The Modeling, Distribution and Synchronising of the States in a Digital Simulation of Mass Casualty Incidents (bibtex)
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Abstract:
In Mass Casualty Incidents with many injured people, for example bus accidents, we rely on the professional actions of the rescue forces. These are exceptional situations that require intensive training. As part of our bachelor's project, we have developed an app that makes it possible to train large-scale operations in a realistic and inexpensive way. For this purpose, we are digitizing the already existing Dynamic Patient Simulation (dPS). In the dPS, patients are represented by laminated cards. States are described by clocks, stickers and verbal language (e.g. starting/pausing the exercise by the trainer). Therefore the states have to be digitized. This paper shows how we model, distribute and synchronize the states. In the data model we divide the data into a static and a dynamic part. Stored timestamps offer the possibility to read current states at any time. I will show that it is more suitable for our project to build a client-server system, than a peer-to-peer system. Based on this, the communication between client and server using a REST API and WebSockets will be described.
Reference:
The Modeling, Distribution and Synchronising of the States in a Digital Simulation of Mass Casualty Incidents (Chiara Schirmer), Bachelor's thesis, Hasso-Plattner-Institut für Digital Engineering, Universität Potsdam, 2021. (Bachelor Thesis)
Bibtex Entry:
@BachelorsThesis{Schirmer2021,
AUTHOR = {Schirmer, Chiara},
TITLE = {{The Modeling, Distribution and Synchronising of the States in a Digital Simulation of Mass Casualty Incidents}},
YEAR = {2021},
ADDRESS = {Potsdam},
SCHOOL = {Hasso-Plattner-Institut für Digital Engineering, Universität Potsdam},
ABSTRACT = {In Mass Casualty Incidents with many injured people, for example bus accidents, we rely on the professional actions of the rescue forces. These are exceptional situations that require intensive training. As part of our bachelor's project, we have developed an app that makes it possible to train large-scale operations in a realistic and inexpensive way. For this purpose, we are digitizing the already existing Dynamic Patient Simulation (dPS). In the dPS, patients are represented by laminated cards. States are described by clocks, stickers and verbal language (e.g. starting/pausing the exercise by the trainer). Therefore the states have to be digitized. This paper shows how we model, distribute and synchronize the states. In the data model we divide the data into a static and a dynamic part. Stored timestamps offer the possibility to read current states at any time. I will show that it is more suitable for our project to build a client-server system, than a peer-to-peer system. Based on this, the communication between client and server using a REST API and WebSockets will be described.},
NOTE = {Bachelor Thesis},
TYPE = {Bachelorthesis},
ANNOTE = {LANGUAGE : German  }
}
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