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accuracy and quality of the measurements and to add diagnostics and other intelligence to any type of sensor. Proportional integral derivative control is the basis of many control systems but the newer artificial intelligence approaches of fuzzy logic and neural networks are succinctly covered. Their combination, the text points out, may allow the use of sensors with lower accuracy and therefore lower cost. Interesting chapters also cover remote sensing and micromechanical systems which include microvalves, micromotors, micropumps, microdynamometers, and micro-optics. Other stimulating topics discuss the future capabilities of semiconduc-
tor systems and how much technology will be needed and who is going to supply this technology to the field of smart sensors as well as the latest sensor concepts. Understandably, given the author's background at Motorola, this book is intended for professional electronic engineers who wish to use the latest technology to integrate sensors into circuits to give an overall control device. However, it is also very useful to materials scientists developing sensors to gain an insight into how their device can be packaged to make a useful contribution to control technology. Without the important chapter on acronyms, the nonengineer would
find the text difficult to comprehend. The book is well-written with plenty of high quality diagrams and photographs of industrial products. The references and index are comprehensive and the book can be strongly recommended to those interested in developing sensor systems or those scientists, who are researching materials for novel sensors, to ascertain the exciting electronic capabilities which exist to enhance their performance. Reviewer: Derek Fray is a professor of materials chemistry at the University of Cambridge with research interests in sensors for the control of materials processing.
CLASSIFIED Positions Available TENURE-TRACK POSITION Department of Materials Science and Mineral Engineering University of California, Berkeley The College of Engineering at the University of California, Berkeley invites applicants for a tenure-track position in biomaterials with expertise in the response of tissues to engineering materials. The preferred candidate will utilize the Advanced Light Source at the Lawrence Berkeley National Laboratory as part of his/her experimental investigations of the biological and chemical processes occurring at the interfaces between tissues and bioengineering devices. Preference will be given to an appointment at the tenured level, although appointment at the assistant professor level will be considered for a recent PhD degree recipient with exceptionally strong promise. Appointment in any department with the College of Engineering is possible. An appointment partially within the Department of Materials Science and Mineral Engineering is likely. The successful candidate will be responsible for teaching undergraduate and graduate courses in the College and must engage in high quality research. A doctoral degree in an appropr
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