scholarly journals Coupled Cyber–Physical System Modeling and Coregulation of a CubeSat

2015 ◽  
Vol 31 (2) ◽  
pp. 443-456 ◽  
Author(s):  
Justin M. Bradley ◽  
Ella M. Atkins
Keyword(s):  
Physical System ◽  
System Modeling ◽  
Cyber Physical System

Control-theoretic cyber-physical system modeling and synthesis

2012 ◽  
Vol 11 (4) ◽  
pp. 1-24 ◽  
Author(s):  
Donghwa Shin ◽  
Jaehyun Park ◽  
Younghyun Kim ◽  
Jaeam Seo ◽  
Naehyuck Chang
Keyword(s):  
Physical System ◽  
System Modeling ◽  
Cyber Physical System

Cyber-Physical System Modeling for Assessment and Enhancement of Power Grid Cyber Security, Resilience, and Reliability

2020 ◽  
pp. 237-270
Author(s):  
Bart W. Tuinema ◽  
José L. Rueda Torres ◽  
Alexandru I. Stefanov ◽  
Francisco M. Gonzalez-Longatt ◽  
Mart A. M. M. van der Meijden
Keyword(s):  
Cyber Security ◽  
Physical System ◽  
System Modeling ◽  
Power Grid ◽  
Cyber Physical System

scholarly journals Cyber-Physical System Modeling Using a Case Study

2018 ◽  
pp. 240-240
Author(s):  
Sara Mallah ◽  
Khalid Kouiss ◽  
Oualid Kamach ◽  
Laurent Deshayes
Keyword(s):  
Physical System ◽  
System Modeling ◽  
Cyber Physical System

Implementation of a Cyber-Physical System Using Wireless Sensor Networks for Monitoring Patients

2015 ◽  
Vol 1 ◽  
pp. 26 ◽  
Author(s):  
Vo Que Son ◽  
Do Tan A
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Physical System ◽  
Patient Monitoring ◽  
High Reliability ◽  
Vital Signs ◽  
Wireless Sensor ◽  
Cyber Physical System ◽  
Self Administration ◽  
Hospital Units

Sensing, distributed computation and wireless communication are the essential building components of a Cyber-Physical System (CPS). Having many advantages such as mobility, low power, multi-hop routing, low latency, self-administration, utonomous data acquisition, and fault tolerance, Wireless Sensor Networks (WSNs) have gone beyond the scope of monitoring the environment and can be a way to support CPS. This paper presents the design, deployment, and empirical study of an eHealth system, which can remotely monitor vital signs from patients such as body temperature, blood pressure, SPO2, and heart rate. The primary contribution of this paper is the measurements of the proposed eHealth device that assesses the feasibility of WSNs for patient monitoring in hospitals in two aspects of communication and clinical sensing. Moreover, both simulation and experiment are used to investigate the performance of the design in many aspects such as networking reliability, sensing reliability, or end-to-end delay. The results show that the network achieved high reliability - nearly 97% while the sensing reliability of the vital signs can be obtained at approximately 98%. This indicates the feasibility and promise of using WSNs for continuous patient monitoring and clinical worsening detection in general hospital units.

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