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Also known as combination functional-chronological or hybrid r sum s, a functional r sum puts your content in a slightly different arrangement to downplay your employment history and play up your achievements and transferable skills. The main difference with a functional r sum is that instead of going from Qualifications Summary to Professional Experience, you include an achievements section. Then your job listings in the Professional Experience section include either nothing more than employer name, titles, and dates, or that basic information plus the Job Context Snapshot. You might also move the education section higher in the r sum if it helps build your case better than your work history. Functional r sum s work well when you are changing career fields, have a checkered work history with gaps in employment or short-term assignments, or have held basically the same jobs over a long period of time. You ll find two examples of functional r sum s in the Sample r sum s section of the Appendix.

so for a lossless line in which = j LC = j Z (z = l) = L C and from Equation 3.34a, V ( z = l ) = Likewise, Z ( z = 0) = Z0 Z L + jZ 0 tan l Z 0 + jZ L tan l ( 50 + j100 ) + j 50 ( 1.7336 ) = 10.8 e j (0.622) = 50 50 + j ( 50 + j100 ) ( 1.7336 ) Z L Z 0 ( 50 + j100 ) ( 50 ) = = 0.5 + 0.5 j = 0.707e j 0.785. Z L + Z 0 ( 50 + j100 ) + ( 50 ) Z L + j L C tan LC 0 = Z L = 50 + j100 L C + jZ L tan LC 0

When the expected results match the actual results, the step is said to have passed the test. When the expected results do not match the actual results, the step is said to have failed the test and further diagnostic analysis is required. There are at least two possible causes of a failed step: the expected results are incorrect or the actual results are incorrect. Incorrect expected results can come from several sources starting with the tester s incorrect understanding of what the expected results should be and continuing to the developer s incorrect understanding of what the expected results should be to the business expert s incorrect understanding of what the expected results should be. If the tester, the developer, and the business expert all agree on the expected results, then the failed step has revealed a software defect. Who, when, and how the software defect is corrected is one of the topics in 12. 5.3.2.2 Validate Test Case Step Actions

Declare what input values enable the state transition; what values are used, consumed, and transformed; and what values are output (think of a procedure or function call that passes arguments of specific types and values and returns results of specific types and values). Performs other tasks called side effects, or arbitrary other things that are not directly functions of the input.

can be found. The effective power reflectivity, REff , experienced by the field circulating around the cavity is given by: REff f = R1 RFDMax A f = R1 RFDMax

The research on metadata and ontologies belongs to the area of knowledge representation and arti cial intelligence. Books such as [62 67] can be used for a background study. To test work on the Semantic Grid, we suggest you start with RDF because it is the foundation of the Semantic Web and also the Semantic Grid. To test work on autonomic computing, we recommend that you start with software agent programming because agents are normally involved in the development of autonomic systems.