• Title/Summary/Keyword: adaptation mechanism

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The Study on the Effective Prevention Mechanism of Masquerade Attacks on Wireless Ad hoc Network (무선 Ad hoc 네트워크의 효율적인 위장 공격 방지 메커니즘에 관한 연구)

  • Hong, Soon-Jwa;Park, Hyun-Dong
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.16 no.6
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    • pp.135-149
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    • 2006
  • Securing wireless Ad hoc network including the secure mechanism design and implementation is generally more difficult for vulnerability of channels and nodes, the absence of infrastructure, topology that change dynamically, and etc, than ire network. The efforts of early researches are based on the adaptation of securing methods for the wire network to wireless ad hoc network. However, wireless ad hoc network could not get effective study finding because network has essential problems. This paper proposes that some new problems are being came to light over the survivability and availability of the network itself, that are caused by the massive packet attack of more than one or two nodes, and proves the consequence of this phenomenon. Also, we propose an effective prevention mechanism of masquerade attacks for survivability reinforcement that escape standard of the early way by survivability of wireless Ad hoc network and approaches for performance elevation and reflect special quality of wireless Ad hoc network.

Sensing Period Adaptation using the Cost Function in the Cognitive Radio Networks (인지 무선 네트워크에서 시스템 비용함수를 이용한 적응적 센싱주기)

  • Gao, Xiang;Park, Hyung-Kun
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.61 no.2
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    • pp.321-323
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    • 2012
  • Cognitive radio has been recently proposed to dynamically access unused-spectrum. Since the spectrum availability for opportunistic access is determined by spectrum sensing, sensing is identified as one of the most crucial issues of cognitive radio networks. The PHY-layer sensing, as a part of spectrum sensing in cognitive radio, concerns the sensing mechanism to determine channel to be sensed and to access. One of the important issues in the PHY-layer sensing control is to find an available sensing period and trade-off between spectrum sensing and data transmission. In this paper, we show the relationship between spectrum sensing and data transmission according to the sensing period. We analyze and propose the new scheme to evaluate optimal sensing period.

Determination of Nominal Moment of Strengthening Beam with Carbon Fiber Sheets Using Strength Method (강도설계법으로 산정된 탄소섬유시트 보강 철근콘크리트 보의 공칭 휨모멘트)

  • 조백순;정진환;김성도;박대효;이우철
    • Proceedings of the Korea Concrete Institute Conference
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    • 2002.10a
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    • pp.593-598
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    • 2002
  • Routinely, strength method for the determination of the nominal moment of reinforced concrete beam is assumed to also be suitable for strengthening beams with carbon fiber sheets since typically strengthening beams compromise 98% by volume of reinforced concrete. Flexural capacity of strengthening beam is absolutely dependent upon the type of reinforcement materials, amount of reinforcement, anchoring system, adhesion capacity between reinforcement material and concrete. Therefore, it might be incorrect to use strength method for analysis and design of strengthening beam without considering the differences in the load-deflection curves, mechanism of failure, state of stress distribution, failure strain of the reinforcement. An flexural analysis based on force equilibrium and strain comparability has been developed for strengthening beam. Systematic experimental investigations are compared with analytical results. Then, the adaptation of strength method for strengthening beam have also been discussed.

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A New Approach to the Design of a Fuzzy Sliding Mode Controller for Uncertain Nonlinear Systems

  • Seo, Sam-Jun;Kim, Dong-Sik;Kim, Dong-Won;Yoo, Ji-Yoon;Park, Gwi-Tae
    • 제어로봇시스템학회:학술대회논문집
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    • 2004.08a
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    • pp.646-651
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    • 2004
  • This paper deals with a new adaptive fuzzy sliding mode controller and its application to an inverted pendulum. We propose new method of adaptive fuzzy sliding mode control scheme that the fuzzy logic system is used to approximate the unknown system functions in designing the SMC of uncertain nonlinear systems. The controller's construction and its analysis involve sliding modes. The proposed controller consists of two components. Sliding mode component is employed to eliminate the effects of disturbances, while a fuzzy model component equipped with an adaptation mechanism reduces modeling uncertainties by approximating model uncertainties. To demonstrate its performance, the proposed control algorithm is applied to an inverted pendulum. The results show that both alleviation of chattering and performance are achieved

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Study on DIDL parser and DIA Session Mobility Implementation (MPEG-21 DID 구성 툴과 DIA 세션 모빌리티 툴 개발에 대한 연구)

  • 김도년;박용철;장도임;김택수
    • Proceedings of the IEEK Conference
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    • 2003.07d
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    • pp.1483-1486
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    • 2003
  • This paper describes design and implementation of the DIDL(Digital Item Declaration Language) parser and Session mobility in Digital Item Adaptation. The DIDL is a declaration language which is a uniform and flexible abstraction and interoperable schema for declaring Digital Items. Session mobility specifies a mechanism to preserve a user's current state of interaction with a Digital Item. In this paper, Session mobility is implemented through the DIDL. For session mobility, the XDI (context digital item) shall capture the configuration-state of a Content digital item, shich is defined by the state of Selection elements in DIDL.

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Hemorheology and Cardiovascular Disease

  • Cho, Young-I.;Kensey, Kenneth R.
    • 순환기질환의공학회:학술대회논문집
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    • 2002.11a
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    • pp.3-18
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    • 2002
  • Hemorheology plays an important role in atherosclerosis. Hemorheologic properties of blood include whole blood viscosity, plasma viscosity, hemaocrit, RBC deformability and aggregation, and fibrinogen concentration in plasma. Blood flow is determine by three parameters (pressure, lumen diameter, and whole blood viscosity), whole blood viscosity is one of the key physiological variables. However, the significance of whole blood viscosity has not yet not been fully appreciated. Whole blood viscosity has a unique property, non-Newtonian shear-thinning characteristics, which is primarily due to the presence of RBCs. Hence, RBC deformability and aggregation directly affect the magnitude of blood viscosity, and any factors or diseases affecting RBC characteristics influence blood viscosity. Therefore, on can see that whole blood viscosity is the causal mechanism by which traditional risk factors such as hypertension, hyperlipidemia, smoking, exercise, obesity, age, and gender are related to atherogenesis. In this regard, we included whole blood viscosity in the three key determinants of injurious pulsatile flow that results in mechanical injury and protective adaptation in the arterial system. Because whole blood viscosity is a potential predictor of cardiovascular diseases, it should be measured in routine cardiovascular profiles. Incorporating whole blood viscosity measurements into a standard clinical protocol could improve our ability to identify patients at risk for cardiovascular disease and its complications.

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Adaptive Fuzzy Sliding Mode Control for Uncertain Nonlinear Systems

  • Seo, Sam-Jun
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.11 no.1
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    • pp.12-18
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    • 2011
  • This paper deals with a new adaptive fuzzy sliding mode controller and its application to an inverted pendulum. We propose a new method of adaptive fuzzy sliding mode control scheme that the fuzzy logic system is used to approximate the unknown system functions in designing the SMC of uncertain nonlinear systems. The controller's construction and its analysis involve sliding modes. The proposed controller consists of two components. Sliding mode component is employed to eliminate the effects of disturbances, while a fuzzy model component equipped with an adaptation mechanism reduces modeling uncertainties by approximating model uncertainties. To demonstrate its performance, the proposed control algorithm is applied to an inverted pendulum. The results show that both alleviation of chattering and performance are achieved.

Evolvable Neural Networks for Time Series Prediction with Adaptive Learning Interval

  • Seo, Sang-Wook;Lee, Dong-Wook;Sim, Kwee-Bo
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.8 no.1
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    • pp.31-36
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    • 2008
  • This paper presents adaptive learning data of evolvable neural networks (ENNs) for time series prediction of nonlinear dynamic systems. ENNs are a special class of neural networks that adopt the concept of biological evolution as a mechanism of adaptation or learning. ENNs can adapt to an environment as well as changes in the enviromuent. ENNs used in this paper are L-system and DNA coding based ENNs. The ENNs adopt the evolution of simultaneous network architecture and weights using indirect encoding. In general just previous data are used for training the predictor that predicts future data. However the characteristics of data and appropriate size of learning data are usually unknown. Therefore we propose adaptive change of learning data size to predict the future data effectively. In order to verify the effectiveness of our scheme, we apply it to chaotic time series predictions of Mackey-Glass data.

A Compliance Control Method for Robot Manipulators Using Nonlinear Stiffness Adaptation (비선형 강성 조절 방법을 이용한 로봇 매니퓰레이터의 컴플라이언스 제어 방법)

  • Kim, Byoyng-Ho;Oh, Sang-Rok;Suh, Il-Hong;Yi, Byung-Ju
    • Journal of Institute of Control, Robotics and Systems
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    • v.6 no.8
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    • pp.703-709
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    • 2000
  • This paper proposes a compliance control strategy for the robot manipulators accidentally interact-ing with an unknown environment. In this proposed method each in the diagonal stiffness matrix corre-sponding to the task coordinate in a Cartesian space is adaptively adjusted during contact along the corresponding axis based on the contact force with its environment. This method can be used for both unconstrained and constrained motions without any switching mechanism which often causes undesirable instability and/or vibrational motion of the end-effector. The experimental results show the effectiveness of the proposed method by employing a two link direct drive manipulator interacting with an unknown environment.

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A Study on Course Correction Performance Expectation & Algorithm Implementation of 1D CCM (1D CCM 탄도수정 성능예측 및 알고리즘 구현 연구)

  • Kim, Ki-Pyo
    • Journal of the Korea Institute of Military Science and Technology
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    • v.10 no.1
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    • pp.5-13
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    • 2007
  • The trajectory of an current artillery munition is subject to a variety of different error sources resulting in more or less big deviation from the nominal predicted flight path. The 1D CCM(Course Correction Munition) has appeared to solve this problem and the mechanism of 1D CCM is a simple and low cost one using the influence of drag to range behavior of an artillery munition. In the paper 1D CCM concept has been simulated using wind tunnel experiment results of the specified Korean munition with CCF(Course Correction Fuze) and calculated the performance of its rang error reduction. From the simulated results it can be numerically explained that the possibility of adaptation of 1D CCM concept to Korean artillery munitions.