10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing最新文献_第6页

Rafiki: A semantic and collaborative approach to community health-care in underserved areas Rafiki:服务不足地区社区卫生保健的语义和协作方法

10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing Pub Date : 2014-10-22 DOI: 10.4108/ICST.COLLABORATECOM.2014.257299

Primal Pappachan, Roberto Yus, A. Joshi, Timothy W. Finin

{"title":"Rafiki: A semantic and collaborative approach to community health-care in underserved areas","authors":"Primal Pappachan, Roberto Yus, A. Joshi, Timothy W. Finin","doi":"10.4108/ICST.COLLABORATECOM.2014.257299","DOIUrl":"https://doi.org/10.4108/ICST.COLLABORATECOM.2014.257299","url":null,"abstract":"Community Health Workers (CHWs) act as liaisons between health-care providers and patients in underserved or un-served areas. However, the lack of information sharing and training support impedes the effectiveness of CHWs and their ability to correctly diagnose patients. In this paper, we propose and describe a system for mobile and wearable computing devices called Rafiki which assists CHWs in decision making and facilitates collaboration among them. Rafiki can infer possible diseases and treatments by representing the diseases, their symptoms, and patient context in OWL ontologies and by reasoning over this model. The use of semantic representation of data makes it easier to share knowledge related to disease, symptom, diagnosis guidelines, and patient demography, between various personnel involved in health-care (e.g., CHWs, patients, healthcare providers). We describe the Rafiki system with the help of a motivating community health-care scenario and present an Android prototype for smart phones and Google Glass.","PeriodicalId":432345,"journal":{"name":"10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128926065","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: 14

Autonomy in collaborative manufacturing networks 协同制造网络中的自主性

10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing Pub Date : 2014-10-01 DOI: 10.4108/ICST.COLLABORATECOM.2014.257369

Yun Guo, Amihai Motro

引用次数: 4

The effect of interaction models on multi-user usability of collaborative virtual environments 交互模型对协同虚拟环境多用户可用性的影响

10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing Pub Date : 2014-10-01 DOI: 10.4108/ICST.COLLABORATECOM.2014.257234

Aida Erfanian, Yaoping Hu

{"title":"The effect of interaction models on multi-user usability of collaborative virtual environments","authors":"Aida Erfanian, Yaoping Hu","doi":"10.4108/ICST.COLLABORATECOM.2014.257234","DOIUrl":"https://doi.org/10.4108/ICST.COLLABORATECOM.2014.257234","url":null,"abstract":"Multi-user usability of collaborative virtual environments (VEs) require the consideration of users' socio-human needs. However, most investigations of the usability have focused on either the technologies involved or individual user experience. Few have examined the effect of interaction models on multi-user usability, by taking account the socio-human needs. Thus, we have undertaken a study on such effect for collaborative tasks, comparing two interaction models: first-come-first-serve (FCFS) and dynamic priority (DP). Departing largely from our previous verification of these models for conflict resolution, the current study assessed multi-user usability for achieving a collaborative goal in a quasi-practical scenario. Based on the ISO/IEC 25010:2011 standard on usability, our observations revealed that multiple users completed the collaborative tasks statistically more effective, efficient, and satisfactory under the DP model than under the FCFS model. These observations indicate a potential practicality of the DP model for multi-user VEs, in which experts perform collaborative tasks.","PeriodicalId":432345,"journal":{"name":"10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114635161","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

Towards enabling probabilistic databases for participatory sensing 实现参与式感知的概率数据库

10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing Pub Date : 2014-10-01 DOI: 10.4108/ICST.COLLABORATECOM.2014.257239

Nguyen Quoc Viet Hung, Saket K. Sathe, Chi Thang Duong, K. Aberer

{"title":"Towards enabling probabilistic databases for participatory sensing","authors":"Nguyen Quoc Viet Hung, Saket K. Sathe, Chi Thang Duong, K. Aberer","doi":"10.4108/ICST.COLLABORATECOM.2014.257239","DOIUrl":"https://doi.org/10.4108/ICST.COLLABORATECOM.2014.257239","url":null,"abstract":"Participatory sensing has emerged as a new data collection paradigm, in which humans use their own devices (cell phone accelerometers, cameras, etc.) as sensors. This paradigm enables to collect a huge amount of data from the crowd for world-wide applications, without spending cost to buy dedicated sensors. Despite of this benefit, the data collected from human sensors are inherently uncertain due to no quality guarantee from the participants. Moreover, the participatory sensing data are time series that not only exhibit highly irregular dependencies on time, but also vary from sensor to sensor. To overcome these issues, we study in this paper the problem of creating probabilistic data from given (uncertain) time series collected by participatory sensors. We approach the problem in two steps. In the first step, we generate probabilistic times series from raw time series using a dynamical model from the time series literature. In the second step, we combine probabilistic time series from multiple sensors based on the mutual relationship between the reliability of the sensors and the quality of their data. Through extensive experimentation, we demonstrate the efficiency of our approach on both real data and synthetic data.","PeriodicalId":432345,"journal":{"name":"10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116153792","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: 15

A user-friendly framework for database preferences 一个用户友好的数据库首选项框架

10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing Pub Date : 2014-10-01 DOI: 10.4108/ICST.COLLABORATECOM.2014.257659

Roxana Gheorghiu, Alexandros Labrinidis, Panos K. Chrysanthis

{"title":"A user-friendly framework for database preferences","authors":"Roxana Gheorghiu, Alexandros Labrinidis, Panos K. Chrysanthis","doi":"10.4108/ICST.COLLABORATECOM.2014.257659","DOIUrl":"https://doi.org/10.4108/ICST.COLLABORATECOM.2014.257659","url":null,"abstract":"Data drives all aspects of our society, from everyday life, to business, to medicine, and science. It is well known that query personalization can be an effective technique in dealing with the data scalability challenge, primarily from the human point of view. In order to customize their query results, users need to express their preferences in a simple and user-friendly manner. There are two types of preferences: qualitative and quantitative. Each preference type has advantages and disadvantages with respect to expressiveness. In this paper, we present a graph-based theoretical framework and a prototype system that unify qualitative and quantitative preferences, while eliminating their disadvantages. Our integrated system allows for (1) the specification of database preferences and creation of user preference profiles in a user-friendly manner and (2) the manipulation of preferences of individuals or groups of users. A key feature of our hybrid model is the ability to convert qualitative preferences into quantitative preferences using intensity values and without losing the qualitative information. This feature allows us to create a total order over the tuples in the database, matching both qualitative and quantitative preferences, hence significantly increasing the number of tuples covered by the user preferences.We confirmed this experimentally by comparing our preference selection algorithm with Fagin's TA algorithm.","PeriodicalId":432345,"journal":{"name":"10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132567273","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

Energy efficient and quality-driven continuous sensor management for mobile IoT applications 针对移动物联网应用的节能和质量驱动的连续传感器管理

10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing Pub Date : 2014-10-01 DOI: 10.4108/ICST.COLLABORATECOM.2014.257320

Lea Skorin-Kapov, K. Pripužić, M. Marjanović, Aleksandar Antonic, Ivana Podnar Žarko

{"title":"Energy efficient and quality-driven continuous sensor management for mobile IoT applications","authors":"Lea Skorin-Kapov, K. Pripužić, M. Marjanović, Aleksandar Antonic, Ivana Podnar Žarko","doi":"10.4108/ICST.COLLABORATECOM.2014.257320","DOIUrl":"https://doi.org/10.4108/ICST.COLLABORATECOM.2014.257320","url":null,"abstract":"A novel class of mobile Internet of Things applications falls under the category of mobile crowdsensing, whereby large amounts of sensed data are collected and shared by mobile sensing and computing devices for the purposes of observing phenomena of common interest (e.g., traffic monitoring, environmental monitoring). Challenges arise with respect to collecting and managing sensor data in an energy- and bandwidth-efficient manner. In this paper we present a cloud-based system architecture centred around a publish/subscribe middleware interfaced with a quality-driven sensor management function, applicable for building mobile IoT applications. The architecture is designed so as to smartly manage and acquire sensor readings in order to satisfy global sensing coverage requirements, while obviating redundant sensor activity and consequently reducing overall system energy consumption. We evaluate the system using a proposed model for calculating bandwidth and energy savings. Model evaluation based on simulation results provides insight into the energy savings for different application requirements and geographical sensor distribution scenarios. Our results show that in certain identified cases, significant energy consumption reductions can be achieved utilizing the proposed architecture and sensor management scheme (as compared to a standard publish/subscribe approach), while maintaining overall global sensing quality level (in terms of required sensing coverage). Assumptions with regards to user distributions in urban areas are verified using an existing dataset reported in literature.","PeriodicalId":432345,"journal":{"name":"10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130970784","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: 25

Identifying network packets across translational boundaries 识别跨转换边界的网络数据包

10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing Pub Date : 2014-10-01 DOI: 10.4108/ICST.COLLABORATECOM.2014.257685

Napoleon Paxton, Joseph Mathews

{"title":"Identifying network packets across translational boundaries","authors":"Napoleon Paxton, Joseph Mathews","doi":"10.4108/ICST.COLLABORATECOM.2014.257685","DOIUrl":"https://doi.org/10.4108/ICST.COLLABORATECOM.2014.257685","url":null,"abstract":"A translational boundary is any computer network system which performs network address translation in order to act as an intermediary between client requests and server responses. Since boundaries essentially hide networks from the world by acting on their behalf, a sensor monitoring traffic for malicious activity outside of a boundary would attribute the boundary itself as the target of an attack rather than the actual host affected behind the boundary. This challenge is exacerbated inside of tiered network architectures and drives the need for a capability to track network communications across boundaries. While several attempts have been made at addressing this problem space, existing approaches are often difficult to implement or fundamentally problematic. We propose a novel method for tracking communications across boundaries based on the fact that the message being transmitted must remain constant and intact in order for it to be successfully interpreted by a server. The proposed method leverages cryptographic hashing techniques applied towards the application layer payload of network packets from two different perspectives on the network, enabling correlation before and after the packet headers are modified by the boundary. The technique can be implemented atop open source technology on commodity hardware, and provides a stable foundation for building tiered enterprise network architectures with an inherent capability for pinpointing malicious activity.","PeriodicalId":432345,"journal":{"name":"10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114466933","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: 1

Multi-sectoral collaborative open data applications 多部门协作开放数据应用

10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing Pub Date : 2014-10-01 DOI: 10.4108/ICST.COLLABORATECOM.2014.257375

P. Alencar, D. Cowan, Fred McGarry, R. Palmer

引用次数: 4

Collaborative cloud service model for delivering multimedia content in mCloud 在mCloud中交付多媒体内容的协作云服务模型

10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing Pub Date : 2014-10-01 DOI: 10.4108/ICST.COLLABORATECOM.2014.257484

Aleksandar Karadimce, D. Davcev

引用次数: 3

Developing a collaborative cloud-based platform for watershed analysis and management 开发基于云的流域分析与管理协作平台

10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing Pub Date : 2014-10-01 DOI: 10.4108/ICST.COLLABORATECOM.2014.257676

P. Alencar, D. Cowan, Fred McGarry, R. Palmer

引用次数: 7