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All Outputs (1080)

Multimodal Multi-Stream Deep Learning for Egocentric Activity Recognition (2016)
Presentation / Conference Contribution
Song, S., Chandrasekhar, V., Mandal, B., Li, L., Lim, J.-H., Babu, G. S., San, P. P., & Cheung, N.-M. (2016, June). Multimodal Multi-Stream Deep Learning for Egocentric Activity Recognition. Presented at 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Las Vegas, NV, USA

In this paper, we propose a multimodal multi-stream deep learning framework to tackle the egocentric activity recognition problem, using both the video and sensor data. First, we experiment and extend a multi-stream Convolutional Neural Network to le... Read More about Multimodal Multi-Stream Deep Learning for Egocentric Activity Recognition.

AUTOMATIC DETECTION OF FOVEA AND OPTIC DISC USING DEEP NEURAL NETWORKS (2016)
Presentation / Conference
Al-Bander, B., Al-Nuaimy, W., Parry, D., Leach, S., & Zheng, Y. (2016, June). AUTOMATIC DETECTION OF FOVEA AND OPTIC DISC USING DEEP NEURAL NETWORKS. Poster presented at 26th Meeting of the European Association for the Study of Diabetes Eye Complications Study Group (EASDec), Manchester, UK

Design: This is a software development and evaluation study involving colour fundus images of the retina from people with diabetes.
Purpose: To investigate the feasibility of deep learning techniques to simultaneously detect the centres of the fovea... Read More about AUTOMATIC DETECTION OF FOVEA AND OPTIC DISC USING DEEP NEURAL NETWORKS.

Gl-learning: an optimized framework for grammatical inference (2016)
Presentation / Conference Contribution
Cottone, P., Ortolani, M., & Pergola, G. (2016, June). Gl-learning: an optimized framework for grammatical inference. Presented at CompSysTech '16: Computer Systems and Technologies 2016, Palermo Italy

In this paper, we present a new open-source software library, Gl-learning, for grammatical inference. The rise of new application scenarios in recent years has required optimized methods to address knowledge extraction from huge amounts of data and t... Read More about Gl-learning: an optimized framework for grammatical inference.

A Mean Field Game Theoretic Approach to Electric Vehicles Charging (2016)
Journal Article
Fan. (2016). A Mean Field Game Theoretic Approach to Electric Vehicles Charging. IEEE Access, 3501 -3510. https://doi.org/10.1109/ACCESS.2016.2581989

Electric vehicles (EVs) provide environmentally friendly transport and they are considered to be an important component of distributed and mobile electric energy storage and supply system. It is possible that EVs can be used to store and transport en... Read More about A Mean Field Game Theoretic Approach to Electric Vehicles Charging.

Robust Statistical Methods for Empirical Software Engineering (2016)
Journal Article
(2016). Robust Statistical Methods for Empirical Software Engineering. Empirical Software Engineering, 579- 630. https://doi.org/10.1007/s10664-016-9437-5

There have been many changes in statistical theory in the past 30 years, including increased evidence that non-robust methods may fail to detect important results. The statistical advice available to software engineering researchers needs to be updat... Read More about Robust Statistical Methods for Empirical Software Engineering.

A Green's function approach to predict nonlinear thermoacoustic instabilities in combustors (2016)
Journal Article
Bigongiari, A., & Heckl, M. A. (2016). A Green's function approach to predict nonlinear thermoacoustic instabilities in combustors. Journal of Fluid Mechanics, 970 - 996. https://doi.org/10.1017/jfm.2016.332

The prediction of thermoacoustic instabilities is fundamental for combustion systems such as domestic burners and industrial gas turbine engines. High-amplitude pressure oscillations cause thermal and mechanical stress to the equipment, leading to pr... Read More about A Green's function approach to predict nonlinear thermoacoustic instabilities in combustors.

The SBOL Stack: A Platform for Storing, Publishing, and Sharing Synthetic Biology Designs. (2016)
Journal Article
Wipat, A., Hallinan, J., Madsen, C., McLaughlin, J., Mısırlı, G., Pocock, M., & Flanagan, K. (2016). The SBOL Stack: A Platform for Storing, Publishing, and Sharing Synthetic Biology Designs. ACS synthetic biology, 487 - 497. https://doi.org/10.1021/acssynbio.5b00210

Recently, synthetic biologists have developed the Synthetic Biology Open Language (SBOL), a data exchange standard for descriptions of genetic parts, devices, modules, and systems. The goals of this standard are to allow scientists to exchange design... Read More about The SBOL Stack: A Platform for Storing, Publishing, and Sharing Synthetic Biology Designs..

Edge bending wave on a thin elastic plate resting on a Winkler foundation (2016)
Journal Article
Kaplunov, J., Prikazchikov, D., & Rogerson, G. (2016). Edge bending wave on a thin elastic plate resting on a Winkler foundation. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 472(2190), https://doi.org/10.1098/rspa.2016.0178

This paper is concerned with elucidation of the general properties of the bending edge wave in a thin linearly elastic plate that is supported by a Winkler foundation. A homogeneous wave of arbitrary profile is considered, and represented in terms of... Read More about Edge bending wave on a thin elastic plate resting on a Winkler foundation.

Impact of Smart Metering Data Aggregation on Distribution System State Estimation (2016)
Journal Article
Fan. (2016). Impact of Smart Metering Data Aggregation on Distribution System State Estimation. IEEE Transactions on Industrial Informatics, 1426 - 1437. https://doi.org/10.1109/TII.2016.2573272

Pseudo MV/LV (Medium/Low Voltage) transformer loads are usually used as partial inputs to the Distribution System
State Estimation (DSSE) in MV systems. Such pseudo load can be represented by the aggregation of Smart Metering (SM) data. This follows... Read More about Impact of Smart Metering Data Aggregation on Distribution System State Estimation.

Analysis of G-type Seismic Waves in Dry Sandy Layer overlying an Inhomogeneous Half-space (2016)
Journal Article
(2016). Analysis of G-type Seismic Waves in Dry Sandy Layer overlying an Inhomogeneous Half-space. Procedia Engineering, 1340 - 1347. https://doi.org/10.1016/j.proeng.2016.05.163

The paper investigates the dispersion of G-type seismic waves along the interface of dry sandy and inhomogeneous isotropic
elastic media. The maximum energy flow which projects the fact that a large amount of energy can flow along the interface for... Read More about Analysis of G-type Seismic Waves in Dry Sandy Layer overlying an Inhomogeneous Half-space.

Vibrations of an elastic cylindrical shell near the lowest cut-off frequency (2016)
Journal Article
Kaplunov, J., Manevitch, L., & Smirnov, V. (2016). Vibrations of an elastic cylindrical shell near the lowest cut-off frequency. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 472(2189), https://doi.org/10.1098/rspa.2015.0753

A new asymptotic approximation of the dynamic equations in the two-dimensional classical theory of thin-elastic shells is established for a circular cylindrical shell. It governs long wave vibrations in the vicinity of the lowest cut-off frequency. A... Read More about Vibrations of an elastic cylindrical shell near the lowest cut-off frequency.

Virtual imaging for patient information on radiotherapy planning and delivery (2016)
Presentation / Conference Contribution
Sule-Suso, J., Finney, S., Bisson, J., Hammersley, S., Jassal, S., Knight, C., Ellis, C., Sargeant, S., Lam, K., Belcher, J., Collins, D., Bhana, R., Adab, F., O'Donovan, C., & Moloney, A. (2016, April). Virtual imaging for patient information on radiotherapy planning and delivery. Poster presented at ESTRO 35, Turin, Italy

Purpose or Objective: To assess whether both patients and
their relatives would welcome further information on a oneto-one basis on RT planning and delivery using the virtual
reality (VR) system VERT.

Data Integration and Mining for Synthetic Biology Design. (2016)
Journal Article
Mısırlı, G., Hallinan, J., Pocock, M., Lord, P., McLaughlin, J., Sauro, H., & Wipat, A. (2016). Data Integration and Mining for Synthetic Biology Design. ACS synthetic biology, 1086 - 1097. https://doi.org/10.1021/acssynbio.5b00295

One aim of synthetic biologists is to create novel and predictable biological systems from simpler modular parts. This approach is currently hampered by a lack of well-defined and characterized parts and devices. However, there is a wealth of existin... Read More about Data Integration and Mining for Synthetic Biology Design..

Mitigating inter-cluster interference on the uplink for a three-cell clustered cooperative network (2016)
Journal Article
Fan. (2016). Mitigating inter-cluster interference on the uplink for a three-cell clustered cooperative network. EURASIP Journal on Wireless Communications and Networking, https://doi.org/10.1186/s13638-016-0610-8

In this paper, we propose a practical and scalable solution to mitigating interference on the uplink through static clustering and adaptive fractional frequency reuse (CFFR). The focus is on a three-cell clustered network due to its low complexity. M... Read More about Mitigating inter-cluster interference on the uplink for a three-cell clustered cooperative network.

MedHelp: Enhancing medication compliance for demented elderly people with wearable visual intelligence (2016)
Journal Article
Mandal, B. (2016). MedHelp: Enhancing medication compliance for demented elderly people with wearable visual intelligence. https://doi.org/10.1186/s41070-016-0006-5

Dementia results in much stress in senior citizens and and immensely affects their quality of life. It also incurs huge financial and emotional burdens to their family members. Personal information assistance may alleviate such a problem by enhancing... Read More about MedHelp: Enhancing medication compliance for demented elderly people with wearable visual intelligence.

A transitional Markov switching autoregressive model (2016)
Journal Article
Cheng. (2016). A transitional Markov switching autoregressive model. Communications in Statistics - Theory and Methods, 45(10), 2785-2800. https://doi.org/10.1080/03610926.2014.894065

This paper is concerned with properties of a transitional Markov switching autoregressive (TMSAR) model, together with its maximum-likelihood estimation and inference. We extend existing MSAR models by allowing dependence of AR parameters on hidden s... Read More about A transitional Markov switching autoregressive model.

Monotonicity of fitness landscapes and mutation rate control (2016)
Journal Article
Channon. (2016). Monotonicity of fitness landscapes and mutation rate control. Journal of Mathematical Biology, 1491-1524. https://doi.org/10.1007/s00285-016-0995-3

A common view in evolutionary biology is that mutation rates are minimised. However, studies in combinatorial optimisation and search have shown a clear advantage of using variable mutation rates as a control parameter to optimise the performance of... Read More about Monotonicity of fitness landscapes and mutation rate control.