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Most measures can be aggregated over time; other measures are valid at only one point in time. These are often referred to as semi-additive measures. Measures such as inventory, account balances, and number of customers are good examples of semi-additive measures (see 9, Figure 9-2 for further discussion). These measures are valid at only one particular point in time. Often, though, users will want to compare them with other measures that can be aggregated over time as shown in the following table:
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Class maps identify the traffic that you want to assign one or more policies to. Cisco supports different kinds of class maps: Layer 3/4 You classify traffic based on information the appliance sees in the layer 3 and/or layer 4 packet headers, like web traffic (TCP port 80) sent to a DMZ web server with an IP address of 192.1.1.1. Inspection (layer 7) You classify traffic based on information in the application payload of a packet, like someone executing the put command on an FTP
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Color Mask docker cannot do is distinguish between subtle variations in differing hues. For example, if you have a maroon background with a pink foreground object you want clipped out, no can do. Maroon contains heavy concentrations of tone in its red color channel, and so does pink, although to a lesser extent. The Bitmap Color Mask looks at colors in channels in an image; unless you re trying to mask a GIF indexed color image (a file structure that doesn t use color channels, but instead uses a color index), your recourse is to use PHOTOPAINT or to manually trim the image using the methods described earlier. However, lots of professionals receive object against pure white photos every day and now you will, too, to experiment with in the following tutorial. Download Beach.png and Beach ball.png. Here s a quick little tutorial that shows how to auto-mask images such as Beach ball.png for easy compositing work in CorelDRAW.
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Although security should permeate all aspects of the project design plan, a specific security strategy should be identified. Firewall integration, account management, auditing, and the Terminal Server Registry and Active Directory Group Policies should all be included. (Security is discussed more thoroughly in 6.)
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ciscoasa(config)# crypto ipsec transform-set set_name [{esp-3des | esp-aes | esp-aes-192 | esp-aes-256 | esp-des | esp-null}] [{esp-md5-hmac | esp-sha-hmac | esp-none}]
19The AES/EBU standard for serial digital audio specifies a 163 ns clock rate with 20 ns of jitter. The full 40 ns range is 24 percent of the unit interval. Testing has shown that correct data values are received with bandwidths as low as 400 kHz. Jitter in the recovered clock is reduced with wider bandwidths up to 5 MHz. The CD Orange Book specifies a maximum of 35 ns of jitter, but also recommends that total jitter in the readout system be less then 10 percent of the unit interval (that is, 23 ns out of 230 ns). The DVD-ROM specification states that jitter must be less than 8 percent of the channel bit clock period (8 percent of 38 ns comes to approximately 3 ns of jitter). In BD, layer 0 jitter must be less than 0.98 ns (6.5 percent of the 15 ns channel clock period) and layer 1 jitter must be less than 1.28 ns (8.5 percent).
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hash file b e c o m e s too full, a reorganization is necessary. A reorganization can be timeconsuming and disruptive because a larger hash file is allocated and all logical records are inserted into the n e w file. To eliminate reorganizations, dynamic hash files have been proposed. In a dynamic hash file, periodic reorganization is never necessary and search performance does not degrade after many insert operations. However, the average number o f physical record ac cesses to retrieve a record may be slightly higher as compared to a static hash file that is not too full. The basic idea in dynamic hashing is that the size o f the hash file grows as records are inserted. For details o f the various approaches, consult the references at the end o f this chapter. Another problem with hash files is sequential search. G o o d hash functions tend to spread logical records uniformly a m o n g physical records. Because o f gaps between physi cal records, sequential search may examine empty physical records. For example, to search the hash file depicted in Figure 8.8, 100 physical records must be examined even though only six contain data. Even if the hash file is reasonably full, logical records are spread among more physical records than in a sequential file. Thus, w h e n performing a sequential search, the number o f physical record accesses may be higher in a hash file than in a se quential file.
A 34-year-old woman noticed an enlarging skin lesion on her left shoulder. She waited 5 months before going to her dermatologist. Globules identify a melanocytic lesion. There is asymmetry of color and structure, and a homogeneous global pattern. One cannot be sure whether there is true regression or hypopigmentation. The differential diagnosis includes nodular melanoma, atypical dermatofibroma, and hypopigmented seborrheic keratosis. 5. This could not be a nodular melanoma because the lesion is dark clinically and light dermoscopically. 1. 2. 3. 4.
Reporting and Analysis
13:
Variables and Cells
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