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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…

The use of neon indictor lamp glow discharge detectors (GDDs) has a relatively great potential for a number of microwave detecting and imaging applications. This is so because of their many advantages which include but not limited to; low cost, fast response t…

Instantaneous estimation of the frequency of a real sinusoid in noise from a small number of data samples is an important problem in the signal processing area. Several frequency estimators are proposed for this problem in the literature. In this paper, some o…

A serial hybrid optical amplifier composing of two amplification stages of erbium-doped fiber (EDF) amplifier covered C-band window and Raman fiber amplifier (RFA) covered L band window demonstrated. In this paper, the optimizations were done to obtain the opt…

Developing technology, and electronic devices, power consumption is increasing day by day. At the present time, there are many methods used to generate electricity. Most of these methods cause environmental pollution. The share of thermal power plants in elect…

In this paper, signal recognition system is proposed for classification of soil types and buried object by using feature extraction and artificial neural networks. Using GprMax simulation program, 300 GPR A scan signals were obtained for different ground plane…

Field Programmable Gate Arrays (FPGAs) are configurable logic semiconductor devices which connect by programmable interconnections. They can be reprogrammed to desired application or functionality requirements. VHDL is a one of the hardware descriptive languag…

The Designesart Collection was created as part of the master’s program in Furniture and Interior Design at the Instituto Politécnico de Castelo Branco’s Escola Superior de Artes Aplicadas, Portugal. It is a product series that values inherent Beira Baixa’s ter…

Predictive maintenance (PdM) enhances industrial operational efficiency by facilitating timely detection of equipment failures using machine learning models developed from historical maintenance data.  Real-world industrial datasets frequently exhibit signific…

This study evaluates the performance of Faster R-CNN and YOLOv7 object detectors for dynamic ship detection in maritime applications. Both algorithms are tested under challenging conditions, including poor image quality due to cloud and dust obscuration, varyi…

Development of semiconductor technology, the introduction of computers, smart devices and many household appliances into our lives, especially in the last 20 years, the increase in interest in renewable energy sources, the density of the population in the grid…

The Head of Revenue Administration (HRA) in Turkey imposes the obligation to use new generation payment recording devices (NG PRDs) at fuel stations. The pump and the cash register were separate units in old payment systems, and communication was provided via …

Elektromiyografi, kas aktivitesi sonucunda meydana gelen biyolojik işaretlerin ölçülmesine olanak sağlayan invaziv olmayan bir yöntemidir. Yüzey ve iğne elektromiyografisi olarak uygulama amacına göre iki şekilde kullanılmaktadır.  Bu çalışmada internet üzerin…

Environment and climate change caused by human life negatively affects our world on a global scale. The need for sustainable technological solutions to minimize these disadvantages is becoming increasingly imperative. Nanotechnology is entering our lives at th…

This study basically presents a review of robotic hands and its applications based on human hand motion. In the context of the review, different kinds of articles are analyzed. There are some hand motion-sensing methods, which are noncontact and direct contact…

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 …

Word embedings are intense vector representations of words. They capture the semantic order between words. In our study, we propose a new method for classifying text by author, using word embeds and author vector space. Using each author's books, we trained th…

Neural Network has been used in a number of scientific fields including medical diagnosis. It is clear that classification is one of the main challenges in any medical diagnosis. However, the drawbacks of conventional neural network classifier are summarized a…

Artificial lighting is an important part of global electricity consumption. At office buildings, the energy consumed by artificial lighting can reach up to 40% of total energy consumption. This work is being done to find solutions to such problems with energy …

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…