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One of the rst applications of the ISM frequencies for wireless communications was for the tracking of packages by package delivery companies like UPS and FedEx. All of the developed systems were proprietary, and none of the RF parts were interchangeable between systems. To provide a speci cation for short-range, wireless networks, the IEEE 802 standards group began the development of an 802.11 wireless LAN speci cation. New modulation and multiple access techniques were proposed each year. After over 10 years of study, the 802.11 standards committee had not created a speci cation. The wireless communication industry became frustrated by the IEEE s indecision. Several industry leaders including Intersil, Lucent, Nokia, 3Com, and Symbol formed a trade organization called WECA to prepare a speci cation to establish 802.11 interoperability. The resulting 802.11b speci cation was completed in early 2000. WECA also established product certi cation through a third party lab and a WiFi interoperability logo on all approved devices. The multiple access technique used was a spread spectrum technique. As shown in the second line of Figure 31.1, it achieved a range of 300 ft at data rates of 1, 2, 5.5, and 11 Mbps, depending on the number of users. The operating frequency was in the 2.40 2.48 GHz ISM band. IEEE eventually completed their speci cation called 802.11a. It operates in an unlicensed government band at selected frequencies in the 5 6 GHz range that overlaps an ISM band. It uses a new multiple access technique called OFDM, which is described in Section 31.2. As shown in the rst line of Figure 31.1, this new speci cation provided ranges up to 100 ft at data rates of 6, 12, 24, and up to 54 Mbps. IEEE then developed a similar 802.11 g speci cation that operates in the 2.40 2.48 GHz band, with data rates up to 54 Gbps at ranges up to 300 ft. The higher range was achieved because of the better RF propagation characteristics at this lower frequency. These three systems are usually packaged together to t into a standard PCMCIA computer slot or packaged inside a computer.
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34. Grosso, D.; Soler-Illia, G.; Crepaldi, E. L.; Cagnol, F.; Sinturel, C.; Bourgeois, A.; Brunet-Bruneau, A.; Amenitsch, H.; Albouy, P. A.; Sanchez, C. 2003. Highly porous TiO2 anatase optical thin lms with cubic mesostructure stabilized at 700 degrees C. Chem. Mater. 15:4562 4570. 35. Gibaud, A.; Grosso, D.; Smarsly, B.; Baptiste, A.; Bardeau, J. F.; Babonneau, F.; Doshi, D. A.; Chen, Z.; Brinker, C. J.; Sanchez, C. 2003. Evaporation-controlled self-assembly of silica surfactant mesophases. J. Phys. Chem. B 107:6114 6118. 36. Brezesinski, T.; Fischer, A.; Iimura, K.; Sanchez, C.; Grosso, D.; Antonietti, M.; Smarsly, B. M. 2006. Generation of self-assembled 3D mesostructured SnO2 thin lms with highly crystalline frameworks. Adv. Funct. Mater. 16:1433 1440. 37. Tate, M. P.; Urade, V. N.; Kowalski, J. D.; Wei, T. C.; Hamilton, B. D.; Eggiman, B. W.; Hillhouse, H. W. 2006. Simulation and interpretation of 2D diffraction patterns from self-assembled nanostructured lms at arbitrary angles of incidence: From grazing incidence (above the critical angle) to transmission perpendicular to the substrate. J. Phys. Chem. B 110:9882 9892. 38. Ruland, W.; Smarsly, B. M. 2007. 2D SAXS of self-assembled nanocomposite lms with oriented arrays of spheres: Determination of lattice type, preferred orientation, deformation and imperfection. J. Appl. Cryst. 40:409 417. 39. Ruland, W.; Smarsly, B. 2005. SAXS of self-assembled nanocomposite lms with oriented two-dimensional cylinder arrays: An advanced method of evaluation. J. Appl. Cryst. 38:78 86. 40. Ruland, W.; Smarsly, B. 2004. SAXS of self-assembled oriented lamellar nanocomposite lms: An advanced method of evaluation. J. Appl. Cryst. 37:575 584. 41. Dourdain, S.; Bardeau, J. F.; Colas, M.; Smarsly, B.; Mehdi, A.; Ocko, B. M.; Gibaud, A. 2005. Determination by x-ray re ectivity and small angle x-ray scattering of the porous properties of mesoporous silica thin lms. Appl. Phys. Lett. 86:113108. 42. Dourdain, S.; Gibaud, A. 2005. On the capillary condensation of water in mesoporous silica lms measured by x-ray re ectivity. Appl. Phys. Lett. 87:223105. 43. Fujihira, M.; Satoh, Y.; Osa, T. 1981. Heterogeneous photocatalytic oxidation of aromatic-compounds on TiO2. Nature 293:206 208. 44. Gratzel, M. 2001. Photoelectrochemical cells. Nature 414:338 344. 45. Yang, P. D.; Zhao, D. Y.; Margolese, D. I.; Chmelka, B. F.; Stucky, G. D. 1999. Block copolymer templating syntheses of mesoporous metal oxides with large ordering lengths and semicrystalline framework. Chem. Mater. 11:2813 2826. 46. Bosc, F.; Ayral, A.; Albouy, P. A.; Guizard, C. 2003. A simple route for lowtemperature synthesis of mesoporous and nanocrystalline anatase thin lms. Chem. Mater. 15:2463 2468. 47. Bosc, F.; Ayral, A.; Albouy, P. A.; Datas, L.; Guizard, C. 2004. Mesostructure of anatase thin lms prepared by mesophase templating. Chem. Mater. 16:2208 2214. 48. Chen, L.; Yao, B.; Cao, Y.; Fan, K. 2007. Synthesis of well-ordered mesoporous titania with tunable phase content and high photoactivity. J. Phys. Chem. C 111:11849 11853. 49. Crepaldi, E. L.; Soler-Illia, G.; Grosso, D.; Cagnol, F.; Ribot, F.; Sanchez, C. 2003. Controlled formation of highly organized mesoporous titania thin lms: From
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These policies govern the extent of the security con guration of Windows Server 2008 networks and are exposed under the Security Settings node in the GPM console. Security GP is available for deployment at every port that poses a security risk to the system as a whole, such as logon/logoff, communications, le systems, hardware and media, and so on. (For the complete list of policies open the GPM console). Table 24-3 describes the GP related to security areas.
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In the last decade, both the technological background and the data evaluation methods, i.e. X-ray spectra analysis and quantitative determination of sample composition, have been signi cantly improved for electron probe microanalysis (EPMA). One of the most essential breakthroughs in this eld was the appearance of newly designed high-resolution energy-dispersive detectors such as microcalorimeters, as well as commercial silicon-based spectrometers equipped with thin polymer window having weak attenuation for low-energy X-rays. Another important improvement can be found in the recently developed evaluation models for quantitative analysis, which are capable of handling a wide variety of target sample types. The ultimate goal of this scienti c effort has been to increase the X-ray detection ef ciency, to broaden the energy range of the X-rays to be analysed, to extremely decrease the irradiated and excited volume (Watanabe and Williams, 1999) in the specimen and to obtain maximum information about sample composition and structure by application of adequate quantitative model for fast calculation. The recent development trend in the eld of calculation models shows two main directions in quantitative EPMA i.e. conventional ( z)based methods and Monte Carlo (MC) simulation
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When you are dragging a part out of an assembly and into another one, you may again see the cursor symbol that appears in Figure 12.5. If you do not want this to happen, then hold down the Alt key while dragging. The cursor symbol changes to the Reorder cursor (a reversed, L-shaped arrow), and the part is placed after the subassembly rather than within it.
Like its predecessor Outlook Express, Windows Mail is at its best when used to access text-based groups. Although it can download multipart photo, video, and music files, it still lacks the appropriate binary-to-text support. (Binary here refers to the process whereby binary data the 00s and 11s of computerese is converted to text readable by humans.) The Windows Mail interface is also considered less suitable for use with binaries than its freeware and shareware competitors.
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FIGURE 8.1
TABLE 3-2
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The Standard Views flyout is called either Standard Views or View Orientation, depending on where you see it. The View Orientation dialog box contains the following controls:
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3. From the Sort By submenu, select the primary criteria and order (ascending or descending) you would like to use to display your messages. Clicking any of these categories changes the primary sorting criterion and closes the menus above.
solved it by doing an automatic ontology extraction from the document. In that case this worked very nicely because the document is based on a wellcontrolled vocabulary. In the general case, however, we anticipate that ontology extraction would be much more dif cult. Moreover, we were only able to extract what we called a lightweight ontology (in fact an associative semantic network). In the general case, this network could form the starting point for a manual ontology development phase. The second problem area encountered concerns ontology evaluation. It was found that within a certain range it can be determined which concepts, which attributes and which relations are OK and which should be re-examined, but beyond that any evaluation of the ontology becomes very dif cult. The best way to do a further evaluation is via the application(s) for which the ontology was built. User response to the application dictates what is an appropriate ontology and what is not. Thus, ontology evaluation boils down to a large degree to application evaluation. The third problem area became mostly visible within the skills management case study. We found that users have dif culty nding the right concepts within an ontology of several hundred concepts or more. This applies for selecting concepts for annotation as well as for querying. The problem of searching a large search space can be more easily solved by using ontologies. But then the problem of searching the ontology space needs to be solved. This is much simpler because the search space is smaller but it is nevertheless quite often a problem that usually gets only solved by drastically cutting down the size of the ontology. This is clearly not satisfying. Interfaces such as those provided by QuizRDF (see 8) which allow users to locate themselves in an ontological space via a simple keyword search and then to browse the ontology from that point may help in this regard. Notwithstanding the problems encountered, as we have discussed, the use of ontologies in the two application areas described clearly offered advantages over the use of traditional free text search technology and has led to systems which are now in live use.
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