The paper presents a method for the determination of the capacitance matrix needed in modelling and simulation of signal transmission in multiple coupled interconnecting lines. The method utilises capacitance measurem...
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The paper presents a method for the determination of the capacitance matrix needed in modelling and simulation of signal transmission in multiple coupled interconnecting lines. The method utilises capacitance measurements and thus one of its useful application areas is in the validation of numerous previously published algorithms based on various approximations to field equations, originally developed for the computation of capacitance matrices. The technique described is based on the active separation of the capacitance network, achieved through the use of a unity-gain amplifier. Thanks to the circuit configurations introduced with a unity-gain amplifier it is possible to make direct capacitance measurements in the multiconductor interconnecting structures. Measurement procedures are described and analysis of errors in measured quantities caused by the imperfections of measuring equipment is discussed. A sample of results obtained in measuring manufactured test structures is included for illustration of the method and measuring procedures.
The feedback control structures are required in the presence of any kind of uncertainty. The benefits of the feedback are mainly paid with an excessive bandwidth that amplifies the sensor noise, saturating the actuato...
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In this paper, the design of explicit rate-based congestion control in high speed communication networks is considered. At a bottleneck node, there are multiple best-effort sources competing with other high priority c...
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This article reviews the current transmission control protocol (TCP) congestion control protocols and overviews recent advances that have brought analytical tools to this problem. We describe an optimization-based fra...
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This article reviews the current transmission control protocol (TCP) congestion control protocols and overviews recent advances that have brought analytical tools to this problem. We describe an optimization-based framework that provides an interpretation of various flow control mechanisms, in particular, the utility being optimized by the protocol's equilibrium structure. We also look at the dynamics of TCP and employ linear models to exhibit stability limitations in the predominant TCP versions, despite certain built-in compensations for delay. Finally, we present a new protocol that overcomes these limitations and provides stability in a way that is scalable to arbitrary networks, link capacities, and delays.
ATM multicasting using the multicast address resolution server (MARS) and multicasting server (MCS) has been presented as an efficient scheme for supporting IP multicast over ATM. On the other hand, Internet TV, dista...
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ATM multicasting using the multicast address resolution server (MARS) and multicasting server (MCS) has been presented as an efficient scheme for supporting IP multicast over ATM. On the other hand, Internet TV, distance learning, and file distribution are emerging large-scale multicast applications in which only a single source has to deliver data to all hosts participating in the multicast group. We introduce a new scheme for electing MCSs among all hosts in the network to minimize both the end-to-end path delay and the overall load across the network for single source applications. We introduce a new measure of the overall load which is determined by calculating the number of packets' copies multiplied by the number of hops done to complete the transmission of one packet from the sender to all members in the multicast group.
This paper presents an investigation into classifying myoelectric signals using a new fuzzy clustering neural network architecture for control of multifunction prostheses. Moreover, a comparative study of the classifi...
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This paper presents an investigation into classifying myoelectric signals using a new fuzzy clustering neural network architecture for control of multifunction prostheses. Moreover, a comparative study of the classification accuracy of myoelectric signals using multi-layer perceptron with back-propagation algorithm, and the new fuzzy clustering neural network (FCNN) is presented. The myoelectric signals considered are used to classify four upper-limb movements, which are elbow flexion, elbow extension, wrist pronation and wrist supination, grasp, and resting. The results suggest that FCNN can generalise better than the multi-layer perceptron without requiring extra computational effort. The proposed neural network algorithm allows the user to learn better and faster.
A new filtering approach designed to eliminate impulsive noise in color images, while preserving Jine image details is presented. The computational complexity of the new filter is significantly lower than that of the ...
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In this paper a novel approach to the problem of edge preserving smoothing, which allows to break an image into a set of homogeneous regions, is proposed and evaluated. The new algorithm is based on the combined forwa...
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Repetitive processes are a distinct class of 2D linear systems with applications in areas ranging from long-wall coal cutting and metal rolling operations through to iterative learning control schemes. The main featur...
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The use of low-level visual features to search and retrieve information in the multimedia databases has drawn much attention in the recent years [1,2]. Many of the existing techniques of image retrieval are based on i...
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