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Design Automation Conference

作者： Ho Young Kim Tag Gon Kim Department of EECS Systems Modeling Simulation Laboratory Korea Advanced Institute of Science and Technology South Korea

ISBN: (纸本)1595930582

This paper proposes a rapid and accurate evaluation scheme for cycle counts of a pipelined processor using evaluation reuse technique. Since exploration of an optimal processor is a time-consuming task due to large design space, fast evaluation methodology for an architecture is crucial. We introduce the performance simulation model which can evaluate the performance without considering the functional correctness. This model has an FSM-like form and can afford to take all hazard types of pipelined architectures into consideration. The proposed approach is based on the property that an application program, especially multimedia application, has many iterative loops in general. This property invokes many iterative operations in the simulation. Evaluation reuse scheme can alleviate redundantly iterative operations of conventional simulators in the loop. A performance simulator for the pipeline architecture has been developed through which greater speedup has been made compared with other approaches in the evaluation of cycle counts.

关键词： Computational modeling Iterative methods Computer architecture Computer simulation Scheduling Pipelines Permission Laboratories Hazards Space exploration

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Rough rings revisited

Rough rings revisited

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International Conference on Machine Learning and Cybernetics, ICMLC 2005

作者： Han, Su-Qing Cheng, Wei Wang, Jue Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences Beijing 100080 China Department of Mathematics Taiyuan Teacher's College Taiyuan 030012 China College of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu 610054 China

ISBN: (纸本)078039092X

Rough groups and rough rings have been investigated by Biswas & Nanda [Bull. Polish Acad. Sci. Math. 42 (1994) 251-254], Kuroki and Wang [Inform. Sci. 90 (1996) 203-220] and Dawaz [Inform. Sci. 164 (2004) 147-163], But in which some conclusions do not always hold in general. In this paper, we have revisited rough rings in a uniform and complete form, some new properties of rough rings are obtained, and the modified versions of those conclusions that are improper in Davvaz [Inform. Sci. 164 (2004) 147-163] are modified. ©2005 IEEE.

关键词： Learning systems

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Different Ocular Dominance Map Formation Influenced by Orientation Preference Columns in Visual Cortices

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Physical Review Letters 2005年第6期94卷 068701-068701页

作者： Myoung Won Cho Seunghwan Kim Asia Pacific Center for Theoretical Physics and Nonlinear Complex Systems Laboratory--NRL Department of Physics Pohang University of Science and Technology Pohang Gyeongbuk 790-784 Kore

In animal experiments, the observed orientation preference and ocular dominance columns in the visual cortex of the brain show various pattern types. Here, we show that the different visual map formations in various species are due to the crossover behavior in anisotropic systems composed of orientational and scalar components such as easy-plane Heisenberg models. We predict the transition boundary between different pattern types with the anisotropy as a main bifurcation parameter, which is consistent with experimental observations.

关键词： Brain

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Double layer sliding mode control for second-order underactuated mechanical systems

Double layer sliding mode control for second-order underactu...

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2005 IEEE/RSJ International Conference on Intelligent Robots and systems

作者： Wei Wang Jianqiang Yi Dongbin Zhao Xiaojing Liu School of information science and technology Beijing Institute of Technology Beijing China Institute of Automation Laboratory of complex systems and intelligence science Chinese Academy and Sciences China

A new stable sliding mode control method for a class of underactuated mechanical systems is proposed in this paper. The controller has the double-layer structure. Firstly, the system states are divided into several different subsystems. For each of these subsystems, a first-layer sliding plane is constructed. From these first-layer sliding planes, then we further construct a second-layer sliding plane. By analyzing the features of the mathematical model of the underactuated mechanical systems, we derive the sliding-mode control law and indicate the ranges of the controller parameters. Using Lyapunov law, the paper proves the stability of all the sliding planes theoretically. The simulation results show the validity of this method for this class of underactuated mechanical systems.

关键词： Sliding mode control Mechanical systems Control systems Cranes Orbital robotics Robots Information science Intelligent systems Automation Automatic control

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Cascade sliding-mode controller for large-scale underactuated systems

Cascade sliding-mode controller for large-scale underactuate...

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2005 IEEE/RSJ International Conference on Intelligent Robots and systems

作者： Jianqiang Yi Wei Wang Dongbin Zhao Xiaojing Liu Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy and Sciences Beijing China School of Information Science and Technology Beijing Institute of Technology Beijing China

On the basis of sliding mode control, a new cascade sliding-mode controller (CSMC) for a class of large-scale underactuated systems is proposed. The large-scale underactuated systems include several subsystems. Firstly, two states are chosen to construct the first-layer sliding surface. Secondly, the first-layer sliding surface and one of the left states are used to construct the second-layer sliding surface. This process continues till the last-layer sliding surface is obtained. By theoretical analysis, the cascade sliding-mode controller is proved to be globally stable in the sense that all signals involved are bounded. The simulation results show the validity of this method.

关键词： Sliding mode control Control systems Large-scale systems Cranes Nonlinear control systems Actuators Orbital robotics Mechanical systems Fuzzy systems Fuzzy control

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Adaptive blind channel equalization based on constellation information of MPSK signal

Adaptive blind channel equalization based on constellation i...

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IEEE International Conference on Industrial technology (ICIT)

作者： Nong Gu Yong Xiang Min Tan Zhiqiang Cao School of Engineering and Technology Deakin University VIC Australia Laboratory of Complex Systems and Intelligence Science Institute of Automation CAS China

In this paper, we propose a new adaptive algorithm for the blind equalization of an FIR (finite impulse response) channel excited by an M-ary phase shift keying (MPSK) signal. Different from the conventional constant modulus algorithm (CMA), which exploits the amplitude information of the input signal, the proposed algorithm exploits the full constellation information of the input signal. Theoretical analysis shows that the new algorithm has less mean square error (MSE), namely better equalization performance, in steady state than the CMA. Numerical simulations show the effectiveness of the new algorithm

关键词： Adaptive equalizers Blind equalizers Constellation diagram Adaptive algorithm Finite impulse response filter Phase shift keying Performance analysis Algorithm design and analysis Mean square error methods Steady-state

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Event and time-scale characteristics of heart-rate dynamics

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Physical Review E 2005年第6期71卷 061917-061917页

作者： UnCheol Lee Seunghwan Kim S. H. Yi Asia Pacific Center for Theoretical Physics & Nonlinear Complex Systems Laboratory Department of Physics Pohang University of Science and Technology Pohang 790-784 Korea Department of Computer Aided Science Inje University Gimhae 621-749 Korea

The cardiac system shows various scale dynamic activities from secondly to yearly. Therefore multiple time-scale characteristics of heart dynamics have received much attention for understanding and distinguishing healthy and pathological cardiac systems. In this paper we expand the multiple time-scale analysis into event and time scales to investigate scale characteristics in healthy and pathologic cardiac systems. To do this, we define a measure based on symbolic dynamics, which calculates complexity at each time and event scale, called the unit time block entropy (UTBE). This measure allows a reliable comparison of experimental data through matching the number of words and the total measurement time at the same time for all RR interval sequences which are composed of the time durations between consecutive R waves of electrocardiograms. We apply the UTBE to the healthy heart-rate (HR) group and pathological HR groups and find that the RR interval acceleration is more effective than the RR interval in distinguishing each group. And we also find that the normal and pathological HR groups are clearly distinguished in some specific event and time-scale regions.

关键词： Cardiology

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Rough rings revisited

Rough rings revisited

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Su-Qing Han Wei Cheng Jue Wang Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy and Sciences Beijing China College of Computer Science and Engineering University of Electronic Science and Technology Chengdu China

Rough groups and rough rings have been investigated by Biswas & Nanda [Bull. Polish Acad. Sci. Math. 42 (1994) 251-254], Kuroki and Wang [Inform. Sci. 90 (1996) 203-220] and Davvaz [Inform. Sci. 164 (2004) 147-163], but in which some conclusions do not always hold in general. In this paper, we have revisited rough rings in a uniform and complete form, some new properties of rough rings are obtained, and the modified versions of those conclusions that are improper in Davvaz [Inform. Sci. 164 (2004) 147-163] are modified.

关键词： Educational institutions Rough sets Laboratories Intelligent systems Automation Mathematics Computer science Machine learning Cybernetics

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Bona fide stochastic resonance and multimodality in the stochastic Hodgkin-Huxley neuron

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Physical Review E 2005年第6期72卷 061906-061906页

作者： Sang-Gui Lee Seunghwan Kim AsiaPacific Center for Theoretical Physics National Core Research Center on System BioDynamics and Nonlinear and Complex Systems Laboratory Department of Physics Pohang University of Science and Technology San 31 Hyojadong Pohang Korea 790-784

The phenomena of stochastic resonance (SR) has attracted much attention in the studies of the excitable systems, in particular, the nervous systems under noise. Recently, an alternative SR condition, called the bona fide SR, was proposed for the bistable system under noise, based on the notion of the residence time distribution. As the forcing frequency increases, there exists an optimal resonant frequency. We study the SR in a stochastic Hodgkin-Huxley neuron, which has an inherent natural frequency in addition to the stochastic time scale. We have observed two resonant conditions; one between periodic forcing and natural frequencies, and the other between the periodic forcing and the stochastic frequencies. These resonance conditions show the bona fide stochastic resonance with multimodality. For comparison, we have studied the bona fide SR in the stochastic FitzHugh-Nagumo neuron, where, the multimodality is not observed. The differences in the resonance structure of two neuron models are understood in terms of differences in the phase portraits.

关键词： COHERENCE RESONANCE EXCITABLE SYSTEM NOISE

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Investigating manifold learning algorithms based on magnification factors and principal spread directions

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Jisuanji Xuebao/Chinese Journal of Computers 2005年第12期28卷 2000-2009页

作者： He, Li Zhang, Jun-Ping Zhou, Zhi-Hua Shanghai Key Laboratory of Intelligent Information Processing Department of Computer Science and Engineering Fudan University Shanghai 200433 China Key Laboratory of Complex Systems and Intelligence Science Chinese Academy of Sciences Shanghai 200433 China Department of Computer Science and Engineering School of Mathematical Sciences Fudan University Shanghai 200433 China National Laboratory for Novel Software Technology Nanjing University Nanjing 210093 China

As a new unsupervised learning technique, manifold learning has captured the attention of many researchers in the field of machine learning and cognitive sciences. The major algorithms include Isometric mapping (ISOMAP) and Locally Linear Embedding (LLE). The approaches can be used for discovering the intrinsic dimensions of nonlinear high-dimensional data effectively and aim researchers to analyze the data better. How to quantitatively analyze the relationship between the intrinsic dimensions and the observation space, however, has fewer reports. And thus further works in manifold learning may have suffered some difficulties. The paper focuses on two kinds of manifold learning algorithms (ISOMAP, LLE), and discusses magnification factors and principal spread directions from the observation space to the intrinsic low-dimensional space. Also the corresponding algorithm is proposed. Experiments show the effectiveness and advantages of the research.

关键词： Learning algorithms

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