The configuration problem in manufacture is more complicated than most other fields. Therefore, the design of modeling and reasoning module for product configuration manager in manufacture is very important and comple...
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Untraceability is an important aspect of RFID security. A BRS-based approach for modeling RFID untraceability is provided in this paper. Elements in a RFID protocol can be represented as bigraphs, communications betwe...
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Untraceability is an important aspect of RFID security. A BRS-based approach for modeling RFID untraceability is provided in this paper. Elements in a RFID protocol can be represented as bigraphs, communications between elements can be represented as reaction rules. RFID untraceability can be represented as behavioral congruences. We take a RFID air interface protocol as a case study and show the usability of this approach.
The workflow model is the abstract expression of the workflow or the business process. Following the WfMC reference model, a PKI-based lightweight workflow model named as PBLW is put forward in this paper. The framewo...
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Extensive studies have shown that many complex diseases are influenced by interaction of certain genes, while due to the limitations and drawbacks of adopting logistic regression (LR) to detect epistasis in human Geno...
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Mobile ambients is a process calculus for modeling mobile agents in wide-area networks. It has important theoretical and practical values in studying concurrent and mobile computation as well as the security of intera...
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Essential graph is a graphical representation for Markov equivalence classes of Bayesian networks. Learning essential graph can avoid some problems in traditional Bayesian networks learning algorithms: (1) the number ...
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We propose a fast and simple application system of 3D model reconstruction. We acquire range images by using a combination of a regular camera and a depth sensor. The reconstruction of a 3D model consists of four key ...
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Clustering is an important data processing tool, which can be used to reveal the distribution structure of unfamiliar domain data, or as preprocess methods to magnify data object to accelerate subsequent processing or...
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As one of the most popular GNN architectures, the graph attention networks (GAT) is considered the most advanced learning architecture for graph representation and has been widely used in various graph mining tasks wi...
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Computer science labs in universities have different demands in cloud computing compared with typical IT companies. They differ greatly in software requirements and resource utilization. As an instance, we propose bui...
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