Midyat Meslek Yüksekokulu

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A hybrid approach consisting of 3D depthwise separable convolution and depthwise squeeze‑and‑excitation network for hyperspectral image classifcation
(Earth Science Informatics, 2024) Güngör, Mustafa; Güngör, Mustafa
Hyperspectral image classifcation is crucial for a wide range of applications, including environmental monitoring, precision agriculture, and mining, due to its ability to capture detailed spectral information across numerous wavelengths. However, the high dimensionality and complex spatial-spectral relationships in hyperspectral data pose signifcant challenges. Deep learning, particularly Convolutional Neural Networks (CNNs), has shown remarkable success in automatically extracting relevant features from high-dimensional data, making them well-suited for handling the intricate spatial-spectral relationships in hyperspectral images.This study presents a hybrid approach for hyperspectral image classifcation, combining 3D Depthwise Separable Convolution (3D DSC) and Depthwise Squeeze-and-Excitation Network (DSENet). The 3D DSC efciently captures spatial-spectral features, reducing computational complexity while preserving essential information. The DSENet further refnes these features by applying channel-wise attention, enhancing the model's ability to focus on the most informative features. To assess the performance of the proposed hybrid model, extensive experimental studies were carried out on four commonly utilized HSI datasets, namely HyRANK-Loukia and WHU-Hi (including HongHu, HanChuan, and LongKou). As a result of the experimental studies, the HyRANK-Loukia achieved an accuracy of 90.9%, marking an 8.86% increase compared to its previous highest accuracy. Similarly, for the WHU-Hi datasets, HongHu achieved an accuracy of 97.49%, refecting a 2.11% improvement over its previous highest accuracy; HanChuan achieved an accuracy of 97.49%, showing a 2.4% improvement; and LongKou achieved an accuracy of 99.79%, providing a 0.15% improvement compared to its previous highest accuracy. Comparative analysis highlights the superiority of the proposed model, emphasizing improved classifcation accuracy with lower computational costs.
Analysis and Mitigation of Power Quality Issues in Distributed Generation Systems Using Custom Power Devices
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2018) Hossain, Eklas; Tur, Mehmet Rida; Padmanaban, Sanjeevikumar; Ay, Selim; Khan, Imtiaj
This paper discusses the power quality issues for distributed generation systems based on renewable energy sources, such as solar and wind energy. A thorough discussion about the power quality issues is conducted here. This paper starts with the power quality issues, followed by discussions of basic standards. A comprehensive study of power quality in power systems, including the systems with dc and renewable sources is done in this paper. Power quality monitoring techniques and possible solutions of the power quality issues for the power systems are elaborately studied. Then, we analyze the methods of mitigation of these problems using custom power devices, such as D-STATCOM, UPQC, UPS, TVSS, DVR, etc., for micro grid systems. For renewable energy systems, STATCOM can be a potential choice due to its several advantages, whereas spinning reserve can enhance the power quality in traditional systems. At Last, we study the power quality in dc systems. Simpler arrangement and higher reliability are two main advantages of the dc systems though it faces other power quality issues, such as instability and poor detection of faults.
Analysis of Open Circuit Voltage MPPT Method with Analytical Analysis with Perturb and Observe (P&O) MPPT Method in PV Systems
(Taylor and Francis Ltd., 2023) Çakmak, Fevzi; Aydoğmuş, Zafer; Tür, Mehmet Rıda
This study conducts a comprehensive comparison between two prominent Maximum Power Point Tracking (MPPT) techniques employed in solar energy systems: the Perturb and Observe (P&O) method and the Analytical Solution Fractional Open Circuit Voltage (ASFOCV) method. To assess the effectiveness of these MPPT approaches, a simulation study was conducted using four SHARP NDQ295 model photovoltaic panels, configured as two panels in series and two in parallel. Both the P&O and ASFOCV MPPT methods were evaluated under various scenarios of radiation levels and temperature changes. The results unequivocally demonstrate the superior performance of the ASFOCV MPPT method over the P&O MPPT method. The ASFOCV method notably enhanced converter output power by up to 5% when compared to the P&O method, leading to more efficient energy production. Furthermore, the ASFOCV method exhibited rapid stabilization of output voltage during abrupt weather changes, outperforming the P&O method in this regard. This study underscores the potential of the ASFOCV MPPT method to enhance the efficiency of solar energy systems and its adaptability to fluctuating environmental conditions. Future research endeavors could focus on mitigating the ASFOCV method’s sensitivity to temperature variations and conducting real-world applications to further investigate its performance under practical circumstances.
Cozguden Dugume, Dugumden Motife Bergama Halilariy
(MILLI FOLKLOR, 2022) Ekinci, Esra
Cozguden Dugume, Dugumden Motife Bergama Halilariy
DIRECT PRODUCTS OF ROUGH SUBGROUPS
(2019) Bağırmaz, Nurettin
In this research, the direct products of the rough approximations and rough subgroups in a group by direct product of normal subgroups are studied. In addition, some basic properties and homomorphic images of these structures are examined.
Distributed generation system planning based on renewable energy source
(IEEE, 2022) Çakmak, Fevzi; Altun, Muslime; Çakmak, Fevzi; Atiç, Serdal; Tür, Mehmet Rıda; Bayindir, Ramazan
Distributed generation systems are needed in order to use existing energy resources efficiently and to meet energy needs. Although the interconnection of distributed generation systems with renewable sources offers many advantages, technical difficulties may arise from the inappropriate integration of distributed generation. Therefore, optimal planning of distributed generation is very important for the distributed grid to provide the expected power. Optimizing production systems is used to increase efficiency, provide flexibility in electrical systems, reduce costs and reduce power fluctuations. Meta-heuristic algorithms are more suitable for multi-purpose applications. In this study, the renewable energy source and energy storage system in the distributed generation system are also mentioned. Some of the optimization methods used for optimal planning of the distributed system are also included.
How do family influence on career choices and perceived social support affect students’ life satisfaction in Turkey? The role of vocational outcome expectations as mediator
(SpringerLink, 2023) Aslan, Yavuz; Koçak, Orhan
This study aimed to examine the relationships between family infuence on career choices with perceived social support, vocational outcome expectations, and life satisfaction of university students. Correlational research method was used in the study. The results showed that family infuence on career choices and perceived social support were positive and signifcant predictors of vocational outcome expectations and life satisfaction. In addition, vocational outcome expectations was a positive and signifcant predictor of life satisfaction. Vocational outcome expectations partially mediated the relationship between family infuence on career choices, perceived social support, and life satisfaction.
Learning-Based Approaches for Voltage Regulation and Control in DC Microgrids with CPL
(Multidisciplinary Digital Publishing Institute, 2023) Güngör, Mustafa; Asker, Mehmet Emin
This article introduces a novel approach to voltage regulation in a DC/DC boost converter. The approach leverages two advanced control techniques, including learning-based nonlinear control. By combining the backstepping (BSC) algorithm with artificial neural network (ANN)-based control techniques, the proposed approach aims to achieve accurate voltage tracking. This is accomplished by employing the nonlinear distortion observer (NDO) technique, which enables a fast dynamic response through load power estimation. The process involves training a neural network using data from the BSC controller. The trained network is subsequently utilized in the voltage regulation controller. Extensive simulations are conducted to evaluate the performance of the proposed control strategy, and the results are compared to those obtained using conventional BSC and model predictive control (MPC) controllers. The simulation results clearly demonstrate the effectiveness and superiority of the suggested control strategy over BSC and MPC.
The mediating role of peritraumatic stress in the relationship between childhood psychological maltreatment and optimism and pessimism among earthquake survivors in Turkey
(2023)
Introduction: People encounter many events across their life span. However, some life experiences cause negative psychological outcomes. One of them is earthquakes. Therefore, in this study, it was aimed to examine the mediating role of peritraumatic distress in the relationship between childhood psychological maltreatment and optimism and pessimism among earthquake survivors. Methods: Using a snowball sampling technique with a cross-sectional research design, the sample comprised 311 adults who survived earthquake survivors in Turkey. Participants ranged in age between 18 and 61 years (mean age = 27.57±8.03). Of the participants, 231 (74.3%) were females and 80 (25.7%) were males, and they completed the Psychological Maltreatment Questionnaire–Short Form, Peritraumatic Distress Inventory, and Optimism and Pessimism Questionnaire. Results: The findings showed that childhood psychological maltreatment was positively related to peritraumatic distress and pessimism, and negatively related to optimism. Similarly, peritraumatic distress was positively related to pessimism and negatively related to optimism. More importantly, peritraumatic distress mediated the relationship between childhood psychological maltreatment and optimism and pessimism. These findings highlight the importance of addressing peritraumatic distress as an important factor in improving individuals' perspectives on life. Discussion: Implementing tailored interventions to mitigate peritraumatic distress could lead to a more optimistic mindset and reduced levels of pessimism. By providing individuals with effective coping strategies and support systems, such interventions may empower them to overcome the challenges posed by stressful situations and cultivate a more positive outlook on life. Take-home message: Childhood psychological maltreatment has significant implications for earthquake survivors' mental well-being, impacting their levels of optimism and pessimism. Peritraumatic distress plays a crucial mediating role in this relationship. Addressing peritraumatic distress through tailored interventions can foster a more optimistic mindset, reduce pessimism, and empower individuals to cope effectively with stress and improve their overall life outlook.
Mppt Control for PV Systems with Analytical Analysis Fractional Open Circuit Voltage Method
(IEEE, 2022) Çakmak, Fevzi; Aydoğmuş, Zafer; Tür, Mehmet Rıda
Abstract— In this study, analytical resolved fractional open circuit voltage (FOCV) maximum power point tracking (MPPT) method is presented. The proposed method is obtained by calculating it by utilizing the single diode circuit of the PV module, while measuring the open circuit voltage (Voc) by interrupting the power of other open circuit voltage methods. Vmpp is obtained by multiplying the obtained Voc voltage with the coefficient. The voltage variation (E) is obtained by the subtraction between the panel voltage (Vpv) and the Vmpp voltage. It is applied as an input to the PI controller by multiplying the Ki factor to limit the voltage variation (E). The PI Controller generates the required duty cycle for the DC-DC converter. The most important advantage of this method is acquaring open circuit voltage without power interruption. The proposed method operated effectively at different radiation and temperature values. For the proposed method, it has simulated in Matlab/Simulink program using SHARP NDQ295 model PV panel.
Organizational gossip and teachers: Threat or opportunity?
(2022) Bozan, Serdar; Bozan, Serdar
This research examines teachers‟ perceptions of gossip in schools. The research employed an explanatory approach of mixed methods. Quantitative data were obtained through the “Organizational Gossip Scale” and qualitative data were obtained through the semi-structured interview form. Quantitative data were collected from 302 teachers selected by simple random sampling method in secondary schools in Turkey. Qualitative data were collected from ten teachers chosen by the maximum variation sampling method. The research first revealed that gossip is a frequently used communication mechanism in schools, although participants have different perceptions of gossip. In addition, the results showed that gossip might be seen as an opportunity in school, given its functions of having information and developing relations. However, in terms of harmful effects such as poor performance and burnout in the qualitative results, gossip will be a threat to the school‟s stakeholders. Still, it can also be a threat in terms of organizational harm. In conclusion, gossip‟s significance in informal processes in schools was emphasized. Implications were made to practitioners and researchers that the threat aspect could be turned into an opportunity
A REVIEW OF MULTI OBJECTIVE OPTIMIZATION
(2016) Hüseyin Ahmetoğlu
Merging systems, enhancing inter-disciplinary relations and increasing needs require multi objectives rather than a single objective in the optimization problems nowadays. However, the objectives are frequently conflicting. When an objective is improved, the other objective(s) may deteriorate. In the multi-objective optimization problems (MOOPs), the aim is to come up with the best solutions that can be an alternative for each other in terms of objective function values under the constraints caused by various reasons. During the last two decades, MOOPs and solution methods have been studied with great interest. It is possible to come across a MOOP in almost every discipline in the literature. MOOPs have been modelled and solved not only in the fields with more applications such as production, management, business administration, marketing, transportation and finance but also in the basic sciences such as chemistry, maths and statistics. Solution of MOOPs requires the simultaneous optimization of conflicting multi objectives. In MOOPs, an optimal solution set on which a compromise is reached among the conflicting objectives is obtained. In this study, the articles on multi-objective optimization written in 2015 and later are analysed and 61 articles are chosen among them. Classical and heuristic methods implemented for the solution of MOOPs presented in these articles are mentioned. The articles are classified according to their subject areas. The methodology used in each article is identified. According to their implementation areas, the multi-objective optimization methods and the areas they are implemented the most are discussed. The areas to be focused on in the future studies to obtain more robust results in the optimization are identified.
Review of the Opinions of Vocational High School Teachers, Students, and Administrators on the Interactive Whiteboard1
(Turkish Online Journal of Qualitative Inquiry, 2020) Aykat, Şükrü; Günüç, Selim; Aykat, Şükrü
The primary aim of this study is to determine whether there was a difference in teachers' levels of interactive whiteboard usage, their self-efficacy, and opinions before and after the Use of Technology in Education Course (UTEC) in vocational high schools where FATIH project was implemented. Research participants constituted of teachers and school administrators, and students attending Telkari Vocational and Technical Anatolian High School in which interactive whiteboard installation was made within the framework of FATIH project in Midyat district of Mardin province and who attended UTEC training in the 2015-2016 academic year. In this study, a mixed research method model was used. Data were collected through scale, survey and semi-structured interview forms. Quantitative data were analyzed by mean and ttest, and qualitative data were analyzed by content analysis. In conclusion of the study, it was observed that there was no significant change in the self-efficacy of teachers using interactive whiteboard and their level of using interactive whiteboard after UTEC training. Furthermore, it was observed that teachers were unable to develop materials for the interactive whiteboard before UTEC training, and after the UTEC training, they were able to prepare materials in part. This fact has revealed that the UTEC training content was not sufficient in material development for the interactive whiteboard. The students, on the other hand, indicated that they preferred the courses used on the interactive whiteboard and asked the teachers to continue using the interactive whiteboard. Participant students indicated that interactive whiteboard failures also adversely affected the lesson. Teachers, students, and school administrators reported that use an interactive whiteboard in the course increased student success and positively affected interest and participation in the course.

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