The 19th Century: First Programmable Computing Devices Until the 19th century "early computers", probably better described as calculating machines, were basically mechanical devices and operated by hand. Early calculators like the abacus worked with a system of sliding beads arranged on a rack and the centerpiece of Leibniz's multiplier was a stepped-drum gear design. Therefore Charles Babbage's proposal of the Difference Engine (1822), which would have (it was never completed) a stored program and should perform calculations and print the results automatically, was a major breakthrough, as it for the first time suggested the automation of computers. The construction of the Difference Engine, which should perform differential equations, was inspired by Babbage's idea to apply the ability of machines to the needs of mathematics. Machines, he noted, were best at performing tasks repeatedly without mistakes, while mathematics often required the simple repetition of steps. After working on the Difference Engine for ten years Babbage was inspired to build another machine, which he called Analytical Engine. Its invention was a major step towards the design of modern computers, as it was conceived the first general-purpose computer. Instrumental to the machine's design was his assistant, Augusta Ada King, Countess of Lovelace, the first female computer programmer. The second major breakthrough in the design of computing machines in the 19th century may be attributed to the American inventor Herman Hollerith. He was concerned with finding a faster way to compute the U.S. census, which in 1880 had taken nearly seven years. Therefore Hollerith invented a method, which used cards to store data information which he fed into a machine that compiled the results automatically. The punch cards not only served as a storage method and helped reduce computational errors, but furthermore significantly increased speed. Of extraordinary importance for the evolution of digital computers and artificial intelligence have furthermore been the contributions of the English mathematician and logician George Boole. In his postulates concerning the Laws of Thought (1854) he started to theorize about the true/false nature of binary numbers. His principles make up what today is known as Boolean algebra, the collection of logic concerning AND, OR, NOT operands, on which computer switching theory and procedures are grounded. Boole also assumed that the human mind works according to these laws, it performs logical operations that could be reasoned. Ninety years later Boole's principles were applied to circuits, the blueprint for electronic computers, by Claude Shannon.

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Introduction: The Substitution of Human Faculties with Technology: Artificial Intelligence and Expert Systems Research in artificial intelligence, starting in the 1960s, yet formulated a new goal: the automation of thought processes with intelligent machines. Although first attempts to develop "thinking" machines had only little success as the aimed at solving very general problems, the invention of expert systems marked a breakthrough. Albeit the application of those semi-intelligent systems is (still) restricted to quite narrow domains of performance, such as taxation and medical image interpretation, they are able to mimic the knowledge and reasoning capabilities of an expert in a particular discipline. While the development of intelligent machines, which are able to reason, to generalize and to learn from past experience is not likely to become reality in the very near future, research in artificial intelligence progresses quickly and sooner or later the substitution of men's unique faculties will come true.

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1940s - Early 1950s: First Generation Computers Probably the most important contributor concerning the theoretical basis for the digital computers that were developed in the 1940s was Alan Turing, an English mathematician and logician. In 1936 he created the Turing machine, which was originally conceived as a mathematical tool that could infallibly recognize undecidable propositions. Although he instead proved that there cannot exist any universal method of determination, Turing's machine represented an idealized mathematical model that reduced the logical structure of any computing device to its essentials. His basic scheme of an input/output device, memory, and central processing unit became the basis for all subsequent digital computers. The onset of the Second World War led to an increased funding for computer projects, which hastened technical progress, as governments sought to develop computers to exploit their potential strategic importance. By 1941 the German engineer Konrad Zuse had developed a computer, the Z3, to design airplanes and missiles. Two years later the British completed a secret code-breaking computer called Colossus to decode German messages and by 1944 the Harvard engineer Howard H. Aiken had produced an all-electronic calculator, whose purpose was to create ballistic charts for the U.S. Navy. Also spurred by the war the Electronic Numerical Integrator and Computer (ENIAC), a general-purpose computer, was produced by a partnership between the U.S. government and the University of Pennsylvania (1943). Consisting of 18.000 vacuum tubes, 70.000 resistors and 5 million soldered joints, the computer was such a massive piece of machinery (floor space: 1,000 square feet) that it consumed 160 kilowatts of electrical power, enough energy to dim lights in an entire section of a bigger town. Concepts in computer design that remained central to computer engineering for the next 40 years were developed by the Hungarian-American mathematician John von Neumann in the mid-1940s. By 1945 he created the Electronic Discrete Variable Automatic Computer (EDVAC) with a memory to hold both a stored program as well as data. The key element of the Neumann architecture was the central processing unit (CPU), which allowed all computer functions to be coordinated through a single source. One of the first commercially available computers to take advantage of the development of the CPU was the UNIVAC I (1951). Both the U.S. Census bureau and General Electric owned UNIVACs (Universal Automatic Computer). Characteristic for first generation computers was the fact, that instructions were made-to-order for the specific task for which the computer was to be used. Each computer had a different binary-coded program called a machine language that told it how to operate. Therefore computers were difficult to program and limited in versatility and speed. Another feature of early computers was that they used vacuum tubes and magnetic drums for storage.

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In Search of Reliable Internet Measurement Data Newspapers and magazines frequently report growth rates of Internet usage, number of users, hosts, and domains that seem to be beyond all expectations. Growth rates are expected to accelerate exponentially. However, Internet measurement data are anything thant reliable and often quite fantastic constructs, that are nevertheless jumped upon by many media and decision makers because the technical difficulties in measuring Internet growth or usage are make reliable measurement techniques impossible. Equally, predictions that the Internet is about to collapse lack any foundation whatsoever. The researchers at the Internet Performance Measurement and Analysis Project (IPMA) compiled a list of news items about Internet performance and statistics and a few responses to them by engineers. Size and Growth In fact, "today's Internet industry lacks any ability to evaluate trends, identity performance problems beyond the boundary of a single ISP (Internet service provider, M. S.), or prepare systematically for the growing expectations of its users. Historic or current data about traffic on the Internet infrastructure, maps depicting ... there is plenty of measurement occurring, albeit of questionable quality", says K. C. Claffy in his paper Internet measurement and data analysis: topology, workload, performance and routing statistics (http://www.caida.org/Papers/Nae/, Dec 6, 1999). Claffy is not an average researcher; he founded the well-known Cooperative Association for Internet Data Analysis (CAIDA). So his statement is a slap in the face of all market researchers stating otherwise. In a certain sense this is ridiculous, because since the inception of the ARPANet, the offspring of the Internet, network measurement was an important task. The very first ARPANet site was established at the University of California, Los Angeles, and intended to be the measurement site. There, Leonard Kleinrock further on worked on the development of measurement techniques used to monitor the performance of the ARPANet (cf. Michael and Ronda Hauben, Netizens: On the History and Impact of the Net). And in October 1991, in the name of the Internet Activities Board Vinton Cerf proposed guidelines for researchers considering measurement experiments on the Internet stated that the measurement of the Internet. This was due to two reasons. First, measurement would be critical for future development, evolution and deployment planning. Second, Internet-wide activities have the potential to interfere with normal operation and must be planned with care and made widely known beforehand. So what are the reasons for this inability to evaluate trends, identity performance problems beyond the boundary of a single ISP? First, in early 1995, almost simultaneously with the worldwide introduction of the World Wide Web, the transition of the stewardship role of the National Science Foundation over the Internet into a competitive industry (bluntly spoken: its privatization) left no framework for adequate tracking and monitoring of the Internet. The early ISPs were not very interested in gathering and analyzing network performance data, they were struggling to meet demands of their rapidly increasing customers. Secondly, we are just beginning to develop reliable tools for quality measurement and analysis of bandwidth or performance. CAIDA aims at developing such tools. "There are many estimates of the size and growth rate of the Internet that are either implausible, or inconsistent, or even clearly wrong", K. G. Coffman and Andrew, both members of different departments of AT & T Labs-Research, state something similar in their paper The Size and Growth Rate of the Internet, published in First Monday. There are some sources containing seemingly contradictory information on the size and growth rate of the Internet, but "there is no comprehensive source for information". They take a well-informed and refreshing look at efforts undertaken for measuring the Internet and dismantle several misunderstandings leading to incorrect measurements and estimations. Some measurements have such large error margins that you might better call them estimations, to say the least. This is partly due to the fact that data are not disclosed by every carrier and only fragmentarily available. What is measured and what methods are used? Many studies are devoted to the number of users; others look at the number of computers connected to the Internet or count IP addresses. Coffman and Odlyzko focus on the sizes of networks and the traffic they carry to answer questions about the size and the growth of the Internet. You get the clue of their focus when you bear in mind that the Internet is just one of many networks of networks; it is only a part of the universe of computer networks. Additionally, the Internet has public (unrestricted) and private (restricted) areas. Most studies consider only the public Internet, Coffman and Odlyzko consider the long-distance private line networks too: the corporate networks, the Intranets, because they are convinced (that means their assertion is put forward, but not accompanied by empirical data) that "the evolution of the Internet in the next few years is likely to be determined by those private networks, especially by the rate at which they are replaced by VPNs (Virtual Private Networks) running over the public Internet. Thus it is important to understand how large they are and how they behave." Coffman and Odlyzko check other estimates by considering the traffic generated by residential users accessing the Internet with a modem, traffic through public peering points (statistics for them are available through CAIDA and the National Laboratory for Applied Network Research), and calculating the bandwidth capacity for each of the major US providers of backbone services. They compare the public Internet to private line networks and offer interesting findings. The public Internet is currently far smaller, in both capacity and traffic, than the switched voice network (with an effective bandwidth of 75 Gbps at December 1997), but the private line networks are considerably larger in aggregate capacity than the Internet: about as large as the voice network in the U. S. (with an effective bandwidth of about 330 Gbps at December 1997), they carry less traffic. On the other hand, the growth rate of traffic on the public Internet, while lower than is often cited, is still about 100% per year, much higher than for traffic on other networks. Hence, if present growth trends continue, data traffic in the U. S. will overtake voice traffic around the year 2002 and will be dominated by the Internet. In the future, growth in Internet traffic will predominantly derive from people staying longer and from multimedia applications, because they consume more bandwidth, both are the reason for unanticipated amounts of data traffic. Hosts The Internet Software Consortium's Internet Domain Survey is one of the most known efforts to count the number of hosts on the Internet. Happily the ISC informs us extensively about the methods used for measurements, a policy quite rare on the Web. For the most recent survey the number of IP addresses that have been assigned a name were counted. At first sight it looks simple to get the accurate number of hosts, but practically an assigned IP address does not automatically correspond an existing host. In order to find out, you have to send a kind of message to the host in question and wait for a reply. You do this with the PING utility. (For further explanations look here: Art. PING, in: Connected: An Internet Encyclopaedia) But to do this for every registered IP address is an arduous task, so ISC just pings a 1% sample of all hosts found and make a projection to all pingable hosts. That is ISC's new method; its old method, still used by RIPE, has been to count the number of domain names that had IP addresses assigned to them, a method that proved to be not very useful because a significant number of hosts restricts download access to their domain data. Despite the small sample, this method has at least one flaw: ISC's researchers just take network numbers into account that have been entered into the tables of the IN-ADDR.ARPA domain, and it is possible that not all providers know of these tables. A similar method is used for Telcordia's Netsizer. Internet Weather Like daily weather, traffic on the Internet, the conditions for data flows, are monitored too, hence called Internet weather. One of the most famous Internet weather report is from The Matrix, Inc. Another one is the Internet Traffic Report displaying traffic in values between 0 and 100 (high values indicate fast and reliable connections). For weather monitoring response ratings from servers all over the world are used. The method used is to "ping" servers (as for host counts, e. g.) and to compare response times to past ones and to response times of servers in the same reach. Hits, Page Views, Visits, and Users Let us take a look at how these hot lists of most visited Web sites may be compiled. I say, may be, because the methods used for data retrieval are mostly not fully disclosed. For some years it was seemingly common sense to report requested files from a Web site, so called "hits". A method not very useful, because a document can consist of several files: graphics, text, etc. Just compile a document from some text and some twenty flashy graphical files, put it on the Web and you get twenty-one hits per visit; the more graphics you add, the more hits and traffic (not automatically to your Web site) you generate. In the meantime page views, also called page impressions are preferred, which are said to avoid these flaws. But even page views are not reliable. Users might share computers and corresponding IP addresses and host names with others, she/he might access not the site, but a cached copy from the Web browser or from the ISP's proxy server. So the server might receive just one page request although several users viewed a document. Especially the editors of some electronic journals (e-journals) rely on page views as a kind of ratings or circulation measure, Rick Marin reports in the New York Times. Click-through rates - a quantitative measure - are used as a substitute for something of intrinsically qualitative nature: the importance of a column to its readers, e. g. They may read a journal just for a special column and not mind about the journal's other contents. Deleting this column because of not receiving enough visits may cause these readers to turn their backs on their journal. More advanced, but just slightly better at best, is counting visits, the access of several pages of a Web site during one session. The problems already mentioned apply here too. To avoid them, newspapers, e.g., establish registration services, which require password authentication and therefore prove to be a kind of access obstacle. But there is a different reason for these services. For content providers users are virtual users, not unique persons, because, as already mentioned, computers and IP addresses can be shared and the Internet is a client-server system; in a certain sense, in fact computers communicate with each other. Therefore many content providers are eager to get to know more about users accessing their sites. On-line registration forms or WWW user surveys are obvious methods of collecting additional data, sure. But you cannot be sure that information given by users is reliable, you can just rely on the fact that somebody visited your Web site. Despite these obstacles, companies increasingly use data capturing. As with registration services cookies come here into play. For If you like to play around with Internet statistics instead, you can use Robert Orenstein's Web Statistics Generator to make irresponsible predictions or visit the Internet Index, an occasional collection of seemingly statistical facts about the Internet. Measuring the Density of IP Addresses Measuring the Density of IP Addresses or domain names makes the geography of the Internet visible. So where on earth is the most density of IP addresses or domain names? There is no global study about the Internet's geographical patterns available yet, but some regional studies can be found. The Urban Research Initiative and Martin Dodge and Narushige Shiode from the Centre for Advanced Spatial Analysis at the University College London have mapped the Internet address space of New York, Los Angeles and the United Kingdom (http://www.geog.ucl.ac.uk/casa/martin/internetspace/paper/telecom.html and http://www.geog.ucl.ac.uk/casa/martin/internetspace/paper/gisruk98.html). Dodge and Shiode used data on the ownership of IP addresses from RIPE, Europe's most important registry for Internet numbers.

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Acessing the Internet The Net connections can be based on wire-line and wireless access technolgies. Wire-line access Wire-less access copper wires Satellites coaxial cables mobile terrestrial antennas electric power lines fixed terrestrial antennas fiber-optic cables Usually several kinds of network connections are employed at once. Generally speaking, when an E-mail message is sent it travels from the user's computer via copper wires or coaxial cables ISDN lines, etc., to an Internet Service Provider, from there, via fibre-optic cables, to the nearest Internet exchange, and on into a backbone network, tunneling across the continent und diving through submarine fibre-optic cables across the Atlantic to another Internet exchange, from there, via another backbone network and across another regional network to the Internet Service Provider of the supposed message recipient, from there via cables and wires of different bandwidth arriving at its destination, a workstation permanently connected to the Internet. Finally a sound or flashing icon informs your virtual neighbor that a new message has arrived. Satellite communication Although facing competition from fiber-optic cables as cost-effective solutions for broadband data transmission services, the space industry is gaining increasing importance in global communications. As computing, telephony, and audiovisual technologies converge, new wireless technologies are rapidly deployed occupying an increasing market share and accelerating the construction of high-speed networks. Privatization of satellite communication Until recently transnational satellite communication was provided exclusively by intergovernmental organizations as Intelsat, Intersputnik and Inmarsat. Scheduled privatization of intergovernmental satellite consortia: Satellite consortia Year of foundation Members Scheduled date for privatization Intelsat 1964 200 nations under the leadership of the USA 2001 Intersputnik 1971 23 nations under the leadership of Russia ? Inmarsat 1979 158 nations (all members of the International Maritime Organization) privatized since 1999 Eutelsat 1985 Nearly 50 European nations 2001 When Intelsat began to accumulate losses because of management failures and the increasing market share of fiber-optic cables, this organizational scheme came under attack. Lead by the USA, the Western industrialized countries successfully pressed for the privatization of all satellite consortia they are members of and for competition by private carriers. As of February 2000, there are 2680 satellites in service. Within the next four years a few hundred will be added by the new private satellite systems. Most of these systems will be so-called Low Earth Orbit satellite systems, which are capable of providing global mobile data services on a high-speed level at low cost. Because of such technological improvements and increasing competition, experts expect satellite-based broadband communication to be as common, cheap, and ubiquitous as satellite TV today within the next five or ten years. Major satellite communication projects Project name Main investors Expected cost Number of satellites Date of service start-up Astrolink Lockheed Martin, TRW, Telespazio, Liberty Media Group US$ 3.6 billion 9 2003 Globalstar 13 investors including Loral Space & Communications, Qualcomm, Hyundai, Alcatel, France Telecom, China Telecom, Daimler Benz and Vodafone/Airtouch US$ 3.26 billion 48 1998 ICO 57 investors including British Telecom, Deutsche Telecom, Inmarsat, TRW and Telefonica US$ 4.5 billion 10 2001 Skybridge 9 investors including Alcatel Space, Loral Space & Communications, Toshiba, Mitsubishi and Sharp US$ 6.7 billion 80 2002 Teledesic Bill Gates, Craig McCaw, Prince Alwaleed Bin Talal Bin Abdul Aziz Alsaud, Abu Dhabi Investment Company US$ 9 billion 288 2004 Source: Analysys Satellite Communications Database

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Internet services The Internet can be used in in different ways: for distributing and retrieving information, for one-to-one, one-to-many and many-to-many communication, and for the access services. Accordingly, there are different services on offer. The most important of these are listed below. Telnet FTP (File Transfer Protocol) Electronic Messaging (E-Mail) World Wide Web (WWW) Bulletin Board Systems (BBS) Electronic Data Interchange (EDI) Internet Relay Chat (IRC) Multiple User Dimensions (MUDs) Gopher

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Frederick Taylor b. March 20, 1856, Philadelphia, Pa., U.S. d. March 21, 1915, Philadelphia American inventor and engineer who is known as the father of scientific management. His system of industrial management has influenced the development of virtually every country. In 1881, he introduced time study at the Midvale plant. The profession of time study was founded on the success of this project, which also formed the basis of Taylor's subsequent theories of management science. Essentially, Taylor suggested that production efficiency in a shop or factory could be greatly enhanced by close observation of the individual worker and elimination of waste time and motion in his operation. Though the Taylor system provoked resentment and opposition from labor when carried to extremes, its value in rationalizing production was indisputable and its impact on the development of mass production techniques immense.

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Blaise Pascal b. June 19, 1623, Clermont-Ferrand, France d. August 19, 1662, Paris, France French mathematician, physicist, religious philosopher, and master of prose. He laid the foundation for the modern theory of probabilities, formulated what came to be known as Pascal's law of pressure, and propagated a religious doctrine that taught the experience of God through the heart rather than through reason. The establishment of his principle of intuitionism had an impact on such later philosophers as Jean-Jacques Rousseau and Henri Bergson and also on the Existentialists.

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Robot Robot relates to any automatically operated machine that replaces human effort, though it may not resemble human beings in appearance or perform functions in a humanlike manner. The term is derived from the Czech word robota, meaning "forced labor." Modern use of the term stems from the play R.U.R., written in 1920 by the Czech author Karel Capek, which depicts society as having become dependent on mechanical workers called robots that are capable of doing any kind of mental or physical work. Modern robot devices descend through two distinct lines of development--the early automation, essentially mechanical toys, and the successive innovations and refinements introduced in the development of industrial machinery.

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