Theses supervised by Prof. Dr. Ahmet Karaarslan
12 theses · Kütahya Dumlupınar University, Ankara Yıldırım Beyazıt University
Eğitim kurumlarının öğretmen ve yöneticileri arasındaki çatışma alanları üzerine bir araştırma: Kütahya örneği
Günümüzde örgütler üzerinde yapılan araştırmaların büyük çoğunluğu birey odaklı araştırmalardır. Örgüt başarısının artması için kurumun bireylere verdiği değerin iyi anlaşılması gereklidir. Bireylerin performanslarını ve örgütsel bağılıklarını belirleyen en önemli etkenlerden birisi de, farklı koşul ve imkânlara sahip bireyler arasında ortaya çıkan çatışmadır.Çatışmanın pek çok nedeni olabilir. Bireyler arası farklıklar, ortak kullanım alanlarının paylaşılması, yönetimin görev ve sorumluluklarını yerine getirmesi ve iş yükü dağılımı gibi pek çok etmen çatışmaya yol açabilir. Çatışmanın pek çok olumsuz etkileri bulunabilir. Bu nedenle çatışmaya neden olabilecek etmenlerin araştırılması, yönetim ve organizasyon alanında önem arz etmektedir.Yapılan bu araştırmada, eğitim sektöründe görev yapan öğretmenler ve yöneticiler arasındaki çatışma alanları ve dereceleri araştırılmıştır. Araştırmaya konu olan 414 öğretmen-yönetici üzerinde anket uygulaması yapılarak, öğretmenlerin olası çatışma alanları ile ilgili görüşleri alınmıştır. Anket formlarından elde edilen bilgiler SPSS 15. for Windows paket programı ile analiz edilmiş ve sonuçlar değerlendirilmiştir.Araştırma sonuçları temel olarak araştırmacıların bireysel farklılıklar, yönetimin görev ve sorumlulukları, ortak kullanım alanları ve iş yükü dağılımında öğretmenlerin çatışma yaşadıklarını göstermiştir. Araştırma konuları alt başlıklar halinde incelenmiş ve sonuçlar rapor edilmiştir. Araştırmada istatistik analizi için tanımlayıcı analizlerden cross-tabulation analiz yöntemi ve genel bilgilerin derlenmesinde frekans analizi yöntemi kullanılmıştır. Araştırmanın kavramsal bölümü için kaynakların bir araya getirilmesinde kaynak tarama modeline başvurulmuştur. Araştırmada bir dizi önerilere de yer verilmiştir.Anahtar Kelimeler: Çatışma, Eğitim, Okul Yönetimi, Organizasyon, Yönetim.
Hastanelerde kalite arttırma çalışmaları, Kütahya SSK Hastanesinde ISO 9001 : 2000 kalite yönetim sistemi uygulamasının hasta memnuniyeti üzerindeki etkileri
ÖZET Bu çalışma üç bölümde, tasarlanmıştır. Birinci bölümde sağlık hizmetleri ve sağlık işletmelerinin tanımı ve özelliklerinden bahsedilmektedir. Sağlık hizmeti tedavi ve bakım hizmeti olarak tanımlanmakta ve birlikte sunulan iki aynı hizmet olarak anlatılmaktadır. Türkiye'deki sağlık sistemi ve uygulamalarından örnekler verilmektedir. Sağlık işletmelerinde geleneksel yönetim modelleri ve bu modellerin eksiklikleri ortaya konmaya çalışılmaktadır. İkinci bölümde sağlık işletmelerinin çağdaş, verimli, var olan şartlarda, kaliteli sağlık hizmetini verebilmesi için uygun görülen yönetim modellerin; İSO 9000 Standartları ve Kalite Güvence Sistemleri, İSO 9000:2000 Kalite Yönetim Sistemi, JCAHO Akreditasyon Sistemi, Toplam Kalite Yönetimi tanımlanmakta ve bu yönetim modellerinin uygulanma şartlan tartışılmaktadır. Kalite yönetim modellerinden birinin uygulanması halinde kalite artışı ve buna bağlı olarak da hasta/müşteri memnuniyetinin artacağı savunulmaktadır. Üçüncü bölümde ise Kütahya SSK Hastanesinde kalite arttırma/Kalite Yönetim Sistemine geçiş çalışmalarından bahsedilmekte sonuçlan hasta memnuniyeti ölçüm anketiyle değerlendirilmektedir.
Incremental fuzzy control of BLDC motor on FPGA for missiles
In this study, the comparison of Incremental Fuzzy and Proportional Integral (PI) control methods on Field Programmable Gate Array (FPGA) is investigated for gimbals and fins of missiles which include Brushless Direct Current (BLDC) motors. The BLDC motors are widely used in two important parts of guided missiles due to their high performance. Firstly, Gimbals usually include two BLDC motors and seeker camera. These motors provide two axis seeker camera motions, so the missiles can trace the target. Secondly, missiles can be guided to intended direction by BLDC motors that are used in the control system of fins. According to these roles, the control of BLDC motors is very important for missiles and defense industry. Therefore, the performances of Incremental Fuzzy and PI control methods on BLDC motors were analyzed in detail in terms of both simulation and experimental study. The simulation results were obtained by using Matlab/Simulink program. FPGA based electronic board was used for experimental results. The experimental results are compatible with simulation results. It is proved that Incremental Fuzzy control method is more reliable and stable than PI control method. So implementation of Incremental Fuzzy control method improves the missiles performance.
Cost study of microgrid application in Turkey
Energy is an indispensable resource for human life. With the increase in the world population, technological developments and the development of the industry, energy demand is also increasing. There are values to be measured according to the type of energy planned to be used, such as solar radiation, wind speed and intensity, and proximity of geothermal resources to soil. As with every investment, economic analyzes should be carried out before the installation of renewable energy systems. Investment potential of the region in terms of renewable energy sources should be determined. The purpose of this study; to examine the renewable energy potential of Aydın's Germencik-Söke region and to evaluate the energy needs of the region through Microgrid containing these energy resources and to investigate the effects of Microgrid on energy costs. During this research, the profitability of the investment to be made over the consumption values of the current system users was examined. The unit energy cost, investment cost and lifetime cost of the renewable energy system vary according to the existing potential of the energy resources in the region. Although some renewable energy systems are more expensive to set up, it can be seen to be cheaper according to unit energy cost when compared to a lifetime cost. Net Present Value Method was used to calculate the lifetime cost of the systems. The purpose of the Net Present Value Method is to determine the income situation according to today's conditions by reducing the future income and expenses to the present time. As a result of this study; the energy demand of the Aydın's Germencik-Söke region were met by using renewable energy sources in the region. Microgrid supplied by renewable energy resources is shown as an economically profitable investment to research, develop and establish.
Active package to cell balancing battery management system with Isolated ĆUK converter and switch matrix
Battery Management System (BMS) is applied to battery packs to monitor the voltage, current, temperature, and State of Charge (SoC) values of each cell and provide the battery pack to operate in a safe zone. One of the battery problems is that each battery cell in the pack does not contribute energy equally to the entire pack. Li-ion batteries that are used in this paper also suffer from this problem due to their higher energy density than other batteries. Therefore, a balancing operation is needed for the voltage and SoC of each cell. In this paper, a faster active package-to-cell (P2C) balancing by using a BMS that has an isolated ĆUK converter (IĆC) and a switch matrix is proposed. The proposed BMS draws energy from the entire pack and balances the lower energized cells by converting the energy through a high-power capable IĆC and a cell-selective switch matrix (SWM) that enables the selection of one cell or up to four cells in a row. Due to the isolation, the energy can be transferred from pack to cell, and thanks to the switch matrix, it is possible to reach each cell individually. In addition, the BMS controller has a PI controller for IĆC and a cell-selective algorithm (CSA) for the switch matrix. Also, the proposed study provides a cost-effective and compact solution as compared with other P2C topologies.
Hybrid PSM-PWM combined modulation applied to bidirectional dual active bridge cllc resonant converter
Electricity has gained parabolic importance since the beginning of the 21st century. In almost all areas, electricity is in use in various types or forms. Since different applications require different supply characteristics, electrical management has a significant role to play in handling this requirement. Accordingly, power electronics is a department of electrical and electronics engineering that evaluates and converts electricity into various forms. DC-DC converters have a wide range of application areas. There are many DC-DC conversion techniques; besides, each system may be suitable for a different type of converter. Resonant converters do have several advantages, like inherent zero voltage switching (ZVS) and zero-current switching (ZCS). Furthermore, they eliminate the need for snubber circuits. CLLC resonant converters are an attractive choice for EV charge applications thanks to their high efficiency characteristics and bi-directional energy flow capability. Adaptive converters must be controlled to provide stabilization under variable conditions. Each converter can adapt a variety of controlling strategies, just like different converter types can. The PI controller is a low-cost solution that works with the monitoring principle at the desired terminal. Next, in order to drive switches, several modulation types can be considered. A hybrid system simultaneously combined modulation strategy instead of switching between two modulations was followed to control the bi-directional CLLC resonant converter and verified with the MATLAB/Simulink environment.
Voice control of tennis throwing machine via arduino using PID and LQR controllers
With the development of technology and its involvement in the sports field, training with a machine has become widely spread in all kinds of sports, including tennis, where the player always seeks to improve his skills and acquire new blocking techniques, and all training methods agree that repeated training on specific points and distances for the ball improves the level of the player and through the machine, training is done by repetition on the specified points without the need for a partner. Several studies have already been conducted on this device, and it was created and presented in the market. however, through this work, the machine will be modified through the presence of some differences, as the voice control technology has been added to train on certain points, unlike random training. voice messages are sent using a smartphone and will translate into signals in the presence of the Arduino. and because the direct current motors are the machine's basic devices, the emphasis was on speed control methods, and the proportional integral control and the linear-quadratic regulator control were used. Proteus 8 professional was used for simulation on the theoretical side, arduino code was written using the programming language arduino, MATLAB simulation for tuning controllers, and results were obtained showing the performance of the controller in different scenarios and deducing which is more appropriate. The circuit was built and tested using arduino mega and H-Bridge motor driver with arduino ide to prove the performance of the controllers and the results were on the motors as the speeds were regulated in a variety of situations. the Android applications were created using the mit app inventor Through it, voice messages are sent. Keywords: Proportional Integral controller, Linear-Quadratic Regulator controller, H-bridge, Arduino, Hall magnetic sensor, Bluetooth H-05.
A new model implementation for doubly fed induction generator used in variable speed wind turbines
In this thesis, a new approach has been applied to the control of Doubly Fed Induction Generator (DFIG), which is generally used in variable speeds in wind turbines. Matrix Converter (MC) is implemented to the system due to many advantages, such as no need for high value filters, capability of bidirectional energy conversion and no need for DC bus. Nevertheless, modulation methods are very difficult and require high computational effort. Therefore, the Model Predictive Control (MPC) method has been improved to simplify the complexity of this topology. However, the weaknesses of this control method are that it uses a mathematical model and is affected by parameter changes caused by external disturbance, frequency and temperature variations. In this study, a reduced-order Extended Kalman Filter (EKF) has been also applied as an observer to eliminate the variations in the rotor resistance and stator resistance of the DFIG caused by frequency and temperature variations, sensor noise or uncertainties. Simulation studies have been carried out using Matlab / Simulink program. The algorithm is performed using TMS320F28335 Digital Signal Processor (DSP) that has a 32-bit floating point processor operating at 150 MHz. The results obtained from the experimental set-up are compared with the simulation results, and the performance of the proposed method is verified by IEEE and IEC Standards.
Classifying subcellular protein patterns in human cells
CLASSIFYING SUBCELLULAR PROTEIN PATTERNS IN HUMAN CELLS ABSTRACT Image recognition and object detection is a popular topic in the scientific field and industry today. There are many practical applications of classifying contents, especially through pictures. In the last decade, there have been important developments in this regard. In particular, machine learning has become the number one method in image recognition, as in other scientific fields, with the incredible increase in the amount of data available, computer hardware becoming more powerful and the many algorithms proposed. After the Artificial Neural Network, which was relatively insufficient for image recognition, the success of machine learning systems has increased with the invention of Convolutional Neural Networks. In this study, it was tried to find the types of proteins in the cell pictures. Due to the size of the data, an input pipeline has been developed for reading, training and evaluation processes. Then, three different models were designed, inspired by network architectures that have been successful in the past. Evaluating the results of these models, it has been tried to increase the amount of success by fine-tuning the most successful model. It is found from the loss and macro-F1 scores that the first model, which was designed with the inspiration of VGG, delivers the best results. In addition, it has been observed that the use of the dropout layer in cases involving overfitting generally works and increases the success of the system. Among the derivatives of the Gradient Descent algorithm, it was understood that the most successful for this dataset was Adam Optimizer, others did not give the desired result with default parameters. Keywords: Machine learning, image recognition, convolutional neural network, protein types in human cells, multi-class multi-label classification.
Internal model control scheme for single ended primary inductance converter
The main purpose of this thesis is the design of the SEPIC converter, which converts the variable direct current input voltage to a constant direct current output voltage, the designing and realizing of its control with the internal model controller. For this purpose, a converter power board with 250W output power, which converts a system with variable 9Vdc-36Vdc input voltage to a constant 28Vdc output voltage, has been designed, manufactured and tested for use in the military defense industry. The small signal model of the SEPIC converter is obtained. The internal model controller is designed and applied to the converter and simulated in the Matlab / Simulink program. The response of the circuit in instantaneous input voltage and load changes is simulated. Printed circuit board of SEPIC is also drawn using the Altium Designer program. Since the use of microcontroller makes the system more stable than analog circuits, the production of pulse width modulation (PWM) signal is created with the 'STM32L100C-DISCO' model discovery board of STM Electronics Company. The control system is embedded in the discovery board with the Keil µVision IDE environment. This board is sampling the output voltage and gives PWM signal to the SEPIC converter in the required duty cycle. In the tests carried out with the produced SEPIC converter power circuit, ripples in the output voltage and current are examined.
The design of isolated multi-phase interleaved converter for battery charging of military applications
On account of the fast progress in power electronic domain, most of the instruments and products are looking forward to smaller-sized, reliable, multi-functional, and long-term for the lifetime of the battery. Therefore, the study of power management became an unavoidable part in power electronic applications. DC-DC converters for battery charging applications with high power requires the ripple for the input current and output voltage to be as less as possible, also it demands an isolated between the input and output. Therefore, in this thesis, an isolated four-phase interleaved boost converter (I4PIBC) is presented for battery charging of military applications that overcome the problem of high input current and output voltage ripples. The converter operates in continuous conduction mode CCM with a changeable source voltage ranged from 9-36 vdc, and the desired output is 28 vdc with an output power of one kilowatt, since the voltage on the DC-link capacitor is designed to be 80 vdc. Furthermore, while designing the proposed converter, the balance between the phase's current should be considered to be equal in all the phases. Hence, different control methods have been proposed and investigated to be applied for the converter. In the first method, the converter is controlled using a single-loop controller as a voltage controller, and the second method a double loop current mode controller is used to control the input current. The third method uses the same concept in the second method, where a double loop is provided to control the converter; however, the inner loop consists of four identical separate proportional and integral controllers meant to control each current phase individually. In the last method, predictive mode controller is presented for controlling such a converter. The simulation results are illustrated separately one by one for each control method, and then the response of the converter operating with different control methods is compared.
Implementation and performance analysis of fuzzy logic and PI controlled non-inverting buck-boost converter
The wide input and output voltage range of the non-inverting buck-boost converter makes it appropriate for usage in several applications, which is a considerable advantage. The literature offers several control techniques for the efficient regulation of non-inverting buck-boost converters; however, this study concentrates on the application of fuzzy logic and conventional PI control techniques, comparing their performance characteristic in response to changes in system parameters. The fuzzy logic rules were developed from the linguistic interpretation of the converter response. The viability of the converter under ideal operating conditions using an equivalent circuit model is demonstrated by the theoretical computations utilizing the MATLAB/Simulink simulation environment. Using pre-calculated circuit characteristics, simulations were run for both control strategies with a varied reference voltage and load conditions. The converter was also actualized for further study of the control approaches under varied operating conditions. The Fuzzy logic and PI controlled buck-boost converters were studied for converter response for the application of each control approach using similar reference voltage and load fluctuations. The actual circuit's performance characteristics with respect to variation in operating conditions demonstrate congruence with the simulated result, but with some minor differences due to the limitations of some real components. In conclusion, it was observed that the fuzzy logic control approach outperforms conventional PI control methodology under a wide range of operation parameters, as evidenced by simulation and actual results in terms of response speed, However, the PI controller outperformed the fuzzy logic in instances where reference voltage changes from high to low values due to the absence of output voltage overshoots.