• Title/Summary/Keyword: Near Miss

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

  • Choi, Byung-Gil;Yoon, Seok-Joon;Choi, Seo-Yeon;Moon, Kyoung-Whan
    • Journal of the Korea Safety Management & Science
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    • v.17 no.3
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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.

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

  • Koo, Mi Jee
    • Journal of Korean Clinical Nursing Research
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    • v.27 no.1
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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
    • International conference on construction engineering and project management
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    • 2022.06a
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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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    • v.15 no.2
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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.

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

  • Park, Bong-Kyu;Yang, Koon-Ho
    • Aerospace Engineering and Technology
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    • v.9 no.2
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    • pp.44-50
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    • 2010
  • COMS accommodates multiple payloads; Meteorological Image(MI), Ocean Color Imager(GOCI) and Ka-band communication payloads. In order to improve the quality of MI visible channel, the moon image has been taken into account as backup reference in addition to Albedo monitoring. However, obtaining the moon image by adding special mission schedule is not recommended after IOT, because we may miss chances to obtain meteorological images during the time slots for special imaging. As an alternative solution, an approach extracting moon image from MI FD(Full Disk) image has been proposed when the moon is positioned near to the earth. However, prediction of acquisition time of moon image is somewhat difficult as the moon moves while the MI is scanning type sensor. And the moon can not be seen when it is behind the earth or outside of FD field of view. This paper discusses how effectively the moon can be detected by the MI FD imaging. For that purpose, this paper describes an approach taken to predict the time when the moon image is achievable and then introduces the results obtained from computer simulation.

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

  • Qasim, Zeeshan;Dong, Yunfeng;Nisar, Khurram
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2008.03a
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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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    • v.13 no.3
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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
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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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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Evaluation of Ballistic Resistance Performance by Thickness and Proportion of Magnetic Aggregate of Concrete (콘크리트 두께와 자철광 함량에 따른 방탄 성능 평가)

  • Lim, Cha-Yeon;Kim, Kuk-Joo;Roh, Jeong-Heon;Jang, Chang-Su;Park, Young-Jun
    • Journal of the Korea Institute of Building Construction
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    • v.20 no.1
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    • pp.43-51
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    • 2020
  • The main purpose of protective facility for small military unit is to provide the protection of not all the weapons system but the near-miss bullet in Korean army. In particular about the small caliber bullets, especially KM80 in Korea, there were many studies that both of the experiential and structural design methods dose not reflect enough the military threat. For that reason, a new equation to calculate effective anti-piercing depths for RC slabs against small caliber bullets is proposed in earlier research with actual shooting test. But, the test only considers the strength of concrete without the thickness of concrete, types of aggregate, the angle of yaw of bullet, high-strength concrete, etc. Therefore, this study evaluated the ballistic resistance performance by thickness and proportion of magnetic aggregate of concrete. As a result, we identified two major statistical estimations that the error of piercing depth by the angle of yaw of bullet could be cancelled by barrage and the thickness and proportion of magnetic aggregate of concrete dose not effect on the protection ability of concrete structure.

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
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.7
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    • pp.65-73
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    • 2021
  • The purpose of this study is to cornpare the differences in clinical competence, knowledge of patient safety management and confidence of patient safety management according to the clinical practice experience of nursing students, Of the 73 nursing students who experienced clinical practice and 35 nursing students who did not experience, a total of 108 students in the third grade were analyzed, In the results of this study, clinical competence(t=.88, p=.377) knowledge of patient safety management(t=-.29, p=.773), and confidence of patient safety management(t=1.11, p=.267) the difference between was not statistically significant in the two groups. In the two groups, the score of the sub-area according to each variable is the lowest. First, the sub-area of the nursing process a lowest score in clinical competence, and the second, the sub-area of measuring knowledge about concept of near miss was the Knowledge of patient safety management. The score was the lowest in, and thirdly, the sub-area of writing an incident report when an error occurred had the lowest score in confidence of patient safety management. Therefore, in order to improve the quality of clinical competence of nursing students, it is necessary to develop a strategic educational guideline to improve the clinical practice education environment, to improve patient safety management capabilities and to cultivate correct attitudes toward patient safety management.