• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2009.05a
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• pp.207-208
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• 2009

B-모드 초음파를 이용한 경동맥 내중막 두께(IMT intima-media thickness) 측정은 관상동맥 질환이나 허혈성 뇌질환 위험도의 독립적인 인자로 매우 중요하다. 본 연구에서는 NTSC(national television system committee) 방식으로 경동씩 초음파 동영상신호를 획득하여 프레임으로 나누어 각각의 IMT를 측정하였다. 각각의 측정값을 시간축으로 재구성하여 시간도메인에서 IMT 의 시변동성을 분석하였다. IMT 시변동성 분석을 통하여 상대적으로 부정맥피험자가 정상피험자에 비해 IMT 평균값이 작아 위험도가 낮다고 평가 될 수 있지만 시변동성 분석으로 IMT 평균값이 작아도 혈관의 기능적 특징이 부족하여 위험도가 높다는 것을 알 수 있었다. 경동맥의 형태적 특징과 기능적 특징을 반영하는 이 분석방법은 경동맥 내중막 두께측정의 신뢰성을 향상시키며 관련질환의 위험도와 중증도를 세분화 할 수 있는 새로운 방법이 될 수 있을 것이다.

• Journal of Advanced Navigation Technology
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• v.24 no.6
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• pp.500-507
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• 2020

This paper presents a risk assessment methodology for standard flight procedures using recorded automatic dependent surveillance-broadcast (ADS-B) data. Utilizing the proposed methodology, the results of risk analyses in RKSI (incheon international airport) and RKSS (gimpo international airport) using trajectories that are regenerated based on 100 days of ADS-B data are presented. For the risk metric, detect and avoid well clear (DWC) is used. With this index, each procedure was evaluated for the sections with highest level of risk. Among the standard instrument departure (SID) of RKSI, the section between SI712 and RANOS of RNAV BOPTA 1L showed the highest level of risk. For the standard terminal arrival route (STAR) of RKSI, section between SI947 and DANAN of RNAV GUKDO 1N wasthe one with the highest level of risk. For RKSS, the segment between SS726 and SS727 of RNAV BULTI 1X and the segment between KAKSO and KALMA of RNAV OLMEN 1D showed the highest level of risk among the SIDs and STARs, respectivly.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.2
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• pp.62-73
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• 2022

As the competition among the autonomous vehicle (AV, here after) developers are getting fierce, Korean government has been supporting developers by deregulating safety standards and providing financial subsidies. Recently, some OEMs announced their plans to market Lv3 and Lv4 automated driving systems. However, these market changes raised concern among public road management sectors for monitoring road conditions and alleviating hazardous conditions for AVs and human drivers. In this regards, the authors proposed a methodology for monitoring road infrastructure to identify hazardous factors for AVs and categorizing the hazards based on their level of impact. To evaluate the degrees of the harm on AVs, the authors suggested a methodology for managing road hazard factors based on vehicle performance features including vehicle body, sensors, and algorithms. Furthermore, they proposed a method providing AVs and road management authorities with potential risk information on road by delivering them on the monitoring map with node and link structure.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2014.06a
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• pp.343-345
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• 2014

실시간 위치 기반 선박 충돌 위험도는 자선의 관점에서 선박충돌의 위험을 판단하는 것이 아니라 VTS(Vessel Traffic Service)의 관점에서 충돌 위험이 있는 선박을 식별하고 충돌 위험 지역을 전자 해도에서 실시간으로 확인하여 해당 해역 전체의 선박 교통흐름과 통항하는 선박간의 위험도를 평가하는 것이 목적이다. 항해사로써의 승선 경험과 관제사로써의 근무 경험, 그리고 다 년간 VTS 관제 업무를 수행하고 있는 관제사들로부터 충돌의 위험이 있는 선박을 식별하는 방법으로 주로 선박간의 벡터(코스와 속력)를 실시간으로 모니터링하여 충돌 위험이 있는 선박에게 피항 조치를 취하도록 정보를 제공하는 것으로 확인되었다. 따라서 DCPA(Distance to Closest Point of Approach)와 TCPA(Time to Closest Point of Approach), 그리고 최근접시간을 변수로 하는 충돌 위험 함수식(최대값=100)을 연구하여 각 지점의 위험도를 실시간으로 표시하는 기초 모델을 연구하였다.

• Review of KIISC
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• v.23 no.3
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• pp.56-60
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• 2013

본 논문은 온라인에 공개된 다양한 개인정보의 위험도를 분석하는 기술을 제안한다. 인터넷, SNS에 공개된 다양한 데이터를 수집, 분석하여 개인성향을 파악하고 타겟팅하는 가운데, 분산된 정보를 조합하고 추론하면 공개자의 의도와는 달리 신상이나 민감정보가 노출될 가능성이 크다. 본 논문에서는 이러한 데이터 수집 및 분석을 직접 수행하여 개인정보의 위험도를 분석할 수 있는 기술을 제안한다. 제안 기술이 개발되면, 개인정보 위험도에 따른 클라이언트, 웹사이트, 인터넷 전체 규모의 프라이버시 필터링이 가능해질 것으로 기대된다.

• The Korean Journal of Applied Statistics
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• v.27 no.1
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• pp.147-157
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• 2014

Women's roles have changed substantially in economically developed countries; subsequently, the ratio of female drivers has also increased. In such countries, there has been considerable interest in assessing gender differences in vehicle accident risks and reasons to explain the gender differences. This study investigates the gender differences in vehicle accident risk based on 500,000 drivers randomly selected from a population sample. A Heckman model is used for accident damage and a negative binomial model is used for the accident frequency. Empirical results show that male drivers are 8.3% riskier than female drivers in terms of accident damage; however, female drivers are 113% risker than male drivers in term of accident frequency. We can implement more practical policies to reduce vehicle accidents if we can understand the reasons for the gender differences.

• Journal of Korean Tunnelling and Underground Space Association
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• v.20 no.6
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• pp.917-930
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• 2018

A quantitative risk assessment method for quantitatively evaluating the fire risk in designing a road tunnel disaster prevention facilities has been introduced to evaluate the appropriateness of a disaster prevention facility in a large tunnel through which all vehicle types pass. However, since the quantitative risk assessment method of the developed can be applied only to the large sectional area tunnels (large tunnels), it is necessary to develop a quantitative risk assessment method for road tunnels passing only small cars which has recently been constructed or planned. In this study, fire accidents scenarios and quantitative risk assesment method for small road tunnels through small cars only which is based on the methods for existing road tunnels (large tunnels). And the risk according to the distance between cross passage is evaluated. As a result, in order to satisfy the societal risk assessment criteria, the distance of the appropriate distance between cross passages was estimated to be 200 m, and the effect of the ventilation system of the large port exhaust ventilation system was quantitatively analyzed by comparing the longitudinal ventilation system.

• Journal of the Korean Society for Railway
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• v.20 no.4
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• pp.550-557
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• 2017

Owing to the established international standards for reliability and safety management of railways and the third-part conformity assessment implementation, quantitative risk assessment focusing on communication system related to railway safety has being implemented. The quantitative risk assessment starts from the establishment of quantitative RAMS requirements; the risk has to be maintained under an acceptable safety level. This paper introduces the risk assessment process based on international standards ; risk assessment was conducted using failure data for railway facilities for about 5.5 years. In addition, based on the results, a scientific risk management method for railway facilities is suggested.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.4
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• pp.55-66
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• 2020

This study developed four algorithms and their associated indices that can quantify and qualify road hazards along roadways. Initially, relevant raw data can be collected from commercial vehicles by camera and DTG. Well-processed data, such as potholes, road freezing, and fog, can be generated from the Integrated management system. Road hazard algorithms combine these data with road inventory data in the Data Sharing Platform. Depending on well-processed data, four different road hazard algorithms and their associated indices were developed. To test the algorithms, an experimental plan based on passive DTG attached in probe vehicles was performed at two different test locations. Selection of the test routes was based on historical data. Although there were limitations using random data for commercial vehicles, hazardous roadways sections, such as fog, road freezing, and potholes, were generated based on actual historical data. As a result, no algorithm error was found in the entire test. Because this study provides road hazard information according to a section, not a point, it can be practically helpful to road users as well as road agencies.

• Journal of Korea Water Resources Association
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• v.57 no.1
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• pp.45-58
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• 2024

Drought risk is expected to increase as the frequency, intensity, and duration of droughts increase due to climate change. Drought risk is related to not only hydro-meteorological factors, but also water supply and demand. Recently, along with climate change, socioeconomic factors have also been recognized to increase drought risk. Therefore, it is necessary to outlook the drought risk considering various conditions for coping with future extreme droughts in a timely manner. In addition, considering various drought scenarios help reduce the uncertainty in future drought outlook. In this study, drought scenarios considering climate change scenarios, population, and water demand were created to outlook drought risk for 160 administrative districts in Korea, then new levels of drought risk were assigned based on the results of drought risk outlook to suggest drought management measures. The results showed that the drought risk will increase in the future in 2020, 2025, and 2030, compared to past. Especially the drought risk is likely twice as high in 2030 under the baseline and high scenarios. Applying the drought outlook results from this study to the new methodology for setting the risk levels shows that most regions are in Response (V) in 2020 and 2030 for baseline and high scenarios.