دانلود مقاله انگلیسی رایگان:تشخیص خودکار آسیب ساختمانهای سنگ تراشی بر اساس یادگیری عمیق سیار - 2019
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  • Automatic damage detection of historic masonry buildings based on mobile deep learning Automatic damage detection of historic masonry buildings based on mobile deep learning
    Automatic damage detection of historic masonry buildings based on mobile deep learning

    سال انتشار:

    2019


    عنوان انگلیسی مقاله:

    Automatic damage detection of historic masonry buildings based on mobile deep learning


    ترجمه فارسی عنوان مقاله:

    تشخیص خودکار آسیب ساختمانهای سنگ تراشی بر اساس یادگیری عمیق سیار


    منبع:

    Sciencedirect - Elsevier - Automation in Construction, 103 (2019) 53-66: doi:10:1016/j:autcon:2019:03:003


    نویسنده:

    Niannian Wanga,b, Xuefeng Zhaoa,b,⁎, Peng Zhaoc, Yang Zhanga,b, Zheng Zoua,b, Jinping Oua


    چکیده انگلیسی:

    Vision-based manual inspection technology for identifying and assessing superficial damage of historic buildings is time- and labor-consuming. To overcome these limits, this paper proposed a novel automatic damage detection technique using Faster R-CNN model based on ResNet101 framework to detect two categories of damage (efflorescence and spalling) for historic masonry structures. 33 different cases were studied, and the best case shown an average precision (AP) of 0.999 and 0.900 for efflorescence and spalling damage respectively, with a 0.950 mean AP. Moreover, an Internet Protocol (IP) webcam damage detection system combined with workstation was developed to detect the damage in real-time, and an automatic damage detection system based on smartphones was developed, which can realize real-time damage detection of brick masonry buildings. In addition, two on-site experiments were carried out on real masonry buildings to verify the feasibility and effectiveness of the system. Consequently, it was demonstrated that the proposed method was considerably automatic, efficient, and reliable for damage detection of historic masonry buildings and, ultimately, contributing to the management and protection of historic buildings.
    Keywords: Automatic damage detection | Historic masonry buildings | Deep learning | Mobile detection


    سطح: متوسط
    تعداد صفحات فایل pdf انگلیسی: 14
    حجم فایل: 4174 کیلوبایت

    قیمت: رایگان


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