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A second step to improve accuracy at the cost of sampling rate is to apply feedback techniques. These methods allow shifting the quantization energy out of desired signal frequency ranges. Figure 11.18 shows the basic principle of EA modulation. 3 6-3 8 The feedback loop, with an integration (E) and a comparator function (A), shapes the noise energy (symbolized by "white" noise entering into the dashed summing point) from a flat spectrum into a shape that is the complement of the loop filter H(co). When the quantizer's effective gain is modeled as Aq, the input-output relation becomes -1 AqH(o0) out(a)Ou~o1 -I-AqH(cO) In(co) + I

ships and the flow of information and opinion. It was a ritual of cross-pollination between the various cultures that met regularly at the crossroads or port towns that naturally became centers of commerce. People working within groups and organizations participate in similar rituals today, of course. However, there is wide variation in the extent to which leadership sanctions, allows, or encourages the creation and oral sharing of lore, myth, tales, or anything that is not accountable as official business. The Internet has become the virtual crossroads where different cultures intersect and interact. Within the organization, these cultural crossroads also exist, but by restricting social exchange and marketplace conversation, management policy may stunt the growth and vitality of its organizational culture.

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It is not unusual for chart data to change from time to time. You can edit chart data so that you can keep the chart up to date with the most recent information. If you decide not to include all of the data in the data table, you can select data manually so your chart only reflects the data you choose.

cannot really be called an ontology yet, but would rather be a useful basis for a subsequent manual development into a fully edged ontology As we have not been able to add the manual step, due to the reasons mentioned above, we use the term lightweight ontology for the resulting structure In fact, it is an associative semantic network, which despite its simplicity, is the basis of a very useful application Clearly, a disadvantage of the automatic approach using a tool like OntoExtract is the small variety of relation types as compared to a manual development process OntoExtract is currently not able to extract a concept hierarchy with class/sub-class relations, which is the basic relationship between concepts However, as there are multi-word terms among the concepts extracted by OntoExtract, sub-class relations can be inferred on a syntactical basis via a sub-string match.

When the literature is examined in terms of how work groups achieve collective agency and mastery, one nds a large body of work (Chaiklin and Lave, 1993; Engestrom, 1987; Hutchins, 1991; Star, 1996; Suchman, 1987) dealing with the relationship between pragmatic activity and social processes, and highlighting how mastery is achieved through people s ability to cooperate and co-construct their workplaces in situations of high interactive complexity Nevertheless, the focus on collective self-regulation emphasizes one aspect of power while usually failing to address its broader societal aspect.

where N1 and N2 are the densities of the competing species. 12 describes the fraction of species 1 converted into species 2. This is known as the competition coef cient and is generalized to interactions between species i and j as ij. r is the intrinsic rate of change for a given species and K1 and K2 are the carrying capacities of species 1 and 2 in isolation. Note that equation 6.10 could also be written as: d N1 dt = r1N1(( K1 ( N1 + 12 N 2 )) K1 As 12 is the fraction of species 1 converted to species 2 then N1 + 12N2 is effectively the density of N1, replacing N1 in the ordinary logistic equation ( 5). Investigation of stability with the phase plane begins, as with the predator prey system, with the zero-growth isoclines (dN1/dt = 0 and dN2/ dt = 0). We will go through this more rapidly than the predator prey example as many of the principles are the same. If we take the example of Tribolium and Oryzaephilus we nd the values of K1, K2 and N1* and N2* (the equilibrium

For example, baby bond and zero-coupon bond can thereby be identi ed as specializations of the single-word term bond (Of course, such heuristics need to be used with care: software agent and estate agent would not be considered as sub-classes of the same class in most ontologies, for example) The relations extracted by OntoExtract are weighted and take a value between 0 and 1, where 1 is the strongest relationship and 0 is no relationship at all Table 121 shows an example of related concepts as generated by OntoExtract The concept account has 48 relations to other concepts, but only a few are depicted here A relation describes a semantic closeness between two concepts, for example, account and asset which are strongly related in the CARM document.

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