scholarly journals Simulation-based reconstruction of traffic incidents from moving vehicle mono-camera

Author(s):  
Eduard Kolla ◽  
Veronika Adamová ◽  
Peter Verta
2013 ◽  
Vol 313-314 ◽  
pp. 1092-1095 ◽  
Author(s):  
Pei Cheng Shi ◽  
Tao Fang

In order to achieve the dynamic simulation of vehicle clutch, the paper calculated the dynamic parameters of the locking and sliding process of vehicle clutch and established a Matlab/Simulink simulation model which can describe the revolution state of vehicle clutch. Also, it analyzed the dynamic behavior of clutch locking and sliding process. The research illustrates that the simulation model can correctly describe the dynamics of moving vehicle with combining and separating process of the clutch, and the dynamic simulation analysis reflects the alternation of clutch locking and slipping process more intuitively than the static model. Moreover, the method provides a reference for the dynamic control and integral optimization design of automatic clutch.


2020 ◽  
Vol 175 ◽  
pp. 340-348
Author(s):  
Siham Farrag ◽  
Moulay Youssef El-Hansali ◽  
Ansar Yasar ◽  
Elhadi M. Shakshuki

2009 ◽  
Vol 23 (2) ◽  
pp. 117-127 ◽  
Author(s):  
Astrid Wichmann ◽  
Detlev Leutner

Seventy-nine students from three science classes conducted simulation-based scientific experiments. They received one of three kinds of instructional support in order to encourage scientific reasoning during inquiry learning: (1) basic inquiry support, (2) advanced inquiry support including explanation prompts, or (3) advanced inquiry support including explanation prompts and regulation prompts. Knowledge test as well as application test results show that students with regulation prompts significantly outperformed students with explanation prompts (knowledge: d = 0.65; application: d = 0.80) and students with basic inquiry support only (knowledge: d = 0.57; application: d = 0.83). The results are in line with a theoretical focus on inquiry learning according to which students need specific support with respect to the regulation of scientific reasoning when developing explanations during experimentation activities.


2004 ◽  
Author(s):  
L. L. Kusumoto ◽  
◽  
R. M. Gehorsam ◽  
B. D. Comer ◽  
J. R. Grosse

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