004 Datenverarbeitung; Informatik
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Linking mathematics with reality is not new. It is also not new to use outdoor activities to learn mathematics. It seems to be new, to combine such mathematical outdoor activities with mobile technology, like the geocache community which makes use of GPS technology to guide their members to special places and points of interest. The use of mobile technologies to learn at any time and any location is known as “mobile learning”. This type of learning can be seen as an extension of eLearning. Considering the definition of O’Malley one notices that this definition does not exactly match with the idea of the MathCityMap-Project (MCM), because the learning environment in the MCM-Project is predetermined. Combined with the math trail method the project enables mobile learning within math trails with latest technology.In the MCM-Project students experience mathematics at real places and within real situations in out-of-school activities,with help of GPS-enabled smartphones and special math problems. In contrast to the paper versions of math trails we are able to give direct feedback on the solutions by using “mobile devices” such as smartphones or tablets. If the user has difficulties in solving the modeling task, stepped hints can be provided. The teacher is able to use the MCM-Portal to upload tasks developed by himself or by his students and he is also able to build a personal math trail for his students.
Jeden Tag werden 2,5 Trillionen Bytes an Daten generiert. Diese enorme Menge an Daten wird beispielsweise durch digitale Bilder, Videos, Beiträge in den sozialen Medien, intelligente Sensoren, Einzelhandels- und Finanztransaktionen und GPS-Signale von Handys erzeugt. Das ist Big Data. Es besteht kein Zweifel daran, dass Big Data und das, was wir damit tun, das Potential hat, ein signifikanter Treiber für Innovationen und Wertschöpfung zu werden.
Inspiration for artificial biologically inspired computing is often drawn from neural systems. This article shows how to analyze neural systems using information theory with the aim of obtaining constraints that help to identify the algorithms run by neural systems and the information they represent. Algorithms and representations identified this way may then guide the design of biologically inspired computing systems. The material covered includes the necessary introduction to information theory and to the estimation of information-theoretic quantities from neural recordings. We then show how to analyze the information encoded in a system about its environment, and also discuss recent methodological developments on the question of how much information each agent carries about the environment either uniquely or redundantly or synergistically together with others. Last, we introduce the framework of local information dynamics, where information processing is partitioned into component processes of information storage, transfer, and modification – locally in space and time. We close by discussing example applications of these measures to neural data and other complex systems.
The presented work inside this thesis aims to raise the degree of automation in analog circuit design. Therefore, a framework was developed to provide the necessary mechanisms in order to carry out a fully automated analog circuit synthesis, i.e., the construction of an analog circuit fulfilling all previously defined (electrical) specifications. Nowadays, analog circuit design in general is a very time consuming process compared to a digital design flow. Due to its discrete nature, the digital design process is highly automated and thus very efficient compared to analog circuit design. In modern Very-Large-Scale integration (VLSI) circuits the analog parts are mostly just a small portion of the overall chip area. Although this small portion is known to consume a major part of the needed workforce. Paired with product cycles which constantly get shorter, the time needed to develop the analog parts of an integrated circuit (IC) becomes a determinant factor. Apart from this, the ongoing progress in semiconductor processing technologies promises more speed with less power consumption on smaller areas, forcing the IC developers to keep track with the technology nodes in order to maintain competitiveness. Analog circuitry exhibits the inherent property of being hard to reuse, as porting from one technology node to another imposes critical changes for operating conditions (e.g., supply voltage) - mostly leading to a full redesign for most of the analog modules. This productivity gap between digital and analog design resembles the primary motivation for this thesis. Due to the availability of commercial sizing tools, this work deliberately focuses on the construction of circuit topologies in distinction to parameter synthesis, which can be obtained with a dedicated sizing tool. The focus on circuit construction allows the development of a framework which allows a full design space exploration. This thesis describes the needed concepts and methods to realize a deterministic, explorative analog synthesis framework. Despite this, a reference implementation is presented, which demonstrates the applicability in current analog design flows.
Be it in the case of opening a website, sending an email, or high-frequency trading, bits and bytes of information have to cross numerous nodes at which micro-decisions are made. These decisions concern the most efficient path through the network, the processing speed, or the priority of incoming data packets.
Despite their multifaceted nature, micro-decisions are a dimension of control and surveillance in the twenty-first century that has received little critical attention. They represent the smallest unit and the technical precondition of a contemporary network politics – and of our potential opposition to it. The current debates regarding net neutrality and Edward Snowden’s revelation of NSA surveillance are only the tip of the iceberg. What is at stake is nothing less than the future of the Internet as we know it.
Angaben aus der Verlagsmeldung:
Ob beim Aufrufen einer Webseite, beim Versenden einer E-Mail oder beim Hochfrequenzhandel an der Börse: Auf ihrem Weg durch die Weiten digitaler Netze durchqueren Bits zahlreiche Knoten, an denen eine Reihe von Mikroentscheidungen getroffen werden. Diese Entscheidungen betreffen den besten Pfad zum Ziel, die Verarbeitungsgeschwindigkeit oder die Priorität zwischen den ankommenden Paketen.
In ihrer vielschichtigen Gestalt bilden solche Mikroentscheidungen eine bislang nur marginal beachtete Dimension von Kontrolle und Überwachung im 21. Jahrhundert. Sie sind sowohl die kleinste Einheit als auch die technische Voraussetzung einer gegenwärtigen Politik digitaler Netzwerke – und des Widerstands gegen sie. Die aktuellen Debatten um Netzneutralität und Edward Snowdens Enthüllung der NSA-Überwachung bilden dabei lediglich die Spitze des Eisbergs. Auf dem Spiel steht nicht weniger als die Zukunft des Internets, wie wir es kennen.
This paper provides a theoretical assessment of gestures in the context of authoring image-related hypertexts by example of the museum information system WikiNect. To this end, a first implementation of gestural writing based on image schemata is provided (Lakoff in Women, fire, and dangerous things: what categories reveal about the mind. University of Chicago Press, Chicago, 1987). Gestural writing is defined as a sort of coding in which propositions are only expressed by means of gestures. In this respect, it is shown that image schemata allow for bridging between natural language predicates and gestural manifestations. Further, it is demonstrated that gestural writing primarily focuses on the perceptual level of image descriptions (Hollink et al. in Int J Hum Comput Stud 61(5):601–626, 2004). By exploring the metaphorical potential of image schemata, it is finally illustrated how to extend the expressiveness of gestural writing in order to reach the conceptual level of image descriptions. In this context, the paper paves the way for implementing museum information systems like WikiNect as systems of kinetic hypertext authoring based on full-fledged gestural writing.
Different types of altruistic behavior, namely help-giving, altruistic punishment, and moral courage, are identifiable and distinguishable in the literature, but little is known how they relate to each other. This is significant because understanding altruism and other-regarding behavior is important in the attempt to solve global problems of overpopulation and depletion of natural resources. Understanding the helping forms of altruism (help-giving and sharing) can be helpful, for example, when designing donation collections or recruiting volunteers. Understanding the punitive forms of altruism (moral courage and altruistic punishment) gives valuable insight on individuals participating in campaigns where there is a need to take action, for example, against polluters or governments that violate human rights. The empirical evidence presented in this dissertation demonstrate individual and cultural differences in help-giving, altruistic punishment, and morally courageous behavior. The willingness to engage in the three types of altruistic behaviors relate differently to subjectively preferred thinking style and to personality traits, both in real-life and on the Internet. The divergencies are observable between Eastern (Indian) and Western (German) cultures, where the overlap of oneself and other individuals is experienced in different levels.