• 제목/요약/키워드: conceptual data model

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유류오염부지 정밀조사에 기반한 부지개념모델 구축 및 개선 (Construction and Refinement of Conceptual Site Model Based on Scrutiny of Oil Contaminated Site)

  • 배민서;김민경;김주희;이순재;권만재;조호영
    • 한국지하수토양환경학회지:지하수토양환경
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    • 제28권2호
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    • pp.12-29
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    • 2023
  • Conceptual site model (CSM) development and enhancement for contaminated sites assists in identifying data gaps during the site investigation process. In this study, CSM was developed and enhanced for a contaminated site in Korea as a case study. Site Y was scrutinized four times previously. The site profiles for each scrutiny were reorganized based on the scrutiny reports, and the relevant data was utilized to develop and enhance CSMs. CSM for the first investigation was developed in various forms including table, flowchart, diagram, and narrative formats. CSM was enhanced in a stepwise manner by incorporating the updated profile information obtained in next investigation to existing CSM. The hypothetical data gap analysis between each investigation step was established to meet the purpose of the follow-up investigation. This case study showed that CSM is a useful tool to identify the history and current status of contaminated sites and thereby help in planning supplementary investigations for better site characterization.

전력수급계획시스템 데이터베이스 설계 및 구축에 관한 연구 (A Study on The Database Design and Construction of Power System Operational Planning System)

  • 안양근;박시우;남재현
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1998년도 하계학술대회 논문집 C
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    • pp.1012-1014
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    • 1998
  • This paper presents a database design for power system operational planning system of the integrated system for power system operational planning and analysis that will be more economical and stable of power system operation. An alias of the integrated system is Highly Integrated Total Energy System(HITES). We first describe the requirements for the Power System Planning System of HTES. Database design is processed in two phases(conceptual design and physical design), and CDM(Conceptual Data Model) and PDM(Physical Data Model) are generated by Powerdesigner(CASE tool for database design). In the future, the constructed database needs to be tested and tuning.

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DO ENTREPRENEURIAL INTENTIONS MATTER? AN EMPIRICAL INVESTIGATION THROUGH THE EYES OF GLOBAL ENTREPRENEURSHIP MONITOR

  • ;전성민
    • 한국벤처창업학회:학술대회논문집
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    • 한국벤처창업학회 2017년도 추계학술대회
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    • pp.149-153
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    • 2017
  • Intentions influence behaviors and, consequently, individual and organizational outcomes. The ability to understand intentions becomes a central issue. The objective of this study was to present and test an Entrepreneurial Intentions (EI) model. Drawing on a generally utilized paradigm, the theory of planned behavior and Shapero's model of the Entrepreneurial Event (SEE), we show the impact of individual and contextual factors on the intention development. Relying on the Global Entrepreneurship Monitor data(GEM), we test a EI conceptual model. The EI conceptual model is tested using the dataset of GEM over 30 countries and 3 subgroups. All the variables of interest indicate positive and significant effect on EI. Our results indicate that EI is influenced by Perceived Opportunity(PO), Perceived Capability(PC) and Government Support & Policy(GSP).

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Online Research와 응답자 행동모델 고찰 (Online Research and Response Behavior Model)

  • 안소현;서용한;고재중;강용수
    • 한국의류산업학회지
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    • 제2권3호
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    • pp.205-214
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    • 2000
  • With the increase of using Internet in clothing shopping, the gathering of customer information based on online research is emphasized. The purposes of this paper summarized the several aspects of on-line research as new data collection methods and investigate some characteristics through reviewing extant literature on online research. We explored a conceptual model of response behavior for the purpose of the literature in a manner which enhance a deeper understanding of online response behavior. This model was focused on exchange paradigm instead of a "help-the-sponsor" approach. The proposed conceptual framework included questionnaire design, response incentive, commitment, convenience, expertise, response behavior (satisfaction and attitude), and online research performance.

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의복 쇼핑 성향의 개념적 구조 모형에 대한 타당성 확인 연구 -성별에 따른 세부 구조 차이를 중심으로- (Validity of the Conceptual Structure of Clothing Shopping Orientation -Focused on the Specific Structure by the Gender-)

  • 김세희
    • 한국의류학회지
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    • 제29권3_4호
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    • pp.535-546
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    • 2005
  • The purposes of this study are to verify the validity of the conceptual structure of clothing shopping orientation(CSO) developed in the previous research, and to explore the difference of CSO structure between male and female consumer groups. For those purposes, data of 499 male and female consumers were collected. Confirmatory factor analysis, ANOVA, and simultaneous factor analysis were used for data analysis. The results are as follows. First, as a result of confirmatory factor analysis, the validity of conceptual structure of CSO was verified. Second, as a result of ANOVA, male and female showed significantly different CSO at the lower-dimensions level, and as a result of simultaneous factor analysis, male and female showed significantly different relationships between dimensions within the structure. This means that the CSOs of both male and female can be explained by the same CSO structure model, but the specific relationships between CSO dimensions are different by the gender of consumers. Finally, directions for fashion marketing mix concerning the CSO structures of male and female were suggested.

개념적 유역모델을 이용한 영산강 유역 오염부하 유출량의 시공간적 분포평가 (Estimation of Pollution Loads from the Yeongsan River Basin using a Conceptual Watershed Model)

  • 박민혜;조홍래;구본경
    • 한국물환경학회지
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    • 제30권2호
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    • pp.184-198
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    • 2014
  • For estimating discharge and pollution loads into the Yeongsan lake, a conceptual watershed model HSPF(Hydrological Simulation Program - Fortran) was applied to the Yeongsan River Basin. Various spatial data set including DEM, watershed boundaries and land uses were used to set up the model for the Yeongsan River Basin that was divided into 45 sub-basins. The model was calibrated and validated for the river discharges, SS, BOD, TN and TP concentrations against the data observed in 2011 at several monitoring stations. The simulation results show good agreement with the observed water flows($R^2$ = 0.46 - 0.97, NSE = 0.70 - 0.96). The simulated concentrations of SS, BOD, TN and TP are also in good agreement with the observed. The total freshwater discharge to the Yeongsan lake is estimated $2,406{\times}10^6m^3/year$ which the Jiseok and Hwangryoung stream contribute as much as 19%, 17% respectively. It is estimated that the total discharges to the Youngsan lake is SS 152,327 ton/year, BOD 15,721 ton/year, TN 10,071 ton/year, TP 563 ton/year. Both water and pollution loads are high in summer, particularly in July, when the monsoon season arrives at the Korean peninsula.

지질 데이터 모델의 객체지향 분석 및 설계를 위한 UML의 적용 (Application of UML(Unified Modeling Language) Towards Object-oriented Analysis and Design of Geo-based Data Model)

  • 이기원
    • 한국지구과학회지
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    • 제21권6호
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    • pp.719-733
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    • 2000
  • 요약: 수치지질도는 디지털 포맷으로 지리적인 정보와 연계된 공간 도형정보와 지질학적인 데이터베이스 속성정보를 갖는 지도로 정의가 가능하며, 지질정보의 수치 도면화와 지공간 정보처리가 가능한 두 가지 측면으로 활용될 수 있다. 그러나 지질 정보가 근본적으로 자연현상에 대한 실체와 다양한 원인에 기인한 복합 대상체에 대한 해석을 목적으로 하기 때문에 수치지질도 작업은 기존에 GIS의 주요 응용 분야인 도시정보시스템이나 지도 자동 도면화 등과 같이 인공지물을 다루는 방법을 바로 적용하는 경우 많은 문제점이 있다. 또한 GIS 소프트웨어의 근간을 이루는 정보기술분야의 급속한 발전과 GIS 활용분야의 확대에 따라 각 활용분야의 고유한 특성과 그에 따른 모델은 수치지질정보화에 대한 중요성 요소로 작용하게 된다. 본 연구에서는 이와 관련하여 우선 지질 데이터 모델에 대한 주요한 개념을 설명하고 지질데이터 모델에 대한 그간의 선행연구와 접근 방법을 소개하고자 한다. 또한 최근에 부각되고 있는 객체지향 모델링 방법의 핵심인 UML접근 방법과 이를 이용한 시험적인 모델을 소개하고자 한다. 이러한 접근 방법을 통하여 재사용성을 고려한 개념적인 모델과 이에 상응하는 실용적인 시스템 개발 및 표준화 연구측면에서 기존 방식에 비교하여 많은 장점을 보일 수 있다. 결론적으로 UML 접근방법을 통한 시스템 아키텍처와 이를 기반으로 한 지질정보시스템은 지구과학분야에서 GIS 활용을 위한 새로운 핵심적인 접근방식을 제공하게 될 것으로 예상된다.

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연관규칙 마이닝을 활용한 개념적 데이터베이스 설계 자동화 기법 (Automated Conceptual Data Modeling Using Association Rule Mining)

  • 손윤호;김인규;김남규
    • 한국정보시스템학회지:정보시스템연구
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    • 제18권4호
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    • pp.59-86
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    • 2009
  • Data modeling can be regarded as a series of processes to abstract real-world business concerns. The conceptual modeling phase is often regarded as the most difficult stage in the entire modeling process, because quite different conceptual models may be produced even for similar business domains based on users' varying requirements and the data modelers' diverse perceptions of the requirements. This implies that an object considered as an entity in one domain may be considered as an attribute in another, and vice versa. However, many traditional knowledge-based automated database design systems unfortunately fail to construct appropriate Entity-Relationship Diagrams(ERDs) for a given set of requirements due to the rigid assumption that an object should be classified as an entity if it has been classified as an entity in previous applications. In this paper, we propose an alternative automation system which can generate ERDs from business descriptions using association rule mining technique. Our system can be differentiated from the traditional ones in that our system can perform data modeling only based on business description written by domain workers, rather than relying on any kind of knowledge base. Since the proposed system can produce various versions of ERDs from the same business descriptions simultaneously, users can have the opportunity to choose one of the ERDs as being the most appropriate, based on their business environment and requirements. We performed a case study for personnel management in a university to evaluate the practicability of the proposed system This paper summarizes the result of it in the experiment section.

현대 도시 주거의질(질) 예측을 위한 개념적 모형에 관한 연구 -서울과 대전 지역을 중심으로- (A Study on a Conceptual Model for Housing Quality in Urban Area)

  • 최목화
    • 대한가정학회지
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    • 제26권2호
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    • pp.49-67
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    • 1988
  • The purpose of this study was to present a conceptual model for predicting housing quality. Housing quality was measured in three ways: perceived quality about physical features of houses, perceived level of the quality in comparison with perceived average level I urban area and housing satisfaction. The specific objectives to achieve the purpose were ; 1) to measure the perceived quality about physical features of houses and perceived level of the quality in comparison with the perceived average level I urban 2) to measure the level of housing satisfaction 3) to clarify the causality between the composite variables of housing quality. A final instrument was developed through two stage pilot surveys. The respondents were 1292 homemakers of middle and high economic class in seoul and Daejeon, selected through stratified random sampling technique. Data were collected during March and April, 1986, and analyzed using SPSS and SAS computer packages. The statistics used were frequency, percentage, F-test, Duncan's Multiple Range, x2, Cramer's V, Multiple linear Regression, Path analysis. The major finding were as follows; the variables significantly related to predict the housing quality were found. The simple, composite variables and 3 measures of housing quality were linked using path analysis, thereby a conceptual model predicting housing quality was suggested.

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국내 오염부지 조사 개선을 위한 US EPA 스마트 스코핑 기술 소개 (Introduction to US EPA Smart Scoping Technical Guide for Improving Pollution Site Investigation)

  • 김보민;김한석;권만재;조호영
    • 한국지하수토양환경학회지:지하수토양환경
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    • 제25권2_spc호
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    • pp.70-85
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    • 2020
  • This paper introduces the 'Smart Scoping for Environmental Investigations Technical Guide' issued by the US Environmental Protection Agency in 2018, which describes the use of smart scoping during lifecycle of remedial investigation projects. This paper also briefly summarizes the guidelines of soil and groundwater contamination investigation of South Korea. The smart scoping practices can support the development of a robust and realistic conceptual site model that is very useful for investigations and evaluations of the contaminated site. The application of evaluation tools relevant for the site-specific characteristics is important for the development of a conceptual site model. The smart scoping recommends the use of previous investigation data and implementation of best proven strategies for successful remedial investigation project. The use of smart scoping in contaminated site investigation will provide better management of contaminated sites.