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As mentioned, we study the synchronization problem in the asymptotically dense regime, since it closely approximates the behavior of networks with large, but still nite, densities. As a result, an obvious question is how well the limiting regime actually approximates nite-density networks. In an effort to answer this question, we implement a simulator to study the performance of our synchronization mechanism on nite-density networks. This is a key step toward building a massively distributed software radio. Note that the simulation results are presented in time units that are unspeci ed. The reason for this is that any time units can be used and the results will still hold. What is most important to note in the simulations is that even with a nite number of nodes, the synchronization error closely approximates the limiting results presented in Section 2.4.3 thus showing that the limit regime gives us analytical results that closely model nite-sized networks. The time synchronization simulator is implemented in MATLAB, and the N nodes are uniformly distributed over a circle with area 30. The node parameters are independently and randomly generated using Di N (0,0:1) and ai jXj, where X N (1,0:01). The jitter variance is set to be Var(Ci) 0.01 for all i. In the generation of the aggregate waveform we use the following parameters:



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On fertilization, his physical and emotional commitment can end with minimal consequences Although the protective and foodgathering efforts of the male may be lost by an early abandonment of a mother and an offspring or two, much more may be gained by investing energies in pursuits that achieve the wide.

Now we take a very brief look at using the Color dialog. Figure 3.5 shows an example of the Color dialog. Applications use this dialog as a user interface for making color selections. Pressing the Define button causes the dialog to expand into the form shown in Figure 3.6.

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influential developments in theories of intelligence include the work of Robert Sternberg (1996, 1997a) and Howard Gardner (1983, 1986, 1994), and reflect a more biopsychosocial perspective in the description of intelligence. Sternberg offered a triarchic theory of intelligence that identifies three categories of intelligence: componential, experiential, and contextual. This theory is consistent with the holistic biopsychosocial perspective. The componential aspect of intelligence includes analytical thinking, and the experiential factor includes creative abilities. The contextual factor refers to good street smarts and the ability to adapt to and manipulate the environment. Thus, Sternberg views intelligence as involving practical and creative elements, with biological, psychological, and social underpinings, traditionally ignored in both research and assessment of intellectual functioning. Gardner (1983, 1986, 1994) developed a theory of multiple intelligences comprising six different types of intelligence: linguistic, logical-mathematical, musical, bodily-kinesthetic, spatial, and personal. Gardner s view thus includes music and body awareness, which have been ignored in earlier views of intelligence. Both Sternberg and Gardner have attempted to develop theories of intelligence that emphasize the practical aspects of human existence, accounting for a wider variety of skills and tasks and cultural contexts utilized to survive and thrive in the world. Emphasis on emotional intelligence (Goleman, 1995) further highlights the more holistic approach to understanding intellectual functioning and suggests that social skills and emotional functioning play an important role in intelligence as well as the ability to achieve goals and be successful. Knowing and managing one s emotions and recognizing emotions in others are part of emotional intelligence, and have tremendous biopsychosocial implications. For example, social experiences may

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NEXT-GENERATION ENTERPRISE NETWORKS2 Intranets are corporate or enterprise networks that facilitate seamless communications and networked computing within a single corporation. To carry out business functions, however, corporations have traditionally employed several other networks to provide business services such as telephony, faxing, computing, and network administration. Today, these services revolve around two basic networks: PSTN, which provides basic telephone services, and the Internet. As shown in Figure 6-5a, these separate networks handle telephone and data/Internet services today. Next-generation enterprise networks (NGENs) must ful ll current expectations for corporate networks, and must also seamlessly support mobility and multimedia applications. And, they must achieve this by using exible, often adaptive, self-con guring, and interoperable architectures. NGENs also must be user-friendly and scalable. They must support bandwidth and QoS requirements, in addition to delivering the expected reliability and availability. To meet these requirements, the trend is to consolidate these disparate networks (PSTN and the Internet) into one simple (IP only) high-capacity, reliable, scalable, QoS-aware network, as shown in Figure 6-5b. NGENs will use one set of protocols such as IPv4 (which needs IPSec and QoS mechanisms to support the security and service requirements) or IPv6 (which has a larger address space, as well as built-in QoS and security support) processes, and vendors and one set of management, administration, and billing processes. They must be able to easily accommodate emerging computing and communications technologies and next-generation uni ed and simpli ed services. Customers Expectations Corporations expect NGENs to seamlessly support automated services and applications, facilitate process reengineering and technology consolidation, and support e cient network management and maintenance. A few of the emerging strategies for consolidating PSTN and Internet-based networks are as follows:

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