Capital Adequacy Ratio and Bank Profitability in Turkey


Tezin Türü: Yüksek Lisans

Tezin Yürütüldüğü Kurum: Orta Doğu Teknik Üniversitesi, Sosyal Bilimler Enstitüsü, İşletme Bölümü, Türkiye

Tezin Onay Tarihi: 2018

Tezin Dili: İngilizce

Öğrenci: Yusuf Halit Saniç

Danışman: Ilkay Şendeniz Yüncü

Özet:

With the help of advancements on sensor and data transfer technologies, the usage area of Automatic License Plate Recognition (ALPR) Systems has been enlarged. Both public and private sectors implement ALPR applications for their respective needs. Public safety ALPR applications aim to monitor and control traffic data at both individual and collective levels. For this reason, to build an efficient sensor network number and location of ALPR systems should be determined optimally. This study focuses on determining optimal number and location of ALPR systems in order to maximize network coverage that consists of vehicle coverage and road coverage. The study provides numerical experiments designed for two cities in Turkey. Centralized and decentralized decision-making processes are compared and it is suggested that determining number and location of ALPR systems in a centralized manner would provide better network coverage. The relative importance of vehicle and road coverages that constitutes the network coverage is considered and optimal solutions for number and location of ALPR systems under various configurations are presented.