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Building Scalable Cyber-Physical-Social Networking Infrastructure Using IoT and Low Power Sensors (2018)
Journal Article
Lenka, R. K., Rath, A. K., Tan, Z., Sharma, S., Puthal, D., Simha, N. V. R., Prasad, M., Raja, R., & Tripathi, S. S. (2018). Building Scalable Cyber-Physical-Social Networking Infrastructure Using IoT and Low Power Sensors. IEEE Access, 6, 30162-30173. https://doi.org/10.1109/ACCESS.2018.2842760

Wireless Sensors are an important component to develop the Internet of Things (IoT) Sensing infrastructure. There are enormous numbers of sensors connected with each other to form a network (well known as wireless sensor networks) to complete IoT Inf... Read More about Building Scalable Cyber-Physical-Social Networking Infrastructure Using IoT and Low Power Sensors.

Applications of Blockchain Within Healthcare. (2018)
Journal Article
Bell, L., Buchanan, W. J., Cameron, J., & Lo, O. (2018). Applications of Blockchain Within Healthcare. Blockchain in Healthcare Today,

There are several areas of healthcare and well-being that could be enhanced using blockchain technologies. These include device tracking, clinical trials, pharmaceutical tracing, and health insurance. Within device tracking, hospitals can trace their... Read More about Applications of Blockchain Within Healthcare..

Two Communities, One Topic: Exploring the British Reddit community split based on perceived biases (2018)
Presentation / Conference Contribution
Clavie, B., & Moradpoor, N. (2018, May). Two Communities, One Topic: Exploring the British Reddit community split based on perceived biases. Poster presented at 10th ACM Conference on Web Science, Amsterdam

This article explores a perceived bias between two British reddit communities dedicated to discussing British politics.We analyse the popular sources favoured by each community and study semantic indicators that would be indicative of a bias. Althoug... Read More about Two Communities, One Topic: Exploring the British Reddit community split based on perceived biases.

Detection of Algorithmically Generated Malicious Domain (2018)
Presentation / Conference Contribution
Agyepong, E., Buchanan, W., & Jones, K. (2018, May). Detection of Algorithmically Generated Malicious Domain. Presented at Computer Science & Information Technology

In recent years, many malware writers have relied on Dynamic Domain Name Services (DDNS) to maintain their Command and Control (C&C) network infrastructure to ensure a persistence presence on a compromised host. Amongst the various DDNS techniques, D... Read More about Detection of Algorithmically Generated Malicious Domain.

A Domain-Specific Language For Routing Problems (2018)
Presentation / Conference Contribution
Hoffmann, B., Guckert, M., Farrenkopf, T., Chalmers, K., & Urquhart, N. (2018, May). A Domain-Specific Language For Routing Problems. Presented at 32nd Conference on Modelling and Simulation

Vehicle Routing Problems (VRPs) are commonly used as benchmark optimisation problems and they also have many applications in industry. Using agent-based approaches to solve VRPs allows the analysis of dynamic VRP instances that incorporate congestion... Read More about A Domain-Specific Language For Routing Problems.

Expanding the Child Visitor Experience – mixing realities in a contemporary sculpture park (2018)
Presentation / Conference Contribution
Hall, L., Flint, T., & Mitsche, N. (2018, May). Expanding the Child Visitor Experience – mixing realities in a contemporary sculpture park. Paper presented at 2nd International Research Symposium in Tourism Hospitality & Events

This research considers how the visitor experience could be enhanced through intertwining and blending the real and virtual, creating a new mixed reality that extended and added to the destination. We discuss work undertaken with Jupiter Artland, a c... Read More about Expanding the Child Visitor Experience – mixing realities in a contemporary sculpture park.

A method for electric load data verification and repair in home environment (2018)
Journal Article
Liu, Q., Li, S., Liu, X., & Linge, N. (2018). A method for electric load data verification and repair in home environment. International Journal of Embedded Systems, 10(3), 248-256. https://doi.org/10.1504/ijes.2018.091788

Home energy management (HEM) and smart home have been popular among people; HEM collects and analyses the electric load data to make the power use safe, reliable, economical, efficient and environmentally friendly. Without the correct data, the corre... Read More about A method for electric load data verification and repair in home environment.

On-Line Building Energy Optimization Using Deep Reinforcement Learning (2018)
Journal Article
Mocanu, E., Mocanu, D. C., Nguyen, P. H., Liotta, A., Webber, M. E., Gibescu, M., & Slootweg, J. G. (2019). On-Line Building Energy Optimization Using Deep Reinforcement Learning. IEEE Transactions on Smart Grid, 10(4), 3698-3708. https://doi.org/10.1109/tsg.2018.2834219

Unprecedented high volumes of data are becoming available with the growth of the advanced metering infrastructure. These are expected to benefit planning and operation of the future power systems and to help customers transition from a passive to an... Read More about On-Line Building Energy Optimization Using Deep Reinforcement Learning.

A survey on rainfall forecasting using artificial neural network (2018)
Journal Article
Liu, Q., Zou, Y., Liu, X., & Linge, N. (2019). A survey on rainfall forecasting using artificial neural network. International Journal of Embedded Systems, 11(2), 240-249. https://doi.org/10.1504/ijes.2018.10016095

Rainfall has a great impact on agriculture and people’s daily travel, so accurate prediction of precipitation is well worth studying for researchers. Traditional methods like numerical weather prediction (NWP) models or statistical models can’t provi... Read More about A survey on rainfall forecasting using artificial neural network.

Detection and prevention of Black Hole Attacks in IOT & WSN (2018)
Presentation / Conference Contribution
Ali, S., Khan, M. A., Ahmad, J., Malik, A. W., & ur Rehman, A. (2018, April). Detection and prevention of Black Hole Attacks in IOT & WSN. Presented at 2018 Third International Conference on Fog and Mobile Edge Computing (FMEC), Barcelona, Spain

Wireless Sensor Network is the combination of small devices called sensor nodes, gateways and software. These nodes use wireless medium for transmission and are capable to sense and transmit the data to other nodes. Generally, WSN composed of two typ... Read More about Detection and prevention of Black Hole Attacks in IOT & WSN.

Analysis: Building the Future of EU: Moving Forward with International Collaboration on Blockchain (2018)
Journal Article
Buchanan, B., & Naqvi, N. (2018). Analysis: Building the Future of EU: Moving Forward with International Collaboration on Blockchain. The Journal of the British Blockchain Association, 1(1), 1-4

A blockchain enabled 'Digital Single Economy " can act as a catalyst for growth and could provide a platform where borderless innovative practices will thrive and create a true collaborative global economy, with shared goals and objectives for the be... Read More about Analysis: Building the Future of EU: Moving Forward with International Collaboration on Blockchain.

Forensics study of IMO call and chat app. (2018)
Journal Article
Sudozai, M., Saleem, S., Buchanan, W. J., Habib, N., & Zia, H. (2018). Forensics study of IMO call and chat app. Digital Investigation, https://doi.org/10.1016/j.diin.2018.04.006

Smart phones often leave behind a wealth of information that can be used as an evidence during an investigation. There are thus many smart phone applications that employ encryption to store and/or transmit data, and this can add a layer of complexity... Read More about Forensics study of IMO call and chat app..

A Review of Predictive Quality of Experience Management in Video Streaming Services (2018)
Journal Article
Torres Vega, M., Perra, C., De Turck, F., & Liotta, A. (2018). A Review of Predictive Quality of Experience Management in Video Streaming Services. IEEE Transactions on Broadcasting, 64(2), 432-445. https://doi.org/10.1109/tbc.2018.2822869

Satisfying the requirements of devices and users of online video streaming services is a challenging task. It requires not only managing the network quality of service but also to exert real-time control, addressing the user's quality of experience (... Read More about A Review of Predictive Quality of Experience Management in Video Streaming Services.

Drizzle Algorithm (2018)
Report
Ghaleb, B., Al-Dubai, A., Romdhani, I., & Qasem, M. (2018). Drizzle Algorithm. USA: IETF

Trickle algorithm used in RPL routing protocol suffers from some issues related to power, network convergence time and overhead and
load-distribution. To optimize this algorithm for Low-power and Lossy Networks (LLNs), a new algorithm called Dr... Read More about Drizzle Algorithm.

Eidolon 360 – a VR experience (2018)
Presentation / Conference Contribution
Hood, B., & Flint, T. (2018, March). Eidolon 360 – a VR experience. Presented at Tangible Embedded Interaction 2018. TEI Arts

Art piece displayed at the ACM International Conference on Tangible, Embedded and Embodied Interaction (TEI) exhibition.

https://tei.acm.org/2018/

Lightweighted and energy-aware MIKEY-Ticket for e-health applications in the context of internet of things (2018)
Journal Article
Abdmeziem, M. R., Tandjaoui, D., & Romdhani, I. (2018). Lightweighted and energy-aware MIKEY-Ticket for e-health applications in the context of internet of things. International Journal of Sensor Networks, 26(4), 227. https://doi.org/10.1504/ijsnet.2018.090462

E-health applications have emerged as a promising approach to provide unobtrusive and customizable support to elderly and frail people based on their situation and circumstances. However, due to limited resources available in such systems and data pr... Read More about Lightweighted and energy-aware MIKEY-Ticket for e-health applications in the context of internet of things.

Machine learning and semantic analysis of in-game chat for cyber bullying (2018)
Journal Article
Murnion, S., Buchanan, W. J., Smales, A., & Russell, G. (2018). Machine learning and semantic analysis of in-game chat for cyber bullying. Computers and Security, 76, 197-213. https://doi.org/10.1016/j.cose.2018.02.016

One major problem with cyberbullying research is the lack of data, since researchers are traditionally forced to rely on survey data where victims and perpetrators self-report their impressions. In this paper, an automatic data collection system is p... Read More about Machine learning and semantic analysis of in-game chat for cyber bullying.

Automatic Generation of Constructive Heuristics for Multiple Types of Combinatorial Optimisation Problems with Grammatical Evolution and Geometric Graphs (2018)
Presentation / Conference Contribution
Stone, C., Hart, E., & Paechter, B. (2018, April). Automatic Generation of Constructive Heuristics for Multiple Types of Combinatorial Optimisation Problems with Grammatical Evolution and Geometric Graphs. Presented at 21st International Conference, EvoApplications 2018, Parma, Italy

In many industrial problem domains, when faced with a combinatorial optimisation problem, a “good enough, quick enough” solution to a problem is often required. Simple heuristics often suffice in this case. However, for many domains, a simple heurist... Read More about Automatic Generation of Constructive Heuristics for Multiple Types of Combinatorial Optimisation Problems with Grammatical Evolution and Geometric Graphs.

Evaluating the Performance of an Evolutionary Tool for Exploring Solution Fronts (2018)
Presentation / Conference Contribution
Urquhart, N. (2018, April). Evaluating the Performance of an Evolutionary Tool for Exploring Solution Fronts. Presented at EvoApplications 2018

EvoFilter is an evolutionary algorithm based tool for searching through large non-dominated fronts in order to find a subset of solutions that are of interest to the user. EvoFilter is designed to take the output of existing Multi Objective Evolutio... Read More about Evaluating the Performance of an Evolutionary Tool for Exploring Solution Fronts.