Yazar "Çakil, Fatih" seçeneğine göre listele

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    Performance Analysis of Deterministic and Probabilistic Path Planning Algorithms in Complex Environments
    (Institute of Electrical and Electronics Engineers Inc., 2024) Aksoy, Necati; Çakil, Fatih; Tekdemir, Ibrahim Gürsu
    Path planning, in an other saying navigation, algorithms are vital in assorted applications, including robotics, autonomous vehicles, and drones. These algorithms can be broadly categorized into deterministic and probabilistic methods along with other branches. This study focuses and examines two classical deterministic path planning algorithms, A-star (A*) and Dijkstra's algorithm, alongside two prominent probabilistic path planning algorithms, Rapidly-exploring Random Trees Star (RRT*) and Probabilistic Roadmap (PRM). In the paper, with creating multi-level building interior floor maps and testing the performance of these four algorithms are performed on each level. Performance metrics included execution time, CPU usage, memory usage, and path distance. The results, presented in comparative tables, provide a comprehensive analysis of the efficiency and resource demands of each algorithm. Furthermore, this research offers valuable insights for selecting appropriate path planning algorithms in various autonomous navigation applications, guiding future implementations in robotics, autonomous electric vehicles, and drone technology. © 2024 IEEE.
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    Real-Time Smart Power Distribution in Electric Vehicle Chargers: Utilizing Rust Programming for Enhanced Efficiency
    (Institute of Electrical and Electronics Engineers Inc., 2024) Çakil, Fatih; Aksoy, Necati; Tekdemir, Ibrahim Gürsu
    The increase in the number of electric vehicles (EVs) and charging units generates a substantial power demand, necessitating the effective management of these loads. This study examines a model that employs the Priority-Based Power Distribution approach to prioritize EVs at charging stations based on real-time power demand. By leveraging the advantages of the Rust programming language, we developed and simulated a real-time model framework. This research introduces an innovative interface and design for controller systems, illustrating the critical role of Rust programming in optimizing EV charging station operations. The results underscore the efficiency and practicality of our proposed model in effectively managing dynamic power distribution. © 2024 IEEE.