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313 results

Athos: An Extensible DSL for Model Driven Traffic and Transport Simulation

Conference Proceeding
Hoffmann, B., Urquhart, N., Chalmers, K., & Guckert, M. (2020)
Athos: An Extensible DSL for Model Driven Traffic and Transport Simulation
Multi-agent systems may be considered appropriate tools for simulating complex systems such as those based around traffic and transportation networks. Modelling traffic partic...

Active Learning for Interactive Audio-Animatronic Performance Design

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 Sensory Similarities Approach to Load Disaggregation of Charging Stations in Internet of Electric Vehicles

Journal Article
Liu, Q., Kamoto, K. M., Liu, X., Zhang, Y., Yang, Z., Khosravi, M. R., …Qi, L. (in press)
A Sensory Similarities Approach to Load Disaggregation of Charging Stations in Internet of Electric Vehicles. IEEE Sensors Journal, https://doi.org/10.1109/jsen.2020.3027684
Intelligent transportation systems (ITSs) have become popular in recent years as an essential requirement for safer and more efficient transportation systems. Internet of Elec...

A Fast Classification Approach to Upper-Limb Posture Recognition

Conference Proceeding
Wu, X., Jiang, Y., Liu, Q., Wu, H., & Liu, X. (in press)
A Fast Classification Approach to Upper-Limb Posture Recognition

A secure edge monitoring approach to unsupervised energy disaggregation using mean shift algorithm in residential buildings

Journal Article
Liu, Q., Nakoty, F. M., Wu, X., Anaadumba, R., Liu, X., Zhang, Y., & Qi, L. (2020)
A secure edge monitoring approach to unsupervised energy disaggregation using mean shift algorithm in residential buildings. Computer Communications, 162, 187-195. https://doi.org/10.1016/j.comcom.2020.08.024
Compared to Intrusive Load Monitoring which uses smart power meters at each level to be monitored, Non-Intrusive Load Monitoring (NILM) is an ingenious way that relies on sign...

Near-Data Prediction Based Speculative Optimization in a Distribution Environment

Journal Article
Liu, Q., Wu, X., Liu, X., Zhang, Y., & Hu, Y. (in press)
Near-Data Prediction Based Speculative Optimization in a Distribution Environment. Mobile Networks and Applications,

Monthly Precipitation Forecasts Using Wavelet Neural Networks Models in a Semiarid Environment

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), 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...

A mechanism to promote social behaviour in household load balancing

Conference Proceeding
Brooks, N. A., Powers, S. T., & Borg, J. M. (in press)
A mechanism to promote social behaviour in household load balancing. In Proceedings of the Artificial Life Conference 2020 (ALIFE 2020)
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...

A Survey of Error Analysis and Calibration Methods for MEMS Triaxial Accelerometers

Journal Article
Xiao, B., Jiang, Y., Liu, Q., Liu, X., & Sun, M. (2020)
A Survey of Error Analysis and Calibration Methods for MEMS Triaxial Accelerometers. Computers, Materials & Continua, 64(1), 389-399. https://doi.org/10.32604/cmc.2020.06092
MEMS accelerometers are widely used in various fields due to their small size and low cost, and have good application prospects. However, the low accuracy limits its range of ...

Automatic Generation of Adversarial Metamorphic Malware Using MAP-Elites

Conference Proceeding
Babaagba, K. O., Tan, Z., & Hart, E. (2020)
Automatic Generation of Adversarial Metamorphic Malware Using MAP-Elites. In Applications of Evolutionary Computation. EvoApplications 2020. , (117-132). https://doi.org/10.1007/978-3-030-43722-0_8
In the field of metamorphic malware detection, training a detection model with malware samples that reflect potential mutants of the malware is crucial in developing a model r...