cyberphysical systems
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2021 ◽  
Vol 3 (1) ◽  
pp. 89-98
Author(s):  
Y Paramud ◽  
A Yanchynskyi

An alert system has been studied, in which sensor data can be collected and analyzed for further processing and action. Notifications are generated when data is compared against certain criteria. The ESP8266 microcontroller has been chosen as the basic device for implementing such a system, as this Espressif controller is a highly integrated Wi-Fi SoC solution that meets the demands of the cyberphysical systems industry in low power consumption, compactness and reliability. This solution is one of the most effective for the alert system. On the basis of this microcontroller the technical means of the computer system and the functional software for realization of functions of monitoring and the notification of critical values of a microclimate indoors are designed. The architecture of the computer system is studied. The choice of the main components of the hardware part of the system is substantiated, the element base is considered. A detailed scheme of the software operation algorithm is offered, as well as the results of the developed computer system for alerting the critical values of the indoor microclimate are demonstrated.


Computer ◽  
2021 ◽  
Vol 54 (12) ◽  
pp. 104-108
Author(s):  
Joanna F. DeFranco ◽  
Dimitrios Serpanos ◽  
Joanna F. DeFranco

Computer ◽  
2021 ◽  
Vol 54 (12) ◽  
pp. 50-59
Author(s):  
Georgios Bakirtzis ◽  
Eswaran Subrahmanian ◽  
Cody H. Fleming

2021 ◽  
Vol 26 (jai2021.26(2)) ◽  
pp. 15-25
Author(s):  
Belej O ◽  
◽  
Kolesnyk K ◽  
Nestor N ◽  
Fedirko Yu ◽  
...  

In this research work analyzes and compares existing methods for describing data from cyberphysical systems, methods for detecting network attacks targeting cyberphysical systems, analyzes fundamental approaches and solutions in the field of cyberphysical systems security, and makes recommendations for supplementing existing approaches using new algorithms. The considered application of the neuroevolutionary algorithm of NeuroEvolution of Augmenting Topology using a hypercube for the analysis of multivariate time series describing the state of cyberphysical systems in order to identify abnormal conditions. After the modification, the algorithm allows almost completely configuring the target neural network without user intervention according to the specified parameters, including additionally creating intermediate network layers that were previously unavailable in the primary version of the algorithm. The method is verified on the TON_IOT DATASETS dataset. The system topology is the structure of the Internet of Things. The data are relevant, verified and correct, which allows them to be used for analysis and assessment of the accuracy of the approach under consideration. The obtained overall accuracy, proximity of solutions, values of False Positive Rate and False Negative Rate indicate the lack of retraining of the model and the high reliability of this method for detecting attacks in cyberphysical systems


2021 ◽  
Vol 2094 (4) ◽  
pp. 042036
Author(s):  
A V Shukalov ◽  
D A Zakoldaev ◽  
I O Zharinov ◽  
O O Zharinov

Abstract The cyber-physical production base technologies are control, computing and connection being applied altogether in the industrial object technological processes automatic regulation systems. They use control technologies in multi-loops and multi-channel regulation systems forming a hierarchy structure. Automatics functional elements unite in the intermediary regulation scheme stabilizing hierarchy control objects, which states are detected with sensors. Computing technologies are used in the cyber-physical production imitation virtual environment and provide processes simulation based on control models and cyber-physical systems digital twins structured in hierarchy levels. The regulation accuracy increase is provided with physical and model processes results comparison detecting non-definition factors acting production processes accuracy. The communication technology is used for the cyber-physical systems net information exchange given with the Internet of Things parameters. The cyber-physical systems continuous work in the non-ideal communication net regulation interval is provided with preventive control signals compensating operation and information delay of automatic conveyor lines. There is a scheme given of multi-loop and multi-channel automatic cyber-physical production using control objects hierarchy based on cyber-physical systems hierarchy and item manufacturing technological tasks.


Author(s):  
Igor Pitukh

The article analyzes the world level of software and hardware development of control, monitoring and management of complex distributed industrial and environmental facilities. The prospects of development and application of cyberphysical systems on the basis of the methodology of their organization offered by professor AO are noted. Miller. The urgency of solving the problem of synthesis of the theory, methodology and practice of IRKS construction by improving the architectures and data exchange systems of monitoring, interactive and dialogic RKS is emphasized. Based on the emergence criterion proposed by J. Martin, an improved criterion for estimating the emergence of the IRKS data node by taking into account the ratio of the number of reads to the number of data records is proposed. A method for estimating emergence based on the proposed classification of their architectures has been developed. The analysis of advantages and functional limitations of intellectual level of existing RKS architectures is carried out. The proposed architecture of a multilevel star-ring optical sensor network functionally and hardware-adapted to the conditions of application in landscape areas of nature reserves is given.


Computer ◽  
2021 ◽  
Vol 54 (9) ◽  
pp. 15-24
Author(s):  
James Bret Michael ◽  
Doron Drusinsky ◽  
Duminda Wijesekera

Computer ◽  
2021 ◽  
Vol 54 (9) ◽  
pp. 25-29
Author(s):  
James Bret Michael ◽  
Doron Drusinsky ◽  
Duminda Wijesekera

Computer ◽  
2021 ◽  
Vol 54 (9) ◽  
pp. 49-58
Author(s):  
Guangyao Chen ◽  
Zhihao Jiang

Computer ◽  
2021 ◽  
Vol 54 (9) ◽  
pp. 30-38
Author(s):  
Ziquan Deng ◽  
Zhaodan Kong

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