Tander, Baran

Tander, Baran

Name Variants

Tander, Baran
B.,Tander
B. Tander
Baran, Tander
Tander, Baran
B.,Tander
B. Tander
Baran, Tander
Tander, B

Job Title

Dr. Öğr. Üyesi

Email Address

Tander@khas.edu.tr

Main Affiliation

Computer Engineering

Status

Former Staff

Full item page

Scholarly Output

12

Articles

3

Citation Count

0

Supervised Theses

1 Scholarly Output Search Results

Now showing 1 - 10 of 12

Hücresel Sinir Ağları için Gerilim Kaynaklı Hücre Modelleri
(AVES YAYINCILIK, 2001) Tander, Baran; Tander, Baran; Ün, Mahmut
Bu makalede, bağımsız ve bağımlı gerilim kaynağı tabanlı yeni bir Hücresel Sinir Ağı hücre devresi önerilmiştir. Bu modelde akım kaynaklı Chua ve Yang ‘ın klasik hücre devresinin aksine hücreler için denge noktaları dinamik birimdeki Rx ve Cx’ den bağımsızdırlar. Tam bir hücre devresi tasarlanıp kararlı ve kararsız durumlar için benzetimleri yapılmıstır. Önerilen modelin avantaj ve dezavantajları sonuçlar bölümünde tartışılmıştır.
Citation - WoS: 1
Design and Implementation of a Cellular Neural Network Based Oscillator Circuit
(World Scientific and Engineering Acad and Soc, 2009) Tander, Baran; Tander, Baran; Özmen, Atilla; Özmen, Atilla; Özçelep, Yasin
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. The system is capable of generating quasi-sine oscillations with tuneable amplitude and frequency which can't be provided at the same time in the conventional oscillator circuits.
Citation - WoS: 0
A Numerical Method for Frequency Determination in the Astable Cellular Neural Networks With Opposite-Sign Templates
(IEEE, 2006) Özmen, Atilla; Özmen, Atilla; Tander, Baran; Tander, Baran
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 that uses various template coefficients and the correspondant frequency values as inputs and outputs. First of all a frequency surface is obtained from templates and then training samples are picked from this surface in order to apply to multilayer perceptron. The effects of the template coefficients to the oscillation frequencies are also investigated. Furthermore an oscillator design is carried out for simulation and the performance as well as the advantages of the proposed method are evaluated.
Citation - WoS: 0
Citation - Scopus: 3
Smart Stethoscope
(IEEE, 2020) Türker, Mehmet Nasuhcan; Çevik, Mesut; Çagan, Yagiz Can; Özmen, Atilla; Yıldırım, Batuhan; Tander, Baran; Demirel, Mücahit; Özmen, Atilla; Tander, Baran; Çevik, Mesut
In this study, a device named smart stethoscope that uses digital sensor technology for sound capture, active acoustics for noise cancellation and artificial intelligence (AI) for diagnosis of heart and lung diseases is developed to help the health workers to make accurate diagnoses. Furthermore, the respiratory diseases are classified by using Deep Learning and Long Short-Term Memory (LSTM) techniques whereas the probability of these diseases are obtained.
Citation - WoS: 0
Analytical Approaches for the Amplitude and Frequency Computations in the Astable Cellular Neural Networks With Opposite Sign Templates
(IEEE, 2007) Tander, Baran; Tander, Baran; Özmen, Atilla; Özmen, Atilla
In this paper, by using surface fitting methods, analytical approaches for amplitudes and frequencies of the x(1,2)(t) "States" in a simple dynamical neural network called "Cellular Neural Network with Opposite Sign Templates" which was proposed by Zou and Nossek [1], are obtained under oscillation conditions. The mentioned explicit expressions are employed in a cellular neural network based, amplitude and frequency tuneable oscillator design.
Citation - WoS: 0
Citation - Scopus: 1
Channel Equalization With Cellular Neural Networks
(IEEE, 2010) Özmen, Atilla; Özmen, Atilla; Tander, Baran; Tander, Baran
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 of intersymbol interference (ISI) and the noise at the channel. The architecture is a small-scaled simple CNN containing 9 neurons thus having only 19 weight coefficients. Proposed system is compared with linear transversal filters as well as with a Multilayer Perceptron (MLP) based equalizer.
Citation - WoS: 0
Citation - Scopus: 0
Mobile Application Development for the Estimation of Recurrence in Post-Operative Kidney Cancer Cases
(IEEE, 2018) Tander, Baran; Tander, Baran; Özmen, Atilla; Özmen, Atilla; Ozden, Ender
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 developed for the physician's follow up procedures. The TNM stage tumor size nuclear (Fuhrman) grade the existance of necrosis and vascular invasion are employed as the input parameters for this software to predict the recurrence probability in mentioned patients. Finaly the performance analyses are carried out to verify the reliability of the application.
Citation - WoS: 0
Citation - Scopus: 0
Amplitude and Frequency Modulations With Cellular Neural Networks
(Springer, 2015) Tander, Baran; Tander, Baran; Özmen, Atilla; Özmen, Atilla
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 individual systems are totally different. In this paper it is shown that a cellular neural network with an opposite-sign template can behave either as an amplitude or a frequency modulator. Firstly a brief information about these networks is given and then the amplitude and frequency surfaces of the generated quasi-sine oscillations are sketched with respect to various values of their cloning templates. Secondly it is proved that any of these types of modulations can be performed by only varying the template components without ever changing their structure. Finally a circuit is designed simulations are presented and performance of the proposed system is evaluated. The main contribution of this work is to show that both amplitude and frequency modulations can be realized under the same architecture with a simple technique specifically by treating the input signals as template components.
Simple and Accurate Cell Macromodels for the Simulations of Cellular Neural Networks
(AVES YAYINCILIK, 2002) Tander, Baran; Tander, Baran; Ün, Mahmut
In this paper, two simple and accurate cell macromodels for PSPICE simulations of Cellular Neural Networks (CNNs) are designed. Firstly, a brief information about CNNs and their benefits are introduced. Then the nonlinear differential equations that characterize the CNNs and the equivalent cell circuit given by Chua and Yang which realizes these equations are presented. With appropriate source transformations, another cell equivalent that employs voltage controlled-voltage sources instead of voltage controlled-current sources is developed. By substituting the dependent sources with their actual circuits for both equivalents, complete systems which are suitable for PSPICE macromodeling are derived. Responses of astable and stable CNNs are analyzed with the proposed macromodels and satisfactory results are observed after the simulations. The benefits and drawbacks of the macromodels are also discussed in the conclusion section.
Citation - Scopus: 4
Design and Implementation of a Negative Feedback Oscillator Circuit Based on a Cellular Neural Network With an Opposite Sign Template
(2010) Tander, Baran; Özmen, Atilla; Özmen, Atilla; Tander, Baran; Özçelep, Yasin
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 negative feedbacks based on this simple structure is designed and implemented. The system is capable of generating quasi-sine signals with tuneable amplitude and frequency which can't be provided at the same time in the classical oscillator circuits.