1,721,406 research outputs found
Hjelmslev et Brøndal. Rapport sur un différend
No full textRasmussen Michael. Hjelmslev et Brøndal. Rapport sur un différend. In: Langages, 22ᵉ année, n°86, 1987. A l'occasion d'un centenaire : Actualité de Brøndal. pp. 41-58
Hydraulic modeling and model predictive control using Neural Network
No full textNærværende rapport undersøger muligheden for hydraulisk modellering med neurale netværk, herunder hvorvidt det er muligt at foretage afstrømningsmodellering, vandstandsmodellering, backup og prognosticering af målte data. Yderligere demonstreres potentialet for, at basere en styring til afløbs- og vandløbsmodellering på neurale netværk.Til afstrømningsmodellering af vandføringen i Grejs Å er input af nedbør og tørkeindeks til det neurale netværk fundet fordelagtigt. Herigennem er en vandføringsprognose på op til 120 min muligt uden nævneværdig forringelse af modelkvaliteten.Til vandstandsmodellering af vandstanden i Vejle Havn er det vha. korrelerede vandstandsinput med en tidslig forsinkelse muligt at forudsige vandstanden med op til 420 min med neurale netværk. Her er et vandstandsinput suppleret med en vindfaktor vist markant forbedring af modelkvaliteten, især ved stuvningspåvirkning.Det er vha. neurale netværk muligt, at modellere vandstandskoten i Omløbsåen vha. vandstandsinput fra nærliggende vandstandsmålestationer samt styresignalet til fordelerbygværket. Derudover er det demonstreret, at styresignalet for fordelerbygværket kan estimeres på baggrund af omkringliggende vandstandsmålestationer. Dertil er det på baggrund af en fastsat kritisk kote muligt at foretage styring af fordelerbygværket med neurale netværk. Ydermere kan der med neurale netværk foretages modelprædiktiv styring af forderbygværket på baggrund af de prognosticerede data.The purpose of this project is to investigate how neural networks can be used for modelling of different hydrological problems in Vejle in relation to the utilization of real-time measurements. By this means, how well the neural network is sufficient in solving and finding the necessary interpretation and interaction between the included hydrological processes. This study examines the scenario of modelling the run-off to the stream Grejs Å by the use of neural network as the primary modelling tool, based on the input of precipitation from a nearby-located rain gauge. Furthermore, examination of a potential lead-time for the forecast of the water flow in Grejs Å due to the delay from precipitation to actual run-off. In addition, examination of modelling and forecast of the water level in Vejle harbor, based on the water level from other harbors correlated to the same conditions as Vejle. This mainly presupposes that the other harbors have similar locations in which the water level will be obtained, where forecast of the water level in Vejle harbor requires that a certain lead-time exists between the different harbors. Lastly, an examination of how well a neural network is suitable of controlling the weir that divide the water from Grejs Å into Mølleåen and Omløbsåen in order to reduce potential flooding caused in the Omløbsåen. The input to the neural network controlling the weir level is the previous modelled run-off in Grejs Å and water level in Vejle harbor. This project considers the type and processing of the input to the neural networks, in which more favourable results from the networks will be achieved. This is in order to examine what input that is preferred in relation to the focus of the specific case and type of system process.To examine this, different types of models and methods are to be included. Due to the uncertainty of the approach and processing, secondary models is incorporated in order to explore different effect to the affected systems. This includes the implementation of a linear reservoir model that has shown how different included processes affects the outcome of the model setup. This results in the design of a drought-index made of precipitation and evaporation. The achieved understanding of the influence of different processes is used in the creation of a better neural network for the modelling of run-off to Grejs Å. The network for forecast of water level in Vejle harbor is enhanced by the try of a self-designed wind-factor included as an input to the neural network. In addition, due to the lack of the position for the level of the weir at Grejs Å, a conceptual model (MIKE URBAN-model) has been created to produce suitable data as input to a neural network. This makes possible of examination and handling of the control and forecast for the weir level in which the ability of the neural network can be studied. The results show that neural networks is applicable as the primary modelling tool of run-off to the stream of Grejs Å, where the rain signal and self-designed drought-index is transformed into flow to the stream. The neural network shows a potential as a useful tool when combining similar signal types to estimate each other. This enables forecast of the water level in Vejle harbor by the use of secondary water level measurements from other harbors in combination with the self-designed wind factor. Finally, the neural networks shows that controlling of the weir at Grejs Å is possible as long as the requested input is available, including measurements or estimates of water level and flow and the corresponding position for the weir level. The production of these results presuppose that a thorough understanding and interpretation of the natural system exists. Additionally that the structure, configuration and processing of the input to the neural network is made appropriate to the specific case and furthermore that a certain amount of data is available for calibration and validation of the neural network
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Variations on the Author
Get PDF“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
Get PDFWe 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
Get PDFWe 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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