• Title/Summary/Keyword: 구조 시스템 식별

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Estimation of Roll Related Coefficients of a Ship by Using the System Identification Method (시스템 식별법을 이용한 선박의 횡동요 계수 추정)

  • 윤현규;손남선
    • Journal of the Society of Naval Architects of Korea
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    • v.41 no.4
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    • pp.53-58
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    • 2004
  • When a fast container ship or a naval vessel is turning, comparable roll motions occur. Therefore, roll effect has to be considered in the horizontal equations of motion of the ship to predict the maneuverability well. In this thesis, a new method to determine a roll model structure and estimate its coefficients by applying the system identification technique to the data of sea trial tests was proposed. The simulation results from the estimated roll model were well consistent with the true one in spite of the difference between the estimated and the true model structures of roll hydrodynamic moment.

The design of an Intelligent P2P mobile agent to support effective users' context-awareness and service (효과적인 사용자 컨텍스트 인식 및 서비스 지원을 위한 지능형 P2P 모바일 에이전트 설계)

  • Yun Hyo-Gun;Lee Sang-Yong
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2005.04a
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    • pp.374-377
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    • 2005
  • 유비쿼터스 컴퓨팅 환경에서는 사용자 주변의 센서로부터 각종 컨텍스트 정보를 입력받아 사용자를 식별하고 필요한 자원을 분배하는 과정이 중요하다. 하지만 사용자 식별 및 자원 분배 과정에서 특정 사용자에 의해 자원의 독점 현상이 발생되기 때문에 다른 사용자들에게 효과적으로 자원을 분배할 수 없다. 이를 위해 센서와 자원의 공유에 대한 연구가 필요하다. 본 연구에서는 휴대용 모바일 장치에서 사용자의 컨텍스트 인식과 자원의 공유를 위하여 P2P 방식을 적용한 지능형 P2P 모바일 에이전트를 제안한다. 제안하는 구조는 사용자 주변의 센서와 서비스 자원을 공유함으로써 특정 자원에 대한 독점성을 제거하고, 효과적인 사용자 컨텍스트 인식 및 서비스 지원을 목적으로 한다.

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Dynamical modeling and system identification for active control of thermo-acoustic instabilities: survey (열-음향학적 불안정 현상의 능동제어를 위한 동역학적 모델링 및 시스템 식별기법 현황)

  • Na, Seon-Hwa;Ko, Sang-Ho
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2010.05a
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    • pp.279-287
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    • 2010
  • This paper surveys the recent research activities regarding dynamical modeling of high amplitude - high frequency thermo-acoustic instabilities occurring in gas-turbine engines, rockets, and etc, which are fundamental to actively control of such phenomena. For this, we introduces the reduced-order system modeling approaches, conducted after 1990s. Particularly, we deal with the grey-box approach, which determines the structure of the model based on physical rules and uses system's input-output data for estimating parameters of the model, and the black-box approach, which uses model structure without physics-based interpretation. At the end of the paper, we briefly discuss future directions and feasibilities of the research in this field.

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Design and implementation of the honeycomb structure visualization system for the effective security situational awareness of large-scale networks (대규모 네트워크의 효과적 보안상황 인지를 위한 벌집 구조 시각화 시스템의 설계 및 구현)

  • Park, Jae-Beom;Kim, Huy-Kang;Kim, Eun-Jin
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.24 no.6
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    • pp.1197-1213
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    • 2014
  • Due to the increase in size of the computer network, the network security systems such as a firewall, IDS, IPS generate much more vast amount of information related to network security. So detecting signs of hidden security threats has become more difficult. Security personnels' 'Network Security Situational Awareness(NSSA)' is effectively determining the security situation of overall computer network on the basis of the relation between the security events that occur in the several views. The process of situational awareness is divided into three stages of the 'identification,' 'understanding' and 'prediction'. And 'identification' and 'understanding' are prerequisites for 'predicting' and the following appropriate responses. But 'identification' and 'understanding' in the vast amount of information became more difficult. In this paper, we propose Honeycomb security situational awareness visualization system that is designed to help NSSA in large-scale networks by using visualization techniques known effective to the 'identification' and 'understanding' stages. And we identified the empirical effects of this system on the basis of the 'VAST Challenge 2012' data.

Automated Signature Sharing to Enhance the Coverage of Zero-day Attacks (제로데이 공격 대응력 향상을 위한 시그니처 자동 공유 방안)

  • Kim, Sung-Ki;Jang, Jong-Soo;Min, Byoung-Joon
    • Journal of KIISE:Information Networking
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    • v.37 no.4
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    • pp.255-262
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    • 2010
  • Recently, automated signature generation systems(ASGSs) have been developed in order to cope with zero-day attacks with malicious codes exploiting vulnerabilities which are not yet publically noticed. To enhance the usefulness of the signatures generated by (ASGSs) it is essential to identify signatures only with the high accuracy of intrusion detection among a number of generated signatures and to provide them to target security systems in a timely manner. This automated signature exchange, distribution, and update operations have to be performed in a secure and universal manner beyond the border of network administrations, and also should be able to eliminate the noise in a signature set which causes performance degradation of the security systems. In this paper, we present a system architecture to support the identification of high quality signatures and to share them among security systems through a scheme which can evaluate the detection accuracy of individual signatures, and also propose a set of algorithms dealing with exchanging, distributing and updating signatures. Though the experiment on a test-bed, we have confirmed that the high quality signatures are automatically saved at the level that the noise rate of a signature set is reduced. The system architecture and the algorithm proposed in the paper can be adopted to a automated signature sharing framework.

Stakeholder Analysis on Korea's Trade Negotiation (한국 통상협상 국내 이해관계자 분석)

  • Ko, Bo-Min
    • Korea Trade Review
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    • v.42 no.5
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    • pp.161-182
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    • 2017
  • This study is to conduct a stakeholder analysis using Project Stakeholder Management Model established by US Project Management Institute (or PMI) in order to identify current stakeholder related to Korea's trade policy and to establish the stakeholder management process for Korea's trade negotiation. Project Stakeholder Management Model includes four stages such as identifying, planning, managing, and controling stakeholder. The stakeholder management process for Korea's trade negotiation classifies domestic stakeholder into two category; internal stakeholder and external stakeholder. This research suggests that Korea should invite consumer groups, labor unions, and farmer's association into the official communication channel of trade authority while unifying the current stakeholder management divisions and relevant advisory committees within the trade ministry.

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Time Domain based Structural System Identification using Shaking Table Test (진동대 실험을 통한 시간영역에 기반한 시스템 식별)

  • 이상현;민경원;강경수;이명규
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2004.10a
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    • pp.331-338
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    • 2004
  • In this paper, stiffness and damping matrices are experimentally constructed using structural modal information on frequencies, damping ratios and modal vectors, which are obtained by shaking table tests. The acceleration of the shaking table is used as the input signal, and the resulting acceleration of each floor is measured as output signal. The characteristic and limitation of modal information from shaking table test are obtained by Common Based-normalized System Identification(CBSI) technique which is based on time domain information.

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An Identifying Method of XML Document based on Bitmap Indexing using Path Construction Similarity (경로 구성 유사도를 이용한 비트맵 인덱싱 기반 XML 문서 인식 기법)

  • Lee, Jae-Min;Hwang, Byung-Yeon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2003.05c
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    • pp.1515-1518
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    • 2003
  • XML의 대표적인 특징은 기존의 다른 컨텐츠와는 달리 문서의 구조를 기술할 수 있다는 것이다. 구조적 정보는 활용 방법에 파라 XML문서의 다양한 처리에 있어 성능을 향상시키는 핵심적인 요소가 될 수 있다. 그러나 XML 태그의 자기 서술적인 특성에서 비롯되는 구조적 표현의 차이는 오히려 문서의 식별을 어렵게 하는 원인이 된다. 본 논문에서는 기존의 비트맵 인덱스(Bitmap Index)를 이용한 XML 문서 검색 시스템이 다양한 구조적 유사성을 판별할 수 없는 단점을 보완 가능하도록 경로 중심의 유사 문서 인식 기법을 제안한다. 이 기법은 '경로 구성 유사도'와 '유사 경로 테이블'을 통해 기존의 비트맵 인덱스가 갖는 유사 경로를 인식하지 못하는 단점을 해결하고 검색의 유연성을 부여함으로써 보다 양질의 검색 결과를 도출할 수 있다. 또 이것은 기존 시스템의 Bit-wise 연산에 완전히 이식됨으로써 비트맵 인덱스의 장점인 빠른 성능을 그대로 유지할 수 있게 된다.

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Advanced Railway Vehicle Technology using Smart Materials (지능재료를 이용한 차세대 철도차량기술)

  • 김재환;강부병;김형진;정홍채;최성규
    • Proceedings of the KSR Conference
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    • 2003.05a
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    • pp.712-717
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    • 2003
  • 지능 재료를 이용한 디바이스는 자연계에 존재하는 생명체와 같이 내.외부 환경 변화에 대응하여 스스로 변하는 능동적 기능을 갖고 있기 때문에 시스템 성능의 극대화 및 유지비용의 최소화를 가져오게 된다. 이러한 지능재료 기술은 지난 10여년 전부터 연구되었는데 대표적인 웅용을 보면, 산업, 항공, 교통, 운송 분야의 능동 소음 및 반능동 진동제어; 복합 재료 손상위치 탐지시스템, 손상구조 건전성 평가시스템, 교량, 저장탱크, 건물, 유조선, 대형 구조물의 건전성 평가 시스템; 초정밀 직진 안내기구, 나노 스테이지, 절삭오차 보정용 엑츄에이터, 초음파 회전모터, 지능유압 서보밸브, 변형 거울 등의 모터/엑츄에이터; 자동차 엔진 성능제어, 흡배기구 압력측정, 가속도 센서, 자이로센서, 에어백 센서, 타이어 센서 등의 지능 MEMS/NEMS 센서; electronic article 정찰, 도서태그, 비접촉 항공 운송물 분류 및 보안시스템, 전자 운전자 식별시스템, 광섬유 건물 보안 시스템, 지능 신경망 형상 인식 시스템 등의 보안 시스템; 지능항공기 구조물, 인공위성안테나, 헬리콥터 회전익 등의 형상제어가 있다. 본 논문에서는 지능재료 기술을 정리하고 차세대 철도차량 기술에 지금까지 적용한 예를 소개하며 향후 적용할 수 있는 분야들을 가능성 및 실용성 면에서 소개하고자 한다.

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Effect of Rule Identification in Acquiring Rules from Web Pages (웹 페이지의 내재 규칙 습득 과정에서 규칙식별 역할에 대한 효과 분석)

  • Kang, Ju-Young;Lee, Jae-Kyu;Park, Sang-Un
    • Journal of Intelligence and Information Systems
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    • v.11 no.1
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    • pp.123-151
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    • 2005
  • In the world of Web pages, there are oceans of documents in natural language texts and tables. To extract rules from Web pages and maintain consistency between them, we have developed the framework of XRML(extensible Rule Markup Language). XRML allows the identification of rules on Web pages and generates the identified rules automatically. For this purpose, we have designed the Rule Identification Markup Language (RIML) that is similar to the formal Rule Structure Markup Language (RSML), both as pares of XRML. RIML is designed to identify rules not only from texts, but also from tables on Web pages, and to transform to the formal rules in RSは syntax automatically. While designing RIML, we considered the features of sharing variables and values, omitted terms, and synonyms. Using these features, rules can be identified or changed once, automatically generating their corresponding RSML rules. We have conducted an experiment to evaluate the effect of the RIML approach with real world Web pages of Amazon.com, BamesandNoble.com, and Powells.com We found that $97.7\%$ of the rules can be detected on the Web pages, and the completeness of generated rule components is $88.5\%$. This is good proof that XRML can facilitate the extraction and maintenance of rules from Web pages while building expert systems in the Semantic Web environment.

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