pp. 3505-3514
S&M4133 Technical paper of Special Issue https://doi.org/10.18494/SAM5533 Published: August 18, 2025 Exploring the Feasibility Assessment of Sensor Applications for Artificial Intelligence of Things Technology [PDF] Shih-Fu Sung, I-Ling Ju, and Shiu-Chen Lee (Received January 1, 2025; Accepted August 1, 2025) Keywords: Internet of Things (IoT), sensors, smart home
With the widespread adoption of the Internet and 5G technology, the development of the Internet of Things (IoT) has rapidly expanded from industrial applications to smart homes. IoT technologies and sensors can be widely deployed in factories, warehouses, schools, hospitals, and households to improve quality of life and provide early disaster warnings. In this study, we aim to analyze IoT technologies and assess the feasibility of sensor applications, including the use of Power over Ethernet (PoE) cameras, electronic fencing systems, and environmental monitoring networks based on optical fiber. A quantitative research approach employing SPSS 20.0 and AMOS software is used to examine the impact relationships and evaluate the feasibility of integrating sensor data into smart regional monitoring systems.
Corresponding author: I-Ling Ju![]() ![]() This work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Shih-Fu Sung, I-Ling Ju, and Shiu-Chen Lee, Exploring the Feasibility Assessment of Sensor Applications for Artificial Intelligence of Things Technology, Sens. Mater., Vol. 37, No. 8, 2025, p. 3505-3514. |