• Journal of ILASS-Korea
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• v.25 no.3
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• pp.103-110
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• 2020

In this study, the behavior of water droplet impacting on a thin horizontal wire was visualized by time-delay photography. The impact behavior modes, critical capture speed and trapped mass were analyzed by changing the droplet size, velocity, wire diameter and eccentricity ratio. As the Weber number increased, the hanging, merging, and splitting modes appeared sequentially for the case of central impact, and the hanging and non-splitting modes appeared for the case of off-center impact. The boundary We number of each mode was affected by the diameter ratio. The critical capture speed was affected much by the degree of eccentricity. For all diameter ratios, it was higher for the case of central impact than for off-center impact. The trapped mass was larger for the case of central impact than for off-center impact and it increased with the smaller We number and the larger diameter ratio.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.2
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• pp.514-521
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• 2021

When calculating an intersection collision speed using a formula, it is very difficult to grasp the degree of deceleration of a vehicle after the collision unless there is road surface trace in the entire section where each vehicle moved from the point of collision to their final positions after the collision. A vehicle's motion trajectory shows an irregular curve after a collision due to the effects of inertia based on the driving characteristics of the vehicle, the eccentric force according to the collision site, and the collision speed. Therefore, it is very important to set the appropriate departure angle after a collision for accurate collision speed analysis. In this study, based on experimental collision data using a computer simulation (PC-Crash), the correlation between an appropriate vehicle departure angle and the post-collision speed was analyzed, and then, a regression analysis model was derived. Through this, we propose a method to calculate collision speed by applying only the vehicle departure angle in some types of collisions for traffic accidents at intersections.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.6 no.3
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• pp.71-76
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• 2007

The fatalities of pedestrian account for about 40.0% of all fatalities in Korea 2005. Vehicle-Pedestrian accident generates trajectory of pedestrian. In pedestrian involved accident, the most important data to inspect accident is throw distance of pedestrian. The throw distance of pedestrian can be influenced by many variables. The variables that influence trajectory of pedestrian can be classified into vehicular factors, pedestrian factors, and road factors. Vehicular factors are the frontal shape of vehicle, impact speed of vehicle, the offset of impact point. Many studies have been done about the relation between impact speed and throw distance of pedestrian. But the influence of the offset of impact point was neglected. The influence of the offset of impact point was analyzed by Working Model, and the trajectory of pedestrian, dynamic characteristics of multi-body were analyzed by PC-CRASH, a kinetic analysis program for a traffic accident. Based on the results, the increase of offset reduced the throw distance of pedestrian. However box type vehicle just like bus, the offset of impact point did not influence the throw distance of pedestrian considerably.

• Journal of The Korean Society of Integrative Medicine
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• v.10 no.1
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• pp.61-72
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• 2022

Purpose : This study was to verify the effect of eccentric training and suggest a specific application method by comparing the effects of acromohumeral distance (AHD), supraspinatus tendon thicknees (STT), pain intensity and functional performance after MWM and eccentric training (MWM-ET) or general exercise (MWM-GE) in chronic subacromial impingement syndrome (SAIS) patients. Methods : A total of 55 participants were randomly assigned to each group, and according to the intervention method, "MWM-ET group (n=28)" vs. "MWM-GE group (n=27)" was divided into two groups. AHD, STT, pain intensity, and functional performance were measured before intervention, and both groups were re-measured 3 times a week after 6 weeks of intervention in the same way. Results : The AHD was significantly increased in MWM-ET group compared to MWM-GE group. No significant difference was observed between the groups in the STT, but Pain intensity was significantly lower in MWM-ET group than in MWM-GE group, and functional performance was significantly increased in MWM-ET group compared to MWM-GE group. Conclusion : As a result of MWM-ET intervention that further increases AHD compared to MGE, it can be clinically presented as a more effective intervention method for faster recovery from injury due to pain reduction and smooth return to daily life due to improved functional performance.

• Journal of The Korean Society of Integrative Medicine
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• v.10 no.4
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• pp.219-228
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• 2022

Purpose : The purpose of this study was to suggest a more effective method by comparing the effects of changes in pain intensity, muscle strength, and athletic performance after applying a 6-week eccentric training program (ET-MWM) or concentric training program (CT-MWM) with MWM for high school baseball players with shoulder internal impingement (SII). Methods : A total of 75 participants were randomly assigned to each group and divided into two groups, "ET-MWM group (n=35)" and "CT-MWM group (n=32)" according to the intervention method. Pain intensity, muscle strength (external rotation, internal rotation), and athletic performance were first measured before the intervention, and after the intervention 3 times a week for a total of 6 weeks, both groups were re-measured in the same way. Visual analog scale (VAS) was used for pain intensity, biodex dynamometer for muscle strength (60 °/sec.), and Kerlan-Jobe orthopedic clinic shoulder & elbow score (K-KJOC) for athletic performance. Results : As a result of analyzing the homogeneity of the pre-intervention characteristics and initial measurement variables of the study subjects, there was no significant difference between the two groups in all variable values. Pain intensity (VAS) was significantly reduced in the ET-MWM group than in the CT-MWM group (p<.05). In addition, the maximum muscle strength of external rotation & internal rotation of the shoulder (60 °/sec.) and athletic performance (K-KJOC) were significantly increased in the ET-MWM group than in the CT-MWM group (p<.05). Conclusion : Compared with the CT-MWM training program, the ET-MWM training program reduced shoulder joint pain and further increased the muscle strength required for throwing motion in high school baseball players. As the result showed better athletic performance improvement, the ET-MWM training program can be clinically recommended as a more effective intervention.

• Journal of the Korea institute for structural maintenance and inspection
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• v.26 no.2
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• pp.28-36
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• 2022

As port structures are exposed to various extreme external loads such as wind (typhoons), sea waves, or collision with ships; it is important to evaluate the structural safety periodically. To monitor the port structure, especially the rubber fender, a fender segmentation system using a vision sensor and deep learning method has been proposed in this study. For fender segmentation, a new deep learning network that improves the encoder-decoder framework with the receptive field block convolution module inspired by the eccentric function of the human visual system into the DenseNet format has been proposed. In order to train the network, various fender images such as BP, V, cell, cylindrical, and tire-types have been collected, and the images are augmented by applying four augmentation methods such as elastic distortion, horizontal flip, color jitter, and affine transforms. The proposed algorithm has been trained and verified with the collected various types of fender images, and the performance results showed that the system precisely segmented in real time with high IoU rate (84%) and F1 score (90%) in comparison with the conventional segmentation model, VGG16 with U-net. The trained network has been applied to the real images taken at one port in Republic of Korea, and found that the fenders are segmented with high accuracy even with a small dataset.