Yazar "Duzenli, Timur" için listeleme
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Bound Estimates for the Derivative of Driving Point Impedance Functions
Ornek, Bulent Nafi; Duzenli, Timur (UNIV NIS, FAC SCI MATH, 2018)In this paper, a boundary analysis is carried out for the derivative of driving point impedance functions, which is mainly used for synthesis of networks containing RL, RC and RLC circuits. It is known that driving point ... -
Boundary Analysis for the Derivative of Driving Point Impedance Functions
Ornek, Bulent Nafi; Duzenli, Timur (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2018)Four theorems are presented in this brief by performing boundary analysis of the derivative of driving point impedance functions evaluated at the origin. Also, the circuits corresponding to these driving point impedance ... -
Circuit Applications of Schwarz-Pick Lemma
Duzenli, Timur (Ieee-Inst Electrical Electronics Engineers Inc, 2022)In this brief, the relation between Schwarz-Pick lemma and driving point impedance function is investigated. Schwarz-Pick lemma is given as the generalized version of Schwarz lemma. Here, a generic driving point impedance ... -
Improved honey badger algorithms for parameter extraction in photovoltaic models
Duzenli, Timur; Onay, Funda Kutlu; Aydemir, Salih Berkan (Elsevier Gmbh, 2022)Precise estimation of the parameter values of solar models is very essential for optimization of solar systems. Many studies that use metaheuristic algorithms have recently been proposed for parameter estimation and ... -
A New Method of Spectrum Sensing in Cognitive Radio for Dynamic and Randomly Modelled Primary Users
Duzenli, Timur; Akay, Olcay (TAYLOR & FRANCIS LTD, 2019)In this study, a new spectrum sensing method for cognitive radio (CR) is proposed for primary user (PU) signals which are modelled as random with unknown power. It is also assumed that, being dynamic, the PU might exhibit ... -
A novel version of slime mould algorithm for global optimization and real world engineering problems Enhanced slime mould algorithm
Ornek, Bulent Nafi; Aydemir, Salih Berkan; Duzenli, Timur; Ozak, Bilal (Elsevier, 2022)The slime mould algorithm is a stochastic optimization algorithm based on the oscillation mode of nature's slime mould, and it has effective convergence. On the other hand, it gets stuck at the local optimum and struggles ... -
On boundary analysis for derivative of driving point impedance functions and its circuit applications
Ornek, Bulent Nafi; Duzenli, Timur (INST ENGINEERING TECHNOLOGY-IET, 2019)In this study, a boundary analysis is carried out for the derivative of driving point impedance (DPI) functions, which is mainly used for the synthesis of networks containing resistor-inductor, resistor-capacitor and ... -
Schwarz lemma for driving point impedance functions and its circuit applications
Ornek, Bulent Nafi; Duzenli, Timur (WILEY, 2019)In this paper, a boundary version of the Schwarz lemma is investigated for driving point impedance functions and its circuit applications. It is known that driving point impedance function, Z(s) = 1 + c(p)(s - 1)(p) + c(p ... -
Sharp Inequalities for Driving Point Impedance Functions
Azeroglu, Tahir Aliyev; Ornek, Bulent Nafi; Duzenli, Timur (Ieee-Inst Electrical Electronics Engineers Inc, 2023)In this brief, positive real functions are considered as driving point impedance functions, Z(s), which are utilized in electrical engineering for characteristic representation of circuits. Accordingly, for the real part ... -
SIMPLE AND EFFICIENT PREDICTION OF NEAR FUTURE STATE OF TRAFFIC USING ONLY PAST SPEED INFORMATION
Kababulut, Fevzi Yasin; Kuntalp, Damla; Akay, Olcay; Duzenli, Timur (SVENCILISTE U ZAGREBU, FAKULTET PROMETNIH ZNANOSTI, 2018)Intelligent traffic systems attempt to solve the problem of traffic congestion, which is one of the most important environmental and economic issues of urban life. In this study, we approach this problem via prediction of ... -
Some remarks on activation function design in complex extreme learning using Schwarz lemma
Ornek, Bulent Nafi; Aydemir, Salih Berkan; Duzenli, Timur; Ozak, Bilal (Elsevier, 2022)Processing of complex valued data has become a challenge issue in classification problems where artificial neural networks are used as the classifier. This issue particularly arises in design of complex valued activation ...
