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Outputs (245)

Use of Nondestructive Techniques for Determination of Tension Parallel-to-Grain Properties of Spruce (2019)
Presentation / Conference Contribution
Gil-Moreno, D., O'Ceallaigh, C., Ridley-Ellis, D., & Harte, A. M. (2019, September). Use of Nondestructive Techniques for Determination of Tension Parallel-to-Grain Properties of Spruce. Presented at 21st International Nondestructive Testing and Evaluation of Wood Symposium, Freiburg, Germany

The paper presents a study of the tension properties of Irish-grown Sitka spruce. Fifty timber pieces were destructively tested having resonant frequency and knots measured. The aim was to improve knowledge of the performance of spruce in tension and... Read More about Use of Nondestructive Techniques for Determination of Tension Parallel-to-Grain Properties of Spruce.

The use of a visual grading code of practice in the UK in the assessment of the mechanical properties of in situ structural timber elements (2019)
Presentation / Conference Contribution
Bather, M. J., & Ridley-Ellis, D. J. (2019, September). The use of a visual grading code of practice in the UK in the assessment of the mechanical properties of in situ structural timber elements. Presented at 5th International Conference on Structural Health Assessment of Timber Structures (SHATiS), Guimarães, Portugal

The estimation of the mechanical properties of in situ timber elements is an essential part of the structural appraisal of many existing buildings and structures. Currently, in the UK, this appraisal of load-bearing timber is generally carried out b... Read More about The use of a visual grading code of practice in the UK in the assessment of the mechanical properties of in situ structural timber elements.

MetaSurface Structure Design and Channel Modelling for THz Band Communications (2019)
Presentation / Conference Contribution
La Spada, L., Loscri, V., & Vegni, A. M. (2019). MetaSurface Structure Design and Channel Modelling for THz Band Communications. . https://doi.org/10.1109/infcomw.2019.8845308

Recently, a huge interest has been raised in controlling and manipulating electromagnetic waves by means of MetaSurfaces. This type of material makes possible the control of phase and amplitude of electromagnetic waves paving the way of different app... Read More about MetaSurface Structure Design and Channel Modelling for THz Band Communications.

Mode I fracture toughness of optimized alkali-treated Bambusa Vulgaris bamboo by Box-Behnken design (2019)
Presentation / Conference Contribution
Roslan, S. A., Hassan, M. Z., Rasid, Z. A., Bani, N. A., Sarip, S., Daud, M. Y. M., & Muhammad-Sukki, F. (2018, November). Mode I fracture toughness of optimized alkali-treated Bambusa Vulgaris bamboo by Box-Behnken design. Presented at 4th International Conference on Mechanical, Manufacturing and Plant Engineering (ICMMPE 2018), Melaka, Malaysia

Alkaline treatment is widely being used to treat natural fibres and it improves the fibre surface for better bonding with the polymer matrix. The aim of this study is to optimize the alkaline treatment variables that influence the strength of natural... Read More about Mode I fracture toughness of optimized alkali-treated Bambusa Vulgaris bamboo by Box-Behnken design.

How to Measure the Average and Peak Age of Information in Real Networks? (2019)
Presentation / Conference Contribution
Barakat, B., Yassine, H., Keates, S., Wassell, I., & Arshad, K. (2019, May). How to Measure the Average and Peak Age of Information in Real Networks?. Presented at European Wireless 2019, Aarhus, Denmark

The Age of information (AoI) was proposed in the literature to quantify the freshness of information. The majority of the work done in this area has theoretically evaluated AoI and its Peak (PAoI). In this paper, a method for obtaining the value of A... Read More about How to Measure the Average and Peak Age of Information in Real Networks?.

Using photogrammetry method to evaluate the shear module of the laminated glass beam in torsion tests (2019)
Presentation / Conference Contribution
Uheida, K., Zhang, J., & Deng, Y. (2019, September). Using photogrammetry method to evaluate the shear module of the laminated glass beam in torsion tests. Paper presented at Civil-Comp 2019: The Sixteenth International Conference on Civil, Structural and Environmental Engineering Computing, Riva del Garda, Italy

The laminated structural glass beam is a modern, transparent and innovative structural element, widely used in supporting floor and roof plates, glass walls and many other applications. Despite many favourable characteristics inherent in the material... Read More about Using photogrammetry method to evaluate the shear module of the laminated glass beam in torsion tests.

Learning Temporal Clusters Using Capsule Routing for Speech Emotion Recognition (2019)
Presentation / Conference Contribution
Jalal, M. A., Loweimi, E., Moore, R. K., & Hain, T. (2019). Learning Temporal Clusters Using Capsule Routing for Speech Emotion Recognition. In Proc. Interspeech 2019 (1701-1705). https://doi.org/10.21437/interspeech.2019-3068

Emotion recognition from speech plays a significant role in adding emotional intelligence to machines and making human-machine interaction more natural. One of the key challenges from machine learning standpoint is to extract patterns which bear maxi... Read More about Learning Temporal Clusters Using Capsule Routing for Speech Emotion Recognition.

Trainable Dynamic Subsampling for End-to-End Speech Recognition (2019)
Presentation / Conference Contribution
Zhang, S., Loweimi, E., Xu, Y., Bell, P., & Renals, S. (2019). Trainable Dynamic Subsampling for End-to-End Speech Recognition. In Proc. Interspeech 2019 (1413-1417). https://doi.org/10.21437/interspeech.2019-2778

Jointly optimised attention-based encoder-decoder models have yielded impressive speech recognition results. The recurrent neural network (RNN) encoder is a key component in such models — it learns the hidden representations of the inputs. However, i... Read More about Trainable Dynamic Subsampling for End-to-End Speech Recognition.

On Learning Interpretable CNNs with Parametric Modulated Kernel-Based Filters (2019)
Presentation / Conference Contribution
Loweimi, E., Bell, P., & Renals, S. (2019). On Learning Interpretable CNNs with Parametric Modulated Kernel-Based Filters. In Proc. Interspeech 2019 (3480-3484). https://doi.org/10.21437/interspeech.2019-1257

We investigate the problem of direct waveform modelling using parametric kernel-based filters in a convolutional neural network (CNN) framework, building on SincNet, a CNN employing the cardinal sine (sinc) function to implement learnable bandpass fi... Read More about On Learning Interpretable CNNs with Parametric Modulated Kernel-Based Filters.