| 1. |
- Aldén, Marcus, et al.
(författare)
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Laser-induced phosphorescence spectroscopy: development and application of thermographic phosphors (TP) for thermometry in combustion environments
- 2014
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Ingår i: Laser Spectroscopy for Sensing Fundamentals, Techniques and Applications. - : Elsevier. - 2050-1501. - 9780857092731 - 9780857098733 ; , s. 258-291
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Bokkapitel (refereegranskat)abstract
- In this chapter a temperature probing technique based on the spectroscopy of inorganic luminescent materials is described and exemplified in experiments related to combustion. The basic features of thermographic phosphors which enable remote temperature diagnostics to be performed with a high degree of sensitivity and accuracy, are outlined. This technique is superior to those based on thermocouples and pyrometry, particularly in the vicinity of flames and when the measured surface is subjected to random movements. Many thermographic phosphors have the property of being insensitive to variations in pressure up to 1 GPa. This property extends the use and development of thermographic thermometry to such domains as internal combustion engines and gas turbines, for which examples are also provided.
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| 3. |
- Bothorel, Cecile, et al.
(författare)
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Clustering attributed graphs : models, measures and methods
- 2015
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Ingår i: Network Science. - : Cambridge University Press (CUP). - 2050-1242 .- 2050-1250. ; 3:3, s. 408-444
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Tidskriftsartikel (refereegranskat)abstract
- Clustering a graph, i.e., assigning its nodes to groups, is an important operation whose best known application is the discovery of communities in social networks. Graph clustering and community detection have traditionally focused on graphs without attributes, with the notable exception of edge weights. However, these models only provide a partial representation of real social systems, that are thus often described using node attributes, representing features of the actors, and edge attributes, representing different kinds of relationships among them. We refer to these models as attributed graphs. Consequently, existing graph clustering methods have been recently extended to deal with node and edge attributes. This article is a literature survey on this topic, organizing, and presenting recent research results in a uniform way, characterizing the main existing clustering methods and highlighting their conceptual differences. We also cover the important topic of clustering evaluation and identify current open problems.
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