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Maged Marghany - Genetic Algorithms and Remote Sensing Technology for Tracking Flight Debris

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Maged Marghany Genetic Algorithms and Remote Sensing Technology for Tracking Flight Debris
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The tragic disappearance of the Malaysia Airlines Flight MH370 has created a need for research in the areas of aircraft transportation, and specifically flight debris tracking. As researchers and scientists continue to search for novel technologies that will assist with aeronautical detection, two modes have emerged as possible solutions. The use of remote sensing technology and genetic algorithms are techniques that scientists are beginning to use to improve aircraft trajectory models and to locate downed aircraft. Genetic Algorithms and Remote Sensing Technology for Tracking Flight Debris is an essential reference source that discusses developing tracking methods using advanced algorithms as well as satellite technologies. Featuring research on topics such as wave pattern modeling, microwave satellite data, and trajectory movement, this book is ideally designed for practitioners, researchers, oceanographers, aerospace engineers, scientists, educators, developers, analysts, and students seeking coverage on advancements in sensor and tracking technology in regard to flight dynamics.

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Genetic Algorithms and Remote Sensing Technology for Tracking Flight Debris - photo 1
Genetic Algorithms and Remote Sensing Technology for Tracking Flight Debris
  • Maged Marghany
    Syiah Kuala University, Indonesia

A volume in the Advances in Mechatronics and Mechanical Engineering (AMME) Book Series Book Series

Published in the United States of America by IGI Global an imprint of IGI - photo 2Published in the United States of America by IGI Global an imprint of IGI - photo 3

Published in the United States of America by IGI Global (an imprint of IGI Global) 701 E. Chocolate Avenue Hershey PA 17033 Tel: 717-533-8845 Fax: 717-533-8661 E-mail: cust@igi-global.com Web site: http://www.igi-global.com/reference

Copyright 2020 by IGI Global. All rights reserved. No part of this publication may be reproduced, stored or distributed in any form or by any means, electronic or mechanical, including photocopying, without written permission from the publisher.

Product or company names used in this set are for identification purposes only. Inclusion of the names of the products or companies does not indicate a claim of ownership by IGI Global of the trademark or registered trademark.

Library of Congress Cataloging-in-Publication Data


Names: Marghany, Maged, author.
Title: Genetic algorithms and remote sensing technology for tracking flight
debris / by Maged Marghany.
Description: Hershey, PA : Engineering Science Reference, 2020. | Includes
bibliographical references and index. | Summary: "This book explores the
use of genetic algorithms in the context of the analysis of remotely
sensed images. This is illustrated with a case study of the M370
crash"-- Provided by publisher.
Identifiers: LCCN 2019035517 (print) | LCCN 2019035518 (ebook) | ISBN
9781799819202 (h/c) | ISBN 9781799819219 (s/c) | ISBN 9781799819226
(eISBN)
Subjects: LCSH: Aircraft accidents--Investigation--Data processing. |
Marine debris--Remote sensing--Data processing. | Genetic algorithms. |
Malaysia Airlines Flight 370 Incident, 2014.
Classification: LCC TL553.5 .M325 2020 (print) | LCC TL553.5 (ebook) |
DDC 363.12/46501519625--dc23
LC record available at https://lccn.loc.gov/2019035517
LC ebook record available at https://lccn.loc.gov/2019035518

This book is published under the IGI Global book series Advances in Mechatronics and Mechanical Engineering (AMME) (ISSN: 2328-8205 eISSN: 2328-823X)

British Cataloguing in Publication Data

A Cataloguing in Publication record for this book is available from the British Library.

All work contributed to this book is new, previously-unpublished material. The views expressed in this book are those of the authors, but not necessarily of the publisher.

Advances in Mechatronics and Mechanical Engineering AMME Book Series J Paulo - photo 4
Advances in Mechatronics and Mechanical Engineering (AMME) Book Series

J. Paulo Davim (University of Aveiro, Portugal)

ISSN: 2328-8205

Mission

With its aid in the creation of smartphones, cars, medical imaging devices, and manufacturing tools, the mechatronics engineering field is in high demand. Mechatronics aims to combine the principles of mechanical, computer, and electrical engineering together to bridge the gap of communication between the different disciplines.

The Advances in Mechatronics and Mechanical Engineering (AMME) Book Series provides innovative research and practical developments in the field of mechatronics and mechanical engineering. This series covers a wide variety of application areas in electrical engineering, mechanical engineering, computer and software engineering; essential for academics, practitioners, researchers, and industry leaders.

Coverage
  • Nanomaterials and nanomanufacturing
  • Biologically Inspired Robotics
  • Control Methodologies
  • Tribology and surface engineering
  • Computer-Based Manufacturing
  • Micro and nanomechanics
  • Computational Mechanics
  • Vibration and acoustics
  • Bioengineering Materials
  • Sustainable and green manufacturing

IGI Global is currently accepting manuscripts for publications within this series. To submit a proposal for a volume in this series please contact our Acquisition Editors at .

The Advances in Mechatronics and Mechanical Engineering (AMME) Book Series(ISSN 2328-8205) is published by IGI Global, 701 E. Chocolate Avenue, Hershey, PA 17033-1240, USA, www.igi-global.com. This series is composed of titlesavailable for purchase individually; each title is edited to be contextually exclusive from any other title within the series. For pricing and ordering information please visit http://www.igi-global.com/book-series/advances-mechatronics-mechanical-engineering/73808. Postmaster: send all address changes to above address. Copyright 2020 IGI Global. All rights, including translation in other languages reserved by the pulisher. No part of this series may be reproduced or used in any form or by any means - graphics, electronic, or mechanical, including photocopying, recoreding, taping, or information and retrieval systems - without written permission from the publisher, except for non commercial, educational use, including classroom teaching purposes. The views expressed in this series are those of the authors, but not necessarily of IGI Global

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Handbook of Research on Artificial Intelligence Applications in the Aviation and Aerospace Industries
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