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OneHopNeighborhood versus TwoHopNeighborhood strategies for determining the number of TRXs to be reallocated a channel 3 The random scheme versus interference-based one for selecting the TRXs 4 The random versus interference-based channel selection strategies Concerning the initialization method, Figure 96 shows that the (1 + 10) EAs using the Advanced Init scheme reach, on average, better frequency assignments than the con gurations with Random Init It is clear from these results that our proposed EAs can pro t from good initial plannings that guide the search toward promising regions of the search space If we compare the different strategies used in the perturbation method, several conclusions can be drawn First of all, con gurations of the (1 + 10) EA that reallocate the channel to a smaller number of TRXs, that is, OneHopNeighborhood strategy, against using the TwoHopNeighborhood scheme report a small improvement in the AFP cost.

Today, corporate information systems departments are growing more concerned with threats to system security from a Microsoft Word virus to a denial of service attack to a hack resulting in a loss or corruption of data. More than ever before, decision-makers must take steps to secure their systems. Fortunately, decision-makers who have made Java technologies, including EJB, an integral part of their shops are a step ahead of those who haven t. This chapter discusses the security features available when deploying Enterprise JavaBeans, starting with a brief overview of security and then focusing on security features found in the Java programming language. This chapter also introduces the additional security features EJB brings to the table, featuring a discussion of the security roles of the players in the EJB arena, and concluding with a few thoughts on system security outside the Java environment. First, let s take a look at the topic of system security and what the Java environment has to offer in the security arena.

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However, it is clear that randomly choosing the TRX (and its corresponding.

words, RE/MAX franchises were more valuable when there were other RE/MAX franchises in the network It was all about developing market presence, creating brand awareness, sharing ideas, and building momentum The combination of those intangible things helped real estate agents sell more real estate The overall success of the RE/MAX system helped the franchises recruit more agents The only way the system benefited anyone was when it benefited everyone This was the core of the everybody wins principle Understanding that idea, Jesperson and Fisher set out to sell more franchises and regions They were doing it for RE/MAX, but they were also doing it for themselves They knew that their own region and offices would be more successful if there were more RE/MAX offices and agents in the world It didn t matter if those agents were in Colorado or Ohio.

a direct form Unfortunately, in contrast to the approaches based on a direct test for decomposability or on the strengths or marginal dependences, it is much more difficult to use conditional independence tests in a heuristic search The reason is that testing whether the conditional independence statements represented by a given graph hold yields only a binary result: either the statements hold (at least wrt to some evaluation measure and a given error bound) or they do not However, for a heuristic search we need a gradual measure of how much better or worse one graph is compared to another Of course, one may try to construct such a measure, for example, by summing the assessments (computed with an evaluation measure) of all conditional independence statements represented by the graph.

However, it is hard to see how such a measure can be normalized appropriately so that two graphs with a different structure can be compared with it In addition, we face the problem that the number of conditional independence statements represented by a given graph can be very large An extreme example is a simple undirected chain: the two attributes at the ends of the chain must be conditionally independent given any nonempty subset of the attributes between them (and these are, of course, not all conditional independence statements that have to be considered in this case) Although it may be possible to reduce the number of conditional independence statements that have to be considered by exploiting the equivalence of the different Markov properties of graphs (cf Section 41.

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