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All Outputs (1097)

The ARE Robot Fabricator: How to (Re)produce Robots that Can Evolve in the Real World (2019)
Conference Proceeding
Li, W., Hale, M. F., Buchanan, E., Winfield, A. F., Timmis, J., Hart, E., …Tyrrell, A. M. (2019). The ARE Robot Fabricator: How to (Re)produce Robots that Can Evolve in the Real World. In H. Fellermann, J. Bacardit, A. Goni-Moreno, & R. Fuchslin (Eds.), The 2019 Conference on Artificial Life (95-102). https://doi.org/10.1162/isal_a_00147

The long term vision of the Autonomous Robot Evolution (ARE) project is to create an ecosystem of both virtual and physical robots with evolving brains and bodies. One of the major challenges for such a vision is the need to construct many unique ind... Read More about The ARE Robot Fabricator: How to (Re)produce Robots that Can Evolve in the Real World.

Data science methodology for Internet-of-Things (2019)
Conference Proceeding
Brohi, S., Marjani, M., Hashem, I. A. T., Pillai, T. R., Kaur, S., & Amalathas, S. S. (2019). Data science methodology for Internet-of-Things. In M. H. Miraz, P. S. Excell, A. Ware, S. Soomro, & M. Ali (Eds.), International Conference for Emerging Technologies in Computing (178-186). https://doi.org/10.1007/978-3-030-23943-5_13

The journey of data from the state of being valueless to valuable has been possible due to powerful analytics tools and processing platforms. Organizations have realized the potential of data, and they are looking far ahead from the traditional relat... Read More about Data science methodology for Internet-of-Things.

Feed-forward selection of cerebellar models for calibration of robot sound source localization (2019)
Conference Proceeding
Baxendale, M. D., Nibouche, M., Secco, E. L., Pipe, A. G., & Pearson, M. J. (2019). Feed-forward selection of cerebellar models for calibration of robot sound source localization. https://doi.org/10.1007/978-3-030-24741-6_1

© 2019, Springer Nature Switzerland AG. We present a responsibility predictor, based on the adaptive filter model of the cerebellum, to provide feed-forward selection of cerebellar calibration models for robot Sound Source Localization (SSL), based o... Read More about Feed-forward selection of cerebellar models for calibration of robot sound source localization.

Research in the wild via performance: Challenges, ethics and opportunities (2019)
Conference Proceeding
Taylor, R., Williamson, J., Spence, J., Wood, M., Hook, J., & Chen, K. (2019). Research in the wild via performance: Challenges, ethics and opportunities. In TVX '19: Proceedings of the 2019 ACM International Conference on Interactive Experiences for TV and Online Video (279-285). https://doi.org/10.1145/3317697.3323348

Publication rights licensed to ACM. Performance can be combined with interactive, online and immersive video as a way of conducting research in the wild. This affords the researcher opportunities to engage with participants in a way that can be surpr... Read More about Research in the wild via performance: Challenges, ethics and opportunities.

Collaborative HRI and machine learning for constructing personalised physical exercise databases (2019)
Conference Proceeding
Delgado Bellamy, D. M., & Caleb-Solly, P. (2019). Collaborative HRI and machine learning for constructing personalised physical exercise databases. In K. Althoefer, J. Konstantinova, & K. Zhang (Eds.), Towards Autonomous Robotic Systems (209-220). https://doi.org/10.1007/978-3-030-23807-0_18

Recent demographics indicate that we have a growing population of older adults with increasingly complex care-related needs, and a shrinking care workforce with limited resources to support them. As a result, there are a large number of research init... Read More about Collaborative HRI and machine learning for constructing personalised physical exercise databases.

Numerical study of pin-fin cooling on gas turbine blades (2019)
Conference Proceeding
Effendy, M., Yao, Y., Sugati, D., & Tjahjono, T. (2019). Numerical study of pin-fin cooling on gas turbine blades. In Exploring resources, process and design for sustainable urban development: Proceedings of the 5th International Conference on Engineering, Technology, and Industrial Application (ICETIA) 2018 (060022). https://doi.org/10.1063/1.5112493

This paper describes a numerical study of internal pin-fin cooling performance of a trailing-edge cutback configuration for gas turbine blade. The study was performed at two steps: first, to validate simulation results from an existing TE cutback coo... Read More about Numerical study of pin-fin cooling on gas turbine blades.

Pin-fin shape and orientation effects on wall heat transfer predictions of gas turbine blade (2019)
Conference Proceeding
Effendy, M., Yao, Y., Yao, J., & Marchant, D. R. (2019). Pin-fin shape and orientation effects on wall heat transfer predictions of gas turbine blade. In EXPLORING RESOURCES, PROCESS AND DESIGN FOR SUSTAINABLE URBAN DEVELOPMENT: Proceedings of the 5th International Conference on Engineering, Technology, and Industrial Application (ICETIA) 2018 (020008). https://doi.org/10.1063/1.5112392

Turbine blades are often exposed to the ‘hot’ gas environment and thus it is essential to apply effective cooling technique to extend the blade lifetime. In the present work, wall heat transfer characteristics inside a blade trailing-edge coolant pas... Read More about Pin-fin shape and orientation effects on wall heat transfer predictions of gas turbine blade.

Incremental development of business process architecture using the design science research methodology (2019)
Conference Proceeding
Sabri, M., Odeh, M., & Saad, M. (2019). Incremental development of business process architecture using the design science research methodology

This paper presents a new approach to developing a business process architecture using the design science research methodology. It is also part of the research framework development that generates a business process architecture using semantic knowle... Read More about Incremental development of business process architecture using the design science research methodology.

Flow Characteristics in Aeroengine Bearing Chambers With Shallow Sump (2019)
Conference Proceeding
Chandra, B., & Simmons, K. (2019). Flow Characteristics in Aeroengine Bearing Chambers With Shallow Sump. . https://doi.org/10.1115/gt2019-90320

In an aeroengine oil is supplied to the bearings for lubrication and cooling. Subsequently, it creates a two phase flow environment in the bearing chamber that may contain droplets, mist, wall film, ligaments, froth or foam and liquid pools. After th... Read More about Flow Characteristics in Aeroengine Bearing Chambers With Shallow Sump.

ICT Sustainability from Day One: Introducing New Computer Science Students at a UK University to Sustainability (2019)
Conference Proceeding
Brooks, I. (2019). ICT Sustainability from Day One: Introducing New Computer Science Students at a UK University to Sustainability

As ICT impacts dramatically on the sustainability of the world and of individuals, both positive and negative, there is an urgent need to educate Computer Science students about Sustainability. This paper assesses the experience of a project to intro... Read More about ICT Sustainability from Day One: Introducing New Computer Science Students at a UK University to Sustainability.

Enhancing user fairness in OFDMA radio access networks through machine learning (2019)
Conference Proceeding
Comsa, I., Zhang, S., Aydin, M., Kuonen, P., Trestian, R., & Ghinea, G. (2019). Enhancing user fairness in OFDMA radio access networks through machine learning. In 2019 Wireless Days (WD). , (1-8). https://doi.org/10.1109/WD.2019.8734262

The problem of radio resource scheduling subject to fairness satisfaction is very challenging even in future radio access networks. Standard fairness criteria aim to find the best trade-off between overall throughput maximization and user fairness sa... Read More about Enhancing user fairness in OFDMA radio access networks through machine learning.

The effects of clinical task interruptions on subsequent performance of a medication pre-administration task (2019)
Conference Proceeding
Williams, C., Morgan, P. L., Christopher, G., Zook, N., & Hoskins, R. (2020). The effects of clinical task interruptions on subsequent performance of a medication pre-administration task. https://doi.org/10.1007/978-3-030-19135-1_9

There is a surge of research exploring the role of task interruptions in the manifestation of primary task errors both in controlled experimental settings, and safety critical workplaces such as healthcare. Despite such research providing valuable in... Read More about The effects of clinical task interruptions on subsequent performance of a medication pre-administration task.

Classification of eye-state using EEG recordings: Speed-up gains using signal epochs and mutual information measure (2019)
Conference Proceeding
Asquith, P. M., & Ihshaish, H. (2019). Classification of eye-state using EEG recordings: Speed-up gains using signal epochs and mutual information measure. https://doi.org/10.1145/3331076.3331095

© 2019 Copyright held by the owner/author(s). Publication rights licensed to ACM. The classification of electroencephalography (EEG) signals is useful in a wide range of applications such as seizure detection/prediction, motor imagery classification,... Read More about Classification of eye-state using EEG recordings: Speed-up gains using signal epochs and mutual information measure.

The impact of different human-machine interface feedback modalities on older participants' user experience of CAVs in a simulator environment (2019)
Conference Proceeding
Eimontaite, I., Voinescu, A., Alford, C., Caleb-Solly, P., & Morgan, P. (2019). The impact of different human-machine interface feedback modalities on older participants' user experience of CAVs in a simulator environment. In Proceedings of the AHFE 2019 International Conference on Human Factors in Transportation (120-132). https://doi.org/10.1007/978-3-030-20503-4_11

Rapidly developing Autonomous Vehicle (AV) technology has potential to provide solutions to some of the aging population challenges, such as social isolation resulting from an inability to be independently mobile. However for AVs success, users' acce... Read More about The impact of different human-machine interface feedback modalities on older participants' user experience of CAVs in a simulator environment.

FABIoT: A Flexible Agent-Based Simulation Model for IoT Environments (2019)
Conference Proceeding
Perez Hernandez, M., Alturki, B., & Reiff-Marganiec, S. (2019). FABIoT: A Flexible Agent-Based Simulation Model for IoT Environments. In 2018 IEEE International Conference on Internet of Things (iThings); IEEE Green Computing and Communications (GreenCom); IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) (66-73). https://doi.org/10.1109/Cybermatics_2018.2018.00045

The Internet of Things aims to digitize everyday physical objects by connecting them to the internet. As a result, cyber-physical environments of multiple sizes emerge, imposing new requirements on applications and software systems in regards support... Read More about FABIoT: A Flexible Agent-Based Simulation Model for IoT Environments.

What makes for effective visualisation in cyber situational awareness for non-expert users? (2019)
Conference Proceeding
Carroll, F., Chakof, A., & Legg, P. (2019). What makes for effective visualisation in cyber situational awareness for non-expert users?. . https://doi.org/10.1109/CyberSA.2019.8899440

© 2019 IEEE. As cyber threats continue to become more prevalent, there is a need to consider how best we can understand the cyber landscape when acting online, especially so for non-expert users. Satellite navigation systems provide the de facto stan... Read More about What makes for effective visualisation in cyber situational awareness for non-expert users?.

Efficient and interpretable real-time malware detection using random-forest (2019)
Conference Proceeding
Mills, A., Spyridopoulos, T., & Legg, P. (2019). Efficient and interpretable real-time malware detection using random-forest. . https://doi.org/10.1109/CyberSA.2019.8899533

© 2019 IEEE. Malicious software, often described as malware, is one of the greatest threats to modern computer systems, and attackers continue to develop more sophisticated methods to access and compromise data and resources. Machine learning methods... Read More about Efficient and interpretable real-time malware detection using random-forest.

Tools and techniques for improving cyber situational awareness of targeted phishing attacks (2019)
Conference Proceeding
Legg, P., & Blackman, T. (2019). Tools and techniques for improving cyber situational awareness of targeted phishing attacks. . https://doi.org/10.1109/CyberSA.2019.8899406

© 2019 IEEE. Phishing attacks continue to be one of the most common attack vectors used online today to deceive users, such that attackers can obtain unauthorised access or steal sensitive information. Phishing campaigns often vary in their level of... Read More about Tools and techniques for improving cyber situational awareness of targeted phishing attacks.