1,720,978 research outputs found
j-a-charles/StiffnessCurveNNApp: Shear Stiffness Cure Generator
This app uses a neural network to generate a shear stiffness degradation curve (representing how soil reduces in stiffness as a function of strain) with an arbitrary number and combination of input parameters. Traditional empirical methods required set inputs with the engineer being unable to utilise these methods if the required parameters are not available. This app allows the user to select and input between zero and eight of the following parameters: Mean Effective Stress (p) Mean Effective Stress/Reference Atmospheric Stress (p/pa) Overconsolidation Ratio (OCR) Void Ratio (e) Relative Density (Dr) Average Grain Size (D50) Uniformity Coefficient (Cu) Initial Elastic Shear Modulus (G0) After inputting the available data, a neural network will be trained based on the dataset assembled in Oztoprak and Bolton (2013) and an output curve of a specified resolution will be generated. The output curve can be copied to the clipboard for pasting into e.g., Excel.Version 2.0.1 adds the ability for users to load their own neural network training dataset. The bundled dataset from v1.0 is still included. A new preprocessing module allows for automatic filtering of the dataset to include every datapoint that has the required user specified input parameters and discarding of those datpoints that don't. Further filtering allows for user specified upper and lower bounds for input parameters, filtering datapoints outside these bounds
Inchiquin, the Jesuit's letters, during a late residence in the United States of America [electronic resource] : being a fragment of a rpivate correspondence, accidentally discovered in Europe : containing a favourable view of the manners, literature, and state of society, of the United States, and a refutation of many of the aspersions cast upon this country, by former residents and tourists /
Attributed to Charles Jared Ingersoll--Sabin."Veduti Ubaldo, in giovinezza e cerchi...--Tasso La Gierusalemme Liberata, Canto decimoquarto."Sabin,Electronic reproduction.Mode of access: Internet.4
Application of deep neural network combined with dynamic poroelasticity to define seismic velocities and porosity from cone penetrometer data
Offshore wind plays a pivotal role in enhancing Europe's energy security and achieving energy decarbonization goals. However, expediting offshore wind deployment necessitates efficient and economical site investigation surveys. To address this challenge, we introduce a novel approach utilising a deep neural network (DNN) to establish correlations between geotechnical cone penetrometer test (CPT) data and shear wave velocity
Dataset in support of the paper 'Recovering shear stiffness degradation curves from classification data with a neural network approach'
This dataset consists of digitised shear stiffness degradation data taken from 23 publications along with eight associated soil classification parameters.
The data was originally produced by a range of laboratory and in-situ testing.
A total of 240 stiffness degradation curves and sets of soil classification parameters are included.
This dataset was extracted from, edited, and reformatted from an earlier dataset collated by Sadik Oztoprak which was analysed in Oztoprak and Bolton (2013) and has been shared with all necessary permissions.
This new dataset has been used for work on recovering shear stiffness degradation curves using Artificial Neural Networks.
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Microscale FEA of P-wave propagation through a saturated granular medium-Data set
Code and results for a study into the propagation of P-waves through a saturated granular medium. Code will generated ABAQUS .inp files, which after completion can be post processed to extract P-wave velocity. Results are provided, and code used to produce plots.</span
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
“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
We 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
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