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It is, however, to be noted that currency exchange rate forecasting is a time-variant problem requiring predictions on the ongoing basis. To apply the SOFNN to a real timevariant problem, a sliding window can be used to decay the effect of the old training data when the new ones are available. One way of accomplishing this is discussed in the following. The training data, the testing data, and the training parameters are the same as before. Based on the training model (41), a rst-in, rst-out (FIFO) sliding window is applied. Let Lw be the width of this sliding window. When the nth n > Lw observation enters this window, the oldest one is deleted from this window and the data in the window are thus continuously updated. Three different widths of FIFO sliding window are chosen to check the performances of the obtained networks. Table 9.2 presents the results of the obtained networks. Table 9.3 shows the results of statistical analysis for the prediction

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15311 Database with Geographic Information As just mentioned, one of the common hash functions in sensor database systems is to map the data to a location and then send the data via geographic routing to the sensor node that is closest to the mapped location for storage If all of the sensors have the same hash function, a query with a speci c content can be converted to a location where the data were stored for future retrieval Geographic hash table (GHT) [15] and distributed index for multidimensional data (DIM) [10] are two of the representative databases with geographic information Both of them adopt greedy perimeter stateless routing (GPSR) [16,17] as the underlying routing protocol, but differ slightly in the hash functions used.

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Advanced Encryption Standard (AES) A conventional symmetric block cipher standard, selected by NIST to replace DES in 2002, based on the Rijndael cipher submission that uses a 128-bit block size with 128-, 192-, or 256-bit key lengths.

In GHT, the input to the hash function is a reading of a single attribute or a speci c type of event, and the hash result is a point in the two-dimensional space If no sensor node is located at the precise coordinates of the hash result, the data are stored at the node closest to the hash result With the use of the perimeter mode of GPSR, the data packet traverses the entire perimeter enclosing the location of the hash result, and the closest location can be identi ed DIM, on the other hand, is designed especially for multidimensional range queries DIM maps a vector of readings with multiple attributes to a two-dimensional geographic zone Two assumptions are made in DIM: rst, sensors are aware of their own locations and eld boundaries, and second, all the sensors are static.

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The second advantage is that the designs are completed at the test site phase; this allows for direct implementation into the design kit release/veri cation process at the test site phase of the development cycle This also allows for early customer implementation at an alpha or beta release of a new released technology library As a result, the initial development evaluation is parallel to the potential of nal design release The ESD p-cell library is de ned with full ground rule checking and veri cation at the test site phase of the development The third advantage is that the hierarchical parameterized ESD designs do not need unique dc and RF characterization as the designs contain all RF characterized elements; this provides no additional RF characterization workload and will be updated with all design releases In a customized design environment, where primitive elements are not utilized, dc.