Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Ashyralyyev, Charyyar(18)
- Ashyralyev, A.(15)
- Dogan, Ramazan Ozgur(15)
- Ashyralyev, A(10)
- Ekinci, Murat(9)
- Lukashov, A.(9)
- Kayikçioglu, Temel(8)
- Malkowsky, E(8)
- Özden, Talat(8)
- Akinoglu, Bulent G.(7)
- Memetoglu, M. E.(7)
- Albayrak, Cenk(6)
- Ashyralyev, Allaberen(6)
- Cakir, Zafer(6)
- Dogan, Hulya(6)
- Kayikcioglu, Temel(6)
- Bingol, Ozkan(5)
- Bingöl, Ozkan(5)
- Cakalli, H.(5)
- Canak, I.(5)
- Demir, S.(5)
- Gedikli, Eyup(5)
- Gurtug, O.(5)
- Harte, R.(5)
- Kalkan, A.(5)
- Kandemir, H.S.(5)
- Kocinac, L.D.R.(5)
- Ozden, Talat(5)
- Ozsahin, M(5)
- Sadybekov, M.(5)
- Sahin, H.(5)
- Simsek, Cemaleddin(5)
- Tez, M.(5)
- Turan, I.(5)
- Yildirim, Omer(5)
- Çakmak, Recep(5)
- Akay, K.U.(4)
- Akpulat, Murat(4)
- Aliyazicioglu, Y.(4)
- Altas, Ismail H.(4)
Yayınlar
- BildiriYalnız künye2019Teachers’ Resistance to Mobile Learning in Turkey and Spain: What Similarities? What Differences?
Aliagas, Cristina; Mutlu, Tugba; Roy, L.; Boustany, J.; Grassian, E.; Mizrachi, D.; Špiranec, S.; Huotari, M.L.; Kurbanoglu, S.; Ünal, Y.
The aim of this paper is to present the data on secondary school teachers’ resistant attitudes towards integrating digital technologies and literacies into their classrooms. The data was gathered through qualitative interviews in the frame of two distinct one-to-one technology programs that took place in distant socio-cultural and educational contexts: the FATIH Project of Turkey and the Escuela 2.0/EduCAT1x1 of Catalonia/Spain. This comparative analysis shows that teachers mainly resist educational change and the government, although they slightly differ in the underlying assumptions supporting their resistance. Their discourses on technology in schools have settled into “discourses of uncertainty” where negative attitudes are compensated with slightly positive comments about digital artefacts and literacies as tools for learning. Findings also indicate that teachers, regardless of the educational context they work in, have assumed the “discourse of inevitability” that dominates viewpoints concerning technology and digital literacy in education.
- BildiriAçık Erişim2019Firm Selection Based on Logistics Risk Factors: A Multiple Criteria Decision Making Approach
Peker, Iskender; Korucuk, Selcuk; Baki, Birdogan
Logistics firms are exposed several domestic and global risks such as variability in demand, shipment damages, earthquakes, and terrorist attacks. The purpose of this study is to provide an approach for selecting a logistics firm based on logistics risk factors according to the manufacturing firms' perspectives. An analytical network process method is utilized to determine risk factors' importance levels and VIKOR method is used to select the logistics firm. The study results show that the most important logistics risk factors are customer and supplier, and the least risky logistic firm is B. It can be concluded that the proposed model enables managers to examine potential risks influencing their logistics activities and select the logistics firm having minimum risk.
- BildiriYalnız künye2019Design of a MATLAB GUI for Day Ahead Forecasting of PV Panel Power
Bektas, Sibel Cevik; Cakmak, Recep; Altas, Ismail H.
This paper introduces design and utilization of a MATLAB graphical user interface (GUI) platform to forecast day ahead hourly Photovoltaic (PV) panel power by using forecasted day ahead global horizontal solar radiation. This platform, which would be a useful and practical tool for researchers who are study on energy management, planning and forecasting studies, consists of three parts. The first part predicts day ahead global horizontal solar radiation by trained artificial neural network (ANN) model. The second part performs the calculation of solar irradiation on the module, which has a tilted angle according to forecasting solar radiation data. The last part estimates the power generated by PV panel according to the calculated incident radiation. In this study, the solar irradiation forecasting, the calculation of incident radiation to tilted module and prediction of the solar power to be generated by the PV module are done. The designed GUI has been utilized to forecast solar radiation and PV output power for test days. Then obtained forecasted data have been evaluated with mean absolute percentage error (MAPE) and correlation coefficient (R).
- BildiriAçık Erişim2019Numerical solution of Neumann type elliptic overdetermined multipoint mixed boundary value problem
Ashyralyyev, Charyyar; Karabey, Suzan; Cakalli, H.; Kocinac, L.D.R.; Harte, R.; Cavalcanti, V.N.D.; Ashyralyev, A.; Sakalli, I.; Canak, I.; Gurtug, O.
In the present paper, Neumann type elliptic overdetermined multipoint boundary value problem is discussed. The first and second order of accuracy difference schemes (ADSs) for the numerical solution of elliptic overdetermined multipoint boundary value problems are presented. Stability estimates for solutions of difference schemes are obtained. Numerical results for mixed boundary value problem are given.
- BildiriYalnız künye2019Module Level Global Maximum Power Point Tracking Strategy
Basoglu, Mustafa Engin
Partial shading of photovoltaic (PV) modules can occur at any time due to the obstacles such as chimney, tree, antenna, bird flock etc. Due to such obstacles, the entire surface of the PV module cannot receive an equal amount of irradiance; Therefore, PV modules cannot operate at its maximum power point (MPP). In this paper, an improved version of a 0.8VOC model based global maximum power point tracking (GMPPT) strategy has been proposed. Single ended primary inductance converter (SEPIC) is used as a power converter between PV module and load. Effectiveness of the proposed technique is presented by experimental studies with the comparison of a full scanning approach. Results of experimental studies show that proposed GMPPT strategy outperforms than full scanning based algorithm known.
- BildiriYalnız künye2018Determining Complexity within the Crowd Movements
Akpulat, Murat; Ekinci, Murat
The segmentation of the moving and non-moving parts in an image within the crowd analysis studies is a crucial result in terms of understanding the behaviour. However, in many studies carried out, moving areas are assessed as making a set of movement that are similar in terms of location and of acceleration. In this study, what kind of interaction there exists among the people in a high-density crowd movement was studied. Initially, the motion data is represented as trajectories by using the optical flow and particle advection methods. The image is divided into equal hexagons and each area's topological entropy value is determined through Finite Time Braid Entropy (FTBE). This value depends on the complexity of the spiral structure that the trajectories generate throughout the movement and this value shows how much effective it is in the area. Eventually, through the complexity map that was generated, the behaviour of the crowd could be better understood and assessed. Also, in this way, possible abnormal conditions in the area can be predicted by monitoring each region and by setting off from the changes in the values of Braid entropy in time. The method was tested using the high-density crowd movements in the UCF database and results were presented.
- BildiriYalnız künye2018Network Master: A Versatile and User-Friendly Educational Software for Simulation of Neural Networks
Yildirim, Omer; Özcan, Zubeyir; Turhan, Hilal; Kayikçioglu, Temel
In this study, an interface in which neural networks consisting of biological cells could be modeled and simulated using Neuron hoc programming. With this interface, the resulting action potentials and the behavior of the nerve network can be investigated in detail by making the desired stimuli to mathematical models of neural networks. The most important feature of the work is that the designed interface is completely user friendly. Another advantage of this software is that users can easily perform simulations of the neural network models without writing code.
- BildiriYalnız künye2018IDENTITIES AND LIFESTYLES IN THE AGE OF MEDIATISATION: AN APPROACH OF UNIVERSAL PRAGMATICS FOR COMPERATIVE ANALYSIS OF MAGAZINE PAGES FROM USA AND TURKEY
Okuroglu, Mehmet Selahattin; Solik, M; Rybansky, R
As the communication apparatus of modern system, mass media is still determinative for forming and disseminating life-styles. Since the emergence of welfare societies, presentation of life-styles in media has been considered as a tool to make use of working masses' leisure to gain profit and consent. However, from the viewpoint of critical theory, situation is more complex, relating to every aspects of modern life and shaping the ways of socialisation worldwide. The theoretical approach can be offered as a frame for utilizing pragmatics which has been used relatively rare in media studies. Based on this approach, any selected texts or the meanings of texts are not significant, unless they are connected to actions in the society. Therefore, the subject of consideration should be the arguments to be presented to individuals prior to personal actions. To transfer the focus of analyse from the texts to the arguments and to the persuasion, as a linguistic and cognitive process experienced in social level, thematic units in media texts were identified and counted. These groups of symbols or words are the units motivating individuals to choose consumption agendas or life-styles. The method of analysis in this essay had been offered in a former essay of the author, in a theoretical level. In this study, the application of method was demonstrated on magazine contents. Along with the application, theoretical approach has been modified with the help of the author's doctoral thesis, as the theory of critical media literacy. The essay's problem is the examination of magazine contents as argumentation units of instrumentalist system. Accommodating instrumental rationality within the mediated communication, similar journalistic codes can be adopted by media organizations in different countries. Therefore, in the context of globalization, celebrities page of CNN news site from USA and magazine page (Kelebek) of Hurriyet news site from Turkey were analysed. These sites could be approved for any studies because of their outstanding roles in monopolistic media groups. In addition to this, CNN has a global recognition due to the central position of USA for the system. In this case, magazine content themes, which use to construct schemas of perception and coverage at all, has been analysed as indicators of a global process persisting from the centre to the periphery. Results supported such a common process with some local differences. The method of the study can be considered a tool to describe mediatisation as a global process.
- BildiriYalnız künye2018SOCIAL MEDIA USAGE OF BRANDS DURING THE COUP ATTEMPT: A STUDY ON TWITTER DURING JULY 15TH 2016 IN TURKEY
Aslan, Emre S.; Türten, Elif; Solik, M; Rybansky, R
Brands are a part of society because they are human made products so they are affected by social, political, cultural and military events. As a result they determine strategies to protect themselves, to continue to exist or to carry on developing. Social media management of brands have always been an issue of concern specially with the rise of social media, when their interaction with the society increased and they became more open to individual reactions. This study focuses on what kind of a position the brands took on social media during the coup attempt that happened in Turkey on 15th July, 2016. In this study, brands' Twitter use during 15th July, 2016 were examined and their attitude during crisis situations were tried to be determined and their strategies were tried to viewed. According to the results reached with the study it is observed that brands prefer to stay inactive during crisis.
- BildiriYalnız künye2018Cell Master: A Versatile and User-Friendly Educational Software for Simulation of Neuronal Dynamics
Özcan, Zubeyir; Kayikçioglu, Ilknur; Yildirim, Omer; Köse, Cemal; Kayikçioglu, Temel
In this study, A user-friendly, versatile and easily accessible educational software design was done by using NEURON hoc programming in order to investigate the dynamics, biophysical properties of nerve cells and their responses to various stimulation. With the help of interfaces which prepared for users to be assisted visually, it is aimed to be able to easily perform almost any application desired. This software allows users to perform their simulations without the need to write any code. Considering the features given in detail in the study, it has been suggested to use the software in neuroscience education.
- BildiriYalnız künye2018Considerations for professionalism of nursing students in clinical practices
Danaci, Esra; Ozturk, Esma Ayse; Masat, Sevil; Erdogan, Tugba Kavalali; Palazoglu, Cansu Atmaca; Koc, Zeliha; Nural, N
This is a descriptive study that aims to determine the factors affecting the professional behaviour of nursing students in clinical applications. The survey was conducted between 20 September and 20 December 2017 with the participation of 274 students studying in the Nursing Department of Health Sciences Faculty of a University. The data were collected using a questionnaire consisting of 18 questions and Nursing Students Professional Behaviours Scale (NSPBS). The mean age of the nursing students participated in the study was 20.67 +/- 1.88 years and 81.8% of the students were female while 18.2% were male. Of them, 78.5% loved their profession, 60.9% chose their profession willingly, 67.5% did not want to change their profession and 9.5% of them were members of professional associations and followed professional publications. The mean score of NSPBS was determined to be 122 (29-135). Hence, the nursing students' ability to perform professional behaviours was found to be high.
- BildiriYalnız künye2018Hourly Solar Irradiation Prediction by Artificial Neural Network Based on Similarity Analysis of Time Series
Ulutas, Ahsen; Çakmak, Recep; Altas, Ismail Hakki; Ozyildirim, BM; Yildirim, T
Solar energy is a renewable energy source which has intermittent and variable characteristic. Solar irradiation must be predicted in advance in an electrical grid which has solar energy based electrical power generation systems in order to operate the electrical grid stable and efficient. In this study, a multi-layered, feed forward artificial neural network (ANN) has been designed to predict the hourly solar irradiation of next day. The designed ANN has been trained by data which has been obtained via similarity analysis. Total solar irradiation on horizontal plane, relative humidity and temperature data of Trabzon province for 2015-2017 have been used as the training data set. Hourly solar irradiation prediction has been performed by utilizing the designed ANN and test data set. The prediction results have been evaluated as to root mean square (RMS), mean absolute error (MAE) and mean absolute percentage error (MAPE) performance criteria. The obtained performance criteria results show that the proposed ANN could make prediction with acceptable error.
- BildiriYalnız künye2018Reducing Urban Heat Islands by Developing Cool Pavements
Akpinar, Muhammet Vefa; Sevin, Sedat; Nizetic, S; Papadopoulos, A
- BildiriYalnız künye2018Comparison of Asphalt and Concrete Pavement Solar Reflectance
Akpinar, Muhammet Vefa; Sevin, Sedat; Nizetic, S; Papadopoulos, A
- BildiriYalnız künye2018Urban Heat Island Effects of Concrete Road and Asphalt Pavement Roads
Akpinar, Muhammet Vefa; Sevin, Sedat; Nizetic, S; Papadopoulos, A
- BildiriYalnız künye2018Health perception of nurses and affecting factors
Palazoglu, Cansu Atmaca; Kahraman, Beliz Yekeler; Elkoca, Ayse; Danaci, Esra; Nural, N
This study was carried out to determine the health perception of the nurses and the affecting factors. The study was carried out with the participation of 80 nurses working in the state hospital in Gumushane city centre. The data were collected using the nursing introductory information form and the 'The Perception of Health Scale'. In the analysis of the data, Kruskal-Wallis and Mann-Whitney U test with frequency, percentage, mean and standard deviation were used and in the examination of the relations between variables, Pearson correlation test from nonparametric methods was used. Of the nurses participating in the study, 92.5% were women, 7.5% were men, 46.3% were graduates, 68.8% loved their work, 62.5% were satisfied with the service and 60% worked in shifts. In literature research, sufficient numbers of studies were found to examine the health perception of nurses. It is recommended to increase the work in this area.
- BildiriYalnız künye2018R-peaks Detection with Convolutional Neural Network in Electrocardiogram Signal
Dogan, Ramazan Ozgur; Kayikçioglu, Temel
The performance of electrocardiogram applications is closely related to the succesful detection of R-peaks. Therefore, successful detection of R-peaks is of high importance. Electrocardiogram signals vary from person to person, so detection of R-peaks is getting difficult. In this study, Evolutionary Neural Network which is a deep learning model and imitates human vision, is used to detect R-peaks. The MIT-BIH Arrhythmia Database with 48 different records was used as the database and experimental results with very high accuracy were obtained.
- BildiriYalnız künye2018Detecting Cardiac Arrhythmia by Using Time Differences of Double Wavelength PPG Peaks
Yildirim, Omer; Kayikçioglu, Temel
Nowadays, photopletismogram (PPG) signals are used in respiration and blood pressure measurement, monitoring of the sleep pattern and also detecting of mental disorders, mainly blood oxygen saturation and heartrate measurement. The reason of the use of PPG signals instead of signals such as electroencephalogram (EEG) or electrocardiogram (ECG) is easy to obtain and real-time monitoring of these data, as well as being easily used by people in daily life and easily integrated into wearable technologies. In this study, detecting of cardiac arrhythmia was made successfully by using double wavelength PPG signals instead of ECG signals
- BildiriYalnız künye2018Behavior of T and X joints of elliptical hollow sections at both ambient and high temperatures
Ozyurt, E.; Wang, Y.C.; Heidarpour, A.; Zhao, X.-L.
This paper presents the results of a numerical study to develop a method to calculate the ultimate load carrying capacity of welded Elliptical Hollow Section (EHS) joints at elevated temperatures. Extensive numerical simulations, using the non-linear finite element package ABAQUS v6.14-1, have been conducted on EHS T-and X-joints subjected to brace axial compression or tension, considering a wide range of geometrical parameters, pre-stress in chord member and different type of joint orientations. The FE simulation results indicates that the equivalent RHS method is not appropriate for calculating the load carrying capacity of EHS joints at ambient temperature. At elevated temperatures, for T-and X-joints with braces welded to wide sides of chord, replacing the ambient temperature yield strength of steel by the elevated temperature value overestimates the ultimate load carrying capacity of axially loaded EHS T-and X-joints with compressive brace. Alternative design methods have been proposed.
- BildiriAçık Erişim2018Thermal modeling and verification of pv module temperature and energy yield using outdoor measurements for Ankara, Turkey
Tuncel, Bilge; Akinoglu, Bulent G.; Ozden, Talat; Balog, Robert S.
Ankara is in the Central Anatolia region of Turkey where the climate is dry-continental with an annual solar insolation of around 1750 kWh/m 2 . In the transition to renewable energy, detailed analyses are required to ensure effective and economic utilization of the available solar resource. An essential part of these analyses is to calculate expected energy yield. For photovoltaic (PV) systems, this includes the effect of temperature on the PV efficiency, which determines the power yield of the PV modules. In this study, a first-principles thermal modeling approach is improved by adding the speed and direction of wind across the PV module into a forced convection term as well as including the temperature dependency of the module conversion efficiency. The analytical model is based on the principle of conservation of energy and uses meteorological data that are readily available from most state meteorological services. The mathematical analysis is suitable to predict the performance of a proposed PV installation without the time and expense of installing and monitoring a pilot system. The mathematical model is compared against measured data from the METU-GUNAM Outdoor Test Facility in Ankara to validate the methodology. Preliminary analyses showed that the model performs well especially during sunrise and sunsets shoulders of the diurnal cycle with a deviation of only a few W/m 2 for the electrical power yield and about 2°C for the module temperature. However, these deviations could become as large as 12 W/m 2 and 8°C at solar noon which suggests that the model still requires further improvement. In general, this error was found to be less that obtained by using basic explicit correlation methods and offers the advantage that it can be used for other geographical environments for which insolation and meteorological data is available without needing to construct a test-site.