scholarly journals Robustness Measure of China’s Railway Network Topology Using Relative Entropy

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Fenling Feng ◽  
Lei Wang
Keyword(s):  
Relative Entropy ◽  
Network Topology ◽  
Railway Network ◽  
Robustness Measure ◽  
Graph Measure

This study focused on China’s railway network topology issue from a robustness measure perspective. Relative entropy is used in the study as a measurement of robustness of railway network topology. It is found that the entropy-based measure provides more informative analyses compared to a traditional graph measure. The results indicate that the railway network in the 12th five-year plan has improved robustness when compare to 2008 with respect to deliberate and random attacks.

Twitter-based traffic delay detection based on topic propagation analysis using railway network topology

2019 ◽  
Vol 23 (2) ◽  
pp. 233-247
Author(s):  
Yuanyuan Wang ◽  
Panote Siriaraya ◽  
Yukiko Kawai ◽  
Toyokazu Akiyama
Keyword(s):  
Network Topology ◽  
Railway Network ◽  
Delay Detection ◽  
Propagation Analysis ◽  
Traffic Delay

The Vulnerability Assessment Method of Railway Network

2010 ◽  
Author(s):  
Wei Wang ◽  
Jun Liu ◽  
Li Haiying ◽  
Xi Jiang
Keyword(s):  
Transport System ◽  
Network Topology ◽  
Dynamic Process ◽  
Vulnerability Assessment ◽  
System Performance ◽  
Assessment Method ◽  
Level Of Service ◽  
Railway Network ◽  
Railway System ◽  
Integral Element

Vulnerability in the Railway system is, studied not only from the perspective of network topology characteristic but also as the problem of the level of service relative to structure, nature damage and traffic attribute. Also, emphasis is put on the function of the system rather than the physical network itself, although some of non-serviceability in the railway network is indeed caused by physical failures. The Vulnerability of railway network is thus a decisive factor not only in terms of connectivity, and serviceability, but also in terms of the transport system performance under dynamic process-traffic which should be acknowledged as an integral element within vulnerability assessment. The paper aims at investigating the most typical factors that affect the vulnerability. The vulnerability analysis must consider each factor separately, and, at the same time, as a whole. A method to measure the vulnerability is proposed. Furthermore, this assessment method is used to analyze the Chinese Railway Network (CRN).

scholarly journals Development of Rational Rail Network Topology for High-Speed and Conventional Trains Based on Bacterial Foraging Optimization

2018 ◽  
Vol 7 (4.3) ◽  
pp. 217 ◽  
Author(s):  
Sergii Panchenko ◽  
Tatyana Butko ◽  
Аndrii Prokhorchenko ◽  
Larisa Parkhomenko ◽  
Oleg Zhurba
Keyword(s):  
Mathematical Model ◽  
Network Topology ◽  
High Speed ◽  
Flow Distribution ◽  
Bacterial Foraging Optimization ◽  
Railway Network ◽  
Transportation Demand ◽  
Bacterial Foraging ◽  
Passenger Trains ◽  
The Mathematical Model

Development of projects on higher speeds of passenger trains on the world railways requires investigation into the balanced combination of routes for high-speed and conventional trains considering railway network topology. The objective of the study is consideration of railway network peculiarities regarding transportation demand by designing a mathematical model to find an optimal passenger train flow distribution. In order to formalize the process of a simultaneous search for the rail passenger network topology and determination of the most probable distribution within the formed train flow network for high-speed and conventional trains it has been proposed to use a criterion as a system entropy adapted to the rail passenger-oriented transportation. The concept of entropy is based on isomorphism in systems, which allows monitoring and implementing the link between a micro and macro level in the passenger transportation system. To solve the mathematical model the authors have used an optimization method based on Bacterial Foraging Optimization (BFO). The implementation of the mathematical model based on BFO will make it possible to theoretically substantiate the efficiency of existing and promising projects on higher speeds of passenger trains on the rail transport regarding adaptation of the network topology to transportation demand.  

Manchoukuo Completes Strategic Railway Network

1937 ◽  
Vol 6 (7) ◽  
pp. 79-80
Author(s):  
J. R. S.
Keyword(s):  
Railway Network

Efficient Steganography Algorithm Based On DCT And Entropy Thresholding Technique

2018 ◽  
Vol 8 (1) ◽  
pp. 45
Author(s):  
Satvir Singh
Keyword(s):  
Relative Entropy ◽  
Experimental Work ◽  
Random Function ◽  
Signal To Noise Ratio ◽  
Binary Sequence ◽  
Threshold Value ◽  
Absolute Difference ◽  
Secret Message ◽  
Signal To Noise ◽  
Confidential Information

Steganography is the special art of hidding important and confidential information in appropriate multimedia carrier. It also restrict the detection of  hidden messages. In this paper we proposes steganographic method based on dct and entropy thresholding technique. The steganographic algorithm uses random function in order to select block of the image where the elements of the binary sequence of a secret message will be inserted. Insertion takes place at the lower frequency  AC coefficients of the  block. Before we insert the secret  message. Image under goes dc transformations after insertion of the secret message we apply inverse dc transformations. Secret message will only be inserted into a particular block if  entropy value of that particular block is greater then threshold value of the entropy and if block is selected by the random function. In  Experimental work we calculated the peak signal to noise ratio(PSNR), Absolute difference , Relative entropy. Proposed algorithm give high value of PSNR  and low value of Absolute difference which clearly indicate level of distortion in image due to insertion of secret message is reduced. Also value of  relative entropy is close to zero which clearly indicate proposed algorithm is sufficiently secure. 

Passive mode discovery of network topology

2014 ◽  
Author(s):  
Lisheng Huang ◽  
Mingyong Yin ◽  
Changchun Li ◽  
Xin Wang
Keyword(s):  
Network Topology ◽  
Passive Mode
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