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Outputs (833)

Robotic sound-source localisation architecture using cross-correlation and recurrent neural networks (2009)
Journal Article
Murray, J. C., Erwin, H. R., & Wermter, S. (2009). Robotic sound-source localisation architecture using cross-correlation and recurrent neural networks. Neural Networks, 22(2), 173-189. https://doi.org/10.1016/j.neunet.2009.01.013

In this paper we present a sound-source model for localising and tracking an acoustic source of interest along the azimuth plane in acoustically cluttered environments, for a mobile service robot. The model we present is a hybrid architecture using c... Read More about Robotic sound-source localisation architecture using cross-correlation and recurrent neural networks.

On the lifetime of wireless sensor networks (2009)
Journal Article
Dietrich, I., & Dressler, F. (2009). On the lifetime of wireless sensor networks. ACM Transactions on Sensor Networks, 5(1), Article ARTN 5. https://doi.org/10.1145/1464420.1464425

Network lifetime has become the key characteristic for evaluating sensor networks in an application-specific way. Especially the availability of nodes, the sensor coverage, and the connectivity have been included in discussions on network lifetime. E... Read More about On the lifetime of wireless sensor networks.

Quantum recurrent neural networks for filtering (2009)
Thesis
Ahamed, W. U. Quantum recurrent neural networks for filtering. (Thesis). University of Hull. https://hull-repository.worktribe.com/output/4209270

The essence of stochastic filtering is to compute the time-varying probability densityfunction (pdf) for the measurements of the observed system. In this thesis, a filter isdesigned based on the principles of quantum mechanics where the schrodinger w... Read More about Quantum recurrent neural networks for filtering.

A language for failure patterns and application in safety analysis (2008)
Presentation / Conference Contribution
Wolforth, I., Walker, M., & Papadopoulos, Y. A language for failure patterns and application in safety analysis. Presented at 2008 Third International Conference on Dependability of Computer Systems DepCoS-RELCOMEX

Components and families of components in mechatronic systems often exhibit failure characteristics that are independent of system context and repeatable across applications. In this paper, we show that it is possible to capture and reuse such pattern... Read More about A language for failure patterns and application in safety analysis.

Semi automatic failure analysis based on simulation models (2008)
Presentation / Conference Contribution
Hamann, R., Uhlig, A., Papadopoulos, Y., Rüde, E., Grätz, U., Walker, M., & Lien, R. (2018, June). Semi automatic failure analysis based on simulation models. Presented at Volume 2: Structures, Safety and Reliability

Classical risk assessment and risk management which is gaining importance in many industries is usually based on well defined processes and uses techniques like FTA and FMEA. However, classical risk analysis techniques like FTA and FMEA should ideall... Read More about Semi automatic failure analysis based on simulation models.

Multi-objective optimization of dependability attributes using an asynchronous heterogeneous hierarchical parallel genetic algorithm (2008)
Journal Article
Wenhua, Z., Papadopoulos, Y., & Parker, D. (2008). Multi-objective optimization of dependability attributes using an asynchronous heterogeneous hierarchical parallel genetic algorithm. IFAC Proceedings Volumes/ International Federation of Automatic Control, 41(3), 199-204. https://doi.org/10.3182/20081205-2-cl-4009.00036

The optimal satisfaction of dependability attributes and cost, in the design of engineering systems, is a hard multi-objective optimization problem which requires automated algorithms that can effectively search large design spaces. In this paper, a... Read More about Multi-objective optimization of dependability attributes using an asynchronous heterogeneous hierarchical parallel genetic algorithm.

Spiking neurons: Is coincidence-factor enough for comparing responses with fluctuating membrane voltage? (2008)
Presentation / Conference Contribution
Sarangdhar, M., & Kambhampati, C. Spiking neurons: Is coincidence-factor enough for comparing responses with fluctuating membrane voltage?

Similarity between two spike trains is generally estimated using a ‘coincidence factor’. This factor relies on counting coincidences of firing-times for spikes in a given time window. However, in cases where there are significant fluctuations in memb... Read More about Spiking neurons: Is coincidence-factor enough for comparing responses with fluctuating membrane voltage?.

Virtual reality training for radiotherapy becomes a reality (2008)
Journal Article
Phillips, R., Ward, J. W., Page, L., Grau, C., Bojen, A., Hall, J., Nielsen, K., Nordentoft, V., & Beavis, A. W. (2008). Virtual reality training for radiotherapy becomes a reality. Studies in health technology and informatics, 132, 366-371

A report in 2007 to the UK Government identified a crisis in England for training staff and students for the radiotherapy treatment of cancer. The Hull authors have developed an immersive life size virtual environment of a radiotherapy treatment room... Read More about Virtual reality training for radiotherapy becomes a reality.