Zobrazeno 1 - 10
of 389
pro vyhledávání: '"sensor monitoring"'
Autor:
Lu Lu, Yongtang Yuan, Yongkang Xie, Shangqin Yuan, Jingwen Song, Han Luo, Yamin Li, Jihong Zhu, Weihong Zhang
Publikováno v:
Virtual and Physical Prototyping, Vol 19, Iss 1 (2024)
Additive manufacturing (AM) are an emerging technique to generate complex structures of composite. However, the instability of the AM process leads to adverse manufacturing effects, including dimensional inaccuracies and poor mechanical performance i
Externí odkaz:
https://doaj.org/article/d19359e8ec6748419211edbb869acb26
Publikováno v:
Data in Brief, Vol 55, Iss , Pp 110703- (2024)
Real-time monitoring of milling parameters is essential to improve machining efficiency and quality, especially for the workpieces with complex geometry. Its main task is to build the relationship between the parameters and the monitoring data. As th
Externí odkaz:
https://doaj.org/article/3c3309bc0752483284ea25cfab7ec12c
Publikováno v:
IEEE Access, Vol 12, Pp 116516-116529 (2024)
Due to the rapid development of technologies such as cloud computing and the Internet of Things (IoT), wireless sensor networks are becoming increasingly popular in the field of environmental monitoring. Anomaly detection algorithm is often used as t
Externí odkaz:
https://doaj.org/article/3f51089497b64031bfea87579083923d
Autor:
Beixian Wu, Chunjie Chen, Sheng Wang, Hui Chen, Zhuo Wang, Yao Liu, Tingwei He, Jiale Zhang, Xinyu Wu
Publikováno v:
Biosensors, Vol 14, Iss 9, p 418 (2024)
Soft exosuits have emerged as potent assistive tools for walking support and rehabilitation training. However, most existing soft exosuit systems rely on preset assistance modes, which may not accurately align with individual physiological states and
Externí odkaz:
https://doaj.org/article/d0fdb4bc97394e4e82343d6e71e35656
Publikováno v:
Machines, Vol 12, Iss 5, p 305 (2024)
To solve the problem of fault diagnosis for the key components of the CNC machine feed system under the condition of variable speed conditions, an intelligent fault diagnosis method based on multi-domain feature extraction and an ensemble learning mo
Externí odkaz:
https://doaj.org/article/47bfddab28684f15bcd251b8244de111
Autor:
Wahyu Budiman
Publikováno v:
JITCE (Journal of Information Technology and Computer Engineering), Vol 6, Iss 02 (2023)
This system aims to make it easier for owners to monitor the condition of the koi pond, and minimize the death of koi fish, and can maintain water quality and maximize koi growth and development. Therefore, a system was created that can monitor the d
Externí odkaz:
https://doaj.org/article/3a05e915f2ed4f379648d8c433cee159
Publikováno v:
Sensors, Vol 24, Iss 3, p 994 (2024)
The Structural Health Monitoring (SHM) of pavement infrastructures holds paramount significance in the assessment and prognostication of the remaining service life of roadways. In response to this imperative, a methodology for surveilling the surface
Externí odkaz:
https://doaj.org/article/2f0e4c369776463e8e8bccb3470ea8db
Akademický článek
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Akademický článek
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Autor:
Jing Bao
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2022, Iss 1, Pp 1-21 (2022)
Abstract With the continuous increase in social pressure and people’s higher urgency for physical health, the concept of healthy physical fitness has become more and more important and prominent. However, the research and standards for the validity
Externí odkaz:
https://doaj.org/article/c42b352e0bac45c79f861bd86eba322d