Pub Date : 2020-10-23DOI: 10.1109/ECICE50847.2020.9302005
C. Kao, C. Chang, Ching-Po Cho, Jin-Yuan Shun
For Internet Service Providers (ISPs), network traffic load prediction enables various practical applications such as load balancing, network planning, and network maintenance. With these applications, traffic load prediction is regarded as an important technology for developing intelligent network management and predictive maintenance. Predictive maintenance allows ISPs to be cost-effective. Traffic load prediction can assist humans in decision-making and increase automation. To predict traffic load, we apply deep-learning and ensemble-learning approaches. The main contributions of this paper are: (1) we formulate the network traffic load prediction problem, and implement a deep-learning-based system to resolve it; (2) we propose an ensemble-learning method that leverages multiple deep-learning models to obtain better predictive performance than any of the constituent deep-learning models; and (3) we evaluate the models using the real data.
{"title":"Deep Learning and Ensemble Learning for Traffic Load Prediction in Real Network","authors":"C. Kao, C. Chang, Ching-Po Cho, Jin-Yuan Shun","doi":"10.1109/ECICE50847.2020.9302005","DOIUrl":"https://doi.org/10.1109/ECICE50847.2020.9302005","url":null,"abstract":"For Internet Service Providers (ISPs), network traffic load prediction enables various practical applications such as load balancing, network planning, and network maintenance. With these applications, traffic load prediction is regarded as an important technology for developing intelligent network management and predictive maintenance. Predictive maintenance allows ISPs to be cost-effective. Traffic load prediction can assist humans in decision-making and increase automation. To predict traffic load, we apply deep-learning and ensemble-learning approaches. The main contributions of this paper are: (1) we formulate the network traffic load prediction problem, and implement a deep-learning-based system to resolve it; (2) we propose an ensemble-learning method that leverages multiple deep-learning models to obtain better predictive performance than any of the constituent deep-learning models; and (3) we evaluate the models using the real data.","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"101 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":"122939787","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/ECICE50847.2020.9301916
Chih-ming Wu, Lin-Yan Li, Yingyi Lai, Celia Xiao
This study integrates the Building Information Modeling (BIM) technology and Virtual Reality (VR) technology to construct a three-dimensional visualization application scenario of facility management in the operation phase of the utility tunnel, then able to conduct analysis test and obtain experience of operation and maintenance system in advance. Through the municipal utility tunnel VR visualization scene, the fire alarm system of utility tunnel is tested and implemented.
{"title":"Development and Application of Municipal Utility Tunnel Facility Management Based on BIM and VR","authors":"Chih-ming Wu, Lin-Yan Li, Yingyi Lai, Celia Xiao","doi":"10.1109/ECICE50847.2020.9301916","DOIUrl":"https://doi.org/10.1109/ECICE50847.2020.9301916","url":null,"abstract":"This study integrates the Building Information Modeling (BIM) technology and Virtual Reality (VR) technology to construct a three-dimensional visualization application scenario of facility management in the operation phase of the utility tunnel, then able to conduct analysis test and obtain experience of operation and maintenance system in advance. Through the municipal utility tunnel VR visualization scene, the fire alarm system of utility tunnel is tested and implemented.","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"146 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":"127959903","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/ECICE50847.2020.9301948
C. Oppus, M. L. Guico, Jose Claro Monje, Maria Aileen Leah Guzman Annael Domingo, G. Ngo, M. G. Retirado, John Chris Kwong
The increasing demand for freshwater supply in the Philippines forces unsustainable extraction and unintentional contamination of the groundwater reservoirs. It is thus imperative that the groundwater sources be monitored for water level and quality. The Philippines has groundwater monitoring wells strategically installed in locations identified as critical areas. Accessibility of location and high cost of provisions and logistics prevent proper maintenance and continuous monitoring of these groundwater wells. This project addresses these by deploying a remote real-time groundwater level and quality sensor system. The groundwater wells initially monitored are located over three sites in Metro Manila, namely, Malabon, Marikina, and Alabang. Each site has a sensor system that collects and transmits seven parameters related to static water level and water quality and the deployed module’s power status. With a solar charging component, the deployed module can power itself for at least 6 months with minimal maintenance. The system delivers the maximum transmission reliability of 92% in the field with hourly sending rates and more than satisfies the required one data set per day minimum by the funding agency.
{"title":"Remote and Real-time Sensor System for Groundwater Level and Quality","authors":"C. Oppus, M. L. Guico, Jose Claro Monje, Maria Aileen Leah Guzman Annael Domingo, G. Ngo, M. G. Retirado, John Chris Kwong","doi":"10.1109/ECICE50847.2020.9301948","DOIUrl":"https://doi.org/10.1109/ECICE50847.2020.9301948","url":null,"abstract":"The increasing demand for freshwater supply in the Philippines forces unsustainable extraction and unintentional contamination of the groundwater reservoirs. It is thus imperative that the groundwater sources be monitored for water level and quality. The Philippines has groundwater monitoring wells strategically installed in locations identified as critical areas. Accessibility of location and high cost of provisions and logistics prevent proper maintenance and continuous monitoring of these groundwater wells. This project addresses these by deploying a remote real-time groundwater level and quality sensor system. The groundwater wells initially monitored are located over three sites in Metro Manila, namely, Malabon, Marikina, and Alabang. Each site has a sensor system that collects and transmits seven parameters related to static water level and water quality and the deployed module’s power status. With a solar charging component, the deployed module can power itself for at least 6 months with minimal maintenance. The system delivers the maximum transmission reliability of 92% in the field with hourly sending rates and more than satisfies the required one data set per day minimum by the funding agency.","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"145 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":"121391067","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/ECICE50847.2020.9301983
Jih-Tseng Yeh, Wei-Jen Chen
Badminton is a popular sport for all ages. This sport is considered as one of the less environment-friendly sports due to the consumption of the shuttlecocks. To solve this problem and improve the durability of a shuttlecock, many manufacturers have developed synthetic shuttlecocks. Most of the shuttlecocks are made of plastic as skirts. Recently, carbon fiber and foam material are used for the shaft and the vane of the feather of shuttlecocks. As the flying speed of the shuttlecock is the fastest among all kinds of sports, the aerodynamic performance is mainly considered as the subject for studying the characteristics of a shuttlecock. To present the aerodynamic characteristics of a shuttlecock, a wind tunnel test is used in various research methods. Thus, besides actual badminton games for testing and comparison, this study also uses a small-size wind tunnel to collect data from natural feather and carbon fiber Shuttlecock. The results of the comparison show that the shape of the shuttlecock of carbon fiber is similar to that of the feather and completely different from that of plastic. After the actual badminton games, the durability of the carbon fiber shuttlecock proved the durability
{"title":"Characteristics of Carbon Fiber for Badminton Gears","authors":"Jih-Tseng Yeh, Wei-Jen Chen","doi":"10.1109/ECICE50847.2020.9301983","DOIUrl":"https://doi.org/10.1109/ECICE50847.2020.9301983","url":null,"abstract":"Badminton is a popular sport for all ages. This sport is considered as one of the less environment-friendly sports due to the consumption of the shuttlecocks. To solve this problem and improve the durability of a shuttlecock, many manufacturers have developed synthetic shuttlecocks. Most of the shuttlecocks are made of plastic as skirts. Recently, carbon fiber and foam material are used for the shaft and the vane of the feather of shuttlecocks. As the flying speed of the shuttlecock is the fastest among all kinds of sports, the aerodynamic performance is mainly considered as the subject for studying the characteristics of a shuttlecock. To present the aerodynamic characteristics of a shuttlecock, a wind tunnel test is used in various research methods. Thus, besides actual badminton games for testing and comparison, this study also uses a small-size wind tunnel to collect data from natural feather and carbon fiber Shuttlecock. The results of the comparison show that the shape of the shuttlecock of carbon fiber is similar to that of the feather and completely different from that of plastic. After the actual badminton games, the durability of the carbon fiber shuttlecock proved the durability","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"20 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":"116423768","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/ECICE50847.2020.9301973
Cheng-Yan Siao, Jhe-Wei Lin, Rong-Guey Chang
Industry 4.0 consists of smart factories and intelligent manufacturing. It has been expanding to the mechanical industry recently. The rapid development of technology and the requirement of high quality and yield lead to the importance of robots. As a result, the robot language has become critical. For this issue, the robot language compiler becomes most important. To remedy the issues mentioned above, we aim at developing, designing, and implementing a robot compiler. Since the CPUs used in robots have been upgraded gradually, optimization techniques need to improve the performance of robot applications. Finally, the extension of LLVM is investigated to support robots by adding a backend of G-code in the aid of LLVM intermediate representation.
{"title":"Robot Language Compiler","authors":"Cheng-Yan Siao, Jhe-Wei Lin, Rong-Guey Chang","doi":"10.1109/ECICE50847.2020.9301973","DOIUrl":"https://doi.org/10.1109/ECICE50847.2020.9301973","url":null,"abstract":"Industry 4.0 consists of smart factories and intelligent manufacturing. It has been expanding to the mechanical industry recently. The rapid development of technology and the requirement of high quality and yield lead to the importance of robots. As a result, the robot language has become critical. For this issue, the robot language compiler becomes most important. To remedy the issues mentioned above, we aim at developing, designing, and implementing a robot compiler. Since the CPUs used in robots have been upgraded gradually, optimization techniques need to improve the performance of robot applications. Finally, the extension of LLVM is investigated to support robots by adding a backend of G-code in the aid of LLVM intermediate representation.","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"65 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":"123809459","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/ECICE50847.2020.9301995
Wei-Ping Ma, C. Y. Nian, Hanghuang Xu, Yi-Bin Huang, Chien-Cheng Lo
For efficient inspection four-blade axial flow fan, this study applies "Internet of Things" (IoT) devices to establish and implement a wireless image transmission of axial flow fan blades. The experimental results show that direct images are successfully transmitted to the control terminal through Wi-Fi, which solves the technical problem encountered in similar studies and reduces the difficulty and cost of the experiment.
{"title":"Wireless Image Transmission for Visualization around Axial Flow Fan Blades in IoT","authors":"Wei-Ping Ma, C. Y. Nian, Hanghuang Xu, Yi-Bin Huang, Chien-Cheng Lo","doi":"10.1109/ECICE50847.2020.9301995","DOIUrl":"https://doi.org/10.1109/ECICE50847.2020.9301995","url":null,"abstract":"For efficient inspection four-blade axial flow fan, this study applies \"Internet of Things\" (IoT) devices to establish and implement a wireless image transmission of axial flow fan blades. The experimental results show that direct images are successfully transmitted to the control terminal through Wi-Fi, which solves the technical problem encountered in similar studies and reduces the difficulty and cost of the experiment.","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"11 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":"123819866","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/ECICE50847.2020.9301922
Kuen-Chuan Lin, Chin-Jou Kuo, Ming-Fa Chen, Lung-Chieh Chen, BorShiunn Lee
A CMOS compatible thermopile infrared sensor is fabricated with large sensing array (64X64) and small pixel size (70μm pitch). The design and simulation of the sensor confirms a wide temperature sensing range (up to 1200°C), which is appropriate for temperature detection in industrial manufacturing and human body. To improve the sensing performance, an innovative pixel structure is developed for increasing the infrared absorption, decreasing the thermal time constant, and improving the thermal isolation. The sensor is fixed for dead pixels and corrected by the NUC (non-uniformity correction) process to improve the thermal image quality. The procedure for temperature calibration between blackbody target and sensor output voltage is also described. The test results show that this newly developed thermopile infrared sensor has temperature measuring error smaller than 3%.
{"title":"CMOS Compatible Thermopile Infrared Sensor with 64X64 Array","authors":"Kuen-Chuan Lin, Chin-Jou Kuo, Ming-Fa Chen, Lung-Chieh Chen, BorShiunn Lee","doi":"10.1109/ECICE50847.2020.9301922","DOIUrl":"https://doi.org/10.1109/ECICE50847.2020.9301922","url":null,"abstract":"A CMOS compatible thermopile infrared sensor is fabricated with large sensing array (64X64) and small pixel size (70μm pitch). The design and simulation of the sensor confirms a wide temperature sensing range (up to 1200°C), which is appropriate for temperature detection in industrial manufacturing and human body. To improve the sensing performance, an innovative pixel structure is developed for increasing the infrared absorption, decreasing the thermal time constant, and improving the thermal isolation. The sensor is fixed for dead pixels and corrected by the NUC (non-uniformity correction) process to improve the thermal image quality. The procedure for temperature calibration between blackbody target and sensor output voltage is also described. The test results show that this newly developed thermopile infrared sensor has temperature measuring error smaller than 3%.","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"28 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":"126940260","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/ECICE50847.2020.9301936
W. W. Hsu, Wei-Siang Hong, R. Hu, Hao-Hsun Wang, Jun-Yan Zhao
Flag of convenience (FOC) vessels is a common practice in which vessel owners register their ship in another country other than the ship owners. This policy creates difficulties in enforcing regulations from the owners company. Mainly, FOC vessels are usually a part of the dark fleet. These vessels are typically invisible to the authorities because they are registered abroad and create problems in management. In fisheries, illegal, unreported, and unregulated (IUU) activities often use FOC vessels as cover. Typically, the country of origin is unable to track vessels registered as FOCs. Thus third-party information must be acquired to detect FOC interactions with domestic vessels. In this research, with the Global Fishing Watch providing information of FOCs and along with our data aggregation techniques, methods are developed to detect and monitor FOC vessels conducting activities with domestic vessels and enforce laws to prevent IUU actions.
{"title":"A Framework to Learn Behaviours of Flag of Convenience Fishing Vessel Activities","authors":"W. W. Hsu, Wei-Siang Hong, R. Hu, Hao-Hsun Wang, Jun-Yan Zhao","doi":"10.1109/ECICE50847.2020.9301936","DOIUrl":"https://doi.org/10.1109/ECICE50847.2020.9301936","url":null,"abstract":"Flag of convenience (FOC) vessels is a common practice in which vessel owners register their ship in another country other than the ship owners. This policy creates difficulties in enforcing regulations from the owners company. Mainly, FOC vessels are usually a part of the dark fleet. These vessels are typically invisible to the authorities because they are registered abroad and create problems in management. In fisheries, illegal, unreported, and unregulated (IUU) activities often use FOC vessels as cover. Typically, the country of origin is unable to track vessels registered as FOCs. Thus third-party information must be acquired to detect FOC interactions with domestic vessels. In this research, with the Global Fishing Watch providing information of FOCs and along with our data aggregation techniques, methods are developed to detect and monitor FOC vessels conducting activities with domestic vessels and enforce laws to prevent IUU actions.","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"99 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":"128006632","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/ECICE50847.2020.9301972
Yuying Liang, You-Gang Chen
Recognition of radar emitter signals is important in radar reconnaissance systems of modern warfare. Recognizing radar-emitted signal is challenged due to the complexity of electromagnetic signals. Thus, this paper presents a new approach to recognize the radar modulation type of constant pulse repetition interval (PRI) in dense electromagnetic environments. In the presence of missing pulses, a constant PRI type recognition scheme (CPTRS) is proposed, too. The selected features exploit the difference and the variation information of pulse trains to describe inter-pulse intervals. The proposed CPTRS identifies a pulse train with randomly distributed missing pulses.
{"title":"Recognition of Radar Modulation Type Using Inter-Pulse Data in Complex Electromagnetic Environment","authors":"Yuying Liang, You-Gang Chen","doi":"10.1109/ECICE50847.2020.9301972","DOIUrl":"https://doi.org/10.1109/ECICE50847.2020.9301972","url":null,"abstract":"Recognition of radar emitter signals is important in radar reconnaissance systems of modern warfare. Recognizing radar-emitted signal is challenged due to the complexity of electromagnetic signals. Thus, this paper presents a new approach to recognize the radar modulation type of constant pulse repetition interval (PRI) in dense electromagnetic environments. In the presence of missing pulses, a constant PRI type recognition scheme (CPTRS) is proposed, too. The selected features exploit the difference and the variation information of pulse trains to describe inter-pulse intervals. The proposed CPTRS identifies a pulse train with randomly distributed missing pulses.","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"286 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":"131500839","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/ECICE50847.2020.9301917
Hao-Yu Lu, K. Sun
COVID-19 brings human catastrophe. Everyone worries about public sanitation. As the disease is highly contagious, it has not only affected delivery services, but also numerous companies, shops, and schools to shut down temporarily. It has even generated a great depression in the economy from a state of panic. However, Taiwan has been effective in its fight against the pandemic. Taiwan’s residents are wearing masks, cleaning their hands with alcohol-based sanitizers, and promoting the avoidance of crowded places. Under the situation, we developed the idea of constructing an artificial intelligence system to prevent COVID-19 spreading in schools. In the system, we combined a roll-call system based on facial recognition using a convolutional neural network with a GPS, an infrared thermal imager, and personal medical and travel records. Thus, a comprehensive system was constructed to help fight the disease in schools. It will not only be able to be applied in schools but also in numerous other places with Internet connected devices. The system would even be useful in the event of similar disease outbreaks against which we apply the proposed system in the fight against them.
{"title":"Classroom System with Intelligent Epidemic Prevention of COVID-19","authors":"Hao-Yu Lu, K. Sun","doi":"10.1109/ECICE50847.2020.9301917","DOIUrl":"https://doi.org/10.1109/ECICE50847.2020.9301917","url":null,"abstract":"COVID-19 brings human catastrophe. Everyone worries about public sanitation. As the disease is highly contagious, it has not only affected delivery services, but also numerous companies, shops, and schools to shut down temporarily. It has even generated a great depression in the economy from a state of panic. However, Taiwan has been effective in its fight against the pandemic. Taiwan’s residents are wearing masks, cleaning their hands with alcohol-based sanitizers, and promoting the avoidance of crowded places. Under the situation, we developed the idea of constructing an artificial intelligence system to prevent COVID-19 spreading in schools. In the system, we combined a roll-call system based on facial recognition using a convolutional neural network with a GPS, an infrared thermal imager, and personal medical and travel records. Thus, a comprehensive system was constructed to help fight the disease in schools. It will not only be able to be applied in schools but also in numerous other places with Internet connected devices. The system would even be useful in the event of similar disease outbreaks against which we apply the proposed system in the fight against them.","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"102 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":"131744889","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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