24 resultados para speech databases


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Published by the Committee of Arrangement of Washington County, Maryland Printed by G.B. Zeiber and Co.

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Full Title: Speech of the Hon. Daniel Sheffey : on the Bill "to authorise the President of the United States to call upon the several States and Territories thereof for their respective quotas of eighty thousand men for the defence of the frontiers of the United States against invasion", delivered in the House of Representatives of the United States, on the tenth day of December, 1814 Printed by Rapine and Elliot

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Full Title: Speech of the Hon. Daniel Webster, delivered in the House of Representatives of the United States, on the 14th January, 1814, on a bill making further provision for filling the ranks of the regular army, encouraging enlistments, and authorising the enlistments for longer periods of men whose terms of service are about to expire Printed by Snowden and Simms

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A speech given by Sean O'Sullivan, 28 October 1970, at the Annual Meeting of the Fort Erie Progressive Conservative Association. He was President of the Ontario Young Progressive Conservative Association at the time and chose to speak out on his personal position against Marijuana.

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A speech by Sean O'Sullivan, given in the House of Commons, "For the Recognition of the Beaver as a Symbol of the Sovereignty of the Dominion of Canada".

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Classical relational databases lack proper ways to manage certain real-world situations including imprecise or uncertain data. Fuzzy databases overcome this limitation by allowing each entry in the table to be a fuzzy set where each element of the corresponding domain is assigned a membership degree from the real interval [0…1]. But this fuzzy mechanism becomes inappropriate in modelling scenarios where data might be incomparable. Therefore, we become interested in further generalization of fuzzy database into L-fuzzy database. In such a database, the characteristic function for a fuzzy set maps to an arbitrary complete Brouwerian lattice L. From the query language perspectives, the language of fuzzy database, FSQL extends the regular Structured Query Language (SQL) by adding fuzzy specific constructions. In addition to that, L-fuzzy query language LFSQL introduces appropriate linguistic operations to define and manipulate inexact data in an L-fuzzy database. This research mainly focuses on defining the semantics of LFSQL. However, it requires an abstract algebraic theory which can be used to prove all the properties of, and operations on, L-fuzzy relations. In our study, we show that the theory of arrow categories forms a suitable framework for that. Therefore, we define the semantics of LFSQL in the abstract notion of an arrow category. In addition, we implement the operations of L-fuzzy relations in Haskell and develop a parser that translates algebraic expressions into our implementation.