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You start by drawing the drumhead, which is the basis for all the drums Start with a new movie Add two layers On the bottom layer, draw a circle We use a radial gradient from beige to white On the middle layer, draw a slightly larger circle ours is brown On the top layer, draw a slightly larger circle for the rim Ours has a linear gradient from brown to gold

Depth of field (DOF) is the distance in front of and behind your subject that is in sharp focus There is always less DOF in front of your subject than behind it Certain factors (illustrated in Table 22) can increase or decrease DOF to enhance the visual impact of your videography

where E(xi , xi ) is the Euclidean distance between particles i and i , and f (xi ) is the tness of particle i Note that this neighborhood calculation mechanism also allows for overlapping neighborhoods Based on this scheme of determining neighborhoods, the standard lbest PSO veloc ity equation (refer to equation (166)) is used, but with yi the neighborhood-best determined using equation (1648)

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Growing Neighborhoods As discussed in Section 162, social networks with a low interconnection converge slower, which allows larger parts of the search space to be explored Convergence of the fully interconnected star topology is faster, but at the cost of neglecting parts of the search space To combine the advantages of better exploration by neighborhood structures and the faster convergence of highly connected networks, Suganthan combined the two approaches [820] The search is initialized with an lbest PSO with nN = 2 (ie with the smallest neighborhoods) The neighborhood sizes are then increased with increase in iteration until each neighborhood contains the entire swarm (ie nN = ns ) Growing neighborhoods are obtained by adding particle position xi2 (t) to the neighborhood of particle position xi1 (t) if ||xi1 (t) xi2 (t)||2 < dmax where dmax is the largest distance between any two particles, and = 3t + 06nt nt (1650) (1649)

efore too long, moviegoers will no longer go to the theater but to their living rooms to watch a movie on their Web-enabled device, pushed (served) from a local server in their home media closet directly from the Internet The files will be downloaded to their video server during the middle of the night Applications like this one are the promise of new content-distribution systems coming online Combining elements of caching, content selection, and application development, these systems will enable profound new network-aware applications to make intelligent use of caches installed in the network

This allows the search to explore more in the rst iterations of the search, with faster convergence in the later stages of the search

N OT E Look for our drum set in 47fla in the Techniques folder of the CD-ROM Just pass the mouse over the drums as fast as you can!

Hypercube Structure For binary-valued problems, Abdelbar and Abdelshahid [5] used a hypercube neighborhood structure Particles are de ned as neighbors if the Hamming distance between the bit representation of their indices is one To make use of the hypercube topology, the total number of particles must be a power of two, where particles have indices from 0 to 2nN 1 Based on this, the hypercube has the properties [5]: Each neighborhood has exactly nN particles The maximum distance between any two particles is exactly nN If particles i1 and i2 are neighbors, then i1 and i2 will have no other neighbors in common Abdelbar and Abdelshahid found that the hypercube network structure provides better results than the gbest PSO for the binary problems studied

The scenario I used to introduce this chapter, however, brings up a problem in search of a solution The rapid growth of Internet traffic and the increasing complexity of internetwork communications create serious challenges for managing and distributing content At the same time, networks struggle to manage newer forms of communication, such as streaming media, that have the power to overload the network if handled incorrectly

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