Raif Bayir
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Raif Bayir has a total of 23 co-authors. Here are the top co-authors by number of shared publications:
- Ahmet Albayrak
Duzce Universitesi
6 shared publications - Fecir Duran
Gazi Üniversitesi, Teknoloji Fakültesi
3 shared publications Ahmet Albayrak
Department of Computer Engineering, Faculty of Technology, Düzce University, Düzce, Türkiye
2 shared publications- Osamah N. Neamah
Mechatronics Department, Graduate Institute, Faculty of Engineering and natural sciences, Karabük University, Karabük, Turkey
2 shared publications - Abdulhamit Sevgi
Ostim Technical University
1 shared publication Ali Uysal
Karabuk University
1 shared publication
Latest Publications
- 1 December 2025
- Published by Springer Nature in International Journal of Fuzzy Systems
- Vol. 28 (7) , 1-30
Towards Safer and Greener Roads: A Hybrid Eco-safe Driving Assessment Using Fuzzy Logic and Machine Learning Algorithms
- 1 December 2025
- Published by Springer Nature in International Journal of Fuzzy Systems
- Vol. 28 (7) , 1-30
Towards Safer and Greener Roads: A Hybrid Eco-safe Driving Assessment Using Fuzzy Logic and Machine Learning Algorithms
- 30 September 2025
- Published by Bitlis Eren Universitesi Fen Bilimleri Dergisi in Bitlis Eren Üniversitesi Fen Bilimleri Dergisi
- Vol. 14 (3) , 1636-1654
Comparative Performance Analysis of Permanent Magnet and Claw-Pole Alternators in Internal Combustion Engines
In this study, a comprehensive experimental comparison of Permanent Magnet Alternators (PMA) and Claw-Pole Alternators (CPA) used in internal combustion engines (ICE) was conducted under three different operating conditions: no-load, loaded, and charging scenarios. Key performance parameters including voltage, current, engine speed, temperature variation, and fuel consumption were measured and analyzed in detail using a custom-built test setup and data acquisition system. The results show that while PMAs provide higher efficiency and power output under load, they are prone to higher operating temperatures and efficiency losses under no-load and charging conditions compared to CPAs. CPAs, on the other hand, demonstrated stable performance and higher current generation capacity, which is crucial for meeting increasing electrical demands in modern vehicles. The findings underline the importance of predicting alternator performance for optimizing fuel economy, enhancing electrical system reliability, and supporting the development of next-generation automotive alternators. Design recommendations are also presented to improve the efficiency and thermal management of PMAs in practical applications.
- 30 September 2025
- Published by Bitlis Eren Universitesi Fen Bilimleri Dergisi in Bitlis Eren Üniversitesi Fen Bilimleri Dergisi
- Vol. 14 (3) , 1636-1654
Comparative Performance Analysis of Permanent Magnet and Claw-Pole Alternators in Internal Combustion Engines
In this study, a comprehensive experimental comparison of Permanent Magnet Alternators (PMA) and Claw-Pole Alternators (CPA) used in internal combustion engines (ICE) was conducted under three different operating conditions: no-load, loaded, and charging scenarios. Key performance parameters including voltage, current, engine speed, temperature variation, and fuel consumption were measured and analyzed in detail using a custom-built test setup and data acquisition system. The results show that while PMAs provide higher efficiency and power output under load, they are prone to higher operating temperatures and efficiency losses under no-load and charging conditions compared to CPAs. CPAs, on the other hand, demonstrated stable performance and higher current generation capacity, which is crucial for meeting increasing electrical demands in modern vehicles. The findings underline the importance of predicting alternator performance for optimizing fuel economy, enhancing electrical system reliability, and supporting the development of next-generation automotive alternators. Design recommendations are also presented to improve the efficiency and thermal management of PMAs in practical applications.
- 13 February 2025
- Published by ELS Publishing Co. Limited in Artificial Intelligence and Autonomous Systems
- Vol. 2 (1) , 1-2
Enhanced safety and efficiency in traction elevators: A real-time monitoring system with anomaly detection
This study presents the design and implementation of a real-time monitoring system for traction elevators, leveraging piezoelectric sensors for vibration measurement and speed sensors for velocity dat...
- 13 February 2025
- Published by ELS Publishing Co. Limited in Artificial Intelligence and Autonomous Systems
- Vol. 2 (1) , 1-2
Enhanced safety and efficiency in traction elevators: A real-time monitoring system with anomaly detection
This study presents the design and implementation of a real-time monitoring system for traction elevators, leveraging piezoelectric sensors for vibration measurement and speed sensors for velocity dat...
- 22 November 2024
- Published by Springer Nature
- p. 858-868
Leveraging Adaptive Equalization for Enhanced Egg Crack Detection in Classification and Object Detection
- 22 November 2024
- Published by Springer Nature
- p. 858-868
Leveraging Adaptive Equalization for Enhanced Egg Crack Detection in Classification and Object Detection
- Open Access
- 30 September 2020
- Published by Korean Institute of Intelligent Systems in International Journal of Fuzzy Logic and Intelligent Systems
- Vol. 20 (3) , 188-200
Development of a Mecanum-Wheeled Mobile Robot for Dynamic- and Static-Obstacle Avoidance Based on Laser Range Sensor
Musa Matli, Ahmet Albayrak, and Raif Bayir. IJFIS 2020;20:188-200. https://doi.org/10.5391/IJFIS.2020.20.3.188
- 30 September 2020
- Published by Korean Institute of Intelligent Systems in International Journal of Fuzzy Logic and Intelligent Systems
- Vol. 20 (3) , 188-200
Open AccessDevelopment of a Mecanum-Wheeled Mobile Robot for Dynamic- and Static-Obstacle Avoidance Based on Laser Range Sensor
Musa Matli, Ahmet Albayrak, and Raif Bayir. IJFIS 2020;20:188-200. https://doi.org/10.5391/IJFIS.2020.20.3.188
- 8 June 2020
- Published by International Journal of Automotive Engineering and Technologies in International Journal of Automotive Engineering and Technologies
- Vol. 9 (2) , 76-85
Small size vehicle application with lane tracking capability via CHEVP algorithm
Humans are living things that make mistakes. Failure of drivers while driving can cause life, cost, organ loss. Some accidents may remain traumatic in people's memory and adversely affect their future lives. Traffic rules have been developed to prevent such accidents. Traffic is formally organized in many jurisdictions, with marked lanes, junctions, intersections, interchanges, traffic signals, or signs. Rules of the road and driving etiquette are the general practices and procedures that road users are required to follow. Thanks to these guides placed on the roads, drivers can go on the road in harmony. Despite all these precautions, there are many traffic accidents caused by the driver's carelessness, sleeplessness and tiredness. In today's technology, it is possible to utilize methods of processing images from cameras located in the vehicle to minimize driver-induced accidents. In this study, a prototype system was established in order to use the technologies used in autonomous vehicles and to teach these technologies. Camera and computer are placed on a battery-powered vehicle. Using the OpenCV library, lane tracking is performed successfully using the Canny/Hough Estimation of Vanishing Points (CHEVP) method. The developed system is suitable for the use and development of image processing technologies that are used in autonomous vehicle technology. The system is tested in real-time on a designed runway. From the real-time experimental studies, high-performance results were obtained.
- 8 June 2020
- Published by International Journal of Automotive Engineering and Technologies in International Journal of Automotive Engineering and Technologies
- Vol. 9 (2) , 76-85
Small size vehicle application with lane tracking capability via CHEVP algorithm
Humans are living things that make mistakes. Failure of drivers while driving can cause life, cost, organ loss. Some accidents may remain traumatic in people's memory and adversely affect their future lives. Traffic rules have been developed to prevent such accidents. Traffic is formally organized in many jurisdictions, with marked lanes, junctions, intersections, interchanges, traffic signals, or signs. Rules of the road and driving etiquette are the general practices and procedures that road users are required to follow. Thanks to these guides placed on the roads, drivers can go on the road in harmony. Despite all these precautions, there are many traffic accidents caused by the driver's carelessness, sleeplessness and tiredness. In today's technology, it is possible to utilize methods of processing images from cameras located in the vehicle to minimize driver-induced accidents. In this study, a prototype system was established in order to use the technologies used in autonomous vehicles and to teach these technologies. Camera and computer are placed on a battery-powered vehicle. Using the OpenCV library, lane tracking is performed successfully using the Canny/Hough Estimation of Vanishing Points (CHEVP) method. The developed system is suitable for the use and development of image processing technologies that are used in autonomous vehicle technology. The system is tested in real-time on a designed runway. From the real-time experimental studies, high-performance results were obtained.
- Open Access
- 28 September 2018
- Published by The Scientific and Technological Research Council of Turkey (TUBITAK-ULAKBIM) - DIGITAL COMMONS JOURNALS in Turkish Journal of Electrical Engineering and Computer Sciences
- Vol. 26 (5) , 2476-2488
Development of intelligent decision support system using fuzzy cognitive maps for migratory beekeepers
- 28 September 2018
- Published by The Scientific and Technological Research Council of Turkey (TUBITAK-ULAKBIM) - DIGITAL COMMONS JOURNALS in Turkish Journal of Electrical Engineering and Computer Sciences
- Vol. 26 (5) , 2476-2488
Open AccessDevelopment of intelligent decision support system using fuzzy cognitive maps for migratory beekeepers
- 27 June 2018
- Published by Kaunas University of Technology (KTU) in Elektronika ir Elektrotechnika
- Vol. 24 (3) , 53-60-60
CAN Communication Based Modular Type Battery Management System for Electric Vehicles
CAN Communication Based Modular Type Battery Management System for Electric Vehicles
- 27 June 2018
- Published by Kaunas University of Technology (KTU) in Elektronika ir Elektrotechnika
- Vol. 24 (3) , 53-60-60
CAN Communication Based Modular Type Battery Management System for Electric Vehicles
CAN Communication Based Modular Type Battery Management System for Electric Vehicles
- 1 June 2018
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1-5
Drive Mode Estimation for Electric Vehicles via Fuzzy Logic
Electric vehicles are widely used today. The biggest problem of electric vehicles are limited energy and limited range. Using energy efficiently is an important issue. In this study, we monitored an electric vehicle's systems and power consuming systems in real time. We predicted the optimal driving mode with electronic control unit using Fuzzy Logic Control. We tested system on electric golf car real time. The measurement parameters are transferred to Vehicle Control Unit via Controller Area Network. The driver can choose driving mode as economical driving, normal driving and sporty driving. Experimental results indicate that our Electronic Control Unit increases the driving range of the electric vehicle.
- 1 June 2018
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1-5
Drive Mode Estimation for Electric Vehicles via Fuzzy Logic
Electric vehicles are widely used today. The biggest problem of electric vehicles are limited energy and limited range. Using energy efficiently is an important issue. In this study, we monitored an electric vehicle's systems and power consuming systems in real time. We predicted the optimal driving mode with electronic control unit using Fuzzy Logic Control. We tested system on electric golf car real time. The measurement parameters are transferred to Vehicle Control Unit via Controller Area Network. The driver can choose driving mode as economical driving, normal driving and sporty driving. Experimental results indicate that our Electronic Control Unit increases the driving range of the electric vehicle.
- Open Access
- 1 April 2018
- Published by University of Slavonski Brod in Tehnicki vjesnik - Technical Gazette
- Vol. 25 (2) , 553-557
The Determination of the Developments of Beehives via Artificial Neural Networks
Honeybees provide great benefits for people both with the foods they produce and as a pollinator. It is known that they pass the whole year with the foods they collect in spring and summer months. Beekeepers also benefit from the honey...
- 1 April 2018
- Published by University of Slavonski Brod in Tehnicki vjesnik - Technical Gazette
- Vol. 25 (2) , 553-557
Open AccessThe Determination of the Developments of Beehives via Artificial Neural Networks
Honeybees provide great benefits for people both with the foods they produce and as a pollinator. It is known that they pass the whole year with the foods they collect in spring and summer months. Beekeepers also benefit from the honey...