Energy consumption has become an important issue for modern embedded systems. This is because, one does not only like to deploy high-performance systems and provide guaranteed services, but also request system deploym...
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ISBN:
(纸本)9781450307154
Energy consumption has become an important issue for modern embedded systems. This is because, one does not only like to deploy high-performance systems and provide guaranteed services, but also request system deployments to last as long as possible. With online dynamic power management (DPM), one adaptively changes the system's power mode, i. e., schedules when to turn on and off on-the-fly, to achieve energy savings. This paper introduces dynamic counters and discusses their usage in the context of (online) DPM in a setting where systems have to fulfill hard real-time requirements. The proposed scheme enables one to conservatively bound the future workload and thereby to safely schedule on- and off-periods of devices. Simulation results indicate that the proposed technique is more efficient and more effective with respect to energy savings, compared to previous work. Copyright 2011 ACM.
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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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.
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.
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].
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.
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.
Abstract 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 tesselatio...
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Abstract 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 motion space into cells, which constitute the set of resources shared by the system agents. The key difference in the proposed abstraction is the admission of up to two agents in a single cell at a time, instead of only one, that was assumed earlier. This changes dramatically the complexity of the state-safety problem, from computationally hard to easy, and allows the effective deployment of a maximally permissive control scheme for the coordination of the agents’ motion, as well as the implementation of this scheme in the form of a distributed protocol.
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.
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