Skip to main content

Research Repository

Advanced Search

Outputs (245)

Focusing on lactate shuttle: a model of brain metabolism analyzed with CSP (2019)
Presentation / Conference Contribution
Patsatzis, D., Tingas, S., Goussis, D. A., & Mani Sarathy, S. (2019, February). Focusing on lactate shuttle: a model of brain metabolism analyzed with CSP. Paper presented at 10th International Conference Dynamical Systems Applied to Biology and Natural Sciences (DSABNS), Napoli, Italy

The mammalian brain utilizes glucose as its main source of energy. However,it has been recently discovered that lactate can also be considered important as a fuel and a signaling molecule in neuronal activity, especially during neuronalactivation. Th... Read More about Focusing on lactate shuttle: a model of brain metabolism analyzed with CSP.

Towards a High-Performance Modelica Compiler (2019)
Presentation / Conference Contribution
Agosta, G., Baldino, E., Casella, F., Cherubin, S., Leva, A., & Terraneo, F. (2019, March). Towards a High-Performance Modelica Compiler. Presented at The 13th International Modelica Conference, Regensburg, Germany

The use of Modelica as a modelling and simulation language is progressively replacing hand-tuned simulation code written in traditional imperative programming languages. This adoption is fuelled by the availability of libraries to target different ap... Read More about Towards a High-Performance Modelica Compiler.

The interaction between people, information and innovation: information literacy to underpin innovative work behaviour in a Finnish organisation (2019)
Presentation / Conference Contribution
Middleton, L., Hall, H., Muir, L., & Raeside, R. (2018, November). The interaction between people, information and innovation: information literacy to underpin innovative work behaviour in a Finnish organisation. Presented at ASIS&T 2018 Annual Meeting, Vancouver

Workplace learning and employee-led innovation are related. For example, mistakes made when learning may spur innovation. Investigated in this paper is the role of information literacy in the learning of innovative work behaviour in the workplace, an... Read More about The interaction between people, information and innovation: information literacy to underpin innovative work behaviour in a Finnish organisation.

Efficiency Improvement of a Class E2 Converter for Low Power Inductive Links (2019)
Presentation / Conference Contribution
Bati, A., Luk, P. C., Aldhaher, S., See, C. H., Abd-Alhameed, R. A., & Excell, P. S. (2019). Efficiency Improvement of a Class E2 Converter for Low Power Inductive Links. . https://doi.org/10.1109/iwed.2019.8664221

This work presents a model of a Class E 2 converter for wireless medium power transfer applications. The converter operates at frequency of 200 kHz and consists of an inductive link with its primary coil driven by a class E inverter and the secondary... Read More about Efficiency Improvement of a Class E2 Converter for Low Power Inductive Links.

A New Load-Balancing Aware Objective Function for RPL's IoT Networks (2019)
Presentation / Conference Contribution
Ghaleb, B., Al-Dubai, A., Ekonomou, E., Gharib, W., Mackenzi, L., & Bani Khala, M. (2018, June). A New Load-Balancing Aware Objective Function for RPL's IoT Networks. Presented at 2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS), Exeter

The IPv6 Routing Protocol for Low-power and Lossy Networks (RPL) has been recently standardized as the de facto solution for routing in the context of the emerging Internet of Things (IoT) paradigm. RPL, along with other standards, has provided a bas... Read More about A New Load-Balancing Aware Objective Function for RPL's IoT Networks.

Predicting Malicious Insider Threat Scenarios Using Organizational Data and a Heterogeneous Stack-Classifier (2019)
Presentation / Conference Contribution
Hall, A. J., Pitropakis, N., Buchanan, W. J., & Moradpoor, N. (2018, December). Predicting Malicious Insider Threat Scenarios Using Organizational Data and a Heterogeneous Stack-Classifier. Presented at International Workshop on Big Data Analytics for Cyber Threat Hunting, Seattle, WA, USA

Insider threats continue to present a major challenge for the information security community. Despite constant research taking place in this area; a substantial gap still exists between the requirements of this community and the solutions that are cu... Read More about Predicting Malicious Insider Threat Scenarios Using Organizational Data and a Heterogeneous Stack-Classifier.

The GIFT Framework: Give Visitors the Tools to Tell Their Own Stories (2019)
Presentation / Conference Contribution
Løvlie, A. S., Benford, S., Spence, J., Wray, T., Hviid Mortensen, C., Olesen, A., …Waern, A. (2019). The GIFT Framework: Give Visitors the Tools to Tell Their Own Stories.

GIFT is an ongoing EU-funded research project developing hybrid visitor experiences: mixed reality designs that complement, challenge, or overlay physical visits with digital content. Through design exploration of two concepts focusing on gifting and... Read More about The GIFT Framework: Give Visitors the Tools to Tell Their Own Stories.

Measuring and testing the scalability of cloud-based software services (2019)
Presentation / Conference Contribution
Al-Said Ahmad, A., & Andras, P. (2018, October). Measuring and testing the scalability of cloud-based software services. Presented at 2018 Fifth International Symposium on Innovation in Information and Communication Technology (ISIICT), Amman, Jordan

Performance and scalability testing and measurements of cloud-based software services are critically important in the context of rapid growth of cloud computing and supporting the delivery of these services. Cloud-based software services performance... Read More about Measuring and testing the scalability of cloud-based software services.

Deriving Machine to Machine (M2M) Traffic Model from Communication Model (2019)
Presentation / Conference Contribution
Barakat, B., Keates, S., Arshad, K., & Wassell, I. J. (2018, October). Deriving Machine to Machine (M2M) Traffic Model from Communication Model. Presented at 2018 Fifth International Symposium on Innovation in Information and Communication Technology (ISIICT), Philadelphia University, Jordan

The typical traffic models proposed in literature can be considered as heuristic models since they only reflect the stochastic characteristic of the generated traffic. In this paper, we propose a model for M2M communications that generates the traffi... Read More about Deriving Machine to Machine (M2M) Traffic Model from Communication Model.