VR 모의주행 시뮬레이터를 활용한 도심 지하도로 내 운전자 주행행태 분석

이진각,박상현,고상운 한국도로학회 2022 한국도로학회지 Vol.24 No.2

Link & Place 개념을 반영한 도로의 기능 및 용도지역 특성 적용성 검토

이진각,손영태,한상진,Lee, Jin-Kak,Son, Young-Tae,Han, Sang-Jin 대한교통학회 2010 교통 기술과 정책 Vol.7 No.2

경제성 분석을 위한 자전거 도로가치 평가 연구

이진각,이상화,손영태 한국도로학회 2006 한국도로학회 학술대회 발표논문 초록집 Vol.2006 No.10

도로 노면 안전성 분석을 위한 물고임 측정장비 개발 및 현장 적용성 연구

이진각,윤덕근,조영오 한국도로학회 2013 한국도로학회논문집 Vol.15 No.3

PURPOSES : The purpose of this study is development of automatic equipment to measure the road water-reservoir which can be one of factors for road traffic safety inspection and its application to safety analysis. METHODS : The scopes of this study are the examination of the riskiness and location of road water-reservoir through literature review,development of appropriate sensor and automatic equipment to survey the road water-reservoir and evaluation of field application. RESULTS: The laser lighting and IR camera were selected to develop the equipment. It was found from the field calibration that there is a high correlation between rutting and road water-reservoir and road water-reservoir caused by rutting can be correctly calculated. About 20.2km of national highway were inspected for case study and field application. It was found from correlation of traffic incident that 2.08km of the latent length for water-reservoir which is related to 12 traffic incidents were analyzed. CONCLUSIONS : This technique can be utilized evaluation method for road condition such as road water-reservoir for conventional evaluation system such as road traffic safety assessment and safety analysis and it can be use to new evaluation system to apply various road condition and traffic condition.

전기차 보급전망에 따른 고속도로 온실가스 저감효과 분석

이진각,한동희,오창권,정철기,오관교 대한교통학회 2013 대한교통학회지 Vol.31 No.5

본 연구에서는 현재 대두되고 있는 온실가스 저감에 초점을 맞추어 고속도로상에 배출되고 있는 CO2에 대해 정부정책 목표를 기준에 따른 전기차 보급전망과 2010년 기준 배출 현황을 토대로 장래 분석(2020년)을 하였다. 연구에서 수행한 주요 내용은 다음과 같다. 첫째, 고속도로에서 배출하는 온실가스의 경우 2010년 기준으로 약 17.3백만톤의 CO2 배출량이 발생하는 것으로 나타났으며, 이후 2015년 17.4백만톤, 2020년 16.2백만톤으로 분석되었다. 이러한 패턴의 결과는 KTDB 상의 O/D의 영향과 교통량 변화가 2015년 이후 2020년까지 증가하다가 2020년부터 감소하는 추세가 반영된 결과이다. 둘째, 전기차 보급전망에 따라 배출된 온실가스의 경우에는 2015년은 17.1백만톤으로 미시행(전기차 반영없음) 대비 약 2.0%의 저감효과가 발생되는 것으로 분석되었으며, 2020년에는 14.2백만톤으로 미시행 대비 약 12.8% 저감효과가 분석된 것을 알 수 있었다. This Study analyzed the electric car effect on the Korea Expressway System in terms of year 2020 CO2 emission. The analysis was based on the green car dissemination goal by the government and year 2010 emission statistics. Major contents performed in the study area were as follows. First, the greenhouse gases emitted from the highways were found to be approximately 17.3 million tons of CO2 as of 2010. Analysis showed the emission would be 17.4 million tons in 2015 and 16.2 million tons in 2020. The results in the pattern reflect the effect of O/D on the KTBD and the trend of traffic increase from 2015 to 2020 followed by decrease in 2020. Second, in the case of greenhouse gas emission with the anticipated supply of electric cars, the amount of emission in 2015 will be 17.1 million tons, which is about 2.0% reduction compared to the lack of introduction of electric cars. The analysis also showed that in 2020, the amount of emission will be 14.2 million tons, which indicates the effect of reduction is 12.8% compared to non implementation of the program.

신약개발을 위한 타겟단백질의 구조계산

이진각,한원석,윤창노 한국산업미생물학회 2002 생물산업 Vol.15 No.3

Grey System Theory를 이용한 차량 및 보행환경 통합평가

이진각,손영태,한상진,박진영,이상화 대한교통학회 2010 大韓交通學會誌 Vol.28 No.4

In this paper, understanding there is a limitation with a comprehensive and network approach for the evaluation of existing vehicle and pedestrian environments, the authors focus on developing an integrated approach to assessing these environments. The network evaluation here means the assessment at a three- dimensional level that includes evaluation methods of lines/axes in a spatial concept as well as integration of evaluation indicators being used for vehicles and the walking environment. Grey System Theory (GST) was applied based on the theoretical background for network and comprehensive integrated evaluation, and the evaluation of the vehicle and pedestrian environment was performed by assigning target areas to walking preference zones. As a result of the comprehensive evaluation and analysis by GST, even if the service level is the same as the operating indicators (Highway Capacity Manual) of the vehicle and pedestrian environment, or relatively better, it was identified that the total score could be varied over Grey Category because the observed data are calculated after considering the weights between evaluation indicators by the range of Grey Category on the comprehensive evaluation. Considering comprehensively these points, although the indicators on the operation of roads are relatively good, in the event that the indicators on the safety of roads are bad, it was known that the scores over Grey Category also could be changed. The result is that this evaluation method can be used to evaluate the network concept per lane (per axis) as well as to diagnose the current state by type of urban street in the future. 본 연구에서는 기존의 차량 및 보행환경의 평가에 있어서 종합적이고 통합적인 접근방식에 한계가 있다고 진단하고, 이를 고려하는 평가 방법 개발에 중점을 두었다. 여기에서의 통합적인 평가라 함은 차량환경과 보행환경에서 쓰이고 있는 수단별 평가지표에 대한 통합과 더불어, 공간적 개념에서 선/축의 평가방식을 포함한 면적인 차원의 평가라 할 수 있겠다. 본 연구에서는 통합 평가를 위한 이론적 배경으로 Grey System Theory(GST)를 적용하였으며, 대상지역은 보행우선구역 시범사업지로 하여 차량 및 보행환경에 대한 평가를 수행하였다. GST에 의한 종합평가 및 분석결과, 같은 서비스 수준 또는 상대적으로 차량 및 보행환경의 운영지표상(도로용량편람)에서는 보다 양호한 상태라 할지라도 관측된 데이터가 Grey Category 범위에 따라 통합평가 시에는 평가지표간 가중치 등이 고려되어 산정되었기에 Category 상에서의 종합점수는 달라지는 것을 알 수 있었다. 이러한 점을 종합적으로 고려해 볼 때, 도로운영상의 지표들이 상대적으로 좋다고 하더라도 안전상의 지표들이 나쁠 경우에는 그에 따라 Grey Category상의 점수들도 변화하는 것을 알 수 있었으며, 본 평가 방법을 통해 향후 도시가로 형태별로 현재 상태를 진단할 뿐 아니라 노선별(축별), 면적인 개념에서의 평가와 더불어 평가지표간 통합평가가 이루어 질 것으로 기대하고 있다.

A Novel Computational Method for Biomedical Binary Data Analysis: Development of a Thyroid Disease Index Using a Brute-Force Search with MLR Analysis

이진각,한원석,이준석,윤창노 대한화학회 2017 Bulletin of the Korean Chemical Society Vol.38 No.12

The thyroid disease index (TDI), which estimates thyroid disease progress based on hormone concentration measurements and hormone pattern changes, was developed. In this study, we measured concentrations of hormone profiles in the androgen and estrogen metabolic pathways from 23 patients with thyroid disease, as well as 20 unaffected people. We illustrated that the hormones 2-hydroxyestrone (2-OH-E1), 2-hydroxyestradiol (2-OH-E2), 2-methoxyestrone (2-MeO-E1), 2-methoxyestradiol (2-MeO-E2), and 2-methoxyestradiol-3-methylether (2-MeO-E2-3-methylether) are related to the development of thyroid disease through t-tests. Though the concentration levels of these hormones generally increase as the disease progresses, big fluctuations cause the determining of a disease's progress by measuring hormone levels to be difficult. The differing patterns between the correlation matrices of the disease and control groups possibly indicates changes in hormone releasing patterns during the thyroid disease's progress. Because of a lack of progressive experimental data on thyroid disease, binary data for the two categories (the thyroid disease patients and the control group) was utilized. Binary logistic regression was used to analyze five risk factors associated with thyroid disease, and the highest overall accuracy was 97.7% with three risk factors. Logistic regression models, however, are unable to describe disease progress. Hence, the TDI was developed to estimate thyroid disease progress. An arbitrary ranking of disease progress was generated for the TDI equation. The ranking contained a total number of 29 030 400 entries with six stages from the control group and eight stages from the disease group. Multiple linear regression (MLR) analysis was performed with a brute-force search. The best result among the MLR runs presented strong correlation (r2 values of 0.840 and q2 values of 0.663) between the selected hormones and the values of the disease progress in the training set. Overall accuracy of our novel method was 90.7%, which is worse than the 97.7% of logistic regression models. Brute-force search with MLR analysis might classify different types of thyroid disease progress such as thyroid mass (0.8055), goiter (0.8806), thyroid mass which was a thyroid cancer before operation (0.8951 and 0.9112), and cancer (1.001–2.144). The results show that the TDI is a good indicator of thyroid disease progress and that brute-force search with MLR analysis is useful for biomedical binary data analysis.

운전자 시야를 고려한 사각 교차로의 교차각 평가에 관한 연구

이진각,손영태 명지대학교 산업기술연구소 2001 産業技術硏究所論文集 Vol.20 No.-

Sight distance in a skewed intersection that provides sight hindrance to a driver is conceptualized in this research. In addition, this paper developed a method of available sight distance incorporating visual angle of a driver which varies by driver's pose and by vehicle types. Also, minimum intersection sight distance, the value of A.S.D is obtained by the developed formula. Design velocity for a main road and stopping sight distance in accordance with intersection angle are obtained by using the maximum acceleration performance and response time for a vehicle in a sub road to cross a main road. In conclusion, when a passenger car is analyzed as design vehicle, proper intersection angle is at least over 65 degree and is at least over 70 degree for semi-trailer or large car.

설해와 한파 대응을 위한 제설장비 선진화

이진각,양충헌,손영태 한국방재학회 2014 한국방재학회지 Vol.14 No.1