Cyber-Physical System for Rural Development: Technological Innovations for Sustainable Futures
暫譯: 農村發展的網路物理系統：可持續未來的技術創新
Zahoor, Saniya, Ahmad Sofi, Shabir, Verma, Prabal
相關主題
商品描述
This book examines the potential benefits of cyber-physical systems (CPS) and applications for rural development. It provides an in-depth examination of theoretical concepts, in addition to presenting real-world case studies and methodological frameworks and ways of enabling effective CPS deployments in remote areas. From precision agriculture to remote healthcare, to connectivity challenges, the book highlights practical applications of Cyber-Physical Systems (CPS) and focuses on solutions to the promotion of inclusive growth.
- Offers innovative solutions and technologies to address rural connectivity challenges, enabling effective CPS deployments in remote areas
- Adopts an interdisciplinary approach, involving contributions from experts in engineering, agriculture, information technology, and more, catering to the multidisciplinary nature of CPS and rural development
- Diverse real-world case studies offer practical insights into successful CPS implementations in rural settings, highlighting their transformative impact on livelihoods and well-being
- Discusses real-time implementation, simulations, and experiments, offering frameworks for measuring CPS performance and facilitating research and practical application
- Presents theoretical concepts of CPS and evaluates trending technologies like IoT, Blockchain, AI, and ML in various CPS applications, providing systematic insight into their role
This book is a reference for scholars, educators, and practitioners interested in exploring the potential of cyber-physical systems for inclusive rural development.
商品描述(中文翻譯)
這本書探討了網路物理系統（Cyber-Physical Systems, CPS）在農村發展中的潛在好處及應用。它深入檢視理論概念，並呈現實際案例研究、方法論框架以及在偏遠地區有效部署CPS的方式。從精準農業到遠程醫療，再到連接挑戰，本書突顯了網路物理系統（CPS）的實際應用，並專注於促進包容性增長的解決方案。
- 提供創新的解決方案和技術，以應對農村連接挑戰，實現偏遠地區有效的CPS部署
- 採用跨學科的方法，涉及工程、農業、資訊技術等領域的專家貢獻，滿足CPS和農村發展的多學科特性
- 多樣的實際案例研究提供了成功在農村環境中實施CPS的實用見解，突顯其對生計和福祉的變革性影響
- 討論實時實施、模擬和實驗，提供測量CPS性能的框架，促進研究和實際應用
- 呈現CPS的理論概念，並評估物聯網（IoT）、區塊鏈（Blockchain）、人工智慧（AI）和機器學習（ML）等趨勢技術在各種CPS應用中的角色，提供系統性的見解
這本書是對於有興趣探索網路物理系統在包容性農村發展潛力的學者、教育工作者和實務工作者的參考資料。
作者簡介
Saniya Zahoor, PhD
Assistant Professor, Department of Information Technology, NIT Srinagar, India
Saniya Zahoor is currently working as Assistant Professor, in Department of Information Technology, National Institute of Technology, NIT Srinagar, India. She also worked as Assistant Professor in Computer Science Department, University of Kashmir, India. She has done her Ph.D from NIT Srinagar, M.E from Pune University and B.E from University of Kashmir. She has authored and co-authored many Scopus and SCI journals and conferences. Her work is published in highly reputed publishers. She has received "Best Student" award from Indian Society for Technical Education (ISTE), "Gold Medal" from University of Kashmir and "First Ranker" award from University of Pune. She has worked in various organizations like TRDDC Pune, DRDO Delhi, Blackberry and University of Kashmir. Her current working research areas include Internet of Things (IoT), Big Data Analytics, Fog-Cloud computing, Data Mining, Web personalization. She is also the reviewer of many reputed SCI journals. Moreover, she also qualified NET with high percentile.
Shabir Ahmad Sofi, PhD
Associate Professor, Department of Information Technology, NIT Srinagar, India
As an Associate Professor in Information Technology, Shabir Ahmad Sofi specializes
in combining his passion for technology with his dedication to education and research.With 15 years of expertise in various areas of IT, he strives to create innovative solutions and foster a dynamic learning environment for his students. Throughout his career, he has been actively engaged in research endeavors, publishing his findings in reputable academic journals and presenting at international conferences. His research interests span areas like Internet of Things, Artificial Intelligence, Quantum Computing, Cyber Physical Systems and Cloud Computing. By
conducting rigorous research, he aims to contribute to the body of knowledge in IT and address real-world challenges faced by organizations and individuals. Through his work as an Associate Professor in Information Technology, he is dedicated to making a positive impact in academia, industry, and society as a whole.
Prabal Verma, PhD
Assistant Professor, Department of Information Technology, NIT Srinagar, India
Prabal Verma is currently working as Assistant Professor, in Department of Information
Technology, National Institute of Technology, NIT Srinagar, India. He also worked as Assistant Professor under TEQIP-III and before joining NIT Srinagar, he was Assistant Professor-I, in Computer Science and Engineering Department, Thapar Institute of Engineering and Technology, Patiala, India. He did his doctoral degree in Computer Science and Engineering from Guru Nanak Dev University, Amritsar. He received his M.Tech degree in Computer Science and Engineering from Guru Nanak Dev University, Amritsar. His work is published in highly reputed publishers. His current working research areas include Internet of Things (IoT), Big Data Analytics, Machine Learning and Fog-Cloud computing. He is also the reviewer of many reputed SCI journals. He has handled multiple projects under his TEQIP-III tenure. He is also the editorial board
member of Word Scientific Journal (Q3, Scopus), Journal of Information & Knowledge Management. Moreover, he also qualified GATE and NET with high percentile.
Victor Sheng, PhD
Associate Professor, Department of Computer Science, Texas Tech University
Victor Sheng is currently working as an Associate Professor in the department of Computer Science at Texas Tech University. He received the MSc degree from the University of New Brunswick, Fredericton, NB, Canada, and the PhD degree from the University of Western Ontario, London, ON, Canada, both in computer science, in 2003 and 2007, respectively. He is the founding director of Data Analytics Laboratory, University of Central Arkansas. After receiving the PhD degree, he was an associate research scientist and NSERC postdoctoral fellow in information systems with the Stern Business School, New York University, New York, NY, USA. His research interests include data mining, machine learning, crowdsourcing, and related
applications. He has published more than 140 research papers in conferences and journals of machine learning and data mining. Most papers were published in top journals and conferences in data science, such as PAMI, TNNLS, TKDE, AAAI, KDD, IJCAI, and ACMMM. He is an SPC and PC member for many international conferences and a reviewer of more than twenty international journals. He was the recipient of the best paper award runner up from KDD'08, the best paper award from ICDM'11, the best student paper award finalist from WISE'15, and the best paper
award from ICCCS'18.
作者簡介(中文翻譯)
**Saniya Zahoor, PhD**
助理教授，資訊科技系，印度斯里那卡國立技術學院（NIT Srinagar）
Saniya Zahoor 目前在印度斯里那卡國立技術學院的資訊科技系擔任助理教授。她曾在印度喀什米爾大學的計算機科學系擔任助理教授。她在斯里那卡國立技術學院獲得博士學位，並在普那大學獲得碩士學位，在喀什米爾大學獲得學士學位。她已發表多篇 Scopus 和 SCI 期刊及會議論文，並在知名出版社發表作品。她曾獲得印度技術教育學會（ISTE）的「最佳學生」獎、喀什米爾大學的「金獎」以及普那大學的「第一名」獎。她曾在多個機構工作，包括普那的 TRDDC、德里 DRDO、Blackberry 和喀什米爾大學。她目前的研究領域包括物聯網（IoT）、大數據分析、霧雲計算、資料探勘和網頁個性化。她也是多本知名 SCI 期刊的審稿人。此外，她還以高百分比通過 NET 考試。
**Shabir Ahmad Sofi, PhD**
副教授，資訊科技系，印度斯里那卡國立技術學院（NIT Srinagar）
作為資訊科技的副教授，Shabir Ahmad Sofi 專注於將他對技術的熱情與對教育和研究的奉獻相結合。擁有 15 年的 IT 各領域專業經驗，他努力為學生創造創新解決方案並促進動態學習環境。在他的職業生涯中，他積極參與研究工作，將研究成果發表在知名學術期刊並在國際會議上報告。他的研究興趣涵蓋物聯網、人工智慧、量子計算、網路物理系統和雲計算等領域。通過進行嚴謹的研究，他旨在為 IT 知識體系做出貢獻，並解決組織和個人面臨的現實挑戰。作為資訊科技的副教授，他致力於在學術界、產業和整個社會中產生積極影響。
**Prabal Verma, PhD**
助理教授，資訊科技系，印度斯里那卡國立技術學院（NIT Srinagar）
Prabal Verma 目前在印度斯里那卡國立技術學院的資訊科技系擔任助理教授。他曾在 TEQIP-III 項目下擔任助理教授，並在加入 NIT Srinagar 之前，擔任印度帕提亞拉的 Thapar 工程技術學院計算機科學與工程系的助理教授-I。他在阿姆利則的古魯納納克大學獲得計算機科學與工程的博士學位，並在同一所大學獲得計算機科學與工程的碩士學位。他的研究成果發表在知名出版社上。他目前的研究領域包括物聯網（IoT）、大數據分析、機器學習和霧雲計算。他也是多本知名 SCI 期刊的審稿人。在 TEQIP-III 任期內，他負責多個項目。他還是《Word Scientific Journal》（Q3, Scopus）和《Journal of Information & Knowledge Management》的編輯委員會成員。此外，他還以高百分比通過 GATE 和 NET 考試。
**Victor Sheng, PhD**
副教授，計算機科學系，德州科技大學（Texas Tech University）
Victor Sheng 目前在德州科技大學的計算機科學系擔任副教授。他於 2003 年和 2007 年分別在加拿大新不倫瑞克大學和西安大略大學獲得計算機科學的碩士和博士學位。他是阿肯色中央大學數據分析實驗室的創始主任。獲得博士學位後，他在美國紐約大學斯特恩商學院擔任資訊系統的副研究科學家和 NSERC 博士後研究員。他的研究興趣包括資料探勘、機器學習、群眾外包及相關應用。他在機器學習和資料探勘的會議和期刊上發表了超過 140 篇研究論文，大多數論文發表在資料科學的頂尖期刊和會議上，如 PAMI、TNNLS、TKDE、AAAI、KDD、IJCAI 和 ACMMM。他是多個國際會議的 SPC 和 PC 成員，並擔任超過二十本國際期刊的審稿人。他曾獲得 KDD'08 的最佳論文獎亞軍、ICDM'11 的最佳論文獎、WISE'15 的最佳學生論文獎決賽入圍者，以及 ICCCS'18 的最佳論文獎。
