All Outputs (630)

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).

MMC modes of delivery in housing: Effects on Housing Association clients. Project Report. Flagship Group (2017)
Report
Oliveira, S., Burch, J., Hutchison, K., Adekola, O., Jaradat, S., & Jones, M. (2017). MMC modes of delivery in housing: Effects on Housing Association clients. Project Report. Flagship Group. Flagship Group

The purpose of this report is to review evidence of MMC application in housing with regards to diverse modes of delivery, lending approaches, customer satisfaction and long-term management/maintenance.The report provides a detailed overview of above... Read More about MMC modes of delivery in housing: Effects on Housing Association clients. Project Report. Flagship Group.

BEETLE² (2017)
Digital Artefact
D'Amico, B., & Pomponi, F. (2017). BEETLE². [http://www.food4rhino.com/app/beetle2]

BEETLE², (Built Environment Efficiency Tool for Low Environmental Externalities) is a tool aimed at promoting an efficient and effective use of resources in the built environment. Beetles can be found anywhere in the world and so do buildings. Beetle... Read More about BEETLE².

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.

The Use of Sedimentation for the Estimation of Aspect Ratios of Charged Cellulose Nanofibrils (2017)
Presentation / Conference Contribution
Onyianta, A. J., & Williams, R. (2017, June). The Use of Sedimentation for the Estimation of Aspect Ratios of Charged Cellulose Nanofibrils. Presented at 3rd International Conference on Natural Fibers ICNF 2017, Braga, Portugal

In this study, the aspect ratios of carboxymethylated and TEMPO-oxidised cellulose nanofibrils (CNF) were estimated by gel point analysis using a sedimentation approach. The flocculation and subsequent sedimentation of the CNF aqueous suspensions, wh... Read More about The Use of Sedimentation for the Estimation of Aspect Ratios of Charged Cellulose Nanofibrils.

Dialogue Design for a Robot-Based Face-Mirroring Game to Engage Autistic Children with Emotional Expressions (2017)
Presentation / Conference Contribution
Chevalier, P., Li, J. J., Ainger, E., Alcorn, A. M., Babovic, S., Charisi, V., Petrovic, S., Schadenberg, B. R., Pellicano, E., & Evers, V. (2017, November). Dialogue Design for a Robot-Based Face-Mirroring Game to Engage Autistic Children with Emotional Expressions. Presented at ICSR 2017, Tsukuba, Japan

We present design strategies for Human Robot Interaction for school-aged autistic children with limited receptive language. Applying these strategies to the DE-ENIGMA project (large EU project addressing emotion recognition in autistic children) supp... Read More about Dialogue Design for a Robot-Based Face-Mirroring Game to Engage Autistic Children with Emotional Expressions.

Towards an Accurate Identification of Pyloric Neuron Activity with VSDi (2017)
Presentation / Conference Contribution
dos Santos, F., Andras, P., & Lam, K. (2017, September). Towards an Accurate Identification of Pyloric Neuron Activity with VSDi. Presented at ICANN 2017: 26th International Conference on Artificial Neural Networks, Alghero, Italy

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, November). Improve deep learning with unsupervised objective. Presented at International Conference on Neural Information Processing, Guangzhou, China

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.

WaveTrace Demo at the Dutch Design Week (2017)
Exhibition / Performance
Verweij, D., Abreu Esteves, A., Khan, V., & Bakker, S. WaveTrace Demo at the Dutch Design Week. Exhibited at Eindhoven, The Netherlands. 21 October 2017 - 29 October 2017

Every design has its own story, a story about ideas, exploring, decisions and adaptations. During Mind the Story, the lecture program that accompanies Mind the Step, the focus is on people involved in the design process. As user, client, organization... Read More about WaveTrace Demo at the Dutch Design Week.

MultiFLEXX - The new multi-analyzer at the cold triple-axis spectrometer FLEXX (2017)
Journal Article
Groitl, F., Toft-Petersen, R., Quintero-Castro, D. L., Meng, S., Lu, Z., Huesges, Z., Le, M. D., Alimov, S., Wilpert, T., Kiefer, K., Gerischer, S., Bertin, A., & Habicht, K. (2017). MultiFLEXX - The new multi-analyzer at the cold triple-axis spectrometer FLEXX. Scientific Reports, 7(1), Article 13637. https://doi.org/10.1038/s41598-017-14046-z

The first experimental characterization of a multiple energy analysis wide angle backend for a cold triple-axis spectrometer is reported. The multi-analyzer module MultiFLEXX employs 155 detection channels which simultaneously probe an extensive rang... Read More about MultiFLEXX - The new multi-analyzer at the cold triple-axis spectrometer FLEXX.

Assessing timber quality. (2017)
Presentation / Conference Contribution
Ridley-Ellis, D. (2017, October). Assessing timber quality. Presented at 1st National Forestry and Aboriculture Student Conference, Moulton College, Moulton, Northamptonshire

Presentation about technology for assessing timber quality, at the Royal Forestry Society Future Foresters Technology Day (1st National Forestry and Aboriculture Student Conference)

Assessing timber quality (2017)
Presentation / Conference Contribution
Ridley-Ellis, D. (2017, October). Assessing timber quality. Presented at Royal Forestry Society Future Technology Conference, Moulton College, Northants

The use of technology for assessing and monitoring timber quality in the forest and at harvesting

SmoothMoves: smooth pursuits head movements for augmented reality. (2017)
Presentation / Conference Contribution
Abreu Esteves, A., Verweij, D., Suraiya, L., Islam, R., Lee, Y., & Oakley, I. (2017, October). SmoothMoves: smooth pursuits head movements for augmented reality. Presented at 30th Annual ACM Symposium on User Interface Software & Technology

SmoothMoves is an interaction technique for augmented reality (AR) based on smooth pursuits head movements. It works by computing correlations between the movements of on-screen targets and the user’s head while tracking those targets. The paper pres... Read More about SmoothMoves: smooth pursuits head movements for augmented reality..

CymaSense: a novel audio-visual therapeutic tool for people on the autism spectrum. (2017)
Presentation / Conference Contribution
McGowan, J., Leplâtre, G., & McGregor, I. (2017, October). CymaSense: a novel audio-visual therapeutic tool for people on the autism spectrum. Presented at Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility - ASSETS '17

Music Therapy has been shown to be an effective intervention for clients with Autism Spectrum Condition (ASC), a lifelong neurodevelopmental condition that can affect people in a number of ways. This paper presents a study evaluating the use of a mul... Read More about CymaSense: a novel audio-visual therapeutic tool for people on the autism spectrum..

Performance Evaluation of a Fragmented Secret Share System (2017)
Presentation / Conference Contribution
Ukwandu, E., Buchanan, W. J., & Russell, G. (2017, June). Performance Evaluation of a Fragmented Secret Share System. Presented at 2017 International Conference On Cyber Situational Awareness, Data Analytics And Assessment (Cyber SA)

There are many risks in moving data into public storage environments, along with an increasing threat around large-scale data leakage. Secret sharing scheme has been proposed as a keyless and resilient mechanism to mitigate this, but scaling through... Read More about Performance Evaluation of a Fragmented Secret Share System.

A New Weight based Rotating Clustering Scheme for WSNs (2017)
Presentation / Conference Contribution
Essa, A., Al-Dubai, A. Y., Romdhani, I., & Esriaftri, M. A. (2017, May). A New Weight based Rotating Clustering Scheme for WSNs. Presented at 2017 International Symposium on Networks, Computers and Communications (ISNCC)

Although energy efficiency in Wireless Sensor Networks (WSNs) has been investigated widely, it is still a challenging dilemma. Clustering mechanisms are among the most widely recommended approaches to sustaining a network throughout its lifetime. Des... Read More about A New Weight based Rotating Clustering Scheme for WSNs.

Nonreciprocity Compensation Combined With Turbo Codes for Secret Key Generation in Vehicular Ad Hoc Social IoT Networks (2017)
Journal Article
Epiphaniou, G., Karadimas, P., Kbaier Ben Ismail, D., Al-Khateeb, H., Dehghantanha, A., & Choo, K.-K. R. (2018). Nonreciprocity Compensation Combined With Turbo Codes for Secret Key Generation in Vehicular Ad Hoc Social IoT Networks. IEEE Internet of Things, 5(4), 2496-2505. https://doi.org/10.1109/jiot.2017.2764384

The physical attributes of the dynamic vehicle-to-vehicle propagation channel can be utilized for the generation of highly random and symmetric cryptographic keys. However, in a physical-layer key agreement scheme, nonreciprocity due to inherent chan... Read More about Nonreciprocity Compensation Combined With Turbo Codes for Secret Key Generation in Vehicular Ad Hoc Social IoT Networks.