• 제목/요약/키워드: Accident classification system

검색결과 137건 처리시간 0.024초

철도안전관리에 위험도개념 적용을 위한 기반 요건에 대한 연구 (Basic Requirements for the Application of Risk Concept on Railway Safety Improvements)

  • 곽상록;조연옥;홍용기;왕종배
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2004년도 추계학술대회 논문집
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    • pp.290-295
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    • 2004
  • In railway system, the first step of safety managements is the identification of current safety level. Among many safety indexes, risk concept is the prevailing and most effective one in many developed countries for the safety management. But many requirements such as, accident classification rule, risk levels or broadly acceptable regions, safety cost benefit analysis, VPF, equivalent fatality and failure database are needed for the application of risk concept in railway. Basic requirements for the application of risk concept on railway safety improvements are derived in this study.

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주차장 차량사고 음향분류 DVR시스템 (Digital Video Record System for Classification of Car Accident Sounds in the Parking Lot.)

  • 윤재민
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2010년도 한국컴퓨터종합학술대회논문집 Vol.37 No.1(C)
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    • pp.429-432
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    • 2010
  • 주차장에서는 다양한 형태의 사건 사고가 발생하는데, 기존 DVR(CCTV)는 단순 영상녹화 기능만 지원하므로, 이를 효과적으로 분석하는데는 한계가 있다. 따라서, DVR의 영상카메라와 마이크를 통해서 입력되는 영상과 사운드 신호를 대상으로, 해당 영상이 발생하는 음향 신호의 종류를 파악하여, 특정 음향이 발생한 영상구간을 저장하여 이를 검색할 수 있다면, 주차장 관리자가 효과적으로 사건 사고를 대처할 수 있게 된다. 본 연구에서는 주차장에서 발생하는 차량관련 음향(충돌음, 과속음, 경적음, 유리파손, 비명)을 분류하기 위해 효과적인 특징벡터를 제안하고, 제안한 특징벡터를 이용하여 신경망 차량음향분류기를 설계하여 성능을 평가함으로써, 효과적으로 차량음향을 분류하기 위한 방법을 제안하였다. 또한, 신경망 차량음향분류기를 DVR시스템과 연동하여, 마이크로부터 입력되는 음향신호를 실시간 분석하고, 특정 소리가 발생한 영상구간을 기록함으로써, 음향 키워드에 의해서 해당 사고영상을 검색 및 디스플레이하는 시스템을 개발하였다.

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도로표지 정보 활용을 위한 도로표지 인식 및 지오콘텐츠 생성 기법 (Road Sign Recognition and Geo-content Creation Schemes for Utilizing Road Sign Information)

  • 성택영;문광석;이석환;권기룡
    • 한국멀티미디어학회논문지
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    • 제19권2호
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    • pp.252-263
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    • 2016
  • Road sign is an important street furniture that gives some information such as road conditions, driving direction and condition for a driver. Thus, road sign is a major target of image recognition for self-driving car, ADAS(autonomous vehicle and intelligent driver assistance systems), and ITS(intelligent transport systems). In this paper, an enhanced road sign recognition system is proposed for MMS(Mobile Mapping System) using the single camera and GPS. For the proposed system, first, a road sign recognition scheme is proposed. this scheme is composed of detection and classification step. In the detection step, object candidate regions are extracted in image frames using hybrid road sign detection scheme that is based on color and shape features of road signs. And, in the classification step, the area of candidate regions and road sign template are compared. Second, a Geo-marking scheme for geo-content that is consist of road sign image and coordinate value is proposed. If the serious situation such as car accident is happened, this scheme can protect geographical information of road sign against illegal users. By experiments with test video set, in the three parts that are road sign recognition, coordinate value estimation and geo-marking, it is confirmed that proposed schemes can be used for MMS in commercial area.

ICT기반 횡단보도용 교통안전 통합시설물 개발 (Development of ICT-based road safety integrated facilities for pedestrian crossing)

  • 조중연;임홍규;이민재
    • 한국산학기술학회논문지
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    • 제18권12호
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    • pp.93-99
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    • 2017
  • 지난해 국내에서 발생한 교통사고 사망자 수는 OECD 회원국 가운데 인구 10만명당 10명으로 35개국 중 6위를 기록하고 있고, 어린이나 노인과 같은 교통약자의 사고율도 높은 수준에 있다. 본 연구에서는 관련 문헌 검토, 교통사고분석시스템 자료를 이용한 사고요인분석 및 교통사고 특성 분석 등을 통하여 국내 비도심 지역 교통약자의 교통사고 저감을 위해 개발하고 있는 교통안전시설물을 소개하고자 한다. ICT기반 횡단보도용 교통안전 통합시설물은 어린이보호구역의 횡단보도를 우선 검토대상으로 하여 불법주차 차량을 배제하며, 보행자에게 횡단보도에 접근 차량이 있음을 알려주는 스마트 안전 휀스와 횡단보도 보행자가 있음을 인지하지 못한 운전자에게 경고하는 스마트 방지턱으로 구성하여 상호 작동하도록 설계하였다. 횡단보도용 교통안전시설물의 적정 형태 및 규모를 표준화하기 위하여 도로 기능, 보도 구분, 전력, 차로 수, 기학적 형태 등을 고려한 타입별 표준모델을 구축하였고, 시설물의 요구 기능을 정의하여 아이디어를 구체화하였다. 이에 따라, 교통약자의 교통사고를 저감하고, 태양광 전력공급, 기존 설치된 안전 휀스와의 호환성을 염두에 둔 디자인으로 유지관리비용 절감효과를 얻을 수 있을 것으로 기대한다.

사고대비물질 상위 및 하위규정수량의 적정성 평가 (Evaluation of Adequacy of Upper and Lower Tier Qualifying Quantities for the Substance Requiring Preparation for Accidents)

  • 김효동;김혜리;서청민;전진우;박교식
    • 한국안전학회지
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    • 제37권2호
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    • pp.10-17
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    • 2022
  • Currently, in Korea, lower and upper tier qualifying quantities of the 97 substances requiring preparation for accidents have been designated. The information on the submission of chemical accident prevention management plan varies depending on whether the handling volume is above or below the lower or upper qualifying quantity. Because the criteria of the lower and upper qualifying quantities of substance requiring preparation for accidents are not stipulated in the Chemical Substances Control Act, this study attempted to establish a criterion through significance verification. In addition, the study investigated whether these qualifying quantities are related to the Globally Harmonized System of Classification and Labelling of Chemicals (GHS), toxic concentration endpoint, and National Fire Protection Association (NFPA). Finally, by comparing the risk categorization of the GHS, endpoint, and NFPA, it was evaluated whether the circulation-volume-based risk categorization of the substance requiring preparation for accidents that are in the top 13 is appropriate. The qualifying quantities of benzene, toluene, and sulfuric acid needed to be adjusted upward, while those of methyl alcohol and ammonia were adjusted downward from the current qualifying quantities. It is required to establish a quantified criterion that fully reflects the domestic situations in Korea and various indicators such as toxicity, physicochemical properties, and circulation volume for the qualified criterion of hazardous chemical substances. The study is expected to be helpful in establishing an efficient system by systematizing the criterion for qualifying quantity.

철도사고의 인적오류 분석을 위한 수행도 영향인자 분류 (Taxonomy of Performance Shaping Factors for Human Error Analysis of Railway Accidents)

  • 백동현;구락조;이경선;김동산;신민주;윤완철;정명철
    • 산업경영시스템학회지
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    • 제31권1호
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    • pp.41-48
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    • 2008
  • Enhanced machine reliability has dramatically reduced the rate and number of railway accidents but for further reduction human error should be considered together that accounts for about 20% of the accidents. Therefore, the objective of this study was to suggest a new taxonomy of performance shaping factors (PSFs) that could be utilized to identify the causes of a human error associated with railway accidents. Four categories of human factor, task factor, environment factor, and organization factor and 14 sub-categories of physical state, psychological state, knowledge/experience/ability, information/communication, regulation/procedure, specific character of task, infrastructure, device/MMI, working environment, external environment, education, direction/management, system/atmosphere, and welfare/opportunity along with 131 specific factors was suggested by carefully reviewing 8 representative published taxonomy of Casualty Analysis Methodology for Maritime Operations (CASMET), Cognitive Reliability and Error Analysis Method (CREAM), Human Factors Analysis and Classification System (HFACS), Integrated Safety Investigation Methodology (ISIM), Korea-Human Performance Enhancement System (K-HPES), Rail safety and Standards Board (RSSB), $TapRoot^{(R)}$, and Technique for Retrospective and Predictive Analysis of Cognitive Errors (TRACEr). Then these were applied to the case of the railway accident occurred between Komo and Kyungsan stations in 2003 for verification. Both cause decision chart and why-because tree were developed and modified to aid the analyst to find causal factors from the suggested taxonomy. The taxonomy was well suited so that eight causes were found to explain the driver's error in the accident. The taxonomy of PSFs suggested in this study could cover from latent factors to direct causes of human errors related with railway accidents with systematic categorization.

중소규모 제조업의 관리감독자 교육제도 문제점 분석 (An analysis on problem of the safety educational system for supervisor in Medium and Small-sized Manufacturing industry)

  • 권오진;김병석
    • 대한안전경영과학회:학술대회논문집
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    • 대한안전경영과학회 2013년 추계학술대회
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    • pp.221-230
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    • 2013
  • This paper is written following an analysis of occurrence trend of industrial disaster in manufacturing industry. One of major reason of industrial accident is unsafe action caused by lack of work supervision. so we have surveyed the understanding level of supervisors for industrial safety and their education of industrial safety which is forced by industrial law. We have got the result that the supervisor's education is necessary to prevent industrial disaster but it's not fit for their own workplace for various reasons from the survey and analysis. I would like to suggest effective solutions. The institute of education should train that they can execute safety and health works themselves by classification of the industrial category, company scale and located region. Also, government should endow supervisors with authority and responsibility for the activation of education system. Finally, government should support the expense of education to medium and small-sized enterprises especially, and they should be interested in the attendance and execution of education. They will achieve the goal to prevent industrial disasters in manufacturing industry through the enforcement of effective supervisor system as per the remark mentioned above.

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Design and estimation of a sensing attitude algorithm for AUV self-rescue system

  • Yang, Yi-Ting;Shen, Sheng-Chih
    • Ocean Systems Engineering
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    • 제7권2호
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    • pp.157-177
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    • 2017
  • This research is based on the concept of safety airbag to design a self-rescue system for the autonomous underwater vehicle (AUV) using micro inertial sensing module. To reduce the possibility of losing the underwater vehicle and the difficulty of searching and rescuing, when the AUV self-rescue system (ASRS) detects that the AUV is crashing or encountering a serious collision, it can pump carbon dioxide into the airbag immediately to make the vehicle surface. ASRS consists of 10-DOF sensing module, sensing attitude algorithm and air-pumping mechanism. The attitude sensing modules are a nine-axis micro-inertial sensor and a barometer. The sensing attitude algorithm is designed to estimate failure attitude of AUV properly using sensor calibration and extended Kalman filter (SCEKF), feature extraction and backpropagation network (BPN) classify. SCEKF is proposed to be used subsequently to calibrate and fuse the data from the micro-inertial sensors. Feature extraction and BPN training algorithms for classification are used to determine the activity malfunction of AUV. When the accident of AUV occurred, the ASRS will immediately be initiated; the airbag is soon filled, and the AUV will surface due to the buoyancy. In the future, ASRS will be developed successfully to solve the problems such as the high losing rate and the high difficulty of the rescuing mission of AUV.

ETA를 이용한 에너지저장시스템의 위험성 평가 (Risk Assessment of Energy Storage System using Event Tree Analysis)

  • 김두현;김성철;김의식;박영호
    • 한국안전학회지
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    • 제31권3호
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    • pp.34-41
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    • 2016
  • The purpose of this paper is to conduct ETA on six items of ESS: the whole system, battery, BMS, PCS, ESS and cable. To achieve that, ESS work flow and its components are categorized. Based on performance, human, environmental, management, and safety, this paper drew initiation events (IE) and end states (ES). ETA is applied to the main functions of each item, and the end states that may occur in one initiation event are suggested. In addition, detailed classification was performed to induce various end states on the basis of the suggested initiation events ; loss of grid electricity of ESS, loss of battery electricity(DC) of battery, impairment of electric function of BMS, loss of grid electricity(AC) of PCS, loss of data of EMS, Mechanical damage of cable, event sequence analysis conducted on the basis of event trees. If the suggested IEs and ESs are applied on the basis of ESS event cases, it is expected to prevent the same kinds of accident and operate ESS safely.

현행 법률상 비사업용 소형무인비행장치 신고 및 식별표시의무 강화 규정 도입의 필요성 (The Concrete Classification and Registration for sUAS)

  • 김성미
    • 항공우주정책ㆍ법학회지
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    • 제34권1호
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    • pp.125-157
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    • 2019
  • 무인비행장치에 대한 수요와 그 활용은 급진적으로 증가하고 있으며, 기술은 기존의 법제가 따라가 힘들만큼 빠르게 발전하고 있다. 현행 "항공안전법" 및 같은 법 시행령과 시행규칙에서는 12kg이하의 비사업용 소형무인비행장치에 관하여 신고 및 조종자격증명에서 제외하고 있다. 국토교통부에서 2016년 조종자격증명에 관하여, 2018년에는 자격증명제도와 더불어 소형무인비행장치 세분화에 관하여 논의된 바 있지만 현실적으로는 아직 도입되지 않았다. 무인비행장치로 인한 손해는 운용자뿐만 아니라, 아무런 이해관계가 없는 지상의 제3자에게 전도될 것은 자명한 일이며, 이러한 무인비행장치에 관한 책임강제보험에 관한 논의도 활발하게 이루어지고 있다. 하지만 가장 먼저 선행되어야 할 것은 해당 무인비행장치로 인하여 발생한 손해를 누가 책임질 것이냐이다. 즉, 행위자(운용자)가 식별되지 않는 한 책임귀속제도 및 체계가 마련된다고 해도 손해배상에 관한 책임을 부담할 자를 확정할 수 없어 손해 발생 시 책임부담의 어려움은 피할 수 없을 것이다. 해외의 법제 사례를 살펴보아도 대부분의 국가에서는 이미 200g 또는 250g의 소형 무인비행장치의 등록 및 식별표시의무를 강제하고 있으며, 이에 대한 근거로 해당 소형무인비행장치가 지상으로 추락할 경우에 피해의 우려가 충분하기 때문이라고 밝히고 있다. 이에 따라 국내에서도 조속히 비사업용 소형무인비행장치의 세분화와 더불어 신고 및 식별표시의무에 관한 규정이 마련되어야 할 것이다.