• Journal of the Korean association of regional geographers
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• v.21 no.2
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• pp.364-378
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• 2015

As safety Issue becomes one of the hot topics, practical researches and feasible policies are in needs not only for central government but also local officers. The previous studies focused on organizational or institutional approaches and on functional efficiencies, especially how to integrate disaster data at every stage of disaster from preparedness to recovery. Physical and social environments differ from among others, top-down disaster management plan cannot work, and therefore more practical statistics and survey is required to prepare the safety management plan for local government. We aim to suggest a safety environment survey framework and to apply it to two guns (Muan and Goheung). We considered main factors of the framework based on legal requirement for safety index and four stages of disaster progress. Two guns are located in remote area and have a population who are weak to disaster. Action items were drawn from the survey and analysis from the framework respectively. We expect this framework to be expanded to include more urbanized and complex areas.

• Review of KIISC
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• v.33 no.4
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• pp.31-40
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• 2023

차량 기술의 발전으로 커넥티드 및 자율주행 차량 환경과 같은 차량 기술의 발전은 운전자에게 편의와 안전을 위한 기능을 제공한다. 하지만 이러한 장점들에도 불구하고 사이버 공격의 다양한 취약점 노출되어 있다. 최근까지 자동차 내부 네트워크로써 가장 널리 사용되는 통신기술인 CAN(Controller Area Networks) 통신은 대부분 차량의 동력을 담당하는 역할을 하다보니, 보안 문제의 중심에 서게 될 수 있다. 다양한 이기종 네트워크에서 구성된 가상화 기반의 사이버 훈련 프레임워크에 대해 설명하고자 한다. 이러한 사례 연구는 차량에 대해 물리적인 실험 환경에서의 모의침투와 같은 테스트가 어렵고, 보안과 안전이 함께 고려되어야 하는 특수성을 가진 차량 내부 네트워크의 사이버 훈련 프레임워크 설계에 도움을 줄 것이다. 본 논문에서는 가상화 개발환경 구축 사례 조사, 가상화 개발환경 구현과 차량의 공격 시나리오 및 탐지 프레임워크의 동향을 설명한다.

• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.635-635
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• 2015

1960년대부터 우리나라는 증가하는 용수수요에 대한 안정적인 생 공용수 공급, 수력발전, 하천생태계 유지를 위한 하천유지용수 공급 및 하천 연안지역의 홍수피해 경감 등의 목적으로 댐 사업이 본격적으로 시작되었다. 그러나 현재 댐 건설적지의 감소, 환경보전에 대한 인식 증대 및 지역 주민의 반대 등으로 신규 댐건설에 한계가 있는 실정이다. 또한 국제적으로 댐 건설 패러다임의 변화로 지속가능한 개발을 위한 노후화된 댐의 개량이 새로운 방안으로 제시됨에 따라 국내에서도 이에 대한 대안으로 기존 댐 재개발의 필요성이 대두되고 있다. 한정된 자원과 인력을 통해 댐 재개발의 효과를 극대화하기 위해서는 댐 재개발 우선순위 결정이 필수적이다. 국내에서도 이에 대한 연구가 진행되어 수자원공사 및 농어촌공사에서 각각 댐 및 농업용 저수지의 재개발 우선순위 평가기법을 제시하였으나 최근 기후변화로 인한 영향이 고려되지 않았을 뿐만 아니라 공공서비스 향상, 고령화율과 안전, 환경 및 지역사회 등 여러 측면을 고려한 기준이 제시되어 있지 않았다. 또한 국내 댐 재개발 우선순위 평가 기술은 다른 선진 국가들에 비해 기술적으로 많이 뒤떨어진 실정이다. 본 연구에서는 국내 댐 재개발 우선순위 평가기준 개발을 위한 국내외 사례조사 및 비교분석을 통해 기존의 댐 재개발 우선순위 결정 기술에서 나아가 기후변화 및 시대적 환경적 측면을 고려한 다 기준 댐 재개발 우선순위를 개발하여 향후 기후변화 적응 댐 재개발 실행프레임워크 구축 기술에 활용하고자 한다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.12
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• pp.200-210
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• 2020

The maintenance of educational facilities was assembled in 12 project classifications of the Educational Improvement Program. The priorities were decided by the evaluation scores derived from the condition investigation, and maintenance works were budgeted in the order of priorities. These priorities were a schedule for conducting maintenance and an important criterion for obtaining a construction order. Several restrictions in the condition investigation exist, which derives budgets and conducts maintenance separately based on the priorities. An educational facility manager has a restriction in quantity take-off, which results in an incorrect budget. Discomfort would occur in an educational environment, and a period of infringing safety would increase. This study proposes applying a BIM in the condition investigation and the planning framework for work-type packaging. A BIM supports a budget calculation and derives evaluation scores by linking a repair and an inspection result. The work-type packaging algorithm divides a budget allocation range and derives the result of a grouped work-types applied in an equivalent space and element. As a result of applying cases, it could shorten the duration by approximately 37.4%. Its usability in selecting a grouped work-type was evaluated through an assessment with workers.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.7
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• pp.873-878
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• 2020

Due to the recent development of 3D printers, interest in 3D printing is growing. 3D printing should reflect individual needs and various requirements by designing products to suit the user's requirements. Research on how to use 3D printed products for the purpose of purchasing products according to user's demand characteristics is insufficient. Therefore, this study conducted a survey and statistical analysis to find out the factors influencing the intention of purchasing custom controller products in 3D printing environments. Research has confirmed that user innovation and convenience safety are important factors for the satisfaction and purchase intent of personal-tailored controller products. Considering user innovation, convenience, and safety when producing controller products using 3D printing, it is expected that value of custom controller manufacturing can be increased. Research is needed on the personalized product development framework that successfully introduces and systematically supports the production methods of personalized products in the early stages.

• Convergence Security Journal
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• v.24 no.1
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• pp.35-42
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• 2024

Multi-tenancy architecture plays a crucial role in cloud-based services and applications, and data isolation within such environments has emerged as a significant security challenge. This paper investigates various data isolation methods including schema-based isolation, logical isolation, and physical isolation, and compares their respective advantages and disadvantages. It evaluates the practical application and effectiveness of these data isolation methods, proposing security considerations and selection criteria for data isolation in the development of multi-tenant websites. This paper offers important guidance for developers, architects, and system administrators aiming to enhance data security in multi-tenancy environments. It suggests a foundational framework for the design and implementation of efficient and secure multi-tenant websites. Additionally, it provides insights into how the choice of data isolation methods impacts system performance, scalability, maintenance ease, and overall security, exploring ways to improve the security and stability of multi-tenant systems.

• Journal of The Korean Association of Information Education
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• v.26 no.5
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• pp.449-455
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• 2022

The digital culture area is a field of artificial intelligence education and partially overlaps with information ethics, and this study proposed an elementary school-centered digital culture curriculum, a detailed area of artificial intelligence education. First, as a leading overseas case in the field of digital culture, we analyzed the secure online interaction, which is the core content of the K12CS framework in the United States and the UK's computing curriculum. We presented by categorizing it into four digital areas: content, communication method, copyright, and job exploration in accordance with the domestic educational environment and field conditions. In addition, educational goals were stated according to the level of kindergarten and elementary school, and the validity of a group of field teachers majoring in in information and artificial intelligence was investigated to confirm the validity. As a result of the analysis, it was found that all the contents set were suitable except for some of the detailed goals of the first grade elementary school stages. Accordingly, a digital culture curriculum for artificial intelligence education was presented by revising and supplementing the detailed goals of the first graders.

• The Journal of Bigdata
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• v.8 no.1
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• pp.111-129
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• 2023

With the diffusion of digital innovation, the adoption of innovative medical technologies based on artificial intelligence is increasing in the medical field. This is driving the launch and adoption of AI-based SaMD(Software as a Medical Device), but there is a lack of research on the factors that influence the adoption of SaMD by medical institutions. The purpose of this study is to identify key factors that influence medical institutions' decisions to adopt AI-based SaMDs, and to analyze the weights and priorities of these factors. For this purpose, we conducted Delphi surveys based on the results of literature studies on technology acceptance models in healthcare industry, medical AI and SaMD, and developed a research model by combining HOTE(Human, Organization, Technology and Environment) framework and HABIO(Holistic Approach {Business, Information, Organizational}) framework. Based on the research model with 5 main criteria and 22 sub-criteria, we conducted an AHP(Analytical Hierarchy Process) analysis among the experts from domestic medical institutions and SaMD providers to empirically analyze SaMD adoption factors. The results of this study showed that the priority of the main criteria for determining the adoption of AI-based SaMD was in the order of technical factors, economic factors, human factors, organizational factors, and environmental factors. The priority of sub-criteria was in the order of reliability, cost reduction, medical staff's acceptance, safety, top management's support, security, and licensing & regulatory levels. Specifically, technical factors such as reliability, safety, and security were found to be the most important factors for SaMD adoption. In addition, the comparisons and analyses of the weights and priorities of each group showed that the weights and priorities of SaMD adoption factors varied by type of institution, type of medical institution, and type of job in the medical institution.