인간/시스템안전분야 : 들기작업 시 몸통각도와 상완각도가 작업부담에 미치는 영향에 관한 연구

장성록 ( Seong Rok Chang ),박형구 ( Hyung Gu Park ) 한국안전학회(구-한국산업안전학회) 2009 한국안전학회지 Vol.24 No.2

들기작업 시 몸통각도와 상완각도가 작업부담에 미치는 영향에 관한 연구

장성록 ( Seong Rok Chang ),박형구 ( Hyung Gu Park ) 한국안전학회 2009 한국안전학회지 Vol.24 No.4

It is well-known that lifting capacity of a worker is influenced by body posture during the task. When a task analyst make use of RULA and REBA Trunk and upper arm angles are recorded in a separate item. It means that the interaction between the angles of two body segments may be ignored in a final score. The NLE(NIOSH Lifting Equation) has been used to supplement this problem. However, there is no study to validate the result of RWL (Recommended Workload Limit) under the existence of interactions between trunk and upper arm angles. The goal of this study was to assess the effect of the interaction between trunk and upper arm angles. Three responses, including NMVC(normalized maximum voluntary contraction), RWL(Recommended Weight Limit) and subjective judgment in psychophysical method (Borg`s scale), were recorded according to the combinations of three trunk angles and nine upper arm angles. The results showed that lifting capacity is highly influenced by interaction of two body segments(trunk and upper arm). It means that the task workload has to be analyzed along with the interaction of trunk angles and upper arm angles when the task analyst assesses potential risk factors on the postures. This study may be able to be a fundamental study to develop an assessment method for lifting task analyses according to body postures.

Digital Human Simulation을 이용한 근골격계질환 예방에 관한 연구 -조선업을 대상으로

장성록 ( Seong Rok Chang ) 한국안전학회 2007 한국안전학회지 Vol.22 No.3

근골격계 부담작업 개선에 따른 경제적 효과 분석

장성록(Seong Rok Chang),김동준(Dong Joon Kim),박주용(Ju Yong Park),김진우(Jin Woo Kim) 대한인간공학회 2007 대한인간공학회 학술대회논문집 Vol.- No.-

최근 국내 산업현장에서는 근골격계질환으로 인한 산업재해자 수가 급증하고 있는 추세이며, 특히 조선산업에서의 직?간접적인 비용손실이 큰 것으로 나타났다. 이에 따라 근골격계질환 관련 산업재해자로 인해 발생되는 손실의 정량화 및 인간공학프로그램의 도입으로 거둘 수 있는 경제적 효과를 추정하는 연구가 이루어 지고 있다. 본 연구에서는 조선산업의 작업에 대한 유해성을 평가하여, 유해작업을 분류하였다. 또한 세계 굴지의 조선회사 A 사를 대상으로 최근 3 년간(2004~2006)근골격계 질환자를 작업별로 분류하였다. 이를 토대로 작업별 유해성과 근골격계질환자 발생 상관관계를 분석하였다. 이와 더불어 조선산업의 근골격계 부담작업을 개선함으로써 근골격계질환으로 발생되는 손실을 어느 정도 경감시킬 수 있는지를 정량적으로 분석하였다.

건축공사 공종별 위험지수 산정모델에 관한 연구

장성록 ( Seong Rok Chang ),고성석 ( Seong Seok Go ),이종빈 ( Jong Bin Lee ) 한국안전학회 2007 한국안전학회지 Vol.22 No.6

사망사고와 부상사고의 산업재해분류를 위한 기계학습 접근법

강성식,장성록,서용윤,Kang, Sungsik,Chang, Seong Rok,Suh, Yongyoon 한국안전학회 2021 한국안전학회지 Vol.36 No.5

As the prevention of fatal accidents is considered an essential part of social responsibilities, both government and individual have devoted efforts to mitigate the unsafe conditions and behaviors that facilitate accidents. Several studies have analyzed the factors that cause fatal accidents and compared them to those of non-fatal accidents. However, studies on mathematical and systematic analysis techniques for identifying the features of fatal accidents are rare. Recently, various industrial fields have employed machine learning algorithms. This study aimed to apply machine learning algorithms for the classification of fatal and non-fatal accidents based on the features of each accident. These features were obtained by text mining literature on accidents. The classification was performed using four machine learning algorithms, which are widely used in industrial fields, including logistic regression, decision tree, neural network, and support vector machine algorithms. The results revealed that the machine learning algorithms exhibited a high accuracy for the classification of accidents into the two categories. In addition, the importance of comparing similar cases between fatal and non-fatal accidents was discussed. This study presented a method for classifying accidents using machine learning algorithms based on the reports on previous studies on accidents.

자연어 처리 기법을 활용한 산업재해 위험요인 구조화

강성식,장성록,이종빈,서용윤,Kang, Sungsik,Chang, Seong Rok,Lee, Jongbin,Suh, Yongyoon 한국안전학회 2021 한국안전학회지 Vol.36 No.1

The narrative texts of industrial accident reports help to identify accident risk factors. They relate the accident triggers to the sequence of events and the outcomes of an accident. Particularly, a set of related keywords in the context of the narrative can represent how the accident proceeded. Previous studies on text analytics for structuring accident reports have been limited to extracting individual keywords without context. We proposed a context-based analysis using a Natural Language Processing (NLP) algorithm to remedy this shortcoming. This study aims to apply Word2Vec of the NLP algorithm to extract adjacent keywords, known as word embedding, conducted by the neural network algorithm based on supervised learning. During processing, Word2Vec is conducted by adjacent keywords in narrative texts as inputs to achieve its supervised learning; keyword weights emerge as the vectors representing the degree of neighboring among keywords. Similar keyword weights mean that the keywords are closely arranged within sentences in the narrative text. Consequently, a set of keywords that have similar weights presents similar accidents. We extracted ten accident processes containing related keywords and used them to understand the risk factors determining how an accident proceeds. This information helps identify how a checklist for an accident report should be structured.

상선승무원들의 질병실태 조사

김재호,장성록,문성배,하해동,양원재,이상우,Kim Jae-Ho,Chang Seong-Rok,Moon Serng-Bae,Ha Hae-Dong,Yang Won-Jae,Lee Sang-Woo 한국항해항만학회 2006 한국항해항만학회지 Vol.30 No.6

상선승무원들의 승선근무로 인한 질병 발생 실태를 조사하여 승선근무로 인해 발생되는 질병예방 및 건강증진을 위한 기초 자료를 제공하기 위한 목적으로 1049명의 상선승무원들을 대상으로 설문 및 면접을 통해 조사 분석한 결과는 다음과 같다. 최근 12개월 동안 승선 중 당직근무에 지장을 받을 정도의 질병을 경험한 선원은 69.0%였으며, 질병경험분포에 유의성을 나타낸 변수는 연령(p<0.05), 소득수준(p<0.01), 승선경력(p<0.01), 직급(p<0.01), 건강인식도(p<0.01), 건강염려도(p<0.01), 피로도(p<0.01), 직업만족도(p<0.05), 휴식시간(p<0.05) 등이었으며, 질병경험은 치주질환 7.3%>무좀 6.6%>위궤양 6.4%>외상 5.3% 순이었다. 질병군별 질병발생은 근골격계질환이 17.8%로 가장 많았고 구강계질환 13.6%> 피부계질환 12.4%> 소화계질환 12.1% 순이었으며, 발생 질병의 불편기간은 31일 이상이 35.7%, 입원기간과 치료기간은 각각 7일 이하가 50.2%, 42.8%였고 의료시설 이용은 의원급이 27.9%로 가장 높게 조사되었다. The purpose of this study was to find out morbidity rate and pattern of disease and affect of variables related disease and medical management of seafares'. The subjects this study were 1049 seafares' were took education in Korea Institute of Maritime and Fisheries Technology. This questionnaire was focused on finding the basic data for prevention of disease and promotion health for the seafares'. The collected data were analyzed by using descriptive statistics, Chi-square, cross tab, linear regression by SPSS 10.1 package. The result of this study are as follow. 1)The morbidity rate within recent 12 months was 69.0%. 2)there were significant differences qf occurred disease in age(p<0.05), income(p<0.01), career of ship on board(p<0.01), rank(p<.01), perceived health status(p<0.01), worry of health(p<0.01), fatigue symptoms(0.01), satisfy of job(p<0.05), rest time(p<0.05) 3) Considering disease unable to work more than 4 hour, the number of those who had oral disease 7.3%> tinea 6.6%> gastric ulcer 6.4, and musculoskeletal disease group were 20.9%, which revealed the highest rate oral disease 13.6%> skin disease> 12.4%, digestive disease> 12.1%. 4) As refer to medical management, The pain above 31days 35.7%, hospitalization and treatment below 7days were each 50.2%, 42.8%, medical service were doctor's office 27.9, which revealed the highest rate.

ooCBD방법론을 적용한 조선소의 HSE관리시스템 설계

오현수,장성록,김동준,Oh, Hyun-Soo,Chang, Seong-Rok,Kim, Dong-Joon 해양환경안전학회 2013 해양환경안전학회지 Vol.19 No.1

Smart work는 정보통신기술을 이용하여 시간과 공간의 제약 없이 언제, 어디서든 근로자가 업무를 수행할 수 있는 유연한 근무형태를 의미한다. 스마트워크의 유형에는 모바일 오피스, 홈 오피스, 센터근무, 원격협업으로 분류할 수 있다. 태블릿PC나 스마트폰을 이용한 스마트워크 방식을 모바일 오피스라고 하며, 이동통신망과 휴대 단말기를 이용한 서비스를 제공하는 방식이다. 모바일 오피스는 무선환경과 스마트기기를 이용하여 움직이는 사무실을 구현하는 것으로 언제, 어디서나 사내 시스템에 접속하여 정보 검색은 물론 결재, 승인 등의 업무를 수행할 수 있다. 이러한 모바일 오피스 시스템을 조선소에 적용한다면, 실시간 처리로 근로자들의 생산성과 업무 효율성을 향상 시킬 수 있다. 따라서 본 연구는 조선업을 위한 HSE관리 모바일 어플리케이션 개발을 위해 기능을 추출하고 설계하는 것이 목적이다. 모바일용 HSE 관리 어플리케이션을 개발하기 위해 10개의 기능들을 추출하였고, ooCBD 방법론을 이용하여 설계하였다. Smart work has been gaining more popularity recently. Smart work means that employees perform their works anytime and anywhere as utilizing the information and communication technology. It can be divided into four categories; the mobile office, the home office, the work-at-center and the tele-cooperation. Among them, the mobile office based on tablet personal computers(PCs) or smart phones, employees can exchange information with tablet PCs or smart phones via mobile radio communication networks and portable terminals. Smart devices such as tablet PCs and smart phones help to access intranet system for requests, approvals, information search whenever employees need. This mobile office system for real-time HSE managing can contribute to improve the productivity and work efficiency in a shipyard. In this study, the main goal is to design the specialized mobile application for the HSE management system on the shipbuilding industry. The mobile application including 10 functions is designed based on ooCBD(object-oriented Component Based Development) methodology.

근골격계질환 예방을 위한 조선업종에서 인간공학 프로그램의 운영과 효과에 관한 연구

김유창 ( Yu Chang Kim ),장성록 ( Seong Rok Chang ) 한국안전학회 2006 한국안전학회지 Vol.21 No.6