How autonomous control can improve the performance of logistics networks - a simulation experiment
Thesis
Preinl, T. How autonomous control can improve the performance of logistics networks - a simulation experiment. (Thesis)
Edinburgh Napier University. Retrieved from http://researchrepository.napier.ac.uk/Output/2089989
In this thesis the application of autonomous control concepts to logistics networks is studied by means of a simulation model. This simulation model is based on an actual outb...
A Data-driven Statistical Approach to Customer Behaviour Analysis and Modelling in Online Freemium Games
Thesis
Singh Roy, A. A Data-driven Statistical Approach to Customer Behaviour Analysis and Modelling in Online Freemium Games. (Thesis)
Edinburgh Napier University. Retrieved from http://researchrepository.napier.ac.uk/Output/2090355
The video games industry is one of the most attractive and lucrative segments in the entertainment and digital media, with big business of more than $150 billion worldwide. A ...
Efficient Routing Primitives for Low-power and Lossy Networks in Internet of Things
Thesis
Ghaleb, B. Efficient Routing Primitives for Low-power and Lossy Networks in Internet of Things. (Thesis)
Edinburgh Napier University. Retrieved from http://researchrepository.napier.ac.uk/Output/2070542
At the heart of the Internet of Things (IoTs) are the Low-power and Lossy networks (LLNs), a collection of interconnected battery-operated and resource-constrained tiny device...
Finding Fair Negotiation Algorithms to Reduce Peak Electricity Consumption in Micro Grids
Conference Proceeding
Powers, S. T., Meanwell, O., & Cai, Z. (2019)
Finding Fair Negotiation Algorithms to Reduce Peak Electricity Consumption in Micro Grids. In PAAMS 2019: Advances in Practical Applications of Survivable Agents and Multi-Agent Systems: The PAAMS Collection, 269-272. https://doi.org/10.1007/978-3-030-24209-1_28
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...
Non-intrusive load monitoring and its challenges in a NILM system framework
Journal Article
Liu, Q., Lu, M., Liu, X., & Linge, N. (2019)
Non-intrusive load monitoring and its challenges in a NILM system framework. International Journal of High Performance Computing and Networking, 14(1), 102-111. https://doi.org/10.1504/IJHPCN.2019.099748
With the increasing of energy demand and electricity price, researchers gain more and more interest among the residential load monitoring. In order to feed back the individual...
Quantifying the effects of increasing user choice in MAP-Elites applied to a Workforce Scheduling and Routing Problem.
Conference Proceeding
Urquhart, N., Hart, E., & Hutcheson, W. (2019)
Quantifying the effects of increasing user choice in MAP-Elites applied to a Workforce Scheduling and Routing Problem. In EvoApplications 2019: Applications of Evolutionary Computation, 49-63. https://doi.org/10.1007/978-3-030-16692-2_4
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 ...
Wattom: a Consumption and Grid Aware Smart Plug with Mid-air Controls
Conference Proceeding
Quintal, F., Esteves, A., Caires, F., Baptiste, V., & Mendes, P. (2019)
Wattom: a Consumption and Grid Aware Smart Plug with Mid-air Controls. In TEI '19 Proceedings of the Thirteenth International Conference on Tangible, Embedded, and Embodied Interaction, (307-313). https://doi.org/10.1145/3294109.3295642
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' ...
Designing Motion Matching for Real-World Applications: Lessons from Realistic Deployments
Conference Proceeding
Verweij, D., Esteves, A., Bakker, S., & Khan, V. (2019)
Designing Motion Matching for Real-World Applications: Lessons from Realistic Deployments. In TEI '19 Proceedings of the Thirteenth International Conference on Tangible, Embedded, and Embodied Interaction, (645-656). https://doi.org/10.1145/3294109.3295628
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 cont...
Lightweight Reinforcement Learning for Energy Efficient Communications in Wireless Sensor Networks
Journal Article
Savaglio, C., Pace, P., Aloi, G., Liotta, A., & Fortino, G. (2019)
Lightweight Reinforcement Learning for Energy Efficient Communications in Wireless Sensor Networks. IEEE Access, 7, 29355-29364. https://doi.org/10.1109/access.2019.2902371
High-density communications in wireless sensor networks (WSNs) demand for new approaches to meet stringent energy and spectrum requirements. We turn to reinforcement learning,...
A new security approach for the spectrum access in vehicular networks
Conference Proceeding
Alsarhan, A., Al-Dubai, A., Kilani, Y., & Alkhalidy, M. (2019)
A new security approach for the spectrum access in vehicular networks
Vehicular ad hoc networks (VANETs) have been instrumental in intelligent transportation systems that enhances road safety and road management significantly. This technology en...