1,720,956 research outputs found
Robust Requirements Analysis in Complex Systems through Machine Learning
Requirement Analysis (RA) is a relevant application for Semantic Technologies focused on the extraction and exploitation of knowledge derived from technical documents. Language processing technologies are useful for the automatic extraction of concepts as well as norms (e.g. constraints on the use of devices) that play a key role in knowledge acquisition and design processes. A distributional method to train a kernel-based learning algorithm is here proposed, as a cost-effective approach for the validation stage in RA of Complex Systems, i.e. Naval Combat Systems. The targeted application of Requirement Identification and Information Extraction techniques is here discussed in the realm of robust search processes that allows to suitably locate software functionalities within large collections of requirements written in natural language. © Springer-Verlag Berlin Heidelberg 2013
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
A spectral-domain solution for the scattering problem of a circular cylinder buried in a dielectric half-space
A spectral-domain solution is employed to completely
characterize the two-dimensional electromagnetic plane-wave scattering
problem by a perfectly conducting circular cylinder buried in a
dielectric half-space. Use is made of the plane-wave spectrum to consider
the diffraction, reflection and transmission of cylindrical waves.
Suitable adaptive integration techniques are employed to numerically
solve the spectral integrals. The method is valid for any value of the
cylinder radius, and of the distance between the cylinder and the interface.
Numerical results are presented for both near- and far-field
cases and for both TM and TE polarizations, and a comparison with
other results in the literature is discussed
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
Machine learning technologies for the requirements analysis in complex systems
Requirement Analysis is a relevant application area for a variety of Semantic Technologies related to the extraction, disambiguation and exploitation of the knowledge derived from technical requirement documents. Most methods rely on shallow language processing technologies for the automatic extraction of core concepts (e.g. components/devices, their parts and functionalities) and norms (e.g. constraints on the use of components). Few works have been devoted to study paraphrasing (i.e. textual equivalence between requirement definitions) for consistency checking and redundancy elimination. We propose here a distributional method to train a kernel-based learning algorithm (i.e. SVM), as a cost-effective approach to validate requirements from text in support of Requirement Analysis in the design of a Complex Systems, i.e. Naval Combat Systems. These latter are complex systems based on software components able to manage all the Combat System Equipment in different mission scenarios. We will describe the application of Recognition of Textual Entailment (RTE) techniques based on data-driven learning methods to this scenario. While modeling the asymmetric logical relation of entailment between two textual descriptions (i.e. an hypothesis and its thesis), RTE can be here applied to the validation step of compositions between system functionalities described in the requirement specification texts. Early evidences are here discussed, as a proof of the strong applicability of the method to the general case and to other realistic scenarios in System Engineering. ©2012. Published and used by INCOSE with permission
Dispelling the Myths Behind First-author Citation Counts
We 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
We 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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