• 한국비블리아학회지
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• 제28권3호
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• pp.125-150
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• 2017

본 연구는 국내 재난 안전 유관기관들이 사용하고 있는 재난안전정보 관련 분류체계의 현황 및 문제점을 파악하여 일원화된 재난안전정보 분류체계의 구축을 위한 기본 요구사항을 도출하는 것을 목적으로 한다. 이를 위하여 먼저 국내외 재난유형 분류체계를 살펴보았으며, 현재 국내 재난 유관기관에서 사용하고 있는 분류체계를 수집하여 분석하고, 실무자와의 면담을 진행하였다. 분석 결과, 향후 재난유형 분류체계 개발을 위하여 일관성, 망라성, 체계성, 및 한국형 재난에 대한 고려가 필요하다. 또한 재난안전정보 분류체계 개발을 위해서는 재난 및 안전관리 업무의 복잡성, 복합재난의 출현 등을 고려하여 패싯 분류체계의 적용을 제안하였다.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2009년도 춘계학술대회 논문집
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• pp.1335-1340
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• 2009

In order to establish railway long-tenn safety policy, various railway safety indexes are required. But these indexes are not use efficiently due to the limitation of safety information. Recently m any safety related information have been obtained based on Railway Safety Act 2004. In this study, various safety index, which can be applied both preventive safety activities and safety measure development, are proposed. These safety indexes are based on common safety index in European Railway Agency, but also include special index in Korea. Proposed safety index include accident results, precursors to accident, infrastructure, accident cost and safety management system. These indexes will be applied in railway industry from 2009.

• 한국재난정보학회 논문집
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• 제19권1호
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• pp.105-116
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• 2023

연구목적: 본 연구에서는 최근 항공산업현황과 항공안전관리시스템 운영체계 현황을 살펴보고 현재 운영중인 항공안전관리시스템의 미비점을 파악하여 항공안전관리의 선제적 예방 및 개선방안을 제시하는 것을 목적으로 한다. 연구방법: 최근 발생한 사건사고조사와 국내법 현황, 해외 운영기관 및 안전관리 체계 분석을 통해 항공안전관리의 개선방안을 제시하였다. 연구결과: 최근 발생한 항공기안전 관련 사건과 현재 운영하고 있는 항공안전관리점의 미비점과 국외 항공선진국의 대응 사례를 통하여 관리체계와 법제도 측면의 개선점 및 예방적 항공안전을 위한 관리방안을 도출하였다. 결론: 항공안전관리 개선방안을 데이터를 활용한 기법을 기반으로 제시하였으며, 추가 관련 연구를 통해 구체화해 나가야 할 것이다.

• 식품과학과 산업
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• 제48권4호
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• pp.16-20
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• 2015

• 한국경영정보학회:학술대회논문집
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• 한국경영정보학회 2007년도 International Conference
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• pp.184-189
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• 2007

Concerns about food safety continue to rise and under this situation, governments of some countries have reinforced their regulations more strictly for food safety. In order to prevent food safety incidents or, at least to minimize the impact, the preparedness is very important. As a consequence of this, traceability system has become an essential tool for food safety. Recently, it requires more prevention-based food safety control system. One of the most generally used systems for food safety control is Hazard Analysis and Critical Control Point (HACCP). Both traceability and HACCP systems can be integrated through Electronic Product Code (EPC) Sensor Network technologies which have four value propositions. In this paper, we will introduce the concept of product and process traceability system (P2TS) through the integration of three systems to improve food safety management. The final aim is to find out the added values of the P2TS.

• The Journal of Asian Finance, Economics and Business
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• 제8권12호
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• pp.223-231
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• 2021

The study aimed to investigate the impact of social networks safety (SNS) on the marketing information quality (MIQ) during the COVID-19 pandemic in Saudi Arabia. The study examines the statistical differences in social networks safety SNS and marketing information quality MIQ according to the demographics such as age, sex, income, and education. For this study purpose, information security and privacy are two components of social networks safety. The research materials are website resources, regular books, journals, and articles. The population includes all Saudi users of social networks. The figures show that active users of the social network reached 25 Million in 2020. The snowball method was used and sample size is 500 respondents and the questionnaire is the tool for the data collection. The Structural Equation Modelling SEM technique is used. Convergent Validity, Discriminate Validity, and Multicollinearity are the main assumptions of structural equation modeling SEM. The findings show the high positive impact of SNS networks safety on MIQ and the statistical differences in such variables refer to education. Finally, the study presents a set of future suggestions to enhance the safety of social networks in Saudi Arabia.

• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 2000년도 춘계학술대회
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• pp.27-32
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• 2000

This study presents the design of integrated safety, quality, and environmental information system based on the internet environment. Quality management system, environmental management system, and safety management system are adapted in many manufacturing and service organization respectively but those system does not work effectively. Especially safety management system and environmental management system are very similar with format and contents. Therefore, Those system must be integrated to increase effiency.

• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 1999년도 추계학술대회
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• pp.481-486
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• 1999

As the manufacturing systems adapt information technology, safety control and management systems are required to adapt information technology by changing the industrial environment. This paper is presented the methodology of designing the safety control and management system based on intranetwork environment to reduce breakdown time on facility and Increase efficience of safety training and education.

• 한국멀티미디어학회논문지
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• 제21권10호
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• pp.1203-1210
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• 2018

As the use of public transportation is increasing, a service considering the convenience of passengers is being launched utilizing the Internet (IoT) data collected through the bus information system. However, the bus information system only provides limited information such as the current location of the bus (GPS) and the expected arrival time at the stop. Additional IoT sensor information is needed to provide various services for the safety and convenience of passengers. In this paper, to improve the safety and convenience of passengers, we have added the boarding doors imaging sensor, temperature and humidity sensors, and sensor for measuring the number of passengers. The proposed IoT bus system can attach various sensors to buses to provide high-quality safety services to passengers.

• 한국안전학회지
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• 제38권1호
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• pp.1-8
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• 2023

It is extremely important to design safety-guaranteed industrial processes because such process determine the ultimate outcomes of industrial activities, including worker safety. Application of artificial intelligence (AI) in industrial safety involves modeling industrial safety systems by using vast amounts of safety-related data, accident prediction, and accident prevention based on predictions. As a preliminary step toward realizing AI-based industrial safety in Korea, this study discusses neural network-based modeling of industrial safety systems. The input variables that are the most discriminatory relative to the output variables of industrial safety processes are selected using two information-theoretic measures, namely entropy and cross entropy. Normalized frequency and severity of industrial accidents are selected as the output variables. Our simulation results confirm the effectiveness of the proposed neural network model and, therefore, the feasibility of extending the model to include more input and output variables.