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Publication Implementation of DBSCAN Method in Star Trackers to Improve Image Segmentation in Heavy Noise Conditions(2023) Nevsan ŞENGİL; Şengil, Nevsan; Türk Hava Kurumu Üniversitesi, Uzay Mühendisliği Bölümü, Ankara, TürkiyeStar trackers are currently the most accurate sensors for determining the attitude of a spacecraft. These sensors comprise not only highly capable optical detectors and processor units but also complicated software solvers. One of the main solvers employed in star trackers is image segmentation. In this study, the aim is to develop a hybrid image segmentation method which is a combination of both global thresholding and density-based spatial clustering of applications with noise (DBSCAN) method to increase detection probability of the stars in heavy noise. Secondly, a sorting algorithm is added to list the detected stars in terms of their brightness to increase the efficiency of the star tracking algorithm. Then, this new approach and two different conventional segmentation methods are applied to the Orion star constellation image polluted with Gaussian, salt and pepper, and uneven background noises. The resulting images of these segmentation methods are compared in terms of denoising capabilities. Although computationally more expensive, the proposed DBSCAN-based hybrid method displays a background pixel recovery performance of 99.5%, compared to Otsu global thresholding and adaptive thresholding methods’ 73.5% and 79.9% recovery values, respectively. Additionally, it has been demonstrated that the sorting algorithm successfully listed the detected stars in accordance with their brightness.Publication A Novel Current-Controlled Oscillator-Based Low-Supply-Voltage Microbolometer Readout Architecture(World Scientific Pub Co Pte Lt, 2020-01-06) Mehmet Ali Gülden; Enver Çavuş; Zencir, ErtanIn this paper, we present a novel, almost-digital approach for bolometer readout circuits to overcome the area and power dissipation bottlenecks of analog-based classical microbolometer circuits. A current-controlled oscillator (CCO)-based analog-to-digital converter (ADC) is utilized instead of a capacitive transimpedance amplifier (CTIA) in the classical readout circuits. This approach, which has not been reported before, both produces the required gain in the bolometer input circuit and directly digitizes the bolometer signal. With the proposed architecture, the need for large capacitances (of the order of 10–15[Formula: see text]pF for each column) at which the current is accumulated in the bolometer circuits and the voltage headroom limitation of classical microbolometer circuits are eliminated. Therefore, the proposed architecture permits to design readout circuits with reduced pixel pitch and lower power supply, both of which in turn lead to higher-resolution Focal Plane Arrays (FPAs) with lower power dissipation. The new architecture is modeled and simulated using a 180-nm CMOS process for sensitivity, noise performance, and power dissipation. Unlike the 3.3-V power supply usage of classical readout circuits, the proposed design utilizes 1.2-V analog and 0.9-V digital supply voltages with a power dissipation of almost half of the classical approach.Publication On- and off-optical-resonance dynamics of dielectric microcylinders under plane wave illumination(OPTICAL SOC AMER, 2015) Mahariq, I.; Kurt, H.; TOBB Ekonomi ve Teknoloji University; Turkish Aeronautical Association; Turk Hava Kurumu UniversityWe explore the on-resonance and off-resonance optical response of dielectric cylinders excited by normal incident plane waves. Both the analytical method, based on Mie theory, and the numerical method, implemented with the spectral element method, are undertaken in the study. We demonstrate that the whispering gallery mode characteristic of resonance behavior is strongly dependent on the refractive index and radius changes. Detuning of either parameter deteriorates the resonance action and creates yet another exciting phenomenon known as photonic nanojets. The subwavelength light focusing property can be associated with nanojets, and engineering the parameters yields strong field confinement and slowly diffracting beam propagation. The current work investigates the optical properties of the dielectric microcylinders at close proximity to the resonance condition. Both strong field focusing associated with photonic nanojets and enhanced field localization linked with the resonance condition are desired for photon manipulation scenarios in nanophotonics. (C) 2015 Optical Society of AmericaPublication Characterizations of self-assembly of peptides and self-assembled peptide nanonetworks(AMER CHEMICAL SOC, 2014) Cinar, Goksu; Tekin, Emine Deniz; Guler, Mustafa Ozgur; Tekin, Emine Deniz; Ihsan Dogramaci Bilkent University; Turk Hava Kurumu University; Turkish Aeronautical AssociationPublication Spectroscopic and DFT study on molecular structure of 1-(o-tolyl) thiourea molecule(ELSEVIER, 2020) Bahceli, Semiha; Sarikaya, Ebru Karakas; Dereli, Omer; Ozturan, Feride Pinar; Turk Hava Kurumu University; Turkish Aeronautical Association; Necmettin Erbakan UniversityThe molecule 1-(o-Tolyl)thiourea, (C-8 H-10 N-2 S), which is biologically active, was investigated experimentally using the infrared and Raman spectroscopies and theoretically by performing at the B3LYP/6-311++G (d,p) level of theory. In this framework, the geometrical conformational analysis of the title molecule pointed out the most stable conformation with the energy of -818.732369 Hartree and the dipole moment of 5.431104 Debye. Additionally, the vibrational frequencies were calculated and compared with experimental values and a good agreement between the measured and calculated values for the molecule 1-(o-Tolyl)thiourea were obtained. Furthermore, some thermodynamic parameters of the title molecule were calculated at the mention level of the theory. (C) 2020 Elsevier B.V. All rights reserved.Publication A 120 MHz fast automatic tuning CMOS active-RC lowpass filter(ELSEVIER SCI LTD, 2023) Yesil, Ercem; Zencir, Ertan; Zencir, Ertan; Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK); Turk Hava Kurumu University; Turkish Aeronautical AssociationIn this paper, a fast automatic cutoff frequency calibrating, CMOS lowpass filter with linear-in-dB tunable gain and constant in-band group delay is presented. The automatic frequency tuning (AFT) circuit can successfully tune the cutoff frequency to 120 MHz with less than 4.7% error. In-band group delay variation is handled using a capacitor process variation detection circuit (CPVD), and the overall tuning time is less than 700 ns. The design is done using STM PD-SOI 130 nm CMOS process, and the supply voltage is 1.2 V with a total power consumption of 21.7 mW. The overall filter provides a programmable linear-in-dB gain of 0.5 dB to 17.6 dB range with a cutoff tuning range of 80 to 180 MHz. The in-band group delay variation is below 500 ps with an adjacent channel ratio (ACR) of 85 dB. The spurious free dynamic range (SFDR) is over 66.6 dBc. The active area of the filter with tuning is 0.171 mm2.Publication Smart prospects for solar-based cooling and heating systems in the Middle East and Turkey(IEEE, 2022) Baba, Abdullatif; Al Shehabi, Shadi; Bonny, M. Talal; Baba, Abdullatif; Turkish Aeronautical Association; Turk Hava Kurumu University; University of SharjahSolar-based systems represent the focal interest field for most of the newest studies of renewable energy. Solar heating and cooling systems convert thermal energy coming from the sun into electricity or heat to provide residential, commercial, and industrial areas with hot water, or to retain a specific required temperature. These technologies replace the classical fossil energy sources that are characterized by their damaging environmental impacts as well as their expensive costs. In this paper, we look at the ambitious solar projects that are already established or will be constructed in different countries of the ME and Turkey. Then, we discuss in brief most of the available technologies that rely on solar-based approaches for heating and cooling purposes. To overcome some challenges that may affect the performance of solar plants like cloudy or night environments, smart management techniques for interconnected units, or the cross-border power units of neighbored countries, are presented here and clarified by a case study. Finally, we conclude with a summary describing the most important features of our paper.Publication On Modified Mellin-Gauss-Weierstrass Convolution Operators(SPRINGER BASEL AG, 2022) Aral, A.; Erbay, H.; Yilmaz, B.; Kirikkale University; Turk Hava Kurumu University; Turkish Aeronautical AssociationMellin transform has various applications to real-life problems in function approximation, signal processing, and image recognition, thus, it has been the main ingredient of many studies in diverse fields. This study is devoted to Mellin operators and their variants to improve approximation accuracy and approximate ratio. Two Mellin type operators are reconstructed by using two sequences of functions to enable lower pointwise approximation error as well as higher pointwise convergence rate. Keeping the idea of Mellin convolution, these classes aim to be associated with functions defined on the semi-real axis, and the affine and quadratic functions pairs are fixed points. It has been shown, both theoretically and numerically, that operators can be used to approximate functions pointwise. Indeed the approximation accuracy can be adjusted by tuning the parameters. Moreover, weighted approximation, as well as Voronovskaya type results, are studied throughout the paper. The advantages of each operator over the other in terms of both approximation errors and convergence rates are presented.Publication Parallel Multiobjective Feature Selection for Binary Classificatio(IEEE, 2020) Deniz, Ayca; Kiziloz, Hakan Ezgi; Middle East Technical University; Turkish Aeronautical Association; Turk Hava Kurumu UniversityFeature selection has become a prominent step for many research studies as available data increases continuously with the advances in technology. The objective of feature selection is two-fold: minimizing the number of features and maximizing learning performance. Therefore, it requires a multi-objective optimization. In this study, we utilize the multi-core nature of a regular PC in the feature selection domain. For this purpose, we build three models that exploit the parallel processing capability of a modern CPU. We execute the feature selection task on a single processor in the first model as a baseline. In other models, we execute the feature selection task in four cores of the CPU, in parallel. Specifically, in the second model, we decrease the population size per processor and explore whether we can achieve comparable solution sets in less amount of time. The third model preserves the population size and explores a more extensive search space. We compare the results of these models in terms of accuracy, number of features and execution time. Experiment results show that parallel processing in the feature selection domain leads to faster execution and better feature subsets.Publication Reduce Power Losses and Improve Voltage Level by Using Distributed Generation in Radial Distributed Grid(IEEE, 2017) Sajir, Husham; Rahebi, Javad; Abed, Amir; Farzamnia, Ali; Turkish Aeronautical Association; Turk Hava Kurumu University; Universiti Malaysia SabahServices provided by distributed generation (DG) to power generation and transmission systems have become an urgent necessity due to increase in load demand in recent years. These services include bridging the lack of central generation, increase the reliability of the network, reduce the inactive power in the system, and improve the margin of voltage for the network. On the other hand, the use of energy sources and diversification in the production of electric power. The voltage fluctuation on the end of consumer requires fast-paced strategic solutions and one of these solutions is the distributed generation. They contribute to the control of the voltage fluctuation to have a positive role in the work of the on-load tap changer (OLTC) which is sometimes unable to compensate for the lack of value of the voltages supplied from the source. The main contribution of this work is the introduction particle swarm optimization (PSO) algorithm to simulate a power system using the MATPOWER 6.0 as a tool box and one distributed generation to support the voltage profile. The results were positive as the system was simulated before the generator was entered into the network and the voltage measurement results were Low and after the input of the generator to the distribution network recorded a clear improvement in the voltage profile.