Society 5.0: A Transformation Towards Human-Centered Artificial Intelligence
暫譯: 社會5.0:邁向以人為本的人工智慧轉型

Acharya, Biswaranjan, Shukla, Madhu, Chowdhury, Chandreyee

  • 出版商: CRC
  • 出版日期: 2025-08-11
  • 售價: $5,700
  • 貴賓價: 9.5$5,415
  • 語言: 英文
  • 頁數: 296
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032667591
  • ISBN-13: 9781032667591
  • 相關分類: 人工智慧物聯網 IoT
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

The book will help the readers in the field of the Internet of Things, and especially its convergence with artificial intelligence, which has given rise to the new paradigm of artificial intelligence of things (AIoT). It covers important concepts such as intelligent space and human-centered robotics and its effect on human wellbeing, and human-centered aviation automation.

This book:

  • Supports the advancement in artificial intelligence and the Internet of Things used in societal applications.
  • Discusses the role of modeling human factors in designing smart systems as highlighted in Industry 4.0.
  • Covers big data scheduling and the global standard method applied to smart maintenance.
  • Presents human-centered aviation automation, human-centered processes, and decision support systems.
  • Highlights the importance of data privacy and secure communication in society 5.0.

The text is primarily written for senior undergraduate, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.

商品描述(中文翻譯)

這本書將幫助讀者了解物聯網領域,特別是其與人工智慧的融合,這種融合催生了人工智慧物品(AIoT)的新範式。書中涵蓋了重要概念,如智慧空間和以人為中心的機器人技術及其對人類福祉的影響,以及以人為中心的航空自動化。

本書:
- 支持在社會應用中使用的人工智慧和物聯網的進步。
- 討論在設計智慧系統中建模人因的角色,這在工業4.0中得到了強調。
- 涵蓋大數據排程和應用於智慧維護的全球標準方法。
- 介紹以人為中心的航空自動化、以人為中心的流程和決策支持系統。
- 強調在社會5.0中數據隱私和安全通信的重要性。

本書主要針對高年級本科生、研究生以及來自不同領域的學術研究者,包括電機工程、電子與通信工程、計算機科學與工程以及資訊科技。

作者簡介

Biswaranjan Acharya (Senior Member, IEEE) received his M.Tech. degree in Computer Science and Engineering from Biju Patnaik University of Technology (BPUT), Rourkela, Odisha, India, in 2012, and a Ph.D. in Computer Science from Veer Surendra Sai University of Technology (VSSUT), Burla, Odisha, India, in 2024. He is currently an Assistant Professor in the Department of Computer Engineering-AI and BDA at Marwadi University, Gujarat, India. He also received a research fellowship at INTI International University from December 15, 2023, to December 31, 2025. He has more than ten years of academic experience at reputed institutions such as Ravenshaw University and has also worked in the software development industry. He has co-authored more than 85 research articles in internationally reputed journals, 10 edited books and serves as a reviewer for several peer-reviewed journals. Additionally, he holds more than 50 patents. His research interests include multiprocessor scheduling, data analytics, computer vision, machine learning, and the Internet of Things (IoT). He is currently serving as a secondary IEEE Computer Society representative to the IEEE Nanotechnology Council (NTC) Administrative Committee and as an observer of the IEEE P2851 Standard for Functional Safety Data Format. He is also associated with various educational and research societies, including IACSIT, CSI, IAENG, and ISC.

Madhu Shukla received her Ph.D. in Computer Engineering from RK University, Rajkot, India, in 2019. She is currently the Head of the Department of Computer Engineering--AI and Data Science Programs (UG and PG) at Marwadi University, Rajkot, India. With over 15 years of academic and administrative experience, she has made significant contributions to research, teaching, and curriculum development. Her research interests include machine learning, artificial intelligence, data stream clustering, and privacy-preserving algorithms in cloud environments. She has published extensively in Scopus and SCI-indexed journals, covering topics such as AI in healthcare, explainable deep learning, and clustering algorithms. She has also chaired sessions at prestigious conferences and served on the technical program committees of several international events. Dr. Shukla is actively involved in mentoring Ph.D. scholars and has guided over 150 undergraduate projects. Her accolades include being recognized as a Certified Trainer by Oracle and receiving awards for excellence in teaching and research contributions.

Chandreyee Chowdhury is a professor in the department of Computer Science and Engineering at Jadavpur University, India. She received her Ph. D degree in 2013 from the university. Her research interests include machine learning, indoor localization, and human activity recognition. She was awarded Post Doctoral Fellowship by Erasmus Mundus in 2014 to carry out research work at Northumbria University, UK. She has published more than 130 research papers that contains more than 40 SCI-indexed journals including Q1 journals with above 10 impact factors. She was granted 2 software copyrights and 2 patents. She has successfully guided 5 Ph. D scholars. She has undertaken DST sponsored research project on Indoor Localization and currently working on a localization project funded by ISRO. She is a member of IEEE and IEEE Computer Society.

Harish Garg working as an Associate Professor at Thapar Institute of Engineering & Technology, Patiala, Punjab, India. He is ranked in the World's Top 2% Scientist List and India Rank #1 & World Rank #163 published by Stanford University in the consecutive five years 2020-2024. He received the Most Outstanding Researcher award in the field of Mathematics from Carrer 360 Academy. He is also the recipient of the International Obada-Prize 2022 - Young Distinguished Researchers. He is also the recipient of the Top-Cited paper by an India-based author (2015 - 2019) from Elsevier Publisher. He also serves as an advisory board member of the Universal Scientific Education and Research Network (USERN). He is the Research Fellow of INTI International University, Malaysia. Dr. Garg's research interests include Computational Intelligence, Multi-criteria decision making, Evolutionary algorithms, Reliability analysis, Expert systems and decision support systems, Computing with words and Soft Computing. He has authored more than 530 papers (over 510 are SCI) published in refereed International Journals. His Google citations are over 27600 with H-index- 92. He is one of the leading researchers in the world related to the MCDM and soft computing approaches. Dr. Garg also serves on editorial boards of several leading international journals, this includes the Founding Editor-in-Chief of the Journal of Computational and Cognitive Engineering. He is also the Associate Editor of Alexandria Engineering Journal, Journal of Industrial & Management Optimization, Machine Intelligence Research, CAAI Transactions on Intelligence Technology, etc.

作者簡介(中文翻譯)

Biswaranjan Acharya(IEEE 高級會員)於 2012 年在印度奧里薩邦的 Biju Patnaik 技術大學(BPUT)獲得計算機科學與工程的碩士學位,並於 2024 年在 Veer Surendra Sai 技術大學(VSSUT)獲得計算機科學的博士學位。他目前是印度古吉拉特邦 Marwadi 大學計算機工程-人工智慧與大數據分析系的助理教授。他還於 2023 年 12 月 15 日至 2025 年 12 月 31 日期間獲得 INTI 國際大學的研究獎學金。他在 Ravenshaw 大學等知名機構擁有超過十年的學術經驗,並曾在軟體開發行業工作。他共同撰寫了超過 85 篇國際知名期刊的研究文章,編輯了 10 本書籍,並擔任多個同行評審期刊的審稿人。此外,他擁有超過 50 項專利。他的研究興趣包括多處理器排程、數據分析、計算機視覺、機器學習和物聯網(IoT)。他目前擔任 IEEE 計算機學會的次要代表,參與 IEEE 奈米技術委員會(NTC)行政委員會,並作為 IEEE P2851 功能安全數據格式標準的觀察員。他還與多個教育和研究社團有關聯,包括 IACSIT、CSI、IAENG 和 ISC。

Madhu Shukla 於 2019 年在印度拉傑科特的 RK 大學獲得計算機工程的博士學位。她目前是印度拉傑科特的 Marwadi 大學計算機工程系--人工智慧與數據科學(本科及研究生)項目的系主任。擁有超過 15 年的學術和行政經驗,她在研究、教學和課程開發方面做出了重要貢獻。她的研究興趣包括機器學習、人工智慧、數據流聚類和雲環境中的隱私保護算法。她在 Scopus 和 SCI 索引的期刊上發表了大量文章,涵蓋了醫療保健中的 AI、可解釋的深度學習和聚類算法等主題。她還在多個知名會議上擔任會議主席,並在幾個國際活動的技術程序委員會中任職。Shukla 博士積極參與指導博士生,並已指導超過 150 個本科項目。她的榮譽包括被 Oracle 認證為培訓師,以及因教學和研究貢獻而獲得的卓越獎。

Chandreyee Chowdhury 是印度 Jadavpur 大學計算機科學與工程系的教授。她於 2013 年獲得博士學位。她的研究興趣包括機器學習、室內定位和人類活動識別。她於 2014 年獲得 Erasmus Mundus 的博士後獎學金,在英國的 Northumbria 大學進行研究工作。她已發表超過 130 篇研究論文,其中包括超過 40 篇 SCI 索引的期刊文章,包括影響因子超過 10 的 Q1 期刊。她獲得了 2 項軟體著作權和 2 項專利。她成功指導了 5 位博士生。她承擔了由 DST 贊助的室內定位研究項目,並目前正在進行由 ISRO 資助的定位項目。她是 IEEE 和 IEEE 計算機學會的成員。

Harish Garg 擔任印度旁遮普邦 Thapar 工程與技術學院的副教授。他在 2020-2024 年連續五年被史丹佛大學列入全球前 2% 科學家名單,並在印度排名第 1,全球排名第 163。他獲得了 Carrer 360 學院頒發的數學領域最傑出研究者獎。他還是 2022 年國際 Obada 獎 - 年輕傑出研究者的獲得者。他還獲得了 Elsevier 出版社頒發的印度作者的高引用論文獎(2015 - 2019)。他還擔任全球科學教育與研究網絡(USERN)的顧問委員會成員。他是馬來西亞 INTI 國際大學的研究員。Garg 博士的研究興趣包括計算智能、多準則決策、演化算法、可靠性分析、專家系統和決策支持系統、用詞計算和軟計算。他已在國際期刊上發表了超過 530 篇論文(超過 510 篇為 SCI),其 Google 引用次數超過 27600,H 指數為 92。他是與多準則決策(MCDM)和軟計算方法相關的世界領先研究者之一。Garg 博士還擔任多個國際期刊的編輯委員會成員,包括《計算與認知工程期刊》的創始主編。他還是《亞歷山大工程期刊》、《工業與管理優化期刊》、《機器智能研究》、《CAAI 智能技術交易》等的副編輯。