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Author Day, Peter I.
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Abstract Unocal Science & Technology Division has used STSC APL*PLUS to build a software package --- PC-LogIC --- for analyzing data from oil-wells. Such data is routinely gathered from a variety of electrical, mechanical, and nuclear sensors lowered into the well-bore and, for our purposes, can be regarded as coincident depth-series vectors. PC-LogIC was designed to allow the data analyst to perform two key tasks: rapid "visualizing" of the data; and selecting algorithms and parameters for interpreting the data.APL has been used to fulfill two different needs. At a fundamental level, there is one set of algorithms that actually performs the data analysis. At a higher level, not necessarily tied to the type of data being analyzed, is a second set of functions that provides an interactive interface between the user, the data and the interpretation algorithms. This interface is provided through menus that operate in both text and graphics mode, through text-entry panels, and through an extensive series of graphical routines. In text mode operation, considerable use has been made of □WIN and related functions under keyboard control, whereas in graphics mode □G-style graphics have been used, with mouse control provided through □INT 51. A demonstration of PC-LogIC, concentrating on the higher-level interface, will be given on a 386/AT-compatible machine.
Description Affiliation: Unocal Science & Technology Division, Post Office Box 76, Brea, California (Day, Peter I.)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1988-12-01
Publisher Place New York
Journal ACM SIGAPL APL Quote Quad (APLQ)
Volume Number 21
Issue Number 4
Page Count 12
Starting Page 106
Ending Page 117

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Source: ACM Digital Library