To attain adaptive online learning capability of behaviors coordination and cooperation for the distributed intelligent control system which is situated in variational and open environment, the coevolution technique w...
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A design of fuzzy model-based predictive control for industrial furnaces has been derived and applied to the model of three-zone 25 MW RZS pusher furnace at Skopje Steelworks. The fuzzy-neural variant of Takagi-Sugeno...
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The document image segmentation is an important component in the document image understanding. kernel-based methods have demonstrated excellent performances in a variety of pattern recognition problems. This paper app...
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ISBN:
(纸本)0780393953
The document image segmentation is an important component in the document image understanding. kernel-based methods have demonstrated excellent performances in a variety of pattern recognition problems. This paper applies kernel-based methods and Gabor wavelet to the document image segmentation. The feature image are derived from Gabor filtered images. Taking the computational complexity into account, we subject the sampled feature image to spectral clustering algorithm (SCA). The clustering results serve as training samples to train a support vector machine (SVM). The initial segmentation is obtained by assigning class labels to pixels of the feature image with the trained SVM. A proper post-processing is used to improve the segmentation result. Several representative document images scanned from popular newspapers and journals are employed to verify the effectiveness of our algorithm.
This paper is a study of the optimization of a configuration and reconfiguration problem applied to the navy ship power system presenting a redundant power distribution layout. The multiagent method has been applied i...
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This paper is a study of the optimization of a configuration and reconfiguration problem applied to the navy ship power system presenting a redundant power distribution layout. The multiagent method has been applied in order to make the power system converge towards its optimal configuration in its initial start up and during normal operation when a reconfiguration is required. The optimal process has been achieved by the agents and the simulations have been conducted with different cases of operation mode of the navy ship. The optimal configurations were derived through a program written in C++ for the agents and the results confirm the feasibility of applying the multiagent method for optimizing the navy ship power system
In computing sciences (e-Sciences) we need computer power, excellent algorithms and programming power in order to solve scientific problems leading to discoveries and development of innovative new products. So far, th...
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ISBN:
(纸本)9781424430116
In computing sciences (e-Sciences) we need computer power, excellent algorithms and programming power in order to solve scientific problems leading to discoveries and development of innovative new products. So far, the computer power and the computing algorithms have been developed incredibly, and have provided enormous contributions to e-Sciences and e-Productions. Problem solving environments (PSE) support the programming power in e-Sciences and e-Productions, and have been studied actively for a few decades. In this paper a distributed PSE, named D-NCAS is presented, and a computer-assisted mathematical modeling support is also discussed in D-NCAS, which helps users solve partial differential equation (PDE) based problems in scientific computing. The D-NCAS PSE inputs a problem description and outputs a program flow, a C-language source code for the problem and also a document for the program. Each PSE module is distributed on networklinked distributed computers. The PSE holds all the information of the problem: PDEs, discretization scheme, mesh information, equation manipulation results, designed program structure, variable and constant definitions and program itself. The PSE concept has been opening a new direction for the computer-assisted programming or development of scientific simulation programs or CAEs.
Austenitic stainless steel is classified as a nonmagnetic material. However application of stress transforms the plastic part of it into a martensitic crystal structure and it takes on magnetization. Strain evaluation...
Austenitic stainless steel is classified as a nonmagnetic material. However application of stress transforms the plastic part of it into a martensitic crystal structure and it takes on magnetization. Strain evaluation can be performed by measuring the leakage magnetic flux from the remanent magnetization after applying stress to austenitic stainless steels. This paper presents the measurement to make clear the distributions of the leakage magnetic flux after applying strain into austenitic stainless steels by magnetic sensors.
In this paper, we have presented application of Gerschgorin theorem in relative stability analysis of a system represented by a polynomial. We have also presented the applications of Gerschgorin Theorem in reduced ord...
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In this paper, we have presented application of Gerschgorin theorem in relative stability analysis of a system represented by a polynomial. We have also presented the applications of Gerschgorin Theorem in reduced order modeling by identifying time scales and stabilization for linear time invariant systems.
The non‐destructive evaluation system which is developed using an eddy current probe to evaluate fatigue damage in an austenitic stainless steel is reported in this paper. This probe is composed of the ferrite core a...
The non‐destructive evaluation system which is developed using an eddy current probe to evaluate fatigue damage in an austenitic stainless steel is reported in this paper. This probe is composed of the ferrite core and two pick‐up coils connected differentially. The eddy current induced by the excitation coil is disarranged by nonuniform distribution of electromagnetic characteristics due to fatigue damage. The structural function of the eddy current probe proposed, enable to detect the eddy current disarrangement by fatigue damage. This probe detects the change of electromagnetic characteristics in the direction of X. In this paper, SUS304, a austenitic stainless steel was used as the sample. The experimental results show that the output voltage of the probe clearly depends on the number of stress cycles.
This paper considers the problem of designing distributed fault diagnosis algorithms for dynamic systems using sensor networks. A network of distributed estimation agents is designed where a bank of local Kalman filte...
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ISBN:
(纸本)1424401704;9781424401703
This paper considers the problem of designing distributed fault diagnosis algorithms for dynamic systems using sensor networks. A network of distributed estimation agents is designed where a bank of local Kalman filters is embedded into each sensor. The diagnosis decision is performed by a distributed hypothesis testing method that relies on a belief consensus algorithm. Under certain assumptions, both the distributed estimation and the diagnosis algorithms are derived from their centralized counterparts thanks to dynamic average-consensus techniques. Simulation results are provided to demonstrate the effectiveness of the proposed architecture and algorithm
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