Skip to main content

Research Repository

Advanced Search

All Outputs (155)

Storisphere: From TV watching to community story telling (2013)
Journal Article
Mu, M., Simpson, S., Bojko, C., Broadbent, M., Brown, J., Mauthe, A., …Hutchison, D. (2013). Storisphere: From TV watching to community story telling. IEEE Communications Magazine, 51(8), 112-119. https://doi.org/10.1109/MCOM.2013.6576348

Conventional television services have been increasingly challenged by the more interactive and user-centric video sharing applications. With the growing popularity of social networks and video services, users are becoming the editors and broadcasters... Read More about Storisphere: From TV watching to community story telling.

Leveraging the Cloud for Large-Scale Software Testing – A Case Study: Google Chrome on Amazon (2013)
Book Chapter
Pakhira, A., & Andras, P. (2013). Leveraging the Cloud for Large-Scale Software Testing – A Case Study: Google Chrome on Amazon. In S. Tilley, & T. Parveen (Eds.), Software Testing in the Cloud: Perspectives on an Emerging Discipline (252-279). IGI Global. https://doi.org/10.4018/978-1-4666-2536-5.ch012

Testing is a critical phase in the software life-cycle. While small-scale component-wise testing is done routinely as part of development and maintenance of large-scale software, the system level testing of the whole software is much more problematic... Read More about Leveraging the Cloud for Large-Scale Software Testing – A Case Study: Google Chrome on Amazon.

Modelling nanoplasmonic device based on an off-shelf hybrid desktop supercomputing platform (2013)
Presentation / Conference Contribution
Yang, S., Li, R., & Hillenbrand, D. (2013, August). Modelling nanoplasmonic device based on an off-shelf hybrid desktop supercomputing platform. Presented at 2013 IEEE 13th International Conference on Nanotechnology (IEEE-NANO), Beijing, China

Designing nanoplasmonic devices presents a number of unique challenges. The time domain modelling and simulation of electromagnetic (EM) wave interaction with nanoplasmonic devices, at high spatial and time resolution, requires high computational pow... Read More about Modelling nanoplasmonic device based on an off-shelf hybrid desktop supercomputing platform.

Towards reduced EEG based brain-computer interfacing for mobile robot navigation (2013)
Presentation / Conference Contribution
Mahmud, M., & Hussain, A. (2013, November). Towards reduced EEG based brain-computer interfacing for mobile robot navigation. Presented at 12th Mexican International Conference on Artificial Intelligence, MICAI 2013, Mexico City, Mexico

Rapid development in highly parallel neurophysiological recording techniques along with sophisticated signal processing tools allow direct communication with neuronal processes at different levels. One important level from the point of view of Rehabi... Read More about Towards reduced EEG based brain-computer interfacing for mobile robot navigation.

Tables and chairs go au naturel (2013)
Journal Article
Hussain, A. (2013). Tables and chairs go au naturel. InTents, 20,

Functional and aesthetic—tables and chairs provide structure and warmth to an event. Tables and chairs are the bones of an event. They provide the foundation upon which the rest of the event can be built. While glitz and glam still have their place,... Read More about Tables and chairs go au naturel.

Music genre classification: A semi-supervised approach (2013)
Presentation / Conference Contribution
Poria, S., Gelbukh, A., Hussain, A., Bandyopadhyay, S., & Howard, N. (2013, June). Music genre classification: A semi-supervised approach. Presented at MCPR 2013: 5th Mexican Conference on Pattern Recognition, Querétaro, Mexico

Music genres can be seen as categorical descriptions used to classify music basing on various characteristics such as instrumentation, pitch, rhythmic structure, and harmonic contents. Automatic music genre classification is important for music retri... Read More about Music genre classification: A semi-supervised approach.

Advances in Brain Inspired Cognitive Systems: Preface (2013)
Presentation / Conference Contribution
Liu, D., Alippi, C., Zhao, D., & Hussain, A. (2013). Advances in Brain Inspired Cognitive Systems: Preface. . https://doi.org/10.1007/978-3-642-38786-9

This book constitutes the refereed proceedings of the 6th International Conference on Brain Inspired Cognitive Systems, BICS 2013, held in Beijing, China in June 2013. The 45 high-quality papers presented were carefully reviewed and selected from 68... Read More about Advances in Brain Inspired Cognitive Systems: Preface.

Improved efficiency of road sign detection and recognition by employing Kalman filter (2013)
Presentation / Conference Contribution
Zakir, U., Hussain, A., Ali, L., & Luo, B. (2013, June). Improved efficiency of road sign detection and recognition by employing Kalman filter. Presented at BICS 2013: 6th International Conference on Brain Inspired Cognitive Systems, Beijing, China

This paper describes an efficient approach towards road sign detection, and recognition. The proposed system is divided into three sections namely: Road Sign Detection where Colour Segmentation of the road traffic signs is carried out using HSV colou... Read More about Improved efficiency of road sign detection and recognition by employing Kalman filter.

Efficient clinical decision making by learning from missing clinical data (2013)
Presentation / Conference Contribution
Farooq, K., Yang, P., Hussain, A., Huang, K., MacRae, C., Eckl, C., & Slack, W. (2013, April). Efficient clinical decision making by learning from missing clinical data. Presented at 2013 IEEE Symposium on Computational Intelligence in Healthcare and e-health (CICARE), Singapore, Singapore

Clinical decision making frequently involves making decisions under uncertainty because of missing key patient data (e.g, demographics, episodic and clinical diagnosis details) - this information is essential for modern clinical decision support syst... Read More about Efficient clinical decision making by learning from missing clinical data.

Conceptual clustering of documents for automatic ontology generation (2013)
Presentation / Conference Contribution
Krishnan, R., Hussain, A., & Sherimon, S. P. C. (2013, June). Conceptual clustering of documents for automatic ontology generation. Presented at BICS 2013: International Conference on Brain Inspired Cognitive Systems, Beijing, China

In Information retrieval, Keyword based retrieval is unsatisfactory for user needs since it can’t always retrieve relevant words according to the concept. Since different words can represent the same concept (polysemy) and one word can represent diff... Read More about Conceptual clustering of documents for automatic ontology generation.

Cognitive computation: A case study in cognitive control of autonomous systems and some future directions (2013)
Presentation / Conference Contribution
Hussain, A. (2013). Cognitive computation: A case study in cognitive control of autonomous systems and some future directions. In The 2013 International Joint Conference on Neural Networks (IJCNN). https://doi.org/10.1109/IJCNN.2013.6706716

Cognitive computation is an emerging discipline linking together neurobiology, cognitive psychology and artificial intelligence. Springer Neuroscience has launched a journal in this exciting multidisciplinary topic, which seeks to publish biologicall... Read More about Cognitive computation: A case study in cognitive control of autonomous systems and some future directions.

A review of artificial intelligence and biologically inspired computational approaches to solving issues in narrative financial disclosure (2013)
Presentation / Conference Contribution
Minhas, S., Poria, S., Hussain, A., & Hussainey, K. (2013, June). A review of artificial intelligence and biologically inspired computational approaches to solving issues in narrative financial disclosure. Presented at BICS 2013: 6th International Conference on Brain Inspired Cognitive Systems, Beijing, China

Indisputably, financial reporting has a key role to play in the efficient workings of capitalist economies. Problems related to agency and asymmetric information (Jensen and Meckling, 1976) would abound and cripple financial markets, as it has done w... Read More about A review of artificial intelligence and biologically inspired computational approaches to solving issues in narrative financial disclosure.

A novel clinical expert system for chest pain risk assessment (2013)
Presentation / Conference Contribution
Farooq, K., Hussain, A., Atassi, H., Leslie, S., Eckl, C., MacRae, C., & Slack, W. (2013, June). A novel clinical expert system for chest pain risk assessment. Presented at BICS 2013: 6th International Conference on Brain Inspired Cognitive Systems, Beijing, China

Rapid access chest pain clinics (RACPC) enable clinical risk assessment, investigation and arrangement of a treatment plan for chest pain patients without a long waiting list. RACPC Clinicians often experience difficulties in the diagnosis of chest p... Read More about A novel clinical expert system for chest pain risk assessment.

A novel SAR target detection algorithm based on contextual knowledge (2013)
Journal Article
Gao, F., Ru, A., Sun, J., & Hussain, A. (2013). A novel SAR target detection algorithm based on contextual knowledge. Progress In Electromagnetics Research, 142, 123-140. https://doi.org/10.2528/PIER13062403

This paper proposes a Synthetic Aperture Radar (SAR) vehicle target detection algorithm based on contextual knowledge. The proposed algorithm firstly obtains the general classification of SAR image with a Markov Random Field (MRF)-based segmentation... Read More about A novel SAR target detection algorithm based on contextual knowledge.

A basal ganglia inspired soft switching approach to the motion control of a car-like autonomous vehicle (2013)
Presentation / Conference Contribution
Yang, E., Hussain, A., & Gurney, K. (2013, June). A basal ganglia inspired soft switching approach to the motion control of a car-like autonomous vehicle. Presented at BICS 2013: 6th International Conference on Brain Inspired Cognitive Systems, Beijing, China

This paper presents a new brain-inspired, switching control approach for a car-like autonomous vehicle using a basal ganglia (BG) model as an action selection mechanism. The problem domain has challenging nonholonomic and state constraints which impl... Read More about A basal ganglia inspired soft switching approach to the motion control of a car-like autonomous vehicle.

Generating student feedback from time-series data using Reinforcement Learning (2013)
Presentation / Conference Contribution
Gkatzia, D., Hastie, H., Janarthanam, S., & Lemon, O. (2013). Generating student feedback from time-series data using Reinforcement Learning. In Proceedings of the 14th European Workshop on Natural Language Generation (115-124)

We describe a statistical Natural LanguageGeneration (NLG) method for summarisa-tion of time-series data in the context offeedback generation for students. In thispaper, we initially present a method forcollecting time-series data f... Read More about Generating student feedback from time-series data using Reinforcement Learning.

‘Discuss, Analyse, Define …’ Non-traditional Students Come to Terms with Cultures of Learning in the UK (2013)
Book Chapter
Pilcher, N., & Richards, K. (2013). ‘Discuss, Analyse, Define …’ Non-traditional Students Come to Terms with Cultures of Learning in the UK. In M. Cortazzi, & L. Jin (Eds.), Researching Intercultural Learning (135-151). Palgrave Macmillan. https://doi.org/10.1057/9781137291646_8

In contrast to students in many countries, British university students are often older than the common 18–22 age range; some are ‘non-traditional’ students who may have had experience of work in industrial or professional contexts before they study.... Read More about ‘Discuss, Analyse, Define …’ Non-traditional Students Come to Terms with Cultures of Learning in the UK.

Evolution feature oriented model driven product line engineering approach for synergistic and dynamic service evolution in clouds: A04BPEL3.0 proposal. (2013)
Presentation / Conference Contribution
Wang, Z., Chalmers, K., & Liu, X. (2013, June). Evolution feature oriented model driven product line engineering approach for synergistic and dynamic service evolution in clouds: A04BPEL3.0 proposal. Presented at International Conference on Information Society (i-Society 2013). University of Toronto, Canada

Model Driven based approach for Service Evolution in Clouds will mainly focus on the reusable evolution patterns' advantage to solve evolution problems. During the process, evolution pattern will be driven by MDA models to pattern aspects. Weaving th... Read More about Evolution feature oriented model driven product line engineering approach for synergistic and dynamic service evolution in clouds: A04BPEL3.0 proposal..