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Figure C-6: The Tomcat JSP example page The page in Figure C-6 contains 15 JSP examples, of which two are shown. You have not seen a JSP execute yet. Click on the link labeled "Execute" next to the Date example. If you see a screen such as Figure C-7, you have a working, JSP-enabled Web server!

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The k nearestneighbor averaging (k 3) scheme outperforms the single closest location scheme signi cantly, and it is shown that there are thresholds of both the density of observation points and the number of real-time samples beyond which further increase cannot improve the accuracy dramatically The Nibble system [9] is also a WLAN-based indoor location system utilizing scene analysis techniques It was developed at UCLA Multimedia Systems Lab as part of its multiuse sensor environment (MUSE) project It runs on mobile objects and uses RF signal sent by nearby WLAN APs to derive location estimations The most signi cant difference of Nibble from other systems is that it relies on an evidential reasoning model, namely, Bayesian networks, to aggregate and interpret information from sensors (APs in this case) to provide location estimation services.

gradient search, 191 grammar, 171 Grant, A.J., 702 graph, 73, 78, 79, 97 graph coloring, 557 gravestone, 55 gravitation, 490 Gray, R.M., 610, 694, 695, 702, 703, 708 greetings telegrams, 441 Grenander, U., 703 grouping rule, 50 growth rate, xix, 4, 159, 178, 180, 182, 615, 613 656, 686 chain rule, 624, 650 competitive optimality, 628 convexity, 616, 650 optimal, 615 side information, 622, 650 growth rate optimal, 162, 613 Gr nbaum, B., 538, 703 u Guiasu, S., 703 Gupta, V., xxi Gutman, M., 462, 700 Gyor , L., 698 gzip, 442 Hadamard s inequality, 279, 680, 681 Hajek, B., 611, 699, 703 halting, 484 halting computation, 466, 486 halting problem, 483 halting program, 473 Hamming codes, 205, 212 214 Hamming distortion, 307, 308, 336, 337 Hamming, R.V., 210, 703 Han, T.S., xxi, 593, 609, 610, 668, 670, 687, 689, 703, 717, 718 handwriting, 87 Hart, P.E., 695, 698 Hartley, R.V., 55, 703 Hassanpour, N., xxi Hassibi, B., 693 Hassner, M., 689 HDTV, 560 Hekstra, A.P., 609, 718 Helstrom, C.W., 703 Hershkovits, Y., 703 Hewlett-Packard, 643 hidden Markov model (HMM), 87, 101

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Sending the value of the bothBoys radio button in the previous example is the same as telling the script to use the value of the object document.form[0]. bothBoys. You can see that using this property name in every reference in this script could get cumbersome fast. Instead, when you send the value of bothBoys using the reserved word this, you can choose what you want to call the field within the script. Being able to call the field whatever you want is important. Notice the showBoy1() function is called by two other functions. If showBoy1() acted on data, rather than just displaying (or rather unhiding) form fields, then you would have to create two different versions of the same function, one to act on each specific object. This

In the pro ling phase, SNR is collected at each interested location and then quantized into discrete values In current implementation, the SNR value set is E flow, high, unknowng Then the Bayesian network is used in the matching phase Finally, the location with largest conditional probability is considered as the location estimate Furthermore, Nibble de nes the quality of information metric to characterize sensors service performance Nibble then uses this metric to select most reliable sensors to retrieve RF signal measurement In this way, for the same estimation accuracy, the number of queried sensors, or cost can be optimized Currently, the Nibble system can discriminate locations roughly 3 m apart..

In the approach we used for coordinating the activities of the DEM and its LEMs, the DEM acted as the coordinator (Master) and the LEMs acted as the followers (Slaves) [Larson85]. Figure 1.16 depicts the Master Slave approach to distributed execution management. In the Master Slave approach, the DEM synchronizes all temporary data movements. In this approach, LEMs send temporary data only to the DEM. Sometimes it is more bene cial to send temporary data from one LEM directly to another LEM. In this case, the DEM needs to send the proper commands and actions to the LEMs so that the LEMs can synchronize their own activities. Larson [Larson85] calls this type of control triangular distributed execution control. Figure 1.17 shows this type of control across one DEM and two LEMs. Example 1.2 For this example, we assume the system has four sites. The user enters transaction T into the system at Site 0. There are three tables in the system de ned as: