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Provisioning tasteful services in the Cloud that guarantees high quality of service with reduced hosting cost is challenging to achieve. There are two typical auto-scaling approaches: predictive and reactive. A prediction based controller leaves the system enough time to react to workload changes while a feedback based controller scales the system with better accuracy. In this paper, we show the limitations...
As it is well known, the bandwidth of a patch antenna will decrease with the decrease of antenna size, no matter what size reduction technique is adopted. In this letter, a detailed research on the shorting load, which is a traditional and effective size reduction technique for patch antennas, is done with the help of a transmission line (TL) model of the patch antenna, and a novel design of a coupled...
Internal faults in a wind driven generator can affect the quality of its output power, sometimes even the system's safety. However, the fault experiments are dangerous, thus this paper presents a Hardware-in-the-Loop (HIL) simulation system based on RT-LAB and DSP, which was applied to research the transient behavior of a doubly salient electro-magnetic wind power generator (DEWG) system and the control...
On account of the need of real-time monitor and alarm in smart grid, a new approach to ultra-real time intelligent computation of short circuit current is proposed. The extrapolation of grid state is conducted by ultra-short term load forecasting of nodes, and a short circuit current identification method based on GRNN is adopted to conduct the scan the short circuit current level of buses in short...
Support vector machine (SVM) is based on the statistical learning theory. It has recently been successfully used to solve nonlinear regression and time series problems and has been applied to predict values. The key problem of SVM is the choice of SVM parameters. Particle swarm optimization (PSO) algorithm has the ability of global optimization. This paper proposed an improved PSO algorithm based...
SaaS (Software as a Service), the new software application pattern has got wide attraction in both industry and academia. Multi-tenancy supporting is a big advantage of SaaS. However, current SaaS models and design/execution approaches cannot efficiently support simultaneous invocation by large amount of users of different tenants. To solve the problem, this paper proposes a new SaaS service execution...
Support Vector Machine (SVM) is a type of learning machine which has been proved to be available in solving the problems of nonlinear regression. The decision of SVM parameters is essential. In this paper a new SVM model based on particle swarm optimization (PSO) for parameter optimization has been proposed. PSO algorithm has extensive capability of global optimization. Once the PSO finds the optimal...
Monte Carlo Method has been proven very successful for non-linear and non-Gaussian estimation problems. However, a Monte Carlo filter usually has a lot of samples, which increase the computational load greatly. This paper presents threshold constraint into Monte Carlo. The target model is defined by the color information of the tracked object. Use the Bhattacharyya coefficient to get the similarity...
Conventional PI regular is a simple control method that is widely applied in permanent magnet synchronous motor (PMSM) control systems. However, in most cases, it cannot meet the requirements of high performance control. In order to improve system robustness and response, this paper adopts sliding mode variable structure control strategy in the design of a double-loop controller (speed loop and current...
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