• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.14 no.1
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• pp.13-21
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• 2015

This study focuses on operational analysis of 2 types of intersection shared lanes. First, the analysis showed that a through & right-turn shared lane is always less used than the adjacent through-only lanes and as a result, operational efficiency deteriorates. To improve the efficiency fine-tuning in signal timing optimization using lane-by-lane traffic volume data is required. Further improvement can be achieved by guiding drivers to equally use the shared lane. For left-turn & U-turn shared lanes, it was found that saturation flow rate is affected by interference between U-turn and conflicting right-turn movements. However, since such interference does not occur in every cycle, a statistical model must be established to develop realistic adjustment factor for saturation flow rate of the shared lane.

• Journal of Korean Society of Transportation
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• v.20 no.1
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• pp.77-90
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• 2002

Network expansion has been an inevitable method for most traffic equilibrium assignments to consider intersection movements such as intersection delays. The drawback of network expansion is that because it dramatically increases network sizes to emulate possible directional movements as corresponding links, not only is complexities for building network amplified, but computational performance is shrunk. This paper Proposes a new variational inequality formulation for a user-optimal traffic equilibrium assignment model to explicitly consider directional delays without building expanded network structures. In the formulation, directional delay functions are directly embedded into the objective function, thus any modification of networks is not required. By applying a vine-based shortest Path algorithm into the diagonalization algorithm to solve the problem, it is additionally demonstrated that various loop-related movements such as U-Turn, P-Turn, etc., which are frequently witnessed near urban intersections, can also be imitated by blocking some turning movements of intersections. The proposed formulation expects to augment computational performance through reduction of network-building complexities.

• Journal of Acupuncture Research
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• v.24 no.6
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• pp.37-44
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• 2007

Objectives : The purpose of this study is to find out the effects of Chuna treatment on neck pain caused by traffic accidents. Methods : The 10 patients were divided into 2 groups, with Group A treated with Acupuncture and Chuna, while group B was treated with Acupuncture only. We measured the Visual Analog Scale(VAS), Pain Disability Index(PDI) and Pressure Pain Thresholds before and after treatment in each group. The statistical analysis was performed by using a Mann-Whitney U test and Wilcoxon signed rank test. Results : 1. Group A showed significant improvements in VAS, PDI and Pressure Pain Thresholds(p<0.05). 2. Group B was significantly improved in VAS(p<0.05). However, there was no statistical significance in PDI and Pressure Pain Thresholds(p>0.05). 3. There was no statistical significance between Group A and Group B before and after treatment. Conclusions : These results imply that Chuna treatment with Acupuncture would beeffective and useful on the neck pain caused by traffic accidents.

• Journal of Acupuncture Research
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• v.33 no.3
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• pp.189-195
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• 2016

Objectives : The aim of this study was to compare improvement according to the hospitalization period of patients with neck pain as a result of traffic accidents. Methods : Patients of 59 cases with neck pain induced by traffic accidents were investigated. Based on their hospitalization period, 59 subjects were divided into two groups: A group with a shorter hospitalization period and B group with a longer hospitalization period. Each group was treated by the same therapies including acupuncture, pharmacopuncture, and herbal medicine. To compare the treatment effects of the two groups, the Visual Analog Scale(VAS) was used. Statistical analysis between two groups was assessed using the chi-square test, Mann-Whitney U Test and paired t-test through the SPSS 12.0 Windows program. Results : After admission treatment, both A and B group showed a significant decrease in their VAS scores. In addition, B group, of which the hospitalization period was longer than A group, showed a significant improvement in comparison to A group in its VAS score. Conclusion : This study suggests that pain control is more effectively achieved in patients that received more than 8 days of admission treatment compared to those who received less than 7 days of admission treatment.

• Journal of KIISE:Computer Systems and Theory
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• v.26 no.3
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• pp.363-370
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• 1999

본 연구는 멀티미디어 서비스를 무선 ATM 환경에서 지원하기 위한 WATM MAC프로토콜을 제안하였다. 무선 환경에서는 값비싼 무선 자원을 효율적으로 사용하여 ATM 서비스가 요구하는 QoS를 만족시키는 것이 중요하다. 특히 대역폭의 사용이 가변적인 비디오 트레픽의 경우는 유연한 대역폭 할당 기능이 있어야 한다. 이를 위하여 본 연구에서는 VBR과 CBR을 구분하여 제어하는 셀 스케쥴링 방식을 제안하였다. 이때 VBR 트레픽은 GCRA 알고리즘을 사용하여 가변적인 트레픽 요구를 만족시키도록 하였따. 제안된 제어 기법의 성능을 알아보기 위해 모의 실험을 통하여 성능을 평가하였다.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.19 no.1
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• pp.101-107
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• 2011

A UAV is defined as a powered, aerial vehicle that does not carry a human operator, and can fly autonomously or be piloted remotely. UAV operations have increased dramatically during the past several years in both the public and private sectors. The utilization of UAV and the activities of diverse widening, now the challenge was how to operate and integrate UAV safely in the NAS. The purpose of this study is to look around the trend for operability of Smart UAV in the NAS and to provide its implications and the future direction of integrated operating airspace focusing on U.S. where R&D and demand of UAV are the most in the world.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1995.09a
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• pp.334-343
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• 1995

In recent years, neural networks have been developed as an alternative to traditional statistical techniques. In this study, a neural network model was compared to traditional forecasting models in terms of their capabilities to forecast passenger traffic for flights between U.S. and Korea. The results show that the forecasting ability of the neural networks was superior to the traditional models. In terms of accuracy, the performance of the neural networks was quite encouraging. Using mean absolute deviation, the neural network performed best. The new technique is easy to learn and apply with commercial neural network software. Therefore, airline decision makers should benefit from using neural networks in forecasting passenger loads.

• Journal of Korean Society of Transportation
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• v.5 no.1
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• pp.85-99
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• 1987

The transport a administration in Korea is meeting demands of developing international multimodal transport system. In the past, as Korea transport policy has been emphasizing on the passenger traffic, the physical distribution sector is far behind international trend. Regarding the urging necessities of reducting costs in transport in order to upgrade the competitive edge of industries, Korea has to develop the most efficient transport system so called international multimodal transport system. The existing transport system is inefficient because each transport mode is separate, so this system is aiming at reducing cost and time and developing freight transport. The scope and scheme of this thesis should be as following. Chapter 2. Systems Approach of International multimodal transport 1. general systems theory 2. definition of International multimodal transport system 3. MTO (multimodal transport operator) Chapter 3. Current Situation and Problems of this System. 1. international law and practice 2.current situation A. Europe B. U.S. C. Japan D. Korea Chapter 4. Policy Goal for Improving this System Chapter 5. conclusion.

• Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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• 2002.09a
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• pp.291-295
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• 2002

We measured the concentrations of heavy metals and VOCs in groundwaters (N=38) in Seoul. The comparison of our data with U.S. Environmental Protection Agency's Maximum Contaminant Levels for Drinking Water and with the Korean Drinking Water Standards shows that most of the metals except for Fe and Mn do not exceed the levels. However, the concentrations of most heavy metals (esp., Zn, Cu, Cr, Ni) tend to increase in residential and industrialized areas. The examination of the metal speciation using Anodic Stripping Voltammetry (ASV) and TOC analyzer Indicates that large amounts of Zn occur as labile metal fraction, whereas Cu occurs as non- labile forms at many sites, possibly due to its tendency to be adsorbed onto inorganic colloidal particles to form electroinactive species in groundwater. The most frequently existed VOCs in Seoul groundwaters are trichloroethylene and tetrachloroethylene, especially in agricultural, industrial, and high traffic areas.

• Magazine of the Korean Society of Agricultural Engineers
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• v.34 no.1
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• pp.66-77
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• 1992

A prototype probabilistic approach to thickness design for asphalt pavement surface course was developed using first-order second moment probability model. The tensile strain (load effect) developing at the bottom of surface layer due to the wheel load and the critical strain (resistance) of asphalt concrete were used as random variables for pavement reliability analysis. Based on the parameters for load effect and resistance data collected from reference and field, simulated data were generated by Monte Carlo method for reliability evaluation of the pavement for a typical rural highway. Thickness of pavement surface course was defined in terms of target reliability of the pavement, growth factor of traffic, design life of pavement and resistance of the asphalt concrete to be placed on the pavement. According to these rationales, prototype thickness design chrats were sugested through example studies. From these, similar design charts can be developed for many pavements if appropriate data and target reliability are determined.