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Convincing users to apply passwords to their user accounts is sometimes tough, but getting them to configure good strong passwords is even more of a challenge. Even after you ve explained their importance and outlined the potential dangers of choosing a weak password, most users will still opt for a basic or familiar password that they have no trouble remembering. Even worse, some users will configure a password in short term and then remove it once they get tired of typing it in. Understanding that old habits die hard, Windows XP Professional includes the capability to configure policy settings that enforce password requirements on all system users. For example, you can configure settings that control how often passwords must be changed, how long they must be, and even force users into selecting a reasonably strong password. As you ve already learned (by the fact that users can log on without a password), no such policy settings are enabled or enforced by default. If you want to get your system s security situation under control, however, the configuration of Password Policy settings is an absolute necessity.

) This option calculates an area, but adds a length instead of a perimeter For a circle, you get a circumference Although a polyline may have the exact same shape as an arc, you cannot calculate the area of an arc Polylines and splines can be open In this case the area is calculated as if you had drawn a line from the endpoint to the start point, but it does not include that last imaginary line when calculating the length To calculate the area of irregular shapes, you can keep a running total by using the Add option Start by specifying the first area Then use the Add option and specify a second area The result is the sum of the two areas You can continue to add areas You can also use the Subtract option to subtract areas.

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which is an instance of the Gaussian function mentioned in 3. This fact may be interpreted as follows. Suppose that we perform the experiment R times, where R is a large number. Then on average we expect a x b a total of PR times. The function fX (x) is called a Gaussian probability density function (pdf) with a mean of zero, and variance 2 . Recall Fig. 3.6, which shows the effect of changing 2 . In Monte Carlo simulations of digital communications systems, or for that matter any other system where randomness is an important factor, it is necessary to write programs that generate simulated random variables such as x. The MATLAB randn function will generate zero mean Gaussian random variables with variance 2 = 1. For example, x = randn(1, N ) will load N Gaussian random variables into the row vector x. Write a MATLAB routine to generate N = 1000 simulated Gaussian random variables (also called Gaussian variates) using randn. Count the number of times x satis es 1 x 1. Let this count be denoted C. Your routine must also use the trapezoidal rule to estimate the probability P = P [ 1 x 1] using erf(x) [de ned in Eq. (3.107)]. The magnitude of the error in computing P must be <0.0001. This will involve using the truncation error bound (9.33) in 9 to estimate the number of trapezoids n that you need to do this job. You are to neglect rounding error effects here. Compute C = P N . Your program must print C and C to a le. Of course, C. we expect C 9.20. Develop a MATLAB routine to ll in the following table, which uses the central difference approximation to the rst derivative of a function [i.e.,

Figure 12-7 shows an example of calculating the open area in an office floor plan by picking points The point objects show the points that were used to calculate the area and perimeter You can also use the BOUNDARY command to create one polyline or region from a complex area ( 16 covers boundaries and polylines) You can then use the Object option of the AREA command instead of picking points However, notice that BOUNDARY included the open doors in the area selected for the office floor plan, as shown in Figure 12-8..

Basic Data-Management Activities The Cost of Storage The Real Costs of Storage The Usage Pattern of Data in the Face of Large Volumes

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