发布求助
文献互助 智能选刊 最新文献

2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)最新文献

筛选
英文 中文
A IoT System for Vehicle Tracking using Long Range Wide Area Network 基于远程广域网的车辆跟踪物联网系统
2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW) Pub Date : 2021-09-15 DOI: 10.1109/ICCE-TW52618.2021.9603034
Abdel F. Chabi, Jean C. B. Guimaraes, Jones C. Pinto, Rafael S. Furtado, W. S. S. Júnior, Celso B. Carvalho, Adriano E. Santos, D. F. Luiz
{"title":"A IoT System for Vehicle Tracking using Long Range Wide Area Network","authors":"Abdel F. Chabi, Jean C. B. Guimaraes, Jones C. Pinto, Rafael S. Furtado, W. S. S. Júnior, Celso B. Carvalho, Adriano E. Santos, D. F. Luiz","doi":"10.1109/ICCE-TW52618.2021.9603034","DOIUrl":"https://doi.org/10.1109/ICCE-TW52618.2021.9603034","url":null,"abstract":"The main needs of a vehicle trackers are security and logistical planning. The GPS (Global Positioning System) realtime location provides more security and can be useful for fleet management.Vehicle trackers become more and more useful not only for car fleet companies but also for personal use, improving safety by theft recovery. The development of this work proposes a low cost Internet of Things (IoT) system based on the ESP32 controller as electronic hardware, ProIoT company as IoT platform and long range wide area network as communication protocol.","PeriodicalId":141850,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","volume":"50 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":"126754611","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
A 0.5V True-Single-Phase 16T Flip-Flop in 180-nm CMOS for IoT Applications 用于物联网应用的0.5V真单相16T 180纳米CMOS触发器
2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW) Pub Date : 2021-09-15 DOI: 10.1109/ICCE-TW52618.2021.9602974
Zhi-Zhong Wang, Y. Hung, Jun-Ting Wu, Zheng-Jie Hong, Jin-Fa Lin
{"title":"A 0.5V True-Single-Phase 16T Flip-Flop in 180-nm CMOS for IoT Applications","authors":"Zhi-Zhong Wang, Y. Hung, Jun-Ting Wu, Zheng-Jie Hong, Jin-Fa Lin","doi":"10.1109/ICCE-TW52618.2021.9602974","DOIUrl":"https://doi.org/10.1109/ICCE-TW52618.2021.9602974","url":null,"abstract":"A low voltage and low power true-single-phase flip-flop (FF) design using 16-transistor only is proposed. It is adapted from conventional master-slave based design and reduces layout area by using hybrid logic scheme. Optimization measures have resulted in a new FF with better power and area performances. Based on simulation results using the TSMC CMOS 180nm, our design achieves the conventional TGFF design by 67.3% in energy and 30.8% in layout area.","PeriodicalId":141850,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","volume":"C-19 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":"126770622","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
Optimizing Power IC Layouts by Simulation Tools 利用仿真工具优化电源IC布局
2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW) Pub Date : 2021-09-15 DOI: 10.1109/ICCE-TW52618.2021.9603082
Shao-Chang Huang, Ching-Ho Li, Li-Fan Chen, Chun-Chih Chen, K. Hsu, Gong-Kai Lin, Jian-Hsing Lee
{"title":"Optimizing Power IC Layouts by Simulation Tools","authors":"Shao-Chang Huang, Ching-Ho Li, Li-Fan Chen, Chun-Chih Chen, K. Hsu, Gong-Kai Lin, Jian-Hsing Lee","doi":"10.1109/ICCE-TW52618.2021.9603082","DOIUrl":"https://doi.org/10.1109/ICCE-TW52618.2021.9603082","url":null,"abstract":"Power Integrated Circuit (IC) needs to consume huge currents so it often includes a large size device. In order to approach IC driving capabilities, 1.5 times to the simulation size can be used. In this study, 40 % reduction in IC layout can be reached after the correct simulation tool flow is adopted.","PeriodicalId":141850,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","volume":"250 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":"122936570","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
Automatic Data Acquisition of Indoor Environment Using the Autonomous Mobile Robot 基于自主移动机器人的室内环境自动数据采集
2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW) Pub Date : 2021-09-15 DOI: 10.1109/ICCE-TW52618.2021.9602912
Chieh Lin, Pei-Che Hsieh, Sih-Han Wang, H. Chiang
{"title":"Automatic Data Acquisition of Indoor Environment Using the Autonomous Mobile Robot","authors":"Chieh Lin, Pei-Che Hsieh, Sih-Han Wang, H. Chiang","doi":"10.1109/ICCE-TW52618.2021.9602912","DOIUrl":"https://doi.org/10.1109/ICCE-TW52618.2021.9602912","url":null,"abstract":"This paper presents the design and implementation of an autonomous mobile robot (AMR) with its solutions for combining the AMR and multi-source wireless instruments to achieve automated data verification and acquisition under indoor environments. In our development, the AMR can communicate with test instruments like oscilloscopes or mobile devices and control them. While site survey process with the map which was built in advance, the AMR can automatically navigate in accordance with planned routes and collect data that user needed such as geomagnetism or channel state information in the indoor environment.","PeriodicalId":141850,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","volume":"13 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":"122530500","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
Automated Detection System for Acoustic Signal of Breath 呼吸声信号自动检测系统
2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW) Pub Date : 2021-09-15 DOI: 10.1109/ICCE-TW52618.2021.9603163
Hsiu-Ting Hsu, K. Chen, Po-Yen Huang, Y. Chu
{"title":"Automated Detection System for Acoustic Signal of Breath","authors":"Hsiu-Ting Hsu, K. Chen, Po-Yen Huang, Y. Chu","doi":"10.1109/ICCE-TW52618.2021.9603163","DOIUrl":"https://doi.org/10.1109/ICCE-TW52618.2021.9603163","url":null,"abstract":"The breathing signal itself contains rich information. By observing breathing signals, we can analyze many physical functions. However, most of the old breathing measurement methods such as straps and stethoscopes require the assistance of others and are easy to restrain the patient, so that it is difficult to get close to real life situations.In this study, We first use the microphone of the personal mobile phone to record the breathing signal, and use Mel-Frequency Cepstral Coefficient to obtain the characteristics. Then, with DNN, it can successfully achieve automatic classification of exhale, inhale and silence phases in human breathing behavior. The accuracy rate is as high as 94.66% when there are 90 subjects. In addition, DNN is also used to do recognition of respiratory symptoms. Combined with the analysis of the breathing rate, we complete an integrated system for judging symptoms and fatigue detection based on the respiratory signal.","PeriodicalId":141850,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","volume":"74 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":"128739462","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
A Deep Metric Learning Method with Combined Loss of Triplet Network and Autoencoder 一种三重网络与自编码器相结合的深度度量学习方法
2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW) Pub Date : 2021-09-15 DOI: 10.1109/ICCE-TW52618.2021.9603004
Po-Hsuan Yen, C. Tseng, Su-Ling Lee
{"title":"A Deep Metric Learning Method with Combined Loss of Triplet Network and Autoencoder","authors":"Po-Hsuan Yen, C. Tseng, Su-Ling Lee","doi":"10.1109/ICCE-TW52618.2021.9603004","DOIUrl":"https://doi.org/10.1109/ICCE-TW52618.2021.9603004","url":null,"abstract":"In this paper, a deep metric learning method with combined loss of the triplet network and autoencoder is presented. Autoencoder is regarded as the regulation network to enable the embedding vector to have some latent features of the input image, and improve its performance. Compared with the pure triplet network, although it increases some complexity during training due to the addition of the decoder, but during testing, their complexities are exactly the same, because the decoder can be completely removed after training. The experiments of the proposed method, triplet network, and one-hot encoded network are performed on various character datasets to show that the proposed method not only achieve better classification performance, but also inherit the benefits of deep metric learning.","PeriodicalId":141850,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","volume":"17 8 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":"128669609","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
K-means based RANSAC Algorithm for ICP Registration of 3D Point Cloud with Dense Outliers 基于K-means的密集离群点云三维ICP配准RANSAC算法
2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW) Pub Date : 2021-09-15 DOI: 10.1109/ICCE-TW52618.2021.9603053
Chao-Chung Peng
{"title":"K-means based RANSAC Algorithm for ICP Registration of 3D Point Cloud with Dense Outliers","authors":"Chao-Chung Peng","doi":"10.1109/ICCE-TW52618.2021.9603053","DOIUrl":"https://doi.org/10.1109/ICCE-TW52618.2021.9603053","url":null,"abstract":"In this work, a strategy for the 3D point cloud registration in the presence of multiple groups of outliers is addressed. Regarding to the point cloud registration, the iterative closed point (ICP) is a frequently used algorithm. Many related works have pointed out that robust point cloud matching can be achieved by using correspondence weight design or some other feature extraction techniques. However, it is interesting that whether it is possible to use traditional point-to-point ICP to deal with the point cloud registration in the presence of dense outlier clusters even without the aid of ICP weight design or point cloud feature extraction. To solve this question, a K-means based random sample consensus (RANSAC) strategy is presented. For a given data point clouds with high dense outliers, the K-means is firstly applied to cluster the point clouds. After that, the registration process cooperates with RANSAC's random cluster sampling for ICP matching, and calculates the sample with the highest matching score as the best candidate for point cloud matching. Here, we name this procedure as K-means based RANSAC ICP (KR-ICP). Through this point cloud registration strategy, the influence of multiple clusters of dense outliers on ICP registration can be avoided. Finally, this study verified the feasibility of this strategy via simulations. The proposed scheme can be extended to the related applications of point cloud initial pose alignment.","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":"129491184","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
Children's Implicit Authentication based on Gesture Feature for Smartphone 基于智能手机手势特征的儿童隐式身份验证
2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW) Pub Date : 2021-09-15 DOI: 10.1109/ICCE-TW52618.2021.9603137
Xinxian Zhang, Jiangyang Lan, Ruihan Li, Dan Tao
{"title":"Children's Implicit Authentication based on Gesture Feature for Smartphone","authors":"Xinxian Zhang, Jiangyang Lan, Ruihan Li, Dan Tao","doi":"10.1109/ICCE-TW52618.2021.9603137","DOIUrl":"https://doi.org/10.1109/ICCE-TW52618.2021.9603137","url":null,"abstract":"This paper proposes a gesture feature based implicit authentication scheme for children. 8 kinds of embedded sensors, e.g. accelerator, gyroscope, gravimeter, are used to record the gesture data of users using smartphone, and 30 groups of sophisticated gesture features are extracted from total 156 groups for model training. Finally, based on a real-world dataset including gesture data from 32 adults and 27 children, a series of experiments are performed, and the effectiveness of our proposed solution is testified.","PeriodicalId":141850,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","volume":"61 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":"129641045","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
Impact of Investor Sentiment on Stock Returns Using Fine-tune BERT 利用微调BERT分析投资者情绪对股票收益的影响
2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW) Pub Date : 2021-09-15 DOI: 10.1109/ICCE-TW52618.2021.9602873
Chien-Cheng Lee, Hung-Chun Huang, Chun-Li Tsai
{"title":"Impact of Investor Sentiment on Stock Returns Using Fine-tune BERT","authors":"Chien-Cheng Lee, Hung-Chun Huang, Chun-Li Tsai","doi":"10.1109/ICCE-TW52618.2021.9602873","DOIUrl":"https://doi.org/10.1109/ICCE-TW52618.2021.9602873","url":null,"abstract":"In this study, we explore the impact of investor sentiment on stock returns. We fine-tune the BERT language model to capture investor sentiment from messages posted on the social media platform StockTwits. Apple Inc. (AAPL) stock is selected in this investigation because it has more significance in statistics based on its tremendous messages on StockTwits. A linear regression model is constructed to analyze the relationship between investor sentiment and stock returns. The experimental results show that there is a positive correlation between stock returns and investor sentiment. The investor sentiment can impact the Apple Inc. stock return.","PeriodicalId":141850,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","volume":"17 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":"129232541","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
5G MIMO Antenna with Isolation Effect for Handheld Device Applications 手持设备应用中具有隔离效果的5G MIMO天线
2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW) Pub Date : 2021-09-15 DOI: 10.1109/ICCE-TW52618.2021.9603023
Chao-Lun Liu, Ming-Tien Wu, Shu-Min Tsai
{"title":"5G MIMO Antenna with Isolation Effect for Handheld Device Applications","authors":"Chao-Lun Liu, Ming-Tien Wu, Shu-Min Tsai","doi":"10.1109/ICCE-TW52618.2021.9603023","DOIUrl":"https://doi.org/10.1109/ICCE-TW52618.2021.9603023","url":null,"abstract":"This paper proposes an array antenna design with eight antennas. Each antenna element is composed of an inverted F-shaped antenna. In addition to its broadband characteristics, it also includes an isolation design with each other. The frequency bands are 3.3-3.8GHz, 4.5-4.6Ghz, 4.8-4.9GHz, the reflection coefficients of the eight antennas are all less than -10dB, and the coupling effect of these frequency bands are also less than -10dB.","PeriodicalId":141850,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","volume":"493 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":"123402723","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信