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It was the Greek civilization that rst conceived of an archive as a repository of data. It took them hundreds of years to nd and record enough information to warrant the construction of the earliest libraries. But by the third century BC, the ruler of Egypt, Ptolemy II, became the foremost patron of knowledge when he founded the great library of Alexandria, which contained over ve million books. Today the entire concept of collecting and storing information has been in uenced by the Internet and the World Wide Web. Hardly anyone has been left untouched, and even with the technology divide between the developed and developing parts of the world, the impact has been profound. As recently as the 1980s, few outside the academic world were even aware of the existence, much less the potential, of a global information network of networks. Speci cally, over the past forty years, the Internet has grown from a Cold War concept for responding to the unthinkable effects of a nuclear war, into the Information Superhighway. It started from a remarkable convergence of a few key ideas related to sharing repositories of data, and the concept of robustly connecting networks, communications, and computation capabilities as a defense against the threat of nuclear war. Suddenly scientists and academics became aware of the potential for reaching people and computers in a new way. ARPANET, precursor to the Internet, was born. In short order, a new burst of technology expansion was stimulated by the introduction of enhanced protocols for multimedia content, data transfer, and

high-bandwidth flows that do not require routing. Either it is technically impossible (for LAN-based Internet exchanges) or it yields unnecessary and costly overhead (for ATM- and MPLS-based Internet exchanges). Also, such exchanges provide no capabilities for external entities to implement and customize services dynamically.

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Table 2.8 House price increases, 1997 2006 (index 1997 100) Year 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 Standard Price 68 042 71 704 81 595 84 293 90 590 106 195 129 450 157 091 162 783 177 962 Index 100.0 105.4 119.9 123.9 133.1 156.1 190.3 230.9 239.2 261.5

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2.1 Energy, Power, and Their Measurements Table 2.1 Property Force creation Energy carrier Energy producer Energy consumer Energy levels Flow rate (current) Power Energy input Mechanical and Electric Circuit Analogy Mechanical circuit example Gravitational force of earth Bowling balls Machine pumping balls Water pump Height Flow rate of bowling balls Flow rate times height change Power times time Electric circuit example

C onsider a portfolio of securities that includes shares and bonds. If we want to calculate the revenue for the portfolio, we need to request execution of a dividend operation from every share object and the execution of an interest operation from every bond object. If these objects reside on different machines, they can be executed concurrently and the client obtains the results in the order they become available.

There are several different scenarios in which a real-time on-line expert system may be desirable Of course, there are the many fuzzy control systems; their huge success rst put fuzzy systems theory on the map Other real-time systems may involve watching the data as they come in and waiting for a signi cant event to happen or signi cant condition to occur This may involve asking for human intervention, as in alarm systems, or activation of another computer program to deal with the situation In any event, there are certain tasks that must almost always be performed The input data must be acquired from one or more of a variety of input devices; the data must be processed in a timely fashion; and output must be delivered to the real world The programmer must know how the processing program can be tested and debugged.

$ rpm -qa | grep kernel | sort $ rpm -qa | grep kernel | sort -r Sort in alphanumeric order Sort in reverse alphanumeric order

Figure 1.41 Effective permeability of hollow core, 0 = 200

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Program planning then begins with the input data to be acquired Processing algorithms must be de ned Processing speed must be estimated to see if speed requirements can be met Finally, the way in which output data will be presented to the outside world must be decided Fuzzy control systems nearly always run on-line in real-time If they are relatively simple, compared to more general-purpose data-driven fuzzy reasoning systems, they may be able to do this with few dif culties Data-driven expert production systems are much more exible and powerful than fuzzy control systems, but tend to run more slowly Examples of noncontrol on-line real-time applications include alarm detection systems and fault detection and diagnosis programs But now that personal computers are very much faster than in the past, this speed disadvantage is of less importance.

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