• 제목/요약/키워드: Auxiliary information

검색결과 524건 처리시간 0.027초

견실성능 최적화를 위한 혼합 H_2/H_{\infty}$ 제어기설계 알고리즘 (Mixed H_2/H_{\infty}$ controller design algorithm for robust performance optimization)

  • 김종해;방경호;박홍배
    • 전자공학회논문지B
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    • 제33B권5호
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    • pp.10-16
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    • 1996
  • In this paper, we consider a generalized mixed H_2/H_{\infty}$ output feedback problem. It is finding an internally stabilizing controller that minimizes a mixed $H_{2}$/ $H_{performance}$ measure. We show that a generalized mixed H_2/H_{\infty}$ system with two exogenous inputs and two controlled signals is transformed into auxiliary system with two exogenous inputs and one controlled signal. The two systems have equivalent performance. Therefore, a complete solution of generalized mixed H_2/H_{\infty}$ output feedback problem is achieved by existing results of mixed H_2/H_{\infty}$ control theory.

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Improved Charge Pump with Reduced Reverse Current

  • Gwak, Ki-Uk;Lee, Sang-Gug;Ryu, Seung-Tak
    • JSTS:Journal of Semiconductor Technology and Science
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    • 제12권3호
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    • pp.353-359
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    • 2012
  • A highly efficient charge pump that minimizes the reverse charge sharing current (in short, reverse current) is proposed. The charge pump employs auxiliary capacitors and diode-connected MOSFET along with an early clock to drive the charge transfer switches; this new method provides better isolation between stages. As a result, the amount of reverse current is reduced greatly and the clock driver can be designed with reduced transition slope. As a proof of the concept, a 1.1V-to-9.8 V charge pump was designed in a $0.35{\mu}m$ 18 V CMOS technology. The proposed architecture shows 1.6 V ~ 3.5 V higher output voltage compared with the previously reported architecture.

효과적인 수학 그래프 저작 시스템 (Effective Graph Drawing Tool for Mathematics Education)

  • 오영택;김용준;김명수
    • 한국HCI학회:학술대회논문집
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    • 한국HCI학회 2009년도 학술대회
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    • pp.422-427
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    • 2009
  • 본 논문에서는 수학 교육을 위한 실시간 그래프 저작 시스템을 제안한다. 사용자는 대략적인 스케치를 통해 의도하는 그래프를 쉽게 그릴 수 있으며 실제 수학 교육에서 필요한 부가적인 정보 역시 쉽게 포함시킬 수 있다. 이와 더불어, 본 논문에서는 복잡한 그래프를 쉽게 그리기 위해 이미 그려져 있는 그래프 중 현재 그리고 있는 그래프와 가장 유사한 그래프를 찾아서 후보로 제시하는 방법을 제안한다.

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Agent 기반의 센서 구조 설계 (Design Agent-Based Sensor Structure)

  • 임선종;송준엽;김동훈;이승우;이안성;박경택;김선호
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2004년도 추계학술대회 논문집
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    • pp.572-575
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    • 2004
  • Since the 1990s, the advancement of semiconductor technology has resulted in the development of microprocessor technology, auxiliary computer technology, and application technology such as intelligent algorithms (neural network, fuzzy, etc.). These based the development of intelligent machines. An agent is autonomous software that recognizes environment, exchanges knowledge with other agents and makes decisions. We designed agent-based sensor structure. For the purpose, first, it modeled the function of an intelligent machine. Second, it designed sensory function on the agent level.

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다의어 분별 정확률 개선을 위한 보조사의 통사격 결정 (Determining a Syntactic Case of Auxiliary Postposition for Improving Accuracy of Polysemy Word-Sense-Disambiguation)

  • 신준철;옥철영
    • 한국어정보학회:학술대회논문집
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    • 한국어정보학회 2016년도 제28회 한글및한국어정보처리학술대회
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    • pp.102-104
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    • 2016
  • 하위범주화는 술어와 보어간의 의존 관계를 정의하는 언어정보로서 다의어 태깅이나 이 외에 자연어처리의 다양한 곳에 이용될 수 있다. 그러나 하위범주화에서 다루는 필수논항은 격조사로 표현되어 실제로 한국어에서 자주 나타나는 보조사는 여기에 포함되지 않는다. 이런 문제 때문에 하위범주화네 나타난 격조사만을 그대로 이용하려고 하면 재현율에 큰 문제가 발생하게 된다. 본 논문에서는 문장에서 격조사 대신 보조사가 사용되었을 때 하위범주화의 필수논항으로 인정할 수 있는 방법을 제시하고, 특히 보조사에 적용할 경우에 생기는 이점을 실험으로 증명한다.

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인덕터 전류검출이 필요없는 불연속모드 인터리브드 PFC 부스트 컨버터의 연구 (Study of DCM Interleaved Boost PFC Converter without the Detection of the Inductor Current)

  • 나재두
    • 전기학회논문지P
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    • 제65권4호
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    • pp.303-308
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    • 2016
  • A light-emitting diode (LED) has been increasingly applied to various industrial fields and general lightings because of its high efficiency, low power consumption, environment-friendly characteristic and long lifetime. To drive this LED lighting, various types of power converters have been applied. Also, power factor correction (PFC) techniques play an important role in the power supply technology. In this paper, design and control of a DCM interleaved boost PFC converter is discussed. The proposed converter can reduce current ripples at input and output side by cancelling an each phase of inductor currents. Since the IC does not require the auxiliary winding of inductor for current detection, simple PFC circuit is achieved. Therefore, it contributes to increase efficiency and downsize the whole system volume, cost. Also, the performance of the proposed system is demonstrated through experiments.

분산처리 최적조류계산 기반 연계계통 급전계획 알고리즘 개발 (A New Dispatch Scheduling Algorithm Applicable to Interconnected Regional Systems with Distributed Inter-temporal Optimal Power Flow)

  • 정구형;강동주;김발호
    • 전기학회논문지
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    • 제56권10호
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    • pp.1721-1730
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    • 2007
  • SThis paper proposes a new dispatch scheduling algorithm in interconnected regional system operations. The dispatch scheduling formulated as mixed integer non-linear programming (MINLP) problem can efficiently be computed by generalized Benders decomposition (GBD) algorithm. GBD guarantees adequate computation speed and solution convergency since it decomposes a primal problem into a master problem and subproblems for simplicity. In addition, the inter-temporal optimal power flow (OPF) subproblem of the dispatch scheduling problem is comprised of various variables and constraints considering time-continuity and it makes the inter-temporal OPF complex due to increased dimensions of the optimization problem. In this paper, regional decomposition technique based on auxiliary problem principle (APP) algorithm is introduced to obtain efficient inter-temporal OPF solution through the parallel implementation. In addition, it can find the most economic dispatch schedule incorporating power transaction without private information open. Therefore, it can be expanded as an efficient dispatch scheduling model for interconnected system operation.

파워마스크를 이용한 영상 핑거프린트 정합 성능 개선 (Improving Image Fingerprint Matching Accuracy Based on a Power Mask)

  • 서진수
    • 한국멀티미디어학회논문지
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    • 제23권1호
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    • pp.8-14
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    • 2020
  • For a reliable fingerprinting system, improving fingerprint matching accuracy is crucial. In this paper, we try to improve a binary image fingerprint matching performance by utilizing auxiliary information, power mask, which is obtained while constructing fingerprint DB. The power mask is an expected robustness of each fingerprint bit. A caveat of the power mask is the increased storage cost of the fingerprint DB. This paper mitigates the problem by reducing the size of the power mask utilizing spatial correlation of an image. Experiments on a publicly-available image dataset confirmed that the power mask is effective in improving fingerprint matching accuracy.

벤치마크 태그를 이용한 도착시간 차 기반의 RFID 측위 알고리즘 (TDOA-Based Localization Algorithms for RFID Systems Using Benchmark Tags)

  • 주운기
    • 경영과학
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    • 제29권3호
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    • pp.1-11
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    • 2012
  • This paper considers a localization problem in time difference of arrival (TDOA)-based radio frequency identification (RFID) systems. To estimate the position of a target tag, this paper suggests three localization algorithms that use benchmark tags. The benchmark tags are the same type as the target tag, but either the locations or distance of the benchmark tags are known. Two algorithms use the benchmarks for auxiliary information to improve the estimation accuracy of the other localization algorithms such as least squared estimator (LSE). The other one utilizes the benchmarks as essential tags to estimate the location. Numerical tests show that the localization accuracy can be improved by using benchmark tags especially when an algorithm using the LSE is applied to the localization problem. Furthermore, this paper shows that our benchmark algorithm is valuable when the measurement noise is large.

A Survey of Transfer and Multitask Learning in Bioinformatics

  • Xu, Qian;Yang, Qiang
    • Journal of Computing Science and Engineering
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    • 제5권3호
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    • pp.257-268
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    • 2011
  • Machine learning and data mining have found many applications in biological domains, where we look to build predictive models based on labeled training data. However, in practice, high quality labeled data is scarce, and to label new data incurs high costs. Transfer and multitask learning offer an attractive alternative, by allowing useful knowledge to be extracted and transferred from data in auxiliary domains helps counter the lack of data problem in the target domain. In this article, we survey recent advances in transfer and multitask learning for bioinformatics applications. In particular, we survey several key bioinformatics application areas, including sequence classification, gene expression data analysis, biological network reconstruction and biomedical applications.