• Title/Summary/Keyword: 불확실성데이터베이스

Search Result 60, Processing Time 0.025 seconds

Exploratory Sensitivity Analysis of Environmental Equity to Spatial to Measures (공간척도 유형에 따른 환경적 형평성의 민감도 분석)

  • Jun, Byong-Woon
    • Journal of the Korean association of regional geographers
    • /
    • v.12 no.4
    • /
    • pp.508-521
    • /
    • 2006
  • The results of environmental equity analysis vary dramatically depending on different methods used. The information and data available to the researcher are also often uncertain and imprecise in empirical studies. A sensitivity analysis approach was used too handle uncertainties and methodological inconsistencies in environmental equity analysis. This paper explores the sensitivity of environmental equity analysis to two spatial measures such as proximity and scale. Two experiments were implemented to evaluate the effects of two spatial measures on the environmental equity analysis using a combination of control and experimental factors. Fulton County, Georgia was selected as a case study area for these experiments. Two major data sets including demographic characteristics and toxic release inventory (TRI) database for the study area in 1990 were integrated into a GIS environment. Two statistical analyses such as independent samples t-test and coefficient of variation were performed to determine the environmental equity in the study area and to compare the relative variability in the socioeconomic characteristics of populations over different spatial measures. The findings from two experiments indicate that the outcomes of environmental equity analysis are slightly sensitive to the buffer distance used to determine the impact zones of TRI facilities, but not to the geographic scale used in the analysis. The findings also suggest that the consequences of these choices can alter spatially and statistically the results in environmental equity analysis.

  • PDF

SCM 환경에서 XML을 이용한 수주정보 시스템

  • Park Hyeon-Cheol;Lee Sang-Yong
    • Korea Multimedia Society
    • /
    • v.10 no.1
    • /
    • pp.139-148
    • /
    • 2006
  • 현재 기업은 다양한 고객 요구사항을 충족시켜가면서 급속하게 발전하는 기술을 습득하고 발전과 경쟁력 확보를 위해, 협력 업체들과 연계관계를 유지하는 네트워크 형태의 공급사슬을 형성하고 있다. 공급사슬이 성공적으로 유지되기 위해서는 효율적인 정보교환이 필요한데, 기존의 EDI 시스템으로는 구축의 비용과 복잡성, 향후 발전방향에 불확실성 등의 문제점이 있기 때문에 SCM의 통합솔루션을 구축하기 위해서는 새로운 데이터 포맷이 필요하게 되었다. 본 논문에서는 이러한 문제점을 해결하기 위해 XML로 새로운 데이터 교환의 포맷을 정의하고, SCM 환경의 데이터 인터페이스 부분을 XML의 데이터베이스 스키마 정보를 이용하는 방법을 제시한다. 본 논문에서는 수주를 받고 다른 협력업체로 발주하는 시나리오는 다음과 같이 구성한다. 먼저 Web환경의 클라이언트에서 XML DOM객체를 이용하여 ADODB 서버로부터 XML 수주정보 파일을 생성하고, ERP 서버에서는 수주정보의 XML 파일을 ERP 서버에 저장한다. 저장된 수주정보를 이용하여 납기확약을 위한 생산계획과 구매계획을 세우고, 구매계획이 세워지면 다른 협력업체의 Web 서버로 발주정보를 보낸다.

  • PDF

A Basic Study on the Tunnel Collapse Analysis and the Reasonable Inforence of Tunnel Collapse Considering a Characteristic of Engineering Geology (지질공학적 특성을 고려한 터널 붕락 분석과 합리적인 터널 붕락 추론에 관한 기본 연구)

  • 마상준;서경원;배규진;이석원
    • Journal of the Korean Geotechnical Society
    • /
    • v.16 no.5
    • /
    • pp.117-127
    • /
    • 2000
  • 터널 시공과 굴착과정에서 파쇄대, 절리, 연약대, 균열 등 암반에서의 불연속면은 중요한 역할을 한다. 본 연구에서는 지반 고유의 특징인 불확실성에 의한 터널 설계와 시공 과정에서 겪는 많은 시행오차를 최소화하기 위해서 국내의 터널 붕락 현장의 지반조사 자료를 분석하여 터널 붕락 유형 및 규모를 제시할수 있는 Geo-predict 시스템을 개발하였다. Geo-predict 시스템은 총 104개 터널 붕괴/붕락자료(국외84개, 국내20개)를 분석한 자료를 테이터베이스로 인공신경망 학습을 토해서 터널 붕괴 형태와 규모를 추론하는 시스템이다. 본 논문에서는 Geo-predict의 개발과정 및 구성.기능을 소개하였으며 104개 터널 현장 자료를 지반조건별로 분석하고 이를 데이터베이스화하여 인공신경함을 이용한 추론 시스탬을 구축하고, 2개 고속전철 터널현장과 1개 지하철 시공현장에 적용성 평가를 실시하여, 터널의 붕락 가능 및 붕락 규모를 추론하였다.

  • PDF

Rapid Seismic Vulnerability Assessment Method for Generic Structures (일반 구조물에 대한 신속한 지진 취약성 분석 방법)

  • Jeong, Seong-Hoon;Choi, Sung-Mo;Kim, Kang-Su
    • Journal of the Korea Concrete Institute
    • /
    • v.20 no.1
    • /
    • pp.51-58
    • /
    • 2008
  • Analytical probabilistic vulnerability analysis requires extensive computing effort as a result of the randomness in both input motion and response characteristics. In this study, a new methodology whereby a set of vulnerability curves are derived based on the fundamental response quantities of stiffness, strength and ductility is presented. A response database of coefficients describing lognormal vulnerability relationships is constructed by employing aclosed-form solution for a generalized single-degree-of-freedom system. Once the three fundamental quantities of a wide range of structural systems are defined, the vulnerability curves for various limit states can be derived without recourse to further simulation. Examples of application are given and demonstrate the extreme efficiency of the proposed approach in deriving vulnerability relationships.

Unique Feature Identifier for Utilizing Digital Map (수치지도의 활용을 위한 단일식별자)

  • Cho, Woo-Sug
    • Journal of Korean Society for Geospatial Information Science
    • /
    • v.6 no.1 s.11
    • /
    • pp.27-34
    • /
    • 1998
  • A Unique Feature Identifier(UFID) is a way of referring to a feature, generally representing a tangible feature in the real world. In other words, a UFID uniquely identifies the related feature in the database and is normally used to link two or more databases together. This paper presents a UFID system aiming at the internal uses for National Geography Institute(NGI) as well as external uses for National Geographic Information System(NGIS) generally to link datasets together. The advantage of the proposed type of UFID lies in the meaningful nature of the identifier in providing a direct spatial index - administrative area and feature code. The checksum character proposed in this research is designed to remove any uncertainty about the number being corrupt. It will account lot digit transposition during manual input as well as corruption in transfer or processing.

  • PDF

lustering of Categorical Data using Rough Entropy (러프 엔트로피를 이용한 범주형 데이터의 클러스터링)

  • Park, Inkyoo
    • The Journal of the Institute of Internet, Broadcasting and Communication
    • /
    • v.13 no.5
    • /
    • pp.183-188
    • /
    • 2013
  • A variety of cluster analysis techniques prerequisite to cluster objects having similar characteristics in data mining. But the clustering of those algorithms have lots of difficulties in dealing with categorical data within the databases. The imprecise handling of uncertainty within categorical data in the clustering process stems from the only algebraic logic of rough set, resulting in the degradation of stability and effectiveness. This paper proposes a information-theoretic rough entropy(RE) by taking into account the dependency of attributes and proposes a technique called min-mean-mean roughness(MMMR) for selecting clustering attribute. We analyze and compare the performance of the proposed technique with K-means, fuzzy techniques and other standard deviation roughness methods based on ZOO dataset. The results verify the better performance of the proposed approach.

Name Disambiguation using Cycle Detection Algorithm Based on Social Networks (사회망 기반 순환 탐지 기법을 이용한 저자명 명확화 기법)

  • Shin, Dong-Wook;Kim, Tae-Hwan;Jeong, Ha-Na;Choi, Joong-Min
    • Journal of KIISE:Software and Applications
    • /
    • v.36 no.4
    • /
    • pp.306-319
    • /
    • 2009
  • A name is a key feature for distinguishing people, but we often fail to discriminate people because an author may have multiple names or multiple authors may share the same name. Such name ambiguity problems affect the performance of document retrieval, web search and database integration. Especially, in bibliography information, a number of errors may be included since there are different authors with the same name or an author name may be misspelled or represented with an abbreviation. For solving these problems, it is necessary to disambiguate the names inputted into the database. In this paper, we propose a method to solve the name ambiguity by using social networks constructed based on the relations between authors. We evaluated the effectiveness of the proposed system based on DBLP data that offer computer science bibliographic information.

Methodology of quantitative evaluation of effect analysis through resource linkage (자원연계를 통한 효과분석의 정량적 평가 방법론 도출)

  • Lee, Eul Rae;An, Dae Han
    • Proceedings of the Korea Water Resources Association Conference
    • /
    • 2019.05a
    • /
    • pp.409-409
    • /
    • 2019
  • 개발도상국 중심의 전 세계인구 증가추세와 도시화 현상, 경제발전 등의 요인으로 자원 수요량이 꾸준히 증가하고 있으며 글로벌 자원전쟁 및 기후변화는 자원 확보 및 활용에 대한 불확실성을 가중시키고 있다. 특히 필수자원인 물, 에너지 그리고 식량은 서로 밀접한 연관성 (Interconnection)으로 인해 각 자원 간의 상호의존성(Interdependence), 상충관계(Trade-off), 시너지(Synergy)가 존재한다. 이를 인식하고 관련 데이터베이스를 구축하여 통합적인 관점에서 분석하는 것이 물-에너지-식량 넥서스(Water-Energy-Food Nexus, WEF Nexus)이다. 현재 해외에서는 WEF Nexus에 대한 정의를 정립하고 적용방안에 대한 연구가 활발히 진행 중이다. 하지만 국내 연구는 대부분 개념과 필요성 제시에 불과하며, 정량적인 방법들에 대한 분석은 부족한 실정이고, 다양한 적용방안에 대한 연구는 초기 단계에 불과하다. 이에 본 연구는 국내외 WEF Nexus에 대한 정량적 가치평가 연구들을 조사 분석하여, 국내 적용 시의 문제점 및 시사점을 제시하고자 한다. 국외에서도 전력, 양수발전, 소규모 수력발전, 원예, 도시농업 등 다양한 분야에서 WEF Nexus 접근방식을 통한 연구들이 진행되고 있으나 실제 구체적이고 명확한 방식에 의해 정량적 가치를 도출한 사례는 많지 않은 실정이다. 그러나 넥서스 접근방법의 긍정적 효과를 제시하기 위해서는 이와 같은 정량적 분석이 시급이 필요한 시점이다. WEF Nexus 접근법을 국내에 성공적으로 적용시키기 위해서는 (1) 자원별 데이터베이스 구축 (2) 다양한 다양한 평가 툴 개발 및 적용 (3) 자원간 통합적 접근 방안이 필요하다. 이러한 과정들 하나하나가 현실적이고 구체화하기 위해서는 아직까지 많은 시행착오가 필요할 것으로 보인다. 본 연구에서는 국제사회에서 제한적으로 적용된 다양한 정량화 방안들을 검토하고 국내 적용을 위해서 어떠한 사항들이 필요하고 구축되어야 하는지 제시하고자 한다.

  • PDF

Estimating Maintenance Cost by Actual Database Based on Operation in Sewage Treatment Plant (하수처리장 실적데이터베이스를 활용한 유지관리비용 예측)

  • Lee, Tai-Sik;Kwak, Dong-Koo
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.10 no.10
    • /
    • pp.2803-2809
    • /
    • 2009
  • For a successful construction project not only construction engineering and project management technology but also economic evaluation technique is required. Design and construction technologies are necessary to receive a project order. However, construction management technology which can be apply from the project initial phase to the project operation and management phase is required to create a benefit from the project. Construction management technology is one of the effective factors for project success. Economical and efficient cost management from the planning phase influences the project success. This study investigated cost flow and cost factors of domestic Sewage Treatment Plant project for systematic analysis of cost items following the entire project phase. Particularly, data modeling based on domestic Sewage Treatment Equipment maintenance cost DB was performed, and maintenance cost estimation trend line is suggested using Monte carlo Simulation Method to decrease uncertainty of actual results DB and for feasibility study. Korea Academia-Industrial cooperation Society. The Korea Academia-Industrial cooperation Society. The Korea Academia-Industrial cooperation Society. The Korea Academia-Industrial cooperation Society.

The Effects of Nursing Educations on Anxiety, Uncertainty, Pain for Patients with Benign Tumor of Uterine: A Systematic Review and Meta-Analysis (자궁양성종양 환자의 수술 사전 교육이 불안, 불확실성, 통증에 미치는 효과: 체계적 문헌고찰 및 메타분석)

  • Park, Seo-A;Kim, Gaeun;Kim, Hye-Young
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.22 no.5
    • /
    • pp.207-220
    • /
    • 2021
  • This study aimed to evaluate the impact of education and counselling by nurses on anxiety, uncertainty, and pain in patients with benign uterine tumors. Electronic databases, including PubMed, OVID, CINAHL, Google Scholar, and Korean databases and were searched during January 2020. A total of 401 studies were identified of which 13 were suitable for meta-analysis. Cochrane's risk of bias tool and the R version 3.5.2 (Meta-analysis with R) program were used for analysis. The authors performed a meta-analysis of the 13 trials that met eligibility criteria. The findings in this study indicate that the effect size of nursing education for anxiety was Hedges' g=-0.89 (95% CI:-1.39 to -0.47), as indicated by a "large effect size" and the effect size of pain was Hedges' g=-0.49 (95% CI:-0.95 to -0.02) as indicated by a "moderate effect size". The effect size of uncertainty was Hedges' g=-1.38 (95% CI:-3.98 to 1.23), and it was not statistically significant. In the meta-subgroup analyses by approach intervention type, cognitive-behavioral programs, demonstration intervention, and relaxation therapy had a significant effect. The risk of publication bias was low. It may therefore be concluded that pre-operative education by nurses for patients with benign uterine tumors would affect their levels of anxiety, uncertainty, and pain.