Pub Date : 2020-10-23DOI: 10.1109/ECICE50847.2020.9301996
W. J. Wei, L. C. Lee, J. Kuo
The study purposes to develop a Smart Early Childhood Education Service System (SECESS) including emotion detection, statistical analysis, and training service for kindergartens. The digital content comprises 40 emotion-detection (ED) games and 40 sandwich-dialogue (SD) animations. The findings show the improvement of parents’ and teachers’ SD ability by using 40 SD animations and a significantly positive correlation between SD ability and children’s emotional ability. The application of findings in practice builds a global education farm experience. The application of findings in follow-up research is to predict children's emotions based on parents’ and teachers’ SD ability.
{"title":"Development and Validation of Smart Education System for Early Childhood","authors":"W. J. Wei, L. C. Lee, J. Kuo","doi":"10.1109/ECICE50847.2020.9301996","DOIUrl":"https://doi.org/10.1109/ECICE50847.2020.9301996","url":null,"abstract":"The study purposes to develop a Smart Early Childhood Education Service System (SECESS) including emotion detection, statistical analysis, and training service for kindergartens. The digital content comprises 40 emotion-detection (ED) games and 40 sandwich-dialogue (SD) animations. The findings show the improvement of parents’ and teachers’ SD ability by using 40 SD animations and a significantly positive correlation between SD ability and children’s emotional ability. The application of findings in practice builds a global education farm experience. The application of findings in follow-up research is to predict children's emotions based on parents’ and teachers’ SD ability.","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115929397","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 : 2020-10-23DOI: 10.1109/ECICE50847.2020.9301935
Tao Zou, W. Rong, He Ma, Ye Zhang, Zhichao Pei, Jian Li
Gallium-indium alloy is a kind of liquid metal and an important material in flexible circuits, wearable devices, micro-sensors and so on. Owing to its strong surface oxide film, it is difficult to process. Thus, fabricating the micro-nano structures with high repeatability and high precision has become a research focus in recent years. We propose a method of processing liquid metal with the aid of an electric field using a conducting atomic force microscope (CAFM) probe for the first time. The commercial self-sensing AFM probes were transformed into CAFM probes through micro-manipulation, and a set of low-cost and high-precision CAFM was designed and built. The liquid metal atoms were first coated on a CAFM tip and then, ionized and polarized when a threshold tip bias was achieved, thereby depositing onto the substrate. The patterning of liquid metal micro-nano structures was made by controlling the tip bias, the power-on time, and the moving speed of the probe. The manufacturing resolution of the structures reached 2μm, and the thickness was approximately 10-20 nm. The new fabrication strategy and the basic principle have a generalized purpose and are applied to nano-electronic devices, chip circuits, nano welding, and other fields.
{"title":"Field-Assisted Direct Patterning in Micro-Nano Structure of Liquid Metal with Self-Made Conducting Atomic Force Microscope","authors":"Tao Zou, W. Rong, He Ma, Ye Zhang, Zhichao Pei, Jian Li","doi":"10.1109/ECICE50847.2020.9301935","DOIUrl":"https://doi.org/10.1109/ECICE50847.2020.9301935","url":null,"abstract":"Gallium-indium alloy is a kind of liquid metal and an important material in flexible circuits, wearable devices, micro-sensors and so on. Owing to its strong surface oxide film, it is difficult to process. Thus, fabricating the micro-nano structures with high repeatability and high precision has become a research focus in recent years. We propose a method of processing liquid metal with the aid of an electric field using a conducting atomic force microscope (CAFM) probe for the first time. The commercial self-sensing AFM probes were transformed into CAFM probes through micro-manipulation, and a set of low-cost and high-precision CAFM was designed and built. The liquid metal atoms were first coated on a CAFM tip and then, ionized and polarized when a threshold tip bias was achieved, thereby depositing onto the substrate. The patterning of liquid metal micro-nano structures was made by controlling the tip bias, the power-on time, and the moving speed of the probe. The manufacturing resolution of the structures reached 2μm, and the thickness was approximately 10-20 nm. The new fabrication strategy and the basic principle have a generalized purpose and are applied to nano-electronic devices, chip circuits, nano welding, and other fields.","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115476566","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 : 2020-10-23DOI: 10.1109/ecice50847.2020.9301945
{"title":"ECICE 2020 Cover Page","authors":"","doi":"10.1109/ecice50847.2020.9301945","DOIUrl":"https://doi.org/10.1109/ecice50847.2020.9301945","url":null,"abstract":"","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127546681","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 : 2020-10-23DOI: 10.1109/ECICE50847.2020.9301986
Chen-Che Lee, Hsin-Che Lee, Hsin-Jung Lee, Wei-Yu Lee, W. Chuang
In this work, a method of analyzing the crystal quality of epitaxial GaN by Raman spectroscopy was established. An AlN layer was deposited on sapphire substrate by sputtering and an AlGaN/GaN HEMT device is fabricated. The relationship between the dislocation density of GaN with/without AlN layer and the electrical performance was studied.
{"title":"Raman Scattering Method to Measure and Improve the GaN Epitaxial layer of HEMT","authors":"Chen-Che Lee, Hsin-Che Lee, Hsin-Jung Lee, Wei-Yu Lee, W. Chuang","doi":"10.1109/ECICE50847.2020.9301986","DOIUrl":"https://doi.org/10.1109/ECICE50847.2020.9301986","url":null,"abstract":"In this work, a method of analyzing the crystal quality of epitaxial GaN by Raman spectroscopy was established. An AlN layer was deposited on sapphire substrate by sputtering and an AlGaN/GaN HEMT device is fabricated. The relationship between the dislocation density of GaN with/without AlN layer and the electrical performance was studied.","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124922152","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 : 2020-10-23DOI: 10.1109/ECICE50847.2020.9302012
Han-Chun Chi, Tsun-Hung Tsai, Szu-Yu Chen
A SLAM-based AR technology makes the exhibition richer and diversified. The audience can move in the real space to interact with virtual objects that are realistic in the interactive form. Besides, the integration between virtual objects and real space is also closer. This research designs an interactive solution called “AR Cross-center Interactive Device” by using buttons and combining the advantages of SLAM-based AR. The cross-center system is used for users to quickly understand the target of the interactive object and simply operate with buttons. This research uses the device in an interactive exhibition that related to the history of education in Taiwan. We expect that the introduction of this system helps users respond intuitively and provides an effective interactive solution in the SLAM-based AR exhibitions.
{"title":"SLAM-based Augmented Reality System in Interactive Exhibition","authors":"Han-Chun Chi, Tsun-Hung Tsai, Szu-Yu Chen","doi":"10.1109/ECICE50847.2020.9302012","DOIUrl":"https://doi.org/10.1109/ECICE50847.2020.9302012","url":null,"abstract":"A SLAM-based AR technology makes the exhibition richer and diversified. The audience can move in the real space to interact with virtual objects that are realistic in the interactive form. Besides, the integration between virtual objects and real space is also closer. This research designs an interactive solution called “AR Cross-center Interactive Device” by using buttons and combining the advantages of SLAM-based AR. The cross-center system is used for users to quickly understand the target of the interactive object and simply operate with buttons. This research uses the device in an interactive exhibition that related to the history of education in Taiwan. We expect that the introduction of this system helps users respond intuitively and provides an effective interactive solution in the SLAM-based AR exhibitions.","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131716184","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 : 2020-10-23DOI: 10.1109/ECICE50847.2020.9301968
Runfeng Yang, Xi Wang
The extensive use application of visual perception technology in Unmanned Aerial Vehicle (UAV) has brought great changes to the application of UAV in various fields. It is challenge to detect in landmark images for UAV. During UAV flight in different environments, the performance of landmark detection to deteriorate seriously have been caused by the uncertainty of landmark orientation, the diversity of landmark types and the similarities. This paper presents landmark detection of UAV based on Convolutional Neural Network (CNN). Theoretical analysis and experimental results demonstrate landmark recognition with an accuracy of at least 96% to match deployed in UAV, and the proposed CNN can make a correct classification.
{"title":"UAV Landmark Detection Based on Convolutional Neural Network","authors":"Runfeng Yang, Xi Wang","doi":"10.1109/ECICE50847.2020.9301968","DOIUrl":"https://doi.org/10.1109/ECICE50847.2020.9301968","url":null,"abstract":"The extensive use application of visual perception technology in Unmanned Aerial Vehicle (UAV) has brought great changes to the application of UAV in various fields. It is challenge to detect in landmark images for UAV. During UAV flight in different environments, the performance of landmark detection to deteriorate seriously have been caused by the uncertainty of landmark orientation, the diversity of landmark types and the similarities. This paper presents landmark detection of UAV based on Convolutional Neural Network (CNN). Theoretical analysis and experimental results demonstrate landmark recognition with an accuracy of at least 96% to match deployed in UAV, and the proposed CNN can make a correct classification.","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131177775","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 : 2020-10-23DOI: 10.1109/ECICE50847.2020.9301950
Yu-Che Lin, J. Chou, Chih-Hsien Lai, Po-Yu Kuo, Y. Nien, Jun-Xiang Chang, Geng-Ming Hu, Zhen-Rong Yong
As the third-generation photovoltaic cells, dye-sensitized solar cells (DSSCs) have great potential for application under indoor lighting. We investigate the application of titanium dioxide (TiO2) films that are modified by silver nanowires (AgNWs) under low illumination. The low-illuminance photovoltaic characteristics of DSSCs are measured using a T5 LED light source to simulate indoor applications. According to experimental results, the DSSCs modified by AgNWs obtains a higher photovoltaic conversion efficiency under low illumination.
{"title":"Dye-Sensitized Solar Cell Using TiO2/ AgNWs Film: Application under Low Illumination","authors":"Yu-Che Lin, J. Chou, Chih-Hsien Lai, Po-Yu Kuo, Y. Nien, Jun-Xiang Chang, Geng-Ming Hu, Zhen-Rong Yong","doi":"10.1109/ECICE50847.2020.9301950","DOIUrl":"https://doi.org/10.1109/ECICE50847.2020.9301950","url":null,"abstract":"As the third-generation photovoltaic cells, dye-sensitized solar cells (DSSCs) have great potential for application under indoor lighting. We investigate the application of titanium dioxide (TiO2) films that are modified by silver nanowires (AgNWs) under low illumination. The low-illuminance photovoltaic characteristics of DSSCs are measured using a T5 LED light source to simulate indoor applications. According to experimental results, the DSSCs modified by AgNWs obtains a higher photovoltaic conversion efficiency under low illumination.","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131225598","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 : 2020-10-23DOI: 10.1109/ECICE50847.2020.9301962
Tianshu Chen
Haze increases the possibility of accidents. Therefore, it is important to improve the accuracy of the vehicle identification system in such a situation. This research proposes an image pre-processing algorithm for the system. Firstly, the accuracy is enhanced by the Single Scale Retinex algorithm. Secondly, the pictures are processed by V-system processing. Finally, the pre-processed pictures are identified by dense convolution network. The results show that the algorithm’s accuracy is 0.93% higher than the traditional method.
{"title":"Vehicle Identification in Haze Based on V-System and Dense Convolution Network","authors":"Tianshu Chen","doi":"10.1109/ECICE50847.2020.9301962","DOIUrl":"https://doi.org/10.1109/ECICE50847.2020.9301962","url":null,"abstract":"Haze increases the possibility of accidents. Therefore, it is important to improve the accuracy of the vehicle identification system in such a situation. This research proposes an image pre-processing algorithm for the system. Firstly, the accuracy is enhanced by the Single Scale Retinex algorithm. Secondly, the pictures are processed by V-system processing. Finally, the pre-processed pictures are identified by dense convolution network. The results show that the algorithm’s accuracy is 0.93% higher than the traditional method.","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134013603","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 : 2020-10-23DOI: 10.1109/ECICE50847.2020.9301967
T. Hsieh, J. Perng
It is attempt that uses dental bones to receive audio signals are rare in the past. Therefore, the main contribution of this article is to understand and analyze the audio signal through the teeth. Our homemade laser pointer has a wavelength of 630-650 nm and a maximum output of 5 milliwatts. It will light up when the smartphone’s music starts playing at a music frequency that matches the light frequency. The frequency signal of the light received by the solar panel is converted into an electrical analog signal, and then output to the DC motor. The motor shaft will not rotate under a small current, but will only slightly vibrate according to the analog frequency of the current. By biting the vibration axis with teeth, a person can transmit audio to the ossicles (ie malleus, incus and bone) through the dental bones. This device can enable people with congenital or acquired hearing impairment to access external audio.
{"title":"Application of Photoelectric Conversion to Dentary Bone Conduction Device Using Analog Signals","authors":"T. Hsieh, J. Perng","doi":"10.1109/ECICE50847.2020.9301967","DOIUrl":"https://doi.org/10.1109/ECICE50847.2020.9301967","url":null,"abstract":"It is attempt that uses dental bones to receive audio signals are rare in the past. Therefore, the main contribution of this article is to understand and analyze the audio signal through the teeth. Our homemade laser pointer has a wavelength of 630-650 nm and a maximum output of 5 milliwatts. It will light up when the smartphone’s music starts playing at a music frequency that matches the light frequency. The frequency signal of the light received by the solar panel is converted into an electrical analog signal, and then output to the DC motor. The motor shaft will not rotate under a small current, but will only slightly vibrate according to the analog frequency of the current. By biting the vibration axis with teeth, a person can transmit audio to the ossicles (ie malleus, incus and bone) through the dental bones. This device can enable people with congenital or acquired hearing impairment to access external audio.","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133691586","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 : 2020-10-23DOI: 10.1109/ECICE50847.2020.9301981
Van-Tsai Liu, Hao Liu, L. Yuan
The introduction of new Wide Band Gap (WBG) power semiconductor devices has changed the limitations of power converters in terms of efficiency and power density to achieve the goals of high efficiency, light weight, and small size. This paper proposes a 200VDC/48VDC, 500W output half-bridge converter. The half-bridge converter uses Gallium Nitride (GaN) High Electron Mobility Transistors (HEMT) to test the efficiency. The switching frequency is up to 250 kHz. Mutual verification of the miller effect and probe load error value brought by the high frequency with the actual circuit.
{"title":"Design of High-Frequency Half-Bridge Converter with GaN HEMT","authors":"Van-Tsai Liu, Hao Liu, L. Yuan","doi":"10.1109/ECICE50847.2020.9301981","DOIUrl":"https://doi.org/10.1109/ECICE50847.2020.9301981","url":null,"abstract":"The introduction of new Wide Band Gap (WBG) power semiconductor devices has changed the limitations of power converters in terms of efficiency and power density to achieve the goals of high efficiency, light weight, and small size. This paper proposes a 200VDC/48VDC, 500W output half-bridge converter. The half-bridge converter uses Gallium Nitride (GaN) High Electron Mobility Transistors (HEMT) to test the efficiency. The switching frequency is up to 250 kHz. Mutual verification of the miller effect and probe load error value brought by the high frequency with the actual circuit.","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"240 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132274137","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：