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Props Alive: A Framework for Augmented Reality Stop Motion Animation (2020)
Presentation / Conference Contribution
Casas, L., Kosek, M., & Mitchell, K. (2020). Props Alive: A Framework for Augmented Reality Stop Motion Animation. 2017 IEEE 10th Workshop on Software Engineering and Architectures for Realtime Interactive Systems (SEARIS). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/SEARIS41720.2017.9183487

Stop motion animation evolved in the early days of cinema with the aim to create an illusion of movement with static puppets posed manually each frame. Current stop motion movies introduced 3D printing processes in order to acquire animations more ac... Read More about Props Alive: A Framework for Augmented Reality Stop Motion Animation.

Wattom: Ambient Eco-feedback with Mid-air Input (2019)
Presentation / Conference Contribution
Esteves, A., Quintal, F., Caires, F., Baptista, V., & Mendes, P. (2019). Wattom: Ambient Eco-feedback with Mid-air Input. 2019 5th Experiment International Conference (exp.at'19). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/EXPAT.2019.8876565

This paper presents Wattom, a highly interactive ambient eco-feedback smart plug that aims to promote a more sustainable use of electricity in the home. This paper describes our latest implementation of the Wattom plug, and three system applications.... Read More about Wattom: Ambient Eco-feedback with Mid-air Input.

Algorithm selection using deep learning without feature extraction (2019)
Presentation / Conference Contribution
Alissa, M., Sim, K., & Hart, E. (2019). Algorithm selection using deep learning without feature extraction. GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 198-206). Association for Computing Machinery (ACM). https://doi.org/10.1145/3321707.3321845

We propose a novel technique for algorithm-selection which adopts a deep-learning approach, specifically a Recurrent-Neural Network with Long-Short-Term-Memory (RNN-LSTM). In contrast to the majority of work in algorithm-selection, the approach does... Read More about Algorithm selection using deep learning without feature extraction.

A Cognitive IoE (Internet of Everything) Approach to Ambient-Intelligent Smart Space (2019)
Thesis
Singh Jamnal, G. (2019). A Cognitive IoE (Internet of Everything) Approach to Ambient-Intelligent Smart Space [Doctoral thesis, Edinburgh Napier University]. http://researchrepository.napier.ac.uk/Output/2090321

At present, the United Nations figures claim that the current world population would rise from 7.6 billion to 8.5 billion in 2030 and 9.7 billion in 2050. Therefore by the 2050, 65 percent of world’s population would be living in urban mega-cities an... Read More about A Cognitive IoE (Internet of Everything) Approach to Ambient-Intelligent Smart Space.

Constructing and Evaluating Visualisation Task Classifications: Process and Considerations (2019)
Presentation / Conference Contribution
Kerracher, N., & Kennedy, J. (2019). Constructing and Evaluating Visualisation Task Classifications: Process and Considerations. Computer Graphics Forum, 36(3), 47-59. https://doi.org/10.1111/cgf.13167

Categorising tasks is a common pursuit in the visualisation research community, with a wide variety of taxonomies, typologies, design spaces, and frameworks having been developed over the last three decades. While these classifications are universall... Read More about Constructing and Evaluating Visualisation Task Classifications: Process and Considerations.

Simulating Dynamic Vehicle Routing Problems with Athos (2019)
Presentation / Conference Contribution
Hoffman, B., Guckert, M., Chalmers, K., & Urquhart, N. (2019). Simulating Dynamic Vehicle Routing Problems with Athos. Proceedings of the 33rd International ECMS Conference on Modelling and Simulation ECMS 2019 (33, pp. 296-302). https://doi.org/10.7148/2019-0296

Complex routing problems, such as vehicle routing problems with additional constraints, are both hard to solve and hard to express in a form that is accessible to the human expert and at the same time processible by a computer system that is supposed... Read More about Simulating Dynamic Vehicle Routing Problems with Athos.

Eidolon360 – A VR Experience (2018)
Presentation / Conference Contribution
Hood, B., & Flint, T. (2018). Eidolon360 – A VR Experience. Proceedings of xCoAx 2018.

Eidolon360 is a virtual reality artwork and experience that is interacted with through VR headsets. The viewer, reclining on a bed within the exhibition space, experiences a 360 film, shot within a medical simulation centre, that mimics clinical hosp... Read More about Eidolon360 – A VR Experience.

A Dual-spine Approach to Load Error Repair in a HEMS Sensor Network (2018)
Journal Article
Liu, X., Liu, Q., & Sun, M. (2018). A Dual-spine Approach to Load Error Repair in a HEMS Sensor Network. Computers, Materials & Continua, 57(2), 179-194. https://doi.org/10.32604/cmc.2018.04025

In a home energy management system (HEMS), appliances are becoming diversified and intelligent, so that certain simple maintenance work can be completed by appliances themselves. During the measurement, collection and transmission of electricity load... Read More about A Dual-spine Approach to Load Error Repair in a HEMS Sensor Network.

An optimized Speculative Execution Strategy Based on Local Data Prediction in Heterogeneous Hadoop Environment (2018)
Journal Article
Jin, D., Liu, Q., Liu, X., & Linge, N. (2019). An optimized Speculative Execution Strategy Based on Local Data Prediction in Heterogeneous Hadoop Environment. Journal of Computers, 30(3), 130-142. https://doi.org/10.3966/199115992019063003010

Hadoop is a famous parallel computing framework that is applied to process large-scale data, but there exists such a task in hadoop framework, which is called “Straggling task” and has a serious impact on Hadoop. Speculative execution (SE) is an effe... Read More about An optimized Speculative Execution Strategy Based on Local Data Prediction in Heterogeneous Hadoop Environment.

Multi-reality games: an experience across the entire reality-virtuality continuum (2018)
Presentation / Conference Contribution
Casas, L., Ciccone, L., Çimen, G., Wiedemann, P., Fauconneau, M., Sumner, R. W., & Mitchell, K. (2018). Multi-reality games: an experience across the entire reality-virtuality continuum. Proceedings of the VRCAI2018. ACM Press. https://doi.org/10.1145/3284398.3284411

Interactive play can take very different forms, from playing with physical board games to fully digital video games. In recent years, new video game paradigms were introduced to connect real-world objects to virtual game characters. However, even the... Read More about Multi-reality games: an experience across the entire reality-virtuality continuum.

Cross-Layer Multipath Multichannel MAC protocol for MANETs (2018)
Presentation / Conference Contribution
Mirza, N., Taylor, H., Abdelshafy, M., King, P., Romdhani, I., & Alghamdi, A. (2018). Cross-Layer Multipath Multichannel MAC protocol for MANETs. Proceedings of the International Symposium on Networks, Computers and Communications (ISNCC). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ISNCC.2018.8530886

Utilising multiple disjoint paths in multiple channels can improve network performance by enabling a node to reroute data along discovered paths seamlessly when link failure is detected. However, depending on a stale route to recover from a broken li... Read More about Cross-Layer Multipath Multichannel MAC protocol for MANETs.

Co-creating Enduring Institutions for Socio-Technical Systems: The Complementarity of Content-based and Value-based Modelling Approaches (2018)
Presentation / Conference Contribution
Lewis, P. R., Powers, S. T., & Ekárt, A. (2018). Co-creating Enduring Institutions for Socio-Technical Systems: The Complementarity of Content-based and Value-based Modelling Approaches. In N. Virgo, T. Ikegami, O. Witkowski, M. Oka, R. Suzuki, & H. Iizuka (Eds.), Proceedings of the 2018 Conference on Artificial Life. Massachusetts Institute of Technology Press. https://doi.org/10.1162/isal_a_00026

No abstract available.

Using a task classification in the visualisation design process for task understanding and abstraction: an empirical study (2018)
Presentation / Conference Contribution
Kerracher, N., Kennedy, J. B., & Chalmers, K. (2018). Using a task classification in the visualisation design process for task understanding and abstraction: an empirical study. In J. Johansson, F. Sadlo, & T. Schreck (Eds.), Proceedings of the 2018 Eurographics Conference on Visualization (EuroVis 2018) - Short Papers (pp. 79-83). Eurographics Association. https://doi.org/10.2312/eurovisshort.20181082

Task classifications are widely purported to be useful in the design process, with various suggestions having been made for their use at the different stages. However, little has been written regarding the actual use of task classifications in these... Read More about Using a task classification in the visualisation design process for task understanding and abstraction: an empirical study.

Expanding the Child Visitor Experience – mixing realities in a contemporary sculpture park (2018)
Presentation / Conference Contribution
Hall, L., Flint, T., & Mitsche, N. (2018, May 24-28). Expanding the Child Visitor Experience – mixing realities in a contemporary sculpture park [Paper presentation]. 2nd International Research Symposium in Tourism Hospitality & Events. http://researchrepository.napier.ac.uk/Output/1127658

This research considers how the visitor experience could be enhanced through intertwining and blending the real and virtual, creating a new mixed reality that extended and added to the destination. We discuss work undertaken with Jupiter Artland, a c... Read More about Expanding the Child Visitor Experience – mixing realities in a contemporary sculpture park.

What can we learn from simulating commuters? (2017)
Presentation / Conference Contribution
Urquhart, N. (2017, November 20-21). What can we learn from simulating commuters? [Presentation / Talk]. U!REKA. http://researchrepository.napier.ac.uk/Output/1012636

Commuting affects just about every member of the workforce in the UK, those who do not commute are affected by the congestion and pollution generated by such activities. There is increasing pressure on organisations to adopt practices and measures th... Read More about What can we learn from simulating commuters?.

Relevant 5G Application Scenarios in the Health Domain (2017)
Presentation / Conference Contribution
Thuemmler, C. (2017, September 24). Relevant 5G Application Scenarios in the Health Domain [Paper presentation]. IEEE 5G and Beyond Testbed Workshop, Toronto, Canada.

No abstract available.