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3 f(x) = 1/(zk - zk-1) is a uniform density where the mean of the uniform (zk-1 + zk)/2 equals mk = 025x(k-1) + 050x(k) + 025x(k+1) in the intervals Ik (zk-1, zk) for k = 2, , T - 1 The weights {075, 050, 025} help satisfy the mean-preserving constraint Sxt = Smt Thus the ME distribution avoids arbitrary choices and is completely known from the data For further clarity let us consider a simple example of T = 5 data points where x(t) = {4, 8, 12, 20, 36} From consecutive averages we have z(t) = {6, 10, 16, 28}, which determine the ve intervals upon inclusion of the open-ended in nite intervals at the two extremes.

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In the event of failure of the protection at D or the associated circuit-breaker, the protection at C is activated after the logic standby time, ie 04 + 02 = 06 seconds Therefore, using mixed selectivity the time delays can be reduced (roughly by a ratio of 2) without going to great expense, since logic link wires need only be installed between circuit-breakers or relays in the same switchboard..

where and are constants and n is the angular position of the n th element, which is given by n = n 0 5 /6 with n = 1, 0, 1, 2. Determine the relative amplitude and phase distributions that would produce a beam at = /2 and = 0 with maximum possible array gain. The radius of the cylinder is 1.5 0 . 1.5 Assume that the gain pattern of a circular element is given by G = 4 r

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At the left extreme, the open-ended interval is I1 (- , 6) and the ME distribution in open-ended intervals has been established by statisticians to be exponential given by (1/q)exp([x - 6]/q)] We have the option to choose q, the mean of the exponential density We choose q to satisfy the mean-preserving constraint as q = m1 = 075 * 4 + 025 * 8 = 5 The second interval I2 is (6, 10) is not open ended but has xed limits at 6 and 10 Theoretical statisticians have established that the ME distribution in it is uniform Again, we have the option to choose q, the mean of the uniform density We choose q to satisfy the mean-preserving constraint as m2 = 025 * 4 + 05 * 8 + 025 * 12 = 8.

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More from the Experts ings. Second, management uncertainty/instability at Knowles facility in Malaysia became an issue. Two iterations of turnover in the most senior position in Knowles Penang facility created misgivings within management about whether introducing this highly complex, sensitive process to a factory struggling to get on track made sense. Finally, control arrangements, including continuous U.S. engineering support and presence in Manila for the rst year as well as the addition of permanent-resident quality engineering support at Cirtek s facility, convinced Knowles that it would retain suf cient control of the process that delivery uncertainty could be avoided. After three years of relatively successful production, Knowles faced unraveling this relationship. Several features had changed substantially, but cost savings was again the overriding impetus for insourcing the activity. Knowles estimated up to $500,000 in savings annually from moving the process into its facility in Malaysia on an incremental basis. All four uncertainty variables identi ed earlier changed signi cantly: Knowles experienced a substantial upswing in its business, straining all of its production facilities and in particular diaphragm production Cirtek s inability to commit to ramping up quickly cost Knowles in missed deliveries. Knowles management situation in Malaysia stabilized after three failed general managers; the current leader of the organization provided calm and professionalism to the entire team giving corporate management increased con dence that they could handle the added work. Technological uncertainty became an issue, whereas previously the process was believed stable. Knowles found itself nearing breakthroughs in dramatically improving the process with new epoxies and forming processes, and these changes would be substantially easier to implement with internal organization. Finally, the environmental uncertainty became worrisome, with Filipino politics becoming increasingly 233

10.4 BEST PRACTICES FOR IMPLEMENTATION OF CMMI ADP can alleviate some of the concerns in implementing CMMI and other related initiatives by de ning a technology and people infrastructure that facilitates the implementation and long-term sustainability of these programs. In the following sections we will take a closer look at CMMI and its relationship to ADP. We will also show the mapping of ADP practices to CMMI levels and describe how these practices facilitate the achievement of goals set for the corresponding CMMI process areas. Using the approach described

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