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Item Understanding the Effect of Assignment of Importance Scores of Evaluation Criteria Randomly in the Application of DOE-TOPSIS in Decision Making(2019) Ic, Yusuf Tansel; Yurdakul, Mustafa; 0000-0001-9274-7467; AGE-3003-2022In conventional applications of hybrid DoE-TOPSIS technique in decision making problems, full factorial design layouts are generally used because of their ability to measure the effects of all possible combinations for evaluation factors. In a typical application, for a design layout, a number of replications are generated by assigning different sets of relative importance scores for evaluation factors. A TOPSIS score is then obtained for each experiment and replication pair. Regression analysis is finally applied to obtain a relationship with inputs (values of evaluation factors) and outputs (alternatives' TOPSIS meta-model scores). The key in conventional application of hybrid DoE-TOPSIS technique is generation of relative importance scores. Each set of scores can be assigned by a decision maker or generated randomly. This paper aims to determine whether using either of the two methods in determination of relative importance scores makes any difference in the ranking orders of alternatives.Item Acoustic Scene Classification Using Spatial Pyramid Pooling With Convolutional Neural Networks(2019) Basbug, Ahmet Melih; Sert, Mustafa; 0000-0002-7056-4245; AAB-8673-2019Automatic understanding of audio events and acoustic scenes has been an active research topic for researchers from signal processing and machine learning communities. Recognition of acoustic scenes in the real life scenarios is a challenging task due to the diversity of environmental sounds and uncontrolled environments. Efficient methods and feature representations are needed to cope with these challenges. In this study, we address the acoustic scene classification of raw audio signal and propose a cascaded CNN architecture that uses spatial pyramid pooling (SPP, also referred to as spatial pyramid matching) method to aggregate local features coming from convolutional layers of the CNN. We use three well known audio features, namely MFCC, Mel Energy, and spectrogram to represent audio content and evaluate the effectiveness of our proposed CNN-SPP architecture on the DCASE 2018 acoustic scene performance dataset. Our results show that, the proposed CNN-SPP architecture with the spectrogram feature improves the classification accuracy.Item IS THERE A WAY OUT FOR THE TURKISH ECONOMY?(2019) Can, Ziya; 0000-0001-5919-4821; AAC-5504-2020International trade is one of the most important issues of macroeconomics. Almost all international trade theories have tried to determine which country produces what, for which price it sells its products to whom. In a number of theories, these inequalities are based on the differences between factor endowment, while in some others they result from technological development or capital accumulation. However, very few theories have revealed that these differences bear the traces of colonial period. Financial liberalization and the spread of international capital movements by the end of colonialism were major developments in the second half of the 20th century. It is no coincidence that these developments occurred simultaneously. The financial revolution has led to a new kind of relationship between capital owner countries and the others. This is a sort of centre-periphery relationship. Those peripheral countries are the ones that have been affected by the hitches of last slowdown of the world economy. Just like Argentina, Turkey has encountered problems such as the higher inflation rate and the inevitable rise in interest rates, following the melting down in currencies in 2018. Again, in the same period, in contrast with the conventional economic views, current account deficit shrank depending not on the increase in exports, but the dramatic decline in imports instead. As a result of all these occurrences, there was a great loss of prosperity in the country. This study investigates whether it is possible for countries depending on the foreign capital like Turkey and Argentina to follow an independent policy from the fluctuations in the economic conjuncture or not. Is it possible to develop permanent policies that will eliminate dependency on foreign capital, instead of familiar ones such as targeting in inflation, exchange rate or current account deficit? Which has a higher cost? To develop and implement these policies, or to sway in every wind?Item A Deep LSTM Approach for Activity Recognition(2019) Guney, Selda; Erdas, Cagatay Berke; 0000-0002-0573-1326; 0000-0003-3467-9923; AAC-7404-2020Since 1990s, activity recognition effectual field in machine learning literature. Most of studies that relevant activity recognition, use feature extraction method to achieve higher classification performance. Moreover, these studies mostly use traditional machine learning algorithms for classification. In this paper, we focus on a deep (Long Short Term Memory) LSTM neural network for feature free classification of seven daily activities by using raw data that collected from three-dimensional accelerometer. Based on the results, the proposed deep LSTM approach can classify raw data with high performance. The results show that the proposed deep LSTM approach achieved 91.34, 96.91, 88.78, 87.58 as percent classification performance in terms of accuracy, sensitivity, specificity, F-measure respectively.Item On computer-aided prognosis of septic shock from vital signs(2019) Ogul, Hasan; Baldominos, Alejandro; Asuroglu, Tunc; Colomo-Palacios, Ricardo; AAC-7834-2020Sepsis is a life-threatening condition due to the reaction to an infection. With certain changes in circulatory system, sepsis may progress to septic shock if it is left untreated. Therefore, early prognosis of septic shock may facilitate implementing correct treatment and prevent more serious complications. In this study, we assess the feasibility of applying a computer-aided prognosis system for septic shock. The system is envisaged as a tool to predict septic shock at the time of sepsis onset using only vital signs which are collected routinely in intensive care units (ICUs). To this end, we evaluate the performances of computational methods that take the sequence of vital signs acquired until sepsis onset as input and report the possibility of progressing to a septic shock before any further clinical analysis is performed. Results show that an adaptation of multivariate dynamic time warping can reveal higher accuracy than other known time-series classification methods on a new dataset built from a public ICU database. We argue that the use of computational intelligence methods can promote computer-aided prognosis of septic shock in hospitalized environment to a certain degree.Item Explaining intrapreneurial behaviors of employees with perceived organizational climate and testing the mediating role of organizational identification: A research study among employees of Turkish innovative firms(2014) Tastan, Secil Bal; Gucel, CemThis study examines perceived organizational climate and organizational identification as potential antecedents of employees' intrepreneurial behaviors. In particular, the study suggests positive relationships between perceived organizational climate components-structural support and recognition-and intrepreneurial behaviors construct. In addition, employees' organizational identification is suggested to have a mediating role on the relationship between organizational climate and intrepreneurial behaviors. The survey of this study is performed among employees working in high performing and innovative firms operating in White Good Manufacturing, Food and Drink, Telecommunication, and Textile industries in Turkey. The obtained data from the questionnaires are analyzed through the SPSS statistical packaged software. Analyses results revealed that both dimensions of organizational climate (structural support and organizational recognition) significantly and positively related to intrepreneurial behaviors and perceived organizational identification mediate the effects of the organizational climate on the intrepreneurial behaviors construct. (C) 2014 The Authors. Published by Elsevier Ltd.Item A study of middle grade students' performances in mathematical pattern tasks according to their grade level and pattern presentation context(2014) Altay, Mesture Kayhan; Akyuz, Esra Ozdemir; Erhan, Gonul KurtThe aim of the study is to investigate the Turkish middle grade students' performances in mathematical pattern tasks. It also aimed at revealing the differences in students' performances in terms of their grade level and pattern presentation contexttable, shape, word problem and numeric sequences. The study was conducted with two sixth, two seventh, and one eighth grade class from a private school located in the district of Cankaya in Ankara, Turkey. This study is a descriptive study which is aimed to describe some characteristics of the current sample. To collect the data a "mathematical pattern achievement test" (MPAT) was used. (C) 2013 The Authors. Published by Elsevier Ltd.Item How Elementary School Principals' Change Tendencies Are Related With Their Opinion About Curriculum Change(2014) Altun, Sadegul Akbaba; Buyukkurt, SenerLeadership is important in change process and change management. Turkish educational system is undergoing a constant change. One of those changes was the change of the elementary school curricula, which had been accepted in the 2004-2005 academic year. Therefore, it is important to understand how school principals, as the persons who are in charge of this change, handle this process. In this respect, this study was aimed to determine school principals' tendencies toward change. Furthermore, it will also be explored whether those tendencies show any significant differences on some variables. Finally, having incorporated school principals' views on curriculum, school principals' change tendencies will be interpreted within this change phenomenon. This study was designed with a mixed methodology. In order to understand school principals' tendencies toward change, a change tendency scale, developed by Akbaba-Altun and Buyukozturk (2011), was utilized. In addition, school principals were asked to narrate their opinions regarding the changed curricula and its reflections on practice. The quantitative data were analysed through descriptive and interpretive analysis whereas the qualitative data were analysed through content analysis. A total of 179 elementary school principals joined the quantitative part of this study, whereas 154 of them participated in the qualitative one. It was observed that school principals were generally homogenous in their change tendencies. Within this context, this finding was supported by the qualitative data, as well. (C) 2014 The Authors. Published by Elsevier Ltd.Item School Entry Age: 66 Months of Age for Literacy Skills(2014) Sert, NehirThe new Compulsory Education Law enacted in 2012 lowered school entry age from 72 months to 66 in Turkey. The interaction among age, schooling, and early literacy has been issue of interest. The aim of this study was to examine literacy development of first graders in terms of school entry age and pre-schooling. This qualitative case study was conducted at three primary schools in Ankara. One of them was a private primary school in which children of high income families attended. The other two were state primary schools; in one of which children of middle -income families, and in the other, children of low-income families attended. The data were collected through semi-structured interviews. The participants of the study were nine first grade teachers to give implications from classroom settings via their experiences. The curriculum guide and annual/daily lesson plans of grade 1 Turkish course were also analyzed. The findings indicated that the children below 72 months had shorter attention span and their literacy development took longer time. Effective literacy training at pre-school stage had positive influence on the literacy. (C) 2014 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/). Selection and peer-review under responsibility of the Organizing Committee of WCLTA 2013.Item Benefiting from the popular films integrated into the curriculum in boosting the efficacy of the social work education(2014) Nadir, UralBenefiting from visuals both in every facet of social sciences in broad terms and in social work education in narrow terms improves students learning significantly. It is a known fact that learning a material by heating, watching and discussing altogether can increase the efficiency of learning up to ninety per cent. Besides, it is aimed that especially the social work students whose curriculum is designed in a way that they can work with people from all aspects of life and with all kinds of problems are provided with different methods together with lectures and practical training. Thus, they graduate as people who are ready to work with different client and problem groups after a four-year-education. From this aspect, the effectiveness of adding both the materials which are specifically prepared for the lessons and the popular films for the general public to the syllabus is indisputable. It is stated in literature that integrating films into curriculum in various fields and providing students with audio and visual materials contributes to the effectiveness of learning outcomes. It is also possible to conic across various resources concerning making use of the popular films especially in the fields such as social problems, counseling skills, cultural studies, developmental psychology, clinical psychology and psychiatry. This paper specifically argues how integrating the popular films into the curriculum in the various fields of the social work education would affect the learning outcomes of the prospective social workers positively and supports the thesis with some sample cases and films. (C) 2014 The Authors. Published by Elsevier Ltd.