This short paper presents a preliminary analysis of the impact of model parameter uncertainty on the accuracy of solution algorithms for the scheduling problems with the learning effect. We consider the maximum comple...
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(纸本)9789898565105
This short paper presents a preliminary analysis of the impact of model parameter uncertainty on the accuracy of solution algorithms for the scheduling problems with the learning effect. We consider the maximum completion time minimization flowshop problem with job processing times described by the power functions dependent on the number of processed jobs. To solve the considered scheduling problem we propose heuristic (NEH based) and metaheuristic (simulated annealing) algorithms. The numerical experiments show that NEH and simulated annealing are robust for this problem with respect to model parameter uncertainty.
Here we present an implementation of thermally-aware DVFS governor in a form of Linux 3.2 module. Our thermal governor operates by reading digital thermal sensors placed in CPU cores and pro-actively adjusting operati...
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Here we present an implementation of thermally-aware DVFS governor in a form of Linux 3.2 module. Our thermal governor operates by reading digital thermal sensors placed in CPU cores and pro-actively adjusting operating frequency of individual cores to maintain temperatures below given threshold. We evaluate our method using state-of-the-art parallel benchmarks from PARSEC suite. Apart from evaluation of our thermally-aware DVFS governor, we present insights into operation of a modern high-performance CPU with 6 cores and 2 hardware threads per core.
Temperature is among the most important factors limiting CPU performance. To ensure stable and reliable operation temperature has to be limited. In this paper we present a method for predicting temperature of a multi-...
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Temperature is among the most important factors limiting CPU performance. To ensure stable and reliable operation temperature has to be limited. In this paper we present a method for predicting temperature of a multi-core microprocessor based on it's high-level thermal model. Temperature prediction is then utilised in a Dynamic Thermal Management algorithm that can exploit performance optimisation opportunities while ensuring operation below temperature limit. The DTM algorithm uses frequency and voltage scaling of the CPU cores and task migration and was evaluated on a physical computer with a quad-core CPU.
In the paper two approaches of parallelization for solving optimal control problems of ODE and index-1 DAE systems were presented and discussed. DAE Optimization Problem can be treated by Direct Nonlinear Programming ...
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In the paper two approaches of parallelization for solving optimal control problems of ODE and index-1 DAE systems were presented and discussed. DAE Optimization Problem can be treated by Direct Nonlinear Programming Approach in two manners, known as Sequential Approach and Simultaneous Approach. Simultaneous Approach seems to be more reliable, because provides initial states in periods and discretized control variables. Therefore there is a possibility of efficient use of Optimization with multiple shooting, which was developed to handle unstable DAE systems. In the article some parallelization methods of the Sequential Quadratic Programming were discussed and compared both in the Jacobian calculation and the numerical integration of DAE models. Augmented objective function, based on Mathematical Programming with Complementarity Constraints, was proposed. The illustrative simulations of Catalyst Mixing Problem were performed in MATLAB, which is a commonly known programming environment.
New generations of FPGA devices that are being continuously developed provide the designers with extended capabilities and create new options for implementation of contemporary ciphers. This work presents implementati...
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An original algorithm of locally optimal (w.r.t. the manipulability criterion) motion planning for manipulators is presented. It takes advantage of the Singular Value Decomposition algorithm to decompose the Jacobian ...
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Wheeled mobile platforms constitute an important group of robotic objects. They can be treated as independent robots or as a transportation part of a composite robotic assembly, for instance mobile manipulators. Depen...
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Wheeled mobile robots are most often assumed to be capable of rolling without slipping, and modeled as nonholonomic systems [3, 7, 19]. Such an assumption is far from realistic in practice. Since friction is the major...
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We study the approximation problem of Jacobian inverse kinematics algorithms for robotic manipulators. A novel variational formulation of the problem is explored in the context of the optimal approximation of the Jaco...
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The chapter is focused on the methods of network services exploitation. The approach is based on two streams of data: dependability factors and the features defined by the type of business service realized. The depend...
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