In this paper, we consider the problem of time series classification. Using piecewise linear interpolation various novel kernels are obtained which can be used with Support vector machines for designing classifiers ca...
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Recent major accidents related to bridges have emphasized the need for developing effective technological solutions for defect detection, which can minimize the possibility of bridge-related accidents in the future. I...
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This paper presents a new seven-level voltage source converter (VSC) for high-power medium-voltage (MV) motor drives. The proposed topology is composed of H-bridge connection of two nested neutral-point-clamped (NNPC)...
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A knowledge management system is more than an archive of textual documents;it provides context information, allowing to know which documents where used by people with a common goal. In the hypothesis that a set of tex...
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ISBN:
(纸本)2930307102
A knowledge management system is more than an archive of textual documents;it provides context information, allowing to know which documents where used by people with a common goal. In the hypothesis that a set of textual documents with a common context can be assimilated to the long term memory of a human expert executor, we can use on them mining techniques inspired by the mechanic of human comprehension in expert domains. Text mining techniques for KM task can use a model of the long-term memory to extract meaningful keywords from the documents. The model acts as a dynamic and non-stationary dimensionality reduction strategy, allowing the clustering of context documents according to keyword presence, the classification of external documents according to local criteria, and a better understanding of document content and relatedness.
Recognizing faces from face detector outputs is a hard problem. While existing face recognition (FR) techniques essentially work on pre-processed (cropped and aligned) data, we employ Gabor-based covariance descriptor...
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The global robust servomechanistrl problem (alternatively, global robust output regulation problem) for lower triangular systems has been studied for two special cases. The first case assumes that the systems only con...
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The promise of a contemporary artificial intelligence optimization technique named arithmetic optimization algorithm is demonstrated in this work for automatic voltage regulator control. In this regard, a real proport...
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For Internet based real-time teleoperation systems, random time delay can cause instability in the closed loop control system and hence hinder task accomplishment. Event based control systems have been proposed to ove...
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Illumination, pose variations, disguises, aging effects and expression variations are some of the key factors that affect the performance of face recognition systems. Face recognition systems have always been studied ...
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This paper provides a new design synthesis for the stable PID controllers to achieve the robustness to the system gain variations based on the first order plus time delay (FOPTD) systems. This designed PID controller ...
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