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Market Scenario The worldwide Mixed Reality Market Companies size is assumed to develop at least 43.28% CAGR. The vast expansion of Mixed Reality Market Companies size is the rising investments in various innovations. The term Mixed Reality Market Companies refers to a concentrated market that includes various major business organizations worldwide. The Mixed Reality Market Companies is the merging of virtual and real worlds that are established to develop new environments and visualizations in which physical and digital objects and their information can interact and co-exist. The Mixed Reality Market Companies displays various images on semi-transparent materials and uses a projector. After that, the photos get reflected in the human eye with the assistance of extensive beam-splitting techniques. The consumer demand for Mixed Reality Market Companies is predicted to observe substantial growth over the projected period. Throughout the study era, North America was projected to dominate the mixed-reality industry led by Europe. Market development is driven by the relatively high acceptance of mixed reality products in North America and the introduction of innovative mixed reality devices by primary players in this market. The virtual reality market is strongly affected by the growing demand for AR / VR head-mounted displays in the gaming and entertainment industry and app creation as well as hardware modules for immersive user experience. Conversely, the limited battery life and image latency issues in mixed reality devices can disrupt market growth. Request a Free Sample @ https //www.marketresearchfuture.com/sample_request/1766 Competitive Outlook Sony Corporation, Accenture PLC, Facebook Inc., HTC Corporation, Microsoft Corporation, Seiko Epson Corporation, Google LLC, Magic Leap, Inc, Intel Corporation, and Samsung Electronics Co., Ltd are key players of the global Mixed Reality Market Companies. Segmentation Hardware that includes processors, sensors, displays, input devices, power units, and software. Software includes Custom Software and Out-of-Box Software The hardware segment in the research study is expected to dominate the market during the forecast period owing to a rise in the number of mixed reality hardware. Regional Analysis Mixed Reality Market Companies, by region, has been segmented into Asia-Pacific, North America, Europe, and the Middle East Africa, and South America. In North America, increasing penetration of AR VR devices for mixed reality devices is fueling the market growth of the Mixed Reality Market Companies. Furthermore, the presence of key players such as Microsoft Corporation, Intel Corporation, Magic Leap, Inc., and Google, Inc. are expected to fuel the among market growth in this region. The US dominates the market in North America followed by Canada. Asia-Pacific is expected to hold a significant share in the market. Japan is expected to dominate the Asia-Pacific Mixed Reality Market Companies, followed by China, during the forecast period. North America has been anticipated to lead the Mixed Reality Market Companies during the study period, followed by Europe. Significantly high adoption of mixed reality products in North America and the launch of advanced mixed reality products by key players in this region are contributing to the market growth. Browse Full Report Details @ https //www.marketresearchfuture.com/reports/mixed-reality-market-1766 Table of Contents 1Executive Summary 2Scope of the Report 2.1Market Definition 2.2Scope of the Study 2.2.1Research objectives 2.2.2Assumptions Limitations 2.3Markets Structure List of Tables Table1 North America Mixed Reality Market Companies, By Country Table2 North America Mixed Reality Market Companies, By Component Table3 North America Mixed Reality Market Companies, By Product Continued… List of Figures FIGURE 1 Global Mixed Reality Segmentation FIGURE 2 Forecast Methodology FIGURE 3 Porter’s Five Forces Analysis Of Global Mixed Reality Market Companies Continued… Similar Report** Content Delivery Network Market 5G Base Station Market https //ict268262635.wordpress.com/2022/04/06/b2b-telecommunication-market-major-application-third-party-usage-micro-market-pricing-analysis-and-geographical-analysis-forecast-to-2030/ https //ict268262635.wordpress.com/2022/04/06/digital-payment-in-healthcare-market-major-application-third-party-usage-micro-market-pricing-analysis-and-geographical-analysis-forecast-to-2030/ About Market Research Future Market Research Future (MRFR) has created a niche in the world of market research. It is counted among the top market research companies that offer well-researched and updated market research reports and insights to businesses of all sizes. What sets us apart is our super-responsive team that offers quality work keeping clients abridged of the prospective challenges and opportunities in various markets. Our team is adept in their space as well as patiently listens to every client. The best part is they know their work inside out and possess the expertise to guide the client in the right direction and achieve results on a tight deadline. We are a one-stop solution for all your data research needs. Our team does not believe in the “one size fits all” approach to creating a report that is detailed and concise. We handle 13 industry verticals including Healthcare, Chemicals and Materials, Information and Communications Technology, Semiconductor and Electronics, Energy and Power, Food, Beverages Nutrition, Automobile, Consumer and Retail, Aerospace and Defense, Industrial Automation and Equipment, Packaging Transport, Construction, and Agriculture. With our unique approach for every market report, we aim to reach the zenith in qualitative business intelligence and syndicated market research. Contact Market Research Future (Part of Wantstats Research and Media Private Limited) 99 Hudson Street, 5Th Floor New York, NY 10013 United States of America 1 628 258 0071 (US) 44 2035 002 764 (UK) Email sales@marketresearchfuture.com Website https //www.marketresearchfuture.com #market #research #industry #data #report #share #digital #gnews Plugin Error キーワードを入力してください。 #trend #future #analyis #industryreport #industrygrowth #demographic #strategy #manegment
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Market Scenario The growing demand for data protection and securement is increasing day today. This rising demand for protecting and safeguarding data will continue in future generations. These factors lead to the growth of various advanced data security center services. The rise in urbanization and industrialization leads to the development of big companies and e-commerce services. All these sectors are highly demanding for advanced data security systems. Therefore, to meet the public s ongoing requirement, different data centers are emerging in the market. The Hyper-Scale Data Center Market is one of the data securities markets that provides excellent data protection services. The Hyper-Scale Data Center Market is known for distributing and sharing huge data to a place where the required information can be easily accessed later through the internet. The hyper-scale data centers are used by cloud service providers and house cloud-based resources. These data centers even allow digital platforms for storing and effectively transferring data. The rise in awareness for cyber threats and privacy breaches accelerates the market. The business and IT professionals, those who are always worried about managing the huge amount of data, started investing in this market, which is propelling its growth. In the pandemic period, the markets that belonged to the IT sectors had mixed impacts, and the Hyper-Scale Data Center Market has shown a stable growth during the period because the requirement of data protection, management, and transferring has increased at a high rate. The use of cloud-based services even increased during the lockdown time. These factors had shown a positive impact on the market s growth rate. Due to the rise of widespread opportunities, the market is estimated to grow at a significate rate in the future years. The Hyper-Scale Data Center Market is estimated to reach a CAGR of 27 %, worth USD 96 Billion during the forecast period. Request a Free Sample @ https //www.marketresearchfuture.com/sample_request/3086 Competitive Outlook Prominent leaders in the market are Cavium (US), Intel Corporation (US), Dell Inc. (US), Hewlett Packard Enterprise Development LP (US), Cisco Systems Inc. (US), Broadcom Ltd. (US), Lenovo Group Ltd (China), IBM Corporation (US), Huawei Technologies Co. Ltd (China), Ericsson (Sweden), Quanta Computer Inc. (Taiwan), and more. Segmentation The Hyper-Scale Data Center Market is segmented based on type, solutions, and vertical. The type segment of the market is fragmented into enterprises, cloud providers, and colocation providers. The company needs to store and secure its data; therefore, a hyper-scale data center plays a major role in this process. The cloud providers include public clouds, manage private clouds, and offer on-demand computing components. The equipment, space, and bandwidth are provided under the collocation provider, and the solution segment includes software, storage, server, service, and others. The market is classified into energy utilities, government and defense, IT telecommunication, retail, BFSI, manufacturing, media and entertainment, healthcare, and others in the vertical segment. Regional Analysis According to the geographical status, the Hyper-Scale Data Center Market is distributed into different regions such as North America, Europe, and the Asia Pacific. Among these, North America holds the highest market share of the global market. This region is emerging due to the increase in investment in technological solutions; meanwhile, the Asia Pacific region to growing at a consistent rate during the forecast period. The market regions to propel the growth in the global level, especially due to the increased growth of IT infrastructure. Industry News According to the recent update, Extra by Airtel is all set to launch New 38 MW Hyperscale Data Center in Chennai, India. Browse Full Report Details @ https //www.marketresearchfuture.com/reports/hyper-scale-data-centers-market-3086 Table of Contents 1Executive Summary 2Scope of the Report 2.1Market Definition 2.2Scope of the Study 2.2.1Research objectives 2.2.2Assumptions Limitations 2.3Markets Structure Continued…. View Similar Report Mixed Reality Market Research Report https //writeonwall.com/mixed-reality-market-by-development-size-share-and-demand-opportunity-size-share-trend-intel-corporation-u-s-sony-corporation-japan/ Smart Glass Market https //writeonwall.com/smart-glass-market-by-development-size-share-and-demand-opportunity-size-share-key-manufacturers-drivers-value-and-foreseen-2027/ Passport Reader Market https //writeonwall.com/passport-reader-market-by-development-size-share-and-demand-opportunity-it-security-and-data-protection-analysis-forecast-to-2030/Antivirus Software Market By Type (PC and Phones/Pad), By Application (Enterprises, Individual and Government) About Market Research Future At Market Research Future (MRFR), we enable our customers to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research Consulting Services. Contact Market Research Future (Part of Wantstats Research and Media Private Limited) 99 Hudson Street, 5Th Floor New York, NY 10013 United States of America 1 628 258 0071 (US) 44 2035 002 764 (UK) Email sales@marketresearchfuture.com Website https //www.marketresearchfuture.com
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制限 DOM-HTML 限定。名前空間を認識しない。大文字・小文字の区別はテキトー。長さは px しか認識しない。 構文エラーからの回復はしない（構文エラー回復を含めた CSS パーサは別所を参照）。 1000 行以内を目指したが現状 1050 行。パックして 20kb ぐらい。 マッチング主体なので、ノードをかき集める速度は期待できない。 使用例 セレクタテスト var sapi = CSS_Selectors_and_MediaQueries_for_HTML_Browsers._selectors_group; // セレクタテストの生成。 var selector = sapi( body lang(ja) p#HOGE nth-child(2n+1) ); // テストしたい要素。 var target = document.getElementById( HOGE ); // テストを実行。this として all 配列を渡すと scope にマッチする。 var result = selector.call({ all [document.body] }, target); 戻り値は [[p, null], [body, null]] のように単純セレクタにマッチした要素の配列（または null）。セレクタとは逆順に入っており、0 番がセレクタ全体にマッチした要素。この例で null になっている部分は疑似要素を表すレンジ。例えば p before なら、p の最初の子の直前に位置するレンジになる。 セレクタを使って要素をかき集める簡便メソッド var applySelectors = CSS_Selectors_and_MediaQueries_for_HTML_Browsers.applySelectors; // body 以下で非表示の要素をかき集める。戻り値は配列。 var result = applySelectors( *[aria-hidden= true ] , document.body); メディアクエリテスト var mql = CSS_Selectors_and_MediaQueries_for_HTML_Browsers._media_query_list; // メディアクエリテストの生成。 var mediump = mql( only screen and (min-width 800px), screen and (min-color 16) ); // window をメディアグループ visual としてクエリテスト。戻り値は真偽値。 if (mediump.call({ ondefault function (e) { return true; } }, window, visual )) alert( OK ); this 値として ondefault ハンドラを渡すと、未知の特徴を処理できる。 メディアグループ interactive としてテストする簡便メソッド var matchesWindow = CSS_Selectors_and_MediaQueries_for_HTML_Browsers.matchesWindow; if (matchesWindow( (orientation portrait) , window)) alert( OK ); ソースコード var CSS_Selectors_and_MediaQueries_for_HTML_Browsers = new function () { /*@cc_on@*/ var h = [0-9a-f] ; var nonascii = [^\\u0000-\\u007F] ; var unicode = \\\\ + h + {1,6}(? \\r\\n|[\x20\\n\\r\\t\\f])? ; var num = (? [0-9]+|[0-9]*\\.[0-9]+) ; var nl = (? \\n|\\r\\n|\\r|\\f) ; var w = [\x20\\t\\r\\n\\f]* ; var s = [\x20\\t\\r\\n\\f]+ ; var comment = \\/\\*[^\*]*\\*+(? [^\/\*][^\*]*\\*+)*\\/ ; var escape = unicode + |\\\\[^\\n\\r\\f0-9A-Fa-f] ; var nmchar = (? [_0-9a-z-]| + nonascii + | + escape + ) ; var name = nmchar + + ; var nmstart = (? [_a-z]| + nonascii + | + escape + ) ; var ident = -? + nmstart + nmchar + * ; var string1 = \ (? [^\\n\\r\\f\\\\\ ]|\\\\ + nl + | + nonascii + | + escape + )*\ ; var string2 = \ (? [^\\n\\r\\f\\\\\ ]|\\\\ + nl + | + nonascii + | + escape + )*\ ; var string = (? + string1 + | + string2 + ) ; var invalid1 = \ (? [^\\n\\r\\f\\\\\ ]|\\\\ + nl + | + nonascii + | + escape + )* ; var invalid2 = \ (? [^\\n\\r\\f\\\\\ ]|\\\\ + nl + | + nonascii + | + escape + )* ; var invalid = (? + invalid1 + | + invalid2 + ) ; var url = (? [!#$% *-~]| + nonascii + | + escape + )* ; // var A = (? a|\\\\0{0,4}[46]1(? \\r\\n|[ \\t\\r\\n\\f])?) ; var D = (? d|\\\\0{0,4}[46]4(? \\r\\n|[ \\t\\r\\n\\f])?) ; var E = (? e|\\\\0{0,4}[46]5(? \\r\\n|[ \\t\\r\\n\\f])?) ; var L = (? l|\\\\0{0,4}[46]c(? \\r\\n|[ \\t\\r\\n\\f])?|\\\\l) ; var N = (? n|\\\\0{0,4}[46]e(? \\r\\n|[ \\t\\r\\n\\f])?|\\\\n) ; var O = (? o|\\\\0{0,4}[46]f(? \\r\\n|[ \\t\\r\\n\\f])?|\\\\o) ; var P = (? p|\\\\0{0,4}[57]0(? \\r\\n|[ \\t\\r\\n\\f])?|\\\\p) ; var R = (? r|\\\\0{0,4}[57]2(? \\r\\n|[ \\t\\r\\n\\f])?|\\\\r) ; var T = (? t|\\\\0{0,4}[57]4(? \\r\\n|[ \\t\\r\\n\\f])?|\\\\t) ; var U = (? u|\\\\0{0,4}[57]5(? \\r\\n|[ \\t\\r\\n\\f])?|\\\\u) ; var V = (? v|\\\\0{0,4}[57]6(? \\r\\n|[ \\t\\r\\n\\f])?|\\\\v) ; var X = (? x|\\\\0{0,4}[57]8(? \\r\\n|[ \\t\\r\\n\\f])?|\\\\x) ; var Y = (? y|\\\\0{0,4}[57]9(? \\r\\n|[ \\t\\r\\n\\f])?|\\\\y) ; // var S0 = w; var S1 = s; var INCLUDES = ~= ; var DASHMATCH = \\|= ; var PREFIXMATCH = \\^= ; var SUFFIXMATCH = \\$= ; var SUBSTRINGMATCH = \\*= ; var PLUS = w + \\+ ; var GREATER = w + ; var COMMA = w + , ; var TILDE = w + ~(?!=) ; var NOT = not\\( ; var STRING = string; var IDENT = ident; var HASH = # + name; var DIMENSION = num + ident; var PERCENTAGE = num + % ; var NUMBER = num; var URI = U + R + L + \\( + w + string + w + \\)| + U + R + L + \\( + w + url + w + \\) ; var FUNCTION = ident + \\( ; var s_unary_operator = PLUS + |- ; var s_hexcolor = HASH + S0; // var p_Sh = new RegExp( ^ + S1); var p_St = new RegExp(S1 + $ ); var f_trim = function (stringData) { return stringData.replace(p_Sh, ).replace(p_St, ); }; var p_escaped = /\\([0-9a-f]{1,6})(? \r\n|[\x20\n\r\t\f])?|\\([^\n\r\f0-9a-f])/gi; var f_unescape_replace = function (str, x, c) { if (x) { return String.fromCharCode(parseInt(x, 16)); // not accurate } return c; }; var f_unescape = function (stringData) { return stringData.replace(p_escaped, f_unescape_replace); }; // // css3-selectors var p_selector_type = new RegExp( ^(? ( + IDENT + (?=\\|)|\\*(?=\\|))?\\|)?( + IDENT + |\\*) , i ); var p_selector_subject = new RegExp; p_selector_subject.exec = function (stringData) { var src = stringData; var cmp; if ((cmp = p_selector_type.exec(src))) { // subject var res1 = []; var res2 = []; var code; var ns = cmp[1]; var ln = cmp[2]; if (!ns || ns === * ) { if (ln === * ) { code = return\x20n; ; } else { code = f_unescape(ln).replace(/\W/g, \\$ ); code = return\x20/^ + code + $/i.test(n.nodeName)?n null; ; } res2[res2.length] = code; cmp = cmp[0]; res1[res1.length] = cmp; } else { throw new Error( Namespace is not supported ); } return [].concat(res1.join( ), res2); } return null; }; // var p_selector_ID = new RegExp( ^#( + name + ) , i ); var p_selector_class = new RegExp( ^\\.( + IDENT + ) , i ); var p_selector_attrib = new RegExp( \\[ + S0 + (( + IDENT + (?=\\|)|\\*(?=\\|))?\\|)?( + IDENT + ) + S0 + (? ( + PREFIXMATCH + | + SUFFIXMATCH + | + SUBSTRINGMATCH + | + INCLUDES + | + DASHMATCH + |=) + S0 + (? ( + STRING + )|( + IDENT + )) + S0 + )? + \\] , i ); var p_selector_negation_begin = new RegExp( ^ + NOT, i ); var p_selector_negation_end = new RegExp( ^ + S0 + \\) ); var p_selector_pseudo_class = new RegExp( ^( ?)(? ( + FUNCTION + ) + S0 + ( + (? (? + DIMENSION + | + STRING + | + IDENT + | + NUMBER + | + PLUS + |-) + S0 + )+ + ) + \\) + |( + IDENT + )) , i ); var p_selector_predicate_common = new RegExp; p_selector_predicate_common.exec = function (stringData) { var src = stringData; var cmp; var res1 = []; var res2 = []; var code; switch (src.charAt(0)) { case # if ((cmp = p_selector_ID.exec(src))) { code = f_unescape(cmp[1]).replace(/[\ \\]/g, \\$ ); code = return\x20(n.id=== + code + )?n null; ; break; } return null; case . if ((cmp = p_selector_class.exec(src))) { code = f_unescape(cmp[1]).replace(/\W/g, \\$ ); code = return\x20/(? ^| + S1 + ) + code + (? + S0 + |$)/.test(n.className)?n null; ; break; } return null; case [ if ((cmp = p_selector_attrib.exec(src))) { var ns = cmp[2]; if (ns ns !== * ) { throw new Error( Namespace is not supported ); } var ln = f_unescape(cmp[3]).replace(/[\ \\]/g, \\$ ); var opr = cmp[4]; var val; code = var\x20a=n.getAttributeNode( + ln + ); ; if (opr) { val = ((val = cmp[5])) ? val.slice(1, -1) cmp[6]; val = f_unescape(val).replace(/\W/g, \\$ ); } switch (opr) { case = val = /^ + val + $/.test(a.value) ; break; case ^= val = /^ + val + /.test(a.value) ; break; case $= val = / + val + $/.test(a.value) ; break; case *= val = / + val + /.test(a.value) ; break; case ~= val = /(? ^| + S1 + ) + val + (? + S1 + |$)/.test(a.value) ; break; case |= val = /^ + val + (?=-|$)/.test(a.value) ; break; default val = a.specified ; break; } code += return\x20(a + val + )?n null; ; break; } return null; case if ((cmp = p_selector_pseudo_class.exec(src))) { var type = cmp[1]; var name; var args, a, b; if ((name = cmp[2])) { name = name.slice(0, -1); args = cmp[3]; } else { name = cmp[4]; args = ; } switch (type + name) { case root code = return\x20(n===n.ownerDocument.documentElement)?n null; ; break; case nth-child args = f_parse_nth(args), a = args[0], b = args[1]; code = var\x20m,i;for(m=n,i=1;m=m.previousSibling;)if(m.nodeType===1)i++; ; code += (a === 0) ? return\x20(i=== + b + )?n null; var\x20j=i- + b + ;return((j% + a + ===0) (j / + a + =0))?n null; ; break; case nth-last-child args = f_parse_nth(args), a = args[0], b = args[1]; code = var\x20m,i;for(m=n,i=1;m=m.nextSibling;)if(m.nodeType===1)i++; ; code += (a === 0) ? return\x20(i=== + b + )?n null; var\x20j=i- + b + ;return((j% + a + ===0) (j / + a + =0))?n null; ; break; case nth-of-type args = f_parse_nth(args), a = args[0], b = args[1]; code = var\x20s=n.tagName,m,i;for(m=n,i=1;m=m.previousSibling;)if(m.nodeType===1 m.tagName===s)i++; ; code += (a === 0) ? return\x20(i=== + b + )?n null; var\x20j=i- + b + ;return((j% + a + ===0) (j/ + a + =0))?n null; ; break; case nth-last-of-type args = f_parse_nth(args), a = args[0], b = args[1]; code = var\x20s=n.tagName,m,i;for(m=n,i=1;m=m.nextSibling;)if(m.nodeType===1 m.tagName===s)i++; ; code += (a === 0) ? return\x20(i=== + b + )?n null; var\x20j=i- + b + ;return((j% + a + ===0) (j/ + a + =0))?n null; ; break; case first-child code = var\x20m;for(m=n;m=m.previousSibling;)if(m.nodeType===1)return\x20null;return\x20n; ; break; case last-child code = var\x20m;for(m=n;m=m.nextSibling;)if(m.nodeType===1)return\x20null;return\x20n; ; break; case first-of-type code = var\x20s=n.tagName,m;for(m=n;m=m.previousSibling;)if(m.nodeType===1 m.tagName===s)return\x20null;return\x20n; ; break; case last-of-type code = var\x20s=n.tagName,m;for(m=n;m=m.nextSibling;)if(m.nodeType===1 m.tagName===s)return\x20null;return\x20n; ; break; case only-child code = var\x20m;for(m=n;m=m.previousSibling;)if(m.nodeType===1)return\x20null;for(m=n;m=m.nextSibling;)if(m.nodeType===1)return\x20null;return\x20n; ; break; case only-of-type code = var\x20s=n.tagName,m;for(m=n;m=m.previousSibling;)if(m.nodeType===1 m.tagName===s)return\x20null;for(m=n;m=m.nextSibling;)if(m.nodeType===1 m.tagName===s)return\x20null;return\x20n; ; break; case empty code = var\x20m;for(m=n.firstChild;m;m=m.nextSibling)switch(m.nodeType){case\x201 return\x20null;case\x203 case\x204 if(m.length 0)return\x20null;default continue;}return\x20n; ; break; case link case visited case active case hover throw new Error(name + is not supported ); case focus code = var\x20d;return((d=n.ownerDocument) (n===d.activeElement))?n null; ; break; case target code = var\x20d,s,w;return((d=n.ownerDocument) (w=d.defaultView) (s=w.location.hash) (s=s.slice(1)) (n.id===s))?n null; ; break; case lang args = f_trim(args).replace(/\W/g, \\$ ); code = for(var\x20m=n,v;m;m=m.parentNode)if(m.nodeType===1)if((v=m.lang))return\x20/^ + args + (? -|$)/i.test(v)?n null;return\x20null; ; break; case enabled code = return\x20(n.disabled===false)?n null; ; break; case disabled code = return\x20(n.disabled===true)?n null; ; break; case checked code = return\x20(n.checked===true)?n null; ; break; case scope code = var\x20c=this.all;if(!c)return\x20null;var\x20I=c.length,i;for(i=0;i I;i++)if(n===c[i])return\x20n;return\x20null; ; break; case first-line case first-line throw new Error(name + is not supported ); case first-letter case first-letter code = var\x20d,r;if((d=n.ownerDocument)){r=d.createRange();while(n.hasChildNodes())n=n.firstChild;if(n.nodeType===3)if(n.length 0){r.setStart(n,0);r.setEnd(n,1);return\x20r;}}return\x20null; ; break; case selection case selection code = var\x20d,w,s;if((d=n.ownerDocument) (w=d.defaultView))return\x20w.getSelection().getRangeAt(0);return\x20null ; break; case before case before code = var\x20d,r;if((d=n.ownerDocument)){r=d.createRange();r.setStart(n,0);return\x20r;}return\x20null; ; break; case after case after code = var\x20d,r;if((d=n.ownerDocument)){r=d.createRange();switch(n.nodeType){case\x203 case\x204 case\x207 case\x208 r.setStart(n,n.data.length);break;default r.setStart(n,n.childNodes.length);break;}return\x20r;}return\x20null; ; break; default throw new Error(name + is not supported ); } break; } return null; default return null; } res2[res2.length] = code; cmp = cmp[0]; res1[res1.length] = cmp; return [].concat(res1.join( ), res2); }; // var p_selector_negation_arg = new RegExp; p_selector_negation_arg.exec = function (stringData) { var src = stringData; var cmp; var res1 = []; var res2 = []; var code; switch (src.charAt(0)) { case # case . case [ case if ((cmp = p_selector_predicate_common.exec(src))) { code = cmp.slice(1); break; } return null; default if ((cmp = p_selector_subject.exec(src))) { code = cmp.slice(1); break; } return null; } res2[res2.length] = return\x20!(function(n){ + code.join( ) + })(n)?n null; ; cmp = cmp[0]; res1[res1.length] = cmp; return [].concat(res1.join( ), res2); }; // var p_simple_selector_sequence = new RegExp; p_simple_selector_sequence.exec = function (stringData) { var src = stringData; var cmp; var res1 = []; var res2 = []; var code; var subj = false; if ((cmp = p_selector_subject.exec(src))) { // subject subj = true; res2 = res2.concat(cmp.slice(1)); cmp = cmp[0]; res1[res1.length] = cmp; src = src.slice(cmp.length); } A while (src.length 0) { // predicates switch (src.charAt(0)) { case # case . case [ if ((cmp = p_selector_predicate_common.exec(src))) { code = cmp.slice(1); break; } return null; case if ((cmp = p_selector_negation_begin.exec(src))) { cmp = cmp[0]; var zrc = src.slice(cmp.length); var kmp; var rez1 = [cmp]; var rez2 = []; if ((kmp = p_selector_negation_arg.exec(zrc))) { rez2 = rez2.concat(kmp.slice(1)); kmp = kmp[0]; rez1[rez1.length] = kmp; zrc = zrc.slice(kmp.length); if ((kmp = p_selector_negation_end.exec(zrc))) { kmp = kmp[0]; rez1[rez1.length] = kmp; zrc = zrc.slice(kmp.length); // src = zrc; res1.push.apply(res1, rez1); res2.push.apply(res2, rez2); continue; } } break A; } if ((cmp = p_selector_predicate_common.exec(src))) { code = cmp.slice(1); break; } break A; default break A; } res2 = res2.concat(code); cmp = cmp[0]; res1[res1.length] = cmp; src = src.slice(cmp.length); } if (res1.length 0) { if (!subj) { cmp = p_selector_subject.exec( * ); res2 = [].concat(cmp.slice(1), res2); } return [].concat(res1.join( ), res2); } return null; }; // var p_combinator = new RegExp( ^(? ( + PLUS + ) + S0 + |( + GREATER + ) + S0 + |( + TILDE + ) + S0 + |( + S1 + )) , i ); var o_combinator_table = { function (node, patterns) { A if (node.nodeType === 1) { var count = patterns.length; var i, n; for (i = 0; i count; i++) { n = patterns[i].call(this, node); if (!n) { break A; } } return [node, (node !== n) ? n null]; } return null; }, \x20 function (node, patterns) { var count = patterns.length; var i, n; A while ((node = node.parentNode)) { if (node.nodeType === 1) { for (i = 0; i count; i++) { n = patterns[i].call(this, node); if (!n) { continue A; } } return [node, (node !== n) ? n null]; } } return null; }, function (node, patterns) { var count = patterns.length; var i, n; A if ((node = node.parentNode)) { if (node.nodeType === 1) { for (i = 0; i count; i++) { n = patterns[i].call(this, node); if (!n) { break A; } } return [node, (node !== n) ? n null]; } } return null; }, ~ function (node, patterns) { var count = patterns.length; var i, n; A while ((node = node.previousSibling)) { if (node.nodeType === 1) { for (i = 0; i count; i++) { n = patterns[i].call(this, node); if (!n) { continue A; } } return [node, (node !== n) ? n null]; } } return null; }, + function (node, patterns) { var count = patterns.length; var i, n; A while ((node = node.previousSibling)) { if (node.nodeType === 1) { for (i = 0; i count; i++) { n = patterns[i].call(this, node); if (!n) { break A; } } return [node, (node !== n) ? n null]; } } return null; } }; // var p_selector = new RegExp; p_selector.exec = function (stringData) { var src = stringData; var cmp; if ((cmp = p_simple_selector_sequence.exec(src))) { var res1 = []; var res2 = []; var sel; var cmb; sel = cmp.slice(1); cmp = cmp[0]; res1[res1.length] = cmp; src = src.slice(cmp.length); while ((cmp = p_combinator.exec(src))) { cmb = cmp[1] ? + cmp[2] ? cmp[3] ? ~ \x20 ; res2[res2.length] = [sel, cmb]; sel = null; cmp = cmp[0]; res1[res1.length] = cmp; src = src.slice(cmp.length); if ((cmp = p_simple_selector_sequence.exec(src))) { sel = cmp.slice(1); cmp = cmp[0]; res1[res1.length] = cmp; src = src.slice(cmp.length); continue; } break; } if (sel) { res2[res2.length] = [sel, ]; } else { var lst = res2[res2.length - 1]; var lsn = lst.length - 1; if (lst[lsn] === \x20 ) { lst[lsn] = ; } else { return null; } } for (var simple, patterns, i = 0, I = res2.length; i I; i++) { simple = res2[i], patterns = simple[0]; res2[i] = { patterns patterns, relation o_combinator_table[simple[1]] }; for (var j = 0, J = patterns.length; j J; j++) { patterns[j] = new Function( n , patterns[j]); } } res2.reverse(); return [].concat(res1.join( ), res2); } return null; }; // var p_selector_separator = new RegExp( ^ + COMMA + w); var p_selectors_group = new RegExp; p_selectors_group.exec = function (stringData) { var src = stringData; var cmp; if ((cmp = p_selector.exec(src))) { var res1 = []; var res2 = []; res2[res2.length] = cmp.slice(1); cmp = cmp[0]; res1[res1.length] = cmp; src = src.slice(cmp.length); while ((cmp = p_selector_separator.exec(src))) { cmp = cmp[0]; res1[res1.length] = cmp; src = src.slice(cmp.length); if ((cmp = p_selector.exec(src))) { res2[res2.length] = cmp.slice(1); cmp = cmp[0]; res1[res1.length] = cmp; src = src.slice(cmp.length); continue; } break; } return [].concat(res1.join( ), res2); } return null; }; // var s_integer = [0-9]+ ; var p_nth = new RegExp(w + (? ([-+]?(? + s_integer + )?) + N + (? + w + ([-+]) + w + ( + s_integer + ))?|([-+]?(? + s_integer + ))|( + O + D + D + )|( + E + V + E + N + )) + w, i ); var f_parse_nth = function (stringData) { var cmp = p_nth.exec(stringData); if (cmp) { var i, a, b; for (i = 0; !cmp[++i];); switch (i) { case 1 // 2n+1 a = cmp[i]; b = cmp[i + 1] + cmp[i + 2]; return [a === + ? 1 a === - ? -1 parseInt(a, 10), parseInt(b, 10) || 0]; case 4 // 1 return [0, parseInt(cmp[i], 10) || 0]; case 5 // odd return [2, 1]; case 6 // even return [2, 0]; } } return null; }; // var o_selectors_group_cache = { }; var f_create_selectors_group = function (stringData) { var selectors = p_selectors_group.exec(stringData); if (!selectors || stringData.length !== selectors[0].length) { throw new Error( malformed CSS selectors ); } var fn = o_selectors_group_cache[stringData]; if ( function === typeof fn) { return fn; } return o_selectors_group_cache[stringData] = function (node) { var selectorCount = selectors.length; var i; A for (i = 1; i selectorCount; i++) { var n = node; var result = []; var simples = selectors[i]; var simpleCount = simples.length; var j; for (j = 0; j simpleCount; j++) { var simple = simples[j]; var patterns = simple.patterns; var relation = simple.relation; if ((n = relation.call(this, n, patterns))) { result[result.length] = n; n = n[0]; continue; } continue A; } return result; } return null; }; }; this._selectors_group = f_create_selectors_group; // // css3-values var p_exprs = new RegExp( ^(? + ( + FUNCTION + ) + |(\\)) + |( + (? + s_unary_operator + )? + (? + PERCENTAGE + | + DIMENSION + | + NUMBER + ) + | + URI + | + STRING + | + IDENT + (?!\\() + | + s_hexcolor + )|( + COMMA + S0 + | + S0 + / + S0 + | + S1 + ) + ) , i ); var p_expr = new RegExp; p_expr.exec = function (stringData) { var src = stringData; var cmp; var tmp; var res1 = []; var res2 = []; var depth = 0; for (; cmp = p_exprs.exec(src); src = src.slice(tmp.length)) { if ((tmp = cmp[1])) { // f( depth++, res1[res1.length] = tmp; res2[res2.length] = f_unescape(tmp); continue; } if ((tmp = cmp[2])) { // ) if (depth 0) { depth--, res1[res1.length] = tmp; res2[res2.length] = tmp; continue; } break; } if ((tmp = cmp[3])) { res1[res1.length] = tmp; res2[res2.length] = f_unescape(tmp); continue; } if ((tmp = cmp[4])) { // operator res1[res1.length] = tmp; res2[res2.length] = f_trim(tmp) || \x20 ; continue; } } if (depth === 0) { if (res2[res2.length - 1] === \x20 ) { res2.pop(); } return [].concat(res1.join( ), res2); } return null; }; // // css3-mediaqueries var p_media_expression_prefix = new RegExp( ^\\( + S0 + ( + IDENT + ) + S0, i ); var p_media_expression_infix = new RegExp( ^ + S0); var p_media_expression_suffix = new RegExp( ^\\) + S0); var p_val_px = new RegExp( ^ + w + ( + NUMBER + ) + P + X + w + $ , i ); var p_val_ratio = new RegExp( ^ + w + ( + NUMBER + ) + w + / + w + ( + NUMBER + ) + w + $ , i ); var p_val_num = new RegExp( ^ + S0 + ( + NUMBER + ) + S0 + $ , i ); var p_val_pattern = new RegExp( ^ + S0 + ( + STRING + ) + S0 + , + S0 + ( + STRING + ) + S0 + $ ); var c_media_width = w.innerWidth ; var c_media_height = w.innerHeight ; var c_media_width_div_height = w.innerWidth/w.innerHeight ; var c_media_device_width = w.screen.availWidth ; var c_media_device_height = w.screen.availHeight ; var c_media_device_width_div_device_height = w.screen.availWidth/w.screen.availHeight ; var c_media_color = w.screen.colorDepth ; var p_media_expression = new RegExp; p_media_expression.exec = function (stringData) { var src = stringData; var cmp; if ((cmp = p_media_expression_prefix.exec(src))) { var res1 = []; var res2 = []; res2 = res2.concat(cmp.slice(1)); cmp = cmp[0]; res1[res1.length] = cmp; src = src.slice(cmp.length); if ((cmp = p_media_expression_infix.exec(src))) { cmp = cmp[0]; res1[res1.length] = cmp; src = src.slice(cmp.length); if ((cmp = p_expr.exec(src))) { res2 = res2.concat(cmp.slice(1)); cmp = cmp[0]; res1[res1.length] = cmp; src = src.slice(cmp.length); } } if ((cmp = p_media_expression_suffix.exec(src))) { cmp = cmp[0]; res1[res1.length] = cmp; var feature = res2[0].toLowerCase(); var value = res2.slice(1).join( ); var accessor; var operator; var code; /*@{ c_media_width = (function(d){d=(d.compatMode=== CSS1Compat )?d.documentElement d.body;return\x20d.clientWidth;})(w.document) ; c_media_height = (function(d){d=(d.compatMode=== CSS1Compat )?d.documentElement d.body;return\x20d.clientHeight;})(w.document) ; c_media_width_div_height = (function(d){d=(d.compatMode=== CSS1Compat )?d.documentElement d.body;return\x20d.clientWidth/d.clientHeight;})(w.document) ; }@*/ if (/(? ^|-)(? width|height)$/i.test(feature)) { switch (feature) { case width accessor = c_media_width, operator = === ; break; case height accessor = c_media_height, operator = === ; break; case max-width accessor = c_media_width, operator = = ; break; case min-width accessor = c_media_width, operator = = ; break; case max-height accessor = c_media_height, operator = = ; break; case min-height accessor = c_media_height, operator = = ; break; case device-width accessor = c_media_device_width, operator = === ; break; case device-height accessor = c_media_device_height, operator = === ; break; case max-device-width accessor = c_media_device_width, operator = = ; break; case min-device-width accessor = c_media_device_width, operator = = ; break; case max-device-height accessor = c_media_device_height, operator = = ; break; case min-device-height accessor = c_media_device_height, operator = = ; break; default accessor = false ; } code = return\x20 + accessor; if (value (value = p_val_px.exec(value))) { code += operator + value[1] + ; ; } else if (/^[ ]/.test(operator)) { code += ; ; } else { code += !==0; ; } } else if (/(? ^|-)aspect-ratio$/i.test(feature)) { switch (feature) { case aspect-ratio accessor = c_media_width_div_height, operator = == ; break; case max-aspect-ratio accessor = c_media_width_div_height, operator = = ; break; case min-aspect-ratio accessor = c_media_width_div_height, operator = = ; break; case device-aspect-ratio accessor = c_media_device_width_div_device_height, operator = == ; break; case max-device-aspect-ratio accessor = c_media_device_width_div_device_height, operator = = ; break; case min-device-aspect-ratio accessor = c_media_device_width_div_device_height, operator = = ; break; default accessor = false ; } code = return\x20 + accessor; if (value (value = p_val_ratio.exec(value))) { code += operator + value[1] + ; ; } else if (/^[ ]/.test(operator)) { code += ; ; } else { code += !==0; ; } } else if (/(? ^|-)color$/i.test(feature)) { switch (feature) { case color accessor = c_media_color, operator = === ; break; case max-color accessor = c_media_color, operator = = ; break; case min-color accessor = c_media_color, operator = = ; break; default accessor = false ; } code = return\x20 + accessor; if (value (value = p_val_num.exec(value))) { code += operator + value[1] + ; ; } else if (/^[ ]/.test(operator)) { code += ; ; } else { code += !==0; ; } } else { switch (feature) { case orientation if (value) { value = f_trim(value).toLowerCase(); switch (value) { case portrait code = return\x20 + c_media_width + = + c_media_height + ; ; break; case landscape code = return\x20 + c_media_width + + c_media_height + ; ; break; default code = return\x20false; ; break; } } else { code = return\x20false; ; } break; case -x-domain-pattern value = p_val_pattern.exec(value); if (value) { var psrc = value[1].slice(1, -1).replace(/[\/\\]/g, \\$ ); var flag = value[2].slice(1, -1).replace(/\\/g, \\$ ); code = /\W/.test(flag) ? return\x20false; return\x20/ + psrc + / + flag + .test(w.location); ; } else { code = return\x20false; ; } break; default code = var\x20h=this.ondefault;if(h){return\x20h.call(this,{target w,feature + feature + ,value + value.replace(/[\ \\]/g, \\$ ) + });}return\x20false; ; break; } } res2 = code; return [].concat(res1.join( ), res2); } } return null; }; // var o_media_groups = { continuous /\s*(? ^|,)\s*(? braille|handheld|screen|speech|tty|tv)\s*(? ,|$)\s*/i, paged /\s*(? ^|,)\s*(? handheld|embossed|print|projection|tv)\s*(? ,|$)\s*/i, visual /\s*(? ^|,)\s*(? handheld|print|projection|screen|tty|tv)\s*(? ,|$)\s*/i, audio /\s*(? ^|,)\s*(? handheld|screen|tv)\s*(? ,|$)\s*/i, speechg /\s*(? ^|,)\s*(? handheld|speech)\s*(? ,|$)\s*/i, tactile /\s*(? ^|,)\s*(? braille|embossed)\s*(? ,|$)\s*/i, grid /\s*(? ^|,)\s*(? braille|embossed|handheld|tty)\s*(? ,|$)\s*/i, bitmap /\s*(? ^|,)\s*(? handheld|print|projection|screen|tv)\s*(? ,|$)\s*/i, interactive /\s*(? ^|,)\s*(? braille|handheld|projection|screen|speech|tty|tv)\s*(? ,|$)\s*/i, static /\s*(? ^|,)\s*(? braille|embossed|handheld|print|screen|speech|tty|tv)\s*(? ,|$)\s*/i, // braille /\s*(? ^|,)\s*(? continuous|tactile|grid|interactive|static)\s*(? ,|$)\s*/i, embossed /\s*(? ^|,)\s*(? paged|tactile|grid|static)\s*(? ,|$)\s*/i, handheld /\s*(? ^|,)\s*(? continuous|paged|visual|audio|speech|grid|bitmap|interactive|static)\s*(? ,|$)\s*/i, print /\s*(? ^|,)\s*(? paged|visual|bitmap|static)\s*(? ,|$)\s*/i, projection /\s*(? ^|,)\s*(? paged|visual|bitmap|interactive)\s*(? ,|$)\s*/i, screen /\s*(? ^|,)\s*(? continuous|visual|audio|bitmap|interactive|static)\s*(? ,|$)\s*/i, speech /\s*(? ^|,)\s*(? continuous|speech|interactive|static)\s*(? ,|$)\s*/i, tty /\s*(? ^|,)\s*(? continuous|visual|grid|interactive|static)\s*(? ,|$)\s*/i, tv /\s*(? ^|,)\s*(? continuous|paged|visual|audio|bitmap|interactive|static)\s*(? ,|$)\s*/i }; // var p_media_query_prefix = new RegExp( ^ + S0 + ( + O + N + L + Y + | + N + O + T + )? + S0 + ( + IDENT + ) + S0, i ); var p_media_query_and = new RegExp( ^ + A + N + D + S1, i ); var p_media_query = new RegExp; p_media_query.exec = function (stringData) { var src = stringData; var cmp; var res1 = []; var res2 = []; var code1; var code2; A { if ((cmp = p_media_query_prefix.exec(src))) { // only | not code1 = (code1 = cmp[1]) ? f_unescape(code1).toLowerCase() only ; code2 = f_unescape(cmp[2]).toLowerCase(); break A; } if ((cmp = p_media_expression.exec(src))) { code1 = only ; code2 = all ; res2[res2.length] = new Function( w , cmp.slice(1).join( )); break A; } return null; } cmp = cmp[0]; res1[res1.length] = cmp; src = src.slice(cmp.length); // only or not code1 = (code1 === not ) ? return\x20!b; return\x20b; ; // media type if (code2 === all ) { code2 = return\x20true; ; } else { var pattern = o_media_groups[code2]; code2 = if(/(? ^| + S0 + ,) + S0 + (? + code2.replace(/\W/g, \\$ ) + ) + S0 + (? , + S0 + |$)/i.test(m))\x20return\x20true; ; if (pattern) { code2 += return\x20 + pattern + .test(m); ; // be careful not to contain / } else { code2 += return\x20false; ; } } res2 = [].concat(new Function( b , code1), new Function( m , code2), res2); // media queries while ((cmp = p_media_query_and.exec(src))) { cmp = cmp[0]; res1[res1.length] = cmp; src = src.slice(cmp.length); if ((cmp = p_media_expression.exec(src))) { res2[res2.length] = new Function( w , cmp.slice(1).join( )); cmp = cmp[0]; res1[res1.length] = cmp; src = src.slice(cmp.length); continue; } return null; } return [].concat(res1.join( ), res2); }; // var p_media_query_list_prefix = new RegExp( ^ + S0); var p_media_query_list_infix = new RegExp( ^ + COMMA + S0, i ); var p_media_query_list = new RegExp; p_media_query_list.exec = function (stringData) { var src = stringData; var cmp; if ((cmp = p_media_query_list_prefix.exec(src))) { var res1 = []; var res2 = []; cmp = cmp[0]; res1[res1.length] = cmp; src = src.slice(cmp.length); if ((cmp = p_media_query.exec(src))) { res2[res2.length] = cmp.slice(1); cmp = cmp[0]; res1[res1.length] = cmp; src = src.slice(cmp.length); while ((cmp = p_media_query_list_infix.exec(src))) { cmp = cmp[0]; res1[res1.length] = cmp; src = src.slice(cmp.length); if ((cmp = p_media_query.exec(src))) { res2[res2.length] = cmp.slice(1); cmp = cmp[0]; res1[res1.length] = cmp; src = src.slice(cmp.length); continue; } break; } } return [].concat(res1.join( ), res2); } return null; }; // var o_media_query_list_cache = { }; var f_create_media_query_list = function (stringData) { var queries = p_media_query_list.exec(stringData); if (!queries) { throw new Error( malformed Media Queries ); } var fn = o_media_query_list_cache[stringData]; if ( function === typeof fn) { return fn; } return o_media_query_list_cache[stringData] = function (view, mediaType) { var queryCount = queries.length; var i; for (i = 1; i queryCount; i++) { var exprs = queries[i]; var exprCount = exprs.length; var j; if (exprs[1].call(this, mediaType)) { var bool = true; for (j = 2; j exprCount; j++) { if (!exprs[j].call(this, view)) { bool = false; break; } } if (exprs[0].call(this, bool)) { return true; } } } return false; }; }; this._media_query_list = f_create_media_query_list; // // shortcut methods var f_matches_media_interactive = function (queries, view, thisArg) { return f_create_media_query_list(queries).call(thisArg, view, interactive ); }; this.matchesWindow = f_matches_media_interactive; var f_apply_selectors = function (selectors, root, thisArg) { selectors = f_create_selectors_group(selectors); if (! thisArg) { thisArg = { }; } thisArg.all = [ ].concat(thisArg.all || root); var result = [ ]; var es = root.getElementsByTagName( * ); var I = es.length; var i; var r; for (i = 0; i I; i++) { if ((r = selectors.call(thisArg, es[i]))) { r = r[0]; result[result.length] = r[1] || r[0]; } } return result; }; this.applySelectors = f_apply_selectors; }; 初出：2011-07-07/08/09/10/11/12、修正 2011-08-12
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Market Scenario In its research report, Market Research Future (MRFR), asserts that the AI in Construction Market Research 2020 is slated to grow exponentially over the review period, securing a considerable market valuation of USD 2.01 billion, and a healthy 35% CAGR over the review period. Novel coronavirus has actually AI in Construction Market Research to open new avenues for those firms that are on the lookout for solutions that are reliable, efficiently managed, scalable, and are subscription-based, to remain more focused on the core business. The AI in Construction Market is bearing lesser impact of the COVID-19 outbreak compared to most other segments of the tech world. In a nutshell, COVID-19 impact on managed services has been fruitful, with the market growth enhanced than before. Given the prevalent lockdown situation, managed services vendors are now investing heavily in remote-centric worker solutions, which can make the market highly resilient in the coming years, even as the world is currently rushing to achieve a COVID-19 breakthrough. Request a Free Sample @ https //www.marketresearchfuture.com/sample_request/6035 Segmentation The AI in construction market is differentiated by component, technology, organization size, deployment, stage, and application. On the basis of stage, the market is segmented into construction stage, pre-construction, and post-construction. Based on the component, the AI in construction market is bifurcated as solutions and services. The solution segment is categorized as demand forecasting, virtual assistant, revenue estimation, design planning, predictive maintenance, and others. The service sub-segment comprised implementation services, training consulting, and other support services. In terms of technology, the market is segregated into machine learning deep learning, neural networks, and natural learning programming (NLP). Based on the deployment, the market is divided into on-cloud and on-premises. Based on the organization size, the market is bifurcated into large enterprises, and small medium enterprise (SMEs). On the basis of application, the market is categorized as, project management, schedule management, risk management, equipment management, building information management, and supply chain management. Competitive Outlook The major market players operating in the global market as identified by MRFR are Oracle Corporation (U.S), IBM Corporation (U.S.), SAP SE (Germany), Alice Technologies.(U.S.), Microsoft Corporation (U.S.), Autodesk (U.S.), Aurora Computer Services(U.K), eSUB (U.S.), Smartvid.io(U.S.),and Building System Planning (U.S.). Some other market players who are involved in AI construction market are Jaroop, Deepomatic, Lili.Ai, Predii, Assignar, Coins Global, Beyond Limits, Doxel Askporter, Bentley Systems, Plangrid, and Renoworks Software Regional Analysis The geographical overview of the global market has been analyzed in four major regions, comprising the Asia Pacific, North America, Europe, and the rest of the world. On the building industry, North America is believed to have substantial growth in the AI, with the U.S. and Canada being the sector leading countries. Regional domination is due to increased investment by companies such as IBM Corporation, Oracle Corporation and many others, which invest directly in the advancement of technologies such as neural networks and machine learning in research and development. However, Asia Pacific is also expected to experience a strong market growth rate. The leading countries in this field are China, Japan, South Korea and India. The market growth is due to rise in demand by the region to improve smart city projects which require better facilities that boost the real estate sector. Table of Contents 1Executive Summary 2Scope of the Report 2.1Market Definition 2.2Scope of the Study 2.2.1Research objectives 2.2.2Assumptions Limitations 2.3Markets Structure Continued…. Browse Full Report Details @ https //www.marketresearchfuture.com/reports/ai-in-construction-market-6035 List of Tables Table1 Global AI In Construction Market By Region, 2020-2027 Table2 North America AI In Construction Market By Country, 2020-2027 Table3 Europe AI In Construction Market By Country, 2020-2027 Continued… List of Figures FIGURE 1 Global AI In Construction Software Market Segmentation FIGURE 2 Forecast Methodology FIGURE 3 Porter’s Five Forces Analysis of Global AI In Construction Software Market Continued… Trending #MRFR Report** https //ictmrfr.blogspot.com/2022/04/geofencing-market-companies-growth-with.html https //blogfreely.net/pranali004/telecom-expense-management-market-size-impressive-cagr-changing-business-scope https //postheaven.net/pranali004/financial-app-industry-impressive-cagr-changing-business-needs-scope-of https //market-research-future.tribe.so/post/openstack-service-market-research-impressive-cagr-changing-scope-of-current--6263de46791566c10c79891e https //www.scutify.com/articles/2022-04-24-infrastructure-as-a-service-industry-cagr-changing-business-scope-of-current-and-future-industry- About Market Research Future Market Research Future (MRFR) has created a niche in the world of market research. It is counted among the top market research companies that offer well-researched and updated market research reports and insights to businesses of all sizes. What sets us apart is our super-responsive team that offers quality work keeping clients abridged of the prospective challenges and opportunities in various markets. Our team is adept in their space as well as patiently listens to every client. The best part is they know their work inside out and possess the expertise to guide the client in the right direction and achieve results on a tight deadline. We are a one-stop solution for all your data research needs. Our team does not believe in the “one size fits all” approach to creating a report that is detailed and concise. We handle 13 industry verticals including Healthcare, Chemicals and Materials, Information and Communications Technology, Semiconductor and Electronics, Energy and Power, Food, Beverages Nutrition, Automobile, Consumer and Retail, Aerospace and Defense, Industrial Automation and Equipment, Packaging Transport, Construction, and Agriculture. With our unique approach for every market report, we aim to reach the zenith in qualitative business intelligence and syndicated market research. Contact Market Research Future (Part of Wantstats Research and Media Private Limited) 99 Hudson Street, 5Th Floor New York, NY 10013 United States of America 1 628 258 0071 (US) 44 2035 002 764 (UK) Email sales@marketresearchfuture.com Website https //www.marketresearchfuture.com
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} .not_in_card { border-bottom dashed 1px #D0D0D0; } .tooltip { display flex; visibility hidden; position absolute; top -42.5px; left 0; width 275px; min-height 20px; max-height 100px; padding 10px; border-radius 5px; background-color #555; align-items center; color #FFF; font-size 85%; line-height 20px; text-align center; white-space nowrap; opacity 0; transition 0.7s; -webkit-user-select none; -moz-user-select none; -ms-user-select none; user-select none; } .inaudible .tooltip { top -68.5px; } span hover + .tooltip { visibility visible; top -47.5px; opacity 0.8; transition 0.3s; } .inaudible span hover + .tooltip { top -73.5px; } .not_in_card span.hide { top -42.5px; opacity 0; transition 0.7s; } .inaudible .img { display inline-block; width 3.45em; height 1.25em; margin-right 4px; margin-bottom -3.5px; margin-left 4px; background-image url(https //img.atwikiimg.com/www31.atwiki.jp/touhoukashi/attach/2971/7/Inaudible.png); background-size contain; background-repeat no-repeat; } .not_in_card after, .inaudible .img after { content ; 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Content Delivery Network Industry Insight The fast uptake and development of a content delivery network are progressively becoming a crucial component of any enterprise. Market Research Future predicts the potentiality of the global Content Delivery Network Industry 2020. It can achieve a high valuation by the year 2023. Such a high valuation will garner at a growth rate of 26.5% in the forecast years (2018 to 2024). The market expansion can be accredited to the escalating volumes of content being exchanged over the internet in line with the continued rapid network rollouts. Effective so lutions would be needed to ensure uninterrupted content delivery over a high-speed data network, mainly to cater to the growing demand for Video-on-Demand (VOD) and Over the Top (OTT) services. In fact, plummeting data costs coupled with rising affordability and accessibility of broadband and mobile network access are some of the other foremost factors anticipated to motivate the demand for content delivery network solutions. Request a Free Sample @ https //www.marketresearchfuture.com/reports/content-delivery-network-market-2796 Top Market Contenders The top market players of global CDN market are listed as Limelight Networks Inc. (US), Akamai Technologies Inc. (US), Tata Communications Ltd (India), CenturyLink (US), StackPath, LLC (US), Fastly Inc (US), Verizon Communications Inc. (US), CDNetworks Co. Ltd (South Korea), AT T Inc. (US), Amazon.com Inc. (US) and Comcast Corporation (US). Market Analysis MRFR also spotlights on the fact that the e-commerce industry is sprouting continuously in line with shifting consumer behavior. As such, CDN solutions are employed to ensure that consumers have access to all the content necessary to make an informed buying decision. CDN solutions are also employed aggressively to optimize delivery as consumers shift from conventional television to video content delivery. At the same time, the performance of digital solutions based on an IoT network across various industries is also prompting content delivery network providers to introduce customized industry-specific content delivery network solutions. The mounting adoption of advanced technologies, such as artificial intelligence (AI) and augmented reality (AR), are also opening opportunities to launch innovative content delivery network solutions in the future. All these factors are ready to contribute to the global content delivery network market in the forecast period. Furthermore, in countries, such as India and China, the fame of online gaming and the preference for digital marketing is escalating. The advances in technology, coupled with the rollout of smart cities and 4G network rollouts, are also encouraging opportunities to come into the market. On this line, large access providers and platform companies are pursuing integration initiatives to withstand the intense competition globally. As such, companies offering technology solutions are moving into content market space. The mounting population, coupled with the advent of new network technologies, is also motivating content consumption and content delivery network. The digitization of the media entertainment industry is particularly driving market growth to a great extent. Segmentation of Market Content Delivery Solutions The global content delivery solutions market has further been studied among segmentation, including segments of type, solutions, application, service providers, and vertical. By the segment of type, the market has included a standard content delivery network, video content delivery network. By the segment of solutions, the market has included media delivery, web performance optimization, and cloud security. By the segment of the application, the market has included network optimization, OTT streaming, analytics performance monitoring, and website API management. By the segment of service providers, the market has included traditional content delivery networks, Telco content delivery networks,, and cloud services providers. By the segment of vertical, the market has included retail e-commerce, media entertainment, BFSI, gaming, IT telecommunication, education, and others. Regional Outlook North America, Europe, Asia-Pacific, and the rest of the world are the key regions mentioned in the global content delivery solutions market’s regional analysis. Among these regions, the North American region is anticipated to lead the content delivery network market during the study period. The early adoption of IoT technology and smart devices such as Smartphones and smart TV in North America are some of the factors motivating the growth of the regional market. Furthermore, the incidence of technology leaders such as Verizon Digital Media, Amazon Web Services, Akamai Technologies Inc., and CenturyLink is likely to contribute to the growth of the content delivery network market in the region. The US, after Canada, leads the market in North America. The market in Asia-Pacific is also anticipated to occupy a significant share where China is likely to lead the market. Europe trails North America in the global content delivery network market. The Asia Pacific is forecasted to outpace all other regions by growth owing to enhancements in technology in emerging countries of the region. Table of Content 1 Executive Summary 1.1 Market Attractiveness Analysis 17 1.1.1 Global Content Delivery Network Market, By Type 17 1.1.2 Global Content Delivery Network Market, By Solutions 18 1.1.3 Global Content Delivery Network Market, By Application 19 1.1.4 Global Content Delivery Network Market, By Service Providers 20 1.1.5 Global Content Delivery Network Market, By Vertical 21 1.2 Global Content Delivery Network Market, By Region 22 Continued…. List of Tables Table 1 List of Assumptions 29 Table 2 Regional Data Transfer Out to Internet (Per Gb) 39 Table 3 Request Pricing for All Http Methods (Per 10,000) 40 Table 4 Global Content Delivery Network Market, By Type, 2020–2027 (Usd Million) 45 Table 5 Global Content Delivery Network Market, By Video Content Delivery Network, 2020–2027 (Usd Million) 47 Continued…. Browse Full Report Details @ https //www.marketresearchfuture.com/reports/content-delivery-network-market-2796 List of Figures Figure 1 Market Synopsis 16 Figure 2 Market Attractiveness Analysis Global Content Delivery Network Market 17 Figure 3 Global Content Delivery Network Market Analysis By Type, 2020 (%) 17 Figure 4 Global Content Delivery Network Market Analysis By Solutions, 2020 (%) 18 Figure 5 Global Content Delivery Network Market Analysis By Application, 2020 (%) 19 Continued…. Trending Research Report** Internet of Things Market https //writeonwall.com/internet-of-things-market-growth-key-players-with-product-particulars-applications-future-trend-business-growth-market-size-key-players-update-business-statistics-and-forecast-till-2030/ B2B Telecommunication Market https //ict268262635.wordpress.com/2022/04/06/b2b-telecommunication-market-major-application-third-party-usage-micro-market-pricing-analysis-and-geographical-analysis-forecast-to-2030/ Passport Reader Market https //ict268262635.wordpress.com/2022/04/06/passport-reader-market-major-application-third-party-usage-micro-market-pricing-analysis-and-geographical-analysis-forecast-to-2030/ Antivirus Software Market https //ict268262635.wordpress.com/2022/04/06/geospatial-market-major-application-third-party-usage-micro-market-pricing-analysis-and-geographical-analysis-forecast-to-2030/ Cash Management System Market https //www.scutify.com/articles/2022-04-18-cash-management-system-market-size-receives-a-rapid-boost-in-economy-due-to-high-emerging-demands About Market Research Future At Market Research Future (MRFR), we enable our clients to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research Consulting Services. 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https://w.atwiki.jp/tdumods/pages/22.html
リリースMODーpage2 前のページへ 次のページへ 2007 Lamborghini Gallardo Superleggera 差し替え：Ferrari 458 Italia http //tdu.forumcommunity.net/?t=48701353 sound 2007 Lamborghini Murcielago LP640 差し替え：Ferrari 599GTB Fiorano http //tdu.forumcommunity.net/?t=48788701 sound Ferrari 250 Testarossa 差し替え：Jaguar D-Type http //tduforums.com/thread-3117.html 2003 Porsche Carrera GT 差し替え：RUF RK Spyder http //www.kabumda.com/2011/11/test-drive-unlimited-2-mod-car-2003.html 2002 Ferrari 575M Maranello 差し替え：Ferrari 612 Scaglietti http //www.kabumda.com/2011/11/test-drive-unlimited-2-mod-car-2002.html 1991 BMW M3 E30 差し替え：308GTS Quattrovalvole http //tdu.forumcommunity.net/?t=48900435 1987 Ferrari F40 差し替え：Ferrari F430 Scuderia http //tdu.forumcommunity.net/?t=48913616 sound Lexsus LFA 差し替え：McLaren MP4-12C http //forum.tdu-central.com/threads/27081-Reventon09-2010-Lexus-LF-A http //forum.tdu-central.com/threads/27085-Spaico-Lexus-LF-A-Sound-mod 上がグラフィック、下がサウンドMODです。 かなり出来はよさそう 2008 Porsche 911 GT2 差し替え：RUF RT12 http //tdu.forumcommunity.net/?t=48980838 sound Lamborghini DiabloGTR 待望のDiabloMODをがリリース。 これもかなりクオリティが高いですね。 ただ、音はフェラーリか何かを使ったほうが良さそうです 本体http //forum.tdu-central.com/threads/27103-Reventon09-1999-Lamborghini-Diablo-GTR 音http //forum.tdu-central.com/threads/27143-spaico-Lamborghini-Diablo-GTR-Sound-Mod ※注意 本体にはパスワードがかかっています。 パスは「Rèventon09」ですが、どうやらこのèに一部解凍ソフトが対応しないようです。 7-Zipでの動作確認がされたので、そちらの使用を推奨します。 2004 Ferrari F430 Coupè 差し替え：Ferrari F430 Scuderia 16M http //tdu.forumcommunity.net/?t=49117785 ロシア製MOD３種類 ロシアのフォーラムから発見。 http //tdu-world.com/load/85 ※IEでは開けません GAZ3102, G55AMG,M3GTRの３種類。 いずれも音はありませんが、ナンバーまで変更してあり、なかなかの出来です。 特に、GAZのような「普通の」セダンや、G55のような「本格的クロカン車」は今まで全く無かったので、ゲームの楽しみが広がると思います。 RUF RGT用 997GT3 今度はRGT用のGT3が出てきました。 影の映り方がいまいち変だけど、まずまずの完成度。 ちなみにRturboにもだいたいぴったりサイズで使えます。（ただしトレッドがせまいため、タイヤが奥に入ってまう） http //forum.tdu-central.com/threads/27163-Reventon09-2007-Porsche-997-GT3※解凍は7-Zipの使用を推奨します Mercedes-Benz SL500 Brabus 1995 差し替え：Mercedes-Benz SLK 55 AMG ハードトップ版とロードスター版があります。 ハードトップ(ロードスター)は開け(閉め)られませんのでどちらか好きな方を。 ハードトップは画像の上、ロードスターは画像の下にそれぞれリンクがあります。 http //tdu-world.com/load/85-1-0-627※IEでは開けません ※ドアの開き方が非常に"保守的"です 2018 Dodge Challenger SRT Demon 差し替え：Dodge Viper SRT-10 https //turboduck.net/forums/topic/36573-irina-raevskaya-2018-dodge-challenger-srt-demon/ 2009 Honda S2000 CR 差し替え：Chevrolet Camaro 1LT https //turboduck.net/forums/topic/36204-stargt-2009-honda-s2000-clubracer/ 2003 Renault Sport Clio V6 Sport 差し替え：Alfa Mito https //turboduck.net/forums/topic/36138-kiborg_dva-2003-renault-sport-clio-v6-sport/ 2015 Alfa Romeo 4C Coupe "Launch Edition" 差し替え：Lotus Evora https //turboduck.net/forums/topic/36036-stargt-2015-alfa-romeo-4c-coupe-launch-edition/ https //turboduck.net/forums/topic/36037-alfa-romeo-4c-sound-mod/ 上がグラフィック、下がサウンドMODです。 Audi RS6 Avant ABT 差し替え：Audi RS6 Avant https //turboduck.net/forums/topic/35749-vrs-design%C2%A9-audi-rs6-avant-abt/
https://w.atwiki.jp/touhoukashi/pages/785.html
【登録タグ ALiCE'S EMOTiON Intervention R 佐伯佑佳 曲 虎柄の毘沙門天】 【注意】 現在、このページはJavaScriptの利用が一時制限されています。この表示状態ではトラック情報が正しく表示されません。 この問題は、以下のいずれかが原因となっています。 ページがAMP表示となっている ウィキ内検索からページを表示している これを解決するには、こちらをクリックし、ページを通常表示にしてください。 /** General styling **/ @font-face { font-family Noto Sans JP ; font-display swap; font-style normal; font-weight 350; src url(https //img.atwikiimg.com/www31.atwiki.jp/touhoukashi/attach/2972/10/NotoSansCJKjp-DemiLight.woff2) format( woff2 ), url(https //img.atwikiimg.com/www31.atwiki.jp/touhoukashi/attach/2972/9/NotoSansCJKjp-DemiLight.woff) format( woff ), url(https //img.atwikiimg.com/www31.atwiki.jp/touhoukashi/attach/2972/8/NotoSansCJKjp-DemiLight.ttf) format( truetype ); } @font-face { font-family Noto Sans JP ; font-display swap; font-style normal; font-weight bold; src url(https //img.atwikiimg.com/www31.atwiki.jp/touhoukashi/attach/2972/13/NotoSansCJKjp-Medium.woff2) format( woff2 ), url(https //img.atwikiimg.com/www31.atwiki.jp/touhoukashi/attach/2972/12/NotoSansCJKjp-Medium.woff) format( woff ), url(https //img.atwikiimg.com/www31.atwiki.jp/touhoukashi/attach/2972/11/NotoSansCJKjp-Medium.ttf) format( truetype ); } rt { font-family Arial, Verdana, Helvetica, sans-serif; } /** Main table styling **/ #trackinfo, #lyrics { font-family Noto Sans JP , sans-serif; font-weight 350; } .track_number { font-family Rockwell; font-weight bold; } .track_number after { content . ; } #track_args, .amp_text { display none; } #trackinfo { position relative; float right; margin 0 0 1em 1em; padding 0.3em; width 320px; border-collapse separate; border-radius 5px; border-spacing 0; background-color #F9F9F9; font-size 90%; line-height 1.4em; } #trackinfo th { white-space nowrap; } #trackinfo th, #trackinfo td { border none !important; } #trackinfo thead th { background-color #D8D8D8; box-shadow 0 -3px #F9F9F9 inset; padding 4px 2.5em 7px; white-space normal; font-size 120%; text-align center; } .trackrow { background-color #F0F0F0; box-shadow 0 2px #F9F9F9 inset, 0 -2px #F9F9F9 inset; } #trackinfo td ul { margin 0; padding 0; list-style none; } #trackinfo li { line-height 16px; } #trackinfo li nth-of-type(n+2) { margin-top 6px; } #trackinfo dl { margin 0; } #trackinfo dt { font-size small; font-weight bold; } #trackinfo dd { margin-left 1.2em; } #trackinfo dd + dt { margin-top .5em; } #trackinfo_help { position absolute; top 3px; right 8px; font-size 80%; } /** Media styling **/ #trackinfo .media th { background-color #D8D8D8; padding 4px 0; font-size 95%; text-align center; } .media td { padding 0 2px; } .media iframe nth-of-type(n+2) { margin-top 0.3em; } .youtube + .nicovideo, .youtube + .soundcloud, .nicovideo + .soundcloud { margin-top 0.75em; } .media_section { display flex; align-items center; text-align center; } .media_section before, .media_section after { display block; flex-grow 1; content ; height 1px; } .media_section before { margin-right 0.5em; background linear-gradient(-90deg, #888, transparent); } .media_section after { margin-left 0.5em; background linear-gradient(90deg, #888, transparent); } .media_notice { color firebrick; font-size 77.5%; } /** Around track styling **/ .next-track { float right; } /** Infomation styling **/ #trackinfo .info_header th { padding .3em .5em; background-color #D8D8D8; font-size 95%; } #trackinfo .infomation_show_btn_wrapper { float right; font-size 12px; user-select none; } #trackinfo .infomation_show_btn { cursor pointer; } #trackinfo .info_content td { padding 0 0 0 5px; height 0; transition .3s; } #trackinfo .info_content ul { padding 0; margin 0; max-height 0; list-style initial; transition .3s; } #trackinfo .info_content li { opacity 0; visibility hidden; margin 0 0 0 1.5em; transition .3s, opacity .2s; } #trackinfo .info_content.infomation_show td { padding 5px; height 100%; } #trackinfo .info_content.infomation_show ul { padding 5px 0; max-height 50em; } #trackinfo .info_content.infomation_show li { opacity 1; visibility visible; } #trackinfo .info_content.infomation_show li nth-of-type(n+2) { margin-top 10px; } /** Lyrics styling **/ #lyrics { font-size 1.06em; line-height 1.6em; } .not_in_card, .inaudible { display inline; position relative; } .not_in_card { border-bottom dashed 1px #D0D0D0; } .tooltip { display flex; visibility hidden; position absolute; top -42.5px; left 0; width 275px; min-height 20px; max-height 100px; padding 10px; border-radius 5px; background-color #555; align-items center; color #FFF; font-size 85%; line-height 20px; text-align center; white-space nowrap; opacity 0; transition 0.7s; -webkit-user-select none; -moz-user-select none; -ms-user-select none; user-select none; } .inaudible .tooltip { top -68.5px; } span hover + .tooltip { visibility visible; top -47.5px; opacity 0.8; transition 0.3s; } .inaudible span hover + .tooltip { top -73.5px; } .not_in_card span.hide { top -42.5px; opacity 0; transition 0.7s; } .inaudible .img { display inline-block; width 3.45em; height 1.25em; margin-right 4px; margin-bottom -3.5px; margin-left 4px; background-image url(https //img.atwikiimg.com/www31.atwiki.jp/touhoukashi/attach/2971/7/Inaudible.png); background-size contain; background-repeat no-repeat; } .not_in_card after, .inaudible .img after { content ; visibility hidden; position absolute; top -8.5px; left 42.5%; border-width 5px; border-style solid; border-color #555 transparent transparent transparent; opacity 0; transition 0.7s; } .not_in_card hover after, .inaudible .img hover after { content ; visibility visible; top -13.5px; left 42.5%; opacity 0.8; transition 0.3s; } .not_in_card after { top -2.5px; left 50%; } .not_in_card hover after { top -7.5px; left 50%; } .not_in_card.hide after { visibility hidden; top -2.5px; opacity 0; transition 0.7s; } /** For mobile device styling **/ .uk-overflow-container { display inline; } #trackinfo.mobile { display table; float none; width 100%; margin auto; margin-bottom 1em; } #trackinfo.mobile th { text-transform none; } #trackinfo.mobile tbody tr not(.media) th { text-align left; background-color unset; } #trackinfo.mobile td { white-space normal; } document.addEventListener( DOMContentLoaded , function() { use strict ; const headers = { title アルバム別曲名 , album アルバム , circle サークル , vocal Vocal , lyric Lyric , chorus Chorus , narrator Narration , rap Rap , voice Voice , whistle Whistle (口笛) , translate Translation (翻訳) , arrange Arrange , artist Artist , bass Bass , cajon Cajon (カホン) , drum Drum , guitar Guitar , keyboard Keyboard , mc MC , mix Mix , piano Piano , sax Sax , strings Strings , synthesizer Synthesizer , trumpet Trumpet , violin Violin , original 原曲 , image_song イメージ曲 }; const rPagename = /(?=^|.*
https://w.atwiki.jp/api_programming/pages/104.html
下位ページ Content HTTP通信文字化けが起きた パラメータの出力 レスポンスの「確認」 basic 認証 HTTP通信 接続先のURLへ情報を送信し、結果を保存する - @IT java.net.URL HttpURLConnection URLのインスタンスを作成。ここで接続先を指定する。 URLのインスタンスのopenConnectionで接続HttpURLConnectionを作成 パラメータはOutputStreamで出力するJavaによるHTTPリクエスト時のパラメータの渡し方 getResponceMessage()でレスポンスのボディを受け取る disconnect()で通信終了 URL url = new URL(strURL); HttpURLConnection con = (HttpURLConnection)url.openConnection(); connection.setDoOutput(true); connection.setUseCashes(false); connection.setRequestMethod("POST"); // 通信方法にPOSTを指定 // パラメータ送信 OutputStream os = uc.getOutputStream(); // POST用のOutputStreamを取得 PrintStream ps = new PrintStream(os); String postStr = "a=1 b=2 c=3"; ps.print(postStr);// データをPOSTする ps.close(); // 受信 InputStream is = uc.getInputStream(); // POSTした結果を取得 BufferedReader reader = new BufferedReader(new InputStreamReader(is)); String s; while ((s = reader.readLine()) != null) { System.out.println(s); reader.close(); uc.disconnect(); } 文字化けが起きた しばらく何事もなかったのに、Toodledoで新しいタスクを作成する処理を行っているときに、iPhone経由でのタスク登録にて文字化けが発生。（iPhone以外では、日本語のタスクを作成しなかった、とかではないと思うが。。。） アラートで表示 OK サーバでの受取での表示 OK Toodledo での受取 NG なので、servlet→toodledoの送信でだめ？っぽい。 文字コードをセットできる場所として PrintStream 生成時に UTF-8 を追加 [[PrintStream(java.io.OutputStream, boolean, java.lang.String) https //docs.oracle.com/javase/jp/6/api/java/io/PrintStream.html#PrintStream(java.io.OutputStream, boolean, java.lang.String)]] で、正常動作（文字化け回避）になった。 パラメータの出力 パラメータはOutputStreamで出力する (HttpURLConnection).getOutputStream でもOutputStreamはバイト文字列で表記とか、使いづらい。 当初、PrintWriterクラスを使っていたが、日本語を使う必要が出た際に、文字化けで詰まったので、 OutputStreamWriterクラスを使うようにした。 OutputStreamWriter osw = new OutputStreamWriter(connection.gerOutputStream(),"UTF-8"); osw.write(str); osw.close(); OutputStreamWriter PrintWriterを使うのが便利。 JavaによるHTTPリクエスト時のパラメータの渡し方 レスポンスの「確認」 System.err.println(httpcon.getResponseCode()) // 戻り値はint System.err.println(httpcon.getResponseMessage()) getResponseCode() getResponseMessage() HTTPステータスコード - Wikipedia basic 認証 http //x68000.q-e-d.net/~68user/net/java-http-url-connection-2.html https //developer.android.com/reference/android/util/Base64.html http //www.programing-style.com/android/android-api/android-basic-authentication/ 正式な？方法があるらしいが、代替的な方法で、client_id と client_secret をパラメータとして渡す方法もあるらしい。
https://w.atwiki.jp/mediaskin/pages/60.html
[Info] Title=機種別設定：3GPPファイル, MEDIA SKIN用設定 TitleE=Model 3GPP, for MEDIA SKIN Description=MEDIA SKINに向けて解像度を落とした設定です。音声はAAC音声となります。 DescriptionE=Setting adjusted for au by KDDI MEDIA SKIN. [Item0] Title=EZムービー / 映像 Xvid 384kbps 15fps 音声 AAC 96kbps 24kHz Stereo Command0= quot; quot; %AppPath% \cores\ffmpeg quot; -y -i quot; %InputFile% quot; -timestamp quot; %TimeStamp% quot; -bitexact -qmin 1 -qmax 31 -vcodec xvid -mbd 2 -4mv -trell -aic -fixaspect -s 320x240 -r 15 -b 384 -acodec aac -ac 2 -ar 24000 -ab 48 -f 3g2 -muxvb 192 -muxab 64 quot; %TemporaryFile% _1.3g2 quot; quot; Command1= quot; quot; %AppPath% \cores\QT3GPPFlatten quot; quot; %TemporaryFile% _1.3g2 quot; quot; %TemporaryFile% _2.3g2 quot; -c QT_3GPP2_QVGA_AAC.ini quot; Command2= quot; quot; %AppPath% \cores\ATOMChanger quot; quot; %TemporaryFile% _2.3g2 quot; quot; %OutputFile% .3g2 quot; quot;Camouflage_MOVIE_for_MEDIA_SKIN.ini quot; quot; [Item1] Title=EZムービー / 映像 H.264 384kbps 15fps 音声 AAC 96kbps 24kHz Stereo Command0= quot; quot; %AppPath% \cores\ffmpeg quot; -y -i quot; %InputFile% quot; -timestamp quot; %TimeStamp% quot; -bitexact -qmin 1 -qmax 51 -vlevel 13 -vcodec h264 -mbd 2 -4mv -trell -aic -fixaspect -s 320x240 -r 15 -b 384 -acodec aac -ac 2 -ar 24000 -ab 48 -f 3g2 -muxvb 192 -muxab 64 quot; %TemporaryFile% _1.3g2 quot; quot; Command1= quot; quot; %AppPath% \cores\QT3GPPFlatten quot; quot; %TemporaryFile% _1.3g2 quot; quot; %TemporaryFile% _2.3g2 quot; -c QT_3GPP2_QVGA_AAC.ini quot; Command2= quot; quot; %AppPath% \cores\ATOMChanger quot; quot; %TemporaryFile% _2.3g2 quot; quot; %OutputFile% .3g2 quot; quot;Camouflage_MOVIE_for_MEDIA_SKIN.ini quot; quot; Command3= quot;cmd /c quot;del quot; %TemporaryFile% *.* quot; quot; quot; [Item2] Title=EZムービー / 映像 H.264 288kbps 15fps 音声 AAC 96kbps 24kHz Stereo Command0= quot; quot; %AppPath% \cores\ffmpeg quot; -y -i quot; %InputFile% quot; -pass 1 -passlogfile quot;2pass.log quot; -timestamp quot; %TimeStamp% quot; -bitexact -qmin 1 -qmax 51 -vlevel 13 -vcodec h264 -mbd 2 -4mv -trell -aic -fixaspect -s 320x240 -r 15 -b 288 -an -f 3g2 -muxvb 192 quot; %TemporaryFile% _1.3g2 quot; quot; Command1= quot; quot; %AppPath% \cores\ffmpeg quot; -y -i quot; %InputFile% quot; -pass 2 -passlogfile quot;2pass.log quot; -timestamp quot; %TimeStamp% quot; -bitexact -qmin 1 -qmax 51 -vlevel 13 -vcodec h264 -mbd 2 -4mv -trell -aic -fixaspect -s 320x240 -r 15 -b 288 -acodec aac -ac 2 -ar 24000 -ab 48 -f 3g2 -muxvb 192 -muxab 64 quot; %TemporaryFile% _1.3g2 quot; quot; Command2= quot; quot; %AppPath% \cores\QT3GPPFlatten quot; quot; %TemporaryFile% _1.3g2 quot; quot; %TemporaryFile% _2.3g2 quot; -c QT_3GPP2_QVGA_AAC.ini quot; Command3= quot; quot; %AppPath% \cores\ATOMChanger quot; quot; %TemporaryFile% _2.3g2 quot; quot; %OutputFile% .3g2 quot; quot;Camouflage_MOVIE_for_MEDIA_SKIN.ini quot; quot; Command4= quot;cmd /c quot;del quot; %TemporaryFile% *.* quot; quot; quot; Command5= quot;cmd /c quot;del quot;2pass.log*.* quot; quot; quot;