Collaborative filtering in a recommender system has a weakness called cold start problem. One way to resolve this problem is by using personality traits that can be automatically predicted from the status that the use...
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ISBN:
(纸本)9781450371797
Collaborative filtering in a recommender system has a weakness called cold start problem. One way to resolve this problem is by using personality traits that can be automatically predicted from the status that the users write in social media like Facebook and Twitter. The problem with this method is that a user of such system must have at least one account in at least one social media and must write at least one status with certain length. We propose to use the combination of personality traits and demographic data to overcome this problem. Previous studies reveal that personality traits are influenced by age and gender. By using these findings, we will build models to predict personality traits from such demographic data. The modeling will be conducted by means of classification and association rule methods. Novel domains will be used in the proposed system, namely sports and hobbies.
Given the increasing importance of multi-energy carrier system modeling, this paper focuses on modeling the dynamics that occur in natural gas transmission lines. In high-pressure pipelines, these dynamics are governe...
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ISBN:
(纸本)9781538636695
Given the increasing importance of multi-energy carrier system modeling, this paper focuses on modeling the dynamics that occur in natural gas transmission lines. In high-pressure pipelines, these dynamics are governed by a set of hyperbolic partial differential equations. Dissipative finite volume discretization schemes are proposed that honor the discrete maximum principle. The convergence of the proposed discretization schemes is investigated and compared with existing methods suggested in the literature for natural gas transmission such as the implicit cell-centered method. High order time discretization methods are also tested and their suitability with respect to the maximum principle is discussed.
Context. Expert sourcing is a novel approach to support quality assurance: it relies on methods and tooling from crowdsourcing research to split model quality assurance tasks and parallelize task execution across seve...
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In model-driven engineering (MDE), models are mostly used in prescriptive ways for system engineering. While prescriptive models are indeed an important ingredient to realize a system, for later phases in the systems...
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This work presents two methods to find the induced excess voltage in a synchronous generator operating winding during a sudden three-phase shortening of the fixed coil winding. The accidental occurrence of this workin...
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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...
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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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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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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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