Knowledge in Computer Science (CS) is essential, and companies have increased their demands for CS professionals. Despite this, many jobs remain unfilled. Furthermore, employees with computational thinking (CT) skills...
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Knowledge in Computer Science (CS) is essential, and companies have increased their demands for CS professionals. Despite this, many jobs remain unfilled. Furthermore, employees with computational thinking (CT) skills are required, even if they are not actual technicians. Moreover, the gender disparity in technology related fields is a serious problem. Even if companies want to hire women in technology, the number of women who enter these fields is remarkably low. In high schools, most teenagers acquire only low-level skills in CS. Thus, they may never understand the fundamental concepts of CS, have unrealistic expectations or preconceptions, and are influenced by stereotype-based expectations. Consequently, many teenagers exclude computing as a career path. In this research study, we present two promising concepts to overcome these challenges. First, we consider alternative paths to enter the field of CS. In 2018, a voluntary lecture "Design your own app" at the university of Graz for students of all degree programs was introduced. In total, 202 students participated. We applied a Game Development-Based Learning (GDBL) approach with the visual coding tool Pocket Code, a mobile app developed at Graz university of technology. The students were supposed to create simple games directly on smartphones. The course received positive evaluations and led to our second concept;In January 2019, we started to design a MOOC (Massive Open Online Course) with the title "Get FIT in Computer Science". The MOOC will be launched in August 2019 on the platform *** and will provide a general introduction to the field of CS. For exercises and the final submission, the students need to apply game design strategies by using Pocket Code. The MOOC has several target groups. First, this course can be used to encourage young women who have little to no previous knowledge in CS. Second, it should help all teenagers to get a more realistic picture of CS to its basic concepts. Third, teache
Matchmaking and cooperation are interactions widely available within internet-based platforms. However, to start using such functionality, one must first become a member of the platform. In an effort to push matchmaki...
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Due to its high lethality amongst the elderly, the safety of nursing homes has been of central importance during the COVID-19 pandemic. With test procedures becoming available at scale, such as antigen or RT-LAMP test...
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This work presents a diagnosis method for detecting track circuits failures on a railway traffic line equipped with an Automatic Block Signalling installation. The diagnosis method uses the installation's electric...
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This work presents a diagnosis method for railway traffic security installations. More specifically, the authors present a series of diagnosis charts for passing signals on a railway block equipped with an automatic b...
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In this paper, we propose a novel approach for the domain of makeup-robust face recognition. Most face recognition schemes usually fail to generalize well on these data where there is a large difference between the tr...
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In this paper, we propose a novel approach for the domain of makeup-robust face recognition. Most face recognition schemes usually fail to generalize well on these data where there is a large difference between the training and testing sets, e.g., makeup changes. Our method focuses on the problem of determining whether face images before and after makeup refer to the same identity. The work on this fundamental research topic benefits various real-world applications, for example automated passport control, security in general, and surveillance. Experiments show that our method is highly effective in comparison to state-of-the-art methods.
We present a multi-modal Deep Neural Network (DNN) approach for bird song identification. The presented approach takes both audio samples and metadata as input. The audio is fed into a Convolutional Neural Network (CN...
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This paper presents a novel method for the discovery of new analytical filters suitable for filtering of noise in Monte Carlo rendering. Our method utilizes genetic programming to evolve the set of analytical filterin...
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The emergence of cyber physical systems in the manufacturing domain creates new requirements for shop floor devices. Due to their diverse structure, buildup a seamless communication is one major challenge. In recent y...
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The emergence of cyber physical systems in the manufacturing domain creates new requirements for shop floor devices. Due to their diverse structure, buildup a seamless communication is one major challenge. In recent years, several communication standards, e.g., OPC-UA, tried to tackle this issue. Until now, they have not fully developed their potential, because of inherent implementation complexity and specific formats, although well-known modeling standards such as UML exist. The presented approach aims to overcome this complexity by enabling an automatic transformation from UML class diagrams to OPC-UA information models using ATL and by extending UML to guarantee information preserving transformations.
A playbook in American Football can consist of hundreds of plays, and to learn each play and the corresponding assignments and responsibilities is a big challenge for the players. In this paper we propose a teaching t...
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