The Role of Iot and Blockchain: Techniques and Applications
暫譯: 物聯網與區塊鏈的角色：技術與應用

Kuanar, Sanjay K., Mishra, Brojo Kishore, Peng, Sheng-Lung

The Role of Iot and Blockchain: Techniques and Applications
  • 出版商: Apple Academic Press
  • 出版日期: 2024-08-26
  • 售價: $3,570
  • 貴賓價: 9.5 折 $3,392
  • 語言: 英文
  • 頁數: 474
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 177463810X
  • ISBN-13: 9781774638101
  • 相關分類: 區塊鏈 Blockchain、物聯網 IoT

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

This volume provides informative chapters on the emerging issues, challenges, and new methods and state-of-the-art technologies on the Internet of Things and blockchain technology. It presents case studies and solutions that can be applied in the current business scenario, resolving challenges and providing solutions by integrating IoT with blockchain technology. The chapters discuss how the Internet of Things (IoT) represents a revolution of the Internet that can connect nearly all environment devices over the Internet to share data to create novel services and applications for improving quality of life. Although the centralized IoT system provides countless benefits, it raises several challenges. The volume presents IoT techniques and methodologies, blockchain techniques and methodologies, and case studies and applications for data mining algorithms, heart rate monitoring, climate prediction, disease prediction, security issues, automotive supply chains, voting prediction, forecasting particulate matter pollution, customer relationship management, and more.

商品描述(中文翻譯)

本卷提供了有關物聯網和區塊鏈技術的新興議題、挑戰以及新方法和尖端技術的資訊性章節。它展示了可以應用於當前商業情境的案例研究和解決方案，通過將物聯網與區塊鏈技術整合來解決挑戰並提供解決方案。章節討論了物聯網（Internet of Things, IoT）如何代表互聯網的一場革命，能夠通過互聯網連接幾乎所有環境設備以共享數據，從而創造新穎的服務和應用，以改善生活品質。儘管集中式物聯網系統提供了無數好處，但也帶來了幾個挑戰。本卷介紹了物聯網技術和方法論、區塊鏈技術和方法論，以及數據挖掘算法、心率監測、氣候預測、疾病預測、安全問題、汽車供應鏈、投票預測、顆粒物污染預測、客戶關係管理等的案例研究和應用。

作者簡介

Sanjay K. Kuanar, PhD, is Professor and Head of the Computer Science and Engineering Department of GIET University, Odisha, India. He has (co)authored several publications in prestigious journals in his field and has acted as a reviewer. He has also participated at many international conferences. His research interests include computer vision, pattern recognition, machine learning, and multimedia computing. His primary research is focused on exploring different machine learning techniques for solving challenging problems in summarizing and segmenting videos.

Brojo Kishore Mishra, PhD, is Professor in the Computer Science and Engineering Department at GIET University, Odisha, India. He has published more than 30 research papers in national and international conference proceedings, over 30 research papers in peer-reviewed journals, over 25 book chapters, and several authored and edited books. His research interests include data mining and big data analysis, machine learning, and security.

Sheng-Lung Peng, PhD, is Professor in the Department of Computer Science and Information Engineering at National Dong Hwa University, Taiwan. Dr. Peng has edited several special journal issues and is also a reviewer for many journals. He has published more than 100 papers in international journals and conferences. Dr. Peng is now the Dean of the Library and Information Services Office of NDHU, an Honorary Professor of the Beijing Information Science and Technology University of China, and a visiting Professor at the Ningxia Institute of Science and Technology of China, among other roles.

Daniel D. Dasig, Jr., PhD, is Associate Professor at De La Salle University Dasmarinas, Philippines, and a professorial lecturer at the University of Makati, where he also served as Research Coordinator in the College of Computer Science. He served as Chair of the Computer Engineering Department of Jose Rizal University, Philippines. He also works as part of the change management and software development teams of TELUS, a Canadian telecommunication company. Dr. Dasig has authored and co-authored many academic and technical papers and books and has held executive roles and active membership in more than 40 professional, research, and policymaking organizations.

作者簡介(中文翻譯)

Sanjay K. Kuanar, PhD 是印度奧里薩邦GIET大學計算機科學與工程系的教授及系主任。他在其領域的多本知名期刊上（共同）發表了多篇論文，並擔任過審稿人。他還參加了許多國際會議。他的研究興趣包括計算機視覺、模式識別、機器學習和多媒體計算。他的主要研究集中在探索不同的機器學習技術，以解決在視頻摘要和分割中面臨的挑戰性問題。

Brojo Kishore Mishra, PhD 是印度奧里薩邦GIET大學計算機科學與工程系的教授。他在國內外會議論文集中發表了超過30篇研究論文，在同行評審的期刊上發表了超過30篇研究論文，撰寫了超過25章的書籍，並編輯了幾本書籍。他的研究興趣包括數據挖掘和大數據分析、機器學習和安全性。

Sheng-Lung Peng, PhD 是台灣國立東華大學計算機科學與資訊工程系的教授。彭博士編輯了幾個特刊，並擔任多本期刊的審稿人。他在國際期刊和會議上發表了超過100篇論文。彭博士目前是國立東華大學圖書館與資訊服務處的院長，中國北京信息科技大學的名譽教授，以及中國寧夏科技學院的訪問教授等多個職位。

Daniel D. Dasig, Jr., PhD 是菲律賓德拉薩大學達斯馬里尼亞斯的副教授，並在馬卡蒂大學擔任教授講師，曾擔任計算機科學學院的研究協調員。他曾擔任菲律賓荷西·黎剎大學計算機工程系的系主任。他還是加拿大電信公司TELUS的變更管理和軟體開發團隊的一部分。達西博士撰寫和共同撰寫了許多學術和技術論文及書籍，並在超過40個專業、研究和政策制定組織中擔任過高級職位和活躍成員。

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