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Institution

Tampere University of Technology

About: Tampere University of Technology is a based out in . It is known for research contribution in the topics: Laser & Context (language use). The organization has 6802 authors who have published 19787 publications receiving 431793 citations. The organization is also known as: Tampereen teknillinen yliopisto.


Papers
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Journal ArticleDOI
TL;DR: It was shown that CH4 production in permafrost soils is substrate-limited, although these soils are characterized by the accumulation of organic matter, which indicated a shift in the methanogenic community from mesophilic to psychrotolerant methanogens with increasing soil depth.

116 citations

Journal ArticleDOI
15 Jul 2016-Wear
TL;DR: In this article, a comprehensive characterisation of HVOF-and HVAF-sprayed Cr3C2-25 wt.% NiCr hardmetal coatings is presented.

116 citations

Journal ArticleDOI
TL;DR: In this paper, a small and flexible metal mountable UHF RFID tag antenna, utilizing a high-permittivity substrate material, is presented, which is composed of a small single-layer T-matched dipole antenna, on a flexible ceramic (BaTiO3) polymer (polydimethylsiloxane) composite substrate, with a thickness of 1.5 mm.
Abstract: A small and flexible metal mountable UHF RFID tag antenna, utilizing a high-permittivity substrate material is presented. The tag is composed of a small single-layer T-matched dipole antenna, on a flexible ceramic (BaTiO3) polymer (polydimethylsiloxane) composite substrate, with a thickness of 1.5 mm. The flexibility of the substrate allows it to be mounted on flat and cylindrical metallic surfaces. The performance of the developed tag is evaluated through simulations and measurements on both flat and cylindrical metallic platforms of various sizes. The results show that the tag achieves state-of-the-art size-performance ratio while meeting the key requirements of an affordable RFID tag with a simple and flexible structure.

116 citations

Journal ArticleDOI
TL;DR: In this article, the authors investigate how students' personal commitment and various forms of support, as well as their complementary effects, explain progress in doctoral studies, and find that plan commitment and peer support and goal commitment and supervisor support together have a positive effect on study progress.
Abstract: Earlier research on doctoral education has associated study progress with the student’s own capabilities and faculty support. The purpose of this study is to investigate how students’ personal commitment and various forms of support, as well as their complementary effects, explain progress in doctoral studies. Data were collected by a questionnaire survey among doctoral students of industrial engineering and management in Finland. The study investigates the effect of: (1) support from supervisor, peers and employer, and (2) students’ commitment in terms of setting goals, time and plans. The results show that plan commitment and peer support, as well as goal commitment and supervisor support, together have a positive effect on study progress. In turn, time commitment and peer support, and time commitment and supervisor support, jointly lead to better research progress.

115 citations

Proceedings ArticleDOI
03 May 1993
TL;DR: In this paper, an algorithm is developed for finding optimal weighted median (WM) filters which minimize noise subject to a predetermined set of structural constraints on the filter's behavior, based on the derivation of the output moments of weighted medians.
Abstract: An algorithm is developed for finding optimal weighted median (WM) filters which minimize noise subject to a predetermined set of structural constraints on the filter's behavior. Based on the derivation of the output moments of weighted medians, it is shown that optimal weighted medians with structural constraints may be found by solving a group of linear inequalities. One-dimensional applications are discussed. >

115 citations


Authors

Showing all 6802 results

NameH-indexPapersCitations
Terho Lehtimäki1421304106981
Prashant V. Kamat14072579259
Ian F. Akyildiz11761299653
Shunichi Fukuzumi111125652764
Tetsuo Nagano9649034267
Andreas Hirsch9077836173
Ralf Metzler8651134793
Teuvo L.J. Tammela8463032847
Hiroshi Imahori7947224047
Yasuteru Urano7935624884
Jiri Matas7834544739
Piet N.L. Lens7763323367
Nail Akhmediev7646924205
Luis Echegoyen7457620094
Ilpo Vattulainen7332516445
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20223
2021176
2020243
2019524
20181,255
20171,330