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 "pre-processing" wg kryterium: Temat

  Lista filtrów
Wyrównaj
    Wyświetlanie 1-9 z 9
    Tytuł:
    Wykorzystanie systemów wizyjnych do przeprowadzenia analizy modalnej konstrukcji
    Vision systems utilization to modal analysis construction realization
    Autorzy:
    Kohut, P.
    Kurowski, P.
    Powiązania:
    https://bibliotekanauki.pl/articles/328742.pdf
    Data publikacji:
    2004
    Wydawca:
    Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
    Tematy:
    analiza modalna
    przetwarzanie obrazów
    analiza obrazu
    pomiary drgań
    modal analysis
    image pre-processing
    image analysis
    vibrations measurements
    Opis:
    W artykule zaprezentowano sposób zastosowania systemu wizyjnego do przeprowadzenia eksperymentu modalnego. Proponowane rozwiązanie polega na rejestracji drgań za pomocą systemu do akwizycji i analizy obrazów. W związku z tym, w oparciu o klasyczne metody przetwarzania obrazu, opracowano algorytmy oraz procedury do analizy obrazów. Dokonano następnie implementacji i testowania tychże algorytmów w środowisku programowym Matlab, w którym, za pomocą uzyskanych danych wizyjnych oraz wykonanego w KRiDM AGH oprogramowania - VIOMA - przeprowadzono analizę modalną. Dane wizyjne konieczne do uzyskania powyższych celów otrzymano z kamery cyfrowej X-Stream w postaci plików 'avi'. W pracy przedstawiono również porównanie wyników uzyskanych za dla różnych rozdzielczości przestrzennych oraz przeprowadzono dyskusję otrzymanych rezultatów.
    In the paper possibilities of application of vision techniques for modal experiment are presented. The main idea of proposed solution relies on vibration registering by means of a vision system for image acquisition and analysis. For this purpose procedures and algorithms for image acquisition, pre-processing and image analysis were developed basis of classical image processing methods. Developed algorithms were implemented and tested in programming environment MATLAB in which by means of developed in KRiDM AGH software - VIOMA - modal experiment was carried out. Necessary vision data were received from high-speed digital camera "X-Stream Vision" in the form of "avi" files which were input data of algorithm for modal analysis procedure. Comparison of obtained results from the developed vision system for different spatial resolutions were performed and discussed.
    Źródło:
    Diagnostyka; 2004, 30, T. 1; 265-270
    1641-6414
    2449-5220
    Pojawia się w:
    Diagnostyka
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Efficiency of linear and non-linear classifiers for gas identification from electrocatalytic gas sensor
    Autorzy:
    Kalinowski, P.
    Woźniak, Ł.
    Strzelczyk, A.
    Jasinski, P.
    Jasinski, G.
    Powiązania:
    https://bibliotekanauki.pl/articles/221796.pdf
    Data publikacji:
    2013
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    electrocatalytic sensor
    cyclic voltammetry
    data pre-processing
    support vector machine (SVM)
    Partial Least Squares Discriminant Analysis
    Opis:
    Electrocatalytic gas sensors belong to the family of electrochemical solid state sensors. Their responses are acquired in the form of I-V plots as a result of application of cyclic voltammetry technique. In order to obtain information about the type of measured gas the multivariate data analysis and pattern classification techniques can be employed. However, there is a lack of information in literature about application of such techniques in case of standalone chemical sensors which are able to recognize more than one volatile compound. In this article we present the results of application of these techniques to the determination from a single electrocatalytic gas sensor of single concentrations of nitrogen dioxide, ammonia, sulfur dioxide and hydrogen sulfide. Two types of classifiers were evaluated, i.e. linear Partial Least Squares Discriminant Analysis (PLS-DA) and nonlinear Support Vector Machine (SVM). The efficiency of using PLS-DA and SVM methods are shown on both the raw voltammetric sensor responses and pre-processed responses using normalization and auto-scaling.
    Źródło:
    Metrology and Measurement Systems; 2013, 20, 3; 501-512
    0860-8229
    Pojawia się w:
    Metrology and Measurement Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Data preprocessing and its influence on the adsorption capacity of calculated shale. Comparison of selected methods: A case study
    Autorzy:
    Waszczuk, Patrycja
    Powiązania:
    https://bibliotekanauki.pl/articles/127611.pdf
    Data publikacji:
    2017
    Wydawca:
    Polskie Towarzystwo Mineralogiczne
    Tematy:
    data pre-processing
    sorption capacity
    Opis:
    This article discusses the impact of choosing a data preprocessing method for the calculated gas density necessary to determine the sorption capacity of a material. The sample of gas-bearing shale was subjected to a volumetric sorption test. The obtained data, pressure and temperature were preprocessed by three methods: moving average, polynomial regression and locally weighted scatterplot smoothing. The results include the excess and absolute sorption calculated from data that were filtered, and data without pre-treatment and Langmuir isotherms’ coefficients for every case.
    Źródło:
    Mineralogia; 2017, 48, 1/4; 157-165
    1899-8291
    1899-8526
    Pojawia się w:
    Mineralogia
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Ganging of Resources via Fuzzy Manhattan Distance Similarity with Priority Tasks Scheduling in Cloud Computing
    Autorzy:
    Priya, S. S.
    Mehata, K. M.
    Banu, W. A.
    Powiązania:
    https://bibliotekanauki.pl/articles/308097.pdf
    Data publikacji:
    2018
    Wydawca:
    Instytut Łączności - Państwowy Instytut Badawczy
    Tematy:
    clustering
    pre-processing
    quality of service
    resource allocation
    Opis:
    This paper proposes a fuzzy Manhattan distance-based similarity for gang formation of resources (FMDSGR) method with priority task scheduling in cloud computing. The proposed work decides which processor is to execute the current task in order to achieve efficient resource utilization and effective task scheduling. FMDSGR groups the resources into gangs which rely upon the similarity of resource characteristics in order to use the resources effectively. Then, the tasks are scheduled based on the priority in the gang of processors using gang-based priority scheduling (GPS). This reduces mainly the cost of deciding which processor is to execute the current task. Performance has been evaluated in terms of makespan, scheduling length ratio, speedup, efficiency and load balancing. CloudSim simulator is the toolkit used for simulation and for demonstrating experimental results in cloud computing environments.
    Źródło:
    Journal of Telecommunications and Information Technology; 2018, 1; 32-41
    1509-4553
    1899-8852
    Pojawia się w:
    Journal of Telecommunications and Information Technology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Analysis of data pre-processing methods for sentiment analysis of reviews
    Autorzy:
    Parlar, Tuba
    Ozel, Selma
    Song, Fei
    Powiązania:
    https://bibliotekanauki.pl/articles/305513.pdf
    Data publikacji:
    2019
    Wydawca:
    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
    Tematy:
    data pre-processing
    feature selection
    sentiment analysis
    text classification
    Opis:
    The goals of this study are to analyze the effects of data pre-processing methods for sentiment analysis and determine which of these pre-processing methods (and their combinations) are effective for English as well as for an agglutinative language like Turkish. We also try to answer the research question of whether there are any differences between agglutinative and non-agglutinative languages in terms of pre-processing methods for sentiment analysis. We find that the performance results for the English reviews are generally higher than those for the Turkish reviews due to the differences between the two languages in terms of vocabularies, writing styles, and agglutinative property of the Turkish language.
    Źródło:
    Computer Science; 2019, 20 (1); 123-141
    1508-2806
    2300-7036
    Pojawia się w:
    Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Application of artificial neural networks in preliminary selection of pigmented lesions for further melanoma diagnosis
    Autorzy:
    Kisielińska-Ptasznik, Anna
    Figielska, Ewa
    Powiązania:
    https://bibliotekanauki.pl/articles/1397478.pdf
    Data publikacji:
    2020
    Wydawca:
    Warszawska Wyższa Szkoła Informatyki
    Tematy:
    artificial neural network
    data pre-processing
    melanoma diagnosis
    Opis:
    The paper deals with the problem of preliminary selection of pigmented lesionsfor further melanoma diagnosis. Several algorithms for input data pre-processingare proposed and artificial neural network for the examination of pigmented lesions is used. Computational results are reported.
    Źródło:
    Zeszyty Naukowe Warszawskiej Wyższej Szkoły Informatyki; 2020, 14, 22; 23-38
    1896-396X
    2082-8349
    Pojawia się w:
    Zeszyty Naukowe Warszawskiej Wyższej Szkoły Informatyki
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Forest Community Mapping Using Hyperspectral (CHRIS/PROBA) and Sentinel-2 Multispectral Images
    Autorzy:
    Głowienka, Ewa
    Zembol, Nicole
    Powiązania:
    https://bibliotekanauki.pl/articles/2174650.pdf
    Data publikacji:
    2022
    Wydawca:
    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
    Tematy:
    hyperspectral
    pre-processing
    multispectral
    Sentinel-2
    CHRIS/PROBA
    machine learning
    Opis:
    The possibility to use hyperspectral images (CHRIS/PROBA) and multispectral images (Sentinel-2) in the classification of forest communities is assessed in this article. The pre-processing of CHRIS/PROBA image included: noise reduction, radiometric correction, atmospheric correction, geometric correction. Due to MNF transformation the number of the hyperspectral image channels was reduced (to 10 channels) and smiling errors were removed. Sentinel-2 image (level 2A) did not require pre-processing. Three tree genera occurring in the study area were selected for the classification: pine (Pinus), alder (Alnus) and birch (Betula). Image classification was carried out with three methods: SAM (Spectral Angle Mapper ), MTMF (Mixture Tuned Matched Filtering), SVM (Support Vector Machine). For the CHRIS/PROBA image, the algorithm SVM turned out to be the best. Its overall accuracy (OA) was 72%. The poorest result (OA = 52%) was for the MTMF classifier. In the classification of Sentinel-2 multispectral image the best result was for the MTMF method: OA = 82%, kappa coefficient 0.7. For other methods, the overall accuracy exceeded 65%. Among the classified genera, the highest producer’s accuracy was obtained for pine (PA = 96%), and the broad-leaf genera: alder and birch had PA ranging from 42% to 85%.
    Źródło:
    Geomatics and Environmental Engineering; 2022, 16, 4; 103--117
    1898-1135
    Pojawia się w:
    Geomatics and Environmental Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Vein Biometric Recognition Methods and Systems: A Review
    Autorzy:
    Al-Khafaji, Ruaa S.S.
    Al-Tamimi, Mohammed S.H.
    Powiązania:
    https://bibliotekanauki.pl/articles/2022496.pdf
    Data publikacji:
    2022
    Wydawca:
    Stowarzyszenie Inżynierów i Techników Mechaników Polskich
    Tematy:
    biometric technology
    finger vein recognition
    pre-processing
    feature extraction
    matching
    Opis:
    The Finger-vein recognition (FVR) method has received increasing attention in recent years. It is a new method of personal identification and biometric technology that identifies individuals using unique finger-vein patterns, which is the first reliable and suitable area to be recognized. It was discovered for the first time with a home imaging system; it is characterized by high accuracy and high processing speed. Also, the presence of patterns of veins inside one’s body makes it almost difficult to repeat and difficult to steal. Based on the increased focus on protecting privacy, that also produces vein biometrics safer alternatives without forgery, damage, or alteration over time. Fingerprint recognition is beneficial because it includes the use of low-cost, small devices which are difficult to counterfeit. This paper discusses preceding finger-vein recognition approaches systems with the methodologies taken from other researchers’ work about image acquisition, pretreatment, vein extraction, and matching. It is reviewing the latest algorithms; continues to critically review the strengths and weaknesses of these methods, and it states the modern results following a key comparative analysis of methods.
    Źródło:
    Advances in Science and Technology. Research Journal; 2022, 16, 1; 36-46
    2299-8624
    Pojawia się w:
    Advances in Science and Technology. Research Journal
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    ChatGPT: Unlocking the future of NLP in finance
    Autorzy:
    Zaremba, Adam
    Demir, Ender
    Powiązania:
    https://bibliotekanauki.pl/articles/23943459.pdf
    Data publikacji:
    2023
    Wydawca:
    Fundacja Naukowa Instytut Współczesnych Finansów
    Tematy:
    Natural Language Processing (NLP)
    ChatGPT
    GPT (Generative Pre-training Transformer)
    finance
    financial applications
    ethical considerations
    regulatory considerations
    future research directions
    Opis:
    This paper reviews the current state of ChatGPT technology in finance and its potential to improve existing NLP-based financial applications. We discuss the ethical and regulatory considerations, as well as potential future research directions in the field. The literature suggests that ChatGPT has the potential to improve NLP-based financial applications, but also raises ethical and regulatory concerns that need to be addressed. The paper highlights the need for research in robustness, interpretability, and ethical considerations to ensure responsible use of ChatGPT technology in finance.
    Źródło:
    Modern Finance; 2023, 1, 1; 93-98
    2956-7742
    Pojawia się w:
    Modern Finance
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-9 z 9

      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