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It can be argued that RAID 0+1 or RAID 1+0 volumes can safely withstand failure of half the number of drives. That s true. However, the chances of losing data are higher in a RAID 0+1 volume. In Figures 19-3 and 19-5, if disk A fails, data will still be available. That s good! Now in Figure 19-3 (RAID 0+1) data will be lost if D, E, or F fails out of the existing five disks. The chance of this occurrence is 60 percent (three out of five). In Figure 19-5 (RAID 1+0), data will be lost only if B fails out of the existing five disks. The chance of this occurrence is only 20 percent (one out of five disks). There is one more advantage to Raid 1+0, related to the amount of time taken to recover from a disk failure. Because there is no redundancy during this time period, it is critical to keep it as small as possible. If disk A fails in a RAID 0+1 volume (Figure 19-3), the entire stripe set 1 is off-lined. After A is replaced, data must be synced to all three disks: A, B, and C. In case of a Raid 1+0 volume (Figure 19-5), only disk A needs to be synced to recover from its failure.

If you re accustomed to editing gradients in earlier versions of Photoshop, you probably searched high and low for the key to opening the Gradient Editor dialog box, shown in Figure 6-12. Where s the Edit button that you clicked to open the dialog box in Version 5 In the Gradient palette menu On the Options bar Nope, and nope. The secret passageway to the dialog box as you already know if you read the Gradient options section earlier in this chapter is the color preview that appears at the left end of the Options bar. If you click the preview, you display the Gradient Editor dialog box; if you click the neighboring triangle, you display the Gradient palette, as shown earlier, in Figure 6-9.

Comparison of Greenhouse Film Exposed on Racks and a Greenhouse Khan and Hamid [62] have conducted a 3-year study on LDPE-based greenhouse lms exposed on racks as well as real operating greenhouse at Dhahran, Saudi Arabia. Weathering trials were conducted for 3 years. The LDPE lms 180 m

Theoretically, you can create a mirror image of an object by using this tool. But unless you re really going for a distorted mirror image, duplicate and flip it using the ordinary Duplicate and Flip commands. Dragging with the Reflection tool is too unpredictable for this purpose (remember, this is a tool intended to distort, not duplicate). You can, however, limit the distortion by freezing the area that you re going to copy, as explained in the next section. Then Alt-drag from the edge of the frozen area into the unfrozen region. After you drag with any of these tools, you can undo the effect by pressing Ctrl+Z. If you want to go further back in time or explore some additional reversion options, read the next section.

After you ve done this, assuming there are no problems (such as trying to move into a directory that doesn t exist or that you don t have permission for), the directory that you ve used as the target will become the new current (working) directory.

LIDAR. Automated tools are still needed to lter the data to remove noisy effects, and further study is needed on the accuracy rami cations. Turbulence modeling in atmospheric applications is critical to achieving proper effects across the different scales of the problem. Although RANS models are appropriate for steady-state or slowly evolving continuous release ows, LES is more appropriate for time-dependent and rapidly evolving ows. AMR techniques hold the potential to dramatically improve LES simulations by automatically increasing resolution in regions of high velocity gradients where the turbulent eddies are formed. We did not investigate the use of AMR with LES, nor the effects from embedded boundary representations on the LES predictions. These important effects require further investigation. Finally, it is important to point out the bene ts that infrastructures provided to this work. Developing from scratch a code that is able to perform large-scale parallel AMR computations on urban geometries consisting of thousands of buildings would have taken years of code development. By adopting the computational infrastructure SAMRAI, and the gridding libraries patchCubes and Eleven, we were able to leverage numerous capabilities that were originally developed and tested for other applications. The overall code framework developed through linking these infrastructures was applied to urban dispersion applications with FEM3MP, but only the serial numerical kernels are speci c to this application. The framework that manages parallel adaptive grid generation over complex urban topographies is general purpose and could be applied to any number of computational engineering applications.