• Title/Summary/Keyword: 항목 모델

Search Result 991, Processing Time 0.028 seconds

An Extended Faceted Classification Scheme and Hybrid Retrieval Model to Support Software Reuse (소프트웨어 재사용을 지원하는 확장된 패싯 분류 방식과 혼합형 검색 모델)

  • Gang, Mun-Seol;Kim, Byeong-Gi
    • The Transactions of the Korea Information Processing Society
    • /
    • v.1 no.1
    • /
    • pp.23-37
    • /
    • 1994
  • In this paper, we design and implement the prototype system, and propose the Extended Faceted Classification. Scheme and the Hybrid Retrieval Method that support classifying the software components, storing in library, and efficient retrieval according to user's request. In order to designs the classification scheme, we identify several necessary items by analyzing basic classes of software components that are to be classified. Then, we classify the items by their characteristics, decide the facets, and compose the component descriptors. According to their basic characteristics, we store software components in the library by clustering their application domains and are assign weights to the facets and its items to describe the component characteristics. In order to retrieve the software components, we use the retrieval-by-query model, and the weights and similarity for easy retrieval of similar software components. As the result of applying proposed classification scheme and retrieval model, we can easily identify similar components and the process of classification become simple. Also, the construction of queries becomes simple, the control of the size and order of the components to be retrieved possible, and the retrieval effectiveness is improved.

  • PDF

Improved Method for VE Items Selection by Analysing the Required Items of Stakeholder on the Apartment in Design Phase (공동주택의 설계VE단계에서 주체별 요구항목 분석을 통한 대상선정 개선방안)

  • Jeong, Ho-Geun;Yang, Jin-Kook;Lee, Sang-Beom
    • Korean Journal of Construction Engineering and Management
    • /
    • v.9 no.4
    • /
    • pp.111-119
    • /
    • 2008
  • VE is one of the most effective and systematic tool available to achieve the required function at minimum cost and manage in many industrial fields. The purpose of the preparation phase VE job plan is to establish a cooperation system referring to groups for the successful implementation of VE, and to achieve a common objective to collect sufficient materials required in the analysis phase. The Quality Model is used to measure the requirement of shareholders(users and owners)in the project. It also offers a guideline on decision making when executing the function definition, function arrangement, function evaluation, and the idea evaluation of VE. However, the current the preparation phase business confirms that the required items of owners and users has not suggested definite goals and directions. This study analyzes the problems of current work in the preparation phase from case study, survey and interviews of experts. It then proposes a new process after understanding the required items of owners, users and experts.

Predicting the influent properties in an infiltration trench through deep learning analysis (딥러닝 분석을 통한 침투도랑 내 유입수 성상 예측분석)

  • Jeon, Minsu;Choi, Hyeseon;Geronimo, Franz Kevin;Heidi, Guerra;Jett, Reyes Nash;Kim, Leehyung
    • Proceedings of the Korea Water Resources Association Conference
    • /
    • 2022.05a
    • /
    • pp.363-363
    • /
    • 2022
  • LID 시설에 대한 모니터링은 인력을 활용한 실강우 모니터링을 진행하고 있으나 LID 시설은 소규모 분산형시설로서 인력을 동원한 식생고사, 강우시 모니터링, 현장답사 등 꾸준한 시설확인에 한계가 있으며, LID 시설을 조성한 이후 적정한 유지관리 방법(주기, 빈도, 항목 등)을 인지하지 못하여 막힘현상, 효율저하, 식물고사 등의 문제가 발생한다. 따라서 본연구에서는 딥러닝 분석을 활용하여 강우시 강우모니터링 자료와 LID 시설 내 센서를 통해 측정된 자료를 통해 침투도랑 내 유입수 성상에 대한 예측분석을 수행하였다. 심지 내 LID 시설에 유입되는 오염물질을 예측을 위한 딥러닝 분석을 위해 과거 실강우시 모니터링 자료(TSS, COD, TN, TP)와 대기센서(대기습도, 대기온도, 강수량, 미세먼지) 데이터를 활용하여 딥러닝 모델에 대한 적용가능성 평가를 수행하였다. 측정항목에 대한 상관성 분석을 수행하였으며, 딥러닝 모델은 Tenser Flow를 이용하여 DNN(Deep Neural Network)모델을 활용하여 분석하였다. DNN 모델에 대한 MSE값은 0.31로 분석되었으며, TSS에 대한 평균 50.6mg/L로 분석되었으며, COD 평균 98.7 mg/L로 나타났다. TN의 평균 2.21 mg/L로 분석되었으며, TP 평균 0.67 mg/L로 나타났다. 상관계수분석결과 TSS는 0.53로 분석되었으며, TN과 TP의 상관계수는 0.10, 0.56으로 나타났다. COD의 상관계수는 0.63으로 TSS와 COD, TP에 대한 예측이 된 것으로 분석되었다. 딥러닝을 통한 LID 시설 내 농도변화 예측시 강우시 센서데이터 값은 조밀해야하며 오염물질 농도와 상관성이 높은 항목들에 대해 계측과 실강우 모니터링 자료를 축적하여 미래에 대한 활용성을 높여야 한다.

  • PDF

Development of dietary behavior items available in Korea National Health and Nutrition Examination Survey (국민건강영양조사에 활용 가능한 식생활 조사항목 개발 및 유용성 검증)

  • Lim, A-Hyun;Choi, Suk-Young;Shim, Jae-Eun;Hwang, Ji-Yun;Moon, Hyun-Kyung;Kim, Kirang
    • Journal of Nutrition and Health
    • /
    • v.48 no.5
    • /
    • pp.407-418
    • /
    • 2015
  • Purpose: Given that the indicators related to chronic diseases are important to evaluating goals of the national health policy, the aim of this study was to develop dietary behavior items available in the Korea National Health and Nutrition Examination Survey. Methods: The dietary behavior items were developed based on the literature reviews, need assessment of the field, expert focus-group interviews, and expert advisory meeting. Questions for each dietary behavior item were developed by reflecting on environmental, personal, and behavior factors of the ecological frame and then revised through expert focus-group interview and expert advisory meeting. The understanding and reliability of the developed questionnaire were assessed by cognitive interview and test-retest reliability. Results: The developed items were sodium and salt intake, added and simple sugar intake, enough time to consume a meal for all ages, caffeine drinks and fresh/healthy food intake for children and adolescents, and limited dietary intake, fresh/healthy food intake for seniors. In most questions except some questions on sodium and salt intake, subjects understood over 70% and consistency of responses based on the kappa values was acceptable. Conclusion: Developed dietary behavior items are expected to be useful for evidence-based nutrition policy, interventions and research targeting dietary patterns through investigating and monitoring dietary behavior patterns.

Sensitivity Analysis for Fire Risk Conditions of Fire Area at Nuclear Power Plant with Performance-based Fire Model (FDS) (성능기반 화재모델(FDS)을 이용한 원전 방화지역 화재위험 분석조건에 대한 민감도 해석)

  • Jee, Moon-Hak;Lee, Byung-Kon;Jeoung, Rae-Hyuck
    • Fire Science and Engineering
    • /
    • v.21 no.2 s.66
    • /
    • pp.98-104
    • /
    • 2007
  • This study is related with the fire risk assessment for fire area at nuclear power plant by use of FDS (Fire Dynamics Simulator) that is a computational fluid dynamics (CFD) model of fire-driven fluid flow. The major purpose of this research is to analyze the sensitivity of the fire modeling when the heat release rate that is an important input variable is changed as well as when the grid size that is a critical factor of the fire model is modified. The result is presented at the conclusion with some comments for CFD model application.

An Study on the Impact of N/A Check Item on the Security Level Result through Empirical Verification (실증검증을 통한 N/A 점검항목이 보안 수준 결과에 미치는 영향에 관한 연구)

  • Lee, Jun Ho;Sung, Kyung Sang;Oh, Hea Seok
    • KIPS Transactions on Computer and Communication Systems
    • /
    • v.3 no.8
    • /
    • pp.271-276
    • /
    • 2014
  • This study analyzed that N/A check items affect the results of the security level degree, when performing vulnerability analysis evaluation. For this, we were used vulnerability analysis evaluation range, check items and quantitative calculation method. Furthermore, were applied grade and weight for the importance of the items. In addition, because technology develop rapidly, the institution is always exposed risk. therefore, this study was carried out empirical analysis by applying RAL(Risk Acceptabel Level). According to the analyzed result N/A check items factors affecting the level of security has been proven. In other words, this study found that we shall exclude inspection items irrelevant to the institution characteristics, when perform vulnerability analysis evaluation. In this study suggested that security level evaluation shall performed, after that exclude items irrelevant to the institution characteristics based on empirical verification. And also, it proposed that model research is required for establish check items for which analysis-evaluate vulnerability based on empirical verification.

Construction of Preservation Description Framework for Digital Archiving (디지털 아카이빙을 위한 보존 기술항목 프레임워크 구축)

  • Lee, Seungmin
    • Journal of Korean Library and Information Science Society
    • /
    • v.48 no.4
    • /
    • pp.129-151
    • /
    • 2017
  • Information modeling that is broadly applied in digital archiving process privides conceptual process that can be used to guide the creation of descriptions for the objects of preservation. However, it has faced with the limitations on substantially applying to the creation of preservation metadata records. This research proposes the concept of Resource Cluster in order to address these problems and efficiently describe the objects of preservation during digital archiving process. It also constructed Preservation Description Framework (PDF) based on RDF in order to substantially manifest preservation descriptions. This framework combines the structure of OAIS Reference Model and Functional Requirements for Bibliographic Records (FRBR) and can be an alternative approach to the creation of preservation metadata in more efficient and effective ways.

Development of a Decision Making Model for Construction Management in LNG Plant Construction - Focused on Construction Stage - (LNG 공사의 건설사업관리 의사결정지원모델 개발 - 시공단계 중심 -)

  • Park, Hwan Pyo;Han, Jae Goo;Chin, Kyung Ho
    • Korean Journal of Construction Engineering and Management
    • /
    • v.15 no.3
    • /
    • pp.47-57
    • /
    • 2014
  • LNG plant projects tend to be implemented in overseas owing to its characteristics, so their project management scheme is somewhat different from those of general projects. Value chain in a LNG plant project includes exploration/production of gases, physical liquefaction/chemical conversion processes, transportation and storage. Key factors in the chain include liquefaction process (including ultra-low temperature liquefaction) to convert natural gas into liquid materials or fuel, and Front End Engineering Design (FEED) package, as well as Engineering, Procurement and Construction (EPC) technology comprising control, operation and construction. Success of a complex LNG plant project implemented in overseas depends on decision-making process in project management. Accordingly, to develop a decision-making model in of plant construction, the study extracted none factors in project management by EPC stage and assessed importance of each factor. The result showed that items in both project management and project risk management are important. Especially, the study developed a decision-making model in the construction stage of a LNG plant project based on the project management factors and importance assessment. The developed decision-making model would lay groundwork in building a decision-making system in construction stage of project management.

Improving Sparsity Problem of Collaborative Filtering in Educational Contents Recommendation System (협업 여과의 희소성을 개선한 교육용 컨텐츠 추천 시스템)

  • 이용준;이세훈;왕창종
    • Proceedings of the Korean Information Science Society Conference
    • /
    • 2003.04a
    • /
    • pp.830-832
    • /
    • 2003
  • 본 논문에서는 교육용 컨텐츠 추천시스템의 정확도를 향상시키고자 사용자 모델 정보를 활용하여 기존의 협업여과 방법의 유사도 재산을 보완함으로써 추천의 정확도를 향상시키는 방법을 제안하고자 한다. 협업여과방법은 사용자의 평가와 비슷한 선호도를 가지고 다른 사용자의 평가를 기반으로 제품이나 항목을 예측하고 이를 사용자에게 추천한다. 그러나 협업여과방법은 일정 수 이상의 상품이나 항목에 대한 평가가 이루어져야 하며, 사용자의 평가가 적은 경우 희소성으로 인한 평가의 정확도가 낮아지는 단점을 기지고 있다. 본 논문에서는 인구 통계 정보를 이용한 가상 평가 점수를 반영하여 유사도 계산시 희소성을 낮춰 예측의 정확도를 향상시키고자 한다.

  • PDF

Design and implementation of simulator for fault coverage analysis of commuication protocol test case (통신 프로토콜 시험항목의 오류 발견 능력 분석을 위한 시뮬레이터의 설계 및 구현)

  • 김광현;허기택;이동호
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.22 no.8
    • /
    • pp.1823-1832
    • /
    • 1997
  • In this ppaer, fault coverage analysis of a conformance test case for communication protocols, specified as a deterministic finite state machine(DFSM) is presented. The fault coverage analysis of a test case is defined by measuring the extent of the faults detected using a generated test case. The method that evaluates fault coverage analysis for a test case, has been researched by arithmetic analysis and simulation. In this paper, we designed and implemented a simulator for fault coverage analysis of a communication protocol teat case. With this result for Inres protocol, output fault and state merge and split fault have a high fault coverage of 100%. This simulator can be widely used with new fault coverage analysis tools by applying it to various protocols.

  • PDF