Temporal Evolution Characteristics of CCD Detector Based on Different Laser Loading Methods

2019 ◽  
Vol 40 (6) ◽  
pp. 788-794
Author(s):  
韩 敏 HAN Min ◽  
聂劲松 NIE Jin-song ◽  
豆贤安 DOU Xian-an ◽  
王 玺 WANG Xi ◽  
孙 可 SUN Ke
Keyword(s):  
Temporal Evolution ◽  
Evolution Characteristics ◽  
Ccd Detector ◽  
Loading Methods

Temporal evolution characteristics and damage threshold of CCD detector irradiated by 1.06-μm continuous laser

Optik ◽  
2018 ◽  
Vol 157 ◽  
pp. 1282-1291 ◽  
Author(s):  
Min Han ◽  
Xi Wang ◽  
Jinsong Nie ◽  
Ke Sun ◽  
Mingxin Zhang
Keyword(s):  
Temporal Evolution ◽  
Damage Threshold ◽  
Continuous Laser ◽  
Evolution Characteristics ◽  
Ccd Detector

scholarly journals Connected model for opportunistic sensor network based on Katz centrality

2017 ◽  
Vol 14 (3) ◽  
pp. 735-750
Author(s):  
Jian Shu ◽  
Lei Xu ◽  
Shandong Jiang ◽  
Lingchong Meng
Keyword(s):  
Network Performance ◽  
Temporal Evolution ◽  
Network Connectivity ◽  
Important Indicator ◽  
Time Graph ◽  
Evolution Characteristics ◽  
Connectivity Model ◽  
Katz Centrality ◽  
Connectivity Degree ◽  
Computing Method

Connectivity is an important indicator of network performance. But the opportunistic sensor networks (OSNs) have temporal evolution characteristics, which are hard to modelled with traditional graphs. After analyzing the characteristics of OSNs, this paper constructs OSNs connectivity model based on time graph theory. The overall connectivity degree of the network is defined, and is used to estimate actual network connectivity. We also propose a computing method that uses the adjacency matrix of each snapshot. The simulation results show that network connectivity degree can reflect the overall connectivity of OSNs, which provide a basis for improving the OSNs performance.

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