• 제목/요약/키워드: BDMS

검색결과 5건 처리시간 0.022초

백두대간보호지역은 세계유산 등재를 위한 충분한 가치를 갖고 있는가? (Does Baekdu-daegan Mountain System Has Enough Values for World Heritage Inscription?)

  • 김성일;장진성;;박선주;이동호
    • 한국산림과학회지
    • /
    • 제104권3호
    • /
    • pp.476-487
    • /
    • 2015
  • 이 연구는 세계자연유산으로서 백두대간보호지역의 가치와 경쟁력을 분석하기 위해 예비 타당성 검토를 실행하고, 향후 세계유산 등재를 위해 고려해야 할 사항을 제안하였다. UNEP WCMC, IUCN 자료를 바탕으로 백두대간보호지역의 국제적 인지도, 기존 세계유산들과의 차이 분석, 유네스코 세계자연유산 등재기준을 바탕으로 한 탁월한 보편적 가치를 분석하였다. 연구결과 백두대간보호지역의 가치에 대한 국제적 인지도 및 세계자연유산으로서의 탁월한 보편적 가치는 낮은 것으로 나타났다. 연구결과 및 최근 세계유산 동향을 고려하였을 때, 백두대간은 생태적 연결성, 생태 경관과 문화 사이의 상호작용, 국가적인 관리체계의 구축 측면에서 경쟁력이 있으며, 이에 따라 연속성 세계유산, 복합유산, 초국경유산으로의 잠재력이 큰 것으로 보인다. 추가적인 연구와 데이터베이스 구축, 그리고 인식 제고 노력을 통해 백두대간의 가치 증진이 이뤄지고, 궁극적으로 남북이 연계된다면 세계유산 공동등재가 가능할 것으로 판단된다.

백두대간 자연 환경 조사 비교 및 개선 방안 고찰 (Comparison of Survey Methods and Results for Natural Environment in Baekdudaegan Mountain System)

  • 신문현;김정환;권진오;임주훈;최형태;박찬우
    • 한국환경복원기술학회지
    • /
    • 제19권2호
    • /
    • pp.1-18
    • /
    • 2016
  • Baekdudaegan Mountain System (BDMS) is a unique and traditional concept in Korea that puts importance on the connectivity of energy when Korean people recognize their mountain system. Two main national organizations that are in charge of managing natural environment in Korea, Korea Forest Service (KFS) and Ministry of Environment (MoE), have been independently investigating the natural resources in protected areas of BDMS. Each organization released its first survey report for the whole protected areas in 2011. In order to provide better understanding of BDMS's natural environment, the results contained in the first reports of KFS and MoE were compared. It was found that KFS contains a wider variety of survey items, though many of the items are overlapped between the reports of KFS and MoE. It was noticeable that the survey results of KFS and MoE were not always matched even for the same or similar items in the identical target areas. The main causes of the different survey results are suggested to be the differences of the details of the survey conditions between KFS and MoE, such as the season of the surveys and the subjectivity of surveyors, and the type of literatures included in the indoor survey. As a result, it is difficult to directly compare the survey results of KFS and MoE, which leads to low usability of the data and low efficiency of the survey processes. Therefore, it is strongly recommended that the sections and methodologies of survey should be clearly set with consideration for the research purposes. The survey data and geographical information should be digitalized and opened to the public for better accessibility to BDMS information. Also, the survey reports should include English summary, thereby the results can be utilized globally for scientific, cultural and political purposes, such as designation of a heritage site.

IMPROVING SOCIAL MEDIA DATA QUALITY FOR EFFECTIVE ANALYTICS: AN EMPIRICAL INVESTIGATION BASED ON E-BDMS

  • B. KARTHICK;T. MEYYAPPAN
    • Journal of applied mathematics & informatics
    • /
    • 제41권5호
    • /
    • pp.1129-1143
    • /
    • 2023
  • Social media platforms have become an integral part of our daily lives, and they generate vast amounts of data that can be analyzed for various purposes. However, the quality of the data obtained from social media is often questionable due to factors such as noise, bias, and incompleteness. Enhancing data quality is crucial to ensure the reliability and validity of the results obtained from such data. This paper proposes an enhanced decision-making framework based on Business Decision Management Systems (BDMS) that addresses these challenges by incorporating a data quality enhancement component. The framework includes a backtracking method to improve plan failures and risk-taking abilities and a steep optimized strategy to enhance training plan and resource management, all of which contribute to improving the quality of the data. We examine the efficacy of the proposed framework through research data, which provides evidence of its ability to increase the level of effectiveness and performance by enhancing data quality. Additionally, we demonstrate the reliability of the proposed framework through simulation analysis, which includes true positive analysis, performance analysis, error analysis, and accuracy analysis. This research contributes to the field of business intelligence by providing a framework that addresses critical data quality challenges faced by organizations in decision-making environments.

해상초장대교량의 지진재난 방재시스템개발 (The Development of Earthquake Disaster Prevention System in Long Span Bridge)

  • 장준호;윤정현;이윤미
    • 해양환경안전학회지
    • /
    • 제18권1호
    • /
    • pp.49-54
    • /
    • 2012
  • 본 연구의 목적은 지진발생 시 발생할 수 있는 초장대교량의 관리기준을 기반으로 하여 비상대응절차를 정의하고, 지진의 레벨(Level)별 비상대응 알고리즘을 개발하여 구조물의 센서와 연동하는 교량재난관리시스템인 BDMS(Bridge Disaster Management System) 개발이다. 지금까지의 초장대교량의 지진에 대한 방재시스템은 메뉴얼(Manual) 중심의 방식이며 패쇄적인 시스템을 활용하였으나 본 연구에서는 IT 기술을 접목하고 인터넷 기반의 개방적 시스템을 활용하여 보다 실용적인 시스템으로 개발하였다. 또한 교량관리자별로 업무를 할당하고 그 절차마다 수행해야할 임무를 AAD(Activity Action Diagram)을 통하여 명확하게 규정하였다. 3D 상황판 기능을 제공하여 지진재난 뿐 아니라 다른 자연재난의 중복 발생 시에도 적절한 초기 대응이 가능하도록 설계하였다. 시나리오를 기반으로 비상대응 주체별로 행동요령을 정의 하고 비상대응절차를 구축하여 이를 시스템화한 BDMS을 개발 활용한다면 기존의 경험적, 매뉴얼 중심의 대처방식에서 신속성, 효율성을 가진 지진 재난 방제시스템을 갖게 될 것이다.

터널 정보관리 시스템과 터널 붕락 예측 시스템 적용성 연구 (Application of Tunnel Information Management System and Tunnel Collapse Inference System in Tunnel)

  • 마상준;서경원
    • 한국철도학회논문집
    • /
    • 제5권2호
    • /
    • pp.84-92
    • /
    • 2002
  • For an efficient management and analysis of geological/geotechnical data obtained during site investigations or tunnel construction, Tunnel Information System(TIS) was developed in this study. TIS is running in CIS(Geographical Information System) which has a spatial data. TIS consists of two parts, the Tunnel Face Mapping System(FaceMap), to record a geological features by observations and measurements at the surface of the excavation, the Borehole Data Management System(BDMS), to store the different types of rock data related to boreholes. Using the database of collapsed tunnels, 20 in Korea and 84 in Europe and with an artificial neural network, an expert system was developed for inferring the tunnel collapse pattern and its volume. And by applying Geo-predict, the system developed, in tunnels under construction, observed data from the $\bigcirc$$\bigcirc$tunnl site was compared and analyzed.