Outputs (117)

Atmospheric origins of extreme rainfall in the UK (2019)
Presentation / Conference Contribution

Drawing causal relationships between physical processes and extreme rainfall is important for understand the extent of the impact these events can have. Current techniques fail to capture the causes of extreme rainfall, relying mostly on correlation... Read More about Atmospheric origins of extreme rainfall in the UK.

Towards trusted security context exchange protocol for SDN based low latency networks (2019)
Presentation / Conference Contribution

To overcome the latency issue in real-time communication, a number of research based solutions and architectures are being proposed. In all these, security is not considered an important factor since it causes extra delay in the communication and int... Read More about Towards trusted security context exchange protocol for SDN based low latency networks.

Looking for Novelty In SBSE Problems (2019)
Presentation / Conference Contribution

Search-based software engineering (SBSE) was conceived to support engineers searching for innovative ideas to solve recurrent software engineering problems along the software project lifecycle. However, current approaches require the engineer to form... Read More about Looking for Novelty In SBSE Problems.

Marimo machines: Oscillators, biosensors and actuators (2019)
Journal Article

Background
The green algae balls (Aegagropila linnaei), known as Marimo, are large spherical colonies of live photosynthetic filaments, formed by rolling water currents in freshwater lakes. Photosynthesis therein produces gas bubbles that can attach... Read More about Marimo machines: Oscillators, biosensors and actuators.

Further lower bounds for structure-preserving signatures in asymmetric bilinear groups (2019)
Presentation / Conference Contribution

Structure-Preserving Signatures (SPSs) are a useful tool for the design of modular cryptographic protocols. Recent series of works have shown that by limiting the message space of those schemes to the set of Diffie-Hellman (DH) pairs, it is possible... Read More about Further lower bounds for structure-preserving signatures in asymmetric bilinear groups.

Fun with Interfaces (SVG Interfaces for Musical Expression) (2019)
Presentation / Conference Contribution

In this paper we address the design and implementation of custom controller interfaces, bridging the issue of user mapping between action and sound in interactive music systems. A simple framework utilizing functional specifications for musical inter... Read More about Fun with Interfaces (SVG Interfaces for Musical Expression).

Audio reproduction in virtual reality cinemas – Position paper (2019)
Presentation / Conference Contribution

Virtual Reality (VR) and 360 film have caught the attention of audiences and content creators and emerged as a new media, however, the market penetration of VR and head mounted hardware has remained slow despite the availability of more affordable mo... Read More about Audio reproduction in virtual reality cinemas – Position paper.

A probabilistic logic for resource-bounded multi-agent systems (2019)
Presentation / Conference Contribution

Resource-bounded alternating-time temporal logic (RB-ATL), an extension of Coalition Logic (CL) and Alternating-time Temporal Logic (ATL), allows reasoning about resource requirements of coalitions in concurrent systems. However, many real-world syst... Read More about A probabilistic logic for resource-bounded multi-agent systems.

A novel parallel framework for metaheuristic-based frequent itemset mining (2019)
Presentation / Conference Contribution

Frequent Itemset Mining (FIM) is an important but very time-consuming data mining task. As a result, traditional FIM algorithms are often not scalable to large databases. To address this issue, several metaheuristics have been developed in recent yea... Read More about A novel parallel framework for metaheuristic-based frequent itemset mining.

Symmetry degree measurement and its applications to anomaly detection (2019)
Journal Article

IEEE Anomaly detection is an important technique used to identify patterns of unusual network behavior and keep the network under control. Today, network attacks are increasing in terms of both their number and sophistication. To avoid causing signif... Read More about Symmetry degree measurement and its applications to anomaly detection.