Pub Date : 2020-10-23DOI: 10.1109/ECICE50847.2020.9301955
Tse-Yu Chen, Ming-Bao Huang, Han-Pang Huang
To improve the life of hand-impaired people, we proposed a comprehensive design of a prosthetic hand. The design process includes the hardware design, EMG signal extraction and recognition, and a practical IoT-integrated controlling strategy, all of which secure the consistency and accuracy of the designated motions of the prosthetic hand. Eventually, the new strategy reduces the error rate and provides a more practical, thoughtful experience for the people in need.
{"title":"Comprehensive Design of Prosthetic Hand with Practical and Reliable Control","authors":"Tse-Yu Chen, Ming-Bao Huang, Han-Pang Huang","doi":"10.1109/ECICE50847.2020.9301955","DOIUrl":"https://doi.org/10.1109/ECICE50847.2020.9301955","url":null,"abstract":"To improve the life of hand-impaired people, we proposed a comprehensive design of a prosthetic hand. The design process includes the hardware design, EMG signal extraction and recognition, and a practical IoT-integrated controlling strategy, all of which secure the consistency and accuracy of the designated motions of the prosthetic hand. Eventually, the new strategy reduces the error rate and provides a more practical, thoughtful experience for the people in need.","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"44 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":"122826160","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/ECICE50847.2020.9301984
Jian Gao, W. Rong, Ye Zhang, Lefeng Wang, Lining Sun
This paper presents a semi-automated micro 3D printing system for manufacturing magnetic-driven micro soft robots. Printing materials are placed in separate printing needles, which can be quickly filled and replaced during the printing process. The operator monitors the printing process through microscopes and digital cameras and modifies printing parameters at any time to improve the stability of the printing process. Each hardware device is modularized and abstracted in the software by the order command sequence that executes the kernel according to the pre-edited script. The operator specifies and modifies the action sequence and time of each device easily and quickly during the 3D printing process. A variety of materials for magnetic-driven microrobots can be printed with this 3D printing system.
{"title":"Semi-automated 3D Printing System for Magnetic-driven Microrobots","authors":"Jian Gao, W. Rong, Ye Zhang, Lefeng Wang, Lining Sun","doi":"10.1109/ECICE50847.2020.9301984","DOIUrl":"https://doi.org/10.1109/ECICE50847.2020.9301984","url":null,"abstract":"This paper presents a semi-automated micro 3D printing system for manufacturing magnetic-driven micro soft robots. Printing materials are placed in separate printing needles, which can be quickly filled and replaced during the printing process. The operator monitors the printing process through microscopes and digital cameras and modifies printing parameters at any time to improve the stability of the printing process. Each hardware device is modularized and abstracted in the software by the order command sequence that executes the kernel according to the pre-edited script. The operator specifies and modifies the action sequence and time of each device easily and quickly during the 3D printing process. A variety of materials for magnetic-driven microrobots can be printed with this 3D printing system.","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"44 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":"116867616","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/ECICE50847.2020.9301913
Filippos Fotopoulos, Vangelis Malamas, Thomas K. Dasaklis, P. Kotzanikolaou, C. Douligeris
The healthcare sector is rapidly integrating the Internet of Medical Things (IoMT) technologies and adopting new practices regarding how patient data are collected, processed, and stored. Although various medical device authentication mechanisms have been proposed so far, most of them are power consuming, not cost-effective, or face scalability issues. We propose a novel IoMT authentication framework incorporating new concepts and technologies such as selfsovereign identity, zero-knowledge proofs, and blockchain technology to cover this gap. The architecture is built upon key elements of the healthcare ecosystem (hospital entities, device manufacturers, medical devices) and provides multientity IoMT authentication functionalities with revocation. We demonstrate the proposed architecture's efficiency through a proof of concept implementation based on Hyperledger Aries, Indy, and Ursa.
{"title":"A Blockchain-enabled Architecture for IoMT Device Authentication","authors":"Filippos Fotopoulos, Vangelis Malamas, Thomas K. Dasaklis, P. Kotzanikolaou, C. Douligeris","doi":"10.1109/ECICE50847.2020.9301913","DOIUrl":"https://doi.org/10.1109/ECICE50847.2020.9301913","url":null,"abstract":"The healthcare sector is rapidly integrating the Internet of Medical Things (IoMT) technologies and adopting new practices regarding how patient data are collected, processed, and stored. Although various medical device authentication mechanisms have been proposed so far, most of them are power consuming, not cost-effective, or face scalability issues. We propose a novel IoMT authentication framework incorporating new concepts and technologies such as selfsovereign identity, zero-knowledge proofs, and blockchain technology to cover this gap. The architecture is built upon key elements of the healthcare ecosystem (hospital entities, device manufacturers, medical devices) and provides multientity IoMT authentication functionalities with revocation. We demonstrate the proposed architecture's efficiency through a proof of concept implementation based on Hyperledger Aries, Indy, and Ursa.","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"38 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":"115206319","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/ECICE50847.2020.9301921
T. Lan, Huoming Zhang, Jian-Song Gao, Xuan-Jun Dai
The frame is not only the main body of the bicycle but also the bearing part of the bicycle. It bears the gravity of people and the weights of the bicycle. It must have enough reliability, durability, and lightness. According to the working conditions of the frame, the strength is checked from static strength and fatigue strength, and the length of each member of the bicycle frame and the angle between them are designed. The model is created by using PRO/E three-dimensional design software. The established three-dimensional model is imported into ANSYS finite element software, and then the static and modal simulation of the frame structure is established. Finally, the optimization of the frame is completed according to the analysis results.
{"title":"Design and Optimizated Simulation of Bicycle Frame Structure","authors":"T. Lan, Huoming Zhang, Jian-Song Gao, Xuan-Jun Dai","doi":"10.1109/ECICE50847.2020.9301921","DOIUrl":"https://doi.org/10.1109/ECICE50847.2020.9301921","url":null,"abstract":"The frame is not only the main body of the bicycle but also the bearing part of the bicycle. It bears the gravity of people and the weights of the bicycle. It must have enough reliability, durability, and lightness. According to the working conditions of the frame, the strength is checked from static strength and fatigue strength, and the length of each member of the bicycle frame and the angle between them are designed. The model is created by using PRO/E three-dimensional design software. The established three-dimensional model is imported into ANSYS finite element software, and then the static and modal simulation of the frame structure is established. Finally, the optimization of the frame is completed according to the analysis results.","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"8 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":"115720320","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/ECICE50847.2020.9301997
Sheng-Min Chiu, Feng-Jung Yang, Yi-Chung Chen, Chiang Lee
The link between air pollution and chronic kidney disease has been broadly examined by researchers. However, the relationship between the two remains unclear. Establishing this link has been complicated in part by the fact that air quality varies considerably from place to place. Therefore, this study designed a deep learning model that analyzed the relationship between air pollution data and chronic kidney disease. The experiments utilized real hospital data in Taiwan. Furthermore, we verified that the methods could help hospital teams in Taiwan better understand the association of air pollution and chronic kidney disease and also proposed subsequent and effective medical improvement plans.
{"title":"Deep learning for Etiology of Chronic Kidney Disease in Taiwan","authors":"Sheng-Min Chiu, Feng-Jung Yang, Yi-Chung Chen, Chiang Lee","doi":"10.1109/ECICE50847.2020.9301997","DOIUrl":"https://doi.org/10.1109/ECICE50847.2020.9301997","url":null,"abstract":"The link between air pollution and chronic kidney disease has been broadly examined by researchers. However, the relationship between the two remains unclear. Establishing this link has been complicated in part by the fact that air quality varies considerably from place to place. Therefore, this study designed a deep learning model that analyzed the relationship between air pollution data and chronic kidney disease. The experiments utilized real hospital data in Taiwan. Furthermore, we verified that the methods could help hospital teams in Taiwan better understand the association of air pollution and chronic kidney disease and also proposed subsequent and effective medical improvement plans.","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"301 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":"131795486","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/ECICE50847.2020.9302000
W. Lai, Yen-Chang Chen
This article introduces successive approximation register (SAR) analog to digital converter (ADC) for force sensor applications. The proposed paper is 24-bit SAR ADC that achieves exceptional quality while power dissipation of drop heavy in 24-bit SAR ADC. The proposed article uses method of machine learning with convolutional neural network post signal detection to calibration force sensor. The produced proposal of calibration is illustrated to be immune to the interference from the conditions and fulfills the exceptional resolution of SAR ADC on force experiments. Enhanced accuracy should obtain via the probability dependent estimation. All results of simulation depict enhanced accuracy even in a noisy circumstance.
{"title":"Design of SAR ADC with DAC for High-Performance Force Sensing Detector","authors":"W. Lai, Yen-Chang Chen","doi":"10.1109/ECICE50847.2020.9302000","DOIUrl":"https://doi.org/10.1109/ECICE50847.2020.9302000","url":null,"abstract":"This article introduces successive approximation register (SAR) analog to digital converter (ADC) for force sensor applications. The proposed paper is 24-bit SAR ADC that achieves exceptional quality while power dissipation of drop heavy in 24-bit SAR ADC. The proposed article uses method of machine learning with convolutional neural network post signal detection to calibration force sensor. The produced proposal of calibration is illustrated to be immune to the interference from the conditions and fulfills the exceptional resolution of SAR ADC on force experiments. Enhanced accuracy should obtain via the probability dependent estimation. All results of simulation depict enhanced accuracy even in a noisy circumstance.","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"460 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":"132935402","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/ECICE50847.2020.9302013
Satvik Dasari
According to the NHTSA, an average of 384 fatalities occur annually in the United States due to drowning while driving. The California wildfires in 2017 caused a property loss of $13 billion, 46 lives, and injuries to hundreds more. Most of the current alerting mechanisms are expensive and deficient in features for detecting floods at road crossings, wildfires, and air quality. The current fire alerting systems cost thousands of dollars, but they are not multi-purpose and compatible with smart city infrastructure. Also, the current flood alerting systems cost tens of thousands of dollars, are radio frequency-based, and require large antennas, but only provide a limited range. This paper proposes an innovative system, Cerberus, to provide early warnings for fires, floods, and air quality using an IoT device, sensors, cloud, and mobile technologies. The solution provides a Red-Yellow-Green light system for local alerts and a mobile app to alert users about unsafe water levels, fire, and air quality. All the data collected by Cerberus is stored in the cloud and used for other types of alerts such as voice calls, text alerts, and emails. The Cerberus warning system is low-cost, accurate, easy to maintain, and scalable to thousands of locations. The warning system is also integrated with an analytics platform that shows trends and historical data. The prototype was validated in the field using real data. The results show that Cerberus is a viable solution for providing accurate and reliable alerts for floods, wildfires, and air quality.
{"title":"Cerberus: A Novel Alerting System for Flood, Fire, and Air Quality","authors":"Satvik Dasari","doi":"10.1109/ECICE50847.2020.9302013","DOIUrl":"https://doi.org/10.1109/ECICE50847.2020.9302013","url":null,"abstract":"According to the NHTSA, an average of 384 fatalities occur annually in the United States due to drowning while driving. The California wildfires in 2017 caused a property loss of $13 billion, 46 lives, and injuries to hundreds more. Most of the current alerting mechanisms are expensive and deficient in features for detecting floods at road crossings, wildfires, and air quality. The current fire alerting systems cost thousands of dollars, but they are not multi-purpose and compatible with smart city infrastructure. Also, the current flood alerting systems cost tens of thousands of dollars, are radio frequency-based, and require large antennas, but only provide a limited range. This paper proposes an innovative system, Cerberus, to provide early warnings for fires, floods, and air quality using an IoT device, sensors, cloud, and mobile technologies. The solution provides a Red-Yellow-Green light system for local alerts and a mobile app to alert users about unsafe water levels, fire, and air quality. All the data collected by Cerberus is stored in the cloud and used for other types of alerts such as voice calls, text alerts, and emails. The Cerberus warning system is low-cost, accurate, easy to maintain, and scalable to thousands of locations. The warning system is also integrated with an analytics platform that shows trends and historical data. The prototype was validated in the field using real data. The results show that Cerberus is a viable solution for providing accurate and reliable alerts for floods, wildfires, and air quality.","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"49 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":"127071709","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/ECICE50847.2020.9301982
Hung-Yi Chu, L. Gau, Min-Shan Liu, K. Tai, Wen-Chin Tsai
This study designed and examined counter-current water flow with manual and automatic control in a swimming pool, which improves the learning effectiveness for people with physical and mental disorders. 29 elementary school students with autism and three students with Down syndrome participated in the experiment. Their functional fitness, self-care ability, and motor skills were improved after swimming. The device of counter and upward current provided a safer, more interesting, and effective learning environment than a traditional pool.
{"title":"Fluid Mechanics in Counter and Upward Water Flow Improving Swimming Learning Effectiveness for Physical and Mental Disorders","authors":"Hung-Yi Chu, L. Gau, Min-Shan Liu, K. Tai, Wen-Chin Tsai","doi":"10.1109/ECICE50847.2020.9301982","DOIUrl":"https://doi.org/10.1109/ECICE50847.2020.9301982","url":null,"abstract":"This study designed and examined counter-current water flow with manual and automatic control in a swimming pool, which improves the learning effectiveness for people with physical and mental disorders. 29 elementary school students with autism and three students with Down syndrome participated in the experiment. Their functional fitness, self-care ability, and motor skills were improved after swimming. The device of counter and upward current provided a safer, more interesting, and effective learning environment than a traditional pool.","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"23 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":"126266728","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}
This research develops an automated multi-angle identification and gripping path planning method of a robotic arm. First, we integrate a 3D camera to obtain the image, position, and distance of the workpiece and then send the image to the remote host via a network connection to identify the workpiece and calculation path with a deep learning algorithm. Through the process, the best path and the angle of arm movement are found. The experimental results show that the system continuously reads real-time images from the 3D camera and performs the calculations to correct the moving path when the arm moves. The overall operation is very smooth, and the workpiece can be accurately clamped.
{"title":"3D Cameras and Algorithms for Multi-Angle Gripping and Control of Robotic Arm","authors":"Ching-Ying Yeh, Zheng-Han Shi, Jieh-Tsyr Chuang, Kai-Hsun Hsu, Shang-Wei Liu, Ruo-Wei Wu, Ching-Hsiang Yang, Nian-Ze Hu, Jeng-Dao Lee","doi":"10.1109/ECICE50847.2020.9301931","DOIUrl":"https://doi.org/10.1109/ECICE50847.2020.9301931","url":null,"abstract":"This research develops an automated multi-angle identification and gripping path planning method of a robotic arm. First, we integrate a 3D camera to obtain the image, position, and distance of the workpiece and then send the image to the remote host via a network connection to identify the workpiece and calculation path with a deep learning algorithm. Through the process, the best path and the angle of arm movement are found. The experimental results show that the system continuously reads real-time images from the 3D camera and performs the calculations to correct the moving path when the arm moves. The overall operation is very smooth, and the workpiece can be accurately clamped.","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"50 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114135781","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/ECICE50847.2020.9301943
Yu-Lin Li, Jehn-Ruey Jiang
This study proposes an anomaly detection method called wavelet autoencoder anomaly detection (WAAD) for non-stationary and non-periodic univariate time series. The method first applies discrete wavelet transform to time series of a sliding time window to obtain wavelet transform coefficients. It then uses an autoencoder to encode and decode (reconstruct) these coefficients. WAAD calculates the reconstruction error for every time window. An anomaly is assumed to occur for specific conditions of the errors. By five NAB datasets, the performance of WAAD is evaluated and compared with other methods to show its superiority.
{"title":"Anomaly Detection for Non-Stationary and Non-Periodic Univariate Time Series","authors":"Yu-Lin Li, Jehn-Ruey Jiang","doi":"10.1109/ECICE50847.2020.9301943","DOIUrl":"https://doi.org/10.1109/ECICE50847.2020.9301943","url":null,"abstract":"This study proposes an anomaly detection method called wavelet autoencoder anomaly detection (WAAD) for non-stationary and non-periodic univariate time series. The method first applies discrete wavelet transform to time series of a sliding time window to obtain wavelet transform coefficients. It then uses an autoencoder to encode and decode (reconstruct) these coefficients. WAAD calculates the reconstruction error for every time window. An anomaly is assumed to occur for specific conditions of the errors. By five NAB datasets, the performance of WAAD is evaluated and compared with other methods to show its superiority.","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":"129617956","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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