{"id":2428,"date":"2021-07-14T09:30:00","date_gmt":"2021-07-14T07:30:00","guid":{"rendered":"http:\/\/cirpicme.org\/?page_id=2428"},"modified":"2021-07-13T18:57:02","modified_gmt":"2021-07-13T16:57:02","slug":"human-intelligence-driven-signal-processing-for-smart-manufacturing","status":"publish","type":"page","link":"https:\/\/cirpicme.org\/index.php\/biological-transformation-sustainability\/human-intelligence-driven-signal-processing-for-smart-manufacturing\/","title":{"rendered":"Human intelligence-driven signal processing for smart manufacturing"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><em>by <em>AMM Sharif Ullah, Doriana D&#8217;Addona<\/em><\/em> <em>(Japan, Italy)<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Abstract<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Signal processing involves analog-to-digital conversion, extraction of the relevant segment of signal, and feature extraction in time and frequency domains. The extracted features are used for monitoring and other purposes. While extracting features, human intelligence can be incorporated as straightforwardly as possible. This allows exercising bio-intelligence which is one of the facets of the bbiologicalisation of manufacturing. This study presents a knowledge chain consisting of creative, inductive, and deductive knowledge. This chain straightforwardly engages human intelligence while processing chaotic signals. The chain can process manufacturing process-relevant signals (torque, force, and surface roughness) with the required speed needed for building cyber-physical systems.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Keywords<\/strong>: Biological transformation, Bio-intelligence, Manufacturing process relevant signals, Chaotic signals<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Video presentation<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-video\"><video height=\"1080\" style=\"aspect-ratio: 1920 \/ 1080;\" width=\"1920\" controls src=\"http:\/\/cirpicme.org\/wp-content\/uploads\/2021\/07\/amm-sharif-ullah-special-session.mp4\"><\/video><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Presenting author<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table class=\"has-subtle-light-gray-background-color has-background\"><tbody><tr><td><\/td><td><\/td><td><\/td><\/tr><tr><td><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"153\" class=\"wp-image-2087\" style=\"width: 150px;\" src=\"https:\/\/i0.wp.com\/cirpicme.org\/wp-content\/uploads\/2021\/07\/amm_sharif_ullah.jpg?resize=150%2C153\" alt=\"\" srcset=\"https:\/\/i0.wp.com\/cirpicme.org\/wp-content\/uploads\/2021\/07\/amm_sharif_ullah.jpg?w=270&amp;ssl=1 270w, https:\/\/i0.wp.com\/cirpicme.org\/wp-content\/uploads\/2021\/07\/amm_sharif_ullah.jpg?resize=147%2C150&amp;ssl=1 147w\" sizes=\"auto, (max-width: 150px) 100vw, 150px\" \/><\/td><td><strong>Name:<\/strong><br><br><strong>Affiliation:<\/strong><br><br><strong>Email:<\/strong><\/td><td>AMM Sharif Ullah<br><br>Kitami Institute of Technology, Japan<br><br>ullah@mail.kitami-it.ac.jp<\/td><\/tr><tr><td><\/td><td><\/td><td><\/td><\/tr><\/tbody><\/table><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>by AMM Sharif Ullah, Doriana D&#8217;Addona (Japan, Italy) Abstract Signal processing involves analog-to-digital conversion, extraction of the relevant segment of signal, and feature extraction in time and frequency domains. The extracted features are used for monitoring and other purposes. While extracting features, human intelligence can be incorporated as straightforwardly as&#8230;<\/p>\n<p> <a class=\"continue-reading-link\" href=\"https:\/\/cirpicme.org\/index.php\/biological-transformation-sustainability\/human-intelligence-driven-signal-processing-for-smart-manufacturing\/\"><span>Continue reading<\/span><i class=\"crycon-right-dir\"><\/i><\/a> <\/p>\n","protected":false},"author":4,"featured_media":0,"parent":2360,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"nf_dc_page":"","om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-2428","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/pages\/2428","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/comments?post=2428"}],"version-history":[{"count":2,"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/pages\/2428\/revisions"}],"predecessor-version":[{"id":2538,"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/pages\/2428\/revisions\/2538"}],"up":[{"embeddable":true,"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/pages\/2360"}],"wp:attachment":[{"href":"https:\/\/cirpicme.org\/index.php\/wp-json\/wp\/v2\/media?parent=2428"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}