This paper studies the characteristics of cloud computing environment, based on the traditional access control management technology, proposes a reference model for access control management in the cloud computing, de...
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Task assignment problem is one of the important research topics in a multi-agent system. It is desired to assign each task to a suited agent with a minimum total cost. For the advantages of memory, multi-character, lo...
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Cloud computing is setting off great changes in the IT industry. There are more and more researches on cloud computing. And this paper focuses on cloud computing too. At the beginning this paper describes the characte...
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Achieving autonomous navigation of indoor robots in a mapless environment is a long-standing research problem. Deep Reinforcement Learning (DRL) is widely used for robot navigation by virtue of learning through intera...
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Probability artificial neural network (PNN) and back propagation neural network (BPNN) are used in processing of the simulated data of heavy metals biosensors. The probability artificial neural network is used in patt...
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The matrix factorization algorithms such as the matrix factorization technique (MF), singular value decomposition (SVD) and the probability matrix factorization (PMF) and so on, are summarized and compared. Based on t...
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Fluid simulation is an important research topic since it is widely used in virtual training, education, computer games, and digital entertainment. Generating fluid simulation results with high degree of visual realism...
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How to ensure the security of important private data is the key problem in electric commerce. In this paper, we propose an elastic and distributed secret sharing scheme. The scheme improves the security of data and in...
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The knowledge structure of the enterprise in cluster causes the difference among cognitive perspectives. In order to overcome the deficiency that the existing researches couldn't describe well the knowledge struct...
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Time series classification has gained significant attention in the data mining field in recent years. Despite the proposal of numerous methods over the past decades, most of these approaches focus on feature extractio...
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