Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3165
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 317
Function: require_once
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Vibration isolation systems frequently face challenges in varying environments due to their inherent resonance effects and responsive delays. Here, we report an intelligent excitation-adaptative vibration isolation (IEA-VI) architecture that mimics the biological adaptive mechanism of human muscle, enabling real-time stiffness adjustment to mitigate variable environmental impacts through sensing, processing, and controlling modules. The IEA-VI system operates in high-static-low-dynamic-stiffness and high-dynamic-stiffness modes, capable of intelligent on-demand mode switching. We develop a real-time frequency perception algorithm to quickly perceive excitation frequencies, enabling the system to perform rapid mode-switching and thus achieve real-time full-spectrum vibration control. We design and fabricate a proof-of-concept IEA-VI system and theoretically and experimentally demonstrate that the system's frequency perception is approximately 10 times faster than that achieved with the commonly used Fast Fourier Transform at low frequencies. Meanwhile, the system effectively mitigates resonance and delivers high-performance vibration isolation through intelligent real-time mode switching.
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Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12332135 | PMC |
http://dx.doi.org/10.1038/s44172-025-00486-3 | DOI Listing |