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Trust Models for Next-Generation Blockchain Ecosystems

為了解決TOTAL 10W-40 PTT的問題，作者 這樣論述：

Muhammad Habib ur Rehman is currently working at center for cyber-physical systems of Khalifa University in United Arab Emirates as a postdoctoral research fellow. He is currently working on trustworthy Blockchain technologies for intelligent cyber-physical systems. His main research activities incl

ude research and development of trust models for decentralized and trustworthy artificial intelligence applications for cyber-physical systems. He is also an alumnae of DAAD’s postdoctoral network since September 2019. Habib is a bright spark fellow and he obtained his PhD degree from faculty of com

puter Science and information technology, University of Malaya, Malaysia. He completed his bachelors and masters degrees in Pakistan whereby he received gold medals and 100% fee-waiver scholarships from COMSATS University Islamabad, Pakistan. Overall, he has authored/co-authored 40 international pub

lications including journal articles, conference proceedings, book chapters, and magazine articles whereby his 04 articles are categorized as highly cited publications by Web-of-Science. Dr. Habib’s research interests include blockchain technologies, cyber-Physical Systems, secure key management, bi

g data, edge computing, and industrial IoT. Dr. Habib is a professional member of IEEE.Davor Svetinovic received the Ph.D. degree in computer science from the University of Waterloo, Canada, 2006. He is currently an Associate Professor of computer science with the Khalifa University of Science and T

echnology, UAE, and a Research Affiliate with the Media Lab, Massachusetts Institute of Technology (MIT), USA. Previously, he worked as a Visiting Professor at the Massachusetts Institute of Technology (MIT) and a Postdoctoral Researcher at the Lero-the Irish Software Engineering Center, Ireland, an

d the Vienna University of Technology, Austria. He leads the Strategic Requirements and Systems Security Group (SRSSG), and he has extensive experience working on complex multidisciplinary research projects. He has published over 80 articles in leading journals and conferences. His current research

interests include systems security and privacy, blockchain engineering, and artificial intelligence. He is a Senior Member of IEEE and ACM. Khaled Salah received the B.S. degree in computer engineering with a minor in computer science from Iowa State University, USA, in 1990, the M.S. degree in comp

uter systems engineering and the Ph.D. degree in computer science from the Illinois Institute of Technology, USA, in 1994 and 2000, respectively. He is currently a Full Professor with the Department of Electrical and Computer Engineering, Khalifa University, UAE. He joined Khalifa University, in Aug

ust 2010, where he is teaching graduate and undergraduate courses in the areas of cloud computing, computer and network security, computer networks, operating systems, and performance modeling and analysis. Prior to joining Khalifa University, he worked at the Department of Information and Computer

Science, King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia, for ten years. He has over 190 publications and holds three patents, has been giving a number of international keynote speeches, invited talks, tutorials, and research seminars on the subjects of blockchain, the IoT, fog

and cloud computing, and cybersecurity. He is a member of the IEEE Blockchain Education Committee. He was a recipient of the Khalifa University Outstanding Research Award, in 2014 and 2015, the KFUPM University Excellence in Research Award, in 2008 and 2009, and the KFUPM Best Research Project Award

, in 2009 and 2010, and the departmental awards for Distinguished Research and Teaching in prior years. He serves on the editorial boards of many WoS-listed journals, including IET Communications, IET Networks, Elsevier’s JNCA, Wiley’s SCN, Wiley’s IJNM, J.UCS, and AJSE. He is the Track Chair of the

IEEE Globecom 2018 on Cloud Computing. He is an Associate Editor of the IEEE Blockchain Newsletter. Ernesto Damiani is Senior Director of Artificial Intelligence and Intelligent Systems Institute, Khalifa University, leader of the Big Data area at Etisalat British Telecom Innovation Center, Full Pr

ofessor at Università degli Studi di Milano, and President of the Consortium of Italian Computer Science Universities (CINI). Within the Computer Science Department of the Università degli Studi di Milano, he leads the Secure Service-oriented Software Research (SESAR) Lab. According to DBLP, Ernesto

Damiani has authored 129 journal papers, 321 refereed articles in proceedings of international conferences, and published 56 books and chapters as an author or editor. According to Google Scholar, Ernesto’s work has been cited more than 16,600 times and his h-index is 55; 271 of his papers have at

least 10 citations. On Scopus, he has 583 documents and more than 6,500 total citations by 5,200 documents. His Scopus h-index is 35. With 517 publications listed on DBLP, he is considered among the most prolific European computer scientists.Ernesto is also co-author of several industrial patents to

gether with researchers from private companies like British Telecom and Siemens Networks (now Nokia Siemens). Among his books, most notable are ＂Open Source Systems Security Certifications＂ (with C.A. Ardagna, N. El Ioini, Springer, 2008), ＂Intelligent Multimedia Multi-Agent Systems: A Human-Centred

Approach (with R. Khosla, I. K. Sethi, Springer, 2010)＂, and ＂Human-Centred e-Business＂ (with R. Khosla and W. Grosky, Elsevier, 2003). Well-known is his work on (a) the modelling and analysis of SOA and cloud security; (b) encrypted data querying and secure computation over Big Data, and (c) semi-

structured data models (he contributed to the seminal XML-GL query language, was the proposer of the XACML policy language as well as of the notion of fuzzy matching of metadata).

Intelligent Computing and Optimization: Proceedings of the 3rd International Conference on Intelligent Computing and Optimizatio

為了解決TOTAL 10W-40 PTT的問題，作者 這樣論述：

Pandian Vasant is a senior lecturer at University of Technology Petronas, Malaysia and an Editor-in-Chief of International Journal of Energy Optimization and Engineering (IJEOE). He holds PhD in Computational Intelligence (UNEM, Costa Rica), MSc (University Malaysia Sabah, Malaysia, Engineering Math

ematics) and BSc (Hons, Second Class Upper) in Mathematics (University of Malaya, Malaysia). His research interests include Soft Computing, Hybrid Optimization, Innovative Computing and Applications. He has co-authored research articles in journals, conference proceedings, presentation, special issu

es guest editor, book chapters (257 publications indexed in SCOPUS) and General Chair of EAI International Conference on Computer Science and Engineering in Penang, Malaysia (2016) and Bangkok, Thailand (2018). In the year 2009 and 2015, Dr. Pandian Vasant was awarded top reviewer and outstanding re

viewer for the journal Applied Soft Computing (Elsevier). He has 30 years of working experiences at the universities. Currently he is an Editor-in-Chief of International Journal of Energy Optimization & Engineering, and Member of AMS (USA), NAVY Research Group (TUO, Czech Republic) and MERLIN Resear

ch Group (TDTU, Vietnam). H-Index Google Scholar = 33; i-10-index = 107.Ivan Zelinka is currently working at the Technical University of Ostrava (VSB-TU), Faculty of Electrical Engineering and Computer Science. He graduated consequently at Technical University in Brno (1995 - MSc.), UTB in Zlin (200

1 - PhD) and again at Technical University in Brno (2004 - assoc. prof.) and VSB-TU (2010 - professor). Before academic career, he was an employed like TELECOM technician, computer specialist (HW+SW) and Commercial Bank (computer and LAN supervisor). During his career at UTB, he proposed and opened

7 different lectures. He also has been invited for lectures at numerous universities in different EU countries plus the role of the keynote speaker at the Global Conference on Power, Control and Optimization in Bali, Indonesia (2009), Interdisciplinary Symposium on Complex Systems (2011), Halkidiki,

Greece and IWCFTA 2012, Dalian China. The field of his expertise if mainly on unconventional algorithms and cybersecurity. He is and was responsible supervisor of 3 grant of fundamental research of Czech grant agency GAČR, co-supervisor of grant FRVS - Laboratory of parallel computing. He was also

working on numerous grants and two EU project like a member of the team (FP5 - RESTORM) and supervisor (FP7 - PROMOEVO) of the Czech team and supervisor of international research (founded by TACR agency) focused on the security of mobile devices (Czech - Vietnam). Currently, he is a professor at the

Department of Computer Science and in total, he has been the supervisor of more than 40 MSc. and 25 Bc. diploma thesis. Ivan Zelinka is also supervisor of doctoral students including students from the abroad. He was awarded by Siemens Award for his PhD thesis, as well as by journal Software news fo

r his book about artificial intelligence. Ivan Zelinka is a member of British Computer Society, Editor in chief of Springer book series: Emergence, Complexity and Computation, Editorial board of Saint Petersburg State University Studies in Mathematics, a few international program committees of vario

us conferences and international journals. He is the author of journal articles as well as of books in Czech and English language and one of three founders of TC IEEE on big data. He is also head of research group NAVY. G.-W. Weber is a Professor at Poznan University of Technology, Poznan, Poland, a

t Faculty of Engineering Management, Chair of Marketing and Economic Engineering. His research is on OR, financial mathematics, optimization and control, neuro- and bio-sciences, data mining, education and development; he is involved in the organization of scientific life internationally. He receive

d his Diploma and Doctorate in mathematics, and economics / business administration, at RWTH Aachen, and his Habilitation at TU Darmstadt. He held Professorships by proxy at University of Cologne, and TU Chemnitz, Germany. At IAM, METU, Ankara, Turkey, he was a Professor in the programs of Financial

Mathematics and Scientific Computing, and Assistant to the Director, and he has been a member of further graduate schools, institutes and departments of METU. Further, he has affiliations at the universities of Siegen, Ballarat, Aveiro, North Sumatra, and Malaysia University of Technology, and he i

s ＂Advisor to EURO Conferences＂.

以網紅作為周邊線索對產品態度及購買意願之研究

為了解決TOTAL 10W-40 PTT的問題，作者鄭雁庭 這樣論述：

因應新冠疫情，網路購物的需求越來越高，而美妝保養品的網路購物市場也 越來越成熟，消費者在網路上購買美妝保養品的意願也越來越高而現行的網路行 銷方式越來越多。而現行的網路行銷的方法很多樣化，本研究試圖以推敲可能性 理論模型來研究探討當有網紅或是KOL介入作為周邊線索時，會如何影響消費者 的廣告態度以及購買意願。網紅或是KOL的影響力是否會影響高涉入及低涉入消 費者的廣告態度及購買意願呢? 本研究採用問卷調查法，發放時間為2022年6月3日至2022年6月16日，以 Instagram的限時動態廣告作為廣告曝光的媒介，利用新創保養品品牌-影響因子 的精華液作為操弄產品，使用推敲可能性理論模

型作為研究方法來分析中央路徑 及周邊路徑對於高涉入和低涉入消費者的交互作用及影響。先以測試問卷測量出 強論點品質及弱論點品質後，在正式問卷合作三位網紅作為周邊路徑的網紅代 言，共發放問卷445份，回收篩選有效問卷385份。問卷調查完後有連結可以連到 品牌的官方網站進行下單，而最後分析實際轉換效果。 本研究採用SPSS統計軟體進行敘述性統計分析、信度分析、Bartlett的球形檢 定、總變異量分析、變異數分析、迴歸分析。結果顯示:高涉入受試者在接收強 論點品質的訊息時廣告態度的合意度會比弱論點品質高，但購買意願沒有顯著的 差別;低涉入受試者對於網紅代言的產品廣告態度沒有顯著性的差別，但購買意

願卻是有顯著性地高;當有周邊路徑的網紅代言時能夠提高購買意願。在實際轉換的數據顯示，實際下單購買的低購買意願消費者，皆受到網紅代 言的影響。而下單率最高的模組是接收到好的廣告論點品質的高涉入受試者，因 此品牌在操弄廣告時，可以考慮下單率最高的這個模組，針對高涉入的消費者給 予好的廣告內容來增加購買意願。