Pub Date : 2021-01-04DOI: 10.1109/IMCOM51814.2021.9377402
Changhoon Song, Sukhan Lee
Accurate prediction of the Remaining-Useful-Life (RUL) of a battery, sufficiently long in advance from the End-of-Life (EOL), is essential for the safety and maintenance of its many applications. The problem is that such a long-term prediction of RUL suffers from the growing uncertainty in predicting the State-of-Health (SOH) of a battery as the terms or cycles of prediction increases. Conventional approaches are yet to address an effective solution to this problem. This paper presents an approach to the accurate long-term prediction of battery RUL based on the sliding window combined with sparse sampling. The proposed approach attains the accuracy by defining the window of a limited number of cycles at which SOHs are predicted single-shot and sliding the window further into the future to consecutively predict SOHs for the subsequent window of cycles. Furthermore, sparse sampling is to be incorporated into the selection of an optimal size of prediction window in such a way as to maximize the accuracy involved in a long-term prediction. A Stacked-LSTM network is adopted to carry out the prediction of a window of SOH cycles. Experiments are conducted based on the Center for Advanced Life Cycle Engineering (CALCE) dataset. The result verifies that the proposed approach tops the conventional approaches in terms of the accuracy of long-term RUL prediction.
{"title":"Accurate RUL Prediction Based on Sliding Window with Sparse Sampling","authors":"Changhoon Song, Sukhan Lee","doi":"10.1109/IMCOM51814.2021.9377402","DOIUrl":"https://doi.org/10.1109/IMCOM51814.2021.9377402","url":null,"abstract":"Accurate prediction of the Remaining-Useful-Life (RUL) of a battery, sufficiently long in advance from the End-of-Life (EOL), is essential for the safety and maintenance of its many applications. The problem is that such a long-term prediction of RUL suffers from the growing uncertainty in predicting the State-of-Health (SOH) of a battery as the terms or cycles of prediction increases. Conventional approaches are yet to address an effective solution to this problem. This paper presents an approach to the accurate long-term prediction of battery RUL based on the sliding window combined with sparse sampling. The proposed approach attains the accuracy by defining the window of a limited number of cycles at which SOHs are predicted single-shot and sliding the window further into the future to consecutively predict SOHs for the subsequent window of cycles. Furthermore, sparse sampling is to be incorporated into the selection of an optimal size of prediction window in such a way as to maximize the accuracy involved in a long-term prediction. A Stacked-LSTM network is adopted to carry out the prediction of a window of SOH cycles. Experiments are conducted based on the Center for Advanced Life Cycle Engineering (CALCE) dataset. The result verifies that the proposed approach tops the conventional approaches in terms of the accuracy of long-term RUL prediction.","PeriodicalId":275121,"journal":{"name":"2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121128791","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 : 2021-01-04DOI: 10.1109/IMCOM51814.2021.9377324
Do Yeon Kim, J. Moon, J. Jeon
The number of electronic control units employed in automobiles increases as the functions of automobiles diversify in response to demands for improved convenience and stability. Furthermore, the complexity and size of software loaded on controllers are increasing. As the number and types of software to be reprogrammed increase, the time to reprogram a vehicle also increases. In this paper, we propose an efficient method to store software in flash memory using the multicore function when reprogramming the electronic control unit. This method can efficiently transfer data from RAM to flash memory using two cores alternately. As part of this study, an experiment was performed using an embedded system, and the data transfer time was compared with that required when storing software in flash memory using only one core. The results of this comparison demonstrate that the proposed method can optimize memory usage during reprogramming.
{"title":"Writing Reprogramming Data from RAM to Flash Memory Using Multicore Electronic Control Units","authors":"Do Yeon Kim, J. Moon, J. Jeon","doi":"10.1109/IMCOM51814.2021.9377324","DOIUrl":"https://doi.org/10.1109/IMCOM51814.2021.9377324","url":null,"abstract":"The number of electronic control units employed in automobiles increases as the functions of automobiles diversify in response to demands for improved convenience and stability. Furthermore, the complexity and size of software loaded on controllers are increasing. As the number and types of software to be reprogrammed increase, the time to reprogram a vehicle also increases. In this paper, we propose an efficient method to store software in flash memory using the multicore function when reprogramming the electronic control unit. This method can efficiently transfer data from RAM to flash memory using two cores alternately. As part of this study, an experiment was performed using an embedded system, and the data transfer time was compared with that required when storing software in flash memory using only one core. The results of this comparison demonstrate that the proposed method can optimize memory usage during reprogramming.","PeriodicalId":275121,"journal":{"name":"2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120898912","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 : 2021-01-04DOI: 10.1109/IMCOM51814.2021.9377412
Christian M. Choy, M. Co, Matthew J. Fogel, Clarke D. Garrioch, C. Leung, Ekaterina Martchenko
As we are living in a global environment, it is not unusual to have more than one languages or dialects used in a country. Examples include Canada in the Americas, Singapore in Asia, and Switzerland in Europe. With the initiatives of globalization, many people immigrate or live in a country other than their birthplace. As a result, different people in the same country may have different home language (i.e., first language). For instance, as a nation composed of a highly diverse language population, Canada provides a unique opportunity to study the factors causing certain languages (or families of language) to be lost over subsequent generations among allophones (i.e., people whose mother tongue is neither English or French). In this paper, we focus on census data analytics. Specifically, we analyze census microdata by exploring machine learning and data mining techniques-such as decision tree induction, random forest, and categorical naive Bayes-to study the influence of various social and economic factors on the probability that allophones adopt official languages as their language spoken at home. This study is a showcase where natural sciences and engineering (NSE) meet social sciences, in which NSE solutions (e.g., census data analytics) are applicable for the study of social science related phenomena (e.g., successful detection of shifts in home languages).
{"title":"Natural Sciences Meet Social Sciences: Census Data Analytics for Detecting Home Language Shifts","authors":"Christian M. Choy, M. Co, Matthew J. Fogel, Clarke D. Garrioch, C. Leung, Ekaterina Martchenko","doi":"10.1109/IMCOM51814.2021.9377412","DOIUrl":"https://doi.org/10.1109/IMCOM51814.2021.9377412","url":null,"abstract":"As we are living in a global environment, it is not unusual to have more than one languages or dialects used in a country. Examples include Canada in the Americas, Singapore in Asia, and Switzerland in Europe. With the initiatives of globalization, many people immigrate or live in a country other than their birthplace. As a result, different people in the same country may have different home language (i.e., first language). For instance, as a nation composed of a highly diverse language population, Canada provides a unique opportunity to study the factors causing certain languages (or families of language) to be lost over subsequent generations among allophones (i.e., people whose mother tongue is neither English or French). In this paper, we focus on census data analytics. Specifically, we analyze census microdata by exploring machine learning and data mining techniques-such as decision tree induction, random forest, and categorical naive Bayes-to study the influence of various social and economic factors on the probability that allophones adopt official languages as their language spoken at home. This study is a showcase where natural sciences and engineering (NSE) meet social sciences, in which NSE solutions (e.g., census data analytics) are applicable for the study of social science related phenomena (e.g., successful detection of shifts in home languages).","PeriodicalId":275121,"journal":{"name":"2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131154362","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 : 2021-01-04DOI: 10.1109/IMCOM51814.2021.9377385
Toyohide Watanabe
COVID-19 made the performance of face-to-face course difficult and enforced that online course can take an important role in place of the face-to-face course. The online course is not necessarily a new type of course. In the universities, MOOC (Massive Open Online Course), and Moodle (learning management system), etc. have been already in service. In the school education, it is not sure that all lectures can be performed by the online course without any problems. The environmental improvement, the lecture preparation, etc. are not only barriers, but also the ages and levels of pupils, the kinds of schools, the subjects and contents of lectures, etc. are not always unified in the curriculum criterion: this fact indicates that the same procedure, the same framework and so on cannot be applicable uniformly. In this paper, we analyze the features of face-to-face course with respect to the goal and policy of school education, and then discuss the adaptability in the online course. In this case, we compare the video conference system ZOOM, the groupware system Teams with “together” mode, and our round-table-based interaction interface, and make the functionality and mechanism clear as the online course support system with interaction interface. Our round-table-based interaction interface was developed experimentally by our research project team about 12 years ago.
新型冠状病毒感染症(COVID-19)疫情使面授课程的效果变得困难，迫使网络课程取代面授课程发挥重要作用。网络课程不一定是一种新型的课程。在高校，MOOC (Massive Open Online Course)、Moodle (learning management system)等已经投入使用。在学校教育中，不能保证所有的课程都可以通过网络课程毫无问题地进行。环境的改善、讲课准备等不仅是障碍，而且学生的年龄和水平、学校的种类、讲课的科目和内容等在课程标准中并不总是统一的，这表明同样的程序、同样的框架等等不可能统一适用。本文从学校教育的目标和方针出发，分析了面授课程的特点，探讨了面授课程在网络教学中的适应性。在本案例中，我们对比了视频会议系统ZOOM、群件系统Teams的“聚在一起”模式以及我们基于圆桌的交互界面，明确了其作为具有交互界面的在线课程支持系统的功能和机制。我们基于圆桌的交互界面是12年前由我们的研究团队实验开发的。
{"title":"Viewpoint of Class Subject and Classroom Space on Face-to-face Course and Online Course","authors":"Toyohide Watanabe","doi":"10.1109/IMCOM51814.2021.9377385","DOIUrl":"https://doi.org/10.1109/IMCOM51814.2021.9377385","url":null,"abstract":"COVID-19 made the performance of face-to-face course difficult and enforced that online course can take an important role in place of the face-to-face course. The online course is not necessarily a new type of course. In the universities, MOOC (Massive Open Online Course), and Moodle (learning management system), etc. have been already in service. In the school education, it is not sure that all lectures can be performed by the online course without any problems. The environmental improvement, the lecture preparation, etc. are not only barriers, but also the ages and levels of pupils, the kinds of schools, the subjects and contents of lectures, etc. are not always unified in the curriculum criterion: this fact indicates that the same procedure, the same framework and so on cannot be applicable uniformly. In this paper, we analyze the features of face-to-face course with respect to the goal and policy of school education, and then discuss the adaptability in the online course. In this case, we compare the video conference system ZOOM, the groupware system Teams with “together” mode, and our round-table-based interaction interface, and make the functionality and mechanism clear as the online course support system with interaction interface. Our round-table-based interaction interface was developed experimentally by our research project team about 12 years ago.","PeriodicalId":275121,"journal":{"name":"2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128880954","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 : 2021-01-04DOI: 10.1109/IMCOM51814.2021.9377375
S. Kratov, A. Podsadnikov
The article provides the overview of software and services for information support of distance learning - e-learning systems, knowledge test control and video conferencing. The advantages of openness of software code and modularity of their structure are shown. The pros and cons of the installed software and cloud services by subscription are discussed. The systems are compared on a number of criteria. Examples of their practical application are also described.
{"title":"The overview of software and information support services for distance learning","authors":"S. Kratov, A. Podsadnikov","doi":"10.1109/IMCOM51814.2021.9377375","DOIUrl":"https://doi.org/10.1109/IMCOM51814.2021.9377375","url":null,"abstract":"The article provides the overview of software and services for information support of distance learning - e-learning systems, knowledge test control and video conferencing. The advantages of openness of software code and modularity of their structure are shown. The pros and cons of the installed software and cloud services by subscription are discussed. The systems are compared on a number of criteria. Examples of their practical application are also described.","PeriodicalId":275121,"journal":{"name":"2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127660587","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 investigates how Internet users comment in response to rumor corrections posted on social media. The focus is specifically on the degree to which aggressive language is used. As the test cases for investigation, the research looks into two rumor corrections on YouTube. The rumors were set in the context of the riots and protests in Jakarta following the Indonesian presidential election in 2019. A total of 1,000 comments (500 comments from each of the two cases) was admitted for content analysis. In one case, anti-correction voice was dominant, highlighting the failure of the rumor correction to refute the rumor. In the other, pro-correction voice was dominant, indicating the success of the rumor correction. Aggressive language was widely used in the latter. Implications of the findings are highlighted.
{"title":"Analysis of User-Generated Comments on Rumor Correction YouTube Videos","authors":"Gilang Maulana Majid, Anjan Pal, Siska Premida Wardani, Snehasish Banerjee","doi":"10.1109/IMCOM51814.2021.9377408","DOIUrl":"https://doi.org/10.1109/IMCOM51814.2021.9377408","url":null,"abstract":"This research investigates how Internet users comment in response to rumor corrections posted on social media. The focus is specifically on the degree to which aggressive language is used. As the test cases for investigation, the research looks into two rumor corrections on YouTube. The rumors were set in the context of the riots and protests in Jakarta following the Indonesian presidential election in 2019. A total of 1,000 comments (500 comments from each of the two cases) was admitted for content analysis. In one case, anti-correction voice was dominant, highlighting the failure of the rumor correction to refute the rumor. In the other, pro-correction voice was dominant, indicating the success of the rumor correction. Aggressive language was widely used in the latter. Implications of the findings are highlighted.","PeriodicalId":275121,"journal":{"name":"2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121112123","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 : 2021-01-04DOI: 10.1109/IMCOM51814.2021.9377364
Siqian Yu, Taketoshi Ushiama
When users selecting products on e-commerce sites, they always use reviews to guide their purchasing decisions. However, if several reviews are posted below one product, it might become difficult for users to select products efficiently. In this study, we propose two methods that use natural language processing technology, such as Word2vec and TF-IDF, to help users judge the reliability of features described in reviews effectively and efficiently. One method uses word embeddings and another method uses sentence embeddings. Finally, we evaluate the results of the two methods and find that the sentence embeddings method seams have a better performance.
{"title":"Method for Product Selection Support Based on Reliability of Features in Reviews","authors":"Siqian Yu, Taketoshi Ushiama","doi":"10.1109/IMCOM51814.2021.9377364","DOIUrl":"https://doi.org/10.1109/IMCOM51814.2021.9377364","url":null,"abstract":"When users selecting products on e-commerce sites, they always use reviews to guide their purchasing decisions. However, if several reviews are posted below one product, it might become difficult for users to select products efficiently. In this study, we propose two methods that use natural language processing technology, such as Word2vec and TF-IDF, to help users judge the reliability of features described in reviews effectively and efficiently. One method uses word embeddings and another method uses sentence embeddings. Finally, we evaluate the results of the two methods and find that the sentence embeddings method seams have a better performance.","PeriodicalId":275121,"journal":{"name":"2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126637814","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 : 2021-01-04DOI: 10.1109/IMCOM51814.2021.9377372
H. Nguyen, The-Tien Nguyen, Cong Tran, Kim-Phuong Phung, Q. Nguyen
Visual Odometry (VO) plays an important role in autonomous navigation systems for vehicle localization. For traditional stereo visual odometry (SVO), we can estimate the rotation and translation of camera motion either simultaneously or separately where 3D information reconstructed from the stereo image is used as the input of the translation estimation. The accuracy of pose estimation is dependent on the uncertainty of 3D features as well as their portion used. This paper presents a novel translation estimation for essential matrix-based SVO to avoid the effectiveness of 3D feature uncertainty from stereo disparity. The rotation is extracted accurately from essential matrix of each pair of consecutive image frames on the left side; with a pre-estimated rotation matrix, the translation is rapidly and accurately estimated by solving a proposed linear closed-form only using 2D features as input with one-point RANSAC. The experimental results on the autonomous driving testing dataset (KITTI) indicate that the proposed approach enhances 20 % accuracy compared to traditional approaches in the same experimental scenario.
{"title":"A novel translation estimation for essential matrix based stereo visual odometry","authors":"H. Nguyen, The-Tien Nguyen, Cong Tran, Kim-Phuong Phung, Q. Nguyen","doi":"10.1109/IMCOM51814.2021.9377372","DOIUrl":"https://doi.org/10.1109/IMCOM51814.2021.9377372","url":null,"abstract":"Visual Odometry (VO) plays an important role in autonomous navigation systems for vehicle localization. For traditional stereo visual odometry (SVO), we can estimate the rotation and translation of camera motion either simultaneously or separately where 3D information reconstructed from the stereo image is used as the input of the translation estimation. The accuracy of pose estimation is dependent on the uncertainty of 3D features as well as their portion used. This paper presents a novel translation estimation for essential matrix-based SVO to avoid the effectiveness of 3D feature uncertainty from stereo disparity. The rotation is extracted accurately from essential matrix of each pair of consecutive image frames on the left side; with a pre-estimated rotation matrix, the translation is rapidly and accurately estimated by solving a proposed linear closed-form only using 2D features as input with one-point RANSAC. The experimental results on the autonomous driving testing dataset (KITTI) indicate that the proposed approach enhances 20 % accuracy compared to traditional approaches in the same experimental scenario.","PeriodicalId":275121,"journal":{"name":"2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125491618","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 : 2021-01-04DOI: 10.1109/IMCOM51814.2021.9377397
Gyeongbin Park, Dongyan Nan, Eunil Park, Ki Joon Kim, Jinyoung Han, A. P. D. Pobil
With the rapid development of s-commerce and CGI technology, the concept of “virtual influencer” has emerged and is rapidly growing in popularity in social media and network service (e.g., Instagram). This paper investigated the effects of the number and types of social actors in the contents of Instagram on users' reactions. To identify this, we collected the users' comments from the contents of the virtual influencers' accounts on Instagram and conducted sentiment analysis. The results showed that users tend to use more social words and 3rd-person pronouns in contents with multiple social actors including the virtual influencer than in contents with a virtual influencer. Moreover, when a virtual influencer is presented in the contents of social media with humans, users tend to use more positive words and anxious words than in the contents without humans. Based on these outcomes, several interesting issues are discussed below.
{"title":"Computers as Social Actors? Examining How Users Perceive and Interact with Virtual Influencers on Social Media","authors":"Gyeongbin Park, Dongyan Nan, Eunil Park, Ki Joon Kim, Jinyoung Han, A. P. D. Pobil","doi":"10.1109/IMCOM51814.2021.9377397","DOIUrl":"https://doi.org/10.1109/IMCOM51814.2021.9377397","url":null,"abstract":"With the rapid development of s-commerce and CGI technology, the concept of “virtual influencer” has emerged and is rapidly growing in popularity in social media and network service (e.g., Instagram). This paper investigated the effects of the number and types of social actors in the contents of Instagram on users' reactions. To identify this, we collected the users' comments from the contents of the virtual influencers' accounts on Instagram and conducted sentiment analysis. The results showed that users tend to use more social words and 3rd-person pronouns in contents with multiple social actors including the virtual influencer than in contents with a virtual influencer. Moreover, when a virtual influencer is presented in the contents of social media with humans, users tend to use more positive words and anxious words than in the contents without humans. Based on these outcomes, several interesting issues are discussed below.","PeriodicalId":275121,"journal":{"name":"2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128428210","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 : 2021-01-04DOI: 10.1109/IMCOM51814.2021.9377392
Ai Thao Nguyen Thi, T. K. Dang, D. T. Nguyen
Nowadays, biometric-based authentication systems are widely used. This fact has led to increased attacks on biometric data of users. Therefore, biometric template protection is sure to keep the attention of researchers for the security of the authentication systems. Many previous works proposed the biometric template protection schemes by transforming the original biometric data into a secure domain, or establishing a cryptographic key with the use of biometric data. The main purpose was that fulfill the all three requirements: cancelability, security, and performance as many as possible. In this paper, using random projection merged with fuzzy commitment, we will introduce a hybrid scheme of biometric template protection. We try to limit their own drawbacks and take full advantages of these techniques at the same time. In addition, an analysis of non-invertibility property will be exercised with regards to the use of random projection aiming at enhancing the security of the system while preserving the discriminability of the original biometric template.
{"title":"Non-Invertibility for Random Projection based Biometric Template Protection Scheme","authors":"Ai Thao Nguyen Thi, T. K. Dang, D. T. Nguyen","doi":"10.1109/IMCOM51814.2021.9377392","DOIUrl":"https://doi.org/10.1109/IMCOM51814.2021.9377392","url":null,"abstract":"Nowadays, biometric-based authentication systems are widely used. This fact has led to increased attacks on biometric data of users. Therefore, biometric template protection is sure to keep the attention of researchers for the security of the authentication systems. Many previous works proposed the biometric template protection schemes by transforming the original biometric data into a secure domain, or establishing a cryptographic key with the use of biometric data. The main purpose was that fulfill the all three requirements: cancelability, security, and performance as many as possible. In this paper, using random projection merged with fuzzy commitment, we will introduce a hybrid scheme of biometric template protection. We try to limit their own drawbacks and take full advantages of these techniques at the same time. In addition, an analysis of non-invertibility property will be exercised with regards to the use of random projection aiming at enhancing the security of the system while preserving the discriminability of the original biometric template.","PeriodicalId":275121,"journal":{"name":"2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM)","volume":"96 12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127994397","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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