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Network virtualization has been proposed as a powerful vehicle for running multiple customized networks on a shared infrastructure. Virtual network embedding is a critical step for network virtualization that deals with efficient mapping of virtual nodes and virtual links onto the substrate network resources. Previous work in virtual network embedding primarily focused on designing heuristic algorithms...
Use the concept of stochastic flow network to describe transportation optimization problems upon logistic system. Select transportation reliability, transportation cost and time as objectives, build model of network flow optimization in logistic network. Take MPs as unit to build model, so model??s complexity is decreased. Use NSGA-II algorithm to solve built model and obtain the Pareto solutions...
A permutor is a critical component for the channel coding performance of turbo codes. Since the original joint permutor design for multiple turbo codes has disadvantages of large storage space and high computing complexity, it is not applicable at present. For this, this paper presents a new point-to-point joint permutor design algorithm, which only needs 2/N2 as large as storage space of the original...
Currently, a significant obstacle in identifying the most important factors that contribute to obesity is the lack of appropriate tools to evaluate food consumption and physical activity on a daily basis. This paper presents a novel video-based approach to estimating the energy intake and expenditure of individuals who are over-weight or obese. We propose to utilize a miniature video camera to chronically...
Since the structural conflicts in workflow processes can lead to malfunctioning of workflow management systems, the problem should be detected before workflow processes are put into execution. In this paper, we propose a combined graph-reduction and graph-search algorithm "CWRS" to verify workflow graphs. This algorithm reduces a cyclic workflow graph to an acyclic workflow graph, and then...
Clustering of binary fingerprints is used in the classification of gene expression data. It is known that the clustering of binary fingerprints with 3 bits of missing value is NP-hard. The greedy clique partition (GCP for short) algorithm is a heuristic algorithm used to clustering of binary fingerprints with missing values. In this paper, we firstly study the feature of instances which can not be...
This paper presents type-2 fuzzy sets (T2 FSs) to handle both fuzzy and random uncertainties in pattern recognition problems. We integrate T2 FSs with Markov processes (MPs) for speech recognition and handwritten Chinese character recognition. Experimental results show that T2 FSs can improve the classification performance in practical applications.
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