Pub Date : 2023-02-05DOI: 10.1109/ICEIC57457.2023.10049965
Rajan Kadel, G. Lechner
The main goal of this paper is to design full-diversity and outage achieving LDPC codes over block-fading channels under message passing decoding. This paper presents the derivation of the necessary properties of full diversity LDPC codes under message passing decoding over block-fading channel.
{"title":"Full Diversity Low-Density Parity-Check (LDPC) Codes for Block-Fading Channel","authors":"Rajan Kadel, G. Lechner","doi":"10.1109/ICEIC57457.2023.10049965","DOIUrl":"https://doi.org/10.1109/ICEIC57457.2023.10049965","url":null,"abstract":"The main goal of this paper is to design full-diversity and outage achieving LDPC codes over block-fading channels under message passing decoding. This paper presents the derivation of the necessary properties of full diversity LDPC codes under message passing decoding over block-fading channel.","PeriodicalId":373752,"journal":{"name":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115662510","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 : 2023-02-05DOI: 10.1109/ICEIC57457.2023.10049946
Kyung-Min Lee, Chi-Ho Lin
In this paper, we propose a new 3-D pca regression method for manifold dimension reduction with applications to image analysis. The proposed method is a novel image analysis method consisting of a regression algorithm of a structure designed based on an improved manifold 3-DPCA and an autoencoder capable of nonlinear expansion of PCA for efficient dimension reduction in large-capacity image data input. With the configuration of an autoencoder, a regression manifold 3-DPCA, which derives the best hyperplane through three-dimensional rotation of image pixel values, and a Bayesian rule structure similar to a deep learning structure, are applied. Conduct experiments for performance verification. Image is improved using fine dust image, and accuracy performance evaluation is performed through classification model. As a result, it can be confirmed that it is effective in performing deep learning.
{"title":"A New 3-D PCA Regression Method for Manifold Dimension Reduction with Image Analysis","authors":"Kyung-Min Lee, Chi-Ho Lin","doi":"10.1109/ICEIC57457.2023.10049946","DOIUrl":"https://doi.org/10.1109/ICEIC57457.2023.10049946","url":null,"abstract":"In this paper, we propose a new 3-D pca regression method for manifold dimension reduction with applications to image analysis. The proposed method is a novel image analysis method consisting of a regression algorithm of a structure designed based on an improved manifold 3-DPCA and an autoencoder capable of nonlinear expansion of PCA for efficient dimension reduction in large-capacity image data input. With the configuration of an autoencoder, a regression manifold 3-DPCA, which derives the best hyperplane through three-dimensional rotation of image pixel values, and a Bayesian rule structure similar to a deep learning structure, are applied. Conduct experiments for performance verification. Image is improved using fine dust image, and accuracy performance evaluation is performed through classification model. As a result, it can be confirmed that it is effective in performing deep learning.","PeriodicalId":373752,"journal":{"name":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115207136","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 : 2023-02-05DOI: 10.1109/ICEIC57457.2023.10049876
Jang-Hyun Baek, Junhyek Jang, D. Shin, Ki-Taeg Lim, Sanghun Yoon, Soo Hyun Jang
Recently, global carmakers are trying to develop a stable automated valet parking (AVP) solution to cope with a various parking environments. In spite of their efforts, there is a limitation for reaching complete autonomous parking by relying only on autonomous vehicle sensors due to factors such as low light environment and lack of GPS signals. To overcome such issues, smart infrastructures installed in the parking lot can be utilized to effectively expand the AVP capabilities.In this paper, we proposed a method to generate the parking guidance information for parking based on surveillance camera analysis.
{"title":"Application on Parking Guidance System Using Surveillance Camera","authors":"Jang-Hyun Baek, Junhyek Jang, D. Shin, Ki-Taeg Lim, Sanghun Yoon, Soo Hyun Jang","doi":"10.1109/ICEIC57457.2023.10049876","DOIUrl":"https://doi.org/10.1109/ICEIC57457.2023.10049876","url":null,"abstract":"Recently, global carmakers are trying to develop a stable automated valet parking (AVP) solution to cope with a various parking environments. In spite of their efforts, there is a limitation for reaching complete autonomous parking by relying only on autonomous vehicle sensors due to factors such as low light environment and lack of GPS signals. To overcome such issues, smart infrastructures installed in the parking lot can be utilized to effectively expand the AVP capabilities.In this paper, we proposed a method to generate the parking guidance information for parking based on surveillance camera analysis.","PeriodicalId":373752,"journal":{"name":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123428255","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 : 2023-02-05DOI: 10.1109/ICEIC57457.2023.10049966
Sunghwan Moon, Won Hee Lee
Federated learning (FL) has received great attention in healthcare primarily due to its decentralized, collaborative nature of building a machine learning (ML) model. Over the years, the FL approach has been successfully applied for enhancing privacy preservation in medical ML applications. This study aims to review prevailing applications in healthcare for the future landing FL application. We identified the emerging applications of FL in key healthcare domains, including COVID-19, brain tumor segmentation, mammogram, sleep quality prediction, and smart healthcare system. Finally, we discuss privacy concerns in federated setting and provide current methods to increase the data privacy capabilities of FL.
{"title":"Privacy-Preserving Federated Learning in Healthcare","authors":"Sunghwan Moon, Won Hee Lee","doi":"10.1109/ICEIC57457.2023.10049966","DOIUrl":"https://doi.org/10.1109/ICEIC57457.2023.10049966","url":null,"abstract":"Federated learning (FL) has received great attention in healthcare primarily due to its decentralized, collaborative nature of building a machine learning (ML) model. Over the years, the FL approach has been successfully applied for enhancing privacy preservation in medical ML applications. This study aims to review prevailing applications in healthcare for the future landing FL application. We identified the emerging applications of FL in key healthcare domains, including COVID-19, brain tumor segmentation, mammogram, sleep quality prediction, and smart healthcare system. Finally, we discuss privacy concerns in federated setting and provide current methods to increase the data privacy capabilities of FL.","PeriodicalId":373752,"journal":{"name":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129565568","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 : 2023-02-05DOI: 10.1109/ICEIC57457.2023.10049926
Bezawit Habtamu Nuriye, Beomseok Oh
Since multivariate time series (MTS), which lie in a non-Euclidean space, exhibit temporal evolution and correlation characteristics, its classification is considered a non-trivial task. To mitigate the impact of the time-varying characteristics and thus enhance the classification accuracy, in this paper, we propose to model MTS data using a time-varying linear dynamical system followed by a neural network-based classification on the Grassmannian manifold. Our experiments on publicly available MTS datasets show promising classification results.
{"title":"An investigation into time-varying characteristics of multivariate time series in Grassmann classification","authors":"Bezawit Habtamu Nuriye, Beomseok Oh","doi":"10.1109/ICEIC57457.2023.10049926","DOIUrl":"https://doi.org/10.1109/ICEIC57457.2023.10049926","url":null,"abstract":"Since multivariate time series (MTS), which lie in a non-Euclidean space, exhibit temporal evolution and correlation characteristics, its classification is considered a non-trivial task. To mitigate the impact of the time-varying characteristics and thus enhance the classification accuracy, in this paper, we propose to model MTS data using a time-varying linear dynamical system followed by a neural network-based classification on the Grassmannian manifold. Our experiments on publicly available MTS datasets show promising classification results.","PeriodicalId":373752,"journal":{"name":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124477712","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 : 2023-02-05DOI: 10.1109/ICEIC57457.2023.10049854
Minseok Park, Jae Joon Kim
This paper presents PPG and PCG integrated circuits for multi-mode health monitoring system on the chest. Using chopper-stabilization technique and improved noise shaping loop, the noise of the core amplifier in the integrator and the quantization error are reduced in PPG ROIC. The PPG ROIC has a 116.9dB DR and achieves a maximum 92.7dB SNR. Also, Dual peak detector to distinguish PCG S1, S2 peak is introduced. The prototype is fabricated with 0.18 μm BCD process and multi-mode health monitoring system, can be operated as digital-stethoscope, heart-rate monitor, and VTT based BP monitor, implemented in MATLAB program.
{"title":"Photoplethysmogram(PPG) and Phonocardiogram(PCG) integrated circuits for multi-mode health monitoring system on the chest","authors":"Minseok Park, Jae Joon Kim","doi":"10.1109/ICEIC57457.2023.10049854","DOIUrl":"https://doi.org/10.1109/ICEIC57457.2023.10049854","url":null,"abstract":"This paper presents PPG and PCG integrated circuits for multi-mode health monitoring system on the chest. Using chopper-stabilization technique and improved noise shaping loop, the noise of the core amplifier in the integrator and the quantization error are reduced in PPG ROIC. The PPG ROIC has a 116.9dB DR and achieves a maximum 92.7dB SNR. Also, Dual peak detector to distinguish PCG S1, S2 peak is introduced. The prototype is fabricated with 0.18 μm BCD process and multi-mode health monitoring system, can be operated as digital-stethoscope, heart-rate monitor, and VTT based BP monitor, implemented in MATLAB program.","PeriodicalId":373752,"journal":{"name":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116152786","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 : 2023-02-05DOI: 10.1109/ICEIC57457.2023.10049968
Tae-Ho Lee, Vidura Munasinghe, Yan-Mei Li, Tae Sung Kim, Hyuk-Jae Lee
Recently, with the outbreak of the COVID-19 pandemic, various quarantine measures have been implemented to reduce the spread of the virus. As a part of efforts, the preference for touchless technology has been emerging. In this paper, we propose a touchless elevator control system using CNN-based hand gesture recognition. Experimental results show that the hand recognition AP and FPS on the Jetson TX2 board are 81.87% and 11.8FPS, respectively. We demonstrate that an elevator model could be controlled by virtual elevator buttons utilizing CNN-based hand gesture recognition. The proposed method can be applied to commercial elevators as an approach to prevent the spread of viruses from elevator buttons.
{"title":"CNN-based Hand Gesture Recognition for Contactless Elevator Button Control","authors":"Tae-Ho Lee, Vidura Munasinghe, Yan-Mei Li, Tae Sung Kim, Hyuk-Jae Lee","doi":"10.1109/ICEIC57457.2023.10049968","DOIUrl":"https://doi.org/10.1109/ICEIC57457.2023.10049968","url":null,"abstract":"Recently, with the outbreak of the COVID-19 pandemic, various quarantine measures have been implemented to reduce the spread of the virus. As a part of efforts, the preference for touchless technology has been emerging. In this paper, we propose a touchless elevator control system using CNN-based hand gesture recognition. Experimental results show that the hand recognition AP and FPS on the Jetson TX2 board are 81.87% and 11.8FPS, respectively. We demonstrate that an elevator model could be controlled by virtual elevator buttons utilizing CNN-based hand gesture recognition. The proposed method can be applied to commercial elevators as an approach to prevent the spread of viruses from elevator buttons.","PeriodicalId":373752,"journal":{"name":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122154716","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 : 2023-02-05DOI: 10.1109/ICEIC57457.2023.10049897
Kana Kim, Sangjun Lee, Hakil Kim
Self-driving technology using deep learning has achieved a lot of research and excellent performance, but the process of training a model requires a large amount of high-quality data and it is still difficult for humans to directly inspect the processed data and prove its quality. In addition, classifying the training difficulty of the data for contextual and functional separation of deep learning algorithm is also an important challenge. This paper proposes a framework for validating the quality of constructed new datasets, which also classifies the training difficulty of datasets, thereby ensuring the versatility of valid datasets and introducing strategies to classify contextual datasets. Experiments on the AI hub dataset proved its quality and were able to be reorganized into datasets classified by difficulty level.
{"title":"Quality Assurance of Autonomous Vehicle’s Sensor Data based on Classifying Level of Difficulty","authors":"Kana Kim, Sangjun Lee, Hakil Kim","doi":"10.1109/ICEIC57457.2023.10049897","DOIUrl":"https://doi.org/10.1109/ICEIC57457.2023.10049897","url":null,"abstract":"Self-driving technology using deep learning has achieved a lot of research and excellent performance, but the process of training a model requires a large amount of high-quality data and it is still difficult for humans to directly inspect the processed data and prove its quality. In addition, classifying the training difficulty of the data for contextual and functional separation of deep learning algorithm is also an important challenge. This paper proposes a framework for validating the quality of constructed new datasets, which also classifies the training difficulty of datasets, thereby ensuring the versatility of valid datasets and introducing strategies to classify contextual datasets. Experiments on the AI hub dataset proved its quality and were able to be reorganized into datasets classified by difficulty level.","PeriodicalId":373752,"journal":{"name":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"229 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115750848","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 : 2023-02-05DOI: 10.1109/ICEIC57457.2023.10049944
Boon Chiat Terence Teo, Wu Cong Lim, Xian Yang Lim, V. Navaneethan, Chong Boon Tan, Nardi Utomo, L. Siek
In this study, the various self-biasing techniques for the complementary cross-coupled rectifier are analyzed and presented for their merits in improving the power conversion efficiency (PCE) across the input power (PIN) range. The core complementary cross-coupled rectifier is implemented with the 55nm CMOS technology, while all the control circuitries are implemented with ideal models or parameters extracted after characterizing the device. The simulation for the RF-DC rectifier operating at 900MHz with a load of 100kΩ shows a similar trend to the literature’s performance.
{"title":"Performance Analysis of Self-biasing Technique for Differential RF-DC Rectifier in IoT Application","authors":"Boon Chiat Terence Teo, Wu Cong Lim, Xian Yang Lim, V. Navaneethan, Chong Boon Tan, Nardi Utomo, L. Siek","doi":"10.1109/ICEIC57457.2023.10049944","DOIUrl":"https://doi.org/10.1109/ICEIC57457.2023.10049944","url":null,"abstract":"In this study, the various self-biasing techniques for the complementary cross-coupled rectifier are analyzed and presented for their merits in improving the power conversion efficiency (PCE) across the input power (PIN) range. The core complementary cross-coupled rectifier is implemented with the 55nm CMOS technology, while all the control circuitries are implemented with ideal models or parameters extracted after characterizing the device. The simulation for the RF-DC rectifier operating at 900MHz with a load of 100kΩ shows a similar trend to the literature’s performance.","PeriodicalId":373752,"journal":{"name":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123789002","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 : 2023-02-05DOI: 10.1109/ICEIC57457.2023.10049935
Hongyu Bao, S. Lam
This paper reports miniature designs of 60-GHz Wilkinson power dividers based on a multi-metallization transmission line structure for monolithic microwave integrated circuits (MMICs). In a 65-nm 2P8M CMOS process, a straight elongated design occupies an area of 56 × 610 μm2, giving an insertion loss lower than 0.89 dB, a return loss better than 30 dB and an isolation higher than 45 dB at 60 GHz. The meandered design further reduces the chip area to 68 × 310 μm2 (≈ 0.021 mm2) and it also provides a low power loss and a high isolation in a frequency range over 20 GHz. The compact designs are extendable to other deep sub-micron CMOS processes for development of MMICs.
{"title":"Compact Design of 60-GHz Wilkinson Power Dividers in a 65-nm CMOS Process for Monolithic Microwave Integrated Circuits","authors":"Hongyu Bao, S. Lam","doi":"10.1109/ICEIC57457.2023.10049935","DOIUrl":"https://doi.org/10.1109/ICEIC57457.2023.10049935","url":null,"abstract":"This paper reports miniature designs of 60-GHz Wilkinson power dividers based on a multi-metallization transmission line structure for monolithic microwave integrated circuits (MMICs). In a 65-nm 2P8M CMOS process, a straight elongated design occupies an area of 56 × 610 μm2, giving an insertion loss lower than 0.89 dB, a return loss better than 30 dB and an isolation higher than 45 dB at 60 GHz. The meandered design further reduces the chip area to 68 × 310 μm2 (≈ 0.021 mm2) and it also provides a low power loss and a high isolation in a frequency range over 20 GHz. The compact designs are extendable to other deep sub-micron CMOS processes for development of MMICs.","PeriodicalId":373752,"journal":{"name":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126848639","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}
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