The paper presents a new modeling framework enabling to evaluate the cyclic steady state of a given system of concurrently flowing cyclic processes (SCCP) on the base of the assumed topology of transportation routes, ...
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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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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 to calculate thresholds, that separate function onset and offsets, which greatly simplifies and speeds up the synthesis algorithm. For MTTG we propose a novel synthesis method that determines structure and circuit parameters efficiently. As complexity of MTTG circuit increases with number of thresholds we have developed a dedicated heuristic for efficiently determining the number of required thresholds. The number of resulting thresholds is smaller compared to the number of thresholds calculated using other methods.
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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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 methods in terms of predictive performance of features generated from most differentially expressed gene sets (pathways) identified with these approaches. We also observe stability of features returned. We use the features to train several classifiers (e.g., SVM, random forest, nearest shrunken centroids, etc.) We generally observe smaller classification errors and better stability of features produced by the self-contained algorithm. This comparative study is based on the leukemia data set published in [3].
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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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.
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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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 workload is modeled with only a few components of its Fourier expansion, not only we obtain improved accuracy of aggregate performance measures like throughput or power consumption, but also we obtain highly accurate thermal profiles of individual cores. In this work we present the measurement and simulation results and accuracy analysis of our proposed approach. Our experiments show that assuming average activity of threads in a multi-threaded workload run on a many-core processor may lead to as much as 25% error in the estimation of the overall throughput of the system, and even larger discrepancies in the estimates of individual core's temperature traces, while applying even a few-component Fourier expansion of the benchmark traces reduce these errors by large margins.
In this paper an approach to gesture recognition is presented. It is based on application of simple ultrasonic range-finders. A set of five gestures is described which can be distinguish in this way. The described met...
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In this paper an approach to gesture recognition is presented. It is based on application of simple ultrasonic range-finders. A set of five gestures is described which can be distinguish in this way. The described method has been implemented for a mobile robot PeopleBot.
Our aim is to propose an extension of nD systems by treating uncertain parameters of a system as additional independent variables. We recall known results on deriving equations for the sensitivity of the system state ...
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Our aim is to propose an extension of nD systems by treating uncertain parameters of a system as additional independent variables. We recall known results on deriving equations for the sensitivity of the system state to parameter changes. Then, the problem of optimal control of linear systems extended by sensitivity equations with the quadratic criterion is stated. Its solution is relatively easy using the well known results for LQ optimal systems, but in our case the optimal controller is fed additionally by sensitivity signals. A numerical example indicates that the behavior of control system with reduced sensitivity is different than the behavior of classical systems, which is the price that we pay for parameter uncertainty.
Facing the challenge of accurately expressing emotions with robots and characters with limited expressive capabilities, we developed an abstraction model for generating emotional expressions based on the atomic featur...
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Scale space approach turned out to be a powerful framework for image processing purposes. In this paper we introduce proposal of a scale space concept generalized for datasets of quaternions e.g trajectories represent...
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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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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 operations on chromosomes indices, instead of processing the binary strings. Some formal properties of the immune system were expressed based on this representation. A consistency theoretical proof for epistatic properties as well as exploration possibilities of a crossover operator was given.
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