• 제목/요약/키워드: Human Errors

검색결과 724건 처리시간 0.027초

인적오류가 관여된 철도 사고의 체계적 분석을 위한 FRAM의 활용 (A FRAM-based Systemic Investigation of a Rail Accident Involving Human Errors)

  • 최은비;함동한
    • 대한안전경영과학회지
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    • 제22권1호
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    • pp.23-32
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    • 2020
  • There has been a significant decline in the number of rail accidents in Korea since system safety management activities were introduced. Nonetheless, analyzing and preventing human error-related accidents is still an important issue in railway industry. As a railway system is increasingly automated and intelligent, the mechanism and process of an accident occurrence are more and more complicated. It is now essential to consider a variety of factors and their intricate interactions in the analysis of rail accidents. However, it has proved that traditional accident models and methods based on a linear cause-effect relationship are inadequate to analyze and to assess accidents in complex systems such as railway systems. In order to supplement the limitations of traditional safety methods, recently some systemic safety models and methods have been developed. Of those, FRAM(Functional Resonance Analysis Method) has been recognized as one of the most useful methods for analyzing accidents in complex systems. It reflects the concepts of performance adjustment and performance variability in a system, which are fundamental to understanding the processes of an accident in complex systems. This study aims to apply FRAM to the analysis of a rail accident involving human errors, which occurred recently in South Korea. Through the application of FRAM, we found that it can be a useful alternative to traditional methods in the analysis and assessment of accidents in complex systems. In addition, it was also found that FRAM can help analysts understand the interactions between functional elements of a system in a systematic manner.

Compatibility of the Direction Sign on the Pendant Switch of Overhead Cranes

  • Park, Jae Hee
    • 대한인간공학회지
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    • 제34권1호
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    • pp.75-83
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    • 2015
  • Objective: The aim of this study is to suggest the standard of the direction sign on the pendant switch of overhead cranes which can reduce human errors in control. Background: A great number of crane accidents occur in industries. One of the major causes of the accidents is the mistake in the control of cranes by confusing the orientation of crane movements. Nevertheless, three different direction sign styles, 'East, West, South, North (EWSN)', 'Forward, Backward, Left, Right (FBLR)', and arrows for four directions are used without standardization. Method: An overhead crane simulator was installed for a laboratory experiment. It could move along six directions by the control of a pendant switch. 90 participants were evenly assigned to the three different conditions of direction sign styles. The participants were asked to control the pendant switch according to the continuously appearing 16 direction signs on a monitor ahead. The participants were allowed to refer an orientation sign board on the ceiling representing correct movement directions of the overhead crane simulator. Results: The direction sign style, 'EWSN', showed statistically significant better performance in task completion time and number of errors than the other sign styles. The direction sign style, 'EWSN', adopting the cardinal direction system, made the participants clear in direction controls after customizing to the crane movements. However, the direction sign styles, 'FBLR' and the arrows adopting the relative direction system made conflicts in direction controls due to the egocentric view of human. Conclusion: The direction sign style, 'EWSN', is the most appropriate for the standardization of the direction sign on the pendant switch of overhead cranes. Application: The results of this study can be applied to the standardization of direction sign in the legal notification on the safety certifications of crane manufacturing.

철자오류의 통계자료에 근거한 철자오류 교정시스템 (A Spelling Correction System Based on Statistical Data of Spelling Errors)

  • 임한규;김응모
    • 한국정보처리학회논문지
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    • 제2권6호
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    • pp.839-846
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    • 1995
  • 본 논문에서는 우리가 실제 문서 편집기에서 범하는 철자 오류를 수집하고 분석 하여, 이러한 자료를 근거로 철자 오류를 교정할 수 있게 후보를 제시하는 시스템을 구축하였다. 오류가 발견된 어절에서, 각 음절의 후보를 생성함에 있어서 자소별/음절 별 빈도수를 고려하여 개수를 최소화했으며, 따라서 후보 어절의 개수도 최소화할 수 있었다. 후보 어절의 개수는 평균 3.1개에서 8개였으며, 제시된 후보 어절 중에는 맞는 어절이 62.1% 포함되어져 있었다.

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A Heuristic Methodology for Fault Diagnosis using Statistical Patterns

  • Kwon, Young-il;Song, Suh-ill
    • 품질경영학회지
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    • 제21권2호
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    • pp.17-26
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    • 1993
  • Process fault diagnosis is a complicated matter because quality control problems can result from a variety of causes. These causes include problems with electrical components, mechanical components, human errors, job justification errors, and air conditioning influences. In order to make the system run smoothly with minimum delay, it is necessary to suggest heuristic remedies for the detected faults. Hence, this paper describes a heuristic methodology of fault diagnosis that is performed using statistical patterns generated by quality characteristics The proposed methodology is described briefly as follows: If a sample pattern generated by random variables is similar to the number of prototype patterns, the sample pattern may be matched by any prototype pattern among them to be resembled. This concept is based on the similarity between a sample pattern and the matched prototype pattern. The similarity is calculated as the weighted average of squared deviation, which is expressed as the difference between the relative values of standard normal distribution to be transformed by the observed values of quality characteristics in a sample pattern and the critical values of the corresponding ones in a matched prototype pattern.

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선삭에서 회절격자를 이용한 크레이터마모 측정장치 개발에 관한 연구 (A Study on the Development of Measurement Setup for Crater Wear by Diffraction Grating in Turning)

  • 김영일;김세진
    • 한국정밀공학회지
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    • 제9권1호
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    • pp.82-95
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    • 1992
  • There is the high interest for sensing of tool wear with the aim of controlling machine tools productivity from the point of view of qualitity. Difficulties in this measurement are also known. This study is on the development of measurement setup for crater wear by CCD image inturning. In this study, the crater wear measurement system consists of the He-Ne gas laser, diffraction grating. CCD camera, noise filter, slit, microcomputer, diverging lens, converging lens and so on. He-Ne laser beam passes through a diverging lens and a diffraction grating is positioned properly. A converging lens focuses so that the interference fringes can be obtained on the crater wear. Performance test revealed that the developed image technique provides precise, absolute tool-wear quantification and reduces human measurement errors. The results obtained are as follows 1. The digitizing of one image requires less than 2ses. 2. It can give detailed information on crater wear with limited times and errors 3. All parameters required by specification are easily obtained for several points of the cutting edge.

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샷 경계검출 개선을 위한 칼라, 엣지, 옵티컬플로우 기반의 혼합형 알고리즘 구현 (The Implementing a Color, Edge, Optical Flow based on Mixed Algorithm for Shot Boundary Improvement)

  • 박서린;임양미
    • 한국멀티미디어학회논문지
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    • 제21권8호
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    • pp.829-836
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    • 2018
  • This study attempts to detect a shot boundary in films(or dramas) based on the length of a sequence. As films or dramas use scene change effects a lot, the issues regarding the effects are more diverse than those used in surveillance cameras, sports videos, medical care and security. Visual techniques used in films are focused on the human sense of aesthetic therefore, it is difficult to solve the errors in shot boundary detection with the method employed in surveillance cameras. In order to define the errors arisen from the scene change effects between the images and resolve those issues, the mixed algorithm based upon color histogram, edge histogram, and optical flow was implemented. The shot boundary data from this study will be used when analysing the configuration of meaningful shots in sequences in the future.

항공관제시스템 개발을 위한 현시시스템 연구 (The research of the Control Work Position for developing ATC)

  • 나상일;이준우;원인수;최상방;박효달;정동석
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2008년도 하계종합학술대회
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    • pp.1197-1198
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    • 2008
  • The purpose of the Air Traffic Control(ATC) system is to provide a safe, efficient flow of air traffic from origin to destination. Therefor, it is important to reduce the operational errors. Most of errors occurs from controllers. So, we suggest the human machine interface scheme for Air Traffic Control system.

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컴퓨터메세지의 다국어자동생성 (Multilingual automatic generation of computer system message)

  • 최석두
    • 정보관리학회지
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    • 제3권2호
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    • pp.3-17
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    • 1986
  • 컴퓨터시스템메세지는 이용자가 그 시스템을 이해하는데 중요한 역할을 한다. 이해하기 어렵거나 부정확한 메세지는 더 많은 에러를 유발시키기도 한다. 좋지않은 메세지의 보다 큰 문제점은 이용자가 메세지의 이해부족으로 인해 컴퓨터이용에 대한 의욕이 일단 무너지면 다시 일으켜 세우는 것이 매우 어렵다는데 있다. 본고에서는 컴퓨터시스템과 이용자간의 인터페이스향상의 일례로서 영문컴퓨터메세지의 한국어 및 일본어의 자동생성에 관하여 실례와 함께 논한다.

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A Study on the Observer Training and Implementation for Effective Normal Operation Safety Survey (NOSS)

  • Choi, Jin-Kook;Choi, Se-Jong
    • 한국항공운항학회지
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    • 제29권2호
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    • pp.111-116
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    • 2021
  • Normal Operation Safety Survey (NOSS) is a safety management tool used by air traffic control organizations to measure data related to threats and errors to proactively prevent accidents before they occur. NOSS was developed to be applied to the air traffic control field according to the concept of Line Operation Safety Audit (LOSA) conducted by airlines to reduce human errors in the cockpits. Safety management based on data is crucial for the prevention of control-related accidents, and the competency of observers for this is important for the successful implementation of NOSS. Based on LOSA implementation experiences and expert interviews, this paper introduces the international NOSS methods and discusses the key factors required for effective observation and the implementation methods and implications of NOSS observer training.

AI-based language tutoring systems with end-to-end automatic speech recognition and proficiency evaluation

  • Byung Ok Kang;Hyung-Bae Jeon;Yun Kyung Lee
    • ETRI Journal
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    • 제46권1호
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    • pp.48-58
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    • 2024
  • This paper presents the development of language tutoring systems for nonnative speakers by leveraging advanced end-to-end automatic speech recognition (ASR) and proficiency evaluation. Given the frequent errors in non-native speech, high-performance spontaneous speech recognition must be applied. Our systems accurately evaluate pronunciation and speaking fluency and provide feedback on errors by relying on precise transcriptions. End-to-end ASR is implemented and enhanced by using diverse non-native speaker speech data for model training. For performance enhancement, we combine semisupervised and transfer learning techniques using labeled and unlabeled speech data. Automatic proficiency evaluation is performed by a model trained to maximize the statistical correlation between the fluency score manually determined by a human expert and a calculated fluency score. We developed an English tutoring system for Korean elementary students called EBS AI Peng-Talk and a Korean tutoring system for foreigners called KSI Korean AI Tutor. Both systems were deployed by South Korean government agencies.