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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Accurate emissivity assessment is crucial for real temperature measurements using remote sensing methods and infrared signature modeling. This study introduces a novel method, to our knowledge, for determining the emissivity of materials. Samples were stabilized at 343.15 K in a temperature-controlled scientific chamber, and the emitted infrared radiation was measured using a hyperspectral infrared imaging camera and a broadband longwave infrared imaging camera, covering the wavelength ranges of 3.5-5.5 µm and 7.5-14 µm, respectively. The novelty of this approach is the integration of an infrared mirror and a blackbody within the chamber, which reduces ambient interaction effects on the emissivity measurement. This method was applied to material samples, including aluminum (6061), copper, steel (316), and plastic (PA66 GF30), with results compared to those from a previously established method and available literature data.
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http://dx.doi.org/10.1364/AO.550393 | DOI Listing |