Random Precision

The nature of technology has changed since Artificial Intelligence in Education (AIED) was conceptualized as a research community and Interactive Learning Environments were initially developed.

Fulfilling the need for a classical approach, Experimental Combustion: An Introduction begins with an overview of the key aspects of combustion—including chemical kinetics, premixed flame, diffusion flame, and liquid droplet combustion—followed by a discussion of the general elements of measurement systems and data acquisition and analysis. In addition to these aspects, thermal flow measurements, gas composition measurements, and optical combustion diagnostics are covered extensively. Building upon this foundation in the fundamentals, the text addresses measurements, instruments, analyses, and diagnostics specific to combustion experiments, as well as: Describes the construction, working principles, application areas, and limitations of the necessary instruments for combustion systems Familiarizes the reader with the procedure for uncertainty analysis in combustion experiments Discusses advanced optical techniques, namely particle image velocimetry (PIV), laser Doppler anemometry (LDA), and planar laser-induced fluorescence (PLIF) methods From stoichiometry to smoke meters and statistical analysis, Experimental Combustion: An Introduction provides a solid understanding of the underlying concepts and measurement tools required for the execution and interpretation of practical combustion experiments.

Literally an entire course between two covers, Measurement Uncertainty: Methods and Applications, Fourth Edition, presents engineering students with a comprehensive tutorial of measurement uncertainty methods in a logically categorized and readily utilized format. The new uncertainty technologies embodied in both U.S. and international standards have been incorporated into this text with a view toward understanding the strengths and weaknesses of both. The book is designed to also serve as a practical desk reference in situations that commonly confront an experimenter. The text presents the basics of the measurement uncertainty model, non-symmetrical systematic standard uncertainties, random standard uncertainties, the use of correlation, curve-fitting problems, and probability plotting, combining results from different test methods, calibration errors, and uncertainty propagation for both independent and dependent error sources. The author draws on years of experience in industry to direct special attention to the problem of developing confidence in uncertainty analysis results and using measurement uncertainty to select instrumentation systems.

Presenting the fundamental tools of experimentation that are currently used by engineers and scientists, Measurement and Data Analysis for Engineering and Science, Second Edition covers the basics of experimentation, hardware of experiments, and methods of data analysis. It also offers historical perspectives throughout. Updating and reorganizing its popular predecessor, this second edition makes the text much easier to follow and enhances the presentation with electronic material. New to the Second Edition Order of chapters now reflects the sequence of topics usually included in an undergraduate course Asterisked sections denote material not typically covered formally during lecture in an introductory undergraduate course More than 150 new problems, bringing the total to over 420 problems Supplementary website that provides unit conversions, learning objectives, review crossword puzzles and solutions, differential equation derivations, laboratory exercise descriptions, MATLAB® sidebars with M-files, and homework data files Thorough and up to date, this edition continues to help students gain a fundamental understanding of the tools of experimentation. It discusses basic concepts related to experiments, measurement system components and responses, data analysis, and effective communication of experimental findings. Ancillary materials for instructors are available on a CD-ROM and a solutions manual is available for qualifying instructors. More data available on www.nd.edu/~pdunn/www.text/measurements.html

This book constitutes the thoroughly refereed post-proceedings of the 7th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2010, held in Palermo, Italy, in September 2010. The 19 papers, presented together with 2 keynote speeches and 1 tutorial, were carefully reviewed and selected from 24 submissions. The papers are organized in topical sections on sequence analysis, promoter analysis and identification of transcription factor binding sites; methods for the unsupervised analysis, validation and visualization of structures discovered in bio-molecular data -- prediction of secondary and tertiary protein structures; gene expression data analysis; bio-medical text mining and imaging -- methods for diagnosis and prognosis; mathematical modelling and simulation of biological systems; and intelligent clinical decision support systems (i-CDSS).

Ozone-destroying chemicals, greenhouse gases, and dangerous airborne substances that were once thought to be benign are the most urgent issues facing air pollution control experts. Students need a thorough, updated reference that explores these current trends while also covering the fundamental concepts of this emerging discipline. A new revision of a bestseller, Air Quality, Fourth Edition provides a comprehensive overview air quality issues, including a better understanding of atmospheric chemistry, the effects of pollution on public health and the environment, and the technology and regulatory practices used to achieve air quality goals. New sections cover toxicological principles and risk assessment. The book also contains revised discussions on public policy concerns, with a focus on air quality standards for ozone depletion and global warming, and the health effects of particulate air pollutants. This edition continues to serve as a very readable text for advanced level undergraduate and early graduate study in environmental science, environmental management, and in programs related to the study of public health, industrial hygiene, and pollution control.