scholarly journals Using the random components of the jitter of speech pitch period to assess the state of the user of social-cyber-physical system

2019 ◽  
Vol 11 (2) ◽  
pp. 102-107 ◽  
Author(s):  
Ekaterina Pakulova ◽  
Irina Vatamaniuk ◽  
Viktor Budkov ◽  
Roman Iakovlev ◽  
Maksim Nosov
2019 ◽  
Vol 86 (3) ◽  
pp. 63-69
Author(s):  
O. L. Yershova ◽  
L. I. Bazhan

Scientific studies focused on search for ways of building and operating cyber-physical systems are important because integration of physical processes, devices and data by use of cyber-physical systems creates new capacities for control of the physical world, including devices, manufacturing facilities and infrastructures, and opens up new real perspectives for national economies. The object of the study is cyber-physical systems for solving the problems of intellectual control of physical objects. The study is conducted as a contribution in building up a conceptual model of the cyber-physical system’s interactions with the external environment. A generalized scheme of such interaction model is proposed with accounting for feedback, which positive role is that it enables for identification of disturbing impacts on the state of the physical environment, resulting in uncertainties of the latter’s operation. The main functions of feedback in a cyber-physical system is to help produce controlling impacts on a controlled object by use of intellectual control, due to compensating disturbances and maintaining the state of stable equilibrium of the system. Several existing approaches to building conceptual models of cyber-physical systems which interaction with the environment are two-dimensional: cybernetic and physical. The article’s objective is to build a model for taking a controlling decision in cybernetic systems. Its result is an elaborated generalized scheme for taking a controlling decision in such systems. This generalized scheme is based on the information model, which components are interaction of a cyber-physical system with objects of the physical environment, with other systems and a system of artificial intellect, and with the following processes: measuring and computing processes, controlling processes, and communication processes. The described information model helps eliminate the consequences of unpredictable behavior of a cyber-physical system. The presented results are a contribution in the studies on effective control of physical objects, actively elaborated today. Use of the proposed components of the conceptual model will enable to increase the effectiveness of system monitoring of the operation of a physical object given better justification of taken decisions.


Author(s):  
Vo Que Son ◽  
Do Tan A

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.


Author(s):  
Cunbin Li ◽  
Ding Liu ◽  
Yi Wang ◽  
Chunyan Liang

AbstractAdvanced grid technology represented by smart grid and energy internet is the core feature of the next-generation power grid. The next-generation power grid will be a large-scale cyber-physical system (CPS), which will have a higher level of risk management due to its flexibility in sensing and control. This paper explains the methods and results of a study on grid CPS’s behavior after risk. Firstly, a behavior model based on hybrid automata is built to simulate grid CPS’s risk decisions. Then, a GCPS risk transfer model based on cooperative game theory is built. The model allows decisions to ignore complex network structures. On this basis, a modified applicant-proposing algorithm to achieve risk optimum is proposed. The risk management model proposed in this paper can provide references for power generation and transmission decision after risk as well as risk aversion, an empirical study in north China verifies its validity.


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