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Asenkron motorlar, endüstrideki en yaygın kullanılan motorlardır. Çok avantajlı bir yapıda olduklarından üretim hatlarının her noktasında bulunurlar. Bu motorların arızalarını hızlı ve kolay bir şekilde tespit etmek arzu edilir. Bu makalede, asenkron motorları…

It is important to determine the initial level of failures of induction motors used in many industrial applications. The sudden stops of the system can be prevented with the pre-detection of the fault. The experiment mechanism was established to detect mechani…

Canlı varlıklar yaşamlarını sürdürebilmek için suya ihtiyaç duyarlar. Su yeryüzünde sürekli olarak bir dolanım halinde bulunmaktadır. Bu dolanım sırasında çeşitli sebeplerden dolayı suya karışan maddeler suyun özelliklerinin değişmesine sebep olur. Gerek suyun…

It is well known that non-Gaussian noise deteriorates the detection performances of the conventional detection methods. This problem is also encountered in cognitive radio where impulsive structure of noise negatively affects spectrum sensing. Multistage detec…

In this study, mathematical modeling of outer rotor brushless direct current motor (BLCD) is performed. Brushless direct current motor is highly preferred in industrial applications when compared the other motor types with considering advantages and disadvanta…

21. yüzyıldan itibaren teknolojideki gelişmeler sayesinde konum tabanlı sistemler giderek yaygınlaşmaya başlamıştır. Uydu tabanlı konumlandırma sistemleri, uydulardan gelen sinyallerin zayıf şiddette olması sebebi ile bina içine nüfuz edemez. Bir iç ortam konu…

The paper is deals with Glass Structures, used as a component of nonlinear shaping architectural forms in historical urban environment. These forms are treated as a city-event per analogies to Bernard Tschumi's theory of „event cities”. In this theory, the ess…

Deep learning is a machine learning sub-field that uses deep neural networks. Instead of customized algorithms for each study in this field, it is aimed to cover the wider data set of solutions based on learning the data. Deep learning is a promising approach …

Scientific progress is an ongoing process and humans always have new ideas for new inventions. Although, scientific process is cumulative, you must invent the tire before inventing the car. Currently, mankind has past that point and looking towards to new chal…

In this paper, the Ku-band rectangular microstrip patch antenna (RMPA) is intended to operate in the dual-band for satellite communication (SATCOM). The antenna which is obtained for dual-band by utilizing a U-slot and vertical slits on RMPA is fed with a micr…

Tüm dünyada özellikle de kent merkezlerinde yaşayan insan nüfusu her geçen gün artmaktadır. Nüfus artışına bağlı olarak sosyal, ekonomik ve çevre sorunlarını da her geçen gün artmaktadır. Günümüzde kent merkezlerinde görülen en önemli çevre sorunlarından biri …

Several statistical analyses of the Pisarenko harmonic decomposition (PHD) method for frequency estimation of a single real sinusoid in noise have been carried out in the literature. However, all of the analyses consider the phase of the sinusoid as a constant…

The Motion Picture Association of America(MPAA) is used in the United States to rate a film's compatibility via its content. These systems evaluate ratings according to the scenes in the movies. In this work, a deep learning based classification technique is p…

This paper introduces the International Terrestrial Reference Frame (ITRF) transformation software for stations’ three-dimensional coordinates and velocities. The software allow to 14-parameter transformation. The software is written in MATLAB programming lang…

Correct orientation of students during education is very crucial for preventing future failures. Students who cannot graduate at the time may cause negative impacts on the family and the country's economy as well as the decrease of the young labor force. This …

The identification of the 3-dimensional physical properties of humans has recently become a very important field of study. In this respect, today's applications and research use depth cameras such as Kinect as an input tool for identification of quantitative c…

Robot algorithms require faster and more efficient computing due to increasing integration of robot arms to automation systems and expanding capabilities of robotic systems. Inverse kinematics calculations used in trajectory generation is one of these algorith…

Plastic injection molding is one of the widely used methods of forming plastic materials. The process of cooling the mold in injection molding has an important role in reducing the production costs and increasing the product quality. Thanks to the evolving add…

Digital image processing has become popular research area recently because of its widespread application compatibility such as security, robotics, quality control, face authentication. Skin segmentation methodology, which is a tool of digital image processing,…

Doğru akım motoru servo sistemlerde önemli bir tahrik unsurdur. Hız veya konum denetimi gerektiren sistemlerde kolay denetlenebildiği ve yüksek performans gösterdiği için sıkça kullanılmaktadırlar. Bu çalışmada, bir DC servo sistemin modellenmesi, durum değişk…