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- Özçetin, Seda
(author)
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Life, death, and after life
- 2021
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Conference paper (peer-reviewed)abstract
- In Changing Things, Redström and Wiltse (2019) talk about how things have changed in their becoming throughout the history bringing us to the time of fluid assemblages. These dynamic beings have created new spatio-temporal ecologies. This moment looks at fluid assemblages and their impact in DRS community’s everyday lives. What kinds of things have emerged at our homes or workplaces (Life), what kinds of things have disappeared (Death), what kinds of things do we still keep but not use or have we repurposed (After Life)? What caused these transitions? How is our relationship with these things, how do we feel about them, what has changed?The moment invites the DRS community to create collages reflecting on these experiences by focusing on a selection of daily activities as listening to music, doing sports, cooking, maintaining wellbeing, etc. on a collective Miro board.
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| 2. |
- Aad, G., et al.
(author)
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- 2015
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In: Journal of High Energy Physics. - : Springer. - 1029-8479 .- 1126-6708. ; :8
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Journal article (peer-reviewed)
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| 3. |
- Aad, G., et al.
(author)
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- 2012
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swepub:Mat__t (peer-reviewed)
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| 4. |
- Arndt, Anton, 1968-, et al.
(author)
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The effect of a midfoot cut in the outer sole of a shoe on intrinsic foot kinematics during walking.
- 2013
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In: Footwear Science. - : Informa UK Limited. - 1942-4280 .- 1942-4299. ; 5:1, s. 63-69
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Journal article (peer-reviewed)abstract
- Modifications in shoe outer soles are frequently made with the intention of altering biomechanics of the foot inside the shoe. These modifications are however, generally based upon intuition with little or no scientific data for support. The purpose of this study was to quantify changes in intrinsic foot segmental kinematics between walking in a neutral shoe and a shoe modified with a clear cut forming a break underneath the midfoot, approximating the Lisfrancs joint.Five healthy male subjects participated in the study. Intracortical pins were inserted under sterile conditions and local anaesthetic in nine different bones of the foot and shank. The subjects performed 10 walking trials in both a neutral, standard, flatsoled, flexible walking shoe and in the same shoe with an approximately 1 cm deep cut aligned with the subjects’ Lisfrancs joint. Material tests showed that the cut reduced midfoot shoe bending stiffness by 23% to 38% and torsional stiffness by 23% to 28%. A helical axis approach was applied for calculating the 3D rotations about relevant joints.Kinematic trajectories in the sagittal, frontal, and transverse planes were normalised to the stance phase for seven selected joints to compare rotation patterns when wearing the two shoe conditions. Although one out of 21 ranges of motion (ROM) showed a significant difference, there is strong reason to regard this as the result of a type 1 error. Apart from this no differences in ROM occurred between the shoe conditions.The low subject number reduced the statistical power of the results. However, the study indicated that outer sole modifications that may be assumed to have clear effects upon foot kinematics, do not necessarily do so.
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| 6. |
- de Vries, Linda, 1976, et al.
(author)
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Overcoming the challenges of integration of Human-centred Design within the Naval Architecture ship design process
- 2015
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In: Proceedings 19th Triennial Congress of the International Ergonomics Association, Melbourne 9-14 August 2015.
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Conference paper (peer-reviewed)abstract
- Human-centred design (HCD) and usability have been well-established notions in human factors engineering, general design research and interaction design since before the 1990’s, aiming to enhance effectiveness, efficiency and user satisfaction, thereby facilitating retention of personnel, decreasing costs, the need for training and the likelihood of use error. Nevertheless, it has not always been of easy implementation in design practice. For a complex network of stakeholders such as that of the maritime sector, change often meets resistance. This study describes some challenges experienced when attempting to synthesise a human-centred approach within the process of a Marine Design Project and investigates some different solutions to overcome them. Successful integration was found to be dependent on discovering common ground, thereby creating a mutual understanding between all stakeholders involved and a shared environment to facilitate communication. The iterative ship design spiral process, and the visual representations of the vessel it produces, in fact provide several suitable opportunities to do so. Though time and resources were limiting factors, the main obstacle to be overcome proved to be the necessity of seeking to understand the task at hand from the perspective of the other. Additionally, the impact of a human-centred approach may be significantly increased if one of its primary benefits were to receive more emphasis, namely its contribution to safe and efficient operations.
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| 8. |
- Samoaa, Hazem, 1991, et al.
(author)
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TEP-GNN: Accurate Execution Time Prediction of Functional Tests Using Graph Neural Networks
- 2022
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In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). - Cham : Springer International Publishing. - 1611-3349 .- 0302-9743. ; 13709 LNCS, s. 464-479
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Conference paper (peer-reviewed)abstract
- Predicting the performance of production code prior to actual execution is known to be highly challenging. In this paper, we propose a predictive model, dubbed TEP-GNN, which demonstrates that high-accuracy performance prediction is possible for the special case of predicting unit test execution times. TEP-GNN uses FA-ASTs, or flow-augmented ASTs, as a graph-based code representation approach, and predicts test execution times using a powerful graph neural network (GNN) deep learning model. We evaluate TEP-GNN using four real-life Java open source programs, based on 922 test files mined from the projects’ public repositories. We find that our approach achieves a high Pearson correlation of 0.789, considerable outperforming a baseline deep learning model. Our work demonstrates that FA-ASTs and GNNs are a feasible approach for predicting absolute performance values, and serves as an important intermediary step towards being able to predict the performance of arbitrary code prior to execution.
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