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The proposed UAB takes advantage of the traditional PKI architecture to build the trust relationship among different WISPs and between WISPs and MUs by way of a RB. Similar to [11], the RB can serve as a certi cate authority (CA) and issue every legitimate WISP with its corresponding certi cate such that each WISP can check the validity of another. We assume that a legitimate WISP does not intentionally misbehave, which is reasonable since the attacks on its MUs will decrease the satisfactory MUs on the WISP, and will lead to reduction of its long-term revenue. On the other hand, the attacks launched by a WISP can be easily detected by the RB, and the malicious WISP will be deprived of its WISP quali cation with subsequent penalties. Further, the RB also issues certi cates to MAPs. The certi cate issued to an MAP is a digital signature signed by the RB on its public key as well as the linkage between the public key and the MAPs identity. In this case, a mutual public key authenticated key agreement can be derived based on MU s U-coin and

Figure 3-2. Front desk clerks must be able to provide immediate responses to guests requests for information. (Photo courtesy of Radisson Hospitality Worldwide.)

Daisy chaining, 283, 292 Data Accessor (DA), 8, 509 Data Content, 32 Data dictionary service provider (DDSP), 515, 518 519, 533 query to DDSP, 524 525 Data dictionary, 20, 173 Data distribution alternatives, 35 79 Data Encryption Standard (DES), 360, 378 Data Getter (DG), 7, 509 Data inference, 374 375 Data item, 437, 446 Data Model (DM), 2, 32 Data Modeling Language (ML), 32, 383 390 Data modeling overview, 383 421 CLP taxonomy, 384 conceptual-level goals, 394 396 forward engineering, 417 418 3LM taxonomy, 388 389 multiple models, conversion to, 417 reverse engineering, 418 using multiple types of modeling, 416 418 Data models (DMs), working with, 383 390, 411 416 CDMs, 411 413 capture the requirements, 411 412 group concepts together, 412 identify concepts in the requirements, 412 remove ambiguities, 412 413 steps to create, 411 Data processor (DP), 20 Data Read Service (Drd-S), 7, 32 Data Schema, 32 Data Services Tier, 538 540, 575 Data shipping, 152, 173 Data Source Name (DSN), 509 Data type constraints, in semantic integrity control, 88, 106 Data Write Service (Dwr-S), 7, 32 Database (DB), 1, 32, 239

In Fig. 9.4 we can see the two cases that are provided showing the DSPS sets and subrate CTAs. With the example of case 2, the CTA occurs every fourth wake beacon. This number is obtained by dividing the CTA rate factor by the wake beacon interval. The wake beacon interval should never be less than the CTA rate factor. If this happens, it indicates that the CTA would occur more often than the DEV was actually listening. When the PNC grants the DSPS CTRq, it will allocate CTAs in the wake beacons of the DSPS sets. The only case that this is not true is when there is not enough channel time left for the allocation. If there is not enough channel time for the PNC to assign the times, it will continue trying to allocate the channel time, cancel the data stream, or set the CWB bits so the source and destination DEVIDs are both in the awake so the PNC can see if the CTA can be assigned. This method works for getting the channel time assigned, although it wastes energy and battery life.

is called a Helmert matrix. For instance. for m = 3,

ey[1] Y[1]

The pressure of water vapor will be constant in the closed space around the material. This pressure is lower or equal to vapor pressure above pure water at the same temperature. The numerical expression of this is the water activity (aw): a w = water pressure above the material water pressure above the pure water Microorganisms cannot grow below their speci c aw (Table 11.1.) (IFT/FDA 2003; Leistner and R del 1976; Mossel 1971).

8 discusses land subsidence due to groundwater abstraction in considerable detail, and hence it is discussed no further here.