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Öğe An Application on Mobile Devices with Android and IOS Operating Systems Using Google Maps APIs for the Traveling Salesman Problem(Taylor & Francis Inc, 2017) Ilhan, IlhanNowadays, the Traveling Salesman Problem (TSP) is one of the most studied combinational optimization problems that researchers study. Although it is easy to define, its solution is hard. Therefore, it is one of the NP-hard problems in the research literature. It can be used to solve real-life problems such as route planning and scheduling, and transportation and logistics applications. In this study, for TSP, an interface that can run on mobile devices using Android and IOS operating systems is developed. Real-world data are used online by the interface. Locations, and the distance between them, are obtained instantly by Google Maps APIs. Genetic (GA) and ant colony optimization (ACO) algorithms are used to solve the TSP. Furthermore, users have also been allowed to conduct trials for different parameter values. The application developed has been tested on two different datasets. The test results show that for the determination of the optimum route, the ACO algorithm is better than the GA. However, when considering the run times, GA works much faster than ACO.Öğe A cross-platform test tool for digital image processing(Springer, 2021) Ilhan, IlhanImage processing is one of the current research topics widely used in different engineering fields. Therefore, it is taught as a lesson under different names in various engineering departments. In-class applications are usually done through programs that depend on desktop platforms such as Windows, Linux or MacOS. These platforms, which self or its camera are fixed, can only take real time images with limited mobility. It is difficult to apply image processing algorithms for real time images and make comparisons. In this study, a cross-platform test tool for image processing was developed. This tool can work on desktop platforms such as Windows and MacOS, as well as mobile platforms such as Android and IOS. Thanks to mobile platform support, the real time images can be taken anytime and anywhere. The basic image processing operations can be performed on recorded or real time images. The resulting images can be recorded. Thus, a test environment is provided to apply and compare different methods and algorithms.Öğe Development of a wireless blood pressure measuring device with smart mobile device(Elsevier Ireland Ltd, 2016) Ilhan, Ilhan; Yildiz, Ibrahim; Kayrak, MehmetToday, smart mobile devices (telephones and tablets) are very commonly used due to their powerful hardware and useful features. According to an eMarketer report, in 2014 there were 1.76 billion smartphone users (excluding users of tablets) in the world; it is predicted that this number will rise by 15.9% to 2.04 billion in 2015. It is thought that these devices can be used successfully in biomedical applications. A wireless blood pressure measuring device used together with a smart mobile device was developed in this study. By means of an interface developed for smart mobile devices with Android and iOS operating systems, a smart mobile device was used both as an indicator and as a control device. The cuff communicating with this device through Bluetooth was designed to measure blood pressure via the arm. A digital filter was used on the cuff instead of the traditional analog signal processing and filtering circuit. The newly developed blood pressure measuring device was tested on 18 patients and 20 healthy individuals of different ages under a physician's supervision. When the test results were compared with the measurements made using a sphygmomanometer, it was shown that an average 93.52% accuracy in sick individuals and 94.53% accuracy in healthy individuals could be achieved with the new device. (C) 2015 Elsevier Ireland Ltd. All rights reserved.Öğe An effective method based on simulated annealing for automatic generation control of power systems(Elsevier, 2022) Tabak, Abdulsamed; Ilhan, IlhanIn this study, a novel hybrid Simulated Annealing-Genetic Algorithm (hSA-GA) is proposed. In the hSA-GA, population-based SA is used and each solution in the population is improved using the local search operator. The information exchange between the improved solutions is provided by the crossover operator. A new selection operator is used to ensure the balance between intensification and diversification. The hSA-GA is tested first on nine benchmark functions. Then it is used for tuning proportional-integral-derivative (PID) parameters for automatic generation control (AGC) of multi-area interconnected power systems. Firstly, PID parameters are determined with hSA-GA on a two-area interconnected non-reheating thermal system (System-1) in two different generator time constants. Secondly, to demonstrate the effect of supplementary control in AGC systems, the system is simulated with hSA-GA tuned PID controller and without controller. Additionally, the performance of the proposed hSA-GA is observed on AGC system of two area thermal power system with governor dead-band (GDB) nonlinearity (System-2). Transient responses of delta f(1), delta f(2) and delta P-tie obtained for both System-1 and System-2 are compared with studies on the same systems in the literature and it is seen that hSA-GA exhibits better control performance on power systems than compared studies. The proposed algorithm shows the best performance in System-1 (when T-g = 0.08). Accordingly, settling times of delta f(1), delta f(2) and delta P-tie are reduced to 2.33 s, 3.783 s and 3.11 s, respectively. Finally, the non-linear two area thermal power system is tested with a load varying between +/- 50% for 180 s to validation of proposed algorithm and results are compared relevant studies. (C) 2022 Elsevier B.V. All rights reserved.Öğe An improved simulated annealing algorithm with crossover operator for capacitated vehicle routing problem(Elsevier, 2021) Ilhan, IlhanThe capacitated vehicle routing problem (CVRP) is one of the commonly studied issues today. It belongs to the class of NP-hard problems and has a high time complexity. Therefore, the solution of the CVRP was focused in this study. An improved simulated annealing algorithm with crossover operator, called ISA-CO, was proposed. A population based simulated annealing algorithm was used in the proposed algorithm. The solutions in the popu-lation were developed through the local search operators, including swap, scramble, insertion, and reversion. The improved 2-opt algorithm was used to develop the routes making up the solution. The partially mapped crossover (PMX) and the order crossover (OX) operators were applied to the solutions in the population to accelerate the convergence. A mix selection method was used to ensure the balance between exploitation and exploration. The ISA-CO was tested on 91 well-known benchmark instances. The results indicated that the method has a better performance compared to other state-of-the-art methods on many instances.Öğe A list-based simulated annealing algorithm with crossover operator for the traveling salesman problem(Springer London Ltd, 2022) Ilhan, Ilhan; Gokmen, GaziThe traveling salesman problem (TSP) is one of the most popular combinatorial optimization problems today. It is a problem that is easy to identify but hard to solve. Therefore, it belongs to the class of NP-hard optimization problems, and it is a problem of high time complexity. The TSP can be used to solve various real-world problems. Therefore, researchers use it as a standard test bench for performance evaluation of new algorithms. In this study, a new simulated annealing algorithm with crossover operator was proposed, and it was called LBSA-CO. The LBSA-CO is a population-based metaheuristic method. In this method, a list-based temperature cooling schedule, which can adapt to the topology of the solution space of the problem, was used. The solutions in the population were improved with the inversion, insertion and 2-opt local search operators. The order crossover (OX1) and genetic edge recombination crossover (ER) operators were applied to the improved solutions to accelerate the convergence. In addition, the Taguchi method was used to tune the parameters of the LBSA-CO. The proposed method was tested on 65 well-known TSP instances. The results indicated that this method performs better than the state-of-the-art methods on many instances.Öğe Mobile Device Based Test Tool for Optimization Algorithms(Wiley, 2016) Ilhan, IlhanOptimization can be defined as the operation of finding the best solution for a problem. This operation is performed by changing the initial parameters using existing data. There are various optimization algorithms to solve these kinds of problems; however, it cannot be expected that all optimization algorithms offer a proper and effective solution to all optimization problems. Therefore, it is necessary to select the proper algorithm by using similar benchmark functions to the problem, and to determine the best parameter values for the selected algorithm. In this study, a test tool that can run on the devices using the Windows, OS X, Android, and IOS operating systems was developed for eight different optimization algorithms: genetic, artificial immune, differential evolution, particle swarm optimization, simulated annealing, tabu search, artificial bee colony, and ant colony optimization algorithms. Six Hump Camel Back, Rastrigin, Shubert, Schwefel, and Drop Wave were the preferred benchmark functions. Special user defined special functions were also permitted. The developed test tool was tested for all the optimization algorithms in different platforms. In spite of the small differences in the running times, the results show that the tool can easily be used in Windows, OS X, Android, and IOS devices. (C) 2016 Wiley Periodicals, Inc.Öğe Performance comparison of optimization algorithms in LQR controller design for a nonlinear system(Tubitak Scientific & Technological Research Council Turkey, 2019) Onen, Umit; Cakan, Abdullah; Ilhan, IlhanThe development and improvement of control techniques has attracted many researchers for many years. Especially in the controller design of complex and nonlinear systems, various methods have been proposed to determine the ideal control parameters. One of the most common and effective of these methods is determining the controller parameters with optimization algorithms.In this study, LQR controller design was implemented for position control of the double inverted pendulum system on a cart. First of all, the equations of motion of the inverted pendulum system were obtained by using Lagrange formulation. These equations were linearized by Taylor series expansion around the equilibrium position to obtain the state-space model of the system. The LQR controller parameters required to control the inverted pendulum system were determined by using a trial and error method. The determined parameters were optimized by using five different configurations of three different optimization algorithms (GA, PSO, and ABC). The LQR controller parameters obtained as a result of the optimization study with five different configurations of each algorithm were applied to the system and the obtained results were compared with each other. In addition, the configurations that yielded the best control results for each algorithm were compared with each other and the control results were evaluated in terms of response speed and response smoothness.Öğe A population based simulated annealing algorithm for capacitated vehicle routing problem(Tubitak Scientific & Technological Research Council Turkey, 2020) Ilhan, IlhanThe Vehicle Routing Problem (VRP) is one of the most discussed and researched topics nowadays. The VRP is briefly defined as the problem of identifying the best route to reduce distribution costs and improve the quality of service provided to customers. The Capacitated VRP (CVRP) is one of the most commonly researched among the VRP types. Therefore, the CVRP was studied in this paper and a new population based simulated annealing algorithm was proposed. In the algorithm, three different route development operators were used, which are exchange, insertion and reversion operators. It was tested on 63 well-known benchmark instances in the literature. The results showed that the optimum routes could be determined for the 23 instances.Öğe Predicting protein-protein interactions by weighted pseudo amino acid composition(Inderscience Enterprises Ltd, 2016) Goktepe, Yunus Emre; Ilhan, Ilhan; Kahramanli, SirzatProtein-protein interactions hold very important roles in biological processes. Prediction of PPIs is important for understanding these processes. In this context, substantive representations of proteins are needed during the process of interaction prediction in order to achieve higher prediction accuracy. In this paper, a new feature representation method, based on the concept of Chou's pseudo amino acid composition, was introduced. It is composed of the weighted amino acid composition information and the correlation factors of the protein. Finally, an SVM classification model was constructed for predicting PPIs. Experimental results exhibit that our method precedes those previously published in the literature.Öğe Predicting protein-protein interactions by weighted pseudo amino acid composition(Inderscience Enterprises Ltd, 2016) Goktepe, Yunus Emre; Ilhan, Ilhan; Kahramanli, SirzatProtein-protein interactions hold very important roles in biological processes. Prediction of PPIs is important for understanding these processes. In this context, substantive representations of proteins are needed during the process of interaction prediction in order to achieve higher prediction accuracy. In this paper, a new feature representation method, based on the concept of Chou's pseudo amino acid composition, was introduced. It is composed of the weighted amino acid composition information and the correlation factors of the protein. Finally, an SVM classification model was constructed for predicting PPIs. Experimental results exhibit that our method precedes those previously published in the literature.Öğe Smart blood pressure holter(Elsevier Ireland Ltd, 2018) Ilhan, IlhanBackground and Objective: In this study, a wireless blood pressure holter that can be used with smart mobile devices was developed. The developed blood pressure holter consists of two parts, which are a smart mobile device and a cuff. The smart mobile device is used as a recording, control and display device through a developed interface, while the cuff was designed to take measurements from the arm.& para;& para;Methods: Resistor-Capacitor (RC) and digital filters were used on the cuff that communicates with the smart mobile device via Bluetooth. The blood pressure was estimated using the Simple Hill Climbing Algorithm (HCA). It is possible to measure instantaneous or programmable blood pressure and heart rate values at certain intervals using this holter.& para;& para;Results: The test was conducted with 30 individuals at different ages with the guidance of a specialist health personnel. The results showed that an accuracy at 93.89% and 91.95% rates could be obtained for systolic and diastolic pressure values, respectively, when compared with those obtained using a traditional sphygmomanometer. The accuracy level for the heart rate was measured as 97.66%. Furthermore, this device was tested day and night in the holter mode in terms of working time, the continuity of the Bluetooth connection and the reliability of the measurement results.& para;& para;Conclusions: The test results were evaluated separately in terms of measurement accuracy, working time, the continuity of the Bluetooth connection and the reliability of the measurement results. The measurement accuracy for systolic, diastolic blood pressure and heart rate values was obtained as 93.89%, 91.95% and 97.66%, respectively. The maximum number of measurements which can be conducted with four 1000 mA alkaline batteries at 20 min intervals was found approximately 79 (little more than 24 h). In addition, it was determined that the continuity of the Bluetooth connection and the reliability of the measurement results were automatically achieved through the features in the interface developed for the smart mobile device. These different evaluations showed that the smart blood pressure holter can meet the requirements of a classical holter device. (C) 2017 Elsevier B.V. All rights reserved.Öğe Tag SNP selection using clonal selection and majority voting algorithms(Inderscience Enterprises Ltd, 2016) Ilhan, Ilhan; Tezel, GulayResearchers should select a suitable subgroup that includes all SNPs and represents the rest of the SNPs with little error for very large-scale association studies. The SNPs included in the subgroup are tag SNPs or haplotype tag SNPs (htSNPs). When selecting the tag SNPs, it is critical to accurately predict and identify the smallest number of tag SNPs with minimum error. This study used the Clonal Selection Algorithm (CLONALG) to decide on the tag SNPs to be included in the subgroup. In addition, the study proposed a new method called CSMV, which used the Majority Voting (MV) method to predict the rest of the SNPs. This method was compared with the BPSO method and the CLONTagger with parameter optimisation method using datasets of different sizes. According to the experimental results of the study, the CSMV method could determine the tag SNPs with significantly higher accuracy than the other two methods.Öğe Tag SNP selection using clonal selection and majority voting algorithms(Inderscience Enterprises Ltd, 2016) Ilhan, Ilhan; Tezel, GulayResearchers should select a suitable subgroup that includes all SNPs and represents the rest of the SNPs with little error for very large-scale association studies. The SNPs included in the subgroup are tag SNPs or haplotype tag SNPs (htSNPs). When selecting the tag SNPs, it is critical to accurately predict and identify the smallest number of tag SNPs with minimum error. This study used the Clonal Selection Algorithm (CLONALG) to decide on the tag SNPs to be included in the subgroup. In addition, the study proposed a new method called CSMV, which used the Majority Voting (MV) method to predict the rest of the SNPs. This method was compared with the BPSO method and the CLONTagger with parameter optimisation method using datasets of different sizes. According to the experimental results of the study, the CSMV method could determine the tag SNPs with significantly higher accuracy than the other two methods.Öğe Tag SNP Selection Using Similarity Associations Between SNPs(IEEE, 2015) Ilhan, Ilhan; Tezel, Gulay; Ozcan, CengizGenetic changes that may be associated with complex diseases are tried to be determined by means of many genome-wide association studies. Single Nucleotide Polymorphisms ( SNPs) are used primarily in these studies since they comprise a large part of these genetic changes. Statistical importance of the genome-wide association study is directly related to the number of individuals and SNPs. However, it is still very costly and time-consuming to genotype all SNPs inside the candidate area for many individuals in very large-scale association studies. For this reason, with a small error, it is necessary to select an appropriate subset of all SNPs that will represent the rest of SNPs. These selected SNPs are called tag SNPs or haplotype tag SNPs ( tag SNPs or htSNPs). It is essential in tag SNP selection to determine minimum tag SNP set with very good prediction accuracy. In this study, while Clonal Selection Algorithm ( CLONALG) was used as tag SNP selection method, a new method named CLONSim, in which similarity association between SNPs was used as the prediction method for the rest of SNPs was proposed. The proposed method was compared with BPSO ( Binary Particle Swarm Optimization) and CLONTagger methods with parameter optimization using datasets of different sizes. Experiment results showed that the proposed method could identify tag SNPs significantly faster.
