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A binding specification aims at taking all that away from the developer by implementing the various techniques in the parser where the classes are generated It provides a standardized way to validate documents by defining the XML schema and data type mapping definitions to enforce correctness The current reference implementation of the JAXB 10 specification from Sun is limited to using DTDs as the schema language This is a limitation that has a significant impact on today s industry requirements especially for Web services This limitation is solved by XML schema support in the next version of JAXB In this chapter, we will take a look at a JAXB-like Java/XML data binding framework named CASTOR CASTOR is an open source project from Exolab (castorexolaborg) It provides a Java/XML data binding framework with W3C XML schema support.

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CASTOR is available for download from the Exolab Web site at http://castor exolaborg/ XML binding using CASTOR is done with the following steps: 1 Create a W3C XML schema defining the data structure, data types, and semantics of the XML data instance used in the application In a Java class, it corresponds to a class variable or a property using accessor methods 2 Using a CASTOR source code generator, transform the XML Schema to bind Java objects..

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We can use a multiperiod example to show how the difference between the MWR and the TWR shows the impact of cash ows on performance. Although we use the TWR to evaluate performance of an investment manager, the MWR is still important for measuring the growth in the assets of the fund over time. If there were no cash ows during the period the TWR and the MWR will be equal. When there are cash ows, the MWR and TWR will differ because the MWR takes cash ows into consideration while the TWR eliminates their effects. We can demonstrate these points with an example when a manager is responsible for two portfolios managed using the same strategy, and both funds have the same returns. Clients A and B in Exhibit 5.12 earn the same yearly returns over ve years. Client A makes no cash ows other than a $1000 initial investment. Cell B9 shows the calculation of the TWR equal to 0.80%. Exhibit 5.13 shows the calculation of the MWR for Client A. Because there are no cash ows, the MWR and the TWR for client A are equal. The cash ow pattern for Client B differs in that he made an initial investment of $200 and subsequent investments of $200 at the beginning of the next four years. Because Client B has more money at work in periods where the returns are higher, his MWR is higher than that for Client A. Exhibit 5.14 shows the calculation of the IRR for Client B. The annualized MWR is 2.56%, signi cantly higher than the annualized TWR equal to 0.16%.

The Eb/N0 coding gains are nearly 5.2 dB and at least 6 dB for the bit-error ratios (BER) of 10 5 and 10 7 respectively. When compared to uncoded BPSK there is no bandwidth expansion and the C/N coding gains are also nearly 5.2 dB and at least 6 dB. If uncoded QPSK is chosen as reference, a bandwidth expansion of a factor of 2 exists, and the gains in C/N become respectively 8.2 dB and 9 dB. Channel coding is a very efficient technique to improve transmission performance. It decreases the necessary Eb/N0 (and thus the transmit power) to achieve a given BER objective, reducing the cost of other system components such as RF elements and antennas.

As we discussed earlier in the section titled Understanding the Application Design, we will be implementing the following two scenarios for the ACME Web services provider:

Figure 25-5 shows a worksheet that uses the MONTHNAMES function. You enter the function by selecting A4:L4, and then entering the following formula:

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