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Outputs (492)

Lightweight Reinforcement Learning for Energy Efficient Communications in Wireless Sensor Networks (2019)
Journal Article
Savaglio, C., Pace, P., Aloi, G., Liotta, A., & Fortino, G. (2019). Lightweight Reinforcement Learning for Energy Efficient Communications in Wireless Sensor Networks. IEEE Access, 7, 29355-29364. https://doi.org/10.1109/access.2019.2902371

High-density communications in wireless sensor networks (WSNs) demand for new approaches to meet stringent energy and spectrum requirements. We turn to reinforcement learning, a prominent method in artificial intelligence, to design an energy-preserv... Read More about Lightweight Reinforcement Learning for Energy Efficient Communications in Wireless Sensor Networks.

Application of Bluetooth Low Energy Beacons and Fog Computing for Smarter Environments in Emerging Economies (2019)
Presentation / Conference Contribution
Sun, M., Michael Kamoto, K., Liu, Q., Liu, X., & Qi, L. (2019). Application of Bluetooth Low Energy Beacons and Fog Computing for Smarter Environments in Emerging Economies.

The Internet of Things (IoT) has already begun to drastically alter the way people operate in various industries across the world, as well as how we interact with our environment. There is a lot of progress being made toward... Read More about Application of Bluetooth Low Energy Beacons and Fog Computing for Smarter Environments in Emerging Economies.

Near-Data Prediction Based Speculative Optimization in a Distribution Environment (2019)
Presentation / Conference Contribution
Sun, M., Wu, X., Jin, D., Xu, X., Liu, Q., & Liu, X. (2019). Near-Data Prediction Based Speculative Optimization in a Distribution Environment.

Apache Hadoop is an open source software framework that supports data-intensive distributed applications and is distributed under the Apache 2.0 licensing agreement, where consumers will no longer deal with complex configuration of softwar... Read More about Near-Data Prediction Based Speculative Optimization in a Distribution Environment.

Group-Based Expert Walkthroughs: How Immersive Technologies Can Facilitate the Collaborative Authoring of Character Animation (2020)
Presentation / Conference Contribution
Pan, Y., & Mitchell, K. (2020, March). Group-Based Expert Walkthroughs: How Immersive Technologies Can Facilitate the Collaborative Authoring of Character Animation. Presented at 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), Atlanta, GA, USA

Immersive technologies have increasingly attracted the attention of the computer animation community in search of more intuitive and effective alternatives to the current sophisticated 2D interfaces. The higher affordances offered by 3D interaction,... Read More about Group-Based Expert Walkthroughs: How Immersive Technologies Can Facilitate the Collaborative Authoring of Character Animation.

PoseMMR: A Collaborative Mixed Reality Authoring Tool for Character Animation (2020)
Presentation / Conference Contribution
Pan, Y., & Mitchell, K. (2020, March). PoseMMR: A Collaborative Mixed Reality Authoring Tool for Character Animation. Presented at 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), Atlanta, GA, USA

Augmented reality devices enable new approaches for character animation, e.g., given that character posing is three dimensional in nature it follows that interfaces with higher degrees-of-freedom (DoF) should outperform 2D interfaces. We present Pose... Read More about PoseMMR: A Collaborative Mixed Reality Authoring Tool for Character Animation.

PM2.5 Pollution: Health and Economic Effect Assessment Based on a Recursive Dynamic Computable General Equilibrium Model (2019)
Journal Article
Chen, K., Wang, G., Wu, L., Chen, J., Yuan, S., Liu, Q., & Liu, X. (2019). PM2.5 Pollution: Health and Economic Effect Assessment Based on a Recursive Dynamic Computable General Equilibrium Model. International Journal of Environmental Research and Public Health, 16(24), Article 5102. https://doi.org/10.3390/ijerph16245102

At present particulate matter (PM₂.₅) pollution represents a serious threat to the public health and the national economic system in China. This paper optimizes the whitening coefficient in a grey Markov model by a genetic algorithm, predicts the con... Read More about PM2.5 Pollution: Health and Economic Effect Assessment Based on a Recursive Dynamic Computable General Equilibrium Model.

PEDFLOW - A System for Modelling Pedestrian Movement Using occam (1999)
Presentation / Conference Contribution
Kerridge, J., & McNair, N. (1999). PEDFLOW - A System for Modelling Pedestrian Movement Using occam. In Proceedings of WoTUG-22: Architectures, Languages and Techniques for Concurrent Systems (1-18)

Road traffic modelling and simulation is currently, well provided with a variety of packages dealing with the minute detail of road layouts from single isolated junction models to complete network simulations. There has also been much work in develop... Read More about PEDFLOW - A System for Modelling Pedestrian Movement Using occam.

A mechanism to promote social behaviour in household load balancing (2020)
Presentation / Conference Contribution
Brooks, N. A., Powers, S. T., & Borg, J. M. (2020). A mechanism to promote social behaviour in household load balancing. In Proceedings of the Artificial Life Conference 2020 (ALIFE 2020) (95-103). https://doi.org/10.1162/isal_a_00290

Reducing the peak energy consumption of households is essential for the effective use of renewable energy sources, in order to ensure that as much household demand as possible can be met by renewable sources. This entails spreading out the use of hig... Read More about A mechanism to promote social behaviour in household load balancing.

Active Learning for Interactive Audio-Animatronic Performance Design (2020)
Journal Article
Castellon, J., Bächer, M., McCrory, M., Ayala, A., Stolarz, J., & Mitchell, K. (2020). Active Learning for Interactive Audio-Animatronic Performance Design. The Journal of Computer Graphics Techniques, 9(3), 1-19

We present a practical neural computational approach for interactive design of Audio-Animatronic® facial performances. An offline quasi-static reference simulation, driven by a coupled mechanical assembly, accurately predicts hyperelastic skin deform... Read More about Active Learning for Interactive Audio-Animatronic Performance Design.

Monthly Precipitation Forecasts Using Wavelet Neural Networks Models in a Semiarid Environment (2020)
Journal Article
Estévez, J., Bellido-Jiménez, J. A., Liu, X., & García-Marín, A. P. (2020). Monthly Precipitation Forecasts Using Wavelet Neural Networks Models in a Semiarid Environment. Water, 12(7), Article 1909. https://doi.org/10.3390/w12071909

Accurate forecast of hydrological data such as precipitation is critical in order to provide useful information for water resources management, playing a key role in different sectors. Traditional forecasting methods present many limitations due to t... Read More about Monthly Precipitation Forecasts Using Wavelet Neural Networks Models in a Semiarid Environment.

FaceMagic: Real-time Facial Detail Effects on Mobile (2020)
Presentation / Conference Contribution
Casas, L., Li, Y., & Mitchell, K. (2020). FaceMagic: Real-time Facial Detail Effects on Mobile. In SA '20: SIGGRAPH Asia 2020 Technical Communications (1-4). https://doi.org/10.1145/3410700.3425429

We present a novel real-time face detail reconstruction method capable of recovering high quality geometry on consumer mobile devices. Our system firstly uses a morphable model and semantic segmentation of facial parts to achieve robust self-calibrat... Read More about FaceMagic: Real-time Facial Detail Effects on Mobile.

Embodied online dance learning objectives of CAROUSEL + (2021)
Presentation / Conference Contribution
Mitchell, K., Koniaris, B., Tamariz, M., Kennedy, J., Cheema, N., Mekler, E., Van Der Linden, P., Herrmann, E., Hämäläinen, P., McGregor, I., Slusallek, P., & Mac Williams, C. (2021, March). Embodied online dance learning objectives of CAROUSEL +. Presented at 2021 IEEE VR 6th Annual Workshop on K-12+ Embodied Learning through Virtual and Augmented Reality (KELVAR), Lisbon, Portugal

This is a position paper concerning the embodied dance learning objectives of the CAROUSEL + 1 project, which aims to impact how online immersive technologies influence multiuser interaction and communication with a focus on dancing and learning danc... Read More about Embodied online dance learning objectives of CAROUSEL +.

When to (or not to) trust intelligent machines: Insights from an evolutionary game theory analysis of trust in repeated games (2021)
Journal Article
Han, T. A., Perrett, C., & Powers, S. T. (2021). When to (or not to) trust intelligent machines: Insights from an evolutionary game theory analysis of trust in repeated games. Cognitive Systems Research, 68, Article 111-124. https://doi.org/10.1016/j.cogsys.2021.02.003

The actions of intelligent agents, such as chatbots, recommender systems, and virtual assistants are typically not fully transparent to the user. Consequently , users take the risk that such agents act in ways opposed to the users' preferences or goa... Read More about When to (or not to) trust intelligent machines: Insights from an evolutionary game theory analysis of trust in repeated games.

Drawing Algorithms For Linear Diagrams (Supplementary) (2020)
Data
Chapman, P., & Sim, K. (2021). Drawing Algorithms For Linear Diagrams (Supplementary). [Dataset]. https://doi.org/10.17869/enu.2021.2748170

This folder contains the material to go with the article: Peter Chapman, Kevin Sim, Huanghao Chen (2021) Drawing Algorithms for Linear Diagrams. The code, the benchmark set of diagrams, the dataset of algorithms applied to the benchmark set, an... Read More about Drawing Algorithms For Linear Diagrams (Supplementary).

A hybrid CNN-LSTM model for predicting PM2.5 in Beijing based on spatiotemporal correlation (2021)
Journal Article
Ding, C., Wang, G., Zhang, X., Liu, Q., & Liu, X. (2021). A hybrid CNN-LSTM model for predicting PM2.5 in Beijing based on spatiotemporal correlation. Environmental and Ecological Statistics, 128(3), 503-522. https://doi.org/10.1007/s10651-021-00501-8

Long-term exposure to air environments full of suspended particles, especially PM2.5, would seriously damage people's health and life (i.e., respiratory diseases and lung cancers). Therefore, accurate PM2.5 prediction is important for the government... Read More about A hybrid CNN-LSTM model for predicting PM2.5 in Beijing based on spatiotemporal correlation.

Developing Visualisations to Enhance an Insider Threat Product: A Case Study (2021)
Presentation / Conference Contribution
Graham, M., Kukla, R., Mandrychenko, O., Hart, D., & Kennedy, J. (2021, October). Developing Visualisations to Enhance an Insider Threat Product: A Case Study. Presented at 2021 IEEE Symposium on Visualization for Cyber Security (VizSec), New Orleans, USA

This paper describes the process of developing data visualisations to enhance a commercial software platform for combating insider threat, whose existing UI, while perfectly functional, was limited in its ability to allow analysts to easily spot the... Read More about Developing Visualisations to Enhance an Insider Threat Product: A Case Study.

Parallel Programming Made Simple: Using Groovy Parallel Patterns (2021)
Book
Kerridge, J. (2021). Parallel Programming Made Simple: Using Groovy Parallel Patterns. Copenhagen: Bookboon.com

The use of the Groovy Parallel Patterns Library is described, using many diverse examples, showing how a parallel application can be easily created from existing sequential codes.

Towards a Declarative Approach to Constructing Dialogue Games (2021)
Presentation / Conference Contribution
Snaith, M., & Wells, S. (2021). Towards a Declarative Approach to Constructing Dialogue Games. In Proceedings of the 21st Workshop on Computational Models of Natural Argument (9-18)

In this paper we sketch a new approach to the development of dialogue games that builds upon the knowledge gained from several decades of dialogue game research across a variety of communities and which leverages the capabilities of the Dialogue Game... Read More about Towards a Declarative Approach to Constructing Dialogue Games.

Nature Inspired Optimisation for Delivery Problems: From Theory to the Real World (2022)
Book
Urquhart, N. (2022). Nature Inspired Optimisation for Delivery Problems: From Theory to the Real World. Cham: Springer. https://doi.org/10.1007/978-3-030-98108-2

This book explains classic routing and transportation problems and solutions, before offering insights based on successful real-world solutions. The chapters in Part I introduce and explain the traveling salesperson problem (TSP), vehicle routing pro... Read More about Nature Inspired Optimisation for Delivery Problems: From Theory to the Real World.