All Outputs (274)

Complex-valued computational model of hippocampal CA3 recurrent collaterals (2017)
Presentation / Conference Contribution
Shiva, A., Gogate, M., Howard, N., Graham, B., & Hussain, A. (2017). Complex-valued computational model of hippocampal CA3 recurrent collaterals. . https://doi.org/10.1109/ICCI-CC.2017.8109745

Complex planes are known to simplify the complexity of real world problems, providing a better comprehension of their functionality and design. The need for complex numbers in both artificial and biological neural networks is equally well established... Read More about Complex-valued computational model of hippocampal CA3 recurrent collaterals.

Development of 3D Sculpted, Hyper-Realistic Biomimetic Eyes for Humanoid Robots and Medical Ocular Prostheses (2017)
Presentation / Conference Contribution
Strathearn, C., & Ma, M. (2017, October). Development of 3D Sculpted, Hyper-Realistic Biomimetic Eyes for Humanoid Robots and Medical Ocular Prostheses. Presented at 2nd International Symposium on Swarm Behavior and Bio-Inspired Robotics (SWARM 2017), Kyoto, Japan

Hyper-realistic Humanoid Bio-robotic Systems (HHBS) are the precise electro-mechanical bodily emulation of natural human being in materiality, form and function. However, the standardised approach of constructing static ocular prosthesis for implemen... Read More about Development of 3D Sculpted, Hyper-Realistic Biomimetic Eyes for Humanoid Robots and Medical Ocular Prostheses.

Utilising natural cross-modal mappings for visual control of feature-based sound synthesis (2017)
Presentation / Conference Contribution
Tsiros, A., & Leplâtre, G. (2017, November). Utilising natural cross-modal mappings for visual control of feature-based sound synthesis. Presented at International Conference on Multimodal Interaction 2017

This paper presents the results of an investigation into audio-visual (AV) correspondences conducted as part of the development of Morpheme, a painting interface to control a corpus-based concatenative sound synthesis algorithm. Previous research has... Read More about Utilising natural cross-modal mappings for visual control of feature-based sound synthesis.

Fast Millimeter Wave Assisted Beam-Steering for Passive Indoor Optical Wireless Networks (2017)
Journal Article
Torres Vega, M., Koonen, A. M. J., Liotta, A., & Famaey, J. (2018). Fast Millimeter Wave Assisted Beam-Steering for Passive Indoor Optical Wireless Networks. IEEE Wireless Communications Letters, 7(2), 278-281. https://doi.org/10.1109/lwc.2017.2771771

In light of the extreme radio congestion, the time has come to consider the upper parts of the electromagnetic spectrum. Optical beam-steered wireless communications offer great potential for future indoor short-range connectivity, due to virtually u... Read More about Fast Millimeter Wave Assisted Beam-Steering for Passive Indoor Optical Wireless Networks.

Security, privacy and safety evaluation of dynamic and static fleets of drones (2017)
Presentation / Conference Contribution
Akram, R. N., Markantonakis, K., Mayes, K., Habachi, O., Sauveron, D., Steyven, A., & Chaumette, S. (2017, September). Security, privacy and safety evaluation of dynamic and static fleets of drones. Presented at 2017 IEEE/AIAA 36th Digital Avionics Systems Conference (DASC)

Interconnected everyday objects, either via public or private networks, are gradually becoming reality in modern life -- often referred to as the Internet of Things (IoT) or Cyber-Physical Systems (CPS). One stand-out example are those systems based... Read More about Security, privacy and safety evaluation of dynamic and static fleets of drones.

A virtual uneven grid-based routing protocol for mobile sink-based WSNs in a smart home system (2017)
Journal Article
Liu, X., & Liu, Q. (2018). A virtual uneven grid-based routing protocol for mobile sink-based WSNs in a smart home system. Personal and Ubiquitous Computing, https://doi.org/10.1007/s00779-017-1093-2

In a non-uniformly distributed network, the dataconcentrating centre equipped with sparse nodes rapidly depletes its battery energy due to the hotspot problem. To solve this problem, a Virtual Uneven Grid-based Routing protocol (VUGR) is proposed in... Read More about A virtual uneven grid-based routing protocol for mobile sink-based WSNs in a smart home system.

What role will wearables play in future healthcare? (2017)
Presentation / Conference Contribution
Thuemmler, C. (2017, November). What role will wearables play in future healthcare?. Presented at Seminar on the future of Health care, Big Data and Wearables

A better and more efficient health sector through digitalization and the use of Big Data – personalized treatment, prevention and diagnostics based on a more encompassing understanding of the patient; continuous surveillance and home based treatment. Read More about What role will wearables play in future healthcare?.

Head-mounted displays as opera glasses: using mixed-reality to deliver an egalitarian user experience during live events (2017)
Presentation / Conference Contribution
Bishop, C., Esteves, A., & McGregor, I. (2017, November). Head-mounted displays as opera glasses: using mixed-reality to deliver an egalitarian user experience during live events. Presented at Proceedings of the 19th ACM International Conference on Multimodal Interaction - ICMI 2017

This paper explores the use of head-mounted displays (HMDs) as a way to deliver a front row experience to any audience member during a live event. To do so, it presents a two-part user study that compares participants reported sense of presence acros... Read More about Head-mounted displays as opera glasses: using mixed-reality to deliver an egalitarian user experience during live events.

An applied pattern-driven corpus to predictive analytics in mitigating SQL injection attack (2017)
Presentation / Conference Contribution
Uwagbole, S. O., Buchanan, W. J., & Fan, L. (2017, September). An applied pattern-driven corpus to predictive analytics in mitigating SQL injection attack. Presented at 2017 Seventh International Conference on Emerging Security Technologies (EST)

Emerging computing relies heavily on secure back-end storage for the massive size of big data originating from the Internet of Things (IoT) smart devices to the Cloud-hosted web applications. Structured Query Language (SQL) Injection Attack (SQLIA) r... Read More about An applied pattern-driven corpus to predictive analytics in mitigating SQL injection attack.

A Closer Look at Adaptation Mechanisms in Simulated Environment-Driven Evolutionary Swarm Robotics (2017)
Thesis
Steyven, A. S. W. A Closer Look at Adaptation Mechanisms in Simulated Environment-Driven Evolutionary Swarm Robotics. (Thesis). Edinburgh Napier University. http://researchrepository.napier.ac.uk/Output/1253630

This thesis investigates several aspects of environment-driven adaptation in simulated evolutionary swarm robotics. It is centred around a specific algorithm for distributed embodied evolution called mEDEA. Firstly, mEDEA is extended with an explici... Read More about A Closer Look at Adaptation Mechanisms in Simulated Environment-Driven Evolutionary Swarm Robotics.

Power Consuming Activity Recognition in Home Environment (2017)
Presentation / Conference Contribution
Liu, X., & Liu, Q. (2017). Power Consuming Activity Recognition in Home Environment. In X. Sun, H. Chao, X. You, & E. Bertino (Eds.), Cloud Computing and Security. ICCCS 2017 (361-372). https://doi.org/10.1007/978-3-319-68505-2_31

This work proposed an activity recognition model which focus on the power con-suming activity in home environment, to help residents modify their behavior. We set the IoT system with lower number of sensors. The key data for identifying activity come... Read More about Power Consuming Activity Recognition in Home Environment.

An Energy-Efficiency Routing Scheme Based on Clusters with a Mobile Sink for WSNs (2017)
Presentation / Conference Contribution
Liu, X., & Liu, Q. (2017, June). An Energy-Efficiency Routing Scheme Based on Clusters with a Mobile Sink for WSNs. Presented at 3rd International Conference on Cloud Computing and Security (ICCCS 2017)

With the development of microelectronic devices and the radio, the application of WSN is more popular and can be applied in the various areas, which has attracted scholars. However, the requirements of performance for WSNs are becoming great in terms... Read More about An Energy-Efficiency Routing Scheme Based on Clusters with a Mobile Sink for WSNs.

Hiding in Plain Sight: A Longitudinal Study of Combosquatting Abuse (2017)
Presentation / Conference Contribution
Kintis, P., Miramirkhani, N., Lever, C., Chen, Y., Romero-Gómez, R., Pitropakis, N., Nikiforakis, N., & Antonakakis, M. (2017, October). Hiding in Plain Sight: A Longitudinal Study of Combosquatting Abuse. Presented at 2017 ACM SIGSAC Conference on Computer and Communications Security, Dallas, Texas, USA

Domain squatting is a common adversarial practice where attackers register domain names that are purposefully similar to popular domains. In this work, we study a specific type of domain squatting called "combosquatting," in which attackers register... Read More about Hiding in Plain Sight: A Longitudinal Study of Combosquatting Abuse.

Load Balancing Objective Function in RPL (Draft 2) (2017)
Report
Qasem, M., Al-Dubai, A., Romdhani, I., Ghaleb, B., Hou, J., & Jadhav, R. A. (2017). Load Balancing Objective Function in RPL (Draft 2). USA: IETF

This document proposes an extended Objective Function(OF) that balances the number of child nodes of the parent nodes to avoid the overloading problem and ensure node lifetime maximization in the IPv6 Routing Protocol for Low-Power and Lossy Ne... Read More about Load Balancing Objective Function in RPL (Draft 2).

Learning from Few Samples with Memory Network (2017)
Journal Article
Zhang, S., Huang, K., Zhang, R., & Hussain, A. (2018). Learning from Few Samples with Memory Network. Cognitive Computation, 10(1), 15-22. https://doi.org/10.1007/s12559-017-9507-z

Neural networks (NN) have achieved great successes in pattern recognition and machine learning. However, the success of a NN usually relies on the provision of a sufficiently large number of data samples as training data. When fed with a limited data... Read More about Learning from Few Samples with Memory Network.

Towards an Accurate Identification of Pyloric Neuron Activity with VSDi (2017)
Presentation / Conference Contribution
dos Santos, F., Andras, P., & Lam, K. (2017). Towards an Accurate Identification of Pyloric Neuron Activity with VSDi. In Artificial Neural Networks and Machine Learning – ICANN 2017 (121-128). https://doi.org/10.1007/978-3-319-68600-4_15

Voltage-sensitive dye imaging (VSDi) which enables simultaneous optical recording of many neurons in the pyloric circuit of the stomatogastric ganglion is an important technique to supplement electrophysiological recordings. However, utilising the te... Read More about Towards an Accurate Identification of Pyloric Neuron Activity with VSDi.

Improve deep learning with unsupervised objective (2017)
Presentation / Conference Contribution
Zhang, S., Huang, K., Zhang, R., & Hussain, A. (2017). Improve deep learning with unsupervised objective. . https://doi.org/10.1007/978-3-319-70087-8_74

We propose a novel approach capable of embedding the unsupervised objective into hidden layers of the deep neural network (DNN) for preserving important unsupervised information. To this end, we exploit a very simple yet effective unsupervised method... Read More about Improve deep learning with unsupervised objective.

Building identity in online environments: an Information Science perspective (2017)
Presentation / Conference Contribution
Ryan, F. V. C., Cruickshank, P., Hall, H., & Lawson, A. (2017, October). Building identity in online environments: an Information Science perspective. Presented at Annual Meeting of The Association for Information Science & Technology, Washington D.C., US

The research presented in this poster is concerned with the ways in which people use information to build identities for themselves online with reference to the themes of personal reputation management. To date these two themes have been under-explor... Read More about Building identity in online environments: an Information Science perspective.

A multiresolution approach to the extraction of the pyloric rhythm (2017)
Presentation / Conference Contribution
dos Santos, F., Andras, P., & Lam, K. (2017, July). A multiresolution approach to the extraction of the pyloric rhythm. Presented at 2017 40th International Conference on Telecommunications and Signal Processing (TSP), Barcelona, Spain

This paper describes our work toward the development of a computationally robust methodology to identify the pyloric neurons in the stomatogastric ganglion of Cancer pagurus using voltage-sensitive dye imaging. The multi-resolution signal decompositi... Read More about A multiresolution approach to the extraction of the pyloric rhythm.

A Machine Learning Approach to Detect Router Advertisement Flooding Attacks in Next-Generation IPv6 Networks (2017)
Journal Article
Anbar, M., Abdullah, R., Al-Tamimi, B. N., & Hussain, A. (2018). A Machine Learning Approach to Detect Router Advertisement Flooding Attacks in Next-Generation IPv6 Networks. Cognitive Computation, 10(2), 201-214. https://doi.org/10.1007/s12559-017-9519-8

Router advertisement (RA) flooding attack aims to exhaust all node resources, such as CPU and memory, attached to routers on the same link. A biologically inspired machine learning-based approach is proposed in this study to detect RA flooding attack... Read More about A Machine Learning Approach to Detect Router Advertisement Flooding Attacks in Next-Generation IPv6 Networks.