• Title/Summary/Keyword: 시스템 식별법

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Expansionary mechanism of Component Design Workflow based on Use-case (유즈케이스 기반의 컴포넌트 설계 워크플로우 확장 매커니즘)

  • 신정은;장용혁;조현훈;류성열
    • Proceedings of the Korean Information Science Society Conference
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    • 2001.10a
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    • pp.388-390
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    • 2001
  • 컴포넌트 기반의 소프트웨어의 중요성은 널리 인식되어, 국내에서도 컴포넌트화 된 시스템 개발은 이미 큰 조류를 형성하고 있다. 개발된 컴포넌트들을 인터페이스만을 통해 대체가 용이하도록 하기 위해서는 컴포넌트 식별 과정에서 전체 시스템을 관리하는 아키텍쳐를 구성해야 한다. 본 논문에서 제시하는 컴포넌트 식별은 요구 사항 분석을 통한 유즈케이스 모델을 중심으로 이루어진다. 또한 시스템 아키텍쳐를 유지하는 컴포넌트 생성을 위해서 비즈니스 계층과 시스템 계층의 산출물들을 파악하여, 컴포넌트를 위한 구성요소를 추출한다 추출된 구성요소를 기반으로 UML 표기법과 확장 매커니즘을 적용하여 컴포넌트설계 워크플로우를 모델링 하고자 한다.

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A Study on Practical PMM Test Technique for Ship Maneuverability Using System Identification Method (선박의 조종성능 추정에 있어서 시스템식별법을 이용한 PMM 시험 기법에 대한 연구)

  • 이태일;권순홍
    • Journal of Ocean Engineering and Technology
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    • v.16 no.6
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    • pp.25-31
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    • 2002
  • A system identification method is introduced to increase the prediction accuracy of a ship's maneuverability in PMM test, analysis. To improve the accuracy of linear hydrodynamic coefficients, the analysis techniques of pure sway and yaw tests are developed, and confirmed. In the analysis of sway tests, accuracy to linear hydrodynamic coefficients depends on the frequency of sway motion. To obtain nonlinear hydrodynamic coefficients for large drift angles, a combined yaw test is introduced. Using this system identification method, runs of PMM test can be reduced while retaining sufficient accuracy, compared to the Fourier integration method. Through the comparisons with sea trial results and the Fourier integration method, the accuracy and efficiency of the newly proposed system identification method, based on least square method, has been validated.

A Study on the Effective Database Integration Methodology - The Identification of Name Conflict - (데이터베이스의 효과적인 통합방안에 관한 연구 - Name Conflict의 식별을 중심으로-)

  • Lee Hong-Girl;Higa Kunihiko;Fujikawa Takayuki
    • Journal of Navigation and Port Research
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    • v.29 no.5 s.101
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    • pp.457-464
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    • 2005
  • Database integration has been recognized as a critical issue for effective logistics service in logistics environment. However, research related to effective methodology for this have been little studied, and also, prominent achievements have yet to be suggested. The aim of this paper is to present a quantitative methodology for the identification of conflict that is a representative problem on database integration. To achieve this aim, we suggested a quantitative methodology that can efficiently fine troubles such as name conflicts when schema integration, based on the level of semantic similarity between attributes and entities. And, in order to measure these semantic similarities, we used a thesaurus dictionary that proposed previous research. Finally, we presented effectiveness of the proposed methodology through some typical examples.

Facial Triangle and Histogram Analysis for Automatic Super-impose Individual Recognition (자동 개인식별을 위한 안면삼각법과 히스토그램분석)

  • 이진행;송현교;강민구
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.3 no.2
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    • pp.321-327
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    • 1999
  • In this progressed super-impose individual recognition system, the photograph of a skull was caught by CCD-camcoder with the MPEG, and an ante-mortem photograph was read by scanner. These two images were processed and superimposed using horizontal angle and vertical angle of face using the forensic dental medicine theory. The enhancement of super-impose individual recognition by anatomical references was performed on the two superimposed images of the same angle using the facial triangle and histogram analysis scheme.

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Intelligent Feature Extraction and Scoring Algorithm for Classification of Passive Sonar Target (수동 소나 표적의 식별을 위한 지능형 특징정보 추출 및 스코어링 알고리즘)

  • Kim, Hyun-Sik
    • Journal of the Korean Institute of Intelligent Systems
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    • v.19 no.5
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    • pp.629-634
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    • 2009
  • In real-time system application, the feature extraction and scoring algorithm for classification of the passive sonar target has the following problems: it requires an accurate and efficient feature extraction method because it is very difficult to distinguish the features of the propeller shaft rate (PSR) and the blade rate (BR) from the frequency spectrum in real-time, it requires a robust and effective feature scoring method because the classification database (DB) composed of extracted features is noised and incomplete, and further, it requires an easy design procedure in terms of structures and parameters. To solve these problems, an intelligent feature extraction and scoring algorithm using the evolution strategy (ES) and the fuzzy theory is proposed here. To verify the performance of the proposed algorithm, a passive sonar target classification is performed in real-time. Simulation results show that the proposed algorithm effectively solves sonar classification problems in real-time.

Structural System Identification using adaptive design domain approach (적응성 설계영역 기법을 이용한 구조 시스템 식별)

  • Jang, Seong-Min;Baek, Sung-Min;Cho, Meang-Hyo
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2009.04a
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    • pp.146-150
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    • 2009
  • 구조 시스템 식별은 역문제로서 이상화된 유한요소 모델을 실험치와 일치시키기 위해 유한요소모델을 보정하는 형태로 주로 이루어진다. 이를 위해 비선형 섭동법이 사용되고 있으며 이 방법을 실제 문제에 사용하기 위해서 시스템 축소법에 대한 연구가 진행 되고 있다. 하지만 기존의 방법에서는 유한요소모델의 모든 요소가 실험치와 다르다고 가정하여서 전체 요소 수만큼의 설계 변수를 두어서 역해석을 수행한다. 이런 기존의 방법에서는 시스템이 커짐에 따라 연산 시간이 기하급수적으로 증가하게 되어 어려움이 있다. 설계 변수의 증가는 해공간(solution space)의 확장을 의미하며 이는 해의 정확성에 큰 영향을 끼친다. 본 연구에서는 모델을 적은 수의 설계영역으로 나누어서 반복연산 단계마다 해의 경향성을 이용해서 설계 영역을 전략적으로 변경하는 적응성 설계영역기법을 제안한다. 수치예제를 통해 본 연구에서 제안하는 기법의 정확도와 효용성을 고찰한다.

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Fatigue Damage Estimation for Mooring lines of Spar Platform Using System Identification Method (시스템 식별법을 이용한 스파 플랫폼 계류라인의 피로 수명 예측)

  • Kim, Yong-Gyun;Kim, Yooil;Kim, Byoung-Hoon
    • Journal of Ocean Engineering and Technology
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    • v.30 no.3
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    • pp.161-168
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    • 2016
  • This paper presents a methodology through which the time series of the dynamic response of mooring line tension can be predicted without relying on a time-consuming nonlinear time-domain analysis. The mooring line tension for the target short-term sea states was predicted using a Hammerstein-Wiener model, a popular system identification scheme, based upon the pre-calculated motion-tension time history data for some selected short-term sea states that do not overlap with the targeted ones. The obtained mooring line tension was further processed, and a fatigue damage comparison was made between the predicted and calculated values. The results showed that the predicted time series of the mooring line tension matched the calculated one fairly well. Thus, it is expected that the methodology may be employed to enhance the efficiency of mooring line tension analysis.

Architectural Approach Identification and Evaluation of Message System Using Design Pattern (설계 패턴을 활용한 라시지 시스템의 소프트웨어 아키텍처 접근법 식별 및 평가)

  • Koh, Hyon-Hee;Kung, Sang-Hwan;Park, Tae-Nyon
    • Journal of Internet Computing and Services
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    • v.6 no.4
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    • pp.9-20
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    • 2005
  • To design a software system in success, architectural approaches which are in basis of architectural design, must be primarily selected. What to chose among various architecture styles as specific as architectural approaches, varies along with the system status of what kind of functional or non-functional quality requirements should satisfy. In this study, we propose the evaluation model for making a selection of architectural approaches, and select an architectural approach for message system actively using in diversified internet utilization and enterprise application integration, In other words, if there may be possibly existed several architectural approaches, we present the most suitable method of architectural approach out of them through an evaluation of analyzing the system requirements satisfaction level. In addition, when it performs specific design and implementation utilizing design patterns based on thread, developers would be able to link up the architecture design directly.

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단시간 스펙트럼에 기초한 주파수특성을 고려한 잡음차감 기법

  • Choe, Jae-Seung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.10a
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    • pp.824-826
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    • 2015
  • 최근 음성인식 시스템의 성능 향상은 많이 개선되었지만 아직도 잡음과 같은 문제로 인하여 문제점이 나타나고 있다. 음성인식 시스템에 있어서의 잡음 문제를 해결함으로써 인식 성능을 향상할 목적으로 본 논문에서는 단시간 스펙트럼에 기초한 주파수특성을 고려한 위너필터를 사용한 잡음 차감 알고리즘을 제안한다. 제안한 알고리즘은 먼저 각 프레임에서 문턱값을 검출한 후에 비묵음 구간과 묵음 구간을 식별한다. 각 프레임에 대해서 비묵음 구간에서는 위너필터법에 의한 잡음 차감법을 실시하며, 묵음 구간에 대해서는 일반적인 잡음 차감법을 적용한다.

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