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Wavelength division multiplexing (WDM) is just another name for frequency division multiplexing (FDM). In this section we will hold with the conventional term, WDM. The WDM concept is illustrated in Figure 9.33. WDM can multiply the transmission capacity of an optical ber many-fold. For example, if we have a single ber carrying 2.4 Gbps, and it is converted for WDM operation with 10 WDM channels, where each of these channels carry 2.4 Gbps, the aggregate capacity of this single ber is now 2.4 10, or 24 Gbps. The 1550-nm band is the most attractive for WDM applications because the aggregate wavelengths of a WDM signal can be ampli ed with its total assemblage together by a single EDFA. This is a great advantage. On the other hand, if we wish to regenerate the digital derivate of a WDM signal in a repeater, the aggregate must be broken down into its components, as shown in Figure 9.34. The cogent question is: how many individual wavelength signals can we multiplex on a single ber It depends on the multiplexing/ demultiplexing approach employed, the number of EDFAs that are in tandem, the available bandwidth, channel separation (in nm), and the impairments peculiar to light systems and the WDM techniques used. As mentioned, the number of WDM channels that can be accommodated depends on the bandwidth available and the channel spacing among other parameters and characteristics. For example, in the 1330-nm band with about 80 nm bandwidth avail-



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Replicating a table or fragment can improve the availability, reliability, and resiliency of our data (as discussed in 2) and can greatly improve the performance of our system (especially with respect to query optimization as discussed in 4). Unfortunately, environments with replication also have more complicated modi cation issues. This chapter discusses the effect of replication in a distributed database management system. We focus on replication control, which is the techniques we use to ensure mutual consistency and synchronization across all replicated tables and table fragments. Controlling replication is an issue speci c to distributed database management systems. There are many alternatives to controlling replication in a DDBMS environment, which we categorize as asynchronous or synchronous replication control algorithms. We discuss the Unanimous, Primary-Copy, Distributed, Voting-Based, Quorum-Based, and Token-Passing-Based replication control algorithms.





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The distinction between synchronization client and server allows simple and lightweight implementation on the client and moves all the complex operation to the server. Although the implementation is simple, it still provides a fully functional synchronization solution for low-end as well as high-end mobile devices. Protocol speci cation requires the client to send its modi cations rst and be able to receive any responses to those modi cations from the server. Also, the client must be able to handle any changes made on the server side. The requirement of the client sending the modi cation rst addresses the mobile device constraints by moving the synchronization analysis to the server side. Synchronization analysis is the process of comparing the changes made on the client side with those made on the server for the same item. Any con icts that may happen if the same item is modi ed on both client and server sides will be detected and possibly resolved during the synchronization analysis process. This is a complex operation, and in most cases clients with their resource constraints simply cannot handle it. Different Phases in a Synchronization Session

10.3 10.3.1

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Biological aerosols may also have a considerable in uence in the mass size distribution. Recent work in Mainz indicated that biological aerosols can constitute close to 30% of the total aerosol mass [40]. These results are valid for an urban/rural-in uenced region. Results from

Rather interestingly, the return does not depend on the actual sequence. This is like the AEP in that the return is the same for all sequences. All sequences are typical in this sense. 6.4 THE ENTROPY OF ENGLISH

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Theorem 17.4.2 (Theorem 11.1.2) If X1 , X2 , . . . , Xn are drawn i.i.d. according to Q(x), the probability of x n depends only on its type and is given by Qn (x n ) = 2 n(H (Px n )+D(Px n ||Q)) . Theorem 17.4.3 type P Pn , (Theorem 11.1.3: Size of a type class T (P )) 1 2nH (P ) |T (P )| 2nH (P ) . |X | (n + 1) (17.38) For any

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Year Ending December 31, 0007 Sales Revenue $ 665,700 605,100 723,300 247,800 365,400 $2,607,300 Guests 36,210 78,200 50,780 17,110 35,490 217,790 Average Check $18.38 7.74 14.24 14.48 10.30 $11.97 Average Cost $ 4.70 4.19 0.52 0.96 $10.38 $ 1.60

Armstrong, L E, & VanHeest, J L (2002) The unknown mechanism of the overtraining syndrome: Clues from depression and psychoneuroimmunology Sports Medicine, 32, 185 209 Aspinwall, L G, & Staudinger, U M (Eds) (2003) A psychology of human strengths: Fundamental questions and future directions for a positive psychology Washington, DC: American Psychological Association Atlantis, E, Chow, C M, Kirby, A, & Singh, M F (2004) An effective exercise-based intervention for improving mental health and quality of life measures: A randomized controlled trial Preventive Medicine, 39, 424 434 Baekeland, F (1970) Exercise deprivation: Sleep and psychological reactions Archives of General Psychiatry, 22, 365 369 Bamber, D, Cockerill, I M, & Carroll, D (2000) The pathological status of exercise dependence British Journal of Sports Medicine, 34, 125 132 Bartholomew, J B, Morrison, D, & Ciccolo, J T (2005).

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