All Outputs (473)

Fault-tolerant AI-driven intrusion detection system for the Internet of Things (2021)
Journal Article

Internet of Things (IoT) has emerged as a key component of all advanced critical infrastructures. However, with the challenging nature of IoT, new security breaches have been introduced, especially against the Routing Protocol for Low-power and Lossy... Read More about Fault-tolerant AI-driven intrusion detection system for the Internet of Things.

The likelihood of Braess' paradox in traffic networks (2021)
Book Chapter

The well-known Braess' paradox illustrates situations when adding a new link to a traffic network might increase congestion in the network. In this article, we announce a number of new results devoted to the probability of Braess' paradox to occur in... Read More about The likelihood of Braess' paradox in traffic networks.

Adversarial reconstruction loss for domain generalization (2021)
Journal Article

The biggest fear when deploying machine learning models to the real world is their ability to handle the new data. This problem is significant especially in medicine, where models trained on rich high-quality data extracted from large hospitals do no... Read More about Adversarial reconstruction loss for domain generalization.

The case for model-driven interpretability of delay-based congestion control protocols (2021)
Journal Article

Analyzing and interpreting the exact behavior of new delay-based congestion control protocols with complex non-linear control loops is exceptionally difficult in highly variable networks such as cellular networks. This paper proposes a Model-Driven I... Read More about The case for model-driven interpretability of delay-based congestion control protocols.

Deep neural network-based application partitioning and scheduling for hospitals and medical enterprises using IoT assisted mobile fog cloud (2021)
Journal Article

These days, fog-cloud based healthcare application partitioning techniques have been growing progressively. However, existing static fog-cloud based application partitioning methods are static and cannot adopt dynamic changes in the dynamic environme... Read More about Deep neural network-based application partitioning and scheduling for hospitals and medical enterprises using IoT assisted mobile fog cloud.

Futility of being selfish in optimized traffic (2021)
Journal Article

Optimizing traffic flow is essential for easing congestion. However, even when globally optimal, coordinated, and individualized routes are provided, users may choose alternative routes which offer lower individual costs. By analyzing the impact of s... Read More about Futility of being selfish in optimized traffic.

Leeching (2020)
Exhibition / Performance

This collaboration with writer Lizzie Lloyd explored the parasitic opportunities available when hijacking a Zoom feed. Part of the On Edge symposium in October 2020, organised by Young In Hong, Leeching drew materials from the artworks and discussion... Read More about Leeching.

Citation sentiment changes analysis (2020)
Preprint / Working Paper

Metrics for measuring the citation sentiment changes were introduced. Citation sentiment changes can be observed from global citation sentiment sequences (GCSSs). With respect to a cited paper, the citation sentiment sequences were analysed across a... Read More about Citation sentiment changes analysis.

Run-time power modelling in embedded GPUs with dynamic voltage and frequency scaling (2020)
Presentation / Conference Contribution

This paper investigates the application of a robust CPU-based power modelling methodology that performs an automatic search of explanatory events derived from performance counters to embedded GPUs. A 64-bit Tegra TX1 SoC is configured with DVFS enabl... Read More about Run-time power modelling in embedded GPUs with dynamic voltage and frequency scaling.

Sparse matrix-dense matrix multiplication on heterogeneous CPU+FPGA embedded system (2020)
Presentation / Conference Contribution

Embedded intelligence is becoming the primary driver for new applications in industry, healthcare, and automotive, to name a few. The main characteristics of these applications are high computational demand, real-time interaction with the environment... Read More about Sparse matrix-dense matrix multiplication on heterogeneous CPU+FPGA embedded system.

Trust-aware and cooperative routing protocol for IoT security (2020)
Journal Article

The resource-constrained nature of IoT objects makes the Routing Protocol for Low-power and Lossy Networks (RPL) vulnerable to several attacks. Although RPL specification provides encryption protection to control messages, RPL is still vulnerable to... Read More about Trust-aware and cooperative routing protocol for IoT security.

OGC citizen science interoperability experiment engineering report (2020)
Report

Rethinking professional development for public engagement with research: A way to improve uptake and impact of training? (2020)
Journal Article

Training is often cited as key to embedding public engagement in universities. The literature and professional discussions on public engagement training tend to focus on the training intervention itself (for example, the content and delivery formats)... Read More about Rethinking professional development for public engagement with research: A way to improve uptake and impact of training?.

How can machine learning support the practice of modeling and simulation? —A review and directions for future research (2020)
Presentation / Conference Contribution

The use of Machine Learning (ML) has achieved a significant momentum across a very wide range of domains. This paper aims to provide a meeting point for discussing the integration of Modeling and Simulation (M&S) with ML. The discussion presents argu... Read More about How can machine learning support the practice of modeling and simulation? —A review and directions for future research.

IoT-DMCP: An IoT data management and control platform for smart cities (2019)
Presentation / Conference Contribution

This paper presents a design and implementation of a data management platform to monitor and control smart objects in the Internet of Things (IoT). This is through IPv4/IPv6, and by combining IoT specific features and protocols such as CoAP, HTTP and... Read More about IoT-DMCP: An IoT data management and control platform for smart cities.

Decision support process for selection of an optimal enterprise architecture framework for e-government implementation (2019)
Journal Article

The paper discusses the findings of the case study of applying multiple-criteria decision-making (MCDM) method to select attributes of the Enterprise Architecture (EA) frameworks for an e-Government implementation in a developing country. The paper f... Read More about Decision support process for selection of an optimal enterprise architecture framework for e-government implementation.

Finale! (2019)
Other

For voices and mixed ensemble. Commissioned for the Finale of Age Against the Machine, commissioned by Trinity Laban Conservatoire of Music and Dance Learning and Participation. Performed at Trinity Laban Conservatoire on 6 October 2019. Co-collabora... Read More about Finale!.

Accessing and integrating citizen science sensor data: Evaluation of OGC sensor observation service implementations (2019)
Presentation / Conference Contribution

A step towards the embedding formula for the ‘varying’ Robin half-plane diffraction (2019)
Presentation / Conference Contribution

A study of the acoustic diffraction by a halfplane, subject to ‘varying’ Robin boundary conditions is discussed. The problem is approached by evaluating the diffraction coefficient, which contains all the necessary information for the description of... Read More about A step towards the embedding formula for the ‘varying’ Robin half-plane diffraction.

Nineteen (2019)
Digital Artefact

Album of 8 works, made using synthesis, field recording and generative techniques.