1,720,981 research outputs found
A novel Pattern Selection Algorithm to reduce the Test Cost of large Automotive Systems-on-Chip
No full textThe number and complexity of the Automotive Systems-on-Chip have grown dramatically and continuously in the last decades to satisfy the demand for new features in next-generation vehicles. On balance, very extensive test sets are needed to ensure products quality. All these tests are expensive in terms of equipment, and chip-makers are struggling to reduce devices that undergo the entire test process. The ability to isolate failing devices as soon as possible in the production line is crucial to saving money. Despite ATPG efforts being the first solution to reach high levels of coverage, they lead to a considerable amount of memory requirements and unacceptable test times. This paper focuses on test cost reduction based on the analysis of the circuit topology. The assumption done in this work is that the circuit nodes located in the densest areas are likely to be those that will show more defective behaviors. Therefore, we propose to focus the ATPG efforts on addressing first a subset of faults selected from the densest areas of the device. Such ATPG patterns will be less than the complete set but preserve the coverage of the parts that will show more faults. When applied at the wafer sort level, this technique reduces test time and tester memory demands while still screening out the vast majority of defective devices. Afterwards, the Test escapes at the package tests are minimized, and the defective behaviors are limited to the less critical portions of the circuit, which are less likely to fail. The experimental results are reported for a complex Automotive System-on-Chip belonging to the SPC58 family of STMicroelectronics with around 700K Flip Flops and 20 million gates, and they demonstrate the approach feasibility
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
Exploiting advanced fault localization methods for yield & reliability learning on SoCs
No full textVariations 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
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