A Prediction Method Based on Complex Event Processing for Cyber Physical System

2018 ◽  
pp. 283-292
Author(s):  
Shaofeng Geng ◽  
Xiaoxi Guo ◽  
Jia Zhang ◽  
Yongheng Wang ◽  
Renfa Li ◽  
...  
Keyword(s):  
Physical System ◽  
Prediction Method ◽  
Complex Event Processing ◽  
Cyber Physical System ◽  
Event Processing

An algebraic complex event processing method for cyber-physical system

2018 ◽  
Vol 22 (S6) ◽  
pp. 15169-15177 ◽  
Author(s):  
Cheng Zhou ◽  
Youqian Feng ◽  
Zhonghai Yin
Keyword(s):  
Physical System ◽  
Complex Event Processing ◽  
Processing Method ◽  
Cyber Physical System ◽  
Event Processing

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.

Complex Event Processing over LiveArchived Data Streams

2012 ◽  
Vol 35 (3) ◽  
pp. 540-554 ◽  
Author(s):  
Shang-Lian PENG ◽  
Zhan-Huai LI ◽  
Qun CHEN ◽  
Qiang LI
Keyword(s):  
Data Streams ◽  
Complex Event Processing ◽  
Event Processing
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