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Pretty much the same as the previous example, except that you re extracting the shortcode_atts() array, and the $content = null part which tells you that you need to close this shortcode. You ll also call that in your return statement to get the stuff in between the opening and closing shortcode tags. In other words, it is [shortcode]$content[/shortcode], and whatever else you cram in there. That is where the attributes come in, in this case just oat. The idea is that when using the [pull] shortcode, the user sets oat to either alignleft or alignright, like this: [pull oat="alignright"]My text[/pull]. Seasoned theme designers know that both alignleft and alignright are standard classes for positioning used in WordPress, so your theme should have those already. You ll use them to position the pull quote. In other words, you return the code, being a block quote with the class pull quote, and whatever value the user has given the oat attribute, and output it. The use [pull oat="alignright"]My text[/pull], will output this in code:

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In PRT, the system does not transmit all the redundant data Instead, the server transmits only a subset of the redundant data and then activates more redundant data transmissions when a server failure is detected, thus reducing the network bandwidth overhead incurred during normal-mode operation Obviously the system must be able to detect server failures quickly so that the system can be recon gured to send additional redundant data By contrast, this extra step of failure detection is not needed in FEC For simplicity, we will focus on a special type of PRT algorithm where none of the redundant data are transmitted until a server failure is detected We will revisit the more general PRT algorithm in 13 when we compare FEC and PRT in details.

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In a system with N S servers and a video data rate of RV , each server only needs to transmit at a rate of RV /N S we call it Min-Rate transmission Upon a simultaneous x-server failure (0 < x K ), the surviving servers will have to increase the transmission rate from RV /N S to RV /(N S x) to maintain the same aggregate video bit-rate This Min-Rate transmission scheme thus requires dynamic recon guration of the server scheduler as well as network bandwidth allocations Alternatively, the system can maintain the transmission rate at RV (N S K ) we call it Std-Rate transmission, even when there is no failure The servers just skipped transmitting the redundant units.

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of a new bump-shaped kernel function k[(x X)/h]/h centered on the argument X of the desired estimate f(X) The window width h of a kernel determines the spread of the bump and thus the resolution of the probabilitydensity estimate h can be made smaller for larger sample sizes n Our primitive rectangular window rect[(x X)/h]/2 weights all x-values falling into its window equally and suppresses all others, but more general kernel functions k[(x X)/h] let x-values farther away from the argument value X contribute to the sample average Since x(X) is continuous, this provides a sort of interpolation and may reduce the estimate variance for a given resolution The probability-density estimate f(x) is correctly normalized if the kernel function k(X) is normalized, so that k(X) dX = 1 implies f(X) dX = 1

Handy for people not wanting to hack the HTML code. Of course, if you want more attributes you can just add them to the array, and then include them where you wanted them. 187

When an x-server failure occurs, the system will simply recon gure x of the servers to start transmitting redundant data, thereby maintaining enough data for erasure correction at the clients This approach eliminates the need to dynamically recon gure the server scheduler and network connections If the network does not require per-channel resource allocation (eg, FastEthernet), Min-Rate transmission will have no advantage over Std-Rate transmission, as the average rate is the same for both schemes On the other hand, if the network requires per-channel resource allocation such as CBR service in Asynchronous Transfer Mode (ATM), then under Min-Rate transmission the servers will need to re-negotiate a higher bandwidth allocation from the network upon detecting a failure However, recon guring hundreds or even thousands of connections simultaneously could overload the network management center, which in turn could delay the recon guration process signi cantly.

The estimate mean and variance cannot be derived as easily as in Eq (14) But it can be shown [10] that f(x) is an asymptotically unbiased and consistent estimate of x(X), and

You may be wondering if nested shortcode works. It does, and you can put one shortcode tag inside another, just as long as you open and close them properly, just like HTML. For instance, this will work:

Therefore, we conclude that the Min-Rate transmission scheme does not offer signi cant advantages over Std-Rate and is dif cult to implement ef ciently By contrast, the Std-Rate transmission scheme is much simpler to implement, and so we will only consider the Std-Rate transmission scheme in the rest of the chapter..

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