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    Examination of Resistive Switching Energy of Some Nonlinear Dopant Drift Memristor Models
    (Soc Microelectronics, Electron Components Materials-Midem, 2024) Tan, Rabia Korkmaz; Mert, Oya; Mutlu, Resat
    In the literature, there are memristor models based on nonlinear drift mechanisms and window functions. Memristors can be employed to model resistive memories. When the resistance of a memristor undergoes a transition from its lowest value to its highest value, or vice versa, this phenomenon is referred to as resistive or memristive switching. The energy required for this transition holds particular importance, especially in the context of resistive computer memory and digital logic applications. Experimental measurements can be used to determine the resistive switching energy, and it should also be possible to calculate it theoretically based on the parameters of the memristor model utilized. Recently, the resistive switching times of some of the nonlinear dopant drift memristor models have been examined analytically considering especially their memory and digital circuit applications. In the literature, to the best of our knowledge, the resistive switching energy of the nonlinear dopant drift memristor models has not been calculated and examined in detail. In this study, the memristive switching energy of some of the well-known memristor models using a window function is calculated and found to be infinite. This is not feasible according to the experiments in which a finite resistive switching energy is consumed. The criterion that a memristor must have a finite resistive energy is also presented in this study. The results and the criterion for the resistive switching energy presented in this paper can be utilized to build more realistic memristor models in the future.
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    STM32F429 Discovery Board-Based Emulator for Lotka-Volterra Equations
    (2021) Karakulak, Ertuğrul; Tan, Rabia Korkmaz; Mutlu, Reşat
    Lotka-Volterra equations are commonly used in prey-predator population studies. Simulation programs are commonly used to produce solutions of Lotka-Volterra equations and to examine their initial value dependendence. In literature, chaotic waveform generators, ECG and EEG generators have been made and used for research and education. To the best of our knowledge, such an electrical circuit to produce the Lotka-Volterra waveforms does not exist. Such a circuit can be made using either analog or digital circuit components. However, such a device may be used for education in classroom and also to prove concepts by population researchers. In this study, implementation and experimental verification of the microcontroller-based circuit which solves Lotka Volterra equations in real time and produces its waveforms are presented. Euler method is used to solve the equation system in discrete time. Presented design has been implemented using an STM32F429 Discovery Board, two DACs and four opamps. The microcontroller sends the signals to the outputs of the circuit using digital-to-analog converters and opamps. The waveforms acquired experimentally from the implemented circuit outputs matches well with those obtained from numerical simulations.
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    Yeni Üretilen XLPE İzolasyonlu Tek Damarlı Bir Güç Kablosunun Kaçak Empedansının Hesabı
    (2024) Çanta, Hakan; Mutlu, Reşat; Tan, Rabia Korkmaz
    Single-core cables are widely used in electric power systems. Their leakage impedance is an important parameter. XLPE is the most common material used as an insulator in power cables. The complex permittivities of XLPE and Copper Polyester tape layers (Mylar) of the cable determine its leakage current. The complex permittivity of XLPE and Copper Polyester tape are functions of both operation frequency and temperature. In a power cable, the temperature varies as a function of radius, which makes the calculation of the leakage impedance difficult. In this study, it is shown how to calculate the leakage impedance of the cable using the data taken from the literature and numerical integration.