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// Create a Name object and add to SOAPBodyElement Name bodyName = soapEnvelope.createName( SubmitPurchaseOrder , wiley , http://jws.wiley.com/jws ); SOAPBodyElement sbe = body.addBodyElement(bodyName); // Create a Name object and add body child elements Name elemName = soapEnvelope.createName( BookName ); SOAPElement se = body.addChildElement(elemName); se.addTextNode( Developing Java Web services );

PCM-PSK network reference and monitor stations (NRMS)

A power electronic converter uses a matrix of power semiconductor switches to enable it to convert sources of stationary electric power into rotating electrical power, and vice versa, at high ef ciency. The standard de nition of a converter assumes one input source connected to an output source or a load, as indicated in Figure 12.3. The inherent regenerative capabilities of renewable energy systems require fewer restrictions for input output or supply load when connecting two sources. The links between a power converter and the outside world can be perceived as a possibility of power reversal, where the sink can be considered as a negative source,

(a ; p)

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For a rough estimate of the average illuminance on a horizontal surface, the abbreviated version of the lumen method described below will suffice. It considers both the interreflections of light from room surfaces and the contributions of several light sources. It corrects for maintained illuminance, accounting for typical depreciation in lamp lumens over the life of the source and for dirt accumulation on the luminaire surfaces. This shorthand method is not a substitute for more precise illuminance calculations. It is merely a guide to be used as a quick analysis during the design process. To calculate the average maintained illuminance falling on a horizontal surface,

(3.10)

TABLE 9-3. Structures and Anti-HIV Activities of Disubstituted DCK Analogs (63 72)a,24

So now that we know about what XML Signature is and its syntax, let s see how to sign a document and then verify the signature on this document. For demonstrating this, we will refer to the Funds Transfer example again. In this example, Web service FT_SubmitRequest_ACH_WS, hosted by American Bank, submits the request for transferring funds to ACH, hosted by FT_RequestReceiver_WS. As part of this SOAP interaction, FT_SubmitRequest_ACH_WS sends transfer_details.xml as a payload to the SOAP request. As we know, transfer_details.xml consists of all the details pertaining to a funds transfer. Thus, it is obvious on the part of ACH to be able to authenticate the identity of American Bank by demanding a signed transfer_details.xml document from American Bank. Also, ACH can use this signed information for confronting any potential repudiation claims made by American Bank in the future. American Bank, therefore, signs transfer_details.xml with its private key and sends the signed XML document to FT_RequestReceiver_WS of ACH. Upon receiving this SOAP message, FT_RequestReceiver_WS extracts the signed transfer_details.xml payload and verifies the XML digital signature, thus reaching the conclusion that a funds transfer request is really being made by American Bank. Again, our main focus is to understand the core logic for signature generation and validation, and hence, for the scope of this example we will not bother implementing the actual FT_SubmitRequest_ACH_WS and FT_RequestReceiver_WS services. Our example demonstrates signing transfer_details.xml and verifying the signed contents of transfer_ details.xml, with the help of a Java main class SignatureTest, which in turn uses a GenerateValidateSignature utility class that implements the actual signature functionality. In a real-life scenario, both FT_SubmitRequest_ACH_WS and FT_RequestReceiver_WS Web services would use the GenerateValidateSignature utility class, for performing these signature functions. Figure 13.12 shows the UML class diagram depicting an association between the SignatureTest and GenerateValidateSignature classes.

range. It also means that lens is heavier than its variable aperture counterpart and physically larger. Photographers often refer to these lenses as fast glass because their maximum apertures are in the f/2.8 to f/4 neighborhood.

FIGURE 8.6 Mean Tracking Trinomial Tree of yt+1. Thus, explosion problems and their consequences of shortened maturities cannot occur. The MT tree is built as follows. At date t, the node is chosen to be that closest to the mean of yt+1 given (yt, h2), that is, yt + r (h2/2), where the mean = r (h 2 / 2). t t t By the geometry of the tree, the node s logarithmic price equals yt + a n for some integer a. The criterion by which a node is chosen ensures that: |a n | n/2 (8.47)

Input data are accurate, complete, authorized, and correct. Data are processed as intended in an acceptable period of time

The solution is obtained by stacking the X i matrices and y i vectors together and solving for p*. Similar equations can be written for the purely linear case (t = 0):

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