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Over the last decade, wind power penetration has increased substantially because of environmental considerations. With the integration of so much wind power generating capacity, system operators are facing the challenge of maintaining the stability of the power system. Use of the complex wind turbine (WT) model to analyze the steady-state operation and dynamic stability of the power system with high...
With the quickly changed trends of fashion and the shortened clothing product cycle, clothing enterprises often face the situation of urgent delivery period and heavy task. In order to meet the delivery period and business efficiency, enterprises must arrange for clothing production reasonably. Based on the actual constraints of clothing production, the paper set up the minimum number and the balance...
In personalized education theory, each learner has different behavioral characteristics. From this perspective, the biggest shortcoming of the Chinese learning website is that it couldn't reflect the individuality. Although some websites have classification of Chinese learners, most of them are based on the initial registration information. This paper proposes a grouping algorithm for Chinese learners...
Accurate grid resources prediction is crucial for a grid scheduler. In this study, support vector regression (SVR), which is an effective regression algorithm, is applied to grid resource prediction. In order to obtain better prediction performance, SVR's parameters must be selected carefully. Therefore, a particle swarm optimization-based SVR (PSO-SVR) model, in which PSO is used to determine free...
With the increasing development of information technology, the computer crime problem is getting even serious. However traditional computer forensic that employs the static investigation after security events has inherent limitations. The authenticity, effectiveness and timeliness of the evidence are difficult to meet real needs. In order to solve the existing problems which static forensics technology...
In order to manage the grid resources more effectively and provide a more suitable task scheduling strategy, the prediction information of grid resources is necessary in the grid system. In this study, support vector regression (SVR), which is a novel and effective regression algorithm, is applied to grid resource prediction. In order to build an effective SVR model, SVR's parameters must be selected...
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