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    Wyświetlanie 1-11 z 11
    Tytuł:
    Fusion of clinical data: A case study to predict the type of treatment of bone fractures
    Autorzy:
    Haq, Anam
    Wilk, Szymon
    Abelló, Alberto
    Powiązania:
    https://bibliotekanauki.pl/articles/330674.pdf
    Data publikacji:
    2019
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    clinical data
    data fusion
    combination of data
    combination of interpretation
    prediction model
    decision support
    dane kliniczne
    fuzja danych
    łączenie danych
    model predykcyjny
    wspomaganie decyzji
    Opis:
    A prominent characteristic of clinical data is their heterogeneity—such data include structured examination records and laboratory results, unstructured clinical notes, raw and tagged images, and genomic data. This heterogeneity poses a formidable challenge while constructing diagnostic and therapeutic decision models that are currently based on single modalities and are not able to use data in different formats and structures. This limitation may be addressed using data fusion methods. In this paper, we describe a case study where we aimed at developing data fusion models that resulted in various therapeutic decision models for predicting the type of treatment (surgical vs. non-surgical) for patients with bone fractures. We considered six different approaches to integrate clinical data: one fusion model based on combination of data (COD) and five models based on combination of interpretation (COI). Experimental results showed that the decision model constructed following COI fusion models is more accurate than decision models employing COD. Moreover, statistical analysis using the one-way ANOVA test revealed that there were two groups of constructed decision models, each containing the set of three different models. The results highlighted that the behavior of models within a group can be similar, although it may vary between different groups.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2019, 29, 1; 51-67
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    TLS and low-cost UAV photogrammetry as an effective combination of spatial data collection methods for creating detailed 3D surface models (DEM)
    Autorzy:
    Kovanič, Ľudovít
    Blišťan, Peter
    Topitzer, Branislav
    Peťovský, Patrik
    Boczek, Rudolf
    Powiązania:
    https://bibliotekanauki.pl/articles/24988463.pdf
    Data publikacji:
    2023
    Wydawca:
    Stowarzyszenie SILGIS
    Opis:
    The development of surveying methods and equipment has moved from conventional surveying methods to modern technologies such as Unmanned Aerial Vehicle (UAV) aerial photogrammetry or Terrestrial Laser Scanning (TLS). Our research deals with the comparison of spatial data obtained by these methods in the surface quarry Dreveník, Slovakia. Point clouds obtained by both methods were compared using CloudCompare and Leica Cyclone 3DR software. The mean absolute distance of the point clouds was 2.02 cm and the standard deviation between point clouds was 2.48 cm. Our results confirmed the compatibility and the possibility of combining point clouds.
    Źródło:
    GIS Odyssey Journal; 2023, 3, 1; 163--178
    2720-2682
    Pojawia się w:
    GIS Odyssey Journal
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Wykrywanie pojedynczych drzew na podstawie zintegrowanych danych lidarowych i fotogrametrycznych
    Detection of individual trees based on the combination of lidar data and photogrammetric data
    Autorzy:
    Marmol, U.
    Powiązania:
    https://bibliotekanauki.pl/articles/130624.pdf
    Data publikacji:
    2009
    Wydawca:
    Stowarzyszenie Geodetów Polskich
    Tematy:
    lotniczy skaning laserowy
    wykrywanie drzew
    filtry morfologiczne
    filtry krawędziowe
    integracja danych
    aerial laser scanning
    tree detection
    morphological filters
    edge filters
    data fusion
    Opis:
    Lotniczy skaning laserowy to efektywna i wiarygodna metoda pozyskiwania danych dla celów inwentaryzacji terenów leśnych. Niniejszy artykuł przedstawia metodykę wykrywania pojedynczych drzew z wykorzystaniem zintegrowanych danych lidarowych i fotogrametrycznych. Badania prowadzono na terenie uroczyska leśnego Głuchów. W celu wykrycia pojedynczych drzew wykorzystano algorytmy morfologii matematycznej. Morfologia matematyczna jest skutecznym narzędziem przetwarzania danych, umożliwiającym filtrację i detekcję różnorodnych struktur powierzchniowych. Dla poprawy analizy została włączona ortofotomapa w barwach naturalnych. Przeprowadzone badania wykazały, że integracja danych laserowych i fotogrametrycznych pozwala na uzyskanie dokładnych informacji o liczbie drzew i ich wymiarach.
    Aerial laser scanning is an effective and reliable method providing data for forestry inventory control. This paper presents a methodology of detection of individual trees using the integration of LIDAR data and those from aerial images. The study area for this investigation was Głuchów nature reserve, belonging to Warsaw University of Life Sciences. To detect individual trees, mathematical morphology was applied. Mathematical morphology is a powerful tool for filtering and detecting many different surface structures. Aerial imagery was included in order to improve the accuracy. This study has demonstrated that an integration of laser data and aerial imagery make sit possible to obtain accurate information about tree number and dimensions.
    Źródło:
    Archiwum Fotogrametrii, Kartografii i Teledetekcji; 2009, 19; 279-286
    2083-2214
    2391-9477
    Pojawia się w:
    Archiwum Fotogrametrii, Kartografii i Teledetekcji
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Proposal of a workflow for data-driven design in combination with BIM technology for more efficient office space planning
    Autorzy:
    Dudzińska, Emila
    Powiązania:
    https://bibliotekanauki.pl/articles/2116448.pdf
    Data publikacji:
    2022
    Wydawca:
    Politechnika Lubelska. Wydawnictwo Politechniki Lubelskiej
    Tematy:
    BIM
    space plan
    data-driven design
    office
    automation
    Opis:
    The development of BIM technology, its dissemination and the resulting standardisation are visible globally. This technology gives access to data created during the design process, enabling their schedule, modification and analysis. The use of data is a common point with data-driven design which, in the context of this paper, is a design approach where data is the primary source of information that affects the design. Considering the characteristics of modern office buildings and their layout, a workflow using data-driven design and BIM software was created. It makes the process more efficient in terms of the time needed for selected tasks as well as the use, transfer and management of information. The paper presents solutions that standardise the input data of the type and number of rooms meeting the tenant's needs. Based on the data from the spreadsheet, using scripts, elements representing the area and other parameters of rooms are created. After the arrangement of the spaces, the creation of walls and rooms, the data is automatically transferred to the parameters of the rooms. The furniture is automatically placed using equipment standard spreadsheet data. To ensure the verification of the project's compliance with the requirements, a script was created which graphically shows the fulfilment of the conditions.
    Źródło:
    Budownictwo i Architektura; 2022, 21, 2; 5--16
    1899-0665
    Pojawia się w:
    Budownictwo i Architektura
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Comparison and combination of interpolation methods for daily precipitation in Poland: evaluation using the correlation coefficient and correspondence ratio
    Autorzy:
    Konca-Kędzierska, Krystyna
    Wibig, Joanna
    Gruszczyńska, Marta
    Powiązania:
    https://bibliotekanauki.pl/articles/24085172.pdf
    Data publikacji:
    2023
    Wydawca:
    Instytut Meteorologii i Gospodarki Wodnej - Państwowy Instytut Badawczy
    Tematy:
    precipitation
    interpolation methods
    daily gridded data
    validation of precipitation gridded data set
    observational data
    Opis:
    Interpolation of precipitation data is a common practice for generating continuous, spatially-distributed fields that can be used for a range of applications, including climate modeling, water resource management, and agricultural planning. To obtain the reference field, daily observation data from the measurement network of the Institute of Meteorology and Water Management – National Research Institute was used. In this study, we compared and combined six different interpolation methods for daily precipitation in Poland, including bilinear and bicubic interpolation, inverse distance weighting, distance-weighted average, nearest neighbor remapping, and thin plate spline regression. Implementations of these methods available in the R programming language (e.g., from packages akima, gstat, fields) and the Climate Data Operators (CDO) were applied. The performance of each method was evaluated using multiple metrics, including the Pearson correlation coefficient (RO) and the correspondence ratio (CR), but there was no clear optimal method. As an interpolated resulting field, a field consisting of the best interpolations for individual days was proposed. The assessment of daily fields was based on the CR and RO parameters. Our results showed that the combined approach outperformed individual methods with higher accuracy and reliability and allowed for generating more accurate and reliable precipitation fields. On a group of selected stations (data quality and no missing data), the precipitation result fields were compared with the fields obtained in other projects-CPLFD-GDPT5 (Berezowski et al. 2016) and G2DC-PLC (Piniewski et al. 2021). The variance inflation factor (VIF) was bigger for the resulting fields (~5), while for the compared fields, it was below 3. However, for the mean absolute error (MAE), the relationship was reversed - the MAE was approximately half as low for the fields obtained in this work.
    Źródło:
    Meteorology Hydrology and Water Management. Research and Operational Applications; 2023, 11, 2; 1--27
    2299-3835
    2353-5652
    Pojawia się w:
    Meteorology Hydrology and Water Management. Research and Operational Applications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Reconstruction of high-dimensional data using the method of probabilistic features combination
    Autorzy:
    Jakóbczak, D. J.
    Powiązania:
    https://bibliotekanauki.pl/articles/118528.pdf
    Data publikacji:
    2016
    Wydawca:
    Politechnika Koszalińska. Wydawnictwo Uczelniane
    Tematy:
    image retrieval
    pattern recognition
    data modeling
    vector interpolation
    PFC method
    feature reconstruction
    probabilistic modeling
    pobieranie obrazu
    rozpoznawanie wzorców
    modelowanie danych
    interpolacja wektora
    metoda PFC
    funkcja rekonstrukcji
    modelowanie probabilistyczne
    Opis:
    Proposed method, called Probabilistic Features Combination (PFC), is the method of multi-dimensional data modeling, extrapolation and interpolation using the set of high-dimensional feature vectors. This method is a hybridization of numerical methods and probabilistic methods. Identification of faces or fingerprints need modeling and each model of the pattern is built by a choice of multi-dimensional probability distribution function and feature combination. PFC modeling via nodes combination and parameter γ as N-dimensional probability distribution function enables data parameterization and interpolation for feature vectors. Multidimensional data is modeled and interpolated via nodes combination and different functions as probability distribution functions for each feature treated as random variable: polynomial, sine, cosine, tangent, cotangent, logarithm, exponent, arc sin, arc cos, arc tan, arc cot or power function.
    Autorska metoda Probabilistycznej Kombinacji Cech - Probabilistic Features Combination (PFC) jest wykorzystywana do interpolacji i modelowania wielowymiarowych danych. Węzły traktowane są jako punkty charakterystyczne N-wymiarowej informacji, która ma być odtwarzana (np. obraz). Wielowymiarowe dane są interpolowane lub rekonstruowane z wykorzystaniem funkcji rozkładu prawdopodobieństwa: potęgowych, wielomianowych, wykładniczych, logarytmicznych, trygonometrycznych, cyklometrycznych.
    Źródło:
    Zeszyty Naukowe Wydziału Elektroniki i Informatyki Politechniki Koszalińskiej; 2016, 9; 37-50
    1897-7421
    Pojawia się w:
    Zeszyty Naukowe Wydziału Elektroniki i Informatyki Politechniki Koszalińskiej
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    An analysis of snow and wind loads combinations based on meteorological data
    Analiza kombinacji obciążenia śniegiem i wiatrem na podstawie danych meteorologicznych
    Autorzy:
    Żurański, J. A.
    Sobolewski, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/231080.pdf
    Data publikacji:
    2016
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    obciążenie śniegiem
    ciśnienie prędkości wiatru
    rozkład prawdopodobieństwa
    kombinacja oddziaływań
    współczynnik do kombinacji
    snow load
    wind velocity pressure
    probability distribution
    combination of actions
    combination factor
    Opis:
    The objective of this paper is to present a probabilistic method of analyzing the combinations of snow and wind loads using meteorological data and to determine their combination factors. Calculations are based on data measured at twelve Polish meteorological stations operated by the Institute for Meteorology and Water Management. Data provided are from the years 1966 - 2010. Five combinations of snow load and 10-minute mean wind velocity pressure have been considered. Gumbel probability distribution has been used to fit the empirical distributions of the data. As a result, the interdependence between wind velocity pressure and snow load on the ground for a return period of 50 years has been provided, and the values of the combination factors for snow loads and wind actions are proposed.
    W artykule przedstawiono metodę probabilistycznej analizy kombinacji obciążenia śniegiem i wiatrem na podstawie danych meteorologicznych oraz ustalenia wartości współczynników do kombinacji tych oddziaływań. W obliczeniach wykorzystano dane pomiarowe z 12 polskich stacji meteorologicznych Instytutu Meteorologii i Gospodarki Wodnej – Państwowego Instytutu Badawczego z lat 1966 – 2010. Dane pomiarowe wybrano przy założeniu, że pochodzą one z tego samego roku klimatycznego, trwającego od 1 października do 30 września. Przy takim założeniu wartość maksymalna zimowa obciążenia śniegiem gruntu jest jednocześnie wartością maksymalną roczną. Maksymalne prędkości wiatru, średnie 10.minutowe, występują w Polsce zwykle od jesieni do wiosny; służą one do wyznaczania wartości charakterystycznych. Przyjęcie rocznego przedziału czasu od 1 października do 30 września jako jednostkowego czasu obserwacji jest więc tu również uzasadnione.
    Źródło:
    Archives of Civil Engineering; 2016, 62, 4/II; 205-230
    1230-2945
    Pojawia się w:
    Archives of Civil Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Satellite data based abundance mapping of mafic and ultramafic rocks in Mettupalayam, Tamil Nadu, India
    Autorzy:
    Libeesh, Nharakkat Kalarikkal
    Arivazhagan, Sundaram
    Powiązania:
    https://bibliotekanauki.pl/articles/2055850.pdf
    Data publikacji:
    2021
    Wydawca:
    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
    Tematy:
    mafic
    ultramafic
    ASTER
    SAM
    SVM
    band combination
    PCA
    BR
    Opis:
    The mafic and ultramafic rocks of Mettupalayam belong to the southern granulite terrain of India, which is concomitant with vital economic resources. The advantage of Advanced Spaceborne Thermal Emission and Reflectance Radiometer (ASTER) data for mapping the litho units are exploited well here for differentiating the rock units with the aid of band combination (1, 3, 6), principal component analysis (5, 1, 6) and band ratioed band combination (2/3, 3/2, 1/5 and (9–8)/1, (8–6)/2, and (9–6)/3). As part of the field study, the collection of samples and ground control points were carried out and in addition to that, the generation of laboratory reflectance spectra for samples was achieved. The Spectral Angle Mapper (SAM) and Support Vector Machine (SVM) were performed using ASTER data with the aid of spectra obtained from the laboratory conditions to demarcate the abundance of mafic and ultramafic rocks of the area. The XRF method was used to retrieve the major oxides of the field-collected samples and the spectral absorption characters are validated with it. The results show a vibrant interpretation of the litho units.
    Źródło:
    Geology, Geophysics and Environment; 2021, 47, 3; 131-145
    2299-8004
    2353-0790
    Pojawia się w:
    Geology, Geophysics and Environment
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A conceptual flotation circuit for fine coal processing based on combination of the tree analysis and kinetic data
    Autorzy:
    Ranjbar, Mohammad
    Bazmandeh, Mehdi
    Powiązania:
    https://bibliotekanauki.pl/articles/24085755.pdf
    Data publikacji:
    2023
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    kinetic rate constant
    tree analysis
    conceptual design
    flotation
    coal
    Opis:
    In this research study, we focus on the tree test results as well as the first-order kinetic model to evaluate flotation test data to propose a conceptual design of a flotation circuit for a specific coal sample. Results from the tree test showed it was possible to achieve a product with ash content less than 10% with 8% as combustible recovery and indicated for this coal sample, to obtain low ash – low recovery condition. Kinetic test results showed some of the streams had the same constant, so it could combine streams with similar rates according to configuration aspects. The proposed circuit includes stages (1- rougher, 2- rougher -scavenger, 3- cleaner, 4- cleaner -scavenger, and 5-recleaner) and recleaner concentrate indicated as the final product and rougher -scavenger tailings and cleaner -scavenger tailings also indicated as a final tailing. It is worth noting the proposed circuit is a conceptual design, so the validation of data on a larger scale for the obtainment of the optimized circuit is crucial.
    Źródło:
    Physicochemical Problems of Mineral Processing; 2023, 59, 3; art. no. 167948
    1643-1049
    2084-4735
    Pojawia się w:
    Physicochemical Problems of Mineral Processing
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Combination of Navigational and VDRbased Information to Enhance Alert Management
    Autorzy:
    Baldauf, M.
    Benedict, K.
    Wilske, E.
    Grundevik, P.
    Klepsvik, J.O.
    Powiązania:
    https://bibliotekanauki.pl/articles/117183.pdf
    Data publikacji:
    2008
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    Integration of Navigation
    Alert Management
    Voyage Data Recorder (VDR)
    Navigational Bridge Equipment
    Navigational Information
    Integrated Navigation System (INS)
    Dangerous Target, ECDIS
    Opis:
    Within this paper results of ongoing investigations will be presented. Main subject of studies is laid on the present situation of alert management onboard ships navigational bridges and potential use of data recorded with mandatory ship-borne VDR equipment during normal ship operation to support the process of on board collision avoidance. The investigations and results discussed and presented in the paper are gained within trhe work in two different projects on research and technical development. The first is the European MARNIS – project on Maritime Navigation and Information Services. It is funded by the European Commission, Department for Energy and Transport. Secondly some of the results presented here are part of investigations performed under the national RD project "Maritime Safety Assistance Rostock" which is funded by the German Ministry of Education and Research Berlin.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2008, 2, 3; 245-251
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A Combination of Association Rules and Optimization Model to Solve Scheduling Problems in an Unstable Production Environment
    Autorzy:
    Del Gallo, Mateo
    Ciarapica, Filippo Emanuele
    Mazzuto, Giovanni
    Bevilacqua, Maurizio
    Powiązania:
    https://bibliotekanauki.pl/articles/27324213.pdf
    Data publikacji:
    2023
    Wydawca:
    Polska Akademia Nauk. Czasopisma i Monografie PAN
    Tematy:
    data mining
    association rules
    optimization model
    production scheduling
    job-shop scheduling
    flow shop scheduling
    Opis:
    Production problems have a significant impact on the on-time delivery of orders, resulting in deviations from planned scenarios. Therefore, it is crucial to predict interruptions during scheduling and to find optimal production sequencing solutions. This paper introduces a selflearning framework that integrates association rules and optimisation techniques to develop a scheduling algorithm capable of learning from past production experiences and anticipating future problems. Association rules identify factors that hinder the production process, while optimisation techniques use mathematical models to optimise the sequence of tasks and minimise execution time. In addition, association rules establish correlations between production parameters and success rates, allowing corrective factors for production quantity to be calculated based on confidence values and success rates. The proposed solution demonstrates robustness and flexibility, providing efficient solutions for Flow-Shop and Job-Shop scheduling problems with reduced calculation times. The article includes two Flow-Shop and Job-Shop examples where the framework is applied.
    Źródło:
    Management and Production Engineering Review; 2023, 14, 4; 56--70
    2080-8208
    2082-1344
    Pojawia się w:
    Management and Production Engineering Review
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-11 z 11

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