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In the organizational literature, it is common to distinguish between different types of knowledge along two axes: tacit and explicit knowledge, as discussed in the previous section; and group and individual knowledge. Clearly, knowledge management is concerned with the sharing of knowledge and hence the transfer of individual knowledge to group knowledge. This much is uncontentious but the means by which this may be achieved is less so. Nonaka (1994) is typical of much of the literature when he says While tacit knowledge held by individuals may lie at the heart of the knowledge creating process, realising the practical bene ts of that knowledge centres on its externalization , where by externalization is meant the conversion of tacit knowledge to explicit. Therefore, Nonaka is keen to attempt facilitation of this conversion process. However, as we have discussed above, we view tacit knowledge as essentially of a different type from explicit knowledge. It follows from this that tacit knowledge cannot necessarily be externalized . Space does not permit a full

In order to maximize power transportation without phase shift from the source to the load, the impedance conjugate matching condition must be satis ed. Therefore, an impedance matching network must be inserted between the source and the load. As shown in Figure 9.8, the input impedance of the impedance matching network * must be equal to ZS and the output impedance of the impedance matching network * must be equal to ZL , that is, * Zin = ZS , * Zout = ZL . (9.79) (9.80)

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NTFS creates a hierarchy of folders in a volume, all starting from a root folder. Earlier versions of NTFS could store only a single folder hierarchy on a single hard drive or volume, maintained on a single computer. As described in 14, the folder hierarchy (or folder namespace) can traverse or span hard-disk volumes on any computer on the network. To keep things simple, this chapter discusses folders and les independently of where they may be located on the network.

So how should one explore statistical data That s easy, because there was an undisputed master of the subject. In 1977 John W. Tukey (1915 2000) published Exploratory Data Analysis, a book on interpreting statistical data.3 Tukey was the author of many enduring Mindles, including the Box Plot, Stem and Leaf diagram, and even the words bit and software. Today, powerful visualization software continues in the Tukey tradition. When Daniel Zweidler generated a new scenario library

This feature uses a 3D sketch point where you made the selection in Step 1. You cannot dimension this point while setting up the feature, only by creating the feature and then going back and editing the 3D sketch absorbed under the feature. This is also the arrangement with the Lip/Groove. Remember that you cannot dimension 3D sketches the same way that you dimension 2D sketches. You may need to dimension to planes rather than edges or points to get the dimensions you really intend. The Snap Hook Groove PropertyManager interface is shown in Figure 32.4, along with a cross section of a finished Snap Hook and a Snap Hook Groove. To use the Snap Hook Groove feature, you must have already created a Snap Hook feature. The interface seems to imply that it requires the body the groove goes into to be in the same part as the body of the hook feature, but this is not the case. You can create this feature in-context between a part with a hook and the part to receive the groove.

The forward-channel user data stream is turbo-encoded, then scrambled with a PN sequence unique to each user The data rate going to each user is adjusted by repetition of the channel-coded bits, lower rates using higher repetition factors Code puncturing is also used to adjust some of the data rates The coded data stream is block interleaved, then modulated using QPSK, 8-PSK, or 16-QAM, depending on the data rate, as indicated in Table 153 The resulting modulated data sequence has a chip rate of 12288 Mc/s, regardless of the data rate The in-phase and quadrature channels are then time-demultiplexed into 16 separate streams, each running at 768 kc/s, each of which is covered by a 16-chip Walsh code sequence The 16 Walsh-coded streams are then summed and spread by quadrature PN sequences, bandlimited, and upconverted.

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