Browsing by Author "Gürkan, Hakan"
Now showing items 1-20 of 40
-
Battery test and management system
Berbergil, Rifat (Işık Üniversitesi, 2019-05-28)This thesis is about meeting and answering the needs of devices with batteries for battery testing and management. The goal of the battery test and management's is to use the full capacity of the device and to be able to ... -
Biometric identification using fingertip electrocardiogram signals
Güven, Gökhan; Gürkan, Hakan; Güz, Ümit (Springer London Ltd, 2018-07)In this research work, we present a newly fingertip electrocardiogram (ECG) data acquisition device capable of recording the lead-1 ECG signal through the right- and left-hand thumb fingers. The proposed device is ... -
Biometric recognition using bio-signals
Dursun, Ceren (Işık Üniversitesi, 2017-04-14)The main objective of the project is to increase the recognition rate by establishing a multimodal biometric recognition system that uses two di_erent biometric characteristics, as bio-signals. Today, institutions use ... -
Bürünsel, sözcüksel ve biçimbilgisel bilgiyi kullanan co-training ile Türkçe konuşma dilinin otomatik cümle bölütlemesi
Güz, Ümit; Gürkan, Hakan (Tübitak, 2015-04)Co-training, web sayfası sınıflandırması, kelime anlam açıklaştırma ve adlandırılmış varlık tanıma gibi pek çok sınıflandırma işlevinde başarı ile kullanılan oldukça etkili bir makine öğrenme algoritmasıdır. Co-training, ... -
Compression of ECG signals using variable-length classified vector sets and wavelet transforms
Gürkan, Hakan (Springer International Publishing AG, 2012)In this article, an improved and more efficient algorithm for the compression of the electrocardiogram (ECG) signals is presented, which combines the processes of modeling ECG signal by variable-length classified signature ... -
Compression of the biomedical images using quadtree-based partitioned universally classified energy and pattern blocks
Gezer, Murat; Gargari, Sepideh Nahavandi; Güz, Ümit; Gürkan, Hakan (Springer London, 2019-03-15)In this work, an efficient low bit rate image coding/compression method based on the quadtree-based partitioned universally classified energy and pattern building blocks (QB-UCEPB) is introduced. The proposed method combines ... -
Compression of the CT images using classified energy and pattern blocks
Gökbay, İnci Zaim; Gezer, Murat; Güz, Ümit; Gürkan, Hakan; Yarman, Bekir Sıddık Binboğa (IEEE, 2013)In this work, a new biomedical image compression method is proposed based on the classified energy and pattern blocks (CEPB). CEPB based compression method is specifically applied on the Computed Tomography (CT) images and ... -
Data compression for smart grid infrastructure
Sarı, Ege Münir (Işık Üniversitesi, 2018-01-15)Embedded systems, which work with large data sets, need larger memory and consume much more data traffc when compared to other IOT (Interne Of Things) devices. In this study, Human's Lossless Compression Algorithm is ... -
EEG signal compression based on classified signature and envelope vector sets
Gürkan, Hakan; Güz, Ümit; Yarman, Bekir Sıddık Binboğa (IEEE Computer Society, 2007)In this paper, a novel method to compress ElectroEncephaloGram (EEG) Signal is proposed. The proposed method is based on the generation Classified Signature and Envelope Vector Sets (CSEVS) by using an effective k-means ... -
EEG signal compression based on classified signature and envelope vector sets
Gürkan, Hakan; Güz, Ümit; Yarman, Bekir Sıddık Binboğa (Wiley, 2009-03)In this paper, a novel method to compress electroencephalogram (EEG) signal is proposed. The proposed method is based on the generation process of the classified signature and envelope vector sets (CSEVS), which employs ... -
Effective semi-supervised learning strategies for automatic sentence segmentation
Dalva, Doğan; Güz, Ümit; Gürkan, Hakan (Elsevier Science BV, 2018-04-01)The primary objective of sentence segmentation process is to determine the sentence boundaries of a stream of words output by the automatic speech recognizers. Statistical methods developed for sentence segmentation requires ... -
An efficient ECG data compression technique based on predefined signature and envelope vector banks
Gürkan, Hakan; Güz, Ümit; Yarman, Bekir Sıddık Binboğa (IEEE, 2005)In this paper, a new method to compress ElectroCardioGram (ECG) Signal by means of "Predefined Signature and Envelope Vector Banks-PSEVB" is presented. In this work, on a frame basis, any ECG signal is modeled by multiplying ... -
Elektroensefalogram (EEG) işaretlerinin sıkıştırılmasında özgün bir yaklaşım
Gürkan, Hakan; Güz, Ümit; Yarman, Bekir Sıddık Binboğa (IEEE, 2008)Bu çalışmada, Elektroensefalogram(EEG) işaretlerinin yeniden oluşturulmasına yönelik olarak yeni bir yöntem sunulmaktadır. Sunulan yöntem, etkin bir k-ortalamalı sınıflandırma algoritması kullanılarak Sınıflandırılmış Temel ... -
Extension of conventional co-training learning strategies to three-view and committee-based learning strategies for effective automatic sentence segmentation
Dalva, Doğan; Güz, Ümit; Gürkan, Hakan (IEEE, 2018)The objective of this work is to develop effective multi-view semi-supervised machine learning strategies for sentence boundary classification problem when only small sets of sentence boundary labeled data are available. ... -
Extraction and comparison of various prosodic feature sets on sentence segmentation task for Turkish broadcast news data
Dalva, Doğan; Revidi, İzel D.; Güz, Ümit; Gürkan, Hakan (IEEE, 2014)In this work, prosodic features of the Turkish Broadcast News (BN) data are extracted using an open source prosodic feature extraction tool based on Praat. The profiles and effectiveness of these features are also investigated ... -
Fingertip ECG signal based biometric recognition system
Güven, Gökhan (Işık Üniversitesi, 2016-05-10)The idea is the; realize biometric recognition system by using ECG signal which was began to use in the last 10 years. Until now, ECG based biometric systems have been developed by using the database which ECG signals are ... -
Fingertip electrocardiogram and speech signal based biometric recognition system
Güven, Gökhan (Işık Üniversitesi, 2021-12-27)Fingertip electrocardiogram and speech signal based biometric recognition system In this research work, we presented a one-dimensional CNN-based person identification system which depends on the combination of both speech ... -
Işık Üniversitesi Mühendislik Fakültesi
İldaş, Görkem; Gürsoy, Sait; Gürkan, Hakan; Berbergil, Rıfat; Işık Üniversitesi; Işık Üniversitesi, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü (SKY 360 TV, 2014-06-30)Işık Üniversitesi Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölüm Başkanı Yardımcısı Doç Dr. Hakan Gürkan ve mühendislik fakültesi öğrencisi Rıfat Berbergil’in SKY 360 TV kanalında yayınlanan, Görkem İldaş'ın ... -
Measurement of sea water parameters using mems technology
Acar, Funda (Işık Üniversitesi, 2012-02-08)The system is used to measure the pressure and the temperature values up to hundred meters of the sea water. This project is also called as expendable environmental probe. The probe contains a temperature sensor, a pressure ... -
Modeling of electrocardiogram signals using predefined signature and envelope vector sets
Gürkan, Hakan; Güz, Ümit; Yarman, Bekir Sıddık Binboğa (Hindawi Publishing Corporation, 2007)A novel method is proposed to model ECG signals by means of "predefined signature and envelope vector sets (PSEVS)." On a frame basis, an ECG signal is reconstructed by multiplying three model parameters, namely, predefined ...
