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three standards are 1000BaseSX, 1000BaseLX, and 1000BaseSLX (an emerging standard) Within the gigabit speed range, they are often referred to simply by the suffix letters SX, LX, and SLX The three suffixes actually refer to the wavelength of light that is transmitted As shown in earlier chapters, the wavelengths commonly used for fiber-optic transmission are 850, 1350, and 1550 nm, with the last two being used primarily on single-mode fiber So, you can say that the SX on 850 is the short wavelength, the LX the long wavelength, and the SLX the super-long wave mode Conveniently, the letters also correspond to the relative transmission distances of each operating mode Thus, SX is short distance, LX is longer distance, and SLX is super-long distance Convenient, isn t it The new ELX and ZX standards offer extreme distances, way outside the needs of LAN wiring Understanding Fiber Performance at Gigabit Ethernet Speeds Several factors affect the bandwidth and range of Gigabit Ethernet fiber links Most of these were discussed in 5; however, they gain special importance at these much higher data rates Chief among these factors is the bandwidth of the transmitting optics that launch the beam of light along the fiber In lower-speed transmissions, inexpensive light-emitting diodes (LEDs) are used However, LEDs do not have the speed to support gigabit transmission bandwidths, so more expensive laser diodes must be used Another problem that affects link performance is the spectral width of the transmit optics An ideal light source for fiber-optic transmission would have zero spectral width; it would produce a pure light of just one wavelength In practice, these solid-state light sources produce light that is distributed across a band of wavelengths, approximated as a bell-shaped curve, with the peak at the desired nominal wavelength An LED has a relatively broad spectral width of about 150 nm That is, a device that operates at 850 nm actually produces light near 850 nm that may range from 775 to about 900 nm A typical laser diode source has a spectral width of about 5 nm See Fig 122 The special width is important because of a phenomenon called chromatic dispersion As you know from looking at a prism, different colors of light are refracted differently when passing through the glass The fiber core of a multimode graded-index fiber will refract the different wavelengths of light accordingly, and the components of a transmitted wave front will arrive at the destination receiver at slightly differing times At the high data rate of Gigabit Ethernet, this signal distortion can make the signal unusable as the distance increases For standard LEDs, with a very wide spectrum to begin with, this usable distance is far too short to be used for a gigabit connection Laser diodes have a much narrower bandwidth, on the order of 5 to 10 nm, and therefore experience much less of the chromatic dispersion phenomenon. save memorystream to pdf file c# Dynamically create pdf in C# · GitHub
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NET PDF document processing add-on (RasterEdge.Imaging. PDF . dll ) from RasterEdge DocImage SDK for .NET is one of those strongly-featured and mature ... a hypothesis h for which errorD(h) = 0 Unfortunately, it turns out this is futile in the setting we are considering, for two reasons First, unless we provide training examples corresponding to every possible instance in X (an unrealistic assumption), there may be multiple hypotheses consistent with the provided training examples, and the learner cannot be certain to pick the one corresponding to the target concept Second, given that the training examples are drawn randomly, there will always be some nonzero probability that the training examples encountered by the learner will be misleading (For example, although we might frequently see skiers of different heights, on any given day there is some small chance that all observed training examples will happen to be 2 meters tall) To accommodate these two difficulties, we weaken our demands on the learner in two ways First, we will not require that the learner output a zero error hypothesis-we will require only that its error be bounded by some constant, c, that can be made arbitrarily small Second, we will not require that the learner succeed for every sequence of randomly drawn training examples-we will require only that its probability of failure be bounded by some constant, 6, that can be made arbitrarily small In short, we require only that the learner probably learn a hypothesis that is approximately correct-hence the term probably approximately correct learning, or PAC learning for short Consider some class C of possible target concepts and a learner L using hypothesis space H Loosely speaking, we will say that the concept class C is PAC-learnable by L using H if, for any target concept c in C, L will with probability (1 - 6) output a hypothesis h with errorv(h) < c, after observing a reasonable number of training examples and performing a reasonable amount of computation More precisely,. how to edit pdf file in asp.net c#, asp.net pdf editor component, asp.net pdf editor control, c# pdf library open source, how to edit pdf file in asp.net c#, pdf annotation in c# c# pdf parser free Upload and Download PDF file Database in ASP.Net using C# and ...
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FileName; // getting the file path of uploaded file string filename1 = Path. ... to the Gridview selected index changed event to download the files: ...
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