Sustainable HCI: Blending permaculture and user-experience (2017)
Presentation / Conference Contribution
Benyon, D., & Egan, C. (2017, June). Sustainable HCI: Blending permaculture and user-experience. Presented at DIS: Designing Interactive Systems, Edinburgh

For approximately 10 years the SIGCHI Sustainable HCI (sHCI) and Sustainable Interaction Design (SID) communities have debated the contribution that HCI can make to sustainability. However, there has been little real progress in the field with few, i... Read More about Sustainable HCI: Blending permaculture and user-experience.

AGADE-TRAFFIC: Multi-Agent Simulations in Geographical Networks (2017)
Presentation / Conference Contribution
Rotärmel, S., Farrenkopf, T., Guckert, M., & Urquhart, N. (2017, June). AGADE-TRAFFIC: Multi-Agent Simulations in Geographical Networks. Presented at Practical Applications of Agents and Multi-Agent Systems, Porto, Portugal

AGADE-TRAFFIC is a tool for simulating traffic flow in networks. Traffic participants are modelled as NetLogo agents and are visualised in a graphical user interface. Geographic information is stored in a graph database and AGADE-TRAFFIC communicates... Read More about AGADE-TRAFFIC: Multi-Agent Simulations in Geographical Networks.

Big data analytics in healthcare: A cloud based framework for generating insights (2017)
Book Chapter
Anjum, A., Aizad, S., Arshad, B., Subhani, M. M., Davies-Tagg, D., Abdullah, T., & Antonopoulos, N. (2017). Big data analytics in healthcare: A cloud based framework for generating insights. In N. Antonopoulos, & L. Gillam (Eds.), Cloud Computing (153-170). Springer. https://doi.org/10.1007/978-3-319-54645-2_6

With exabytes of data being generated from genome sequencing, a whole new science behind genomics big data has emerged. As technology improves, the cost of sequencing a human genome has gone down considerably increasing the number of genomes being se... Read More about Big data analytics in healthcare: A cloud based framework for generating insights.

InOt-RePCoN: Forecasting user behavioural trend in large-scale cloud environments (2017)
Journal Article
Panneerselvam, J., Liu, L., & Antonopoulos, N. (2018). InOt-RePCoN: Forecasting user behavioural trend in large-scale cloud environments. Future Generation Computer Systems, 80, 322-341. https://doi.org/10.1016/j.future.2017.05.022

Cloud Computing has emerged as a low cost anywhere anytime computing paradigm. Given the energy consumption characteristics of the Cloud resources, service providers are under immense pressure to reduce the energy implications of the datacentres. For... Read More about InOt-RePCoN: Forecasting user behavioural trend in large-scale cloud environments.

Efficient service discovery in decentralized online social networks (2017)
Journal Article
Yuan, B., Liu, L., & Antonopoulos, N. (2018). Efficient service discovery in decentralized online social networks. Future Generation Computer Systems, 86, 775-791. https://doi.org/10.1016/j.future.2017.04.022

Online social networks (OSN) have attracted millions of users worldwide over the last decade. There are a series of urgent issues faced by existing OSN such as information overload, single-point of failure and privacy concerns. The booming Internet o... Read More about Efficient service discovery in decentralized online social networks.

Robotic assistants for universal access (2017)
Presentation / Conference Contribution
Keates, S., & Kyberd, P. J. (2017, July). Robotic assistants for universal access. Presented at HCI International 2017, Vancouver Convention Centre, Vancouver, Canada

Much research is now focusing on how technology is moving away from the traditional computer to a range of smart devices in smart environments, the so-called Internet of Things. With this increase in computing power and decrease in form factor, we ar... Read More about Robotic assistants for universal access.

New trust metric for the RPL routing protocol (2017)
Presentation / Conference Contribution
Romdhani, I., Djedjig, N., Medjek, F., & Tandjaoui, D. (2017, April). New trust metric for the RPL routing protocol. Presented at 2017 8th International Conference on Information and Communication Systems (ICICS)

Establishing trust relationships between routing nodes represents a vital security requirement to establish reliable routing processes that exclude infected or selfish nodes. In this paper, we propose a new security scheme for the Internet of things... Read More about New trust metric for the RPL routing protocol.

Communicating Connected Components: Extending Plug-and-Play to Support Skeletons (2017)
Presentation / Conference Contribution
Chalmers, K., Kerridge, J., & Pedersen, J. B. (2016, August). Communicating Connected Components: Extending Plug-and-Play to Support Skeletons. Presented at Communicating Process Architectures 2016, Copenhagen, Denmark

For a number of years, the Communicating Process Architecture (CPA) community have developed languages and runtimes supporting message passing concurrency. For these we always provide a set of reusable processes called plug and play. These components... Read More about Communicating Connected Components: Extending Plug-and-Play to Support Skeletons.

Mango: A model-driven approach to engineering green Mobile Cloud Applications (2017)
Thesis
Chinenyeze, S. J. Mango: A model-driven approach to engineering green Mobile Cloud Applications. (Thesis). Edinburgh Napier University. http://researchrepository.napier.ac.uk/Output/976572

With the resource constrained nature of mobile devices and the resource abundant offerings of the cloud, several promising optimisation techniques have been proposed by the green computing research community. Prominent techniques and unique methods h... Read More about Mango: A model-driven approach to engineering green Mobile Cloud Applications.

Energy demand prediction through novel random neural network predictor for large non-domestic buildings (2017)
Presentation / Conference Contribution
Ahmad, J., Larijani, H., Emmanuel, R., Mannion, M., Javed, A., & Phillipson, M. (2017, April). Energy demand prediction through novel random neural network predictor for large non-domestic buildings. Presented at 2017 Annual IEEE International Systems Conference (SysCon), Montreal, QC, Canada

Buildings are among the largest consumers of energy in the world. In developed countries, buildings currently consumes 40% of the total energy and 51% of total electricity consumption. Energy prediction is a key factor in reducing energy wastage. Thi... Read More about Energy demand prediction through novel random neural network predictor for large non-domestic buildings.

Secure speech communication algorithm via DCT and TD-ERCS chaotic map (2017)
Presentation / Conference Contribution
Habib, Z., Khan, J. S., Ahmad, J., Khan, M. A., & Khan, F. A. (2017, April). Secure speech communication algorithm via DCT and TD-ERCS chaotic map. Presented at 2017 4th International Conference on Electrical and Electronic Engineering (ICEEE), Ankara, Turkey

Secure communication has always been a demanding area in civil, commercial and particularly in military set up. Robust and time-tested efficient algorithms are needed to have an essential privacy for speech transmission in the telephone networks, rad... Read More about Secure speech communication algorithm via DCT and TD-ERCS chaotic map.

Estimating 3D trajectories from 2D projections via disjunctive factored four-way conditional restricted Boltzmann machines (2017)
Journal Article
Mocanu, D. C., Bou Ammar, H., Puig, L., Eaton, E., & Liotta, A. (2017). Estimating 3D trajectories from 2D projections via disjunctive factored four-way conditional restricted Boltzmann machines. Pattern Recognition, 69, 325-335. https://doi.org/10.1016/j.patcog.2017.04.017

Estimation, recognition, and near-future prediction of 3D trajectories based on their two dimensional projections available from one camera source is an exceptionally difficult problem due to uncertainty in the trajectories and environment, high dime... Read More about Estimating 3D trajectories from 2D projections via disjunctive factored four-way conditional restricted Boltzmann machines.

Grid Routing: An Energy-Efficient Routing Protocol for WSNs with Single Mobile Sink (2017)
Journal Article
Liu, Q., Zhang, K., Liu, X., & Linge, N. (2017). Grid Routing: An Energy-Efficient Routing Protocol for WSNs with Single Mobile Sink. International Journal of Sensor Networks, 25(2), 1. https://doi.org/10.1504/ijsnet.2017.10007397

In a traditional wireless sensor network with static sinks, sensor nodes close to the sink run out of their batteries quicker than other nodes due to the increased data traffic towards the sink. These nodes with huge data traffic are easy to become... Read More about Grid Routing: An Energy-Efficient Routing Protocol for WSNs with Single Mobile Sink.

VANET aided D2D Discovery: Delay Analysis and Performance (2017)
Journal Article
Chour, H., Nasser, Y., Artail, H., Kachouh, A., & Al-Dubai, A. (2017). VANET aided D2D Discovery: Delay Analysis and Performance. IEEE Transactions on Vehicular Technology, 66(9), 8059-8071. https://doi.org/10.1109/TVT.2017.2690238

The proposed solutions in the literature for integrating Device-to-Device (D2D) communication in cellular networks require added functionalities and consume valuable network resources, mainly in the discovery process. Unlike existing solutions, this... Read More about VANET aided D2D Discovery: Delay Analysis and Performance.

Wireless Body Area Network (WBAN): A Survey on Reliability, Fault Tolerance, and Technologies Coexistence (2017)
Journal Article
Salayma, M., Al-Dubai, A., Romdhani, I., & Nasser, Y. (2017). Wireless Body Area Network (WBAN): A Survey on Reliability, Fault Tolerance, and Technologies Coexistence. ACM computing surveys, 50(1), Article 3. https://doi.org/10.1145/3041956

Wireless Body Area Network (WBAN) has been a key element in e-health to monitor bodies. This technology enables new applications under the umbrella of different domains, including the medical field, the entertainment and ambient intelligence areas. T... Read More about Wireless Body Area Network (WBAN): A Survey on Reliability, Fault Tolerance, and Technologies Coexistence.

Simultaneous Bayesian Clustering and Feature Selection Through Student’s ${t}$ Mixtures Model (2017)
Journal Article
Sun, J., Zhou, A., Keates, S., & Liao, S. (2018). Simultaneous Bayesian Clustering and Feature Selection Through Student’s ${t}$ Mixtures Model. IEEE Transactions on Neural Networks and Learning Systems, 29(4), 1187-1199. https://doi.org/10.1109/tnnls.2016.2619061

In this paper, we proposed a generative model for feature selection under the unsupervised learning context. The model assumes that data are independently and identically sampled from a finite mixture of Student?s t distributions, which can reduce th... Read More about Simultaneous Bayesian Clustering and Feature Selection Through Student’s ${t}$ Mixtures Model.

Securing the Internet of Things (2017)
Book
Romdhani, I. (2017). S. Li, & L. Da Xu (Eds.), Securing the Internet of Things. Elsevier

Key Features

Helps researchers and practitioners understand the security architecture in IoT and the state-of-the-art in IoT security countermeasures
Explores how the threats in IoT are different from traditional ad hoc or infrastructural network... Read More about Securing the Internet of Things.

BEFTIGRE: Behaviour-driven full-tier green evaluation of mobile cloud applications (2017)
Journal Article
Chinenyeze, S. J., Liu, X., & Al-Dubai, A. (2017). BEFTIGRE: Behaviour-driven full-tier green evaluation of mobile cloud applications. Journal of Software: Evolution and Process, 29(2), e1848. https://doi.org/10.1002/smr.1848

With the resource-constrained nature of mobile devices and the resource-abundant offerings of the cloud, several promising optimisation techniques have been proposed by the green computing research community. Prominent techniques and unique methods h... Read More about BEFTIGRE: Behaviour-driven full-tier green evaluation of mobile cloud applications.

An investigation of environmental influence on the benefits of adaptation mechanisms in evolutionary swarm robotics (2017)
Presentation / Conference Contribution
Steyven, A., Hart, E., & Paechter, B. (2017, July). An investigation of environmental influence on the benefits of adaptation mechanisms in evolutionary swarm robotics. Presented at Genetic and Evolutionary Computation Conference - GECCO '17

A robotic swarm that is required to operate for long periods in a potentially unknown environment can use both evolution and individual learning methods in order to adapt. However, the role played by the environment in influencing the effectiveness o... Read More about An investigation of environmental influence on the benefits of adaptation mechanisms in evolutionary swarm robotics.

An exploration of professional identity in the information technology sector (2016)
Thesis
Smith, S. An exploration of professional identity in the information technology sector. (Thesis). Edinburgh Napier University. http://researchrepository.napier.ac.uk/id/eprint/9731

At present the Information Technology profession appears to be dogged by high profile project failure, high graduate unemployment rates, employers unable to recruit suitable staff and a professional body under attack. It is not even clear that IT can... Read More about An exploration of professional identity in the information technology sector.