Technology Innovation Pillars for Industry 4.0 : Challenges, Improvements, and Case Studies (Intelligent Manufacturing and Industrial Engineering)

個数:

Technology Innovation Pillars for Industry 4.0 : Challenges, Improvements, and Case Studies (Intelligent Manufacturing and Industrial Engineering)

  • 提携先の海外書籍取次会社に在庫がございます。通常3週間で発送いたします。
    重要ご説明事項
    1. 納期遅延や、ご入手不能となる場合が若干ございます。
    2. 複数冊ご注文の場合は、ご注文数量が揃ってからまとめて発送いたします。
    3. 美品のご指定は承りかねます。

    ●3Dセキュア導入とクレジットカードによるお支払いについて
  • 【入荷遅延について】
    世界情勢の影響により、海外からお取り寄せとなる洋書・洋古書の入荷が、表示している標準的な納期よりも遅延する場合がございます。
    おそれいりますが、あらかじめご了承くださいますようお願い申し上げます。
  • ◆画像の表紙や帯等は実物とは異なる場合があります。
  • ◆ウェブストアでの洋書販売価格は、弊社店舗等での販売価格とは異なります。
    また、洋書販売価格は、ご注文確定時点での日本円価格となります。
    ご注文確定後に、同じ洋書の販売価格が変動しても、それは反映されません。
  • 製本 Hardcover:ハードカバー版/ページ数 166 p.
  • 言語 ENG
  • 商品コード 9781032478395
  • DDC分類 303.483

Full Description

Technology Innovation Pillars for Industry 4.0: Challenges, Improvements, and Case Studies discusses the latest innovations in the application of technologies to Industry 4.0 and the nine pillars and how they relate, support, and bridge the gap between the digital and physical worlds we now live in.

This book discusses each of the nine pillars and the roles they play in the rapid transformation of the design and operation, and offers applications and case studies supporting Industry 4.0 technologies. It presents the supply chain organizational activities utilizing cyber- physical systems architectures and talks about the advantages of intelligent manufacturing and the ability to proactively detect and respond to events, to improve quality and yield, reduce downtime, and lead to better overall equipment effectiveness among other advantages in smart factory operations.

This reference book provides a great resource for undergraduate and graduate students, industrial and manufacturing engineers, and engineers of related disciplines along with business professionals, explaining what the nine pillars are and how they relate to Industry 4.0 and smart factories.

Contents

1. Role of Artificial Intelligence in Telecommunication Systems: A Healthcare Perspective. 2. An Intelligent System Utilizing Bipolar Fuzzy Logic for Ensuring Semantic Interoperability and Privacy Preservation in Healthcare Systems. 3. Graph Optimizations in Neural Networks by ONNX Model. 7.Convolutional Neural Network Architecture for Accurate Plant Classification. 5. Big Data Visualizing with Augmented and Virtual Reality: Challenges and Research Agenda. 6. Mathematical Model for Service-Selection Optimization and Scheduling in Cloud Manufacturing Using Sub-Task Scheduling With Fuzzy Inference Rule. 7. Social Media Initiatives through IoT to Link the Bridge between Industrial Demands with Higher Education Millennial Students through Experience Learning. 8. Analyzing Consumer Product Feedback Dynamics with Confidence Intervals. 9. Amplifying the Effectiveness of a Learning Management System: Exploring the Impact of NEP-Compliant Curriculum Changes on Higher Education Institutions. 10. The Future of Immersive Experience: Exploring Metaverse Application Development Technologies and Tools.

最近チェックした商品