相關主題
商品描述
The discussion on the concept of HDT encompasses an overview of its applications and its specific characteristics when compared to the conventional digital twin models. In addressing the design requirements and challenges of HDT, the text delves into the complexities of securing high-quality data, ensuring ultra-reliable and low-latency communication, data privacy and integrity, while managing storage, computation and analytics. Exploring edge-assisted human-to-virtual solutions, the book also introduces a connectivity framework and details the modeling process for human-to-virtual twin connectivity. The book later presents an in-depth examination of the practical Byzantine fault tolerance framework, followed by a discussion on shard-based Byzantine fault-tolerant schemes tailored for HDT, along with analyses of latency and throughput.
Furthermore, the book outlines the framework for DPFML-assisted human-to-virtual twin connectivity, accompanied by a novel consensus algorithm known as the proof of model quality. Finally, it presents future research directions aimed at addressing communication challenges hindering the seamless design and development of HDT. By offering this comprehensive exploration, the book serves as a valuable resource for researchers, practitioners, and policymakers seeking to navigate the evolving landscape of HDT and its transformative potential in various domains.
商品描述(中文翻譯)
人類數位雙胞胎（HDT）是一項變革性技術，預計將改變各種以人為中心的系統。HDT 在個性化醫療方面的潛在應用，承諾透過整合尖端技術，如人工智慧、數據分析、物聯網、網絡安全以及虛擬和擴增實境，提供快速、精確且高效的醫療服務。本書針對現有文獻中的關鍵空白，提供了對 HDT 連接解決方案的全面探索，同時優先考慮可靠性、安全性和隱私。主要主題包括 HDT 的基本概念、設計要求及相關挑戰、邊緣輔助的人與虛擬解決方案、基於區塊鏈的數據共享機制，以及針對 HDT 設計的差分隱私聯邦多任務學習（DPFML）方法論。
對 HDT 概念的討論涵蓋了其應用概述及其與傳統數位雙胞胎模型相比的特定特徵。在探討 HDT 的設計要求和挑戰時，文本深入探討了確保高品質數據的複雜性、實現超可靠和低延遲通信、數據隱私和完整性，同時管理存儲、計算和分析。探索邊緣輔助的人與虛擬解決方案時，本書還介紹了一個連接框架，並詳細說明了人與虛擬雙胞胎連接的建模過程。隨後，本書對實用的拜占庭容錯框架進行了深入檢視，並討論了針對 HDT 的基於分片的拜占庭容錯方案，以及延遲和吞吐量的分析。
此外，本書概述了 DPFML 輔助的人與虛擬雙胞胎連接框架，並附上了一種稱為模型質量證明的新共識算法。最後，書中提出了未來研究方向，旨在解決妨礙 HDT 無縫設計和開發的通信挑戰。通過提供這一全面的探索，本書成為研究人員、實務工作者和政策制定者在不斷演變的 HDT 及其在各個領域的變革潛力中導航的寶貴資源。
作者簡介
Jun Cai received the Ph.D. degree in electrical engineering from the University of Waterloo, Waterloo, ON, Canada, in 2004. From 2004 to 2006, he was a Postdoctoral Fellow with the Natural Sciences and Engineering Research Council of Canada (NSERC), McMaster University, Hamilton, ON, Canada. From 2006 to 2018, he was with the Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, Canada, where he was a Full Professor and the NSERC Industrial Research Chair. In 2019, he joined the Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada, as a Full Professor and the PERFORM Centre Research Chair. His current research interests include edge/fog computing, eHealth, radio resource management in wireless communications networks, and performance analysis. He received the Best Paper Award from Chinacom in 2013, the Rh Award for outstanding contributions to research in applied sciences in 2012 from the University of Manitoba, and the Outstanding Service Award from the IEEE Globecom 2010. He served as the Registration Chair for QShine 2005, the Track/Symposium Technical Program Committee (TPC) Co-Chair for the IWCMC 2008, the IEEE Globecom 2010, the IEEE VTC 2012, the IEEE CCECE 2017, and the IEEE VTC 2019, and the Publicity Co-Chair for the IWCMC 2010, 2011, 2013, 2014, 2015, 2017, and 2020, the TPC CoChair for the IEEE GreenCom 2018 and the General chair for the 2023 Biennial Symposium on Communications. He also served on the Editorial Board of the IEEE Internet of Things Journal, IET Communications, and Wireless Communications and Mobile Computing. Changyan Yi is currently a Professor with the College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics (NUAA), Nanjing, China. He received the Ph.D. degree from the Department of Electrical and Computer Engineering, University of Manitoba, MB, Canada, in 2018. From September 2018 to August 2019, he worked as a research associate in the University of Manitoba, MB, Canada. He was awarded Changkong Scholor of NUAA in 2018, and the Chinese Government Award for Outstanding Students Abroad in 2017. His research interests include game theory, queueing theory, machine learning and their applications in various wireless networks.
作者簡介(中文翻譯)
Samuel D. Okegbile於2021年獲得南非比勒陀利亞大學的計算機工程博士學位。他目前是加拿大蒙特利爾康考迪亞大學電氣與計算機工程系網絡智能與創新實驗室的博士後研究員。他的研究興趣包括人類數位雙胞胎以及普遍計算和移動計算，涵蓋物聯網、數據共享、人工智慧、無線通信網絡和區塊鏈等多個有趣主題。他曾獲得多項獎項，包括Horizon博士後獎學金、SENTECH獎學金和比勒陀利亞大學博士獎學金。他也是一些IEEE期刊和會議的定期審稿人，並擔任2023年雙年通訊研討會的出版主席。
Jun Cai於2004年獲得加拿大安大略省滑鐵盧大學的電氣工程博士學位。從2004年到2006年，他在加拿大自然科學與工程研究委員會（NSERC）麥克馬斯特大學擔任博士後研究員。從2006年到2018年，他在加拿大曼尼托巴大學電氣與計算機工程系任職，擔任全職教授及NSERC工業研究主席。2019年，他加入加拿大蒙特利爾康考迪亞大學電氣與計算機工程系，擔任全職教授及PERFORM中心研究主席。他目前的研究興趣包括邊緣/霧計算、電子健康、無線通信網絡中的無線資源管理和性能分析。他於2013年獲得Chinacom最佳論文獎，2012年獲得曼尼托巴大學在應用科學研究方面的傑出貢獻Rh獎，並於2010年獲得IEEE Globecom傑出服務獎。他曾擔任QShine 2005的註冊主席，IWCMC 2008、IEEE Globecom 2010、IEEE VTC 2012、IEEE CCECE 2017和IEEE VTC 2019的技術程序委員會（TPC）共同主席，以及IWCMC 2010、2011、2013、2014、2015、2017和2020的宣傳共同主席，IEEE GreenCom 2018的TPC共同主席，以及2023年雙年通訊研討會的總主席。他還曾擔任IEEE物聯網期刊、IET Communications和Wireless Communications and Mobile Computing的編輯委員會成員。
Changyan Yi目前是中國南京航空航天大學計算機科學與技術學院的教授。他於2018年獲得加拿大曼尼托巴大學電氣與計算機工程系的博士學位。從2018年9月到2019年8月，他在曼尼托巴大學擔任研究助理。他於2018年獲得南京航空航天大學的長空學者稱號，並於2017年獲得中國政府頒發的優秀留學生獎。他的研究興趣包括博弈論、排隊論、機器學習及其在各種無線網絡中的應用。
