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Now let us get a quick hands-on experience with Visual Studio 2010, Expression Blend for .NET 4, and Silverlight by creating a simple but very powerful RIA. I will demonstrate the new capabilities of Silverlight 4, such as local file integration, with the new RichTextBox control, using the drag-and-drop functionality to insert JPG and PNG images within the RichTextBox control. You can start creating a Silverlight 4 project using Visual Studio 2010 or Expression Blend 4 RC. Here we will start by loading Visual Studio 2010 and creating a new Silverlight Application project with the name FirstApplication under C:\Users\<user name>\Documents\Books\Accelerated Silverlight 4\Source\ 1\Project1\ (see Figure 1-1).



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Test Methodology for the Turning-Point Model The test methodology for this model is identical to that used for the time-reversed Slow %K model. The fact set is generated, loaded into N-TRAIN, scaled, and shuffled. A series of nets (from 3. to 4-layer ones) are trained to maximum convergence and then polished. Statistics such as shrinkage-corrected correlations are calculated. Training Results for the Turning-Point Model Bo&vn Forecaster. The structure of Table 1 l-2 is identical to that of Table 11-l. As with the net trained to predict the time-reversed Slow %K, there was a monotonic relationship between the number of connections in the network and the multiple correlation of the network s output with the target; i.e., larger nets evinced higher correlations. The net was trained on a total of 23,900 facts, which is a smaller fact set than that for the time-reversed Slow %K. The difference in number of facts resulted because the only facts used were those that contained some uncertainty about whether tomorrow s open could be a turning point. Since the facts for the bottom forecaster came from more widely spaced points in the time series, it was assumed that there would be less redundancy among them. When corrected for shrinkage, effective sample sizes of 23,919 (equal to the actual number of facts) and 8,000 (a reduced effective fact count) were assumed. In terms of the more severely adjusted correlations, the best net in this model appeared to be the largest 4-layer network; the smaller 4-layer network was also very good. Other than these two nets, only the 3.layer network with 10 middle-layer neurons was a possible choice. For tests of trading performance, the large 4-layer network (nn9.nef) and the much smaller 3-layer network (n&.net) were selected.

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process, engineers can shift the point at which minimum dispersion occurs from 1,310 nm to 1,550 nm, causing it to coincide with the minimum loss point such that loss and dispersion occur at the same wavelength. Unfortunately, while this fixed one problem, it created a new and potentially serious alternative problem. DWDM has become a mainstay technology for multiplying the available bandwidth in optical systems. When DWDM is deployed over dispersion-shifted fiber, serious nonlinearities occur at the zero dispersion point, which effectively destroy the DWDM signal. Think about it: DWDM relies on the ability to channelize the available bandwidth of the optical infrastructure and maintain some degree of separation between the channels. If dispersion is minimized in the 1,559 nm window, then the channels will effectively overlay each other in DWDM systems. Specifically, a problem called fourwave mixing creates sidebands that interfere with the DWDM channels, destroying their integrity. In response, fiber manufacturers have created nonzero dispersion-shifted fiber (NZDSF) that lowers the dispersion point to near zero and makes it occur just outside of the 1,550 nm window. This eliminates the nonlinear four-wave mixing problem.

T A B L E 11-Z -,.

A classic business quote, imminently applicable to the optical networking world, observes in its success lie the seeds of its own destruction. As the marketplace clamors for longer transmission distances with minimal amplification, more wavelengths per fiber, higher bit rates, and increased signal power, a rather ugly collection of transmission impairments, known as fiber nonlinearities, rises to challenge attempts to make them happen. These impairments go far beyond the simple concerns brought about by loss and dispersion; they represent a significant performance barrier. The special relationship that exists between transmission power and the refractive index of the medium gives rise to four service-affecting optical nonlinearities: self-phase modulation (SPM), cross-phase modulation (XPM), four-wave mixing (FWM), and intermodulation.

Self-Phase Modulation (SPM)

Note As you see in Figure 1-1, three new project templates are introduced in Silverlight 4 and Visual Studio

Net Name INet Size ! NNI .NET NN2.NET NNB NET . .-.. .- ,. NN4.NE. NNS.NET NN8.NET NN7.NE-r NNB.NE 1841 18&i 1 &&I .--. IlIL~h4 ._ ._ . 1 &I 2-1 1818-l 1 a-20-.1 18-14-4-1

When SPM occurs, chromatic dispersion kicks in to create something of a technological double whammy. As the light pulse moves down the fiber, its leading edge increases the refractive index of the core, which causes

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