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One problem with the approach brie y described above is that errors in the GPS signal translate into considerable errors in position It may be possible at a particular point in time to correctly identify the road a vehicle is travelling on, but the position along the road may be in error by up to 20 m (100 m when S/A was switched on) This along-track error cannot be resolved for a straight road, but it can be resolved if the road changes direction, or if the vehicle turns a corner A more formal method of computing a map-matched correction is now given, which is then integrated with the Road Reduction Filter (RRF) This mapmatched correction, or error vector, is used to adjust the position of the vehicle on the road segment, but only when residual values are low.

Direct application of the regularity results of 1 shows that the process Z( ) has C -paths on (0, + ) and ( , 0), but has a discontinuity at t = 0, where it has right and left limits. Since m(0 ) = m(0+ ) = 0 , r(0 , 0+ ) = 1,

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The advantage of formal methods is that quality measures can be derived and used to place con dence bounds for rigorous decision-making (for example, to reject road centrelines that fail a particular hypothesis test) Formal methods also provide insight into the relative importance of factors, which can improve the procedure (eg data rates and road geometry) Figure 61 displays a GPS position at a single epoch Vector b can be considered to be the error vector (position error vector) from the true vehicle position on the road centre-line at grid position Tru(ETru, NTru) to the uncorrected position computed from GPS at Raw(ERaw, NRaw) The perpendicular distance from the Raw position to the road centre-line at Int(EInt, NInt) is given as L The road center-line for this purpose is de ned by extending the line segment, which joins the previous Ref to the current Ref.

client The array sizes are chosen in such a way that the performance comparisons can be done for a range of response times The array sizes used in the experiment vary from 1 to 128 K Note that because the upper bound on the size of UDP data packet is 65535 bytes, results for Flyover (UDP) are not available for array sizes of 16 K and 32 K As shown in the gure and table, the yover exhibits a substantially higher performance over both Orbix-MT 23 and Orbix 2000 in sending an array of long For example, in transferring an array long [33], the yover achieves a 7388% and a 4930% improvement over Orbix-MT 23 and Orbix 2000 respectively A signi cant further improvement in performance can be achieved by using UDP instead of TCP as the transport layer protocol.

The rst approximation of the Tru position is the Ref position, which (as explained in Section 32 in 5: The Algorithm) was obtained by snapping the Cor position (the Raw position corrected using map-matched corrections) onto the closest point on the road centre-line Furthermore, the observed perpendicular distance from Raw position to the road center-line at Int is given by L where: L=.

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This concludes our introduction to e mail and newsgroup capabilities in the J2EE environment. The ability to send e mails is an essential part of any enterprise application. Whether it sends an e mail to confirm a purchase or automatically filters support requests, almost any application will need to support e mail. In this chapter, we introduced you to e mail and to JavaMail as the implementation of mail capabilities in the Java environment. The topics we covered included: An introduction to the parts of an e mail message. Constructing and sending a basic e mail message. Instructing e mails that contain attachments. Reading e mails from a server for both POP and IMAP protocols. Building filters and searches to find e mails.

The performance improvements discussed in the previous paragraph correspond to a situation in which the yover is used 100% of the time A system characterized by a degree of limited heterogeneity of p is analyzed On such a system, the CORBA ORB is chosen with a probability of p, whereas the yover is chosen with a probability of 1-p Figure 88 presents the results of transferring arrays long[256] and long[8192] when the degree of heterogeneity is varied from 0 to 1 The results of the experiment presented in the gure corresponds to an open system in which requests arrive and join a FIFO queue Each request is sent by the client to a server that processes the request immediately (zero service time) and sends the result back to the client.

showing that this distribution is symmetric around its mean value c = m101 /m200 . An important point is that this speed does not depend on the level.

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