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Internet, Soziale Netzwerke, Spiele, Smartphones, DVDs, digitaler Rundfunk und digitales Fernsehen funktionieren nur deshalb, weil zu ihrer Entwicklung und Anwendung mathematisch abgesicherte Verfahren zur Verfügung stehen. Dieses Buch vermittelt Einsichten in grundlegende Konzepte und Methoden der Linearen Algebra, auf denen diese Verfahren beruhen. Am Beispiel fehlertoleranter Codierung wird einführend gezeigt, wie diese Konzepte und Methoden in der Praxis eingesetzt werden, und am Beispiel von Quantenalgorithmen, die möglicherweise in Zukunft eine Rolle spielen, wird deutlich, dass die Lineare Algebra zeitinvariante Konzepte, Methoden und Verfahren bereitstellt, mit denen IT-Technologien konzipiert, implementiert, angewendet und weiterentwickelt werden können. Wegen seiner didaktischen Elemente wie Vorgabe von Lernzielen, Zusammenfassungen, Marginalien und einer Vielzahl von Übungen mit Musterlösungen eignet sich das Buch nicht nur als Begleitlektüre zu entsprechenden Informatik- und Mathematik-Lehrveranstaltungen, sondern insbesondere auch zum Selbststudium.
Logiken, Mengen, Relationen, Funktionen, Induktion und Rekursion sind grundlegende mathematische Konzepte und Methoden, die in allen Bereichen der Informatik für die Beschreibung von Problemen und deren Lösung benötigt werden. Das Beherrschen dieser Konzepte und Methoden ist Voraussetzung für das Studium fast aller weiteren Informatik-Module, nicht nur in Bereichen der Mathematik und der Theoretischen Informatik, sondern auch in Bereichen der Praktischen Informatik, wie z.B. Programmierung, Datenstrukturen, Algorithmen und Datenbanken. Das Buch stellt die grundlegenden Begriffe, ihre Eigenschaften und Anwendungsmöglichkeiten schrittweise vor. Das Verständnis der Begriffe und deren Zusammenhang und Zusammenwirken wird u.a. durch Lernziele, integrierte Übungsaufgaben mit Musterlösungen und Marginalien unterstützt; das Buch ist zum Selbststudium geeignet.
Generating and visualizing large areas of vegetation that look natural makes terrain surfaces much more realistic. However, this is a challenging field in computer graphics, because ecological systems are complex and visually appealing plant models are geometrically detailed. This work presents Silva (System for the Instantiation of Large Vegetated Areas), a system to generate and visualize large vegetated areas based on the ecological surrounding. Silva generates vegetation on Wang-tiles with associated reusable distributions enabling multi-level instantiation. This paper presents a method to generate Poisson Disc Distributions (PDDs) with variable radii on Wang-tile sets (without a global optimization) that is able to generate seamless tilings. Because Silva has a freely configurable generation pipeline and can consider plant neighborhoods it is able to incorporate arbitrary abiotic and biotic components during generation. Based on multi-levelinstancing and nested kd-trees, the distributions on the Wang-tiles allow their acceleration structures to be reused during visualization. This enables Silva to visualize large vegetated areas of several hundred square kilometers with low render times and a small memory footprint.
This paper presents recent research on an active multispectral scanning sensor capable of classifying an object's surface material in order to distinguish between different kinds of materials and human skin. The sensor itself has already been presented in previous work and can be used in conjunction with safeguarding equipment at manually-fed machines or robot workplaces, for example. This work shows how an extended sensor system with advanced material classifiers can be used to provide additional value by distinguishing different materials of work pieces in order to suggest different tools or parameters for the machine (e.g. the use of a different saw blade or rotation speed at table saws). Additionally, a first implementation and evaluation of an active multispectral camera system addressing new safety applications is described. Both approaches intend to increase the productivity and the user's acceptance of the sensor technology.
In this paper we present the steps towards a well-designed concept of a 5VR6 system for school experiments in scientific domains like physics, biology and chemistry. The steps include the analysis of system requirements in general, the analysis of school experiments and the analysis of input and output devices demands. Based on the results of these steps we show a taxonomy of school experiments and provide a comparison between several currently available devices which can be used for building such a system. We also compare the advantages and shortcomings of 5VR6 and 5AR6 systems in general to show why, in our opinion, 5VR6 systems are better suited for school-use.
Embodied artificial agents operating in dynamic, real-world environments need architectures that support the special requirements that exist for them. Architectures are not always designed from scratch and the system then implemented all at once, but rather, a step-wise integration of components is often made to increase functionality. Our work aims to increase flexibility and robustness by integrating a task planner into an existing architecture and coupling the planning process with the preexisting execution and the basic monitoring processes. This involved the conversion of monolithic SMACH scenario scripts (state-machine execution scripts) into modular states that can be called dynamically based on the plan that was generated by the planning process. The procedural knowledge encoded in such state machines was used to model the planning domain for two RoboCup@Home scenarios on a Care-O-Bot 3 robot [GRH+08]. This was done for the JSHOP2 [IN03] hierarchical task network (HTN) planner. A component which iterates through a generated plan and calls the appropriate SMACH states [Fie11] was implemented, thus enabling the scenarios. Crucially, individual monitoring actions which enable the robot to monitor the execution of the actions were designed and included, thus providing additional robustness.