دانلود مقاله انگلیسی رایگان:یک سیستم کنترل چرخش برای شناسایی و نظارت خودکار بر مهرهای زمانی اقدامات خدمات زمینی در فرودگاه‌ها: یک رویکرد مبتنی بر یادگیری عمیق و بینایی کامپیوتری - 2022
بلافاصله پس از پرداخت دانلود کنید
دانلود مقاله انگلیسی بینایی ماشین رایگان
  • A turnaround control system to automatically detect and monitor the time stamps of ground service actions in airports: A deep learning and computer vision based approach A turnaround control system to automatically detect and monitor the time stamps of ground service actions in airports: A deep learning and computer vision based approach
    A turnaround control system to automatically detect and monitor the time stamps of ground service actions in airports: A deep learning and computer vision based approach

    دسته بندی:

    بینایی ماشین - Machine vision


    سال انتشار:

    2022


    عنوان انگلیسی مقاله:

    A turnaround control system to automatically detect and monitor the time stamps of ground service actions in airports: A deep learning and computer vision based approach


    ترجمه فارسی عنوان مقاله:

    یک سیستم کنترل چرخش برای شناسایی و نظارت خودکار بر مهرهای زمانی اقدامات خدمات زمینی در فرودگاه‌ها: یک رویکرد مبتنی بر یادگیری عمیق و بینایی کامپیوتری


    منبع:

    ScienceDirect- Elsevier- Engineering Applications of Artificial Intelligence, 114 (2022) 105032: doi:10:1016/j:engappai:2022:105032


    نویسنده:

    None


    چکیده انگلیسی:

    As it is widely known, several ground services are provided by the airports for the domestic and international flights of the commercial passenger aircraft. Some of these services are conducted during the period called as the turnaround which starts with the parking of the aircraft in the aprons before the flight and ends with their leave from the aprons for the flight. Turnaround processes achieved in short time periods allow using the limited airport resources including the service vehicles and staff effectively. In addition, commercial reputation losses and financial losses that may arise from delays can be reduced as well as the delay-associated turnaround penalties. In this article, a deep learning and computer vision based system that detects and allows monitoring the airport service actions is proposed. The proposed system is capable of analyzing all the primary ground services for an aircraft parking on its apron by employing the RGB video frame sequences obtained from a single fixed camera focusing on the apron. In the service detection and analysis modules of the proposed airport ground service analysis system, some deep learning-based subsystems and in-house-developed algorithms were included and utilized. For the training of the machine learning models, a study-specific dataset was used and the constructed learning models were evaluated on real-life cases. Experimental results obtained as a result of the performance evaluations show that the proposed system is quite successful with precision rates over 90% in the detection and analysis of the airport ground services. This study is one of the limited research studies in which deep learning and computer vision techniques have been applied to detect and analyze the ground service actions. The proposed system is also capable of real-time data processing/analysis and concurrent service action monitoring. Furthermore, it allows monitoring when the service is received by stamping the times of service start/end. In a consideration of industrial relevance or operational perspective, such a system may facilitate the airport ground service management noticeably and reduce the delay-associated costs caused by the timing of the ground services.
    keywords: سیستم کنترل گردش فرودگاه | نظارت بر حرکت چرخشی | شناسایی وسایل نقلیه فرودگاهی | تشخیص چرخش | خدمات فرودگاهی | Airportturnaroundcontrolsystem | Turnaroundactionmonitoring | Airportvehicledetection | Turnaroundactiondetection | Airportgroundservices


    سطح: متوسط
    تعداد صفحات فایل pdf انگلیسی: 13
    حجم فایل: 2954 کیلوبایت

    قیمت: رایگان


    توضیحات اضافی:




اگر این مقاله را پسندیدید آن را در شبکه های اجتماعی به اشتراک بگذارید (برای به اشتراک گذاری بر روی ایکن های زیر کلیک کنید)

تعداد نظرات : 0

الزامی
الزامی
الزامی
rss مقالات ترجمه شده rss مقالات انگلیسی rss کتاب های انگلیسی rss مقالات آموزشی
logo-samandehi
بازدید امروز: 416 :::::::: بازدید دیروز: 9785 :::::::: بازدید کل: 24334 :::::::: افراد آنلاین: 8