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2.4 GHz band, Further Higher Data Rate Physical Layer Extension in the 2.4 GHz band and OFDM (802.11a) in the 5 GHz band. Please refer to Table 8.1 for their comparisons. Currently, 802.11 Task Group n is working on the future wireless LAN physical layer specifications. Many updated communication technologies, e.g., MIMO, LDPC coding, space-time code, are to be finalized into the standard. Generally speaking, the 802.11 physical layer is comprised of two sublayers: physical layer convergence procedure (PLCP) and physical medium dependent (PMD) as shown in Figure 8.13. However, the detailed specifications of PLCP and PMD are dependent on the individual PHY option. PLCP defines the

Blended threats are new infections that mark the beginning of a new era of spyware, pushing the limits of what used to be the separate worlds of virus and spyware infections. These new infection mechanisms combine multiple activities to create a multistage or blended threat. Often the payload of these new exploits is a keylogging Trojan designed to steal banking information. Brazilian crackers, especially, have been creating an army of these Trojans. But what makes them especially scary is that their payload can be programmed to carry out any instructions, and quite successfully. Using drive-by downloads and blended threats, these exploits are increasing spyware infections exponentially. This section looks at a few of the most popular multistage and blended threats.

AutoLISP responds with an Entity name such as <Entity name: 2ed0520>. The numbers will probably differ on your system, but using the information returned from ENTLAST enables you to programmatically get or set a variety of options on any given database object by referencing its entity name. The ENTGET (entity get) function is the key to making modifications to the drawing database. The ENTGET function takes an entity name as its one and only argument. After drawing the line in the preceding steps, type the following:

in mechanical properties result from exposure of unprotected aromatic polyamides to the environment. Aromatic polyamides are affected by wavelengths well into the visible portion of the spectrum. It has been shown that wavelengths in the 400- to 500-nm region cause an appreciable amount of deterioration [6, 38]. Similar to the aliphatic types, the aromatic types are also subject to two mechanisms of degradation: (a) direct photolysis of the polyamide structure by the radiation absorbed by the structural features and (b) photooxidation initiated by the radiation absorbed by the impurities. Because the structural chromophores absorb longer wavelengths than the aliphatic types, their direct photolysis can be initiated by longer wavelengths, and this degradation pathway is even more important than in the aliphatic types. Following cleavage of the amide bond, the main reactions in the absence of oxygen are a photo-Fries rearrangement to a 2-aminobenzophenone structure in the polymer and crosslinking [41, 42]. When oxygen is present, it reacts with the radical pair forming oxygenated products, thus competing with the photo-Fries rearrangement and reducing crosslinking and yellowing. Due to the high degree of orientation in polyamide bers and thus the slow rate of diffusion of oxygen, photo-Fries products are formed to a large extent when the bers are exposed to UV even in the presence of oxygen.

Huffman coding based on the probability (or the frequency) of occurrence of pixel values in the shifted-then-subtracted image described in the last section can be used to compress the image The encoding procedure requires six steps: 1 From the original image (Fig 64A), form the shifted-then-subtracted image (Fig 64C ) 2 Obtain the histograms of the original image (Fig 64B ) and the shifted-thensubtract image (Fig 64D) 3 Rearrange the histogram in Figure 64D according to the probability (or frequency) of occurrence of the pixel values and form a new histogram (Fig 64E ) 4 Form the Huffman tree of Figure 64F A Huffman tree with two nodes at each branch is built continuously following rules, described in steps 5 and 6, until all possible pixel values have been exhausted 5.

Figure 1.4. Global materials use intensities for selected classes of materials in the recent past showing increased reliance on plastics. [Source: I. K. Wernick and J. H. Ausbel, Dardalus, 125(3), 171 (1996).]