Wyniki wyszukiwania dla: IDENTIFICATION OF NONSTATIONARY SYSTEMS - MOST Wiedzy

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Wyniki wyszukiwania dla: IDENTIFICATION OF NONSTATIONARY SYSTEMS

Wyniki wyszukiwania dla: IDENTIFICATION OF NONSTATIONARY SYSTEMS

  • IDENTIFICATION OF DAMAGES OF TRIBOLOGICAL ASSOCIATIONS IN CRANKSHAFT AND PISTON SYSTEMS OF TWO-STROKE INTERNAL COMBUSTION ENGINES USED AS MAIN PROPULSION IN SEA-GOING VESSELS AND PROPOSAL OF PROBABILISTIC DESCRIPTION OF LOADS AS CAUSES OF THESE DAMAGES

    Publikacja

    The article discusses damages of essential tribological associations in crankshaft and piston systems of large power two-stroke engines used as main engines, which take place during transport tasks performed by those ships. Difficulties are named which make preventing those damages impossible, despite the fact that the technical state of engines of this type is identified with the aid of complex diagnostic systems making use of...

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  • Zdzisław Kowalczuk prof. dr hab. inż.

    W 1978 ukończył studia w zakresie automatyki i informatyki na Wydziale Elektroniki Politechniki Gdańskiej, następnie rozpoczął pracę na macierzystej uczelni. W 1986 obronił pracę doktorską, w 1993 habilitował się na Politechnice Śląskiej na podstawie pracy Dyskretne modele w projektowaniu układów sterowania. W 1996 mianowany profesorem nadzwyczajnym, w 2003 otrzymał tytuł profesora nauk technicznych. W 2006 założył i od tego czasu...

  • System identification

    Kursy Online
    • M. Niedźwiecki

    The course focusses on the problem of identification of dynamic systems.

  • System identification - new

    Kursy Online
    • M. Niedźwiecki

    The course focusses on the problem of identification of dynamic systems.

  • Rafał Łangowski dr inż.

    Dr inż. Rafał Łangowski jest absolwentem Wydziału Elektrotechniki i Automatyki Politechniki Gdańskiej (studia magisterskie ukończył z wyróżnieniem w 2003 roku). W roku 2015 uzyskał stopień doktora nauk technicznych w dyscyplinie automatyka i robotyka. Pracę doktorską pt. "Algorytmy alokacji punktów monitorowania jakości w systemach dystrybucji wody pitnej" obronił z wyróżnieniem na Wydziale Elektrotechniki i Automatyki. W latach...

  • Two-Stage Identification of Locally Stationary Autoregressive Processes and its Application to the Parametric Spectrum Estimation

    Publikacja

    The problem of identification of a nonstationary autoregressive process with unknown, and possibly time-varying, rate of parameter changes, is considered and solved using the parallel estimation approach. The proposed two-stage estimation scheme, which combines the local estimation approach with the basis function one, offers both quantitative and qualitative improvements compared with the currently used single-stage methods.

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  • Mirosław Wołoszyn dr hab. inż.

    Urodził się 18 marca 1963 r. w Gdyni. Absolwent Wydziału Elektrycznego Politechniki Gdańskiej. Od 1987 r. pracuje na Wydziale Elektrotechniki i Automatyki Politechniki Gdańskiej. W roku 1997 uzyskał stopień doktora nauk technicznych, a w roku 2013 – stopień doktora habilitowanego. Aktualnie zatrudniony na stanowisku profesora nadzwyczajnego. Jego zainteresowania badawcze dotyczą lokalizacji i identyfikacji obiektów ferromagnetycznych...

  • New results on estimation bandwidth adaptation

    Publikacja

    The problem of identification of a nonstationary autoregressive signal using non-causal estimation schemes is considered. Noncausal estimators can be used in applications that are not time-critical, i.e., do not require real-time processing. A new adaptive estimation bandwidth selection rule based on evaluation of pseudoprediction errors is proposed, allowing one to adjust tracking characteristics of noncausal estimators to unknown...

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  • Lattice filter based multivariate autoregressive spectral estimation with joint model order and estimation bandwidth adaptation

    The problem of parametric, autoregressive model based estimation of a time-varying spectral density function of a multivariate nonstationary process is considered. It is shown that estimation results can be considerably improved if identification of the autoregressive model is carried out using the two-sided doubly exponentially weighted lattice algorithm which combines results yielded by two one-sided lattice algorithms running...

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  • Akaike's final prediction error criterion revisited

    Publikacja

    When local identification of a nonstationary ARX system is carried out, two important decisions must be taken. First, one should decide upon the number of estimated parameters, i.e., on the model order. Second, one should choose the appropriate estimation bandwidth, related to the (effective) number of input-output data samples that will be used for identification/ tracking purposes. Failure to make the right decisions results...

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  • ESTIMATION OF NONSTATIONARY HARMONIC SIGNALS AND ITS APPLICATION TO ACTIVE CONTROL OF MRI NOISE

    Publikacja

    - Rok 2013

    A new adaptive comb filtering algorithm, capable of tracking the fundamental frequency and amplitudes of different frequency components of a nonstationary harmonic signal embedded in white measurement noise, is proposed. Frequency tracking characteristics of the new scheme are studied analytically, proving (under Gaussian assumptions and optimal tuning) its statistical efficiency for quasi-linear frequency changes. Laboratory tests...

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  • Lattice filter based autoregressive spectrum estimation with joint model order and estimation bandwidth adaptation

    Publikacja

    The problem of parametric, autoregressive model based estimation of a time-varying spectral density function of a nonstationary process is considered. It is shown that estimation results can be considerably improved if identification of the autoregressive model is carried out using the two-sided doubly exponentially weighted lattice algorithm which combines results yielded by two one-sided lattice algorithms running forward in...

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  • A self-optimization mechanism for generalized adaptive notch smoother

    Publikacja

    Tracking of nonstationary narrowband signals is often accomplished using algorithms called adaptive notch filters (ANFs). Generalized adaptive notch smoothers (GANSs) extend the concepts of adaptive notch filtering in two directions. Firstly, they are designed to estimate coefficients of nonstationary quasi-periodic systems, rather than signals. Secondly, they employ noncausal processing, which greatly improves their accuracy and...

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  • Mathematical and numerical modelling,W,IDE-EMSS,IIst,sem.01,lato,2023/24 (PG_00057379)

    Kursy Online
    • K. J. Kaliński

    Modelling of controlled mechanical systems by the mixed method of rigid and flexible finite elements: The finite element volume problems. Dynamics of multibody systems. Modelling of stationary closed loop systems. Modelling of systems whose configuration changes with time. Modelling of nonlinear controlled systems. Optimal control at energy performance index: Control of continuous nonstationary systems in domain of generalised...

  • Mathematical and Numerical Modelling, L, IDE IInd, sem.01, summer, 2022/23(00057379)

    Kursy Online
    • K. J. Kaliński

    Modelling of controlled mechanical systems by the mixed method of rigid and flexible finite elements: The finite element volume problems. Dynamics of multibody systems. Modelling of stationary closed loop systems. Modelling of systems whose configuration changes with time. Modelling of nonlinear controlled systems. Optimal control at energy performance index: Control of continuous nonstationary systems in domain of generalised...

  • Application of dynamic impedance spectroscopy to scanning probe microscopy.

    Dynamic impedance spectroscopy, designed for measuring nonstationary systems, was used in combination with scanning probe microscopy. Using this approach, impedance mapping could be carried-out simultaneously with topography scanning. Therefore, correlation of electrical properties with particular phases of an examined sample was possible. The sample used in this study was spheroidal graphite cast iron with clearly defined phases...

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  • Parallel frequency tracking with built-in performance evaluation

    The problem of estimation of instantaneous frequency of a nonstationary complex sinusoid (cisoid) buried in wideband noise is considered. The proposed approach employs a bank of adaptive notch filters, extended with a nontrivial performance assessment mechanism which automatically chooses the best performing filter in the bank. Additionally, a computationally attractive method of implementing the bank is proposed. The new structure...

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  • Ewa Wagner-Wysiecka dr hab. inż.

    Ewa Wagner-Wysiecka absolwentka Wydziału Chemicznego PG (Kierunek Technologia Chemiczna, kierunek dyplomowania: Technologia Nieorganiczna, specjalność: Analityka Techniczna i Przemysłowa). Pracę magisterską pt. ”Identyfikacja zanieczyszczeń występujących w farmakopealnej sulfachinoksalinie” zrealizowała pod kierunkiem prof. dr hab. inż. Jana F. Biernata. Po ukończeniu studiów magisterskich (1997 r.) rozpoczęła studia doktoranckie....

  • Marek Dzida dr hab. inż.

    Urodził się 6 sierpnia 1953 r. w Bielsku-Białej. Absolwent Instytutu Okrętowego Politechniki Gdańskiej, od 1978 r. pracuje na Wydziale Oceanotechniki i Okrętownictwa PG. W 1983 r. uzyskał tytuł doktora nauk technicznych, w 2001 r. – doktora habilitowanego. Aktualnie zatrudniony na stanowisku profesora nadzwyczajnego na PG. Pełnił funkcję prodziekana ds. kształcenia WOiO (1996–2002) oraz dziekana (2005–2012). Od 2010 r. jest kierownikiem...

  • On Bayesian Tracking and Prediction of Radar Cross Section

    We consider the problem of Bayesian tracking of radar cross section. The adopted observation model employs the gamma family, which covers all Swerling cases in a unified framework. State dynamics are modeled using a nonstationary autoregressive gamma process. The principal component of the proposed solution is a nontrivial gamma approximation, applied during the time update recursion. The superior performance of the proposed approach...

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  • On adaptive covariance and spectrum estimation of locally stationary multivariate processes

    Publikacja

    - AUTOMATICA - Rok 2017

    When estimating the correlation/spectral structure of a locally stationary process, one has to make two important decisions. First, one should choose the so-called estimation bandwidth, inversely proportional to the effective width of the local analysis window, in the way that complies with the degree of signal nonstationarity. Too small bandwidth may result in an excessive estimation bias, while too large bandwidth may cause excessive...

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  • BUILT IN PERFORMANCE EVALUATION FOR AN ADAPTIVE NOTCH FILTER

    Publikacja

    The problem of estimating instantaneous frequency of a non- stationary complexsinusoid (cisoid) buried in wideband no ise is considered. The proposed approach extends adaptive notc h filtering algorithm with a nontrivial performance assessme nt mechanism which can be used to optimize frequency tracking performance of the adaptive filter. Simulation results confi rm that the proposedextension allows one to improveaccuracyo f frequency...

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  • Frequency based criterion for distinguishing tonal and noisy spectral components

    A frequency-based criterion for distinguishing tonal and noisy spectral components is proposed. For considered spectral local maximum two instantaneous frequency estimates are determined and the difference between them is used in order to verify whether component is noisy or tonal. Since one of the estimators was invented specially for this application its properties are deeply examined. The proposed criterion is applied to the...

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  • Cheap Cancellation of Strong Echoes for Digital Passive and Noise Radars

    The problem of cancellation of strong, potentially nonstationary,echoes in noise radars and passive radars utilizing digitaltransmissions is considered. The proposed solution is a multi-stage procedure.Initial clutter estimates, obtained using the least mean squares(LMS) algorithm, are refined using specially designed filters, "matched"to spectral densities of targets and clutter. When the postprocessing filtersare noncausal, the...

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  • Multichannel self-optimizing active noise control scheme

    Publikacja

    The problem of cancellation of a nonstationary sinusoidal interference, acting at the output of an unknown multivariable linear stable plant, is considered. The proposed cancellation scheme is a nontrivial extension of the SONIC (self-optimizing narrowband interference canceller) algorithm, developed earlier for single-input, single-output plants. In the important benchmark case - for disturbances with randomwalk-type amplitude...

  • Tomasz Korol dr hab. inż.

    Wykształcenie Politechnika Gdańska, Wydział Zarządzania i Ekonomii (2001) University of Applied Sciences Stralsund (1999) Stopień naukowy Doktor habilitowany – Politechnika Gdańska, Wydział Zarządzania i Ekonomii (2015) Doktor – Politechnika Gdańska, Wydział Zarządzania i Ekonomii (2004) Zatrudnienie Politechnika Gdańska: profesor uczelni (od 2019); profesor nadzwyczajny (2017-2019); adiunkt (2004-2016); asystent (2001-2004) I-Shou...

  • Multifrequency self-optimizing narrowband interference canceller

    Publikacja

    The problem of cancellation of a nonstationary sinusoidal interference, acting at the output of a linear stable plant, is considered. It is assumed that disturbance is a multifrequency narrowband signal, and that system output is contaminated with wideband noise. It is not assumed that the reference signal is available. Two disturbance cancelling schemes are proposed, one for disturbances with unrelated frequency components, and...

  • Quadratic Cohen representations in spectral analysis of serration process in Al–Mg alloys

    Important from mechanical point of view the Portevin–Le Chatelier serration phenomenon is being characterized by a complicated spectral profile. As a typical example of nonstationary processes it demands a special treatment allowing to follow the evolution of energy of stress fluctuations as a function of strain. The authors suggest the utilization of a compact system of quadratic transformations, known as Cohen class, as a technique...

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  • On the instantaneous frequency smoothing for signals with quasi-linear frequency changes

    Publikacja

    The problem of estimation of the slowly-varying instantaneous frequency of a nonstationary complex sinusoidal signal buried in noise is considered. This problem is usually solved using frequency tracking algorithms. It is shown that the accuracy of frequency estimates can be considerably increased if the results yielded by the frequency tracker are further processed using the appropriately designed filters. The resulting frequency...

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  • On autoregressive spectrum estimation using the model averaging technique

    The problem of estimating spectral density of a nonstationary process satisfying local stationarity conditions is considered. The proposed solution is a two step procedure based on local autoregressive (AR) modeling. In the first step Bayesian-like averaging of AR models, differing in order, is performed. The main contribution of the paper is development of a new final-prediction-error-like statistic, which can be used to select...

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  • 2024/2025 System Identification

    Kursy Online
    • A. Gańcza

    Lecture on System Identification

  • New Algorithms for Adaptive Notch Smoothing

    The problem of extraction/elimination of a nonstationary complex sinusoidal signal buried in noise is considered. This problem is usually solved using adaptive notch filtering (ANF)algorithms. It is shown that accuracy of signal estimation can be increased if the results obtained from ANF are further processed using a cascade of appropriately designed filters. The resulting adaptive notch smoothing (ANS) algorithms can be employed...

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  • New semi-causal and noncausal techniques for detection of impulsive disturbances in multivariate signals with audio applications

    This paper deals with the problem of localization of impulsive disturbances in nonstationary multivariate signals. Both unidirectional and bidirectional (noncausal) detection schemes are proposed. It is shown that the strengthened pulse detection rule, which combines analysis of one-step-ahead signal prediction errors with critical evaluation of leave-one-out signal interpolation errors, allows one to noticeably improve detection results...

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  • Aktywny system RFID do lokalizacji i identyfikacji obiektów w wielomodalnej infrastrukturze bezpieczeństwa

    Przedstawiono prace koncepcyjne, badawcze oraz implementacyjne skoncentrowane na praktycznej realizacji systemu detekcji obiektów z wykorzystaniem kamer wizyjnych i identyfikacji radiowej. Zaproponowano rozbudowę wielomodalnego teleinformatycznego systemu bezpieczeństwa o warstwę identyfikacji radiowej obiektów. Omówiono założenia zaprojektowanego systemu oraz opracowaną warstwę sprzętową. Zaproponowano i przedyskutowano praktyczne...

  • CYBERNETICS AND SYSTEMS

    Czasopisma

    ISSN: 0196-9722 , eISSN: 1087-6553

  • Estimation of time-frequency complex phase-based speech attributes using narrow band filter banks

    Publikacja

    - Rok 2017

    In this paper, we present nonlinear estimators of nonstationary and multicomponent signal attributes (parameters, properties) which are instantaneous frequency, spectral (or group) delay, and chirp-rate (also known as instantaneous frequency slope). We estimate all of these distributions in the time-frequency domain using both finite and infinite impulse response (FIR and IIR) narrow band filers for speech analysis. Then, we present...

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  • Electrochemical Evaluation of Sustainable Corrosion Inhibitors via Dynamic Electrochemical Impedance Spectroscopy

    Publikacja

    - Rok 2021

    Finding suitable measurement methods for the effective management of electrochemical problems is of paramount importance, particularly for improving efficiency in corrosion protection. The need for accurate measurement techniques specific to nonstationary conditions has long been recognized, and promising approaches have emerged. This chapter introduces dynamic electrochemical impedance spectroscopy as a novel advancement in electrochemistry...

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  • System identification 2023/24 - project

    Kursy Online
    • K. Dudziak

    This is the project part of the System Identification subject.

  • Identification of Changes in Signals - 2023

    Kursy Online
    • J. Kozłowski

    Identification of Changes in Signals (practice) Identyfikacja Zmian w Sygnałach (ćw.)

  • Implementation of constant component filter in measurements of random telegraph signal noise

    Noise is generated in all semiconductor devices. The intensity of these fluctuations depends on used elements, manufacturing process, operating conditions and device type. The result noise is a superposition of different kinds of fluctuations like thermal noise, generation-recombination noise, 1/f noise, shot noise and Random Telegraph Signal (RTS) noise. The last one, RTS noise is observed as nonstationary impulse fluctuations....

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  • Statistically efficient smoothing algorithm for time-varying frequency estimation

    The problem of extraction/elimination of a nonstationary sinusoidal signal from noisy measurements is considered. This problem is usually solved using adaptive notch filtering (ANF) algorithms. It is shown that the accuracy of frequency estimates can be significantly increased if the results obtained from ANF are backward-time filtered by an appropriately designed lowpass filter. The resulting adaptive notch smoothing (ANS) algorithm...

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  • Wybrane aspekty oceny satysfakcji i lojalności klientów i pracowników

    Celem artykułu jest przedstawienie propozycji oryginalnego modelu pozwalającego lepiej zrozumieć mechanizmy kształtowania się satysfakcji i lojalności klientów i pracowników oraz umożliwiającego porównywanie satysfakcji klientów różnych przedsiębiorstw w oderwaniu od ich specyfiki branżowej. Zaprezentowany model opiera się na mechanizmach przyczynowo-skutkowych i pozwala na stawianie kwantyfikowalnych celów, dając w rezultacie...

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  • From the multiple frequency tracker to the multiple frequency smoother

    Publikacja

    - Rok 2008

    The problem of extraction/elimination of nonstationary sinusoidalsignals from noisy measurements is considered. This problem is usually solved using adaptive notch filtering (ANF)algorithms. It is shown that the accuracy of frequency estimates can be significantly increased if the results obtained from ANF are backward-time filtered by an appropriately designed lowpass filter. The resulting adaptive notch smoothing (ANS)algorithm...

  • Analysis of unsteady flow forces on the thermowell of steam temperature sensor

    Publikacja
    • S. Kornet
    • D. Sławiński
    • P. Ziółkowski
    • J. Badur

    - Transactions of the Institute of Fluid-Flow Machinery - Rok 2015

    In this paper, 3D numerical analysis of unsteady flow forces acting on the measuring sheath of steam temperature is presented. According to that purpose, the CFD (Computation Fluid Dynamic [1]) approach has been used. The nonstationary of fluid acting on the measuring sheath such as: Strouhal frequency, amplitude of pressure, structure of vortex, peak of pressure, field of pressure, field of velocity etc. are studied analytically...

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  • ALGORYTMY STEROWANIA SILNIKA WYSOKOPRĘŻNEGO Z UKŁADEM COMMON RAIL

    Rozwój wiedzy i technologii związanej z procesami spalania paliwa w silniku i prowadzeniem kontrolowanego procesu spalania, skutkuje wzrostem sprawności silników i lepszą ochroną środowiska. Ciekawym rozwiązaniem technicznym jest silnik z zapłonem samoczynnym pracujący z bardzo wysokim ciśnieniem wtrysku paliwa i często z recyrkulacją spalin – silnik z układem Common Rail. Do sterowania silnika stosowane są złożone układy mechatroniczne...

  • Multichannel self-optimizing narrowband interference canceller

    Publikacja

    The problem of cancellation of a nonstationary sinusoidal interference, acting at the output of an unknown multivariable linear stable plant, is considered. No reference signal is assumed to be available. The proposed feedback controller is a nontrivial extension of the SONIC (self-optimizing narrowband interference canceller) algorithm, developed earlier for single-input, single-output plants. The algorithm consists of two loops:...

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  • Self-optimizing narrowband interference canceller - can reference signal help?

    Publikacja

    SONIC (Self-Optimizing Narrowband Interference Canceller) is an acronym of the recently proposed active noise control algorithm with interesting adaptivity and robustness properties. SONIC is a purely feedback controller, capable of rejecting nonstationary sinusoidal disturbances (with time-varying amplitudes and/or frequencies) in the presence of plant (secondary path) uncertainties. We show that even though SONIC can work reliably...

  • Broken Rotor Symptons in the Sensorless Control of Induction Machine

    Publikacja

    Inverter fed sensorless controlled variable speed drives with induction machine are widely used in the industry applications, also in wind power generation and electric vehicles. On-line self diagnostic systems implementation is needed for early stage fault detection and avoiding a critical fault. Diagnostic algorithms in modern DSP-based controllers can operate simultaneously with control system functions. In the closed-loop controlled...

  • Michał Grochowski dr hab. inż.

    Professor and a  Head  of  the  Department  of  Intelligent Control and Decision Support Systems at  Gdansk  University  of  Technology (GUT). He is also a Member  of the Board of the Digital Technologies  Center  of  GUT.  He received  his M.Sc. degree in Control Engineering  in  2000  from  the  Electrical  and  Control Engineering Faculty at the GUT. In 2004 he received a Ph.D. degree in Automatic Control and Robotics from this...

  • Hybrid SONIC: joint feedforward–feedback narrowband interference canceler

    SONIC (self-optimizing narrowband interference canceler) is an acronym of a recently proposed active noise control algorithm with interesting adaptivity and robustness properties. SONIC is a purely feedback controller, capable of rejecting nonstationary sinusoidal disturbances (with time-varying amplitude and/or frequency) in the presence of plant (secondary path) uncertainty. We show that although SONIC can work reliably without...

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