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Download Advances in Computational Science, Engineering and by José Raniery Ferreira Junior (auth.), Dhinaharan Nagamalai, PDF

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By José Raniery Ferreira Junior (auth.), Dhinaharan Nagamalai, Ashok Kumar, Annamalai Annamalai (eds.)

This ebook is the complaints of 3rd foreign convention on Computational technological know-how, Engineering and knowledge know-how (CCSEIT-2013) that used to be held in Konya, Turkey, on June 7-9. CCSEIT-2013 supplied a good foreign discussion board for sharing wisdom and ends up in conception, method and functions of computational technology, engineering and knowledge know-how. This booklet comprises learn effects, tasks, survey paintings and business reviews representing major advances within the box. different contributions accrued during this e-book hide 5 major components: algorithms, info constructions and purposes; instant and cellular networks; computing device networks and communications; typical language processing and data concept; cryptography and data security.

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Additional info for Advances in Computational Science, Engineering and Information Technology: Proceedings of the Third International Conference on Computational Science, Engineering and Information Technology (CCSEIT-2013), KTO Karatay University, June 7-9, 2013, Konya,Turk

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1 Dataset The UCSD traffic video database is used in this paper [7]. It consists of video sequences of daytime highway traffic in Seattle, Washington, totaling 20 minutes of video shots The traffic video shots were collected from a single stationary traffic camera over two days. , raining, overcast, and sunny). Each video shot has a color resolution of 320×240 pixels with 42 to 52 frames captured at 10 frames per second. Also, hand-labeled ground truth is provided that describes the amount of traffic congestion in each sequence.

The estimated motion of such traffics is nearly the same. Moreover, the estimated motion of heavy traffic with slight speed cannot be well classified from the medium traffic at reduced speed. Therefore, we propose to represent the content of a traffic video shot by appearance and texture in addition to motion. Hence, motion, appearance, and texture features of the content of traffic video shots are extracted. Features Based on Motion Motion estimation is the process of determining motion vectors that describe the transformation from one 2D image to another.

If we get a similarity scoreVi,j for a candidate keyword pair (Wi, Wj) successfully, we add a bidirectional semantic link with weight Vi,j for this candidate keyword pair to the multi-relational network. There are six measures of similarity and three measures of relatedness implemented in WordNet::Similarity package. We try different measures in our experiments and find that the simple Path measure produces the best results. More details about different measures’ influence on our MRN model are provided in the experiment section.

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