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5.2.1 Store Cells in Logical Queues Instead of using P FIFOs to store cells addresses according to their priority levels w27x, the architecture shown in Figure 5.2 uses two small memories having P entries for each. Each entry has both head and tail pointers HP and TP. indicating the starting and ending addresses of a logical queue. The logical queue is stored in the cell pool and is associated with its priority level. Here, instead of storing each cell s address in the FIFOs, two addresses are stored for every logical queue, which results in a big memory saving. Every cell in the pool is attached with a pointer to point to the next cell that is linked in the same queue, as shown in Figure 5.3. A similar approach for implementing a priority queue that can handle only a small number of priority levels is presented in w21x. When a cell arrives, it is added to a logical queue based on its priority level. As shown in Figure 5.3 b., the cell s priority field is extracted first and used as an address to read out the TP from the TP memory e.g., A l .. The TP is then used as a writing address for the cell to be written into the pool. In the meantime, an idle address e.g., A m . attached to the cell is written

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Net is a library for developers to convert PDF to Word, RTF, DOC and Text . Allows to extract text and graphics from PDF . Can be used in any .Net application : C#  ...

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PersonId FirstName Person MiddleName LastName Street City State Zip CustomerId Balance Customer IsA

And there is more. This list is merely a sampling of the complexities facing the programmer when setting off to load the data warehouse. In the early days of data warehouse, there was no choice but to build the programs that did the integration by hand. Programmers using COBOL, C, and other languages wrote these. But soon people noticed that these programs were tedious and repetitive. Furthermore, these programs required ongoing maintenance. Soon technology appeared that automated the process of integrating data from the operational environment, called extract/transform/load (ETL) software. The first ETL software was crude, but it quickly matured to the point where almost any transformation could be handled.

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Photons can interact with the baryons and electrons; for example, a high-energy photon can knock an electron out of an atom (a process known as ionization), or can scatter off a free electron (known as Thomson scattering in the non-relativistic case hf m e c 2 otherwise Compton scattering). The more energetic the photons are, the more devastating their effects on other particles.

where p is the momentum (mass velocity) of a moving particle such as an electron. We can use this relationship to compare the relative magnitude of the wave and particle natures of a tiny object such as an electron with a macroscopic object such as a golf ball (Example 3.1). This comparison shows that both objects have both wave and particle natures but that the particulate nature dominates the golf ball while the wave nature dominates the electron.

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