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    Wyświetlanie 1-8 z 8
    Tytuł:
    Image fusion for travel time tomography inversion
    Autorzy:
    Yin, X.
    Liu, L.
    Zhao, X.
    Ashraf, M. A.
    Powiązania:
    https://bibliotekanauki.pl/articles/259784.pdf
    Data publikacji:
    2015
    Wydawca:
    Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
    Tematy:
    tomography
    inversion algorithm
    wavelet transform
    image fusion
    Opis:
    The travel time tomography technology had achieved wide application, the hinge of tomography was inversion algorithm, the ray path tracing technology had a great impact on the inversion results. In order to improve the SNR of inversion image, comprehensive utilization of inversion results with different ray tracing can be used. We presented an imaging fusion method based on improved Wilkinson iteration method. Firstly, the shortest path method and the linear travel time interpolation were used for forward calculation; then combined the improved Wilkinson iteration method with super relaxation precondition method to reduce the condition number of matrix and accelerate iterative speed, the precise integration method was used to solve the inverse matrix more precisely in tomography inversion process; finally, use wavelet transform for image fusion, obtain the final image. Therefore, the ill- conditioned linear equations were changed into iterative normal system through two times of treatment and using images with different forward algorithms for image fusion, it reduced the influence effect of measurement error on imaging. Simulation results showed that, this method can eliminate the artifacts in images effectively, it had extensive practical significance.
    Źródło:
    Polish Maritime Research; 2015, S 1; 149-156
    1233-2585
    Pojawia się w:
    Polish Maritime Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Multi-level health degree analysis of vehicle transmission system based on PSO-BP neural network data fusion
    Autorzy:
    Wu, Jianpeng
    Cui, Jiahao
    Shu, Yuechao
    Wang, Yuxin
    Chen, Ruihan
    Wang, Liyong
    Powiązania:
    https://bibliotekanauki.pl/articles/24200805.pdf
    Data publikacji:
    2023
    Wydawca:
    Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
    Tematy:
    vehicle transmission system
    data fusion
    PSO-BP algorithm
    health degree
    Opis:
    In order to realize the evaluation of the vehicle transmission system health degree, a prediction model by multi-level data fusion method is established in this paper. The prediction model applies PSO(Particle Swarm Optimization)-BP(Back Propagation) neural network algorithm, calculates the whole machine health degree and each module respective weights from the test data. On this basis, it analyzes the error between the model calculated health degree and theoretical health degree. Then the research verifies the validity and prediction model accuracy. The health degree which is obtained by the single module feature parameters fusion, and the vehicle transmission system health degree is investigated, which is less effective compared to the three-level fusions. After that, by analyzing the vehicle transmission system multi-parameter feature weights, it is found that the mechanical module accounted for the largest damage rate, and the three modules influenced the vehicle transmission system health degree in the order of mechanical module, hydraulic module, and electric control module. The study has played a guiding role in the health management of complex equipment.
    Źródło:
    Eksploatacja i Niezawodność; 2023, 25, 1; art. no. 4
    1507-2711
    Pojawia się w:
    Eksploatacja i Niezawodność
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Dynamic location models of mobile sensors for travel time estimation on a freeway
    Autorzy:
    Sun, Weiwei
    Shen, Liang
    Shao, Hu
    Liu, Pengjie
    Powiązania:
    https://bibliotekanauki.pl/articles/1838205.pdf
    Data publikacji:
    2021
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    traffic mobile sensor
    dynamic location model
    travel time estimation
    simulated annealing algorithm
    data fusion
    czujnik ruchu
    model lokalizacji
    szacowanie czasu podrózy
    fuzja danych
    Opis:
    Travel time estimation for freeways has attracted much attention from researchers and traffic management departments. Because of various uncertain factors, travel time on a freeway is stochastic. To obtain travel time estimates for a freeway accurately, this paper proposes two traffic sensor location models that consider minimizing the error of travel time estimation and maximizing the collected traffic flow. First, a dynamic optimal location model of the mobile sensor is proposed under the assumption that there are no traffic sensors on a freeway. Next, a dynamic optimal combinatorial model of adding mobile sensors taking account of fixed sensors on a freeway is presented. It should be pointed out that the technology of data fusion will be adopted to tackle the collected data from multiple sensors in the second optimization model. Then, a simulated annealing algorithm is established to find the solutions of the proposed two optimization models. Numerical examples demonstrate that dynamic optimization of mobile sensor locations for the estimation of travel times on a freeway is more accurate than the conventional location model.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2021, 31, 2; 271--287
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Complexity study of guaranteed state estimation for real time robot localization
    Autorzy:
    Seignez, E.
    Lambert, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/384760.pdf
    Data publikacji:
    2011
    Wydawca:
    Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
    Tematy:
    autonomous robot
    data fusion
    localization
    bounded error state estimation
    algorithm
    Opis:
    The estimation of a vehicle configuration in its environment is mostly solved by Bayesian methods. Interval analysis allows an alternative approach: bounded-error localization. Such an approach provides a bounded set of configuration that is guaranteed to include the actual vehicle configuration. This paper describes the boundederror localization algorithms and presents their complexity study. A real time implementation of the studied algorithms is validated through the use of an experimental platform.
    Źródło:
    Journal of Automation Mobile Robotics and Intelligent Systems; 2011, 5, 2; 12-27
    1897-8649
    2080-2145
    Pojawia się w:
    Journal of Automation Mobile Robotics and Intelligent Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Szybki algorytm dopasowania obrazów dla potrzeb fuzji w czasie rzeczywistym
    Fast alignment algorithm for real time image fusion
    Autorzy:
    Kondej, M.
    Putz, B.
    Bartyś, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/274961.pdf
    Data publikacji:
    2010
    Wydawca:
    Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
    Tematy:
    dopasowanie obrazów
    fuzja obrazów
    algorytm
    image alignment
    image fusion
    edge algorithm
    Opis:
    W artykule zaproponowano prosty, szybki i odporny algorytm dopasowania obrazów, który został zaprojektowany do fuzji obrazów realizowanej w czasie rzeczywistym. Algorytm zaprezentowano na tle znanych rozwiązań, dla których może stanowić interesującą alternatywę. Przyjęto, że dopasowanie dotyczyć będzie zwłaszcza obrazów pozyskiwanych synchronicznie przez kamery TV i IR. Omówiono wyniki testowania kilku wariantów prezentowanego algorytmu i przykłady zastosowań, w tym także w odniesieniu do robotyki.
    Fast and simple as well as robust image alignment algorithm developed for real time image fusion has been described in this paper. Algorithm has to be considered as an interesting alternative solution compared to the known more complex solutions. It has been assumed, that image alignment will be suitable particularly for the synchronously acquired images by the TV and IR cameras. The results of the tests of several variants of presented algorithm has been given. Finally, the examples of applications particularly in the area of robotics has been shown.
    Źródło:
    Pomiary Automatyka Robotyka; 2010, 14, 11; 134-138
    1427-9126
    Pojawia się w:
    Pomiary Automatyka Robotyka
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A fault location strategy based on information fusion and CODAS algorithm under epistemic uncertainty
    Autorzy:
    Duan, Rongxing
    Chen, Li
    He, Jiejun
    Huang, Shujuan
    Powiązania:
    https://bibliotekanauki.pl/articles/2172032.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
    Tematy:
    fault tree
    expert evaluation
    evidence network
    information fusion
    CODAS algorithm
    Opis:
    Application of new technology in modern systems not only substantially improves the performance, but also presents a severe challenge to fault location of these systems. This paper presents a new fault location strategy for maintenance personnel to recover them based on information fusion and improved CODAS algorithm. Firstly, a fault tree is adopted to develop the failure model of a complex system, and failure probability of components is determined by expert evaluations to handle the uncertainty problem. Moreover, a fault tree is converted into an evidence network to obtain importance degrees, which are used to construct a diagnostic decision table together with the risk priority number. Additionally, these results are updated to optimize the maintenance process using sensor information. A novel dynamic location strategy is designed based on interval CODAS algorithm and optimal fault location strategy can be obtained. Finally, a real system is analyzed to demonstrate the feasibility of the proposed maintenance strategy.
    Źródło:
    Eksploatacja i Niezawodność; 2022, 24, 3; 478--488
    1507-2711
    Pojawia się w:
    Eksploatacja i Niezawodność
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Traffic Video and VANET data fusion algorithm
    Autorzy:
    Bernaś, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/393489.pdf
    Data publikacji:
    2012
    Wydawca:
    Polskie Stowarzyszenie Telematyki Transportu
    Tematy:
    Vanet
    detekcja
    algorytm fuzji
    detection
    fusion algorithm
    Opis:
    Modern Intelligent Transport Systems incorporate the traffic control strategies that are based not only on long term traffic analysis and forecasts, but also on the real time events detection like accidents or high congestion. The flexibility of these systems depends on accurate and precise data set describing the current state of road network. To estimate it, the data from various sources like: video surveillance, induction loops or vehicles itself (Vehicle to Infrastructure communication -V2I) is gathered. Excluding detection errors, the video surveillance data is a reliable source of general information about the traffic flow. On the other hand, the vehicle communication can provide less reliable, but more detailed information about a particular vehicle like: its engine state or planned manoeuvre. Unreliable or forged C2I information can be used to disturb traffic or to gain a higher priority on the road. The paper reviews the fusion algorithms that are used to merge data from video tracking algorithms and vehicular networks. Based on the survey, a weighted fusion algorithm is proposed that estimates the acquired data reliability. The algorithm uses the video surveillance data as a filter for C2I communication. Finally, applications for microscopic traffic models and safety issues are taken into consideration.
    Źródło:
    Archives of Transport System Telematics; 2012, 5, 2; 3-8
    1899-8208
    Pojawia się w:
    Archives of Transport System Telematics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Methods of position estimation in parametric navigation
    Autorzy:
    Banachowicz, A.
    Wolski, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/197340.pdf
    Data publikacji:
    2017
    Wydawca:
    Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
    Tematy:
    navigational data fusion
    least squares estimation
    Kalman filtering
    estimation
    navigation
    algorithm of integrated navigation
    fuzja danych nawigacyjnych
    estymacja najmniejszych kwadratów
    filtrowanie Kalmana
    oszacowanie
    nawigacja
    algorytm zintegrowanej nawigacji
    Opis:
    The estimation of position coordinates of a navigating ship is one of the navigational subprocesses. The methods used in this process are either deterministic (the case of a minimum number of navigational parameters measurements) or probabilistic (in cases where we have access to information redundancy). Naturally, due to the accuracy and reliability of the calculated coordinates, probabilistic methods should be primarily used. The article presents the use of the method of least squares and Kalman filtering in algorithms in integrated navigation for the estimation of position coordinates, taking into account ship movement parameters.
    Źródło:
    Zeszyty Naukowe. Transport / Politechnika Śląska; 2017, 95; 19-25
    0209-3324
    2450-1549
    Pojawia się w:
    Zeszyty Naukowe. Transport / Politechnika Śląska
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-8 z 8

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