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/ECICE50847.2020.9301913
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/ecice50847.2020.9301924
A. Domingo, Annika Kienzlen, Ben-Fong Yu, Bin-Man Ju, BorShiunn Lee, C. Tsai, Carlos Oppus, Celia Xiao, Cheng-Yan Siao, Cheng-Yuan Huang, C. Kao, Chih-Wei Chang, Chi-Yong Wang, Chung-Yang Sue, Chun-Te Ho, Daniella Brovkina, Donthu Tejakumar, Eyhab Al-Masri, Gaochao Xu
C C. H. Tsai 290 C. Y. Nian 85 Carlos Oppus 152 Celia Xiao 44, 205 Cen-Fang Jian 267 Chang-Chia Chuan 140 Chao-Yang Lee 294 Chau-Chung Song 187 Che-Cheng Chang 403 Che-Kai Yeh 144 Chen-Che Lee 133, 149 Cheng Yu Ding 388 Cheng-Hsiung Chen 297 Cheng-Ling Huang 403 Cheng-Ting Hsu 294 Cheng-Xuan Wu 213 Cheng-Yan Siao 160, 171, 366, 399 Cheng-Yuan Huang 220 Chia-En Yang 243 Chia-Hsing Chen 136 Chia-Hung Liao 326 Chia-Jung Chang 9 Chiang Lee 322 Chieh-Ling Hsiao 144 Chien-Cheng Lo 85 Chien-Chi Kao 36, 254 Chien-Hsu Chen 191 Chien-Hung Wu 121 Chih-En Kuo 13 Chih-Fang Huang 220 Chih-Hsien Lai 25, 353 Chih-Lun Wang 187 Chih-Ming Wu 44, 205 Chih-Wei Chang 36, 254 Chih-Wei Wu 199 Chi-Jun Lin 385 Ching-Hsi Tseng 223 Ching-Hsiang Yang 363 Ching-Kun Chen 13 Ching-Min Lee 72 Ching-Po Cho 36 Ching-Ying Yeh 363 Chin-Jou Kuo 102 Chi-Yong Wang 396 Christos Douligeris 89 Chung-Yang Sue 118, 144 Chung-Yen Su 216 Chun-Te Ho 79
蔡正辉290年长云85 Carlos Oppus 152肖振华44,205简建芳267川昌嘉140李朝阳294宋祖忠187张志正403叶志恺144李振哲133,149丁宇388陈正雄297黄正玲403徐正庭294吴正宣213萧正彦160,171,366，399黄正元220杨家恩243陈家兴136廖家鸿326张家荣9李江322肖洁玲144罗建成85高建智36,254陈建旭191吴建鸿121郭志恩13黄志芳220赖志贤25,353王志伦187吴志明44,205张志伟36，254吴志伟199林志军385曾庆熙223杨庆祥363陈庆坤13李庆敏72赵庆宝36叶庆英363郭钦尧102王志勇396杜力里吉斯89苏重洋11,144苏重颜216何俊德79
{"title":"ECICE 2020 Index","authors":"A. Domingo, Annika Kienzlen, Ben-Fong Yu, Bin-Man Ju, BorShiunn Lee, C. Tsai, Carlos Oppus, Celia Xiao, Cheng-Yan Siao, Cheng-Yuan Huang, C. Kao, Chih-Wei Chang, Chi-Yong Wang, Chung-Yang Sue, Chun-Te Ho, Daniella Brovkina, Donthu Tejakumar, Eyhab Al-Masri, Gaochao Xu","doi":"10.1109/ecice50847.2020.9301924","DOIUrl":"https://doi.org/10.1109/ecice50847.2020.9301924","url":null,"abstract":"C C. H. Tsai 290 C. Y. Nian 85 Carlos Oppus 152 Celia Xiao 44, 205 Cen-Fang Jian 267 Chang-Chia Chuan 140 Chao-Yang Lee 294 Chau-Chung Song 187 Che-Cheng Chang 403 Che-Kai Yeh 144 Chen-Che Lee 133, 149 Cheng Yu Ding 388 Cheng-Hsiung Chen 297 Cheng-Ling Huang 403 Cheng-Ting Hsu 294 Cheng-Xuan Wu 213 Cheng-Yan Siao 160, 171, 366, 399 Cheng-Yuan Huang 220 Chia-En Yang 243 Chia-Hsing Chen 136 Chia-Hung Liao 326 Chia-Jung Chang 9 Chiang Lee 322 Chieh-Ling Hsiao 144 Chien-Cheng Lo 85 Chien-Chi Kao 36, 254 Chien-Hsu Chen 191 Chien-Hung Wu 121 Chih-En Kuo 13 Chih-Fang Huang 220 Chih-Hsien Lai 25, 353 Chih-Lun Wang 187 Chih-Ming Wu 44, 205 Chih-Wei Chang 36, 254 Chih-Wei Wu 199 Chi-Jun Lin 385 Ching-Hsi Tseng 223 Ching-Hsiang Yang 363 Ching-Kun Chen 13 Ching-Min Lee 72 Ching-Po Cho 36 Ching-Ying Yeh 363 Chin-Jou Kuo 102 Chi-Yong Wang 396 Christos Douligeris 89 Chung-Yang Sue 118, 144 Chung-Yen Su 216 Chun-Te Ho 79","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"111 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":"122775897","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/ECICE50847.2020.9301955
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/ECICE50847.2020.9301982
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}
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/ECICE50847.2020.9302000
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/ECICE50847.2020.9301997
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/ECICE50847.2020.9302021
Jui-Hung Liu, Yu-Sheng Lu, Yan Yu
The purpose of Industry 4.0 is to make the automation for industry and the current trends of technological innovations to use or produce equipment with IT technologies. This research uses AutomationML language as the main structure of Asset Administration Shell (AAS), which refers to the relevant specifications and standards of OPC to build and combine OPC UA (Open Process Control Unified Architecture) to realizes the information and communication layer in the six functions of RAMI4.0.
工业4.0的目的是使工业自动化和当前的技术创新趋势使用或生产具有IT技术的设备。本研究采用AutomationML语言作为资产管理外壳(Asset Administration Shell, AAS)的主体结构，参考OPC的相关规范和标准，构建并结合OPC UA (Open Process Control Unified Architecture，开放过程控制统一架构)，实现RAMI4.0六大功能中的信息和通信层。
{"title":"Common Management Technology of Automation Equipment in Industry 4.0","authors":"Jui-Hung Liu, Yu-Sheng Lu, Yan Yu","doi":"10.1109/ECICE50847.2020.9302021","DOIUrl":"https://doi.org/10.1109/ECICE50847.2020.9302021","url":null,"abstract":"The purpose of Industry 4.0 is to make the automation for industry and the current trends of technological innovations to use or produce equipment with IT technologies. This research uses AutomationML language as the main structure of Asset Administration Shell (AAS), which refers to the relevant specifications and standards of OPC to build and combine OPC UA (Open Process Control Unified Architecture) to realizes the information and communication layer in the six functions of RAMI4.0.","PeriodicalId":130143,"journal":{"name":"2020 IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"153 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":"114519102","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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