939 resultados para INFORMATION PROCESSING


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National Highway Traffic Safety Administration, Washington, D.C.

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Federal Highway Administration, Traffic Systems Division, Washington, D.C.

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Federal Highway Administration, Traffic Systems Division, Washington, D.C.

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Federal Highway Administration, Traffic Systems Division, Washington, D.C.

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National Highway Traffic Safety Administration, Washington, D.C.

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Texas State Department of Highways and Public Transportation, Transportation Planning Division, Austin

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Mode of access: Internet.

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Paper presented at the Purdue Centennial Year Symposium on Information Processing, April 28, 1969.

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"Prepared under a grant from the National Historical Publications and Records Commission, Grant 87-47"--t.p. verso.

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Photocopy. Springfield, Va., Distributed by Clearinghouse for Federal Scientific and Technical Information [1969]

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Thesis (Ph.D.)--University of Washington, 2016-06

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How useful is a quantum dynamical operation for quantum information processing? Motivated by this question, we investigate several strength measures quantifying the resources intrinsic to a quantum operation. We develop a general theory of such strength measures, based on axiomatic considerations independent of state-based resources. The power of this theory is demonstrated with applications to quantum communication complexity, quantum computational complexity, and entanglement generation by unitary operations.

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This paper proposes a novel application of fuzzy logic to web data mining for two basic problems of a website: popularity and satisfaction. Popularity means that people will visit the website while satisfaction refers to the usefulness of the site. We will illustrate that the popularity of a website is a fuzzy logic problem. It is an important characteristic of a website in order to survive in Internet commerce. The satisfaction of a website is also a fuzzy logic problem that represents the degree of success in the application of information technology to the business. We propose a framework of fuzzy logic for the representation of these two problems based on web data mining techniques to fuzzify the attributes of a website.