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].
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.
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.
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.
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.
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 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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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 refers to the issue of robot companion being able to migrate between different embodiments. The main attention is focused on the case when two or more companions can share the same embodiment. It is shown th...
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The paper refers to the issue of robot companion being able to migrate between different embodiments. The main attention is focused on the case when two or more companions can share the same embodiment. It is shown that some behavioural characteristics can be significant in the process of recognition of the companion's identity. The results are based on a video based experimental study. Animations for this study were prepared using a dedicated software.
In this paper, we present constant-coefficient finite impulse response (FIR) filters design using residue number system (RNS) arithmetic. The novelty of our approach rests in an attempt to maximize the accumulated ben...
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