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The capture attribute takes as its value a string that specifies which camera to use for capture of image or video data, if the accept attribute indicates that the input should be of one of those types.

Note: Capture was previously a Boolean attribute which, if present, requested that the device's media capture device(s) such as camera or microphone be used instead of requesting a file input.

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If I right-click the .dsn file in explorer, and click properties, the read-only checkbox is not checked. I can rename, copy and delete the file no problem (I have a backup). If I delete the opj file, and open the .dsn, at first, things are fine - I can edit and save. I then close the application, and the .opj file appears. When I open the .opj file, OrCAD capture complains that the file is read only. What the heck is going on?

And your solution works!

NEVER uncheck the box that says "Save design name as UPPERCASE" in OrCAD Capture or you will be befuddled.

By default, the box is checked.

Only when you start playing with TCL scripts will you happen to discover how to make OrCAD capture behave irrationally.

Azure Event Hubs enables you to automatically capture the streaming data in Event Hubs in an Azure Blob storage or Azure Data Lake Storage Gen 1 or Gen 2 account of your choice, with the added flexibility of specifying a time or size interval. Setting up Capture is fast, there are no administrative costs to run it, and it scales automatically with Event Hubs throughput units in the standard tier or processing units in the premium tier. Event Hubs Capture is the easiest way to load streaming data into Azure, and enables you to focus on data processing rather than on data capture.

Event Hubs Capture enables you to specify your own Azure Blob storage account and container, or Azure Data Lake Storage account, which are used to store the captured data. These accounts can be in the same region as your event hub or in another region, adding to the flexibility of the Event Hubs Capture feature.

When you use no code editor in the Azure portal, you can capture streaming data in Event Hubs in an Azure Data Lake Storage Gen2 account in the Parquet format. For more information, see How to: capture data from Event Hubs in Parquet format and Tutorial: capture Event Hubs data in Parquet format and analyze with Azure Synapse Analytics.

Event Hubs Capture enables you to set up a window to control capturing. This window is a minimum size and time configuration with a "first wins policy," meaning that the first trigger encountered causes a capture operation. If you have a fifteen-minute, 100 MB capture window and send 1 MB per second, the size window triggers before the time window. Each partition captures independently and writes a completed block blob at the time of capture, named for the time at which the capture interval was encountered. The storage naming convention is as follows:

If you enable the Capture feature for an existing event hub, the feature captures events that arrive at the event hub after the feature is turned on. It doesn't capture events that existed in the event hub before the feature was turned on.

The capture feature is included in the premium tier so there is no additional charge for that tier. For the Standard tier, the feature is charged monthly, and the charge is directly proportional to the number of throughput units or processing units purchased for the namespace. As throughput units or processing units are increased and decreased, Event Hubs Capture meters increase and decrease to provide matching performance. The meters occur in tandem. For pricing details, see Event Hubs pricing.

You can create an Azure Event Grid subscription with an Event Hubs namespace as its source. The following tutorial shows you how to create an Event Grid subscription with an event hub as a source and an Azure Functions app as a sink: Process and migrate captured Event Hubs data to a Azure Synapse Analytics using Event Grid and Azure Functions.

To enable capture on an event hub with Azure Storage as the capture destination, or update properties on an event hub with Azure Storage as the capture destination, the user or service principal must have an RBAC role with the following permissions assigned at the storage account scope.

The Carbon Capture and Sequestration (CCS) Protocol applies to CCS projects that capture carbon dioxide (CO2) and sequester it onshore, in either saline or depleted oil and gas reservoirs, or oil and gas reservoirs used for CO2-enhanced oil recovery (CO2- EOR). The CCS Protocol applies to both new and existing CCS projects, provided the projects meet the requirements for permanence pursuant to section C of this protocol.

Value capture strategies generate sustainable, long-term revenue streams that can help repay debt used to finance the upfront costs of building infrastructure, such as transit projects. Revenue from value capture strategies can also be used to fund the operations and maintenance costs of transit systems.

Value capture strategies are public financing tools that recover a share of the value transit creates. Examples of value capture strategies used for transit include: tax increment financing, special assessments, and joint development.

Done well, value capture optimizes the benefits for both the public and private sectors. This requires close coordination to ensure that the transit investments are designed to maximize value creation and that the value capture strategies recoup enough funding for transit without creating disincentives for development.

Most value capture strategies are local matters. States establish the legal and regulatory framework for revenue/financing strategies, and cities and counties hold the land use implementing authority over revenue/taxing, business districts, and zoning, etc. Land owners determine the use of their land. Transit agencies, like any other land owner, must work with local governments to establish value capture strategies that use property and sales taxes, or development impact fees. The federal government does not have the legal authority to regulate local land use.

When transit agencies own land, particularly land acquired with federal transit funding, they can realize opportunities for transit-supportive value capture strategies. FTA plays a direct role in helping make that happen.

Joint development is a value capture strategy allowing a transit agency to coordinate with developers to improve the transit system and, at the same time, develop real estate in ways that share costs and create mutual benefits. Joint development creates revenue streams for transit that can be used to cover operating expenses and finance capital projects. For example, a transit agency might convert a publicly owned park-and-ride lot into a mixed-use development of offices and housing. When new FTA funding or land previously acquired with FTA funding is used for a joint development, it must go through an FTA approval process.

A wide variety of information and technical assistance regarding value capture is available to potential project sponsors. Please view the resources listed below or contact FTA using the information on the right side of this page for further assistance.

Motion capture (sometimes referred as mo-cap or mocap, for short) is the process of recording the movement of objects or people. It is used in military, entertainment, sports, medical applications, and for validation of computer vision[3] and robots.[4] In filmmaking and video game development, it refers to recording actions of human actors and using that information to animate digital character models in 2D or 3D computer animation.[5][6][7] When it includes face and fingers or captures subtle expressions, it is often referred to as performance capture.[8] In many fields, motion capture is sometimes called motion tracking, but in filmmaking and games, motion tracking usually refers more to match moving.

In motion capture sessions, movements of one or more actors are sampled many times per second. Whereas early techniques used images from multiple cameras to calculate 3D positions,[9] often the purpose of motion capture is to record only the movements of the actor, not their visual appearance. This animation data is mapped to a 3D model so that the model performs the same actions as the actor. This process may be contrasted with the older technique of rotoscoping.

Camera movements can also be motion captured so that a virtual camera in the scene will pan, tilt or dolly around the stage driven by a camera operator while the actor is performing. At the same time, the motion capture system can capture the camera and props as well as the actor's performance. This allows the computer-generated characters, images and sets to have the same perspective as the video images from the camera. A computer processes the data and displays the movements of the actor, providing the desired camera positions in terms of objects in the set. Retroactively obtaining camera movement data from the captured footage is known as match moving or camera tracking.

The first virtual actor animated by motion-capture was produced in 1993 by Didier Pourcel and his team at Gribouille. It involved "cloning" the body and face of French comedian Richard Bohringer, and then animating it with still-nascent motion-capture tools.

There are many applications of Motion Capture. The most common are for video games, movies, and movement capture, however there is a research application for this technology being used at Purdue University in robotics development. 006ab0faaa