CS Online的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列免費下載的地點或者是各式教學

Blockchain Technology in Healthcare Applications: Social, Economic and Technological Implications

為了解決CS Online的問題，作者 這樣論述：

Dr. Bharat Bhushan is an Assistant Professor of Department of Computer Science and Engineering (CSE) at School of Engineering and Technology, Sharda University, Greater Noida, India. He received his Undergraduate Degree (B-Tech in Computer Science and Engineering) with Distinction in 2012, received

his Postgraduate Degree (M-Tech in Information Security) with Distinction in 2015 and Doctorate Degree (PhD Computer Science and Engineering) in 2021 from Birla Institute of Technology, Mesra, India. He earned numerous international certifications such as CCNA, MCTS, MCITP, RHCE and CCNP. He has Pub

lished more than 80 research papers in various renowned International conferences and SCI indexed journals. He has contributed with more than 40 book chapters in various books and has edited 11 books from the most famed publishers like Elsevier, IGI Global, and CRC Press. He has served as Keynote Sp

eaker (resource person) numerous reputed international conferences held in different countries including India, Morocco, China, Belgium, Iraq and Bangladesh. In the past, he worked as an assistant professor at HMR Institute of Technology and Management, New Delhi and Network Engineer in HCL Infosyst

ems Ltd., Noida. He is also a member of numerous renowned bodies including IEEE, IAENG, CSTA, SCIEI, IAE and UACEE.Prof. (Dr.) Nitin Rakesh is Head of Computer Science & Engineering Department for B.Tech/M.Tech (CSE/IT), B.Tech CSE-IBM Specializations, B.Tech CSE-I Nurture, BCA/MCA, BSc/MSc-CS at Sc

hool of Engineering and Technology, Sharda University, India. He received his PhD degree in Computer Science & Engineering with Network Coding as his specialization. He received Master of Technology Degree in Computer Science & Engineering and Bachelor of Technology degree in Information Technology.

He is having 100+ research publications in reputed SCI or Scopus indexed Journals and International Conferences. Currently, he is guiding eight PhD students of various Universities and Industries. His research outlines emphasis on Network Coding, Interconnection Networks & Architecture and Online P

hantom Transactions. Dr. Nitin has accorded several other awards for Best Paper Published, Session Chairs, Highest Cited author, Best Students Thesis Guided, and many others. He is a recipient of IBM Drona Award and Top 10 State Award Winner. He is an active member of professional society like IEEE

(USA), ACM, SIAM (USA), Life Member of CSI and other professional societies.Prof. (Dr.) Yousef FARHAOUI is Professor at Moulay Ismail University, Faculty of Sciences and Techniques, Morocco. Local Publishing and Research Coordinator, Cambridge International Academics in United Kingdom. He obtained h

is Ph.D. degree in Computer Security from Ibn Zohr University of Science. His research interests include learning, e-learning, computer security, big data analytics, and business intelligence. Farhaoui has three books in computer science. He is a coordinator and member of the organizing committee an

d also a member of the scientific committee of several international congresses and is a member of various international associations. He has authored 4 Book and many Book Chapters with Reputed Publishers such as Springer and IGI. He is served as a Reviewer for IEEE, IET, Springer, Inderscience and

Elsevier Journals. He is also the Guest Editor of many Journals with Wiley, Springer, Inderscience, etc. He has been the General Chair, Session Chair, and Panellist in Several Conferences. He is Senior Member of IEEE, IET, ACM and EAI Research Group.Prof. (Dr.) Parma Nand is Dean, School of Engineer

ing Technology, Sharda University Greater Noida. He has over 26 years of teaching, industry and research experience. He has expertise in Wireless and Sensor Network, Cryptography, Algorithm and Computer Graphics. He has earned his Ph.D from IIT Roorkee, M.Tech & B.Tech in Computer Science & Engineer

ing from IIT Delhi. He has been Ex-President of National Engineers Organization. He is senior member of IEEE (USA). He is member Executive Council of IEEE UP section (R10), member Executive Committee IEEE Computer and Signal Processing Society, member Executive of India council Computer Society, mem

ber Executive Council Computer Society of India, Noida section and has acted as an observer in many IEEE conferences. He has delivered many invited/keynotes talks at International & National Conferences/ Workshops/Seminars in India & abroad. He has published more than 85 papers in peer reviewed inte

rnational/national journals and conferences. He is also having active memberships of ACM, CSI, ACEEE, ISOC, IAENG, and IASCIT. He is life time member of Soft Computing Research Society (SCRS) and ISTE. Prof. (Dr.) Bhuvan Unhelkar (BE, MDBA, MSc, PhD; FACS; PSM-I, CBAP(R)) is an accomplished IT profe

ssional and Professor of IT at the University of South Florida, Sarasota-Manatee (Lead Faculty). He is also Founding Consultant at Method Science and a Co-Founder/Director at PlatiFi. He has mastery in Business Analysis & Requirements Modelling, Software Engineering, Big Data Strategies, Agile Proce

sses, Mobile Business and Green IT. His domain experience is banking, financial, insurance, government and telecommunications. Bhuvan is a thought-leader and a prolific author of 25. He is a winner of the Computerworld Object Developer Award (1995), Consensus IT Professional Award (2006) and IT Writ

er Award (2010). He has a Doctorate in the area of Object Orientation from the University of Technology, Sydney, in 1997. Bhuvan is Fellow of the Australian Computer Society, IEEE Senior Member, Professional Scrum Master, Life member of Computer Society of India and Baroda Management Association, Me

mber of SDPS, Past President of Rotary Sarasota Sunrise (Florida) & St. Ives (Sydney), Paul Harris Fellow (+6), Discovery volunteer at NSW parks and wildlife, and a previous TiE Mentor. Dr. Unhelkar is the winner of the Computerworld Object Developer Award (1995), Consensus IT Professional Award (20

06) and IT Writer Award (2010). He also chaired the Business Analysis Specialism Group of the Australian Computer Society.

CS Online進入發燒排行的影片

銀髮族旅遊動機對小琉球生態旅遊遊憩體驗關係之研究

為了解決CS Online的問題，作者陳信宏 這樣論述：

本研究以問券調查方式調查65歲以上的民眾對於小琉球服務品質的看法以及在小琉球的體驗滿意度。之後檢定服務品質與體驗滿意度兩者間的關係，研究結果發現服務品質與滿意度呈現正向相關。最後對於服務品質方面提出兩點建議：1. 重視服務人員與銀髮族遊客間之互動。2. 加強小琉球醫療資源服務。而在體驗滿意度上提出三點建議：1. 加強服務人員的訓練。2. 加強餐飲品質。3. 提出有吸引力的觀光宣傳

Data Science and Internet of Things: Research and Applications at the Intersection of DS and Iot

為了解決CS Online的問題，作者 這樣論述：

Giancarlo Fortino (SM’12) is Full Professor of Computer Engineering at the Dept. of Informatics, Modeling, Electronics and Systems (DIMES) of the University of Calabria (Unical), Rende (CS), Italy. He has a Ph. D. degree and Laurea (MSc+BSc) degree in Computer Engineering from Unical. He is High-end

Foreign Expert of China (term 2015-2018), Adjunct and Guest Professor at the Wuhan University of Technology (China), High-end Expert of HUST (China), CAS PIFI Visiting Scientist at Shenzhen (2019-2021), Distinguished Professor of Huazhong Agricultural University (China) and Associated Senior Resear

ch Fellow at the Italian National Research Council - ICAR Institute. He has been also Visiting Researcher and Professor at the International Computer Science Institute (Berkeley, USA, 97-99) and at the Queensland University of Technology (Australia, 2009), respectively. He is in the list of Top Ital

ian Scientists (TIS) by VIA-academy and Guide2Research, with h-index=52 and 10000+ citations according to GS. According to the SciVal tool based on the Scopus database, in the last 5 years (2015-19), he is ranked N. 39 in the Computer Science field in the ranking of Top 500 authors, by Scholarly Out

put in the World, based on the FWCI index, is N. 1 in the Research Area ＂Hardware and Architecture＂ and N. 1 in the topic ＂Body Sensor Network; Smart Object; Interoperability＂. According to WoS, he has currently 12 highly cited papers and has been recently nominated Highly Cited Researcher 2020 by C

larivate. He is the director of the SPEME (Smart, Pervasive and Mobile Systems Engineering) Lab at DIMES, Unical and co-director of three joint-labs on Smart IoT technologies established with Wuhan University of Technology, Shanghai Maritime University, and Huazhong Agricultural University, respecti

vely. He is also the director of the postgraduate master in ＂INTER-IoT: Integrator of Internet of Things Systems＂ and the Rector’s delegate to international relations at Unical. His main research interests include Human-Machine Systems, Wearable Computing, Internet of Things computing and technology

, agent-based computing, body area networks, wireless sensor networks, pervasive and cloud computing, multimedia networks, and mobile health systems. He participated to many local, national and international research projects and was also the deputy coordinator and scientific & technical project man

ager of the EU-funded (8M) H2020 INTER-IoT project. He authored 450+ publications in journals (200+ in ISI-impacted journals), conferences and books. He chaired 100+ Int’l conferences/workshops (he is the general chair of the 1st edition of the 2020 IEEE Human-Machine Systems conference), organized

60+ special issues in well-known ISI-impacted Int’l Journals, and participated in the TPC of about 500 conferences. He is the founding editor in chief of the IEEE Book Series on ＂Human-Machine Systems＂ and of the Springer Book Series on ＂Internet of Things: Technology, Communications and Computing＂,

and currently serves (as associate editor) in the editorial board of IEEE Transactions on Human-Machine Systems, IEEE Transactions on Affective Computing, IEEE IoT Journal, IEEE Sensors Journal, IEEE SMC Magazine, IEEE Access, Information Fusion, Engineering Applications of Artificial Intelligence,

Journal of Networks and Computer Applications and others. He is the recipient of the 2014 Andrew P. Sage SMC Best Transactions Paper award. He is Distinguished Lecturer of the IEEE Sensors Council for the period 2021-2023. He is the Chair of the IEEE SMC Italian Chapter, Member-at-large of the IEEE

SMCS BoG, Member of the IEEE Press Board of Directors, and founding chair of the IEEE SMC Technical Committee on ＂Interactive and Wearable Computing and Devices＂. He is co-founder and CEO of SenSysCal S.r.l., a spin-off of Unical, developing innovative human-oriented IoT-based systems for e-health

and domotics. Antonio Liotta is Professor of Data Science and Intelligent Systems at Edinburgh Napier University, where he is coordinating multi-disciplinary programs in Data Science and Artificial Intelligent across the university. He has recently been awarded a prestigious fellowship in China, wh

ere he is the founding director of the Joint Intellisensing Lab and holds a Visiting Professorship at Shanghai Ocean University. Previously, he was Professor of Data Science and the founding director of the Data Science Research Centre, University of Derby, UK. He was leading all university-wide res

earch, educational, and infrastructure programs in data science and artificial intelligence. His team is at the forefront of influential research in data science and artificial intelligence, specifically in the context of smart cities, Internet of Things, and smart sensing. Antonio is a member of th

e U.K. Higher Education Academy, IEEE Senior Member, and serves the Peer Review College of the U.K. Engineering and Physical Sciences Research Council. He is the Editor-in-Chief of the Springer Internet of Things book series; associate editor of the Journals JNSM, IJNM, JMM, and IF; and editorial bo

ard member of 6 more journals. He has 6 patents and over 300 publications to his credit, and is the author of the book Networks for Pervasive Services: six ways to upgrade the Internet. He is renowned for his contributions to miniaturized machine learning, particularly in the context of the Internet

of Things. He has led the international team that has recently made a breakthrough in artificial neural networks, using network science to accelerate the training process. Raffaele Gravina received the PhD degree in computer engineering from the University of Calabria, Italy, in 2012. He is the mai

n designer of the SPINE Framework and responsible for the open-source contributions. He spent two years as researcher at the Telecom Italia WSN Lab at Berkeley, California. He is involved in several research projects on WSNs, including H2020 Inter-IoT, AD-PERSONAS, BodyCloud, MAPS and the REWSN Clus

ter of FP7 CONET. He is co-founder of SenSysCal S.r.l. and Talent Garden Cosenza S.r.l. He is IEEE member since 2016. He is author of more than 70 papers in international journals, conferences, and book chapters. He is currently serving as Assistant Professor in Computer Engineering at the Universit

y of Calabria, Italy. His research interests are focused on high-level programming methods for Wireless Body Sensor Networks and on the Internet-of-Things. Alessandro Longheu works as research fellow at the Department of Electrical, Electronics and Informatics Engineering (DIEEI, formerly known as D

IIT) at the University of Catania. He received his PhD in Electronics, Informatics and Telecommunications Engineering from the University of Palermo in 2001 and his MS in Informatics Engineering at the University of Catania in 1997. From 1997 to 2020 he was involved in more than 18 research activiti

es and projects (DSS-DROUGHT, OSIRID, SMIT, SMARTHEALTH) concerning information modeling and retrieval, workflow management, e-learning, trust and reputation, healthcare systems, complex networks, NLP and sentiment analysis, spreading models, online social networks. Since 2000 he has been an adjunct

professor of several Computer Science courses both at the University of Catania and at the University Kore of Enna. He has participated in many conferences including ETFA, TAKMA, SPEL, IDC, SITIS, Complenet, WSCE, Complex Networks, ISI&CDN 2018, DSIoT 2019. He has authored/co-authored more than 100

scientific papers in refereed Journals and Conferences.

基於語意之輪廓表示法及全連結捲積類神經網路之單晶片多車輛辨識系統

為了解決CS Online的問題，作者徐雋航 這樣論述：

鑒於現今智慧車輛發展迅速，前方車輛辨識及車距檢測為先進駕駛輔助系統 (Advanced Driver Assistance Systems, ADAS) 設計中相當重要的一環，此項技術通常藉由攝影鏡頭擷取前方影像，並透過影像辨識技術來判斷前方是否存在車輛、障礙物等等，進而控制車輛減速以保持安全距離。而這些複雜的圖形辨識技術往往需要透過高功耗之大型運算系統來實現，並且，若將傳統電腦安裝於車內常需要克服體積過大、耐震性不佳等缺點。因此，本研究專注於如何將車輛辨識及車距檢測演算法實現於單晶片，以達到高性能、低功耗，以及體積小之目的。為實現前方車輛辨識及車距檢測，本研究透過單一彩色相機模組收集前方影

像資訊，並於單一現場可程式邏輯閘陣列 (Field Programmable Gate Array, FPGA) 晶片中以最精簡之硬體電路實現白平衡 (White Balance)、影像對比度強化技術 (Image Contrast Technique)、物體邊緣檢測、利用基於模糊語意影像描述 (Semantics-based Vague Image Representation, SVIR) 改良之基於語義之輪廓表示法 (Semantic-based Contour Representation, SCR) 特徵表達物體、再透過不同的卷積核 (Convolution Kernel) 重釋SC

R特徵並交由全連接類神經網路(Fully Connected Neural Network, FCN) 進行車輛辨識。最後，以多個邊界框 (Bounding Box) 同時檢測前方多台車輛，達到單頁多目標辨識 (Single Shot MultiBox Detector，SSD) 之功能，而邊界框之座標可以透視法 (Perspective View) 計算前車相對距離。根據本研究之實驗結果，在相機以每秒90張影像攝影速度以及影像解析度在640×480像素的條件下，本研究僅須3.61us即可完成單台車輛辨識，車輛辨識率可達到94%，且車輛與非車輛至少保持38%以上之分離度，有效減少感測錯誤的情況

發生。因此，實現一真正高性能、低功耗以及體積小之前方車輛辨識晶片。