By Ming-hui Wu, Fan-wei Zhu (auth.), Qi Luo (eds.)
This quantity comprises revised and prolonged study articles written by way of favourite researchers engaging in WNIS 2009 convention. subject matters coated comprise instant info Networks, instant Networking applied sciences, cellular software program and companies, clever computing, community administration, strength engineering, keep an eye on engineering, sign and photo Processing, laptop studying, regulate structures and purposes, The publication will provide the states of arts of great advances in instant Networks and data platforms and in addition function a superb reference paintings for researchers and graduate scholars engaged on instant Networks and data Systems.
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The International Journal of Bank Marketing 22(2), 144–157 (2004) 3. : The antecedents of service quality and product quality and their influences on bank reputation: evidence from the banking industry in China. Managing Service Quality 13(1), 72–83 (2003) 4. : A comparison of Service Quality in the banking industry. International Journal of Bank Marketing 23(7), 508–526 (2005) 5. : Measuring Service Quality: A Reexamination and Extension. Journal of Marketing 56(3), 55–68 (1992) 6. : Assessing the Determination of Consumer Behavioral Intentions in Service Environments: An Investigation of A Comprehensive Model of the Effects of Quality, Value, and Satisfaction.
Using WordNet-based Context Vectors to Estimate the Semantic Relatedness of Concepts. In: Proceedings of the EACL Workshop on Making Sense of Sense: Bringing Computational Linguistics and Psycholinguistics Together, Trento, Italy, pp. 1–8 (April 2006) 18. : A New Measure of Word Semantic Similarity based on WordNet Hierarchy and DAG Theory. In: WISM 2009 (2009) 19. : An Improved Semantic Similarity Measure for Word Pairs. In: IC4E 2010, Sanya, China (January 2010) (in press) 20. : Measure semantic similarity in WordNet.
4 illustrates the comparison of the Peak Signal Noise Ratio (PSNR) with the varied bit rates. The PSNR is defined as follow: PSNR = 10 log10 2552 × 2562 256 256 ∑∑ [ g ( x, y) − gest ( x, y)]2 . (8) x =1 y =1 From Fig. 4, we can see that the PSNRs of the IRLR are slightly higher than those of the STC for all four test images, especially for the image ‘Sailboat’. Fig. 27). We can conclude from Fig. 5 that there is no obvious difference between the IRLC and the STC in respect of the reconstructed quality.