A quantitative survivability test method in the large scale network based on SD

2013 ◽  
Author(s):  
Ming Liang ◽  
Miao Qing ◽  
Wang Dongxia
Keyword(s):  
Large Scale ◽  
Test Method ◽  
Large Scale Network ◽  
Scale Network

Research of Test Method for the Robustness of Large-Scale Network Control Software

2014 ◽  
Vol 602-605 ◽  
pp. 1499-1502
Author(s):  
Xian Rui Jian
Keyword(s):  
Data Transmission ◽  
Large Scale ◽  
Network Control ◽  
Test Method ◽  
Harsh Environments ◽  
Link Failure ◽  
Control Software ◽  
Large Scale Network ◽  
High Bandwidth ◽  
Scale Network

How to test the communication robustness of high-bandwidth and low-latency network under harsh environments is critical for evaluating reliability of network. The accuracy of data transmitted by large-scale network control software under busy communication is fully verified in the paper, by means of the simulation to simulate uncertainty time and link failure phenomenon of data transmission occurs in the real application environment to complete the test of robustness for the large-scale network control software, which is useful for assessing the reliability of the network.

Large-Scale Network Analysis for Online Social Brand Advertising

MIS Quarterly ◽  
2016 ◽  
Vol 40 (4) ◽  
pp. 849-868 ◽  
Author(s):  
Kunpeng Zhang ◽  
◽  
Siddhartha Bhattacharyya ◽  
Sudha Ram ◽  
◽  
...  
Keyword(s):  
Network Analysis ◽  
Large Scale ◽  
Large Scale Network ◽  
Brand Advertising ◽  
Scale Network

Attention Biases Visual Activity in Visual Short-term Memory

2014 ◽  
Vol 26 (7) ◽  
pp. 1377-1389 ◽  
Author(s):  
Bo-Cheng Kuo ◽  
Mark G. Stokes ◽  
Alexandra M. Murray ◽  
Anna Christina Nobre
Keyword(s):  
Large Scale ◽  
Short Term Memory ◽  
Control Mechanisms ◽  
Top Down ◽  
Short Term ◽  
Visual Activity ◽  
Visual Short Term Memory ◽  
Large Scale Network ◽  
Visual Areas ◽  
Scale Network

In the current study, we tested whether representations in visual STM (VSTM) can be biased via top–down attentional modulation of visual activity in retinotopically specific locations. We manipulated attention using retrospective cues presented during the retention interval of a VSTM task. Retrospective cues triggered activity in a large-scale network implicated in attentional control and led to retinotopically specific modulation of activity in early visual areas V1–V4. Importantly, shifts of attention during VSTM maintenance were associated with changes in functional connectivity between pFC and retinotopic regions within V4. Our findings provide new insights into top–down control mechanisms that modulate VSTM representations for flexible and goal-directed maintenance of the most relevant memoranda.

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