• Fault ride-through (FRT) capability and current FRT methods in photovoltaic-based distributed generators 

  Bayrak, Gökay; Ghaderi, Davood; Sanjeevikumar P. (Elsevier, 2020)

  In this chapter, current methods used for fault ride-through (FRT) capability are examined by researching studies on the capacity of FRT in grid-connected photovoltaic (PV) systems after any failures. These methods have ...

• A Demand Side Management Controller Configuration for Interleaved DC-DC Converters Applicable for Renewable Energy Sources 

  Ertekin, Davut; Bayrak, Gökay; Subramaniam, Umashankar (Wiley, 2021)

  In Micro-grid applications, accuracy and sensitivity of the Demand Side Management (DSM) process decrease when the load impedance changes. In this study, the impact of the DSM is analyzed and the interleaved structure is ...

• A new signal processing-based islanding detection method using pyramidal algorithm with undecimated wavelet transform for distributed generators of hydrogen energy 

  Yılmaz, Alper; Bayrak, Gökay (PERGAMON-ELSEVIER SCIENCE LTD, 2022)

  Machine learning-based fault detection methods are frequently combined with wavelet transform (WT) to detect an unintentional islanding condition. In contrast to this condition, these methods have long detection and ...

• Consideration of graphene material in PCM with aluminum fin structure for improving the battery cooling performance 

  Aslan, Eyyüp; Aydın, Yusuf; Yasa, Yusuf (WILEY, 2022)

  Phase change material (PCM) based battery thermal management system (BTMS) provides even heat distribution and lower maximum temperature, but it suffers from low thermal conductivity. In this study, the impact of graphene ...

• Cross-entropy method for distribution power systems reconfiguration 

  Sebaa, Karim; Gelen, Ayetül; Nouri, Hassan (Wiley, 2019)

  Cross-entropy (CE) is a powerful simulation method for the solution of continuous and combinatory optimization problems. The work presented here utilizes the CE method for the optimal topology of distribution power systems ...

• 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 ...

• An improved automated PQD classification method for distributed generators with hybrid SVM-based approach using un-decimated wavelet transform 

  Yılmaz, Alper; Kucuker, Ahmet; Bayrak, Gökay; Ertekin, Davut; Shafie-Khah, Miadreza; Guerrero, Josep M. (Elsevier, 2021)

  Artificial intelligence (AI) approaches are usually coupled with the wavelet transform (WT) for feature extraction to classify the power quality disturbances (PQDs). Therefore, selecting a useful WT-based signal processing ...

• A novel biometric identification system based on fingertip electrocardiogram and speech signals 

  Guven, Gokhan; Guz, Umit; Gürkan, Hakan (Academic Press, 2021)

  In this research work, we propose a one dimensional Convolutional Neural Network (CNN) based biometric identification system that combines speech and ECG modalities. The aim is to find an effective identification strategy ...

• Driver Drowsiness Detection using MobileNets and Long Short-term Memory 

  Aydemir, Gürkan; Kurnaz, Oguzhan; Bekiryazıcı, Tahir; Avcı, Adem; Kocakulak, Mustafa (Institute of Electrical and Electronics Engineers Inc., 2021)

  Deep learning has been studied extensively for driver drowsiness detection using video data. However, since the proposed deep learning methods are computationally cumbersome, the commercial driver drowsiness detection ...

• Double Compressed AMR Audio Detection Using Spectral Features With Temporal Segmentation 

  Büker, Aykut; Hanilçi, Cemal (Institute of Electrical and Electronics Engineers Inc., 2021)

  Double compressed (DC) AMR audio detection is an important audio forensic problem which is used to authenticate the originality of an auido recording. Majority of the existing studies use audio features extracted from the ...

• Design and Validation of an Effective Temperature Compensated-Based FBG Sensor Package for Air Vehicle Applications 

  Arslan, Mehmet Mücahit; Bayrak, Gökay (Institute of Electrical and Electronics Engineers Inc., 2021)

  The use of Fiber Bragg Gratings (FBGs) sensors is increasing day by day because of its unique properties such as lightness, immunity to EM and RF signals, minimized harness complexity, and suitability to array manufacturing. ...

• An Efficient Full-wave and Switched-capacitor-based AC-DC-DC Converter Configuration; Applicable for High Voltage Gain Industrial Utilizations 

  Ertekin, Davut; Bilgiç, Mesut Berke; Mutlu, Bülent (Institute of Electrical and Electronics Engineers Inc., 2021)

  Power electronics circuits are one of the vital and important parts of the industrial applications, where different levels of the DC and AC voltages and currents are necessary to be applied to the different electronic and ...

• SA-net: A sequence aware network for the segmentation of the left atrium in cine MRI datasets 

  Uslu, Fatmatülzehra; Varela, Marta (IEEE Computer Society, 2021)

  The segmentation of the left atrium (LA) in CINE MRI is a prerequisite for the calculation of LA functional parameters and may be useful when selecting treatments for atrial fibrillation patients. CINE MRI usually captures ...

• Motor Imagery Signal Classification Using Constant-Q Transform for BCI Applications 

  Balim, Mustafa Alper; Hanilçi, Cemal; Acir, Nurettin (European Signal Processing Conference, EUSIPCO, 2021)

  Electroencephalography (EEG) signals have been using for brain-computer interface applications for the last two decades. Motor imagery (MI) signals are one of the EEG signal types formed by imagining a limb's movement. ...

• Modified window function for optically thick samples measured by a terahertz time-domain spectroscopic system using a multimode laser diode 

  Morikawa, Osamu; Hamada, Dai; Ozturk, Turgut; Yamamoto, Kohji; Kurihara, Kazuyoshi; Kuwashima, Fumiyoshi; Tani, Masahiko (The Optical Society, 2021)

  A low-cost type terahertz time-domain spectroscopic system can be constituted using a multimode laser diode instead of a pulse laser. To suppress noise, a window function is usually used in the Fourier transformation. When ...

• Modelling and Performance Analysis of an Electric Vehicle Powered by a PEM Fuel Cell on New European Driving Cycle (NEDC) 

  Işıklı, Fırat; Sürmen, Ali; Gelen, Ayetül (Springer Science and Business Media Deutschland GmbH, 2021)

  Modelling of a complete polymer electrolyte membrane fuel cell (PEMFC) power systems and performance of the models when subjected to common driving cycle are important research issues. In this study a complete PEMFC system, ...

• LA-Net: A Multi-Task Deep Network for the Segmentation of the Left Atrium 

  Uslu, Fatmatülzehra; Varela, Marta; Boniface, Georgia; Mahenthran, Thakshayene; Chubb, Henry; Bharath, Anil A. (Institute of Electrical and Electronics Engineers Inc., 2022)

  Although atrial fibrillation (AF) is the most common sustained atrial arrhythmia, treatment success for this condition remains suboptimal. Information from magnetic resonance imaging (MRI) has the potential to improve ...

• Deep convolutional neural networks for double compressed AMR audio detection 

  Büker, Aykut; Hanilçi, Cemal (John Wiley and Sons Inc, 2021)

  Detection of double compressed (DC) adaptive multi-rate (AMR) audio recordings is a challenging audio forensic problem and has received great attention in recent years. Here, the authors propose to use convolutional neural ...

• Design of a new UTC-PD to enhance the BW value 

  Gencal, Huriye; Öztürk, Turgut (Institute of Electrical and Electronics Engineers Inc., 2021)

  Promising UTC-PDs have been actively used recently in terms of being an alternative to expensive and bulk THz resources used in many areas such as millimeter and Terahertz (THz) signal (wave) production, communication, ...

• Angular Margin Softmax Loss and Its Variants for Double Compressed AMR Audio Detection 

  Büker, Aykut; Hanilçi, Cemal (Association for Computing Machinery, Inc, 2021)

  Double compressed (DC) adaptive multi-rate (AMR) audio detection is an important but challenging audio forensic task which has received great attention over the last decade. Although the majority of the existing studies ...

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