1,720,955 research outputs found
Models and Prepared Datasets for Modeling Heat Plumes of Heat Pumps with varying Flow Directions
No full textPrepared datasets and models for modeling orientational variation in heat plume prediction in groundwater.
Models were trained with 1HP NN equivariance.
File name explanation:
4d
The (used) dataset encompasses only cardinal flow directions.
rd
The (used) dataset encompasses random flow directions in the 2D plane.
1000dp
The (used) dataset consists of 1000 data points.
100dp
The (used) dataset consists of 100 data points.
pksi
The input data fields: liquid pressure, permeability, position of the heat pump, and normalized distance to the heat pump.
BaselineCNN
The model is trained without any modification to architecture/training procedure.
DataAugmentation
The model is trained using data augmentation where rotated variations of the original data were added to the training data.
OrientedBoxes
For this model, during both training and inference, the input data is aligned to a chosen orientation.
ECNN
The model uses the Equivariant Convolutional Neural Network (ECNN) architecture.
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Raw Data for Modeling Heat Plumes of Heat Pumps with varying Flow Directions
No full textRaw datasets for modeling orientational variation in heat plume prediction in groundwater.
Used with 1HP NN equivariance.
File name explanation:
4d
The dataset encompasses only cardinal flow directions.
rd
The dataset encompasses random flow directions in the 2D plane.
1000dp
The dataset consists of 1000 data points.
</dl
Rotational equivariance in Convolutional Neural Networks (CNNs) for modelling heat plumes of heat pumps in groundwater
No full textThe growing frequency of weather anomalies driven by climate change necessitates energy-efficient heating solutions to reduce carbon emissions. Geothermal heat pumps offer an ecological alternative, but their installation requires precise planning to avoid negative impacts on groundwater. Pelzer and Schulte proposed a Convolutional Neural Network (CNN) to predict steady-state heat plumes from these heat pumps, but their model isn't built to generalize across varying input orientations.
To address this limitation, we introduce three approaches: (1) the Oriented Boxes approach, which rotates input data during inference to match a fixed training orientation; (2) the Data Augmentation approach, which extends the training dataset with rotated data samples; and (3) the Equivariant Convolutional Neural Network (ECNN) approach, which directly incorporates rotational equivariance into the network architecture.
Evaluated on metrics such as the Mean Absolute Error (MAE) and the Root Mean Square Error (RMSE), the ECNN approach shows the most significant improvement, enhancing performance by up to 50% compared to the baseline CNN. The other approaches achieve gains of 30%-40%. These results demonstrate that introducing approximate rotational equivariance, especially through ECNNs, is highly effective for improving the generalization of CNNs to data with varying orientations.Die zunehmende Häufigkeit von Wetteranomalien infolge des Klimawandels erfordert energieeffiziente Heizlösungen, um die menschengemachten Kohlenstoffemissionen zu reduzieren. Geothermische Wärmepumpen bieten eine ökologische Alternative, jedoch erfordert ihre Installation eine präzise Planung, um negative Auswirkungen auf das Grundwasser zu vermeiden. Pelzer and Schulte haben ein Convolutional Neural Network (CNN) vorgeschlagen, um stationäre Wärmefahnen dieser Wärmepumpen vorherzusagen, doch ihr Modell ist nicht dafür gemacht auf Eingabedaten mit unterschiedlichen Ausrichtungen zu generalisieren.
Um dieses Problem zu lösen, stellen wir drei Ansätze vor: (1) den Oriented Boxes-Ansatz, bei dem die Eingabedaten während der Inferenz so gedreht werden, dass sie mit einer festen Trainings-Ausrichtung übereinstimmen, (2) den Data Augmentation-Ansatz, bei dem der Trainingsdatensatz durch rotierte Datenpunkte erweitert wird und (3) den Equivariant Convolutional Neural Network (ECNN)-Ansatz, der Rotationsäquivarianz direkt in die Netzwerkarchitektur integriert.
Bewertet anhand von Metriken wie dem Mean Absolute Error (MAE) und dem Root Mean Square Error (RMSE) zeigt der ECNN-Ansatz die signifikanteste Verbesserung und steigert die Leistung um bis zu 50% im Vergleich zum ursprünglichen CNN. Die anderen Ansätze erzielen Leistungssteigerungen von 30% bis 40%. Diese Ergebnisse zeigen, dass die Einführung von ungefährer Rotationsäquivarianz, insbesondere durch ECNNs, äußerst effektiv ist, um die Generalisierungsfähigkeit von CNNs auf Daten mit unterschiedlichen Ausrichtungen zu verbessern
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
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