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A distributed resource based collaborative workflow management system (BKMS) was proposed in the paper, which will greatly ensure the efficient of cooperation among partner enterprises. In the paper, enterprises and their partners construct a manufacturing grid framework, all the resources geographically distributed in different enterprise are all looked as "grid nodes". In order to perform...
In this paper, an optimized method is proposed for the design of fully integrated fractional-N PLL system. The main target is to get relatively small capacitor value for on chip low pass filter while satisfy the system phase noise requirement. The method is implemented in CMMB application whose output frequency of the PLL is from 1.88 to 3.48 GHz. With the VCO tuning gain varying from 50 to 100 MHz/V,...
Dual-modulus prescalers based on programmable injection-locked frequency dividers (ILFDs) are presented. With a multi-phase injection, variable division ratios are obtained by simply switching different number of input signals. Implemented in a 0.18 mum CMOS process, the 4/5 dual-modulus prescaler achieves an operating range of 1.8-6 GHz with 0.22 mW measured power consumption from a 1 V supply. Based...
K-Nearest Neighbors search (KNNS) in high-dimensional feature spaces is an important paradigm in pattern recognition. Existing centralized KNNS does not scale up to large volume of data because the response time is linearly increasing with the size of the searched file. In this article, an adaptive distributed A-nearest neighbor search algorithm (P2PAKNNS) for high dimension data is proposed to further...
The successful application of Grid and Web Service technologies to real-world problems, such as e-Science, requires not only the development of a common vocabulary and meta-data framework as the basis for interagent communication and service integration but also the access and use of a rich repository of domain-specific knowledge for problem solving. Both requirements are met by the respective outcomes...
The successful application of grid and Web service technologies to real-world problems, such as e-Science, requires not only the development of a common vocabulary and meta-data framework as the basis for inter-agent communication and service integration but also the access and use of a rich repository of domain-specific knowledge for problem solving. Both requirements are met by the respective outcomes...
K-nearest neighbor (KNNC) classifier is the most popular non-parametric classifier. But it requires much classification time to search k nearest neighbors of an unlabelled object point, which badly affects its efficiency and performance. In this paper, an adaptive k-nearest neighbors classifier (AKNNC) is proposed. The algorithm can find k nearest neighbors of the unlabelled point in a small hypersphere...
Given n data points in d-dimensional space, k nearest neighbors searching involves determining k nearest of these data points to a given query point. A depth-first adaptive kNN searching (DAKNNs) algorithm is proposed. The algorithm finds k nearest neighbors of the query point in a small hyperball in order to improve the efficiencies. It firstly determines the minimal radius rmin of the hyperball...
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