This paper proposes a novel approach to recognize actions and objects within the context of each other. Assuming that the different actions involve different objects in image sequences and there is one-to-one relation between object and action type we present a Bayesian network based framework which combines motion patterns and object usage information to recognize actions/objects. More specifically our approach recognizes high-level actions and the related objects without any body-part segmentation ...

The course concepts introduced in this contribution were implemented in 2011 in a university in Turkey and show an approach for integrating mobile learning modules in higher education. The results of the course show the advantages as well as potential for improvement of the system and the use of it in higher education.

This paper presents frameworks for developing a Strategic Early Warning System allowing the estimatation of the future state of the milk market. Thus this research is in line with the recent call from the EU commission for tools which help to better address such a highly volatile market. We applied different multivariate time series regression and Bayesian networks on a pre-determined map of relations between macro economic indicators. The evaluation of our findings with root mean square error ...

In this chapter, we present a novel and realistic channel modeling approach for visible light communications that overcomes the limitations of previous works. In our work, we consider wavelength dependency, effect of realistic light sources as well as different types of reflections such as specular and mixed cases of diffuse and specular. We use nonsequential ray tracing algorithms to calculate the detected power and path lengths from source to detector for each ray. These are then processed to ...

This paper is about the design and implementation of an examination system based on World Wide Web. It is called FLEX-Flight License Exam Software. We designed and implemented flexible and modular software architecture. The implemented system has basic specifications such as appending questions in system building exams with these appended questions and making students to take these exams. There are three different types of users with different authorizations. These are system administrator operators ...

Fredrickson's (Rev Gen Psychol 2: 300-319, 1998, Am Psychol 56: 218226, 2001) Broaden and Build Theory (BBT) proposes that experiencing positive affect results in broadened thoughts and behaviors, which facilitate adaptive responses to various environmental conditions. The present chapter tests the applicability of this theory for school engagement in an acculturation context and examines whether or to what extent positive affect also facilitates school engagement for 201 Turkish-Bulgarian adolescents ...

This paper presents a new approach for off-line signature verification based on a hybrid neural network (Conic Section Function Neural Network-CSFNN). Artificial Neural Networks (ANNs) have recently become a very important method for classification and verification problems. In this work CSFNN was proposed for the signature verification and compared with two well known neural network architectures (Multilayer Perceptron-MLP and Radial Basis Function-RBF Networks). The proposed system was trained ...

Mobile learning applications are widely used in various levels of education process. In developing and developed countries educational institutions use tablets and personal computers for supporting learning processes. Mobile learning practices are generally used for overcoming time-space constraints in traditional learning process. This study covers both lecturer's and students' tablet usages and achievements of tablet usage on Introduction to New Media Course in Kadir Has University undergraduate ...