Midlands State University Library

Spatio-temporal location modeling in a 3D indoor environment: the case of AEDs as emergency medical devices (Record no. 160743)

MARC details
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fixed length control field 02546nam a22002417a 4500
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control field ZW-GwMSU
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control field 20221209125230.0
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Original cataloging agency MSU
Transcribing agency MSU
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100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Dao, Thi Hong Diep
Relator term author
245 10 - TITLE STATEMENT
Title Spatio-temporal location modeling in a 3D indoor environment: the case of AEDs as emergency medical devices
Statement of responsibility, etc. created by Thi Hong Diep Dao , Yuhong Zhou , Jean-Claude Thill & Eric Delmelle
264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Charlotte:
Name of producer, publisher, distributor, manufacturer Taylor & Francis,
Date of production, publication, distribution, manufacture, or copyright notice 2012.
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Source rdamedia
Media type term unmediated
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440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
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Summary, etc. <br/><br/>This research innovatively extends optimal emergency facility location models to the interior space of multistory buildings with an integrated spatial-temporal framework. We present the case of deployed emergency medical devices known as automated external defibrillators (AEDs), which serve to treat sudden cardiac arrest on-site within the first few critical minutes of the event. AEDs have become a critical element of basic life support services in many public buildings. The proposed framework is based on the concept of discrete time windows to capture the time-dependence of potential demand and stochastically model the detection time component of impedance as a function of space–time distribution of demand. Different optimization objectives minimizing sudden cardiac arrest outcome consequences (e.g., brain damage or death) as a function of suffering time are formulated and solved. The first model is the multiple-time-window maximal covering location problem model which optimizes the placement of AEDs by maximizing the covered demand over all time periods. The second is the multiple-time-window p-Median model which places AEDs to maximize the expected value of prevented death or permanent brain impairment in case of defibrillation treatment over multiple time windows. Both models are implemented through tight coupling of commercial geographic information system software and a linear programming solver. The models are novel in two primary respects, namely location modeling in 3D microscale spaces and the integration of spatial and temporal considerations. Innovative visualization techniques for AED indoor location and coverage are also presented.<br/><br/><br/><br/><br/>
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element location-allocation modeling
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Topical term or geographic name entry element 3D visualization
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element microscale spaces
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1080/13658816.2011.597753
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Journal Article
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Serial Enumeration / chronology Total Checkouts Full call number Date last seen Copy number Price effective from Koha item type Public note
    Library of Congress Classification     Main Library Main Library - Special Collections 20/02/2013 Vol 26 Nos 3-4 pages 469-494   G70.2 INT 09/12/2022 SP14364 09/12/2022 Journal Article For in-house use only