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A well-managed program of benchmarking the network, then monitoring performance vis-a-vis the benchmarks, allows the network manager to track performance trends and take action before performance degrades enough to seriously affect users. Such a program is called proactive performance management, and depends on nonintrusive testing and automatic monitoring of performance trends.
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three_d three_d::operator+(three_d op2) { three_d temp(0, 0, 0); temp.x temp.y temp.z return } int main() { three_d a(1, 2, 3), b(2, 3, 4); cout << a << b; cout << b+100; cout << "\n"; = x+op2.x; = y+op2.y; = z+op2.z; temp;
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Downloaded from Digital Engineering Library @ McGraw-Hill ( Copyright 2004 The McGraw-Hill Companies. All rights reserved. Any use is subject to the Terms of Use as given at the website.
7. Using the FD diagram (Figure 7.PI) and the FD list (solution to problem 6) as guidelines, make a table with sample data. There are two candidate keys for the underlying table: the combination
For many years much research has been directed toward identifying and tabulating suitable functions to de ne cam motion segments which produce good dynamic response. Neklutin (1952) contributed much in this area. Freudenstein (1960) observed that cam dynamics could be improved by minimizing the harmonic content of the motion and developed a family of low harmonic curves that minimized the peak acceleration. The next four sections of this chapter each explore a method for determining optimal or at least near-optimal cam curves for any particular set of requirements (mainly lift, operating speed, system natural frequency, and duration). These methods allow a designer to systematically obtain a near-optimal cam curve directly for whatever system is being developed. The designer does not have to choose a curve which is known to have good vibration characteristics and hope for the best nor must a variety of curves be selected to nd the best one through analysis. Wiederrich (1981) showed, by applying modal analysis methods, that once the cam curve has been designed using a single-DOF model to minimize vibration over the entire speed range, from zero to maximum, then the actual system, with its many degrees of freedom, has also been so optimized (i.e., the vibration of each of the modes has been minimized). However, if the one-DOF model is used to optimize only at a single speed or over a limited range of speeds, the vibration from the higher modes cannot be assumed to be optimized and their combined vibration response could be signi cant compared to that predicted by the single DOF analyzed. Therefore, it is generally recommended that optimization using a single-DOF model be applied over the entire speed range. Of course, the single-DOF model must also satisfy the conditions stated in Sec. 13.1 before any conclusions can be made as to the adequacy of the design. The methods presented are all relatively complex mathematically and thus require solution by computer using a program written for that purpose. Once the computer program is available, application is relatively easy.
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