Proceedings : Annual International Computer Software and Applications Conference. COMPSAC最新文献

{"title":"Activity Segmentation Using Wearable Sensors for DVT/PE Risk Detection.","authors":"Austin Gentry, William M Mongan, Brent Lee, Owen Montgomery, Kapil R Dandekar","doi":"10.1109/compsac.2019.10252","DOIUrl":"10.1109/compsac.2019.10252","url":null,"abstract":"<p><p>Using a wearable electromyography (EMG) and an accelerometer sensor, classification of subject activity state (<i>i.e</i>., walking, sitting, standing, or ankle circles) enables detection of prolonged \"negative\" activity states in which the calf muscles do not facilitate blood flow return via the deep veins of the leg. By employing machine learning classification on a multi-sensor wearable device, we are able to classify human subject state between \"positive\" and \"negative\" activities, and among each activity state, with greater than 95% accuracy. Some negative activity states cannot be accurately discriminated due to their similar presentation from an accelerometer (<i>i.e</i>., standing <i>vs</i>. sitting); however, it is desirable to separate these states to better inform the risk of developing a Deep Vein Thrombosis (DVT). Augmentation with a wearable EMG sensor improves separability of these activities by 30%.</p>","PeriodicalId":74502,"journal":{"name":"Proceedings : Annual International Computer Software and Applications Conference. COMPSAC","volume":"2019 ","pages":"477-483"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7884185/pdf/nihms-1669001.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"25374200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Using Interactive E-Books in Elementary School Origami Activities: Analysis of Learning Effect, Learning Motivation, and Cognitive Load","authors":"Wenjun Chu, Hong-Ren Chen","doi":"10.1109/COMPSAC.2018.10246","DOIUrl":"https://doi.org/10.1109/COMPSAC.2018.10246","url":null,"abstract":"Origami is not only a kind of lifelization game and art but also a kind of effective hand and brain skill training and learning activity. The origami learning activity can effectively cultivate students' ability to develop spatial visualization and can help elementary school students transform the graphic representation of the plane into the visualization ability of three-dimensional object of solid figure. The process of operating origami through tablet's interactive e-book can be used to train elementary school students' folding and unfolding ability, their concept for the thinking in three-dimensional space as well as the cognitive ability for shapes, so as to reduce their cognitive load. This research took the third grade elementary school students as the subjects, and applied the dynamic visual feedback process of origami animation and interactive e-book to conduct the teaching experiment. The research results are as follows: (1) The elementary school students who apply the e-book cooperative learning teaching have the significantly better origami learning effectiveness than those using the generally traditional cooperative learning teaching. (2) In origami learning activity, the elementary school students' learning motivation achieves the significant difference and the e-book cooperative learning teaching is superior to the generally traditional cooperative learning teaching in learning motivation. (3) The e-book cooperative learning teaching can make the elementary school students reduce their cognitive load during their learning of origami.","PeriodicalId":74502,"journal":{"name":"Proceedings : Annual International Computer Software and Applications Conference. COMPSAC","volume":"78 1","pages":"298-303"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74162009","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}

{"title":"Message from The Student Research Symposium Co-Chairs","authors":"Toyokazu Akiyama, Marian Lee","doi":"10.1109/COMPSAC.2018.00161","DOIUrl":"https://doi.org/10.1109/COMPSAC.2018.00161","url":null,"abstract":"","PeriodicalId":74502,"journal":{"name":"Proceedings : Annual International Computer Software and Applications Conference. COMPSAC","volume":"59 1","pages":"938"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77849382","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}

{"title":"A Multihop Broadcast Mechanism for Emergency Messages Dissemination in VANETs","authors":"Sizheng Li, Chuanhe Huang","doi":"10.1109/COMPSAC.2018.00160","DOIUrl":"https://doi.org/10.1109/COMPSAC.2018.00160","url":null,"abstract":"In Vehicular Ad Hoc Networks (VANETs), using multihop broadcast to achieve fast and reliable dissemination of event-driven emergency messages among vehicles has positive significance. Most existing solutions make relay selection by either senders or receivers. However, the former would fall into invalidation due to the unstable links, while the latter would generate extra delay. In this paper, we propose a new mechanism named MBM-EMD (i.e., multihop broadcast mechanism for emergency messages dissemination) to solve these problems. Our contributions are two-fold. i) We integrate multiple influencing factors such as vehicle density, relative movement, and channel quality into a new metric named ETGPH (i.e., the expected transmission gain per hop), and use it to select the optimal relays. ii) After acquiring the candidate set for further rebroadcast, the current sender firstly appoints an optimal relay from it to rebroadcast immediately. Other candidates will assist in forwarding according to our rules if this relay fails. The simulation results demonstrate the feasibility and effectiveness of the proposed solution.","PeriodicalId":74502,"journal":{"name":"Proceedings : Annual International Computer Software and Applications Conference. COMPSAC","volume":"10 1","pages":"932-937"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90463242","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}

{"title":"Message from the ADMNET 2018 Workshop Organizers","authors":"Takashi Yamanoue, Hiroki Kashiwazaki, Yong Jin, R. Gad","doi":"10.1109/COMPSAC.2018.10227","DOIUrl":"https://doi.org/10.1109/COMPSAC.2018.10227","url":null,"abstract":"","PeriodicalId":74502,"journal":{"name":"Proceedings : Annual International Computer Software and Applications Conference. COMPSAC","volume":"47 1","pages":"191-192"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73848445","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}

{"title":"Message from the Fast Abstract Co-chairs","authors":"H. Shahriar, H. Takakura, M. Takemoto, D. Towey","doi":"10.1109/COMPSAC.2018.00116","DOIUrl":"https://doi.org/10.1109/COMPSAC.2018.00116","url":null,"abstract":"","PeriodicalId":74502,"journal":{"name":"Proceedings : Annual International Computer Software and Applications Conference. COMPSAC","volume":"67 1","pages":"780"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77369133","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}

{"title":"A Cooperated Data Management Platform for Coronary Heart Disease Early Identification and Risk Warning Research","authors":"Peili Yang, H Zhao, Xuezhen Yin, Jian Ye, Lingfeng Yang, Jimin Liang","doi":"10.1109/COMPSAC.2018.10327","DOIUrl":"https://doi.org/10.1109/COMPSAC.2018.10327","url":null,"abstract":"Big data-driven technologies and deep learning approaches are being drawn much attention to Coronary Heart Disease(CHD) early identification and risk warning research. CHD is one of the common chronic diseases that threaten the health and life of people. Cohort study method and machine learning method are often used to identify to target the patients precisely. To the best of our knowledge, the literatures mostly focused on how to establish and optimize the identification and warning models or the cohort study, while overlooking the data management. To promote the early identification and risk warning research of CHD, we contribute a cooperated data management platform in regards to the big patient data and big CHD early identification model data. According to the characteristics of the model data, we propose the SMR(Samples-Model-Results) data chain conception to describe the relationship among the training data, model and the model evaluation result. The conceptual schema about CHD patient cohort and CHD early identification model are abstracted which are system-independent representations. To target the DBMS, system-dependent logical data schemas are designed based on the conceptual data model. The experiments about the efficiency of relational database and NoSQL database based solutions are conducted. To manage the CHD early identification model data effectively, we propose the model version to represent the relationship between the models considering the modeling lifecycle. The model tree is established and the query algorithms are designed to perform the lineage management of the CHD early identification models. The effective patient data visual exploration services, cohort study services and CHD early identification model selection, model comparison and model data visual exploration services are implemented for CHD early identification and risk warning researchers based on the architecture design of the Cooperated Data Management Platform.","PeriodicalId":74502,"journal":{"name":"Proceedings : Annual International Computer Software and Applications Conference. COMPSAC","volume":"28 1","pages":"731-736"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78035181","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}

{"title":"Message from the BIOT 2018 Workshop Organizers","authors":"H. Ochiai, K. Geihs, Susumu Takeuchi","doi":"10.1109/COMPSAC.2018.10286","DOIUrl":"https://doi.org/10.1109/COMPSAC.2018.10286","url":null,"abstract":"","PeriodicalId":74502,"journal":{"name":"Proceedings : Annual International Computer Software and Applications Conference. COMPSAC","volume":"1 1","pages":"516"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81425388","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}

{"title":"Message from the NETSAP 2018 Workshop Organizers","authors":"Masaki Hashimoto, Y. Hori, Yutaka Miyake","doi":"10.1109/COMPSAC.2018.10312","DOIUrl":"https://doi.org/10.1109/COMPSAC.2018.10312","url":null,"abstract":"","PeriodicalId":74502,"journal":{"name":"Proceedings : Annual International Computer Software and Applications Conference. COMPSAC","volume":"74 1 1","pages":"652"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89712032","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}

{"title":"Message from the IWFIT 2018 Workshop Organizers","authors":"H. Ohsaki, Y. Okabe, K. Okamura","doi":"10.1109/COMPSAC.2018.10333","DOIUrl":"https://doi.org/10.1109/COMPSAC.2018.10333","url":null,"abstract":"","PeriodicalId":74502,"journal":{"name":"Proceedings : Annual International Computer Software and Applications Conference. COMPSAC","volume":"13 1","pages":"762"},"PeriodicalIF":0.0,"publicationDate":"2018-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79795429","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}