Search Results - "Shutin, D."

Intelligent robust controllers for tribotronic conical fluid film bearings by Kazakov, Yu. N., Shutin, D. V., Savin, L. A.

“…The article presents the results of the development of means for intelligent robust control of the parameters of a tribotronic rotor-support system with a…”
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Approximation of forces of fluid film bearing lubricating layer using machine learning methods by Kazakov, Yu. N., Stebakov, I. N., Shutin, D. V., Savin, L. A.

“…The article analyzes the application of various machine learning methods for solving the problem of approximating the forces of fluid film bearing lubricating…”
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Combining native and ‘omics’ mass spectrometry to identify endogenous ligands bound to membrane proteins by Gault, Joseph, Liko, Idlir, Landreh, Michael, Shutin, Denis, Bolla, Jani Reddy, Jefferies, Damien, Agasid, Mark, Yen, Hsin-Yung, Ladds, Marcus J. G. W., Lane, David P., Khalid, Syma, Mullen, Christopher, Remes, Philip M., Huguet, Romain, McAlister, Graeme, Goodwin, Michael, Viner, Rosa, Syka, John E.P., Robinson, Carol V.

“…Ligands bound to protein assemblies provide critical information for function, yet are often difficult to capture and define. Here we develop a top-down…”
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Structure and elevator mechanism of the mammalian sodium/proton exchanger NHE9 by Winkelmann, Iven, Matsuoka, Rei, Meier, Pascal F, Shutin, Denis, Zhang, Chenou, Orellana, Laura, Sexton, Ricky, Landreh, Michael, Robinson, Carol V, Beckstein, Oliver, Drew, David

“…Na + /H + exchangers (NHEs) are ancient membrane‐bound nanomachines that work to regulate intracellular pH, sodium levels and cell volume. NHE activities…”
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Sparse Variational Bayesian SAGE Algorithm With Application to the Estimation of Multipath Wireless Channels by Shutin, D., Fleury, B. H.

“…In this paper, we develop a sparse variational Bayesian (VB) extension of the space-alternating generalized expectation-maximization (SAGE) algorithm for the…”
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Fast Variational Sparse Bayesian Learning With Automatic Relevance Determination for Superimposed Signals by Shutin, D., Buchgraber, T., Kulkarni, S. R., Poor, H. V.

“…In this work, a new fast variational sparse Bayesian learning (SBL) approach with automatic relevance determination (ARD) is proposed. The sparse Bayesian…”
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Ion Binding to a Mammalian Sodium/Proton Exchanger Membrane Protein from Molecular Dynamics Simulations by Zhang, Chenou, Sexton, Ricky, Winkelmann, Iven, Matsuoka, Rei, Meier, Pascal, Shutin, Denis, Orellana, Laura, Landreh, Michael, Robinson, Carol V., Drew, David, Beckstein, Oliver

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Clustering wireless channel impulse responses in angular-delay domain by Shutin, D.

“…This work introduces a novel wireless MIMO channel clustering technique implemented in angular and delay domains. The clustering is preceded by extraction of…”
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Mitigation of Impulsive Frequency-Selective Interference in OFDM Based Systems by Epple, U., Shutin, D., Schnell, M.

“…In this paper, an algorithm for mitigating impulsive interference in OFDM based systems is presented. It improves the conventional blanking nonlinearity…”
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Incremental Reformulated Automatic Relevance Determination by Shutin, D., Kulkarni, S. R., Poor, H. V.

“…In this work, the relationship between the incremental version of sparse Bayesian learning (SBL) with automatic relevance determination (ARD)-a fast marginal…”
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Cluster analysis of wireless channel impulse responses by Shutin, D.

“…This paper introduces a novel wireless channel clustering technique based on the Saleh-Valenzuela channel model. The impulse response is regarded as a single…”
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Precise aeronautical ground based navigation using LDACS1 by Schneckenburger, N., Shutin, D., Schnell, M.

“…In order to cope with the increasing demand for communication capacity in the aeronautical sector, the Future Communications Infrastructure is currently being…”
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Application of Bayesian hierarchical prior modeling to sparse channel estimation by Pedersen, Niels Lovmand, Manchon, C. N., Shutin, D., Fleury, B. H.

“…Existing methods for sparse channel estimation typically provide an estimate computed as the solution maximizing an objective function defined as the sum of…”
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Distributed variational sparse Bayesian learning for sensor networks by Buchgraber, T., Shutin, D.

“…In this work we present a distributed sparse Bayesian learning (dSBL) regression algorithm. It can be used for collaborative sparse estimation of spatial…”
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Trading approximation quality versus sparsity within incremental automatic relevance determination frameworks by Shutin, D., Buchgraber, T.

“…In this paper a trade-off between sparsity and approximation quality of models learned with incremental automatic relevance determination (IARD) is addressed…”
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Tracking direction-of-arrival for wireless communication with multiple antennas by Shutin, D., Kubin, G.

“…The goal of this contribution is to bind together results available for radar systems for direction-of-arrival (DOA) tracking and wireless communications with…”
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The german national project ICONAV by Schnell, M., Epple, U., Shutin, D., Schneckenburger, N., Bogl, T.

“…Combining communications with a navigation functionality in LDACS1 enables sustainable use of aeronautical L-band spectrum - LDACS1 is well-suited to serve…”
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Adaptive nonlinear controller of rotor position in active hybrid bearings by Shutin, D., Polyakov, R.

“…The process of improving the rotating machinery is tightly connected with reduction of vibrations level. It can be implemented by using active bearings. The…”
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Evidence-based custom-precision estimation with applications to solving nonlinear approximation problems by Shutin, D, Mucke, M

“…Reconfigurable logic (FPGA) allows to implement custom-precision arithmetic units. In this work we propose an algorithm, which employs a Bayesian technique to…”
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Echo State wireless sensor networks by Shutin, D., Kubin, G.

“…This paper addresses the question of temporal learning in spatially distributed wireless sensor networks (WSN). We propose to fuse WSNs with the echo states…”
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