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Institution

Swedish Defence Research Agency

GovernmentStockholm, 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
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Proceedings ArticleDOI
09 Oct 2009
TL;DR: In this paper, electric field strength and APD measurements have been performed to characterize electromagnetic interference in an industrial paper plant, and the interference level is correlated to the working mode of the electrical engines used in the process.
Abstract: It is well known that industrial and factory environments present considerable challenges for wireless communications. Because every industrial environment is different, and may offer a unique set of obstacles to effective wireless communication, a site characterization is needed at first step in determining improvements of existent wireless technologies to increase the reliability. In this work electric field strength and APD measurements have been performed to characterize electromagnetic interference in an industrial paper plant. Common characteristics of the industrial environments affecting wireless communication were identified. Additionally, results show high interference levels at the frequencies for the DECT band 1880-1890 MHz. The interference level is correlated to the working mode of the electrical engines used in the process.

23 citations

Journal ArticleDOI
TL;DR: This work uses a grand canonical approach to derive an analytical expression for the equilibrium distribution of strategies, and studies the properties of the solution as a function of the mean number of players, and compares them with a large data set of internet auctions.
Abstract: In lowest unique bid auctions, N players bid for an item. The winner is whoever places the lowest bid, provided that it is also unique. We use a grand canonical approach to derive an analytical expression for the equilibrium distribution of strategies. We then study the properties of the solution as a function of the mean number of players, and compare them with a large data set of internet auctions. The theory agrees with the data with striking accuracy for small population-size N, while for larger N a qualitatively different distribution is observed. We interpret this result as the emergence of two different regimes, one in which adaptation is feasible and one in which it is not. Our results question the actual possibility of a large population to adapt and find the optimal strategy when participating in a collective game.

23 citations

Journal ArticleDOI
TL;DR: In this paper, the authors evaluate the detection performance of several commercial interference detectors and of a detector that uses the automatic gain control (AGC) level as a test statistic, and evaluate the performance of the AGC-based detection.
Abstract: We evaluate the detection performance of several commercial interference detectors and of a detector that uses the automatic gain control (AGC) level as a test statistic. The evaluations are based ...

23 citations

Journal ArticleDOI
TL;DR: In this paper, exposure to prolonged recumbency (bedrest), and thus reductions of intravascular pressure gradients, increases pressure distension in arteries/arterioles in the legs.
Abstract: We hypothesized that exposure to prolonged recumbency (bedrest), and thus reductions of intravascular pressure gradients, increases pressure distension in arteries/arterioles in the legs. Ten subje...

23 citations

Journal ArticleDOI
TL;DR: The results suggest either a static situation in which PUUV strains are regionally well adapted, or an ongoing process in which strains of PUUV circulate on a geographical scale not yet reliably described.

23 citations


Authors

Showing all 1417 results

NameH-indexPapersCitations
Anders Larsson80130733995
Anders Johansson7553821709
Anders Eriksson6867919487
Dan S. Henningson6636919038
Bengt Johansson6663519206
Anders Sjöstedt6319611422
Björn Johansson6263716030
Mats Gustafsson6152018574
D. G. Joakim Larsson5815113687
Anders Larsson5419855761
Mats Tysklind5325017534
Jerker Fick511438787
Erik Johansson501149437
Göran Finnveden4919312663
Ian A. Nicholls451947522
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20232
20228
202163
202074
2019102
201894