Data Acquisition Applications

Data acquisition systems have numerous applications. This book has a total of 13 chapters and is divided into three sections: Industrial applications, Medical applications and Scientific experiments. The chapters are written by experts from around the world, while the targeted audience for this book includes professionals who are designers or researchers in the field of data acquisition systems. Faculty members and graduate students could also benefit from the book

EUROSENSORS XVII : book of abstracts

Fundação Calouste Gulbenkien (FCG).Fundação para a Ciência e a Tecnologia (FCT)

Roadmap on optical sensors

Optical sensors and sensing technologies are playing a more and more important role in our modern world. From micro-probes to large devices used in such diverse areas like medical diagnosis, defence, monitoring of industrial and environmental conditions, optics can be used in a variety of ways to achieve compact, low cost, stand-off sensing with extreme sensitivity and selectivity. Actually, the challenges to the design and functioning of an optical sensor for a particular application requires intimate knowledge of the optical, material, and environmental properties that can affect its performance. This roadmap on optical sensors addresses different technologies and application areas. It is constituted by twelve contributions authored by world-leading experts, providing insight into the current state-of-the-art and the challenges their respective fields face. Two articles address the area of optical fibre sensors, encompassing both conventional and specialty optical fibres. Several other articles are dedicated to laser-based sensors, micro- and nano-engineered sensors, whispering-gallery mode and plasmonic sensors. The use of optical sensors in chemical, biological and biomedical areas is discussed in some other papers. Different approaches required to satisfy applications at visible, infrared and THz spectral regions are also discussed

Low-power Wearable Healthcare Sensors

Advances in technology have produced a range of on-body sensors and smartwatches that can be used to monitor a wearer’s health with the objective to keep the user healthy. However, the real potential of such devices not only lies in monitoring but also in interactive communication with expert-system-based cloud services to offer personalized and real-time healthcare advice that will enable the user to manage their health and, over time, to reduce expensive hospital admissions. To meet this goal, the research challenges for the next generation of wearable healthcare devices include the need to offer a wide range of sensing, computing, communication, and human–computer interaction methods, all within a tiny device with limited resources and electrical power. This Special Issue presents a collection of six papers on a wide range of research developments that highlight the specific challenges in creating the next generation of low-power wearable healthcare sensors

NASA Tech Briefs, July 2002

Topics include: a technology focus sensors, software, electronic components and systems, materials, mechanics, machinery/automation, manufacturing, bio-medical, physical sciences, information sciences, book and reports, and a special section of Photonics Tech Briefs

Cumulative index to NASA Tech Briefs, 1986-1990, volumes 10-14

Tech Briefs are short announcements of new technology derived from the R&D activities of the National Aeronautics and Space Administration. These briefs emphasize information considered likely to be transferrable across industrial, regional, or disciplinary lines and are issued to encourage commercial application. This cumulative index of Tech Briefs contains abstracts and four indexes (subject, personal author, originating center, and Tech Brief number) and covers the period 1986 to 1990. The abstract section is organized by the following subject categories: electronic components and circuits, electronic systems, physical sciences, materials, computer programs, life sciences, mechanics, machinery, fabrication technology, and mathematics and information sciences

Chemometric Methods for the Determination of Volatile Organic Compounds with Microsensor Arrays.

This research addresses critical chemometric modeling and data analysis functions needed to guide the design and implementation of novel meso-scale and micro-scale instrumentation that incorporates chromatographic separation with microsensor array detection. The first issue addressed relates to the fidelity of the response pattern generated by an array for a chromatographically resolved analyte to its calibrated reference pattern. A statistically rigorous decision rule was developed that accounts for the inherent variability in the array signals and permits assessments of pattern fidelity at a known rate of error. Building on this first study, a more sophisticated and robust approach to peak purity assessment based on fixed-size moving window factor analysis was adapted and evaluated by simulation. With this approach, a minority component with a peak area 0.5% of the primary component could be detected at a primary-peak signal-to-noise ratio as low as 20:1. To address problems involving partial overlap of chromatographic peaks, a self-modeling curve resolution method was applied, which entails an alternating least square algorithm coupled with evolving factor analysis. Response patterns from an array of four sensors were tested with binary co-elutions to evaluate the resolution of mixture components as a function of random noise, chromatographic separation, pattern similarity, and relative composition. In a separate series of studies, the advantages of multi-transducer sensor arrays over single-transducer arrays for vapor recognition were examined. Starting with a database of sensitivities to 11 vapors from 15 microsensors, it was shown by Monte Carlo simulation and principal component regression modeling that optimal MT arrays consistently outperform ST arrays of similar size, and that with judiciously selected 5-sensor MT arrays one-third of all possible ternary vapor mixtures are reliably discriminated from their individual components and binary component mixtures, whereas none are reliably determined with any of the ST arrays. Using the same database, the limits of recognition were determined for various mixtures, revealing that, in general, mixtures cannot be recognized at relative concentration ratios exceeding 20:1 between two components. Collectively, the research reported here has served to help define the limits of performance and interpret the output of microsensor arrays as components of microanalytical systems.Ph.D.Industrial HealthUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/61627/1/jincg_1.pd

NASA Tech Briefs, February 1988

Topics covered include: New Product Ideas; NASA TU Services; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Systems; and Life Sciences

NASA Tech Briefs, Fall 1978

Topics covered: NASA TU Services: Technology Utilization services that can assist you in learning about and applying NASA technology; New Product Ideas: A summary of selected innovations of value to manufacturers for the development of new products; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Life Sciences; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences