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At this point, it is important to note that the reconstruction of the pulse shapes from the set of estimated coef cient cl,r must be done carefully. If the pulse shapes are reconstructed from the estimated lowpass version of the signal, using the polynomial approximation (2.43), one can create ripples in the reconstructed signal due to the Gibbs phenomenon. Similarly, reconstructing the signal from a larger set of DFT coef cients, obtained by spectral extrapolation from Equation (2.43), is often numerically unstable. A conventional way to treat this problem is to use a less abrupt truncation of the DFT coef cients by appropriate windowing [20]. One possible solution is to do weighting of the extrapolated DFT coef cients with an exponentially decaying function, which can signi cantly improve the accuracy of reconstruction.

2.5 DIVERSITY AND SPATIAL MULTIPLEXING GAIN We consider only space diversity in a MIMO system. To quantify the gain offered by diversity, a coef cient called diversity gain is de ned. If the probability of error Pe ( ) as a function of average SNR, , satis es, for a xed transmission rate, the diversity gain. d = lim Pe ( ) . log2 (2.34)

The IAM process is described as a level I assessment: a nonintrusive standardized baseline analysis of the information systems security posture of an automated system. A level II assessment commonly defines a more hands-on evaluation of the security systems (both levels I and II are considered cooperative, that is with the permission and/or initiated by the assessee). A level III evaluation is a red team assessment, possibly noncooperative, and may include external penetration testing. The IAM process also provides recommendations for the elimination or mitigation of the vulnerability. The IAM process is conducted in three phases: Preassessment phase. The assessment team defines the customer s needs and begins to identify the system, its boundaries, and the criticality of the information, and begins to write the assessment plan. This phase normally takes about two to four weeks. On-site phase. The team explores and confirms the conclusions made during phase I, gathers data and documentation, conducts interviews, and provides an initial analysis. This phase takes about one to two weeks. Post-assessment phase. The team finalizes the analysis, prepares and distributes the report and recommendations. This phase can take anywhere from two to eight weeks. At the heart of the IAM is the creation of the Organizational Criticality Matrix (see Table 4.3). In this chart, all relevant automated systems are assigned impact attributes (high, medium, or low) based upon their estimated effect on confidentiality, integrity, and availability and criticality to the organization. Other elements may be added to the matrix, such as nonrepudiation, or authentication, but the basic three tenets of IINFOSEC remain. For more information on the IAM program, visit www.nsa.gov/isso/ iam/index.htm.

The development of the Semantic Grid is based on the application of Semantic Web technologies to the Grid. The goal of the Semantic Web is to augment unstructured Web content to structured information to improve computer interpretability and the ef ciency in Web information discovery and use. Metadata and ontologies play a critical role in the evolution of the Semantic Web and the Semantic Grid. RDF is the foundation of the Semantic Web. RDFS, DAML + OIL and OWL are ontology languages. DAML-S and OWL-S can be used to annotate Web services (WSDL, SOAP and UDDI) with semantics. Data provenance is an annotation that helps explain the origin and history of a data. Semantic portlets will play an important role in the development of the Semantic Grid portals. An autonomic system is a computer system that is capable of self-con guring, self-healing, self-optimizing, self-protecting and self-learning. The goal of autonomic computing is to reduce the complexity in the management of large computer-based systems such as the Grid. A future autonomic Grid system can be composed from autonomic Grid services.

18 19

and then called a function in it:

8 2048 16 2048 24 2048

from which we may evaluate HQ (n) and E Q (n) in terms of an electric quadrupole tensor Q(n ). Because we do not expect any multipole moments greater than dipole for a sphere in a uniform external electric and magnetic eld intensity, we shall assume that this term and all higher order terms (l = 2 and greater) are negligible in Equation 6.28.

10

[37] [38]

Notice how the <xsd:unique> element is used:

where it is emphasized that while 1 is treated as a constant at any particular time, it actually varies with the laser carrier density.