Semi-physical Verification Technology for Dynamic Performance of Internet of Things System
暫譯: 物聯網系統動態性能的半物理驗證技術
Xiaolei Yu, Donghua Wang, Zhimin Zhao
商品描述
This book combines semi-physical simulation technology with an Internet of Things (IOT) application system based on novel mathematical methods such as the Fisher matrix, artificial neural networks, thermodynamic analysis, support vector machines, and image processing algorithms. The dynamic testing and semi-physical verification of the theory and application were conducted for typical IOT systems such as RFID systems, Internet of Vehicles systems, and two-dimensional barcode recognition systems. The findings presented are of great scientific significance and have wide application potential for solving bottlenecks in the development of RFID technology and IOT engineering. The book is a valuable resource for postgraduate students in fields such as computer science and technology, control science and engineering, and information science. Moreover, it is a useful reference resource for researchers in IOT and RFID-related industries, logistics practitioners, and system integrators.
商品描述(中文翻譯)
本書結合了半物理模擬技術與基於新穎數學方法的物聯網 (Internet of Things, IOT) 應用系統,這些方法包括費雪矩陣 (Fisher matrix)、人工神經網絡 (artificial neural networks)、熱力學分析 (thermodynamic analysis)、支持向量機 (support vector machines) 和影像處理演算法 (image processing algorithms)。針對典型的 IOT 系統,如 RFID 系統、車聯網 (Internet of Vehicles) 系統和二維條碼識別系統,進行了理論與應用的動態測試和半物理驗證。所呈現的研究結果具有重大的科學意義,並對解決 RFID 技術和 IOT 工程發展中的瓶頸問題具有廣泛的應用潛力。本書是計算機科學與技術、控制科學與工程以及資訊科學等領域研究生的寶貴資源。此外,它也是物聯網和 RFID 相關產業研究人員、物流從業人員和系統整合商的有用參考資源。