Outputs (650)

Decoupled Sampling-Based Motion Planning for Multiple Autonomous Marine Vehicles (2018)
Presentation / Conference Contribution
Volpi, N. C., Smith, S. C., Pascoal, A. M., Simetti, E., Turetta, A., Alibani, M., & Polani, D. (2018). Decoupled Sampling-Based Motion Planning for Multiple Autonomous Marine Vehicles. In OCEANS 2018 MTS/IEEE Charleston. https://doi.org/10.1109/oceans.2

There is increasing interest in the deployment and operation of multiple autonomous marine vehicles (AMVs) for a number of challenging scientific and commercial operational mission scenarios. Some of the missions, such as geotechnical surveying and 3... Read More about Decoupled Sampling-Based Motion Planning for Multiple Autonomous Marine Vehicles.

Make restaurants pay your server bills (2018)
Presentation / Conference Contribution
Grubenmann, T., Dell’Aglio, D., Bernstein, A., Moor, D., & Seuken, S. (2018). Make restaurants pay your server bills.

So far, the Web of Data (WoD) has only marginally considered the problem of financing itself. In most of the cases, research funds (either public or private) and donations are supporting the creation and maintenance of WoD services. Applying typical... Read More about Make restaurants pay your server bills.

hitchBOT Permanent Exhibition (2018)
Exhibition / Performance
Harris Smith, D., & Zeller, F. hitchBOT Permanent Exhibition. [Mixed]. Exhibited at Paderborn, Germany. 2018. (Unpublished)

An adaptive warning message scheme for emergency vehicles using vehicular ad hoc communication (2018)
Journal Article
Banikhalaf, M., Hammad, R., Al-Dubai, A. Y., & Ghaleb, B. (2018). An adaptive warning message scheme for emergency vehicles using vehicular ad hoc communication. International Journal of Engineering and Technology (IJET), 7(4), 3182-3189. https://doi.org/

Nowadays, traffic management has been a challenging task due to the growing number of vehicles. More specifically, operation management of Emergency Vehicles (EVs) such as ambulances, police force and fire fighting vehicles require extensive industri... Read More about An adaptive warning message scheme for emergency vehicles using vehicular ad hoc communication.

The US enters the war (2018)
Book Chapter
Donald, I. (2018). The US enters the war. In C. Lindsay (Ed.), . DCT Media & Co. Ltd

Their memory (2018)
Digital Artefact
Donald, I., & Houghton, E. (2018). Their memory. [VR experience]

Their Memory aims to explore how games design and technology can enhance documentary and storytelling techniques in engaging hard to reach audiences with wartime memories. Their Memory is a VR (Oculus Go/Oculus Rift) experience designed to engage... Read More about Their memory.

Visualising the Iolaire (2018)
Digital Artefact
Donald, I., & Robertson, I. (2018). Visualising the Iolaire. [Online Application]

Visualising the Iolaire is an AHRC Living Legacies 1914-18 project. Living Legacies 1914-18 provides communities with access to information, expertise and support for projects that explore the impacts that World War One had in Britain and Ireland, an... Read More about Visualising the Iolaire.

Finding the will to go on (2018)
Book Chapter
Donald, I. (2018). Finding the will to go on. In C. Lindsay (Ed.), First World War (132--133). DCT Media & Co. Ltd

Offloading Energy Efficiency with Delay Constraint for Cooperative Mobile Edge Computing Networks (2018)
Presentation / Conference Contribution
Vu, T. T., Huynh, N. V., Hoang, D. T., Nguyen, D. N., & Dutkiewicz, E. (2018). Offloading Energy Efficiency with Delay Constraint for Cooperative Mobile Edge Computing Networks. In 2018 IEEE Global Communications Conference (GLOBECOM). https://doi.org/10

We propose a novel edge computing network architecture that enables edge nodes to cooperate in sharing computing and radio resources to minimize the total energy consumption of mobile users while meeting their delay requirements. To find the optimal... Read More about Offloading Energy Efficiency with Delay Constraint for Cooperative Mobile Edge Computing Networks.

Reinforcement Learning Approach for RF-Powered Cognitive Radio Network with Ambient Backscatter (2018)
Presentation / Conference Contribution
Huynh, N. V., Hoang, D. T., Nguyen, D. N., Dutkiewicz, E., Niyato, D., & Wang, P. (2018). Reinforcement Learning Approach for RF-Powered Cognitive Radio Network with Ambient Backscatter. In 2018 IEEE Global Communications Conference (GLOBECOM). https://d

For an RF-powered cognitive radio network with ambient backscattering capability, while the primary channel is busy, the RF-powered secondary user (RSU) can either backscatter the primary signal to transmit its own data or harvest energy from the pri... Read More about Reinforcement Learning Approach for RF-Powered Cognitive Radio Network with Ambient Backscatter.