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cezarovidiu

Convert VirtualBox (vdi) hard drive image to VMWare (vmdk) format » MikeBeach... - 0 views

  • Example (Windows):

    1"c:Program FilesOracleVirtualBoxVBoxManage.exe" clonehd "Win XP.vdi" xp.vmdk  --format vmdk --variant standard
  • Example (Linux):

    1VBoxManage clonehd "Win XP.vdi" xp.vmdk  --format vmdk --variant standard
  • Next, open VMWare and select Create a new virtual machine Select “I will install the operating system later” Make your OS selection about the OS that’s currently on the vmdk you will be using. (The guest OS, not the host OS). Later on, you will have the option to use an existing vmdk image as your virtual hard drive. Do so. You should now be able to finish setup and boot your converted disk image.
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  • Absolute path to VBoxManage is necessary unless it’s in the Windows $PATH.
cezarovidiu

Dancing and Wrestling with Oracle APEX: Apex and FusionCharts (or There be dragons at t... - 0 views

  • All of which led me to FusionCharts, which is a brilliant set of flash charts and widgets.
  • All I had to do was figure out how to integrate it into my app. First I had to write a function to extract the data I needed from my database and output it as correctly-formatted XML. That bit was easy so I won't bore you with it.
  • Next I uploaded the Flash (SWF) file for my chart into my workspace. (Tell me something: when you upload an image to your application using Apex's image uploader you refer to it by pointing at # APP_IMAGES#, so how do you think you'd refer to a file you've uploaded using Apex's file uploader? #APP_FILES#? Wrong! Illogically, all files uploaded into your application should be pointed at using the #APP_IMAGES# substitution string.)Finally, I created a dynamic PL/SQL content region outputting the necessary wrapper tags for my Flash movie (which I copied from the FusionCharts examples), pointing it to my uploaded swf file and feeding it the XML from my database function (which I call in "before regions" page process).
cezarovidiu

Analyzing Human Data: Take a Dive to Find Out What Your Customers Really Feel - Content... - 0 views

  • What really interests me, and what I think should interest marketers, is what I’ll call signals – one of which is intent. Intent is critical because it can predict action. For example, “Is this person shopping to buy a product like my product?” “Is this person unhappy and needing some form of attention?” “Is this person about to return the product for a reason that is addressable?”
  • Sentiment is one ingredient of intent. If someone is happy, sad, angry … that can be determined via sentiment analysis technologies.
  • Many tools struggle with context.
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  • An example I hear over and over again is “thin” – good when you’re talking about electronics, but bad if you’re talking about hotel walls or the feel of hotel sheets. To do sentiment analysis correctly, you need refinement. You need customization for particular industries and business functions.
  • The market, unfortunately, is polluted with tools that claim to have sentiment abilities, but are too crude to be usable. Even with refinement (e.g., the ability to handle negators and contextual sentiment), approaches that deliver only positive and negative ratings don’t take you very far.
  • There are definitely easy, inexpensive entry points that can meet basic, just-getting-started needs: tools for social listening, survey analysis, customer service (handling contact-center notes, for instance), customer experience (via analysis of online reviews and forums), automated email processing, and other needs. These technologies are user friendly, available on demand, as a service.
  • Text mining:
  • Digital Reasoning, Luminoso and AlchemyAPI.
  • Image recognition and analysis: Image analysis now automatically identifies brand labels in pictures.
  • VisualGraph (now owned by Pinterest), Curalate, Piqora (nee Pinfluencer), and gazeMetrix.
  • Emotional analysis in images, audio, and video: These companies promote analysis of speech and facial expression primarily for structured studies
  • • Affectiva conducts webcam emotional analysis for media and ad research, including development tools to integrate emotional study in mobile apps. • Emotient performs emotional analyses in retail environments, evaluating signage, displays, and customer service. • EmoVu by Eyeris tests the engagement level of both short- and long-form video content. • Beyond Verbal studies emotion based on a person’s voice in real time.
cezarovidiu

Add colors or images to your select list | Inside Oracle APEX by Patrick Wolf - 0 views

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    "style="background-color:red'"
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