All Outputs (111)

Towards bio-responsive control for music (2017)
Presentation / Conference
Williams, D., Murphy, D., & Fazenda, B. (2017, December). Towards bio-responsive control for music. Presented at DMRN+12 : Digital Music Research Network, Queen Mary University London

Music and audio applications are well suited to tactile control. In sound and music computing there can be a disconnect between design of human-computer interfacing and application congruent design. A categorical approach is proposed, considering act... Read More about Towards bio-responsive control for music.

Exposing the Luxury Effect (2017)
Presentation / Conference
Scaletta, K., Dennis, M., Hardman, M., Griffiths, A., & James, P. (2017, December). Exposing the Luxury Effect. Poster presented at British Ecological Society Annual Meeting, Ghent

Exploring cross-domain data dependencies for smart homes to improve energy efficiency (2017)
Presentation / Conference
Iram, S., Fernando, T., & Bassanino, M. (2017, December). Exploring cross-domain data dependencies for smart homes to improve energy efficiency. Presented at 10th International Conference on Utility and Cloud Computing, Austin, Texas, USA

Over the past decade, the idea of smart homes has been conceived as a potential solution to counter energy crises or to at least mitigate its intensive destructive consequences in the residential building sector. Smart homes have emerged as one of th... Read More about Exploring cross-domain data dependencies for smart homes to improve energy efficiency.

Microphone wind noise reduction using singular spectrum analysis techniques (2017)
Presentation / Conference
Eldwaik, O., & Li, F. (2017, November). Microphone wind noise reduction using singular spectrum analysis techniques. Presented at 33nd Annual Conference And Exhibition. Reproduced Sound 2017 : Sound Quality By Design, Nottingham, UK

Wind noise is a known problem that contaminates microphone signals in many field measurement and audio recording scenarios. A recently completed EPSRC project has led to the development of a tool to detect such noise; this paper takes a step further... Read More about Microphone wind noise reduction using singular spectrum analysis techniques.

Big pictures and small screens; how television sound research can work with, and for, hard of hearing viewers (2017)
Presentation / Conference
Ward, L., Shirley, B., & Davies, W. (2017, November). Big pictures and small screens; how television sound research can work with, and for, hard of hearing viewers. Presented at Reproduced Sound 2017, Nottingham, UK

Hearing loss affects one in six people in the United Kingdom and, given an ageing population, this figure is increasing.1 Numerous studies highlight that improvements in the intelligibility of television sound are required to increase television’s... Read More about Big pictures and small screens; how television sound research can work with, and for, hard of hearing viewers.

A Correlation Analysis of Factors Influencing Cooling Energy Demand of Condominiums in Sri Lanka (2017)
Presentation / Conference
Geekiyanage, D., & Ramachandra, T. (2017, November). A Correlation Analysis of Factors Influencing Cooling Energy Demand of Condominiums in Sri Lanka. Paper presented at Vidulka National Energy Symposium, Colombo, Sri Lanka

Often, energy use for Heating, Ventilation and Air Conditioning is the key contributor to operational energy demand which varies between 50-70% in most of the developed countries. Surprisingly, in Sri Lanka, the energy consumption of space cooling ac... Read More about A Correlation Analysis of Factors Influencing Cooling Energy Demand of Condominiums in Sri Lanka.

Turning up the background noise; The effects of salient non-speech audio elements on dialogue intelligibility in complex acoustic scenes (2017)
Presentation / Conference
Ward, L., Shirley, B., & Davies, W. (2017, November). Turning up the background noise; The effects of salient non-speech audio elements on dialogue intelligibility in complex acoustic scenes. Presented at Reproduced Sound, Southampton, UK

As an acoustic scene becomes more complex listeners increasingly rely on complementary intelligibility cues, such as context and language structure, to understand speech. Despite the role salient non-speech audio elements, like sound effects, play in... Read More about Turning up the background noise; The effects of salient non-speech audio elements on dialogue intelligibility in complex acoustic scenes.

Enhancing new user cold-start based on decision trees active learning by using past warm-users predictions (2017)
Presentation / Conference
Pozo, M., Chiky, R., Meziane, F., & Metais, E. (2017, November). Enhancing new user cold-start based on decision trees active learning by using past warm-users predictions. Presented at 33ème conférence sur la Gestion de Données — Principes, Technologies et Applications, Nancy, France

The cold-start is the situation in which the recommender system has no or not enough information about the (new) users/items i.e. their ratings/feedback; hence, the recommendations are not well performed. This issue is commonly encountered in techniq... Read More about Enhancing new user cold-start based on decision trees active learning by using past warm-users predictions.

Enhanced gas recovery by CO2 injection and sequestration : effect of connate water salinity on displacement efficiency (2017)
Presentation / Conference
Abba, M., Abbas, A., & Nasr, G. (2017, November). Enhanced gas recovery by CO2 injection and sequestration : effect of connate water salinity on displacement efficiency. Poster presented at Abu Dhabi International Petroleum Exhibition and Conference, Abu Dhabi, UAE

As natural gas continues to gain widespread usage as a source of cleaner and efficient fossil fuel, while greenhouse gas emission is attracting environmental consequences, the need for a viable method to enhance gas recovery and curtail greenhouse ga... Read More about Enhanced gas recovery by CO2 injection and sequestration : effect of connate water salinity on displacement efficiency.

The impact of gas flare on oil fields' enviornments (2017)
Presentation / Conference
Ogbonda, U., Ji, Y., Coates, S., & Bichard, E. (2017, October). The impact of gas flare on oil fields' enviornments. Presented at Academic 10th International Conference, Ottawa, Canada

Nigeria, Africa’s most populous nation and leading oil producer with the second-largest natural gas reserves in sub-Saharan Africa, is faced with energy deficiency. Despite efforts to diversify, the economy remains heavily dependent on oil accounti... Read More about The impact of gas flare on oil fields' enviornments.

Track assignment adjustment problem in complex railway passenger stations (2017)
Presentation / Conference
Zhang, Y., An, M., & Wang, L. (2017, October). Track assignment adjustment problem in complex railway passenger stations. Presented at The 3rd International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2017, Changsha, China

Track assignment plans are often adjusted for the purpose of safety and the minimum delay in real-time conditions, especially in busy complex railway passenger stations. First, taken trains as nodes, tracks as colors, a graph coloring model is design... Read More about Track assignment adjustment problem in complex railway passenger stations.

Automatic ROI detection and classification of the Achilles tendon ultrasound images (2017)
Presentation / Conference
Benrabha, J., & Meziane, F. (2017, October). Automatic ROI detection and classification of the Achilles tendon ultrasound images. Presented at International Conference on Internet of Things and Machine Learning (IML2017), Liverpool, United Kingdom

Ultrasound (US) imaging plays an important role in medical imaging technologies. It is widely used because of its ease of use and low cost compared to other imaging techniques. Specifically, ultrasound imaging is used in the detection of the Achil... Read More about Automatic ROI detection and classification of the Achilles tendon ultrasound images.

Consumers’ trust and popularity of negative posts in social media : a case study on the integration between B2C and C2C business models (2017)
Presentation / Conference
AlSheikh, S., Shaalan, S., & Meziane, F. (2017, October). Consumers’ trust and popularity of negative posts in social media : a case study on the integration between B2C and C2C business models. Presented at 4th International Conference on Behavioural, Economic, and Socio-Cultural Computing (BESC2017), Krakow, Poland

Trust can be defined as the vulnerability of trustor towards trustee to meet certain expectations. This paper extends the definition of trust to cover digital world and illustrate the trust model used by most of nowadays online stores. The social... Read More about Consumers’ trust and popularity of negative posts in social media : a case study on the integration between B2C and C2C business models.

Development of solid-state dye-sensitized solar cells (2017)
Presentation / Conference
Anthony, R., Holliman, P., Furnell, L., Connell, A., Jones, E., & Kershaw, C. (2017, October). Development of solid-state dye-sensitized solar cells. Poster presented at Dyenamo DSSC Strikes Back, Uppsala University, Uppsala, Sweden

A POS-based preordering approach for English-to-Arabic statistical machine translation (2017)
Presentation / Conference
Hadj Ameur, M., Guessoum, A., & Meziane, F. (2017, October). A POS-based preordering approach for English-to-Arabic statistical machine translation. Presented at International Conference on Arabic Language Processing (ICALP’17), Fez, Morocco

In this work, we present a POS-based preordering approach that tackles both long- and short-distance reordering phenomena. Syntactic unlexicalized reordering rules are automatically extracted from a parallel corpus using only word alignment and a so... Read More about A POS-based preordering approach for English-to-Arabic statistical machine translation.

Railway network reliability analysis based on key station identification using complex network theory : a real-world case study of high-speed rail network (2017)
Presentation / Conference
Wang, L., An, M., Zhang, Y., & Rana, K. (2017, October). Railway network reliability analysis based on key station identification using complex network theory : a real-world case study of high-speed rail network. Presented at International Research Conference 2017 : Shaping Tomorrow's Built Environment, University of Salford, UK

The railway infrastructures have been rapidly developed around the world in the recent years. As a consequence, topology structures and operation modes of the railway network are greatly changed to very complicated network systems. Reliability anal... Read More about Railway network reliability analysis based on key station identification using complex network theory : a real-world case study of high-speed rail network.

Supporting massive M2M traffic in the Internet of Things using millimetre wave 5G network (2017)
Presentation / Conference
Al-Falahy, N., & Alani, O. (2017, September). Supporting massive M2M traffic in the Internet of Things using millimetre wave 5G network. Presented at 9th Computer Science & Electronic Engineering Conference (CEEC), University of Essex, UK

One of the challenges of Fifth Generation (5G) networks is how to support massive number of wireless devices in the Internet of Things (IoT). IoT will interconnect billions of devices under machine-to-machine communication links (M2M). However, thi... Read More about Supporting massive M2M traffic in the Internet of Things using millimetre wave 5G network.

Enhancing new user cold-start based on decision trees active learning by using past warm-users predictions (2017)
Presentation / Conference
Pozo, M., Chiky,, R., Meziane, F., & Metais, E. (2017, September). Enhancing new user cold-start based on decision trees active learning by using past warm-users predictions. Presented at 9th International Conference on Computational Collective Intelligence, Nicosia, Cyprus

The cold-start is the situation in which the recommender system has no or not enough information about the (new) users/items, i.e. their ratings/feedback; hence, the recommendations are not accurate. Active learning techniques for recommender system... Read More about Enhancing new user cold-start based on decision trees active learning by using past warm-users predictions.

Case study on using the user-centric-backhaul scheme to unlock the realistic backhaul (2017)
Presentation / Conference
Jaber, M., Imran, M., Tukmanov, A., Sutton, A., & Tafazolli, R. (2017, September). Case study on using the user-centric-backhaul scheme to unlock the realistic backhaul. Presented at 2017 IEEE 86th Vehicular Technology Conference (VTC-Fall), Toronto, Canada

The fifth generation of mobile networks (5G) is maturing fast and the target year 2020 is around the corner. However, the realistic backhaul network may not be ready for 5G arrival as it is likely to converge to 5G requirements at a slower pace than... Read More about Case study on using the user-centric-backhaul scheme to unlock the realistic backhaul.

A novel, soft, bending actuator for use in power assist and rehabilitation exoskeletons (2017)
Presentation / Conference
Al-Fahaam, H., Davis, S., & Nefti-Meziani, S. (2017, September). A novel, soft, bending actuator for use in power assist and rehabilitation exoskeletons. Presented at IEEE/RSJ International Conference on Intelligent Robots and Systems 2017, Vancouver, BC, Canada

This article presents the development of a fully soft, exoskeleton robot for power augmentation and rehabilitation of a human wrist joint. The system is powered by novel bending pneumatic muscles which have been combined with contractor pneumatic mus... Read More about A novel, soft, bending actuator for use in power assist and rehabilitation exoskeletons.