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This paper studies mathematician Paul Erdös, one of the most famous academic co-authors and his large co-author network. K-means and Self-Organizing feature Map (SOM) algorithms are applied to study the network. First, the SOM algorithm is introduced to recognize the pattern area number, which can identify the sub-segment automatically and export the central point of each cluster as well as the weights...
Bicolor water level gauge is the important equipment for industrial boiler. Machine recognition of water level image makes the traditional video monitoring system more intelligent. In this paper, the recognition algorithms such as improved BP neural network and feature matching are studied and compared. Experiments show that the recognition rate of latter approach is up to 100% with high identifying...
As the distributed multi-domain DWDM optical network has been advocated to be the next generation optical network, there is a pressing need to address the inter-domain RWA (Routing and wavelength assignment) problem. Thus, we propose a set of new inter-domain RWA schemes, including a MLP (Most leisure path) routing strategy based on the Hybrid abstraction and a ID-MU (Inter-domain most used) wavelength...
A major disruption may affect many network components and significantly lower the capacity of a network measured in terms of the maximum total flow among a set of source-destination pairs. Since only a subset of the failed components may be repaired at a time due to e.g., limited availability of repair resources, the network capacity can only be progressively increased over time by following a recovery...
We recently proposed an innovative agile crossbar switch architecture called contention-tolerant crossbar (CTC(N)) switch, which can tolerate output contentions by a pipelining mechanism, with pipeline stages implemented as buffers in the input ports. These buffers are used to decouple the scheduling task into N independent parts in such a way that N schedulers are located in the N input ports, and...
Mission-critical target detection imposes stringent performance requirements for wireless sensor networks, such as high detection probabilities and low false alarm rates. Data fusion has been shown as an effective technique for improving system detection performance by enabling efficient collaboration among sensors with limited sensing capability. Due to the high cost of network deployment, it is...
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