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Öğe Detection of RR interval alterations in ECG signals by using first order fractional filter(Institute of Electrical and Electronics Engineers Inc., 2016) Alagoz B.B.; Yeroglu C.; Kavuran G.; Ates A.Sleep apnea syndrome deteriorates sleeping quality and daily performance of many individuals. This study presents utilization of fractional-order low pass filtering for the detection of RR interval alteration from electrocardiogram (ECG) signals. In the case of sleeping apnea, cardiac interbeat intervals prolong and it is viewed as an indication of obstructive sleep apnea state. The prolonged interbeat intervals manifest themselves as the decrease of R peak frequency (increase of RR intervals) in ECG signals. It results in shifting of spectral components composing R peaks towards lower frequencies in energy signal of ECG. In order to detect prolonging interbeat intervals, energy signal calculated from ECG is applied to low-pass fractional-order filter. Transition band of the low-pass filter is used as a ramp filter in order to detect frequency variations in the energy of R peaks. We compare results of the first order fractional-order and integer order low-pass filters and demonstrate that the fractional-order filter can improve the detection performance of low-pass filtering by modifying transition band slope of low-pass filters. © 2016 IEEE.Öğe Disturbance rejection fopid control of rotor by multi-objective bb-bc optimization algorithm(American Society of Mechanical Engineers (ASME), 2017) Ates A.; Alagoz B.B.; Yeroglu C.; Yuan J.; Chen Y.This paper presents a FOPID tuning method for disturbance reject control by using multi-objective BB-BC optimization algorithm. Proposed method allows multi-objective optimization of set-point performance and disturbance rejection performances of FOPID control system. The objective function to be minimized is composed of the weighted sum of MSE for set-point performance and RDR for disturbance rejection improvement. The proposed optimization performs maximization of RDR and minimization of MSE and it can deal with the tradeoff between RDR performance and step-point performance. Application of the method is shown for autotuning of FOPID controller that is employed for control of TRMS model. We observed that low-frequency RDR indices can be used to improve disturbance rejection performance in multi-objective controller tuning problems. Particularly, for flight control application, disturbance reject control is very substantial to robust performance of propulsion systems. © Copyright 2017 ASME.Öğe Farkli sensörlerle yanici gazlarin ölçülmesi ve dinamik modellenmesi(Institute of Electrical and Electronics Engineers Inc., 2019) Kircil O.; Anmaz S.; Mafratoglu B.; Babaoglan H.; Ates A.In this study, lighter gases was measured with different sensors. Measurements were performed under the normal room condition according to different sampling intervals. Data sets were modeled with Matlab system identification toolbox. Generated nonlinear dynamic model was used for making prediction for gas evolution. With this study, early warning system can be proposed by generating gas evaluation models were used for some dangerous gases such as butane, methane. © 2019 IEEE.Öğe Fractional order chaotic model based enhanced equilibrium optimization algorithm for controller design of 3 DOF Hover flight system(American Society of Mechanical Engineers (ASME), 2021) Ates A.; Chen Y.In this study, the K feedback gain vector parameters that are used for the control of three degree of freedom four rotor quadcopter system (3 DOF Hover) are optimized with the Enhanced Equilibrium Optimization Algorithm (E2O). The E2O algorithm is proposed with using parameters obtained from fractional order chaotic oscillator models instead of random variables. The Basic EO algorithm is inspired by volume-mass balance. In EO algorithm, each particle is called a motion that searches a parameter vector space. However, random coefficients derived from uniform distribution are used in the parameters updating process or in the generation of the initial population. The E2O algorithm was proposed by using vectors obtained from fractional order chaotic oscillators instead of stochastic coefficients in the basic Equilibrium optimization algorithm. Genesio Tesi, Rössler, Lotka Volterra fractional-order chaotic oscillator models were used in the E2O algorithm to optimize K feedback gain vector of 3 DOF Hover. The order and initial conditions the fractional chaotic oscillator models were experimentally adjusted for the control of 3 DOF problem. Thus, suitable fractional-order chaotic models for the problem were obtained. The E2O algorithm results are compared with the Stochastic Multi Parameter Optimization (SMDO) and Discreet Stochastic Optimization (DSO) algorithms for the system's pitch, roll and yaw angles. Copyright © 2021 by ASMEÖğe Fractional order filter discretization with marine predators algorithm(American Society of Mechanical Engineers (ASME), 2021) Ates A.; Chen Y.In this study, discrete time models of continuous time fractional order filters are obtained by using the Marine Predators Algorithm (MPA). Marine Predators optimization algorithm is a population-based heuristic method. This method is inspired by the hunting behavior of marine predators. The algorithm works on three basic phases. These phases occur according to the difference or equality of the velocity of the prey and the predator. As it is known, uniform distribution is generally used in stochastic based optimization algorithms. However, in the MPA method, Brownian and Levy distributions are also used as well as uniform distribution. First, continuous time frequency responses of fractional order filters are generated. Then, fourth order discrete time filters are designed that can give similar responses with generated continues time filter frequency responses. Ten parameters were optimized for the design of fourth order discrete time filters numerator and denominator. The Marine Predators method's results are compared with the results of the Fractional order Darwinian Particle Swarm Optimization (FODPSO) algorithm, from which discrete time filters are obtained for two fractional order continuous time filter models. In this way, it has been shown comparatively that the Marine Predators Algorithm can be used in real engineering problems and can do filter discretization better. Copyright © 2021 by ASMEÖğe Problems Experienced in the Literacy Teaching Process by Foreign Students in the First Grade of Primary School(Eurasian Society of Educational Research, 2021) Ayten B.K.; Ates A.The aim of this study is to obtain classroom teachers' views on the problems experienced in the literacy process by foreign students in the first grade of primary school, which constitutes an important part of language acquisition. A qualitative research approach has been adopted in the research. The data were obtained using a semi-structured interview form. With the semi-structured interview form created by the researchers, the opinions of the teachers working in the city center of Malatya in Turkey in the 2017-2018 academic year and having foreign students in their class were received. The data collected in line with the opinions of the teachers were analyzed with content analysis. As a result of the data analyzed, the opinions of the teachers were collected under 5 titles; "The problems experienced by foreign students in the process of adaptation to the school", "The problems experienced by foreign students in the stages of the literacy process", "Teacher’s problems in the education of foreign students", "Teacher’s solutions regarding the problems experienced by foreign students in education", and "System suggestions of teachers for the education of foreign students". Teachers mostly experienced problems in writing during the preparation stage, language-related problems in the perception of the sound, pronunciation problems in reading letters, and comprehension problems in syllable-word-sentence-text creation when starting independent literacy. © 2021 The Author(s).Öğe Sigmoid based PID controller implementation for rotor control(Institute of Electrical and Electronics Engineers Inc., 2015) Ates A.; Alagoz B.B.; Yeroglu C.; Alisoy H.This paper presents a sigmoid based variable coefficient PID (SBVC-PID) controller design for Twin Rotor MIMO System (TRMS). The proposed SBVC-PID controller dynamically changes controller coefficients according to a modified sigmoid function of the error signal. The modified sigmoid function is used to limit variability of PID controller coefficients in a predefined range. In the proposed method, each parameters of PID, namely pk, kt and kd, alter between predefined upper and lower bounds. A modified sigmoid function adjusted by a transition coefficient is used to alter each of the PID parameters between these bound limits. The variable coefficients of SBVC-PID maintain a hypercube in kp, kt and kd parameter space satisfying robust stability of the system. Well-known Kharitonov polynomials are used to ensure that the SBVC-PID coefficient alteration takes place in the robust stability intervals. Due to dynamically change of PID coefficients depending on magnitude of error signal, the control performance can be improved compared to conventional PID control. Performance of SBVC-PID controller is demonstrated via theoretical examples and TRMS rotor control simulations. © 2015 EUCA.Öğe Value Set-Based Numerical Analysis of Robust Stability for Fractional-Order Retarded Quasi-Polynomials with Uncertain Parameters and Uncertain Fractional Orders(Springer Science and Business Media Deutschland GmbH, 2021) Matuš? R.; Senol B.; Alagoz B.B.; Ates A.This example-oriented contribution deals with the value set-based numerical analysis of robust stability for the family of fractional-order retarded quasi-polynomials with both uncertain parameters and uncertain fractional orders. The specific investigated feedback control system consists of the fractional-order PID controller and the controlled plant, represented by a heat transfer process described by the linear time-invariant fractional-order time-delay model with parametric uncertainty (with three uncertain parameters, namely, gain, fractional time constant, and fractional time-delay term, and furthermore two fractional orders). The graphical robust stability analysis is based on the numerical calculation of the value sets and the application of the zero exclusion principle. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
