enhancement. Then, binarization is done as an initial step in background discrimination, using a threshold value on the green channel of image. To construct a solid figure for foreground, morphological transformations are implemented. Then, pixel count of foreground white pixels are used as an argument in the computation of lettuce canopy area. The FPGA implementation consumes 85.89% of total LUTs resources of the chosen FPGA board with errors as low as 1.28% on the computed canopy area value compared with a MATLAB benchmark. Power consumption reached up to 1.73W, with a total calculated latency of 596.51 ms from image acquisition to canopy area value.","PeriodicalId":283131,"journal":{"name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125272809","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}
Pub Date : 2020-11-16DOI: 10.1109/TENCON50793.2020.9293862
Yang Zhou, A. Ohashi, K. Takaba
This paper introduces a model predictive control approach of an unmanned aerial vehicle (UAV) with the aid of a feedback linearization. As is well known, the feedback linearization is one of the effective techniques to cope with the nonlinearity of dynamical systems. Since the UAV is an underactuated nonlinear system, it is impossible to exactly linearize the dynamics of the UAV. Therefore, we take an approach to linearize only the translational motion, and then apply the linear optimal control to it. However, the UAV is easily affected by wind disturbances in an actual environment. A model predictive control is proposed to cope with the disturbances. We apply this approach to a landing control of the UAV to a moving ground vehicle. The effectiveness of the proposed method is verified by numerical simulations.
{"title":"Model Predictive Landing Control of an Unmanned Aerial Vehicle via Partial Feedback Linearization","authors":"Yang Zhou, A. Ohashi, K. Takaba","doi":"10.1109/TENCON50793.2020.9293862","DOIUrl":"https://doi.org/10.1109/TENCON50793.2020.9293862","url":null,"abstract":"This paper introduces a model predictive control approach of an unmanned aerial vehicle (UAV) with the aid of a feedback linearization. As is well known, the feedback linearization is one of the effective techniques to cope with the nonlinearity of dynamical systems. Since the UAV is an underactuated nonlinear system, it is impossible to exactly linearize the dynamics of the UAV. Therefore, we take an approach to linearize only the translational motion, and then apply the linear optimal control to it. However, the UAV is easily affected by wind disturbances in an actual environment. A model predictive control is proposed to cope with the disturbances. We apply this approach to a landing control of the UAV to a moving ground vehicle. The effectiveness of the proposed method is verified by numerical simulations.","PeriodicalId":283131,"journal":{"name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125320274","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}
Pub Date : 2020-11-16DOI: 10.1109/TENCON50793.2020.9293814
Srinidhi Bhat, Sanjay Singh
In various information systems, application learning algorithms have to act in a dynamic environment where the acquired data is in data streams. In contrast to static data mining, processing streams introduce an array of computational and algorithmic stipulations. With the continuous input of data in data streams, one would like a mechanism that automatically identifies unusual events in the time series. The topic has been in the limelight as it has huge potential for real-time activities. To show the algorithm’s robustness, we have trained the classifier to multiple activities and its success in identifying each activity. The paper explores the possibility of using the One-Class Support Vector Machine (OCSVM) for novelty detection in data streams.
{"title":"One-Class Support Vector Machine for Data Streams","authors":"Srinidhi Bhat, Sanjay Singh","doi":"10.1109/TENCON50793.2020.9293814","DOIUrl":"https://doi.org/10.1109/TENCON50793.2020.9293814","url":null,"abstract":"In various information systems, application learning algorithms have to act in a dynamic environment where the acquired data is in data streams. In contrast to static data mining, processing streams introduce an array of computational and algorithmic stipulations. With the continuous input of data in data streams, one would like a mechanism that automatically identifies unusual events in the time series. The topic has been in the limelight as it has huge potential for real-time activities. To show the algorithm’s robustness, we have trained the classifier to multiple activities and its success in identifying each activity. The paper explores the possibility of using the One-Class Support Vector Machine (OCSVM) for novelty detection in data streams.","PeriodicalId":283131,"journal":{"name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127295529","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}
Pub Date : 2020-11-16DOI: 10.1109/TENCON50793.2020.9293762
Moushumi Tazen, N. Sasaoka, Kasumi Fujita, Y. Itoh
In recent years, the interest in utilizing non-contact Doppler radar for vital sign detection is growing. In case that there is another person around a subject, the influence due to the obstructive person is treated as a fundamental problem for the estimation of heart rate (HR) in non-contact heart rate (HR) monitoring 25-GHz Doppler radar. This paper investigates the suitability of bispectrum estimation in extinguishing the influence in the received signal. The bispectrum represents the dependency between two different frequency spectra. Assuming that the heart-beat component from the subject has a strong phase coupling, the bispectrum estimation of a received signal enhances the heart-beat component, and then the influence can be reduced. The experimental results showed the bispectrum estimation improves the estimation accuracy of heart rate.
{"title":"Interference Reduction using Bispectrum Estimation in Non-Contact Heart Rate Measurement by Doppler Radar","authors":"Moushumi Tazen, N. Sasaoka, Kasumi Fujita, Y. Itoh","doi":"10.1109/TENCON50793.2020.9293762","DOIUrl":"https://doi.org/10.1109/TENCON50793.2020.9293762","url":null,"abstract":"In recent years, the interest in utilizing non-contact Doppler radar for vital sign detection is growing. In case that there is another person around a subject, the influence due to the obstructive person is treated as a fundamental problem for the estimation of heart rate (HR) in non-contact heart rate (HR) monitoring 25-GHz Doppler radar. This paper investigates the suitability of bispectrum estimation in extinguishing the influence in the received signal. The bispectrum represents the dependency between two different frequency spectra. Assuming that the heart-beat component from the subject has a strong phase coupling, the bispectrum estimation of a received signal enhances the heart-beat component, and then the influence can be reduced. The experimental results showed the bispectrum estimation improves the estimation accuracy of heart rate.","PeriodicalId":283131,"journal":{"name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127361390","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：