• 제목/요약/키워드: Case-Based System

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수소 연료전지 하이브리드 시스템 기반 메탄올 연료추진 선박에서 CCU 적용에 따른 시스템 특성 분석 (Characteristics of the Carbon Capture and Utilization System in Methanol Fuel Propulsion Ships Based on the Hydrogen Fuel Cell Hybrid System)

  • 이윤호;김준호
    • 해양환경안전학회지
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    • 제30권2호
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    • pp.239-251
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    • 2024
  • 본 연구에서는 온실가스 배출을 감축하기 위해 메탄올을 추진 연료로 사용하는 선박에 수소 연료전지 시스템이 추가된 하이브리드 시스템 공정을 설계하였다. Case1에서는 메탄올 연료 엔진 시스템을 설계하여, 엔진에 가솔린 대신 메탄올을 연료로 공급했을 때의 배기가스 배출량을 알아보았다. Case2에서는 Case1에 메탄올 개질 시스템을 추가해, 수소연료전지 시스템을 설계하였다. 이 하이브리드 시스템에서는 그레이 수소를 생산하며, 엔진과 연료전지의 출력을 조합하여 선박을 구동한다. 하지만 그레이 수소는 수소를 생산하는 과정에서 탄소를 배출한다는 단점이 있다. 이 점을 보안하기 위해 Case3에서는 CCU시스템을 추가하였다. Case2에서 배출한 Flue gas의 이산화탄소를 포집한 후, 그레이 수소와 합성해 블루 메탄올을 생산하였다. 본 연구에서는 Case study를 통해 개질 온도220℃, 개질 압력500kPa, SCR은 1.0, flow ratio가 0.7일 때 최적의 운전조건임을 알 수 있었다. Case3의 시스템은 Case1에 비해 탄소 배출량을 42% 감소시켰다. 결과적으로, Case3의 하이브리드 시스템을 통해 선박의 이산화탄소 배출을 유의미하게 저감할 수 있을 것으로 예상한다.

신뢰도 예측 기반 신뢰도 성장 관리 : 감시체계 사례 (Reliability Prediction Based Reliability Growth Management : Case Study of Surveillance System)

  • 김상부;박우재;유재우;이자경;용화영
    • 품질경영학회지
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    • 제47권1호
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    • pp.187-198
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    • 2019
  • Purpose: In this study, a reliability prediction based reliability growth management is suggested especially for the early development phase of a system and the case study of surveillance system is given. Methods: The proposed reliability prediction based reliability growth management procedures consists of 7 Steps. In Step 1, the stages for reliability growth management are classified according to the major design changes. From Step 2 to Step 5, system reliability is predicted based on reliability structures and the predicted reliabilities of subsystems (Level 2) and modules (Level 3). At each stage, by comparing the predicted system reliability with that of the previous stage, the reliability growth of the system is checked in Step 6. In Step 7, when the predicted value of sustem reliability does not satisfy the reliability goal, some design alternatives are considered and suggested to improve the system reliability. Results: The proposed reliability prediction based reliability growth management can be an efficient alternative for managing reliability growth of a system in its early development phase. The case study shows that it is applicable to weapon system such as a surveillance system. Conclusion: In this study, the procedures for a reliability prediction based reliability growth management are proposed to satisfy the reliability goal of the system efficiently. And it is expected that the use of the proposed procedures would reduce, in the test and evaluation phase, the number of corrective actions and its cost as well.

철도시스템에 대한 RAM Case 적용에 관한 연구 (A Study on the application of RAM Case for Railway System)

  • 백영구;송기태;김민호;이기서;신건영;이덕규
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2007년도 추계학술대회 논문집
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    • pp.683-688
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    • 2007
  • The importance of reliability and safety, recently, shows a tendency to increases in railway system constructions and projects. At the point of view of safety, especially, the railway authority proposes an establishment of the safety case that is the documented demonstration that products comply with the specific safety requirements in railway industry. In case of reliability activities, there is no systematic documented demonstration in the railway industry. At this circumstance, this study presents the establishment of Reliability, Availability and Maintainability Case for railway system based on the MoD(Ministry of Defence) 00-42. This RAM Case will support that systems and products produced from suppliers or manufacturers meet the specific RAM requirements during the system life cycle(i.e, from design to operation & maintenance) through systematic process and evidences. Also, it is expected that railway system operations will be managed and supported from reliability activities in accordance with RAM Case.

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Electrical Fire Cause Diagnosis System based on Fuzzy Inference

  • Lee, Jong-Ho;Kim, Doo-Hyun
    • International Journal of Safety
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    • 제4권2호
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    • pp.12-17
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    • 2005
  • This paper aims at the development of an knowledge base for an electrical fire cause diagnosis system using the entity relation database. The relation database which provides a very simple but powerful way of representing data is widely used. The system focused on database construction and cause diagnosis can diagnose the causes of electrical fires easily and efficiently. In order to store and access to the information concerned with electrical fires, the key index items which identify electrical fires uniquely are derived out. The knowledge base consists of a case base which contains information from the past fires and a rule base with rules from expertise. To implement the knowledge base, Access 2000, one of DB development tools under windows environment and Visual Basic 6.0 are used as a DB building tool. For the reasoning technique, a mixed reasoning approach of a case based inference and a rule based inference has been adopted. Knowledge-based reasoning could present the cause of a newly occurred fire to be diagnosed by searching the knowledge base for reasonable matching. The knowledge-based database has not only searching functions with multiple attributes by using the collected various information(such as fire evidence, structure, and weather of a fire scene), but also more improved diagnosis functions which can be easily wed for the electrical fire cause diagnosis system.

공항철도 기전시스템의 종합안전대책기술서 (Safety Case for AREX's E&M System)

  • 이창환;임성수;송미옥
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2007년도 춘계학술대회 논문집
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    • pp.280-288
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    • 2007
  • This paper is based on the safety case as specified in the E&M system safety management plan established in initially AREX project. The safety case for E&M system is the synthesis of all safety activities throughout the design, manufacturing, installation and commissioning test for E&M system. The safety level of E&M system which is required by E&M contract is assured by accomplishment of safety activities and procedures in accordance with EN standards.

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The research about RTPM system construction that apply use case modeling methodology

  • Eun Young-Ahn;Kyung Hwan-Kim;Jae Jun-Kim
    • 국제학술발표논문집
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    • The 3th International Conference on Construction Engineering and Project Management
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    • pp.464-471
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    • 2009
  • Robot and application of IT skill of construction industry are slow comparatively than another thing industry by the feature. This research proposes progress management and real time information gathering through construction automation and RFID focused on steel structure construction. Building for RTPM system, must consider various variables and surrounding situation in construction field and it is the most important and difficult matter that draw right requirement and grasp relation between this requirements to accomplish one suitable task considering these environment. Therefore, in this study analyzes requirement and target for RTPM system based on scenario that is easy to draw requirement and apply this to use case model. Presented method suggests that represent relation between goals and way that refines goal systematically from requirement of RTPM system. And it could express for visualization through the Way that attaches nonfunctional elements of system with system internal goal.

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퍼지추론을 이용한 지식기반 전기화재 원인진단시스템 (A Knowledge-based Electrical Fire Cause Diagnosis System using Fuzzy Reasoning)

  • 이종호;김두현
    • 한국안전학회지
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    • 제21권3호
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    • pp.16-21
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    • 2006
  • This paper presents a knowledge-based electrical fire cause diagnosis system using the fuzzy reasoning. The cause diagnosis of electrical fires may be approached either by studying electric facilities or by investigating cause using precision instruments at the fire site. However, cause diagnosis methods for electrical fires haven't been systematized yet. The system focused on database(DB) construction and cause diagnosis can diagnose the causes of electrical fires easily and efficiently. The cause diagnosis system for the electrical fire was implemented with entity-relational DB systems using Access 2000, one of DB development tools. Visual Basic is used as a DB building tool. The inference to confirm fire causes is conducted on the knowledge-based by combined approach of a case-based and a rule-based reasoning. A case-based cause diagnosis is designed to match the newly occurred fire case with the past fire cases stored in a DB by a kind of pattern recognition. The rule-based cause diagnosis includes intelligent objects having fuzzy attributes and rules, and is used for handling knowledge about cause reasoning. A rule-based using a fuzzy reasoning has been adopted. To infer the results from fire signs, a fuzzy operation of Yager sum was adopted. The reasoning is conducted on the rule-based reasoning that a rule-based DB system built with many rules derived from the existing diagnosis methods and the expertise in fire investigation. The cause diagnosis system proposes the causes obtained from the diagnosis process and showed possibility of electrical fire causes.

국내 초고층 건물의 사례 데이터베이스를 이용한 사례기반추론기법 (Case-Based Reasoning Method Using Case Data Base of Tall Buildings in Korea)

  • 송화철;박수용;김수환
    • 한국공간구조학회논문집
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    • 제7권6호
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    • pp.75-82
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    • 2007
  • 본 연구에서는 국내 초고층 건물 사례들을 바탕으로 사례 데이터베이스를 구축하여 구조시스템 대안 생성 및 선정 업무를 효율적으로 처리 할 수 있는 설계지원시스템을 개발하였으며, 사례 데이터베이스의 정보를 이용한 사례기반추론기법을 제안하였다. 국내 47개 초고층 건물에 대한 사례 데이터베이스의 설계정보를 분석하여 초기설계 단계에서 구조시스템 선정을 위한 귀납적 조회 모듈 및 유사사례선정을 위한 최근린 조회기법도 제시하였다.

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트랜잭션 기반 데이타베이스 응용프로그램의 안전성 자동 검증 및 자동 튜닝 (Automatic Verification and Tuning of Transaction-based Database Applications)

  • 강현구;이광근
    • 한국정보과학회논문지:데이타베이스
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    • 제32권1호
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    • pp.86-99
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    • 2005
  • 본 논문에서는 프로그램 분석 기술에 기반하여, 주어진 프로그램 내에서 트랜잭션 처리 관련 오류를 자동으로 검출해주고, 성능저하 요소가 발견되면 자동으로 개선된 코드로 변환하여 주는 시스템을 제안한다 트랜잭션 처리 오류란 트랜잭션을 열고서 닫지 않는 경우나, 잘못된 잠금수준(Locking-Level)을 설정하는 경우를 말한다 전자의 경우, 원하는 대로 데이타가 저장되지 않거나 장시간 데이타베이스 테이블을 잠금(Locking)으로써 시스템 전체의 성능을 떨어뜨릴 수 있다. 후자의 경우. 시스템에 따라 예외상황이나 프로그램의 파행적 실행 중단을 야기한다. 비효율적인 트랜잭션 처리란, 트랜잭션 영역(Boundary) 또는 잠금수준을 비효율적으로 설계하여서 다른 프로세스들의 트랜잭션을 지연시키는 경우를 말한다.

사례기반추론과 규칙기반추론을 이용한 e-쇼핑몰의 상품추천 시스템 (Recommending System of Products on e-shopping malls based on CBR and RBR)

  • 이건호;이동훈
    • 정보처리학회논문지D
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    • 제11D권5호
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    • pp.1189-1196
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    • 2004
  • e쇼핑몰 경영자들은 고객들의 다양한 제품 구매 욕구를 충족시키기 위한 효율적 시스템에 많은 관심을 가지고 있다. 인터넷 쇼핑몰 운영에 있어 고객들의 개인적 구매 특성 및 취향을 파악하여 고객들을 효과적으로 관리하는데 많은 어려움이 있다. 상품 추천의 과정이 기획된 소수의 특정 상품을 고객의 유형 및 특성들의 고려 없이 공급자 중심으로 이루어져 고객관리의 문제점으로 지적되고 있다. 본 연구에서는 고객위주의 추천을 위해 규칙기반추론(Rule-Based Reasoning, RBR)과 사례기반추론(Case-Based Reasoning, CBR)을 하여 고객의 취향 및 구매 특성에 따른 추천방법을 제시한다. 기존의 제품 판매정보와 고객정보를 이용해 생성한 규칙베이스와 사례베이스의 고객특성과 입력된 고객특성의 유사도를 평가해서 고객의 취향에 따라 추천하도록 한다. 생성된 규칙과 사례기반의 추론으로 기존의 정보를 효과적으로 사용하고 또한 고객 및 시장 상황의 변화를 인식하고 지속적인 학습을 수행하여 지능적 추천이 이루어진다.