scholarly journals Single-Vehicle Transportation Security System of Radioactive Materials Based on Group Relationship to Prevent Loss and Theft

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Tiejun Zeng ◽  
Xiaohua Yang ◽  
Yaping Wan ◽  
Zhenghai Liu ◽  
Panpan Jiang
Keyword(s):  
Site Response ◽  
Failure Detection ◽  
Detection Algorithm ◽  
Security System ◽  
Security Requirements ◽  
Radioactive Materials ◽  
Measurement Results ◽  
Single Vehicle ◽  
Push Model ◽  
Network Relationship

For loss and theft in the transport of radioactive materials by a single vehicle, this article summarizes the characteristics of “illegal movement” and establishes a security system that senses its inter-relationship and responds though the group network relationship. The security system reminds the vehicle crew through on-site response and linkage response. A failure detection method for on-site response is proposed, that is, the push model is used first, and when the measurement results are suspected, the pull model is used to further confirm the failure. The failure detection for linkage response adopts the push model. According to the different security requirements of the basic and enhanced transportation, the principle of setting the timeout threshold in the failure detection algorithm is proposed. In the enhanced type, the value is smaller, otherwise the value is larger. A specific timeout threshold quantification scheme is proposed. Experiments show that the method proposed in this article is effective.

Application of Image Analysis Based on Canny Operator Edge Detection Algorithm in Measuring Railway Out-of-Gauge Goods

2014 ◽  
Vol 912-914 ◽  
pp. 1172-1176 ◽  
Author(s):  
Yong Han ◽  
Mu Qiao ◽  
Xue Wan ◽  
Qing Chang
Keyword(s):  
Edge Detection ◽  
Measurement Errors ◽  
Detection Algorithm ◽  
Digital Measurement ◽  
Contour Extraction ◽  
Mathematical Software ◽  
Canny Operator ◽  
Edge Detection Algorithm ◽  
Measurement Results ◽  
Transport Safety

In order to guarantee out-of-gauge freight transport safety, it is necessary to study digital measurement to improve measuring accuracy for out-of-gauge goods which is very difficult to master outline dimension. The process of edge detection and the algorithm of canny operator edge detection were introduced in this paper. Taking the transformer for example, contour extraction was carried out on the end and the widths of transverse and longitudinal height are measured through the mathematical software MATLAB. Finally, measurement results are validated based on the known data. The results showed that canny operator has high calculate precision, and the closer to the part calibrated with pixel calibration, smaller the measurement errors are.

An autonomic failure-detection algorithm

2004 ◽  
Author(s):  
K. Mills ◽  
S. Rose ◽  
S. Quirolgico ◽  
M. Britton ◽  
C. Tan
Keyword(s):  
Autonomic Failure ◽  
Failure Detection ◽  
Detection Algorithm

Numerical Simulation of Partial Flame Failure in Gas Turbine Engine

2007 ◽  
Author(s):  
V. Panov ◽  
M. K. D. Smith
Keyword(s):  
Mathematical Model ◽  
Numerical Simulations ◽  
Failure Detection ◽  
Combustion Products ◽  
Detection Algorithm ◽  
Operating Conditions ◽  
Engine Test ◽  
Combustion System ◽  
Turbine Engine ◽  
Model Features

A mathematical model for the simulation of engine start-up thermodynamics has been developed and validated against engine test data. This numerical model has been validated using engine test results for both single and multiple combustor flameouts, and reasonable agreement between test and simulation data has been observed. Numerical simulations have then been generated for flameout cases that have not been available from engine tests, such as flame failure in different combinations of combustors, and at different engine operating conditions. The mathematical model features object modeling of engine components with three gas compositions, being air, fuel, and combustion products. The combustion system has been represented by six combustors, and the gas stream from each combustor has been divided according to the number of the gas path thermocouples downstream from the combustion system. The effects of heat transfer within the combustors and turbine have been modeled. Two sets of thermocouples have been considered, the first being thermocouples installed in multiple combustor burners, and the second being an array of thermocouple probes which are circumferentially positioned in the engine hot gas path. All thermocouples have been modeled as first order dynamic systems. The numerical simulations have been successfully used to support development of a new partial flame failure detection method, which is based on the combined measurements from both sets of thermocouples. A range of numerical simulations have been conducted in order to assess the ability of this new detection algorithm to detect different partial flame failure scenarios, and to examine the sensitivity of the detection algorithm with respect to thermocouples faults.

scholarly journals Research on a Fast Human-Detection Algorithm for Unmanned Surveillance Area in Bulk Ports

2014 ◽  
Vol 2014 ◽  
pp. 1-17 ◽  
Author(s):  
Chao Mi ◽  
Xin He ◽  
Haiwei Liu ◽  
Youfang Huang ◽  
Weijian Mi
Keyword(s):  
Real Time ◽  
Computing Time ◽  
Training Sample ◽  
Detection Algorithm ◽  
Human Detection ◽  
Security Requirements ◽  
Support Vector ◽  
Svm Classifier ◽  
Histograms Of Oriented Gradients ◽  
Heavy Equipment

With the development of port automation, most operational fields utilizing heavy equipment have gradually become unmanned. It is therefore imperative to monitor these fields in an effective and real-time manner. In this paper, a fast human-detection algorithm is proposed based on image processing. To speed up the detection process, the optimized histograms of oriented gradients (HOG) algorithm that can avoid the large number of double calculations of the original HOG and ignore insignificant features is used to describe the contour of the human body in real time. Based on the HOG features, using a training sample set consisting of scene images of a bulk port, a support vector machine (SVM) classifier combined with the AdaBoost classifier is trained to detect human. Finally, the results of the human detection experiments on Tianjin Port show that the accuracy of the proposed optimized algorithm has roughly the same accuracy as a traditional algorithm, while the proposed algorithm only takes 1/7 the amount of time. The accuracy and computing time of the proposed fast human-detection algorithm were verified to meet the security requirements of unmanned port areas.

Research on Micro-Certificate Based Security System for Internet of Things

2012 ◽  
Vol 263-266 ◽  
pp. 3125-3129
Author(s):  
Li Ping Du ◽  
Ying Li ◽  
Guan Ning Xu ◽  
Fei Duan
Keyword(s):  
Internet Of Things ◽  
Large Scale ◽  
Rapid Development ◽  
Security System ◽  
Security Requirements ◽  
Full Account ◽  
Chip Technology ◽  
Cryptographic Algorithms ◽  
Encryption Decryption ◽  
The Internet Of Things

The rapid development of internet of things puts forward urgent needs for security. The security system must be studied to adapt to the characteristics of the internet of things. The micro- certificate based security system for internet of things takes full account of the security characteristics of things, and uses the symmetric cryptographic algorithms and security chip technology. This security system can meet the security requirements for large-scale sensor’s authentication, signification and encryption/decryption in internet of things, and improve the security performance of internet of things greatly.

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