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An associated dif culty was that, if the run-in period was longer than 2 or 3 seconds, Ct was never being properly updated during these periods of intermittent GPS availability This led to a problem, since either the run-in period had to be very short, as did the size of the stack, or very out-of-date values of Ct were used Neither option was acceptable In the rst instance, Ct was under-smoothed, leading to erratic odometer based estimates (ie a lack of precision) in the second case, Ct does not vary wildly but is biased, since much of the time values closer to the global C would be supplied this led to a lack of accuracy To overcome this problem, it was noted that GPS cut-outs were never very long, so that calibration of Ct prior to the cut-out would still provide useful information.

This section was added to the model to help address any issues or concerns that are not fully addressed in the 30 factors being scored (see Exhibit 12.11). The person scoring a manager can add or subtract up to three points to or from the total score. I infrequently nd it necessary to enter a

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To this end, algorithm 6 was modi ed so that the resetting of the stack did not occur when a GPS location became available The modi ed algorithm is listed in the Appendix Experimentation indicated better performance For the training data, a run in a period of 10 seconds was found, as well as a stack size of 10 together with g = 08 the best performance was achieved, in terms of offset error to beacons (for detailed discussion of the methodology see Section 11) It was also found at a later stage that a policy of always returning the odometer-based location estimate (even when GPS was available) improved the accuracy of predictions this is also re ected in the modi ed version of algorithm 6..

with C++, with enhancements designed to ensure ef cient, predictable, and scalable QoS behavior for high-performance and real-time applications. ZEN is an open-source2 Real-time CORBA ORB for use with Java and Real-time Java, designed to minimize footprint and maximize ease of use. ZEN is inspired by many of the patterns, techniques, and lessons learned from developing TAO. This chapter presents TAO and ZEN as case studies of Real-time CORBA middleware to illustrate how ORBs can enable developers to control the trade-offs between ef ciency, predictability, and exibility needed by DRE systems. organization. The remainder of this chapter is organized as follows: Section 17.2 provides an overview of DRE systems, focusing on the challenges involved in developing these systems; Section 17.3 discusses how Real-time CORBA can be used to ensure end-to-end predictability required for DRE systems; Section 17.4 illustrates the motivation, design, successes, and limitation of TAO; Section 17.5 details the goals, technologies, design, and successes of ZEN; Section 17.6 summarizes how our work relates to other research efforts on real-time middleware; and Section 17.7 presents concluding remarks.

where is a positive real parameter. As 0 the expected value of the number of roots of (12.37) tends to the number of roots of Pi (t) = 0(i = 1, . . . , m), for which no a priori bound is available. In this case, the relation signal over noise tends to in nity. On the other hand, if we let + , the relation signal over noise tends to zero and the number of roots expected will tend to E(N X ). Proof of Theorem 12.12. We follow the same lines of the proof of Theorem 12.11. Let Pj (t) + Xj (t) Zj (t) = j = 1, . . . , m Q(j ) ( t 2 ) and Z = (Z1 , .., Zm )T . Clearly, N P +X (V ) = N Z (V ) for any subset V of Rm .

1 + (1/2 fn (t))Gk (t) , 2

departments and business units. Eventually, it would move to even more spacious and luxurious locations, both locally and internationally. Before this nal move, I would discover Adrian s treachery in our customer database and assist in bringing him to justice.

Source of variation Cycles Corrected-cycles Corrected-dyestuff Positions Residual Total f 3 3 2 3 11 SS 288.92 147.25 164.58 8.17 3.25 464.92 MS 49.08 54.86 4.09 1.08 F 45.44 50.80 3.79 FTAB F3;3;0.95=9.28 F3;3;0.95=9.28 F2;3;0.95=9.55

In this appendix, we will run through the processes that will enable you to use the reference implementation for the code in this book. We'll cover the following: Downloading and installing the reference implementation Configuring the basic environment to run the reference implementation and to enable you to compile code Using the reference environment to install, run, and test your J2EE applications Tip If you are not interested in trying the reference implementation, or would like to compare it to other J2EE environments, take a look at http://java.sun.com/j2ee/developer/, which lists companies that offer free trial downloads.

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