Search results for "Arity"
showing 10 items of 2893 documents
An Innovative Similarity Measure for Sentence Plagiarism Detection
2016
We propose and experimentally assess Semantic Word Error Rate (SWER), an innovative similarity measure for sentence plagiarism detection. SWER introduces a complex approach based on latent semantic analysis, which is capable of outperforming the accuracy of competitor methods in plagiarism detection. We provide principles and functionalities of SWER, and we complement our analytical contribution by means of a significant preliminary experimental analysis. Derived results are promising, and confirm to use the goodness of our proposal.
Development of a High Granularity Photovoltaic Model That Considers Complex Nonuniform Shadow Conditions and Different Cell Temperatures
2012
In this paper is the development of a high granularity photovoltaic model that considers complex nonuniform shadow conditions and different cell temperatures. The model integrates the nonuniform shading characteristics such as different areas for each cell, different direct and indirect solar irradiations for each cell, and different temperatures. The area of the shadow on the PV module is found using image processing. The bond graph formalism facilitates the representation of the energy exchange between the different parts of the PV module. This complexity justifies the effort to develop a high-granularity tool. The proposed model is validated through experimental tests under shading condi…
Sub-symbolic Mapping of Cyc Microtheories in Data-Driven “Conceptual” Spaces
2007
The presented work aims to combine statistical and cognitive-oriented approaches with symbolic ones so that a conceptual similarity relationship layer can be added to a Cyc KB microtheory. Given a specific microtheory, a LSA-inspired conceptual space is inferred from a corpus of texts created using both ad hoc extracted pages from the Wikipedia repository and the built-in comments about the concepts of the specific Cyc microtheory. Each concept is projected in the conceptual space and the desired layer of subsymbolic relationships between concepts is created. This procedure can help a user in finding the concepts that are "sub-symbolically conceptually related" to a new concept that he want…
Vertical Integration due to Software Systems' Modularity
2009
In their product portfolio, OSS/BSS software vendors make products pre-integrated with each other as well as with other related OSS/BSS products. Prior to the full-scale development and integration, it is vital for these vendors to assess which products are reasonable to integrate. Such integration of software may be aimed at achieving different goals, such as: Reducing software integration efforts. Software vendors aim at maximizing their profits, whereas their customers (i.e., CSPs) aim at minimizing their costs by avoiding the integration job. As a result, to approach a win–win scenario, vendors provide already integrated products or subsystems (pre-integrated modules). Sharing similar k…
Research production in high-impact journals of contemporary neuroscience: A gender analysis
2017
Neuroscience or Neural Science is a very active and interdisciplinary field that seeks to understand the brain and the nervous system. In spite of important advances made in recent decades, women are still underrepresented in neuroscience research output as a consequence of gender inequality in science overall. This study carries out a scientometric analysis of the 30 neuroscience journals (2009–2010) with the highest impact in the Web of Science database (Thomson Reuters) in order to quantitatively examine the current contribution of women in neuroscientific production, their pattern of research collaboration, scientific content, and the analysis of scientific impact from a gender perspect…
La investigación en Ciencias Laborales como una nueva dimensión del alumnado universitario. Una experiencia innovadora
2016
Profesorado del Grado de Relaciones Laborales y Recursos Humanos de la Universitat de València, se planteó en el curso 2013-2014, y dado que la titulación había pasado de Diplomatura a Grado, la necesidad de fomentar entre el alumnado la orientación investigadora, opción hasta dicho momento difícil de desarrollar. Por eso, a través del desarrollo del proyecto de innovación en dicho curso «Medios para la difusión de resultados de investigaciones en Ciencias Laborales», se creó una web (http://inveslab.blogs.uv.es/) en la que se recogieron los resultados obtenidos del mismo, un repositorio con los medios existentes para la difusión de los resultados de investigaciones en Ciencias Laborales. T…
The Importance of Multilingual Information and Plain English in Response to the COVID-19 Pandemic
2021
Health is a common issue for all human beings. As a consequence, everyone in the world has in some way to cope with the language of medicine. This is true now more than ever due to the global health crisis caused by the current COVID-19 pandemic, which has introduced a great amount of terms, previously mostly used by epidemiologists and statisticians, but which now have entered the daily lexicon of many languages. As the medium of international scientific communication, English is the language of worldwide information about the pandemic, and the main source of terms and expressions for other languages. The impact of the COVID-19 pandemic on English lexicon has been so deep that the Oxford E…
PD recognition by means of statistical and fractal parameters and a neural network
2000
A novel partial discharge (PD) defect identification method is described. Starting with PD data on different families of specimens, a suitable set of parameters are determined and then used as input variables to a neural network for the purpose of identifying the defects within the insulation. In this procedure the statistical Weibull analysis is performed on PD pulse amplitude histograms to obtain the scale parameter /spl alpha/ and the shape parameter /spl beta/. Thereafter, the two statistical operators (skewness and kurtosis) and two fractal parameters (fractal dimension and lacunarity) are evaluated from the PD phase on the discharge epoch histogram and from the 3 dimensional (pulse am…
Combining similarity measures in content-based image retrieval
2008
The purpose of content based image retrieval (CBIR) systems is to allow users to retrieve pictures from large image repositories. In a CBIR system, an image is usually represented as a set of low level descriptors from which a series of underlying similarity or distance functions are used to conveniently drive the different types of queries. Recent work deals with combination of distances or scores from different and usually independent representations in an attempt to induce high level semantics from the low level descriptors of the images. Choosing the best method to combine these results requires a careful analysis and, in most cases, the use of ad-hoc strategies. Combination based on or…
The Impact of Solar Penetration on Solar and Gas Market Value: An Application to the Italian Power Market
2014
We assess the impact of solar penetration in the Italian wholesale electricity market on the market value of solar with respect to gas sources, measured as the ratio between the relative price they respectively earn and the average daily electricity price (value factor). We find that, on average, an increase of solar generation has a negative impact on the price earned by solar producers, thus causing a marginal departure from the grid parity condition. The relation between solar production and its market value is not constant over the years, while it depends on the degree of solar penetration. It is positive for very low levels of solar production while, as production increases, its margin…