Sensors, Devices and Systems: Proceedings of Sdas 2025, Volume 1
暫譯: 感測器、裝置與系統:2025年SDAS會議論文集,第1卷

Bazilo, Constantine, Bondarenko, Maksym, Faure, Emil

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商品描述

This book presents an integrated overview of modern sensor technologies and intelligent measurement systems. It combines research on digital signal processing, distributed IIoT architectures, embedded systems, and cybersecurity for resource-limited nodes. Such integration enhances accuracy, interference resistance, scalability, and computational efficiency, improving monitoring and diagnostic performance. A key focus is the convergence of sensors with artificial intelligence and machine learning, enabling multichannel data analysis, anomaly detection, and predictive maintenance through digital twins and adaptive algorithms. This approach ensures high diagnostic sensitivity, reliability, and autonomous real-time decision-making in industrial and technical systems. The book also covers developments in microelectronics, MEMS, and robotics, from material design and metrological validation to embedded implementation. Advanced transducers and actuators increase energy efficiency and interface compatibility. Contributions on biomedical, optoelectronic, photonic, energy, and environmental sensors highlight improved precision and integration with IoT analytics, confirming the vital role of sensor technologies in medicine, energy, and sustainability. The book is of interest to experts in the field of automation, computer integrated technologies, robotics, and related spheres, as well as scientists, and Ph.D. students.

商品描述(中文翻譯)

本書提供了現代感測器技術和智能測量系統的綜合概述。它結合了數位信號處理、分散式工業物聯網(IIoT)架構、嵌入式系統和針對資源有限節點的網路安全研究。這種整合提高了準確性、抗干擾能力、可擴展性和計算效率,改善了監控和診斷性能。本書的重點之一是感測器與人工智慧(AI)和機器學習的融合,通過數位雙胞胎和自適應演算法實現多通道數據分析、異常檢測和預測性維護。這種方法確保了工業和技術系統中的高診斷靈敏度、可靠性和自主實時決策能力。本書還涵蓋了微電子學、微機電系統(MEMS)和機器人技術的發展,從材料設計和計量驗證到嵌入式實現。先進的傳感器和執行器提高了能源效率和介面相容性。關於生物醫學、光電、光子、能源和環境感測器的貢獻突顯了與物聯網分析的精確度和整合性,確認了感測器技術在醫療、能源和可持續性中的重要角色。本書對自動化、計算機整合技術、機器人技術及相關領域的專家、科學家和博士生均具有吸引力。