scholarly journals BeiDou Code Pseudorange Precision Estimation and Time Correlation Analysis from Trimble Net-R9 and ComNav 708 Receivers

2018 ◽  
Vol 10 (7) ◽  
pp. 1083
Author(s):  
Hong Hu ◽  
Shuanggen Jin ◽  
Ruihong Kang ◽  
Xinyun Cao
Keyword(s):  
Correlation Analysis ◽  
Time Correlation ◽  
Precision Estimation ◽  
Code Pseudorange

Scanless nonlinear optical microscope for image reconstruction and space-time correlation analysis

2017 ◽  
Author(s):  
N. G. Ceffa ◽  
F. Radaelli ◽  
P. Pozzi ◽  
M. Collini ◽  
L. Sironi ◽  
...  
Keyword(s):  
Image Reconstruction ◽  
Correlation Analysis ◽  
Nonlinear Optical ◽  
Time Correlation ◽  
Optical Microscope ◽  
Space Time

scholarly journals G-CAS: Greedy Algorithm-Based Security Event Correlation System for Critical Infrastructure Network

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Peng Lu ◽  
Teng Hu ◽  
Hao Wang ◽  
Ruobin Zhang ◽  
Guo Wu
Keyword(s):  
Correlation Analysis ◽  
Real Time ◽  
Greedy Algorithm ◽  
Critical Infrastructure ◽  
Time Correlation ◽  
Event Analysis ◽  
Event Correlation ◽  
Security Threat ◽  
Real Time Analysis ◽  
Infrastructure Network

The attacks on the critical infrastructure network have increased sharply, and the strict management measures of the critical infrastructure network have caused its correlation analysis technology for security events to be relatively backward; this makes the critical infrastructure network’s security situation more severe. Currently, there is no common correlation analysis technology for the critical infrastructure network, and most technologies focus on expanding the dimension of data analysis, but with less attention to the optimization of analysis performance. The analysis performance does not meet the practical environment, and real-time analysis is even more impossible; as a result, the efficiency of security threat detection is greatly declined. To solve this issue, we propose the greedy tree algorithm, a correlation analysis approach based on the greedy algorithm, which optimizes event analysis steps and significantly improves the performance, so the real-time correlation analysis can be realized. We first verify the performance of the algorithm through formalization, and then the G-CAS (Greedy Correlation Analysis System) is implemented based on this algorithm and is applied in a real critical infrastructure network, which outperformed the current mainstream products.

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