2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC)最新文献_第6页

Polynomial classification model for real-time fall prediction system 基于多项式分类模型的实时坠落预测系统

2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC) Pub Date : 2017-07-01 DOI: 10.1109/COMPSAC.2017.189

Masoud Hemmatpour, Milad Karimshoushtari, R. Ferrero, B. Montrucchio, M. Rebaudengo, C. Novara

{"title":"Polynomial classification model for real-time fall prediction system","authors":"Masoud Hemmatpour, Milad Karimshoushtari, R. Ferrero, B. Montrucchio, M. Rebaudengo, C. Novara","doi":"10.1109/COMPSAC.2017.189","DOIUrl":"https://doi.org/10.1109/COMPSAC.2017.189","url":null,"abstract":"Human gait is a dynamic biometrical feature that describes the kinematics of human walking. Gait modeling is studied in order to find a pattern of walking that can be used for diagnosis of walking disorder or abnormal walk detection. Difficulty in walking progressively increases with aging and causes unintentional falls, which is a common incident among elderly people. Fall prediction systems can help to prevent unintentional falls that could cause serious injuries, therefore they can reduce the health service costs. This paper presents an algorithm with polynomial classification model of human gait for real-time fall prediction. This approach enables the user to detect the transition from a normal to an abnormal walking pattern. A dataset based on the state-of-the-art techniques in simulating abnormal walks was created by using an accelerometer embedded in a smartphone, which is recognized to be precise enough for fall avoidance systems. The proposed approach improves state-of-the-art fall prediction approaches, by achieving 99.2% of accuracy in abnormal walk detection.","PeriodicalId":6556,"journal":{"name":"2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC)","volume":"320 1","pages":"973-978"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77801040","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}

引用次数: 7

Message from SETA 2017 Symposium Chairs SETA 2017研讨会主席致辞

2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC) Pub Date : 2017-07-01 DOI: 10.1109/COMPSAC.2017.301

Ricky Chan, Hong Zhu

引用次数: 0

Fogonomics — The Strategic, Economic, and Financial Aspects of the Cloud 雾经济学——云的战略、经济和金融方面

2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC) Pub Date : 2017-07-01 DOI: 10.1109/COMPSAC.2017.283

J. Weinman

引用次数: 2

FATDOG: Hadoop Based Test Data Generation Tool for RESTful Web Service FATDOG:基于Hadoop的RESTful Web服务测试数据生成工具

2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC) Pub Date : 2017-07-01 DOI: 10.1109/COMPSAC.2017.124

Jing Liu, Wenjie Chen

引用次数: 2

Self-Paced Approach in Synergistic Model for Supporting and Testing Students 支持和测试学生的协同模式中的自定进度方法

2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC) Pub Date : 2017-07-01 DOI: 10.1109/COMPSAC.2017.211

A. Barana, M. Marchisio, Alessandro Bogino, L. Operti, Michele Fioravera, S. Rabellino, F. Floris

引用次数: 16

KANDOR — Knowledge Analysis of Neighborhood Dynamics and Online Relationships 邻域动态和在线关系的知识分析

2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC) Pub Date : 2017-07-01 DOI: 10.1109/COMPSAC.2017.160

Ricardo Chagas Rapacki, Leandro Krug Wives, R. Galante

{"title":"KANDOR — Knowledge Analysis of Neighborhood Dynamics and Online Relationships","authors":"Ricardo Chagas Rapacki, Leandro Krug Wives, R. Galante","doi":"10.1109/COMPSAC.2017.160","DOIUrl":"https://doi.org/10.1109/COMPSAC.2017.160","url":null,"abstract":"With the emergence of smartphones and location-based social networks, a large amount of user-generated data has become available to better understand city dynamics and help urban planning. While most of the related works choose to focus on specific dimensions of the data, the proposed models aim to benefit from the extent of the information existing in social platforms. Thus, this paper explores the full potential of social media data and proposes novel clustering models for retrieving information about city dynamics and urban characterization by incorporating new dimensions to state of the art algorithms. Aspects such as venue rating, entropy and popularity may lead to new and more complete understanding of activities and trends in a city. Preliminary experiments show that it is possible to aggregate a large diversity of information from different social networks, and generate different and complementary visualizations of the city. Moreover, by applying these methods to urban environments, governments and citizens can better understand and build better sustainable cities together.","PeriodicalId":6556,"journal":{"name":"2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC)","volume":"71 1","pages":"816-821"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86127822","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}

引用次数: 0

IoT Agent Platform Mechanism with Transparent Cloud Computing Framework for Improving IoT Security 物联网代理平台机制，透明云计算框架，提高物联网安全性

2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC) Pub Date : 2017-07-01 DOI: 10.1109/COMPSAC.2017.156

Ikuo Nakagawa, S. Shimojo

引用次数: 17

Tactile Interface Design for Helping Mobility of People with Visual Disabilities 帮助视障人士移动的触觉界面设计

2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC) Pub Date : 2017-07-01 DOI: 10.1109/COMPSAC.2017.227

Christian Lykawka, Bruno Kozen Stahl, M. B. Campos, Jaime Sánchez, M. Pinho

引用次数: 4

Container Rebalancing: Towards Proactive Linux Containers Placement Optimization in a Data Center 容器再平衡:迈向数据中心中主动的Linux容器放置优化

2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC) Pub Date : 2017-07-01 DOI: 10.1109/COMPSAC.2017.94

Pongsakorn U-chupala, Yasuhiro Watashiba, Koheix Ichikawa, S. Date, Hajimu Iida

{"title":"Container Rebalancing: Towards Proactive Linux Containers Placement Optimization in a Data Center","authors":"Pongsakorn U-chupala, Yasuhiro Watashiba, Koheix Ichikawa, S. Date, Hajimu Iida","doi":"10.1109/COMPSAC.2017.94","DOIUrl":"https://doi.org/10.1109/COMPSAC.2017.94","url":null,"abstract":"Similar to Virtualization, Linux Containers (LXC) provides high-performance, lightweight computing resource allocation and isolation. Each LXC container has a resource overhead smaller than that of a virtual machine, leading to significantly lower container migration time and making frequent container placement modification a viable optimization technique. Traditional container scheduling mechanisms do not leverage this property of LXC. Generally, a scheduler tries to find the most optimal placement for a new container, the allocated host then executes the scheduled container until the end of the container's life cycle. This strategy works fine for short-lived containers. With a long-lived container such as a server process becoming more and more common, and the container placement calculated at the beginning of the execution may not remain optimal during the container's lifetime, since the other containers are moving in and out of the cluster. This research proposes container rebalancing, a novel scheduling mechanism with a rebalancing process working alongside a scheduling process. The container rebalancing method increases LXC cluster utilization while maintaining minimal interference with the scheduling process. This is done by continuously modifying container placement, by using the rebalancing process, in order to load-balance utilization of each host in the LXC cluster. LXC cluster simulation driven by Google's cluster data is used to verify the feasibility of container rebalancing. Simulation results show an observable increase in container scheduled rate and cluster utilization with no drawback, suggesting that container rebalancing is a promising method.","PeriodicalId":6556,"journal":{"name":"2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC)","volume":"696 25","pages":"788-795"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91461700","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}

引用次数: 16

Talis — A Design Study for a Wearable Device to Assist People with Depression Talis -一个可穿戴设备的设计研究，以帮助抑郁症患者

2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC) Pub Date : 2017-07-01 DOI: 10.1109/COMPSAC.2017.228

Dirk Siegmund, Laura Chiesa, Oliver Horr, Frank Gabler, Andreas Braun, Arjan Kuijper

{"title":"Talis — A Design Study for a Wearable Device to Assist People with Depression","authors":"Dirk Siegmund, Laura Chiesa, Oliver Horr, Frank Gabler, Andreas Braun, Arjan Kuijper","doi":"10.1109/COMPSAC.2017.228","DOIUrl":"https://doi.org/10.1109/COMPSAC.2017.228","url":null,"abstract":"One of the major diseases affecting the global population, depression has a strong emotional impact on its sufferers. In this design study, \"Talis\" is presented as a wearable device which uses emotion recognition as an interface between patient and machine to support psychotherapeutic treatment. We combine two therapy methods, \"Cognitive Behavioral Therapy\" and \"Well-Being Therapy\", with interactive methods thought to increase their practical application potential. In this study, we draw on the results obtained in the area of \"affective computing\" for the use of emotions in empathic devices. The positive and negative phases experienced by the patient are identified through speech recognition and used for direct communication and later evaluation. After considering the design possibilities and suitable hardware, the future realization of such technology appears feasible. In order to design the wearable, user studies and technical experiments were carried out. The results of these suggest that the device could be beneficial for the treatment of patients with depression.","PeriodicalId":6556,"journal":{"name":"2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC)","volume":"47 1","pages":"543-548"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80541755","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}

引用次数: 5