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The test engineers have determined that they would be willing to pay $10,000 to move from a test site providing a poor version of the test condition to a test site providing a good version of the test condition. Which site should we choose Remember the rental cost of each site. What is the value of perfect information on the weather 13.9 Now we are going to take Problem 13.8 and increase the modeling complexity by de ning three different test conditions that must be reproduced by the test site. We call these test conditions X, Y, and Z. We rst generate descriptions of good and poor for each test condition. Then we ask the wizard to help us elicit the values for having good versus poor representations of the three test conditions. We respond that having a poor representation of each test condition is worth no money to us. Test condition X is the most important for obtaining a good representation and we would pay $10,000. Similarly, we would pay $5000 to obtain a good representation of Y and $1667 to obtain a good representation of Z. If we were using multiattribute value theory, what would our swing weights be for these three test conditions

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a network with a few high-speed vehicles and a lot of pedestrians along the road is highly mobile (Khan et al, 2008) Broadcasting protocols for static networks have been discussed in previous sections Since the maintenance of neighbor knowledge is expensive or even impossible in mobile networks, blind ooding can still be applied in moderately mobile networks However, it may not suf ce in networks with temporary partitions and high mobility This is due to the fact that each node in the network retransmits the broadcasting message only once and stops retransmission even if it discovers a new neighbor afterwards Hyper- ooding, proposed by Viswanath and Obraczka (2002), addresses such scenarios In hyper- ooding, a node will retransmit the broadcasting message whenever it discovers a new neighbor Thus, it is able to disseminate messages across partitions when nodes move during broadcasting.

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duction of a qualifying asset, they should be capitalized as part of the cost of the asset. All other borrowing costs should be expensed as incurred. The revised standard is effective for annual periods beginning on or after January 1, 2009. Early application is permitted but retrospective application is not permitted. These revisions to IAS 23 have been made as part of the IASB s efforts to converge with US GAAP. By amending IAS 23 and removing the option to expense borrowing costs relating to qualifying assets, the principal difference between IAS 23 and SFAS 34 (US GAAP) has been eliminated. 7. BORROWINGS ELIGIBLE FOR CAPITALIZATION 7.1 When borrowings are taken specifically to acquire, construct, or produce an asset, the borrowing costs that relate to that particular qualifying asset are readily identifiable. In such circumstances, it is easy to quantify the borrowing costs that would need to be capitalized by using the process of elimination, that is, capitalizing the borrowing costs that would have been avoided had the expenditure on the qualifying asset not been made. 7.2 Difficulties arise, however, if borrowings and funding are organized centrally, say, within a group of companies. In such cases, a weighted-average capitalization rate may be applied to the expenditures on the qualifying asset. 7.3 When funds borrowed specifically to finance a qualifying asset are not utilized immediately, and instead the idle funds are invested temporarily until required, the borrowing costs that are capitalized should be reduced by any investment income resulting from the investment of idle funds. 7.4 Borrowing costs capitalized in a period cannot exceed the amount of borrowing costs incurred by the entity during that period.

Caution You need to be a bit careful about using the vendor identity to determine what's available. Vendors might change the vendor information that they supply, or might change the availability of extensions in future versions. Moreover, other vendors may support the same extension without you being 364

It increases reliability at the cost of a high message overhead An adaptive approach was proposed in Viswanath and Obraczka (2002) for both static and mobile networks, based on using some thresholds It has been pointed out in Khan et al (2008) that the threshold is based on the parameters for mobility and traf c which may be dif cult or impossible to gather Khan et al (2008) studied broadcasting without parameters in static to highly mobile networks It is suitable for applications in delay tolerant-networks The proposed protocol, PBSM (parameterless broadcasting from static to mobile), assumes that each node has the two-hop topological knowledge The goal of the protocol is to adapt itself to any static/mobility scenario automatically without calculating any threshold kind of parameter The protocol combines CDS technique and the neighbor elimination concept.

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