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where n is an integer indicating the harmonic order, 2 = 2 + 2 , and K is the de ection parameter given by K = 93.4 u (m)B0 (T) with B0 being the peak magnetic eld. When the magnetic eld in a planar undulator is not very high and the maximum de ection angle of electrons is of the order of 1/ , for which K is around one, quasi-monochromatic light with high brilliance can be obtained. The fractional bandwidth of the nth harmonic peak is given by / 1/nN , where N is the number of periods. To calculate the wavelength for a helical undulator, the second term K 2 /2 in the parentheses of Equation (2.2.1) should be replaced with K 2 . Light from a planar undulator is linearly polarized, while that from a helical undulator is circularly polarized. If the electron energy is xed, the de ection parameter has to be varied to change peak wavelengths. For an undulator made with
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individual projects. With real-world problems, it is not as easy as rolling dice, and there is no guarantee that a credible scenario library can be generated at all. But today there are hundreds of industries where simulation packages such as @Risk, Crystal Ball, XLSim, and Risk Solver are already in regular use by thousands of skilled analysts. Currently the scenarios they generate are used to calculate some numbers and graphs, then vanish from their computer s memories. With a bit of coordination by a good CPO, some of them could be stored in libraries and put to good use in creating enterprisewide models of uncertainty and risk.
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10.3.5.7 Higher Layer Protocols and Functions These relate to the speci cs of the user Protocol Data Unit (PDU), such as an SDLC frame or Frame Relay frame:
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A volume manager can be said to be converting I/ requests into I/ requests for the O O underlying devices. Some terms that we use in describing volume managers, therefore, deal with the underlying hardware, while others deal with the virtual layer through which I/ requests are funneled. Figure 11.1 illustrates this concept. O Following is a list of volume management terminology: Volume. One of the most important terms used in volume management is, of course, the term volume. A volume is a virtual disk. In other words, it is the unit of storage in a volume management system that is used as if it were a physical disk. Sometimes referred to as a metadevice, a volume not only behaves as a disk, but is used as if it were a disk by applications and by file systems. Below the surface, a volume is a group of plexes (a term defined later in this list). These plexes may be striped or mirrored. Volume manager. A tool or set of tools that enable you to create and manage volumes created from your physical disks. Volume managers can be thought of as introducing a layer between the files systems and the physical disks. Slices and partitions. These terms both refer to portions of physical disks, but are subsumed into volumes. Other terms that relate to the physical disks are sectors, blocks, tracks, cylinders, and LUNs (logical unit numbers). When these terms are used, you know people are talking about the physical disks and not volume management. Subdisk. A portion of a disk that is managed by the volume manager. Unlike a partition, a subdisk does not, therefore, relate to the underlying physical partitions on the disk. Soft partition. A subdivision of a partition, generally used to provide smaller, more manageable storage units for certain operations. Transactional volume. Used to provide logging for UFS file systems when logging is enabled.
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Notice how on the Contact-only model, the Zebra Stripe lines do not line up across the edge. On the Tangent example, the stripes line up across the edges, but the stripes themselves are not smooth. On the Curvature Continuous example, the stripes are smooth across the edges. The part shown in Figure 11.17 is a surface model, and can be found on the CD-ROM with the filename 11 Zebra Stripes.sldprt.
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This tutorial is intended to familiarize you with many of the view types, settings, and options that are involved in creating views. To begin, follow these steps:
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As was briefly mentioned in the section on poly depletion (Section 10.2.11), boron penetration is a major issue for dual-gate CMOS, 62 because SiO 2 is a poor diffusion barrier for boron. Boron penetration will create many undesirable effects, such as shift VTp, degrade p-MOS subthreshold swing, decrease hole mobility, increase oxide early failures and positive charge trapping, 72,73 and reduce p-MOS drive current. 18,73 Moreover, as CMOS technology scales, the boron penetration problem will become worse. This is because in order to maintain a certain acceptable level of p+ poly depletion, higher boron concentration at the poly/gate oxide interface is needed as tox continues to scale; 2 but a thinner tox has lower resistance to boron penetration. 74 How to improve the gale oxide so that it can block boron diffusion and enhance p-MOS performance has been a major challenge for gate oxide engineers for many years. Nitrogen-doped Si0 2 (or nitrided omide) has been studied for a long time as a replacement for pure SiO 2 ,76- 81 partially because it is known to be a better boron diffusion barrier than pure Si0 2. In addition, the nitrided oxide also has characteristics that are beneficial to a high-performance CMOS logic technology: (1) higher resistance to channel-hot-ca]rier-induced degradation, (2) higher resistance to Fowler-Nordheim (FN) tunneling-induced interface trap generation, (3) lower FN stress-induced leakage current, (4) better charge trapping characteristics, and (5) better radiation hardness. The only common drawbacks of using nitrided oxide for logic CMOS are that hole mobility and low-field electron mobility are
Companies tend to use XML to represent more and more internal documents. One of the main bene ts of using XML is the possibility of automatic processing of XML documents according to their conceptual models represented with document DTDs or XML schemas. The documents may contain knowledge-level annotations represented in RDF according to a certain ontology encoded in RDF Schema. These annotations may be used to answer knowledge-level user s queries and to perform document search and retrieval based on the results of processing the annotations and ontologies. Query results may themselves be represented as XML documents to be further automatically processed. This knowledge management task requires performing a sequence of transformations of the concepts represented in the documents illustrated in Figure 4.1.
Maps navigation works like other Windows Phone apps. You can scroll around by flicking the screen and zoom in and out by pinching the screen.
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