| 1. |
- Schier, P., et al.
(author)
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European Research on Magnetic Nanoparticles for Biomedical Applications : Standardisation Aspects
- 2020
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In: 21st Polish Conference on Biocybernetics and Biomedical Engineering, PCBBE 2019. - Cham : Springer Verlag. - 9783030298845 ; , s. 316-326
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Conference paper (peer-reviewed)abstract
- Magnetic nanoparticles have many applications in biomedicine and other technical areas. Despite their huge economic impact, there are no standardised procedures available to measure their basic magnetic properties. The International Organization for Standardization is working on a series of documents on the definition of characteristics of magnetic nanomaterials. We review previous and ongoing European research projects on characteristics of magnetic nanoparticles and present results of an online survey among European researchers.
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| 2. |
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| 3. |
- Johansson, Nils, et al.
(author)
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Façade Fires in Swedish School Buildings
- 2013
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In: MATEC web of conferances. - : EDP Sciences. - 2261-236X. ; 9, s. 03006-03006
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Conference paper (other academic/artistic)abstract
- Fires outside school buildings caused by arson are a major problem in Sweden. The initial fire source can involve rubbish or other types of combustibles that can be found at or sometimes brought to the school. As the external fire develops the flames will extend along the façade. If the building is a one-story building, which is a common construction in Swedish school buildings, the fire can spread to the attic and further on to the rest of the building. A large research project was initiated in 2008 by the Swedish Fire Research Board in order to reduce the number and consequences of arson fires in school buildings. In this paper an evaluation of some technical systems that can be used to mitigate consequences of exterior fires is presented. The evaluation includes a literature review, experimental studies and a cost-benefit analysis. The study showed that some systems have clear cost-benefit advantages for the protection of school buildings in places where a high fire frequency can be expected.
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| 4. |
- Johansson, R., et al.
(author)
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A strategy for assessing safe use of sensors in autonomous road vehicles
- 2017
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In: 36th International Conference on Computer Safety, Reliability, and Security, SAFECOMP 2017. - Cham : Springer. - 9783319662657 ; , s. 149-161
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Conference paper (peer-reviewed)abstract
- When arguing safety for an autonomous road vehicle it is considered very hard to show that the sensing capability is sufficient for all possible scenarios that might occur. Already for today’s manually driven road vehicles equipped with advanced driver assistance systems (ADAS), it is far from trivial how to argue that the sensor systems are sufficiently capable of enabling a safe behavior. In this paper, we argue that the transition from ADAS to automated driving systems (ADS) enables new solution patterns for the safety argumentation dependent on the sensor systems. A key factor is that the ADS itself can compensate for a lower sensor capability, by for example lowering the speed or increasing the distances. The proposed design strategy allocates safety requirements on the sensors to determine their own capability. This capability is then to be balanced by the tactical decisions of the ADS equipped road vehicle.
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| 5. |
- Johansson, S. C., et al.
(author)
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Surface modification of PM gearlever
- 2010
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In: World Powder Metallurgy Congress and Exhibition, World PM 2010; Florence; Italy; 10 October 2010 through 14 October 2010. - : European Powder Metallurgy Association (EPMA). - 9781899072194 ; 3
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Conference paper (peer-reviewed)abstract
- A novel manufacturing concept for a gearlever has been evaluated by manufacturing of test components of two materials. Iron-based powders were used, and pressing and sintering was followed by a few different variants of hardening and surface densification. The components have been evaluated by means of component function testing, component fatigue testing, microstructure characterization, hardness measurements and residual stress determination. The gearlever is found to perform well in the function testing and shows also good fatigue properties that well match the demands for the intended application. The porosity in the sintered material is inhomogeneous, and some compaction-induced defects were observed in the material, which thus seems not to give any significant negative impact on the sintered product performance. The results show a doubling in hardness after hardening. If the materials were shot-peened (or shot-blasted) after hardening the surface hardness increased down to a depth of approximately 0.2 mm compared to the hardened material. The case-hardening should be applied after shot-peening to obtain significant effect on surface hardness within the outermost 0.1 mm. In principle no surface densification was created if shoot-peening was performed after hardening.
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| 6. |
- Rao, Akhila, et al.
(author)
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Prediction and exposure of delays from a base station perspective in 5G and beyond networks
- 2022
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In: 5G-MeMU 2022 - Proceedings of the ACM SIGCOMM 2022 Workshop on 5G and Beyond Network Measurements, Modeling, and Use Cases - Part of SIGCOMM 2022. - New York, NY, USA : Association for Computing Machinery, Inc. - 9781450393935 ; , s. 8-14
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Conference paper (peer-reviewed)abstract
- The inherent flexibility of 5G networks come with a high degree of configuration and management complexity. This makes the performance outcome for UEs, more than ever, dependent on intricate configurations and interplay between algorithms at various network components. In this paper, we take initial steps towards a performance exposure system at the base station using a data-driven approach for predicting performance violations in terms of RTT, as observed by the UE, in a 5G mmWave network. We present ML models to predict RTT using low-level and high-frequency base station metrics from a 5G mmWave testbed based on commercially available equipment. Predicting UE performance from a base station perspective, and exposing this knowledge, is valuable for applications to proactively address performance violations. We also compare several methods for feature reduction, which have a significant impact on monitoring load. We demonstrate our model's ability to identify RTT violations, paving the way for network providers towards an intelligent performance exposure system.
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