• 한국산업보건학회지
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• 제24권1호
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• pp.91-102
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• 2014

Objectives: This study was performed in order to devise a procedure for supplementing the Special Management Materials in the Occupational Safety and Health Act and recommend candidate materials. The results are expected to be used as fundamental data for classification and criteria necessary to manage Special Management Materials in workplaces. Also, they are expected to be used as a basis for selecting target materials to nominate as additional Special Management Material. Methods: We investigated the selection standards for candidates and review ranges of data sources to nominate Special Management Materials. The substances classified as GHS(Globally Harmonized System of classification and labeling of chemicals) category 1A(known to have carcinogenic potential and reproductive toxicity for humans) or 1B(presumed to have carcinogenic potential and reproductive toxicity for humans) carcinogens and reproductive toxicants among the Controlled Hazardous Substances of the Regulation on Occupational Safety and Health Standards and substances with OELs(Occupational Exposure Limits) were inspected as the candidates for Special Management Materials. Conclusions: A seven-step procedure for selecting candidates to designate as Special Management Materials was suggested, including the setting of target chemicals for evaluation, classification of CMR(Carcinogens, Mutagens or Reproductive toxicants) by GHS classification and criteria, suggestion and selection of the candidates, and more. This study recommends 58 chemicals as qualified candidates to supplement the Special Management Materials.

• 한국항행학회논문지
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• 제26권6호
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• pp.528-535
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• 2022

항공기 제작 및 운송 기술 발달로 국내 항공산업은 비약적인 발전을 이루었으나, 항공안전 사고는 지속해서 발생하고 있다. 관리 감독기관에서는 위험기반 항공안전데이터를 기반으로 위해 요인과 위험도를 분류하고, 운송사업자별 안전 경향성 파악과 취약분야를 도출하여 사전점검을 수행함으로써 사건·사고를 사전 예방중에 있다. 그러나 자연어 형식으로 기술된 항공안전데이터의 휴먼 분류는 지식과 경험, 성향에 따라 서로 다른 분류 결과를 초래하고, 이벤트 내용의 의미 파악 및 분류를 위한 작업에 상당한 시간을 소요케 한다. 이에, 본 논문에서는 KoBERT 모델을 fine-tunning하고 5천 건 이상의 항공안전데이터를 기계학습 시켜 신규 데이터의 분류 값을 예측한 결과 79.2%의 정확성을 보였다. 그리고 유사 이벤트에 대해 동일한 결과 예측과 fail 된 데이터 중 일부는 휴먼 에러에 의한 오류임을 확인할 수 있었다.

• 한국정보시스템학회지:정보시스템연구
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• 제27권2호
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• pp.175-196
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• 2018

Purpose The purpose of this study is to identify problems of current educational facility data management and recommend a standardized terminology classification system as a solution. In addition, the research aims to present a preemptive and integrated disaster and safety management framework for educational facilities by seeking efficient business processes through secured data quality, systematic data management, and external data linkage and analysis. Design/methodology/approach A terminology classification system has been established through various processes including filtering and analysis of related data including laws, manuals, educational facilities accidents, and historical records. Furthermore, the terminology classification system has been further reviewed through several consultations with experts and practitioners. In addition, the accumulated data was refined according to the established standard terminology and an Excel database was developed. Based on the data, accident patterns occurred in educational facilities over the past 10 years were analyzed. Findings In the study, a template was developed to collect consistent data for the standardized disaster and safety management terminology classification system in educational facilities. In addition, the standardized data utilization methods are presented from the viewpoint of 'education facility disaster safety data management', 'data analysis and insight', 'business management through data', and 'leaping into big data management'.

• 센서학회지
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• 제18권5호
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• pp.385-392
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• 2009

This paper describes the algorithm development of a new body pressure detection sensor for occupant classification system. U.S. Government has required that advanced airbag system should be installed to every automobiles after 2006 according to FMVSS 208 regulation. Therefore, Occupant Classification System should be provided the passenger with safety in order to protect the infants or children that sit in the front passenger seat. When an occupant sits on the chair of the vehicle, deployment of the airbag depends on passenger's weigh distribution and postures. Authors have been developed a new pattern recognition of passenger and weight distribution at the same time by Force Sensing Resistor for the safety.

• 대한안전경영과학회지
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• 제12권3호
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• pp.107-119
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• 2010

The aim of this study was to compare the carcinogen classification systems of developed countries or global organizations with domestic system under Industrial Safety and Health Act (ISHA). We selected the representative institutions which had carcinogen classification system such as International Agency for Research on Cancer (IARC), National Toxicological Program (NTP), Environmental Protection Agency (US-EPA), American Conference of Governmental Industrial Hygienists (ACGIH), and European Union (EU). We collected the carcinogen lists issued by 5 institutions, and merged by CAS number of each chemical with Microsoft Access 7.0. We found that confirmed human carcinogens, probable human carcinogens and possible human carcinogens were 34, 179, and 252, respectively. All of the institutions classified chemicals as 2 (NTP), 3 (EU) or 5 (IARC, ACGIH, US-EPA) categories based on the weight of scientific evidences for carcinogenicity and periodically updated the carcinogen list by regular procedure. However, a total of 90 chemicals could be classified as carcinogen under ISHA in Korea. There was no procedure or system which periodically update the carcinogen lists. In addition, the status of carcinogen classification according to regulation was confused. In conclusion, these findings suggest that the carcinogen classification and management system should be amended by consideration of systems of advanced institutions and the domestic regulation system.

• 한국BIM학회 논문집
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• 제6권2호
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• pp.29-38
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• 2016

Road bridges are deteriorating gradually, and it is forecasted that the number of road bridges aging over 30 years will increase by more than 3 times of the current number. To maintain road bridges in a safe condition, current safety conditions of the bridges must be estimated for repair or reinforcement. However, budget and professional manpower required to perform in-depth inspections of road bridges are limited. This study proposes an estimation model for safety rating of road bridges by analyzing the data from Facility Management System (FMS) and Yearbook of Road Bridges and Tunnel. These data include basic specifications, year of completion, traffic, safety rating, and others. The distribution of safety rating was imbalanced, indicating 91% of road bridges have safety ratings of A or B. To improve classification performance, five safety ratings were integrated into two classes of G (good, A and B) and P (poor ratings under C). This rearrangement was set because facilities with ratings under C are required to be repaired or reinforced to recover their original functionality. 70% of the original data were used as training data, while the other 30% were used for validation. Data of class P in the training data were oversampled by 3 times, and Repeated Incremental Pruning to Produce Error Reduction (RIPPER) algorithm was used to develop the estimation model. The results of estimation model showed overall accuracy of 84.8%, true positive rate of 67.3%, and 29 classification rule. Year of completion was identified as the most critical factor on affecting lower safety ratings of bridges.

• 한국건설관리학회논문집
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• 제22권6호
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• pp.120-130
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• 2021

최근 정부는 건설재해 예방을 위하여 건설공사 안전관리를 강화하고 있으며, 예방적 차원의 작업자 안전관리 방안이 중요한 실정이다. 한편 모듈러 건축은 중고층 건축물 등으로 점차 확대 적용될 예정이나, 작업환경이 열악하고 안전관리가 미흡한 중소규모 건설현장이 많아 재해예방을 위한 안전관리가 미흡한 실정이다. 또한 국내 모듈러 건축의 안전관리 방안은 작업자의 안전사고에 영향을 미치나 시공오차, 하자 등 구조안전과 관련한 요소를 관리하는 품질관리에 집중되어 있어, 작업자의 안전보건을 관리하여 재해를 예방하는 작업자 안전관리는 부족한 실정이다. 따라서 본 논문에서는 국내 연구 개발된 사례들을 분석하고 전문가 자문을 통하여 도출된 모듈러 건축의 작업자 안전관리를 위한 체크리스트의 분류체계를 제안하였다. 분류체계는 공장제작, 운송, 현장시공을 대분류로 구성하였으며, 하위체계는 현장시공의 6가지의 중분류 중 모듈러 골조설치 공사의 세부작업인 양중작업과 조립작업을 중심으로, 12가지의 단위작업을 구분하였다. 그리고 안전관리를 위한 관리요소에 따른 단위작업별 작업내용을 정의하고 분류체계에 최종적으로 반영하였다. 본 연구의 결과가 모듈러 건축의 건설현장에서 효율적인 안전관리를 수행하는데 기여할 수 있기를 기대한다.

• 대한안전경영과학회지
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• 제19권3호
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• pp.1-9
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• 2017

In the industrial field, various type of fuel have been used for product processing facilities. Recent for 10 years, the usage of natural gas (NG) was gradually increased. Because it has many merits; clean fuel, no transportation, storage facility and so on. There are common safety concept that strict explosion protection approaches are needed for facilities where explosive materials such as flammable liquid, vapor and gases exist. But some has an optimistic point of view that the lighter than air gases such as NG disperse rapidly, hence do not form explosion environment upon release into the atmosphere, many parts has a conventional safety point of view that those gases are also inflammable gases, hence can form explosion environment although the extent is limited and present. In this paper, the heating equipments (Hot Oil Heater) was reviewed and some risk management measures were proposed. These measures include hazardous area classification and explosion-proof provisions of electric apparatus, an early gas leak detection and isolation, ventilation system reliability, emergency response plan and training and so on. This study calculates Hazardous Area Classification using the hypothetical volume in the KS C IEC code.

• 전기학회논문지
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• 제65권10호
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• pp.1774-1779
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• 2016

This paper proposes a portable cable fault detection system with automatic fault distinction and distance measurement using time-frequency correlation and reference signal elimination method and automatic fault classification algorithm in order to have more accurate fault determination and location detection than conventional time domain refelectometry (TDR) system despite increased signal attenuation due to the long distance to cable fault location. The performance of the developed system method was validated via an experiment in the test field constructed for the standardized performance test of power cable fault location equipments. The performance evaluation showed that accuracy of the developed system is less than 1.34%. Also, an error of automatic fault type and location by detection of phase and peak value through elimination of the reference signal and normalization of correlation coefficient and automatic fault classification algorithm not occurred.

• 대한안전경영과학회지
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• 제2권3호
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• pp.171-184
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• 2000

We may be given a set of observations with the classes or clusters. The aim of this article is to provide an up-to-date review of different approaches to classification, compare their performance on a wide range of challenging data-sets. In this paper, machine learning algorithm classifiers based on CART, C4.5, CAL5, FACT, QUEST and statistical discriminant analysis are compared on various datasets in classification error rate and algorithms.