• 제목/요약/키워드: Complex Function Theory

검색결과 158건 처리시간 0.027초

최소절단집합을 이용한 설비의 구조적 중요도 계산법 (Evaluation of Structural Importance Based on Minimal Cut Set Theory)

  • 김동진;김형철;김진오
    • 전기학회논문지P
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    • 제58권1호
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    • pp.27-32
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    • 2009
  • A technical system generally comprise a number of subsystems and components that are interconnected in such a way that the system is able to perform a set of required function. Because of the complex system structure with serial, parallel and bridged connections, some certain subsystems or components are more critical than the others. The main concern of a reliability engineer is to identify potential failures and to prevent these failures from occurring. In order to prevent fatal failures, proper inspections and maintenance actions for each component are required Considering above objectives of reliability engineers and characteristics of a practical system, several practical method for evaluating system and component reliabilities have developed namely Birnbaum's and Fussell & Vesely's measures. However there are several critical weaknesses in traditional calculation process as the target system gets larger. In this paper, a new technique for calculating component's structural importance is proposed and compared to Birnbaum's with representative system examples (serial, parallel. k out of n, and bridge type).

비선형 효용함수 기반의 다중경매 모형 : 시장 최적화를 위한 유전자 알고리즘 접근법 (A Double Auction Model based on Nonlinear Utility Functions : Genetic Algorithms Approach for Market Optimization)

  • 최진호;안현철
    • 한국경영과학회지
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    • 제33권1호
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    • pp.19-33
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    • 2008
  • In the previous double auction research for the market optimization, two basic assumptions are usually applied - (1) each trader has a linear or quasi-linear utility function of price and quantity, and (2) buyers as well as sellers have identical utility functions. However, in practice, each buyer and seller in a double auction market may have diverse utility functions for trading goods. Therefore, a flexible and integrated double auction mechanism that can integrate all traders' diverse utility functions is necessary. In particular, the flexible mechanism is more useful in a synchronous double auction because traders can properly change utilities in each round. Therefore, in this paper, we propose a flexible synchronous double auction mechanism in which traders can express diverse utility functions for the price and quantity of the goods, and optimal total market utility is guaranteed. In order to optimize the total market utility which consists of multiple complex utility functions of traders. We show the viability of the proposed mechanism through a several simulation experiments.

Determinants of Business Process Outsourcing in Human Resource Function

  • Kim, Gyeung-Min;Won, Hyun Jung
    • Journal of Information Technology Applications and Management
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    • 제15권3호
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    • pp.111-125
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    • 2008
  • The management of organizational Human Resource is steadily shifting away from pure hierarchical to market mechanisms that involve external vendors. HR Business Process Outsourcing (BPO) has recently emerged as a significant administrative innovation in an organization's strategy. Our paper attempts to understand firm-specific factors influencing the scope of HR BPO needs. Study results show that IT maturity and firm size are influential factors on the scope of HR BPO needs. We hope that our attempt at empirically examining and predicting this emergent phenomenon will stimulate others to look at this important strategic challenge facing firms from a theoretical perspective. Such research initiatives will allow us not only to better understand this complex phenomenon, but also to drive useful management prescriptions grounded on theory-based research.

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Anticancer Properties of Psidium guajava - a Mini-Review

  • Correa, Mariana Goncalves;Couto, Jessica Soldani;Teodoro, Anderson Junger
    • Asian Pacific Journal of Cancer Prevention
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    • 제17권9호
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    • pp.4199-4204
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    • 2016
  • Cancer is a complex disease caused by a progressive accumulation of multiple genetic mutations. Consumption of fruits is associated with lower risk of several cancers, which is mainly associated to their phytochemical content. The use of functional foods and chemopreventive compounds seems to contribute in this process, acting by mechanisms of antioxidant, anti-inflammatory, anti-angiogenic and hormonal. The Psidium Guajava has high potential functional related to pigments who are involved in the process of cancer prevention by having antioxidant activity. The aim of the present review is to expose some chemical compounds from P. Guajava fractions and their association with anti-carcinogenic function. The evidences supports the theory of anticancer properties of P. Guajava, although the mechanisms are still not fully elucidated, but may include scavenging free radicals, regulation of gene expression, modulation of cellular signalling pathways including those involved in DNA damage repair, cell proliferation and apoptosis.

시스템의 개발 및 초기생산 단계에서의 신뢰성 성장관리 (Reliability Growth Management in the Development and Initial Production of a System)

  • Jung Won;Lee Hwan-Tae
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2005년도 춘계학술대회 논문집
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    • pp.187-192
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    • 2005
  • Under development program for a complex system, the total system or major subsystems are tested to failure, system failure modes are analyzed, and design and engineering changes are made to eliminate these failure modes. If this TAAF(test-analyze-and-fix) process is continued, and modifications are made in a competent manner, then the system reliability increase. This paper presents the reliability growth theory and applies it to some subsystems during their development and initial production testing. The application of these techniques is a part of the product assurance function that plays an important role in product reliability improvement. In addition, the EN 50126 requires essentially reliability growth for RAM growth monitoring.

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LMI based criterion for reinforced concrete frame structures

  • Chen, Tim;Kau, Dar;Tai, Y.;Chen, C.Y.J.
    • Advances in concrete construction
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    • 제9권4호
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    • pp.407-412
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    • 2020
  • Due to the influence of nonlinearity and time-variation, it is difficult to establish an accurate model of concrete frame structures that adopt active controllers. Fuzzy theory is a relatively appropriate method but susceptible to human subjective experience to decrease the performance. To guarantee the stability of multi-time delays complex system with multi-interconnections, a delay-dependent criterion of evolved design is proposed in this paper. Based on this criterion, the sector nonlinearity which converts the nonlinear model to multiple rule base of the linear model and a new sufficient condition to guarantee the asymptotic stability via Lyapunov function is implemented in terms of linear matrix inequalities (LMI). A numerical simulation for a three-layer reinforced concrete frame structure subjected to earthquakes is demonstrated that the proposed criterion is feasible for practical applications.

불확실 비선형 시스템을 위한 강인한 퍼지 모델 기반 제어기 (Design Robust Fuzzy Model-Based Controller for Uncertain Nonlinear Systems)

  • 주영훈;장욱;박진배
    • 대한전기학회논문지:시스템및제어부문D
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    • 제49권8호
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    • pp.407-414
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    • 2000
  • This paper addresses the analysis and design of fuzzy control systems for a class of complex uncertain single-input single-output nonlinear systems. The proposed method represents the nonlinear system using a Takagi-Cugeno fuzzy model and construct a global fuzzy logic controller by blending all local state feedback controllers with a sliding mode controller. Unlike the commonly used parallel distributed compensation technique, we can design a global stable fuzzy controller without finding a common Lyapunov function for all local control systems, and can obtain good tracking performance by using sliding mode control theory. Furthermore, stability analysis is carried out not for the fuzzy model but for the real nonlinear system with uncertainties. Duffing forced oscillation sysmte is used as an example to show the effectiveness and feasibility of the proposed method.

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Electrical and transport properties of carbon chains encapsulated within CNT

  • KIM, Tae Hyung;KIM, Hu Sung;KIM, Yong-Hoon
    • EDISON SW 활용 경진대회 논문집
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    • 제6회(2017년)
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    • pp.457-462
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    • 2017
  • A linear carbon chain with pure sp hybridization has been intensively studied for the application of its intrinsic electrical properties to electronic devices. Owing to the high chemical reactivity derived from its unsaturated bond, encapsulation by carbon nanotubes (CNT) is provided as a promising method to stabilize the geometry of the linear carbon chain. Although the influence of CNT on the carbon chain has extensively been studied in terms of both electronic structure and geometries, the electron transport properties has not been discussed yet. In this regard, we provide the systematic atomic-scale analyses of the properties of the linear carbon chain within CNT based on a computational approach combining density-functional theory (DFT) and matrix green function (MGF) method. Based on the DFT calculations, the influence of CNT on electronic structures of the linear carbon chain is provided as well as its electrical origin. Via MGF calculations, we also identify the electron transport properties of the carbon chain - CNT complex.

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유전자 알고리즘을 사용한 퍼지-뉴럴네트워크 구조의 최적모델과 비선형공정시스템으로의 응용 (The Optimal Model of Fuzzy-Neural Network Structure using Genetic Algorithm and Its Application to Nonlinear Process System)

  • 최재호;오성권;안태천;황형수
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1996년도 추계학술대회 학술발표 논문집
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    • pp.302-305
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    • 1996
  • In this paper, an optimal identification method using fuzzy-neural networks is proposed for modeling of nonlinear complex systems. The proposed fuzzy-neural modeling implements system structure and parameter identification using the intelligent schemes together with optimization theory, linguistic fuzzy implication rules, and neural networks(NNs) from input and output data of processes. Inference type for this fuzzy-neural modeling is presented as simplified inference. To obtain optimal model, the learning rates and momentum coefficients of fuzz-neural networks(FNNs) and parameters of membership function are tuned using genetic algorithm(GAs). For the purpose of its application to nonlinear processes, data for route choice of traffic problems and those for activated sludge process of sewage treatment system are used for the purpose of evaluating the performance of the proposed fuzzy-neural network modeling. The show that the proposed method can produce the intelligence model w th higher accuracy than other works achieved previously.

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On Convergence and Parameter Selection of an Improved Particle Swarm Optimization

  • Chen, Xin;Li, Yangmin
    • International Journal of Control, Automation, and Systems
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    • 제6권4호
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    • pp.559-570
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    • 2008
  • This paper proposes an improved particle swarm optimization named PSO with Controllable Random Exploration Velocity (PSO-CREV) behaving an additional exploration behavior. Different from other improvements on PSO, the updating principle of PSO-CREV is constructed in terms of stochastic approximation diagram. Hence a stochastic velocity independent on cognitive and social components of PSO can be added to the updating principle, so that particles have strong exploration ability than those of conventional PSO. The conditions and main behaviors of PSO-CREV are described. Two properties in terms of "divergence before convergence" and "controllable exploration behavior" are presented, which promote the performance of PSO-CREV. An experimental method based on a complex test function is proposed by which the proper parameters of PSO-CREV used in practice are figured out, which guarantees the high exploration ability, as well as the convergence rate is concerned. The benchmarks and applications on FCRNN training verify the improvements brought by PSO-CREV.