| 11. |
- Domova, Veronika, 1987-, et al.
(author)
-
Visualization for Quality Healthcare : Patient Flow Exploration
- 2019
-
In: IProceedings. - : Institute of Electrical and Electronics Engineers (IEEE). ; , s. 1072-1079, s. 1072-1079
-
Conference paper (peer-reviewed)abstract
- The health and medical institutes and hospitals are facing several challenges in the short and long term, i.e. demographic changes, demands on improving quality, limited resources and cost requirements. To cope with these challenges, the health care sector needs to become more efficient, while maintaining and improving the quality of care. Efficient and transparent information flow across the whole system plays a key role even in this context. Being able to analyze the patient flows as the first step will provide the possibility to more efficiently manage medical resources and better serve incoming patients. In this work, we have developed a web-based portal for interactive analysis of patient flow data to assist hospital authorities to improve and optimize the time and quality of the provided services. The developed tool facilitates short and long term optimization of resource allocation by analyzing the past, as well as current, patient flows, identifying bottlenecks and exploring the reasons for the occurred waiting times.
|
|
| 12. |
|
|
| 13. |
- dos Santos, Arthur, et al.
(author)
-
An experiment on an automated literature survey of data-driven speech enhancement methods
- 2024
-
In: Acta Acustica. - : EDP Sciences. - 2681-4617. ; 8:2, s. 1-8
-
Journal article (peer-reviewed)abstract
- The increasing number of scientific publications in acoustics, in general, presents difficulties in conducting traditional literature surveys. This work explores the use of a generative pre-trained transformer (GPT) model to automate a literature survey of 117 articles on data-driven speech enhancement methods. The main objective is to evaluate the capabilities and limitations of the model in providing accurate responses to specific queries about the papers selected from a reference human-based survey. While we see great potential to automate literature surveys in acoustics, improvements are needed to address technical questions more clearly and accurately.
|
|
| 14. |
|
|
| 15. |
|
|
| 16. |
- Saarinen, Kari, et al.
(author)
-
Criticality Analysis Based Maintenance
- 2013
-
In: Journal of Asset Management. - : Engineering Information Transfer. - 1470-8272 .- 1479-179X. ; 26:6, s. 16-19
-
Journal article (peer-reviewed)abstract
- Changing from a reactive to a preventive maintenance strategy can yield substantial cost savings in many sectors of industry. However, in the process industries, an installation may have many thousands of maintenance-worthy elements, rendering a solely preventive maintenance strategy impractical or even impossible. How then to determine the optimal maintenance strategy mix for such situations?
|
|
| 17. |
- Samuelsson, Andreas, et al.
(author)
-
Simulation based Evaluation of Fault Detection Algorithms : Applications to Wear Diagnosis in Manipulators
- 2014
-
In: Proceedings of the 19th IFAC World Congress.
-
Conference paper (peer-reviewed)abstract
- Fault detection algorithms (FDAs) process data to generate a test quantity. Test quantities are used to determine presence of a fault in a monitored system, despite disturbances. Because only limited knowledge of the system can be embedded in an FDA, it is important to evaluate it in scenarios relevant in practice. In this paper, simulation based approaches are proposed in an attempt to determine: i) which disturbances affect the output of an FDA the most; ii) how to compare the performance of dierent FDAs; and iii) which combinations of fault change size and disturbances variations are allowed to achieve satisfactory performance. The ideas presented are inspired by the literature of design of experiments, surrogate models, sensitivity analysis and change detection. The approaches are illustrated for the problem of wear diagnosis in manipulators where three FDAs are considered. The application study reveals that disturbances caused by variations in temperature and payload mass error affect the FDAs the most. It is also shown how the size of these disturbances delimit the capacity of an FDA to relate to wear changes. Further comparison of the FDAs reveal which performs "best" in average.
|
|
| 18. |
|
|
| 19. |
|
|
| 20. |
- Tavallaey, Shiva Sander, et al.
(author)
-
Automation to Autonomy
- 2019
-
In: Proceedings of the 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA. - : Institute of Electrical and Electronics Engineers (IEEE). ; , s. 31-34
-
Conference paper (peer-reviewed)abstract
- There is a tremendous technology push as well as business pull towards autonomous systems, somehow recasting the automation industry as we know it. While the usage of data-driven approaches in consumer products affecting our lives in all its aspects seems to be a non-reversible movement covering the big portion of the life on the globe, there still remain some technical, commercial, societal and ethical challenges to be solved in industrial application. In this talk we will share our (ABBs) experiences and learnings from this extremely exciting transformation.
|
|
