Yazar "Dalkiran, Alper" seçeneğine göre listele

Listeleniyor 1 - 2 / 2
  • Küçük Resim
    Öğe
    Green airport building certification comparison: a practical approach for airport management
    (Taylor and Francis, 2022) Kacar, Betul; Turhan, Eylem; Dalkiran, Alper; Karakoc, T. Hikmet
    In this study, six certificates have proposed and three of them used by airport terminal building to analyze, measure, and score environmental damage were compared. Certifications handled in the study are LEED (Leadership in Energy and Environmental Design), BREEAM (Building Research Establishment Environmental Assessment Method), CASBEE (Comprehensive Assessment for Building Environmental Efficiency), SBTool (Sustainable Building Tool), ACA (Airport Carbon Accreditation) and Green Airport and Green Company certificates. As a result, this research gathered the most widely used certificates in the literature. In addition, the Green Airport and Green Company certificate, the first green airport certificate in Turkiye, was added to the study for comparison, which has been offered just for airports. Hong Kong International Airport’s sustainability report was examined to determine how many points it would have received if it had applied for the most widely used LEED, BREEAM, and Green Airport and Green Company Certificates regarding the reported activities. The results have shown that the energy and atmosphere category is vital for all certification systems. Also, the study reveals that LEED gets 89.09 over 100 points, BREEAM 93.1 over 100 points, and Green Airport 75 over 100 points which display BREEAM to get a higher environmental response. This study aims to guide green building practices to decision-makers, which has become necessary in many countries. Employees and managers want to know the quality and quantity of sustainable tasks or planning at airports.
  • Küçük Resim
    Öğe
    Image processing methods decision mechanism for surveillance applications with UAVs
    (Emerald Group Holdings, 2022) Ayar, Murat; Dalkiran, Alper; Kale, Utku; Nagy, András; Karakoc, Tahir Hikmet
    Purpose – The use of unmanned aerial vehicles (UAVs) has significantly increased in the past decade and nowadays is being used for various purposes such as image processing, cargo transport, archaeology, agriculture, manufacturing, health care, surveillance and inspections. For this reason, using the appropriate image processing method for the intended use of UAVs increases the study’s success. This study aims to determine the most suitable one among the innovative methods that constitute the image processing system for a UAV to be used for surveillance purposes. Design/methodology/approach – Analytical hierarchy process has been used in the solution of the decision problem to be handled in three stages, namely, platform, architecture and method. The most suitable alternative and the effect weights of these criteria results were determined at each stage. Findings – As a result of this study, Jetson TX2 was determined as the most suitable embedded platform, ResNet is the optimum architecture and Faster R-convolutional neural networks was the best method in the image processing layer for a system that will provide surveillance with image processing method using UAV. Practical implications – In UAV designs, where multiple hardware and software choices and system combinations exist, multi-criteria decisionmaking (MCDM) approaches can be used as a system decision mechanism. Originality/value – The novelty of this work comes from the application of MCDM methods that are used as a multi-layered decision mechanism in UAV design.