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Relevance Vector Machine (RVM) is one of the ‘state-of-the-art’ approaches for classification which exploits the probabilistic Bayesian learning frame work. Compared with the classical Support Vector Machine (SVM), RVM avoids the problem of parameter setting while learning and offers probabilistic outputs. These make RVM more suitable for real applications. In this paper, we have employed the DDAG...
In this paper, we propose a new reversible data hiding scheme for images compressed by Block Truncation Coding (BTC). The original image is divided into n × n sized non-overlapping blocks and encoded by BTC to obtain the BTC-compressed bitstream. Each block is presented by a low mean value, a high mean value and a binary bitmap. The proposed scheme exploits the correlation among adjacent blocks and...
Construction simulation and traffic simulation are complementary to successful planning of microtunneling and pipe-jacking operations in urban areas. With increasing concerns on sustainable development, it is imperative to integrate construction engineering and traffic engineering in simulation modeling in order to plan for efficient site operations while reducing the impact of construction upon traffic...
This paper takes the typical multi-storey determinant residential area of Harbin as the research object, makes an analysis of existing problems through the residential sunlight environment simulation, and proposes the optimized environment strategies from the aspects of building distance, building height and building facade styles. This paper also provides the basic analysis data to improve the quality...
This article summarizes that the function of the predicting scope of the polygonal area of collapse in the mine goaf in WebGIS by VML with the algorithm of a parallel line on a broken line, for the current complexity of the algorithm and the limitation of the scope of application are not high, and accomplish the feature to show collapse range of mine goaf in WebGIS by VML. This kind of predicting...
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