Outputs (498)

Using a task classification in the visualisation design process for task understanding and abstraction: an empirical study (2018)
Presentation / Conference Contribution
Kerracher, N., Kennedy, J., & Chalmers, K. (2018, June). Using a task classification in the visualisation design process for task understanding and abstraction: an empirical study. Presented at Eurographics Conference on Visualization (EuroVis)

Task classifications are widely purported to be useful in the design process, with various suggestions having been made for their use at the different stages. However, little has been written regarding the actual use of task classifications in these... Read More about Using a task classification in the visualisation design process for task understanding and abstraction: an empirical study.

An Edge-Based Architecture to Support Efficient Applications for Healthcare Industry 4.0 (2018)
Journal Article
Pace, P., Aloi, G., Gravina, R., Caliciuri, G., Fortino, G., & Liotta, A. (2019). An Edge-Based Architecture to Support Efficient Applications for Healthcare Industry 4.0. IEEE Transactions on Industrial Informatics, 15(1), 481-489. https://doi.org/10.1109/tii.2018.2843169

Edge computing paradigm has attracted many interests in the last few years as a valid alternative to the standard cloud-based approaches to reduce the interaction timing and the huge amount of data coming from Internet of Things (IoT) devices toward... Read More about An Edge-Based Architecture to Support Efficient Applications for Healthcare Industry 4.0.

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.

From Faces to Outdoor Light Probes (2018)
Journal Article
Calian, D. A., Lalonde, J., Gotardo, P., Simon, T., Matthews, I., & Mitchell, K. (2018). From Faces to Outdoor Light Probes. Computer Graphics Forum, 37(2), 51-61. https://doi.org/10.1111/cgf.13341

Image‐based lighting has allowed the creation of photo‐realistic computer‐generated content. However, it requires the accurate capture of the illumination conditions, a task neither easy nor intuitive, especially to the average digital photography en... Read More about From Faces to Outdoor Light Probes.

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.

Empowerment and embodiment for collaborative mixed reality systems: Empowerment and Embodiment (2018)
Journal Article
Pan, Y., Sinclair, D., & Mitchell, K. (2018). Empowerment and embodiment for collaborative mixed reality systems: Empowerment and Embodiment. Computer Animation and Virtual Worlds, 29(3-4), https://doi.org/10.1002/cav.1838

We present several mixed‐reality‐based remote collaboration settings by using consumer head‐mounted displays. We investigated how two people are able to work together in these settings. We found that the person in the AR system will be regarded as th... Read More about Empowerment and embodiment for collaborative mixed reality systems: Empowerment and Embodiment.

The Privacy and Security Implications of Open Data in Healthcare: A Contribution from the IMIA Open Source Working Group (2018)
Journal Article
Kobayashi, S., Kane, T., & Paton, C. (2018). The Privacy and Security Implications of Open Data in Healthcare: A Contribution from the IMIA Open Source Working Group. IMIA Yearbook of Medical Informatics, https://doi.org/10.1055/s-0038-1641201

Objective: The International Medical Informatics Association (IMIA) Open Source Working Group (OSWG) initiated a group discussion to discuss current privacy and security issues in the open data movement in the healthcare domain from the perspective o... Read More about The Privacy and Security Implications of Open Data in Healthcare: A Contribution from the IMIA Open Source Working Group.

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.

Compressed Animated Light Fields with Real-time View-dependent Reconstruction (2018)
Journal Article
Koniaris, C., Kosek, M., Sinclair, D., & Mitchell, K. (2019). Compressed Animated Light Fields with Real-time View-dependent Reconstruction. IEEE Transactions on Visualization and Computer Graphics, 25(4), 1666-1680. https://doi.org/10.1109/tvcg.2018.2818156

We propose an end-to-end solution for presenting movie quality animated graphics to the user while still allowing the sense of presence afforded by free viewpoint head motion. By transforming offline rendered movie content into a novel immersive repr... Read More about Compressed Animated Light Fields with Real-time View-dependent Reconstruction.

Visualizing ALC Using Concept Diagrams (2018)
Presentation / Conference Contribution
Stapleton, G., Delaney, A., Compton, M., & Chapman, P. (2018). Visualizing ALC Using Concept Diagrams. . https://doi.org/10.1007/978-3-319-78102-0_6

This paper addresses the problem of how to visualize axioms from ALC using concept diagrams. We establish that 66.4% of OWL axioms defined for ontologies in the Manchester corpus are formulated over ALC, demonstrating the significance of considering... Read More about Visualizing ALC Using Concept Diagrams.

Evaluating the Performance of an Evolutionary Tool for Exploring Solution Fronts (2018)
Presentation / Conference Contribution
Urquhart, N. (2018). Evaluating the Performance of an Evolutionary Tool for Exploring Solution Fronts. In Applications of Evolutionary Computation (523-537). https://doi.org/10.1007/978-3-319-77538-8_36

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.

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.

On the performance of the hybridisation between migrating birds optimisation variants and differential evolution for large scale continuous problems (2018)
Journal Article
Voß, S., Segredo, E., Lalla-Ruiz, E., Hart, E., & Voss, S. (2018). On the performance of the hybridisation between migrating birds optimisation variants and differential evolution for large scale continuous problems. Expert Systems with Applications, 102, 126-142. https://doi.org/10.1016/j.eswa.2018.02.024

Migrating Birds Optimisation (mbo) is a nature-inspired approach which has been shown to be very effective when solving a variety of combinatorial optimisation problems. More recently, an adaptation of the algorithm has been proposed that enables it... Read More about On the performance of the hybridisation between migrating birds optimisation variants and differential evolution for large scale continuous problems.

The institutional approach for modeling the evolution of human societies (2018)
Journal Article
Powers, S. T. (2018). The institutional approach for modeling the evolution of human societies. Artificial Life, 24(1), 10-28. https://doi.org/10.1162/ARTL_a_00251

Artificial Life is concerned with understanding the dynamics of human societies. A defining feature of any society is its institutions. However, defining exactly what an institution is has proven difficult, with authors often talking past each other.... Read More about The institutional approach for modeling the evolution of human societies.

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.

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.

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.