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All Outputs (113)

Automating concrete construction: Sustainable social housing in Colombia (2020)
Conference Proceeding
Costa, E., Shepherd, P., Velasco, R., & Hudson, R. (2020). Automating concrete construction: Sustainable social housing in Colombia. In Proceedings of the XXIV International Conference of the Iberoamerican Society of Digital Graphics (254-259). https://doi.org/10.5151/sigradi2020-35

The construction industry is a major source of carbon, and the main culprit is concrete. In addition, productivity for the construction sector is poor, and concrete construction in particular is labour intensive, slow, and costly. This paper introduc... Read More about Automating concrete construction: Sustainable social housing in Colombia.

Robotic apprentices: Leveraging augmented reality for robot training in manufacturing automation (2020)
Conference Proceeding
Costa, E., Duarte, J., & Bilén, S. G. (2020). Robotic apprentices: Leveraging augmented reality for robot training in manufacturing automation. In Proceedings of the XXIV International Conference of the Iberoamerican Society of Digital Graphics (608-616). https://doi.org/10.5151/sigradi2020-84

In the scope of Industry 4.0, a framework is proposed to leverage the potential of articulating Augmented Reality and Robotic Manufacturing in the construction industry. The objective of such framework is to enable robots to learn how to perform task... Read More about Robotic apprentices: Leveraging augmented reality for robot training in manufacturing automation.

Multi-channel ConvNet approach to predict the risk of in-hospital mortality for ICU patients (2020)
Conference Proceeding
Viton, F., Elbattah, M., Guérin, J., & Dequen, G. (2020). Multi-channel ConvNet approach to predict the risk of in-hospital mortality for ICU patients. In Proceedings of the 1st International Conference on Deep Learning Theory and Applications (98-102). https://doi.org/10.5220/0009891900980102

The healthcare arena has been undergoing impressive transformations thanks to advances in the capacity to capture, store, process, and learn from data. This paper re-visits the problem of predicting the risk of in-hospital mortality based on Time Ser... Read More about Multi-channel ConvNet approach to predict the risk of in-hospital mortality for ICU patients.

Generative modeling of synthetic eye-tracking data: NLP-based approach with recurrent neural networks (2020)
Conference Proceeding
Elbattah, M., Guérin, J., Carette, R., Cilia, F., & Dequen, G. (2020). Generative modeling of synthetic eye-tracking data: NLP-based approach with recurrent neural networks. In Proceedings of the 12th International Joint Conference on Computational Intelligence (479-484). https://doi.org/10.5220/0010177204790484

This study explores a Machine Learning-based approach for generating synthetic eye-tracking data. In this respect, a novel application of Recurrent Neural Networks is experimented. Our approach is based on learning the sequence patterns of eye-tracki... Read More about Generative modeling of synthetic eye-tracking data: NLP-based approach with recurrent neural networks.

A balanced diet for construction workers to improve safety and productivity (2020)
Conference Proceeding
Umar, T. (2020). A balanced diet for construction workers to improve safety and productivity. In F. Sherratt, B. Hare, & F. Emuze (Eds.), Proceedings of the Joint CIB W099 & TG59 International Web-Conference 2020: Good Health, Wellbeing & Decent Work

The United Nations (UN) under its Sustainable Development Goals (SDGs) aims to protect labour rights and promote safe and secure working environments for all workers around the world. Although the deadline to achieve the UN SDGs is approaching faster... Read More about A balanced diet for construction workers to improve safety and productivity.

Promoting employee safety performance in the Chinese construction industry (2020)
Conference Proceeding
Opoku, A., Zhao, S., Lok, K. L., Chen, C., & Umar, T. (2020). Promoting employee safety performance in the Chinese construction industry. In L. Scott, & C. Nielson (Eds.), Proceedings of the 36th Annual ARCOM Conference (285-294)

In the construction industry, safety leadership has been widely recognised as an indispensable factor that affects organisational safety performance. However, in China specifically, research on safety leadership in the construction domain is not adeq... Read More about Promoting employee safety performance in the Chinese construction industry.

Designing mini-games for micro-learning: Open educational resources on cultural risks in multi-cultural organisations (2020)
Conference Proceeding
Arnab, S., Walaszczyk, L., Lewis, M., Kernaghan-Andrews, S., Masters, A., Calderwood, J., …Loizou, M. (2020). Designing mini-games for micro-learning: Open educational resources on cultural risks in multi-cultural organisations. In P. Fotaris (Ed.), Proceedings of the 14th European Conference on Game Based Learning, ECGBL 2020 (21-30)

The need for self-directed learning for professional development drives an increase in the delivery of easy to use {\textquoteleft}just-in-time{\textquoteright} resources that respond to the often-dynamic workplace and work culture. Micro-learning ha... Read More about Designing mini-games for micro-learning: Open educational resources on cultural risks in multi-cultural organisations.

Audio Anywhere with Faust (2020)
Conference Proceeding
Gaster, B. R., & Cole, M. (2020). Audio Anywhere with Faust.

This paper introduces \emph{Audio Anywhere} (\emph{AA}), a framework for working with audio plugins that are compiled once and run anywhere. At the heart of Audio Anywhere is an audio engine whose Digital Signal Processing (DSP) components are writte... Read More about Audio Anywhere with Faust.

An algorithm for implementing a minimal stream X-Machine model to test the correctness of a system (2020)
Conference Proceeding
Ogunshile, E., & Phung, K. (in press). An algorithm for implementing a minimal stream X-Machine model to test the correctness of a system. In 2020 8th International Conference in Software Engineering Research and Innovation (CONISOFT). https://doi.org/10.1109/CONISOFT50191.2020.00023

The rapid change of requirements has made software more complex and harder to maintain. Software testing tools play an important role in the Software Development Life Cycle. However, many technology companies have employed fast paced development of s... Read More about An algorithm for implementing a minimal stream X-Machine model to test the correctness of a system.

A focus on codemixing and codeswitching in Tamil speech to text (2020)
Conference Proceeding
Navaladi, L., Gandhi, I., Ofei, W., Chiurunga, Z., Mashat, A., Basandrai, A., …Ramachandran, R. (in press). A focus on codemixing and codeswitching in Tamil speech to text. In 2020 8th International Conference in Software Engineering Research and Innovation (CONISOFT) (154-165). https://doi.org/10.1109/CONISOFT50191.2020.00031

This paper attempts to develop an application that converts Tamil language speech to Tamil text, with a view to encourage usage and indirectly ensure linguistic preservation of a classical language. The application converts spoken Tamil to text witho... Read More about A focus on codemixing and codeswitching in Tamil speech to text.

Covid-19 Care – A mobile application to help connect volunteers and vulnerable people in the community during the Covid-19 lockdown (2020)
Conference Proceeding
Ogunshile, E., Phung, K., & Odongo, S. (in press). Covid-19 Care – A mobile application to help connect volunteers and vulnerable people in the community during the Covid-19 lockdown. In 2020 8th International Conference in Software Engineering Research and Innovation (CONISOFT) (124-133). https://doi.org/10.1109/CONISOFT50191.2020.00027

Whenever the world is faced with a devastating outbreak of events, technology innovations have proven to be a go to solution that expedite the recovery process. We propose a mobile application rapidly developed as a contender to the TechForce19 innov... Read More about Covid-19 Care – A mobile application to help connect volunteers and vulnerable people in the community during the Covid-19 lockdown.

Visualising Compliance of Composite Shell Mechanisms (2020)
Conference Proceeding
Stacey, J., O'Donnell, M. P., Schenk, M., & Kim, C. J. (2020). Visualising Compliance of Composite Shell Mechanisms. In Proceedings of the ASME 2020 International Design Engineering Technical Conferences \& Computers and Information in Engineering Conference (IDETC/CIE 2020)

Developing a sustainable concrete using ceramic waste powder (2020)
Conference Proceeding
Umar, T., Tahir, A., Egbu, C., Honnurvali, M. S., Saidani, M., & Al-Bayati, A. J. (2021). Developing a sustainable concrete using ceramic waste powder. In S. Ahmed, P. Hampton, S. Azhar, & A. D Saul (Eds.), Collaboration and Integration in Construction, Engineering, Management and Technology (157-162). https://doi.org/10.1007/978-3-030-48465-1_27

The change from a traditional utilization based society to a sustainable society is urgently needed because of the contamination of the natural environment, the depletion of the natural resources and the reduced capacity of the final waste disposal a... Read More about Developing a sustainable concrete using ceramic waste powder.

Deep learning to predict hospitalization at triage: Integration of structured data and unstructured text (2020)
Conference Proceeding
Arnaud, E., Elbattah, M., Gignon, M., & Dequen, G. (2020). Deep learning to predict hospitalization at triage: Integration of structured data and unstructured text. In 2020 IEEE International Conference on Big Data (Big Data) (4836-4841). https://doi.org/10.1109/bigdata50022.2020.9378073

Overcrowding in Emergency Departments (ED) is considered as an international issue, which could have adverse impacts on multiple care outcomes such as the length of stay for example. Part of the solution could lie in the early prediction of the patie... Read More about Deep learning to predict hospitalization at triage: Integration of structured data and unstructured text.

A mixture-of-experts model for learning multi-facet entity embeddings (2020)
Conference Proceeding
Alshaikh, R., Bouraoui, Z., Jeawak, S., & Schockaert, S. (2020). A mixture-of-experts model for learning multi-facet entity embeddings. In Proceedings of the 28th International Conference on Computational Linguistics (5124-5135)

Various methods have already been proposed for learning entity embeddings from text descriptions. Such embeddings are commonly used for inferring properties of entities, for recommendation and entity-oriented search, and for injecting background know... Read More about A mixture-of-experts model for learning multi-facet entity embeddings.

Using active learning to understand the videoconference experience: A case study (2020)
Conference Proceeding
Llewellyn, S., Simons, C., & Smith, J. (2020). Using active learning to understand the videoconference experience: A case study. https://doi.org/10.1007/978-3-030-63799-6_30

Videoconferencing is becoming ubiquitous, especially so during the COVID-19 pandemic. However, user experience of a videoconference call can be variable. To better understand and classify the performance of videoconference call systems, this paper re... Read More about Using active learning to understand the videoconference experience: A case study.

Using an ecosystem services lens to explore a broader funding base for laneways (2020)
Conference Proceeding
Lamond, J., Everard, M., & Everett, G. (2020). Using an ecosystem services lens to explore a broader funding base for laneways. In Urban Water Systems & Floods III (155-165). https://doi.org/10.2495/friar200141

Greening small urban street spaces such as alleys and laneways is increasingly popular with city authorities. Motivation for starting these projects varies and this may hold implications in terms of the responsible function and department overseeing... Read More about Using an ecosystem services lens to explore a broader funding base for laneways.

One-shot 3D printed underactuated gripper (2020)
Conference Proceeding
Cormack, J., Fotouhi, M., Adams, G., & Pipe, A. (2020). One-shot 3D printed underactuated gripper. In A. Mohammad, X. Dong, & M. Russo (Eds.), Towards Autonomous Robotic Systems (400-404). https://doi.org/10.1007/978-3-030-63486-5_41

Underactuated gripping mechanisms allow a wide range of objects to be grasped, with relatively simple control and input. Current 3D printed underactuated grippers are often composed of multiple parts that need assembly before use. Consolidating many... Read More about One-shot 3D printed underactuated gripper.

ShearTouch - Towards a wearable tactile feedback device to provide continuous shear force sensation in real time (2020)
Conference Proceeding
Wells, O., Pipe, T., Dogramadzi, S., & Studley, M. (2020). ShearTouch - Towards a wearable tactile feedback device to provide continuous shear force sensation in real time. In Towards Autonomous Robotic Systems (287-298). https://doi.org/10.1007/978-3-030-63486-5_30

Force feedback in current teleoperation systems typically only provides haptic/kinaesthetic feedback to operators in the form of normal forces. However, it is proposed in this paper that the introduction of shear (or lateral) force feedback to operat... Read More about ShearTouch - Towards a wearable tactile feedback device to provide continuous shear force sensation in real time.