50 research outputs found

    Herausforderung Climate Engineering – Bewertung neuer Optionen für den Klimaschutz

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    [Einleitung] Der Begriff Climate Engineering (CE) fasst verschiedene Technologien zusammen, mit denen bewusst in das Klimasystem der Erde eingegriffen wird, um den anthropogenen Klimawandel zu begrenzen. Dabei lassen sich die CE-Technologien von den herkömmlichen Vermeidungs- und Anpassungsmaßnahmen durch die Tatsache abgrenzen, dass sie ansetzen, nachdem Treibhausgase in die Atmosphäre emittiert wurden, aber bevor es zu einer Anpassung an die Auswirkungen des Klimawandels kommt (Keith 2000). Sie können danach in zwei Gruppen eingeteilt werden, je nachdem ob sie eingesetzt werden, um die atmosphärische Treibhausgaskonzentration zu senken - und damit die Ursache des Klimawandels zurückzuführen - oder ob sie eingesetzt werden, um in die Strahlungsbilanz der Erde einzugreifen und damit die Symptome des Klimawandels abzumildern. Die Technologien der ersten Gruppe werden als Carbon Dioxid Removal (CDR)-Technologien und jene der anderen als Radiation Management (RM)-Technologien bezeichnet. Dabei ist Radiation Management der weitere Begriff, da sowohl Technologien zur direkten Beeinflussung der kurzwelligen (SRM) als auch der langwelligen (TRM) Strahlung beinhaltet sind. Entsprechend könnten Technologien zur ursächlichen Rückführung des Klimawandels eigentlich auch als Concentration Management bezeichnet werden, da theoretisch die atmosphärische Konzentration verschiedener Treibhausgase manipuliert werden könnte (Rickels et al. 2011: 41). Da aber derzeit nur die Konzentration von Kohlendioxid (CO2) beeinflusst wird, wird in der vorliegenden Studie der engere Begriff CDR verwendet. [...

    Which States Matter? An Application of an Intelligent Discretization Method to Solve a Continuous POMDP in Conservation Biology

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    When managing populations of threatened species, conservation managers seek to make the best conservation decisions to avoid extinction. Making the best decision is difficult because the true population size and the effects of management are uncertain. Managers must allocate limited resources between actively protecting the species and monitoring. Resources spent on monitoring reduce expenditure on management that could be used to directly improve species persistence. However monitoring may prevent sub-optimal management actions being taken as a result of observation error. Partially observable Markov decision processes (POMDPs) can optimize management for populations with partial detectability, but the solution methods can only be applied when there are few discrete states. We use the Continuous U-Tree (CU-Tree) algorithm to discretely represent a continuous state space by using only the states that are necessary to maintain an optimal management policy. We exploit the compact discretization created by CU-Tree to solve a POMDP on the original continuous state space. We apply our method to a population of sea otters and explore the trade-off between allocating resources to management and monitoring. We show that accurately discovering the population size is less important than management for the long term survival of our otter population

    Towards Linked Language Data for Digital Humanities

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    Emotion dimensions and formant position

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    The influence of emotion on articulatory precision was investigated in a newly established corpus of acted emotional speech. The frequencies of the first and second formant of the vowels /i/, /u/, and /a/ was measured and shown to be significantly affected by emotion dimension. High arousal resulted in a higher mean F1 in all vowels, whereas positive valence resulted in higher mean values for F2. The dimension potency/control showed a pattern of effects that was consistent with a larger vocalic triangle for emotions high in potency/control. The results are interpreted in the context of Scherer's component process model

    Pitch adaptation in different age groups: boundary tones versus global pitch

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    Linguistic adaptation is a process by which interlocutors adjust their production to their environment. In the context of humancomputer interaction, past research showed that adult speakers adapt to computer speech in various manners but less is known about younger age groups. We report the results of three priming experiments in which children in different age groups interacted with a prerecorded computer voice. The goal of the experiments was to determine to what extent children copy the pitch properties of the interlocutor. Based on the dialogue model of Pickering & Garrod, we predicted that children would be more likely to adapt to pitch primes that were meaningful in the context (high or low boundary tone) compared to primes with no apparent functionality (global pitch manipulation). This prediction was confirmed by our data. Moreover, we observed a decreasing trend in adaptation in the older age groups compared to the younger ones

    Towards Eliminating Manual Color Calibration at RoboCup

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    Did you say a BLUE banana? The prosody of contrast and abnormality in Bulgarian and Dutch

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    In a production experiment on Bulgarian that was based on a previous study on Dutch [1], we investigated the role of prosody when linguistic and extra-linguistic information coincide or contradict. Speakers described abnormally colored fruits in conditions where contrastive focus and discourse relations were varied. We found that the coincidence of contrast and abnormality enhances accentuation in Bulgarian as it did in Dutch. Surprisingly, when both factors are in conflict, the prosodic prominence of abnormality often overruled focus accentuation in both Bulgarian and Dutch, though the languages also show marked differences
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