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We introduce a shape synthesis approach especially for functional hybrid creation that can be potentially used by a human operator under a certain pose. Shape synthesis by reusing parts in existing models has been an active research topic in recent years. However, how to combine models across different categories to design multi-function objects remains challenging, since there is no natural correspondence...
Computational awareness (CA) is proposed to give awareness capability to a machine. For implementing CA, a direct way is to simulate human awareness. Since tacit knowledge is an important component for human awareness, this work tries to give a brief introduction of the current research topics. First, several consensuses that have been achieved are identified. Then we identify three research topics,...
An integrated model of Cellular Automata (CA) and Agent is proposed based on the research on the recent study of CA model and Agent model on simulation of urban land use change. This model makes a fusion of CA model's self-organization and Agent model's flexible computing. And a system of urban land use simulation is developed based on the model. The system makes three simulations under different...
This paper first developed an integrated model of urban land use changing using cellular automata (CA) and agent technique. In this model, every cell not only has the current state information of the cell, but also has the land use changing related information such as policy and natural condition information; the agents with different roles are used to process the information contained in the cell...
In order to establish a collaborative decision making environment for scientists, we proposed an original approach to integrate remote sensing data and remote sensing analysis tools based on Web Service and GRID. The proposed framework consists of four tiers and provides three level services. Firstly, the analysis of RS information sharing is made with data resource sharing, computing resource sharing...
DiffServ model is a main model that guarantees QoS in modern-Large-scale network., On the basis of RIO-C, the paper introduces an Active Queue Management algorithm -- PFRIO that is suitable for DiffServ model. The algorithm increases the fair for bandwidth allocation and the network's capacity to hand of sudden data flow, and improves the overall performance of DiffServ model effectively.
The classical Bayes decision theory [3] is the foundation of statistical pattern recognition. In [4], we have addressed the issue of non-uniform error criteria in statistical pattern recognition, and generalized the Bayes decision theory for pattern recognition tasks where errors over different classes have varying degrees of significance. We further introduced the weighted minimum classification...
The problem of overlapping clustering, where a point is allowed to belong to multiple clusters, is becoming increasingly important in a variety of applications. In this paper, we present an overlapping clustering algorithm based on multiplicative mixture models. We analyze a general setting where each component of the multiplicative mixture is from an exponential family, and present an efficient alternating...
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