Sensors for Intelligent Processing of Common Materials
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Begun in 1973, the Review of Progress in Quantitative Nondestructive Evaluation (QNDE) is the premier international NDE meeting designed to provide an interface between research and early engineering through the presentation of current ideas and results focused on facilitating a rapid transfer to engineering development.
This site provides free, public access to papers presented at the annual QNDE conference between 1983 and 1999, and abstracts for papers presented at the conference since 2001.
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Abstract
Intelligence, according to a commonly used dictionary, is “the ability to learn or understand or to deal with new or trying situations”[1]. It is easy to argue that sensors are essential for any system to react intelligently to such situations. In fact, the absence of sensors would in most cases cause the failure to recognize the occurrence of such situations. This also applies to materials processing systems where sensors provide information, which is interpreted in terms of imbedded models and algorithms, which provide the rationale for dealing with the encountered situations.