Artificial intelligence (AI) is critical in evolving 5G and developing 6G networks, running on edge devices, and solving resource management challenges. The burgeoning number of edge devices draws attention to the pot...
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Intelligent fault diagnosis (IFD) plays an important role to increase the safety and reliability of rotating machinery. In recent years, there is a large number of deep-learning-based algorithms applied to IFD. Many s...
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Aiming at the importance of the analysis for public opinion on Internet, the authors propose a high-performance extraction method for public opinion. In this method, the space model for classification is adopted to de...
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Aiming at the importance of the analysis for public opinion on Internet, the authors propose a high-performance extraction method for public opinion. In this method, the space model for classification is adopted to describe the relationship between words and categories. The combined feature selection method is used to remove noisy words from the original feature space effectively. Then the category weight of words is calculated by the improved formula combining the frequency of words and distribution of words. Finally, the class weights of the not-categorized documents based on the category weight of words are obtained for realizing opinion extraction. Experiment results show that the method has comparatively high classification and good stability.
This paper is concerned with signal predictive subband quantization in oversampled filter banks. It uses the analysis tools of robust filtering and control to obtain a worst case power spectral analysis of the predict...
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The paper presents the results obtained by the authors during the research done on the efficient usage of photovoltaic panels and proposes performant numerical methods for the estimation of the maximum power point (MP...
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The paper presents the results obtained by the authors during the research done on the efficient usage of photovoltaic panels and proposes performant numerical methods for the estimation of the maximum power point (MPP). The P(U) and P(I,U) models are computed for the BGSP - P225 solar panel model. For the first model, P(U), the paper proposes a polynomial interpolation search algorithm and for the P(I,U) model an optimal gradient algorithm, respectively. The performances obtained with these methods are evaluated and the main results are commented. The implementation of the search algorithms for the maximum power point is important for the computation of the set point given to the control systems, which control the photovoltaic panel, in order to obtain optimal photovoltaic generated power.
Cybersecurity has in recent years emerged as a paramount concern in the design and operation of industrial systems and civil infrastructures, due mainly to their susceptibility to malicious cyber attacks which take ad...
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The paper deals with the electromagnetic torque computations in models of rotating electrical machines utilizing the Lagrange sliding surface technique for rotor movement representation. Various interpolating function...
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The paper deals with the electromagnetic torque computations in models of rotating electrical machines utilizing the Lagrange sliding surface technique for rotor movement representation. Various interpolating functions are tested to construct a coupling algorithm for moving and stationary regions. Two different formulas for torque calculation are used. The error in torque computations is assessed using two models of induction machines. The reference models are those of the same machines but applying the moving band technique. The best interpolation algorithm is found from the analysis and its accuracy is assessed by comparison with other algorithms. The analysis is carried out under assumption of uniformly distributed nodes at the sliding interface and is addressed to two-dimensional finite element models based on first order approximation.
Our paper introduces a novel structural health monitoring (SHM) framework for preexisting surveillance camera video footage towards an automated structural engineering e-governance system in a smart city. We test our ...
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This paper proposes a new disturbance observer (DO)-based reinforcement learning (RL) control approach for nonlinear systems with unmatched (generalized) disturbances. While a nonlinear disturbance observer (NDO) is u...
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