Meslek Yüksek Okulları / Vocational Schools
http://hdl.handle.net/11727/1410
2024-03-29T08:11:40ZThe Transnational Spread of Turkish Television Soap Operas
http://hdl.handle.net/11727/11874
The Transnational Spread of Turkish Television Soap Operas
Karlidag, Serpil; Bulut, Selda
Turkish soap operas that are primarily popular in Turkic Republics, Middle East, and the Balkans have in recent years spread to different countries. With the entry into Ukrainian, Pakistani, Russian, and Chinese markets last year, tens of Turkish soap operas now reach their viewers in over 50 countries, and generate export revenues. Short-term return on investment, new communication technologies, Istanbul's ` magnetic nature attracting new talents' and different sociocultural forces and policies play key role in such extensive spread of Turkish TV series. As cultural commodities, TV series, while the images and identities they contain spread, reach at the same time new customers through geographical expansion, and increase the earnings of producers. Yet, the distribution of soap operas is important as much as their production. This requires focusing on the commodities with geo-linguistic and geo-cultural markets rather than companies producing these commodities. Therefore, demand for these non-Western commodities of different geographies points to a contra-flow. In a sense, while new media centers are emerging elsewhere other than the United States of America (USA)-Europe axis, it can be spoken of a regional opposition to the Western hegemony, though there is not an important historical leitmotive or transformation. Thus, in this study, relations between power, cultural commodity, and geography and the spread of Turkish soap operas in different geographies will be discussed with a political economic approach by also drawing attention to the historical commonality.
2014-01-01T00:00:00ZA Novel Approach for Estimating Heat Transfer Coefficients of Ethylene Glycol-Water Mixtures
http://hdl.handle.net/11727/11433
A Novel Approach for Estimating Heat Transfer Coefficients of Ethylene Glycol-Water Mixtures
Bulut, Murat; Ankishan, Haydar; Demircioglu, Erdem; Ari, Seckin; Sengul, Orhan
Ethylene glycol-water mixtures (EGWM) are vital for cooling engines in automotive industry. Scarce information is available in the literature for estimating the heat transfer coefficients (HTC) of EGWM using knowledge-based estimation techniques such as adaptive neuro-fuzzy inference systems (ANFIS) and artificial neural networks (ANN) which offer nonlinear input-output mapping. In this paper, the supervised learning methods of ANFIS and ANN are exploited for estimating the experimentally determined HTC. This original research fulfills the preceding modeling efforts on thermal properties of EGWM and HTC applications in the literature. An experimental test setup is designed to compute HTC of mixture over a small circular aluminum heater surface, 9.5 mm in diameter, placed at the bottom 40-mm-wide wall of a rectangular channel 3 mm x 40 mm in cross section. Measurement data are utilized as the train and test data sets of the estimation process. Prediction results have shown that ANFIS provide more accurate and reliable approximations compared to ANN. ANFIS present correlation factor of 98.81 %, whereas ANN estimate 87.83 % accuracy for test samples.
2014-01-01T00:00:00ZOptimization of Waiting and Journey Time in Group Elevator System Using Genetic Algorithm
http://hdl.handle.net/11727/11054
Optimization of Waiting and Journey Time in Group Elevator System Using Genetic Algorithm
Tartan, Emre Oner; Erdem, Hamit; Berkol, Ali
Efficient elevator group control is an important issue for vertical transportation in high-rise buildings. From the engineering design perspective, regulation of average waiting time and journey time while considering energy consumption is an optimization problem. Alternatively to the conventional algorithms for scheduling and dispatching cars to hall calls, intelligent systems based methods have drawn much attention in the last years. This study aims to improve the elevator group control system's performance by applying genetic algorithm based optimization algorithms considering two systems. Firstly, average passenger waiting time is optimized in the conventional elevator systems in which a hall call is submitted by indicating the travel direction. Secondly, a recent development in elevator industry is considered and it is assumed that instead of direction indicators there are destination button panels at floors that allow passengers to specify their destinations. In this case optimization of average waiting time, journey time and car trip time is investigated. Two proposed algorithms have been applied considering preload conditions in a building with 20 floors and 4 cars. The simulation results have been compared with a previous study and conventional duplex algorithm.
2014-01-01T00:00:00ZDaily Life Activities of Children during the Pandemic
http://hdl.handle.net/11727/10603
Daily Life Activities of Children during the Pandemic
Yersel, Beyhan Ozge; Gunes, Luegen Ceren; Luegen, Ceren
The aim of this descriptive study was to examine the views of parents with children between the ages of 3-6 on their children's daily life activities during the pandemic. The study sample was composed of 65 parents, among whom 60 were mothers, and five were fathers, who were selected with the snowball method and who had children between the ages of 3-6 and voluntarily participated in the study. The data were collected through the General Information Form and the Family Interview Form, which were developed in line with expert opinions. The collected data were analyzed using percentage and frequency values. The findings suggested that, during the pandemic, the children's family relationships were positively affected; the duration of using technological tools increased; the children started to wash their hands more carefully; and duration of activities, such as drawing and chores, and plays increased. It was also found that the children mostly preferred piece assembly games; their physical movement needs were not fully satisfied; and there was no change in their health conditions, self-care skills, diet, sleep patterns, interactive book reading, and purposes of using technology. In line with the findings, parents, experts were given specific recommendations.
2021-01-01T00:00:00Z