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Infrastructure Technique Sensor network Infrared Ultrasound RFID Physical WLAN Wi-Fi Bluetooth UWB WiMax GSM/UMTS Cell-Id TOA TDOA/OTD AOA GNSS A-GNSS HS-GNSS Pseudolite Repeater Inertial Gyroscope Accelerometer Magnetometer Odometer Other Camera Laser TV Deployment New New New New Existing Existing Existing Existing Existing Existing Existing Existing Existing Existing New New Without Without Without Without Without Without Existing Cost High High High High Medium Medium Medium Medium Low Low Low Low Medium Low Medium Medium Nil Nil Nil Nil Nil Nil Low Terminal Complexity New New Existing N/A Existing Existing Existing Existing Existing Existing Existing Existing Soft Dev Hard Dev Soft Dev Soft Dev Integration Integration Integration Integration Integration New Integration Cost Low Low Low N/A Low Low Low Low Low Low Low Low Low Low Low Low High High Low Low Low Low Low



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where ~ ( I c )= 7r2 cos(7r1~/2)/4, equipped with homogeneous Dirichlet boundary conditions. The weak formulation of problem (2.40) reads: Find u E V = Hi(-l, 1) such that





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The Lie Group has an important property that allows an invariant Riemannian metric (see Zhang et al. [1355, 1365] for more detail). Let TW(z) and X(z), Y(z) TW(z) be tangent vectors of the Lie group at W(z). In other words, for small > 0, the terms W(z) + X(z) and W(z) + Y(z) represent deviations of W(z) in two di erent directions X(z) and Y(z). We introduce the inner product with respect to W(z) as < X(z), Y(z) >W(z) . Since M(L) is a Lie group, any B(z) M(L) de nes an onto-mapping: W(z) W(z) B(z). The multiplication transformation maps a tangent vector X(z) at W(z) to a tangent vector X(z) B(z) at W(z) B(z). Therefore, we can de ne a Riemannian metric on M(L), such that the right multiplication transformation is isometric, that is, it preserves the Riemannian metric on M(L). Explicitly, we write it as < X(z), Y(z) >W(z) =< X(z) B(z), Y(z) B(z) >W(z)

( b ) Find the optimal equalizer coefficients, and the corresponding minimum mean-square errors, for A = 0. 1 . 2 :3,

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sensor node toward D. The partial-partition avoiding geographic routing (PAGER) algorithm by Zou et al. [25] is a two-phase distributed and stateless construction of an acyclic graph leading toward the information sink D. In the rst phase the algorithm subsequently nds all shadow nodes where greedy routing toward the information sink would fail. Concave nodes are declared to be shadow nodes, and recursively other nodes are declared shadow nodes as well. A node becomes a shadow node when all its neighbors, closer to destination D, already became shadow nodes. For instance, in Figure 12.6, nodes A, B, and C are shadow nodes as far information sink D is concerned. Greedy routing started at nonshadow nodes is always successful when shadow nodes are ignored. In order to enable successful traf c ow from all sensor nodes, shadow nodes establish exit pointers as follows. Each shadow node that has a nonshadow neighbor, or a neighbor with an already established pointer, will point to that neighbor. Packets originated in shadow nodes will follow the exit pointers until the rst nonshadow node is reached. Routing then follows the greedy strategy until the nal destination D is nally reached. An example is given in Figure 12.6. Nodes B and C will establish an exit pointer to nodes E and F, respectively. Afterwards, node A will establish an exit pointer to both nodes B and C. Traf c originated in A will follow exit pointers until reaching node E for instance. From there on, the packet will be delivered successfully in greedy mode.

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9. Your image should now look very close to what I got earlier in Figure 8.2. Press the backslash key (\) to take the image into Quick Mask mode.

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with its customers, including customer loyalty, distribution channels, brands, licensing, and franchises. Because customers often form bonds with a salesperson or customer representative, customer capital typically is jointly owned by employee and employer. The proportion of customer capital held by employees and employers depends on the relative contribution of customer loyalty to customer capital.

(a) Let d ( i ) = uEwo w(i). Introduce the estimation errors e a ( i ) = ~ ~ i i 7 - 1 e p ( i )= u2 W ,, and where 6, wo- w2. Show that =

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