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UML 物件導向 武功祕笈

為了解決cloud function的問題，作者孫惠民 這樣論述：

　　關鍵語法與實用範例觀念解說！ 　　現在就全面領略UML的極緻表現！   　　應用軟體設計與開發技術的日新月益，當「物件導向系統分析與設計」方法無法再滿足於新一代的雲端或Mobile應用軟體系統的開發規劃需求時，最新一代的「函數式物件導向系統分析與設計 (Function-Object Oriented Analysis And Design，FOOSA & FOOSD)」技術就應運而生。   　　「函數式物件導向系統分析與設計 (Function-Object Oriented Analysis And Design，FOOSA & FOOSD)」是一種建構在「函數框架

(Functions Frame)」與「物件 (Object)」的交互結合的互動框架處理方式的系統分析與設計方式！能滿足現在新一代雲端或Mobile應用軟體系統的開發規劃需求！但目前此種嶄新的分析技術尚屬萌芽階層，逐漸的，會有愈來愈多的分析師會瞭解使用此種分析方法來規劃的優點！   　　本書使用深入淺出的編寫方式來教導讀者與分析師學習此種最新的系統分析方法。並以各類實用的應用範例，以Step By Step的方式來教導讀者與分析師使用「函數式物件導向系統分析」方法規劃與設計應用系統！希望本書能帶給所有讀者與分析師些許的助益。

cloud function進入發燒排行的影片

一個使用智慧型手機實現深度學習心電圖分類的心臟疾病辨識系統

為了解決cloud function的問題，作者何亞恩 這樣論述：

目錄誌謝 i摘要 iiAbstract iii目錄 v圖目錄 viii表目錄 xi第一章 緒論 11.1研究動機 11.2研究目的 21.3研究架構 2第二章 研究背景 32.1心電圖與疾病介紹 32.1.1心臟導程 32.1.2心臟疾病介紹 52.2Android系統 102.2.1 Android的基礎 102.2.2 Android系統框架 102.3相關文獻探討 11第三章 研究方法 173.1資料庫介紹 173.2訊號前處理 193.2.1小波濾波 193.2.2訊號正規化 213.3一維訊號轉二維影像 213.3.1手機螢幕上

繪製圖形 213.3.2影像儲存於智慧型手機 233.3.3資料擴增Data Augmentation 243.4深度學習架構 253.4.1多卷積核架構 253.4.2注意力模型 283.4.2.1通道注意力模組Channel attention 293.4.2.2空間注意力模組Spatial attention 303.4.2.3激活函數Activation function 303.5損失函數Loss function 313.6交叉驗證Cross validation 323.7優化訓練模型 333.8移動端應用 343.9硬體設備、軟體環境與開發環境 36

3.9.1硬體設備 363.9.2軟體環境與開發環境 37第四章 研究結果與討論 3834.1評估指標 384.2訓練參數設定 404.3實驗結果 414.3.1深度學習模型之辨識結果 414.3.1.1比較資料擴增前後之分類結果 414.3.1.2不同模型架構之分類結果 424.3.2智慧型手機應用結果 464.4相關文獻比較 48第五章 結論與未來展望 525.1結論 525.2未來展望 53參考文獻 54

6g Mobile Wireless Networks

為了解決cloud function的問題，作者 這樣論述：

Dr. Yulei Wu is a Senior Lecturer with the Department of Computer Science, College of Engineering, Mathematics and Physical Sciences, University of Exeter, United Kingdom. He received his Ph.D. degree in Computing and Mathematics and B.Sc. (1st Class Hons.) degree in Computer Science from the Univer

sity of Bradford, United Kingdom, in 2010 and 2006, respectively. His expertise is on intelligent networking, and his main research interests include computer networks, networked systems, software defined networks and systems, network management, and network security and privacy. His research has be

en supported by the Engineering and Physical Sciences Research Council, London Mathematical Society, National Natural Science Foundation of China, University’s Innovation Platform (Link Fund) and industry. Dr. Wu serves as an Associate Editor of IEEE Transactions on Network and Service Management, I

EEE Transactions on Network Science and Engineering, and IEEE Access, as well as an Area Editor of Computer Networks (Elsevier). He also serves as a Guest Editor for many international journals, including IEEE Journal on Selected Areas in Communications, IEEE Transactions on Industrial Informatics,

IEEE Transactions on Cognitive Communications and Networking, IEEE Transactions on Sustainable Computing, and IEEE Transactions on Computational Social Systems. He is a Senior Member of the IEEE and the ACM, and a Fellow of the HEA.Sukhdeep Singh received his Integrated Dual Degree (Bachelors and Ma

sters degree) in Computer Science from GVU Jaipur India in 2013. He received his PhD in Computer Engineering from Sungkyunkwan University in South Korea in 2016 along with the ’Superior Research Award’ for publishing the maximum number of SCI(E) research papers during Ph.D. in 2016 from the Electric

al and Computer Engineering department. He also received the ’SKKU bright student scholarship award’. He was part of Brain Korea (BK21) and National Research Foundation of Korea project during his Ph.D. He worked in diverse fields during his Ph.D., viz. eMBMS scheduling, video delivery architecture

for 5G, integrating sociology with Next Generation Mobile Networks, D2D communications. Sukhdeep Singh is currently working with Samsung R&D India Bangalore in 5G RAN System design where he is responsible for research and design of O-RAN and Networks Slicing features for 5G Networks. Apart from this

he is also heading the research task force of Access R&D group (with 200+ employees) of Network R&D team at Samsung R&D India-Bangalore. He received Samsung Best Paper Award conferred by CEO & President of Samsung Electronics and has also received Samsung Citizen Award (quarterly awards) for four t

imes conferred by MD of Samsung R&D India-Bangalore. He has published more than 25 research articles in his career. He has served as Guest editor in Taylor and Francis IETE journal, General Chair in workshops hosted/will be hosted in IEEE WCNC 2020 and IEEE Globecom 2020. He also served as Technical

Program Chair member for IEEE iNIS 2016, IEEE iNIS 2017, ISRO-ACM ICSE 2017, IEEE iSES 2018, IEEE iSES 2019, IEEE iSES 2020 and IEEE iSES 2021. He has been invited as a guest lecturer by University of Toronto, IITs, IIMs and IIITs and keynote speaker at Springers ICIMMI 2019 and IEEE Virtual Talk S

eries 2020. He edited the world’s first book on 6G.Tarik Taleb received the B.E. degree (with Distinction) in information engineering and the M.Sc. and Ph.D. degrees in information sciences from Tohoku University, Sendai, Japan, in 2001, 2003, and 2005, respectively. He is currently a Professor with

the School of Electrical Engineering, Aalto University, Espoo, Finland. He is the Founder and the Director of the MOSA!C Lab, Espoo, Finland. He is a part-time Professor with the Center of Wireless Communications, University of Oulu, Oulu, Finland. He was an Assistant Professor with the Graduate Sc

hool of Information Sciences, Tohoku University, in a laboratory fully funded by KDDI until 2009. He was a Senior Researcher and a 3GPP Standards Expert with NEC Europe Ltd., Heidelberg, Germany. He was then leading the NEC Europe Labs Team, involved with research and development projects on carrier

cloud platforms, an important vision of 5G systems. From 2005 to 2006, he was a Research Fellow with the Intelligent Cosmos Research Institute, Sendai. He has also been directly engaged in the development and standardization of the Evolved Packet System as a member of the 3GPP System Architecture W

orking Group. His current research interests include architectural enhancements to mobile core networks (particularly, 3GPP’s), network softwarization and slicing, mobile cloud networking, network function virtualization, software-defined networking, mobile multimedia streaming, inter vehicular comm

unications, and social media networking.Harpreet S. Dhillon received the B.Tech. degree in electronics and communication engineering from IIT Guwahati in 2008, the M.S. degree in electrical engineering from Virginia Tech in 2010, and the Ph.D. degree in electrical engineering from the University of

Texas at Austin in 2013. After serving as a Viterbi Postdoctoral Fellow at the University of Southern California for a year, he joined Virginia Tech in 2014, where he is currently an Associate Professor of electrical and computer engineering and the Elizabeth and James E. Turner Jr. ’56 Faculty Fell

ow. His research interests include communication theory, wireless networks, stochastic geometry, and machine learning. He is a Clarivate Analytics Highly Cited Researcher and has coauthored five best paper award recipients including the 2014 IEEE Leonard G. Abraham Prize, the 2015 IEEE ComSoc Young

Author Best Paper Award, and the 2016 IEEE Heinrich Hertz Award. He is the recipient of the 2020 IEEE Communication Theory Technical Committee (CTTC) Early Achievement Award and the 2020 IEEE Radio Communications Committee (RCC) Early Achievement Award. He was named the 2017 Outstanding New Assistan

t Professor, the 2018 Steven O. Lane Junior Faculty Fellow, the 2018 College of Engineering Faculty Fellow, and the recipient of the 2020 Dean’s Award for Excellence in Research by Virginia Tech. His other academic honors include the 2008 Agilent Engineering and Technology Award, the UT Austin MCD F

ellowship, the 2013 UT Austin WNCG leadership award, and the inaugural IIT Guwahati Young Alumni Achiever Award 2020. He currently serves as a Senior Editor for the IEEE Wireless Communications Letters and an Editor for the IEEE Transactions on Wireless Communications and the IEEE Transactions on Gr

een Communications and Networking.Abhishek Roy received the B.E. degree from Jadavpur University, India, in 2000, the M.S. degree from The University of Texas at Arlington, in 2002, and the Ph.D. degree from Sungkyunkwan University, in 2010. He is currently working as a Senior Technical Manager at M

ediaTek Inc. USA. Prior to working in MediaTek, he worked for Samsung Electronics at their head quarters in Suwon, South Korea for 12 years. He has more than 15 years of relevant experience in design and performance analysis of wireless networks, spanning across different countries. He has strong pr

ofessional skills in 4G/5G/6G wireless system design, New Radio unlicensed, the IoT, cloud RAN, network modeling, and simulation. He has been published in more than 80 top-notch international journals and magazines (IEEE), coupled with ten patents and standards contributions. He served as technical

program committee members and track chairs of International wireless conferences, special Issue journal editorial boards and PhD thesis committees. He is also winner of Best Employee, Best Masters and Best Paper awards from company, University and International Conferences.Madhan Raj Kanagarathinam

received the BE degree in computer science and engineering from Anna University, Chennai, India, in 2012. He is currently pursuing his MS in Indian Institute of Technology (IIT) Madras. He has nine years of working experience in design and development of TCP/IP protocols, Multipath TCP and UNIX flav

ored operating systems. Currently, he is working as a Senior Chief Engineer for Samsung R&D Institute India Bangalore. Previously, he worked as an Engineer with Aricent Technology (India) Private Limited. He is the author of 15 articles, and more than 25 inventions. His current research interests in

clude communication and network which include Pre-6G/Beyond 5G, Next Generation Mobile Network, software defined network architecture, wireless transport layer protocols, and cross layer optimization technique. He is also winner of IEEE Bangalore Young Technologist of the Year 2020. He is a senior m

ember of the IEEE, and a member of the ACM.Dr. Aloknath De is Chief Technology Officer of Samsung R&D Institute India, Bangalore since 2011 when he initiated 5G research activities as his first assignment. As Corporate Vice President of Samsung Electronics, South Korea, he has also been responsible

for Samsung’s IoT Data Platform and Intelligent Services. Dr. De received his B.Tech. from Indian Institute of Technology (IIT), Kharagpur, M.E. from Indian Institute of Science (IISc), Bangalore, and Ph.D. from McGill University, Montreal. Prior to Samsung, he has held progressive responsibilities

in Bharat Electronics, Nortel Network (Montreal), Hughes and ST-Ericsson where he was Country Manager and a Board Director. Additionally, he served as an AICTE-INAE Visiting Professor in IIT-Roorkee and an Adjunct Professor in IIT-Delhi between 2005 and 2011. During 30 years of corporate life, he ha

s been solving complex problems: from Radar Systems to Futuristic Devices, from Rich Communication to Machine Understanding. He has 25+ patents granted/filed and 50+ research publications. For technology leadership, Dr. De has received numerous accolades: Alexander Graham Bell Prize (Canada), IETE M

emorial Award, IDC Insights Award, Nasscom AI Game Changer Award; and also from IESA for ’Innovative Product’, Zinnov for ’Intrapreneur of the Year’, Assocham for ’Tech Leader of the Year’ and TechCircle for ’Business Transformation’. He is recognized as one of the ’Most Influential CIO/CTOs of Indi

a’ and is Invited Speaker in ’Thought Leadership’ forums. His meticulous drive has made Samsung India center an Innovation Hub with repeat recognition through ’National IP Award’, and ’Great Place to Innovate’ award. He leads Samsung’s deep partnership with and strategic investment in Indian Startup

s. He has been contributing to global technology standards and is current chair of OCF India forum for IoT. As Chair of IEEE Communication Society in Bangalore, he has been spearheading workshops on Emerging Technologies. He is involved with Dept of Science & Technology (DST) and premier institutes

as member of Advisory Committee, Research Council and Governing Body. He is Fellow of IETE, IEI and Indian National Academy of Engineering (INAE).

基於維持局部結構與特徵⼀致性之改善點雲語意分割方法

為了解決cloud function的問題，作者林正偉 這樣論述：

現今有許多研究探討如何運用深度學習方法處理三維點雲 (Point Cloud)， 雖然有些研究成功轉換二維卷積網路到三維空間，或利用多層感知機 (MLP) 處理點雲，但在點雲語意分割 (semantic segmentation) 上仍無法到 達如同二維語意分割的效能。其中一個重要因素是三維資料多了空間維度， 且缺乏如二維研究擁有龐大的資料集，以致深度學習模型難以最佳化和容 易過擬合 (overfit)。為了解決這個問題，約束網路學習的方向是必要的。在 此篇論文中，我們專注於研究點雲語意分割，基於輸入點會和擁有相似局部 構造的相鄰點擁有相同的語意類別，提出一個藉由比較局部構造，約束相鄰 區域

特徵差異的損失函數，使模型學習局部結構和特徵之間的一致性。為了 定義局部構造的相似性，我們提出了兩種提取並比較局部構造的方法，以此 實作約束局部結構和特徵間一致性的損失函數。我們的方法在兩個不同的 室內、外資料集顯著提升基準架構 (baseline) 的效能，並在 S3DIS 中取得 目前最好的結果。我們也提供透過此篇論文方法訓練後的網路，在輸入點與 相鄰點特徵間差異的視覺化結果。