All Outputs (6)

Clinical and genomics data integration using meta-dimensional approach (2016)
Conference Proceeding
Subhani, M. M., Anjum, A., Koop, A., & Antonopoulos, N. (2016). Clinical and genomics data integration using meta-dimensional approach. In UCC '16 Proceedings of the 9th International Conference on Utility and Cloud Computinghttps://doi.org/10.1145/2996890.3007896

Clinical and genomics datasets contain humongous amount of information which are used in their respective environments independently to produce new science or better explain existing approaches. The interaction of data between these two domains is ve... Read More about Clinical and genomics data integration using meta-dimensional approach.

Spatial frequency based video stream analysis for object classification and recognition in clouds (2016)
Conference Proceeding
Yaseen, M. U., Anjum, A., & Antonopoulos, N. (2016). Spatial frequency based video stream analysis for object classification and recognition in clouds. In Proceedings of the 3rd IEEE/ACM conference on Big Data Computing, Applications and Technologieshttps://doi.org/10.1145/3006299.3006322

The recent rise in multimedia technology has made it easier to perform a number of tasks. One of these tasks is monitoring where cheap cameras are producing large amount of video data. This video data is then processed for object classification to ex... Read More about Spatial frequency based video stream analysis for object classification and recognition in clouds.

Mobilouds: An Energy Efficient MCC Collaborative Framework With Extended Mobile Participation for Next Generation Networks (2016)
Journal Article
Panneerselvam, J., Hardy, J., Liu, L., Yuan, B., & Antonopoulos, N. (2016). Mobilouds: An Energy Efficient MCC Collaborative Framework With Extended Mobile Participation for Next Generation Networks. IEEE Access, 4, 9129-9144. https://doi.org/10.1109/access.2016.2602321

Given the emergence of mobile cloud computing (MCC), its associated energy implications are witnessed at larger scale. With offloading computationally intensive tasks to the cloud datacentres being the basic concept behind MCC, most of the mobile ter... Read More about Mobilouds: An Energy Efficient MCC Collaborative Framework With Extended Mobile Participation for Next Generation Networks.

An efficient algorithm for partially matched services in internet of services (2016)
Journal Article
Ahmed, M., Liu, L., Hardy, J., Yuan, B., & Antonopoulos, N. (2016). An efficient algorithm for partially matched services in internet of services. Personal and Ubiquitous Computing, 20(3), 283-293. https://doi.org/10.1007/s00779-016-0917-9

Internet of Things (IoT) connects billions of devices in an Internet-like structure. Each device encapsulated as a real-world service which provides functionality and exchanges information with other devices. This large-scale information exchange res... Read More about An efficient algorithm for partially matched services in internet of services.

A socioecological model for advanced service discovery in machine-to-machine communication networks (2016)
Journal Article
Liu, L., Antonopoulos, N., Zheng, M., Zhan, Y., & Ding, Z. (2016). A socioecological model for advanced service discovery in machine-to-machine communication networks. ACM transactions on embedded computing systems, 15(2), Article 38. https://doi.org/10.1145/2811264

The new development of embedded systems has the potential to revolutionize our lives and will have a significant impact on future Internet of Thing (IoT) systems if required services can be automatically discovered and accessed at runtime in Machine-... Read More about A socioecological model for advanced service discovery in machine-to-machine communication networks.

Video stream analysis in clouds: An object detection and classification framework for high performance video analytics (2016)
Journal Article
Tariq, M., Anjum, A., Abdullah, T., Tariq, M. F., Baltaci, Y., & Antonopoulos, N. (2016). Video stream analysis in clouds: An object detection and classification framework for high performance video analytics. IEEE transactions on cloud computing, https://doi.org/10.1109/TCC.2016.2517653

Object detection and classification are the basic tasks in video analytics and become the starting point for other complex applications. Traditional video analytics approaches are manual and time consuming. These are subjective due to the very involv... Read More about Video stream analysis in clouds: An object detection and classification framework for high performance video analytics.