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The syndrome vector components are s1 = r ( ) = + = 0 s2 = r ( 2 ) = 3 + 5 = 6 s3 = r ( 3 ) = 5 + 2 = 4 s4 = r ( 4 ) = 1 + 6 = 4 The syndrome polynomial is then S(X ) = 6 X + 4 X 2 + 4 X 3 The Euclidean algorithm is applied using Table 5.2. If the degree of the polynomial in the column ri (X ) is less than the degree of the polynomial in the column ti (X ), then the recursion is halted. It also happens that 4 X is a factor of 3 X 2 + 2 X . Then W1 (X ) = 4 X 1 (X ) = 4 X 2 + 3 X + 5 The polynomial so obtained, 1 (X ), is multiplied by an element of the Galois eld GF(23 ) in order to convert it into a monic polynomial. This value of is = 3 . Then W (X ) = W1 (X ) = 3 4 X = X and (X ) = 1 (X ) = 3 4 X 2 + 3 X + 5 = X 2 + 6 X + The Chien search [5] (as described in 4) is then used to determine the roots of this error-location polynomial. These roots are found to be 3 and 5 . Therefore, 3 = j1 = 4 j1 = 4 and 5 = j2 = 2 j2 = 2

satisfy this manager s requirements, we need to combine information that is stored in two different DBEs, controlled by two different types of DBMS We could choose from two approaches when we attempt to satisfy this manager s requirements: a manual approach and an automated approach In the manual approach, we would log into each individual server, write some queries to get the information out of each DB, transfer results from each DB to our personal workstation, and then write a program that merges all the information into the nal report format This is a time-consuming process that requires someone familiar with each hardware platform, each DBE, the communications facilities needed to log into the systems and transfer the les, and the utilities or programming skills needed to fetch the information from each system and to merge the les into the nal result.

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Ratios are used to help a business entity evaluate financial and economic results of profit-oriented operations over a given accounting period. A ratio standing alone is simply a number and appears to have little value, in that the ratio does not directly show favorable or unfavorable results. For example, a restaurant s food inventory turnover of four times per month may appear good, but until the turnover ratio is compared with some standard, such as the average turnover ratio in the restaurant industry for that type of restaurant, its true value cannot be determined. For a ratio to have meaning, it must be comparable to a standard or an established base ratio. A standard ratio could be an industry average, but such a standard ratio may be the least valuable. Industry standards are generally developed through information received from hospitality organizations having the same type of activities; however, such establishments may be spread over a large geographic area. Different operating conditions prevail in different locations within the geographical area (e.g., average family income, salaries, hourly pay rates, and cost of living levels, and disposable income). As a result of such economic variances across a geographical area, there may not be one operation that is just like the average operation from which the standard ratios are determined. Industry averages are good for telling a manager if the operation is in the ballpark with the industry but should not be used as the operation s standard.

Thus, the compensation model in IWFQ does not support graceful degradation of service Additionally, insync flows will be starved of service when compensation is granted to lagging flows Thus, in the short term, a flow may not receive any service even if it has a clean channel and has not received any excess service 842 Wireless Packet Scheduling (WPS) WPS was proposed as a more practical version of IWFQ in [10] The error-free service of WPS uses a variant of weighted round robin and WFQ, and is called WRR with spreading To illustrate this mechanism, consider three flows f1, f2, and f3 with weights of 2, 3, and 5, respectively.

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