IoT and Big Data Analytics for Smart Cities: A Global Perspective

Rajendran, Sathiyaraj, Sabharwal, Munish, Ghinea, Gheorghita

  • 出版商: CRC
  • 出版日期: 2022-12-01
  • 售價: $4,760
  • 貴賓價: 9.5$4,522
  • 語言: 英文
  • 頁數: 202
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 103210855X
  • ISBN-13: 9781032108551
  • 相關分類: 大數據 Big-data物聯網 IoTData Science
  • 下單後立即進貨 (約2~4週)

相關主題

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)

這本書《物聯網和大數據分析(IoT-BDA)對智慧城市的全球觀點》強調了使用大數據和物聯網的智能決策系統的挑戰、架構模型和智能框架,並通過案例研究展示了它們的好處。該書展示了在智慧應用中構建智能系統的大數據和物聯網方法。這本書是智慧城市領域研究貢獻和工業應用的協調結合。

特點:
- 提供了在智慧城市應用中結合大數據分析和物聯網技術的必要性。
- 探討了物聯網和大數據在智慧城市應用中的挑戰和角色。
- 提供了全球視角下的大數據-物聯網智能智慧系統。
- 提供了一個預測框架,可以應對異常日(如週末和節假日)的交通問題。
- 提供了智慧城市智能交通發展的各種解決方案和思路。
- 簡要介紹了大數據和物聯網的可用算法/技術,並指導開發智慧城市應用的解決方案。

這本書主要針對IT專業人士。本科生、研究生和計算機科學和信息技術領域的研究人員也會發現這本書很有用。

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是印度班加羅爾CMR大學工程與技術學院的助理教授。他在印度安娜大學取得博士學位,研究興趣包括大數據分析、人工智慧和物聯網。他積極與計算機科學的其他領域的研究人員合作,尤其是交通預測系統和智能系統。他已經發表了超過25篇論文並申請了5項專利。

Dr. Munish Sabharwal是印度加爾各答大學計算科學與工程學院的教授和院長。他還是烏茲別克斯坦薩馬爾罕州立大學應用數學和IT學院的兼職教授。他擁有計算機科學和管理學的博士學位,以及Symbiosis管理研究所的國際貿易碩士學位、IASE大學的計算機科學碩士學位和Nagpur大學的計算機技術學士學位。他還擁有MCSD和MCP認證。他在教學、教育管理、研究和軟件開發方面貢獻了超過21年的時間。他擁有超過10年的研究經驗,發表了55多篇在SCI、ESCI、Scopus等會議和期刊中被索引的研究論文。他是多個領先的索引研究期刊的編委和審稿人,並出版了三本書。他指導了七名博士研究生,目前的研究興趣包括數據科學(人工智慧和機器學習)、生物特徵和電子銀行。

Dr. Gheorghita Ghinea是倫敦布魯內爾大學計算機科學系的教授。他在英國雷丁大學獲得計算機科學博士學位。他的研究活動涉及計算機科學、媒體和心理學的交叉領域,尤其關注建立基於語義的以人為中心的電子系統,特別是整合人類感知需求。他目前指導著六名博士研究生。他作為第一導師指導了總共23名博士研究生,他們在學術界或工業界都有成功的職業生涯。他發表了30多篇文章,並獲得了10多項研究資助。

Dr. Rajesh Kumar Dhanaraj是印度加爾各答大學計算科學與工程學院的副教授。他在印度安娜大學取得信息與通信工程博士學位。他在各種技術領域貢獻了20多本書和35多篇文章和論文,並為書籍撰寫了章節。他的研究興趣包括機器學習、物聯網和無線傳感器網絡。他是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Vellore理工學院獲得計算機科學和工程博士學位。他還在安娜大學和巴拉蒂達桑大學分別獲得計算機科學和工程碩士學位和學士學位。他曾在加爾各答大學擔任多個職位,包括國際事務主任、教授和研究副院長。他在2005年至2017年的12年間在VIT(Vellore)擔任副教授,期間他領導和協調了許多學生俱樂部活動、技術和文化節。目前,他是六名博士研究生的指導教師。