05-08-2022, 04:22 AM
It's a lidar device, which is kind of like radar but instead of radio waves, it uses laser beams. Scientists use this NASA instrument, mounted on a small aircraft, to measure aerosols -- particles in the air. In a recent study, NASA teamed up with the U.S. Environmental Protection Agency (EPA) to measure smoke aerosols emitted during a wildfire in Myrtle Beach, S.C., in April 2009. As soon as the fire started to burn, scientists boarded a plane and started measuring the aerosols that were clouding the air. The data gathered from NASA's HSRL technology will help the EPA gain a better understanding of how wildfires affect air quality and develop more effective standards and guidelines for keeping the air clean. Up next is the environmental topic that's on everyone's mind. The Moderate Resolution Imaging Spectroradiometer on the Terra satellite documented images of fires on Borneo. As far as eco-concerns go, global warming is the potentially catastrophic issue du jour. This mount encodes all of the camera's movement (such as tilt, pan, zoom and focus). The data the mount produces helps the computers understand exactly what each camera is doing in real Another key piece is a computerized 3-D model of the field. The computers know exactly where the cameras are located in the 3-D model. Can orient the virtual first-down line on the field accordingly. The model also accounts for things like the crest of the field. The location of the yard lines on the field. Color palettes are also critical to the system. The computers must be able to distinguish between grass, on which the line should be painted, and everything else (players, referees, the ball, etc.), on which it should not. Color palettes solve this problem. The player does not have the line painted over his jersey because of the color palettes. These special computers' sole task is to record aspects of each camera's movement 30 times per second from the camera mount, and then send that data back to the production truck for analysis and use.|In a shared computing system, a user can access the processing power of an entire network of computers. Imagine that you've been assigned the task of pushing a very heavy car up a hill. You're allowed to recruit people who aren't doing anything else to help you move the car. You've got two choices: You can look around for one person big and strong enough to do it all by him or herself, or you could grab several average people to push together. While you might eventually find someone large enough to push the car alone, most of the time it will be easier to just gather a group of average-sized people. It might sound strange, but shared computer systems use the same principle. When a computational problem is really complex, it can take a single computer a long time to process it -- millions of days, in some cases. Even supercomputers have processing limitations. They're also rare and expensive. Many research facilities require a lot of computational power, but don't have access to a supercomputer. taiwan
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