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Table 2 Untraceable broadcast
1992
"... In PAGE 4: ... Table 1 summarizes general fault-tolerant multi-party protocols because they can be used to implement untraceable broadcast and secret ballot election. Table2 summarizes untraceable broadcast protocols, Table 3 secret ballot election protocols. The assumptions for untraceability and fault tolerance are independent.... ..."
Table 6: Impact of Movie Broadcasts on Piracy (Fixed Effects) for Broadcast Channels
1977
"... In PAGE 10: ...10 Twenty Eighth International Conference on Information Systems, Montreal 2007 Our results in Table6 show a significant increase in piracy immediately after movies are broadcast on over-the-air channels. Daily downloads, number of lechers, and number of seeds increase over the next 3 weeks after the broadcast.... ..."
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Table 1. Orders of the largest known broadcast networks with degree and broadcast time T .
"... In PAGE 4: ... Details of our methodology are delayed until Sec- tion 5. Table1 presents the best known lower bounds on B( ; T ) for small values of and T , T 3. In Table 1, bold entries are known to be optimal.... In PAGE 4: ... Table 1 presents the best known lower bounds on B( ; T ) for small values of and T , T 3. In Table1 , bold entries are known to be optimal. All of these in fact attain the upper bound on B( ; T ) given in Table 2.... In PAGE 4: ... Italicized entries are new results. All entries in Table1... In PAGE 6: ... In addition, each best broadcast graph is bipartite (many of the others are not). We now discuss our new entries in Table1 in more detail (see [4] for previous details). (3; 5): There are exactly four cubic transitive graphs with 24 vertices and broadcast time 5, all of which are Cayley graphs.... ..."
Table 1: Comparison of broadcast models
"... In PAGE 7: ... In fact, (a) the set of data items broadcast periodically in cycle i, and (b) the amount of bandwidth assigned to each transmission mode, more speci cally, P eriodic Broadcast Lengthcyclei and On Demand Lengthcyclei, could di er from cycle i to the next, to adapt to the needs of the clients. To summarize, in Table1 we list the features of the di erent models described above and of... ..."
Table 2 Percentage of unsuccessful broadcasts
"... In PAGE 11: ... From degrees between 7 and 10, all algorithms failed in several occasions; however, for higher degrees only BPS failed at least in one occasion. Table2 gives these results. Figure 11 Percentage of collisions from transmitting nodes Table 2 Percentage of unsuccessful broadcasts ... ..."
Table 3. Subclasses of Sequential and Broadcast
1997
"... In PAGE 6: ... Thus, the function which determines the subclassification is: g b = preS ((); b) Despite the fact that this function is not binary, associa- tivity again plays a key ro le in the subclassification of the classes Sequential and Broadcast. Table3 lists different forms of function g with their corresponding subclasses of Sequential and Broadcast. 4.... In PAGE 8: ... Remember that n, the depth of the recursion, is still determined by the list of local inputs as = [(); n times : : : ; ()]. For all subclasses of Sequential, shown in Table3 , ex- cept Identity, we use a processor network with log n pro- cessors in a row (repeat) which computes the result with time(n) = O(log n), costBrent(n) = O(log n) and pipe(n) = O(1). We assume n to be a power of 2.... In PAGE 9: ....3. Broadcast In this class we apply function g to the global input n times and return a list of intermediate results and the final re- sult whose implementation is known from the previous sec- tion. For all subclasses shown in Table3 , we use a tree-like processornetworkwith n processorswhich computes the re- sult with time(n) = O(log2 n), costBrent(n) = O(n) and pipe(n) = O(1). At each node, a function is applied which receives the input from its parent on the left side and pro- vides two outputs to its children on the right.... ..."
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Table 6.1: The definitions of Broadcast Domination and Modified Broadcast Domination.
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