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Author: A. Enis Cetin
Publisher: Academic Press
ISBN: 0128026170
Category : Technology & Engineering
Languages : en
Pages : 99
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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
Author: A. Enis Cetin
Publisher: Academic Press
ISBN: 0128026170
Category : Technology & Engineering
Languages : en
Pages : 99
Get Book Here
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
Author: Eliot W. Zimmerman
Publisher:
ISBN:
Category : Forest fire detection
Languages : en
Pages : 36
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Book Description
Author:
Publisher:
ISBN:
Category : Fire extinction
Languages : en
Pages : 820
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Book Description
Author: Sandeep Kumar
Publisher: Springer Nature
ISBN: 9811632464
Category : Technology & Engineering
Languages : en
Pages : 1012
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Book Description
This book gathers selected papers presented at 3rd International Conference on Communication and Computational Technologies (ICCCT 2021), jointly organized in virtual format by Rajasthan Institute of Engineering and Technology, Jaipur and Rajasthan Technical University Kota in association with Soft Computing Research Society, during 27–28 February 2021. The volume is a collection of state-of-the-art research work in the cutting-edge technologies related to communication and intelligent systems. The topics covered are algorithms and applications of intelligent systems, informatics and applications, and communication and control systems.
Author: Joshua Dinaburg
Publisher: Springer Science & Business Media
ISBN: 1461481155
Category : Computers
Languages : en
Pages : 67
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Book Description
Automatic sprinklers systems are the primary fire protection system in warehouse and storage facilities. The effectiveness of this strategy has come into question due to the challenges presented by modern warehouse facilities, including increased storage heights and areas, automated storage retrieval systems (ASRS), limitations on water supplies, and changes in firefighting strategies. The application of fire detection devices used to provide early warning and notification of incipient warehouse fire events is being considered as a component of modern warehouse fire protection. Fire Detection in Warehouse Facilities provides technical information to aid in the development of guidelines and standards for the use of fire detection technologies for modern warehouse fire protection. The authors share their thorough literature review, analyze characteristic fire hazards for modern warehouse facilities, and identify information gaps in the field. The book concludes with recommendations for the development of guidelines and standards for the use of detection technologies in warehouse fire protection design, including a research plan for implementation. This book is intended for practitioners seeking an understanding of the issues surrounding warehouse design and fire protection. The book will also prove valuable for fire hazard researchers and those involved with fire department response, applicable detection systems, and fire growth suppression.
Author: José Francisco Martinez-Trinidad
Publisher: Springer Science & Business Media
ISBN: 3642215866
Category : Computers
Languages : en
Pages : 364
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Book Description
This book constitutes the refereed proceedings of the Third Mexican Conference on Pattern Recognition, MCPR 2011, held in Cancun, Mexico, in June/July 2011. The 37 revised full papers were carefully reviewed and selected from 69 submissions and are organized in topical sections on pattern recognition and data mining; computer vision and robotics; image processing; neural networks and signal processing; and natural language and document processing.
Author: Mahmoud Hassaballah
Publisher: CRC Press
ISBN: 1351003801
Category : Computers
Languages : en
Pages : 275
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Book Description
Deep learning algorithms have brought a revolution to the computer vision community by introducing non-traditional and efficient solutions to several image-related problems that had long remained unsolved or partially addressed. This book presents a collection of eleven chapters where each individual chapter explains the deep learning principles of a specific topic, introduces reviews of up-to-date techniques, and presents research findings to the computer vision community. The book covers a broad scope of topics in deep learning concepts and applications such as accelerating the convolutional neural network inference on field-programmable gate arrays, fire detection in surveillance applications, face recognition, action and activity recognition, semantic segmentation for autonomous driving, aerial imagery registration, robot vision, tumor detection, and skin lesion segmentation as well as skin melanoma classification. The content of this book has been organized such that each chapter can be read independently from the others. The book is a valuable companion for researchers, for postgraduate and possibly senior undergraduate students who are taking an advanced course in related topics, and for those who are interested in deep learning with applications in computer vision, image processing, and pattern recognition.
Author: Bidyut B. Chaudhuri
Publisher: Springer
ISBN: 981107898X
Category : Technology & Engineering
Languages : en
Pages : 405
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Book Description
The book provides insights into the Second International Conference on Computer Vision & Image Processing (CVIP-2017) organized by Department of Computer Science and Engineering of Indian Institute of Technology Roorkee. The book presents technological progress and research outcomes in the area of image processing and computer vision. The topics covered in this book are image/video processing and analysis; image/video formation and display; image/video filtering, restoration, enhancement and super-resolution; image/video coding and transmission; image/video storage, retrieval and authentication; image/video quality; transform-based and multi-resolution image/video analysis; biological and perceptual models for image/video processing; machine learning in image/video analysis; probability and uncertainty handling for image/video processing; motion and tracking; segmentation and recognition; shape, structure and stereo.
Author: Rajiv Pandey
Publisher: Academic Press
ISBN: 0128240555
Category : Science
Languages : en
Pages : 516
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Book Description
Artificial Intelligence and Machine Learning for Predictive and Analytical Rendering in Edge Computing focuses on the role of AI and machine learning as it impacts and works alongside Edge Computing. Sections cover the growing number of devices and applications in diversified domains of industry, including gaming, speech recognition, medical diagnostics, robotics and computer vision and how they are being driven by Big Data, Artificial Intelligence, Machine Learning and distributed computing, may it be Cloud Computing or the evolving Fog and Edge Computing paradigms. Challenges covered include remote storage and computing, bandwidth overload due to transportation of data from End nodes to Cloud leading in latency issues, security issues in transporting sensitive medical and financial information across larger gaps in points of data generation and computing, as well as design features of Edge nodes to store and run AI/ML algorithms for effective rendering. - Provides a reference handbook on the evolution of distributed systems, including Cloud, Fog and Edge Computing - Integrates the various Artificial Intelligence and Machine Learning techniques for effective predictions at Edge rather than Cloud or remote Data Centers - Provides insight into the features and constraints in Edge Computing and storage, including hardware constraints and the technological/architectural developments that shall overcome those constraints
Author: Chuanchao Huang
Publisher: Springer Nature
ISBN: 9811617260
Category : Technology & Engineering
Languages : en
Pages : 1669
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Book Description
This book covers cutting-edge and advanced research on data processing techniques and applications for cyber-physical systems, gathering the proceedings of the International Conference on Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2020), held in Laibin City, Guangxi Province, China, on December 11–12, 2020. It examines a wide range of topics, including distributed processing for sensor data in CPS networks; approximate reasoning and pattern recognition for CPS networks; data platforms for efficient integration with CPS networks; machine learning algorithms for CPS networks; and data security and privacy in CPS networks. Outlining promising future research directions, the book offers a valuable resource for students, researchers, and professionals alike, while also providing a useful reference guide for newcomers to the field.
