Proposed is a certain generalization of nonmonotonic fuzzy set operators introduced originally by R. R. Yager. By introducing a modulating function one can effectively model situations in which available information i...
This paper proposes a new memory allocation method for shared memory multiprocessors with large virtual address spaces. An evaluation of its performance is also presented. For effective use of shared memory multiproce...
This paper discusses an approach to reducing memory latency in future systems. It focuses on systems where a single chip DRAM/processor will not be feasible even in 10 years, e.g. systems requiring a large memory and/...
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This paper discusses an approach to reducing memory latency in future systems. It focuses on systems where a single chip DRAM/processor will not be feasible even in 10 years, e.g. systems requiring a large memory and/or many CPU's. In such systems a solution needs to be found to DRAM latency and bandwidth as well as to inter-chip communication. Utilizing the projected advances in chip I/O bandwidth we propose to implement a decoupled access-execute processor where the access processor is placed in memory. A program is compiled to run as a computational process and several access processes with the latter executing in the DRAM processors. Instruction set extensions are discussed to support this paradigm. Using multi-level branch prediction the access processor stays ahead of the execute processor and keeps the latter supplied with data. The system reduces latency by moving address computation to memory and thus avoiding sending address to memory by the computational processor. This and the fetch-ahead capabilities of the access processor are combined with multiple DRAM "streaming" to improve performance. DRAM caching is assumed to be used to assist in this as well.
Much information in an image is concentrated in a few regions. These are dominated by structures characterized by discontinuities in color intensity. We present a wavelet based image analysis algorithm that identifies...
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Much information in an image is concentrated in a few regions. These are dominated by structures characterized by discontinuities in color intensity. We present a wavelet based image analysis algorithm that identifies features that persist across the scales of the wavelet decomposition. This is achieved through the notion of sub-band combining which we introduce here. We first decompose the image into scales using the wavelet transform. Then, for each pixel, the combining process computes a function that collects all the information available at the sub-band (detail) scales. The result is a mask image indicating the significance of every point. Additional processing and image enhancement can now concentrate their efforts in regions where the masks show high values. Medical images, which are band-limited and contain no illumination artifacts, are especially suited to take advantage of sub-band combining. We show how our method can be employed to remove noise, enhance, and smooth features in images from MRI and mammography. Also, we allude to the use of this method to the creation of scale maps for level-of-detail computations.
One of the problems of existing fuzzy-neural approaches is that the logic nature of the structure is often lost, i.e., what is being processed by the neural networks becomes irrelevant. To retain this logic content wh...
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One of the problems of existing fuzzy-neural approaches is that the logic nature of the structure is often lost, i.e., what is being processed by the neural networks becomes irrelevant. To retain this logic content while benefiting from the advantage of integrating fuzzy set and neural network approaches, we propose in this paper a fuzzy neural network which supports fuzzy inference mechanisms by being based exclusively on logic implication neurons. A supervised learning method involving an equality performance measure and an online update delta rule (gradient-based) learning procedure is used. An experimental study involving Wolfer's sunspot numbers is carried out, demonstrating fast convergence accompanied by explicit format of the inference network.
Hsys Module is a suite of Xmath functions for the analysis and synthesis of linear hybrid systems, which include purely continuous-time and discrete-time systems and sampled-data control systems. It provides all the f...
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ISBN:
(纸本)9783952426906
Hsys Module is a suite of Xmath functions for the analysis and synthesis of linear hybrid systems, which include purely continuous-time and discrete-time systems and sampled-data control systems. It provides all the functionality necessary to carry out the analysis and synthesis of such systems and a wide variety of utilities to facilitate design. This paper shows the data structure, the list of functions and the function overloading. It also gives an example of H∞ synthesis.
In this paper, stability analysis and robust control of a force-controlled arm having a symmetric rigid tip body, of which the mass center lies on the central axis of the arm, are discussed. We consider link flexibili...
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In this paper, stability analysis and robust control of a force-controlled arm having a symmetric rigid tip body, of which the mass center lies on the central axis of the arm, are discussed. We consider link flexibility as uncertainty and derive dynamic equations of the force-controlled arm. As the obtained boundary condition of the vibraton equation of the arm is nonhomogeneous, we introduce a change of variables to derive homogeneous boundary conditions. On the basis of a finite-dimensional modal model of distributed-parameter systems, stability of the force feedback is analyzed by using the root locus technique, and an optimal controller with low-pass property is constructed. Simulations have been carried out.
In this paper, an experimental study on robust control of bending and torsional vibrations and contact force of a one-link flexible arm is discussed. The flexible arm carries a symmetric rigid tip body, of which the m...
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In this paper, an experimental study on robust control of bending and torsional vibrations and contact force of a one-link flexible arm is discussed. The flexible arm carries a symmetric rigid tip body, of which the mass center lies on the center axis of the arm. We derive dynamic equations of the joint angle, the vibrations of the flexible link, and the contact force. On the basis of a finite-dimensional modal model of a distributed-parameter system, robust controllers are constructed. Some experimental results are shown.
We relate the H/sub /spl infin// and H/sub 2/ norms for multi-input/multi-output sampled-data feedback control systems, where a continuous-time plant is controlled by a digital compensator with hold and sampler. Upper...
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We relate the H/sub /spl infin// and H/sub 2/ norms for multi-input/multi-output sampled-data feedback control systems, where a continuous-time plant is controlled by a digital compensator with hold and sampler. Upper bounds on both H/sub 2/ and H/sub /spl infin// norms are obtained based on fundamental relations derived by two different approaches, namely the hybrid state-space approach and the fast sampling and lifting approach.
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