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Wyszukujesz frazę "intensity detection" wg kryterium: Temat


Wyświetlanie 1-3 z 3
Tytuł:
Wide-band optical fibre system for investigation of MEMS and NEMS deflection
Autorzy:
Orłowska, K.
Świątkowski, M.
Kunicki, P.
Słupski, P.
Sankowska, A.
Gotszalk, T.
Powiązania:
https://bibliotekanauki.pl/articles/221558.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
fibre optic sensors
amplitude detection
intensity detection
MEMS/NEMS deflection measurement
Opis:
In this work the construction of experimental setup for MEMS/NEMS deflection measurements is presented. The system is based on intensity fibre optic detector for linear displacement sensing. Furthermore the electronic devices: current source for driving the light source and photodetector with wide-band preamplifier are presented.
Źródło:
Metrology and Measurement Systems; 2014, 21, 3; 381-388
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Melanoma Skin Cancer and Nevus Mole Classification using Intensity Value Estimation with Convolutional Neural Network
Autorzy:
Ashafuddula
Islam, Rafiqul
Powiązania:
https://bibliotekanauki.pl/articles/27312851.pdf
Data publikacji:
2023
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
melanoma detection
medical imaging
image classification
convolutional neuralnetwork
intensity value estimation
canny edge detection
Opis:
Melanoma skin cancer is one of the most dangerous and life-threatening cancer. Exposure to ultraviolet rays may damage the skin cell's DNA, which causes melanoma skin cancer. However, it is difficult to detect and classify melanoma and nevus mole at the immature stages. In this work, an automatic deep learning system is developed based on the intensity value estimation with a convolutional neural network model (CNN) to detect and classify melanoma and nevus mole more accurately. Since intensity levels are the most distinctive features for object or region of interest identification, the high-intensity pixel values are selected from the extracted lesion images. Incorporating those high-intensity features into the CNN improves the overall performance than the state-of-the-art methods for detecting melanoma skin cancer. To evaluate the system, we used 5-fold cross-validation. Experimental results show that a superior percentage of accuracy (92.58%), Sensitivity (93.76%), Specificity (91.56%), and Precision (90.68%) are achieved.
Źródło:
Computer Science; 2023, 24 (3); 277--296
1508-2806
2300-7036
Pojawia się w:
Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of terrestrial laser scanning measurements for wind turbine blade condition surveying
Autorzy:
Stałowska, Paulina
Suchocki, Czesław
Zagubień, Adam
Powiązania:
https://bibliotekanauki.pl/articles/27311749.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
Terrestrial Laser Scanning
TLS
intensity parameter
measurement methodology
wind turbine blades
condition surveying
defects detection
Opis:
Wind turbines are among the key equipment needed for eco-friendly generation of electricity. Maintaining wind turbines in excellent technical condition is extremely important not only for safety but also for efficient operation. Studies indicate that defects in the external structure of a turbine blade reduce energy production efficiency. This research investigated the potential of the terrestrial laser scanning technology to examine the technical conditions of wind turbine blades. The main aim of the study was to examine whether terrestrial laser scanning measurements can be valuable for wind turbine blade condition surveying. The investigation was based on the radiometric analyses of point clouds, which forms the novelty of the present study. Condition monitoring focuses on the detection of defects, such as cracks, cavities, or signs of erosion. Moreover, this study consisted of two stages. The next objective entailed the development and examination of two different measurement methods. It was then identified which method is more advantageous by analysing their effectiveness and other economic considerations.
Źródło:
Metrology and Measurement Systems; 2023, 30, 3; 403--422
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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