All Outputs (811)

Taboo Or Not Taboo: (In)visibilities Of Death, Dying And Bereavement (2020)
Presentation / Conference Contribution
Hård Af Segerstad, Y., Bell, J., Giaxoglou, K., Pitsillides, S., & Yeshua-Katz, D. Taboo Or Not Taboo: (In)visibilities Of Death, Dying And Bereavement. Presented at Annual Conference of the Association of Internet Researchers., 2020

The notion that ‘death is a taboo’ pervades private, public and academic discourses around death, dying and bereavement in contemporary Western societies. The rise of digital media within the last decades further complicates the appreciation of the s... Read More about Taboo Or Not Taboo: (In)visibilities Of Death, Dying And Bereavement.

Soundscape assessment: Towards a validated translation of perceptual attributes in different languages (2020)
Presentation / Conference Contribution
Aletta, F., Oberman, T., Axelsson, Ö., Xie, H., Zhang, Y., Lau, S. K., …Kang, J. (2020). Soundscape assessment: Towards a validated translation of perceptual attributes in different languages. In INTER-NOISE and NOISE-CON Congress and Conference Proceedings 2020 ( 3137-3146)

The recently published ISO/TS 12913-2:2018 standard aims to provide researchers and practitioners around the world with a reliable questionnaire for soundscape characterization. The ISO Technical Specifications report protocols and attributes grounde... Read More about Soundscape assessment: Towards a validated translation of perceptual attributes in different languages.

A Dual Transformer Model for Intelligent Decision Support for Maintenance of Wind Turbines (2020)
Presentation / Conference Contribution
Chatterjee, J., & Dethlefs, N. (2020, July). A Dual Transformer Model for Intelligent Decision Support for Maintenance of Wind Turbines. Presented at 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, UK

© 2020 IEEE. Wind energy is one of the fastest-growing sustainable energy sources in the world but relies crucially on efficient and effective operations and maintenance to generate sufficient amounts of energy and reduce downtime of wind turbines an... Read More about A Dual Transformer Model for Intelligent Decision Support for Maintenance of Wind Turbines.

Temporal Causal Inference in Wind Turbine SCADA Data Using Deep Learning for Explainable AI (2020)
Presentation / Conference Contribution
Chatterjee, J., & Dethlefs, N. Temporal Causal Inference in Wind Turbine SCADA Data Using Deep Learning for Explainable AI. Presented at The Science of Making Torque from Wind (TORQUE 2020), Online, Netherlands

© 2020 Published under licence by IOP Publishing Ltd. Machine learning techniques have been widely used for condition-based monitoring of wind turbines using Supervisory Control & Acquisition (SCADA) data. However, many machine learning models, inclu... Read More about Temporal Causal Inference in Wind Turbine SCADA Data Using Deep Learning for Explainable AI.

Advance care planning: exploration of the public’s understanding. In Abstracts from the 11th EAPC World Research Congress Online, 7th – 9th October 2020 (2020)
Presentation / Conference Contribution
Mcllfatrick, S., Hasson, F., Slater, P., Beck, E., McCloskey, S., Carr, K., Muldrew, D., Bamidele, O., & Hanna-Trainor, L. Advance care planning: exploration of the public’s understanding. In Abstracts from the 11th EAPC World Research Congress Online, 7th – 9th October 2020. Presented at 11th EAPC World Research Congress, Online

Background/aims: Advance care planning, a voluntary process whereby an individual outline their preferences and beliefs, to aid in planning for end of life care, is widely considered an essential step for achieving a `good death”. Raising awareness o... Read More about Advance care planning: exploration of the public’s understanding. In Abstracts from the 11th EAPC World Research Congress Online, 7th – 9th October 2020.

SafeML: Safety Monitoring of Machine Learning Classifiers Through Statistical Difference Measures (2020)
Presentation / Conference Contribution
Aslansefat, K., Sorokos, I., Whiting, D., Tavakoli Kolagari, R., & Papadopoulos, Y. SafeML: Safety Monitoring of Machine Learning Classifiers Through Statistical Difference Measures. Presented at IMBSA: International Symposium on Model-Based Safety and Assessment, Lisbon

Ensuring safety and explainability of machine learning (ML) is a topic of increasing relevance as data-driven applications venture into safety-critical application domains, traditionally committed to high safety standards that are not satisfied with... Read More about SafeML: Safety Monitoring of Machine Learning Classifiers Through Statistical Difference Measures.

An Integrated Approach to Support the Process-Based Certification of Variant-Intensive Systems (2020)
Presentation / Conference Contribution
Bressan, L., de Oliveira, A. L., Campos, F., Papadopoulos, Y., & Parker, D. An Integrated Approach to Support the Process-Based Certification of Variant-Intensive Systems. Presented at Model-Based Safety and Assessment 7th International Symposium, IMBSA 2020, Lisbon, Portugal

© 2020, Springer Nature Switzerland AG. Component-based approaches and software product lines have been adopted by industry to manage the diversity of configurations on safety-critical software. Safety certification demands compliance with standards.... Read More about An Integrated Approach to Support the Process-Based Certification of Variant-Intensive Systems.

Failure Mode Reasoning in Model Based Safety Analysis (2020)
Presentation / Conference Contribution
Jahanian, H., Parker, D., Zeller, M., McIver, A., & Papadopoulos, Y. Failure Mode Reasoning in Model Based Safety Analysis. Presented at International Symposium on Model-Based Safety and Assessment, Lisbon, Portugal

© 2020, Springer Nature Switzerland AG. Failure Mode Reasoning (FMR) is a novel approach for analyzing failure in a Safety Instrumented System (SIS). The method uses an automatic analysis of an SIS program to calculate potential failures in parts of... Read More about Failure Mode Reasoning in Model Based Safety Analysis.

The Promise of Causal Reasoning in Reliable Decision Support for Wind Turbines (2020)
Presentation / Conference Contribution
Chatterjee, J., & Dethlefs, N. (2020, August). The Promise of Causal Reasoning in Reliable Decision Support for Wind Turbines. Paper presented at Fragile Earth: Data Science for a Sustainable Planet. KDD 2020, Virtual Conference

The global pursuit towards sustainable development is leading to increased adaptation of renewable energy sources. Wind turbines are promising sources of clean energy, but regularly suffer from failures and down-times, primarily due to the complex en... Read More about The Promise of Causal Reasoning in Reliable Decision Support for Wind Turbines.

Genetic Algorithms as a Feature Selection Tool in Heart Failure Disease (2020)
Presentation / Conference Contribution
Alabed, A., Kambhampati, C., & Gordon, N. Genetic Algorithms as a Feature Selection Tool in Heart Failure Disease. Presented at Computing 2020, London

A great wealth of information is hidden in clinical datasets, which could be analyzed to support decision-making processes or to better diagnose patients. Feature selection is one of the data pre-processing that selects a set of input features by rem... Read More about Genetic Algorithms as a Feature Selection Tool in Heart Failure Disease.

Realisation of a biocompatible diffraction grating using an ArF excimer laser (2020)
Presentation / Conference Contribution
Aesa, A. A., & Walton, C. D. Realisation of a biocompatible diffraction grating using an ArF excimer laser. Presented at First International Conference of Pure and Engineering Sciences (ICPES2020), Karbala, Iraq

We report the fabrication of a bio-compatible diffraction grating made out chitosan, a derivative of chitin. The diffraction grating has been realised by laser ablation using 193 nm excimer laser. Thin spun coated chitosan films 520 nm thick were use... Read More about Realisation of a biocompatible diffraction grating using an ArF excimer laser.

Use of Digital and 3D Visualisation Technology in Planning for Woodland Expansion. EGU2020-1243 (2020)
Presentation / Conference Contribution
Wang, C., Gimona, A., Compagnucci, A. B., & Jiang, Y. (2020, May). Use of Digital and 3D Visualisation Technology in Planning for Woodland Expansion. EGU2020-1243. Paper presented at EGU General Assembly 2020, Online

Forests and woodlands offer many benefits to people. They can provide timber and food, store carbon to help deal with the effects of climate change, decrease flooding and soil erosion, and provide recreation for people and habitat for a multitude of... Read More about Use of Digital and 3D Visualisation Technology in Planning for Woodland Expansion. EGU2020-1243.

Pyroxene low-temperature plasticity and fragmentation as a record of seismic stress evolution in the lower crust (2020)
Presentation / Conference Contribution
Campbell, L., & Menegon, L. (2020). Pyroxene low-temperature plasticity and fragmentation as a record of seismic stress evolution in the lower crust. In EGU General Assembly 2020. https://doi.org/10.5194/egusphere-egu2020-7380

Seismic rupture of the lower continental crust requires a high failure stress, given large lithostatic stresses and potentially strong rheologies. Several mechanisms have been proposed to generate high stresses at depth, including local amplification... Read More about Pyroxene low-temperature plasticity and fragmentation as a record of seismic stress evolution in the lower crust.

The Nusfjord exhumed earthquake source (Lofoten, Norway): deep crustal seismicity driven by bending of the lower plate during continental collision (2020)
Presentation / Conference Contribution
Menegon, L., Campbell, L., Fagereng, Å., & Pennacchioni, G. (2020). The Nusfjord exhumed earthquake source (Lofoten, Norway): deep crustal seismicity driven by bending of the lower plate during continental collision. In EGU General Assembly 2020. https://doi.org/10.5194/egusphere-egu2020-7129

The origin of earthquakes in the lower crust at depth of 20-40 km, where dominantly ductile deformation is expected, is highly debated. Exhumed networks of lower crustal coeval pseudotachylytes (quenched frictional melt produced during seismic slip)... Read More about The Nusfjord exhumed earthquake source (Lofoten, Norway): deep crustal seismicity driven by bending of the lower plate during continental collision.

Geometry Effect on Photovoltaic-Thermoelectric Transient Performance (2020)
Presentation / Conference Contribution
Shittu, S., Li, G., Zhao, X., & Ma, X. (2019, August). Geometry Effect on Photovoltaic-Thermoelectric Transient Performance. Presented at International Conference on Applied Energy (ICAE 2019), Västerås, Sweden

This paper presents a three-dimensional numerical investigation on the effect of thermoelectric geometry on hybrid photovoltaic-thermoelectric (PV-TE) performance under varying weather conditions. Four thermoelectric (TE) geometries corresponding to... Read More about Geometry Effect on Photovoltaic-Thermoelectric Transient Performance.

Urban road and pavement solar collector system for heat island mitigation: Assessing the beneficial impact on outdoor temperature (2020)
Presentation / Conference Contribution
Nasir, S. D., Xu, W., Vital, B., Pantua, C., Zhou, B., Calautit, J., & Hughes, B. (2020). Urban road and pavement solar collector system for heat island mitigation: Assessing the beneficial impact on outdoor temperature. IOP Conference Series: Earth and Environmental Science, 463(1), Article 012038. https://doi.org/10.1088/1755-1315/463/1/012038

Road renewable energy system has raised much attention from both industrial and academic research on how abundant solar radiation absorbed by road surfaces can be collected while reducing the impact of high surface temperature towards urban environme... Read More about Urban road and pavement solar collector system for heat island mitigation: Assessing the beneficial impact on outdoor temperature.

An innovative use of the arts in an undergraduate curriculum to challenge thinking around diversity and professionalism (2020)
Presentation / Conference Contribution
Hammond, A., Baxter, I., & Pearson, L. (2020, March). An innovative use of the arts in an undergraduate curriculum to challenge thinking around diversity and professionalism. Poster presented at University of York Annual Teaching and Learning Conference

Tutor experience/student feedback had highlighted the challenges in working with students in developing humanistic approaches to care and constructive professional behaviours. ‘Professionalism’ / Diversity as curriculum areas may be met with suspicio... Read More about An innovative use of the arts in an undergraduate curriculum to challenge thinking around diversity and professionalism.

Biosensor for determining average iron content of ferritin by measuring its optical dispersion (2020)
Presentation / Conference Contribution
Gupta, R., Alamrani, N. A., Greenway, G. M., Pamme, N., & Goddard, N. J. Biosensor for determining average iron content of ferritin by measuring its optical dispersion. Presented at SPIE BIOS: Microfluidics, BioMEMS, and Medical Microsystems XVIII, San Francisco, California

© 2020 SPIE. Average iron content of ferritin has a potential to serve as a biomarker for early identification of high-risk trauma patients at point-of-care (PoC). Appropriate therapies can then be administered to reduce morbidity and mortality. Curr... Read More about Biosensor for determining average iron content of ferritin by measuring its optical dispersion.

A Cost Modeling Method Based on AADL2 (2020)
Presentation / Conference Contribution
Mian, Z., Tang, C., Gao, Y., Jia, S., Shi, X., & Chen, J. (2020). A Cost Modeling Method Based on AADL2. In 4th International Conference on System Reliability and Safety (ICSRS) (549-553). https://doi.org/10.1109/ICSRS48664.2019.8987612

The Architecture Analysis and Design Language (AADL) is widely used in the modeling, analysis and verification of the dependability-critical system. Previously, we have implemented the multi-objective (based on dependability and cost) architecture op... Read More about A Cost Modeling Method Based on AADL2.

Semantic Mapping for Model Transformation between AADL2 and HiP-HOPS (2020)
Presentation / Conference Contribution
Mian, Z., Gao, Y., Shi, X., & Tang, C. (2020). Semantic Mapping for Model Transformation between AADL2 and HiP-HOPS. In 4th International Conference on System Reliability and Safety (ICSRS) (539-543). https://doi.org/10.1109/ICSRS48664.2019.8987619

Currently, AADL has gradually become as one of the standards for the architecture design of complex embedded system. It is widely used in aerospace, automotive electronics and other fields for the design and analysis of high dependability-critical sy... Read More about Semantic Mapping for Model Transformation between AADL2 and HiP-HOPS.