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Edge AI: Convergence of Edge Computing and Artificial Intelligence

為了解決Canada mobile plan的問題，作者Wang, Xiaofei,Han, Yiwen,Leung, Victor C. M. 這樣論述：

Xiaofei Wang is currently a Professor with the Tianjin Key Laboratory of Advanced Networking, School of Computer Science and Technology, Tianjin University, China. He got Master and Doctor Degrees in Seoul National University from 2006 to 2013, and was a Post-Doctoral Fellow with The University of B

ritish Columbia from 2014 to 2016. Focusing on the research of social-aware cloud computing, cooperative cell caching, and mobile traffic offloading, he has authored over 100 technical papers in the IEEE JSAC, the IEEE TWC, the IEEE WIRELESS COMMUNICATIONS, the IEEE COMMUNICATIONS, the IEEE TMM, the

IEEE INFOCOM, and the IEEE SECON. He was a recipient of the National Thousand Talents Plan (Youth) of China. He received the ＂Scholarship for Excellent Foreign Students in IT Field＂ by NIPA of South Korea from 2008 to 2011, the ＂Global Outstanding Chinese Ph.D. Student Award＂ by the Ministry of Edu

cation of China in 2012, and the Peiyang Scholar from Tianjin University. In 2017, he received the ＂Fred W. Ellersick Prize＂ from the IEEE Communication Society.Mr. Yiwen Han received his B.S. degree from Nanchang University, China, and M.S. degree from Tianjin University, China, in 2015 and 2018, r

espectively, both in communication engineering. He received the Outstanding B.S. Graduates in 2015 and M.S. National Scholarship of China in 2016. He is currently pursuing the Ph.D. degree in computer science at Tianjin University. His current research interests include edge computing, reinforcement

learning, and deep learning.Prof. Victor C. M. Leung is a Distinguished Professor of Computer Science and Software Engineering at Shenzhen University. He was a Professor of Electrical and Computer Engineering and holder of the TELUS Mobility Research Chair at the University of British Columbia (UBC

) when he retired from UBC in 2018 and became a Professor Emeritus. His research is in the broad areas of wireless networks and mobile systems. He has co-authored more than 1300 journal/conference papers and book chapters. Dr. Leung is serving on the editorial boards of the IEEE Transactions on Gree

n Communications and Networking, IEEE Transactions on Cloud Computing, IEEE Access, IEEE Network, and several other journals. He received the IEEE Vancouver Section Centennial Award, 2011 UBC Killam Research Prize, 2017 Canadian Award for Telecommunications Research, and 2018 IEEE TCGCC Distinguishe

d Technical Achievement Recognition Award. He co-authored papers that won the 2017 IEEE ComSoc Fred W. Ellersick Prize, 2017 IEEE Systems Journal Best Paper Award, 2018 IEEE CSIM Best Journal Paper Award, and 2019 IEEE TCGCC Best Journal Paper Award. He is a Fellow of IEEE, the Royal Society of Cana

da, Canadian Academy of Engineering, and Engineering Institute of Canada. He is named in the current Clarivate Analytics list of ＂Highly Cited Researchers＂.Prof. Dusit Niyato is currently a Professor in the School of Computer Science and Engineering, at Nanyang Technological University, Singapore. H

e was a Distinguished Lecturer of the IEEE Communications Society for 2016-2017. He was named the 2017, 2018 highly cited researcher in computer science. He is a Fellow of IEEE. His research interests are in the area of Internet of Things (IoT) and network resource pricing.Xueqiang Yan is currently

a technology expert with Wireless Technology Lab at Huawei Technologies. He was a member of technical staff of Bell Labs from 2000 to 2004. From 2004 to 2016 he was a director of Strategy Department of Alcatel-Lucent Shanghai Bell. His current research interests include wireless networking, Internet

of Things, edge AI, future mobile network architecture, network convergence and evolution.Xu Chen is a Full Professor with Sun Yatsen University, Guangzhou, China, and the vice director of National and Local Joint Engineering Laboratory of Digital Home Interactive Applications. He received the Ph.D

. degree in information engineering from the Chinese University of Hong Kong in 2012, and worked as a Postdoctoral Research Associate at Arizona State University, Tempe, USA from 2012 to 2014, and a Humboldt Scholar Fellow at Institute of Computer Science of University of Goettingen, Germany from 20

14 to 2016. He received the prestigious Humboldt research fellowship awarded by Alexander von Humboldt Foundation of Germany, 2014 Hong Kong Young Scientist Runner-up Award, 2016 Thousand Talents Plan Award for Young Professionals of China, 2017 IEEE Communication Society Asia-Pacific Outstanding Yo

ung Researcher Award, 2017 IEEE ComSoc Young Professional Best Paper Award, Honorable Mention Award of 2010 IEEE international conference on Intelligence and Security Informatics (ISI), Best Paper Runner-up Award of 2014 IEEE International Conference on Computer Communications (INFOCOM), and Best Pa

per Award of 2017 IEEE Intranational Conference on Communications (ICC). He is currently an Associate Editor of IEEE Internet of Things Journal and IEEE Transactions on Wireless Communications, and Area Editor of IEEE Open Journal of the Communications Society.

Lonely Planet Epic Bike Rides of the Americas

為了解決Canada mobile plan的問題，作者Lonely Planet Publications (COR) 這樣論述：

Get ready to explore America's most thrilling gravel, road and trail bike routes.This definitive companion for cycling enthusiasts showcases 200 of North, Central and South America's best and most celebrated routes, from epic adventures off the beaten path to shorter urban rides. Go bikepacking in B

aja, road riding in Colombia, mountain biking in Canada and gravel riding in Pennsylvania. Each ride is accompanied by stunning photos and a map and toolkit of practical details - where to start and finish, how to get there, where to stay and more - to help you plan the perfect trip. Suggestions for

similar rides around the world are also included.Rides in Canada include: The Cabot Trail (Nova Scotia)Whistler Bike Park (British Columbia)The Whitehorse Trails (Yukon)Banff to Whitefish (Alberta)Rides in the USA include: Mountain Biking in Moab (Utah)Great Allegheny PassageColorado Beer RideGlaci

er National Park Loop (Montana)The Covered Bridges of VermontRides in Central America & CaribbeanThe Baja Divide (Mexico)Oaxaca to Zipolite (Mexico)Cuba's Southern Rollercoaster (Cuba)Rides in South America include: The Trans Ecuador Mountain Bike Route (Ecuador)Mendoza Wine Ride (Argentina)The Lagu

nas Route (Bolivia)To the Tip of Patagonia (Argentina)The Peru DivideAbout Lonely Planet: Lonely Planet is a leading travel media company and the world's number one travel guidebook brand, providing both inspiring and trustworthy information for every kind of traveller since 1973. Over the past fou

r decades, we've printed over 145 million guidebooks and grown a dedicated, passionate global community of travellers. You'll also find our content online, on mobile, video and in 14 languages, 12 international magazines, armchair and lifestyle books, ebooks, and more.

以語音辨識系統改善臺灣國小五年級學童發音表現的效益

為了解決Canada mobile plan的問題，作者張毓庭 這樣論述：

本研究探討利用語音辨識系統中分段式回饋的改善台灣國小五年級學生發 音表現之效益。本研究研究對象練習的課程分為三種，包括目標課程、支持課 程及額外課程。學生有確實練習並進行前後測的是目標課程。學生有練習但是 沒有前後測的是補充課程，而學生沒練習但是有前後測的是非目標課程。本研究旨除了觀察學生於目標課程的表現是否有進步，也觀察學生於非目標課程的表現，是否能因為於語音辨識系統的練習過程而獲得同步的提升。本研究以台北市某一國小共七十二位國小五年級學童為研究對象。兩個班中的二十五位學童(子音組)練習子音的目標課程及補充課程。兩個班中的二十九位學童練習母音(母音組)的目標課程及補充課程。一個班中的十八位

學童練習子音及母音組(子母音組)的目標及補充課程。練習活動共計進行五週，每週一次，每次四十分鐘。所有的組別都接受子音及母音於目標課程及非目標課程的前後測。此外，研究對象也於實驗結束後填寫問卷，表達對於語音辨識系統輔助發音學 習的看法。本研究結果如下:1. 於語音辨識系統的發音練習能顯著提升台灣國小五年級學生於練習過的子音 及母音課程中的發音能力(目標課程)。2. 即使沒有直接練習過，於語音辨識系統的發音練習亦能顯著的輔助提升台灣 國小五年級學生於子音及母音課程中的發音能力(非目標課程)。3. 於語音辨識系統發音練習對於子音組、母音組及子母音組的進步效益沒有顯著差異。4. 於語音辨識系統的發音練

習能對於學生於發音練習的態度有正向影響。根據上述研究結果，本研究建議於台灣國小英語教室可以使用語音辨識系統輔助教學，以促進學童英語發音之學習成效。