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

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Infrared imagery super-resolution by using a generative adversarial network 基于生成对抗网络的红外图像超分辨
2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW) Pub Date : 2021-09-15 DOI: 10.1109/ICCE-TW52618.2021.9603172
Trong-An Bui, Pei-Jun Lee, Kuan-Min Lee, Walter Wang, Shiual-Hal Shiu
{"title":"Infrared imagery super-resolution by using a generative adversarial network","authors":"Trong-An Bui, Pei-Jun Lee, Kuan-Min Lee, Walter Wang, Shiual-Hal Shiu","doi":"10.1109/ICCE-TW52618.2021.9603172","DOIUrl":"https://doi.org/10.1109/ICCE-TW52618.2021.9603172","url":null,"abstract":"The thermal camera often has a limited spatial resolution compared to the RGB camera with typically provides megapixels of resolution. This study presents a super-resolution architecture for infrared (IR) imagery base on a generative adversarial network. The up-sampling in this proposed network’s design generates a new super-resolution image by four times. Moreover, in this paper, generative network and discriminative models for IR images are presented. The small-object features in super-resolution IR images are shown in the simulation section with high quality.","PeriodicalId":141850,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","volume":"2 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":"114971872","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
Bio-medical Image Analysis for Diagnosis and Healthcare Detection System of Skin Cancer 用于皮肤癌诊断和保健检测系统的生物医学图像分析
2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW) Pub Date : 2021-09-15 DOI: 10.1109/ICCE-TW52618.2021.9603067
Chia-Jung Yu, Chiung-An Chen, Shih-Lun Chen
{"title":"Bio-medical Image Analysis for Diagnosis and Healthcare Detection System of Skin Cancer","authors":"Chia-Jung Yu, Chiung-An Chen, Shih-Lun Chen","doi":"10.1109/ICCE-TW52618.2021.9603067","DOIUrl":"https://doi.org/10.1109/ICCE-TW52618.2021.9603067","url":null,"abstract":"Diagnosis of melanoma not only requires specialized equipment, but melanoma is also the deadliest. Because of a lack of medical resources, patients living in remote areas normally cannot use such facilities for skin detecting. To overcome these problems, this paper discusses opportunities in remote and melanoma detection system, a called telemedicine for the consumer electronics industry. In this research, the proposed melanoma detection system will use a variety of image processing methods, and present the discrimination results on the interface, and help doctors diagnose melanoma, and early detection of melanoma can increase the survival rate of the patients.","PeriodicalId":141850,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","volume":"297 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":"115745799","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
Applications of Grammar-Concept Understanding and Value Trace Problems to Novice Students for C Programming Learning 语法概念理解和价值跟踪问题在初学者C编程学习中的应用
2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW) Pub Date : 2021-09-15 DOI: 10.1109/ICCE-TW52618.2021.9603085
N. Funabiki, Xiqin Lu, San Hay Mar Shwe, Ei Ei Htet, Htoo Htoo Sandi Kyaw, Kiyoshi Ueda, W. Kao
{"title":"Applications of Grammar-Concept Understanding and Value Trace Problems to Novice Students for C Programming Learning","authors":"N. Funabiki, Xiqin Lu, San Hay Mar Shwe, Ei Ei Htet, Htoo Htoo Sandi Kyaw, Kiyoshi Ueda, W. Kao","doi":"10.1109/ICCE-TW52618.2021.9603085","DOIUrl":"https://doi.org/10.1109/ICCE-TW52618.2021.9603085","url":null,"abstract":"To assist self-study of C programming through code reading, we have proposed the grammar-concept understanding problem (GUP) and the value trace problem (VTP). A GUP instance asks the keyword in a given source code that corresponds to the grammar concept described in the question. A VTP instance asks the value of an important variable or message in the code. In both ones, the correctness of any answer is marked through string matching with the correct one. In this paper, we present the application of GUP and VTP instances to first-year undergraduate students taking a C programming course in the computer science department at College of Engineering, Nihon University. The same instances are assigned to be solved several times during the course. The results observe the progress of the correct answer rate as the course elapsed and confirm the effectiveness in study by novice students.","PeriodicalId":141850,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","volume":"231 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120854529","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: 3
The effect of reducing the acoustic-frequency resolution for spectrograms used in deep denoising auto-encoder 研究了在深度去噪自编码器中降低声频分辨率对频谱图的影响
2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW) Pub Date : 2021-09-15 DOI: 10.1109/ICCE-TW52618.2021.9602986
Yan-Tong Chen, Shu-Ting Tsai, J. Hung
{"title":"The effect of reducing the acoustic-frequency resolution for spectrograms used in deep denoising auto-encoder","authors":"Yan-Tong Chen, Shu-Ting Tsai, J. Hung","doi":"10.1109/ICCE-TW52618.2021.9602986","DOIUrl":"https://doi.org/10.1109/ICCE-TW52618.2021.9602986","url":null,"abstract":"In this study, we investigate the effect of varying the acoustic-frequency resolution of the spectrogram for the input signals of the deep denoising auto-encoder (DDAE). DDAE is a well-known deep learning structure that learns the relationship between the noisy signal and the respective clean noise-free one. The most commonly used representative for the input signal used to train the DDAE might be the spectrogram, which is the ordered series of the short-time Fourier transform (STFT) of each frame for the input signal. In this paper, we attempt to reduce the acoustic-frequency resolution of the STFT to see its effect of the learned DDAE in terms of the quality and intelligibility of the output signals. The preliminary experimental results indicate that halving the input frequency points (i.e., reducing the frequency resolution by a factor of 2) provides the learned DDAE with almost the same speech quality and intelligibility, while it helps to down-scale the input feature as well as reduce the computation complexity of the DDAE.","PeriodicalId":141850,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","volume":"9 5 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":"121034404","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 Uniplanar Multi-Band S-shape Antenna for Smart Phone Applications 用于智能手机的单平面多波段s形天线
2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW) Pub Date : 2021-09-15 DOI: 10.1109/ICCE-TW52618.2021.9603142
Jia-Sheng Xu, H. Su
{"title":"A Uniplanar Multi-Band S-shape Antenna for Smart Phone Applications","authors":"Jia-Sheng Xu, H. Su","doi":"10.1109/ICCE-TW52618.2021.9603142","DOIUrl":"https://doi.org/10.1109/ICCE-TW52618.2021.9603142","url":null,"abstract":"This uniplanar antenna covered LTE 900/2300/2500, DCS, PCS, UMTS, and WLAN-2.4 GHz bands for smart phone applications. The size of the phone is 120mm × 60mm × 0.8mm, and the size of this proposed antenna is 26mm × 10.5mm. This antenna consists of the feed strip with an inverted-L shape, and a S-shape antenna connected with an inner inverted-L branch on the top and a bend strip shorting to ground.","PeriodicalId":141850,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","volume":"282 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":"121360572","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
Development of a fake news checking crowdsourcing platform consisting of smart contracts combined with gamification 基于智能合约和游戏化的假新闻检测众包平台的开发
2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW) Pub Date : 2021-09-15 DOI: 10.1109/ICCE-TW52618.2021.9603222
Wei-Shuan Wang, Lai-Chung Lee
{"title":"Development of a fake news checking crowdsourcing platform consisting of smart contracts combined with gamification","authors":"Wei-Shuan Wang, Lai-Chung Lee","doi":"10.1109/ICCE-TW52618.2021.9603222","DOIUrl":"https://doi.org/10.1109/ICCE-TW52618.2021.9603222","url":null,"abstract":"In recent years, fake news has begun spreading rapidly via social media platforms. Several companies and civil organizations have set up crowdsourcing platforms to combat the spread of fake news. However, these platforms usually encounter the problem of insufficient manpower. Research has proven that gamification is an effective way to increase public participation in crowdsourcing. Based on this, this study proposes a fake news checking platform named \"One For All\" comprising smart contracts combined with game crowdsourcing. We added the core drives of Octalysis in gamification during platform design and executed the platform rules using smart contracts to ensure transparency and fairness of the platform. This is expected to increase the public's intention to use the platform and their trust in it.","PeriodicalId":141850,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","volume":"99 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":"124882739","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
Enhance Face Recognition Using Time-series Face Images 利用时间序列人脸图像提高人脸识别能力
2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW) Pub Date : 2021-09-15 DOI: 10.1109/ICCE-TW52618.2021.9603226
H. Chen, G. Peng, Kai Chi Chang, J. Lin, Yi-Hsin Chen, Yu-Kai Lin, Chao-Yi Huang, Jong-Chen Chen
{"title":"Enhance Face Recognition Using Time-series Face Images","authors":"H. Chen, G. Peng, Kai Chi Chang, J. Lin, Yi-Hsin Chen, Yu-Kai Lin, Chao-Yi Huang, Jong-Chen Chen","doi":"10.1109/ICCE-TW52618.2021.9603226","DOIUrl":"https://doi.org/10.1109/ICCE-TW52618.2021.9603226","url":null,"abstract":"In recent years, with the gradual development of computer vision-related technologies, the face recognition-related technology has gradually become one of the mainstream security system options. In this study, we use MTCNN[1] for preprocessing and LRCNs[2] network structure and time-series face image data to try to solve the problem of unrecognizable user due to face blocking or face angle, when a frame is unrecognizable, we can still compare the user's characteristics with other frames and determine their identity.","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":"125833250","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: 3
Managing TCP Congestion Control of Smartphones toward Advanced Control 面向高级控制的智能手机TCP拥塞控制管理
2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW) Pub Date : 2021-09-15 DOI: 10.1109/ICCE-TW52618.2021.9603132
Natsuki Katsumata, Kouto Miyazawa, Saneyasu Yamaguchi
{"title":"Managing TCP Congestion Control of Smartphones toward Advanced Control","authors":"Natsuki Katsumata, Kouto Miyazawa, Saneyasu Yamaguchi","doi":"10.1109/ICCE-TW52618.2021.9603132","DOIUrl":"https://doi.org/10.1109/ICCE-TW52618.2021.9603132","url":null,"abstract":"A communication throughput is an important performance of a smartphone, in particular for big data applications. The output speed is controlled by its congestion control algorithm that is running in its kernel space. One of the promising methods for improving congestion control is congestion control via deep learning. However, most of all the deep learning systems run in the userspace, and the congestion control algorithm runs in the kernel space. For achieving this, managing the congestion control behavior in the kernel space from userspace is necessary. In this paper, we propose a system in which a userspace process can set the congestion window size in the kernel space of the Linux kernel by focusing on the Android operating system. We then present system evaluations and show that the proposed system can suitably manage the congestion control behavior in the operating system. The proposed system monitors the congestion window size in the kernel space and transmits it to the userspace via /proc filesystem. Similarly, this transmits a value specified by a userspace process to the kernel space and applies the value to the congestion window size.","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":"126181850","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
A Compact Multi-Bands Antenna for 4G Mobile Terminals 一种适用于4G移动终端的紧凑型多波段天线
2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW) Pub Date : 2021-09-15 DOI: 10.1109/ICCE-TW52618.2021.9602926
H. Su, Huan-Sheng Lyu
{"title":"A Compact Multi-Bands Antenna for 4G Mobile Terminals","authors":"H. Su, Huan-Sheng Lyu","doi":"10.1109/ICCE-TW52618.2021.9602926","DOIUrl":"https://doi.org/10.1109/ICCE-TW52618.2021.9602926","url":null,"abstract":"A compact multi-bands antenna for the 4G mobile terminal applications is presented. The proposed antenna consists of a T shape feeding structure and an inverted F shape radiation structure. Among them, the T shape feeding structure covers the WLAN2.4-GHz and LTE2600 bands; the inverted F-shape antenna covers the GSM850/900, LTE1800. A prototype was fabricated and measured on a FR4 substrate with an overall size of 135 mm × 55 mm × 0.8 mm and the size of antenna only has 55 mm × 8 mm × 0.8 mm. The measured efficiencies are above 40% at all work bands.","PeriodicalId":141850,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","volume":"264 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":"123713303","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
Sales Forecasting Using ANNs or RNNs - A Case Study of Freeway Service Station in Taiwan 基于人工神经网络或随机神经网络的销售预测——以台湾高速公路服务站为例
2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW) Pub Date : 2021-09-15 DOI: 10.1109/ICCE-TW52618.2021.9603197
Yiqiu Lin, Chia-Sheng Cheng, Yi-Chung Chen
{"title":"Sales Forecasting Using ANNs or RNNs - A Case Study of Freeway Service Station in Taiwan","authors":"Yiqiu Lin, Chia-Sheng Cheng, Yi-Chung Chen","doi":"10.1109/ICCE-TW52618.2021.9603197","DOIUrl":"https://doi.org/10.1109/ICCE-TW52618.2021.9603197","url":null,"abstract":"Following recent progress in neural networks, an increasing number of researchers have applied this technique to sales forecasting. The accurate prediction of sales enables businesses to reduce stockpiles and scrap costs. However, it has been heavily debated whether artificial neural networks (ANNs) or recurrent neural networks (RNNs) are the most appropriate for sales forecasting. A number of factors influence sales, and it is difficult to determine whether daily business conditions are independent of each other. To fill this gap in the literature, we first employed conventional data analysis to identify suitable input fields for ANN and RNN. We then input these fields into both types of neural network. To verify the validity of our discussion, we conducted an analysis using a real-world sales dataset from a service station on a freeway in Taiwan.","PeriodicalId":141850,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","volume":"18 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":"125537962","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
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