IoT and Big Data Analytics for Smart Cities: A Global Perspective
暫譯: 智慧城市的物聯網與大數據分析：全球視角
Rajendran, Sathiyaraj, Sabharwal, Munish, Ghinea, Gheorghita
- 出版商: CRC
- 出版日期: 2022-12-01
- 售價: $4,910
- 貴賓價: 9.5 折 $4,665
- 語言: 英文
- 頁數: 202
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 103210855X
- ISBN-13: 9781032108551
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相關分類:
大數據 Big-data、物聯網 IoT、Data Science
海外代購書籍(需單獨結帳)
商品描述
The book IoT and Big Data Analytics (IoT-BDA) for Smart Cities - A Global Perspective, emphasizes
the challenges, architectural models, and intelligent frameworks with smart decisionmaking
systems using Big Data and IoT with case studies. The book illustrates the benefits
of Big Data and IoT methods in framing smart systems for smart applications. The text is
a coordinated amalgamation of research contributions and industrial applications in the
field of smart cities.
Features:
- Provides the necessity of convergence of Big Data Analytics and IoT techniques in
smart city application.
- Challenges and Roles of IoT and Big Data in Smart City applications.
- Provides Big Data-IoT intelligent smart systems in a global perspective.
- Provides a predictive framework that can handle the traffic on abnormal days,
such as weekends and festival holidays.
- Gives various solutions and ideas for smart traffic development in smart cities.
- Gives a brief idea of the available algorithms/techniques of Big Data and IoT and
guides in developing a solution for smart city applications.
This book is primarily aimed at IT professionals. Undergraduates, graduates, and researchers
in the area of computer science and information technology will also find this book
useful.
商品描述(中文翻譯)
本書《IoT 與大數據分析 (IoT-BDA) 於智慧城市 - 全球視角》強調了使用大數據和物聯網 (IoT) 的智慧決策系統所面臨的挑戰、架構模型和智能框架，並提供了案例研究。該書說明了大數據和物聯網方法在構建智慧應用的智慧系統中的好處。文本是對智慧城市領域的研究貢獻和產業應用的協調融合。
特色：
- 提供大數據分析與物聯網技術在智慧城市應用中融合的必要性。
- 探討物聯網和大數據在智慧城市應用中的挑戰與角色。
- 提供全球視角下的大數據-物聯網智能智慧系統。
- 提供一個預測框架，能夠處理異常日的交通，例如週末和節假日。
- 提供智慧城市中智慧交通發展的各種解決方案和想法。
- 簡要介紹可用的大數據和物聯網算法/技術，並指導開發智慧城市應用的解決方案。
本書主要針對 IT 專業人士。計算機科學和資訊技術領域的本科生、研究生和研究人員也會發現本書的實用性。
作者簡介
Dr. Sathiyaraj Rajendran is an assistant professor in the School of Engineering &
Technology at the CMR University, Bangalore. He completed his PhD at Anna University,
Chennai. His research interests lie in the area of Big Data Analytics, AI, and IoT. He has
collaborated actively with researchers in several other disciplines of computer science,
particularly traffic prediction systems and intelligent systems. He has authored more
than 25 publications and filed 5 patents.
Dr. Munish Sabharwal is professor and dean, School of Computing Science & Engineering,
Galgotias University, Greater Noida (UP), India. He is also an adjunct professor, Faculty
of Applied Mathematics and IT-Samarkand State University, Samarkand, Uzbekistan.
He earned a PhD (Computer Science S) and PhD (Management) and also has a PGDM
(International Trade) from Symbiosis Institute of Management Studies, Pune; an
M.Tech (Computer Science) from IASE University, Sardarshahr; and a B.E. (Computer
Technology) from Nagpur University, Nagpur. He is also MCSD and MCP Certified.
He has contributed over 21 years to teaching (CS and MIS), education management in
leadership roles, research, as well as software development. He has more than ten years
of research experience, has published more than 55+ research papers in conferences and
journals indexed in SCI, ESCI, Scopus, etc. He is a board member as well as reviewer for
a number of leading indexed research journals and has three books to his credit. He is
guiding seven PhD Scholars and his current research interests include Data Sciences (AI
& ML), Biometrics and E-Banking.
Dr. Gheorghita Ghinea is a professor of computing, Department of Computer Science
Brunel University London. He holds a PhD in Computer Science from the University
of Reading, United Kingdom. His research activities lie at the confluence of Computer
Science, Media and Psychology and he is particularly interested in building semantically
underpinned human-centred e-systems, particularly integrating human perceptual
requirements. Currently, he is supervising a team of six PhD students. He has supervised
a total of 23 PhD students to completion (as first supervisor), who have gone on to enjoy
rewarding careers in academia or industry. He has published more than 30 articles and
received 10+ research grants.
Dr. Rajesh Kumar Dhanaraj is an associate professor in the School of Computing Science
and Engineering at Galgotias University, Greater Noida, India. He earned a PhD in
Information and Communication Engineering from the Anna University Chennai,
India. He has contributed 20+ books on various technologies and 35+ articles and
papers in various refereed journals and international conferences and contributed
chapters to the books. His research interests include Machine Learning, Cyber-Physical
Systems and Wireless Sensor Networks. He is an Expert Advisory Panel Member of
Texas Instruments Inc., USA.
Dr. Balamurugan Balusamy earned a PhD in Computer Science and Engineering from
Vellore Institute of Technology (VIT) Vellore, Tamil Nadu. He also completed an ME in
Computer Science and Engineering and a BE in Computer Science and Engineering from
Anna University and Bharathidasan University respectively. Previously he was associated
with Galgotias University, Delhi NCR, in multiple capacities, holding roles such as
Director of International Affairs, Professor, and Associate Dean of Research, School of
Computing Science and Engineering. He served up to the position of associate professor
during his 12-year stint with VIT (Vellore) from 2005 to 2017. During this period, he
spearheaded and coordinated many student club activities and technical and cultural
fests for VIT. Currently, he is appointed to the advisory committee for several technology
start-ups and forums.
Dr. Balusamy promotes student engagement in co-curricular and research activities and
is keen to provide them an ecosystem for redefining their career goals. He designs and
implements activities for developing and overseeing programs that enable students
to realize their social and personal potential and integrate student life experiences at
Shiv Nadar University, Delhi NCR. In his current role at the University, he acts as a
liaison between the Office of Dean Academics and the Office of Students. He mentors
students with the twin aims of fulfilling their ambitions and helping them realize their
full potential.
作者簡介(中文翻譯)
Dr. Sathiyaraj Rajendran 是班加羅爾 CMR 大學工程與技術學院的助理教授。他在印度金奈的安娜大學完成了博士學位。他的研究興趣包括大數據分析、人工智慧 (AI) 和物聯網 (IoT)。他與計算機科學的其他多個學科的研究人員積極合作，特別是在交通預測系統和智能系統方面。他已發表超過 25 篇論文並申請了 5 項專利。
Dr. Munish Sabharwal 是印度大諾伊達 Galgotias 大學計算科學與工程學院的教授及院長。他同時也是烏茲別克斯坦薩馬爾罕國立大學應用數學與資訊技術學院的兼任教授。他獲得了計算機科學 (S) 和管理學的博士學位，並擁有來自印度浦那的 Symbiosis 管理研究所的國際貿易研究生文憑 (PGDM)；來自 IASE 大學的計算機科學碩士學位 (M.Tech)；以及來自那格浦爾大學的計算機技術學士學位 (B.E.)。他同時擁有 MCSD 和 MCP 認證。
他在教學 (計算機科學和管理資訊系統)、教育管理、研究以及軟體開發方面貢獻了超過 21 年的時間。他擁有超過十年的研究經驗，已在 SCI、ESCI、Scopus 等索引的會議和期刊上發表了超過 55 篇研究論文。他是多本領先索引研究期刊的編委及審稿人，並擁有三本著作。他目前指導七位博士生，研究興趣包括數據科學 (AI 和機器學習)、生物識別技術和電子銀行。
Dr. Gheorghita Ghinea 是倫敦布魯內爾大學計算機科學系的教授。他擁有英國雷丁大學的計算機科學博士學位。他的研究活動位於計算機科學、媒體和心理學的交匯處，特別關注構建以人為中心的電子系統，並整合人類感知需求。目前，他正在指導六位博士生。他已成功指導 23 位博士生完成學業（作為第一指導教授），這些學生在學術界或行業中都取得了豐碩的職業生涯。他已發表超過 30 篇文章並獲得 10 份以上的研究資助。
Dr. Rajesh Kumar Dhanaraj 是印度大諾伊達 Galgotias 大學計算科學與工程學院的副教授。他在印度金奈的安娜大學獲得了資訊與通信工程的博士學位。他在各種技術上貢獻了 20 本以上的書籍，以及在各種經過審核的期刊和國際會議上發表了 35 篇以上的文章和論文，並為書籍撰寫了章節。他的研究興趣包括機器學習、網絡物理系統和無線感測器網絡。他是美國德州儀器公司的專家諮詢小組成員。
Dr. Balamurugan Balusamy 在印度泰米爾納德邦的維洛爾科技學院 (VIT) 獲得計算機科學與工程的博士學位。他還在安娜大學和巴拉特迪薩大學分別完成了計算機科學與工程的碩士學位 (ME) 和學士學位 (BE)。他曾在德里 NCR 的 Galgotias 大學擔任多個職位，包括國際事務主任、教授和計算科學與工程學院的研究副院長。在 2005 年至 2017 年的 12 年任期內，他在 VIT 擔任副教授。在此期間，他主導並協調了許多學生社團活動以及 VIT 的技術和文化節。目前，他被任命為多個技術初創企業和論壇的諮詢委員會成員。
Dr. Balusamy 促進學生參與課外和研究活動，並熱衷於為他們提供重新定義職業目標的生態系統。他設計並實施活動，以發展和監督使學生能夠實現社會和個人潛力的計劃，並整合學生在德里 NCR 的 Shiv Nadar 大學的生活經驗。在他目前的角色中，他擔任學術院長辦公室與學生辦公室之間的聯絡人。他指導學生，旨在實現他們的抱負並幫助他們發揮其全部潛力。
