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Here are the first few lines of output displayed by the program:
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As shown in Table 2.2, there are a number of CASE tools that provide extensive function ality for database development. Each product in Table 2.2 supports the full life cycle of information systems development although the quality, depth, and breadth of the features may vary across products. In addition, most of the products in Table 2.2 have several
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Quadratics The next most complicated function is the quadratic (see Fig. 1-9), and the simplest quadratic is y = x2, a curve of increasing slope, symmetric about the y-axis (y has the same value for x = + or - 1, + or - 2, etc.). This symmetry property is very uselid in graphing. Quadratics are also called parabolas. Adding a constant to obtain y = x2 + c serves to move the curve up or down the y-axis in the same way the constant term moves the straight line up and down the y-axis.
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The prototype for ftell( ) is found in <stdio.h>. The ftell( ) function returns the current value of the file position indicator for the specified stream. This value is the number of bytes the indicator is from the beginning of the file. The ftell( ) function returns 1L when an error occurs. If the stream is incapable of random seeks if it is the console, for instance the return value is undefined.
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NOTE Administrative access to the user s computer is required to install the full client. If administrative access is not available, though, the client runs with reduced functionality.
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represent the same time value of $1.00. So to rephrase what we said in the previous paragraph, a dollar today is the same as something more than a dollar in the future, and something less than a dollar in the past. The term for adjusting the $1.00 across time to become a higher future number is called future valuing; reducing it by going backward in time is present valuing. Present valuing is also called discounting, although you can use it to describe future valuing by saying discounting forward. We used the idea of an interest rate above, but the rate for looking at time value of money is usually called the discount rate. Back to our functions. You should keep in mind the following points. If you are dealing with annual periods, the NPV and IRR functions will work perfectly for your calculations. These functions use the spacing of the columns, with data in each
%USERPROFILE%\Application Data\ICAClient CACHE DIR %DATE% APPSRV.INI UISTATE.INI WFCLIENT.INI wfcwin32.log 1.9KB (1957 bytes) 0.1KB (109 bytes) 0.5KB (553 bytes) 0.2KB (159 bytes) %DATE% %DATE% 2/20/2004 %DATE%
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meet the load up to the area of full load torque, and far beyond it up to the maximum torque point (a maximum torque of 350 percent rated torque is typical). Speed and torque are relatively easy to handle and determine in an induction motor. So are reversing and regenerative braking. If you reverse the phase sequence of its stator supply (that is, reverse one of the windings), the rotating magnetic field of the stator is reversed, and the motor develops negative torque and goes into generator action, quickly bringing the motor to a stop and reversing direction (see Figure 6-10). Regenerative braking action pumping power back into the source is readily accomplished with induction motors. How much regenerative braking you apply creates braking (moves the steady state induction motor operating point down the
to operate, since enrollment is delayed until an administrator is available, and administrators are diverted from other tasks to enroll new users. Enrollment costs also increase if an identification capability is required to guard against the problem of a person enrolled with multiple identities. Systems that support self-enrollment can eliminate many or all of these costs. Biometric systems will have a failure to enroll rate (FTER). That is, a certain small percentage of the enrollment population will not be able to provide the biometric sought. This is because, as biometric expert Dr. James Wayman has so aptly noted: The human body is weird. Those with no hands lack fingerprints. Of those of us with fingerprints, not all of us (1 4 percent, depending on the source) have good enough quality fingerprints to use in automated biometric applications, due to occupational, environmental, and other factors.
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