Unmanned Aerial Vehicles Swarm for Protecting Smart Cities: Future Trends and Challenges
Arshi, Oroos, Khan, Inam Ullah, Kaushik, Keshav
相關主題
商品描述
Explore the intersection between unmanned aerial vehicles (UAVs) and the evolving landscape of smart cities. With the increasing integration of technology into urban environments, there is a growing need to understand how UAV swarms can contribute to the safety, efficiency, and resilience of these complex urban ecosystems. The book aims to provide a technical understanding of UAV swarms and their applications within the context of smart cities.
It begins by laying the groundwork with an introduction to UAV swarms and smart cities, establishing the foundational concepts and motivations behind their integration. As the book progresses, it delves into various aspects of smart cities, exploring concepts, technologies, and challenges inherent in their development and operation. This includes discussions on cloud computing, cybersecurity, machine learning applications, surveillance and monitoring systems, urban planning, and infrastructure management. It also examines the integration of IoT devices with UAV swarms, highlighting the synergies between these emerging technologies and their potential impact on urban environments.
The book examines cutting-edge topics such as edge computing, blockchain applications, 5G integration, and augmented reality/virtual reality (AR/VR) visualization techniques in the context of UAV swarm operations. It concludes with reflections on innovations and future directions, offering insights into the evolving landscape of UAV swarm technologies and their implications for the protection and advancement of smart cities.
The book serves as a comprehensive guide for researchers, practitioners, and policymakers interested in understanding the technical, social, and economic dimensions of UAV swarm technology within the context of smart city development and management.
What You Will Learn
Identify practical applications of UAV swarms in surveillance monitoring, urban planning, disaster management, and infrastructure resilience
Gain comprehensive understanding of UAV swarms by exploring diverse disciplines
Apply insights from emerging technologies like cloud computing, machine learning, blockchain, IoT devices, and so on to UAV swarm technology
Who Is This Book For
This book appeals to a wide range of readers with different interests and backgrounds, including researchers, policymakers, industry stakeholders, practitioners, experts, and general fans who are curious in the confluence of smart cities with UAV swarm technologies with little to no experience or knowledge of UAV swarms.
商品描述(中文翻譯)
探索無人機（UAV）與智慧城市不斷演變的交集。隨著科技日益融入城市環境，了解無人機群如何為這些複雜的城市生態系統的安全性、效率和韌性做出貢獻的需求日益增加。本書旨在提供對無人機群及其在智慧城市背景下應用的技術理解。
本書首先介紹無人機群和智慧城市，建立其整合背後的基本概念和動機。隨著書籍的進展，將深入探討智慧城市的各個方面，探索其發展和運營中固有的概念、技術和挑戰。這包括對雲計算、網絡安全、機器學習應用、監控系統、城市規劃和基礎設施管理的討論。它還檢視物聯網（IoT）設備與無人機群的整合，突顯這些新興技術之間的協同效應及其對城市環境的潛在影響。
本書探討前沿主題，如邊緣計算、區塊鏈應用、5G整合以及增強現實/虛擬現實（AR/VR）可視化技術在無人機群操作中的應用。最後，書中對創新和未來方向進行反思，提供對無人機群技術不斷演變的見解及其對智慧城市保護和發展的影響。
本書是研究人員、實務工作者和政策制定者的綜合指南，旨在幫助他們理解無人機群技術在智慧城市發展和管理中的技術、社會和經濟層面。
你將學到什麼
識別無人機群在監控、城市規劃、災害管理和基礎設施韌性方面的實際應用
通過探索多樣的學科，獲得對無人機群的全面理解
將雲計算、機器學習、區塊鏈、物聯網設備等新興技術的見解應用於無人機群技術
這本書適合誰
本書吸引了各種不同興趣和背景的讀者，包括研究人員、政策制定者、行業利益相關者、實務工作者、專家以及對智慧城市與無人機群技術交匯感到好奇的普通讀者，無論他們對無人機群的經驗或知識如何。
作者簡介
Oroos Arshi is a Research Scientist at AI-EYS and was awarded the Young Researcher award at the International Conference on Emerging Trends and Innovations (ICETI) 2024 held in Pakistan. She is a dedicated Research Scholar at the University of Petroleum and Energy Studies in Dehradun, India. She was the speaker at the International Conference on Emerging Trends and Innovations held in Pakistan. She has contributed significantly to the technological discourse with some Scopus, SCI, and a noteworthy publication with Springer. Since then, Oroos has embarked on an intricate exploration of diverse technological realms, displaying a profound interest in the Natural Processing Language (NLP), Computer Vision, Internet of Things (IoT), Artificial Intelligence (AI), Cybersecurity, and Cloud Computing.
Dr. Inam Ullah Khan is the Founder of AI-EYS. He was a visiting researcher at King's College London, UK and was a faculty member at different universities in Pakistan including the Center for Emerging Sciences Engineering & Technology (CESET), Islamabad, Abdul Wali Khan University, Garden Campus, Timergara Campus, University of Swat & Shaheed Zulfikar Ali Bhutto Institute of Science and Technology (SZABIST), Islamabad Campus. He has authored/co-authored more than 30 research articles in reputable journals, conferences, and book chapters. His research interests include Network System Security, Intrusion Detection, Intrusion Prevention, cryptography, Optimisation techniques, WSN, IoT, Mobile Ad Hoc Networks (MANETS), Flying Ad Hoc Networks, and Machine Learning. He was a technical program committee member at an international workshop on intelligent systems for sustainable smart cities, New Delhi, India, February 19-20, 2022.
Keshav Kaushik is an experienced educator with around ten years of teaching and research experience in Cybersecurity, Digital Forensics, and the Internet of Things. He is working as an Assistant Professor (Senior Scale) in the systemic cluster under the School of Computer Science at the University of Petroleum and Energy Studies, Dehradun, India. He has published 100+ research papers in International Journals and has presented at reputed International Conferences. Currently, he is also serving as à Vice Chairperson of the Meerut ACM Professional Chapter and is also a brand ambassador for Bentham Science.
Nadeem Iqbal (Senior Member IEEE) received a Ph.D. degree in bio and brain engineering from the Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea, in 2013. He has completed a Fulbright Fellowship at St. John's University in New York, USA. Dr. Iqbal was a postdoctoral fellow at the School of Mechanical Engineering, University of Leeds, UK. He is currently working as an Associate Professor with the Department of Computer Science, Abdul Wali Khan University Mardan, Pakistan. His research interests include biological information processing mechanisms in the brain, Natural Language Processing, the Internet of Things, and Pattern recognition.
Inam Ullah received a B.Sc. degree in Electrical Engineering (Telecommunication) from the Department of Electrical Engineering, University of Science and Technology Bannu (USTB), KPK, Pakistan, in 2016 and a Master's and Ph.D. degree in Information and Communication Engineering from the College of Internet of Things (IoT) Engineering, Hohai University (HHU), China, in 2018 and 2022, respectively. He is currently an Assistant Professor at the Department of Computer Engineering, Gachon University, S Korea. His research interests include Robotics, Internet of Things (IoT), Wireless Sensor Networks (WSNs), Underwater Communication and Localization, Underwater Sensor Networks (USNs), Artificial Intelligence (AI), Big data, Deep learning, etc. He has authored more than 70 peer-reviewed articles on various research topics.
Dr. Khadija Slimani completed her PhD, which was jointly supervised by the University of Ibn Tofail in Morocco and the University of Technology of Belfort Montbeliard (UTBM) in France. This collaborative international effort showcased her commitment to academic excellence and cross-cultural research. For her doctoral studies, Dr. Slimani delved into the realms of machine learning, deep learning, pattern recognition, and computer vision, with a specific focus on academic emotion recognition. This interdisciplinary approach, spanning both Moroccan and French academic environments, enriched her research experience and contributed to the global perspective of her work. Dr. Slimani's academic contributions extended to various engineering schools in Paris, France, where she took on teaching responsibilities across multiple modules, including data science, deep learning, machine learning, data bases, and computer vision. She currently holds the title of Associate Professor at the Graduate School of Automatic Electronic Computing in Paris, France. Through her diverse roles, Dr. Slimani consistently inspires and contributes to shaping the next generation of researchers.
作者簡介(中文翻譯)
Oroos Arshi 是 AI-EYS 的研究科學家，並於 2024 年在巴基斯坦舉行的國際新興趨勢與創新會議 (ICETI) 獲得青年研究者獎。她是印度德拉敦石油與能源研究大學的專注研究學者。她曾在巴基斯坦舉行的國際新興趨勢與創新會議上擔任演講者。她在技術討論中做出了重要貢獻，發表了多篇 Scopus、SCI 期刊文章，以及與 Springer 的一篇重要出版物。自那時起，Oroos 開始深入探索多樣的技術領域，對自然語言處理 (NLP)、計算機視覺、物聯網 (IoT)、人工智慧 (AI)、網路安全和雲計算表現出深厚的興趣。
Inam Ullah Khan 博士是 AI-EYS 的創始人。他曾在英國倫敦國王學院擔任訪問研究員，並在巴基斯坦的多所大學擔任教職，包括伊斯蘭堡的新興科學工程與技術中心 (CESET)、阿卜杜勒·瓦利·汗大學、Timergara 校區、斯瓦特大學及伊斯蘭堡的沙希德·祖爾菲卡爾·阿里·布托科學與技術研究所 (SZABIST)。他在知名期刊、會議和書籍章節中發表了超過 30 篇研究文章。他的研究興趣包括網路系統安全、入侵檢測、入侵防護、密碼學、優化技術、無線感測網路 (WSN)、物聯網 (IoT)、移動自組網 (MANETS)、飛行自組網和機器學習。他曾擔任 2022 年 2 月 19-20 日在印度新德里舉行的可持續智慧城市智能系統國際研討會的技術程序委員會成員。
Keshav Kaushik 是一位經驗豐富的教育工作者，擁有約十年的網路安全、數位取證和物聯網教學及研究經驗。他目前在印度德拉敦的石油與能源研究大學計算機科學學院的系統集群擔任助理教授（高級職級）。他在國際期刊上發表了超過 100 篇研究論文，並在知名國際會議上發表演講。目前，他還擔任 Meerut ACM 專業分會的副主席，並是 Bentham Science 的品牌大使。
Nadeem Iqbal（IEEE 高級會員）於 2013 年在韓國大田的韓國科學技術院 (KAIST) 獲得生物與大腦工程的博士學位。他在美國紐約的聖約翰大學完成了富布萊特獎學金。Iqbal 博士曾在英國利茲大學的機械工程學院擔任博士後研究員。他目前在巴基斯坦阿卜杜勒·瓦利·汗大學計算機科學系擔任副教授。他的研究興趣包括大腦中的生物信息處理機制、自然語言處理、物聯網和模式識別。
Inam Ullah 於 2016 年在巴基斯坦 KPK 的班努科技大學 (USTB) 獲得電機工程（電信）學士學位，並於 2018 年和 2022 年在中國河海大學 (HHU) 獲得信息與通信工程的碩士和博士學位。他目前是韓國 Gachon 大學計算機工程系的助理教授。他的研究興趣包括機器人技術、物聯網 (IoT)、無線感測網路 (WSNs)、水下通信與定位、水下感測網路 (USNs)、人工智慧 (AI)、大數據、深度學習等。他在各種研究主題上發表了超過 70 篇同行評審的文章。
