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Claude Almansi

NCAM/Media Access Generator (MAGpie) - 0 views

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    ...The CPB/WGBH National Center for Accessible Media (NCAM) has developed two such tools, version 1.0 and 2.01 of the Media Access Generator (MAGpie), for creating captions and audio descriptions for rich media. ...
Ziem Merwin

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James OReilly

IBM Virtual Worlds 1Q 2008 roundup - 0 views

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    Mike Rhodin, General Manager of IBM Lotus software, recently made five predictions about the future of collaborative working. They included open standards, increase in IM and other real-time tools.
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James OReilly

Web 2.0 - Wikipedia - 1 views

  • veränderte Nutzung und Wahrnehmung des Internets
  • Die Benutzer erstellen und bearbeiten Inhalte in quantitativ und qualitativ entscheidendem Maße selbst.
  • Typische Beispiele hierfür sind Wikis, Blogs, Foto- und Videoportale (z. B. Flickr und YouTube), soziale Online-Netzwerke wie XING, MySpace, Facebook und studiVZ sowie Social-Bookmarking-Portale wie Delicious, aber auch die schon länger bekannten Tauschbörsen sowie Politcommunitys wie dol2day und Politik-digital. (Browser-)Spiele und virtuelle Welten (z.B. Second Life) beinhalten ebenfalls Web 2.0-Elemente.
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  • Folgende Entwicklungen haben ab etwa 2005 zur veränderten Nutzung des Internets beigetragen:
  • Anwender ohne überdurchschnittliche technische Kenntnis oder Anwendungserfahrung benutzen Datenspeicher im Internet (z. B. für Fotos)
  • Programme aktualisieren sich selbstständig über das Internet, laden Module bei Bedarf darüber nach, und immer mehr Anwendungen benutzen einen Internet-Browser als Benutzerschnittstelle.
  • Anwender mit kaum mehr als durchschnittlicher EDV-Kenntnis stellen eigene Beiträge auf Server (siehe User Generated Content), pflegen Weblogs und verlagern auch private Daten ins öffentliche Netzwerk.
  • Mit einem Rollen- und Rechtesystem kann unterschieden werden, wer welche Beiträge welcher Personen einsehen bzw. bearbeiten kann. Benutzer können dafür in Gruppen mit verschiedenen Rechten eingeteilt werden.
rainbowtraining1

Oracle Fusion Finance Functional Online Training - 0 views

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    Rainbow Training Institute is a leading training institute offering job oriented Oracle Fusion Finance Functional Online Training with experiance faculty with online support on Oracle Fusion Finance Functional Online Training in Hyderabad, Pune, Chennai, Mumbai, Bangalore. ORACLE FUSION PROCUREMENT COURSE CONTENT: FUNCTIONAL SETUP MANAGER OVERVIEW Getting Started in Oracle Fusion Applications Overview of Oracle Fusion Functional Setup Manager Overview of the Functional Setup Manager Implementation Overview Browsing and Configuring Offerings DEFINE COMMON APPLICATIONS CONFIGURATION Defining Enterprise Structures Configuring Enterprise Structures Overview Defining Geographies Defining Legal Jurisdictions and Authorities Managing Legal Entities Managing Legal Reporting Units Managing Business Units ORACLE FUSION GENERAL LEDGER Defining Chart of Accounts Defining Segment Values Assigning Segment Attributes Validation and Value Sets Assigning Segment Labels Creating Chart of Accounts Structure Chart of Account Instance Create Account Hierarchies Maintain Segment Value Attributes Deploy Flex fields Enabling Account Combinations Manage Segment Value Attributes Defining Segment Value Security Rules Creating Calendar Creating Currency Sharing Ledger Components Across Oracle Applications Accounting Configuration Prerequisites Building the Chart of Accounts Structure Create Account Hierarchies Maintain Segment Value Attributes Deploy Flex fields Enabling Account Combinations Manage Segment Value Attributes Defining Segment Value Security Rules Define Cross Validation Rules Define Data Access Set Define Currencies Define Rate types Import Daily Rates Define Primary Ledger Define Reporting Currencies Reporting Currencies Conversion Levels Define Secondary Ledgers Secondary Ledgers Conversion Levels Secondary Ledgers Mapping Define Secondary to Reporting Currencies Reporting Currencies Conversion Levels Balance Cubes Overview Define Budget Over view of Intercompany Ove
Mark Smith

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    Seeking for the attractive financial provision to generate the additional amount of funds?
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James OReilly

SpringerLink - Journal Article - 1 views

  • Power shifts in web-based translation memory
  • The study finds that, while the interests of most stakeholders in the localisation process are well served by this web-based arrangement, it can involve drawbacks for freelancers.
  • translators lose autonomy through an inability to retain the linguistic assets they generate.
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  • Web-based translation memory (TM) is a recent and little-studied development that is changing the way localisation projects are conducted.
  • how it shapes the translator’s working environment.
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    Power shifts in web-based translation memory
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James OReilly

Future Web-Based Translation Environments - 0 views

  • Title: Future web-based translation environments  Presenter: Stefan Kreckwitz For many years Web applications have found their way into the translation industry. These applications were predominantly limited to terminology systems and project portals. As is common for conventional Web applications, the user interaction was read-only or form-based. In the meantime, Web 2.0 appeared as a term for the new generation of Web applications. Apart from social aspects, Web 2.0 designates a combination of technologies, which can enable rich user interfaces and PC-equivalent interactivity. Some manufacturers of translation software have recognized the potential of Web 2.0 and work on Web-based translation environments. The advantages of these solutions are promising. But at present Web-based translation environments are quite restricted in comparison to the market-leading Windows applications.  The talk is about the challenges and opportunities of prospective Web-based translation environments. Apart from the functional convergence to Windows-based counterparts, the talk addresses ideas like "software as a service" and the harnessing of collective intelligence.
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James OReilly

Grid computing - Wikipedia, the free encyclopedia - 0 views

  • CERN, one of the largest users of grid technology, talk of The Grid: "a service for sharing computer power and data storage capacity over the Internet."
  • Grids can be categorized with a three stage model of departmental grids, enterprise grids and global grids.
  • World Community Grid Global November 2004 unknown
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  • According to John Patrick, IBM's vice president for Internet strategies, "the next big thing will be grid computing
  • It is a form of distributed computing whereby a "super and virtual computer" is composed of a cluster of networked, loosely coupled computers, acting in concert to perform very large tasks.
  • It can be small -- confined to a network of computer workstations within a corporation, for example -- or it can be a large, public collaboration across many companies or networks.
  • "Distributed" or "grid" computing in general is a special type of parallel computing[citation needed] that relies on complete computers
  • connected to a network
  • by a conventional network interface, such as Ethernet.
  • The primary advantage of distributed computing is that each node can be purchased as commodity hardware, which when combined can produce similar computing resources to a multiprocessor supercomputer, but at lower cost.
  • One feature of distributed grids is that they can be formed from computing resources belonging to multiple individuals or organizations (known as multiple administrative domains). This can facilitate commercial transactions, as in utility computing, or make it easier to assemble volunteer computing networks.
  • Grids offer a way to solve Grand Challenge problems such as protein folding, financial modeling, earthquake simulation, and climate/weather modeling.
  • The European Union has been a major proponent of Grid computing.
  • According to John Patrick, formerly IBM's vice president for Internet strategies, "the next big thing will be grid computing." [1]
  • back-office data processing in support of e-commerce and Web services.
  • European DataGrid (EDG) and is arguably the largest computing grid on the planet
  • along with the LHC Computing Grid [5] (LCG), has been developed to support the experiments using the CERN Large Hadron Collider. The LCG project is driven by CERN's need to handle huge amounts of data, where storage rates of several gigabytes per second (10 petabytes per year) are required.
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