{"id":9681,"date":"2026-08-05T21:52:58","date_gmt":"2026-08-05T13:52:58","guid":{"rendered":"\/jase\/?post_type=tkuisotope&p=9681"},"modified":"2026-08-06T23:02:36","modified_gmt":"2026-08-06T15:02:36","slug":"jase-202611-34-011","status":"publish","type":"tkuisotope","link":"\/jase\/?tkuisotope=jase-202611-34-011","title":{"rendered":"The Role of Analog-to-Digital Converter Based Mechanical Data Acquisition for Mineral Geological Exploration"},"content":{"rendered":"\n
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<\/i> 2026<\/a><\/p>\n<\/div>\n\n\n\n

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<\/i> Volume 34<\/a><\/p>\n<\/div>\n\n\n\n

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Zhongxiao Wei<\/i><\/a><\/p>\n\n\n\n

Hebi Automobile Engineering Professional College, Hebi 458030, China<\/p>\n<\/div>\n\n\n\n

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Received: July 08, 2026
Accepted: July 29, 2026
Publication Date: August 05, 2026<\/p>\n<\/div>\n<\/div>\n\n\n\n

\"\u4e0a\u50b3\u5716\u7247\"\n\n\n

Hardware transmission system for WSNs with multimode multiplexing<\/p>\n<\/div>\n<\/div>\n\n\n\n

<\/i> Copyright <\/strong>The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0)<\/a>, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.<\/p>\n\n\n\n

Download Citation:\u00a0 BibTeX <\/a>| http:\/\/dx.doi.org\/10.6180\/jase.202611_34.011<\/a>\u00a0\u00a0<\/p>\n\n\n\n

Download PDF<\/a><\/p>\n\n\n\n

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Mineral geological exploration requires mechanical data to be collected and analyzed. To process these data effectively, the mechanical data acquisition method based on analog-to-digital converter is adopted in the experiment and optimized. In the experiment, integrated empirical modal decomposition is used for noise reduction processing of data signals, and convolutional neural network is used for feature identification and classification processing of data. After performance validation, for the Analog-to-digital Converter (ADC) based mechanical data acquisition method, the amplitude error between the standard signal and the test signal is between 0.7% and 3.1%, and the frequency error is from 0.05% to 0.30%. After optimization, the proposed method has the lowest final loss value of 0.075. it has the highest accuracy of 99.2%. Also, the proposed method has the lowest Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE) values among all models with 0.38% and 0.094% respectively. In conclusion, the proposed method can effectively process the mechanical acquisition data in mineral geological exploration, which is favorable to the application of ADC-based mechanical data acquisition method in mineral geological exploration<\/p>\n\n\n\n

Keywords: ADC; Data acquisition; Geological exploration; Wireless Sensor Networks; Ensemble Empirical Mode Decomposition; Convolutional Neural Networks; Mineral products<\/em><\/p>\n\n\n\n

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    <\/p>\n","protected":false},"author":3,"template":"wp-custom-template-detail-4-aricles","meta":{"_uag_custom_page_level_css":""},"categories":[12,1682,6],"tags":[1693],"acf":[],"uagb_featured_image_src":[],"uagb_author_info":{"display_name":"\u6797\u923a\u6db5","author_link":"\/jase\/?author=3"},"uagb_comment_info":0,"uagb_excerpt":" Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited. Download Citation:\u00a0 BibTeX | http:\/\/dx.doi.org\/10.6180\/jase.202611_34.011\u00a0\u00a0 Download PDF Mineral geological exploration requires mechanical data to be collected and analyzed.…","_links":{"self":[{"href":"\/jase\/index.php?rest_route=\/wp\/v2\/tkuisotope\/9681"}],"collection":[{"href":"\/jase\/index.php?rest_route=\/wp\/v2\/tkuisotope"}],"about":[{"href":"\/jase\/index.php?rest_route=\/wp\/v2\/types\/tkuisotope"}],"author":[{"embeddable":true,"href":"\/jase\/index.php?rest_route=\/wp\/v2\/users\/3"}],"wp:attachment":[{"href":"\/jase\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=9681"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"\/jase\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=9681"},{"taxonomy":"post_tag","embeddable":true,"href":"\/jase\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=9681"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}