• 제목/요약/키워드: Convergence Property

검색결과 834건 처리시간 0.03초

장애인근로자의 직무스트레스와 직무만족에 관한 연구 (A Study on the Relationships between Job Stress and Job Satisfaction of Disabled Workers)

  • 윤광식;이상민
    • 디지털융복합연구
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    • 제6권3호
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    • pp.53-63
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    • 2008
  • This paper examined the relationship between job stressor and job satisfaction according to the general property of disabled workers. Role ambiguity, role conflict, and role overload were cast as the factors of job satisfaction to explore their relationship with the general property and type of disabled workers. The results revealed that role ambiguity had the strongest meaningful relationships with job satisfaction and role conflict, role overload had not shown the meaningful relationships with their Job satisfaction. The reason of this results seemed to be from the fact that the work type available or not available to disabled worker was determined beforehand according to their disability type. Finally, these findings provide a guidelines of efficiency human resource management and strategic development program for the disabled workers.

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ON THE LEBESGUE SPACE OF VECTOR MEASURES

  • Choi, Chang-Sun;Lee, Keun-Young
    • 대한수학회보
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    • 제48권4호
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    • pp.779-789
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    • 2011
  • In this paper we study the Banach space $L^1$(G) of real valued measurable functions which are integrable with respect to a vector measure G in the sense of D. R. Lewis. First, we investigate conditions for a scalarly integrable function f which guarantee $f{\in}L^1$(G). Next, we give a sufficient condition for a sequence to converge in $L^1$(G). Moreover, for two vector measures F and G with values in the same Banach space, when F can be written as the integral of a function $f{\in}L^1$(G), we show that certain properties of G are inherited to F; for instance, relative compactness or convexity of the range of vector measure. Finally, we give some examples of $L^1$(G) related to the approximation property.

FNN 성능개선을 위한 클러스터링기법의 적용 (Adaptation of Clustering Method to FNN for Performance Improvement)

  • 최재호;박춘성;오성권;안태천
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1997년도 추계학술대회 학술발표 논문집
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    • pp.135-138
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    • 1997
  • In this paper, we proposed effective modeling method to nonlinear complex system. Fuzzy Neural Network(FNN) was used as basic model. FNN was fused of Fuzzy Inference which has linguistic property and Neural Network which has learning ability and high tolerence level. This paper, we used FNN which was proposed by Yamakawa. The FNN used Simple Inference as fuzzy inference method and Error Back Propagation Algorithm as learning rule. This structure has better property than other structure at learning speed and convergence ability. But it has difficulty at definition of membership function. We used Hard c-Mean method to overcome this difficulty. To evaluate proposed method. We applied the proposed method to waste water treatment process. We obtained better performance than conventional model.

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Preliminary Study of Bioinformatics Patents and Their Classifications Registered in the KIPRIS Database

  • Park, Hyun-Seok
    • Genomics & Informatics
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    • 제10권4호
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    • pp.271-274
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    • 2012
  • Whereas a vast amount of new information on bioinformatics is made available to the public through patents, only a small set of patents are cited in academic papers. A detailed analysis of registered bioinformatics patents, using the existing patent search system, can provide valuable information links between science and technology. However, it is extremely difficult to select keywords to capture bioinformatics patents, reflecting the convergence of several underlying technologies. No single word or even several words are sufficient to identify such patents. The analysis of patent subclasses can provide valuable information. In this paper, I did a preliminary study of the current status of bioinformatics patents and their International Patent Classification (IPC) groups registered in the Korea Intellectual Property Rights Information Service (KIPRIS) database.

Bussgang계열의 적응 Blind 알고리듬들의 성능비교에 관한 연구 (A Study on Performance Comparison of Bussgang-type Adaptive Blind Algorithms)

  • 김형석;강현철;변윤식
    • 한국음향학회지
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    • 제14권5호
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    • pp.20-28
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    • 1995
  • 본 연구는 디지탈 통신을 위한 적응 등화기 중에서 훈련신호 없이 등화하는 적응 블라인드 알고리듬중 일반적으로 실시간 구현 가능한 Bussgang계열에 대하여 연구하였다. 채널은 실제 도시의 다중 환경에서 얻은 자료를 이용하였고, 등화기의 구조는 T/2 공간 선형 유한 임펄스 응답필터로 구성하였다. 컴퓨터 모의실험 결과 'Stop-and-Go', Benveniste-Goursat 알고리듬, 그리고 최적 Bussgang 알고리듬들이 가장 낮은 MSE 레벨을 나타내었고, CMA가 가장 빠른 수렴 성을 보임을 알수 있었다.

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Image Recognition by Learning Multi-Valued Logic Neural Network

  • Kim, Doo-Ywan;Chung, Hwan-Mook
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제2권3호
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    • pp.215-220
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    • 2002
  • This paper proposes a method to apply the Backpropagation(BP) algorithm of MVL(Multi-Valued Logic) Neural Network to pattern recognition. It extracts the property of an object density about an original pattern necessary for pattern processing and makes the property of the object density mapped to MVL. In addition, because it team the pattern by using multiple valued logic, it can reduce time f3r pattern and space fer memory to a minimum. There is, however, a demerit that existed MVL cannot adapt the change of circumstance. Through changing input into MVL function, not direct input of an existed Multiple pattern, and making it each variable loam by neural network after calculating each variable into liter function. Error has been reduced and convergence speed has become fast.

개미 군집 알고리즘을 이용한 배전계통 재구성 (Reconfiguration of Distribution System using ant colony algorithm)

  • 전영재;김재철;김낙경;최병수
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2001년도 하계학술대회 논문집 A
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    • pp.282-284
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    • 2001
  • This paper presents an efficient algorithm for the loss minimization in distribution systems. Ant colony algorithm is suitable for combinatorial optimization problem as network reconfiguration because it use the long term memory, called pheromone, and heuristic information with the property of the problem. The proposed methodology with some adoptions have been applied to improve the computation time and convergence property. Numerical examples demonstrate the validity and effectiveness of the proposed methodology using 32-bus system.

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[ $H_2/H_{\infty}$ ] FIR Filters for Discrete-time State Space Models

  • Lee Young-Sam;Han Soo-Hee;Kwon Wook-Hyun
    • International Journal of Control, Automation, and Systems
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    • 제4권5호
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    • pp.645-652
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    • 2006
  • In this paper a new type of filter, called the $H_2/H_{\infty}$ FIR filter, is proposed for discrete-time state space signal models. The proposed filter requires linearity, unbiased property, FIR structure, and independence of the initial state information in addition to the performance criteria in both $H_2$ and $H_{infty}$ sense. It is shown that $H_2,\;H_{\infty}$, and $H_2/H_{\infty}$ FIR filter design problems can be converted into convex programming problems via linear matrix inequalities (LMIs) with a linear equality constraint. Simulation studies illustrate that the proposed FIR filter is more robust against temporary uncertainties and has faster convergence than the conventional IIR filters.

이기종 P2P 시스템 간의 자료 교환을 위한 XML 메세징 시스템 설계 (Design of XML Messaging System for Data Exchange of Heterogeneous P2P System)

  • 정헌;박종원
    • 한국정보통신학회논문지
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    • 제18권9호
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    • pp.2147-2154
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    • 2014
  • JXTA는 중앙서버를 통한 관리가 필요 없으며, 네트워크에 연결되어 있다면 어떤 장치든 다른 장치들과의 통신이 가능한 특성이 있다. 이 특성을 이용하면 이기종 P2P 시스템들 간의 통신에 적용할 수 있다. 본 논문에서는 이러한 특성을 최대한 활용하여 서로 상이한 프로토콜과 API를 사용하여 만들어진 P2P 시스템 간의 상호연동이 가능한 데이터 교환 시스템을 설계하였다.

배전 계통의 손실 최소화를 위한 개미 군집 알고리즘의 적용 (Application of Ant colony Algorithm for Loss Minimization in Distribution Systems)

  • 전영재;김재철
    • 대한전기학회논문지:전력기술부문A
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    • 제50권4호
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    • pp.188-196
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    • 2001
  • This paper presents and efficient algorithm for the loss minimization by automatic sectionalizing switch operation in distribution systems. Ant colony algorithm is multi-agent system in which the behaviour of each single agent, called artificial ant, is inspired by the behaviour of real ants. Ant colony algorithm is suitable for combinatiorial optimization problem as network reconfiguration because it use the long term memory, called pheromone, and heuristic information with the property of the problem. The proposed methodology with some adoptions have been applied to improve the computation time and convergence property. Numerical examples demonstrate the validity and effectiveness of the proposed methodology using a KEPCO's distribution system.

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