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Cluster Computing

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01-03-2015

Mobile, ubiquitous multimedia and digital convergence

Authors: Jonghun Kim, Jungmann Lee

Published in: Cluster Computing | Issue 1/2015

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Welcome to this special issue of Cluster Computing. This special issue contains a collection of best papers presented at the mobile ubiquitous multimedia convergence that are reviewed and accepted. This issue includes papers from researchers in academia along with professionals from different industries to share computing techniques, algorithms, solutions, and digital convergence, as well as their experiences. As such, we believe that this special issue will be comprehensive in solving problems in digital convergence as well as presentingmobile and cluster computing technologies. One of the challenges is processing multimedia data, cooperation, and analysis, in a ubiquitous environment. Therefore, modeling, algorithms, unstructured data, systems, and convergence solutions regarding digital convergence should be considered, including the following fundamental issues.

Cluster Computing and Solutions
Reconfigurable, Adaptable, and Reflective Approaches
Digital Convergence Solutions for Ubiquitous Computing
Multimedia Modeling, Analysis, Design and Management
Ubiquitous multimedia for Cluster Computing and Personal Area Networks
Digital Convergence for Services and Composition
Digital Convergence for Embedded Systems
Digital Convergence for Ubiquitous and Mobile
Digital Convergence for Grid Computing, Reliable, Fault Tolerance, and Quality-Of-Service
Digital Convergence support for Novel Communication Protocols and Architectures
Software Modeling, Development and Maintenance for Convergence
Methodologies and Tools for Designing, Implementing, Verifying, and Evaluating Systems

This special issue covers one of the hottest topics in mobile and ubiquitous multimedia and digital convergence. We believe that this special issue will have a high citation in the areas of Cluster Computing. …

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Park, J., Seong, D., Kim, H., Park, K., Lee, B., Yoo, J.: A data-centric storage scheme for high storage utilization in wireless sensor networks. Clust. Comput. (2014). doi:10.1007/s10586-014-0357-0

Cho, I., Park, M.: Technological-level evaluation using patent statistics: model and application in mobile communications. Clust. Comput. (2014). doi:10.1007/s10586-014-0368-x

Rho, M.J., Kim, H.S., Chung, K., Choi, I.Y.: Factors influencing the acceptance of telemedicine for diabetes management. Clust. Comput. (2014). doi:10.1007/s10586-014-0356-1

Nam, Y.: Designing interactive narratives for mobile augmented reality. Clust. Comput. (2014). doi:10.1007/s10586-014-0354-3

Baek, N., Yoo, K.H.: Emulating OpenGL ES 2.0 over the desktop OpenGL. Clust. Comput. (2014). doi:10.1007/s10586-014-0351-6

Jung, H., Yang, J., Woo, J.-I., Lee, B.-M., Ouyang, J., Chung, K., Lee, Y.: Evolutionary rule decision using similarity based associative chronic disease patients. Clust. Comput. (2014). doi:10.1007/s10586-014-0376-x

Ro, C.: Modeling and analysis of memory virtualization in cloud computing. Clust. Comput. (2014). doi:10.1007/s10586-014-0353-4

Seo, D., Jung, H., Sung, W.K., Kim, S., Lee, S.: Development of Korean spine database and ontology for realizing e-Spine. Clust. Comput. (2014). doi:10.1007/s10586-013-0344-x

Sawng, Y.H., Lee, J., Motohashi, K.: Digital convergence service from the viewpoint of provider and user factors using technology acceptance and diffusion model. Clust. Comput. (2014). doi:10.1007/s10586-014-0347-2

10.

Kim, T., Song, S.: Dynamic partition lock method to reduce transaction abort rates of cloud database. Clust. Comput. (2014). doi:10.1007/s10586-014-0387-7

11.

Do, L.N., Yang, H.J., Kim, S.H., Lee, G.S., Kim, S.H.: A multi-voxel-activity-based feature selection method for human cognitive states classification by functional magnetic resonance imaging data. Clust. Comput. (2014). doi:10.1007/s10586-014-0369-9

12.

Rosli, A.N., You, T.: Ha, I.; Chung, K.; Jo, G.S.: Alleviating the cold-start problem by incorporating movies facebook pages. Clust. Comput. (2014). doi:10.1007/s10586-014-0355-2

13.

Park, R.C., Jung, H., Shin, D.K., Kim, G.J., Yoon, K.H.: M2M-based smart health service for human UI/UX using motion recognition. Clust. Comput. (2014). doi:10.1007/s10586-014-0374-z

14.

Ha, O., Choi, B.L., Kim, Y., Kim, B., Lee, K.D.: Development of indicators of freight stations for digital convergence. Clust. Comput. (2014). doi:10.1007/s10586-014-0386-8

15.

Jung, H., Chung, K.: Sequential pattern profiling based bio-detection for smart health service. Clust. Comput. (2014). doi:10.1007/s10586-014-0370-3

Title: Mobile, ubiquitous multimedia and digital convergence
Authors: Jonghun Kim
Jungmann Lee
Publication date: 01-03-2015
Publisher: Springer US
Published in: Cluster Computing / Issue 1/2015
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI: https://doi.org/10.1007/s10586-014-0398-4

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