Bildiri & Sunum Koleksiyonu
Güncel Gönderiler
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Arttırılmış Oransal Seyrüsefer Güdümüne Gözleyici Etkisinin Farklı Hedef Modellerine Göre İncelenmesi
(Institute of Electrical and Electronics Engineers Inc., 2022)In this study, a new three-dimensional (3D) guidance law based on an the augmented proportional navigation guidance law utilizing a disturbance observer (DOB) technique is proposed considering different target models. The ... -
Görüntü Tabanlı Kamera Konumlandırma İçin Farklı Eniyileme Tekniklerinin Başarım Değerlendirmesi
(Institute of Electrical and Electronics Engineers Inc., 2022)In this study, the performance evaluation of different optimization methods in calculating the change of camera movement, in other words the camera position and angle, was made on images taken from different views with the ... -
A Novel Software for Automatic Calibration Factor Measurement of RF Power Sensors
(IInstitute of Electrical and Electronics Engineers Inc., 2022)In this letter, a software for calibration factor (CF) measurement of radio frequency (RF) power sensors (PS) by using VNA-based direct comparison transfer method (VBDCTM) was developed on C# platform. Measurements were ... -
LMI-Based Sliding Mode Control Design and Experimental Application to an Electromechanical Plant
(Ieee, 2019)Recently, sliding mode control because of convenience and robustness has become a preferred method. In this paper, LMI-based sliding mode controller is designed for speed control of Precision Modular Servo experiment (PMS). ... -
An Experimental Study on Decomposition: Process First or Structure First?
(Springer Verlag, 2019)This article explores the answer to the question of considering the process or the structure dimensions earlier, in software development where decomposition is a preferred technique for top-down model construction. In this ... -
Karma K-Ortalamaları Kümeleme ve Karınca Kolonisi Algoritmaları Kullanarak Dijital Mamogram Görüntüleri Üzerinde Bölütleme
(Institute of Electrical and Electronics Engineers, 2018)In this study, It was tried to do segmentation on digital mammography images in order to help expert or radiologist to find cancer region with computer aided. In addition to traditional segmentation methods, It was studied ... -
Eşgüdümlü Bileşenler ile Birleştirme Yaklaşımı
(CEUR-WS, 2017)Bu çalışmada bileşen yönelimli sistem geliştirme yaklaşımlarında süreç modeli kullanımını desteklemek üzere farklı kabiliyetler gerektiren bileşen yapıları önerilmektedir. Bu yapılar ile merkezi bir süreç denetimi sağlamak ... -
Second-order sliding mode control design and experimental application to a servo motor
(Institute of Electrical and Electronics Engineers Inc., 2017)In this study, first-order and second-order sliding mode speed controller for the Precision Modular Servo (PMS) setup produced by Feedback Instruments is proposed. The second-order sliding mode controller which permits ... -
A Multistage Deep Learning Algorithm for Detecting Arrhythmia
(Institute of Electrical and Electronics Engineers, 2018)Deep Belief Networks (DBN) is a deep learning algorithm that has both greedy layer-wise unsupervised and supervised training. Arrhythmia is a cardiac irregularity caused by a problem of the heart. In this study, a multi-stage ... -
Control System Implementation on an FPGA Platform
(Elsevier, 2016)This paper presents PID and SMC control schemes on a Field Programmable Gate Array device (FPGA) for robot manipulators. The implementation of the control systems on FPGA by using optimal hardware resources is one of the ... -
Performance Comparision of Different Momentum Techniques on Deep Reinforcement Learning
(Institute of Electrical and Electronics Engineers Inc., 2017)Increase in popularity of deep convolutional neural networks in many different areas leads to increase in the use of these networks in reinforcement learning. Training a huge deep neural network structure by using simple ... -
Sliding Mode Control Design and Experimental Application to an Electromechanical Plant
(Institute of Electrical and Electronics Engineers Inc., 2016)In recent years, sliding mode control has become a preferred because of its convenience and robustness. And sliding mode control techniques have been commonly employed in a various applications. In this study, the Precision ... -
Makine Öğrenmesini Kullanarak Solunum Sesinin Analizinin Değerlendirilmesi
(Institute of Electrical and Electronics Engineers Inc., 2017)Solunum seslerinin oskültasyonu, pulmoner bozukluklar ve bazı kardiyak bozuklukların teşhisi için göğüs ve sırttan dinlenen sesler için kullanılan ucuz ve etkili bir yöntemdir. Günümüzde bilgisayar destekli analiz ve ... -
Kablosuz algılayıcı ağlarda düğümlerin kapsama yarıçapının ağ ömrüne etkisi
(Institute of Electrical and Electronics Engineers Inc., 2017)Kablosuz algılayıcı ağlarda (KAA) ağ ömrünün iyileştirilmesi için kümeleme ve yönlendirme algoritmalarının yanısıra performans parametreleri de oldukça önemlidir. Düğüm sayısı, ağ alanı ve düğümlerin kapsama yarıçapı gibi ... -
Deep Learning for COPD Analysis Using Lung Sounds
(Baku State University, 2018)In this study, Hilbert-Huang Transform (HHT) was applied to the lung sounds from RespiratoryDatabase@TR and the statistical features were calculated from the different modulations of the HHT. The statistical features were ... -
Orthogonal Extreme Learning Machine Based P300 Visual Event-Related BCI
(Springer, 2015)Brain Computer Interface (BCI) is a type of human-computer relationship research that directly translates electrical activity of brain into commands that can rule equipment and create novel communication channel for muscular ... -
Webcam Based Real-Time Robust Optical Mark Recognition
(Springer, 2015)This study proposes a robust, low cost, real-time optical mark recognition (OMR) system that uses a webcam and a small OMR form to read hand-marked data from plain paper. The system is designed to read data from any ... -
Beyin Bilgisayar Arayüzü Tabanli Görsel Tespit Sistemi
(Institute of Electrical and Electronics Engineers Inc., 2017)Bu çalışmada görsel verilerin EEG sinyali üzerinde meydana getirdiği p300 bileşeni kullanılarak örüntü tanıma tabanlı beyin bilgisayar ara yüzü geliştirilmiştir. EMOTIV EPOC+ kayıt cihazı ve OPENVIBE yazılımı kullanılarak ...
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