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    Wyświetlanie 1-3 z 3
    Tytuł:
    A Novel Intelligent Neural Network Techniques of UPQC with Integrated Solar PV System for Power Quality Enhancement
    Autorzy:
    Rudraram, Ramesh
    Chinnathambi, Sasi
    Mani, Manikandan
    Powiązania:
    https://bibliotekanauki.pl/articles/27311926.pdf
    Data publikacji:
    2023
    Wydawca:
    Polska Akademia Nauk. Czasopisma i Monografie PAN
    Tematy:
    PV system
    Re-lift Luo DC-DC converter
    Cascaded ANN MPPT
    Adaptive PI controller
    CNN assisted dq theory
    Opis:
    A Novel Intelligent control of a Unified Power Quality Conditioner (UPQC) coupled with Photovoltaic (PV) system is proposed in this work. The utilization of a Re-lift Luo converter in conjunction with a Cascaded Artificial Neural Network (ANN) Maximum Power Point Tracking (MPPT) method facilitates the optimization of power extraction from PV sources. UPQC is made up of a series and shunt Active Power Filter (APF), where the former compensates source side voltage quality issues and the latter compensates the load side current quality issues. The PV along with a series and shunt APFs of the UPQC are linked to a common dc-bus and for regulating a dc-bus voltage a fuzzy tuned Adaptive PI controller is employed. Moreover, a harmonics free reference current is generated with the aid of CNN assisted dq theory in case of the shunt APF. The results obtained from MATLAB simulation.
    Źródło:
    International Journal of Electronics and Telecommunications; 2023, 69, 3; 605--613
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Skin Lesion Analysis Toward Melanoma Detection Using Deep Learning Techniques
    Autorzy:
    Sherif, Fatma
    Mohamed, Wael A.
    Mohra, A.S.
    Powiązania:
    https://bibliotekanauki.pl/articles/226719.pdf
    Data publikacji:
    2019
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    melanoma
    skin cancer
    convolutional neural network
    deep learning
    Opis:
    In the last few years, a great attention was paid to the deep learning Techniques used for image analysis because of their ability to use machine learning techniques to transform input data into high level presentation. For the sake of accurate diagnosis, the medical field has a steadily growing interest in such technology especially in the diagnosis of melanoma. These deep learning networks work through making coarse segmentation, conventional filters and pooling layers. However, this segmentation of the skin lesions results in image of lower resolution than the original skin image. In this paper, we present deep learning based approaches to solve the problems in skin lesion analysis using a dermoscopic image containing skin tumor. The proposed models are trained and evaluated on standard benchmark datasets from the International Skin Imaging Collaboration (ISIC) 2018 Challenge. The proposed method achieves an accuracy of 96.67% for the validation set. The experimental tests carried out on a clinical dataset show that the classification performance using deep learning-based features performs better than the state-of-the-art techniques.
    Źródło:
    International Journal of Electronics and Telecommunications; 2019, 65, 4; 597-602
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Experimental and Case studies of Long-distance Multi-hopping Data Transmission Techniques for Wildfire Sensors Using the LoRa-Based Mesh Sensor Network
    Autorzy:
    Khonrang, Jarun
    Somphruek, Mingkwan
    Duangnakhorn, Pairoj
    Siri, Atikhom
    Boonlom, Kamol
    Powiązania:
    https://bibliotekanauki.pl/articles/27311934.pdf
    Data publikacji:
    2023
    Wydawca:
    Polska Akademia Nauk. Czasopisma i Monografie PAN
    Tematy:
    LoRa-Based Mesh Sensor
    Wireless Internet of Things Technology (WIoT)
    Wildfire Sensor
    Opis:
    This study proposes the LoRa-Based Mesh Sensor Network without relying on LoRaWAN connection sending the communication data in the form of Star-to-Star, it can be sends the data in the form of peer-to-peer without the gateway. In the case that a longer distance is needed, the system is connected by a means of multi-hop presenting the hardware and software model through the use of low voltage power. Then, the testing is done using point to point and the received signal is measured by a gauge and compared with the model in accordance with the theoretical principle.
    Źródło:
    International Journal of Electronics and Telecommunications; 2023, 69, 3; 419--424
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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