Mühendislik ve Doğa Bilimleri Fakültesi by Institution Author "Özmen, Atilla"
Now showing items 1-20 of 24
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Amplitude and Frequency Modulations with Cellular Neural Networks
Tander, Baran; Özmen, Atilla (Springer, 2015)Amplitude and frequency modulations are still the most popular modulation techniques in data transmission at telecommunication systems such as radio and television broadcasting gsm etc. However the architectures of these ... -
Channel Equalization with Cellular Neural Networks
Özmen, Atilla; Tander, Baran (IEEE, 2010)In this paper a dynamic neural network structure called Cellular Neural Network (CNN) is employed for the equalization in digital communication. It is shown that this nonlinear system is capable of suppressing the effect ... -
Channel Estimation for Realistic Indoor Optical Wireless Communication in ACO-OFDM Systems
Özmen, Atilla; Şenol, Habib (Springer, 2018)In this paper channel estimation problem in a visible light communication system is considered. The information data is transmitted using asymmetrical clipped optical orthogonal frequency division multiplexing. Channel ... -
Correlation of Experimental Liquid-Liquid Equilibrium Data for Ternary Systems Using NRTL and GMDH-Type Neural Network
Bekri, Sezin; Özmen, Dilek; Özmen, Atilla (Amer Chemical Soc, 2017)In this work liquid liquid equilibrium (LLE) data for the ternary systems (water + propionic acid + solvent) were experimentally obtained at atmospheric pressure and 298.2 K. The ternary systems show type-1 behavior of ... -
Correlation of ternary liquid--liquid equilibrium data using neural network-based activity coefficient model
Özmen, Atilla (Springer, 2014)Liquid--liquid equilibrium (LLE) data are important in chemical industry for the design of separation equipments and it is troublesome to determine experimentally. In this paper a new method for correlation of ternary LLE ... -
Design and Implementation of a Cellular Neural Network Based Oscillator Circuit
Tander, Baran; Özmen, Atilla; Özçelep, Yasin (World Scientific and Engineering Acad and Soc, 2009)In this paper, a novel inductorless oscillator circuit with negative feedbacks, based on a simple version of a "Cellular Neural Network" (CNN) called "CNN with an Opposite Sign Template" (CNN-OST) is designed and implemented. ... -
Design and implementation of a negative feedback oscillator circuit based on a Cellular Neural Network with an Opposite Sign Template
Tander, Baran; Özmen, Atilla; Özçelep, Yasin (2010)In this paper explicit amplitude and frequency expressions for a Cellular Neural Network with an Opposite-Sign Template (CNN-OST) under oscillation condition are derived and a novel inductorless oscillator circuit with ... -
Design of low-pass ladder networks with mixed lumped and distributed elements by means of artificial neural networks
Şengül, Metin Y.; Özmen, Atilla; Yılmaz, Melek (AVES YAYINCILIK, 2003)In this paper, calculation of parameters of low-pass ladder networks with mixed lumped and distributed elements by means of artificial neural networks is given. The results of ANN are compared with the values that are ... -
Detection of Trojans in integrated circuits
Baktır, Selçuk; Güçlüoğlu, Tansal; Özmen, Atilla; Alsan, Hüseyin Fuat; Macit, Mustafa Can (IEEE, 2012)This paper presents several signal processing approaches in Trojan detection problem in very large scale integrated circuits. Specifically wavelet transforms spectrograms and neural networks are used to analyze power ... -
Edge detection using steerable filters and CNN
Özmen, Atilla; Akman, Emir Tufan (European Signal Processing Conference EUSIPCO, 2002)This paper proposes a new approach for edge detection using steerable filters and cellular neural networks (CNNs) where the former yields the local direction of dominant orientation and the latter provides iterative ... -
The Effect of Data Augmentation on ADHD Diagnostic Model using Deep Learning
Çiçek, Gülay; Özmen, Atilla; Akan, Aydin (IEEE, 2019)Attention Deficit Hyperactivity Disorder (ADHD) is a neuro-behavioral hyperactivity disorder. It is frequently seen in childhood and youth, and lasts a lifetime unless treated.The ADHD classification model should be objective ... -
Fault estimation of Trakya and Marmara Sea regions using 2D Gabor filtering [2 boyutlu gabor filtre yöntemi uygulayarak Trakya ve Marmara denizindeki fay hatlarının saptanması]
In this paper we have applied 2D Gabor filtering to gravity and magnetic anomalies in estimation of discontinuities. Gabor filtering is an effective separation method compared to others having steerable and frequency ... -
Genetic algorithm based broadband equalizer design with ripple level control
Şengül, Metin Y.; Özmen, Atilla (IEEE, 2012)In this paper broadband equalizer design with ripple control via genetic algorithm has been studied. The equalizer is defined as a lossless two-port terminated by load impedance and the coefficients of its describing ... -
Liquid-liquid equilibria of water+propionic acid+solvent ternaries at 298.2 K
Özmen, Dilek; Özmen, Atilla (2006)(Liquid + liquid) equilibrium (LLE) data for (water + propionic acid + solvent) were measured at T= 298.2 K and atmospheric pressure. The solvents were methyl isoamyl ketone (5-methyl-2-hexanone) and diisobutyl ketone. The ... -
Mobile Application Development for the Estimation of Recurrence in Post-Operative Kidney Cancer Cases
Tander, Baran; Özmen, Atilla; Ozden, Ender (IEEE, 2018)In this paper a post-operative recurrence estimation tool called Sorbellini's nomogram for the kidney cancer patients showing no metastates is introduced and a novel application for mobile devices based on this model is ... -
Neural Network Design for the Recurrence Prediction of Post-Operative Non-Metastatic Kidney Cancer Patients
Tander, Baran; Özmen, Atilla; Özden, Ender (Institute of Electrical and Electronics Engineers Inc., 2016)In this paper various post-operative recurrence estimation models called nomograms for the kidney cancer patients without any metastates are introduced and novel systems based on a Multilayer Perceptron Neural Network are ... -
A numerical method for frequency determination in the astable cellular neural networks with opposite-sign templates
Özmen, Atilla; Tander, Baran (IEEE, 2006)In this study a numerical method is proposed to determine the oscillation frequencies in the astable cellular neural networks with opposite-sign templates [1]. This method depends on the training of a multilayer perceptron ... -
Realization of ideal filter characteristics via genetic algorithm
Şengül, Metin Y.; Özmen, Atilla (2011)In this paper realization of ideal filter characteristics via genetic algorithm has been studied. The filter is defined as a lossless two-port terminated normalized source and load resistances and the coefficients of its ... -
RGB Color Based Occupancy Rate Detection of Indoor Spaces
Gilik, Ayşenur; Demir, Kubilay; Özmen, Atilla (IEEE, 2018)In this study, a system has been developed to detect the human density of indoor spaces such as libraries, banks, shopping malls. The RGB images used in this work was obtained from the real-life space. First and second ... -
RGB color based occupancy rate detection of indoor spaces [RGB renk tabanlı kapalı mekanların doluluk oranının belirlenmesi]
Gilik, Ayşenur; Demir, Kubilay; Özmen, Atilla (Institute of Electrical and Electronics Engineers Inc., 2018)In this study a system has been developed to detect the human density of indoor spaces such as libraries banks shopping malls. The RGB images used in this work was obtained from the real-life space. First and second order ...