Modelling of Virtual Worlds Using the Internet of Things
暫譯: 使用物聯網建模虛擬世界

Singh, Simar Preet, Solanki, Arun

  • 出版商: CRC
  • 出版日期: 2026-05-21
  • 售價: $2,780
  • 貴賓價: 9.5$2,641
  • 語言: 英文
  • 頁數: 310
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1032768339
  • ISBN-13: 9781032768335
  • 相關分類: MakerDeepLearning大數據 Big-data
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

The text presents aspects of virtual worlds and highlights the emerging trends in simulation and modeling, comprising machine learning, artificial intelligence, deep learning, robotics, cloud computing, and data mining algorithms. It further discusses concepts including multimedia for the Internet of Things, graphical modeling using emerging technologies, and securing communication with secure data transmission in the modeling of virtual worlds.

This book:

  • Discusses secure data transmission in the modeling of virtual worlds in the Internet of Things environment.
  • Covers the integration of concepts and technical know-how about multiple technologies in visual world modeling, system configurations, and hardware issues.
  • Explores the use of next-generation technologies such as deep learning, blockchain, and artificial intelligence in visual world modeling scenarios.
  • Presents architectures and system models for the Internet of Things based visual world modeling systems.
  • Provides real-time case scenarios, highlighting emerging challenges and issues.

The text is primarily written for senior undergraduate students, graduate students, and academic researchers in the fields of electrical engineering, electronics, communications engineering, computer engineering, and information technology.

商品描述(中文翻譯)

這段文字介紹了虛擬世界的各個面向,並突顯了模擬和建模中出現的趨勢,包括機器學習、人工智慧、深度學習、機器人技術、雲端計算和資料挖掘演算法。它進一步討論了包括物聯網的多媒體、使用新興技術的圖形建模,以及在虛擬世界建模中安全數據傳輸的通信安全概念。

本書:

- 討論在物聯網環境中虛擬世界建模的安全數據傳輸。
- 涵蓋視覺世界建模中的多種技術概念和技術知識的整合,包括系統配置和硬體問題。
- 探索在視覺世界建模場景中使用下一代技術,如深度學習、區塊鏈和人工智慧。
- 提出基於物聯網的視覺世界建模系統的架構和系統模型。
- 提供即時案例場景,突顯出現的挑戰和問題。

這段文字主要針對電機工程、電子學、通信工程、計算機工程和資訊技術領域的高年級本科生、研究生和學術研究人員撰寫。

作者簡介

Simar Preet Singh is an associate professor at the School of Computer Science Engineering and Technology (SCSET), Bennett University, Greater Noida, Uttar Pradesh, India. He was previously affiliated with GNA University, Phagwara, and Chandigarh Engineering College, Ajitgarh, India. He also previously worked with Infosys Limited and DAV University, Jalandhar, India, and has worked on international projects. He has published papers in SCI/SCIE/Scopus-indexed journals and has presented many research papers at various national and international conferences in India and abroad. His areas of interest include cloud computing, fog computing, IoT, big data, and machine learning. He earned his doctoral degree at Thapar Institute of Engineering and Technology, Patiala, India, and also holds several specialized certifications, including like Microsoft Certified System Engineer (MCSE), Microsoft Certified Technology Specialist (MCTS), and Core Java. He has also undergone a training program for VB.Net and Cisco Certified Network Associates (CCNA). For more information, please visit: www.simarpreetsingh.com.

Arun Solanki is currently working as an assistant professor in the Department of Computer Science and Engineering, Gautam Buddha University, Greater Noida, India. He is also Co-Convener of the Center of Excellence in Artificial Intelligence. Dr. Solanki has worked as Time Table Coordinator, member examination, admission, sports council, digital information cell, and other university teams from time to time. He has received his M.Tech Degree in computer engineering from YMCA University, Faridabad, Haryana, India. He has received his Ph.D. in computer science and engineering from Gautam Buddha University in 2014. He has supervised more than 70 M.Tech dissertations. Currently, he is guiding 5 Ph.D. students in the area of artificial intelligence. His research interests span expert systems, machine learning, and search engines. He has published more than 70 research articles in SCI/Scopus-indexed international journals/conferences like IEEE, Elsevier, Springer, etc. He has physically participated in many national and international conferences. He has been a technical and advisory committee member of many international conferences. He has organized several FDP, conferences, workshops, and seminars. He has chaired many sessions at international conferences. He is working as Associate Editor in International Journal of Web-Based Learning and Teaching Technologies (IJWLTT) (Scopus indexed). He worked as Guest Editor for special issues in Recent Patents on Computer Science.

作者簡介(中文翻譯)

Simar Preet Singh 是印度北方邦大諾伊達班奈特大學計算機科學工程與技術學院的副教授。他曾在印度法格瓦拉的GNA大學和阿吉特加爾的昌迪加爾工程學院任職。他還曾在Infosys Limited和印度賈蘭達爾的DAV大學工作,並參與過國際項目。他在SCI/SCIE/Scopus索引的期刊上發表過論文,並在印度及國外的各種國內和國際會議上發表了多篇研究論文。他的研究興趣包括雲計算、霧計算、物聯網、大數據和機器學習。他在印度帕提亞拉的Thapar工程技術學院獲得博士學位,並擁有多項專業認證,包括微軟認證系統工程師(MCSE)、微軟認證技術專家(MCTS)和核心Java。他還參加過VB.Net和思科認證網路工程師(CCNA)的培訓計劃。欲了解更多信息,請訪問:www.simarpreetsingh.com。

Arun Solanki 目前在印度大諾伊達的高達佛大學計算機科學與工程系擔任助理教授。他同時也是人工智慧卓越中心的共同召集人。Solanki博士曾擔任時間表協調員、考試委員會成員、招生委員會成員、體育委員會成員、數位資訊小組及其他大學團隊的成員。他在印度哈里亞納邦法里達巴德的YMCA大學獲得計算機工程碩士學位,並於2014年在高達佛大學獲得計算機科學與工程博士學位。他已指導超過70篇碩士論文,目前正在指導5名人工智慧領域的博士生。他的研究興趣涵蓋專家系統、機器學習和搜尋引擎。他在SCI/Scopus索引的國際期刊/會議上發表了超過70篇研究文章,如IEEE、Elsevier、Springer等。他實際參加了許多國內和國際會議,並擔任過多個國際會議的技術和諮詢委員會成員。他組織了多個FDP、會議、工作坊和研討會,並在國際會議上主持了多個會議。他在International Journal of Web-Based Learning and Teaching Technologies (IJWLTT)(Scopus索引)擔任副編輯,並曾擔任Recent Patents on Computer Science特刊的客座編輯。