Challenges for Copyright by ICT: Introduction Traditional copyright and the practice of paying royalties to the creators of intellectual property have emerged with the introduction of the printing press (1456). Therefore early copyright law has been tailored to the technology of print and the (re) production of works in analogue form. Over the centuries legislation concerning the protection of intellectual property has been adapted several times in order to respond to the technological changes in the production and distribution of information. Yet again new technologies have altered the way of how (copyrighted) works are produced, copied, made obtainable and distributed. The emergence of global electronic networks and the increased availability of digitalized intellectual property confront existing copyright with a variety of questions and challenges. Although the combination of several types of works within one larger work or on one data carrier, and the digital format (although this may be a recent development it has been the object of detailed legal scrutiny), as well as networking (telephone and cable networks have been in use for a long time, although they do not permit interactivity) are nothing really new, the circumstance that recent technologies allow the presentation and storage of text, sound and visual information in digital form indeed is a novel fact. Like that the entire information can be generated, altered and used by and on one and the same device, irrespective of whether it is provided online or offline.

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ECHELON Main Stations Location Country Target/Task Relations MORWENSTOW UK INTELSAT, Atlantic, Europe, Indian Ocean NSA, GCHQ SUGAR GROVE USA INTELSAT, Atlantic, North and South America NSA YAKIMA FIRING CENTER USA INTELSAT, Pacific NSA WAIHOPAI NEW ZEALAND INTELSAT, Pacific NSA, GCSB GERALDTON AUSTRALIA INTELSAT, Pacific NSA, DSD MENWITH HILL UK Sat, Groundstation, Microwave(land based) NSA, GCHQ SHOAL BAY AUSTRALIA Indonesian Sat NSA, DSD LEITRIM CANADA Latin American Sat NSA, CSE BAD AIBLING GERMANY Sat, Groundstation NSA MISAWA JAPAN Sat NSA PINE GAP AUSTRALIA Groundstation CIA FORT MEADE USA Dictionary Processing NSA Headquarters WASHINGTON USA Dictionary Processing NSA OTTAWA CANADA Dictionary Processing CSE CHELTENHAM UK Dictionary Processing GCHQ CANBERRA AUSTRALIA Dictionary Processing DSD WELLINGTON NEW ZEALAND Dictionary Processing GCSB Headquarters

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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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Neural network A bottom-up artificial intelligence approach, a neural network is a network of many very simple processors ("units" or "neurons"), each possibly having a (small amount of) local memory. The units are connected by unidirectional communication channels ("connections"), which carry numeric data. The units operate only on their local data and on the inputs they receive via the connections. A neural network is a processing device, either an algorithm, or actual hardware, whose design was inspired by the design and functioning of animal brains and components thereof. Most neural networks have some sort of "training" rule whereby the weights of connections are adjusted on the basis of presented patterns. In other words, neural networks "learn" from examples and exhibit some structural capability for generalization.

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