1,720,965 research outputs found
Support vector machines for surrogate modeling of electronic circuits
No full textIn electronic circuit design, preliminary analyses of the circuit performances are generally carried out using time-consuming simulations. These analyses should be performed as fast as possible because of the strict temporal constraints on the industrial sector time to market. On the other hand, there is the need of precision and reliability of the analyses. For these reasons, there is more and more interest toward surrogate models able to approximate the behavior of a device with a high precision making use of a limited set of samples. Using suitable surrogate models instead of simulations, it is possible to perform a reliable analysis in less time. In this work, we are going to analyze how the surrogate models given by the support vector machine (SVM) perform when they are used to approximate the behavior of industrial circuits that will be employed in consumer electronics. The SVM is also compared to the surrogate models given by the response surface methodology using a commercial software currently adopted for this kind of applications
Support Vector Machines for Real Consumer Circuits
No full textCircuit analysis is an important phase of the circuit production process. This phase should be performed as fast as possible because of the strict temporal constraints in the industrial sector. On the other hand, there is the need of a certain precision and reliability of the analysis. For this reasons there is more and more interest toward surrogate models that are able to perform a reliable analysis in less time. In this work we analyze how a popular surrogate model, the Support Vector Machines (SVM), performs when it is used to approximate the behavior of industrial circuits, provided by ST-Microelectronics, that will be employed in consumer electronics. The SVM are also compared with the surrogate models created with the commercial software currently used by ST-Microelectronics for this kind of applications. © Springer-Verlag Berlin Heidelberg 2013.Circuit analysis is an important phase of the circuit produc- tion process. This phase should be performed as fast as possible because of the strict temporal constraints in the industrial sector. On the other hand, there is the need of a certain precision and reliability of the anal- ysis. For this reasons there is more and more interest toward surrogate models that are able to perform a reliable analysis in less time. In this work we analyze how a popular surrogate model, the Support Vector Machines(SVM), performs when it is used to approximate the behavior of industrial circuits, provided by ST-Microelectronics, that will be em- ployed in consumer electronics. The SVM are also compared with the surrogate models created with the commercial software currently used by ST-Microelectronics for this kind of applications
Derivative-Free Robust Optimization for Circuit Design
No full textIn this paper, we introduce a framework for derivative-free robust opti-
mization based on the use of an efficient derivative-free optimization routine for
mixed-integer nonlinear problems. The proposed framework is employed to find a
robust optimal design of a particular integrated circuit (namely a DC–DC converter
commonly used in portable electronic devices). The proposed robust optimization ap-
proach outperforms the traditional statistical approach as it is shown in the numerical
result
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Full text linkWe 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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