Research outputs per year
Research outputs per year
Project Details
Description
The project investigated whether artificial intelligence was dangerous or potentially dangerous, and considered the way that decisions can be taken using AI. Finally, Ambient Intelligence and AI was investigated.
New AI tools were created to aid in designing and running sensor systems and for some control engineering applications. Some simple gesture recognition systems were created with AI tools for use in assembly automation.
As part of this project, Nils Bausch completed his PhD in 2014 after studying residential home temperature prediction models that use space conditioning experiments and disparate sources of information. The PhD was directed by G Tewkesbury and supervised by DA Sanders. In addition, G Yang completed his PhD in 2016 after studying rainfall field modelling for European satellite networks. The PhD was directed by D Ndzi and supervised by DA Sanders.
New AI tools were created to aid in designing and running sensor systems and for some control engineering applications. Some simple gesture recognition systems were created with AI tools for use in assembly automation.
As part of this project, Nils Bausch completed his PhD in 2014 after studying residential home temperature prediction models that use space conditioning experiments and disparate sources of information. The PhD was directed by G Tewkesbury and supervised by DA Sanders. In addition, G Yang completed his PhD in 2016 after studying rainfall field modelling for European satellite networks. The PhD was directed by D Ndzi and supervised by DA Sanders.
Layperson's description
The use if artificial intelligence in engineering was investigated.
Key findings
Investigated:
- Whether artificial intelligence is dangerous.
- Making decisions using AI, for example about saving energy.
- Systems using Ambient Intelligence and AI.
Created:
- Artificial intelligence tools to aid in designing and running sensor systems.
- Artificial intelligence for control engineering systems.
- Simple gesture recognition systems.
- AI tools for use in assembly automation.
- Whether artificial intelligence is dangerous.
- Making decisions using AI, for example about saving energy.
- Systems using Ambient Intelligence and AI.
Created:
- Artificial intelligence tools to aid in designing and running sensor systems.
- Artificial intelligence for control engineering systems.
- Simple gesture recognition systems.
- AI tools for use in assembly automation.
| Short title | AI for engineering |
|---|---|
| Status | Finished |
| Effective start/end date | 15/03/13 → 11/03/15 |
Keywords
- Artificial
- Intelligence
- Applications
- Engineering
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Artificial intelligence for control engineering: paper based journal
Sanders, D. & Gegov, A., 1 Feb 2015, In: Control Engineering. 2015, 2, p. 38-40Research output: Contribution to journal › Article › peer-review
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Artificial intelligence tools can aid sensor systems: WWW Journal Publication of a copy of the extended paper originally published in Control Engineering in October 2013.
Sanders, D., 1 Jan 2015, In: Plant Engineering. p. 1-5Research output: Contribution to journal › Article › peer-review
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It is artificial idiocy that is alarming, not artificial intelligence
Sanders, D. A. & Tewkesbury, G. E., 2015, Proceedings of the 11th international conference on web information systems and technologies. Lisbon, Portugal: SCITEPRESS – Science and Technology Publications, p. 345-350Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access17 Downloads (Pure)
Activities
- 1 Participation in conference
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11th International Conference on Web Information Systems and Technologies
David Sanders (Presented paper)
20 May 2015 → 23 May 2015Activity: Participating in or organising an event types › Participation in conference
Student theses
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Rainfall field modelling For European satellite networks
Author: Yang, G., 2016Supervisor: Ndzi, D. (Supervisor), Sanders, D. (Supervisor) & Brown, D. (Supervisor)
Student thesis: Doctoral Thesis
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Residential home temperature prediction models that use space conditioning experiments and disparate sources of information
Author: Bausch, N. C., 2014Supervisor: Tewkesbury, G. (Supervisor), Sanders, D. (Supervisor) & Ramlall, S. (Supervisor)
Student thesis: Doctoral Thesis
File