{"title":"Sensing Error Compensation Algorithm for Ultra-Wideband Following Systems","authors":"Kuang-Hao Lin, D. Ye","doi":"10.1109/ICCE-TW52618.2021.9603178","DOIUrl":"https://doi.org/10.1109/ICCE-TW52618.2021.9603178","url":null,"abstract":"This study proposes a sensing error compensation algorithm to correct the distance estimated by ultra-wideband (UWB) following systems that estimate distance based on sensor data. The UWB following systems used for carts on farms and in shopping malls inevitably have errors to the magnitude of 0.25–0.4 m in distance estimation. The proposed algorithm reduces errors to less than 0.05 m, greatly increasing the sensitivity of the following systems and reducing the risk of collision.","PeriodicalId":141850,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122686283","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}
{"title":"Testing Machine Learning Models for Individual Emotion Estimation from Indoor Environment Data","authors":"Isao Kurebayashi, Nobuyoshi Komuro, Keita Hirai","doi":"10.1109/ICCE-TW52618.2021.9603230","DOIUrl":"https://doi.org/10.1109/ICCE-TW52618.2021.9603230","url":null,"abstract":"This study investigates various machine learning models for estimating individual emotions based on collected indoor environment data for human participants. Our previous study developed an individual emotion prediction system using environmental data regarding human perception. Emotions were estimated from indoor environmental data by various machine learning methods. This study investigates which machine learning method is effective for estimating individual emotions. The experimental results show that our system achieves about 80% or more estimation correspondence by using multiple types of sensors. We also found that Random Forest and Gradient Boosting Decision Tree are suitable for our system in terms of both estimation accuracy and computational speed.","PeriodicalId":141850,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123996264","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}
{"title":"Performance analysis of service architectures applying queueing systems","authors":"Mikio Katsu, T. Okuda","doi":"10.1109/ICCE-TW52618.2021.9603136","DOIUrl":"https://doi.org/10.1109/ICCE-TW52618.2021.9603136","url":null,"abstract":"Services are becoming more and more diverse. In this paper, we perform architecture analysis of various services applying queuing systems. We analyze response time of three typed queuing systems by considering different service time distributions . As a result, we can show that there are areas that differ from the conventional evaluation.","PeriodicalId":141850,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124420464","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}
{"title":"The Body Sensor Suit with Mixed Reality Interactive Games","authors":"Kuo-Yi Chen, Jeng-Dao Lee, Ting-Jia Zhang","doi":"10.1109/ICCE-TW52618.2021.9603144","DOIUrl":"https://doi.org/10.1109/ICCE-TW52618.2021.9603144","url":null,"abstract":"With the progress of the technology, the Virtual Reality (VR) that only provides viewing becomes more difficultly to provide users the better VR experience. In order to enhance VR interaction, there are various technologies to improve better VR experiences, such as users could control and move by their hand and feet. However, the most of the VR equipment only operate by controller’s direction and the triggers on the controller button, it leads that users cannot use their own body to have an intuitive control.In order to improve this issue, this study focuses on maximizing the interactivity of VR of long-range moving, thus smartphone is chosen as our development platform. Based on Google ARCore library, the values of accelerometer, magnetism sensor and gyroscope from 9-axis sensor can be got. Furthermore, the Inertial Measurement Unit (IMU) is used to calculate information and motion tracking of body. Therefore, the smartphone could detect the body node on the user’s three-dimensional movement accurately, and feedback the control information into mixed reality interactive games.","PeriodicalId":141850,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127886970","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}
{"title":"SAFER & SAFEST: Single-Aging-Factor Enhanced Rings and Shadow Trees for Data Annotation and Early Warning in Online Aging Monitors of Automotive SoCs","authors":"Cho-Sheng Lin, Jing Huang, Po-Sheng Chang, Chun-Yen Tsai, Tsung-Chu Huang","doi":"10.1109/ICCE-TW52618.2021.9603149","DOIUrl":"https://doi.org/10.1109/ICCE-TW52618.2021.9603149","url":null,"abstract":"AI techniques have been widely applied in consumer electronics, especially automotive advanced driver assistant systems. The reliability of the AI processors in the harsh environment is facing a critical challenge. In this paper we explore and exploit high correlation between single-aging-factor (SAF) enhanced oscillating rings (SAFERs) for online data annotation in early stage and SAF shadow trees (SAFESTs) for training and on-line aging monitoring later. Compared with previous work, 88% of accuracy for high correlation supervised classification will be more reliable than 99% of meaningless clustering.","PeriodicalId":141850,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127901869","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}
{"title":"A study of Wavefront Aberration Measurement Technology based on Centroid Calculation","authors":"C. Lin, Hsuan-Fu Wang, Zinan Huang","doi":"10.1109/ICCE-TW52618.2021.9603000","DOIUrl":"https://doi.org/10.1109/ICCE-TW52618.2021.9603000","url":null,"abstract":"The basic structure of the Shack-Hartmann wavefront sensor (SHWFS) is a microlens array and a set of sensors. Some conditions before the light enters the sensor from the imaging system cause the pixels to sense uneven light and generate a lot of noise in the image. Therefore, a set of noise filtering methods is needed to reduce the influence of noise in the image. Theoretically, the strongest point of the laser spot can be regarded as the center of mass of the laser spot. In this study, the best focus is used to capture the image. Perform image processing and use the program to evaluate various weights and thresholds to obtain centroid coordinates. The centroid control group will be used as an unaffected standard reference in the future. After that, the system adds an experimental group that changes the light wave front to perform quality control. The calculation of the wavefront value obtained by evaluating the position of the light spot, Zernike coefficient and Zemax can be used to verify the accuracy of the calculated wavefront aberration.","PeriodicalId":141850,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128922471","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}
{"title":"Design of e-Health System for Heart Rate and Lung Sound Monitoring with AI-based Analysis","authors":"Kuei-Chung Chang, Jun-Wei Huang, Yi-Fong Wu","doi":"10.1109/ICCE-TW52618.2021.9602900","DOIUrl":"https://doi.org/10.1109/ICCE-TW52618.2021.9602900","url":null,"abstract":"Traditionally, doctors have used stethoscopes for chest auscultation to diagnose respiratory and heart diseases. Auscultation can be used to initially diagnose the status of the patient, but this depends on the doctor's experience and waste time. Recently, electronic auscultation is proposed to diagnose the condition more carefully by sampling and processing sound signals. This paper designs a simple self-made stethoscope to digitize medical sound data. The sounds are then analyzed to give preliminary diagnosis to track health condition. The wave of monitored sounds and analyzed results can be displayed on mobile phones, so that patients can know health status immediately. In addition, an e-health home gateway and cloud-based AI system are also proposed for home-care patients to monitor health condition of chronic patients anytime at home or long-care center.","PeriodicalId":141850,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128685507","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}
{"title":"AIoT-based Audio Recognition System for Smart Home Applications","authors":"Bo-Wei Chen, Yun-Syuan Jhang, Hao-Ting Pai, Szu-Hong Wang, M. Sheu, Tzu-Hsuing Chen","doi":"10.1109/ICCE-TW52618.2021.9603103","DOIUrl":"https://doi.org/10.1109/ICCE-TW52618.2021.9603103","url":null,"abstract":"In this paper, we design an audio recognition system to detect events of lighters sound, which names Audio Recognition System (ARS). ARS is composed of AIOT device (i.e. Raspberry Pi), deep-learning-based analytics, and real-time alarming advisory (e.g. Line Notify). We conduct experiments with 8,000 observations. The result shows ARS achieves 97% accuracy in a quiet place and 94% accuracy in a noisy environment.","PeriodicalId":141850,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129138597","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}
{"title":"Automatic Deployment Mechanism for Smart Communication Service Based on Container Technology","authors":"Shang-Liang Chen, Hsiang-Yu Chuang","doi":"10.1109/ICCE-TW52618.2021.9603266","DOIUrl":"https://doi.org/10.1109/ICCE-TW52618.2021.9603266","url":null,"abstract":"In this research, we proposed a long-distance information transmission system architecture based on Container and Microservice technology, divide LPWAN multimode network communication module into several services depending on different functions. Through containerization technology, a mechanism is designed to automate the entire communication service establishment process, and then the automated deployment of communication services is realized through containerized management tools. We test our architecture on mobile pumps maintain, and the results show that the developed mechanism can successfully achieve automate remote deploy or system service upgrade.","PeriodicalId":141850,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115820684","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}
Chin-Hsien Wu, Yi-Lun Lan, Wei-Hao Wu, Chi-Yen Yang
{"title":"A Retention-Error Mitigation Method on TLC NAND Flash Memory for CE Storage Systems","authors":"Chin-Hsien Wu, Yi-Lun Lan, Wei-Hao Wu, Chi-Yen Yang","doi":"10.1109/ICCE-TW52618.2021.9602911","DOIUrl":"https://doi.org/10.1109/ICCE-TW52618.2021.9602911","url":null,"abstract":"Since NAND flash memory has limited P/E cycles, it could be unusable after exceeding the limited P/E cycles, and the main reason is the wear-out phenomenon in the flash memory cell. Under the influence of this phenomenon, any data can only be safely stored in the flash memory for a limited time (i.e., the retention time). As the retention time increases, the retention error rate continues to rise, and the final retention error rate could exceed the ECC (error correction code) capability. Since the retention error is the main error of NAND flash memory and its error rate is dependent on different stored states, some mitigation methods for retention errors are proposed. In the paper, we propose a retention-error mitigation method on TLC NAND flash memory for consumer electronics (CE). According to the experimental results, we can efficiently reduce the retention error rate.","PeriodicalId":141850,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115500314","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}