This paper focuses on the computation time and precision of a linear 2-D magnetic gear analytical model. Two main models of magnetic gears are studied: 1) the first with an infinite relative permeability of yokes and ...
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This paper focuses on the computation time and precision of a linear 2-D magnetic gear analytical model. Two main models of magnetic gears are studied: 1) the first with an infinite relative permeability of yokes and 2) the second with a finite relative permeability of yokes. These models are based on the subdomain resolution of Laplace and Poisson equations. To accurately compute the magnetic field distribution, it is necessary to take into account certain harmonics of the various rings and other system harmonics due to modulation. Global system harmonics, which increase the value of computation time, must also be taken into account. If the magnetic gear has a high pole number, then computation time increases even more and no longer allows for system optimization. This paper proposes to compute magnetic field distribution using different harmonic selection methods in order to significantly reduce the computation time for the magnetic torque without any loss of accuracy.
Digital Elevation Model (DEM) is data used for modeling water flow. DEM data is in the form of a grid with X and Y points as coordinates and Z representing the surface elevation. One of the challenges in modeling the ...
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This article presents a method which optimises the computation time for the prediction of a radio coverage, whatever the propagation model used. The principle consists in reducing the number of application points of t...
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This article presents a method which optimises the computation time for the prediction of a radio coverage, whatever the propagation model used. The principle consists in reducing the number of application points of the propagation model in relation to a classical technique. The proposed method is based on a multi resolution analysis of measured signals carried out around 2 GHz, and on an electromagnetic analysis of the propagation environment. The performances of the method are evaluated in term of reduction in computation time and of accuracy, in comparaison with the classical technique.
computation times of room acoustical simulation algorithms still suffer from the time consuming search for ray-wall-intersections. Spatial subdivision may speed up ray tracing considerably. For room acoustics, where t...
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computation times of room acoustical simulation algorithms still suffer from the time consuming search for ray-wall-intersections. Spatial subdivision may speed up ray tracing considerably. For room acoustics, where the number of surface polygons (walls) is not so high, the voxel technique appears suitable. The voxel crossing algorithm is very fast. However, its performance was not yet investigated up to now. Voxels are small cubes by which the space is subdivided periodically. The advantage: Only in the rare case a voxel intersects a wall the intersection point needs to be computed. In this paper, by estimating the probabilities of such intersections, an analytical formula is derived, by which the optimum degree of spatial subdivision and the factor of acceleration of the algorithm can be forecasted. It turns out that the computation time increases only with root K-0 instead of with K-0 (the number of polygons of the room). Thus, on a modern PC, computation time for a full room acoustical simulation even for highly complicated rooms may be reduced by a factor in the order of 100, i.e. to a few seconds. (c) 2006 Elsevier Ltd. All rights reserved.
The time performance of a systolic array implementation of an algorithm is measured by the product of two quantities: the number of systolic cycles required to complete the computations, n(sys), and the cycle time, t(...
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The time performance of a systolic array implementation of an algorithm is measured by the product of two quantities: the number of systolic cycles required to complete the computations, n(sys), and the cycle time, t(sys). Yet earlier works on systolic array synthesis have exclusively sought schedules that minimize n(sys), an approach justified only when the processors have a single functional unit. This paper deals with the general case of processors with multiple, possibly pipelined, functional units that operate concurrently and presents a method for the minimization of the actual computation time n(sys) x t(sys). The selection of a linear scheduling function which minimizes n(sys) x t(sys) is formulated as a combinatorial optimization problem, which is shown to have a bounded search space. An efficient branch-and-bound method for the solution of that problem is proposed and applied to several examples.
Building energy simulation programs are powerful tools which are increasingly used at the design stage, for the assessment of compliance with energy efficiency regulations and for integration into energy management sy...
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Building energy simulation programs are powerful tools which are increasingly used at the design stage, for the assessment of compliance with energy efficiency regulations and for integration into energy management systems. A wider scope, a higher level of detail of building and thermal systems and the trend towards the use of dynamic simulations in real time are making these programs more computationally demanding. In this context, this paper presents a study of the computational time reduction in thermal simulations of buildings by applying equation tearing methods. These methods are employed to construct subsets of equations that can be independently solved with lower computational cost. The study was conducted at seven typical heating, ventilation, and air conditioning facilities. The computation time has been evaluated in five-minute intervals during a one-year period. The average saving ratio in processing time was 4.4;ratios ranged from 1.9 to 7.1. (C) 2016 Elsevier B.V. All rights reserved.
To reduce computation time, a new approach for designing computer-generated holograms is proposed. In this new method, we utilize artificial neural networks to initiate the genetic algorithm, so that the high computat...
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To reduce computation time, a new approach for designing computer-generated holograms is proposed. In this new method, we utilize artificial neural networks to initiate the genetic algorithm, so that the high computation cost of genetic algorithms for synthesizing holograms is significantly reduced, while the high diffraction efficiency and uniformity are still ensured. Designed binary phase holograms have a diffraction efficiency of 75.8% and uniformity of 5.8%, which are proven in computer simulation and experimentally demonstrated. (C) 2004 Society or Photo-optical Instrumentation Engineers.
Microsimulation of infectious diseases requires simulation of many life histories of interacting individuals. In particular, relatively rare infections such as leprosy need to be studied in very large populations. Com...
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Microsimulation of infectious diseases requires simulation of many life histories of interacting individuals. In particular, relatively rare infections such as leprosy need to be studied in very large populations. computation time increases disproportionally with the size of the simulated population. We present a novel method, MUSIDH, an acronym for multiple use of simulated demographic histories, to reduce computation time. Demographic history refers to the processes of birth, death and all other demographic events that should be unrelated to the natural course of an infection, thus non-fatal infections. MUSIDH attaches a fixed number of infection histories to each demographic history, and these infection histories interact as if being the infection history of separate individuals. With two examples, mumps and leprosy, we show that the method can give a factor 50 reduction in computation time at the cost of a small loss in precision. The largest reductions are obtained for rare infections with complex demographic histories. (C) 2008 Elsevier Ireland Ltd. All rights reserved.
[ 1] This paper presents a method which optimizes the computation time for radio coverage prediction, whatever propagation model is used. The principle consists in reducing, in comparison with classical techniques, th...
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[ 1] This paper presents a method which optimizes the computation time for radio coverage prediction, whatever propagation model is used. The principle consists in reducing, in comparison with classical techniques, the number of application points of a propagation model. The proposed method is based on a multiresolution analysis of measured signals operating at 1.8 GHz and on an electromagnetic analysis of the propagation environment. The method is compared with a classical technique and is evaluated in terms of a reduction in computation time and of an increase in accuracy. Satisfactory results were obtained for microcells and small cells, and gains in computation time, with values close to 3 and 80, were achieved for scalar and vectorial models, respectively. As 90% of the estimation errors relating to the received signal level are less than 2.2 dB, a high level of accuracy was also assured.
This paper focuses on the computation time of evolutionary algorithms. First, some exact expressions of the mean first hitting times of general evolutionary algorithms in finite search spaces are obtained theoreticall...
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ISBN:
(纸本)1595930108
This paper focuses on the computation time of evolutionary algorithms. First, some exact expressions of the mean first hitting times of general evolutionary algorithms in finite search spaces are obtained theoretically by using the properties of Markov chain. Then, by introducing drift analysis and applying Dynkin's Formula, the general upper and lower bounds of the mean first hitting times of evolutionary algorithms are given rigorously under some mild conditions. These results obtained in this paper, and the analytic methods used in this paper, are widely valid for analyzing the computation are introduced.
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