Artificial Chemical Sensing
Author: Joseph R. Stetter
Publisher: The Electrochemical Society
Published: 2001
Total Pages: 244
ISBN-13: 9781566773218
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Real-Time Probabilistic Neural Network Performance and Optimization for Fire Detection and Nuisance Alarm Rejection: Test Series 1 Results
Author:
Publisher:
Published: 2000
Total Pages: 0
ISBN-13:
DOWNLOAD EBOOKA series of tests were conducted to evaluate and improve the multivariate data analysis methods and candidate sensor suites used for the Early Warning Fire Detection (EWFD) system under development. The EWFD system is to provide reliable warning of actual fire conditions in less time with fewer nuisance alarms than commercially available smoke detection systems. Tests were conducted from 7-18 February 2000, onboard the ex-USS Sizadwell. This report documents the performance of the probabilistic neural network achieved in real-time during this test series. Further optimization of the algorithm yielded performance gains over the real-time results. Simulation studies have been done to examine the effects of sensor drop-out, excessive noise, and erroneous sensor values.
Meeting Abstracts
Author: Electrochemical Society. Meeting
Publisher:
Published: 1999
Total Pages: 1172
ISBN-13:
DOWNLOAD EBOOKReal-Time Probabilistic Neural Network Performance and Optimization for Fire Detection and Nuisance Alarm Rejection: Test Series 2 Results
Author:
Publisher:
Published: 2000
Total Pages: 0
ISBN-13:
DOWNLOAD EBOOKA second series of tests was conducted to evaluate and improve the multivariate data analysis notebooks and candidate sensor suites used for the Early Warning Fire Detection (EWFD) system under development. The EWFD system is to provide reliable warning of actual fire conditions in less time with fewer nuisance alarms than commercially available smoke detection systems. Tests were conducted from 25 April to 5 May 2000 onboard the ex-USS SHADWELL. This report documents the performance of the probabilistic neural network achieved in real-time during this test series. Further optimization of the algorithm has yielded performance gains over the real-time results. Modifications have been made that improve the real-time data acquisition and the ion sensor calibration. Background subtraction was investigated and will be used in future tests. The best performance was provided by a four sensor array consisting of ionization, photoelectric carbon monoxide and carbon dioxide sensors.
Adaptive Filtering and Change Detection
Author: Fredrik Gustafsson
Publisher: John Wiley & Sons
Published: 2000-10-03
Total Pages: 520
ISBN-13:
DOWNLOAD EBOOKAdaptive filtering is a branch of digital signal processing which enables the selective enhancement of desired elements of a signal and the reduction of undesired elements. Change detection is another kind of adaptive filtering for non-stationary signals, and is the basic tool in fault detection and diagnosis. This text takes the unique approach that change detection is a natural extension of adaptive filtering, and the broad coverage encompasses both the mathematical tools needed for adaptive filtering and change detection and the applications of the technology. Real engineering applications covered include aircraft, automotive, communication systems, signal processing and automatic control problems. The unique integration of both theory and practical applications makes this book a valuable resource combining information otherwise only available in separate sources Comprehensive coverage includes many examples and case studies to illustrate the ideas and show what can be achieved Uniquely integrates applications to airborne, automotive and communications systems with the essential mathematical tools Accompanying Matlab toolbox available on the web illustrating the main ideas and enabling the reader to do simulations using all the figures and numerical examples featured This text would prove to be an essential reference for postgraduates and researchers studying digital signal processing as well as practising digital signal processing engineers.
Introduction to Microwave Remote Sensing
Author: Iain H. Woodhouse
Publisher: CRC Press
Published: 2017-07-12
Total Pages: 321
ISBN-13: 1351988557
DOWNLOAD EBOOKIntroduction to Microwave Remote Sensing offers an extensive overview of this versatile and extremely precise technology for technically oriented undergraduates and graduate students. This textbook emphasizes an important shift in conceptualization and directs it toward students with prior knowledge of optical remote sensing: the author dispels any linkage between microwave and optical remote sensing. Instead, he constructs the concept of microwave remote sensing by comparing it to the process of audio perception, explaining the workings of the ear as a metaphor for microwave instrumentation. This volume takes an “application-driven” approach. Instead of describing the technology and then its uses, this textbook justifies the need for measurement then explains how microwave technology addresses this need. Following a brief summary of the field and a history of the use of microwaves, the book explores the physical properties of microwaves and the polarimetric properties of electromagnetic waves. It examines the interaction of microwaves with matter, analyzes passive atmospheric and passive surface measurements, and describes the operation of altimeters and scatterometers. The textbook concludes by explaining how high resolution images are created using radars, and how techniques of interferometry can be applied to both passive and active sensors.
Forest Fire Detection
Author: Eliot W. Zimmerman
Publisher:
Published: 1969
Total Pages: 36
ISBN-13:
DOWNLOAD EBOOKFire Toxicity
Author: A A Stec
Publisher: Elsevier
Published: 2010-03-12
Total Pages: 721
ISBN-13: 184569807X
DOWNLOAD EBOOKToxic fire effluents are responsible for the majority of fire deaths, and an increasing large majority of fire injuries, driven by the widespread and increasing use of synthetic polymers. Fire safety has focused on preventing ignition and reducing flame spread through reducing the rate of heat release, while neglecting the important issue of fire toxicity. This is the first reference work on fire toxicity and the only scientific publication on the subject in the last 15 years. Assessment of toxic effects of fires is increasingly being recognised as a key factor in the assessment of fire hazards. This book raises important issues including the types of toxic effluents that different fires produce, their physiological effects, methods for generation and assessment of fire toxicity, current and proposed regulations and approaches to modelling the toxic impact of fires. The contributors to Fire toxicity represent an international team of the leading experts in each aspect of this challenging and important field. This book provides an important reference work for professionals in the fire community, including fire fighters, fire investigators, regulators, fire safety engineers, and formulators of fire-safe materials. It will also prove invaluable to researchers in academia and industry. Investigates the controversial subject of toxic effluents as the cause of the majority of fire deaths and injuries Describes the different types of toxic effluents and the specific fires that they produce, their physiological effects and methods for generation Provides an overview of national and international fire safety regulations including current and proposed regulations such as a standardized framework for prediction of fire gas toxicity
Bayesian Networks
Author: Olivier Pourret
Publisher: John Wiley & Sons
Published: 2008-04-30
Total Pages: 446
ISBN-13: 9780470994542
DOWNLOAD EBOOKBayesian Networks, the result of the convergence of artificial intelligence with statistics, are growing in popularity. Their versatility and modelling power is now employed across a variety of fields for the purposes of analysis, simulation, prediction and diagnosis. This book provides a general introduction to Bayesian networks, defining and illustrating the basic concepts with pedagogical examples and twenty real-life case studies drawn from a range of fields including medicine, computing, natural sciences and engineering. Designed to help analysts, engineers, scientists and professionals taking part in complex decision processes to successfully implement Bayesian networks, this book equips readers with proven methods to generate, calibrate, evaluate and validate Bayesian networks. The book: Provides the tools to overcome common practical challenges such as the treatment of missing input data, interaction with experts and decision makers, determination of the optimal granularity and size of the model. Highlights the strengths of Bayesian networks whilst also presenting a discussion of their limitations. Compares Bayesian networks with other modelling techniques such as neural networks, fuzzy logic and fault trees. Describes, for ease of comparison, the main features of the major Bayesian network software packages: Netica, Hugin, Elvira and Discoverer, from the point of view of the user. Offers a historical perspective on the subject and analyses future directions for research. Written by leading experts with practical experience of applying Bayesian networks in finance, banking, medicine, robotics, civil engineering, geology, geography, genetics, forensic science, ecology, and industry, the book has much to offer both practitioners and researchers involved in statistical analysis or modelling in any of these fields.
Real-Time Analytics
Author: Byron Ellis
Publisher: John Wiley & Sons
Published: 2014-06-23
Total Pages: 432
ISBN-13: 1118838025
DOWNLOAD EBOOKConstruct a robust end-to-end solution for analyzing and visualizing streaming data Real-time analytics is the hottest topic in data analytics today. In Real-Time Analytics: Techniques to Analyze and Visualize Streaming Data, expert Byron Ellis teaches data analysts technologies to build an effective real-time analytics platform. This platform can then be used to make sense of the constantly changing data that is beginning to outpace traditional batch-based analysis platforms. The author is among a very few leading experts in the field. He has a prestigious background in research, development, analytics, real-time visualization, and Big Data streaming and is uniquely qualified to help you explore this revolutionary field. Moving from a description of the overall analytic architecture of real-time analytics to using specific tools to obtain targeted results, Real-Time Analytics leverages open source and modern commercial tools to construct robust, efficient systems that can provide real-time analysis in a cost-effective manner. The book includes: A deep discussion of streaming data systems and architectures Instructions for analyzing, storing, and delivering streaming data Tips on aggregating data and working with sets Information on data warehousing options and techniques Real-Time Analytics includes in-depth case studies for website analytics, Big Data, visualizing streaming and mobile data, and mining and visualizing operational data flows. The book's "recipe" layout lets readers quickly learn and implement different techniques. All of the code examples presented in the book, along with their related data sets, are available on the companion website.
