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In this chapter, we have introduced you to Web Services the architecture that goes by the find-bind-execute model and how standards like UDDI, WSDL, and SOAP have made Web Services ubiquitous as compared to earlier distributed computing models, in terms of standardization and interoperability. We looked into the details of the UDDI, SOAP, and WSDL standards, and we demonstrated how WSDL documents and SOAP messages are constructed with a simple credit service example. We discussed some use cases for which web services can be used, and we discussed how they fit into intranet and Internet models, including some examples of existing e-commerce sites that provide web services.

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The receive antenna, with its 20 dB of gain, will take the 105 dBm signal and amplify it by 20 dB to 85 dBm, while the 3 dB of cable losses will drop the 85 dBm signal level to 88 dBm Thus, 88 dBm of signal is finally placed at the receiver s front-end input from the original transmitter signal We can see that a total gain of 100 dB will be required of the receiver to meet or exceed the 10 dBm output power requirement into the modem or detector, or 100 dB ( 88 dBm) We have left ourselves a small gain implementation budget of about 2 dBm to cover design-to-realization (real-world) losses, for a total signal level out of the receiver of 12 dBm.

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We then dived into the Java EE platform and looked at different standards (JAX-WS, JAXB, JAXR, SAAJ, and JSR 181) that are enabling developers to create web services that are portable and interoperable with the .NET platform. We then looked at how to publish EJB 3 stateless session beans as web services using simple Web Services Metadata annotations. We developed a credit service that can be invoked from web service clients. Finally, we looked at packaging, deploying, and testing web services using the GlassFish application server and Java clients, and we also looked at how this programming model is similar to invoking web services with EJBs. So far, we have discussed the individual components of the EJB 3 specification: session beans, JPA entities, MDBs, and web services. In the next chapter, we will discuss how you can integrate all these components to build an enterprise application.

We then employ the SNR formula as shown above to find that we have a good SNR of over 20 dB at the receiver s output and a small 09 dB for the SNR implementation budget, for a total of 209 dB We have found that the link will be quite dependable over almost all atmospheric conditions and during most parts of the year The final value of the communications receiver s output signal above the noise depends on the receiver s bandwidth, its NF (which is why receiver NF is so important, since a 1-dB improvement in NF translates to a 1-dB improvement in SNR at the detector), antenna temperature, antenna gain, cable losses, and transmitted EIRP.

Earlier chapters in this book have covered the individual components of EJB 3. These include session beans, entities, message-driven beans (MDBs), and stateless session beans as web services. In this chapter, we will show how you can put together these individual components into a complete Java EE 5 application, using a fictitious wine store application as an example.

discussions do not apply directly to the area between x = a and x = b. What we can do is instead consider the function g = f . Its graph is shown in Figure 4.13. Of course g is a positive function, except at the endpoints a and b; and the area under g ---between x = a and x = b---is just the same as the shaded area between x = a and x = b in Figure 4.14 (refer also to Figure 4.12). That area is

However, the actual signal amplitude at the receiver s detector input depends only on the receiver s antenna gain and cable losses, receiver RF and IF gain, and the transmitted power..

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