In the paper we want to present a problem of path following for nonholonomic mobile manipulators. In our consideration we restrict ourself to doubly nonholonomic mobile manipulators. Nonholonomic constraints appear du...
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This paper compares two methodologically different approaches to gene set analysis applied for selection of features for sample classification based on microarray studies. We analyze competitive and self-contained met...
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In this work we use the Fourier expansion to characterize and model many-core processor workloads for the purpose of computing accurate predictions of individual core thermal statuses. We demonstrate, that even if the...
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This paper focuses on the theoretical aspects of clustering in wireless sensor networks, as a mean to improve network lifetime. We investigate whether clustering itself (with no data aggregation) can improve network l...
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ISBN:
(纸本)9781424487042
This paper focuses on the theoretical aspects of clustering in wireless sensor networks, as a mean to improve network lifetime. We investigate whether clustering itself (with no data aggregation) can improve network lifetime in particular application when compared to non-clustered networks. We use integer linear programming to analyse 1D and 2D networks, taking into account capabilities of real-life nodes. Our results show that clustering itself cannot improve network lifetime so additional techniques and means are required to be used in synergy with clustering.
We present formal models and efficient synthesis algorithms for threshold gates of Generalised Threshold Gate (GTG) and Multi Threshold Threshold Gate (MTTG) structures. For GTG synthesis our method does not require t...
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The paper deals with a representation of the antibody-antigen chromosomes. The proposed new binary decoding allows us to prove the dependence between subsequent generations of chromosomes, using quick and simple opera...
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This paper extends the RAS-based approach to conflict resolution in multi-vehicle systems presented in Reveliotis and Roszkowska (2008). Similar to that earlier work, the employed model assumes the tesselation of the ...
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This paper uses the continuation method as a guideline to address the trajectory planning problem in robotic systems. It is assumed that the robotic system can be represented by a control affine system with output. Fr...
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This paper uses the continuation method as a guideline to address the trajectory planning problem in robotic systems. It is assumed that the robotic system can be represented by a control affine system with output. From the homotopy map a partial differential equation is derived involving the control system and its variational system, whose solution yields a 1-parameter family of control functions. This family contains a solution to the trajectory planning problem, corresponding to the parameter growing up to infinity. The approach developed in the paper is illustrated with a trajectory planning problem for the kinematics of the rolling ball.
For high-dimensional data processing, like pattern recognition, it seems desirable to precede with a reduction of the number of describing features. Our aim is a comparison of various feature selection methods for pat...
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For high-dimensional data processing, like pattern recognition, it seems desirable to precede with a reduction of the number of describing features. Our aim is a comparison of various feature selection methods for pattern recognition. We consider two-class supervised classification problem for signals decomposed in wavelet bases. We test kNN classification rule with soft and hard thresholding, performed in two stages: (1) wavelet detail coefficient thresholding (noise reduction) and (2) searching for the most differentiating coefficients between classes (selection of discriminating coefficients). We present a new classification rule based on LARS/LASSO. We compare criteria for L1-norm regularization of wavelet coefficients: AIC, BIC and the thresh derived for kNN rule. There were performed simulations for noisy signals with SNR in the range from 0 to 22 [dB], approximated for all possible wavelet resolutions. The quality of pattern recognition for the presented algorithms was measured by the estimated recognition risk and the size of reduced model.
Memory failures are quite common in todays technology. When they occur, the whole memory bank has to be replaced, even if only few bytes of memory are faulty. With increasing sizes of memory chips the urge not to wast...
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