Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

English (EN)·Polski (PL)·Yкраїнський (UK)
Przejdź do strony domowej biblioteki Centralna Biblioteka Wojskowa Link otwiera się w nowym oknie Logo biblioteki Prolib Integro - strona głównaCentralna Biblioteka Wojskowa

Wyszukujesz frazę "particle tracking" wg kryterium: Temat

  Lista filtrów
Wyrównaj
    Wyświetlanie 1-8 z 8
    Tytuł:
    Próba modelowania prędkości przepływu wody oraz rozprzestrzeniania się zanieczyszczeń w jeziorze Gopło
    Attempt modelling water velocity and the spread of contamination in the Gopło Lake
    Autorzy:
    Juśkiewicz, W.
    Powiązania:
    https://bibliotekanauki.pl/articles/294839.pdf
    Data publikacji:
    2013
    Wydawca:
    Stowarzyszenie Geomorfologów Polskich
    Tematy:
    modele RMA
    mapa prędkości
    transport zanieczyszczeń
    śledzenie cząstek
    jezioro Gopło
    RMA models
    velocity map
    contaminant transport
    particle tracking
    Gopło Lake
    Opis:
    W artykule omówiono modelowanie przepływu wody w jeziorze Gopło. Opisano zastosowane modele matematyczne, dane wejściowe oraz napotkane trudności. Przedstawiono użyte do modelowania siatki elementów skończonych oraz przykładowe symulacje rozprzestrzeniania się substancji w jeziorze. Dalszym etapem badań będzie korelacja źródeł zanieczyszczeń z zapisem w osadach dennych Gopła.
    This paper discusses the modelling of the flow of water in the Gopło Lake. Describes the mathematical models used, the input data and the difficulties encountered. Presented used to model the finite element mesh and sample simulations spreading substances in the lake. The next stage of research will be the correlation of the sources of pollution in sediments record Gopło.
    Źródło:
    Landform Analysis; 2013, 25; 21-27
    1429-799X
    Pojawia się w:
    Landform Analysis
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Inhaled drug airflow patterns and particles deposition in the paediatric respiratory tract
    Autorzy:
    Tyfa, Zbigniew
    Jóźwik, Paulina
    Obidowski, Damian
    Reorowicz, Piotr
    Jodko, Daniel
    Kapka, Krystyna
    Makosiej, Ryszard
    Czkwianianc, Elżbieta
    Powiązania:
    https://bibliotekanauki.pl/articles/27324137.pdf
    Data publikacji:
    2020
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    patient-specific model
    particle tracking
    inhaled drug
    airflow CFD simulation
    paediatric respiratory tract
    śledzenie cząstek
    lek wziewny
    symulacja CFD przepływu powietrza
    respirator dziecięcy
    Opis:
    : The effectiveness of inhaled drugs is strictly related to areas reachable by drug particles. Unless particles reach the desired part of the bronchial tree, their influence might not meet the expectations. Consequently, the disease progress might not be stopped or even slowed down. Therefore, the primary objective of this research was to analyze the airflow patterns and particle deposition of a standard inhaled drug using computational fluid dynamics. Methods: The study was devoted to the analysis of the particle diameter influence on their deposition areas within the entire respiratory tract. Two patient-specific respiratory tract models, for 6 and 12-year-old patients, were reconstructed based on the computed tomography examinations. Numerical analyses were carried out as stationary ones with the constant inflow of the particles of various diameters (within the range of 1–50 μm). It was proven that depending on the particle size, their deposition within the respiratory tract varies significantly. Results: The vast majority of the particles with diameters over 20 μm is gathered on the walls of the throat, whereas particles of diameters 5–15 μm are accumulated mainly on the trachea walls, leaving the alveoli insufficiently supplied with the drug particles. Conclusions: The inhaled drug size cannot be treated as negligible factor during the drug spraying. An improper distribution of the particles might not inhibit the symptoms of the asthma. Numerical simulations may improve drugs selection and visualize their distribution along the airways, which might accelerate asthma treatment personalization.
    Źródło:
    Acta of Bioengineering and Biomechanics; 2020, 22, 2; 101--110
    1509-409X
    2450-6303
    Pojawia się w:
    Acta of Bioengineering and Biomechanics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The collapse of sequential Bayesian estimator in two-target tracking problem
    Autorzy:
    Stano, P. M.
    Powiązania:
    https://bibliotekanauki.pl/articles/92973.pdf
    Data publikacji:
    2018
    Wydawca:
    Uniwersytet Przyrodniczo-Humanistyczny w Siedlcach
    Tematy:
    track coalescence
    Bayesian operator
    target tracking
    particle filter
    Opis:
    Track coalescence is a phenomenon that occurs in multi-target tracking applications where certain types of manoeuvres performed simultaneously by several targets can utterly confuse algorithms that track their positions. In its simplest form, the phenomenon occurs when two similar objects, initially well separated, get close to each other and follow similar manoeuvres for a period of time sufficient to confound the tracking algorithm so that when the objects finally depart from each other the tracking algorithm is prone to provide erroneous estimates. This two-target track coalescence is discussed in this paper with the focus on the compound coalescence, when two identical tracks follow the midpoint of two well separated targets. First, the problem is illustrated on a classic problem of tracking two targets manoeuvring in a clutter, which is modeled as a nonlinear stochastic system. It is shown how, otherwise accurate and precise, estimates obtained by a standard particle filter eventually collapse leading to the coalescence of tracks. The phenomenon is given theoretical explanation by the analysis of Bayesian update operator acting on L2-space of probability densities that reveals that the coalescence is an unavoidable consequence of the probabilistic mixing between distributions describing positions of two targets. Finally, the practical consequences of these theoretical results are discussed together with potential approaches to deal with track coalescence in real applications.
    Źródło:
    Studia Informatica : systems and information technology; 2018, 1-2(22); 32-45
    1731-2264
    Pojawia się w:
    Studia Informatica : systems and information technology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Nonlinear multiple model particle filters algorithm for tracking multiple targets
    Autorzy:
    Sebbagh, A.
    Tebbikh, H.
    Powiązania:
    https://bibliotekanauki.pl/articles/229441.pdf
    Data publikacji:
    2011
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    estimation
    particle filter
    multiple targets tracking
    multiple model approach
    Opis:
    The paper addresses multiple targets tracking problem encountered in number of situations in signal and image processing. In this paper, we present an efficient filtering algorithm to perform accurate estimation in jump Markov nonlinear systems, which we aim to contribute in solving the problem of multiple targets tracking using bearings-only measurements. The idea of this algorithm consists of the combination between the multiple model approach and particle filtering methods, which give a nonlinear multiple model particle filters algorithm. This algorithm is used to estimate the trajectories of multiple targets assumed to be nonlinear, from their noisy bearings.
    Źródło:
    Archives of Control Sciences; 2011, 21, 1; 37-60
    1230-2384
    Pojawia się w:
    Archives of Control Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Nonlinear vibration signal tracking of large offshore bridge stayed cable based on particle filter
    Autorzy:
    Ye, Q.
    Feng, Z.
    Yuan, D.
    Powiązania:
    https://bibliotekanauki.pl/articles/260358.pdf
    Data publikacji:
    2015
    Wydawca:
    Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
    Tematy:
    nonlinear vibration of stayed cables
    large offshore bridge
    particle filter
    signal tracking
    Opis:
    The stayed cables are key stress components of large offshore bridge. The fault detection of stayed cable is very important for safe of large offshore bridge. A particle filter model and algorithm of nonlinear vibration signal are used in this paper. Firstly, the particle filter model of stayed cable of large offshore bridge is created. Nonlinear dynamic model of the stayed-cable and beam coupling system is dispersed in temporal dimension by using the finite difference method. The discrete nonlinear vibration equations of any cable element are worked out. Secondly, a state equation of particle filter is fitted by least square algorithm from the discrete nonlinear vibration equations. So the particle filter algorithm can use the accurate state equations. Finally, the particle filter algorithm is used to filter the vibration signal of bridge stayed cable. According to the particle filter, the de-noised vibration signal can be tracked and be predicted for a short time accurately. Many experiments are done at some actual bridges. The simulation experiments and the actual experiments on the bridge stayed cables are all indicating that the particle filter algorithm in this paper has good performance and works stably.
    Źródło:
    Polish Maritime Research; 2015, 4; 70-75
    1233-2585
    Pojawia się w:
    Polish Maritime Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Hybrid MPPT algorithm for PV systems under partially shaded conditions using a stochastic evolutionary search and a deterministic hill climbing
    Autorzy:
    Basiński, K.
    Ufnalski, B.
    Grzesiak, L. M.
    Powiązania:
    https://bibliotekanauki.pl/articles/1193446.pdf
    Data publikacji:
    2017
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    maximum power point tracking
    photovoltaic system
    hybrid part-stochastic part-deterministic search rule
    particle swarm optimization (PSO)
    partial shading
    hill climbing
    Opis:
    A hybrid maximum power point tracking method has been proposed for the photovoltaic system using a stochastic evolutionary search and a deterministic hill climbing algorithm. The proposed approach employs the particle swarm optimizer (PSO) to solve a dynamic optimization problem related to the control task in a PV system. The position of the best particle is updated by the hill climbing algorithm, and the position of the rest of the particles by the classic PSO rule. The presented method uses the re-randomization mechanism, which places five consecutive particles randomly, but in specified intervals. This mechanism helps track the maximum power point under partially shaded conditions.
    Źródło:
    Power Electronics and Drives; 2017, 2, 37/2; 49-59
    2451-0262
    2543-4292
    Pojawia się w:
    Power Electronics and Drives
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Evolutionary Algorithm for Particle Trajectory Reconstruction within Inhomogeneous Magnetic Field in the NA61/SHINE Experiment at CERN SPS
    Autorzy:
    Wyszyński, Oskar
    Powiązania:
    https://bibliotekanauki.pl/articles/1373697.pdf
    Data publikacji:
    2015
    Wydawca:
    Uniwersytet Jagielloński. Wydawnictwo Uniwersytetu Jagiellońskiego
    Tematy:
    tracking
    event
    reconstruction
    particle
    high
    energy
    physics
    HEP
    NA61
    SHINE
    CERN
    TPC
    magnetic
    field
    CMA
    evolutionary
    strategy
    bayes
    generative
    discriminative
    Opis:
    In this paper, a novel probabilistic tracking method is proposed. It combines two competing models: (i) a discriminative one for background classification; and (ii) a generative one as a track model. The model competition, along with a combinatorial data association, shows good signal and background noise separation. Furthermore, a stochastic and derivative-free method is used for parameter optimization by means of the Covariance Matrix Adaptation Evolutionary Strategy (CMA-ES). Finally, the applicability and performance of the particle trajectories reconstruction are shown. The algorithm is developed for NA61/SHINE data reconstruction purpose and therefore the method was tested on simulation data of the NA61/SHINE experiment.
    Źródło:
    Schedae Informaticae; 2015, 24; 159-177
    0860-0295
    2083-8476
    Pojawia się w:
    Schedae Informaticae
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Optimal State Estimation via Adaptive Fuzzy Particle Filter
    Optymalne szacowanie stanu za pomocą adaptacyjnego filtra cząstek rozmytych
    Autorzy:
    Sąsiadek, Jurek
    Bitlmal, Hamdan Alatresh
    Powiązania:
    https://bibliotekanauki.pl/articles/27312467.pdf
    Data publikacji:
    2023
    Wydawca:
    Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
    Tematy:
    mobile robot tracking
    adaptive fuzzy particle filter
    fuzzy logic
    sensor fusion
    śledzenie robotów mobilnych
    adaptacyjny filtr cząstek rozmytych
    logika rozmyta
    fuzja czujników
    Opis:
    Particle Filters (PF) accomplish nonlinear system estimation and have received high interest from numerous engineering domains over the past decade. The main problem of PF is to degenerate over time due to the loss of particle diversity. One of the essential causes of losing particle diversity is sample impoverishment (most of particle’s weights are insignificant) which affects the result from the particle depletion in the resampling stage and unsuitable prior information of process and measurement noise. To address this problem, a new Adaptive Fuzzy Particle Filter (AFPF) is used to improve the precision and efficiency of the state estimation results. The error in AFPF state is avoided from diverging by using Fuzzy logic. This method is called tuning weighting factor (α) as output membership function of fuzzy logic and input memberships function is the mean and the covariance of residual error. When the motion model is noisier than measurement, the performance of the proposed method (AFPF) is compared with the standard method (PF) at various particles number. The performance of the proposed method can be compared by keeping the noise level acceptable and convergence of the particle will be measured by the standard deviation. The simulation experiment findings are discussed and evaluated.
    Adaptacyjny filtr cząstek rozmytych (AFPF) służy do poprawy precyzji i wydajności wyników szacowania stanu. Metoda ta nazywana jest dostrajaniem współczynnika ważenia (α), ponieważ wyjściowa funkcja przynależności logiki rozmytej, a wejściowa funkcja przynależności jest średnią i kowariancją błędu resztowego. Wydajność proponowanej metody jest porównywana przez utrzymanie dopuszczalnego poziomu hałasu, a zbieżność cząstki będzie mierzona przez odchylenie standardowe. Wyniki eksperymentu symulacyjnego są omawiane i oceniane.
    Źródło:
    Pomiary Automatyka Robotyka; 2023, 27, 4; 5--12
    1427-9126
    Pojawia się w:
    Pomiary Automatyka Robotyka
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-8 z 8

      Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies