This paper proposes a model for caching database data in mobile ad-hoc networks through caching the queries and their responses. The approach makes a distinction between the queries and their responses and caches them...
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This paper proposes a model for caching database data in mobile ad-hoc networks through caching the queries and their responses. The approach makes a distinction between the queries and their responses and caches them on separate mobile nodes. This method is driven by the fact that queries do not become invalid unless when the design of the database entities changes while data changes depending on the application that feeds information into the database. The architecture we use is hierarchical and employs three types of designated nodes: a query directory (QD), service manager (SM), and caching node (CN). The one or more QDs are responsible for caching the queries and are assigned and supervised by the SM that also oversees the mobility activities and the availability of nodes in the network and makes "managerial" decisions accordingly, including appointing backup nodes. With this model, any node that joins the ad hoc network will either contribute services to other nodes (willingness to become an SM, a QD, or a CN) or consume services offered by other nodes. This model attempts to coordinate the query executing and query caching mechanisms in a seamless manner while maintaining minimal communication among nodes. We present preliminary results of a model that was simulated using the NS-2 software and show the viability of the proposed approach.
Multilayer perceptron and radial basis function neural networks have been traditionally used for plant identification in power systems applications of neural networks. While being efficient in tracking the plant dynam...
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Multilayer perceptron and radial basis function neural networks have been traditionally used for plant identification in power systems applications of neural networks. While being efficient in tracking the plant dynamics in a relatively small system, their performance degrades as the dimensions of the plant to be identified are increased, for example in supervisory level identification of a multimachine power system for wide area control purposes. Recurrent neural networks can deal with such a problem by modeling the system as a set of differential equations and with less order of complexity. Such a recurrent neural network identifier is designed and implemented for supervisory level identification of a multimachine power system with a FACTS device. Simulation results are provided to show that the neuroidentifier can track the system dynamics with sufficient accuracy
Collaborative e-commerce provides an increased level of flexibility and dynamicity and generates an entrepreneurial competitive edge. Widely accepted implementation frameworks like RosettaNet may be utilized to provid...
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Collaborative e-commerce provides an increased level of flexibility and dynamicity and generates an entrepreneurial competitive edge. Widely accepted implementation frameworks like RosettaNet may be utilized to provide generic inter-enterprise B2B infrastructure. This paper presents an innovative approach towards utilizing RosettaNet in combination with Web services and ontologies for the enforcement of the continuous replenishment planning model
Signal processing algorithms represented by data flow graphs can be efficiently mapped to hardware using a block level pipelining architecture. In this scheme, nodes of data flow are mapped to processing blocks and bu...
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Signal processing algorithms represented by data flow graphs can be efficiently mapped to hardware using a block level pipelining architecture. In this scheme, nodes of data flow are mapped to processing blocks and buffers are inserted in between as pipelining elements. We present, in this paper, a methodology for equalizing execution times of various nodes in the data path. The method is used to minimize the power dissipation and buffer usage by judiciously selecting the execution speed of hardware units. The block level pipelining allows for simple local controllers for each buffer which are generated by the global controller based on data flow specifications. The evaluation of the methodology on a practical example is presented.
作者:
I. AndreadisA. AmanatiadisLaboratory of Electronics
Section of Electronics and Information Systems Technology Department of Electrical and Computer Engineering Democritus University of Thrace Xanthi Greece
The proposed scaling algorithm outperforms other standard and widely used scaling techniques. The algorithm uses a mask of maximum four pixels and calculates the final luminosity of each pixel combining two factors; t...
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The proposed scaling algorithm outperforms other standard and widely used scaling techniques. The algorithm uses a mask of maximum four pixels and calculates the final luminosity of each pixel combining two factors; the percentage of area that mask covers from each source pixel and the difference in luminosity between the source pixels. The interpolation is capable of scaling both grey-scale and color images of any resolution in any scaling factor. Its key characteristics and low complexity make the interpolation very fast and capable of real time implementation. The performance results in a variety of standard tests are presented and compared to other scaling algorithms
The paper explores a reconfigurable platform design methodology for high throughput execution of data centric applications. The reconfiguration platform consists of heterogenous processing elements and buffers interac...
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The paper explores a reconfigurable platform design methodology for high throughput execution of data centric applications. The reconfiguration platform consists of heterogenous processing elements and buffers interacting through reconfigurable interconnects. The proposed platform is based on block level pipelining with the buffers and their respective controllers forming the pipelining elements. We discuss the dynamic and partial reconfiguration techniques of this platform. Specifically, reconfiguration overhead at runtime is illustrated.
A custom simulation tool that combines HSPICE and MATLAB to enable time-domain noise analysis is reported. The simulation technique is based on computing the statistics of a random process by ensemble averaging and is...
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A Mamdani based fuzzy logic controller is designed and implemented for controlling a STATCOM, which is connected to a 10 bus multimachine power system. Such a controller does not need any prior knowledge of the plant ...
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A Mamdani based fuzzy logic controller is designed and implemented for controlling a STATCOM, which is connected to a 10 bus multimachine power system. Such a controller does not need any prior knowledge of the plant to be controlled and can efficiently provide control signals for the STATCOM during different disturbances in the network The proposed controller is implemented using the M67 DSP board and is interfaced to the multimachine power system simulated on a real-time digital simulator (RTDS). Experimental results are provided, showing that the proposed controller provides more effective damping than the conventional PI controller in a typical large scale disturbance, i.e., a three phase short circuit.
Generation of harmonics and the existence of waveform pollution in power system networks is one of the major problems facing the utilities. This paper proposes a neural network solution methodology for the problem of ...
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Generation of harmonics and the existence of waveform pollution in power system networks is one of the major problems facing the utilities. This paper proposes a neural network solution methodology for the problem of measuring the actual amount of harmonic current injected into a power network by a nonlinear load. The determination of harmonic currents is complicated by the fact that the supply voltage waveform is distorted by other loads and is rarely a pure sinusoid. A recurrent neural network trained with the backpropagation through time (BPTT) training algorithm is used to find a way of distinguishing between the load harmonics and supply harmonics, without disconnecting the load from the network. The biggest advantage of this method is that only waveforms of voltages and currents have to be measured. This method is applicable for both single and three phase loads. This technology could be fabricated into a commercial instrument that could be installed in substations of large customer loads, or used as a hand-held clip on instrument
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