A Novel Dynamic Detection Method of Impact Factor Considering Deterioration of Pavement Roughness

2018 ◽  
Vol 48 (4) ◽  
pp. 20180071
Author(s):  
Chen Guang Liu ◽  
Zong Lin Wang ◽  
Qing Fei Gao ◽  
Yong Sun
Keyword(s):  
Impact Factor ◽  
Detection Method ◽  
Pavement Roughness ◽  
Dynamic Detection

A Vehicle Dimensions Dynamic Detection Method Based on Image Recognition

2021 ◽  
Author(s):  
Feng’an Zhao ◽  
Gangfeng Tan ◽  
Bin Luo ◽  
Wenchao Sun ◽  
Jiaming Feng ◽  
...  
Keyword(s):  
Image Recognition ◽  
Detection Method ◽  
Dynamic Detection

Method of Dynamic Detection for Clutch of Real Vehicle Based on RFID Technology

2012 ◽  
Vol 605-607 ◽  
pp. 1031-1037
Author(s):  
Li Hui Yu ◽  
Li Rong Wang
Keyword(s):  
Service Life ◽  
Real Time ◽  
Detection Method ◽  
Transmission System ◽  
Wireless Transmission ◽  
Rfid Technology ◽  
Transmission Method ◽  
Simulation Results ◽  
Dynamic Detection ◽  
Real Vehicle

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.

Detection for Rail Route State Deformation Based on Trap-Down Inertial Technology

2013 ◽  
Vol 459 ◽  
pp. 136-143 ◽  
Author(s):  
Xiao Dong Chai ◽  
Shu Bin Zheng ◽  
Wen Fa Zhu ◽  
Qi Zhen Jiang
Keyword(s):  
Real Time ◽  
Experimental Verification ◽  
Detection Method ◽  
Proper Solution ◽  
Dynamic Detection ◽  
Time Update ◽  
Attitude Matrix

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.

Analysis and Discussion on Impact Factor to Asphalt Pavement Roughness of Airport

2013 ◽  
Vol 779-780 ◽  
pp. 510-515 ◽  
Author(s):  
Bao Hua Shi ◽  
Ya Men Zhang ◽  
Tao Sun ◽  
Yong Jie Wang
Keyword(s):  
Impact Factor ◽  
Asphalt Pavement ◽  
Asphalt Mixture ◽  
Control Measures ◽  
Construction Equipment ◽  
Impact Factors ◽  
Natural Factors ◽  
Pavement Roughness ◽  
Base Course

According to requirement of operation safety and comfort of airplane on the asphalt pavement of airport, the cause incurring unevenness is discussed subject to aspects of inherent unevenness of pavement, unsatisfied construction equipment and process, repeated action of airplane load during utilization process, and long term action of natural factors, etc; aiming at the requirement on how to improve the airport construction quality and guarantee asphalt pavement roughness, and on the basis of engineering examples of bad roughness of asphalt runway, the roughness impact factors are discussed by three aspects as uneven settling of earth foundation, unstable base course, relaxed construction control of topping asphalt mixture, etc , so as to take control measures with pertinence at each stage of airport construction, to guarantee the excellent roughness of asphalt pavement.

A Dynamic Malware Detection Approach by Mining the Frequency of API Calls

2014 ◽  
Vol 519-520 ◽  
pp. 309-312 ◽  
Author(s):  
Jin Rong Bai ◽  
Zhen Zhou An ◽  
Guo Zhong Zou ◽  
Shi Guang Mu
Keyword(s):  
Detection Rate ◽  
Detection Method ◽  
Malware Detection ◽  
Experimental Results ◽  
Detection Approach ◽  
Dynamic Detection

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.

Analysis on Impact Factor Spectrum for a Continuous Bridge under Normal Traffic Flow

2012 ◽  
Vol 594-597 ◽  
pp. 2792-2796
Author(s):  
Zeng Qian Fei ◽  
Tao Wang
Keyword(s):  
Impact Factor ◽  
Traffic Flow ◽  
Extreme Values ◽  
Dynamic Responses ◽  
Impact Factors ◽  
Dynamic Displacement ◽  
Pavement Roughness ◽  
Power Spectral ◽  
Low Pass ◽  
The Impact

Analysis was carried out for dynamic responses on a continuous bridge under normal traffic flow. The inspection, testing and analysis for the tested bridge mainly consist of the measurement of pavement roughness and analysis on power spectral density, the testing and analysis on natural vibration characteristics, the observation of traffic loads under normal traffic flow and the corresponding measurements of dynamic displacement and acceleration on bridge. To determine impact factors in terms of measured dynamic displacement responses, low pass Butterworth filter is used for filtering the dynamic part of measured dynamic displacement and the static extreme values are reserved. And then，the distribution fit test is performed using K-S methodology for measured impact factors according to Extreme-I type respectively. Finally, the impact factor of this bridge, which is determined based on statistical method, is compared with code-specified impact factors of different countries.

Road Flatness Detection Using Permutation Entropy (PE)

2014 ◽  
Vol 721 ◽  
pp. 420-423 ◽  
Author(s):  
Qing Chao Wang ◽  
Wan Qing Song ◽  
Jian Kai Liang
Keyword(s):  
Detection Method ◽  
Permutation Entropy ◽  
Data Array ◽  
The Road ◽  
Pavement Roughness ◽  
Road Roughness

Aimed at checking the signal’s nonlinearity and instability of road flatness, in order to get a more convenient and significant approach to verify the pavement smoothness, a road roughness detection method on the base of Permutation Entropy (PE) algorithm is put forward. This method firstly relevantly deals with the collecting road signals, then getting Permutation Entropy (PE), and reaches relevant drawing data array. By the use of Matlab drawing, the road roughness can be proved according to the PE. The experiment turns out that Permutation Entropy (PE) algorithm has an effective and convenient effect on checking road flatness, and it is more obvious to show pavement roughness compared the method of the Holder index.

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