• 자동차안전학회지
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• 제8권2호
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• pp.17-23
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• 2016

Construction of our machine "Digital Tacho Graph" toghether with development and intergrated management system information is attached under Traffic Safety Law in article submission. This machine "Digital Tach Graph" has been mandated on a priority basis. The entire machine is constructed with specialised components to collect data that can retrive basic information. To obtain the components to perfect the information to optimize the device and system.

• 한국안전학회지
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• 제23권6호
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• pp.51-56
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• 2008

As RFID/USN technology is used in the latest industry trend, the information analysis paradigm shifts to intelligence service environment. The intelligent service includes autonomic operation, which select activity by defining itself to the status of industry facilities. Furthermore, information analysis based on IT used to frequently data mining for detecting the meaning information and deriving new pattern. This paper suggest self-classifying of context-aware by applying data mining in gas facilities for serving the intelligent gas safety management. We modify data algorithm for fitting the domain of gas safety, construct context-aware model by using the proposed algorithm, and demonstrate our method. As the accuracy of our model is improved over 90%, the our approach can apply to intelligent gas safety management based on RFID/USN environments.

• Safety and Health at Work
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• 제9권1호
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• pp.30-41
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• 2018

Background: The purpose of the work is to develop a system that allows processing of information for analysis and industrial risk management, to monitor the level of industrial safety and to perform necessary measures aimed at the prevention of accidents, casualties, and development of professional diseases for effective management of industrial safety at hazardous industrial sites. Methods: Risk assessment of accidents and incidents is based on expert evaluations. Based on the lists of criteria parameters and their possible values, provided by the experts, a unified information and analytical database is compiled, which is included in the final interrogation questionnaires. Risk assessment of industrial injuries and occupational diseases is based on statistical methods. Results: The result of the research is the creation of Guidelines for risk management on hazardous industrial sites of the Republic of Kazakhstan. The Guidelines determine the directions and methods of complex assessment of the state of industrial safety and labor protection and they could be applied as methodological basis at the development of preventive measures for emergencies, casualties, and incidents at hazardous industrial sites. Conclusion: Implementation of the information-analytical system of risk level assessment allows to analyze the state of risk of a possible accident at industrial sites, make valid management decisions aimed at the prevention of emergencies, and monitor the effectiveness of accident prevention measures.

• 수산경영론집
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• 제46권1호
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• pp.145-155
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• 2015

This study aims to look at the change in consumer awareness and behavior after Japan's 2013 nuclear power plant's radioactive water leakage and draw implications about them. Findings show that 81% of respondents decreased their consumption of fishery products after the nuclear incident, and kept on showing avoidance of imported fishery products including those from Japan. Also it showed that consumers more importantly considered safety when buying imported fishery products after the nuclear incident. The most common channel of receiving radioactivity safety information on fishery products were TV and online. However, the main reason for decreasing the consumption of fishery products was founded to be based on the inaccuracy of the information provided. However, many people said that they will increase their consumption of all fishery products if provided with accurate radioactivity information. Therefore, if accurate radioactivity information were to be spread effectively to the public, positive consumption rates of fishery products can be shown in the future. The inaccuracy of radioactivity safety information caused the rapid decrease of fishery products consumption in 2013 to be amplified. Therefore, this study showed the importance of the delivery of rapid, accurate and consistent information to consumers.

• 한국비블리아학회지
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• 제28권3호
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• pp.67-93
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• 2017

본 연구는 언어 네트워크 분석을 통해 재난정보와 관련한 국내 연구동향 분석을 목적으로 한다. 이를 위하여 학술연구정보서비스(RISS)를 검색하여 2008년부터 2017년 사이에 발간된 재난정보와 관련한 국내 학위논문 및 학술지논문 312건을 수집하였다. 그리고 논문들의 서지사항을 토대로 통계분석을 실시하였다. 뿐만 아니라 연구논문들의 논문명을 대상으로 키워드를 추출하여 빈도분석 및 언어 네트워크 분석을 실시하였다. 분석 결과, 최근 재난분야에서 빅데이터와 관련한 연구가 급증하였으며, 재난정보 공유 및 활용의 중요성이 증대되고 있다. 또한 재난대응을 위하여 공간정보, 실시간정보, 지리정보 등 다양한 유형의 재난정보가 활용되고 있었다.

• 한국식품위생안전성학회지
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• 제34권5호
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• pp.489-494
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• 2019

수출입 증명, 위생등급제, 식품 민원처리, 식품 관련 인증, 식품 위해정보 관리 및 식품이력추적 관리제도 등 식품안전관리 시스템에 블록체인 기술도입의 적절성을 효과성과 제약성 평가지표에 따라 전문가 대상 설문조사를 실시하여 평가하였다. 식품안전 업무영역별 블록체인 도입 적절성에 대한 포트폴리오 분석을 진행하여 블록체인 도입 우선순위를 설정하였다. 블록체인 도입 시 효과를 기대할 수 있는 영역은 식품인증, 위생등급제, 위해정보 및 수출입 증명 업무였다. 반면, 이력추적 및 민원처리업무의 경우 블록체인 도입의 효과성이 낮아 도입대상에서 제외할 것으로 평가되었다. 한편 조사된 6가지의 식품안전관리 업무영역 모두에서 블록체인 도입 시 비용, 법 제도 개정 등 보통 이상의 제약성이 존재하였다. 특히, 식품이력추적관리 분야는 도입 추진 시 가장 제약사항이 많을 것으로 평가되었다. 블록체인 도입 시 수출입 증명업무의 효과는 높으나 비용과 법 개정 등 제약성이 높아 블록체인 도입을 위해서는 제도개선 등이 필요할 것으로 판단되었다. 평가대상 업무분야들 중 식품인증, 위생등급제 및 위해정보 관련 업무는 블록체인 도입 시 신뢰성과 투명성을 크게 향상시키면서 제약성이 상대적으로 낮아 블록체인을 우선적으로 도입하는데 적합할 것으로 평가되었다.

• 한국산업보건학회지
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• 제19권4호
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• pp.370-380
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• 2009

Reliable hazard and risk communication is needed to prevent the safety accident & occupational disease through right use of chemicals and MSDS(Material Safety Data Sheet) is mainly used as such a tool of communication. MSDS policy has been put into effect in order to prevent the safety accident & occupational disease through right use of chemicals and fulfill workers' right to know. If information on MSDS lacks reliability due to its inaccuracy, prevention of the various effects related with environmental safety & health in advance is not possible to achieve. The most essential thing regarding authoring MSDS is to exactly evaluate the composition and ingredients of the chemical and include reliability-guaranteed information. Therefore, in this study reliability was evaluated on MSDSs in 15 aromatic hydrocarbons(benzene, toluene, xylene, etc.) manufacturers and ways to secure reliability of MSDS were suggested. The results showed 93.5% of composition agreement rate and 89% of reliability on each section in MSDSs. In order to curb MSDSs with low reliability, examination on CBI(confidential business information) in MSDS, certification of MSDS, collection and verification of MSDS are suggested.

• 한국기록관리학회지
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• 제17권4호
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• pp.127-154
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• 2017

최근 전 세계적으로 대형 복합 재난이 빈번하게 발생할 뿐 아니라 매해 반복되고 있다. 이에 따라 과거의 정리된 재난과 관련한 원시자료 및 가공정보에 대한 체계적인 관리와 활용에 대한 필요성이 증대되고 있다. 이에 본 연구는 범정부 차원에서 재난안전 기록정보자원을 종합적으로 제공하여 재난안전정보의 허브(Hub)로서 중추적 역할을 수행할 수 있는 자동수집 기반의 재난안전 기록정보자원 아카이브 구축 전략을 제안하고자 한다. 이를 위해 국내 외 재난아카이브 사례를 분석하여 재난안전 기록정보자원 아카이브 구축 시 고려할 사항들을 도출하였으며, 1) 재난안전 기록정보자원 전수조사, 2) 자동화 가능성 분석, 3) 아카이빙 대상 선별, 4) 메타데이터 자동수집에 이르는 4단계 구축전략을 제안하였다. 본 연구에서 제안하는 아카이브의 구축은 산발적으로 존재하는 정보의 통합관리와 정보의 공유 및 활용을 촉진하게 될 것이다.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2005년도 추계학술대회 논문집
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• pp.605-611
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• 2005

System safety management to secure complicated system safety such as railway and nuclear includes various factors. Those are prevention of accidents, faults management, human factor, men-machine relation, organization factor, safety culture, quality/quantity safety performance goal, and safety regulations. To manage them, it is required that database which is based on most analysis is established. Therefore system safety could be controlled. This research defines data required to safety management, and that is aimed at deriving plans in order to establish them as database. To accomplish that, safety information management of other systems such as aviation and marine is reviewed. Also, the present conditions of available data in the filed of domestic railway are analysed, and then it provides plans for. establishing database to build up advanced railway system safety information management systems.

• 한국안전학회지
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• 제32권5호
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• pp.88-95
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• 2017

As the safety fields are expanding to a variety of industrial fields, safety technology has been developed by convergence between industrial safety fields such as mechanics, ergonomics, electronics, chemistry, construction, and information science. As the technology convergence is facilitating recently advanced safety technology, it is important to explore the trends of safety technology for understanding which industrial technologies have been integrated thus far. For studying the trends of technology, the patent is considered one of the useful sources that has provided the ample information of new technology. The patent has been also used to identify the patterns of technology convergence through various quantitative methods. In this respect, this study aims to identify the convergence patterns and fields of safety technology using association rule mining(ARM)-based patent co-classification(co-class) analysis. The patent co-class data is especially useful for constructing convergence network between technological fields. Through linkages between technological fields, the core and hub classes of convergence network are explored to provide insight into the fields of safety technology. As the representative method for analyzing patent co-class network, the ARM is used to find the likelihood of co-occurrence of patent classes and the ARM network is presented to visualize the convergence network of safety technology. As a result, we find three major convergence fields of safety technology: working safety, medical safety, and vehicle safety.