• Journal of Society of Preventive Korean Medicine
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• v.22 no.2
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• pp.41-53
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• 2018

Objectives : It was to classify and its affecting factors to the patients of Korean medicine hospital with short term and long term hospitalization. Methods : I focused on long-term hospitalized patients. I was conducted on 344 hospitalized patients among the original data of usage and consumption of Korean medical report in 2014. Among those patients, I have classified them into long term inpatients(131 patients) and short term inpatients(213 patients) based on 16 days of hospitalization. Also multiple regression analysis was conducted to investigate the characteristics of the hospitalization, treatment satisfaction and dissatisfaction, the characteristics of long term hospitalization according to the sociodemographic of the subjects, the top 21 diseases and the distribution of human bodies, side effects and kinds of Korean medicine. Results : There was a statistically significant difference between the short term and long term hospitalized patients due to age, occupation, marital status, all 21 diseases and institutional fees, experience of Korean medical treatment due to traffic accidents. There was no significant difference in gender, education level, residence, income level, type of medical insurance, whether private insurance, type of medical treatment for Korean medicine, medical expenses for car accidents, reason for dissatisfaction with treatment. The number of long term patients at Korean medicine hospitals increased by a statistically significant by age in model 1 where confounding factors were differently controlled. In model 2, the number of long term patients at Korean medicine hospitals increased by a statistically significant by age, among those who earned 5,000,000 Korean won or more, and among those with nerve diseases. The number of long term patients at Korean medicine hospitals decreased by a statistically significant amount among the unemployed and others in model 2. In model 3, the number of long term patients at Korean medicine hospitals increased by a statistically significant by age, among those who earned 5,000,000 Korean won or more, and among those with nerve diseases, while the number decreased by a statistically significant amount among the married. Conclusions : These results suggest that the factors affecting the short term and long term hospitalization of patients with Korean medicine hospital are different from each other. Especially it was significant by age, over 5,000,000won Income per month, nerve disease, but decrease significant married.

• Journal of Korean Society of Transportation
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• v.34 no.2
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• pp.123-134
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• 2016

Traffic accident at intersections takes 44.3% of total number of accidents on entire road network of Korea in 2014. Although several studies addressed contributory factors of accidents at signalized intersection, very few is known about the factors at rural unsignalized intersections. The objective of this study is therefore to investigate specific characteristics of crashes at rural unsignalized intersection and to identify contributory factors in causing crashes by statistical approach using the Ordered Logistic Regression Model. The results show that main type of car crashes at unsignalized intersection during the daytime is T-bone crashes and the number of crashes at 4-legged intersections are 1.53 times more than that at 3-legged intersections. Most collisions are caused by negligence of drivers and violation of Right of Way. Based upon the analysis, accident severity is modeled as classified by two types such as 3-legged intersection and 4-legged intersection. It shows that contributory factors in causing crashes at rural unsignalized intersections are poor sight distance problem, average daily traffic, time of day(night, or day), angle of intersection, ratio of heavy vehicles, number of traffic violations at intersection, and number of lanes on minor street.

• Journal of Korean Society of Transportation
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• v.29 no.1
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• pp.81-93
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• 2011

This research deals with the multi-modal continuous network design problem to resolve the transportation policy problems for constructing and operating transportation facilities with considering the mutual decision-making process between transportation operator and user in the multi-modal network. Particularly, in the consideration of changes in travel pattern between transport modes due to the changes in transportation policy, road network for passenger car and transit network for public transportation are considered together. In the development of network design model, more rational Stackelberg equilibrium(cooperative game) rather than more general Nash equilibrium(non-cooperative game) approach is used and sensitivity analysis considering transport mode is used. A multi-modal continuous network design model in this study is developed for the arbitrary continuous network design parameters(${\epsilon},\hat{\epsilon},p$) of transportation policy decisions. As examples of application and evaluation for these design parameters, the developed model is applied to calculate 1)the optimal capacity of road link in the road transport policy, 2)the optimal frequency of transit line in public transport policy and 3)the optimal modal split in transport modal share policy.

• Fire Science and Engineering
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• v.29 no.2
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• pp.44-53
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• 2015

This study is a survey research to improve the fire-fighting ambulance interior design safer and more efficient to identify the type of structure and functional problems 119 ambulance. When the paramedics and four degrees to over 755 people modify the target report and related literature on the future development of an ambulance for patient safety at the 2007 British National Patients Safety Agency (NPSA) and was used as a complementary tool. General characteristics questionnaire was composed of items for your design improvements for ambulance promote safety and efficiency. The data were collected by distributing a questionnaire e-mail or in person. The collected data were processed using the SPSS 20.0 statistical program, the general characteristics as frequency analysis, percentage, ambulance interior design improvement-related items were analyzed using the chi-square verified. As a result, this research elicited that vans converted fire ambulance cars have a problem with the narrow interior space and truck converted fire ambulance cars should be comfortable to drive in ride quality. In addition, we also found that the improvement of paramedics treatment position and the paramedic's personnel safety belt are required. Based on these results, we propose that a number of improvements are needed in the fire-fighting ambulance car.

• Journal of Digital Convergence
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• v.14 no.12
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• pp.73-84
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• 2016

The purpose of this study is to examine the global value chain of the global automotive industry to investigate the success factors through the example of the value chain of Hyundai Motor. It looks at the value chain of the well-known Korean automaker, Hyundai Motor, to find success factors with cases. It examines the process to build the supply chain of Hyundai Motor to analyze what impact it has on the growth of Hyundai Motor to look closely at the vertical division of labor of vehicle parts manufacturers. Korea's automobile industry has been expanding cooperation between two sectors as a multifunctional promotion focusing on electronic communications technology in machinery and technology center. Through introducing the nation's first vertical integration in the sector, Hyundai Motor has secured competitiveness of cost reduction and prestige car production. Hyundai Motor has operated and established factories in the United States, India, Turkey, the Czech Republic, Russia, and Brazil. Hyundai Motor operates 51 affiliates, such as Hyundai Mobis, by restructuring, mergers and acquisitions, and building their own vertical division of labor around it. Hyundai Motor has been overcoming dependence on foreign modules businesses and maintaining the supply value chain around Hyundai Mobis.

• Journal of Digital Convergence
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• v.18 no.10
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• pp.33-39
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• 2020

In order to cope with traffic accidents efficiently, the maximum number of traffic accidents, deaths and serious injuries that can occur during the day should be presented quantitatively. In order to examine the characteristics of traffic accidents in different regions, it was divided into the Seoul metropolitan area, Chungcheong area, Gyeongbuk area, Honam area, and Gyeongnam area and was suitable for the generalized extreme value distribution (GEV). The parameters of the GEV distribution were estimated by the L-moments, and the Anderson-Darling test and the Cramer-von Mises test confirmed the suitability of the distribution. According to the analysis, the maximum number of traffic accidents that can occur once every 50 years is 401 in the Seoul metropolitan area, 168 in the South Gyeongsang region, 455 in the North Gyeongsang region, 136 in the Chungcheong region and 205 in the South Jeolla region. Compared to the Seoul metropolitan area, which has a large population and car registration, the number of traffic accidents is relatively high due to the large area, mountainous areas, and logistics movement caused by the industrial complex.

• Journal of the Korean Society for Railway
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• v.18 no.1
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• pp.63-70
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• 2015

Track irregularities have a strong influence on the safety and the ride comfort of trains as well as track maintenance work. A statistical analysis was conducted for track irregularities data measured in Kyoungbu high speed line using a track recording car(EM120). First, the characteristics of EM120, which adopted versine measurement system, were investigated and the transfer function of EM120 was examined. The distributions of the surface and the alignment which have short wavelength were considerably high and the distribution decreased as wavelength increases. A distribution analysis of the wavelength was carried out according to EN standards and most of the track irregularities were in a D1 wavelength range. The distributions of the amplitude of track irregularities were also investigated and the results show that the distributions of track irregularities decrease rapidly as amplitude increases. These results may be helpful in making track maintenance plans and revising track irregularities criteria.

• Spatial Information Research
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• v.23 no.2
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• pp.21-29
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• 2015

Recently, according to the increasingly populated data, many media and organizations focus on big data, data visualization, information visualization and infographics. Domestically, Chosun.com and Hankyoreh online have improved on the data visualization field and internationally, the Guardian, Wall Street Journal, and New York Times are the leading companies on that area. Until now, many people have recognized infographics as a design-oriented product in Korea. However, one of significant data visualization programs, Tableau Public, can visualize data more efficiently. In this paper, Data Visualization Methods Quadrant for Policy Making is defined, and data analysis and producing infographics are executed. As used data, World Bank open source was adopted and using the number of passenger cars per 1,000 people, two analysis results are extracted. First, in high income group, the more GNI per capita, the lesser Slope is represented and in mid income group, the more GNI per capita positively affects to Slope. Second, in the global finance crisis, the car ownership rate was about 1.7 times than the usual state in the global economy. Through the case study, this paper suggests that the direction of producing infographics should be changed from design-oriented to data-oriented. Moreover, the data-oriented infographics should be propagated as means of scientific research and policy making.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.13 no.3
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• pp.96-106
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• 2014

Necessarily traffic policies have been biased in car than pedestrian, so pedestrian's environment is getting worse. Result of this situation our accident rate is high as 36.4%, compared to OECD member countries with average rate of 17.8%(in 2009). Increasing interest for pedestrians environment improvement, and it make an effort to build environment to guarantee walk and safety of pedestrians. Analysis on the binary logistic regression(BLR) was used. The dependent variable is occurring from the road width of less than 9m accident, and independent variable extracted can be obtained from the traffic accident data. Traffic accident on roads having width of less than 9 meters affecting variables is when the driver is straight, when the driver is female, when the pedestrian is walk driveway, and so on. To prevent it, efforts is demanded to protect handicapped, to build safe pedestrians environment using C-ITS and to decrease speed of going straight vehicle on roads having width of less than 9 meters.

• The Journal of the Acoustical Society of Korea
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• v.22 no.5
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• pp.375-382
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• 2003

Lip-reading technique based on bimodal is to enhance speech recognition rate in noisy environment. It is most important to detect the correct lip-image. But it is hard to estimate stable performance in dynamic environment, because of many factors to deteriorate Lip-reading's performance. There are illumination change, speaker's pronunciation habit, versatility of lips shape and rotation or size change of lips etc. In this paper, we propose the IIR filtering in time-domain for the stable performance. It is very proper to remove the noise of speech, to enhance performance of recognition by digital filtering in time domain. While the lip-reading technique in whole lip image makes data massive, the Principal Component Analysis of pre-process allows to reduce the data quantify by detection of feature without loss of image information. For the observation performance of speech recognition using only image information, we made an experiment on recognition after choosing 22 words in available car service. We used Hidden Markov Model by speech recognition algorithm to compare this words' recognition performance. As a result, while the recognition rate of lip-reading using PCA is 64%, Time-domain filter applied to lip-reading enhances recognition rate of 72.4%.