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Article STUDY ON CLOUD COMPUTING PERCEPTION OF TURKISH IT SECTOR(Univ Osijek, Tech Fac, 2016) Okan, Aylin Akca; Hacaloglu, Tuna; Yazici, AliIn this paper an empirical study was carried out to study the Cloud Computing (CC) perception in Turkey. To this extent this study intends to determine the perception of Information Technology decision makers such as Chief Executive Officers and Chief Information Officers by means of a survey by questionnaire approach to explore 98 both public and private IT executives' understandings and concerns about CC. The survey aims to determine how CC is perceived by public or private organizations that are already involved in the e-transformation process. Major results of the study are as follows: both public and private sector executives have positive perception over adoption of CC, participants think that especially web, e-mail, data storage and process management applications are adequate for CC. Lack of well-educated and experienced staff is found to be the common barrier on adopting CC by both public and private sector participants.Article Citation - WoS: 4Citation - Scopus: 7The Integrated Usage of Lbp and Hog Transformations and Machine Learning Algorithms for Age Range Prediction From Facial Images(Univ Osijek, Tech Fac, 2018) Khalifa, Tariq; Sengul, GokhanAge prediction is an active study field that can be used in many computer vision problems due to its importance and effectiveness. In this paper, we present extensive experiments and provide an efficient and accurate approach for age range prediction of people from facial images. First, we apply image resizing to unify all images' size, and Histogram Equalization technique to reduce the illumination effects on all facial images taken from FG-NET and UTD aging databases. Second, Histogram of Oriented Gradient (HOG) and Local Binary Pattern (LBP) are used to extract the features of these images, and then we combined both HOG and LBP features in order to attain better prediction. Finally, Support Vector Machine (SVM) and k-Nearest Neighbour (k-NN) are used for the classification processes. In addition, k-fold, Leave-One-Out (LOO) and Confusion Matrix (CM) are used to evaluate the performance of proposed methods. The extensive and intensified experiments show that combining HOG and LBP features improved the age range predicting performance up to 99.87%.Article Citation - WoS: 1Citation - Scopus: 3Lessons From Intensive Educational Experiences for Ict Students in Multinational Settings(Univ Osijek, Tech Fac, 2017) Fernandez, Luis; Amelio Medina, Jose; Villalba de Benito, Maria Teresa; Misra, SanjayReal internationalization of education is the current challenge for students, teachers and universities in Europe after assuming the implementation of the EHEA (European Higher Education Area). The Erasmus programme has been playing a key role in exposing stakeholders to European internationalization. Although the large global figures of the programme are frequently analyzed, it is important to study the effects of the participation in exchange programs on students and teachers. Erasmus Intensive programs enable a closer look at the daily experience of students. In this article, we analyse the effects of intensive international programs on participants' perceptions and attitudes referred to international and multicultural working environments. Data for the analysis were collected through several experiences where ICT students were involved in intensive multinational programs. Results from 125 students using pre- and post-experience questionnaires show interesting benefits of participating in intensive experiences before starting longer or more challenging activities: they feel more motivated to be engaged in semester long staying or professional work abroad, less worries about how to work in multicultural settings, increment in self-confidence, etc.Article Citation - WoS: 13Citation - Scopus: 29DEMAND FORECASTING: A COMPARISON BETWEEN THE HOLT-WINTERS, TREND ANALYSIS AND DECOMPOSITION MODELS(Univ Osijek, Tech Fac, 2017) Tirkes, Guzin; Guray, Cenk; Celebi, Nes'eIn food production industry, forecasting the timing of demands is crucial in planning production scheduling to satisfy customer needs on time. In the literature, several statistical models have been used in demand forecasting in Food and Beverage (F&B) industry and the choice of the most suitable forecasting model remains a central concern. In this context, this article aims to compare the performances between Trend Analysis, Decomposition and Holt-Winters (HW) models for the prediction of a time series formed by a group of jam and sherbet product demands. Data comprised the series of monthly sales from January 2013 to December 2014 obtained from a private company. As performance measures, metric analysis of the Mean Absolute Percentage Error (MAPE) is used. In this study, the HW and Decomposition models obtained better results regarding the performance metrics.Article Citation - WoS: 7Citation - Scopus: 11Software Project Scheduling Using the Hyper-Cube Ant Colony Optimization Algorithm(Univ Osijek, Tech Fac, 2015) Crawford, Broderick; Soto, Ricardo; Johnson, Franklin; Misra, Sanjay; Paredes, Fernando; Olguin, EduardoThis paper introduces a proposal of design of Ant Colony Optimization algorithm paradigm using Hyper-Cube framework to solve the Software Project Scheduling Problem. This NP-hard problem consists in assigning tasks to employees in order to minimize the project duration and its overall cost. This assignment must satisfy the problem constraints and precedence between tasks. The approach presented here employs the Hyper-Cube framework in order to establish an explicitly multidimensional space to control the ant behaviour. This allows us to autonomously handle the exploration of the search space with the aim of reaching encouraging solutions.Article Citation - WoS: 1Citation - Scopus: 2Software Evolution in Turkey(Univ Osijek, Tech Fac, 2016) Mishra, Alok; Yazici, Ali; Cetin, SemihAccording to a recent Gartner report, Turkey is now to be considered in one of the world's outsourcing destinations since it has secured its place in the list of top 30 countries for Information Technology ( IT), and offshore services. In the last decade, the country has made excellent progress in the software sector, and this is reflected in the rise of its exports to many countries. In this article, we present an overview of advancement of Turkey's software sector, including current trends in software process, testing, quality, and the adoption of agile methods along with techno parks and incentives provided by the government.Article Citation - WoS: 6Citation - Scopus: 7Impact of Education on Security Practices in Ict(Univ Osijek, Tech Fac, 2015) Bostan, Atila; Akman, IbrahimIn assuring the security in information technology, user awareness and acquired-user habits are inevitable components, yet they may be qualified as the feeblest ones. As the information technology tries to put its best in providing maximum security, user awareness plays a key-role. Additionally, although the literature provides studies on approaches for teaching information security, there are not many evidences on the impact of education level. Therefore, this study investigates the impact of the education level on user security awareness in using the Information and Communication Technology (ICT) products. For this purpose, a survey was conducted among 433 citizens from different layers of the society. Interestingly, the results indicated that education level has significant impact on all security issues included in the analysis regarding computer usage, web usage and e-mail usage.Article Citation - WoS: 5Citation - Scopus: 8Solving the Software Project Scheduling Problem Using Intelligent Water Drops(Univ Osijek, Tech Fac, 2018) Crawford, Broderick; Soto, Ricardo; Astorga, Gino; Castro, Carlos; Paredes, Fernando; Misra, Sanjay; Rubio, Jose-MiguelWithin the category of project scheduling problems, there is a specific problem within the software industry referred to as the software project scheduling problem. The problem consists in the correct allocation of employees to the different tasks that make up a software project, bearing in mind time and cost restraints. To achieve this goal, the present work first uses metaheuristic intelligent water drops illustrating; this is a recent stochastic swarm-based method increasingly used for solving optimization problems. Finally, the results and comparisons with experiments performed with other techniques are presented, demonstrating the solidity of the approach presented.Article Citation - WoS: 4Citation - Scopus: 6A Teaching-Learning Optimization Algorithm for the Weighted Set-Covering Problem(Univ Osijek, Tech Fac, 2020) Crawford, Broderick; Soto, Ricardo; Palma, Wenceslao; Aballay, Felipe; Astorga, Gino; Lemus-Romani, Jose; Rubio, Jose-MiguelThe need to make good use of resources has allowed metaheuristics to become a tool to achieve this goal. There are a number of complex problems to solve, among which is the Set-Covering Problem, which is a representation of a type of combinatorial optimization problem, which has been applied to several real industrial problems. We use a binary version of the optimization algorithm based on teaching and learning to solve the problem, incorporating various binarization schemes, in order to solve the binary problem. In this paper, several binarization techniques are implemented in the teaching/learning based optimization algorithm, which presents only the minimum parameters to be configured such as the population and number of iterations to be evaluated. The performance of metaheuristic was evaluated through 65 benchmark instances. The results obtained are promising compared to those found in the literature.
