• 제목/요약/키워드: effective component

검색결과 1,805건 처리시간 0.027초

결핵의 면역요법 (Immunotherapy of Tuberculosis)

  • 권동원
    • Tuberculosis and Respiratory Diseases
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    • 제39권3호
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    • pp.209-218
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    • 1992
  • Despite the availability of drugs effective in producing a bacteriological cure, tuberculosis presents continuing problems in its control, especially in the developing world. An effective immunotherapy to be used with chemotherapy is urgently required. Intradermal injection of a suspenison of killed Mycobacterium vaccae switches off the tissue-necrotizing component of the Koch phenomenon, and promotes cell-mediated responses to the common, putative protective, mycobacterial antigens. These properties led to the empolyment of the suspension in immunotherapy as an adjunct to chemotherapy in the treatment of both tuberculosis and leprosy. The evidence leading to these conclusions is reviewed.

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음성인식기 구현을 위한 SVM과 독립성분분석 기법의 적용 (Adoption of Support Vector Machine and Independent Component Analysis for Implementation of Speech Recognizer)

  • 박정원;김평환;김창근;허강인
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2003년도 하계종합학술대회 논문집 Ⅳ
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    • pp.2164-2167
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    • 2003
  • In this paper we propose effective speech recognizer through recognition experiments for three feature parameters(PCA, ICA and MFCC) using SVM(Support Vector Machine) classifier In general, SVM is classification method which classify two class set by finding voluntary nonlinear boundary in vector space and possesses high classification performance under few training data number. In this paper we compare recognition result for each feature parameter and propose ICA feature as the most effective parameter

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SVM음성인식기 구현을 위한 강인한 특징 파라메터 (Robust Feature Parameter for Implementation of Speech Recognizer Using Support Vector Machines)

  • 김창근;박정원;허강인
    • 대한전자공학회논문지SP
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    • 제41권3호
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    • pp.195-200
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    • 2004
  • 본 논문은 두 가지 비교 실험을 통하여 효과적 음성인식 시스템을 제안한다. 분별적 이진 패턴 분류기인 SVM(Support Vector Machines)은 특징 공간에서 비선형 경계를 찾아 분류하는 방법으로 적은 학습 데이터에서도 좋은 분류 성능을 나타낸다고 알려져 있다. 본 논문에서는 학습데이터 수에 따른 HMM(Hidden Markov Model)과 SVM의 인식 성능을 비교하고, 최적의 특징 파라메터를 선택하기 위해 SVM을 이용하여 주성분해석과 독립성분분석을 적용하여 MFCC(Mel Frequency Cepstrum Coefficient)의 특징 공간을 변화시키면서 각각의 인식 성능을 비교 검토하였다. 실험 결과 SVM은 HMM에 비해 적은 학습데이터에서도 높은 인식 성능을 보여주었고, 독립성분분석에 의한 특징 파라메터가 특징 공간상에서의 높은 선형 분별성에 의해 다른 특징 파라메터보다 인식 성능에서 우수함을 확인 할 수 있었다.

Chemical Characteristics and Ethanol Fermentation of the Cellulose Component in Autohydrolyzed Bagasse

  • Asada Chikako;Nakamura Yoshitoshi;Kobayashi Fumihisa
    • Biotechnology and Bioprocess Engineering:BBE
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    • 제10권4호
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    • pp.346-352
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    • 2005
  • The chemical characteristics, enzymatic saccharification, and ethanol fermentation of autohydrolyzed lignocellulosic material that was exposed to steam explosion were investigated using bagasse as the sample. The effects of the steam explosion on the change in pH, organic acids production, degrees of polymerization and crystallinity of the cellulose component, and the amount of extractive components in the autohydrolyzated bagasse were examined. The steam explosion decreased the degree of polymerzation up to about 700 but increased the degree of crystallinity and the micelle width of the cellulose component in the bagasse. The steam explosion, at a pressure of 2.55 MPa for 3 mins, was the most effective for the delignification of bagasse. 40 g/L of glucose and 20 g/L of xylose were produced from 100 g/L of the autohydrolyzed bagasse by the enzymatic saccharification using mixed cellulases, acucelase and meicelase. The maximum ethanol concentration, 20 g/L, was obtained from the enzymatic hydrolyzate of 100 g/L of the autohydrolyzed bagasse by the ethanol fermentation using Pichia stipitis CBS 5773; the ethanol yield from sugars was 0.33 g/g sugars.

컴포넌트 복잡도, 특화성 및 재사용성 측정을 위한 메트릭 (Software Component Metris for Complexity, Customizability, and Reusability)

  • 이숙희;조은숙
    • 인터넷정보학회논문지
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    • 제3권4호
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    • pp.71-82
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    • 2002
  • 최근 컴포넌트에 기초한 소프트웨의 발전은 효과적인 새로운 소프트웨어의 발전 시류로서 받아들여지고 있다 1990년대 후반에 컴포넌트에 기초한 소프트웨어 공학(CBSD)의 도입이래 CBSD의 연구는 주로 컴포넌트의 모델링과 방법론, 구조및 컴포넌트 플랫폼에 초점이 맞춰져 왔으나, 시장에서 필요한 컴포넌트의 수가 증가함에 따라 다양한 특성의 컴포넌트를 명시하기 위한 측정기준을 제시하는 것이 더욱 중요해졌다. 이 논문에서는 소프트웨어 컴포넌트의 복잡성. 특화성, 재사용성 등을 측정하는 기준을 제시할 것이다. 복잡성 기준(metrics)은 다양한 컴포넌트들을 비교하고 측정하는데 사용될 수 있을 것이며 특화성 기준을 컴포넌트들이 조직의 특별한 요구조건을 얼마나 효율적이고 광범위하게 맞출 수 있느냐를 측정하는데 이용되어진다. 재사용성은 애플리케이션 개발에 재사용학 수 있는 정도를 측정하는데 사용될 수 있다.

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A DVR Control for Compensating Unbalanced Voltage Dips of a DFIG System using Zero Sequence Components

  • Thinh, Quach Ngoc;Ko, Ji-Han;Kim, Dong-Wan;Kim, Eel-Hwan
    • 조명전기설비학회논문지
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    • 제27권2호
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    • pp.62-68
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    • 2013
  • The dynamic voltage restorer (DVR) is an effective protection device for wind turbine generators based on doubly-fed induction generator (DFIG) that is operated under unbalanced voltage dip conditions. The compensating voltages of the DVR depend on the voltage dips and on the influence of the zero sequence component. The zero sequence component results in high insulation costs and asymmetry in terminal voltages. This paper proposes the use of a proportional-resonant controller in stationary reference frames for controlling zero sequence components in the DVR to protect the DFIG during unbalanced voltage dips. To enhance the proposed control method, a comparison is carried out between two cases: with and without using the control of a zero sequence component. Simulation results are presented to verify the effectiveness of the proposed control method by using the Psim simulation program.

An efficient metaheuristic for multi-level reliability optimization problem in electronic systems of the ship

  • Jang, Kil-Woong;Kim, Jae-Hwan
    • Journal of Advanced Marine Engineering and Technology
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    • 제38권8호
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    • pp.1004-1009
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    • 2014
  • The redundancy allocation problem has usually considered only the component redundancy at the lowest-level for the enhancement of system reliability. A system can be functionally decomposed into system, module, and component levels. Modular redundancy can be more effective than component redundancy at the lowest-level because in modular systems, duplicating a module composed of several components can be easier, and requires less time and skill. We consider a multi-level redundancy allocation problem in which all cases of redundancy for system, module, and component levels are considered. A tabu search of memory-based mechanisms that balances intensification with diversification via the short-term and long-term memory is proposed for its solution. To the best of our knowledge, this is the first attempt to use a tabu search for this problem. Our tabu search algorithm is compared with the previous genetic algorithm for the problem on the new composed test problems as well as the benchmark problems from the literature. Computational results show that the proposed method outstandingly outperforms the genetic algorithm for almost all test problems.

과민성 장 증후군의 증상 경감을 위한 비약물적 접근 고찰 (Non Pharmacological Approaches in the Irritable Bowel Syndrome)

  • 최명애;김금순;안경주;채영란;최정안;홍해숙;박미정;이경숙;신기수;정재심
    • Journal of Korean Biological Nursing Science
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    • 제7권2호
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    • pp.49-57
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    • 2005
  • There have been many trials of clinical efficacy of multi component and single component treatments for irritable bowel syndrome(IBS). We reviewed effects of non phamacological treatments in the IBS. Though the efficacy of multi-component approaches was unclear, several results suggest that cognitive behavioral therapy was effective in improving gastrointestinal symptoms of IBS. As a single component, cognitive therapy and relaxation with or without biofeedback could improve the symptoms and psychological health of IBS patients. Yoga, meditation, self-help information and hypnotherapy could be applicable to IBS.

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이메일 관리를 위한 룰 필터링 컴포넌트 기반 능동형 추천 에이전트 시스템 (A Dynamic Recommendation Agent System for E-Mail Management based on Rule Filtering Component)

  • 정옥란;조동섭
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2004년도 심포지엄 논문집 정보 및 제어부문
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    • pp.126-128
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    • 2004
  • As e-mail is becoming increasingly important in every day life activity, mail users spend more and more time organizing and classifying the e-mails they receive into folder. Many existing recommendation systems or text classification are mostly focused on recommending the products for the commercial purposes or web documents. So this study aims to apply these application to e-mail more necessary to users. This paper suggests a dynamic recommendation agent system based on Rule Filtering Component recommending the relevant category to enable users directly to manage the optimum classification when a new e-mail is received as the effective method for E-Mail Management. Moreover we try to improve the accuracy as eliminating the limits of misclassification that can be key in classifying e-mails by category. While the existing Bayesian Learning Algorithm mostly uses the fixed threshold, we prove to improve the satisfaction of users as increasing the accuracy by changing the fixed threshold to the dynamic threshold. We designed main modules by rule filtering component for enhanced scalability and reusability of our system.

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Enterprise JavaBeans (EJB)에서 효율적인 CBD 컴포넌트 설계 기법 (An Effective Method to Design CBD Components in Enterprise JavaBeans (EJB))

  • 김수동;민현기;이진열;김성안
    • 한국정보과학회논문지:소프트웨어및응용
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    • 제33권1호
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    • pp.32-43
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    • 2006
  • Enterprise JavaBeans (EJB)는 컴포넌트 기반 소프트웨어 개발 (Component-based Development, CBD)을 위해 보급된 환경이다. 컴포넌트는 재사용 단위의 복합 객체이지만, EJB는 객체단위의 작은 컴포넌트이므로 다수의 엔터프라이즈 빈을 복합하여 큰 단위 재사용을 지원해야 한다. 따라서 EJB를 이용하여 컴포넌트를 상세 설계 및 구현하기 위한 구체적이고 실용적인 기법이 필요하다. 본 논문에서는 CBD의 구성요소를 EJB를 이용하여 어떻게 설계하는지의 지침과 기법을 제시한다. 단일, 복합, 화이트, 블랙 박스, 다중 인터페이스, 가변성을 지원하는 EJB 환경의 컴포넌트 설계 및 구현 기법을 제시한다. 사례 연구를 이용하여 제시한 설계 기법을 보이고, CBD 컴포넌트의 특징과 본 논문의 기법을 비교하여 검증한다. 결론적으로 EJB 환경에서 컴포넌트의 재사용성, 활용성, 이식성을 더욱 증가 시킬 것이다.