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Originally, most of the gigabit switches and routers on the market still used the traditional fiber connections Fiber is still much more flexible in terms of the distances covered and its ease of use Almost any multimode fiber link will support Gigabit Ethernet at more than double the copper distance However, for proper operation at gigabit, enhanced Cat 5e or better cable and connectors must be installed to the very highest standards of workmanship to be usable, and even then, the distance is limited to only 100 m We should mention that a lesser-known copper standard, 1000BaseCX, exists that uses twinax over a distance of 25 m This standard is not often seen, but exists to allow the short-range interconnection of two Gigabit Ethernet devices without the need for expensive laser optics Fiber-Optic Standards for Gigabit Ethernet Three fiber-optic standards are available for Gigabit Ethernet The two primary standards use a range of fiber modes and transceiver wavelengths and are intended to support link distances from 220 m to 5000 m A third standard is in development, and equipment manufacturers are already offering this option All require laser optics, because of the higher bandwidth requirements for gigabit data rates Each fiber standard is intended to support an increasing link distance 1000BaseSX, LX, SLX, ELX, ZX Table 121 shows the three fiber-optic standards, along with the types of optical fiber and the specified operating distance The

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distribution V Figure 71 shows this definition of error in graphical form The concepts c and h are depicted by the sets of instances within X that they label as positive The error of h with respect to c is the probability that a randomly drawn instance will fall into the region where h and c disagree (ie, their set difference) Note we have chosen to define error over the entire distribution of instances-not simply over the training examples-because this is the true error we expect to encounter when actually using the learned hypothesis h on subsequent instances drawn from D Note that error depends strongly on the unknown probability distribution 2 For example, if D is a uniform probability distribution that assigns the same ) probability to every instance in X, then the error for the hypothesis in Figure 71 will be the fraction of the total instance space that falls into the region where h and c disagree However, the same h and c will have a much higher error if D happens to assign very high probability to instances for which h and c disagree In the extreme, if V happens to assign zero probability to the instances for which

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10 Feb 2017 ... Reading PDF files and extracting table elements. Mario - ... C# code. // Load PDF document. DocumentModel pdfDocument = DocumentModel.

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If you want to go with using a commercial product, you should check out the LEADTOOLS PDF SDK. You can use the LEADTOOLS libraries to ...

The floor() method takes in the value of the rand_num variable as a parameter and then gives you an integer from it If you want to save a line of code, you could get a little fancy You could just insert the random() method and calculation as the parameter to the floor() method You can do this because the result of the calculation, Mathrandom*5, is a number, and the floor() method can take a number as a parameter The following code shows how you can code this on a single line:

FIGURE 71 The error of hypothesis h with respect to target concept c The error of h with respect to c is the probability that a randomly drawn instance will fall into the region where h and c disagree on its classification The + and - points indicate positive and negative training examples Note h has a nonzero error with respect to c despite the fact that h and c agree on all five training examples observed thus far

var rand_int = Mathfloor(Mathrandom()*5);

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TABLE 121 Gigabit Ethernet Fiber-Optic Link Parameters IEEE 8023z fiber mode 1000BaseSX 1000BaseSX 1000BaseLX 1000BaseLX 1000BaseLX 1000BaseSLX 1000Base ELX/ZX Wavelength,* nm 850 850 1300 1300 1300 1550 1550 Core/cladding diameter, m 50/100 625/125 50/100 625/125 10 10 10 Mode MMF MMF MMF MMF SMF SMF SMF Bandwidth, MHz/km 400-500 160-200 400-500 500 N/A N/A N/A Range, m 500-550 220-275 550 550 5000 10,000 70,000

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C# PDF : C# Code to Process PDF Document Page Using C# .NET ...
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