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.

Virtualizing the real: a virtual reality contemporary sculpture park for children (2018)
Journal Article
Flint, T., Hall, L., Stewart, F., & Hagan, D. (2018). Virtualizing the real: a virtual reality contemporary sculpture park for children. Digital Creativity, 29(2/3), 191-207. https://doi.org/10.1080/14626268.2018.1511601

This paper discusses a virtual reality experience for a contemporary sculpture park, Jupiter Artland, developed in Minecraft targeting 9-11-year-old children. Issues of fidelity, realism and authenticity are considered, examining the use of Minecraft... Read More about Virtualizing the real: a virtual reality contemporary sculpture park for children.

A Secured Data Management Scheme for Smart Societies in Industrial Internet of Things Environment (2018)
Journal Article
Babar, M., Khan, F., Iqbal, W., Yahya, A., Arif, F., Tan, Z., & Chuma, J. (2018). A Secured Data Management Scheme for Smart Societies in Industrial Internet of Things Environment. IEEE Access, 6, 43088-43099

Smart societies have an increasing demand for quality-oriented services and infrastructure in an Industrial Internet of Things (IIoT) paradigm. Smart urbanization faces numerous challenges. Among them, secured energy Demand Side Management (DSM) is o... Read More about A Secured Data Management Scheme for Smart Societies in Industrial Internet of Things Environment.

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.

An approach to the semantic intelligence cloud (2018)
Thesis
Greenwell, R. An approach to the semantic intelligence cloud. (Thesis). Edinburgh Napier University. http://researchrepository.napier.ac.uk/Output/1255157

Cloud computing is a disruptive technology that aims to provide a utility approach to computing, where users can obtain their required computing resources without investment in infrastructure, computing platforms or services. Cloud computing resource... Read More about An approach to the semantic intelligence cloud.

Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science (2018)
Journal Article
Mocanu, D. C., Mocanu, E., Stone, P., Nguyen, P. H., Gibescu, M., & Liotta, A. (2018). Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science. Nature Communications, 9(1), Article 2383. https://doi.org/10.1038/s41467-018-04316-3

Through the success of deep learning in various domains, artificial neural networks are currently among the most used artificial intelligence methods. Taking inspiration from the network properties of biological neural networks (e.g. sparsity, scale-... Read More about Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science.

Deep Learning Hyper-Parameter Optimization for Video Analytics in Clouds (2018)
Journal Article
Yaseen, M. U., Anjum, A., Rana, O., & Antonopoulos, N. (2019). Deep Learning Hyper-Parameter Optimization for Video Analytics in Clouds. IEEE Transactions on Systems, Man and Cybernetics: Systems, 49(1), 253-264. https://doi.org/10.1109/TSMC.2018.2840341

A system to perform video analytics is proposed using a dynamically tuned convolutional network. Videos are fetched from cloud storage, preprocessed, and a model for supporting classification is developed on these video streams using cloud-based infr... Read More about Deep Learning Hyper-Parameter Optimization for Video Analytics in Clouds.

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.

An Edge-Based Architecture to Support Efficient Applications for Healthcare Industry 4.0 (2018)
Journal Article
Pace, P., Aloi, G., Gravina, R., Caliciuri, G., Fortino, G., & Liotta, A. (2019). An Edge-Based Architecture to Support Efficient Applications for Healthcare Industry 4.0. IEEE Transactions on Industrial Informatics, 15(1), 481-489. https://doi.org/10.1109/tii.2018.2843169

Edge computing paradigm has attracted many interests in the last few years as a valid alternative to the standard cloud-based approaches to reduce the interaction timing and the huge amount of data coming from Internet of Things (IoT) devices toward... Read More about An Edge-Based Architecture to Support Efficient Applications for Healthcare Industry 4.0.

Applications of Blockchain Within Healthcare. (2018)
Journal Article
Bell, L., Buchanan, W. J., Cameron, J., & Lo, O. (2018). Applications of Blockchain Within Healthcare. Blockchain in Healthcare Today,

There are several areas of healthcare and well-being that could be enhanced using blockchain technologies. These include device tracking, clinical trials, pharmaceutical tracing, and health insurance. Within device tracking, hospitals can trace their... Read More about Applications of Blockchain Within Healthcare..

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.

A method for electric load data verification and repair in home environment (2018)
Journal Article
Liu, Q., Li, S., Liu, X., & Linge, N. (2018). A method for electric load data verification and repair in home environment. International Journal of Embedded Systems, 10(3), 248-256. https://doi.org/10.1504/ijes.2018.091788

Home energy management (HEM) and smart home have been popular among people; HEM collects and analyses the electric load data to make the power use safe, reliable, economical, efficient and environmentally friendly. Without the correct data, the corre... Read More about A method for electric load data verification and repair in home environment.

On-Line Building Energy Optimization Using Deep Reinforcement Learning (2018)
Journal Article
Mocanu, E., Mocanu, D. C., Nguyen, P. H., Liotta, A., Webber, M. E., Gibescu, M., & Slootweg, J. G. (2019). On-Line Building Energy Optimization Using Deep Reinforcement Learning. IEEE Transactions on Smart Grid, 10(4), 3698-3708. https://doi.org/10.1109/tsg.2018.2834219

Unprecedented high volumes of data are becoming available with the growth of the advanced metering infrastructure. These are expected to benefit planning and operation of the future power systems and to help customers transition from a passive to an... Read More about On-Line Building Energy Optimization Using Deep Reinforcement Learning.

A Review of Predictive Quality of Experience Management in Video Streaming Services (2018)
Journal Article
Torres Vega, M., Perra, C., De Turck, F., & Liotta, A. (2018). A Review of Predictive Quality of Experience Management in Video Streaming Services. IEEE Transactions on Broadcasting, 64(2), 432-445. https://doi.org/10.1109/tbc.2018.2822869

Satisfying the requirements of devices and users of online video streaming services is a challenging task. It requires not only managing the network quality of service but also to exert real-time control, addressing the user's quality of experience (... Read More about A Review of Predictive Quality of Experience Management in Video Streaming Services.

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.

Drizzle Algorithm (2018)
Report
Ghaleb, B., Al-Dubai, A., Romdhani, I., & Qasem, M. (2018). Drizzle Algorithm. USA: IETF

Trickle algorithm used in RPL routing protocol suffers from some issues related to power, network convergence time and overhead and
load-distribution. To optimize this algorithm for Low-power and Lossy Networks (LLNs), a new algorithm called Dr... Read More about Drizzle Algorithm.

Lightweighted and energy-aware MIKEY-Ticket for e-health applications in the context of internet of things (2018)
Journal Article
Abdmeziem, M. R., Tandjaoui, D., & Romdhani, I. (2018). Lightweighted and energy-aware MIKEY-Ticket for e-health applications in the context of internet of things. International Journal of Sensor Networks, 26(4), 227. https://doi.org/10.1504/ijsnet.2018.090462

E-health applications have emerged as a promising approach to provide unobtrusive and customizable support to elderly and frail people based on their situation and circumstances. However, due to limited resources available in such systems and data pr... Read More about Lightweighted and energy-aware MIKEY-Ticket for e-health applications in the context of internet of things.

Load Balancing Objective Function in RPL draft-qasem-roll-rpl-load-balancing-01 (2018)
Report
Qasem, M., Al-Dubai, A., Romdhani, I., & Ghaleb, B. (2018). Load Balancing Objective Function in RPL draft-qasem-roll-rpl-load-balancing-01. USA: IETF

This document proposes an extended Objective Function(OF) that balances the number of children 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 Net... Read More about Load Balancing Objective Function in RPL draft-qasem-roll-rpl-load-balancing-01.