UK450 2021的問題,透過圖書和論文來找解法和答案更準確安心。 我們找到下列包括價格和評價等資訊懶人包

UK450 2021的問題,我們搜遍了碩博士論文和台灣出版的書籍,推薦寫的 Data Science and Internet of Things: Research and Applications at the Intersection of DS and Iot 可以從中找到所需的評價。

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國立臺灣科技大學 資訊管理系 吳宗成所指導 王晨維的 基於自我驗證公鑰系統之多授權機構屬性加密機制 (2021),提出UK450 2021關鍵因素是什麼,來自於屬性加密、自我驗證公鑰密碼系統、橢圓曲線密碼學、雲端資料共享。

而第二篇論文大同大學 設計科學研究所 賴志純所指導 張靖爾的 服裝在文化上的創新與永續設計 (2021),提出因為有 以人為本的設計、永續設計、服裝的重點而找出了 UK450 2021的解答。

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接下來讓我們看這些論文和書籍都說些什麼吧:

除了UK450 2021,大家也想知道這些:

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

為了解決UK450 2021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.

基於自我驗證公鑰系統之多授權機構屬性加密機制

為了解決UK450 2021的問題,作者王晨維 這樣論述:

基於多授權機構的屬性加密機制,在雲端運用的環境下可允許一對多授權存取的屬性密文資料共享情境,無須屬性金鑰託管,並可有效解決參與屬性授權機構之間的工作負荷分擔及潛在的共謀問題。本論文採用基於橢圓曲線密碼演算法的具自我驗證公開金鑰系統,提出一個適用於多授權機構的屬性加密機制,以解決上述的雲端資料共享問題。在我們提出的機制中,資料使用者藉由分享屬性金鑰方式,獲得既定的資料屬性授權以解開密文。此外,由於屬性金鑰是資料使用者及屬性授權機構共同產生,因此也可以有效避免金鑰託管及屬性機構之間的共謀問題。

服裝在文化上的創新與永續設計

為了解決UK450 2021的問題,作者張靖爾 這樣論述:

隨著西方服飾普及,傳統服裝日趨沒落,和近年來,服裝對環境所帶來的巨大污染,本研究思索傳統服裝永續傳承及當前服裝永續議題的重要性與急迫性,採用「以人為本的設計」理論,針對服裝的文化特色、色彩等和服裝永續設計探討大專校院學生對服裝的文化創新及藍染傳統技術應用的看法。目的是嘗試透過研究,了解服裝藉文化的創新、推展並融入環保原則擴大市場、提升產業值,使服裝邁向永續經營的可行性。本研究透過因素分析、單因子變異數分析和結構方程模型,對384名大學生及研究生進行考驗、分析。 研究結果顯示,1. 參與者認同服裝可透過創新的設計吸引年輕的潛在消費者。2. 由於傳統藍染具天然可持續和色彩搭配變化豐富的特性

,參與者認同其有助於染色過程不使環境遭受破壞、認同其在使用上具有永續性。3. 在服裝永續設計方面,參與者認同服裝產品的永續性需求,同時也對減少廢棄服裝的數量表示支持。因此,整體設計過程以「人」為思考中心,參與者認同對於傳統服裝,可藉創新的設計,對於服裝環保議題,則可藉持續的關注與實踐,而達成服裝永續之目標。故「以人為本的設計」理論運用於服裝領域是有效的。研究最後建議,面對現今服裝永續的議題,唯有追求服裝在文化特色上能不斷創新、產品設計具可持續性、提升使用者滿意度和參與負責任的消費,多管齊下,方能促進服裝的永續發展。 故服裝在包含線條、配飾、色彩等方面的文化創新和服裝永續設計的相關研究結果

,驗證了以人為本的設計理論模型對服裝永續創新和可持續的貢獻;而對相關業者、服裝設計人員的產品開發,與消費者力行永續的消費也具有重要意義。