Smart IoT for Sustainable Development
暫譯: 智慧物聯網與可持續發展
Subhedar, Mansi, Mahalle, Parikshit, Pawar, Pranav
商品描述
This book explores the role of the Internet of Things (IoT) in achieving sustainable development goals (SDGs). It provides a comprehensive overview of how IoT technologies enhance energy efficiency, promote clean energy, support environmental monitoring, and facilitate sustainable practices across various sectors. It features real-world case studies, explores key challenges and opportunities, and additionally discusses the integration of machine learning and 5G technology for sustainable development.
- Discussion on the fundamental technologies driving smart IoT-based sustainable development, including sensors, data acquisition, and cloud computing.
- Examination of various aspects of energy efficiency and optimization achieved through IoT, presentation of IoT solutions for monitoring, and managing environmental parameters.
- Exploration of the scope for integrating machine learning and 5G technologies with IoT for enhanced sustainable development.
- Analysis of the challenges and solutions related to data privacy and security in smart IoT systems.
- Inclusion of diverse real-world case studies demonstrating successful IoT applications in various sectors to achieve SDGs using smart IoT and related technologies.
This book is a valuable resource for researchers and practitioners interested in the role of the Internet of Things in achieving sustainable development goals.
商品描述(中文翻譯)
本書探討物聯網(IoT)在實現可持續發展目標(SDGs)中的角色。它提供了物聯網技術如何提升能源效率、促進清潔能源、支持環境監測以及在各個領域促進可持續實踐的全面概述。書中包含了真實案例研究,探討了關鍵挑戰和機會,並進一步討論了機器學習和5G技術在可持續發展中的整合。
- 討論推動基於智能物聯網的可持續發展的基本技術,包括傳感器、數據採集和雲計算。
- 檢視通過物聯網實現的能源效率和優化的各個方面,展示用於監測和管理環境參數的物聯網解決方案。
- 探索將機器學習和5G技術與物聯網整合以增強可持續發展的範疇。
- 分析智能物聯網系統中與數據隱私和安全相關的挑戰和解決方案。
- 包含多樣的真實案例研究,展示在各個領域成功應用物聯網以實現可持續發展目標的智能物聯網及相關技術。
本書是對於研究人員和實務工作者在物聯網實現可持續發展目標中的角色感興趣的寶貴資源。
作者簡介
Mansi Subhedar has completed BE (ETC), ME (Electronics Engineering), and Ph.D. in Electronics Engineering in 2019. She has more than 18 years of teaching experience. She is currently working as an Associate Professor and Head at the Department of Electronics and Computer Science at Pillai HOC College of Engineering and Technology, Rasayani, Navi Mumbai, Maharashtra. She has published 49 papers in peer-reviewed international journals and conferences. She is also a reviewer for several international journals and conferences of repute. She was a reviewer and technical committee member of 19 Scopus international conferences. She has received a research grant for three projects from the University of Mumbai and has filed 4 patents. She is a life member of ISTE, IEI, and CSI, a fellow IETE, and a senior member of IEEE. She has been an evaluator and mentor for various state and national-level project competitions, like SIH, Avishkar, Hackathon etc. She is approved PG and PhD Guide in Electronics and Telecommunication Engineering at the University of Mumbai. 12 students have completed ME in Electronics and Telecommunication Engineering under her guidance. Her research interests include Internet of Things, Telecommunication networks, Industry 4.0, and Machine learning. She has received 1179 Google Scholar citations with an h index 12 and i10 index 12. She has delivered several talks and hands-on sessions on research paper writing, IoT, Telecommunication networks, Machine learning and Python. She has several NPTEL, Coursera and Edx certifications in machine learning, high performance computing, Industrial IoT, and Wireless technologies.
Dr. Parikshit Mahalle is a senior IEEE member and currently serves as Professor and Dean of Research and Development at Vishwakarma Institute of Technology, Pune, India. Previously, he held roles such as Dean of Research and Development and Head of the Department of Artificial Intelligence and Data Science at Vishwakarma Institute of Information Technology, Pune, and Head of Computer Engineering at Sinhgad Institutes. He earned his Ph.D. from Aalborg University, Denmark, in 2013 and completed postdoctoral research at CMI, Copenhagen, Denmark. With 25 years of teaching and research experience, he has guided 8 Ph.D. students in IoT and machine learning, with 7 successfully defending their theses, and mentored 2 postdoctoral researchers from NTU, Taiwan. Dr. Mahalle has an impressive academic portfolio, including 52 patents, over 400 research publications (Google Scholar citations: 4000+, H-index: 28; Scopus citations: 2000+, H-index: 21), and 70 authored/edited books with leading global publishers. His research interests span machine learning, data science, IoT, algorithms, and security. He serves as Editor-in-Chief of the Research Journal of Computer Systems and Engineering and holds editorial roles in other prestigious journals. He has received numerous accolades, including the "Best Faculty Award" by Sinhgad Institutes and Cognizant, the International S4DS Distinguished Researcher of the Year 2023, and the IEEE ICTBIG 2024 Distinguished Research Guide Award. His books, such as Design and Analysis of Algorithms and Data Analysis on Pandemic, are widely recognized, with the latter earning two international awards in 2020. Additionally, his edited work Data Science: Techniques and Intelligent Applications won the Choice Outstanding Academic Titles Award for 2024. Dr. Mahalle has delivered over 400 lectures globally and is a certified ISO 27001:2022 Lead Auditor.
Pranav Pawar graduated in Computer Engineering from Dr. Babasaheb Ambedkar Technological University, Maharashtra, India, in 2005, received a Master in Computer Engineering from Pune University, in 2007, and received Ph.D. in Wireless Communication from Aalborg University, Denmark in 2016, his Ph.D. thesis received a nomination for Best Thesis Award from Aalborg University, Denmark. Currently, he is working as an Assistant Professor in the Dept of Computer Science, Birla Institute of Technology and Science, Dubai, before BITS he was a postdoctoral fellow at Bar-Ilan University, Israel from March 2019 to October 2020 in Wireless Communication and Deep Learning. He is the recipient of an outstanding postdoctoral fellowship from the Israel Planning and Budgeting Committee. He worked as an Associate Professor at MIT ADT University, Pune from 2018-to 2019 and as an Associate Professor in the Department of Information Technology, STES's Smt. Kashibai Navale College of Engineering, Pune from 2008-2018. From 2006 to 2007, was working as System Executive in POS-IPC, Pune, India. He received Recognition from Infosys Technologies Ltd. for his contribution to the Campus Connect Program and received different funding for research and attending conferences at the international level. 2 students completed PhD under his supervision in an area of Intelligent Security and Deep Learning from BITS Pilani Dubai Campus. Currently he is supervising 4 PhD students in an area of Digital Privacy, Machine Learning, Adversial attacks on ML models, and Intelligent IoT Security. He published more than 80 papers in Q1, Q2 journals and ranked conferences and filled 3 intellectual property rights in UAE and India. He is an IBM DB2 and IBM RAD certified professional and completed NPTEL certification in different subjects.
作者簡介(中文翻譯)
**Mansi Subhedar** 完成了電子與通訊工程的學士學位(BE)、電子工程的碩士學位(ME),並於2019年獲得電子工程的博士學位(Ph.D.)。她擁有超過18年的教學經驗。目前擔任印度馬哈拉施特拉邦納維孟買的Pillai HOC工程與技術學院電子與計算機科學系的副教授及系主任。她在同行評審的國際期刊和會議上發表了49篇論文,並擔任多個知名國際期刊和會議的審稿人。她曾擔任19場Scopus國際會議的審稿人和技術委員會成員。她獲得了孟買大學三個項目的研究經費,並申請了4項專利。她是ISTE、IEI和CSI的終身會員,IETE的研究員,以及IEEE的高級會員。她曾擔任各種州級和國家級項目競賽的評審和導師,如SIH、Avishkar、Hackathon等。她在孟買大學獲得電子與通訊工程的研究生(PG)和博士(PhD)指導資格。在她的指導下,有12名學生完成了電子與通訊工程的碩士學位。她的研究興趣包括物聯網(Internet of Things)、電信網絡、工業4.0和機器學習(Machine Learning)。她在Google Scholar上獲得了1179次引用,h指數為12,i10指數為12。她曾就研究論文寫作、物聯網、電信網絡、機器學習和Python等主題進行多次演講和實作課程。她擁有多項NPTEL、Coursera和Edx的機器學習、高效能計算、工業物聯網和無線技術的認證。
**Dr. Parikshit Mahalle** 是一位高級IEEE會員,目前擔任印度浦那Vishwakarma技術學院的教授及研究與發展院長。此前,他曾擔任Vishwakarma信息技術學院的研究與發展院長及人工智慧與數據科學系主任,以及Sinhgad學院的計算機工程系主任。他於2013年在丹麥奧爾堡大學獲得博士學位,並在丹麥哥本哈根的CMI完成博士後研究。擁有25年的教學和研究經驗,他指導了8名物聯網和機器學習的博士生,其中7名成功通過論文答辯,並指導了2名來自台灣國立大學的博士後研究員。Dr. Mahalle擁有令人印象深刻的學術履歷,包括52項專利、超過400篇研究出版物(Google Scholar引用:4000+,H指數:28;Scopus引用:2000+,H指數:21),以及與全球知名出版商合作的70本著作/編輯書籍。他的研究興趣涵蓋機器學習、數據科學、物聯網、算法和安全性。他擔任《計算機系統與工程研究期刊》的主編,並在其他知名期刊中擔任編輯職務。他獲得了多項榮譽,包括Sinhgad學院和Cognizant頒發的「最佳教師獎」、2023年國際S4DS傑出研究者獎,以及2024年IEEE ICTBIG傑出研究指導獎。他的著作,如《算法的設計與分析》和《疫情數據分析》,廣受認可,後者在2020年獲得兩項國際獎項。此外,他編輯的作品《數據科學:技術與智能應用》獲得2024年Choice傑出學術著作獎。Dr. Mahalle在全球發表了超過400場講座,並且是一名認證的ISO 27001:2022首席審核員。
**Pranav Pawar** 於2005年從印度馬哈拉施特拉邦的Dr. Babasaheb Ambedkar科技大學畢業,獲得計算機工程學士學位,於2007年在浦那大學獲得計算機工程碩士學位,並於2016年在丹麥奧爾堡大學獲得無線通信的博士學位,他的博士論文獲得了奧爾堡大學最佳論文獎提名。目前,他在迪拜的Birla科技與科學學院計算機科學系擔任助理教授。在加入BITS之前,他於2019年3月至2020年10月在以色列巴伊蘭大學擔任無線通信和深度學習的博士後研究員。他獲得了以色列規劃與預算委員會頒發的傑出博士後獎學金。他曾於2018年至2019年在浦那的MIT ADT大學擔任副教授,並於2008年至2018年在STES的Smt. Kashibai Navale工程學院擔任信息技術系副教授。2006年至2007年,他在印度浦那的POS-IPC擔任系統執行官。他因對Campus Connect計劃的貢獻而獲得Infosys Technologies Ltd.的表彰,並獲得不同的資金以支持國際級的研究和會議參加。在他的指導下,有2名學生在BITS Pilani迪拜校區完成了智能安全和深度學習領域的博士學位。目前,他正在指導4名博士生,研究主題包括數位隱私、機器學習、對抗性攻擊及智能物聯網安全。他在Q1、Q2期刊和排名會議上發表了超過80篇論文,並在阿聯酋和印度申請了3項知識產權。他是IBM DB2和IBM RAD的認證專業人士,並在不同科目上完成了NPTEL認證。