Download or read book Multivariate Methods for Fire Detection written by J. A. Milke and published by . This book was released on 1997 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Multivariate analysis techniques with application in mining written by Paul C. McWilliams and published by . This book was released on 1978 with total page 854 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Using Multivariate Statistical Methods to Detect Fires written by T. J. McAvoy and published by . This book was released on 1996 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Results of Multi Criteria Fire Detection System Tests written by and published by . This book was released on 2000 with total page 77 pages. Available in PDF, EPUB and Kindle. Book excerpt: A series of tests was 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 August 30 - September 3, 1999 onboard the ex-USS Shadwell. This report documents the test setup and results from the fire detector used during this test series.
Download or read book NIST Building Fire Research Laboratory Publications written by and published by . This book was released on 1997 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Operation of Fire Protection Systems written by Arthur E. Cote and published by Jones & Bartlett Learning. This book was released on 2003 with total page 696 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fire Science (FESHE)
Download or read book Building and Fire Research Laboratory Publications written by Building and Fire Research Laboratory (U.S.) and published by . This book was released on 1996 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Continuous Multivariate Distributions Volume 1 written by Samuel Kotz and published by John Wiley & Sons. This book was released on 2004-04-05 with total page 752 pages. Available in PDF, EPUB and Kindle. Book excerpt: Continuous Multivariate Distributions, Volume 1, Second Edition provides a remarkably comprehensive, self-contained resource for this critical statistical area. It covers all significant advances that have occurred in the field over the past quarter century in the theory, methodology, inferential procedures, computational and simulational aspects, and applications of continuous multivariate distributions. In-depth coverage includes MV systems of distributions, MV normal, MV exponential, MV extreme value, MV beta, MV gamma, MV logistic, MV Liouville, and MV Pareto distributions, as well as MV natural exponential families, which have grown immensely since the 1970s. Each distribution is presented in its own chapter along with descriptions of real-world applications gleaned from the current literature on continuous multivariate distributions and their applications.
Download or read book Methods of Multivariate Statistics written by Muni S. Srivastava and published by John Wiley & Sons. This book was released on 2002-07-08 with total page 741 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get up-to-speed on the latest methods of multivariate statistics Multivariate statistical methods provide a powerful tool for analyzing data when observations are taken over a period of time on the same subject. With the advent of fast and efficient computers and the availability of computer packages such as S-plus and SAS, multivariate methods once too complex to tackle are now within reach of most researchers and data analysts. With an emphasis on computing techniques in combination with a full understanding of the mathematics behind the methods, Methods of Multivariate Statistics offers an up-to-date account of multivariate methods. Focusing on the maximum likelihood method for estimation, testing of hypotheses, and "profile analysis," this book offers comprehensive discussions of commonly encountered multivariate data and also covers some practical and important problems lacking in other texts. These include: * Missing at-random observations * "Growth Curve Models" and multivariate one-sided tests applicable in pharmaceutical and medical trials * Bootstrap methods * Principal component method for predicting a multivariate response vector * Outlier detection and handling inference when covariance is singular With clear chapter introductions and numerous problem sets, Methods of Multivariate Statistics meets every statistician's need for a comprehensive investigation of the latest methods in multivariate statistics.
Download or read book Computational Methods for Sensor Material Selection written by Margaret A. Ryan and published by Springer Science & Business Media. This book was released on 2009-10-06 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chemical vapor sensing arrays have grown in popularity over the past two decades, finding applications for tasks such as process control, environmental monitoring, and medical diagnosis. This is the first in-depth analysis of the process of choosing materials and components for these "electronic noses", with special emphasis on computational methods. For a view of component selection with an experimental perspective, readers may refer to the complementary volume of Integrated Microanalytical Systems entitled "Combinatorial Methodologies for Sensor Materials."
Download or read book Software System Design Methods written by Josef K. Skwirzynski and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this volume we present the full proceedings of a NATO Advanced Study Institute (ASI) on the theme of the challenge of advanced computing technology to system design methods. This is in fact the second ASI organised by myself and my colleagues in the field of systems reliability; the first was about Electronic Systems Effectiveness and Life Cycle Costing, and the proceed ings were published by the same publisher in 1983, as "Series F (Computer and System Sciences, No. 3)". The first part of the present proceedings concentrates on the development of low-fault and fault-tolerant software. In organising this session I was greatly helped by Mr. John Musa and Professor V. R. Basili. The latter and Or. R. W. Selby open our text with their interesting approach to the problem of data collection and of observation sampling for statistical analysis of software development, software testing strategies and error analysis. The problem of clean room software development is also considered. Next Professor B. Randell discusses recursively structured fault-tolerant distributed computer systems, and bases his approach on a UNIX system example. His aim is to establish that a distributed system should be functionally equivalent to an individual computing system. Or. L. F. Pau considers knowledge engineering techniques applied to fault detection, test generation and maintenance of software. This is illustrated by a variety of examples, such as electronic failure detection, control system testing, analysis of intermittent failures, false alarm reduction and others. Following this Mr. M.
Download or read book Gas Sensing Fundamentals written by Claus-Dieter Kohl and published by Springer. This book was released on 2014-08-18 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume, which addresses various basic sensor principles, covers micro gravimetric sensors, semiconducting and nano tube sensors, calorimetric sensors and optical sensors. Furthermore, the authors discuss recent developments in the related sensitive layers including new properties of nano structured metal oxide layers. They provide in-depth insights into the unique chemistry and signal generation of copper oxide in percolating sensors and present a variety of applications of functional polymers made possible by proper imprinting. Highlights of the subjects covered include: • requirements for high-temperature sensors • carbon nano tube sensors • new sensing model for nanostructured In2O3 • bio mimetic approach for semiconductor sensor-based systems • optical readout for inorganic and organic semiconductor sensors • concept of virtual multisensors to improve specificity and selectivity • calorimetric sensors for hydrogen peroxide detection • percolation effect-based sensors to implement dosimeters • imprinted polymer layers for bulk and surface acoustic wave sensors
Download or read book Prototype Early Warning Fire Detection System Test Series 2 Results written by and published by . This book was released on 2000 with total page 77 pages. Available in PDF, EPUB and Kindle. Book excerpt: The system under development combines a multi-criteria (sensor array) approach with sophisticated data analysis methods. Together an array of sensors and a multivariate classification algorithm has the potential to produce an early warning fire detection system with a low nuisance alarm rate. Several sensors measuring different parameters of the environment produce a pattern or response fingerprint for an event. Multivariate data analysis methods can be trained to recognize the pattern of an important event such as a fire. Multivariate classification methods, such as neural networks, rely on the comparison of events (i.e., fires) with non- events (i.e., background and nuisance sources). Variations in the response of sensors can be used to train an algorithm to recognize events when they occur. A key to the success of these methods is the appropriate design of sensor arrays and training sets of data used to develop the algorithm. This test series included a variety of conditions that may be encountered in a real shipboard environment. Every effort was made to consider many representative fire situations and potential interference sources. including the use of Navy approved materials.
Download or read book The Use of Fire in Forest Restoration written by Society for Ecological Restoration. Conference and published by . This book was released on 1996 with total page 804 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Identification of Fire Signatures for Shipboard Multi Criteria Fire Detection Systems written by and published by . This book was released on 1999 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report presents the initial findings of an experimental program aimed at developing a multi-signature early warning fire detection system. The detection system is to provide reliable warning of actual fire conditions in less time with fewer nuisance alarms than can be achieved with commercially available smoke detection systems. This report discusses the testing and the multivariate data analysis performed and presents candidate sensors suites that will be evaluated further in ongoing work.
Download or read book NBS Special Publication written by and published by . This book was released on 1968 with total page 752 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Real Time Probabilistic Neural Network Performance and Optimization for Fire Detection and Nuisance Alarm Rejection Test Series 1 Results written by and published by . This book was released on 2000 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: A 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.
