• Title/Summary/Keyword: 건설적사고패턴

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Risk Analysis Based on Accident-Category for Railway Work Zones (철도건설현장의 사고유형기반 위험도 분석)

  • Park, Mi-Yun;Choi, Eun-Soo;Park, Joo-Nam;Choi, Seung-Sun
    • Journal of the Korean Society for Railway
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    • v.12 no.2
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    • pp.260-266
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    • 2009
  • The theory of risk is applied frequently in analysis of railway accidents. The aim of risk analysis is to search potential causes and contribution factors of accidents by checking the total system of construction field. This paper analyze a pattern and a cause of accident occupied in construction field, calculate risk index considering accident frequency and severity, and then provide the relative risk assessment. Based on this, this paper will provide the methodology of qualitative risk assessment guiding to reach a consistency of risk index with risk assessment.

Relationship between College Dance Students' Self-Leadership and the Cognitive Flexibility (대학 무용전공자의 셀프리더십과 인지적 유연성과의 관계)

  • Sung, So-Young
    • The Journal of the Korea Contents Association
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    • v.12 no.3
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    • pp.171-180
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    • 2012
  • The purpose of this study is to analyze the relationship between the self-leadership and the cognitive flexibility of the university students who are majoring in dance to provide useful information in the field of dance instruction. Participants were the students majoring in dance who are enrolled in the dance department of the four-year universities nationwide and 282 data have been used for the final analysis. The analytical method for verification of hypothesis was multiple regression analysis to be performed at a significance level of ${\alpha}$=.05. As the result, the following conclusions have been gained. First, the constructive thinking pattern among the sub-factors of self-leadership had a positive influence on the flexibility of preferred varieties which is a sub-factor of cognitive flexibility. However, the behavior-oriented and natural reward self-leadership did not have influence on the diversity preferred flexibility. Second, the natural reward and constructive thinking pattern among the sub-factors of self-leadership have positive influence on the flexibility of preferred complexity which is a sub-factor of cognitive flexibility while the constructive thinking pattern flexibility was shown as exercising a very powerful influence. But the behavior-oriented self-leadership did not have influence on the flexibility of preferred complexity.

A Pattern Analysis on the Possibility of Near Miss Connection in Construction Sites (건설현장의 아차사고 연결가능성에 대한 패턴분석)

  • Sang Hyun Kim;Yeon Cheol Shin;Yu Mi Moon
    • Journal of the Society of Disaster Information
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    • v.19 no.1
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    • pp.216-230
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    • 2023
  • Purpose: The purpose is to prevent accidents by predicting disasters through the analysis of near-miss. Method: In this study, a near-miss literature review and data were collected at construction sites, and a questionnaire survey was conducted to use logistic regression analysis and decision tree analysis to classify the possibility of near-miss connection. Result: As a result of analyzing the effects of near-miss types on mental, physical, and safety habits and behaviors, the factor with a high influence on the body is the need for near-miss management, the type of job is electricity·information communication, and health status in order, and the mental factor is the construction scale The influence was high, and the factors with the highest influence on the habit behavior factors were analyzed in the order of experience, number of serious injuries, and occupation in order of illusion, inappropriate work instructions, and body parts. Through decision tree analysis, factors and patterns that affect the possibility of a near-miss being a surprise accident were identified. Conclusion: Construction site officials consider the observation of near-miss and mentally and physically. Specific management of the relevance of physical aspects to near-miss should be implemented, and a work environment in which serious accidents are reduced is expected through personnel allocation, work plans, work procedures and methods, and feedback so that inappropriate work instructions do not lead to near-miss.

Flood monitoring and prediction using online unstructured data (비정형데이터를 활용한 홍수 모니터링 및 예측)

  • Lee, Jeong Ha;Hwang, Seok Hwan
    • Proceedings of the Korea Water Resources Association Conference
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    • 2019.05a
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    • pp.118-118
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    • 2019
  • 현재 홍수예보는 정형데이터인 유량 및 수위 등을 활용하여 이뤄지고 있다. 하지만 실제 사람들이 체감하는 홍수에 대한 위험도는 홍수예보 발령과는 달라 홍수예보가 이뤄지지 않은 지역에서 인명사고가 발생하기도 한다. 이는 수위 측정이 이뤄지지 않는 소규모 하천이나 사람들의 유동성이 큰 도심지역에서 빈번하게 발생한다. 이를 보완하기 위해서는 사람들의 체감 정도 및 인구의 유동성을 고려한 비정형데이터를 활용해야 한다. 특히 소셜 네트워크 서비스(Social Network Commuinty, SNS)를 사용하는 사람들이 많아지면서 기존에 사용되어 왔던 정형데이터 센서 이외의 데이터를 제공한다. 또한 개개인이 작성하는 글은 실시간으로 활용이 가능하여 인구의 유동성 및 시 공간적 데이터를 얻기에 유용하여 활용성이 매우 높은 비정형데이터이다. 따라서 본 연구에서는 SNS 데이터를 추출하고 이를 분석하여 2018년에 발생했던 강우사상과의 패턴을 비교하여 홍수예보에서의 활용성을 분석하였다. 홍수와 관련한 키워드를 중심으로 시 공간적 정보 및 추출이 가능한 웹 크롤러(Web Crawler) 프로그램을 작성하였으며 이를 토대로 데이터를 수집하였다. 수집한 데이터와 실제 홍수사상을 비교 분석을 한 결과 강우량 및 수위와 해당 지역에 대한 데이터의 양이 유사한 패턴을 보인 것으로 확인되었다. 실시간으로 데이터를 수집하고 이를 분석하여 리드타임을 충분히 확보한다면 홍수예측에 활용 가능할 것이라 생각된다. 본 연구는 한국건설기술연구원 19주요-대4-시드사업인 '커뮤니티 빅데이터 패턴 해석을 통한 수난(水難) 발생 및 규모 예측 기술 개발(20190126-001) '로 수행되었습니다.

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Research on the support system and reinforcement range of cross passage tunnel (피난연결통로터널의 지보패턴 및 보강범위 연구)

  • Jung, Min;Han, Ki-Hwan;Park, Jin-Won;Baek, Kyung-Min;Moon, Hoon-Ki
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.12 no.3
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    • pp.201-213
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    • 2010
  • Recently, plans of tunnel and construction have increased. Unfortunately, the more we have tunnels, the more we have accidents in there. Because an accident or a fire in the tunnel is fatal to user safety, social concerns are focusing on the disaster prevention facilities. Cross passage tunnel is regarded as one of the useful disaster prevention facilities, which is increasing, while there were only few studies about the support system. This study tried to verify whether the support system is appropriate or not with empirical methods-theoretical methods and back analysis using measurement data. Additionally, we also looked into the range of reinforcement in accordance with strength/stress ratio of rock mass.

Relationship in Teamwork, JobSatisfaction and Organizational Commitment according to the Type of Self-leadership: Deluxe Hotel' s Wine & Dining (셀프리더십의 유형에 따른 튐웍, 직무만족 및 조직몰입과의 관계에 관한 연구: 특급호텔 Wine & Dining 을 중심으로)

  • Kim, Yeon-Sun
    • The Journal of the Korea Contents Association
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    • v.9 no.7
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    • pp.352-360
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    • 2009
  • This study is to find out influences of self-leadership on team-work, job satisfaction and organizational commitment. To research and analyze, from October 1st to 25th in 2008, the questionary distributed 420 working employees in wine & dining five star hotel in Seoul, then used for data analysis 356. The results come up with; First, behavior-focused strategies and natural reward strategies positively had significant team-work, and also team-work highly had significant job satisfaction and organizational commitment. Second, there was not showed up any significant relationship between constructive thought pattern strategies and team-work. The implication of this study is that if hotels provided self-leadership training programs to employees working at wine & dining, those would have increase self-leadership, positively effect employee satisfaction and organizational commitment. Ultimately it will bring positive effect customer satisfaction as well.

Rock Classification Prediction in Tunnel Excavation Using CNN (CNN 기법을 활용한 터널 암판정 예측기술 개발)

  • Kim, Hayoung;Cho, Laehun;Kim, Kyu-Sun
    • Journal of the Korean Geotechnical Society
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    • v.35 no.9
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    • pp.37-45
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    • 2019
  • Quick identification of the condition of tunnel face and optimized determination of support patterns during tunnel excavation in underground construction projects help engineers prevent tunnel collapse and safely excavate tunnels. This study investigates a CNN technique for quick determination of rock quality classification depending on the condition of tunnel face, and presents the procedure for rock quality classification using a deep learning technique and the improved method for accurate prediction. The VGG16 model developed by tens of thousands prestudied images was used for deep learning, and 1,469 tunnel face images were used to classify the five types of rock quality condition. In this study, the prediction accuracy using this technique was up to 83.9%. It is expected that this technique can be used for an error-minimizing rock quality classification system not depending on experienced professionals in rock quality rating.

Optimization-based calibration method for analysis of travel time in water distribution networks (상수관망 체류시간 분석을 위한 최적화 기반 검·보정 기법)

  • Yoo, Do Guen;Hong, Sungjin;Moon, Gihoon
    • Proceedings of the Korea Water Resources Association Conference
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    • 2021.06a
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    • pp.429-429
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    • 2021
  • 2019년 발생한 인천광역시 붉은 수돗물 사태로 급수구역에 포함된 26만 1천 세대, 63만 5천 명이 직·간접적인 피해를 입은 바 있다. 경제적 피해액으로 추정할 경우 최소 1,280억 원 이상으로 보고된 바 있으며, 이와 같은 상수관망의 수질사고 확산은 장기간 동안 시민의 건강과 생활환경 수준을 저하시킨다. 따라서 상수도시스템의 수질사고확산 모델링 및 방지기술을 통한 수질안전성의 재확인이 필요하며, 이것은 상수도시스템의 지속가능성을 높여 국민이 체감하는 물 환경 수준 제고에 기여가 가능하다. 관망 내 수질해석을 직접적으로 수행하는 모델은 국외적으로 다양하게 개발(PODDS, EPANET-MSX, EPANET2.2 등)된 바 있으나 검·보정을 위한 수질측정 자료 부족 등으로 적용이 제한적이라는 한계가 현재에도 존재한다. 이를 보완하기 위해 수질자료에 비해 그 양이 많고 획득방법이 상대적으로 수월한 수리학적 계측자료 및 해석결과를 활용한 관로 내 체류시간 등을 활용한 연구가 수행된 바 있다. 그러나 이와 같은 수리학적 해석 결과를 활용하는 경우에도 계측자료를 기반으로 한 수리학적 검·보정은 필수적이라 할 수 있다. 본 연구에서는 관로 내 체류시간에 직접적인 영향을 미치는 유량 및 유속자료를 중심으로 수리학적 관망해석의 결과를 최적 검·보정하는 방법론을 제안하였다. 기존 상수관망 수리해석의 검·보정은 일부 지점에서 수압을 측정하고, 수리해석 결과로 도출되는 해당 지점의 수압이 실측된 결과와 유사하도록 관로의 유속계수를 적절히 보정하는 형태로 진행되었다. 그러나 본 연구에서는 관로유량과 유속자료의 목적함수 내 가중치를 수압자료보다 크게 설정하여 체류시간 중심의 검·보정이 수행될 수 있도록 하였으며, 검·보정 대상인자 역시 대수용가의 수요량, 수요패턴, 그리고 관로유속계수로 확장된 모형을 구축하였다. 최적화 기법으로는 메타휴리스틱 기법중 하나인 화음탐색법을 활용하였다. EPANET 2.2 Toolkit과 Visual Basic .Net을 연계하여 프로그래밍하였으며, 개발된 모형을 실제 지방상수도 시스템에 적용하여 분석하였다.

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Time Series Modeling Pipeline for Urban Behavioral Demand Prediction under Uncertainty (COVID-19 사례를 통한 도시 내 비정상적 수요 예측을 위한 시계열 모형 파이프라인 개발 연구)

  • Minsoo Jin;Dongwoo Lee;Youngrok Kim;Hyunsoo Lee
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.2
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    • pp.80-92
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    • 2023
  • As cities are becoming densely populated, previously unexpected events such as crimes, accidents, and infectious diseases are bound to affect user demands. With a time-series prediction of demand using information with uncertainty, it is impossible to derive reliable results. In particular, the COVID-19 outbreak in early 2020 caused changes in abnormal travel patterns and made it difficult to predict demand for time series. A methodology that accurately predicts demand by detecting and reflecting these changes is, therefore, required. The current study suggests a time series modeling pipeline that automatically detects and predicts abnormal events caused by COVID-19. We expect its wide application in various situations where there is a change in demand due to irregular and abnormal events.

Feasibility Study of Underground LNG Storage System in Rock Cavern (LNG 지하공동 비축시스템의 타당성분석)

  • Chung, So-Keul;Han, Kong-Chang;Park, Eui-Seob
    • Tunnel and Underground Space
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    • v.16 no.4 s.63
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    • pp.296-306
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    • 2006
  • It is difficult to solve problems regarding the adjustment on demand and supply of LNG due to seasonal variations of domestic demand of LNG, a discordance among import pattern and limits of storage facilities and so on. Also, there may be instability in LNG supply due to chances of accidents at LNG producing areas. Therefore, it is very important to secure large LNG storage facilities and to stabilize LNG supply management on a long term basis. The objective of this study is to examine the real-scale applicability of a lined underground rock storage system, which have been verified by a successful operation of the Daejeon LNG pilot plant. The new technology has many advantages of better economy, safety and environment protection, for above-ground and in-ground storage systems. The results of this study may promote the first ever real scale underground LNG storage system in a rock cavern.