• International Journal of Advanced Culture Technology
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• 제5권4호
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• pp.44-50
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• 2017

The topic of selection of a grammatical subject in a correlative conjunction phrase has long failed to attract the attention of linguists due to some difficulties not only in figuring out the internal structure of NP's conjoined by a correlative conjunction but also in its heavy dependency on the representational aspects each correlative conjunction demonstrates. In this paper, I have explored the seemingly complex patterns in the selection of a grammatical subject in a correlative conjunction phrase in the frame of the Optimality Theory (Prince & Smolensky 1993, 2008). I show that, with the help of three newly developed constraints such as MinDist, Focus, and PARSE which are ranked relatively to each other, an optimal grammatical subject out of two NP candidates conjoined by a correlative conjunction can be correctly selectable.

• 한국산업융합학회 논문집
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• 제25권5호
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• pp.853-859
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• 2022

In this study, we analyzed the instantaneous trajectory generation capability and target arrival rate of a mobile robot by changing the parameter of the TEB (Timed Elastic Band) Local Planner among local planners that affect the instantaneous obstacle avoidance ability of the mobile robot using ROS (Robot Operating System) simulation and real experience. As a result, we can expect a decrease in the target arrival time of the mobile robot through a decrease in the parameter values of the TEB Local Planner's min_obstacle_dist, inflation_dist, and penalty_epsilon. However, if this parameter is reduced too much, the risk of obstacle collision of the moving robot is increases, so it is important to combine the appropriate values to construct the parameter.

• 한국자동차공학회논문집
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• 제18권3호
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• pp.104-109
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• 2010

The fatality of pedestrian accounts for about 21.2% of all fatality at 2007 year in Korea. In car to pedestrian accident it is very important to inspect the throw distance of pedestrian after collision for exact reconstructing of the accident. The variables that influence on the throw distance of pedestrian can be classified into the factors of vehicle and pedestrian, and road condition. It was simulated by PC-CRASH, a kinetic analysis program for a traffic accident in sedan type vehicle and SPSS program was used for regression analysis. From the results, the throw distance of pedestrian increased with the increasing of vehicle velocity, and decreased with the increasing of impact offset. Also it decreased with the increasing of velocity of pedestrian at accident, and throw distance at the road condition of wet was longer than that at dry condition. Finally, the regression model of sedan type vehicle on the throw distance of pedestrian was as follows; $$dist_i=2.39-0.11offset_i+0.59speed_i-545height_i-0.25walk_i+2.78wet_i+{\epsilon}_i$$.