This paper addresses two issues of the Consumer Electronics Bus (CEBus) implemented on the Power Line medium: the determination of (a) optimum packet length, and (b) optimum buffer size. The delay-throughput character...
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This paper addresses two issues of the Consumer Electronics Bus (CEBus) implemented on the Power Line medium: the determination of (a) optimum packet length, and (b) optimum buffer size. The delay-throughput characteristics of each of the three priority classes of messages, i.e., HIGH, STANDARD, and DEFERRED, have been measured by simulation experiments for various packet lengths and buffer sizes. This way optimum packet length and buffer sizes have been deduced. The optimum packet length has been obtained by evaluating the effect of increasing packet size for a particular traffic pattern and offered load. The optimum buffer size at a node corresponds to the best overall performance for messages of all priorities in terms of overflow rates at the buffers of the nodes with respect to increasing offered loads. The optimum packet length has been found to be between 276 and 400 USTs, i.e., 184 and 276 bits. If we assign 276 USTs as the optimum packet length, the optimum buffer size at each node is found to be between 150 and 200 packets, i.e., approximately 28 to 37 Kbits.
Neural net architectures, with a hidden layer or functional links, have been utilized to generate prediction for one-dimensional (1-D) differential pulse code modulation (DPCM), applied to still image coding. In this ...
Neural net architectures, with a hidden layer or functional links, have been utilized to generate prediction for one-dimensional (1-D) differential pulse code modulation (DPCM), applied to still image coding. In this approach, the predictor is designed by supervised training based on a typical sequence of pixel values; i.e., the values of the coefficients of the predictor are determined by training on examples. Nonlinear as well as linear correlations are exploited. computer simulation experiments have been carried out to evaluate the resulting performance. At a transmission rate of 1 bit/pixel, for the images Lena and Baboon, the 1-D neural network DPCM provides a 4.17- and 3.74-dB improvement in peak SNR, respectively, over the standard linear DPCM system.
We propose a new interprocessor communication network, named the Segmented Bus, for multiprocessor message passing computer architectures executing groups of processes with localized communication patterns and time va...
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An intelligent hybrid system architecture is proposed for the design of plastic parts. To facilitate the concept of concurrent engineering, an object-oriented design environment is recommended. Problems with previous ...
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An intelligent hybrid system architecture is proposed for the design of plastic parts. To facilitate the concept of concurrent engineering, an object-oriented design environment is recommended. Problems with previous intelligent design systems are discussed. Using neural networks in conjunction with expert systems may provide the route to a more flexible design space. The necessary architecture to achieve these goals is described. A working model of the system was created. This model is discussed in detail.
Neural net architectures, with a hidden layer or functional links have been utilized to generate predictions for 1D differential pulse-code modulation (DPCM) applied to still image coding. In this approach, the predic...
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Neural net architectures, with a hidden layer or functional links have been utilized to generate predictions for 1D differential pulse-code modulation (DPCM) applied to still image coding. In this approach, the predictor is designed by supervised training based on a typical sequence of pixel values, i.e. the values of the coefficients of the predictor are determined by training on examples. Nonlinear and linear correlations are exploited. computer simulation experiments have been carried out to evaluate the resulting performance. At a transmission rate of 1 bit/pixel, for the images LENA and BABOON, the 1D neural network DPCM provides a 4.17 and 3.74 db improvement in peak SNR, respectively, over the standard linear DPCM system.< >
A parallel-jaw type multiple-d.o.f. robot hand is designed and implemented to manipulate workpieces within the hand by rotation and translation. An efficient manipulator control algorithm and part mating application i...
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A parallel-jaw type multiple-d.o.f. robot hand is designed and implemented to manipulate workpieces within the hand by rotation and translation. An efficient manipulator control algorithm and part mating application is developed. A simulation result is also presented to show the changes of force during part insertion to verify the models developed.< >
A comparative study of a classical expert system and an adaptive fuzzy expert control system for an inverted pendulum is presented. Specifically, three controllers are compared: constant gain, expert controller, and a...
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A comparative study of a classical expert system and an adaptive fuzzy expert control system for an inverted pendulum is presented. Specifically, three controllers are compared: constant gain, expert controller, and an adaptive fuzzy expert controller. The comparative study was done by means of computer simulation through the Matlab and Togai InfraLogic's Fuzzy-C software programs. It is seen that the fuzzy expert controller provides much better performance than the regular expert system.< >
Dynamic segmentation is a method for improving the performance of cooperating tasks executed on loosely coupled multiprocessors. Four different data transfer techniques that can be used for intersegment data transfers...
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Dynamic segmentation is a method for improving the performance of cooperating tasks executed on loosely coupled multiprocessors. Four different data transfer techniques that can be used for intersegment data transfers in dynamically segmented buses are analyzed. Preemptive data transfers are considered for uniform message latencies and results are provided for message latency comparisons using various locality factors. These results indicate dynamic segmentation improves performance considerably, at a fraction of the cost of more complex interconnection networks such as multiple buses.< >
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