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Wyszukujesz frazę "information fusion" wg kryterium: Temat


Wyświetlanie 1-14 z 14
Tytuł:
Non-invasive Ultrasound Doppler Effect Based Method of Liquid Flow Velocity Estimation in Pipe
Autorzy:
Biernacki, Paweł
Gmyrek, Stanisław
Magiera, Władysław
Powiązania:
https://bibliotekanauki.pl/articles/31339925.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
information fusion
flow velocity
Doppler effecT
Opis:
This paper discusses the estimation of flow velocity from a multi-sensor scenario. Different estimation methods were used, which allow the effective measurement of the actual Doppler shift in a noisy environment, such as water with air bubbles, and on this basis the estimation of the flow velocity in the pipe was calculated. Information fusion is proposed for the estimates collected. The proposed approach focuses on the density of the fluid. The proposed method is capable of determining the flow velocity with high accuracy and small variations. Simulation results for plastic and steel (both galvanized and non-galvanized) pipes show the possibility of accurate fluid flow measurements without the need for sensors inside the pipe.
Źródło:
Archives of Acoustics; 2023, 48, 1; 141-148
0137-5075
Pojawia się w:
Archives of Acoustics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Potential Contour Ensembles
Autorzy:
Tomczyk, Arkadiusz
Powiązania:
https://bibliotekanauki.pl/articles/1373679.pdf
Data publikacji:
2015
Wydawca:
Uniwersytet Jagielloński. Wydawnictwo Uniwersytetu Jagiellońskiego
Tematy:
active contours
classifier ensembles
information fusion
potential contours
Opis:
In the paper a contour ensemble image segmentation concept is presented. It bases on the previously observed relationship between contours and classifiers. Because of the specificity of the active contour segmentation the method requires a special procedure to obtain ensemble members with desired properties. In this work it is achieved by early stopping of randomized optimization algorithm. The results of the method are illustrated with a practical problem of heart ventricle segmentation by means of active potential contours. Automatically found contours may be of use in a process of pulmonary embolism diagnosis.
Źródło:
Schedae Informaticae; 2015, 24; 113-121
0860-0295
2083-8476
Pojawia się w:
Schedae Informaticae
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Enhancement of Damage Detectability in Aircraft Structures Using the Fusion of NDT Results
Autorzy:
Zapłotny, M.
Katunin, A.
Dragan, K.
Powiązania:
https://bibliotekanauki.pl/articles/97990.pdf
Data publikacji:
2017
Wydawca:
Sieć Badawcza Łukasiewicz - Instytut Lotnictwa
Tematy:
aircraft composite structures
ultrasonic testing
information fusion
non-destructive testing
Opis:
Following the damage tolerance philosophy in aircraft design and operation, one of the most significant stages of maintenance is non-destructive testing of structures. It is, therefore, essential to use testing methods sensitive to particular damage types occurring in aircraft structures during operation. In this paper, the authors present a study on selection and comparison of methods of information fusion applied to testing the results of inspection of composite structures used in aircraft elements, obtained using various ultrasonic methods. The presented approach of fusion of ultrasonic scans allows for enhancement of damage detection and identification due to the presence of different parts of information about detected damage obtained from different initial information sources in a single resulting set. Such an approach can be helpful at the decision-making stage during inspection of aircraft elements and structures. Besides the methodology, the GUI-based software for performing fusion of various types of ultrasonic data is presented.
Źródło:
Fatigue of Aircraft Structures; 2017, 9; 55-74
2081-7738
2300-7591
Pojawia się w:
Fatigue of Aircraft Structures
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Songs Recognition Using Audio Information Fusion
Autorzy:
Biernacki, P.
Powiązania:
https://bibliotekanauki.pl/articles/227226.pdf
Data publikacji:
2015
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
acoustic identification
signal parametrization
information fusion
Schur coefficients
Bayes' rule
Opis:
The article presents information fusion approach for song classification with use of acoustic signal. Many acoustic features can contribute to correct identification of a song. Taking into consideration only one set of features may result in omission of relevant information. It is possible to improve the accuracy of identification process by means of the information fusion technique, in which various aspects of acoustic fingerprint are taken into consideration. Two sets of signal features were distinguished: one were based on frequency analysis (harmonic elements) and the other were based on multidimensional correlation ratios. An identification of a commercial was made with use of SVM and k-NN classifiers. The music audio signal database was used for assessing the effectiveness of the proposed solution. Results show an improved effectiveness of identification in relation to applying only one set of song features.
Źródło:
International Journal of Electronics and Telecommunications; 2015, 61, 1; 37-41
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
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:
Grid Fault Diagnosis Based on Information Entropy and Multi-source Information Fusion
Autorzy:
Zeng, Xin
Xiong, Xingzhong
Luo, Zhongqiang
Powiązania:
https://bibliotekanauki.pl/articles/1844639.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
information entropy
Bayesian network
multi-source information fusion
D-S evidence theory
fault diagnosis
Opis:
In order to solve the problem of misjudgment caused by the traditional power grid fault diagnosis methods, a new fusion diagnosis method is proposed based on the theory of multi-source information fusion. In this method, the fault degree of the power element is deduced by using the Bayesian network. Then, the time-domain singular spectrum entropy, frequency-domain power spectrum entropy and wavelet packet energy spectrum entropy of the electrical signals of each circuit after the failure are extracted, and these three characteristic quantities are taken as the fault support degree of the power components. Finally, the four fault degrees are normalized and classified as four evidence bodies in the D-S evidence theory for multi-feature fusion, which reduces the uncertainty brought by a single feature body. Simulation results show that the proposed method can obtain more reliable diagnosis results compared with the traditional methods.
Źródło:
International Journal of Electronics and Telecommunications; 2021, 67, 2; 143-148
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Information fusion method of multichannel nanosensors based on neural network
Autorzy:
Li, Chaoke
Powiązania:
https://bibliotekanauki.pl/articles/2173647.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
nanosensors
multiplexing
information fusion
data fusion
neural network
nanoczujniki
multipleksowanie
fuzja informacji
fuzja danych
sieć neuronowa
Opis:
Information fusion approaches have been commonly used in multi sensor environments for the fusion and grouping of data from various sensors which is used further to draw a meaningful interpretation of the data. Traditional information fusion methods have limitations such as high time complexity of fusion processes and poor recall rate. In this work, a new multi-channel nano sensor information fusion method based on a neural network has been designed. By analyzing the principles of information fusion methods, the back propagation based neural network (BP-NN) is devised in this work. Based on the design of the relevant algorithm flow, information is collected, processed, and normalized. Then the algorithm is trained, and output is generated to achieve the fusion of information based on multi-channel nano sensor. Moreover, an error function is utilized to reduce the fusion error. The results of the present study show that compared with the conventional methods, the proposed method has quicker fusion (integration of relevant data) and has a higher recall rate. The results indicate that this method has higher efficiency and reliability. The proposed method can be applied in many applications to integrate the data for further analysis and interpretations.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2022, 70, 2; art. no. e140258
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Estimation of vehicle sideslip angle via pseudo-multisensor information fusion method
Autorzy:
Chen, T.
Chen, L.
Cai, Y.
Xu, X.
Powiązania:
https://bibliotekanauki.pl/articles/220661.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
vehicle state estimation
sideslip angle
recursive least squares
multi-sensor information fusion
pseudo-measurements
Opis:
This paper presents a novel sideslip angle estimator based on the pseudo-multi-sensor fusion method. The kinematics-based and dynamics-based sideslip angle estimators are designed for sideslip angle estimation. Also, considering the influence of ill-conditioned matrix and model uncertainty, a novel sideslip angle estimator is proposed based on the wheel speed coupling relationship using a modified recursive least squares algorithm. In order to integrate the advantages of above three sideslip angle estimators, drawing lessons from the multisensory information fusion technology, a novel thinking of sideslip angle estimator design is presented through information fusion of pseudo-multi-sensors. Simulations and experiments were carried out, and effectiveness of the proposed estimation method was verified.
Źródło:
Metrology and Measurement Systems; 2018, 25, 3; 499-516
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Reliability and Risk Assessment of Aircraft Electric Systems
Niezawodność i ocena ryzyka układu elektrycznego samolotu
Autorzy:
He, L.
Yin, C.
Peng, W.
Yuan, R.
Huang, H.-Z.
Powiązania:
https://bibliotekanauki.pl/articles/301113.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Tematy:
interval analytic hierarchy process
interval eigenvector method
Bayesian network
information fusion
risk assessment
proces przedziałowej hierarchii analitycznej
metoda przedziałowych wektorów własnych
sieć bayesowska
fuzja informacji
ocena ryzyka
Opis:
It is rather difficult in identifying the fault location and performing risk assessment for complex electronic systems. In this paper a reliability assessment method based on the interval analytic hierarchy process (IAHP) and Bayesian network is proposed to facilitate reliability and risk assessment. After considering the major fault factors, the interval eigenvector method (IEM) is also presented to assess the reliability and comprehensive weights of subsystems. The conditional probability matrices for the factors of risk are defined using an inference rule. Then an updating model of information fusion in the context of Bayesian network is established to assess the risk of system. The proposed method is demonstrated through the risk assessment of an aircraft electric system. The result of the illustrative example shows that the proposed method can not only incorporate the evidence information, but also synthesize all the historical information. A further dynamic adjustment in the safety and risk priority of control measures is quite effective to improve the reliability while mitigating the risk of the electric system.
Lokalizacja uszkodzeń oraz ocena bezpieczeństwa i ryzyka w przypadku złożonych systemów elektronicznych jest zadaniem dość trudnym. W niniejszej pracy zaproponowano metodę prognozowania niezawodności opartą na procesie przedziałowej hierarchii analitycznej (IAHP), która ma na celu ułatwienie diagnozy uszkodzeń i kontroli ryzyka. Po rozważeniu głównych czynników wywołujących uszkodzenia, zaprezentowano metodę przedziałowych wektorów własnych oraz zdefiniowano, przy użyciu reguły wnioskowania, macierze prawdopodobieństwa dla czynników wpływających na bezpieczeństwo i ryzyko. Następnie, stworzono odnawialny model fuzji informacji w kontekście wnioskowania bayesowskiego służący do oceny stanu zagrożenia Udowodniono, iż włączenie wiedzy eksperckiej do dynamicznej symulacji ułatwia lokalizację uszkodzeń oraz pozwala uzyskać informacje dotyczące diagnozy uszkodzeń. Studium przypadku pokazuje, że dynamiczne dostosowanie priorytetowości związanej z bezpieczeństwem i ryzykiem stosowanych środków kontroli w sposób dość skuteczny zwiększa niezawodność przy jednoczesnym zminimalizowaniu ryzyka w złożonym systemie elektronicznym.
Źródło:
Eksploatacja i Niezawodność; 2014, 16, 4; 497-506
1507-2711
Pojawia się w:
Eksploatacja i Niezawodność
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fusion Kalman filtration for distributed multisensor systems
Autorzy:
Duda, Z.
Powiązania:
https://bibliotekanauki.pl/articles/229236.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
fusion Kalman filtration
multisensor system
one step delay information
Opis:
In the paper, fusion state hierarchical filtration for a multisensor system is considered. An optimal global Kalman filter is realized by a central node in the information form. The state estimate depends on local information that should be sent by local nodes. Two information structures are considered in the paper. In the first case local estimates are based on the local measurement information. It leads to distributed Kalman filter fusion that is well known in a literature. In the second case local node has additionally global information of the system with one step delay. A synthesis of local filters is presented. An advantage of this structure is discussed.
Źródło:
Archives of Control Sciences; 2014, 24, 1; 53-65
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Architecture of maritime awareness system supplied with external information
Autorzy:
Stróżyna, M.
Małyszko, J.
Węcel, K.
Filipiak, D.
Abramowicz, W.
Powiązania:
https://bibliotekanauki.pl/articles/320420.pdf
Data publikacji:
2016
Wydawca:
Polskie Forum Nawigacyjne
Tematy:
maritime awareness
AIS
data fusion
information extraction
anomaly detection
Opis:
In this paper, we discuss a software architecture, which has been developed for the needs of the System for Intelligent Maritime Monitoring (SIMMO). The system bases on the state-of-the-art information fusion and intelligence analysis techniques, which generates an enhanced Recognized Maritime Picture and thus supports situation analysis and decision-making. The SIMMO system aims to automatically fuse an up-to-date maritime data from Automatic Identification System (AIS) and open Internet sources. Based on collected data, data analysis is performed to detect suspicious vessels. Functionality of the system is realized in a number of different modules (web crawlers, data fusion, anomaly detection, visualization modules) that share the AIS and external data stored in the system’s database. The aim of this article is to demonstrate how external information can be leveraged in maritime awareness system and what software solutions are necessary. A working system is presented as a proof of concept.
Prezentowany artykuł omawia architekturę oprogramowania opracowanego na potrzeby projektu System for Intelligent Maritime Monitoring (SIMMO). System ten bazuje na najnowszych osiągnięciach w dziedzinach fuzji oraz inteligentnej analizy danych w celu generowania wzbogaconego obrazu sytuacji na morzu i wspomagania decyzji. SIMMO w sposób automatyczny łączy dane dotyczące ruchu morskiego z systemu AIS z danymi pochodzącymi z otwartych źródeł internetowych. Dzięki zebranym danym możliwa jest analiza w celu wykrycia podejrzanych zachowań na morzu. Funkcjonalność systemu stanowi wypadkową zawartych w nim modułów (ekstrakcja danych, fuzja danych, detekcja anomalii, wizualizacja) współdzielących dostęp do baz z danymi AIS oraz z zewnętrznych źródeł. Celem artykułu jest demonstracja sposobu wykorzystywania zewnętrznych informacji w systemach przeznaczonych do monitorowania ruchu morskiego, a także prezentacja działającego systemu.
Źródło:
Annual of Navigation; 2016, 23; 135-149
1640-8632
Pojawia się w:
Annual of Navigation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Hierarchical filtration for distributed linear multisensor systems
Autorzy:
Duda, Z.
Powiązania:
https://bibliotekanauki.pl/articles/229333.pdf
Data publikacji:
2012
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
multisensor system
distributed Kalman filtering
decentralized filtration
hierarchical fusion
aggregated information
Opis:
In the paper two filtration algorithms for distributed multisensor system are presented. The first one is derived for a linear dynamical system composed of local subsystems described by local state equations. Local estimates are sent to a central station to be fused and formed an optimal global estimate. The second algorithm is derived for a system observed by local nodes that determine estimates of the whole system using local information and periodically aggregated information from other nodes. Periodically local estimates are sent to the central station to be fused. Owing to this a reduced communication can be achieved.
Źródło:
Archives of Control Sciences; 2012, 22, 4; 507-518
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Light field camera all-in-focus image acquisition based on angular information
Autorzy:
Wu, Yingchun
Cheng, Xing
Liang, Jie
Wang, Anhong
Zhao, Xianling
Powiązania:
https://bibliotekanauki.pl/articles/1835771.pdf
Data publikacji:
2021
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
all-in-focus image fusion
light field camera
spatial information
angular information
macro-pixel energy difference
Opis:
Traditional light field all-in-focus image fusion algorithms are based on the digital refocusing technique. Multi-focused images converted from one single light field image are used to calculate the all-in-focus image and the light field spatial information is used to accomplish the sharpness evaluation. Analyzing the 4D light field from another perspective, an all-in-focus image fusion algorithm based on angular information is presented in this paper. In the proposed method, the 4D light field data are fused directly and a macro-pixel energy difference function based on angular information is established to accomplish the sharpness evaluation. Then the fused 4D data is guided by the dimension increased central sub-aperture image to obtain the refined 4D data. Finally, the all-in-focus image is calculated by integrating the refined 4D light field data. Experimental results show that the fused images calculated by the proposed method have higher visual quality. Quantitative evaluation results also demonstrate the performance of the proposed algorithm. With the light field angular information, the image feature-based index and human perception inspired index of the fused image are improved.
Źródło:
Optica Applicata; 2021, 51, 2; 289-304
0078-5466
1899-7015
Pojawia się w:
Optica Applicata
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Single target tracking algorithm for lightweight Siamese networks based on global attention
Autorzy:
Wang, Zhentao
He, Xiaowei
Cheng, Rao
Powiązania:
https://bibliotekanauki.pl/articles/2173664.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
target tracking
Siamese network
semantic information
training strategy
feature fusion
deep learning
śledzenie celu
sieć syjamska
informacja semantyczna
strategia szkolenia
fuzja funkcji
głęboka nauka
Opis:
Object tracking based on Siamese networks has achieved great success in recent years, but increasingly advanced trackers are also becoming cumbersome, which will severely limit deployment on resource-constrained devices. To solve the above problems, we designed a network with the same or higher tracking performance as other lightweight models based on the SiamFC lightweight tracking model. At the same time, for the problems that the SiamFC tracking network is poor in processing similar semantic information, deformation, illumination change, and scale change, we propose a global attention module and different scale training and testing strategies to solve them. To verify the effectiveness of the proposed algorithm, this paper has done comparative experiments on the ILSVRC, OTB100, VOT2018 datasets. The experimental results show that the method proposed in this paper can significantly improve the performance of the benchmark algorithm.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2022, 70, 3; art. no. e139961
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-14 z 14

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