Browsing by Author "Acır, Nurettin"
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8 Channel Mobile EEG Measurement Device Design
Balım, Mustafa Alper; Acır, Nurettin (Ieee, 2018)The need for portable and wearable EEG measurement systems has increased with the widespread use of EEG signals in many applications. In this study, a portable EEG measurement system with 8 channels, small size, wireless ... -
8 kanallı taşınabilir eeg ölçüm cihazı
Balım, Mustafa Alper (Bursa Teknik Üniversitesi, 2018)Elektroensefalografi (EEG) beyin dalgalarının, kafatası ya da beyin yüzeyinde oluşturduğu elektrik akımları yardımıyla ölçülmesini sağlayan yöntemdir. 1929 yılında Alman hekim Hans Berger tarafından önerilmiştir. EEG ... -
An adaptive noise canceller based on QLMS algorithm for removing EOG artifacts in EEG recordings
Menguc, Engin Cemal; Acır, Nurettin (Ieee, 2017)In this paper, a novel adaptive noise canceller (ANC) based on the quaternion valued least mean square algorithm (QLMS) is designed in order to remove electrooculography (EOG) artifacts from electroencephalography (EEG) ... -
An Augmented Complex-Valued Least-Mean Kurtosis Algorithm for the Filtering of Noncircular Signals
Menguc, Engin Cemal; Acır, Nurettin (Ieee-Inst Electrical Electronics Engineers Inc, 2018)In this paper, a novel augmented complex-valued least-mean kurtosis (ACLMK) algorithm is proposed for processing complex-valued signals. The negated kurtosis of the complex-valued error signal is defined as a cost function ... -
An augmented complex-valued Lyapunov stability theory based adaptive filter algorithm
Menguc, Engin Cemal; Acır, Nurettin (Elsevier, 2017)A novel augmented complex-valued Lyapunov stability theory (LST) based adaptive filter (ACLAF) algorithm is proposed for the widely linear adaptive filtering of noncircular complex-valued signals. After a candidate Lyapunov ... -
Automatic removal of ocular artefacts in EEG signal by using independent component analysis and artificial neural network
Cinar, S.; Menguc, E.C.; Acır, Nurettin (Institute of Electrical and Electronics Engineers Inc., 2017)Ocular artefacts caused by eye movements can distort Electroencephalogram (EEG) recordings. It is important to obtain clean EEG signals in diagnosing and interpreting diseases. Meaningful EEG signals should not be distorted ... -
Automatic Removal of Ocular Artefacts In EEG Signal by Using Independent Component Analysis and Chauvenet Criterion
Cinar, Salim; Acır, Nurettin (Ieee, 2015)Eye movements (saccade, blink and cause artefacts in Electroencephalogram recordings. The ocular artefact can distort the EEG signals. Removal of ocular artefact is important issue in EEG signal analysis. The main task of ... -
Capsule Network for Finger-Vein-based Biometric Identification
Gumusbas, Dilara; Yildirim, Tulay; Kocakulak, Mustafa; Acır, Nurettin (Ieee, 2019)Most of the recent researches have determined that finger-vein identification systems have begun to change their direction from hand-crafted feature extraction to automatic feature extraction methods, such as convolutional ... -
Classification of Motor Imagery Signals by Convolutional Neural Network for BCI Applications
Balım, Mustafa Alper; Acır, Nurettin (Ieee, 2019)Electroencephalography (EEG) signals have been using for clinical purposes for many years. However, studies on the use of EEG signals in brain computer interface (BBA) applications are increasing. It is possible to control ... -
Classification of Motor Imaginary Signals Using Stacked Autoencoders
Balım, Mustafa Alper; Acır, Nurettin (Institute of Electrical and Electronics Engineers Inc., 2020)Motor imagery signals are one of the electroencephalography signals that occurs by subjects imagining the movement of a body limb and they used in brain computer interface applications. With the use of deep neural networks ... -
A Complex-Valued Adaptive Filter Algorithm for System Identification Problem
Mengguc, Engin Cemal; Acır, Nurettin (Ieee, 2015)In this study, a complex-valued adaptive filter algorithm based on Lyapunov stability theory is presented to solve a system identification problem in the complex domain. The performance of the proposed complex-valued ... -
Complex-Valued Least Mean Kurtosis Adaptive Filter Algorithm
Menguc, Engin Cemal; Acır, Nurettin (Ieee, 2016)In this study, a complex-valued least mean Kurtosis (CLMK) adaptive filter algorithm is designed for processing complex-valued signals. The performance of the designed algorithm is tested on a complex-valued system ... -
Convolutional Neural Network Designs for Finger-vein-based Biometric Identification
Avcı, Adem; Kocakulak, Mustafa; Acır, Nurettin (Ieee, 2019)With the increase in the number of publicly available finger-vein datasets, most of the recent studies on finger-vein biometrics have started to use Convolutional Neural Networks (CNNs). Since it is not an easy task to ... -
Deep Neural Network Training with iPSO Algorithm
Kosten, Mehmet Muzaffer; Barut, Murat; Acır, Nurettin (Ieee, 2018)Deep learning-based methods are frequently preferred in many areas in recent years. Another issue, which is as important as deep neural networks applications, is the training of deep neural networks. Although many techniques ... -
EEG Sinyallerinden EOG Gürültülerini Yok Etmek için Lineer ve Geniş Lineer Kompleks Değerli En Küçük Ortalama Kare Algoritmaları Tabanlı Bir Adaptif Gürültü Yok Etme Sistemi
Bu çalışmada, elektroensefalografi (EEG) sinyallerinden elektrookülografi (EOG) gürültülerinin çıkarılması için lineer ve geniş lineer kompleks değerli en küçük ortalama kare algoritmaları tabanlı bir adaptif gürültü yok ... -
Enhancement of Finger Vein Images Using Gabor Filter
Kocakulak, Mustafa; Acır, Nurettin (Ieee, 2018)In this study, rather than locating a fixed region of interest directly on finger vein images, spatial filtering is applied and a texture-based edge detection method is used to give stable results. Koschmieder's Law, which ... -
Frequency Estimation Methods for Smart Grid Systems
Mengüç, Engin Cemal; Acır, Nurettin (Springer, 2018)Frequency is one of the most significant parameters in the smart grid systems. Thus, accurate frequency estimation becomes an essential task for monitoring, controlling and protecting a real-time smart grid system. In this ... -
A generalized Lyapunov stability theory-based adaptive FIR filter algorithm with variable step sizes
Menguc, Engin Cemal; Acır, Nurettin (Springer London Ltd, 2017)This paper presents a novel approach to Lyapunov stability theory-based adaptive filter (LAF) design. The proposed design is based on the minimization of the Euclidean norm of the difference weight vector under negative ... -
KOSGEB AR-GE, inovasyon desteklerinin değerlendirilmesi: Bursa organize sanayi bölgesi ve Nilüfer organize sanayi bölgesi KOBİ'leri özelinde bir çalışma
Piri, Yakup (Bursa Teknik Üniversitesi, 2019)KOBİ'ler yapmış oldukları üretim, gerçekleştirdikleri ihracat, ödemiş oldukları vergiler ve yaratmış olduğu istihdam ile ekonomide önemli rol oynamaktadırlar. Ulusal ve uluslararası piyasalarda taşıyıc güç olan ve ekonomilerin ... -
Kurtosis-Based CRTRL Algorithms for Fully Connected Recurrent Neural Networks
Menguc, Engin Cemal; Acır, Nurettin (Ieee-Inst Electrical Electronics Engineers Inc, 2018)In this paper, kurtosis-based complex-valued real-time recurrent learning (KCRTRL) and kurtosis-based augmented CRTRL (KACRTRL) algorithms are proposed for training fully connected recurrent neural networks (FCRNNs) in the ...
