Genetic Algorithm Based Simulation-optimization for Fighting Wildfires

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ISBN 13 :
Total Pages : 114 pages
Book Rating : 4.:/5 (654 download)

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Book Synopsis Genetic Algorithm Based Simulation-optimization for Fighting Wildfires by : Baisravan HomChaudhuri

Download or read book Genetic Algorithm Based Simulation-optimization for Fighting Wildfires written by Baisravan HomChaudhuri and published by . This book was released on 2010 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wildfire is one of the most significant disturbances responsible for reshaping the terrain and changing the ecosystem of a particular region. Detrimental effects of wildfires on environment as well as human lives and properties, and the growing trend in terms of frequency and intensity over the last decade have necessitated the development of efficient forest fire management techniques. During the last three decades, Forest Fire Decision Support Systems (FFDSS) have been developed to help in the decision-making processes during forest fires by providing necessary information on fire detection, their status and behavior, and other aspects of forest fires. However, most of these decision support systems lack the capability of developing intelligent fire suppression strategies based upon current status and predicted behavior of forest fire. This thesis presents an approach for construction of efficient fireline via intelligent resource allocation. A Genetic Algorithm based approach has been proposed in this thesis for resource allocation and optimum fireline building that minimizes the total damage due to wildland fires. The approach is based on a simulation-optimization technique in which the Genetic Algorithm uses advanced forest fire propagation models based upon Huygens principles for evaluation of performance index of its solutions. Both homogeneous and heterogeneous scenarios have been considered. Uncertainties in weather conditions as well as imperfect knowledge about exact vegetation and topographical conditions make exact prediction of wildfires very difficult. The thesis presents Monte-Carlo simulations to develop robust strategies in uncertain conditions. Extensive simulations demonstrate the effectiveness of the proposed approach in efficient resource allocation for fighting complex wildfires in uncertain and dynamic conditions. Application of Parallel Genetic Algorithm has also been shown that reduces computation time without compromising the optimality of solution.

Computational Science and Its Applications – ICCSA 2024 Workshops

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Publisher : Springer Nature
ISBN 13 : 3031652231
Total Pages : 474 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Computational Science and Its Applications – ICCSA 2024 Workshops by : Osvaldo Gervasi

Download or read book Computational Science and Its Applications – ICCSA 2024 Workshops written by Osvaldo Gervasi and published by Springer Nature. This book was released on with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computational Science and Its Applications – ICCSA 2023 Workshops

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Publisher : Springer Nature
ISBN 13 : 3031371089
Total Pages : 779 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Computational Science and Its Applications – ICCSA 2023 Workshops by : Osvaldo Gervasi

Download or read book Computational Science and Its Applications – ICCSA 2023 Workshops written by Osvaldo Gervasi and published by Springer Nature. This book was released on 2023-06-30 with total page 779 pages. Available in PDF, EPUB and Kindle. Book excerpt: This nine-volume set LNCS 14104 – 14112 constitutes the refereed workshop proceedings of the 23rd International Conference on Computational Science and Its Applications, ICCSA 2023, held at Athens, Greece, during July 3–6, 2023. The 350 full papers and 29 short papers and 2 PHD showcase papers included in this volume were carefully reviewed and selected from a total of 876 submissions. These nine-volumes includes the proceedings of the following workshops: Advances in Artificial Intelligence Learning Technologies: Blended Learning, STEM, Computational Thinking and Coding (AAILT 2023); Advanced Processes of Mathematics and Computing Models in Complex Computational Systems (ACMC 2023); Artificial Intelligence supported Medical data examination (AIM 2023); Advanced and Innovative web Apps (AIWA 2023); Assessing Urban Sustainability (ASUS 2023); Advanced Data Science Techniques with applications in Industry and Environmental Sustainability (ATELIERS 2023); Advances in Web Based Learning (AWBL 2023); Blockchain and Distributed Ledgers: Technologies and Applications (BDLTA 2023); Bio and Neuro inspired Computing and Applications (BIONCA 2023); Choices and Actions for Human Scale Cities: Decision Support Systems (CAHSC-DSS 2023); and Computational and Applied Mathematics (CAM 2023).

An Algorithm to Help Design Fire Simulation and Other Data Base Work

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ISBN 13 :
Total Pages : 4 pages
Book Rating : 4.:/5 (319 download)

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Book Synopsis An Algorithm to Help Design Fire Simulation and Other Data Base Work by : Romain M. Mees

Download or read book An Algorithm to Help Design Fire Simulation and Other Data Base Work written by Romain M. Mees and published by . This book was released on 1974 with total page 4 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Canadian Journal of Forest Research

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ISBN 13 :
Total Pages : 438 pages
Book Rating : 4.:/5 (8 download)

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Book Synopsis Canadian Journal of Forest Research by :

Download or read book Canadian Journal of Forest Research written by and published by . This book was released on 2015-04 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt:

A New Simulation-optimization Model for Wildland Fire Resource Pre-positioning

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ISBN 13 :
Total Pages : 83 pages
Book Rating : 4.:/5 (126 download)

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Book Synopsis A New Simulation-optimization Model for Wildland Fire Resource Pre-positioning by : Rachel A. Seeberger

Download or read book A New Simulation-optimization Model for Wildland Fire Resource Pre-positioning written by Rachel A. Seeberger and published by . This book was released on 2020 with total page 83 pages. Available in PDF, EPUB and Kindle. Book excerpt: Every day, using detailed weather forecasts, paired with reports on the moisture content of soil and vegetation, the Los Angeles County Fire Department (LACoFD) must decide where to pre-position firefighting equipment and personnel for the following day. For years, LACoFD has relied on their own expert judgment to make these costly decisions. In 2019, NPS student Zachary Scholz developed the Augmentation Optimization Model (AOM), a mathematically based decision tool to guide resource pre-positioning. Unfortunately, AOM relies on weak estimations of expected burned acreage, complicating result interpretation. We address this problem by developing a simulation to estimate \"initial attack\" area containment as a function of pre-positioned resources. These estimates inform the new AOM’s objective, producing improved, realistic, and interpretable results. In addition, we have followed LACoFD feedback to incorporate accessibility and steepness of terrain, hand-crew resources, and solution evaluation. We also standardize assembled resources as mixes of engines and exchangeable personnel and reformulate the model so it generates and solves faster. Through an upgraded user interface, LACoFD is using the new AOM daily and analyzing alternatives of protection and cost. The results improve those of legacy AOM and LACoFD's manual solutions on the critical days tested. Moreover, we demonstrate that protection can benefit from augmentation policies not solely based on burning index.

Internet of Vehicles. Technologies and Services Towards Smart City

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Publisher : Springer
ISBN 13 : 3030050815
Total Pages : 308 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Internet of Vehicles. Technologies and Services Towards Smart City by : Andrzej M.J. Skulimowski

Download or read book Internet of Vehicles. Technologies and Services Towards Smart City written by Andrzej M.J. Skulimowski and published by Springer. This book was released on 2018-11-20 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 5th International Conference on the Internet of Vehicles, IOV 2018, which took place in Paris, France, in November 2018. This year’s theme was “Technologies and Services Towards Smart City”. The 21 papers presented in this volume were carefully reviewed and selected from 41 submissions. The papers are organized in topical sections named: IoV communications and networking; IoV clouds and services; vehicular modeling and simulation; and vehicular security and privacy.

Bio-inspired Computation in Unmanned Aerial Vehicles

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Publisher : Springer Science & Business Media
ISBN 13 : 3642411967
Total Pages : 285 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Bio-inspired Computation in Unmanned Aerial Vehicles by : Haibin Duan

Download or read book Bio-inspired Computation in Unmanned Aerial Vehicles written by Haibin Duan and published by Springer Science & Business Media. This book was released on 2014-01-02 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bio-inspired Computation in Unmanned Aerial Vehicles focuses on the aspects of path planning, formation control, heterogeneous cooperative control and vision-based surveillance and navigation in Unmanned Aerial Vehicles (UAVs) from the perspective of bio-inspired computation. It helps readers to gain a comprehensive understanding of control-related problems in UAVs, presenting the latest advances in bio-inspired computation. By combining bio-inspired computation and UAV control problems, key questions are explored in depth, and each piece is content-rich while remaining accessible. With abundant illustrations of simulation work, this book links theory, algorithms and implementation procedures, demonstrating the simulation results with graphics that are intuitive without sacrificing academic rigor. Further, it pays due attention to both the conceptual framework and the implementation procedures. The book offers a valuable resource for scientists, researchers and graduate students in the field of Control, Aerospace Technology and Astronautics, especially those interested in artificial intelligence and Unmanned Aerial Vehicles. Professor Haibin Duan and Dr. Pei Li, both work at Beihang University (formerly Beijing University of Aeronautics & Astronautics, BUAA). Prof Duan's academic website is: http://hbduan.buaa.edu.cn

Applications of Evolutionary Computation

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Publisher : Springer Nature
ISBN 13 : 3031024621
Total Pages : 759 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Applications of Evolutionary Computation by : Juan Luis Jiménez Laredo

Download or read book Applications of Evolutionary Computation written by Juan Luis Jiménez Laredo and published by Springer Nature. This book was released on 2022-04-15 with total page 759 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 25th International Conference on Applications of Evolutionary Computation, EvoApplications 2022, held as part of Evo*2022, in April 2022, co-located with the Evo*2022 events EuroGP, EvoCOP, and EvoMUSART. The 46 revised full papers presented in this book were carefully reviewed and selected from 67 submissions.

Machine Learning

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Publisher : MIT Press
ISBN 13 : 0262018020
Total Pages : 1102 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Machine Learning by : Kevin P. Murphy

Download or read book Machine Learning written by Kevin P. Murphy and published by MIT Press. This book was released on 2012-08-24 with total page 1102 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach. Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach. The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges

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Publisher : Springer Nature
ISBN 13 : 3031377427
Total Pages : 732 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges by : Jean-Jacques Rousseau

Download or read book Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges written by Jean-Jacques Rousseau and published by Springer Nature. This book was released on 2023-08-01 with total page 732 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 4-volumes set constitutes the proceedings of the ICPR 2022 Workshops of the 26th International Conference on Pattern Recognition Workshops, ICPR 2022, Montreal, QC, Canada, August 2023. The 167 full papers presented in these 4 volumes were carefully reviewed and selected from numerous submissions. ICPR workshops covered domains related to pattern recognition, artificial intelligence, computer vision, image and sound analysis. Workshops’ contributions reflected the most recent applications related to healthcare, biometrics, ethics, multimodality, cultural heritage, imagery, affective computing, etc.

Algorithms for Decision Making

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Publisher : MIT Press
ISBN 13 : 0262047012
Total Pages : 701 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Algorithms for Decision Making by : Mykel J. Kochenderfer

Download or read book Algorithms for Decision Making written by Mykel J. Kochenderfer and published by MIT Press. This book was released on 2022-08-16 with total page 701 pages. Available in PDF, EPUB and Kindle. Book excerpt: A broad introduction to algorithms for decision making under uncertainty, introducing the underlying mathematical problem formulations and the algorithms for solving them. Automated decision-making systems or decision-support systems—used in applications that range from aircraft collision avoidance to breast cancer screening—must be designed to account for various sources of uncertainty while carefully balancing multiple objectives. This textbook provides a broad introduction to algorithms for decision making under uncertainty, covering the underlying mathematical problem formulations and the algorithms for solving them. The book first addresses the problem of reasoning about uncertainty and objectives in simple decisions at a single point in time, and then turns to sequential decision problems in stochastic environments where the outcomes of our actions are uncertain. It goes on to address model uncertainty, when we do not start with a known model and must learn how to act through interaction with the environment; state uncertainty, in which we do not know the current state of the environment due to imperfect perceptual information; and decision contexts involving multiple agents. The book focuses primarily on planning and reinforcement learning, although some of the techniques presented draw on elements of supervised learning and optimization. Algorithms are implemented in the Julia programming language. Figures, examples, and exercises convey the intuition behind the various approaches presented.

2020 Winter Simulation Conference (WSC)

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ISBN 13 : 9781728195001
Total Pages : pages
Book Rating : 4.1/5 (95 download)

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Book Synopsis 2020 Winter Simulation Conference (WSC) by : IEEE Staff

Download or read book 2020 Winter Simulation Conference (WSC) written by IEEE Staff and published by . This book was released on 2020-12-14 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: WSC is the premier international forum for disseminating recent advances in the field of system simulation In addition to a technical program of unsurpassed scope and quality, WSC provides the central meeting for practitioners, researchers, and vendors

Forest Fire Detection

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ISBN 13 :
Total Pages : 36 pages
Book Rating : 4.:/5 (319 download)

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Book Synopsis Forest Fire Detection by : Eliot W. Zimmerman

Download or read book Forest Fire Detection written by Eliot W. Zimmerman and published by . This book was released on 1969 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt:

A Mathematical Model for Predicting Fire Spread in Wildland Fuels

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ISBN 13 :
Total Pages : 52 pages
Book Rating : 4.:/5 (319 download)

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Book Synopsis A Mathematical Model for Predicting Fire Spread in Wildland Fuels by : Richard C. Rothermel

Download or read book A Mathematical Model for Predicting Fire Spread in Wildland Fuels written by Richard C. Rothermel and published by . This book was released on 1972 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Fire Science

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Publisher : Springer Nature
ISBN 13 : 3030698157
Total Pages : 670 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Fire Science by : Francisco Castro Rego

Download or read book Fire Science written by Francisco Castro Rego and published by Springer Nature. This book was released on 2021-09-24 with total page 670 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides students and academics with a conceptual understanding of fire behavior and fire effects on people and ecosystems to support effective integrated fire management. Through case studies, interactive spreadsheets programmed with equations and graphics, and clear explanations, the book provides undergraduate, graduate, and professional readers with a straightforward learning path. The authors draw from years of experience in successfully teaching fundamental concepts and applications, synthesizing cutting-edge science, and applying lessons learned from fire practitioners. We discuss fire as part of environmental and human health. Our process-based, comprehensive, and quantitative approach encompasses combustion and heat transfer, and fire effects on people, plants, soils, and animals in forest, grassland, and woodland ecosystems from around the Earth. Case studies and examples link fundamental concepts to local, landscape, and global fire implications, including social-ecological systems. Globally, fire science and integrated fire management have made major strides in the last few decades. Society faces numerous fire-related challenges, including the increasing occurrence of large fires that threaten people and property, smoke that poses a health hazard, and lengthening fire seasons worldwide. Fires are useful to suppress fires, conserve wildlife and habitat, enhance livestock grazing, manage fuels, and in ecological restoration. Understanding fire science is critical to forecasting the implication of global change for fires and their effects. Increasing the positive effects of fire (fuels reduction, enhanced habitat for many plants and animals, ecosystem services increased) while reducing the negative impacts of fires (loss of human lives, smoke and carbon emissions that threaten health, etc.) is part of making fires good servants rather than bad masters.

Industry 4.1

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Publisher : John Wiley & Sons
ISBN 13 : 1119739896
Total Pages : 562 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Industry 4.1 by : Fan-Tien Cheng

Download or read book Industry 4.1 written by Fan-Tien Cheng and published by John Wiley & Sons. This book was released on 2021-10-26 with total page 562 pages. Available in PDF, EPUB and Kindle. Book excerpt: Industry 4.1 Intelligent Manufacturing with Zero Defects Discover the future of manufacturing with this comprehensive introduction to Industry 4.0 technologies from a celebrated expert in the field Industry 4.1: Intelligent Manufacturing with Zero Defects delivers an in-depth exploration of the functions of intelligent manufacturing and its applications and implementations through the Intelligent Factory Automation (iFA) System Platform. The book’s distinguished editor offers readers a broad range of resources that educate and enlighten on topics as diverse as the Internet of Things, edge computing, cloud computing, and cyber-physical systems. You’ll learn about three different advanced prediction technologies: Automatic Virtual Metrology (AVM), Intelligent Yield Management (IYM), and Intelligent Predictive Maintenance (IPM). Different use cases in a variety of manufacturing industries are covered, including both high-tech and traditional areas. In addition to providing a broad view of intelligent manufacturing and covering fundamental technologies like sensors, communication standards, and container technologies, the book offers access to experimental data through the IEEE DataPort. Finally, it shows readers how to build an intelligent manufacturing platform called an Advanced Manufacturing Cloud of Things (AMCoT). Readers will also learn from: An introduction to the evolution of automation and development strategy of intelligent manufacturing A comprehensive discussion of foundational concepts in sensors, communication standards, and container technologies An exploration of the applications of the Internet of Things, edge computing, and cloud computing The Intelligent Factory Automation (iFA) System Platform and its applications and implementations A variety of use cases of intelligent manufacturing, from industries like flat-panel, semiconductor, solar cell, automotive, aerospace, chemical, and blow molding machine Perfect for researchers, engineers, scientists, professionals, and students who are interested in the ongoing evolution of Industry 4.0 and beyond, Industry 4.1: Intelligent Manufacturing with Zero Defects will also win a place in the library of laypersons interested in intelligent manufacturing applications and concepts. Completely unique, this book shows readers how Industry 4.0 technologies can be applied to achieve the goal of Zero Defects for all product