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Urban function zoning is of great importance for urban structure optimization, urban resource allocation, and urban development planning. Since citizens usually act as a network of motion sensors of the city, their activities could reflect the environment around them. We considered taking advantage of VGI data to classify urban function zones. In this paper, we proposed a framework for automated urban...
China is a big textile and apparel producing country. She is facing much severer challenge and competition than before after joining the global economic system. The need of more professional talents is increasing in textile and apparel industry. At the same time, more and more new technology appears and digital technology is one of them. It brings new opportunity not only for apparel industry but...
This article presents a diverse and primary proof of one indifferent but subtle conclusion of OFDM channel estimation problem, that is, in frequency domain performance of CP-based channel estimation method can hardly surpass the conventional ones such as training-sequence-based methods. We get the conclusion and first give detailed proof that under LS principle when directly transform cyclic prefix...
The gray gradient co-occurrence matrix and BP neural network were presented about the issue of the recognition of oceanic internal waves in a MODIS remote sensing image. First, the gray gradient co-occurrence matrix was used to extract the texture features of internal waves. Second, the appropriate eigenvalues extracted were selected as components of the input vector of the BP neural network.. Third,...
In this paper, a pattern classification algorithm based on Mahalanobis space and its solving via second order cone programming were discussed. The method of selecting feature through Mahalanobis Taguchi System and integrating the Mahalanobis Taguchi System and Mahalanobis space learning machine for pattern classification were proposed. At last, an example of gear quality diagnosis was presented on...
Combining different machine learning models (decision fusion) has been shown to be an effective method for estimating the underlying physical mechanism by allowing the models to reinforce each other when consensus exists, or, conversely, negate each other when there is no consensus. To be effective, decision fusion requires that the different models provide some degree of complementary information...
Buyer-seller negotiation is an interactive process so that the outcome is not only determined by an agentpsilas own tactics but also influenced by his opponentpsilas choices. Therefore, retrieving the knowledge of the opponent to simulate the opponentpsilas possible actions can increase the payoffs. An ANN_based Opponentpsilas negotiation behavior model (OpNBM) is proposed. It consists of two basic...
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