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To illustrate the naive Bayes classi cation process, the training set in Table 4.19 will be used to classify the following observation (X ): X : BP high; weight above; FH yes; age 50 In this example, the observation (X ) is an individual whose blood pressure is high (BP high), whose weight is above normal (weight above), who has a family history of diabetes (FH yes), and whose age is above 50 (Age 50 ). Using the training data in Table 4.19, the objective is to classify this individual as prone to developing or not prone to developing diabetes given the factors described. In this example, calculating P(diabetes 1jX ) and the P(diabetes 0jX ) is the next step. The individual will be assigned to the class, either has (diabetes 1) or has not (diabetes 0), based on the highest probability value. P(diabetes 1jX) P(diabetes 0jX) P(Xjdiabetes 1)P(diabetes 1) P(X) P(Xjdiabetes 0)P(diabetes 0) P(X)

convenience. Given the more lax requirements, some service providers may decide to deploy pure IP networks and rely on subsecond IGP convergence (which is now available from many vendors) for the protection. The main differentiator for MPLS FRR in this context is that it can consistently provide a small recovery time, while IGP convergence may be affected by factors such as when the last SPF was run, churn in a different part of the network or CPU (central processing unit) load caused by other unrelated operations. Hence, although the average IGP convergence time might be low, the upper bound on the recovery time may be relatively high. The amount of time during which traffic is lost depends on how fast the failure is detected and how fast the traffic is switched over to an alternate path. Most of this chapter deals with the mechanisms for quickly moving the traffic to an alternate path around the point of failure. However, no matter how efficient these mechanisms are, they are useless if the failure is not detected in a timely manner. Thus, fast failure detection, though not directly related to MPLS, is an important component of MPLS protection and is assumed throughout this chapter. In the next section we will take a look at some of the challenges with fast detection.

Okay, that s done. Now, JBoss.NET is basically Axis repackaged and integrated with JBoss. Deployment relies on a .wsr file, which is basically a packaged up version of the Axis s WSDD. The .wsr file is a standard .jar file with a single XML Web services descriptor under META-INF\web-service.xml.

The narrower the coverage, the greater will be the satellite antenna gain and therefore the e.i.r.p. (for a given amplifier power). For example, on the 6/4 GHz transponders of INTELSAT VIIA satellites, the global beam has an e.i.r.p. of 29 dBW, to be compared with the zone beam e.i.r.p. of 36.5 dBW (beam-edge minimum figures). E.i.r.p. of 47 dBW or higher are not uncommon on 14/11 GHz domestic satellites (Australia, Canada, Eutelsat, Hispasat etc.). High satellite e.i.r.p. permits simple, economical earth stations with small antennas to be implemented. In the case of simple (circular or elliptical) beams, the antenna gain can be approximated by formulas (3) and (3bis) in Appendix 2.1. Note that, in consequence, the antenna gain and e.i.r.p. (for a given satellite amplifier power) does not depend on the frequency, but only on the coverage width. Using this simple case, it can be shown that the antenna gain should be about 4 dB lower on the beam edge than at the beam centre16. As already explained, the utilization of shaped beam antennas can improve this situation by optimizing the gain inside the service area (i.e. getting a more uniform gain) and minimizing it outside.

Depending on your motherboard s lm_sensor chipset, you will probably need to fix your temperature read-out labels. To start this, run sensors -f to get a full read out. To get just the temperature labels, run sensors -f | grep [0-9]..F and you ll get the various temperature measurements that your system provides. Play around with a cool blow dryer and figure out which temperature is which (being careful not to allow your system to overheat). After you know which is which, write them down, in order 1, 2, 3 as output from sensors -f, and note what you would like 1, 2, and 3 to be called. Hold that information, and find out whether your lm_sensor module chip is like this:

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When a straw is placed in a clear glass of water, it appears to bend at the point where it enters the water. This is because the speed of light changes when a light ray passes from air to water; the phenomenon is called refraction. A similar result occurs when light passes from air to clear glass and plastics. When these transparent materials are formed into prisms or lenses, they become techniques for controlling the direction and, consequently, the distribution of light.