1,720,972 research outputs found
Bewertung industrieller Trocknungsprozesse
No full textEDUAR&D, kurz für „Energiedaten und -analyse R&D“, ist die im Rahmen des Projekts EE4InG genutzte Methodik zur Bewertung von vielversprechenden Technologien, die potenziell zu einer erheblichen Senkung des Energiebedarfs und/oder der Treibhausgasemissionen in den Forschungsfeldern (und teilweise darüber hinaus) beitragen könnten. EDUAR&D ist ein strukturierter Such- und Analyseprozess, der verschiedenste methodische Ansätze zur Darstellung, Analyse und Bewertung der Technologien miteinander verbindet. Dabei muss nicht zwangsläufig jede EDUAR&D-Analyse das gesamte Tableau der zur Verfügung stehenden Optionen nutzen: dies ist teilweise abhängig von den zur Verfügung stehenden Informationsquellen. Ziel ist es, Handlungsempfehlungen (z. B. bzgl. thematischer Schwerpunktsetzungen, Intensivierung bestehender Förderungen, etc.) insbesondere für die zukünftige Energieforschung des Bundes abzuleiten. Die EDUAR&D-Methodik wurde im Auftrag des BMWi am Fraunhofer Institut für System- und Innovationsforschung entwickelt
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Needs-based and energy efficient parts drying using process monitoring and control
Full text linkDrying is a critical operation across a wide range of industries, including agriculture, food, pharmaceuticals, and metalworking. Despite its importance, drying remains one of the least understood industrial processes due to the complexity of the physical phenomena involved. In the metalworking industry, drying within the context of parts cleaning plays a vital role in ensuring the success of downstream processes like coating and joining. However, the parts drying process is commonly configured in manual iterations or based on expert knowledge. Since ensuring sufficient process quality often implies overdrying, this situation leads to a target conflict between reducing the process’ energy consumption and its configuration effort. Given increasing pressures to
reduce industrial carbon emissions, the primary objective of this dissertation is to enable energy savings in convective parts drying processes in throughput cleaning machines.
Against this backdrop, solutions for energy-efficient and needs-based convective parts drying in throughput cleaning machines are developed and implemented. First, a systematic method for describing the dryness level of parts, which is automatically monitored via two distinct developed approaches. The first is a machine-learning-based virtual sensor, which uses low-cost sensors to predict dryness levels. The second is a thermography-based computer vision system that assesses the part dryness based on infrared images of the dried parts.
Finally, a closed-loop fuzzy logic controller is developed, designed to mimic human decision-making in adjusting the drying process. The controller uses the dryness predicted by the virtual sensor to achieve the target dryness via an energy efficient parameter selection. Field tests reveal that the proposed control system reduces energy consumption of the drying system by more than 60% compared to the corresponding uncontrolled reference process, exhibiting the potential for substantial energy savings
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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