• 제목/요약/키워드: Near Miss

검색결과 62건 처리시간 0.023초

주관기업과 협력기업의 안전문화 인식 차이에 관한 연구 (A study on the difference in the safety culture cognition of host company and subcontractor)

  • 최병길;윤석준;최서연;문경환
    • 대한안전경영과학회지
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    • 제17권3호
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    • pp.173-183
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    • 2015
  • The study conducted questionnaire analysis on 607 host company employee and 404 subcontractor employee in order to examine the difference in the safety culture cognition of host company and subcontractor. As a result, host company had higher recognition in all safety culture factors compare to that of subcontractor, and there were bigger gap of cognition in the 'cognition in safety status and culture', 'accident and near-miss', 'immediate superior's concentration degree in safety and health' than that of other cognition factors. Furthermore, team leaders showed the highest cognition in both host company and subcontractor, and employees with above 20 year career had the highest cognition in both host company and subcontractor. There is high relationship between host company and subcontractor in the correlations in safety culture cognition factors. Through this study, we identified the difference in the safety culture cognition factor of host company and subcontractor.

환자안전사고 보고서를 통한 간호사 투약오류 분석 (Analysis of Medication Errors of Nurses by Patient Safety Accident Reports)

  • 구미지
    • 임상간호연구
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    • 제27권1호
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    • pp.109-119
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    • 2021
  • Purpose: The purpose of this study was to identify and analyze the characteristics of nurses' medication errors during three years. Methods: Retrospective survey study design was used to analyze medication errors by nurses among patient safety accidents. Data were collected for three years from January, 2017 to December, 2019. Data were analyzed using frequency, percentage, 𝑥2-test, and logistic regression with SPSS 26.0 program. Results: Of a total 677 medication errors, 40.6% were caused by nurses. Among the medication errors, near miss (n=154, 56.0%), intravenous bolus injection (n=170, 61.8%), wrong dose (n=102, 37.1%) and carelessness for repetitive work (n=98, 35.6%) were the most common. Medication errors differed by department, and nurses' career, and patient safety accident type. The results of the logistic regression analysis showed that the risk factors of adverse events were medication of fluids (OR=3.93, 95% CI: 1.26~12.27), insulin subcutaneous injection (OR=39.06, 95% CI: 4.58~333.18), and occurrence of extravasation/infiltration (OR=7.26, 95% CI: 1.85~28.53). Conclusion: The simplest and most effective way to prevent medication errors is to keep 5 right, and a differentiated education program according to department and nurse career is needed rather than general education programs. Hospital-level integrated interventions such as a medication barcode system or a team nursing method are also necessary.

Prevention through Design (PtD) of integrating accident precursors in BIM

  • Chang, Soowon;Oh, Heung Jin;Lee, JeeHee
    • 국제학술발표논문집
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    • The 9th International Conference on Construction Engineering and Project Management
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    • pp.94-102
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    • 2022
  • Construction workers are engaged in many activities that may expose them to serious hazards, such as falling, unguarded machinery, or being struck by heavy construction equipment. Despite extensive research in building information modeling (BIM) for safety management, current approaches, detecting safety issues after design completion, may limit the opportunities to prevent predictable and potential accidents when decisions of building materials and systems are made. In this respect, this research proposes a proactive approach to detecting safety issues from the early design phase. This research aims to explore accident precursors and integrate them into BIM for tracking safety hazards during the design development process. Accident precursors can be identified from construction incident reports published by OSHA using a text mining technique. Through BIM-integrated accident precursors, construction safety hazards can be identified during the design phase. The results will contribute to supporting a successful transition from the design stage to the construction stage that considers a safe construction workplace. This will advance the body of knowledge about construction safety management by elucidating a hypothesis that safety hazards can be detected during the design phase involving decisions about materials, building elements, and equipment. In addition, the proactive approach will help the Architecture, Engineering and Construction (AEC) industry eliminate occupational safety hazards before near-miss situations appear on construction sites.

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Health and Safety Performance of UK Universities and How to Improve It

  • Olga Kuzmina;Douglas Searle
    • Safety and Health at Work
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    • 제15권2호
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    • pp.139-146
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    • 2024
  • Background: This research suggested a method for evaluating health and safety performance as a combination of reactive and active monitoring. Methods: A number of Freedom of Information requests (FoI) were sent to the Health and safety Executive (HSE) and 100 UK universities. Data on the number of reportable incidents, diseases and dangerous occurrences were compiled for UK universities and combined with the Impact Ranking for good health and well-being. A semi-structured survey was used to identify best H&S practices. Subsequently, the effect of workers' involvement in H&S management on RIDDOR and near-miss reports, was investigated using statistical analysis. Results: A ranking of UK universities that perform highly in Health and Safety (H&S) was assembled and selected universities were contacted to identify best practices. Best practices were divided into three categories: team management, roles and responsibilities, and H&S performance monitoring. One of the findings demonstrated a reverse dependence between provision of a refresher training in risk assessments and a number of reported RIDDOR incidents. Conclusion: Health and Safety professionals in the universities may find it useful to reflect on these findings and the identified best practices in order to improve the H&S performance in their own organisations.

천리안 위성의 기상탑재체 보정을 위한 달 영상 획득 방안 (Moon Imaging for the Calibration of the COMS Meteorological Imager)

  • 박봉규;양군호
    • 항공우주기술
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    • 제9권2호
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    • pp.44-50
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    • 2010
  • 천리안위성은 기상탑재체, 해양탑재체 그리고 Ka-밴드 탑재체를 장착한 다목적 정지궤도 위성이다. 기상탑재체 가시채널의 품질을 향상 시기키 위하여 알베도(Albedo) 관측 정보를 주로 사용하며 경우에 따라서 달 영상을 보조수단으로 사용하는 것을 고려하고 있다. 그러나 궤도상 시험 이후 별도의 달 영상을 촬영하는 것은 권장되지 않는다. 별도의 관측을 수행할 경우 해당 기간 동안 기상 영상 획득이 불가능하기 때문이다. 본 논문에서는 달이 지구 근처에 있을 때 전구촬영을 통해 달의 영상을 획득하는 방법을 고려하였다. 이 경우도 달 영상을 얻는 것이 쉽지 않은데 그 이유는 기상탑재체는 스캐닝 형태의 센서인 반면 달은 계속 이동하기 때문이다. 또한 기상탑재체의 관측영역 내에 있지 않거나 지구 뒤에 위치한 경우 이미지를 얻을 수 없다. 따라서 본 논문에서는 전구촬영을 통해 달 영상을 얼마나 효과적으로 얻을 수 있는 지에 대한 분석을 수행하였다. 달 영상 획득시간을 예측하기 위한 방법론을 기술하고 시뮬레이션을 통해 얻어진 결과들을 정리하였다.

Propulsion System Design and Optimization for Ground Based Interceptor using Genetic Algorithm

  • Qasim, Zeeshan;Dong, Yunfeng;Nisar, Khurram
    • 한국추진공학회:학술대회논문집
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    • 한국추진공학회 2008년 영문 학술대회
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    • pp.330-339
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    • 2008
  • Ground-based interceptors(GBI) comprise a major element of the strategic defense against hostile targets like Intercontinental Ballistic Missiles(ICBM) and reentry vehicles(RV) dispersed from them. An optimum design of the subsystems is required to increase the performance and reliability of these GBI. Propulsion subsystem design and optimization is the motivation for this effort. This paper describes an effort in which an entire GBI missile system, including a multi-stage solid rocket booster, is considered simultaneously in a Genetic Algorithm(GA) performance optimization process. Single goal, constrained optimization is performed. For specified payload and miss distance, time of flight, the most important component in the optimization process is the booster, for its takeoff weight, time of flight, or a combination of the two. The GBI is assumed to be a multistage missile that uses target location data provided by two ground based RF radar sensors and two low earth orbit(LEO) IR sensors. 3Dimensional model is developed for a multistage target with a boost phase acceleration profile that depends on total mass, propellant mass and the specific impulse in the gravity field. The monostatic radar cross section (RCS) data of a three stage ICBM is used. For preliminary design, GBI is assumed to have a fixed initial position from the target launch point and zero launch delay. GBI carries the Kill Vehicle(KV) to an optimal position in space to allow it to complete the intercept. The objective is to design and optimize the propulsion system for the GBI that will fulfill mission requirements and objectives. The KV weight and volume requirements are specified in the problem definition before the optimization is computed. We have considered only continuous design variables, while considering discrete variables as input. Though the number of stages should also be one of the design variables, however, in this paper it is fixed as three. The elite solution from GA is passed on to(Sequential Quadratic Programming) SQP as near optimal guess. The SQP then performs local convergence to identify the minimum mass of the GBI. The performance of the three staged GBI is validated using a ballistic missile intercept scenario modeled in Matlab/SIMULINK.

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Discrepancies Between Implementation and Perceived Effectiveness of Leading Safety Indicators in the US Dairy Product Manufacturing Industry

  • Derlyke, Peter Van;Marin, Luz S.;Zreiqat, Majed
    • Safety and Health at Work
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    • 제13권3호
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    • pp.343-349
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    • 2022
  • Background: In the United States, the dairy product manufacturing industry has consistently had higher rates of work-related nonfatal injuries and illnesses compared to the national average for industries in all sectors. The selection and implementation of appropriate safety performance indicators are important aspect of reducing risk within safety management systems. This study examined the leading safety indicators implemented in the dairy product-manufacturing sector (NAICS 3115) and their perceived effectiveness in reducing work-related injuries. Methods: Perceptions were collected from individuals with safety responsibilities in the dairy product manufacturing facilities. OSHA Incident Rate (OIR) and Days away, restricted and transferred (DART) rates from 2013 to 2018 were analyzed. Results: The perceived most effective leading were safety observations, stop work authority, near miss reporting, safety audits, preventative maintenance, safety inspections, safety training attendance, and job hazard analysis/safety analysis, respectively. The 6-year trend analysis showed that those implementing all eight top indicators had a slightly lower rates than those that did not implement all eight. Production focused mentality, poor training, and lack of management commitment were perceived as the leading causes of injuries in this industry. Conclusion: Collecting leading indicators with the unique interest to meet the regulatory requirements and to document the management system without the actual goal of using them as input to improve the system most probably will not lead to an effective reduction of negative safety outcomes. For leading indicators to be effective, they should be properly selected, executed, periodically evaluated and actions are taken when necessary.

Machine Learning-based landslide susceptibility mapping - Inje area, South Korea

  • Chanul Choi;Le Xuan Hien;Seongcheon Kwon;Giha Lee
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2023년도 학술발표회
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    • pp.248-248
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    • 2023
  • In recent years, the number of landslides in Korea has been increasing due to extreme weather events such as localized heavy rainfall and typhoons. Landslides often occur with debris flows, land subsidence, and earthquakes. They cause significant damage to life and property. 64% of Korea's land area is made up of mountains, the government wanted to predict landslides to reduce damage. In response, the Korea Forest Service has established a 'Landslide Information System' to predict the likelihood of landslides. This system selects a total of 13 landslide factors based on past landslide events. Using the LR technique (Logistic Regression) to predict the possibility of a landslide occurrence and the accuracy is known to be 0.75. However, most of the data used for learning in the current system is on landslides that occurred from 2005 to 2011, and it does not reflect recent typhoons or heavy rain. Therefore, in this study, we will apply a total of six machine learning techniques (KNN, LR, SVM, XGB, RF, GNB) to predict the occurrence of landslides based on the data of Inje, Gangwon-do, which was recently produced by the National Institute of Forest. To predict the occurrence of landslides, it is necessary to process converting landslide events and factors data into a suitable form for machine learning techniques through ArcGIS and Python. In addition, there is a large difference in the number of data between areas where landslides occurred or not. Therefore, the prediction was performed after correcting the unbalanced data using Tomek Links and Near Miss techniques. Moreover, to control unbalanced data, a model that reflects soil properties will use to remove absolute safe areas.

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콘크리트 두께와 자철광 함량에 따른 방탄 성능 평가 (Evaluation of Ballistic Resistance Performance by Thickness and Proportion of Magnetic Aggregate of Concrete)

  • 임채연;김국주;노정헌;장창수;박영준
    • 한국건축시공학회지
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    • 제20권1호
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    • pp.43-51
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    • 2020
  • 소부대 방호시설의 주된 목적은 적의 모든 무기체계에 대한 완벽한 방호가 아니며, 한국군의 경우, 지근탄에 대한 방호를 적용하고 있다. 특히 소구경 탄자의 경우, KM 80탄을 기준으로 설정하고 있는데, 이에 대한 경험적 설계방법과 구조공학적 설계방법 모두 현실을 제대로 반영하지 못한다는 선행연구들이 있다. 이에 실사격 실험을 수행한 선행연구에서는 콘크리트 슬래브의 소구경 탄자에 대한 관입저항력 계산식을 제안한 바 있다. 그러나, 해당 실험에서는 콘크리트 강도만을 변수로 설정하였고 콘크리트의의 두께, 굵은골재의 종류, 탄자의 편주각, 고강도 콘크리트 등에 대한 변수가 고려되지 않았다. 따라서 본 연구에서는 콘크리트의 두께와 자철광의 함량에 따른 방탄성능을 평가하였다. 그 결과 탄자의 편주각에 의한 오차를 연발사격에 의해 상쇄시킬 수 있다는 것과 자철광의 함량과 콘크리트 두께는 방호성능 향상에 영향을 주지 않는다는 것을 통계적으로 확인하였다.

A Comparison of the Clinical Competence, Knowledge of Patient Safety Management and Confidence of Patient Safety Management according to Clinical Practice Experience of Nursing Students

  • Lim, Jae-Ran;Song, Hyo-Suk
    • 한국컴퓨터정보학회논문지
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    • 제26권7호
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    • pp.65-73
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    • 2021
  • 본 연구의 목적은 간호대학생의 임상실습 경험에 따른 임상수행능력, 환자안전관리지식 및 환자안전관리 수행자신감의 차이를 비교하기 위함이다. 간호대학생 3학년을 대상으로 임상실습을 경험한 73명, 임상실습을 경험하지 못한 35명으로 총 108명 분석하였다. 분석방법으로는 동질성 검정은 X2-test, 두 그룹간의 차이비교는 independent t-test로 분석하였다. 연구결과로 두 그룹간의 임상수행능력(t=.88, p=.377), 환자안전관리지식(t=-.29, p=.773) 및 환자안전관리 수행자신감(t=1.11 p=.267)의 차이는 통계적으로 유의하지 않았다. 두 그룹에서 각 변수의 하위영역별 가장 점수가 낮은 항목을 살펴보면, 첫째, 임상수행능력에서는 간호과정에 대한 영역에서 대체로 점수가 낮았고, 둘째, 환자안전관리 지식은 근접오류에 대한 개념에 대한 지식 측정 영역에서 가장 낮았으며, 셋째, 환자안전관리 수행자신감에서는 오류 발생 시 사건 보고서 작성에 대한 수행 자신감 영역에서 점수가 가장 낮은 것으로 확인되었다. 따라서 간호대학생의 임상수행능력의 질적 향상을 위해서 임상실습교육환경 개선이 절실하게 요구되며, 간호대학생의 환자안전관리 역량 증진 및 환자안전관리에 대한 올바른 태도 함양을 위해 전략적인 교육지침의 개발이 필요하다.