Application of shipboard command and control simulation system base on SCA

2011 ◽  
Author(s):  
Shulan Gao ◽  
Yanyang Zeng ◽  
Shufen Liu
Keyword(s):  
Command And Control ◽  
Simulation System ◽  
Control Simulation ◽  
And Control

The Effect of Distributed Practice on Immediate Posttraining, and Long-Term Performance on a Complex Command-and-Control Simulation Task

2010 ◽  
Vol 23 (5) ◽  
pp. 428-445 ◽  
Author(s):  
Winfred Arthur ◽  
Eric Anthony Day ◽  
Anton J. Villado ◽  
Paul R. Boatman ◽  
Vanessa Kowollik ◽  
...  
Keyword(s):  
Command And Control ◽  
Distributed Practice ◽  
Control Simulation ◽  
Long Term Performance ◽  
And Control ◽  
Term Performance ◽  
Simulation Task

Modeling and Analysis of C2 Network System

2011 ◽  
Vol 148-149 ◽  
pp. 1554-1557
Author(s):  
Xiao Song ◽  
Li Dong Qian ◽  
Xue Cheng Shi ◽  
Shao Yun Zhang
Keyword(s):  
Complex Systems ◽  
Command And Control ◽  
System Of Systems ◽  
Simulation System ◽  
Network System ◽  
Modeling And Analysis ◽  
Scale Free ◽  
And Control

A command and control (C2) simulation system, ZZSIM is built. The characteristics of ZZSIM models are discussed, comparing System of Systems, HLA systems and complex systems. It is concluded that HLA based C2 simulation is valid. Then the communication data among C2 simulation nodes are recorded and analyzed, which shows that ZZSIM is scale-free. Therefore the data verify that ZZSIM is a valid simulation system of network centric war.

scholarly journals Coding Verbal Interactions in a Prototype Future Force Command and Control Simulation

2004 ◽  
Author(s):  
Paula J. Durlach ◽  
Laticla D. Bowens ◽  
John L. Neumann ◽  
Thomas J. Carnahan
Keyword(s):  
Command And Control ◽  
Verbal Interactions ◽  
Control Simulation ◽  
And Control

Using Heart Rate Variability to Assess Operator Mental Workload in a Command and Control Simulation of Multiple Unmanned Aerial Vehicles

2016 ◽  
Vol 60 (1) ◽  
pp. 1125-1129 ◽  
Author(s):  
Phillip Jasper ◽  
Ciara Sibley ◽  
Joseph Coyne
Keyword(s):  
Heart Rate ◽  
Unmanned Aerial Vehicles ◽  
Mental Workload ◽  
Command And Control ◽  
Control Simulation ◽  
Aerial Vehicles ◽  
Single Vehicle ◽  
Multiple Unmanned Aerial Vehicles ◽  
And Control ◽  
Operator Workload

Unmanned systems will play an increased role in the future beyond military application including but not limited to: search and rescue, border patrol, homeland security, and natural disaster relief operations. Current models of unmanned system operations, such as those used for unmanned aerial vehicles, require multiple operators to control a single vehicle. This multioperator-single vehicle ratio will soon shift to a multioperator-multivehicle model as the number of unmanned systems increase and work in unison to complete a mission. The purpose of this study was to determine the utility of a physiological measure i.e. heart rate variability (HRV), to assess operator workload in a single operator-multivehicle command and control simulation. An internally developed command and control simulator is described and observed effects of mental workload on HRV are reported. Results suggest that HRV can be used to assess operator workload during a command and control simulation of multiple unmanned aerial vehicles.

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