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Maker Movements, Do-It-Yourself Cultures and Participatory Design: Implications for HCI Research

Conference Proceeding
Smyth, M., Helgason, I., Kresin, F., Balestrini, M., Unteidig, A. B., Lawson, S., …Dourish, P. (2018)
Maker Movements, Do-It-Yourself Cultures and Participatory Design: Implications for HCI Research. In CHI EA '18 Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systemshttps://doi.org/10.1145/3170427.3170604
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 cons...

A Review of Predictive Quality of Experience Management in Video Streaming Services

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 als...

Drizzle Algorithm

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 al...

Lightweighted and energy-aware MIKEY-Ticket for e-health applications in the context of internet of things

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 circumstanc...

Load Balancing Objective Function in RPL draft-qasem-roll-rpl-load-balancing-01

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 lif...

A new Zigbee-based device for measuring visual reaction time in sport activities

Conference Proceeding
Ali, B. B., Dugas, É., Naceur, A., & Romdhani, I. (2018)
A new Zigbee-based device for measuring visual reaction time in sport activities. In 2017 International Conference on Engineering & MIS (ICEMIS)https://doi.org/10.1109/icemis.2017.8273005
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 majo...

Self-Learning Power Control in Wireless Sensor Networks

Journal Article
Chincoli, M., & Liotta, A. (2018)
Self-Learning Power Control in Wireless Sensor Networks. Sensors, 18(2), 1-29. https://doi.org/10.3390/s18020375
Current trends in interconnecting myriad smart objects to monetize on Internet of Things applications have led to high-density communications in wireless sensor networks. This...

Decentralized dynamic understanding of hidden relations in complex networks

Journal Article
Mocanu, D. C., Exarchakos, G., & Liotta, A. (2018)
Decentralized dynamic understanding of hidden relations in complex networks. Scientific Reports, 8(1), https://doi.org/10.1038/s41598-018-19356-4
Almost all the natural or human made systems can be understood and controlled using complex networks. This is a difficult problem due to the very large number of elements in s...

Leveraging multiple datasets for deep leaf counting

Conference Proceeding
Dobrescu, A., Giuffrida, M. V., & Tsaftaris, S. A. (2018)
Leveraging multiple datasets for deep leaf counting. https://doi.org/10.1109/ICCVW.2017.243
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 c...

Leaf-based Routing Mechanism for Low-Power and Lossy Networks

Patent
Ghaleb, B., & Al-Dubai, A. (2018)
Leaf-based Routing Mechanism for Low-Power and Lossy Networks. 1800668.4. Intellectual Property Office, UK
Unlike existing solutions, our invention provides a “Leaf-Based” mechanism for establishing the Downward routes in Low-Power and Lossy Networks (LLNs) that seeks to provide a ...