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Purpose Inherited Values Default Used In Shorthand method for pause properties No See values for pause-before and pause-after See individual properties All elements
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Ending Inventory $342,300 309,600 319,900 319,900 326,910 319,910 316,910 $316,910
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Modelling Methods for Energy in Buildings
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Step Seven: Improve the Community s Benefits
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establish a habit of cooperation before dealing with dif cult territorial matters. The business analyst continues: We are almost there! Let s examine the need to improve access to legal data. If this need is going to be ful lled, what subsidiary needs should be addressed After some discussion and the highlighting of a handful of items, the team focuses on three: (1) select an appropriate legal database, (2) select an appropriate hardware platform, and (3) select an appropriate software platform. The same process is applied to Improve ef ciency of report production and Improve maintenance of of ce records, but those results are not reported here. What do we gain by employing the needs hierarchy process There are several answers to this question. First, because we employ a crossfunctional team to de ne the needs, we have some assurance that we are re ecting the views of key stakeholders. No one can accuse us of ignoring them. Furthermore, because they participated in de ning the needs, we should have some measure of buy-in from them. Second, because the process is deliberate and disciplined, we can avoid the common pitfall of jumping to solutions. As noted earlier, by the end of the process, the solutions we hint at are clearly derived from more abstract needs that we have identi ed. Third, by using this process, we minimize territorial struggles. The technique is geared to getting people to de ne their needs in a collaborative way. Once the needs elicitation session is ended, the business analyst writes up her ndings. Ultimately, these ndings will be forwarded to senior management, and if approved, they will be delivered to a technical group that will use them to develop functional and detailed requirements. In her report, she describes the overall discovery process so that senior management and the technical folks have a deep understanding of the context in which the de ned needs emerged.
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Before you can set up yourself as an administrator, Contribute compatibility must be enabled as described in the previous section, and you must have a network connection.
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Now suppose that the sequence s = [sl, s2, . . . ,s,] is transmitted over a BSC and that the received sequence is R = [q, . . . , r,]. Because of independent noise samples, the r2, likelihood function factors,
The maximum a posteriori (MAP) decoding algorithm suitable for estimatingbit and/or state probabilitiesfor a finite-stateMarkov system is frequently referred to as the BCJR algorithm, after Bahl, Cock, Jelenik, and Raviv who proposedit originallyin [111. The BCJR algorithm computes the posterior probability of symbols from Markov sources transmitted through discrete memoryless channels. Since the output of a convolutional coder passed through a memoryless channel (such as an AWGN channel or a BSC) forms a Markov source, the BCJR algorithm can be used for maximum aposteriori probabilitydecoding of convolutional codes. In many respects, the BCJR algorithm is similar to the Viterbi algorithm. However, the Viterbi algorithm computes hard decisions -even if it is employing soft branch metrics -since a single path is selected to each state at each time. This result in an overall decision on an entire sequence of bits (or codeword) at the end of the algorithm, and there is no way of determining the reliability of the decoder decisions on the individual bits. Furthermore, the branch metric is based upon log likelihood values; no prior information is incorporated into the decoding process. The BCJR algorithm, on the other hand, computes soft outputs in the form of posterior probabilities for each of the message bits. While the Viterbi algorithm produces the maximum likelihood message sequence (or codeword), given the observed data, the BCJR algorithm produces the a posteriori most likely sequence of message bits, given the observeddata. (Interestingly, the sequenceof bits produced by the MAP algorithm may not actually correspond to a continuous path through the trellis.) In terms of actual performance on convolutionalcodes, the distinction between the Viterbi algorithm and the BCJR algorithm is frequently insignificant,since the performance of the BCJR algorithm is usually comparable to that of the Viterbi algorithmand any incrementalimprovementoffered by the BCJR algorithm is offset by its higher computational complexity. However, there are instances where the probabilities produced by the BCJR are important. For example, the probabilities can be used to estimate the reliability of a decisions about the bits. This capability is exploited in the decoding algorithms of turbo codes. As a result, the BCJR algorithm lies at the heart of most turbo decoding algorithms. We first express the decoding algorithmin terms of probabilitiesthen,in Section 14.3.12, we present analogous results for likelihood ratio decoding. The probabilistic description is more general, being applicable to the case of nonbinary alphabets. However, it also requires particular care with normalization. Furthermore, there are approximationsthat can be made in association with the likelihoodratio formulationthat can reduce the computationalburden somewhat.
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accredited laboratory can grasp the primary technical needs of the client: quantities, scope of measurement and uncertainties. Furthermore, the investment required for launching an accredited laboratory excludes the transitory type of company that starts up in commercial niches and then vanishes as quickly as it has appeared. Stability is a key word in metrology. It is important not to change your provider too regularly when you decide to subcontract the calibrations; for example, do not consider only the price and have a yearly competition. Nevertheless, let us point out that what has been said so far applies to movable measurement, control, test or analysis instruments. In the case of equipment such as heavy machinery (traction, compression, hardness, etc.), scales, air conditioning chambers, etc., the verification can only be done on-site. It is not necessary for the provider to have their own laboratory since the whole intervention is carried out onsite. However, the provider must use working standards which are related to the calibration chains.
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