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abstract: High Voltage Direct Current (HVDC) Technology has several features that make it particularly attractive for specific transmission applications. Recent years have witnessed an unprecedented growth in the number of the HVDC projects, which demonstrates a heightened interest in the HVDC technology. In parallel, the use of renewable energy sources has dramatically increased. For instance, Kuwait has recently announced a renewable project to be completed in 2035; this project aims to produce 15% of the countrys energy consumption from renewable sources. However, facilities that use renewable sources, such as solar and wind, to provide clean energy, are mostly placed in remote areas, as their installation requires a massive space of free land. Consequently, considerable challenges arise in terms of transmitting power generated from renewable sources of energy in remote areas to urban areas for further consumption. The present thesis investigates different transmission line systems for transmitting bulk energy from renewable sources. Specifically, two systems will be focused on: the high-voltage alternating current (HVAC) system and the high-voltage direct current (HVDC) system. In order to determine the most efficient way of transmitting bulk energy from renewable sources, different aspects of the aforementioned two types of systems are analyzed. Limitations inherent in both HVAC and HVDC systems have been discussed. At present, artificial intelligence plays an important role in power system control and monitoring. Consequently, in this thesis, the fault issue has been analyzed in transmission systems, with a specific consideration of machine learning tools that can help monitor transmission systems by detecting fault locations. These tools, called models, are used to analyze the collected data. In the present thesis, a focus on such models as linear regression (LR), K-nearest neighbors (KNN), linear support vector machine (LSVM) , and adaptive boost (AdaBoost). Finally, the accuracy of each model is evaluated and discussed. The machine learning concept introduced in the present thesis lays down the foundation for future research in this area so that to enable further research on the efficient ways to improve the performance of transmission line components and power systems. / Dissertation/Thesis / Masters Thesis Electrical Engineering 2019

The purpose of the present study was to prepare a Stress Management Program for the mothers of children with autism and to evaluate the effects of the program on depression, anxiety, and suicidal probability. It was hypothesized that the mothers of children with autism who attended the Stress Management Program would have lower depression, anxiety and suicidal probability whereas there would be no change in the depression, anxiety, and suicidal probability of mothers of children withautism who did not get any treatment. The participants of the study were 44 mothers of children with autism from Uyum Special Education Center and Ilgi Special Education Center. The data were gathered by administering four instruments / Beck Depression Inventory, Back Anxiety Inventory, Suicidal Probability Scale, and Demographic Information Form. Repeated Measures Analysis of Variance Technique was used to analyze the data. The findings of the study indicated that there was a significant decrease in depression levels of mothers of children with autism after the Stress Management Program whereas anxiety and suicidal probability did not change significantly as a function of the Stress Management Program. For the mothers of children with autism who did not get any treatment, it was indicated that there were no difference in depression, anxiety and suicidal probability. The results were discussed within the context of the relevant literature.

This study aims to examine the role of television in rural women&rsquo / s everyday life experiences in terms of information, socialization, identification and entertainment. The focus is on rural women&rsquo / s experiences with a feminist perspective conducting an ethnographic study using the methods of in-depth-interviews, survey, participant observation and group discussions in Topakli village. The findings of the study is the role of television as an information source for rural women and it&rsquo / s role on rural women&rsquo / s socialization process.