All Outputs (632)

Influence of between-joists bridging elements on static and dynamic response of wood joisted floors (2019)
Journal Article
Khokhar, A., Chui, Y. H., & Smith, I. (2019). Influence of between-joists bridging elements on static and dynamic response of wood joisted floors. Engineering Structures, 188, 362-368. https://doi.org/10.1016/j.engstruct.2019.03.039

Excessive vertical vibration of lightweight floors caused by walking or similar activities can be annoying to building occupants. Previous studies have shown that the vibrational performance of floors having wood joists is enhanced by installing one... Read More about Influence of between-joists bridging elements on static and dynamic response of wood joisted floors.

A Two Year Comparison of Energy and CO2 Emissions of an Industrial Refrigeration Plant after the Installation of a Waste Heat Recovery System (2019)
Presentation / Conference Contribution
Turnbull, R., & Muneer, T. (2019). A Two Year Comparison of Energy and CO2 Emissions of an Industrial Refrigeration Plant after the Installation of a Waste Heat Recovery System. Energy Procedia, 161, 251-258. https://doi.org/10.1016/j.egypro.2019.02.089

The Paris Agreement aims to combat climate change by keeping a global temperature rise this century well below 2oC by the reduction of CO2 production. Scotland aims to be a world leader in the change and has set ambitious targets to meet this commitm... Read More about A Two Year Comparison of Energy and CO2 Emissions of an Industrial Refrigeration Plant after the Installation of a Waste Heat Recovery System.

Computational and natural language processing based studies of hadith literature: a survey (2019)
Journal Article
Azmi, A. M., Al-Qabbany, A. O., & Hussain, A. (2019). Computational and natural language processing based studies of hadith literature: a survey. Artificial Intelligence Review, 52(2), 1369-1414. https://doi.org/10.1007/s10462-019-09692-w

Hadith is one of the most celebrated resources of Classical Arabic text. The hadiths, or Prophetic traditions (tradition for short), are narrations originating from the sayings and conduct of Prophet Muhammad. For Muslims, hadiths are the second most... Read More about Computational and natural language processing based studies of hadith literature: a survey.

Designing Motion Matching for Real-World Applications: Lessons from Realistic Deployments (2019)
Presentation / Conference Contribution
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 Inte

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.

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). 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 Interact

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.

Optimization of multistage membrane distillation system for treating shale gas produced water (2019)
Journal Article
Carrero-Parreño, A., Onishi, V. C., Ruiz-Femenia, R., Salcedo-Díaz, R., Caballero, J. A., & Reyes-Labarta, J. A. (2019). Optimization of multistage membrane distillation system for treating shale gas produced water. Desalination, 460, 15-27. https://doi

Thermal membrane distillation (MD) is an emerging technology to desalinate high-salinity wastewaters, including shale gas produced water to reduce the corresponding water footprint of fracturing operations. In this work, we introduce a rigorous optim... Read More about Optimization of multistage membrane distillation system for treating shale gas produced water.

Whole-life design and resource reuse of a solar water heater in the UK (2019)
Journal Article
Saint, R. M., Pomponi, F., Garnier, C., & Currie, J. I. (2019). Whole-life design and resource reuse of a solar water heater in the UK. Proceedings of the ICE - Engineering Sustainability, 172(3), 153-164. https://doi.org/10.1680/jensu.17.00068

Passive solar systems are often designed primarily with efficiency in mind, and research efforts are concentrated towards gaining an increase in performance. However, due to the multiple materials used, their manufacturing processes, a lifespan that... Read More about Whole-life design and resource reuse of a solar water heater in the UK.

Effects of minimal quantity lubricants reinforced with nano-particles on the performance of carbide drills for drilling nickel-titanium alloys (2019)
Journal Article
Rosnan, R., Murad, M. N., Azmi, A. I., & Shyha, I. (2019). Effects of minimal quantity lubricants reinforced with nano-particles on the performance of carbide drills for drilling nickel-titanium alloys. Tribology International, 136, 58-66. https://doi.org

Drilling of NiTi alloys under two lubricant-coolant strategies; namely flood and minimal quantity nanolubricant; two types of carbides drills, and three cutting speeds was investigated. Progressive tool wear, tool-life, drilling thrust force, surface... Read More about Effects of minimal quantity lubricants reinforced with nano-particles on the performance of carbide drills for drilling nickel-titanium alloys.

Automated strategic visualisations and user confidence (2019)
Thesis
Le Bras, P. (2019). Automated strategic visualisations and user confidence. (Thesis). Heriot-Watt University. Retrieved from http://researchrepository.napier.ac.uk/Output/2884475

Data visualisations aim at providing accessible and interpretable information for people. At a strategic level, such representations can be used to stimulate decision making. We have found that users are however hesitant to exploit unfamiliar visuali... Read More about Automated strategic visualisations and user confidence.

Bi-level multi-objective evolution of a Multi-Layered Echo-State Network Autoencoder for data representations (2019)
Journal Article
Chouikhi, N., Ammar, B., Hussain, A., & Alimi, A. M. (2019). Bi-level multi-objective evolution of a Multi-Layered Echo-State Network Autoencoder for data representations. Neurocomputing, 341, 195-211. https://doi.org/10.1016/j.neucom.2019.03.012

The Multi-Layered Echo-State Network (ML-ESN) is a recently developed, highly powerful type of recurrent neural network. It has succeeded in dealing with several non-linear benchmark problems. On account of its rich dynamics, ML-ESN is exploited in t... Read More about Bi-level multi-objective evolution of a Multi-Layered Echo-State Network Autoencoder for data representations.

Development of a reduced four-component (toluene/n-heptane/iso-octane/ethanol) gasoline surrogate model (2019)
Journal Article
Li, Y., Alfazazi, A., Mohan, B., Alexandros Tingas, E., Badra, J., Im, H. G., & Mani Sarathy, S. (2019). Development of a reduced four-component (toluene/n-heptane/iso-octane/ethanol) gasoline surrogate model. Fuel, 247, 164-178. https://doi.org/10.1016/j

The prospect of blending gasoline fuel with ethanol is being investigated as a potential way to improve the knock residence of the base gasoline. However, one of the drawbacks is a lack of proper understanding of the reason for the non-linear respons... Read More about Development of a reduced four-component (toluene/n-heptane/iso-octane/ethanol) gasoline surrogate model.

Optimal and Fast Real-Time Resource Slicing With Deep Dueling Neural Networks (2019)
Journal Article
Van Huynh, N., Thai Hoang, D., Nguyen, D. N., & Dutkiewicz, E. (2019). Optimal and Fast Real-Time Resource Slicing With Deep Dueling Neural Networks. IEEE Journal on Selected Areas in Communications, 37(6), 1455-1470. https://doi.org/10.1109/jsac.2019.290

Effective network slicing requires an infrastructure/network provider to deal with the uncertain demands and real-time dynamics of the network resource requests. Another challenge is the combinatorial optimization of numerous resources, e.g., radio,... Read More about Optimal and Fast Real-Time Resource Slicing With Deep Dueling Neural Networks.

An experimental and numerical study on the effect of inclination angle of phase change materials thermal energy storage system (2019)
Journal Article
Al Siyabi, I., Khanna, S., Mallick, T., & Sundaram, S. (2019). An experimental and numerical study on the effect of inclination angle of phase change materials thermal energy storage system. Journal of Energy Storage, 23, 57-68. https://doi.org/10.1016/j.

The main purpose of the present study is to investigate the melting characteristics of a PCM cylindrical thermal storage system using experimental and numerical approaches. Three inclination positions are considered from vertical to horizontal. Paraf... Read More about An experimental and numerical study on the effect of inclination angle of phase change materials thermal energy storage system.

How commuting affects subjective wellbeing (2019)
Journal Article
Clark, B., Chatterjee, K., Martin, A., & Davis, A. (2020). How commuting affects subjective wellbeing. Transportation, 47, 2777–2805. https://doi.org/10.1007/s11116-019-09983-9

Commuting between home and work is routinely performed by workers and any wellbeing impacts of commuting will consequently affect a large proportion of the population. This paper presents findings from analyses of the impact of commuting (time and mo... Read More about How commuting affects subjective wellbeing.

"So far back, I'm anonymous": Exploring Student Identity using Photovoice (2019)
Presentation / Conference Contribution
Meharg, D., Cairncross, S., & Varey, A. (2019). "So far back, I'm anonymous": Exploring Student Identity using Photovoice. In 2018 IEEE Frontiers in Education Conference (FIE). https://doi.org/10.1109/FIE.2018.8658441

This Research Full paper presents empirical work focused on the transition experiences of transfer students into computing degrees in Scotland and seeks to understand the complex formation of identity from the student perspective. Drawing on [3]'s wo... Read More about "So far back, I'm anonymous": Exploring Student Identity using Photovoice.

Exploring women's motivations to study computer science (2019)
Presentation / Conference Contribution
Smith, S., Sobolewska, E., Bhardwaj, J., & Fabian, K. (2019). Exploring women's motivations to study computer science. In Proceedings of the Frontiers in Education 2018 Conference. https://doi.org/10.1109/FIE.2018.8658768

This paper presents a study exploring women's decisions, influencers and early experiences of computing to better understand how women's motivations and prior experience affect their decision to study computer science (CS). The emergence of a gender... Read More about Exploring women's motivations to study computer science.

SmartEdge: An end-to-end encryption framework for an edge-enabled smart city application. (2019)
Journal Article
Jan, M. A., Zhang, W., Usman, M., Tan, Z., Khan, F., & Luo, E. (2019). SmartEdge: An end-to-end encryption framework for an edge-enabled smart city application. Journal of Network and Computer Applications, 137, 1-10. https://doi.org/10.1016/j.jnca.2019.0

The Internet of Things (IoT) has the potential to transform communities around the globe into smart cities. The massive deployment of sensor-embedded devices in the smart cities generates voluminous amounts of data that need to be stored and processe... Read More about SmartEdge: An end-to-end encryption framework for an edge-enabled smart city application..

Novel quadratic Bézier triangular and tetrahedral elements using existing mesh generators: Extension to nearly incompressible implicit and explicit elastodynamics in finite strains (2019)
Journal Article
Kadapa, C. (2019). Novel quadratic Bézier triangular and tetrahedral elements using existing mesh generators: Extension to nearly incompressible implicit and explicit elastodynamics in finite strains. International Journal for Numerical Methods in Engine

We present a novel unified finite element framework for performing computationally efficient large strain implicit and explicit elastodynamic simulations using triangular and tetrahedral meshes that can be generated using the existing mesh generators... Read More about Novel quadratic Bézier triangular and tetrahedral elements using existing mesh generators: Extension to nearly incompressible implicit and explicit elastodynamics in finite strains.

DNS of turbulent premixed flames propagating in a channel (2019)
Presentation / Conference Contribution
Song, W., Tingas, S., Hernandez Perez, F., & Im, H. (2019, March). DNS of turbulent premixed flames propagating in a channel. Poster presented at KAUST Research Conference on Future of Fuels and Energy, KAUST, Thuwal, Saudi Arabia

Song, W., Tingas, S., Hernandez Perez, F., & Im, H. (2019, March). DNS of turbulent premixed flames propagating in a channel. Poster presented at KAUST Research Conference on Future of Fuels and Energy, KAUST, Thuwal, Saudi Arabia.

Lightweight Reinforcement Learning for Energy Efficient Communications in Wireless Sensor Networks (2019)
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 prominent method in artificial intelligence, to design an energy-preserv... Read More about Lightweight Reinforcement Learning for Energy Efficient Communications in Wireless Sensor Networks.