A Multi-attributes-based Trust Model of Internet of Vehicle (2019)
Presentation / Conference Contribution
Ou, W., Luo, E., Tan, Z., Xiang, L., Yi, Q., & Tian, C. (2019, December). A Multi-attributes-based Trust Model of Internet of Vehicle. Presented at 13th International Conference on Network and System Security, Sapporo, Japan

Internet of Vehicle (IoV) is an open network and it changes in constant, where there are large number of entities. Effective way to keep security of data in IoV is to establish a trustworthy mechanism. Through transmission and dissemination of trust,... Read More about A Multi-attributes-based Trust Model of Internet of Vehicle.

Finding Fair Negotiation Algorithms to Reduce Peak Electricity Consumption in Micro Grids (2019)
Presentation / Conference Contribution
Powers, S. T., Meanwell, O., & Cai, Z. (2019, June). Finding Fair Negotiation Algorithms to Reduce Peak Electricity Consumption in Micro Grids. Presented at 17th International Conference on Practical Applications of Agents and Multi-Agent Systems, Avila, Spain

Reducing peak electricity consumption is important to maximise use of renewable energy sources, and reduce the total amount of capacity required on a grid. Most approaches use a centralised optimisation algorithm run by a utility company. Here we dev... Read More about Finding Fair Negotiation Algorithms to Reduce Peak Electricity Consumption in Micro Grids.

Quantifying the effects of increasing user choice in MAP-Elites applied to a Workforce Scheduling and Routing Problem. (2019)
Presentation / Conference Contribution
Urquhart, N., Hart, E., & Hutcheson, W. (2019, April). Quantifying the effects of increasing user choice in MAP-Elites applied to a Workforce Scheduling and Routing Problem. Presented at EvoStar2019: International Conference on the Applications of Evolutionary Computation, Leipzig

Quality-diversity algorithms such as MAP-Elites provide a means of supporting the users when finding and choosing solutions to a problem by returning a set of solutions which are diverse according to set of user-defined features. The number of soluti... Read More about Quantifying the effects of increasing user choice in MAP-Elites applied to a Workforce Scheduling and Routing Problem..

Wattom: a Consumption and Grid Aware Smart Plug with Mid-air Controls (2019)
Presentation / Conference Contribution
Quintal, F., Esteves, A., Caires, F., Baptiste, V., & Mendes, P. (2019, March). Wattom: a Consumption and Grid Aware Smart Plug with Mid-air Controls. Presented at 13th International Conference on Tangible, Embedded, and Embodied Interaction (ACM TEI), Tempe, Arizona

This paper presents Wattom, a highly interactive ambient eco-feedback smart plug that aims to support a more sustainable use of electricity by being tightly coupled to users' energy-related activities. We describe three use cases of the system: using... Read More about Wattom: a Consumption and Grid Aware Smart Plug with Mid-air Controls.

Designing Motion Matching for Real-World Applications: Lessons from Realistic Deployments (2019)
Presentation / Conference Contribution
Verweij, D., Esteves, A., Bakker, S., & Khan, V.-J. (2019, March). Designing Motion Matching for Real-World Applications: Lessons from Realistic Deployments. Presented at 13th International Conference on Tangible, Embedded, and Embodied Interaction (ACM TEI), Tempe, Arizona

Amongst the variety of (multi-modal) interaction techniques that are being developed and explored, the Motion Matching paradigm provides a novel approach to selection and control. In motion matching, users interact by rhythmically moving their bodies... Read More about Designing Motion Matching for Real-World Applications: Lessons from Realistic Deployments.

A new security approach for the spectrum access in vehicular networks (2019)
Presentation / Conference Contribution
Alsarhan, A., Al-Dubai, A., Kilani, Y., & Alkhalidy, M. (2019, February). A new security approach for the spectrum access in vehicular networks. Presented at ICDS 2019 : The Thirteenth International Conference on Digital Society and eGovernments, Athens, Greece

Vehicular ad hoc networks (VANETs) have been instrumental in intelligent transportation systems that enhances road safety and road management significantly. This technology enables communication among vehicles where drivers can share road information... Read More about A new security approach for the spectrum access in vehicular networks.

A Cooperative Learning Approach for the Quadratic Knapsack Problem (2018)
Presentation / Conference Contribution
Lalla-Ruiz, E., Segredo, E., & Voß, S. (2018, June). A Cooperative Learning Approach for the Quadratic Knapsack Problem. Presented at Learning and Intelligent Optimization Conference (LION12), Kalamata, Greece

The Quadratic Knapsack Problem (QKP) is a well-known optimization problem aimed to maximize a quadratic objective function subject to linear capacity constraints. It has several applications in different fields such as telecommunications, graph theor... Read More about A Cooperative Learning Approach for the Quadratic Knapsack Problem.

A supervised energy monitoring-based machine learning approach for anomaly detection in a clean water supply system (2018)
Presentation / Conference Contribution
Robles-Durazno, A., Moradpoor, N., McWhinnie, J., & Russell, G. (2018, June). A supervised energy monitoring-based machine learning approach for anomaly detection in a clean water supply system. Presented at Cyber Security 2018: 2018 International Conference on Cyber Security and Protection of Digital Services, Glasgow, United Kingdom

Industrial Control Systems are part of our daily life in industries such as transportation, water, gas, oil, smart cities, and telecommunications. Technological development over time have improved their components including operating system platforms... Read More about A supervised energy monitoring-based machine learning approach for anomaly detection in a clean water supply system.

DNA Sequence Based Medical Image Encryption Scheme (2018)
Presentation / Conference Contribution
Khan, J. S., Ahmad, J., Abbasi, S. F., Ali, A., & Kayhan, S. K. (2018, September). DNA Sequence Based Medical Image Encryption Scheme. Presented at 2018 10th Computer Science and Electronic Engineering (CEEC), Colchester, United Kingdom

Medical consultants and doctors store and update patients confidential information on Internet cloud computing platforms. These days, securing medical images from eavesdroppers is one of the most challenging and significant research areas. Due to var... Read More about DNA Sequence Based Medical Image Encryption Scheme.

Collaborative Computing: Networking, Applications and Worksharing: 13th International Conference, CollaborateCom 2017, Edinburgh, UK, December 11–13, 2017, Proceedings (2018)
Presentation / Conference Contribution
(2017, December). Collaborative Computing: Networking, Applications and Worksharing: 13th International Conference, CollaborateCom 2017, Edinburgh, UK, December 11–13, 2017, Proceedings. Presented at CollaborateCom 2017, Edinburgh, UK

This book constitutes the thoroughly refereed proceedings of the 13th International Conference on Collaborative Computing: Networking, Applications, and Worksharing, CollaborateCom 2017, held in Edinburgh, UK, in December 2017. The 65 papers presente... Read More about Collaborative Computing: Networking, Applications and Worksharing: 13th International Conference, CollaborateCom 2017, Edinburgh, UK, December 11–13, 2017, Proceedings.

Socio-environmental Health. Exploring risk and resource spaces within urban environments. An interdisciplinary enquiry. (2018)
Presentation / Conference Contribution
Carnegie, E., Reid, A., Deakin, M., & Inglis, G. (2018, September). Socio-environmental Health. Exploring risk and resource spaces within urban environments. An interdisciplinary enquiry. Paper presented at Space and Poverty (Salzburg Conference in Interdisciplinary Poverty Research)

Regenerative spaces (good for health, environment and the planet) are essential for human flourishing. Findings from previous research suggest an association between spatial patterning and health outcomes (Hagedoorn et al. 2016; Meijer et al. 2012; P... Read More about Socio-environmental Health. Exploring risk and resource spaces within urban environments. An interdisciplinary enquiry..

Vulnerability Assessment of Objective Function of RPL Protocol for Internet of Things (2018)
Presentation / Conference Contribution
Semedo, F., Moradpoor, N., & Rafiq, M. (2018, September). Vulnerability Assessment of Objective Function of RPL Protocol for Internet of Things. Presented at 11th International Conference On Security Of Information and Networks, Cardiff, United Kingdom

The Internet of Things (IoT) can be described as the ever-growing global network of objects with built-in sensing and communication interfaces such as sensors, Global Positioning devices (GPS) and Local Area Network (LAN) interfaces. Security is by f... Read More about Vulnerability Assessment of Objective Function of RPL Protocol for Internet of Things.

Intertwining and NCA Maps Based New Image Encryption Scheme (2018)
Presentation / Conference Contribution
Khan, F. A., Ahmed, J., Ahmad, J., Khan, J. S., & Stankovic, V. (2018, August). Intertwining and NCA Maps Based New Image Encryption Scheme. Presented at 2018 International Conference on Computing, Electronics & Communications Engineering (iCCECE), Southend, United Kingdom

In this digital era, the Internet is a main source of communication. Due to exponential advancement in Internet technologies, transmission of multimedia data is very common now. However, transmitting sensitive information over the Internet is always... Read More about Intertwining and NCA Maps Based New Image Encryption Scheme.

Evolution of a Functionally Diverse Swarm via a Novel Decentralised Quality-Diversity Algorithm (2018)
Presentation / Conference Contribution
Hart, E., Steyven, A. S. W., & Paechter, B. (2018, July). Evolution of a Functionally Diverse Swarm via a Novel Decentralised Quality-Diversity Algorithm. Presented at GECCO 2018, Kyoto, Japan

The presence of functionality diversity within a group has been demonstrated to lead to greater robustness, higher performance and increased problem-solving ability in a broad range of studies that includes insect groups, human groups and swarm robot... Read More about Evolution of a Functionally Diverse Swarm via a Novel Decentralised Quality-Diversity Algorithm.

Reliable and Energy-Efficient Two Levels Unequal Clustering Mechanism for Wireless Sensor Networks (2018)
Presentation / Conference Contribution
Ali, A. E., Al-Dubai, A., Romdhani, I., & Eshaftri, M. (2018, June). Reliable and Energy-Efficient Two Levels Unequal Clustering Mechanism for Wireless Sensor Networks. Presented at The 16th IEEE International Conference on Smart City (IEEE SmartCity-2018), Exeter

In Wireless Sensor Networks, clustering sensor nodes into disjoint groups is widely used to achieve load balance and increase network lifetime. In particular, traditional unequal clustering approaches where small clusters located close to the base st... Read More about Reliable and Energy-Efficient Two Levels Unequal Clustering Mechanism for Wireless Sensor Networks.

When Universal Access does not go to plan: Lessons to be learned (2018)
Presentation / Conference Contribution
Keates, S. (2018, July). When Universal Access does not go to plan: Lessons to be learned. Presented at International Conference on Universal Access in Human-Computer Interaction UAHCI 2018: Universal Access in Human-Computer Interaction. Methods, Technologies, and Users, Las Vegas, USA

While the theory of designing for Universal Access is increasingly understood, there remain persistent issues over realising products and systems that meet the goal of being accessible and usable by the broadest possible set of users. Clearly product... Read More about When Universal Access does not go to plan: Lessons to be learned.

Two Communities, One Topic: Exploring the British Reddit community split based on perceived biases (2018)
Presentation / Conference Contribution
Clavie, B., & Moradpoor, N. (2018, May). Two Communities, One Topic: Exploring the British Reddit community split based on perceived biases. Poster presented at 10th ACM Conference on Web Science, Amsterdam

This article explores a perceived bias between two British reddit communities dedicated to discussing British politics.We analyse the popular sources favoured by each community and study semantic indicators that would be indicative of a bias. Althoug... Read More about Two Communities, One Topic: Exploring the British Reddit community split based on perceived biases.

Maker Movements, Do-It-Yourself Cultures and Participatory Design: Implications for HCI Research (2018)
Presentation / Conference Contribution
Smyth, M., Helgason, I., Kresin, F., Balestrini, M., Unteidig, A. B., Lawson, S., Gaved, M., Taylor, N., Auger, J., Hansen, L. K., Schuler, D. C., Woods, M., & Dourish, P. (2018, April). Maker Movements, Do-It-Yourself Cultures and Participatory Design: Implications for HCI Research. Presented at 2018 CHI Conference on Human Factors in Computing Systems - CHI '18, Montreal, Canada

Falling costs and the wider availability of computational components, platforms and ecosystems have enabled the expansion of maker movements and DIY cultures. This can be considered as a form of democratization of technology systems design, in alignm... Read More about Maker Movements, Do-It-Yourself Cultures and Participatory Design: Implications for HCI Research.

A new Zigbee-based device for measuring visual reaction time in sport activities (2018)
Presentation / Conference Contribution
Ali, B. B., Dugas, É., Naceur, A., & Romdhani, I. (2017, May). A new Zigbee-based device for measuring visual reaction time in sport activities. Presented at 2017 International Conference on Engineering & MIS (ICEMIS)

There is a growing demand for smart tools and devices that measure visual reaction time during sports and physical activities in outdoor environments. However, one of the major problems is the need to maintain an on-time 1 pulse per second (pps) refe... Read More about A new Zigbee-based device for measuring visual reaction time in sport activities.

Leveraging multiple datasets for deep leaf counting (2018)
Presentation / Conference Contribution
Dobrescu, A., Giuffrida, M. V., & Tsaftaris, S. A. (2017, October). Leveraging multiple datasets for deep leaf counting. Presented at 2017 IEEE International Conference on Computer Vision Workshops (ICCVW), Venice, Italy

The number of leaves a plant has is one of the key traits (phenotypes) describing its development and growth. Here, we propose an automated, deep learning based approach for counting leaves in model rosette plants. While state-of-the-art results on l... Read More about Leveraging multiple datasets for deep leaf counting.