Distributed Visual analytics for Collaborative Emergency Response Management

被引:3
|
作者
Natarajan, Sriram [1 ]
Ganz, Aura [1 ]
机构
[1] Univ Massachusetts, Dept Elect & Comp Engn, Amherst, MA 01003 USA
关键词
Visual Analytics; Group Synchronization; Collaborative visualization; Emergency Response Management;
D O I
10.1109/IEMBS.2009.5333481
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
In emergency response management, there is a large volume of incoming data and minimal time to process it before making critical decisions. Multiple experts, physicians, incident commander who are geographically distributed, collaboratively work on the collected data to make efficient and timely decisions. In this paper we introduce a distributed visualization environment that supports collaboration among geographically dispersed users. To achieve synchronized update among multiple users we introduce a group synchronization technique which employs an adaptive time adjusting algorithm to modify the output time of the visualization unit. In order to evaluate our system we have developed an interactive synchronous visualization unit, and tested our work by running it on varying network delay collaborative servers and achieve time synchronization among them.
引用
收藏
页码:1714 / 1717
页数:4
相关论文
共 50 条
  • [11] A collaborative large spatio-temporal data visual analytics architecture for emergence response
    Guo, D.
    Li, J.
    Cao, H.
    Zhou, Y.
    [J]. 8TH INTERNATIONAL SYMPOSIUM OF THE DIGITAL EARTH (ISDE8), 2014, 18
  • [12] Studying Animation for Real-Time Visual Analytics: A Design Study of Social Media Analytics in Emergency Management
    Calderon, Nadya A.
    Arias-Hernandez, Richard
    Fisher, Brian
    [J]. 2014 47TH HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES (HICSS), 2014, : 1364 - 1373
  • [13] Development of distributed collaborative GIS based on web services for urban emergency management
    Zheng, M. H.
    Jiang, Y. Y.
    Huang, Z. Q.
    Zhang, X. Y.
    [J]. ISISS '2007: PROCEEDINGS OF THE INNOVATION AND SUSTAINABILITY OF STRUCTURES, VOLS 1 AND 2, 2008, : 1110 - 1119
  • [14] Distributed Geospatial Data Processing Functionality to Support Collaborative and Rapid Emergency Response
    Brunner, Dominik
    Lemoine, Guido
    Thoorens, Francois-Xavier
    Bruzzone, Lorenzo
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2009, 2 (01) : 33 - 46
  • [15] Collaborative emergency management and national emergency management network
    Kapucu, Naim
    Arslan, Tolga
    Demiroz, Fatih
    [J]. DISASTER PREVENTION AND MANAGEMENT, 2010, 19 (04) : 452 - 468
  • [16] Management of resource sharing in emergency response using data-driven analytics
    Zhang, Jifan
    Tutun, Salih
    Anvaryazdi, Samira Fazel
    Amini, Mohammadhossein
    Sundaramoorthi, Durai
    Sundaramoorthi, Hema
    [J]. ANNALS OF OPERATIONS RESEARCH, 2024, 339 (1-2) : 663 - 692
  • [17] Mobile analytics for emergency response and training
    Kim, SungYe
    Maciejewski, Ross
    Ostmo, Karl
    Delp, Edward J.
    Collins, Timothy F.
    Ebert, David S.
    [J]. INFORMATION VISUALIZATION, 2008, 7 (01) : 77 - 88
  • [18] Studying commuting behaviours using collaborative visual analytics
    Beecham, Roger
    Wood, Jo
    Bowerman, Audrey
    [J]. COMPUTERS ENVIRONMENT AND URBAN SYSTEMS, 2014, 47 : 5 - 15
  • [19] Aeonium: Visual Analytics to Support Collaborative Qualitative Coding
    Drouhard, Margaret
    Chen, Nan-Chen
    Suh, Jina
    Kocielnik, Rafal
    Pena-Araya, Vanessa
    Cen, Keting
    Zheng, Xiangyi
    Aragon, Cecilia R.
    [J]. 2017 IEEE PACIFIC VISUALIZATION SYMPOSIUM (PACIFICVIS), 2017, : 220 - 229
  • [20] A collaborative visual analytics suite for protein folding research
    Harvey, William
    Park, In-Hee
    Ruebel, Oliver
    Pascucci, Valerio
    Bremer, Peer-Timo
    Li, Chenglong
    Wang, Yusu
    [J]. JOURNAL OF MOLECULAR GRAPHICS & MODELLING, 2014, 53 : 59 - 71