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the chosen xed structure and parameters. The industrial experience from the chemical industry, however, shows that the inferential sensors that have been applied demonstrate acceptable performance in this mode only if the process changes are very minor, that is, on average less than 5% outside the of ine model development range. In case of more signi cant process changes (i.e., on average, 5 20% outside the of ine model development range), the sensor starts to provide a higher number of errors and needs recalibration or retraining. The most frequent solution is of ine re tting of the model parameters to the new process conditions. However, in case of frequent changes, a continuous adaptation to the new conditions is needed through parameter estimation within the xed structure. The third possible mode of operation of inferential sensors handles the most dif cult case of major process changes (i.e., on average, > 20% outside the of ine model development range) when the predictive model changes automatically its structure and corresponding parameters in order to adjust to the new data pattern. We call the latter mode evolving self-calibrating inferential sensor, or brie y, eSensor. In this chapter we will describe an approach particularly suitable for this mode of operation (although it can also work in any of the former modes, too).

These kinds of networks exploit two types of communication channels: synchronous channels used for audio communications as required by cellular phones and asynchronous channels deployed for data communications as utilized by all equipment for le transfer The IEEE 802151 WPAN operates in the 24-GHz industrial, scienti c, and medical (ISM) band using a so-called fast frequencyhopping (FFH) transceiver The 24-GHz ISM band is one of the few unlicensed bands available; however, this is also the band used by WLAN.

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The override feature on a reservation module for a property management system allows individual employees to book reservations beyond the number of rooms available and beyond the occupancy management limit. This feature must be controlled by the reservations manager, front of ce manager, or manager on duty. However, a front of ce manager has to handle this challenge by having his or her staff check out the room availability in nearby hotels and notify guests that their room reservations will be handled at another hotel. In some cases, guests can t be noti ed prior to their arrival, and the front desk staff must be prepared to deliver customer service with utmost composure.

Creating the input text boxes and buttons are the easy parts of creating a Flash form. The difficult part comes when you need to submit the information to the designated recipient at a Web site. Each Web server uses different scripts to forward form results. Check with the support staff of the Web hosting service where your design will be uploaded for specific information. In the section that follows, you ll learn how to interpret an HTML mail forwarding script and use that information to transmit the data from your Flash form to the intended recipient. Listing 15-5 shows a typical CGI mail forwarding script.

For example, we might de ne different methods for different Lem implementations when they use different execution control strategies Consider how the interface might need to be different when implementing a master slave control strategy versus a triangular control strategy (see Section 17 of 1 for an example of these strategies) We can also choose to de ne our methods differently depending on the types of parameters we want to use Suppose we choose to pass the local SQL commands and queries into the Lem subsystem as strings If this were the case, then our method would have a String (the SQL statement) as a parameter Similarly, if we decided to use a more relational algebra- avored approach, we could still use a String parameter (here it would contain a relational algebra statement instead of an SQL statement) This is not the only possible approach, however.

You can test this out with the roombacomm.Waggle test program. By far the most interesting curve the Roomba does is the expanding spiral, usually when it first starts up. You can implement a spiral by keeping a fixed velocity and incrementing the radius value over time. In the example program Spiral.java, you can see one way to go about this. Listing 5-5 shows the important parts of Spiral.java.

The potential average room rate is defined as the average rate that would result if all rooms occupied overnight were sold at the rack rate without a discount. To this point, we have stated that the rack rate is the maximum rate that will be charged for a room. But in fact, most hotels have two or more rack rates for each room. There may be a rack rate for single occupancy, a rack rate for double occupancy, and even a rack rate for occupancy by three or more. How can a potential average room rate be determined in such a situation If a hotel sold all its rooms at single occupancy, its potential average rack rate would be the average rate if all rooms were single occupied. If the hotel sold all its rooms at double occupancy, its potential average rate would be the average rate if all rooms were double occupied. For most hotels, neither of these extremes is likely. For most properties on a typical night, some rooms will be single occupied and others will be double occupied. A further complication is that there may be different types of rooms, whose single or double rack rates

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