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as unlimited bandwidth, at least as far as wireless is concerned First, the frequencies are limited, and many are already in use by other important services, such as radio, television, microwave, police, fire, emergency services, and on and on Second, it is simply not possible for two signals to occupy the same physical space at the same frequency without destructive interference Given these facts, wireless cools off Most of these whatever is dead claims are made for self-serving reasons One cannot totally condemn the proponents (and venture capitalists) of new technologies for shameless self-promotion One simply does not have to believe them completely As with all half-truths, half of what they say is true Fiber did carry gigabit (and later 10 gigabit), and copper did not initially Fiber did have limited bandwidth and distance initially Wireless truly is amazing and can do things one cannot do with conventional wiring but not all things, and not without constraints OK, what can copper and fiber cabling do that wireless cannot Lots of things! For one, unlike structured cabling, wireless has terrible interference problems And its security problems are legend Implementation is rather interesting: no property rights on most frequencies, and no way to mitigate interference The frequency bands of wireless LANs are fraught with troublesome interferers, including microwave ovens, cordless phones, competing technologies, and (yes, as unbelievable as it seems) even radio frequency lighting Wireless communications, by its very nature, travels with little regard to walls, ceilings, or property lines The average urban home can probably detect from 5 to 25 wireless LAN signals, not including their own Transmission bandwidths limit the channel capacity of the most popular band (24 GHz) to only three nonoverlapping channels (two actually overlap a little) Security has been a joke, with any joker able to crack the limited encryption method most often used, if one even bothers to implement it at all Popular wireless LAN implementations operate in unlicensed bands, so you cannot even depend on long-term use of a channel for a wireless link or coverage area, unless you own the land for a considerable distance The popular wireless protocol, being quite the gentleman, obliges the use of the channel for any other user, no matter how uncouth How then can structured cabling be inferior LAN wiring has no interference issues, other than a few very minor concerns that are easily eliminated with proper cable routing and placement LAN Wiring has no frequency issues: within its rated bandwidth, you get exclusive use of the cable link And, you can place as many parallel cables as you wish One cable, one gigabit (or even 10 gigabits) Two cables, two gigabits (or 20) One hundred cables, 100 gigabits Easy math, easy to do, no particular problems, other than the size of 100 cables, but with fiber, you could multiply that bandwidth many-fold in a fraction of the size.

The Modulus-and-Assign Operator (%=)

Like the other assignment variables that also perform math, the %= operator does a calculation for the variable assignment It divides the variable on the left side of the operator by the value on the right side, takes the integer remainder of the division, and assigns the result to the variable Here is how you might assign a value to the mymoney variable using the modulusand-assign operator:

E2' 1

Typical Token-Ring Planning Calculation in 16 Mbps Networks MTD, m (ft) Number of telecommunications rooms 3 4 5

var mymoney=1000; var cutpayby=2; mymoney%=cutpayby;

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FIGURE 41 Neural network learning to steer an autonomous vehicle The ALVINN system uses BACKPROPAGATION to learn to steer an autonomous vehicle (photo at top) driving at speeds up to 70 miles per hour The diagram on the left shows how the image of a forward-mounted camera is mapped to 960 neural network inputs, which are fed forward to 4 hidden units, connected to 30 output units Network outputs encode the commanded steering direction The figure on the right shows weight values for one of the hidden units in this network The 30 x 32 weights into the hidden unit are displayed in the large matrix, with white blocks indicating positive and black indicating negative weights The weights from this hidden unit to the 30 output units are depicted by the smaller rectangular block directly above the large block As can be seen from these output weights, activation of this particular hidden unit encourages a turn toward the left

Here, the variable mymoney is divided by the value of the variable cutpayby, which is 2 The result of that is 500 with no remainder, meaning that the end result of the calculation is 0 Thus, 0 is the value that gets assigned to the variable mymoney (If they start cutting pay like this anyplace, it is probably time to leave!)

Try This 5-1

2 130 (430) 130 (420) 125 (410) 120 (400) 120 (390) 115 (380) 110 (360) 105 (350)

~t is also applicable to problems for which more symbolic representations are often used, such as the decision tree learning tasks discussed in 3 In these cases ANN and decision tree learning often produce results of comparable accuracy See Shavlik et al (1991) and Weiss and Kapouleas (1989) for experimental comparisons of decision tree and ANN learning The BACKPROPAGATION algorithm is the most commonly used ANN learning technique It is appropriate for problems with the following characteristics:

In this project, you create a page that uses some of the mathematical and assignment operators and writes the results on an HTML page

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