DOI: 10.31979/etd.cq2z-xts3
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Analysis and Application of Transmission Line Conductors

Abstract: Skin effect is usually a concern reserved for radio frequency design and for high current conductors used in utility power distribution. Proximity effect between adjacent conductors has traditionally been a concern for the design of magnetic windings and other applications involving wire bundles. The rise in the ubiquity of high speed bit streams and other signals of very wide bandwidth has broadened the range of applicable contexts and increased the need to account for such effects. This is especially true fo… Show more

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Cited by 5 publications
(5 citation statements)
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“…However, a well-established term that defines "big data" meaning has not yet emerged, which is why interpretations vary. Despite the lack of a single term, one of the first analysts to talk about big data, Laney (2001), identified three dimensions characteristic of big data: volume, speed and variety. Volume refers to the increase in indicators collected from sources.…”
Section: Literature Reviewmentioning
confidence: 99%
See 1 more Smart Citation
“…However, a well-established term that defines "big data" meaning has not yet emerged, which is why interpretations vary. Despite the lack of a single term, one of the first analysts to talk about big data, Laney (2001), identified three dimensions characteristic of big data: volume, speed and variety. Volume refers to the increase in indicators collected from sources.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Speed means minimizing the time interval between information collection and its entry into processing. Diversity implies differences in data formats, interpretations, and lack of structure (Laney, 2001). Thus, "big data" does not mean technology but a particular data characteristic.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Although the notion of a large volume of data is common to most definitions, the scholars have not reached a consensus about the ground characteristics of big data (Ward and Barker 2013). One of the first and most extended definitions focuses on three features: velocity, volume, and variety (Laney 2001). Velocity because big data production occurs at a high rate; volume refers to the necessary large size of the data that generally cannot be processed by a single machine; and variety is related to the unstructured format of the data that is raw and typically requires a substantial effort to clean and format.…”
Section: The Concept Of Big Datamentioning
confidence: 99%
“…What qualifies as Big Data depends on the nature, scope, and operationalization of the real-world phenomenon under investigation, the contemporary benchmarks of computational capabilities (e.g., processing, storage, bandwidth), and the appraisal of what a given community of practice (e.g., genomics vs. social science) considers conventional. Laney (2001) provides a useful perspective in this regard by suggesting three central characteristics (the 3 Vs): volume, variety, velocity (see Figure 1). Accordingly, Big Data can be defined as observational records that may be exceptionally numerous, highly heterogeneous, and/or generated at high rate and systematically captured, aggregated, and analyzed to useful ends.…”
Section: Characterizing Big Datamentioning
confidence: 99%