In asynchronous transfer mode (ATM) networks, when cells are lost due to congestion, packets containing the lost cells should be retransmitted in the transport layer, which manages the end-to-end communication. The pr...
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Traditionally, the performance of a stack machine was limited by the true data dependency. A performance enhancement mechanism-Stack Operations Folding-was used in Sun Microelectronics' picoJava design and it can ...
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ISBN:
(纸本)0818682272
Traditionally, the performance of a stack machine was limited by the true data dependency. A performance enhancement mechanism-Stack Operations Folding-was used in Sun Microelectronics' picoJava design and it can reduce up to 60% of all stack operations. In this paper, we use the Java bytecode language as the target machine language, and study its instruction folding on a proposed machine model. Three folding strategies: 2-foldable, 3-foldable and 4-foldable, were simulated and evaluated. Statistical data show that our third folding strategy eliminates 73% of all stack operations, and each strategy has an overall program speedup of 1.19, 1.25 and 1.26, respectively, as compared to a traditional stack machine. Moreover, a Java machine model suitable for instruction folding, together with its pipeline stages, are presented. It seems to have the best cost/performance effectiveness of a Java stack machine if six bytes decoder width and the second folding strategy-the three-foldable strategy-are adopted.
This paper presents an accurate estimation formula for the minimum filter length of optimum (the minimax criterion based) FIR low-pass digital filters when ripples in passband and those in stopband are identical. Two ...
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This paper presents an accurate estimation formula for the minimum filter length of optimum (the minimax criterion based) FIR low-pass digital filters when ripples in passband and those in stopband are identical. Two estimation formulae have been already proposed, but they have some problems which lead to wrong estimation. Discussing the problems based on both experimental results and theoretical considerations, we propose a new estimation formula. The accuracy of the proposed formula, is evaluated for some design examples and compared with that of the conventional formulae.
This paper presents the development of a Cellular Neural Network (CNN) architecture that is capable of learning the behaviour of a Cellular Automaton (CA) operating under local rule 30. Such a CA rule models the compl...
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This paper presents the development of a Cellular Neural Network (CNN) architecture that is capable of learning the behaviour of a Cellular Automaton (CA) operating under local rule 30. Such a CA rule models the complex behaviour of a random system. The CNN was trained using the Levenberg-Marquardt approximation to Newton's method and convergence was achieved very fast. The proposed CNN was able to generalize efficiently and it can be used as a pseudorandom number generator. The CNN architecture proposed in this paper is especially suited to VLSI implementation due to its inherent regularity, modularity and parallelism and also, due to the locality of interconnections.
We studied a 0.15-mu m InGaP/InGaAs/GaAs pseudomorphic HEMT operating under a negative drain bias, using a parameter extraction technique based on an analytical parameter transformation. The bias-dependent data of sma...
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We studied a 0.15-mu m InGaP/InGaAs/GaAs pseudomorphic HEMT operating under a negative drain bias, using a parameter extraction technique based on an analytical parameter transformation. The bias-dependent data of small signal equivalent circuit elements was obtained from S-parameters measured at up to 62.5 GHz at various bias settings. We then described the intrinsic part of the device using a new empirical large-signal model in which charge conservation and dispersion effects were taken into consideration. As far as we know, this is the first report to clarify the behavior of a HEMT operating under negative drain bias. We included our large signal model in a commercially-available harmonic-balance simulator as a user-defined model, and designed a 60 GHz MMIC oscillator. The fabricated oscillator's characteristics agreed well with the design calculations.
Existing edge detection methods provide unsatisfactory results when contrast changes largely within an image due to non-uniform illumination. Koch et al. developed an energy function based upon the Hopfield neural net...
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Existing edge detection methods provide unsatisfactory results when contrast changes largely within an image due to non-uniform illumination. Koch et al. developed an energy function based upon the Hopfield neural network, whose coefficients were fixed by trial and error, and remain constant for the entire image, irrespective of the differences in intensity level. This paper presents an improved edge detection method for non-uniformly illuminated images. We propose that the energy function coefficients for an image with inconsistent illumination should not remain fixed, rather should vary as a second-order function of the intensity differences between pixels, and actually use a schedule of changing coefficients. The results, compared with those of existing methods, suggest a better strategy for edge detection depending upon both the dynamic range of the original image pixel values as well as their contrast.
This paper presents an algorithm for discovering exceptional knowledge from *** knowledge, which is defined as an exception to a general fact, exhibits unexpectedness and is sometimes extremely useful in spite of its ...
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We show that the region lit by a point fight source inside a simple n-gon after at most k reflections off the boundary has combinatorial complexity O(n2k), for any k > 1. A lower bound of Ω((n/k)2k) is also establ...
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The presented work is strongly motivated by the need for categorizing unrestricted text in terms of a functional style (FS) in order to attain a satisfying outcome in style processing. Towards this aim, a three level ...
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The presented work is strongly motivated by the need for categorizing unrestricted text in terms of a functional style (FS) in order to attain a satisfying outcome in style processing. Towards this aim, a three level description of FS is given that comprises: (a) the basic categories of FS; (b) the main features that characterize each one of the above categories; and (c) the linguistic identifiers that act as style markers in text for the identification of the above features. Special emphasis is put on the problems that faced the computational implementation of the aforementioned findings, as well as the selection of the most appropriate stylometrics (i.e., stylistic scores) to achieve better results on text categorization. This approach is language independent, empirically driven, and can be used in various applications including grammar and style checking, natural language generation, style verification in real world text, and recognition of style shift between adjacent portions of text.
In this paper the performance analysis of a new high-speed cell-based interface is presented. The so called VIRUS interface can be used for replacing existing physical layer interfaces of cell-based networks, since it...
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In this paper the performance analysis of a new high-speed cell-based interface is presented. The so called VIRUS interface can be used for replacing existing physical layer interfaces of cell-based networks, since its functions result in lower hardware complexity and, thus, it can be easily used at higher data rates. The interface analysis is mainly focused on the evaluation of the proposed synchronization method as well as on the effects of the line coding scheme on the synchronization procedure. The results prove the advantage of the proposed interface when used for cell-based communication networks and high-speed point-to-point interfaces.
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