Development of an Early Warning Multi-criteria Fire Detection System: Analysis of Transient Fire Signatures Using a Probabilistic Neural Network

Development of an Early Warning Multi-criteria Fire Detection System: Analysis of Transient Fire Signatures Using a Probabilistic Neural Network

Author:

Publisher:

Published: 2000

Total Pages: 33

ISBN-13:

DOWNLOAD EBOOK

This report describes the progress made in developing an early warning, multi-criteria, fire detection system for the Office of Naval Research (ONR) program on Damage Control: Automation for Reduced Manning (DC-ARM). In this work, the analysis of transient fire signatures is studied using a probabilistic neural network (PNN). Experiments are described to study the effects of various PNN training parameters and to determine the optimal sensor suite combination, which enables both early fire detection and high nuisance source rejection. Comparisons are made between the candidate sensor arrays, commercial fire detection systems, and sensor arrays proposed in previous reports. Recommendations and directions for future research are also given.


Analysis of Multi-Criteria Fire Detection Data and Early Warning Fire Detection Prototype Selection

Analysis of Multi-Criteria Fire Detection Data and Early Warning Fire Detection Prototype Selection

Author:

Publisher:

Published: 2000

Total Pages: 30

ISBN-13:

DOWNLOAD EBOOK

This report describes the analysis of Fire/Nuisance Source data and the selection of sensors for an early warning, multi-criteria, fire detection system for the Office of Naval Research (ONR) program on Damage Control: Automation for Reduced Manning (DC-ARM). In this work, the analysis of transient fire signatures is studied using a probabilistic neural network (PNN). Experiments are described to study the effects of various PNN training parameters and to determine the optimal sensor suite combination, which enables both early fire detection and high nuisance source rejection. Comparisons are made between the candidate sensor arrays, commercial fire detection systems, and sensor arrays proposed in previous reports Recommendations and directions for future research are also given.


Feedback

Feedback

Author: United States. Department of Housing and Urban Development. Office of Policy Development and Research

Publisher:

Published: 1974

Total Pages: 238

ISBN-13:

DOWNLOAD EBOOK


Modeling and Simulation of Systems Using MATLAB and Simulink

Modeling and Simulation of Systems Using MATLAB and Simulink

Author: Devendra K. Chaturvedi

Publisher: CRC Press

Published: 2017-12-19

Total Pages: 734

ISBN-13: 143980673X

DOWNLOAD EBOOK

Not only do modeling and simulation help provide a better understanding of how real-world systems function, they also enable us to predict system behavior before a system is actually built and analyze systems accurately under varying operating conditions. Modeling and Simulation of Systems Using MATLABĀ® and SimulinkĀ® provides comprehensive, state-of-the-art coverage of all the important aspects of modeling and simulating both physical and conceptual systems. Various real-life examples show how simulation plays a key role in understanding real-world systems. The author also explains how to effectively use MATLAB and Simulink software to successfully apply the modeling and simulation techniques presented. After introducing the underlying philosophy of systems, the book offers step-by-step procedures for modeling different types of systems using modeling techniques, such as the graph-theoretic approach, interpretive structural modeling, and system dynamics modeling. It then explores how simulation evolved from pre-computer days into the current science of today. The text also presents modern soft computing techniques, including artificial neural networks, fuzzy systems, and genetic algorithms, for modeling and simulating complex and nonlinear systems. The final chapter addresses discrete systems modeling. Preparing both undergraduate and graduate students for advanced modeling and simulation courses, this text helps them carry out effective simulation studies. In addition, graduate students should be able to comprehend and conduct simulation research after completing this book.


Leak Detection

Leak Detection

Author: Stuart Hamilton

Publisher: IWA Publishing

Published: 2013-06-30

Total Pages: 106

ISBN-13: 1780404700

DOWNLOAD EBOOK

Ageing infrastructure and declining water resources are major concerns with a growing global population. Controlling water loss has therefore become a priority for water utilities around the world. In order to improve efficiencies, water utilities need to apply good practices in leak detection. Leak Detection: Technology and Implementation assists water utilities with the development and implementation of leak detection programs. Leak detection and repair is one of the components of controlling water loss. In addition, techniques are discussed within this book and relevant case studies are presented. This book provides useful and practical information on leakage issues.


Soft Computing

Soft Computing

Author: Devendra K. Chaturvedi

Publisher: Springer

Published: 2010-11-20

Total Pages: 0

ISBN-13: 9783642096228

DOWNLOAD EBOOK

This book is an introduction to some new fields in soft computing with its principal components of fuzzy logic, ANN and EA. The approach in this book is to provide an understanding of the soft computing field and to work through soft computing using examples. It also aims to integrate pseudo-code operational summaries and Matlab codes, to present computer simulation, to include real world applications and to highlight the distinctive work of human consciousness in machine.


Real-time Coastal Observing Systems for Marine Ecosystem Dynamics and Harmful Algal Blooms

Real-time Coastal Observing Systems for Marine Ecosystem Dynamics and Harmful Algal Blooms

Author: Babin, Marcel

Publisher: UNESCO

Published: 2008-06-05

Total Pages: 880

ISBN-13: 9231040421

DOWNLOAD EBOOK

The proliferation of harmful phytoplankton in marine ecosystems can cause massive fish kills, contaminate seafood with toxins, impact local and regional economies and dramatically affect ecological balance. Real-time observations are essential for effective short-term operational forecasting, but observation and modelling systems are still being developed. This volume provides guidance for developing real-time and near real-time sensing systems for observing and predicting plankton dynamics, including harmful algal blooms, in coastal waters. The underlying theory is explained and current trends in research and monitoring are discussed.Topics covered include: coastal ecosystems and dynamics of harmful algal blooms; theory and practical applications of in situ and remotely sensed optical detection of microalgal distributions and composition; theory and practical applications of in situ biological and chemical sensors for targeted species and toxin detection; integrated observing systems and platforms for detection; diagnostic and predictive modelling of ecosystems and harmful algal blooms, including data assimilation techniques; observational needs for the public and government; and future directions for research and operations.