Images are being produced and made available in ever increasing numbers;but how can we find images "like this one" that are of interest to us? Many different systems have been developed which offer content-b...
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A boundary meshless method (BMLM) for transient analysis was presented. This method combined a point interpolation method for construction of spatial shape functions for the governing equations. The spatial shape func...
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A boundary meshless method (BMLM) for transient analysis was presented. This method combined a point interpolation method for construction of spatial shape functions for the governing equations. The spatial shape functions satisfied the Kronecker delta function and the essential boundary condition can be directly imposed on the boundary. Eddy current distribution and eddy current density on symmetry axis were also given using the proposed method. The results all proved that BMLM is an effective technique to analyze the transient eddy current problems.
Multiple recirculations through an optical buffer using a fast-reconfigurable AVC based crosspoint switch matrix is shown. A 10 Gbit/s payload is used and a small power penalty for each additional recirculation is ach...
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Multiple recirculations through an optical buffer using a fast-reconfigurable AVC based crosspoint switch matrix is shown. A 10 Gbit/s payload is used and a small power penalty for each additional recirculation is achieved.
This paper presents a new approach to soft switching between two model predictive controllers. The motivation for this work comes from the control of large scale hierarchical systems where different operating scenario...
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This paper presents a new approach to soft switching between two model predictive controllers. The motivation for this work comes from the control of large scale hierarchical systems where different operating scenario asking for different control objective makes a single model predictive controller (MPC) unsuitable. The proposed soft switching approach shows much better switching performance both in system output and control input than the traditional hard switching. The stability of the designed soft switching process is analysed and sufficient conditions for stability are derived. Numerical examples with simulation results show that the proposed approach can be useful in practical applications.
Finding an object or a face in an input image is a search problem in the spatial domain. Neural networks have shown good results in detecting a certain face/object in a given image. In this paper, faster neural networ...
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Finding an object or a face in an input image is a search problem in the spatial domain. Neural networks have shown good results in detecting a certain face/object in a given image. In this paper, faster neural networks for face/object detection are presented. Such networks are designed based on cross correlation in the frequency domain between the input image and the input weights of neural networks. This approach is developed to reduce the computation steps required by these faster neural networks for the search process. The principle of divide and conquer strategy is applied through image decomposition. Each image is divided into small-size sub-images, and then each of them is tested separately using a single faster neural network. Furthermore, the fastest face/object detection is achieved using parallel processing techniques to test the resulting sub-images simultaneously using the same number of faster neural networks. In contrast to using faster neural networks only, the speed-up ratio is increased with the size of the input image when using faster neural networks and image decomposition. Moreover, the problem of local subimage normalization in the frequency domain is solved. The effect of image normalization on the speed-up ratio for face/object detection is discussed. Simulation results show that local subimage normalization through weight normalization is faster than subimage normalization in the spatial domain. The overall speed-up ratio of the detection process is increased as the normalization of weights is carried out off line.
An integrated approach to control of quantity and quality in water supply and distribution systems is proposed. The integrated control consists in optimising the operational cost, meeting a demand on water of desired ...
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An integrated approach to control of quantity and quality in water supply and distribution systems is proposed. The integrated control consists in optimising the operational cost, meeting a demand on water of desired quality and maintaining the system constraints. This constrained optimising control problem is complex due to nonlinearities, large dimension, output constraints, mixed-integer structure of the variables involved, at least two time scales in the system dynamics and an uncertainty. A sub-optimal two-level hierarchical control structure is proposed that allows incorporating the desired controller functions and yet making the synthesis of these functions possible. The algorithms for implementing the functionalities are proposed and discussed. Detail design of the lower level controller is presented and investigated. The controller performance is validated by simulation. [ABSTRACT FROM AUTHOR]
We propose a low complexity frequency diversity technique for OFDM to improve its error performance in a frequency-selective wireless channel. Recently, linear precoding has been proposed to achieve frequency diversit...
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We propose a low complexity frequency diversity technique for OFDM to improve its error performance in a frequency-selective wireless channel. Recently, linear precoding has been proposed to achieve frequency diversity (multipath diversity) in OFDM, which overcomes the problem of channel nulls (deep fades in frequency-domain). However, currently reported precoding techniques for OFDM have high computational complexity due to associated maximum-likelihood (ML) decoding or pseudo-inverse of large matrices (linear decoding). In the proposed diversity enhanced-OFDM (DE-OFDM), the decoding complexity is minimal as maximum ratio combining (MRC) is incorporated at the receiver to generate a decision variable for each repeatedly transmitted symbol over multiple subcarriers. Moreover, we show that DE-OFDM does not cause any effective data rate (throughput) loss as DE-OFDM using a higher-order modulation scheme (thus the same data rate as conventional OFDM) can provide a better error performance. Both analytical and simulation results are provided to demonstrate the efficiency of DE-OFDM in achieving frequency diversity benefit with low receiver complexity in multipath (frequency-selective) channels. DE-OFDM also outperforms the previously proposed ICI self-cancellation schemes in a frequency-selective fading channel with small frequency offset error.
Antilock braking systems (ABS) have been developed to improve vehicle control during sudden braking especially on slippery road surfaces. The objective of such control is to increase wheel tractive force in the desire...
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Antilock braking systems (ABS) have been developed to improve vehicle control during sudden braking especially on slippery road surfaces. The objective of such control is to increase wheel tractive force in the desired direction while maintaining adequate vehicle stability and steerability and also reducing the vehicle stopping distance. In this paper, an optimized fuzzy controller is proposed for antilock braking systems. The objective function is defined to maintain wheel slip to a desired level so that maximum wheel tractive force and maximum vehicle deceleration are obtained. All components of fuzzy system are optimized using genetic algorithms. The error based global optimization approach is used for fast convergence near optimum point. Simulation results show fast convergence and good performance of the controller for different road conditions.
An 8×8 pixel array has been designed and fabricated for broadband THz detection. Each pixel consists of a 500×500 μm thin film absorber on a SiN membrane with thermopile temperature readout. The expected pe...
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This paper describes effectiveness in applying speaker normalization based on a vocal tract length ratio between two speakers to spoken word recognition. One of the two speakers is a speaker who utters unknown words t...
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