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From Table 6-7 we nd that the over ow probability with bucketing is less than 67% (actually 47%) versus the 227% for single record slots, each with their maximum To demonstrate the space versus over ow trade-o more vividly we will use the same standard deviation = 20 used in Example 6-3, but applied to smaller records (Rbar = 66 vs 180) so that the e ect will be even more pronounced Given is also n = 10 000 and B = 762 Now, with the average Rbar = 66, an initial value of nblock = 762/66 = 11, and the number of unused characters per block G = 762 66 11 = 36 The total le will occupy b = 10 000/11 = 910 blocks With record = 20 the block for the sequence of 11 records is 20 11 = 6633 and the meanblock is 11 66 = 726 characters Table 6-7 indicates for t=36/6633=054 a probability of over ow of about 295% per block If we allocate and link an over ow block to each over owing primary block 910 0295 = 269 additional blocks will be required The total used for this le is now 1179 blocks If, on the other hand, only nblock = 10 entries are placed in every block, then 1000 primary blocks are needed instead of 910, but 102 characters are available to cope with the variability of the length of the entries This makes t = 154 and reduces the over ow to 62% or 62 blocks This generates a net saving of 1179 (1000 + 62) = 117 blocks There will also be a proportional savings in expected access time A further reduction to nine entries reduces the over ow probability to 061% but requires a total of 1118 blocks instead of 1062 The expected access time will still be slightly reduced.

72 DPI is the resolution of a standard computer screen, and a TV set as well There is nothing to prevent you from creating your Image in a higher DPI resolution (150 or 300 DPI), but you MUST reduce the DPI resolution to 72 DPI if you expect the finished files to operate properly within DVD Studio Pro This is an ABSOLUTE requirement RGB is the proper Photoshop Color Space in which to create We will STILL have to be conscious of our image, while composing as the RGB color space allows millions more colors than can be accurately displayed in the NTSC Video world! Yow!

Sec 6-1

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It is argued that the 720 534 dimension is MORE correct for a DVD Image than the 720 540 NTSC 601 image Interestingly, note that there IS NO such controversy for PAL, which is properly fixed at the opening image size of 768 576 (which will later be reduced to 720 576 for a DVD Image) In many ways, PAL authors have an easier time than NTSC authors do there s only one PAL setting (See Fig 15-7)

It is sometimes wise to use a value of nblock which is less than the value computed based on the average, to reduce the probability of over ows further In dense les over ows can be costly and using some additional space can provide a good trade-o Example 6-4 shows this e ect also, using small variable-length records

Figure 810 The company was immeasurably stronger and better able to weather the future debacle in the telecommunications industry than any of its competitors

6-1-5 The Poisson Distribution Poisson distributions occur due to independent events The shape of the Poisson distribution is fully described by the value of the mean of the observations, since in this distribution the mean and the variance are equal The variance is the standard deviation squared, 2 To avoid introducing another symbol for the variance, we will use 2 or sd**2 as appropriate To compare an observed distribution with the curve describing a Poisson distribution, the corresponding values can again be computed The program segment in Table 6-8 computes expected values for event counts from 0 to 20 following a Poisson distribution

There exists a controversy over exactly WHICH size is the proper size to begin a DVD Image document Adding fuel to this fire is Adobe s recent inclusion of DOCUMENT PRESETS in the New dialog that provide not one but TWO different NTSC screen sizes (ignoring, for a moment, widescreen Images)

Table 6-8

Yet a Third Approach to Image Dimensions!

Poisson distribution for 21 categories /* 6-8 */

portfolio in the belief that they could be improved to a point of profitability As you ll see later in this chapter, the Complexity Equation allows you to test this suspicion by seeing just how much you have to improve the various components of PCE to reach a point where EP becomes positive The basic approach to simplifying product or service designs or configurations is known as commonality, where you look for ways to reduce the number of internal parts, components, tasks, etc, while still offering a full variety of offerings to customers A low % commonality score is another indication that there is potential for improving EP by looking for increasing crossover in product or service components

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