Institution
Swedish Defence Research Agency
Government•Stockholm, Sweden•
About: Swedish Defence Research Agency is a government organization based out in Stockholm, Sweden. It is known for research contribution in the topics: Radar & Laser. The organization has 1413 authors who have published 2731 publications receiving 56083 citations. The organization is also known as: Totalförsvarets forskningsinstitut.
Papers published on a yearly basis
Papers
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TL;DR: The method has been applied to the analysis of real samples obtained from headspace sampling of military-grade 2,4,6-trinitrotoluene and has been shown to constitute a promising alternative for assessing whether areas are mined in landmine-clearing operations.
55 citations
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TL;DR: In this paper, large eddy simulation has been used to examine supersonic flow, mixing, self-ignition and combustion in a model scramjet combustor and has been compared against the experimental data.
Abstract: In this study, large eddy simulation (LES) has been used to examine supersonic flow, mixing, self-ignition and combustion in a model scramjet combustor and has been compared against the experimental data. The LES model is based on an unstructured finite-volume discretization, using monotonicity-preserving flux reconstruction of the filtered mass, momentum, species and energy equations. Both a two-step and a seven-step hydrogen–air mechanism are used to describe the chemical reactions. Additional comparisons are made with results from a previously presented flamelet model. The subgrid flow terms are modeled using a mixed model, whereas the subgrid turbulence–chemistry interaction terms are modeled using the partially stirred reactor model. Simulations are carried out on a scramjet model experimentally studied at Deutsches Zentrum fur Luft- und Raumfahrt consisting of a one-sided divergent channel with a wedge-shaped flame holder at the base of which hydrogen is injected. The LES predictions are compared with experimental data for velocity, temperature, wall pressure at different cross sections as well as schlieren images, showing good agreement for both first- and second-order statistics. In addition, the LES results are used to illustrate and explain the intrinsic flow, and mixing and combustion features of this combustor.
55 citations
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TL;DR: Results show that SWIR hyperspectral imaging is an objective and non-destructive quality control method that can be successfully used to identify whole dried fruit of I. anisatum whole dried fruits within large batches ofI.
55 citations
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TL;DR: A survey with opinions by 384 experts, covering more than 3000 vulnerabilities, shows that the mean disagreement between the judgments of the experts and the CVSS Base Score is -0.38, with a variance of 4.46.
55 citations
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23 May 2016
TL;DR: A vetted and militarily-realistic scenario is developed that provides a rich combination of elements for experimentation and is developed by the NATO Science & Technology Organization's IST-124 task group to develop and distribute an emulation environment and scenario.
Abstract: Emulation environments are an effective approach to experimenting with and evaluating network protocols, algorithms, and components. This paper describes a joint effort by the NATO Science & Technology Organization's IST-124 task group to develop and distribute an emulation environment and scenario. The most significant contribution is a vetted and militarily-realistic scenario that provides a rich combination of elements for experimentation. The scenario includes detailed mobility patterns for a battalion-sized operation over the course of two hours, which has been developed by military experts in planning and performing real exercises. The mobility patterns are used to drive the network emulation.
54 citations
Authors
Showing all 1417 results
Name | H-index | Papers | Citations |
---|---|---|---|
Anders Larsson | 80 | 1307 | 33995 |
Anders Johansson | 75 | 538 | 21709 |
Anders Eriksson | 68 | 679 | 19487 |
Dan S. Henningson | 66 | 369 | 19038 |
Bengt Johansson | 66 | 635 | 19206 |
Anders Sjöstedt | 63 | 196 | 11422 |
Björn Johansson | 62 | 637 | 16030 |
Mats Gustafsson | 61 | 520 | 18574 |
D. G. Joakim Larsson | 58 | 151 | 13687 |
Anders Larsson | 54 | 198 | 55761 |
Mats Tysklind | 53 | 250 | 17534 |
Jerker Fick | 51 | 143 | 8787 |
Erik Johansson | 50 | 114 | 9437 |
Göran Finnveden | 49 | 193 | 12663 |
Ian A. Nicholls | 45 | 194 | 7522 |