Author: R. W. BukowskiPublisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
New Approaches to the Interpretation of Signals From Fire Sensors
Author: R. W. BukowskiMethods and Techniques for Fire Detection
Author: A. Enis CetinPublisher: Academic Press
ISBN: 0128026170
Category : Technology & Engineering
Languages : en
Pages : 99
Book Description
This book describes the signal, image and video processing methods and techniques for fire detection and provides a thorough and practical overview of this important subject, as a number of new methods are emerging. This book will serve as a reference for signal processing and computer vision, focusing on fire detection and methods for volume sensors. Applications covered in this book can easily be adapted to other domains, such as multi-modal object recognition in other safety and security problems, with scientific importance for fire detection, as well as video surveillance. Coverage includes: Camera Based Techniques Multi-modal/Multi-sensor fire analysis Pyro-electric Infrared Sensors for Flame Detection Large scale fire experiments Wildfire detection from moving aerial platforms The basics of signal, image and video processing based fire detection The latest fire detection methods and techniques using computer vision Non-conventional fire detectors: Fire detection using volumetric sensors Recent large-scale fire experiments and their results New and emerging technologies and areas for further research
New Approaches for Multidimensional Signal Processing
Author: Roumen KountchevPublisher: Springer Nature
ISBN: 9819701090
Category :
Languages : en
Pages : 336
Book Description
Building and Fire Research Laboratory Publications
Author: Building and Fire Research Laboratory (U.S.)Publisher:
ISBN:
Category : Building
Languages : en
Pages : 128
Book Description
Fire Detectors Based on Chemical Sensor Arrays and Machine Learning Algorithms
Author: Ana Maria Solorzano SoriaPublisher:
ISBN:
Category :
Languages : en
Pages : 223
Book Description
"In some types of fire, namely, smoldering fires or involving polymers without flame, gases and volatiles appear before smoke is released. Most of the fatalities registered for fires, are caused due to the intoxication of the building occupants over the burns. Nowadays, conventional fire detectors are based on the detection of smoke or airborne particles. In smoldering fires situations, conventional fire detectors triggers the alarm after the release of toxic emissions. The early emission of gas in fires opens the possibility to build fire alarm systems with shorter response times than widespread smoke-based detectors. Actually, the sensitivity of gas sensors to combustion products has been proved for many years. However, already early works remarked the challenge of providing reliable fire detection using chemical sensors. As gas sensors are not specific, they can be calibrated to detect large variety of fire signatures. But, at the same time, they are also potentially sensitive to any activity that releases volatiles when being performed. Cross-sensitivity to water vapor and other chemical compounds make gas-based fire alarm systems prone to false positives. For that reason, the development of reliable and robust fire detectors based on gas sensors relies in pattern recognition and Machine Learning algorithms to discriminate fire from nuisance sensor signatures.The presented PhD. Thesis explore the role of pattern recognition algorithms for fire detection using detectors based exclusively in chemical sensors. Two prototypes based on different types of gas sensors were designed. The sensor selection was performed to be sensitive to combustion products and to capture other volatiles that may help to discriminate fire and nuisances. Machine Learning algorithms for the prediction of fire were trained using standard fire tests stablished in EU norm 54. Additionally to those test experiments that may induce false alarms were also performed. Two approaches of machine learning algorithms were explore. The first prediction algorithms is based on Partial Least Squares Discriminant Analysis and the second set of algorithms are based on Support Vector Machines.Additionally, two new methodologies for cost reduction are presented. The first methodology build fire detection algorithms using the combination of Standard fire test and a reduced version of those experiments. The reduced version were performed in a small chamber. The smaller setup allows the performance of experiments in a shorter period of time. In consequence, the number of experiments to test the models increase and also the robustness of the prediction algorithms. The second methodology built general calibration models using replicates of the same sensor array. The use of different units rejects the variance between sensor arrays and allows the construction of general calibration models. The use of a single model to calibrate sensor arrays systems allows the mass production and resulting in the reduction of costs production." -- TDX.
Proceedings of the 27th International Symposium on Advancement of Construction Management and Real Estate
Author: Jing LiPublisher: Springer Nature
ISBN: 9819936268
Category : Business & Economics
Languages : en
Pages : 1833
Book Description
This book presents the proceedings of CRIOCM 2022 (27th International Conference on Advancement of Construction Management and Real Estate), sharing the latest developments in real estate and construction management around the globe. The conference was organized by the Chinese Research Institute of Construction Management (CRIOCM) working in close collaboration with The Chinese University of Hong Kong. Written by international academics and professionals, the book discusses the latest achievements, research findings, and advances in frontier disciplines in the field of construction management and real estate. Covering a wide range of topics, including spatial planning and land use innovation, integration and application of BIM and GIS, low-carbon built environment, post-pandemic resilient cities development, housing and social governance, real estate market and urban policy, real estate finance and economics, intelligent construction and smart city, built environment for healthy living, and construction management in the post-COVID-19 era, the discussions provide valuable insights into the implementation of advanced construction project management and real estate market in China and abroad. The book offers an outstanding resource for academics and professionals
Signal
Author: New Approaches to Transient Detection and Signal Segmentation
Author: Zhen WangIntelligent Systems
Author: Cornelius T. LeondesPublisher: CRC Press
ISBN: 1420040812
Category : Technology & Engineering
Languages : en
Pages : 2400
Book Description
Intelligent systems, or artificial intelligence technologies, are playing an increasing role in areas ranging from medicine to the major manufacturing industries to financial markets. The consequences of flawed artificial intelligence systems are equally wide ranging and can be seen, for example, in the programmed trading-driven stock market crash of October 19, 1987. Intelligent Systems: Technology and Applications, Six Volume Set connects theory with proven practical applications to provide broad, multidisciplinary coverage in a single resource. In these volumes, international experts present case-study examples of successful practical techniques and solutions for diverse applications ranging from robotic systems to speech and signal processing, database management, and manufacturing.
Department of Transportation and Related Agencies Appropriations for 1999
Author: United States. Congress. House. Committee on Appropriations. Subcommittee on Department of Transportation and Related Agencies AppropriationsPublisher:
ISBN:
Category : United States
Languages : en
Pages : 2014
Book Description