Embedded Systems and Application Areas in Engineering
Abstract
Embedded systems are one of the sub-branches of electrical and electronics engineering, but are also used in many service areas today. Embedded systems, which are almost the common point of Electronics and software fields, are preferred primarily by many people in these fields. For the programming of embedded systems, the support of different electronic cards and computers is needed. With the development of both hardware components and software programming languages, embedded systems have begun to be used in almost all engineering branches. In this research study, a comprehensive examination has been made those deals with the reasons why embedded systems are preferred in many engineering branches such as robotic systems, artificial intelligence and agricultural fields.
Keywords
Embedded systems, Robotics and artificial intelligence applications, Engineering and Embedded Systems
References
- Abanay, A., Mamoudi, M., Ensari, M. (2022). A calibration method of 2D LIDAR-Visual sensors embedded on an agricultural robot. Optik, 249, 168254.
- Adan, O.C.G. (1994). On the fungal defacement of interior finishes, PhD thesis, Eindhoven University of Technology, Eindhoven, The Netherlands.
- Aydın, İ., Salur, M.A., Karaköse, M. (2019). Gömülü Derin Öğrenme ile Tehdit İçeren Nesnelerin Gerçek Zamanda Tespiti, DÜMF Mühendislik Dergisi 10(2,) pp. 497-509.
- Chiba, S., Yonamine, T.,*Sasaki, M., Sugawara, K.anomata, A. Design of a Blended e-Learning Curriculum for Embedded System Engineering, IFAC Proceedings Volumes, 42, Issue 24, pp. 152-157.
- Çalık, R. (2018). Gömülü Sİstem Üzerİnde evrişimsel sinir ağları ile Nesne Sınıflandırılması, Yüksek Lisans Tezi, TOBB Ekonomi ve Teknoloji Üniversitesi, Ankara, Türkiye. Çavuşlu, M.A., Karakaya, F., Altun H. (2008). ÇKA ipi Yapay Sinir Ağı Kullanılarak Plaka Yeri Tespitinin FPGA’da Donanımsal Gerçeklemesi, Akıllı Sistemlerde Yenilikler ve Uygulamaları Sempozyumu (ASYU).
- Çotuk, H. (2008). Pıc Mikrodenetleyiciler İçin Gerçek Zamanlı İşletim Sistemi, Yüksek Lisans Tezi, TOBB Ekonomi ve Teknoloji Üniversitesi, Ankara, Türkiye.
- Diallo, A.D., Gobee, S., Durairajah, V. (2015). Autonomous Tour Guide Robot using Embedded System Control, Procedia Computer Science, 76, pp. 126-133.
- Efe, A., Sarıkaya M., Altınbaş, M. (2019). Internet Bağlantılı Gömülü Sistemlerde Güvenlik Açıkları. Erzincan Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 12(3), 1468-1484.
- Kaya, A. (2008). Gömülü sistemler ve uygulama alanları. Çanakkale Onsekiz Mart Üniversitesi, Akademik Bilişim, Çanakkale.
- Mahendran, N., Vincent, D.R. (2021). A deep learning framework with an embedded-based feature selection approach for the early detection of the Alzheimer's disease, Computers in Biology and Medicine,105056.