A blind pixel dynamic detection method for IRFPA towards point target (Conference Presentation)

Author(s):  
Liangjie Jia ◽  
Peng Rao ◽  
Xin Chen
2021 ◽  
Author(s):  
Feng’an Zhao ◽  
Gangfeng Tan ◽  
Bin Luo ◽  
Wenchao Sun ◽  
Jiaming Feng ◽  
...  

2016 ◽  
Vol 45 (5) ◽  
pp. 0526001
Author(s):  
田岳鑫 Tian Yuexin ◽  
高 昆 Gao Kun ◽  
刘 莹 Liu Ying ◽  
卢 岩 Lu Yan ◽  
倪国强 Ni Guoqiang

2012 ◽  
Vol 605-607 ◽  
pp. 1031-1037
Author(s):  
Li Hui Yu ◽  
Li Rong Wang

In this paper, we discussed a method of dynamic detection for clutch of real vehicle based on RFID technology. Clutch is a key component in vehicle. It ensures smooth start and shift and prevents overload of transmission system. Traditional detection method is to measure on a simulated working table. But the combining process of start and shift in bad condition can bring other troubles which lead to possible damage and reduce the service life of clutch. So, it is very important to detect Clutch of real vehicle in real time. Firstly, we discussed clutch of real vehicle important parameter. Secondly, a wireless transmission method is provided by RFID. Finally, a simulation results is given.


2013 ◽  
Vol 459 ◽  
pp. 136-143 ◽  
Author(s):  
Xiao Dong Chai ◽  
Shu Bin Zheng ◽  
Wen Fa Zhu ◽  
Qi Zhen Jiang

Aim at the route deformation of rail state, a non-contact dynamic detection method based on trap-down inertial technology, was studied. Further study on integrated acceleration and real-time update of attitude matrix was made to put forward a proper solution. By experimental verification, this method is feasible and the error is within 5mm.


2014 ◽  
Vol 519-520 ◽  
pp. 309-312 ◽  
Author(s):  
Jin Rong Bai ◽  
Zhen Zhou An ◽  
Guo Zhong Zou ◽  
Shi Guang Mu

Dynamic detection method based on software behavior is an efficient and effective way for anti-virus technology. Malware and benign executable differ mainly in the implementation of some special behavior to propagation and destruction. A program's execution flow is essentially equivalent to the stream of API calls. Analyzing the API calls frequency from six kinds of behaviors in the same time has the very well differentiate between malicious and benign executables. This paper proposed a dynamic malware detection approach by mining the frequency of sensitive native API calls and described experiments conducted against recent Win32 malware. Experimental results indicate that the detection rate of proposed method is 98% and the value of the AUC is 0.981. Furthermore, proposed method can identify known and unknown malware.


2018 ◽  
Vol 48 (4) ◽  
pp. 20180071
Author(s):  
Chen Guang Liu ◽  
Zong Lin Wang ◽  
Qing Fei Gao ◽  
Yong Sun

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