943 resultados para PID and Fuzzy and practical models
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Mode of access: Internet.
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Description based on: V. 5, no. 1 (June 1891); title from cover.
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"Appendix (p.203-292) Rules of the United States Circuit court of appeals for the Ninth circuit. Revised rules for the Supreme Court of the United States, under act of February 13, 1925, as amended June 7, 1926. Requirements respecting petitions for writs of certiorari under the act of February 13, 1925. Jurisdictional act of February 13, 1925, as amended April 3, 1926. Sections 24 and 25 of the Bankruptcy act, as amended May 28, 1926, effective August 28, 1926."
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I. Physical geology and palaeontology, by H. G. Seeley. -- II. Stratigraphical geology and palaeontology, by R. Etheridge.
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Includes index.
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Includes indexes.
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Mode of access: Internet.
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Mode of access: Internet.
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Binder's title: Improvement in bridges.
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Remotely sensed data have been used extensively for environmental monitoring and modeling at a number of spatial scales; however, a limited range of satellite imaging systems often. constrained the scales of these analyses. A wider variety of data sets is now available, allowing image data to be selected to match the scale of environmental structure(s) or process(es) being examined. A framework is presented for use by environmental scientists and managers, enabling their spatial data collection needs to be linked to a suitable form of remotely sensed data. A six-step approach is used, combining image spatial analysis and scaling tools, within the context of hierarchy theory. The main steps involved are: (1) identification of information requirements for the monitoring or management problem; (2) development of ideal image dimensions (scene model), (3) exploratory analysis of existing remotely sensed data using scaling techniques, (4) selection and evaluation of suitable remotely sensed data based on the scene model, (5) selection of suitable spatial analytic techniques to meet information requirements, and (6) cost-benefit analysis. Results from a case study show that the framework provided an objective mechanism to identify relevant aspects of the monitoring problem and environmental characteristics for selecting remotely sensed data and analysis techniques.