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Large-scale simulation of the thermal convection in the Earth's outer core is studied. Starting from a legacy parallel code using Aztec and MPI, two optimized codes have been developed based on the PETSc software package. The first version gains several times acceleration with the help of the block-Jacobi preconditioners and the well-optimized libraries provided in PETSc. The second version, aiming...
Based on elastic aircraft, time-domain continuous gust response analysis using rational function approximation technique and time-domain discrete gust response analysis using hybrid modeling technique are presented. Two gust alleviation control schemes are designed: (1) the feedback signals are gathered by pitch rate gyroscope and accelerometers, which are located at the tip of the wing and the centroid...
In this paper, we propose an agent-based model to analyze labor migrations within the framework of Active Brownian Particles (ABPs). The labors are regarded as Brownian agents, who make both intra- and inter-regional migrations depending on regional situations such as wage levels, cultural distance, tax rate and public welfare service. Intensive experiments have suggested that the emergences and dynamics...
Computer generated clouds are indispensable in virtual environments nowadays. This paper proposes a probability fields controlling cellular automata method. Creation of the probability fields adoptes fractional Brownian motion (fBm) which accords with the natural chaotic motion of particles and endows the results with realistic cloudy characteristics. We accelerate our simulation by running all the...
In digital earth based virtual environments representation of clouds from earth scale to small regional scale is characteristic but not addressed yet. Our methods integrate clouds of different scales and achieve seamless switch between them when view position changes. The paper uses an interactive physical based method to calculate density distribution of earth-scale clouds with initial conditions...
At present, the control of a dynamic system is generally done by means of feedback. This paper proposes a new method that use online SVR to achieve feedforward control for both linear and nonlinear plants. Online SVR is a new method when a new sample is added to (or removed from) the training set, it didn't need retraining from scratch for each new data point. Therefore, it is an efficient algorithm...
Measuring the reliability of ad hoc network with the approach of mathematic modeling usually needs a lot of assumptions, which not only cannot consider all kinds of reliability stochastic effect factors comprehensively, but also the computation is hard to proceed. Presently, measuring the reliability of ad hoc network with the approach of reliability simulation becomes current trend. This paper has...
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