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A matching network for an electrically small antenna or for a superdirective array must cancel the large reactance and must transform the small radiation plus loss resistance to the nominal value, usually 50 ohms. Generally each element of an array will require a different matching network, although symmetric (broadside) arrays need fewer. If the matching network is composed of discrete L and C components, the low-R, high-X requirements will produce very large circulating currents in the overall circuit, consisting of the array element, the matching network, and the generator. These circulating currents will magnify the intrinsic loss to a much larger realized loss. Similarly, a distributed matching network under low-R, high-X conditions will have very large standing waves along the stubs and transformer sections. Again the intrinsic loss is magni ed. In both cases the larger loss is due to power being proportional to voltage (or current) squared; the circulating currents or standing waves are large. A transmission line transformer is typical. Let the matched loss be L and the antenna voltage standing wave ratio be VSWR. Then the actual loss L a is (Moreno, 1948): La = (VSWR + 1)2 L2 (VSWR 1)2 4 L VSWR VSWR ( L2 1) 4L (2.42)

1:11:8

The equality involving the function cen is immediate. The last equality can be easily translated into |Q||W| cQ cW |Q| + |W| =

Web, was the result of some provocative investigative reporting Fritz obtained his information under the Freedom of Information Act from our federal oversight agency, the Commodity Futures Trading Commission Here is what he reported: Independent traders at the Chicago Mercantile Exchange have long complained that powerful oor brokerage groups have too much clout and control of the action of the futures mart Merc leaders downplay the criticism, insisting the exchange does a good job of ensuring a level playing eld between independent traders and broker-groups But the Merc s position may resemble the fox guarding the hen-house.

(Estimated) conditional probability of the attribute value ci given that p N attribute A has the value aj , that is, pi|j = pij = Nij . .j .j

Funding institutions: to achieve a better understanding of the eld of COs and its potential as a topic that can be included in upcoming framework programs or other nancing instruments 62 Methodology and structure Figure 61 gives an overview of the different parts of the roadmap and of the relationship between its components The boxes represent main topics discussed in the roadmap that can usually be found in different chapters or sections within a chapter The arrows represent inputs and preliminary information that has been used in the process of writing the corresponding sections The gure has been coded using the following convention: boxes with a thick dashed border represent chapters that have been obtained from other work packages during the execution of the Embedded WiSeNts project The detailed information can be obtained from the project website (http://wwwembedded-wisentsorg/).

SOFTWARE AS AN INDUSTRY During the mid-1970s, the software industry came into its own. In part this was due to the development of more capability for cross-platform applications with the standardization of 3GLs (structured programming allowed largerscale software systems based on existing speci cations), and in part it was due to the shift into business applications; but by far the most important factor was the introduction and remarkable early success of the personal computer, which led to the founding of PC software rms such as Microsoft and Software Arts. In 1975, Bill Gates and Paul Allen developed Basic for the Altair 8800 and created their software company, Microsoft. By 1977, Apple was enjoying great success with the Apple II, and the company Software Arts developed the rst spreadsheet program, VisiCalc. This demonstrated that the personal computer could do much more than serve as a videogame machine, and it set the stage for a spectacular expansion of the software industry to meet an almost insatiable and growing demand. By the 1980s, the methods of object-oriented programming began to have a major impact by making it easier to modify software to adapt to changes in needed functionality. Typical applications at this time were desktop publishing, spreadsheets, and other productivity-enhancing applications that were based on user-initiated mouse clicks or menu selections as well as keyboard input. In addition to the packaged software business, the 1970s and 1980s saw the contract programming industry continue to grow at a rapid pace. These businesses provided what was known as professional services. They often provided various services in the areas of consulting, analysis, and design, in addition to programming. Considerable effort was applied to improve productivity in software development.