1,720,956 research outputs found
Design for test technique for increasing the resolution of supply current monitoring in analogue circuits
No full textA design-for-test (DFT) technique for analogue circuits is proposed which splits all high current transistors into two. This technique reduces the fault-masking effects of the fault-free parts of the circuit, giving a potential fault cover of over 99%. Other advantages are the small area overhead and a low performance penalty.</p
A DFT technique to increase the resolution of AC RMS power supply current monitoring of complex analogue circuits
No full textRMS AC supply current monitoring with the addition of the novel DFT technique presented in this paper shows an increase in fault coverage for an embedded opamp from only 2.5% to over 70%. During a test, the effective width- length ratio of the transistors that draw the most AC current is reduced, causing the supply current drawn by other parts of the circuit that might be faulty to contribute relatively more to the overall supply current, allowing detection of faults. The results of Monte Carlo fault simulations demonstrate the principle. The most significant advantages of this DFT technique are increased fault coverage; small (1%) area overhead; and low impact on the performance of the circuit.</p
Behavioural macromodelling for analogue fault simulation
No full textThis paper describes the modelling of bridging defects in analog circuits as changes to the external, observable characteristics of the circuits. In producing macromodels of circuit blocks, the accurate modeling of three situations is sought: the normal circuit operation, a fault inside a circuit block, and the propagation of faulty behavior from a faulty circuit block through fault-free blocks. Moreover, faulty behavior is characterized, as observed outside a circuit block, by changing parameters to that block. The macromodels have been implemented using SPICE and VHDL-A and the two approaches are compared
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
Applying a Robust Heteroscedastic Probabilistic Neural Network to Analog Fault Detection and Classification
No full textThe problem of distinguishing and classifying the responses of analog integrated circuits containing catastrophic faults has aroused recent interest. The problem is made more difficult when parametric variations are taken into account. Hence, statistical methods and techniques such as neural networks have been employed to automate classification. The major drawback to such techniques has been the implicit assumption that the variances of the responses of faulty circuits have been the same as each other and the same as that of the fault-free circuit. This assumption can be shown to be false. Neural networks, moreover, have proved to be slow. This paper describes a new neural network structure that clusters responses assuming different means and variances. Sophisticated statistical techniques are employed to handle situations where the variance tends to zero, such as happens with a fault that causes a response to be stuck at a supply rail. Two example circuits are used to show that this technique is significantly more accurate than other classification methods. A set of responses can be classified in the order of 1 s.</p
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
- …
