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Principles of Chemical and Biological Sensors by Dermot Diamond,

Principles of Chemical and Biological Sensors by Dermot Diamond,
An authoritative review of modern sensor technology essential information for analytical chemists, biochemists, biotechnologists, spectroscopists, and chemical engineers As sensors begin to realize their commercial and practical potential in fields ranging from the automobile and semiconductor industries to environmental monitoring and clinical diagnostics, this timely work offers an important survey of the principles, construction, and applications of the most popular types of chemical and biological sensors in use today. Principles of Chemical and Biological Sensors brings together a wealth of valuable material in a single source, providing scientists and researchers with a basic grasp of the latest developments in this area, as well as information on trends and future directions. Coverage includes: Amperometric, modified, potentiometric, and voltammetric electrodes Optrodes and direct spectroscopic methods Enzyme and antibody based biosensors Processing signals from sensors Miniaturization of sensors Sensor arrays and intelligent sensing systems Principles of Chemical and Biological Sensors is an essential reference for scientists in research and industry aiming to make optimum use of these cutting-edge devices in their work. Spurred by a dramatic increase in R&D support over the last twenty years, sensors are poised for a revolution similar to the one seen in microcomputers in the late 1980s. Matching enhanced performance with lower cost, new generations of sensing devices promise to gain a firm footing in many different areas, from environmental regulation to manufacturing and other industries. Principles of Chemical and Biological Sensors offers astate-of-the-art look at the principles and applications of the most popular sensors available today, coupled with an exploration of potential directions and developments for the future of this dynamic field.



Data Acquisition and Signal Processing for Smart Sensors by Nikolai Vladimirovich Kirianaki,
Data Acquisition and Signal Processing for Smart Sensors by Nikolai Vladimirovich Kirianaki,
Advanced microsensor technology is making a significant impact in fields as diverse as wireless communications and automotive, biomedical and chemical engineering. "Data Acquisition and Signal Processing for Smart Sensors" draws on the authors' collective practical experience in the design of sensor instrumentation to provide a systematic treatment of smart sensors and sensor systems. This unique reference presents an alternative to the classical approach to data acquisition and covers signal processing methods for digital and quasi-digital sensors. Features Include: Introduction to the authors' novel Method of the Dependent CountT for frequency (period) conversion and measurement and its applications. Consideration of modern sensor interface circuits and buses, along with an introduction to the Universal Transducer Interface (UTI) and Time to Digital Converter (TDC). Methods of frequency-to-code conversion for smart sensors, including direct, indirect, combined, interpolation and Fourier transform based techniques as well as advanced and self-adapting conversion methods. Comparative analysis of smart sensor systems with time- and space-division channelling functions. Detailed glossary of related terms accompanied by a guide to related web resources.With coverage ranging from the detailed analysis of available conversion methods to software level smart sensor design, "Data Acquisition and Signal Processing for Smart Sensors" will have broad appeal amongst instrumentation and measurement professionals. Advanced students and researchers in microelectronics, engineers and developers of microsensor systems will appreciate the comprehensive treatment of this emerging area.



Sensor Web - The Sensor Web is a new class of geographic information system (GIS) developed at NASA's Jet Propulsion Laboratory consisting of a sensor network for environmental monitoring and control. Each sensor platform in the Sensor Web is called a pod in addition to the more familiar phrase node which can be orbital or terrestrial, fixed or mobile with real time accessibility via the internet.

Foveon X3 sensor - The Foveon X3 sensor is an image sensor for digital cameras produced by Foveon,Inc. It is a layered sensor design, in which each location in a grid has layered photosensors sensitive to all three primary colors, in contrast to the mosaic Bayer filter sensor design commonly used in digital camera sensors where each location is a single photosensor (pixel) sensitive to only one primary color.

Bayer sensor - A Bayer sensor is a digital image sensor (used in digital cameras, camcorders, and scanners) which uses a Bayer filter to create a color image. The Bayer filter is placed over light sensitive elements in a image sensor so that each element receives light of only one color (red, green, or blue).

Wireless sensor network - A wireless sensor network (WSN) is a network made of many small computers with onboard sensor boards. The sensor nodes, currently 1-8 cubic centimetres in size, are self-contained units typically consisting of a battery, radio communications, microcontroller, and sensors.



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