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Select the newly paired BlueSMiRF from the device list and click Edit Serial Ports. You should see a window similar to Figure 4-15. If you do not see the same info, change it so it matches. In Mac OS X, all serial port devices have unique names. For virtual serial ports, the name is constructed from the device type. So in the example BlueRadios-COM0-1, the device type is BlueRadios-COM0 and it s the first one of that type. (COM0 is the first serial channel for BlueRadios; apparently there can be others.) Click OK and the virtual serial port is ready to use.

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Table 6.3 Measured hygroscopic growth factors for various organic aerosol particles conducted in the laboratory using a HTDMA (see text). Aerosol type Nordic reference fulvic acid Nordic reference humic acid Humic acid sodium salt Fluka chemical humic acid Pahokee peat reference humic acid Leonardite standard humic acid Suwannee River fulvic acid Polyacrylic acid (2000 MW) Polyacrylic acid (3 000 000 MW) Pthalic acid Glycerol Succinic acid Malonic acid Citric acid Glutaric acid Isolated organic matter Solid-phase-extracted organic matter from water-soluble fraction in ambient samples 1-kW load, no fuel additives 2-kW load, sulphur enhanced Moving grate boiler Conditions Commercial acids and salts GF 1.13 1.06 1.06 1.66 1.12 1.09 1.08 1.16 1.12 1.19 1.36 1.0 1.4 1.28 1.09 1.08 1.17 RH% 90% 90% 90% 90% 90% 90% 90% 90% 90% 90% 85% 85% 85% 85% 85% 90% Reference Gysel et al. [172]

so the norm of the vector is proportional to its power. By allowing the components of the vector X vary through all their possible values, a hypersphere will appear in the corresponding vector space. This hypersphere is of radius ||X||, and all the possible vectors will be enclosed by this sphere. The volume of this hypersphere is equal to Vol,n = K n ||X||n . As noise is also a signal, it can adopt a vector representation. This signal is usually passed through a lter of bandwidth B and then sampled, and so this set of samples constitutes a vector that represents the ltered noise. This vector will be denoted as N (N1 , N2 , . . . , Nn ), = and if PN is the noise power, then this vector has a norm equal to ||N|| = n PN . Thus, signals and noise have vector representation as shown in Figure 1.13. Noise in this model is additive and independent of (uncorrelated with) the transmitted signals. During transmission, channel distortion transforms input vector X into an output vector Y the whose norm will be equal to ||Y|| = ||X + N|| = n(P + PN ) [2] (see Figure 1.14). (Signal and noise powers are added as they are uncorrelated.)

4 An alternative measure of outage is the outage probability, that is, the probability that the BER exceeds some nominal value BER0 in an OFDM block. The outage probability can also obtained given the per-realization BER in Eq. (11.21).

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StegDetect is a program that detects data hidden with a variety of Stego programs. This well-designed program was written by Niels Provos. StegDetect can be downloaded from OutGuess at www.outguess.org/detection.php. StegDetect performs tests for use of specific stego programs, as well as some statistical tests against JPEG images. You can download the source code for StegDetect and add other techniques if you have developed algorithms of your own. StegDetect currently detects the following programs:

We propose a resource management architecture for multiple WLANs using multiagent systems, as shown in Fig. 2.11. Multiple WLANs are colocated within a particular geographic area. Communications inside the surrounding WPANs such as Bluetooth networks and WSNs generate interference to WLAN activities. An agent is located inside each AP within each WLAN and interacts with agents within its neighborhood. An agent s neighborhood

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