Pub Date : 2022-07-06DOI: 10.1109/ICCE-Taiwan55306.2022.9869199
Kun Sun, Chao-Xin Xie, I-Chun Kuo, Minghui Fan, Pao-Cheng Huang, Liang-Hung Wang
In this paper, an eight-layer wavelet decomposition based on the wavelet basis of bior2.6 is designed, and the noise interference on ECG signal is filtered out effectively. In the aspect of R-wave position detection, an improved algorithm of adaptive slope threshold and adaptive high-frequency signal integration threshold is proposed and the precision rate 99.6% has obtained in MIT-BIH database.
{"title":"A Method for ECG R-wave Denoising and Detecting","authors":"Kun Sun, Chao-Xin Xie, I-Chun Kuo, Minghui Fan, Pao-Cheng Huang, Liang-Hung Wang","doi":"10.1109/ICCE-Taiwan55306.2022.9869199","DOIUrl":"https://doi.org/10.1109/ICCE-Taiwan55306.2022.9869199","url":null,"abstract":"In this paper, an eight-layer wavelet decomposition based on the wavelet basis of bior2.6 is designed, and the noise interference on ECG signal is filtered out effectively. In the aspect of R-wave position detection, an improved algorithm of adaptive slope threshold and adaptive high-frequency signal integration threshold is proposed and the precision rate 99.6% has obtained in MIT-BIH database.","PeriodicalId":164671,"journal":{"name":"2022 IEEE International Conference on Consumer Electronics - Taiwan","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122492164","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 : 2022-07-06DOI: 10.1109/ICCE-Taiwan55306.2022.9869075
Hsin-Chuan Chen, Chun-Yu Chen, Junren Zhu, Peixi Lin, Keer Ma
During the period of COVID-19, it is still inevitable for people to contact with each other based on the consideration of economic development. Therefore, the health management measures for staying in the hotel have become an important part of epidemic prevention. As we all know, ultraviolet (UV) light is an effective disinfection and sterilization method, which has been widely used in many applications. In this paper, a hotel anti-epidemic management system is proposed to disinfect the used rooms by using UV LEDs through WiFi communication with the front desk computer, and therefore it can protect quests from virus infection.
{"title":"Hotel Anti-Epidemic Management System Based on UV LED Disinfection","authors":"Hsin-Chuan Chen, Chun-Yu Chen, Junren Zhu, Peixi Lin, Keer Ma","doi":"10.1109/ICCE-Taiwan55306.2022.9869075","DOIUrl":"https://doi.org/10.1109/ICCE-Taiwan55306.2022.9869075","url":null,"abstract":"During the period of COVID-19, it is still inevitable for people to contact with each other based on the consideration of economic development. Therefore, the health management measures for staying in the hotel have become an important part of epidemic prevention. As we all know, ultraviolet (UV) light is an effective disinfection and sterilization method, which has been widely used in many applications. In this paper, a hotel anti-epidemic management system is proposed to disinfect the used rooms by using UV LEDs through WiFi communication with the front desk computer, and therefore it can protect quests from virus infection.","PeriodicalId":164671,"journal":{"name":"2022 IEEE International Conference on Consumer Electronics - Taiwan","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127026185","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 : 2022-07-06DOI: 10.1109/ICCE-Taiwan55306.2022.9869228
Tsuneo Kagawa, Masaya Ikemoto, S. Ohtake
In IC chips manufacturing process, burn-in test is one of the most important testing methods. They are subjected to a temperature and voltage load in a burn-in machine to detect defective chips. A serious problem may occur if IC chips are not placed correctly in burn-in sockets in the machine. To ensure correct IC chips seating, there is an inspecting method to investigate the relationship between two straight lines on the surface projected by a line laser beam, one is on the IC chip and another one is on the socket. We propose a robust image analysis method even when the laser beam is diffusely reflected. The proposed method detects laser line using the Hough transform to achieve fast and stable seating inspection. We have conducted experiments using images of IC chips used in actual tests and evaluated our method.
{"title":"A robust method of IC seating inspection in burn-in sockets using Hough transform","authors":"Tsuneo Kagawa, Masaya Ikemoto, S. Ohtake","doi":"10.1109/ICCE-Taiwan55306.2022.9869228","DOIUrl":"https://doi.org/10.1109/ICCE-Taiwan55306.2022.9869228","url":null,"abstract":"In IC chips manufacturing process, burn-in test is one of the most important testing methods. They are subjected to a temperature and voltage load in a burn-in machine to detect defective chips. A serious problem may occur if IC chips are not placed correctly in burn-in sockets in the machine. To ensure correct IC chips seating, there is an inspecting method to investigate the relationship between two straight lines on the surface projected by a line laser beam, one is on the IC chip and another one is on the socket. We propose a robust image analysis method even when the laser beam is diffusely reflected. The proposed method detects laser line using the Hough transform to achieve fast and stable seating inspection. We have conducted experiments using images of IC chips used in actual tests and evaluated our method.","PeriodicalId":164671,"journal":{"name":"2022 IEEE International Conference on Consumer Electronics - Taiwan","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127201066","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}
The rise of blockchain technology has made a particularly deep impact on financial technology. This study utilizes a gamification mechanism based on blockchain's transparency and unalterableness to allow users to see each other's transformed wallet data and virtual avatars during transactions, and in so doing, to build trust among users and make transactions fun. Meanwhile, the gamification mechanism will build a social group to enhance the perception of and interaction with the real world. This study intends to combine socialization capital and propose a brand-new financial experience and transaction model.
{"title":"WANA Wallet: The Application Design of Currency Wallets with Transaction Entertainment and Socialization Capital and Display Functions","authors":"Wen-Xuan Zeng, Wen-Hsuan Yang, Chun-Lin Pan, Ju-Chun Ko, Chi-Hao Lung, H. Tsao","doi":"10.1109/ICCE-Taiwan55306.2022.9868984","DOIUrl":"https://doi.org/10.1109/ICCE-Taiwan55306.2022.9868984","url":null,"abstract":"The rise of blockchain technology has made a particularly deep impact on financial technology. This study utilizes a gamification mechanism based on blockchain's transparency and unalterableness to allow users to see each other's transformed wallet data and virtual avatars during transactions, and in so doing, to build trust among users and make transactions fun. Meanwhile, the gamification mechanism will build a social group to enhance the perception of and interaction with the real world. This study intends to combine socialization capital and propose a brand-new financial experience and transaction model.","PeriodicalId":164671,"journal":{"name":"2022 IEEE International Conference on Consumer Electronics - Taiwan","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127257559","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 : 2022-07-06DOI: 10.1109/ICCE-Taiwan55306.2022.9868979
Haiyan Song, Feng-Yang Chi, Chang-Yi Yang
Direction of arrival (DOA) is becoming more and more important for underwater transportation security especially in shallow ocean. In this paper, a DOA estimation technique for underwater transportation via Compressed Sensing (CS) based on Vector Sensor Array (VSA) is proposed. Different from most of the pressure sensor arrays, VSA can make fully use of the available acoustic information (pressure and particle velocity) and obtain better estimation performance. In addition, the DOA estimation problem in underwater transportation is converted into a sparsity representation problem and solved by the convex optimization toolbox CVX. Computer simulations show that our proposed method can outperform other traditional methods.
{"title":"DOA Estimation Technique for Underwater Transportation via Compressed Sensing Based on Vector Sensor Array","authors":"Haiyan Song, Feng-Yang Chi, Chang-Yi Yang","doi":"10.1109/ICCE-Taiwan55306.2022.9868979","DOIUrl":"https://doi.org/10.1109/ICCE-Taiwan55306.2022.9868979","url":null,"abstract":"Direction of arrival (DOA) is becoming more and more important for underwater transportation security especially in shallow ocean. In this paper, a DOA estimation technique for underwater transportation via Compressed Sensing (CS) based on Vector Sensor Array (VSA) is proposed. Different from most of the pressure sensor arrays, VSA can make fully use of the available acoustic information (pressure and particle velocity) and obtain better estimation performance. In addition, the DOA estimation problem in underwater transportation is converted into a sparsity representation problem and solved by the convex optimization toolbox CVX. Computer simulations show that our proposed method can outperform other traditional methods.","PeriodicalId":164671,"journal":{"name":"2022 IEEE International Conference on Consumer Electronics - Taiwan","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125850567","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 : 2022-07-06DOI: 10.1109/ICCE-Taiwan55306.2022.9869122
Kohei Tsunewaki, Tomotaka Kimura, Jun Cheng
In this paper, we propose a ransomware detection method based on API IDs and call intervals. In the proposed method, to detect ransomware, when each API call occurs, we input both the API ID and the call interval from the previous call into an LSTM (Long Short Term Memory). By inputting the API IDs and call intervals into LSTM, we can learn the characteristics of the time series change of API calls in the ransomware. Through the experiments using an original dataset, we demonstrated that the accuracy of our proposed method was high and the characteristic learning of the call interval was useful for detecting ransomware.
{"title":"LSTM-Based Ransomware Detection Using API Call Information","authors":"Kohei Tsunewaki, Tomotaka Kimura, Jun Cheng","doi":"10.1109/ICCE-Taiwan55306.2022.9869122","DOIUrl":"https://doi.org/10.1109/ICCE-Taiwan55306.2022.9869122","url":null,"abstract":"In this paper, we propose a ransomware detection method based on API IDs and call intervals. In the proposed method, to detect ransomware, when each API call occurs, we input both the API ID and the call interval from the previous call into an LSTM (Long Short Term Memory). By inputting the API IDs and call intervals into LSTM, we can learn the characteristics of the time series change of API calls in the ransomware. Through the experiments using an original dataset, we demonstrated that the accuracy of our proposed method was high and the characteristic learning of the call interval was useful for detecting ransomware.","PeriodicalId":164671,"journal":{"name":"2022 IEEE International Conference on Consumer Electronics - Taiwan","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124156765","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 : 2022-07-06DOI: 10.1109/ICCE-Taiwan55306.2022.9869103
Mikoto Tsunematsu, Katsuki Uno, Hideyoshi Miura, K. Hirata
This paper proposes a server placement method with conditional generative adversarial networks (CGAN) for edge computing system design. The proposed method predicts appropriate location of edge servers without solving optimization problems by using network images for training CGAN. Through numerical evaluation, we show the effectiveness of the proposed method.
{"title":"Server placement method with conditional generative adversarial networks for designing edge computing systems","authors":"Mikoto Tsunematsu, Katsuki Uno, Hideyoshi Miura, K. Hirata","doi":"10.1109/ICCE-Taiwan55306.2022.9869103","DOIUrl":"https://doi.org/10.1109/ICCE-Taiwan55306.2022.9869103","url":null,"abstract":"This paper proposes a server placement method with conditional generative adversarial networks (CGAN) for edge computing system design. The proposed method predicts appropriate location of edge servers without solving optimization problems by using network images for training CGAN. Through numerical evaluation, we show the effectiveness of the proposed method.","PeriodicalId":164671,"journal":{"name":"2022 IEEE International Conference on Consumer Electronics - Taiwan","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126796171","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 : 2022-07-06DOI: 10.1109/ICCE-Taiwan55306.2022.9869146
Xin-Zhu Li, Chun-Ching Chen, Xin Kang
The intangible cultural heritage is exposed to the risk of being lost or forgotten forever. As a result, importance should be attached to the protection of intangible cultural heritage. This paper introduces design concepts and working prototypes for augmented reality (AR) applications, which makes users know more about the process of Chinese lanterns. 3D images are overlapped a real environment through AR technology, giving intangible cultural heritage learning more fun. Visitors can experience this app during the lantern festival. Studies show that it is feasible to use AR technology for intangible cultural heritage education, which can transfer knowledge and improve learning interests.
{"title":"Research on Intangible cultural heritage education inheritance based on augmented reality technology","authors":"Xin-Zhu Li, Chun-Ching Chen, Xin Kang","doi":"10.1109/ICCE-Taiwan55306.2022.9869146","DOIUrl":"https://doi.org/10.1109/ICCE-Taiwan55306.2022.9869146","url":null,"abstract":"The intangible cultural heritage is exposed to the risk of being lost or forgotten forever. As a result, importance should be attached to the protection of intangible cultural heritage. This paper introduces design concepts and working prototypes for augmented reality (AR) applications, which makes users know more about the process of Chinese lanterns. 3D images are overlapped a real environment through AR technology, giving intangible cultural heritage learning more fun. Visitors can experience this app during the lantern festival. Studies show that it is feasible to use AR technology for intangible cultural heritage education, which can transfer knowledge and improve learning interests.","PeriodicalId":164671,"journal":{"name":"2022 IEEE International Conference on Consumer Electronics - Taiwan","volume":"293 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117344413","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 : 2022-07-06DOI: 10.1109/ICCE-Taiwan55306.2022.9869185
Chiu-Chin Chen, C. Liao
With the increasing development of mobile Internet and the increasing popularity of mobile devices, a series of Internet popularization products have been derived. Among them, the media industry is also from the very beginning of graphic competition era to the short video competition era, the characteristics of short video with its short, timeliness quickly network, was welcomed by the masses and to the success of the short video leap up is red because it is grasping the needs of contemporary people read fragments, also meet the demand of the audience share. With the development of short video, it gradually standardized and became the main creative form of content producers and web celebrity entrepreneurs. As a part of the vertical field of short video content, the short video of we media for food also emerges as The Times require. The e-commerce industry is also a popular industry at present. The combination of short video and e-commerce just complements each other's advantages and demands each other. Why short video e-commerce can achieve rapid success in just a few years and become a new marketing mode in the e-commerce industry, this paper will analyze the success factors of short video e-commerce through literature analysis and SWOT analysis, taking the creator of food we media web celebrity as an example, and provide reference for the emergence of other new business models in the future.
{"title":"Research on the success factors of short video e-commerce","authors":"Chiu-Chin Chen, C. Liao","doi":"10.1109/ICCE-Taiwan55306.2022.9869185","DOIUrl":"https://doi.org/10.1109/ICCE-Taiwan55306.2022.9869185","url":null,"abstract":"With the increasing development of mobile Internet and the increasing popularity of mobile devices, a series of Internet popularization products have been derived. Among them, the media industry is also from the very beginning of graphic competition era to the short video competition era, the characteristics of short video with its short, timeliness quickly network, was welcomed by the masses and to the success of the short video leap up is red because it is grasping the needs of contemporary people read fragments, also meet the demand of the audience share. With the development of short video, it gradually standardized and became the main creative form of content producers and web celebrity entrepreneurs. As a part of the vertical field of short video content, the short video of we media for food also emerges as The Times require. The e-commerce industry is also a popular industry at present. The combination of short video and e-commerce just complements each other's advantages and demands each other. Why short video e-commerce can achieve rapid success in just a few years and become a new marketing mode in the e-commerce industry, this paper will analyze the success factors of short video e-commerce through literature analysis and SWOT analysis, taking the creator of food we media web celebrity as an example, and provide reference for the emergence of other new business models in the future.","PeriodicalId":164671,"journal":{"name":"2022 IEEE International Conference on Consumer Electronics - Taiwan","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127595445","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 : 2022-07-06DOI: 10.1109/ICCE-Taiwan55306.2022.9869279
Jian-Chiuan Hou, Weimin Xu, Yuanyuan Chu, Chih-Lin Hu, Ying-Hong Chen, Shi Chen, Lin Hui
We propose a fall detection mechanism based on multi-camera cooperation in home space. Cameras capture image-based falling events, and self-organize a group using deep reinforcement learning. Neighbor cameras exchange sensing data and statuses in local network proximity. With information sharing in a group, cameras can improve the accuracy of decision making on falling events and cope with the limited fields of view against physical deployment of cameras in residential areas.
{"title":"Cooperative Fall Detection with Multiple Cameras","authors":"Jian-Chiuan Hou, Weimin Xu, Yuanyuan Chu, Chih-Lin Hu, Ying-Hong Chen, Shi Chen, Lin Hui","doi":"10.1109/ICCE-Taiwan55306.2022.9869279","DOIUrl":"https://doi.org/10.1109/ICCE-Taiwan55306.2022.9869279","url":null,"abstract":"We propose a fall detection mechanism based on multi-camera cooperation in home space. Cameras capture image-based falling events, and self-organize a group using deep reinforcement learning. Neighbor cameras exchange sensing data and statuses in local network proximity. With information sharing in a group, cameras can improve the accuracy of decision making on falling events and cope with the limited fields of view against physical deployment of cameras in residential areas.","PeriodicalId":164671,"journal":{"name":"2022 IEEE International Conference on Consumer Electronics - Taiwan","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128812901","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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