Yazar "Engin, Orhan" seçeneğine göre listele

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    Öğe
    Analysis of Reinforcement Learning Effect in Solving Scheduling Problems
    (Alanya Alaaddin Keykubat University, 2024) Sarıcan, Bünyamin; Engin, Orhan
    Reinforcement learning is actively used to find solutions to many real life problems in today's world and is shown among the promising methods in the industry. This study investigated the effect of reinforcement learning, which is a sub-branch of machine learning, in solving job scheduling problems. In this context, first of all, situation definition, action selection and learning algorithms in reinforcement learning are explained. Then, the classification of the job scheduling problem is given. In the literature, 50 articles published in the last twenty years, in which the reinforcement learning method is used in job scheduling, are included. The effects of the studies in the literature on the solution of scheduling problems were evaluated. In the last section, the strengths and weaknesses of reinforcement learning compared to other solution methods are included and evaluations for future research are made. .
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    Öğe
    ENDÜSTRİ 4.0 SÜRECİNDE AĞIRLAMA SEKTÖRÜNE YÖNELİK UYGULAMALARIN İNCELEMESİ
    (İstanbul Aydın Üniversitesi, 2021) Aydoğmuş, Ufuk; Engin, Orhan
    Turizm sektörü, hizmet odaklı olması sebebiyle teknolojik gelişmelerden uzak gibi algılansa da, aslında söz konusu gelişmelerin tamamından büyük ölçüde etkilenmektedir. Bu gelişmelerin kökeninde tüm endüstri devrimleri bulunması sebebiyle, sektörün yeni Endüstri devriminden etkilenmemesi de mümkün gözükmemektedir. Bu çalışmada, turizm sektöründe teknolojik gelişmelerin etkileri incelenmiştir. Turizm sektöründe gerçekleştirilebilecek teknolojik uygulamalara ışık tutulabilmesi amacıyla, Endüstri 4.0’ı temel alan çeşitli anahtar kelimelerle, ilgili konaklama sektöründe son 20 yılda yapılan araştırmalar incelenmiştir. Araştırmaların, büyük veri, sanal gerçeklik, arttırılmış gerçeklik, turist yönlendirme sistemleri, nesnelerin interneti, sosyal medya ile web sayfalarının analizi ve mobil uygulamalar ile ilgili konularda olduğu belirlenmiştir. Çalışmalarda kullanılan verilerin genel olarak web sayfalarından veya turistlerin değerlendirmelerinden elde edildiği görülmüştür.
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    Öğe
    Safety Systems Analysis in Human-Small Industrial Robot Collaboration: ISO/TS 15066 Specification
    (Alanya Alaaddin Keykubat Üniversitesi, 2025) Engin, Orhan; Gökmen, Gökhan; Anlıaçık, Mustafa Yusuf; Turgut, Doğan
    During Industry 4.0, collaboration between humans and industrial robots is increasing day by day. Industrial robots carry capacity that could harm humans operate in protected areas and are subject to safety standards. The main purpose of this study is to design experiments, analyze the activities to be done regarding security and monitoring systems in case of collaboration of small industrial robots with power-force limitations with human workers and to examine the studies conducted in recent years in literature. The successful implementation of Physical Human-Robot Interaction in industrial environments depends on ensuring safe collaboration between human operators and robotic devices. This requires an environment that guarantees the safety of human operators without restricting the speed and movement of robots. In this research, the contributions of the specification, which was published by the International Organization for Standardization (ISO) in February 2016 and are an additional specification to ISO/TS (Robots and robotic devices - Collaborative robots) 15066 and EN ISO 10218 (Robots and robotic devices - Safety requirements for industrial robots), were examined. The research has determined that the use of industrial robots in human-robot collaboration applications is becoming increasingly important. It has been concluded that the disadvantages of humans and robots can be minimized by combining their advantages, human abilities (cognition, adaptation or tactile abilities) can be combined with robots' speed, power or precision, but this development requires new safety measures to protect human integrity, especially when working closely with heavy robots.