{"id":2541,"date":"2015-01-06T14:47:08","date_gmt":"2015-01-06T14:47:08","guid":{"rendered":"https:\/\/arahne.org\/new\/\/?p=2541"},"modified":"2018-08-09T07:07:10","modified_gmt":"2018-08-09T07:07:10","slug":"how-to-spot-a-genuine-newcomer-in-politics","status":"publish","type":"post","link":"https:\/\/arahne.org\/zh\/how-to-spot-a-genuine-newcomer-in-politics\/","title":{"rendered":"How to spot a genuine newcomer in politics?"},"content":{"rendered":"<p>In turbulent times, people get tired of established parties and prefer \u201cnew faces\u201d.<br \/>\nBut how can you know, if the new candidate is really new? We can use our knowledge of textiles and mathematics.<br \/>\nIf a candidate wears stripes on TV, he or she will look horrible due to Moir\u00e9 patterns, interference of fabric stripes and raster resolution of the camera. You can enjoy it in full motion on\u00a0<a href=\"https:\/\/www.youtube.com\/watch?v=jXEgnRWRJfg\" target=\"_blank\" rel=\"noopener\">this youtube video<\/a>.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"\/wp-content\/uploads\/configuarator\/moiree00.jpg\" alt=\"moiree00\" width=\"637\" height=\"469\" \/><\/p>\n<p>In textile CAD system, we have to work hard to avoid Moir\u00e9 patterns. Threads of various colors, weaves and designs will always form stripes, which interfere with the pixel resolution of the screen or printer. On top of that, we wish to zoom in and out of the fabric, to get overview of the whole design. In same cases Moir\u00e9 patterns are unavoidable. But in other cases, they can be avoided. In the latest version of ArahWeave, CAD for textile design, we have studied many advanced mathematical approaches to solve this problem:<\/p>\n<ul>\n<li><a href=\"http:\/\/en.wikipedia.org\/wiki\/Monte_Carlo_method\" target=\"_blank\" rel=\"noopener\">Monte Carlo method<\/a><\/li>\n<li><a href=\"http:\/\/en.wikipedia.org\/wiki\/Van_der_Corput_sequence\" target=\"_blank\" rel=\"noopener\">Van der Corupt sequence<\/a><\/li>\n<li><a href=\"http:\/\/en.wikipedia.org\/wiki\/Halton_sequence\" target=\"_blank\" rel=\"noopener\">Halton sequence<\/a><\/li>\n<li><a href=\"http:\/\/en.wikipedia.org\/wiki\/Sobol_sequence\" target=\"_blank\" rel=\"noopener\">Sobol sequence<\/a><\/li>\n<li><a href=\"http:\/\/en.wikipedia.org\/wiki\/Supersampling\" target=\"_blank\" rel=\"noopener\">Supersampling<\/a><\/li>\n<\/ul>\n<p>We have greatly improved over our previous results.<br \/>\nOn the left, you see a tapestry weave colored in yarn colors, and on the right, you see just the black and white weave card (black \u2013 warp up, white \u2013 weft up). Tapestry weave is very big, 11492&#215;4662, and we wish to make a precise and accurate fabric simulation, zoomed out 16 times.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"\/wp-content\/uploads\/configuarator\/moiree01.png\" alt=\"moiree01\" width=\"751\" height=\"451\" \/><\/p>\n<p>On the left, you have our previous simulation, full of unwanted Moir\u00e9 patterns, and on the right, the new one.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"\/wp-content\/uploads\/configuarator\/moiree02.png\" alt=\"moiree02\" width=\"751\" height=\"453\" \/><br \/>\nFabric courtesy of\u00a0<a href=\"http:\/\/www.purecountry.com\/\" target=\"_blank\" rel=\"noopener\">Pure Country Weavers<\/a>.<\/p>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"\/wp-content\/uploads\/configuarator\/moiree03.png\" alt=\"moiree03\" width=\"663\" height=\"533\" \/><br \/>\nFabric courtesy of\u00a0<a href=\"http:\/\/www.purecountry.com\/\" target=\"_blank\" rel=\"noopener\">Pure Country Weavers<\/a>.<\/p>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"\/wp-content\/uploads\/configuarator\/moiree04.png\" alt=\"moiree04\" width=\"751\" height=\"447\" \/><br \/>\nFabric courtesy of\u00a0<a href=\"http:\/\/www.munichfabricstart.com\/exhibitor\/public\/en\/premium\/profile\/ex\/2284\" target=\"_blank\" rel=\"noopener\">Tessilbiella<\/a>.<\/p>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"\/wp-content\/uploads\/configuarator\/moiree06.png\" alt=\"moiree06\" width=\"756\" height=\"359\" \/><br \/>\nFabric courtesy of\u00a0<a href=\"http:\/\/www.danzotex.it\/\" target=\"_blank\" rel=\"noopener\">Danzo \u8bbe\u8ba1<\/a>.<\/p>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"\/wp-content\/uploads\/configuarator\/moiree05.png\" alt=\"moiree05\" width=\"419\" height=\"445\" \/><br \/>\nFabric courtesy of\u00a0<a href=\"http:\/\/www.danzotex.it\/\" target=\"_blank\" rel=\"noopener\">Danzo \u8bbe\u8ba1<\/a>.<\/p>\n<p>&nbsp;<\/p>\n<p>Now we can use ArahWeave to generate very accurate fabric simulations for use in catalogs or e-commerce web sites, based on production data (jacquard card file), not on product photos.<br \/>\nHow can we apply our expertise in Moir\u00e9 patterns on politics?<br \/>\nIf your preferred political candidate appears perfect, speaks smoothly, just what you want to hear, and never wears stripes for TV confrontation, don&#8217;t trust that person. He or she has been planted by the \u201cold forces\u201d, trained by spin doctors and fashion advisers. They will show their true colors, once elected.<\/p>","protected":false},"excerpt":{"rendered":"<p>In turbulent times, people get tired of established parties and prefer \u201cnew faces\u201d. But how can you know, if the new candidate is really new? We can use our knowledge of textiles and mathematics. If a candidate wears stripes on TV, he or she will&#8230;<\/p>","protected":false},"author":1,"featured_media":2549,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[32],"tags":[],"class_list":["post-2541","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"acf":[],"_links":{"self":[{"href":"https:\/\/arahne.org\/zh\/wp-json\/wp\/v2\/posts\/2541","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/arahne.org\/zh\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/arahne.org\/zh\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/arahne.org\/zh\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/arahne.org\/zh\/wp-json\/wp\/v2\/comments?post=2541"}],"version-history":[{"count":0,"href":"https:\/\/arahne.org\/zh\/wp-json\/wp\/v2\/posts\/2541\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/arahne.org\/zh\/wp-json\/wp\/v2\/media\/2549"}],"wp:attachment":[{"href":"https:\/\/arahne.org\/zh\/wp-json\/wp\/v2\/media?parent=2541"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/arahne.org\/zh\/wp-json\/wp\/v2\/categories?post=2541"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/arahne.org\/zh\/wp-json\/wp\/v2\/tags?post=2541"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}