Advances in Multimedia, Software Engineering and Computing by Hanxiang Wu (auth.), David Jin, Sally Lin (eds.) PDF

By Hanxiang Wu (auth.), David Jin, Sally Lin (eds.)

ISBN-10: 3642259855

ISBN-13: 9783642259852

ISBN-10: 3642259863

ISBN-13: 9783642259869

MSEC2011 is an built-in convention concentrating its concentration upon Multimedia, software program Engineering, Computing and schooling. within the continuing, you could examine even more wisdom approximately Multimedia, software program Engineering ,Computing and schooling of researchers all over the global. the most function of the continuing is for use as an alternate pillar for researchers who're operating within the pointed out box. with the intention to meet excessive commonplace of Springer, AISC sequence ,the association committee has made their efforts to do the next issues. first of all, negative caliber paper has been refused after reviewing path by way of nameless referee specialists. Secondly, periodically evaluation conferences were held round the reviewers approximately 5 occasions for changing reviewing feedback. eventually, the convention association had a number of initial classes earlier than the convention. via efforts of alternative humans and departments, the convention could be winning and fruitful.

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Extra resources for Advances in Multimedia, Software Engineering and Computing Vol.2: Proceedings of the 2011 MSEC International Conference on Multimedia, Software Engineering and Computing, November 26–27, Wuhan, China

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To process Big Data more efficiently and intelligently, new algorithm was proposed. Big Data was represented with RDFs; schema of data was transformed into Finite Semantic Graph. Using Map/Reduce computing model, reasoning algorithm was designed to process mass data. Query was also transformed into Finite Semantic Graph, and semantic matched with full graph. Experiment has shown that algorithm is effective. Keywords: big data, semantic, map/reduce. 1 Introduction Big Data [1] is not new concept, which was talked about again and again by Bill Inmon in 1990s.

Gray Level Co-occurrence Matrix. As a 2nd-order descriptor, GLCM is a matrix or distribution that is defined over an image to be the distribution of co-occurring values at a given offset. Mathematically, a co-occurrence matrix C is defined over an n × m image I, parameterized by an offset δ(Δx,Δy), as: n m ⎧1, if I ( p, q ) = i and I ( p + Δx, q + Δy ) = j Cδ ( Δx ,Δy ) (i, j ) = ∑ ∑ ⎨ otherwise p =1 q =1 ⎩ 0, (1) As can be seen from Eq. (1), for a L-grayscale image, C is a L×L matrix. In our experiment, the input image is compressed to 8 grayscales.

Switch quantity is a corresponding value that controls relay connection or disconnection. Switch quantity input is the detection element connecting channel which outputs in the form of the Switch quantity. The signal which can reflect the process is converted into the digital signal that a CPU unit can receive. Specific control uses 74LS165. The clock controls 8 switch states, and then puts them into the microcontroller. Considering the anti-interference, the optical coupler can be used for achieving signal isolation before inputting the shift register circuit.

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Advances in Multimedia, Software Engineering and Computing Vol.2: Proceedings of the 2011 MSEC International Conference on Multimedia, Software Engineering and Computing, November 26–27, Wuhan, China by Hanxiang Wu (auth.), David Jin, Sally Lin (eds.)


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