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Institution

Warsaw University of Technology

EducationWarsaw, Poland
About: Warsaw University of Technology is a education organization based out in Warsaw, Poland. It is known for research contribution in the topics: Microstructure & Optical fiber. The organization has 14293 authors who have published 34362 publications receiving 492211 citations. The organization is also known as: Warsaw Polytechnic & Politechnika Warszawska.


Papers
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Proceedings ArticleDOI
14 Jun 2009
TL;DR: The presented result shows the high effectiveness of multi-core graphical card in Digital Signal Processing, and the processing time of the example spectrogram is reduced 10 times compared to Central Processing Unit of the standard PC.
Abstract: The Digital Signal Processing (DSP) requires high computing power. Von Neuman architecture reaches it's limits. To meet the high requirement of DSP algorithms the parallel processing techniques are being used. The paper presents an example of DSP application on NVIDIA graphic card using CUDA environment. The presented result shows the high effectiveness of multi-core graphical card in Digital Signal Processing. The processing time of the example spectrogram is reduced 10 times compared to Central Processing Unit (CPU) of the standard PC

292 citations

Journal ArticleDOI
Vardan Khachatryan1, Albert M. Sirunyan1, Armen Tumasyan1, Wolfgang Adam  +2333 moreInstitutions (195)
TL;DR: In this paper, the authors acknowledge the enduring support for the construction and operation of the LHC and the CMS detector provided by the following funding agencies:======BMWFW and FWF (Austria); FNRS and FWO (Belgium); CNPq, CAPES, FAPERJ,======And FAPESP (Brazil); MES (Bulgaria); CERN; CAS, MoST, and NSFC (China); COLCIENCIAS======(Colombia); MSES and CSF (Croatia); RPF (
Abstract: we acknowledge the enduring support for the construction and operation of the LHC and the CMS detector provided by the following funding agencies: BMWFW and FWF (Austria); FNRS and FWO (Belgium); CNPq, CAPES, FAPERJ, and FAPESP (Brazil); MES (Bulgaria); CERN; CAS, MoST, and NSFC (China); COLCIENCIAS (Colombia); MSES and CSF (Croatia); RPF (Cyprus); SENESCYT (Ecuador); MoER, ERC IUT and ERDF (Estonia); Academy of Finland, MEC, and HIP (Finland); CEA and CNRS/IN2P3 (France); BMBF, DFG, and HGF (Germany); GSRT (Greece); OTKA and NIH (Hungary); DAE and DST (India); IPM (Iran); SFI (Ireland); INFN (Italy); MSIP and NRF (Republic of Korea); LAS (Lithuania); MOE and UM (Malaysia); BUAP, CINVESTAV, CONACYT, LNS, SEP, and UASLP-FAI (Mexico); MBIE (New Zealand); PAEC (Pakistan); MSHE and NSC (Poland); FCT (Portugal); JINR (Dubna); MON, RosAtom, RAS and RFBR (Russia); MESTD (Serbia); SEIDI and CPAN (Spain); Swiss Funding Agencies (Switzerland); MST (Taipei); ThEPCenter, IPST, STAR and NSTDA (Thailand); TUBITAK and TAEK (Turkey); NASU and SFFR (Ukraine); STFC (United Kingdom); DOE and NSF (U.S.A.).

292 citations

Journal ArticleDOI
Albert M. Sirunyan, Armen Tumasyan, Wolfgang Adam1, Federico Ambrogi1  +2294 moreInstitutions (194)
TL;DR: In this paper, the Higgs boson mass was measured in the H → ZZ → 4l (l = e, μ) decay channel and the signal strength modifiers for individual Higgs production modes were also measured.
Abstract: Properties of the Higgs boson are measured in the H → ZZ → 4l (l = e, μ) decay channel. A data sample of proton-proton collisions at $ \sqrt{s}=13 $ TeV, collected with the CMS detector at the LHC and corresponding to an integrated luminosity of 35.9 fb$^{−1}$ is used. The signal strength modifier μ, defined as the ratio of the observed Higgs boson rate in the H → ZZ → 4l decay channel to the standard model expectation, is measured to be μ = 1.05$_{− 0.17}^{+ 0.19}$ at m$_{H}$ = 125.09 GeV, the combined ATLAS and CMS measurement of the Higgs boson mass. The signal strength modifiers for the individual Higgs boson production modes are also measured. The cross section in the fiducial phase space defined by the requirements on lepton kinematics and event topology is measured to be 2. 92$_{− 0.44}^{+ 0.48}$ (stat)$_{− 0.24}^{+ 0.28}$ (syst)fb, which is compatible with the standard model prediction of 2.76 ± 0.14 fb. Differential cross sections are reported as a function of the transverse momentum of the Higgs boson, the number of associated jets, and the transverse momentum of the leading associated jet. The Higgs boson mass is measured to be m$_{H}$ = 125.26 ± 0.21 GeV and the width is constrained using the on-shell invariant mass distribution to be Γ$_{H}$ < 1.10 GeV, at 95% confidence level.

290 citations

Journal ArticleDOI
TL;DR: Critical for practical applications, NU-1103 combines for the first time ultrahigh surface area and water stability, where this material retained complete structural integrity after soaking in water.
Abstract: An isoreticular series of metal–organic frameworks (MOFs) with the ftw topology based on zirconium oxoclusters and tetracarboxylate linkers with a planar core (NU-1101 through NU-1104) has been synthesized employing a linker expansion approach. In this series, NU-1103 has a pore volume of 2.91 cc g–1 and a geometrically calculated surface area of 5646 m2 g–1, which is the highest value reported to date for a zirconium-based MOF and among the largest that have been reported for any porous material. Successful activation of the MOFs was proven based on the agreement of pore volumes and BET areas obtained from simulated and experimental isotherms. Critical for practical applications, NU-1103 combines for the first time ultrahigh surface area and water stability, where this material retained complete structural integrity after soaking in water. Pressure range selection for the BET calculations on these materials was guided by the four so-called “consistency criteria”. The experimental BET area of NU-1103 was ...

288 citations

Journal Article
TL;DR: In this paper, a generalization of the Kalman filter for linear and nonlinear fractional order discrete state-space systems is presented, and a simple numerical example of linear state estimation is presented.
Abstract: This paper presents a generalization of the Kalman filter for linear and nonlinear fractional order discrete state-space systems. Linear and nonlinear discrete fractional order state-space systems are also introduced. The simplified kalman filter for the linear case is called the fractional Kalman filter and its nonlinear extension is named the extended fractional Kalman filter. The background and motivations for using such techniques are given, and some algorithms are discussed. The paper also shows a simple numerical example of linear state estimation. Finally, as an example of nonlinear estimation, the paper discusses the possibility of using these algorithms for parameters and fractional order estimation for fractional order systems. Numerical examples of the use of these algorithms in a general nonlinear case are presented.

287 citations


Authors

Showing all 14420 results

NameH-indexPapersCitations
Stefano Colafranceschi129110379174
Dezso Horvath128128388111
Valentina Dutta125117976231
Viktor Matveev123121273939
Anna Zanetti120148871375
Harold A. Scheraga120115266461
J. Pluta12065952025
Adam Ryszard Kisiel11869150546
Terence G. Langdon117115861603
Andrei Starodumov11469757900
T. Pawlak11137942455
John D. Pickard10762842479
W. Peryt10737640524
William G. Stevenson10158557798
Anil Kumar99212464825
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202380
2022207
20211,596
20201,804
20191,969
20182,072