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http //saki.2ch.net/visual/kako/986/986821176.html Part.011 http //saki.2ch.net/visual/kako/983/983725828.html Part.010 http //saki.2ch.net/visual/kako/982/982348916.html Part.009 http //saki.2ch.net/visual/kako/981/981393504.html Part.008 http //saki.2ch.net/visual/kako/979/979217774.html Part.007 http //saki.2ch.net/visual/kako/977/977996854.html Part.006 http //saki.2ch.net/visual/kako/976/976364390.html Part.005 http //saki.2ch.net/visual/kako/973/973949488.html Part.004 http //saki.2ch.net/visual/kako/973/973639847.html Part.003 http //saki.2ch.net/visual/kako/972/972138676.html Part.002 http //saki.2ch.net/visual/kako/968/968073057.html Part.001 http //saki.2ch.net/visual/kako/962/962381876.html COMPLETE BEST LUNA SEA GOD BLESS YOU~One Night Dejavu~2007.12.24 TOKYO DOME [DVD] LUNA SEA THE FINAL ACT TOKYO DOME [DVD] 真冬の野外 [DVD] [REW] [DVD] -
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概要 通称 クリスタルシーサーペント 生息地 Prism of Light 関連生物 deep sea serpent, sea serpent 名声 7500 カルマ -7500 戦利品 50-100 gold, Icy Heart, 誰かのダガー[Someone s Dagger], 結晶質の欠片 [Crystalline Fragments], 粉々のクリスタル [Crushed Crystal] (key of Shimmering Effusion), Lv3 Treasure Map 解体 8 Sea Serpent Scales, 10 Horned Hides, 10 生のあばら肉(Raw Ribs) アビリティ 特効 爬虫類, スネーク テイム可能値 - バード難度 83.6 ステータス ステータス HP スタミナ マナ STR DEX INT 最小 231 103 96 259 103 96 最大 323 141 151 411 141 151 抵抗 抵抗 物 炎 冷 毒 エ 最小 50 - 70 20 61 最大 70 - 90 22 90 ダメージ DMG 物 炎 冷 毒 エ 10-18(xx-xx) 10 45 45 スキル スキル 格闘 戦術 耐性 解剖学 毒 魔法 評価 瞑想 最小 60.6 60.5 61.5 0 - 0 0 0 最大 70 69.8 74.8 0 - 0 0 0 コメント 名前 コメント
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ユーザ様からの要望によりsearch2,search3プラグインに以下のオプションを追加しました パラメーター 説明 ignore=own 検索フォームを設置したページを検索結果に含まない 利用例) #search2(ignore=own) #search3(ignore=own)
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OSINT Market, Latest Market Research Future (MRFR) Report During industry trends 2030 Business Trends, Global Segments By Development, By Type, By Application Market Scenario The Global Open Source Intelligence (OSINT) Market was valued at USD 32.86 Billion during the forecast period, and it is expected to record a CAGR of 20.6% during the forecast period. Open Source Intelligence (OSINT) is intelligence derived from publicly available data that is gathered, evaluated, and disseminated to the appropriate audience promptly to meet a specific intelligence need. Although the open web is an important component, it is not restricted to what can be found via Google or other search engines. We can access hobbies, location, working status, community, and other raw data on social media sites like Facebook, Instagram, Twitter, and YouTube, which helps government security organizations to keep track of activities taking place across the world. Some of the drivers driving the market s growth are the increased availability of open-source data, as well as escalating cyber threats, terrorism, and other illicit practices. The vast amount of open-source material available, on the other hand, may limit the market s future expansion. OSINT is based on open-source data, which is unstructured, noisy, and raw. It is easily available and can be legally retrieved and edited. Increased public data availability is a driving element behind the operation of open-source intelligence systems. Social media, print media, digital media, articles, blog publications, online forums, videos, government reports, telephone directories, press conferences, journals, academic research papers, financial databases, patents, dissertations, and newsletters are just some of the places where data can be found. This information is freely accessible and lawful to use. Request a Free Sample @ https //www.marketresearchfuture.com/sample_request/4545 COVID-19 Analysis The business impact of SARS-CoV-2 has been felt across diverse sections of the information technology industry, albeit at different levels. Companies in the technology sector that supply services for verticals like travel, retail, hospitality, and entertainment have noted a dramatic decrease in sales, while the firms that provide services related to remote worker solutions have observed the opposite. Open-Source Intelligence ’s fate post pandemic has been relatively less grim compared to Education Services (ES) and Professional Services (PS) that are mostly dependent on components that are generally on-site. Novel coronavirus has Open-Source Intelligence 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 Open-Source Intelligence 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. Competitive Outlook The open source intelligence (OSINT) market is supported by easy availability of raw data. The population growth around the world and increasing demand of open source intelligence (OSINT) market based services and products also support the market growth. However, the open source intelligence (OSINT) market growth can be affected due to high volumes of unstructured data and lack of clear policies on certain online activities. The report covers all such details which will help companies in the open source intelligence (OSINT) market to strengthen their business plan and improve their product portfolio. The open source intelligence (OSINT) market research report also provides company profiles of major companies. The company profile of organizations operating in the open source intelligence (OSINT) market discusses strategies, growth plans, size, revenue, and mergers and acquisition details of top companies in the open source intelligence (OSINT) market. New entrants and established players can plan their strategies based on this data provided in the open source intelligence (OSINT) market research report. Segmentation The global open source intelligence (OSINT) market has been segmented based on technology, application, and security type. On the basis of technology, the market for open source intelligence (OSINT) is segmented based on bid data software, video analytics, text analytics, visualization tool, cyber security, web analysis, social media analysis, others. Additionally, the market on the basis of application, is segmented into military defense, homeland security, private sector, public sector, national security, others. The global market for open source intelligence (OSINT) is also covered based on security type segment which is further split into human intelligence, content intelligence, dark web analysis, link/network analysis, data analytics, text analytics, artificial intelligence, big data, others. Factors like increasing demand for data collection from foreign sources and rising penetration of smartphones and tablets, support the open source intelligence (OSINT) market growth. The performance of the open source intelligence (OSINT) market has also been studied for the past and current years. Additionally, the open source intelligence (OSINT) market report provides analysis of these segments. The open source intelligence (OSINT) market segmental analysis provided in the report offers major details about the open source intelligence (OSINT) market performance and future. Regional Analysis Companies in the open source intelligence (OSINT) market are spread across the world. The open source intelligence (OSINT) market report provides major information about regional markets of North America, Europe, Asia-Pacific (APAC), and the rest of the world. The North American open source intelligence (OSINT) market has many companies across the United States, Canada, and Mexico. Europe has companies in the open source intelligence (OSINT) market across Germany, France, Spain, Italy, and the United Kingdom. A detailed analysis of the open source intelligence (OSINT) market across India, China, and Japan in the Asia-Pacific region is also presented in the report. The open source intelligence (OSINT) market of the Middle East, Africa, and other regions has also been studied by analysts. The regional analysis of the open source intelligence (OSINT) market can be found in the market research report. Industry News The Quantuma business consultancy group bought the Alchemy asset recovery company located in Cayman Islands. Specialized in wealth and financial loss recovery, Alchemy, created by Angela Barkhouse in combination with financial fraud specialists, accounting forensics and insolvency professionals, uses artificial intelligence, data visualising and open source intelligence. 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 Browse Full Report Details @ https //www.marketresearchfuture.com/reports/open-source-intelligence-market-4545 List of Tables TABLE 1 MARKET SYNOPSIS 19 TABLE 2 GLOBAL OSINT MARKET, BY SECURITY TYPE, 2020–2027 (USD MILLION) 38 TABLE 3 GLOBAL OSINT HUMAN INTELLIGENCE MARKET, BY REGION, 2020–2027 (USD MILLION) 38 Continued… List of Figures FIGURE 1 GLOBAL OPEN-SOURCE INTELLIGENCE (OSINT) MARKET STRUCTURE 20 FIGURE 2 BOTTOM-UP AND TOP-DOWN APPROACHES 25 FIGURE 3 NORTH AMERICA OPEN-SOURCE INTELLIGENCE (OSINT) MARKET SHARE (%), BY COUNTRY (2020 2027) 28 Continued… Similar Report** Mobile Banking Market By Solution (Customer Management, Mobile Banking Features, Mobile Payment Features), By Technology (Wireless Application Protocol, Standalone Mobile Application), By Deployment (On-Cloud, On-Premise) Voice Assistant Market** https //mrfrinformation.tistory.com/615 Network-Attached Storage Market** https //telescope.ac/information-technology-Lc1XMRDqL/5WlKY9Kx4 Trending Report https //www.buymeacoffee.com/ubellapranC/osint-market-latest-market-research-future-mrfr-report 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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0.vwkit.jsによりUnity起動。 1.Network.Start() サーバとのコネクション確立。 2.Network.OnSocketConnect() コネクション確立成功後呼び出される。 MainUI.handleSocketOpened()をコール。 初期画面表示。 (GUIステータス_GUIStateはfirst_messageに移行) 3.初期画面をクリックすると、ログイン方法選択画面表示。 (GUIステータス_GUIStateはselect_login_methodに移行) 4.外部認証(twitter)を選択すると、vwkit.js内のgetTwitterAccessToken()をコール。 5.twitter画面にてログイン後、元のUnityページにコールバック。 6.vwkit.jsでtwitterからのコールバックの場合(vwk3dirbがある場合)、認証済みフラグvwk3difb=trueをセットし、リロード。 7.Unity再起動- コネクション確立後、vwkit.js内getTokenData()をコール。 8.vwkit.js getTokenData()にて、認証済み(vwk3difb=true)の場合、Network.weblogin_twitter()をコール。 9.サーバ(SessionValidationServerURL)に外部認証ログイン用チケットを要求。 10.サーバーは、外部認証アクセストークンを使い正しければ、WebLogin用チケットをUnityに返信。 11.取得したWebLogin用チケット使い、Network.SendWebloginData()によりログイン要求。 12.サーバは、Unityから送られたチケットが正しいことを確認し、ユーザ情報を返信。(ユーザ情報をサーバが記憶) 13.Network.OnSocketLogin() ログイン完了後呼び出される。 MainUI_Component.handleLoginResponse()をコール。 (GUIステータス_GUIStateはinput_avatarに移行) 14.アバター選択画面からアバターを選択すると、Network_Component.SendAvatarChoice()がコールされる。 15.Unityがサーバに選択アバター情報を通知 (アバター情報をサーバが記憶) 16.Network.OnSocketAvatarChoice()がコールされる。 MainUI_Component.handleAvatarChoiceResponse()をコール。 (GUIステータス_GUIStateはinput_roomに移行) 17.Network.SendJoinRequest()により、ルームに入室要求。 18.Network.OnSocketJoin()がコールされる。 MainUI_Component.handleJoinResponse()をコール。 (GUIステータス_GUIStateはin_roomに移行) 19.Network.OnSocketRoomUsers()がサーバからコールされる。 Main3D.InitializeOtherUsers() ルーム内の全ユーザアバターを表示。 20.Network.OnSocketIncomingUser()がサーバからコールされる。 Main3D_Component.AddNewAvatar() 入室したアバター(自分)を表示。 21.Main3D 画面内オブジェクトクリック時イベントを処理。 ※床(Layer groud)の場合は、移動処理を実施。 22.MainUI チャット入力等GUIからのイベントを処理。
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とりあえず自己紹介などを。 名前:Tear ※本来はtear-laなのだが、ちょっとした手違いで打ち込むのを忘れていて現在に至る。 基本だめな人です、はい。温かい目でみてやってください(汗 たまたま深夜やっていたKANONを見て以来、常識人の道をひたすらそれまくっている人。 アニメはよく見るものの、ゲーム自体をやったことはあまり無い。 リトルバスターズは、美魚、クド、小毬、来々谷のみクリア済み。 はじめてクリアしたヒロインということもあり、美魚にはとても愛着を持っている。 その影響で最近は若山牧水の歌集や随筆集、推理小説を読んでいたりする。 ちなみに、今の所クリアした全シナリオで泣いています。めちゃくちゃ涙もろいです。はい。 その一方で東方が最近のマイブームになっている。 一応全シリーズ(天則、ダブルスボイラーのぞく。)プレイ済みだが、ノーマル以上の難易度でクリアできないへたれである。 主に東方のアレンジBGMや二次創作を見るのが日課になっている。 お気に入りはこいし、小悪魔、映姫様など。 曲ならハルトマンの妖怪少女、ヴォヤージュ1969、60年目の東方裁判、ラストリモート、風神録の曲全般などなど。 アレンジで好きなのはたくさんあります。激しい曲から静かな曲、ヴォーカルのありからなしまで。 最近なのははじめました。はやてかわいいよはやて。PrayいいよPray(おぃ アニメと書籍を買いあさってる自分がいます。 基本乱読家です。何でも読みます。最近読んだラノベなら七花、ロープレ、文学少女,などなど。 禁書目録やバカテス、生徒会、シャナなどは読破済み。新刊買ってないけど(ぁ 一人でふらふら歩き回るのが好きな人。自由になったらあちこち旅しようと考えています。 ちなみに現在受験生。自重しろ、自分。勉強しろ、自分。 得意教科は社会全般。逆に英語はからっきしだめなので、ぼこるなら英語が狙い目(ぇ
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JBoss Developer Studio(JBoss Tools)でSeamアプリケーションを開発する準備をしてみる その2 16.変更せずに「Next 」を押す。 17.Seam Runtimeの横の「add...」を押す。 18.「Browse..」を押してJBoss Seam 2.0.2SP1のある場所を選択して「Finish」を押す。 19.Database Typsに「PostgreSQL」を選択し、 Connection profileの横の「New...」を押す。 20.「PostgreSQL JDBC Connection」を選択して「Next 」を押す。 20.Database Typsに「PostgreSQL」を選択し、Nameを入力する。 PostgreSQL-Seam-Sampleとして「Next 」を押す。 21.Select a driver form the drop-downの「...」を押す。 22.PostgreSQL→8.xを選択して「Add...」を押す。 23.Driver Nameに「PostgreSQL JDBC Driver」と入力して「OK」を押す。 24.「PostgreSQL JDBC Driver」を選択して「OK」を押す。 25.既存のDriver File(s)を選択して「Remove Jar/Zip」を押して消す。 「Add Jar/Zip」を押してダウンロードしたPostgreSQLのJDBCドライバーファイルを追加する。 Propertiesの欄を下記のように入力して「OK」を押す。 Connection URL: jdbc postgresql //127.0.0.1 5432 Database Name: seam Driver Class: org.postgresql.Driver Password: seam User ID: seam 26.画面のような状態にして「Test Connection」を押す。 Ping succeded と返ってきたら「Next 」を押す。 27.「Finish」を押す。 28.Deploy asでEARを選択し、 Recreate database tables and data on deployにチェックをいれて「Finish」を押す。 ※データベースのテーブルを起動する度にdrop and createしない場合は Recreate database tables and data on deployにチェックを入れない。 Sample-ejb/ejbModule/META-INF/persistence.xmlを修正すれば後で変更可能。 29.Seam 2.0.2SP1の開発準備が出来たのでJBossを起動してみる。 サーバを右クリックして「Start」を押す。 30.JBossが起動したらブラウザで http //localhost 8080/Sample にアクセスしてみる。 閲覧数: - 更新日:2008-08-16 23 52 07 (Sat) bookmark_hatena bookmark_delicious bookmark_livedoor bookmark_yahoo bookmark_nifty technoratiに登録 Buzzurlに登録 POOKMARK Airlinesに登録 bookmark_live link_trackback リンク元一覧: #ref_list @めもてっく is licensed under a Creative Commons 表示 2.1 日本 License.
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Every night in my dreams I see you. I feel you. That is how I know you go on. Far across the distance and spaces between us you have got to show you go on. Near, far, wherever you are, believe that the heart does go on. Once more, you opened the door here in my heart, and my heart will go on and on. Love can touch just one time, and last for a lifetime. And never let go till we re gone. Love was when I loved you, one true time I hold to. And my life will always go on. Near, far, wherever you are, believe that the heart does go on. Once more, you opened the door here in my heart, and my heart will go on and on. You re near, there s nothing I fear. And I know that my heart will go on. We ll stay forever this way. You re safe in my heart, and my heart will go on and on.
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こちらはDEAR配信動画第38弾のユーロビートのページになります! 動画を見たい方はURLを選択し、クリックor決定ボタンを押してみてね!! 今回のユーロは全4曲配信! ■最新曲3曲チェックポイント!■ 「JUNGLE FIRE feat. MOTSU」はVDJヤクマルによるオリパラユーロ! ◆公式PVの振りを生かしつつ、ユーロ風に仕上げました!疲れるけど、踊るとメッチャ楽しいので是非一緒に踊ってくださいね! byヤクマル 「アニマル (yuppy Eurobeat Mix)」は歌ってみた系でも大人気なボカロ曲のユーロver!キャッチーなメロディーと歌詞に合う可愛さ満点な振り付けになっています!あざとく可愛く踊ってくださいね♪ 「RUSSIAN ROULETTE」はコサックダンスな振りが印象的なユーロナンバー!イントロアウトロ部分のメロディーはロシア民謡「コロブチカ」、「TETRIS」のゲームでも耳馴染みがあるのではないでしょうか?とにかく楽しく踊る事がコツ!難しいパーツは無いので是非チャレンジしてみてください♪ 【DEAR vol.38再生リスト(YOUTUBE)】 YOUTUBEへ 【曲リスト】 No タグ 曲名 アーティスト YOUTUBE googleドライブ 1 新曲 JUNGLE FIRE feat. MOTSU 芹澤 優 YOUTUBE googleドライブ 2 新曲 アニマル (yuppy Eurobeat Mix) DECO*27 feat. 初音ミク YOUTUBE googleドライブ 3 新曲 RUSSIAN ROULETTE DELTA QUEENS YOUTUBE googleドライブ 4 再録曲 REBEL YELL CHERRY YOUTUBE googleドライブ DEAR(テクノ) vol.38へ DEAR(ユーロ) vol.37へ 無断転載禁止 Unauthorized reproduction prohibited. ■リンク集 トップページ メニュー ユーテクQ&A イベントリスト月一覧 DEAR配信動画一覧 ダンパ関係リンク集 ノンストCD選曲リスト ■アクセスカウンター 項目 カウンター 累計 - 今日 - 昨日 - 今見てる人 -
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GEARS 第零.五話前編・後編・終 第一話 第二話 第三話 第四話 第五話 第六話 第七話 第八話 第九話 第十話 第十.五話 第十一話 第十二話 第十三話 第十四話 第十五話 第十六話 第十六.五話 第十七話 第十八話 第十九話 最終話前編 最終話後編序・終 最終話後編.5話 EPILOGUE GEARS in X mas GEARS in X mas 2010 GEARS in Halloween 設定