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In order to alleviate the negative effect of curse of dimensionality, band selection is a crucial step for hyperspectral image (HSI) processing. In this letter, we propose a novel unsupervised band selection approach to reduce the dimensionality for hyperspectral imagery. In order to obtain the most representative bands, the correlation matrix computed from the original HSI is used to describe the...
Precipitation prediction, such as short-term rainfall prediction, is a very important problem in the field of meteorological service. In practice, most of recent studies focus on leveraging radar data or satellite images to make predictions. However, there is another scenario where a set of weather features are collected by various sensors at multiple observation sites. The observations of a site...
The man-hour costing is the largest cost in the chemical plant design companies because the design processes are undertaken by the staff. The accurate man-hour forecasting can facilitate the design process control and the human resources scheduling optimization so as to cut the costs. This paper presents a framework, combining the Back Propagation (BP) Artificial Neural Network (ANN) and Genetic Algorithm...
This paper studies the encounter patterns and online connections of 76 users in an indoor location sharing and online interaction social network application, to seek underlying relationship between users' offline behaviors and online social behaviors. We create an indoor location and proximity-based mobile social network system called Find & Connect that collects and records current indoor location...
As the extension of the least significant bits (LSB) steganographic algorithm, steganographic algorithm embedding in two least-significant bits (Two-LSBs for short) has some characteristics, such as visual imperceptibility, higher capacity and easy realization. A new steganalysis method is introduced to detect the existence of hidden message that are randomly embedded in LSB and the second significant...
For the problem of soil moisture prediction, existing approaches in literature [M. Kashif et al., 2006; Y. Shao et al., 1997] usually utilize as many decision factors as possible, e.g. rainfall, solar irradiance, drainage, etc. However, the redundancy aspect of the decision factors has not been studied rigorously. Previous research work in data mining has shown that removing redundant features improves...
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