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A Decentralized Batch-Based Group Key Management Protocol for Mobile Internet of Things (DBGK)

Conference Proceeding
Abdmeziem, M. R., Tandjaoui, D., & Romdhani, I. (2015)
A Decentralized Batch-Based Group Key Management Protocol for Mobile Internet of Things (DBGK). In 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing (CIT/IUCC/DASC/PICOM), (1109-1117). https://doi.org/10.1109/cit/iucc/dasc/picom.2015.166
It is anticipated that constrained devices in the Internet of Things (IoT) will often operate in groups to achieve collective monitoring or management tasks. For sensitive and...

Performance Investigation of RPL Routing in Pipeline Monitoring WSNs

Conference Proceeding
Wadhaj, I., Gharebi, W., Al-Dubai, A., & Thomson, C. (2018)
Performance Investigation of RPL Routing in Pipeline Monitoring WSNs. In 20th {IEEE} International Conference on High Performance Computing and Communications; 16th {IEEE} International Conference on Smart City; 4th {IEEE} International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2018https://doi.org/10.1109/HPCC/SmartCity/DSS.2018.00178
The adoption of WSN and IEEE 802.15.4 standard for the linear WSN networks were assumed. The interconnection of WSNs with the Internet is possible by assigning IPv6 addresses ...

Urban data management system: Towards Big Data analytics for Internet of Things based smart urban environment using customized Hadoop

Journal Article
Babar, M., Arif, F., Jan, M. A., Tan, Z., & Khan, F. (2019)
Urban data management system: Towards Big Data analytics for Internet of Things based smart urban environment using customized Hadoop. Future Generation Computer Systems, 96, 398-409. https://doi.org/10.1016/j.future.2019.02.035
The unbroken amplfi cation of a versatile urban setup is challenged by huge Big Data processing. Understanding the voluminous data generated in a smart urban environment for d...

From the Virtual to the RealWorld: Referring to Objects in Real-World Spatial Scenes

Conference Proceeding
Gkatzia, D., Rieser, V., Bartie, P., & Mackaness, W. (2015)
From the Virtual to the RealWorld: Referring to Objects in Real-World Spatial Scenes. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 1936-1942. https://doi.org/10.18653/v1/d15-1224
Predicting the success of referring expressions (RE) is vital for real world applications such as navigation systems. Traditionally, research has focused on studying Referring...

A Game-Based Setup for Data Collection and Task-Based Evaluation of Uncertain Information Presentation

Conference Proceeding
Gkatzia, D., Cercas Curry, A., Rieser, V., & Lemon, O. (2015)
A Game-Based Setup for Data Collection and Task-Based Evaluation of Uncertain Information Presentation. In Proceedings of the 15th European Workshop on Natural Language Generation, 112-113. https://doi.org/10.18653/v1/w15-4720
Decision-making is often dependent on uncertain data, e.g. data associated with confidence scores, such as probabilities. A concrete example of such data is weather data. We w...

A Snapshot of NLG Evaluation Practices 2005 - 2014

Conference Proceeding
Gkatzia, D., & Mahamood, S. (2015)
A Snapshot of NLG Evaluation Practices 2005 - 2014. https://doi.org/10.18653/v1/w15-4708
In this paper we present a snapshot of endto-end NLG system evaluations as presented in conference and journal papers1 over the last ten years in order to better understand th...

Generating and Evaluating Landmark-Based Navigation Instructions in Virtual Environments

Conference Proceeding
Cercas Curry, A., Gkatzia, D., & Rieser, V. (2015)
Generating and Evaluating Landmark-Based Navigation Instructions in Virtual Environments. In Proceedings of the 15th European Workshop on Natural Language Generation, 90-94. https://doi.org/10.18653/v1/w15-4715
Referring to landmarks has been identified to lead to improved navigation instructions. However, a previous corpus study suggests that human “wizards” also choose to refer to ...

Comparing Multi-label Classification with Reinforcement Learning for Summarisation of Time-series Data

Conference Proceeding
Gkatzia, D., Hastie, H., & Lemon, O. (2014)
Comparing Multi-label Classification with Reinforcement Learning for Summarisation of Time-series Data. In Proceedings of the Conference Volume 1: Long Papers, 1231-1240. https://doi.org/10.3115/v1/p14-1116
We present a novel approach for automatic report generation from time-series data, in the context of student feedback generation. Our proposed methodology treats content selec...

Decrypting Live SSH Traffic in Virtual Environments

Journal Article
Mclaren, P., Russell, G., Buchanan, W. J., & Tan, Z. (2019)
Decrypting Live SSH Traffic in Virtual Environments. Digital Investigation, 29, 109-117. https://doi.org/10.1016/j.diin.2019.03.010
Decrypting and inspecting encrypted malicious communications may assist crime detection and prevention. Access to client or server memory enables the discovery of artefacts re...

Wattom: Ambient Eco-feedback with Mid-air Input

Conference Proceeding
Esteves, A., Quintal, F., Caires, F., Baptista, V., & Mendes, P. (2019)
Wattom: Ambient Eco-feedback with Mid-air Input. In 2019 5th Experiment International Conference (exp.at'19)https://doi.org/10.1109/EXPAT.2019.8876565
This paper presents Wattom, a highly interactive ambient eco-feedback smart plug that aims to promote a more sustainable use of electricity in the home. This paper describes o...