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By Hongmei Chen, Tianrui Li, Chuan Luo, Junbo Zhang (auth.), Fuchun Sun, Tianrui Li, Hongbo Li (eds.)

These complaints current technical papers chosen from the 2012 overseas convention on clever structures and information Engineering (ISKE 2012), hung on December 15-17 in Beijing. the purpose of this convention is to compile specialists from assorted fields of craftsmanship to debate the cutting-edge in clever structures and information Engineering, and to offer new findings and views on destiny advancements. The complaints introduce present clinical and technical advances within the fields of man-made intelligence, laptop studying, development acceptance, info mining, wisdom engineering, details retrieval, info conception, knowledge-based structures, wisdom illustration and reasoning, multi-agent platforms, and natural-language processing, and so forth. moreover they contain papers on new clever computing paradigms, which mix new computing methodologies, e.g., cloud computing, provider computing and pervasive computing with conventional clever equipment. via offering new methodologies and practices, the complaints will gain either researchers and practitioners who are looking to make the most of clever equipment of their particular fields.
Dr. Fuchun solar is a professor on the division of machine technological know-how & expertise, Tsinghua college, China. Dr. Tianrui Li is a professor on the college of knowledge technological know-how & know-how, Southwest Jiaotong collage, Chengdu, China. Dr. Hongbo Li additionally works on the division of computing device technological know-how & know-how, Tsinghua collage, China.

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Extra info for Knowledge Engineering and Management: Proceedings of the Seventh International Conference on Intelligent Systems and Knowledge Engineering, Beijing, China, Dec 2012 (ISKE 2012)

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In this paper, we consider bandwidth as a variable to minimize the tasks transferring time for data intensive applications. ). In cloud environment, there are some tasks schedulers that consider task types, priorities, and their dependencies to schedule tasks in optimal way considering their specific VM’s resources. In our proposed system, we design a schedulers’ blackboard, where all cloud schedulers (which manage VMs on clouds (see Fig. 1)) share their information about VMs, their features, and their tasks.

2, from (a) to (b) are the second dimension of the original signal and the measurements of sensor 3. Sensor 3 has measurements only when the sampling points are multiple of 3. It can be seen that the measurements are corrupted by noises. Figure 3 shows the state estimations of the position dimension. From Fig. 3 (a) through (d) are the estimations generated by use of KF, NKF, SFKF, and NSFKF, respectively. For comparison, the estimations are shown in blue dotted line, while the original signal is shown in the red real line.

Keywords Fingerprint recognition Orientation field quality measurement Nonlinear diffusion filtering Á Á Frequency map Á Image 1 Introduction In fingerprint recognition systems, efficient algorithms of fingerprint feature extraction and matching play most important roles [1, 2]. Due to the various reasons, the captured fingerprint images are often degraded and have blurred and M. com X. com F. Sun et al. 1007/978-3-642-37832-4_5, Ó Springer-Verlag Berlin Heidelberg 2014 43 44 M. Li and X. Chen Fig.

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