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Bulunan: 23 Adet 0.012 sn
Koleksiyon : Bilgisayar Mühendisl ... ✕Koleksiyon : Mühendislik ve Doğa ... ✕
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Erişime Açık

A Multistage Deep Learning Algorithm for Detecting Arrhythmia

ALLAHVERDİ, Novruz | KUTLU, Yakup | ALTAN, Gökhan

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 DBN classification is proposed for achieving the efficiency of the DBN on arrhythmia disorders. Heartbeats from the MITBIH Arrhythmia database are classified into five groups which are recommended by AAMI. The Wavelet packet decomposition, higher order statistics, morphology and Discrete Fourier transform techniques were utilized to extract features. The classification pe ...Daha fazlası

Konferans Bildirisi 2017 IEEE 6 Görüntülenme
Erişime Açık

Detection of the Electronic Attributes of the Nanostructured Materials with Fuzzy Logic

ALLAHVERDİ, Novruz | GENCER, Muhammet Çağrı | VARDAR, Necati

This is a study, in which a trial was done to estimate the energy band gap (Eg) of single-walled carbon nanotubes (SWCNTs) by using a fuzzy logic algorithm that uses five inputs (strain value, fermi energy level, average energy, repulsive potential and electronic band structure energy).

Konferans Bildirisi 2018 3 Görüntülenme
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Fuzzy Logic Control System with Helicopter Takeoff and Landing

ALLAHVERDİ, Novruz | HACIMURTAZAOĞLU, Murat

In this study, fuzzy expert system is designed for the provision of helicopter takeoffs and landings by fuzzy logic. For this purpose, a model helicopter and the test platform have been created that helicopter movements can be tested. The vertical motion control on the axis defined by the fuzzy logic control system is provided for the helicopter with the generated test platform with four degrees of freedom. Fuzzy logic controller was designed with Arduino 2560 control board and Visual Studio 2010 C Sharp program for controlling helicopter model and analysis of motion control was made. Real-tim ...Daha fazlası

Konferans Bildirisi 2016 6 Görüntülenme
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The Function Analysis and its Application to Determination of Fuzzy Subsets for Model Helicopter Fuzzy Control

ALLAHVERDİ, Novruz | HACIMURTAZAOĞLU, Murat

In this study, an analysis of the function that determines the sub-clusters of the fuzzy controller for model helicopter control is performed. For this purpose, a model helicopter and a test platform were established in which the results of the function analysis can be seen and the application results will be examined. Arduino control card is used for model control. Analysis results are analyzed on computer using c # program. The computer connection with the model is carried out via the Usb port. Input parameters for control are obtained from the sensors on the model. The output values are cal ...Daha fazlası

Konferans Bildirisi 2017 5 Görüntülenme
Erişime Açık

Deep Learning for COPD Analysis Using Lung Sounds

ALLAHVERDİ, Novruz | ALTAN, Gökhan | KUTLU, Yakup

Deep Learning(DL) algotithms have become popular with the detailed analyzing capabilities with many hidden layers in recent years. The size of hidden layer in the classifier models is complately correlated with the analyzing capability of the proposed mode. Multiple hidden layers and neuron size in the hidden layers enhance the analyzing capability of the models,whereas increasing the training time.

Konferans Bildirisi 2018 3 Görüntülenme
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Image Quality Assessment Metrics Combining Structural Similarity and Image Fidelity with Visual Attention

MENDİ, Engin

Image quality assessment has a great importance in several image processing applications. Recently, various objective image quality metrics have been proposed in order to predict human visual perception. In this paper, novel image quality metrics, S-SSIM (saliency-based structural similarity index) and S-VIF (saliency-based visual information fidelity), are proposed based on a visual attention model extracting frequency-tuned salient region. Saliency maps are produced from the color and luminance features of the image. SSIM and VIF in pixel domain are modified by the weighting factors of the s ...Daha fazlası

Makale 2015 1 Görüntülenme
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Matematik Öğretmen Adaylarının Lineer Kongrüanslara İlişkin Soyutlamayı İndirgeme Eğilimleri

ŞENAY, Şaban Can | ÖZDEMİR, Ahmet Şükrü

Öz: Matematik öğretmen adaylarının lisans eğitimi süresince alan bilgilerinin şekillenmesinde önemli rolü olan derslerden birisi de Sayılar Teorisi dersidir. Bu çalışmada, matematik öğretmen adaylarının, Sayılar Teorisi dersi kapsamında verilen lineer kongrüanslar ile ilgili algılayışları, Hazzan’ın (1999) geliştirdiği soyutlamanın indirgenmesi teorisi çerçevesinde incelenmiştir. Soyutlamanın indirgenmesi düşüncesi öğrencilerin, kavramların derste verildiği soyutlama seviyesinden daha düşük seviyedeki bir soyutlamayla çalışma eğilimlerine dayanmaktadır. Araştırmamızda, ilköğretim ve ortaöğreti ...Daha fazlası

Makale 2014 Eğitim ve İnsani Bilimler Dergisi: Teori ve Uygulama 3 Görüntülenme
Erişime Açık

Deep Belief Networks Based Brain Activity Classification Using EEG from Slow Cortical Potentials in Stroke

ALLAHVERDİ, Novruz | ALTAN, Gökhan | KUTLU, Yakup

An electroencephalogram (EEG) is an electrical activity which is recorded from the scalp over the sensorimotor cortex during vigilance or sleeping conditions of subjects. It can be used to detect potential problems associated with brain disorders. The aim of this study is assessing the clinical usefulness of EEG which is recorded from slow cortical potentials (SCP) training in stroke patients using Deep belief network (DBN) which has a greedy layer wise training using Restricted Boltzmann Machines based unsupervised weight and bias evaluation and neural network based supervised training. EEGs ...Daha fazlası

Makale 2016 8 Görüntülenme
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A New Approach to Early Diagnosis of Congestive Heart Failure Disease by Using Hilbert-Huang Transform

ALLAHVERDİ, Novruz | KUTLU, Yakup | ALTAN, Gökhan |

Congestive heart failure (CHF) is a degree of cardiac disease occurring as a result of the heart's inability to pump enough blood for the human body. In recent studies, coronary artery disease (CAD) is accepted as the most important cause of CHF. This study focuses on the diagnosis of both the CHF and the CAD. The Hilbert-Huang transform (HHT), which is effective on non-linear and non-stationary signals, is used to extract the features from R-R intervals obtained from the raw electrocardiogram ddata. The statistical features are extracted from instinct mode functions that are obtained applying ...Daha fazlası

Makale 2016 4 Görüntülenme
Erişime Açık

A Multistage Deep Belief Networks Application on Arrhythmia Classification

ALLAHVERDİ, Novruz | ALTAN, Gökhan | KUTLU, Yakup

An electrocardiogram (ECG) is a biomedical signal type that determines the normality and abnormality of heart beats using the electrical activity of the heart and has a great importance for cardiac disorders. The computer-aided analysis of biomedical signals has become a fabulous utilization method over the last years. This study introduces a multistage deep learning classification model for automatic arrhythmia classification. The proposed model includes a multi-stage classification system that uses ECG waveforms and the Second Order Difference Plot (SODP) features using a Deep Belief Network ...Daha fazlası

Makale 2016 4 Görüntülenme
Erişime Açık

An Artificial Neural Network Study for Predicting Sex in Bulls

ALLAHVERDİ, Novruz | SADAY, Fatih

In this study, the research and analyzes were carried out on sex determination of bull sperm cells using an artificial neural network. Gender identification is important in animal breeding, focusing on the desired outcome and planning. For analyzes to be performed with artificial neural networks, sperm cells should be examined under a microscope and computeraided separation must be performed along with the obtained data. As the subject of the study, these analyzes were done by preferring back propagation artificial neural network and normalizing the data. Outputs of the network were compared w ...Daha fazlası

Konferans Bildirisi 2018 7 Görüntülenme
Erişime Açık

Fuzzy Position Control Approach for Autonomous Robot Controller

ALLAHVERDİ, Novruz | ÇETİNKAYA, Ali | SARAY, Tuğba | AFAGHANI, Ahmad Yasser

In this study, the application of position control on a fixed track by an autonomous robot fuzzy controller approach is realized. For this purpose, a system is designed in which the real time data exchange can be done both for hardware and software. The embedded system (Atmel 2560 Integrity) is used in the hardware section to achieve the target attainment and position control with the fuzzy controller. DC motor, servo motor, ultrasonic sensor, Bluetooth module and optical sensor are controlled using this system. In addition, the desktop software is designed using the microcontroller software a ...Daha fazlası

Konferans Bildirisi 2017 6 Görüntülenme
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