A new Zigbee-based device for measuring visual reaction time in sport activities (2018)
Presentation / Conference Contribution
Ali, B. B., Dugas, É., Naceur, A., & Romdhani, I. (2017, May). A new Zigbee-based device for measuring visual reaction time in sport activities. Presented at 2017 International Conference on Engineering & MIS (ICEMIS)

There is a growing demand for smart tools and devices that measure visual reaction time during sports and physical activities in outdoor environments. However, one of the major problems is the need to maintain an on-time 1 pulse per second (pps) refe... Read More about A new Zigbee-based device for measuring visual reaction time in sport activities.

Self-Learning Power Control in Wireless Sensor Networks (2018)
Journal Article
Chincoli, M., & Liotta, A. (2018). Self-Learning Power Control in Wireless Sensor Networks. Sensors, 18(2), Article 375. https://doi.org/10.3390/s18020375

Current trends in interconnecting myriad smart objects to monetize on Internet of Things applications have led to high-density communications in wireless sensor networks. This aggravates the already over-congested unlicensed radio bands, calling for... Read More about Self-Learning Power Control in Wireless Sensor Networks.

Decentralized dynamic understanding of hidden relations in complex networks (2018)
Journal Article
Mocanu, D. C., Exarchakos, G., & Liotta, A. (2018). Decentralized dynamic understanding of hidden relations in complex networks. Scientific Reports, 8(1), https://doi.org/10.1038/s41598-018-19356-4

Almost all the natural or human made systems can be understood and controlled using complex networks. This is a difficult problem due to the very large number of elements in such networks, on the order of billions and higher, which makes it impossibl... Read More about Decentralized dynamic understanding of hidden relations in complex networks.

Leveraging multiple datasets for deep leaf counting (2018)
Presentation / Conference Contribution
Dobrescu, A., Giuffrida, M. V., & Tsaftaris, S. A. (2017, October). Leveraging multiple datasets for deep leaf counting. Presented at 2017 IEEE International Conference on Computer Vision Workshops (ICCVW), Venice, Italy

The number of leaves a plant has is one of the key traits (phenotypes) describing its development and growth. Here, we propose an automated, deep learning based approach for counting leaves in model rosette plants. While state-of-the-art results on l... Read More about Leveraging multiple datasets for deep leaf counting.

Leaf-based Routing Mechanism for Low-Power and Lossy Networks (2018)
Patent
Ghaleb, B., & Al-Dubai, A. (2018). Leaf-based Routing Mechanism for Low-Power and Lossy Networks. 1800668.4. Intellectual Property Office, UK

Unlike existing solutions, our invention provides a “Leaf-Based” mechanism for establishing the Downward routes in Low-Power and Lossy Networks (LLNs) that seeks to provide a novel, scalable and efficient routing solution for LLNs, which are the back... Read More about Leaf-based Routing Mechanism for Low-Power and Lossy Networks.

An approach to optimise resource provision with energy-awareness in datacentres by combating task heterogeneity. (2018)
Journal Article
Panneerselvam, J., Liu, L., & Antonopoulos, N. (2018). An approach to optimise resource provision with energy-awareness in datacentres by combating task heterogeneity. IEEE Transactions on Emerging Topics in Computing, https://doi.org/10.1109/TETC.2018.2794328

Cloud workloads are increasingly heterogeneous such that a single Cloud job may encompass one to several tasks, and tasks belonging to the same job may behave distinctively during their actual execution. This inherent task heterogeneity imposes incre... Read More about An approach to optimise resource provision with energy-awareness in datacentres by combating task heterogeneity..

Towards a Security Enabled and SOA-based QoS (for the Smart Grid) Architecture (2018)
Journal Article
Chrysoulas, C., & Pitropakis, N. (2018). Towards a Security Enabled and SOA-based QoS (for the Smart Grid) Architecture. EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 4(12), 153551. https://doi.org/10.4108/eai.10-1-2018.153551

QoS and Security features are playing an important role in modern network architecures. Dynamic selection of services and by extension of service providers are vital in today’s liberalized market of energy. On the other hand it is equally important f... Read More about Towards a Security Enabled and SOA-based QoS (for the Smart Grid) Architecture.

Resilience of Video Streaming Services to Network Impairments (2018)
Journal Article
Torres Vega, M., Perra, C., & Liotta, A. (2018). Resilience of Video Streaming Services to Network Impairments. IEEE Transactions on Broadcasting, 64(2), 220-234. https://doi.org/10.1109/tbc.2017.2781125

When dealing with networks, performance management through conventional quality of service (QoS)-based methods becomes difficult and is often ineffective. In fact, quality emerges as an end-to-end factor, for it is particularly sensitive to the end-u... Read More about Resilience of Video Streaming Services to Network Impairments.

An investigation into the impacts of task-level behavioural heterogeneity upon energy efficiency in Cloud datacentres (2018)
Journal Article
Panneerselvam, J., Liu, L., Lu, Y., & Antonopoulos, N. (2018). An investigation into the impacts of task-level behavioural heterogeneity upon energy efficiency in Cloud datacentres. Future Generation Computer Systems, 83, 239-249. https://doi.org/10.1016/j.future.2017.12.064

Cloud datacentre resources and the arriving jobs are addressed to be exhibiting increased level of heterogeneity. A single Cloud job may encompass one to several number of tasks, such tasks usually exhibit increased level of behavioural heterogeneity... Read More about An investigation into the impacts of task-level behavioural heterogeneity upon energy efficiency in Cloud datacentres.

CACA-UAN: a context-aware communication approach to efficient and reliable underwater acoustic sensor networks (2018)
Journal Article
Liu, Q., Chen, X., Liu, X., & Linge, N. (2018). CACA-UAN: a context-aware communication approach to efficient and reliable underwater acoustic sensor networks. International Journal of Sensor Networks, 26(1), 1. https://doi.org/10.1504/ijsnet.2018.088364

Underwater Acoustic Sensor Networks (UANs) have emerged as a promising technology recently which can be applied in many areas such as military and civil, where the communication between devices is crucial and challenging due to the unique characteris... Read More about CACA-UAN: a context-aware communication approach to efficient and reliable underwater acoustic sensor networks.

Cognitive Internet of Everything (CIoE): State of the Art and Approaches (2017)
Book Chapter
Jamnal, G. S., Liu, X., Fan, L., & Ramachandran, M. (2017). Cognitive Internet of Everything (CIoE): State of the Art and Approaches. In R. Mihajlovic, M. Ramachandran, R. Behringer, & P. Kocovic (Eds.), Emerging Trends and Applications of the Internet of Things; Advances in Wireless Technologies and Telecommunication (277-309). IGI Global. https://doi.org/10.4018/978-1-5225-2437-3.ch010

In today's world, we are living in busy metropolitan cities and want our homes to be ambient intelligent enough towards our cognitive requirements for assisted living in smart space environment and an excellent smart home control system should not re... Read More about Cognitive Internet of Everything (CIoE): State of the Art and Approaches.

Modeling and analysis of a deep learning pipeline for cloud based video analytics (2017)
Presentation / Conference Contribution
Yaseen, M. U., Anjum, A., & Antonopoulos, N. (2017, December). Modeling and analysis of a deep learning pipeline for cloud based video analytics. Presented at BDCAT '17: Fourth IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, Austin, Texas, USA

Video analytics systems based on deep learning approaches are becoming the basis of many widespread applications including smart cities to aid people and traffic monitoring. These systems necessitate massive amounts of labeled data and training time... Read More about Modeling and analysis of a deep learning pipeline for cloud based video analytics.

Blockchain and Git repositories for sticky policies protected OOXML. (2017)
Presentation / Conference Contribution
Spyra, G., Buchanan, W. J., & Ekonomou, E. (2017, November). Blockchain and Git repositories for sticky policies protected OOXML. Presented at FTC 2017 - Future Technologies Conference 2017

The paper discuss possible cloud-based
Information Rights Management (IRM) model extension with
enhanced accountability for both a sticky policy and an attached
data. This work compliments research on secure data sharing
with Office Open XML (OOX... Read More about Blockchain and Git repositories for sticky policies protected OOXML..

Fast Millimeter Wave Assisted Beam-Steering for Passive Indoor Optical Wireless Networks (2017)
Journal Article
Torres Vega, M., Koonen, A. M. J., Liotta, A., & Famaey, J. (2018). Fast Millimeter Wave Assisted Beam-Steering for Passive Indoor Optical Wireless Networks. IEEE Wireless Communications Letters, 7(2), 278-281. https://doi.org/10.1109/lwc.2017.2771771

In light of the extreme radio congestion, the time has come to consider the upper parts of the electromagnetic spectrum. Optical beam-steered wireless communications offer great potential for future indoor short-range connectivity, due to virtually u... Read More about Fast Millimeter Wave Assisted Beam-Steering for Passive Indoor Optical Wireless Networks.

Generalized proportional fair (GPF) scheduler for LTE-A (2017)
Presentation / Conference Contribution
Aramide, S. O., Barakat, B., Wang, Y., Keates, S., & Arshad, K. (2017, September). Generalized proportional fair (GPF) scheduler for LTE-A. Presented at 2017 9th Computer Science and Electronic Engineering (CEEC), Colchester, UK

The growth of wireless traffic and the demand for higher data rates motivated researchers around the world to enhance the Long Term Evolution-Advanced (LTE-A) performance. Recently, a considerable amount of the research had been done to optimise the... Read More about Generalized proportional fair (GPF) scheduler for LTE-A.

A virtual uneven grid-based routing protocol for mobile sink-based WSNs in a smart home system (2017)
Journal Article
Liu, X., & Liu, Q. (2018). A virtual uneven grid-based routing protocol for mobile sink-based WSNs in a smart home system. Personal and Ubiquitous Computing, https://doi.org/10.1007/s00779-017-1093-2

In a non-uniformly distributed network, the dataconcentrating centre equipped with sparse nodes rapidly depletes its battery energy due to the hotspot problem. To solve this problem, a Virtual Uneven Grid-based Routing protocol (VUGR) is proposed in... Read More about A virtual uneven grid-based routing protocol for mobile sink-based WSNs in a smart home system.

Head-mounted displays as opera glasses: using mixed-reality to deliver an egalitarian user experience during live events (2017)
Presentation / Conference Contribution
Bishop, C., Esteves, A., & McGregor, I. (2017, November). Head-mounted displays as opera glasses: using mixed-reality to deliver an egalitarian user experience during live events. Presented at Proceedings of the 19th ACM International Conference on Multimodal Interaction - ICMI 2017

This paper explores the use of head-mounted displays (HMDs) as a way to deliver a front row experience to any audience member during a live event. To do so, it presents a two-part user study that compares participants reported sense of presence acros... Read More about Head-mounted displays as opera glasses: using mixed-reality to deliver an egalitarian user experience during live events.

An applied pattern-driven corpus to predictive analytics in mitigating SQL injection attack (2017)
Presentation / Conference Contribution
Uwagbole, S. O., Buchanan, W. J., & Fan, L. (2017, September). An applied pattern-driven corpus to predictive analytics in mitigating SQL injection attack. Presented at 2017 Seventh International Conference on Emerging Security Technologies (EST)

Emerging computing relies heavily on secure back-end storage for the massive size of big data originating from the Internet of Things (IoT) smart devices to the Cloud-hosted web applications. Structured Query Language (SQL) Injection Attack (SQLIA) r... Read More about An applied pattern-driven corpus to predictive analytics in mitigating SQL injection attack.

An Energy-Efficiency Routing Scheme Based on Clusters with a Mobile Sink for WSNs (2017)
Presentation / Conference Contribution
Liu, X., & Liu, Q. (2017, June). An Energy-Efficiency Routing Scheme Based on Clusters with a Mobile Sink for WSNs. Presented at 3rd International Conference on Cloud Computing and Security (ICCCS 2017)

With the development of microelectronic devices and the radio, the application of WSN is more popular and can be applied in the various areas, which has attracted scholars. However, the requirements of performance for WSNs are becoming great in terms... Read More about An Energy-Efficiency Routing Scheme Based on Clusters with a Mobile Sink for WSNs.

Power Consuming Activity Recognition in Home Environment (2017)
Presentation / Conference Contribution
Liu, X., & Liu, Q. (2017, June). Power Consuming Activity Recognition in Home Environment. Presented at the 3rd International Conference on Cloud Computing and Security (ICCCS 2017)

This work proposed an activity recognition model which focus on the power con-suming activity in home environment, to help residents modify their behavior. We set the IoT system with lower number of sensors. The key data for identifying activity come... Read More about Power Consuming Activity Recognition in Home Environment.