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Öğe Use of satellite images for forest fires in area determination and monitoring(IEEE, 2009) Güre, Mülayim; Özel, Mehmet Emin; Yildirim, H. Hülya; Özdemir, Muzaffer; Kurnaz, S.; İnce, F.; Onbasioglu, S; Basturk, SIn Mediterranean climate regions, forest fires are quite common in summer months due to increases in air temperature. Reforestation of fire areas are a constitutional obligation in Turkey. Identification as well as the follow-up rehabilitation efforts can be carried out by remote sensing techniques in economic and practical ways. In the present study, the images from LANDSAT and ASTER satellites were used in the determination of areal extentions and levels of damages due to recent forest fires in October 2008 in Canakkale Province of Turkey. Our findings arc compared with the official forest fire records by Canakkale Forest Administration Office. Potential use of satellite images and related image processing and GIS techniques in the past and present forest fire identification and rehabilitation efforts are discussed and their possible use in the application of recent forest law amendments (known as 2B) are evaluated.Öğe Breakıng free of the classroom: ımplementıng dıgıtal medıa to enhance students' ınvolvement ın learnıng mathematıcs(IATED-INT ASSOC TECHNOLOGY EDUCATION A& DEVELOPMENT, 2016) Godejord, Beata; Gonzalez-Perez, Alicia; Figueiredo, Mauro; Solmaz, Arif; Chova, LG; Martinez, AL; Torres, ICThis paper is related the qualitative evaluation of the Erasmus+ project MILAGE "Interactive Mathematics by implementing a Blended-Learning model with Augmented Reality and Game books". Presented evaluation summarizes the first year of project realisation in selected upper secondary schools in Norway, Portugal and Spain. The analysis focuses on students' perceptions of the use of digital media for producing and sharing digital learning content for mathematics. The aim of the research is to develop an insight in students' attitudes, feelings and opinions on learning experience resulting from the engagement in the first year of the project activities, which, on the analysed stage, included production and sharing of videos presenting solutions to mathematical problems included in the curriculum for the first grade of upper secondary schools. These videos will be elements of a summative digital learning resource, which will cover curriculum in mathematics for upper secondary schools in the form of an e-book and an educational application for mobile use. To obtain perceptions on the defined area of interest, the involved researchers conducted focus groups with selected students and interpreted collected documents with the aid of computer-supported qualitative content analysis techniques. This article presents themes that emerged in the responses and seeks to outline discussion that would contribute to successful implementation of project goals in the following years of its realisation.Öğe Dynamical gene-environment networks under ellipsoidal uncertainty: set-theoretic regression analysis based on ellipsoidal or(Sprınger-Verlag Berlın, 2011) Kropat, Erik; Weber, Gerhard-Wilhelm; Belen, Selma; Peixoto, MM; Pinto, AA; Rand, DAWe consider dynamical gene-environment networks under ellipsoidal uncertainty and discuss the corresponding set-theoretic regression models. Clustering techniques are applied for an identification of functionally related groups of genes and environmental factors. Clusters can partially overlap as single genes possibly regulate multiple groups of data items. The uncertain states of cluster elements are represented in terms of ellipsoids referring to stochastic dependencies between the multivariate data variables. The time-dependent behaviour of the system variables and clusters is determined by a regulatory system with (affine-) linear coupling rules. Explicit representations of the uncertain multivariate future states of the system are calculated by ellipsoidal calculus. Various set-theoretic regression models are introduced in order to estimate the unknown system parameters. Hereby, we extend our Ellipsoidal Operations Research previously introduced for gene-environment networks of strictly disjoint clusters to possibly overlapping clusters. We analyze the corresponding optimization problems, in particular in view of their solvability by interior point methods and semidefinite programming and we conclude with a discussion of structural frontiers and future research challenges.
