Enabling Technologies for Effective Planning and Management in Sustainable Smart Cities

Ahad, Mohd Abdul, Casalino, Gabriella, Bhushan, Bharat

Enabling Technologies for Effective Planning and Management in Sustainable Smart Cities
  • 出版商: Springer
  • 出版日期: 2024-03-03
  • 售價: $7,050
  • 貴賓價: 9.5 折 $6,698
  • 語言: 英文
  • 頁數: 402
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 303122924X
  • ISBN-13: 9783031229244

    • 海外代購書籍(需單獨結帳)

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商品描述

With the rapid penetration of technology in varied application domains, the existing cities are getting connected more seamlessly. Cities becomes smart by inducing ICT in the classical city infrastructure for its management. According to McKenzie Report, about 68% of the world population will migrate towards urban settlements in near future. This migration is largely because of the improved Quality of Life (QoL) and livelihood in urban settlements. In the light of urbanization, climate change, democratic flaws, and rising urban welfare expenditures, smart cities have emerged as an important approach for society's future development. Smart cities have achieved enhanced QoL by giving smart information to people regarding healthcare, transportation, smart parking, smart traffic structure, smart home, smart agronomy, community security etc. Typically, in smart cities data is sensed by the sensor devices and provided to end users for further use. The sensitive data is transferredwith the help of internet creating higher chances for the adversaries to breach the data. Considering the privacy and security as the area of prime focus, this book covers the most prominent security vulnerabilities associated with varied application areas like healthcare, manufacturing, transportation, education and agriculture etc. Furthermore, the massive amount of data being generated through ubiquitous sensors placed across the smart cities needs to be handled in an effective, efficient, secured and privacy preserved manner. Since a typical smart city ecosystem is data driven, it is imperative to manage this data in an optimal manner. Enabling technologies like Internet of Things (IoT), Natural Language Processing (NLP), Blockchain Technology, Deep Learning, Machine Learning, Computer vision, Big Data Analytics, Next Generation Networks and Software Defined Networks (SDN) provide exemplary benefits if they are integrated in the classical city ecosystem in an effective manner. The application of Artificial Intelligence (AI) is expanding across many domains in the smart city, such as infrastructure, transportation, environmental protection, power and energy, privacy and security, governance, data management, healthcare, and more. AI has the potential to improve human health, prosperity, and happiness by reducing our reliance on manual labor and accelerating our progress in the sciences and technologies. NLP is an extensive domain of AI and is used in collaboration with machine learning and deep learning algorithms for clinical informatics and data processing. In modern smart cities, blockchain provides a complete framework that controls the city operations and ensures that they are managed as effectively as possible. Besides having an impact on our daily lives, it also facilitates many areas of city management.

商品描述(中文翻譯)

隨著科技在各種應用領域的快速滲透，現有城市之間的連結變得更加無縫。城市透過在傳統城市基礎設施中引入資訊與通信技術（ICT）來實現智慧化管理。根據麥肯錫報告，未來約68%的人口將遷移至城市定居點。這一遷移主要是因為城市定居點的生活品質（QoL）和生計有所改善。在城市化、氣候變遷、民主缺陷以及日益上升的城市福利支出背景下，智慧城市已成為社會未來發展的重要途徑。智慧城市透過提供有關醫療保健、交通、智慧停車、智慧交通結構、智慧家居、智慧農業、社區安全等的智能資訊，實現了生活品質的提升。通常，在智慧城市中，數據由感測器設備感知並提供給最終用戶進一步使用。敏感數據透過互聯網傳輸，這增加了對手入侵數據的可能性。考慮到隱私和安全作為主要焦點，本書涵蓋了與醫療保健、製造、交通、教育和農業等多個應用領域相關的最突出安全漏洞。此外，透過遍布智慧城市的無處不在的感測器生成的大量數據需要以有效、高效、安全且保護隱私的方式進行處理。由於典型的智慧城市生態系統是數據驅動的，因此以最佳方式管理這些數據至關重要。物聯網（IoT）、自然語言處理（NLP）、區塊鏈技術、深度學習、機器學習、計算機視覺、大數據分析、下一代網絡和軟體定義網絡（SDN）等啟用技術，如果能有效整合進傳統城市生態系統，將提供卓越的好處。人工智慧（AI）的應用正在智慧城市的許多領域擴展，例如基礎設施、交通、環境保護、能源與電力、隱私與安全、治理、數據管理、醫療保健等。AI有潛力通過減少我們對人工勞動的依賴，並加速我們在科學和技術方面的進步，來改善人類的健康、繁榮和幸福。NLP是AI的一個廣泛領域，與機器學習和深度學習算法協作，用於臨床信息學和數據處理。在現代智慧城市中，區塊鏈提供了一個完整的框架，控制城市運營並確保其以最有效的方式進行管理。除了對我們日常生活產生影響外，它還促進了城市管理的許多領域。

作者簡介

Dr. Mohd Abdul Ahad is currently working in the Department of Computer Science and Engineering, School of Engineering Sciences and Technology, Jamia Hamdard, New Delhi, India. He has a rich experience of more than 14 years in the field of Computer Science and Engineering. He obtained his Ph.D. degree in the field of Big Data Architecture. His research areas include big data architecture, Distributed Computing, IoT, Sustainable Computing. He has published several research papers in various International Journals of repute in Q1 and Q2 categories. His cumulative Impact factor for the last three years is 49.8 (As per Clarivate/JCR). He has chaired several sessions in International Conferences of Springer, Elsevier etc. He is a Certified Microsoft Innovative Educator and a certified Google Educator. He is a life member of Indian Society of Technical Education (ISTE) as well as an active Senior Member of IEEE. Apart from that he is also on the review board of several prestigious journals like Journal of Networks and Computer Applications, Elsevier, Sustainable Cities and Society, Elsevier, Journal of Ambient Intelligence and Humanized Computing (JAIHC), Springer, Computers in Biology, Elsevier etc.

Dr. Gabriella Casalino is currently Assistant Professor at the CILab laboratory of the department of Informatics, University of Bari, working on machine learning techniques applied to Web Economy domain. This position has been funded by the Italian Ministry of Education, University and Research (MIUR) through the European funding project AIM (Attraction and International Mobility). Her research interests span in the field of Data Analysis. Her works cover different domains such as Text mining, Hyperspectral Imaging, eHealth, bioinformatic, anomaly detection, Educational Data Mining. She is currently woking on stream data mining algorithms. Gabriella Casalino has got the Ph.D. in Computer Science at the Doctoral School in Computer Science ofthe Department of Informatics, at University of Bari "A. Moro". She defended the thesis "Non-negative factorization methods for extracting semantically relevant features in Intelligent Data Analysis". She was awarded by the Italian Ministry of Education, University and Research (M.I.U.R.) with a grant covering the three-year period of her Ph.D. In 2008 she got a B.Sc. in Computer Science from the University of Bari, and in 2011 she got a M.Sc. in Computer Science from the same University.

Dr. Bharat Bhushan is an Assistant Professor of Department of Computer Science and Engineering (CSE) at School of Engineering and Technology, Sharda University, Greater Noida, India. He received his Undergraduate Degree (B-Tech in Computer Science and Engineering) with Distinction in 2012, received his Postgraduate Degree (M-Tech in Information Security) with Distinction in 2015 and Doctorate Degree (PhD Computer Science and Engineering) in 2021 from Birla Institute of Technology, Mesra, India. In the year 2021, Stanford University (USA) listed Dr. Bharat Bhushan in the top 2% scientists list. He earned numerous international certifications such as CCNA, MCTS, MCITP, RHCE and CCNP. He has published more than 150 research papers in various renowned International Conferences and SCI indexed journals including Journal of Network and Computer Applications (Elsevier), Wireless Networks (Springer), Wireless Personal Communications (Springer), Sustainable Cities and Society (Elsevier) and Emerging Transactions on Telecommunications (Wiley). He has contributed with more than 30 book chapters in various books and has edited 20 books from the most famed publishers like Elsevier, Springer, Wiley, IOP Press, IGI Global, and CRC Press. He has served as Keynote Speaker (resource person) in numerous reputed faculty development programs and international conferences held in different countries including India, Iraq, Morocco, China, Belgium and Bangladesh. He has served as a Reviewer/Editorial Board Member for several reputed international journals. In the past, he worked as an assistant professor at HMR Institute of Technology and Management, New Delhi and Network Engineer in HCL Infosystems Ltd., Noida. In addition to being the senior member of IEEE, he is also a member of numerous renowned bodies including IAENG, CSTA, SCIEI, IAE and UACEE.

作者簡介(中文翻譯)

Dr. Mohd Abdul Ahad 目前在印度新德里的 Jamia Hamdard 工程科學與技術學院計算機科學與工程系工作。他在計算機科學與工程領域擁有超過 14 年的豐富經驗。他獲得了大數據架構領域的博士學位。他的研究領域包括大數據架構、分散式計算、物聯網和可持續計算。他在多個國際知名的 Q1 和 Q2 類期刊上發表了多篇研究論文。他在過去三年的累積影響因子為 49.8（根據 Clarivate/JCR）。他曾在 Springer、Elsevier 等國際會議上擔任多個會議的主席。他是微軟創新教育者認證和谷歌教育者認證的持有者。他是印度技術教育學會（ISTE）的終身會員，也是 IEEE 的活躍高級會員。此外，他還擔任多個知名期刊的審稿委員，如 Journal of Networks and Computer Applications、Sustainable Cities and Society、Journal of Ambient Intelligence and Humanized Computing (JAIHC)、Computers in Biology 等。

Dr. Gabriella Casalino 目前是巴里大學資訊系 CILab 實驗室的助理教授，專注於應用於網路經濟領域的機器學習技術。這一職位由意大利教育、大学和研究部（MIUR）通過歐洲資助項目 AIM（吸引與國際流動性）提供資金。她的研究興趣涵蓋數據分析領域，涉及文本挖掘、高光譜成像、電子健康、生物信息學、異常檢測和教育數據挖掘等不同領域。她目前正在研究流數據挖掘算法。Gabriella Casalino 在巴里大學的資訊系博士學校獲得計算機科學博士學位，論文題目為「非負因子分解方法在智能數據分析中提取語義相關特徵」。她曾獲得意大利教育、大学和研究部（M.I.U.R.）的獎學金，涵蓋她博士學位的三年期間。2008 年，她在巴里大學獲得計算機科學學士學位，2011 年獲得同一所大學的計算機科學碩士學位。

Dr. Bharat Bhushan 是印度大諾伊達 Sharda University 工程與技術學院計算機科學與工程系的助理教授。他於 2012 年以優異成績獲得計算機科學與工程的本科學位（B-Tech），2015 年以優異成績獲得信息安全的碩士學位（M-Tech），並於 2021 年獲得計算機科學與工程的博士學位（PhD）於 Birla Institute of Technology, Mesra, India。2021 年，斯坦福大學（美國）將 Dr. Bharat Bhushan 列入前 2% 科學家名單。他獲得了多項國際認證，如 CCNA、MCTS、MCITP、RHCE 和 CCNP。他在多個知名國際會議和 SCI 索引期刊上發表了超過 150 篇研究論文，包括 Journal of Network and Computer Applications（Elsevier）、Wireless Networks（Springer）、Wireless Personal Communications（Springer）、Sustainable Cities and Society（Elsevier）和 Emerging Transactions on Telecommunications（Wiley）。他在多本書籍中貢獻了超過 30 篇書章，並編輯了 20 本來自知名出版社如 Elsevier、Springer、Wiley、IOP Press、IGI Global 和 CRC Press 的書籍。他曾在印度、伊拉克、摩洛哥、中國、比利時和孟加拉等國舉辦的多個著名教師發展計劃和國際會議上擔任主題演講者（資源人員）。他還擔任多個期刊的審稿人/編輯委員會成員。

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