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Outputs (166)

Embedded self-healing layer for detecting and recovering sensor faults in body sensor networks (2012)
Presentation / Conference Contribution
Galzarano, S., Fortino, G., & Liotta, A. (2012, October). Embedded self-healing layer for detecting and recovering sensor faults in body sensor networks. Presented at 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Seoul, South Korea

Wireless Body Sensor Networks (WBSNs) have proved to be a suitable technology for supporting the monitoring of physical and physiological activities of the human body. However, avoiding erroneous behavior of WBSN-based systems is an issue of fundamen... Read More about Embedded self-healing layer for detecting and recovering sensor faults in body sensor networks.

MaTSE: The microarray time-series explorer (2012)
Presentation / Conference Contribution
Craig, P., Cannon, A., Kukla, R., & Kennedy, J. (2012, October). MaTSE: The microarray time-series explorer. Presented at 2012 IEEE Symposium on Biological Data Visualization (BioVis)

This paper describes the design, development and evaluation of the Microarray Time-Series Explorer (MaTSE), a novel information visualization application for the exploratory analysis of large scale microarray timeseries data. The software combines a... Read More about MaTSE: The microarray time-series explorer.

OpenCache: exploring efficient and transparent content delivery mechanisms for video-on-demand (2012)
Presentation / Conference Contribution
Broadbent, M., & Race, N. (2012, December). OpenCache: exploring efficient and transparent content delivery mechanisms for video-on-demand. Presented at CoNEXT Student '12: Proceedings of the 2012 ACM conference on CoNEXT student workshop, Nice, France

Watching 'on-demand' video content is a popular activity facilitated by the Internet. Existing distribution methods typically rely on unicast flows to deliver this media. This can be inefficient if identical content is delivered at a later point in t... Read More about OpenCache: exploring efficient and transparent content delivery mechanisms for video-on-demand.

Engaging and influencing policy and the curriculum – the Scottish Information Literacy Project experience. (2012)
Book Chapter
Irving, C. (2012). Engaging and influencing policy and the curriculum – the Scottish Information Literacy Project experience. In C. Rankin, & A. Brock (Eds.), Library services for children and young people: Challenges and opportunities in the digital age (49-63). Facet

Library and information science (LIS) professionals support learning and teaching in a variety of ways, and this chapter focuses on information literacy (IL) and the key messages that it holds for engaging and influencing policy. It uses the Scottish... Read More about Engaging and influencing policy and the curriculum – the Scottish Information Literacy Project experience..

Building the bridges -- a proposal for merging different paradigms in mobile NFC ecosystem. (2012)
Presentation / Conference Contribution
Akram, R. N., Markantonakis, K., & Mayes, K. (2012, November). Building the bridges -- a proposal for merging different paradigms in mobile NFC ecosystem

In late 1990s. the multi-application initiative was put forward to have multiple applications on a single smart card. This would have enabled a cardholder to accumulate all of her smart card based applications (e.g. banking, telecom, and transport et... Read More about Building the bridges -- a proposal for merging different paradigms in mobile NFC ecosystem..

Efficient Rasterization for Edge-based 3D Object Tracking on Mobile Devices (2012)
Presentation / Conference Contribution
Kissling, E., Mitchell, K., Oskam, T., & Gross, M. (2012, November). Efficient Rasterization for Edge-based 3D Object Tracking on Mobile Devices. Presented at GRAPHInternational Conference on Computer Graphics and Interactive Techniques

Augmented reality applications on hand-held devices suffer from the limited available processing power. While methods to detect the location of artificially textured markers within the scene are commonly used, geometric properties of three-dimensiona... Read More about Efficient Rasterization for Edge-based 3D Object Tracking on Mobile Devices.

A nonlinear correlation measure for Intrusion Detection (2012)
Presentation / Conference Contribution
Ambusaidi, M., Lu, L. F., He, X., Tan, Z., Jamdagni, A., & Nanda, P. (2012, November). A nonlinear correlation measure for Intrusion Detection. Paper presented at The 7th International Conference on Frontier of Computer Science and Technology (FCST-12)

The popularity of using internet contains some risks of network attacks. It has attracted the attention of many researchers to overcome this problem. One of the effective ways that plays an important role to achieve higher security and protect networ... Read More about A nonlinear correlation measure for Intrusion Detection.

Towards OWL 2 Natively Supported Fuzzy Cloud Ontology (2012)
Presentation / Conference Contribution
Fang, D., Liu, X., Romdhani, I., & Zhao, H. (2012, July). Towards OWL 2 Natively Supported Fuzzy Cloud Ontology. Presented at 2012 IEEE 36th Annual Computer Software and Applications Conference Workshops

Cloud Computing introduces a revolutionary paradigm of computing to Service Oriented Architecture (SOA), by provisioning various types of computational resources and applications as on-demand services. While presenting cloud services semantically usi... Read More about Towards OWL 2 Natively Supported Fuzzy Cloud Ontology.

A Bayesian interpretation of the particle swarm optimization and its kernel extension (2012)
Journal Article
Andras, P. (2012). A Bayesian interpretation of the particle swarm optimization and its kernel extension. PLOS ONE, 7(11), Article e48710. https://doi.org/10.1371/journal.pone.0048710

Particle swarm optimization is a popular method for solving difficult optimization problems. There have been attempts to formulate the method in formal probabilistic or stochastic terms (e.g. bare bones particle swarm) with the aim to achieve more ge... Read More about A Bayesian interpretation of the particle swarm optimization and its kernel extension.