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where h t is height above ( ) or below ( ) the ellipsoid surface and fgeodetic t will be in radians if vN t is in meters per second and rM t and h t are in meters. Transverse Radius of Curvature The radius of curvature of the reference ellipsoid surface in the east west direction (i.e., orthogonal to the direction in which the meridional radius of curvature is measured) is called the transverse radius of curvature. It is the radius of the osculating circle in the local east up plane, as illustrated in Fig. 6.17, where the arrows at the point of tangency of the transverse osculating circle are in the local ENU coordinate directions. As this gure illustrates, on an oblate earth, the plane of a transverse osculating circle does not pass through the center of the earth, except when the point of osculation is at the equator. (All osculating circles at the poles are in meridional planes.) Also, unlike meridional osculating circles, transverse osculating circles generally lie outside the ellipsoidal surface, except at the point of tangency and at the equator, where the transverse osculating circle is the equator. The formula for the transverse radius of curvature on an ellipsoid of revolution is a rT q ; 2 sin2 f 1 e geodetic 6:41



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There is an increasing interest in computer applications that are aware of the user's context. Currently these applications are normally handcrafted [53,56,58,90]. Many of them present information to users as they enter a given context [54], for example a tourist nearing a site within a city or a visitor moving round a building. Orr and Abowd [62] describe a system for identifying people based on their footstep ground reaction force (GRF) pro les and how its accuracy was tested against a large pool of footstep data. This oor system may be used to identify users transparently in their everyday living and working environments. They created user footstep models based on footstep pro le features and achieved a recognition rate of 93%. They mention that they planned to integrate the system into the Context Toolkit for live use. The Context Toolkit aims to ease the development of context-aware applications by providing a library of `context widgets' that free the application writer from the details of context sensing (i.e., interfacing with sensors). In the same way that GUI widgets insulate applications from certain interface presentation concerns, context widgets insulate applications from context acquisition concerns. The system consists of these context widgets and a distributed infrastructure that hosts and coordinates the widgets. In order to integrate the Smart Floor with the Context Toolkit, a software layer would have to output the calculated identity of the user (or perhaps the top three choices, along with a certainty score), providing a ready-to-use

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Just like your computer s operating system, your web operating system (also known as your browser) doesn t arrive tuned to your own work style. Firefox and the other browsers offer a variety of means of customizing them so that they are more productive and useful. Table 2-1 shows some browser capabilities you might want to tweak with add-ons, along with example Firefox add-ons available in summer 2007. Though specific add-ons come and go, this will give you an idea of what you might want to look for when you set up your browser to meet your needs.

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The use of probability analysis, and especially Bayesian analysis, to evaluate evidence and the inferences to which the evidence leads, has been discussed sporadically for decades (Kaplan, 1968; Finkelstein and Fairley, 1970; Lempert, 1977; Kaye, 1988a; Robertson and Vignaux, 1995), and has become one of the centerpieces of the new evidence scholarship. Bayes theorem is a basic principle of logic that indicates how a rational evaluator should adjust a subjective probability assessment in light of new evidence. The process of reassessment in the light of new information can begin with the rst piece of evidence and continue in iterative fashion through to the last. Or it can describe the effect that any given piece of evidence should have on a fact nder s belief in alternative hypotheses. Bayes theorem is best understood as a statement regarding the logical consistency of beliefs. It is useful for identifying inconsistencies among the various beliefs a fact- nder might hold and for demonstrating the logical

Figure 3.16 Propagation of the evidence that attribute A has value a4 in the three-dimensional possibility distribution shown in Figure 3.14 using the projections to the subspaces {A, B} and {B, C}.

Foundation Determinants of Risk Weights Probability of default (PD) Bank determines Loss in the event of default Supervisor (LGD) determines Exposure at default (EAD) Supervisor determines Maturity (M) Credit Risk Mitigation Collateral Credit derivatives Bank guarantees Calculation of Reg Capital Floor Advanced Bank determines Bank determines Bank determines Maturity adjustment incorporated

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