Pub Date : 2018-07-01DOI: 10.1109/COMPSAC.2018.10246
Wenjun Chu, Hong-Ren Chen
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.
{"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}
Pub Date : 2018-07-01DOI: 10.1109/COMPSAC.2018.00161
Toyokazu Akiyama, Marian Lee
{"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}
Pub Date : 2018-07-01DOI: 10.1109/COMPSAC.2018.00160
Sizheng Li, Chuanhe Huang
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.
在车载自组织网络(VANETs)中，利用多跳广播技术实现事件驱动的应急信息在车辆间的快速、可靠传播具有积极意义。大多数现有的解决方案都是由发送方或接收方进行中继选择。但是前者会因为链路不稳定而失效，而后者会产生额外的延迟。为了解决这些问题，本文提出了一种新的机制MBM-EMD (multi - hop broadcast mechanism for emergency message dissemination)。我们的贡献是双重的。i)我们将车辆密度、相对运动和信道质量等多种影响因素整合到一个名为ETGPH的新度量中(即每跳的预期传输增益)，并使用它来选择最佳中继。ii)当前发送方在获得待重播候选集后，首先从中指定一个最优中继立即重播。如果中继失败，其他候选人将根据我们的规则协助转发。仿真结果验证了该方法的可行性和有效性。
{"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}
Pub Date : 2018-07-01DOI: 10.1109/COMPSAC.2018.10227
Takashi Yamanoue, Hiroki Kashiwazaki, Yong Jin, R. Gad
{"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}
Pub Date : 2018-07-01DOI: 10.1109/COMPSAC.2018.00116
H. Shahriar, H. Takakura, M. Takemoto, D. Towey
{"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}
Pub Date : 2018-07-01DOI: 10.1109/COMPSAC.2018.10327
Peili Yang, H Zhao, Xuezhen Yin, Jian Ye, Lingfeng Yang, Jimin Liang
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.
{"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}
Pub Date : 2018-07-01DOI: 10.1109/COMPSAC.2018.10286
H. Ochiai, K. Geihs, Susumu Takeuchi
{"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}
Pub Date : 2018-07-01DOI: 10.1109/COMPSAC.2018.10312
Masaki Hashimoto, Y. Hori, Yutaka Miyake
{"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}
Pub Date : 2018-06-08DOI: 10.1109/COMPSAC.2018.10333
H. Ohsaki, Y. Okabe, K. Okamura
{"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}
Pub Date : 2017-01-01DOI: 10.1109/COMPSAC.2017.191
Hongyan Tang, Ying Li, Long Wang, Jing Gu, Zhonghai Wu
{"title":"Predicting Misconfiguration-Induced Unsuccessful Executions of Jobs in Big Data System","authors":"Hongyan Tang, Ying Li, Long Wang, Jing Gu, Zhonghai Wu","doi":"10.1109/COMPSAC.2017.191","DOIUrl":"https://doi.org/10.1109/COMPSAC.2017.191","url":null,"abstract":"","PeriodicalId":74502,"journal":{"name":"Proceedings : Annual International Computer Software and Applications Conference. COMPSAC","volume":"17 1","pages":"772-777"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74421363","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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