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1. A. EI-Hoiydi, Interference between Bluetooth networks Upper bound on the packet error rate, IEEE Commun. Lett. 5, 245 247 (2001). 2. T.-Y. Lin, Y.-K. Liu, and Y.-C. Tseng, An improved packet collision analysis for multi-Bluetooth piconets considering frequency-hopping guard time effect, IEEE J. Sel. Areas Commun. 22, 2087 2094 (2004). 3. K. Naik, D. S. L. Wei, Y. T. Su, and N. Shiratori, Analysis of packet interference and aggregated throughput in a cluster of Bluetooth piconets under different traf c conditions, IEEE J. Sel. Areas Commun. 23, 1205 1218 (2005). 4. I. Howitt, Mutual interference between independent Bluetooth piconets, IEEE Trans. Vehic. Technol. 52(3), 708 718 (2003). 5. N. Golmie and F. Mouveaux, Interference in the 2.4 GHz ISM band: impact on the Bluetooth access control performance, in Proc. IEEE Int. Conf. on Communications, Vol. 8, Helsinki, Finland, June 2001, pp. 2540 2545. 6. O. Karjalainen, S. Rantala, and M. Kivikoski, The performance of Bluetooth system in the presence of WLAN interference in an of ce environment, in Proc. 8th IEEE Int. Conf. on Communication Systems, Vol. 2, Singapore, Nov. 2002, pp. 628 631. 7. J. Lansford, A. Stephens, and R. Nevo, Wi-Fi (802.11b) and Bluetooth: Enabling coexistence, IEEE Network 15(5), 20 27 (2001). 8. I. Howitt, WLAN and WPAN coexistence in UL band, IEEE Trans. Vehic. Technol. 50(4), 1114 1124 (2001).



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Here are some approximate prices for the devices you must purchase to set up a wireless network:





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A third source of groundwater quality degradation exists, which does not t neatly into a classi cation of pollutant sources : these are natural bodies of poor quality water which are induced by heavy pumping to enter aquifers which previously contained good quality groundwater. Examples include sea water (see Figure 7.2, Section 7.2.4), deep saline groundwaters, and naturally toxic groundwaters (see Section 8.2.5). These and other sources of poor-quality groundwater whose mobility is aggravated by aquifer exploitation will be considered in some detail in Section 9.3.5. Before we go on to consider particular sources of groundwater pollution, it is necessary to consider the hydrogeological factors which determine the ease or dif culty with which any pollutant might enter a given aquifer. 9.3.2 Aquifer vulnerability Groundwaters tend to be inherently less prone to contamination than surface waters, thanks to the protection afforded by ltration and biogeochemical reactions which occur during subsurface ow (see Section 7.2.3). Recognition of the potency of these natural puri cation processes also provides the rationale for many bank ltration well elds currently operative worldwide (Section 7.4.2; Tufenkji et al. 2002). For all the admirable purifying powers of natural rocks, there are limits to the patience of Mother Earth: expose the ground to a suf cient quantity of pollutants for a suf ciently long period of time, and you will eventually overwhelm the assimilative capacity of the soil, subsoil, and aquifers. Pollution will ensue, with all of its attendant impacts on the economics of water supply and the health of ecosystems which receive discharging groundwaters.

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Figure 11-4. This individual hotel guest survey asks guests for their opinions on delivery of service.

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EPILOGUE Implementation of VoIP has reached a level of maturity that allows it to migrate easily from laboratory and prototype implementations to deployment in both residential and enterprise networks. Many new Internet protocol- and paradigm-based call control, signaling, and QoS guaranteeing techniques have been developed, and these are continuously evolving. Undoubtedly, they will accelerate the convergence of both voice and data services and the related network infrastructures, resulting in ubiquitous availability of the VoIP service.

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Figure 7.2 Spectrograms for the force data (a) and respiration ( b) of a single participant (data from Siegmund et al., 1999). The power spectral density was estimated over consecutive time windows of 10 s. Panel (c) depicts the scaledcross integral as a function of time. In all panels, time (s) is displayed on the x-axis. In (a) and ( b), frequency, f (Hz), is displayed on the y-axis and the spectral power, P (dimensionless), on the z-axis. In (c), the frequency-locking ratio is displayed on the y-axis, and the frequency-locking strength on the z-axis. The relationship between the frequencies with the maximal spectral power, fstroke and fresp, ref lect the frequency-locking ratio. Initially, fstroke: fresp = 1;1, and a switch to fstroke: fresp = 1;2 can be observed.

Since this in nite sum is nite and the terms are nonnegative, the terms must tend to 0; that is, lim I (X1 ; Yn |Yn 1 , . . . , Y1 ) = 0, which proves the lemma. Combining Lemmas 4.5.1 and 4.5.2, we have the following theorem. Theorem 4.5.1 If X1 , X2 , . . . , Xn form a stationary Markov chain, and Yi = (Xi ), then H (Yn |Yn 1 , . . . , Y1 , X1 ) H (Y) H (Yn |Yn 1 , . . . , Y1 ) and lim H (Yn |Yn 1 , . . . , Y1 , X1 ) = H (Y) = lim H (Yn |Yn 1 , . . . , Y1 ). (4.74) In general, we could also consider the case where Yi is a stochastic function (as opposed to a deterministic function) of Xi . Consider a Markov (4.73) (4.72)

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