An intelligent operational supervision system for operability and reliability analysis of operators manual actions in task implementation

Yang, Jun; Xue, You; Dai, Xinyu; Liu, Hongxing; Yang, Ming

doi:10.1016/j.psep.2021.12.023

Cited by 9 publications

(2 citation statements)

References 39 publications

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“…Among them, traffic monitoring systems can assist traffic managers to deal with various traffic accidents effectively and quickly. Traditional traffic video surveillance systems generally use a large number of human assistances, the workload involved is large, but also more prone to errors [3]. First, motor vehicles have various behaviors on the road, and the complexity of the traffic scene makes the task of traffic violation identification extremely challenging.…”

Section: Introductionmentioning

confidence: 99%

Method for Identifying Motor Vehicle Traffic Violations Based on Improved YOLOv Network

Hao

2023

SCPE

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The use of traditional manual supervision means to deal with motor vehicle traffic safety violations can result in a large amount of wasted manpower and oversight problems. To assist road managers in better directing traffic order and managing traffic situations, the study proposes an improved target tracking network model. Simple online real-time tracking, deep correlation metrics, and cascading open-source computer vision libraries are combined to create a tracking model for motor vehicle traffic infraction recognition. Pursuant to the experimental findings, the Institute’s upgraded target recognition network model had accuracy and recall rates of 95.7% and 99.7%, respectively, with an accuracy rate of 16.6% higher than the model’s historical counterpart. The recognition accuracy of the constructed motor vehicle traffic violation recognition and tracking model regarding the three basic traffic violations was 98.2%, 98.7%, and 97.9%, respectively; the missed detection rate was 2.0%, 0.31%, and 2.1%, respectively; and the false detection rate was 0.17%, 0.31%, and 0%, respectively. It shows that the improved network model of the study is advanced and the motor vehicle traffic offence model has a good recognition rate and stable performance, which can assist traffic managers in their operations to a certain extent.

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Section: Introductionmentioning

confidence: 99%

Method for Identifying Motor Vehicle Traffic Violations Based on Improved YOLOv Network

Hao

2023

SCPE

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“…In addition, assessing the functional safety of the cyber-physical systems involves machine learning methods 25 – 27 . This trend is due to the need to automate the process of detecting in the logs with the results of the operation of the target system of features characteristic of known types of vulnerabilities.…”

Section: Introductionmentioning

confidence: 99%

The functional safety assessment of cyber-physical system operation process described by Markov chain

Kovtun

Izonin

Greguš

2022

Sci Rep

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The functional safety assessment is one of the primary tasks both at the design stage and at the stage of operation of critical infrastructure at all levels. The article's main contribution is the information technology of calculating the author's metrics of functional safety for estimating the instance of the model of the cyber-physical system operation. The calculation of metric criteria analytically summarizes the results of expert evaluation of the system in VPR-metrics and the results of statistical processing of information on the system's operation presented in the parametric space Markov model of this process. The advantages of the proposed approach are the following: the need to process orders of magnitude less empirical data to obtain objective estimates of the investigated system; taking into account the configuration scheme and architecture of the security subsystem of the investigated system when calculating the metric; completeness, compactness, and simplicity of interpretation of evaluation results; the ability to assess the achievability of the limit values of the metric criteria based on the model of operation of the investigated system. The paper demonstrates the application of the proposed technology to assess the functional safety of the model of a real cyber-physical system.

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Application of Data-Driven technology in nuclear Engineering: Prediction, classification and design optimization

Hong,

Jun,

et al. 2023

Annals of Nuclear Energy

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An intelligent operational supervision system for operability and reliability analysis of operators manual actions in task implementation

Cited by 9 publications

References 39 publications

Method for Identifying Motor Vehicle Traffic Violations Based on Improved YOLOv Network

Method for Identifying Motor Vehicle Traffic Violations Based on Improved YOLOv Network

The functional safety assessment of cyber-physical system operation process described by Markov chain

Application of Data-Driven technology in nuclear Engineering: Prediction, classification and design optimization

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