• Proceedings of the Korean Society of Computer Information Conference
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• 2018.01a
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• pp.51-52
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• 2018

산업 현장에서 작업자의 잘못된 작업행동으로 인한 안전사고가 꾸준히 발생하고 있다. 현재는 관리자가 육안으로 작업자의 위험행동 여부를 관리하고 있지만, 모든 작업자를 관리자 한명이 관리하기에는 현실적으로 어려움이 있다. 본 논문에서는 이 문제를 해결하기 위해 고소 작업자의 안전벨트에 IoT 장치를 부착하여 행동 데이터를 클라우드에 업로드하고, 딥러닝을 통해 작업자 위험행동 여부를 분석한다. 분석한 결과를 관리자가 쉽게 모니터링 할 수 있도록 하여, 안전사고를 예방하도록 하는 시스템을 설계하였다.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2023.11a
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• pp.157-158
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• 2023

본 연구는 건설기계에 의한 협착 및 충돌재해의 예방을 위해 사용하고 있는 스마트 안전관리 시스템 중 건설기계 근접 방지시스템의 재해예방 효과를 분석하여 그 안전성을 실증하고자 하였다. 건설기계 중 재해다발 및 위험성이 높은 굴삭기를 대상으로 스마트 안전관리 시스템의 유무에 따라 근로자(1,000명 기준)의 행동 변화를 라이다 센스 장비를 활용하여 분석하였다. 근로자-건설기계와 최단 이격거리, 위험구역 내 근로자의 체류시간, 위험구역 주변 근로자의 이동 경로 및 체류시간에 따른 근로자의 분포도 등 근로자의 행동 패턴을 분석한 결과스마트 안전관리 시스템을 설치한 건설기계가 미설치한 건설기계보다 근로자와의 이격거리 확보와 위험구역내 체류시간을 단축한 결과를 도출하였다. 이는 스마트 안전관리 시스템이 건설기계와 관련한 협착 및 충돌 등에 의한 재해로부터 근로자의 안전성을 확보한 결과라 분석되었다.

• Journal of the Korean Institute of Gas
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• v.25 no.2
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• pp.52-63
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• 2021

Analysis of risky behavior factors for workers in the manufacturing industry enables effective human error prevention and systemization of an efficient safety management system. This study examines the relationship between the effects of workers' work psychology, work environment, and work deviation factors on risky behavior intentions and the effects of such risky behavior intentions on risky behaviors. Among the small and medium-sized manufacturing industries, the analysis was focused on a survey of 80 workers in the manufacturing and processing industry. Looking at the results, it was found that work psychology and work deviation had an effect on the intention of risky behavior, but the work environment factors corresponding to job satisfaction and workload did not affect the intention of risky behavior. The relationship with colleagues, the degree of satisfaction or dissatisfaction with the job, the degree of importance of the job that the worker feels, and the tightness of time to digest a large amount of work do not affect intentionally inducing dangerous work, but they do affect risky behavior. In the absence of intention, the work environment factor was found to accompany dangerous behavior.

• Proceedings of the Korean Institute of Industrial Safety Conference
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• 1997.11a
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• pp.203-208
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• 1997

산업현장에 앗차 위험이 지속되고 있다. 그러나 근로자들은 너무나 앗차 위험 행동에 익숙하여 무감각하게 지나쳐 버리고 있다. 이러한 의식 구조 속에서는 안전이 활성화 될 수 없으며 사고 위험으로부터 헤어나지 못하는 기업이 될 것이다. 산업현장에서 중대재해가 발생되고 나면 신경을 별로 쓰지 않은 곳에서 발생했다고 말한다. 대수롭지 않게 묵인한 것이 대형재해로 싹트기까지는 오랜시간의 앗차경험을 겪어왔던 결과치다. 근로자들의 전사적인 안전의식을 강하게 느끼고 인식하여 안전행동을 추진하는 기업은 이와 같은 유사재해도 사전에 제거할 대응 자세가 갖춰지게 될 것이다. (중략)

• Proceedings of the Korean Institute of Industrial Safety Conference
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• 2002.11a
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• pp.239-244
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• 2002

학교안전분야는 초등학교, 중학교, 고등학교로 크게 대별되며 각 분야의 학교별로 학생들의 행동양상이 다르고, 각 학교유지체제 또한 상이할 수 있다. 실질적으로 학교 안전을 확보하고 미지의 사고발생을 예견하기 위해서는 여러 위험을 찾아내는 것이 중요하다. 학교의 안전관리를 위해서는 각종 사고를 유발할 수 있는 위험확인이 첫 번째 취해야할 단계이고, 학교의 환경이나 시설 및 학생 위해를 야기할 수 있는 위험물질과 위험요인들에 관한 체크리스트를 이용하여 위험정보를 분석함으로서 학교안전관리의 수준을 높일 수 있다.(중략)

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.2
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• pp.152-166
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• 2022

This study analyzed the causal relationship among operating characteristics of commercial freight vehicles, dangerous driving behaviors, and traffic accident risk. The study applied the existing accident cause and prevention theory to arrive at this relationship. Data related to working characteristics of driver, driving experience, driving ability, driving psychology, vehicle characteristics (size), dangerous driving behavior, and traffic accidents were collected from 303 commercial freight vehicle drivers. Working characteristics and dangerous driving behavior data are based on the driver's digital driving record. The traffic accident data is based on the insurance accident data reflecting actual traffic accidents. First, a structural equation model was built and verified using the model fitness index. Then, the developed model was used to analyze the causal relationship between multiple independent and dependent variables simultaneously. Four dangerous driving behaviors (sudden deceleration, sudden acceleration, sudden passing, and sudden stop) were found to be highly related to traffic accidents. The results further indicate that it is necessary to establish a safety management policy and intensive management for small-sized freight vehicles, drivers with insufficient driving ability, and drivers with dangerous driving behaviors. Such policy and management are expected to reduce traffic accidents effectively.

• The Journal of the Korea Contents Association
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• v.15 no.2
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• pp.301-312
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• 2015

This study was conducted to provide baseline database to develop intervention program by investigating the relationship among body image, general appearance management behaviors and psychosocial health of female undergraduates'. From Sep. to Oct. 2014, total 198 participants were enrolled in this study. The data were analyzed using SPSS 21.0 program. The results were as follows: 1) The score of body image was $3.12{\pm}1.06$ in 5 points. Subjects had a lot of make-up and clothes behaviors, but exercise, food intake behaviors were lowerer than average. Also, psychosocial health score was $2.99{\pm}0.10$ point in 4 points. Whole 73.2% was latent risk group, and 25.8% was high risk group. 2) The relationship between the body image and general appearance management behaviors (p<0.001) and psychosocial health(p<0.001) revealed significant positive correlation. In general appearance management behaviors, there was a significant positive correlation between sub categories. And psychosocial health was positive correlation with body image and hair management behavior. 4) 14.4% of the psychosocial health was explained by 3 variables : body image, health interest and grade. Therefore, it would be utilized in developing programs for the positive body image building by interest own health, and being helped in the psychosocial health.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.01a
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• pp.57-58
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• 2019

본 논문에서는 앞서 진행한 연구들과 딥러닝을 이용한 고소작업자 행동 모니터링 논문에 이어 작업자 위험 행동분류 시스템을 개선할 수 있는 연구 결과를 비교, 설명한다. 이번 연구에서는 작업자의 행동에 따른 고도계 센서의 데이터를 추가로 수집하여 작업자의 더 다양한 행동을 분류하고 위험 행동 패턴 분석을 위한 방향을 제시한다.

• Korean Journal of Construction Engineering and Management
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• v.20 no.4
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• pp.69-76
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• 2019

This paper presents a method that identifies the unsafe behaviors at the level of near-misses using image analysis. The method establishes potential collision hazardous area in earthmoving operation. It is implemented using a game engine to reproduce the dangerous events that have been accepted as major difficulty in utilizing computer vision technology to support construction safety management. The method keeps realistically track of the ever-changing hazardous area by reflecting the volatile field conditions. The method opens a way to distinguish unsafe conditions and unsafe behaviors that have been overlooked in previous studies, and reflects the causal relationship which causes an accident. The case study demonstrate how to identify the unsafe behavior of a worker exposed to an unsafe area created by dump trucks at the level of near-misses and to determine the hazardous areas.

• Korean Journal of Construction Engineering and Management
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• v.18 no.2
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• pp.38-48
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• 2017

Finding causes of workers' unsafe behaviors is important to prevent construction accidents because 80 percent of accidents occur by workers' unsafe behaviors. In this regard, this research aims to investigate possible reasons of workers' unsafe behaviors based on workers' cognitive process model using System dynamics. This study is based on two ways of workers' cognitive process which are in relation to hazard perception and failure of hazard perception. Based on existing literature, causal loops for workers' cognitive process are developed to explain workers' habituation by staying out of accidents, safety learning by experience, failure of hazard perception, and attitude change by accidents. The interactions between the developed loops provide managerial insights to reduce workers' unsafe behaviors from a safety manager's perspective including increasing the probability of workers' hazard perception through knowledge management, maintaining workers' positive attitude toward safety, and controlling first-line supervisors to eliminate workers' unsafe behavior. The research allows us to better understand the causes and solutions of workers' unsafe behaviors in workers' cognitive perspectives.