• Title/Summary/Keyword: Accident Database analysis

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Safety Assessment of LNG Transferring System subjected to gas leakage using FMEA and FTA

  • Lee, Jang-Hyun;Hwang, Seyun;Kim, Sungchan
    • Journal of Advanced Research in Ocean Engineering
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    • v.3 no.3
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    • pp.125-135
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    • 2017
  • The paper considers the practical application of the FMEA(Failure Mode and Effect Analysis) method to assess the operational reliability of the LNG(Liquefied Natural Gas) transfer system, which is a potential problem for the connection between the LNG FPSO and LNG carrier. Hazard Identification (HAZID) and Hazard operability (HAZOP) are applied to identify the risks and hazards during the operation of LNG transfer system. The approach is performed for the FMEA to assess the reliability based on the detection of defects typical to LNG transfer system. FTA and FMEA associated with a probabilistic risk database to the operation scenarios are applied to assess the risk. After providing an outline of the safety assessment procedure for the operational problems of system, safety assessment example is presented, providing details on the fault tree of operational accident, safety assessment, and risk measures.

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

  • Kwak Sang-Log;Cho Yun-Ok;Hong Yong-Ki;Wang Jong-Bae
    • Proceedings of the KSR Conference
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    • 2004.10a
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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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A Study of Step-by-step Countermeasures Model through Analysis of SQL Injection Attacks Code (공격코드 사례분석을 기반으로 한 SQL Injection에 대한 단계적 대응모델 연구)

  • Kim, Jeom-Goo;Noh, Si-Choon
    • Convergence Security Journal
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    • v.12 no.1
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    • pp.17-25
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    • 2012
  • SQL Injection techniques disclosed web hacking years passed, but these are classified the most dangerous attac ks. Recent web programming data for efficient storage and retrieval using a DBMS is essential. Mainly PHP, JSP, A SP, and scripting language used to interact with the DBMS. In this web environments application does not validate the client's invalid entry may cause abnormal SQL query. These unusual queries to bypass user authentication or da ta that is stored in the database can be exposed. SQL Injection vulnerability environment, an attacker can pass the web-based authentication using username and password and data stored in the database. Measures against SQL Inj ection on has been announced as a number of methods. But if you rely on any one method of many security hole ca n occur. The proposal of four levels leverage is composed with the source code, operational phases, database, server management side and the user input validation. This is a way to apply the measures in terms of why the accident preventive steps for creating a phased step-by-step response nodel, through the process of management measures, if applied, there is the possibility of SQL Injection attacks can be.

Analysis of Truck involved Accidents on Freeways (고속도로에서의 트럭 차량 관련 사고 요인 분석)

  • Yang, Choon-Heon;Son, Young-Tae
    • International Journal of Highway Engineering
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    • v.10 no.2
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    • pp.35-45
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    • 2008
  • Trucking is the most frequently used mode for freight movement due to relatively lower shipping costs and its operational flexibility. However, truck traffic can contribute to serious safety problems where they occupy high percentage of the total traffic. Heavy truck crashes arc more likely to result in serious injuries and fatalities than are crashes involving light vehicles. Therefore, safety issues for truck traffic are very significant both for public agencies and for general travelers. The objective of our study is to find truck-involved accident patterns according to traffic conditions and main factors as well as to find the most critical factor through conventional statistical techniques. A vailable data were obtained from TASAS (Traffic Accident Surveillance and Analysis System). Once critical factors are identified, effective and efficient truck management strategies can be discussed.

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Patent Analysis and Standardization Methods of Automobile Black Box Technology (차량용 블랙박스 기술 특허분석 및 표준화 방안)

  • Han, In-Hwan
    • Journal of Korean Society of Transportation
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    • v.25 no.3
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    • pp.29-43
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    • 2007
  • An automobile black box can provide sufficient and accurate information for investigating the causes of vehicle accidents as well as preventing them in the future. The database of accident information from stored data in the black box can provide a variety of services to the general public when it is accessed in a reasonable manner. minimizing intrusion into drivers' privacy. Therefore, the black box could become the main intelligent automobile Part, with extensive benefits for all associated industries as well as government agencies and insurance companies. While the introduction and spread of the black box are imminent in Korea, this paper reviews technology and product trends of the black box. In particular, this paper presents findings on the investigation of black box-related patent applications and an in-depth study of core patents from several leading counties, including the United States. In addition, this paper describes trends of standardization and legislation in leading countries and presents methods of standardization with suggestions for some development topics related to black box technology.

A study on data standardization and utilization for disaster and safety management in educational facilities (교육시설 재난안전관리를 위한 데이터 표준화 및 활용방안 연구)

  • Kang, Seong-Kyung;Lee, Young-Jai
    • The Journal of Information Systems
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    • v.27 no.2
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    • pp.175-196
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    • 2018
  • Purpose The purpose of this study is to identify problems of current educational facility data management and recommend a standardized terminology classification system as a solution. In addition, the research aims to present a preemptive and integrated disaster and safety management framework for educational facilities by seeking efficient business processes through secured data quality, systematic data management, and external data linkage and analysis. Design/methodology/approach A terminology classification system has been established through various processes including filtering and analysis of related data including laws, manuals, educational facilities accidents, and historical records. Furthermore, the terminology classification system has been further reviewed through several consultations with experts and practitioners. In addition, the accumulated data was refined according to the established standard terminology and an Excel database was developed. Based on the data, accident patterns occurred in educational facilities over the past 10 years were analyzed. Findings In the study, a template was developed to collect consistent data for the standardized disaster and safety management terminology classification system in educational facilities. In addition, the standardized data utilization methods are presented from the viewpoint of 'education facility disaster safety data management', 'data analysis and insight', 'business management through data', and 'leaping into big data management'.

Parameter Analysis to Predict Cervical Spine Injury on Motor Vehicle Accidents (탑승자 교통사고에서 경추손상 판단을 위한 중증도 요인 분석)

  • Lee, Hee Young;Youk, Hyun;Kong, Joon Seok;Kang, Chan Young;Sung, Sil;Lee, Jung Hun;Kim, Ho Jung;Kim, Sang Chul;Choo, Yeon Il;Jeon, Hyeok Jin;Park, Jong Chan;Choi, Ji Hun;Lee, Kang Hyun
    • Journal of Auto-vehicle Safety Association
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    • v.10 no.3
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    • pp.20-26
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    • 2018
  • It was a pilot study for developing an algorithm to determine the presence or absence of cervical spine injury by analyzing the severity factor of the patients in motor vehicle occupant accidents. From August 2012 to October 2016, we used the KIDAS database, called as Korean In-Depth Accident Study database, collected from three regional emergency centers. We analyzed the general characteristics with several factors. Moreover, cervical spine injury patients were divided into two groups: Group 1 for from Quebec Task Force (hereinafter 'QTF') grade 0 to 1, and group 2 for from QTF grade 2 to 4. The score was assigned according to the distribution ratio of cervical spine injured patients compared to the total injured patients, and the cut-off value was derived from the total score by summation of the assigned score of each factors. 987 patients (53.0%) had no cervical spine injuries and 874 patients (47.0%) had cervical spine injuries. QTF grade 2 was found in 171 patients (9.2%) with musculoskeletal pain, QTF grade 3 was found in 38 patients (2.0%) with spinal cord injuries, and QTF grade 4 was found in 119 patients (6.4%) with dislocation or fracture, respectively. We selected the statistically significant factors, which could be affected the cervical spine injury, like the collision direction, the seating position, the deformation extent, the vehicle type and the frontal airbag deployment. Total score, summation of the assigned each factors, 10 was presented as a cut-off value to determine the cervical spine injury. In this study, it was meaningful as a pilot study to develop algorithms by selecting limited influence factors and proposing cut-off value to determine cervical spine injury. However, since the number of data samples was too small, additional data collection and influencing factor analysis should be performed to develop a more delicate algorithm.

A Study on the Rollover Behavior of SUV and Collision Velocity Prediction using PC-Crash Program (PC-Crash를 이용한 SUV의 전복사고 거동 및 충돌속도 예측에 관한 연구)

  • Choi, Yong-Soon;Baek, Se-Ryong;Jung, Jong-Kil;Cho, Jeong-Kwon;Yoon, Jun-Kyu
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.18 no.2
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    • pp.227-235
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    • 2018
  • Along with the recent increase in traffic volume of vehicles, accidents involving rollover of vehicles have been rapidly increased, resulting in an increase casualties. And to prevent this, various technologies such as vehicle crash test equipment and analysis program development have been advanced. In this study, the applied vehicle model is FORD EXPLORER model, and PC-Crash program for vehicle collision analysis is used to predict the rollover accident behavior of SUV and the collision velocity. Compared with the actual rollover behavior of SUV through the FMVSS No 208 regulations, the analysis results showed similar results, the characteristics of the collision velocity and roll angle showed a tendency that the error rate slightly increased after 1000 msec. Then, as a result of considering using the database of NHTSA, it is shown that the rollover accident occur most frequently in the range of the collision velocity of 15~77 km/h and the collision angle of $22{\sim}74^{\circ}$. And it is possible to estimate the vehicle speed and collision time when the vehicle roof is broken by reconstructing the vehicle starting position, the roof failure position and the stop position by applying the actual accident case.

A Study on the Correlation between Leak Hole Size, Leak Rate, and the Influence Range for Hydrochloric Acid Transport Vehicles (염산 운송차량의 누출공 크기와 누출률 및 영향범위간 상관관계 연구)

  • Jeon, Byeong-Han;Kim, Hyun-Sub
    • Journal of Environmental Health Sciences
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    • v.47 no.2
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    • pp.175-181
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    • 2021
  • Objectives: The correlation between the size of a leak hole, the volume of the leakage, and the range of influence was investigated for a hydrochloric acid tank-lorry. Methods: For the case of a tank-lorry chemical accident, KORA (Korea Off-site Risk Assessment Supporting Tool) was used to predict the leak rate and the range of influence according to the size of the leak hole. The correlation was studied using R. Results: As a result of analyzing the leak rate change according to the leak hole size in a 35% hydrochloric acid tank-lorry, as the size of the leak hole increased from 1 to 100 mm, the leak rate increased from 0.008 to 83.94 kg/sec, following the power function. As a result of calculating the range of influence under conditions ranging from 1 to 100 mm in size and 10 to 60 minutes of leakage time, it was found that the range spanned from a minimum of 5.4 m to a maximum of 307.9 m. As a result of multiple regression analysis using R, the quadratic function model best explained the correlation between the size of the leak hole, the leak time, and the range of influence with an adjected coefficient of determination of 0.97 and a root mean square error of 22.33. Conclusion: If a correlation database for the size of a leak hole is accumulated for various substances and under various conditions, the amount of leakage and the range of influence can easily be calculated, facilitating field response activities.

Analysis of Human Casualties on the Ground in Urban Area due to UAM Crash (UAM 추락 시 인구 밀접 지역 지상 인명피해 분석)

  • Kim, Youn-sil;Choi, In-ho
    • Journal of Advanced Navigation Technology
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    • v.26 no.5
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    • pp.281-288
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    • 2022
  • This study quantitatively analyzed the human casualties that can occur when a multicopter-type Urban Air Mobility (UAM) with a weight of about 1 ton and a speed of about 100 km/h falls in an urban area. Based on the population density and building database in Seoul, the population exposed to collisions in the event of a UAM crash was derived. Through the ballistic descent model, the accident impact radius of the UAM fall was calculated. In addition, the change in human casualties on the ground was analyzed when the accident impact radius increased. Finally, the ground risk map was created for Seoul, and it was confirmed that about 1 to 10 people could be injured when a UAM crash.