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This paper presents two improved models based on the first-order multi-variable grey model (GM(1, N)) for forecasting the electricity demand. The first model named IGM1(1, N) is developed through the optimization of background value by Lagrange mean value theorem (LMVT). Another model named IGM2(1, N) is established through the calculation of its boundary value using least square method (LSM). Despite...
Wind power prediction has received much attention due to the development renewable energy sources using wind power. The paper presents a new approach which is a support vector regression (SVR) based local predictor (LP) with false neighbours filtered (FNF-SVRLP) to undertake short-term wind power perdition. The proposed predication method not only combines the powerful SVR with the reconstruction...
We present a new computational method for predicting ligand binding sites in protein sequences. The method uses kernelbased canonical correlation analysis and linear regression to identify binding sites in protein sequences as the residues that exhibit strong correlation between the residues' evolutionary characterization at the sites and the structure based functional classification of the proteins...
This paper presents a new approach to short-term wind speed prediction. The chaotic time series analysis method is used to capture the characteristic of complex wind behavior in which a correlation dimension method is employed to calculate embedding dimension of the time series, then a mutual information method is used to determine the time delay. Based on the embedding dimension and time delay, support...
In our previous studies, we have proposed a three-step haze removal technique (Haze detection, Haze perfection, Haze removal) to solve spatial varying haze contamination in multispectral satellite imagery, which was originally developed for individual hazy images. Haze detection step results in a Haze Thickness Index (HTI) image from the hazy image, Haze perfection step corrects spurious value in...
As it continues to develop, both socially and economically, Taiwan's industrial structure is evolving from “Made in Taiwan” into “Served by Taiwan.” Furthermore, the rapid growth of communication technology has made entrepreneurs confronted and immersed by much more tremendous amount of information than before. Thus, it can be perceived that assisting enterprises to acquire significant external knowledge...
The study is focused on the development of an automation platform performing data mining works on telemetry database for computer systems. Very common computer systems encounter failures in an unexpected manor. It is therefore valuable to have prognostics task for computer systems to minimize the situation of unexpected system failure. Data acquisition schemes employing telemetry techniques are considered...
Since the reform and opening up policy was launched in China in 1978, the society and economy of the southeastern coastal area of China (SCAC) has experienced rapid growth, and great changes have taken place in land-use structure. This paper analyzes the characteristics and major socio-economic driving forces of land-use change in Fuzhou, a typical city in SCAC, using remote sensing (RS) maps, geographic...
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