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Artificial Intelligence through Prolog by Neil C. Rowe
Artificial Intelligence through Prolog by Neil C. Rowe
Prentice-Hall, 1988, ISBN 0-13-048679-5
Full text of book (without figures)Approved for public release; distribution is unlimited
Introduction and chapter summaries
School leadership now rightly holds centre stage in discussions about schools, their performance and student learning. However, the availability of quality evidence on school leadership in our country is scarce and what is available is scarcely used. There have been few examples of collected pieces of writing from Australians focusing on school leadership. There are a small number of research studies on Australian school leadership and there is a variable quality of the research that has been published (Mulford, 2007)
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Design of a programmable jig for automated assembly and machining
Thesis (B.S.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1983.MICROFICHE COPY AVAILABLE IN ARCHIVES AND ENGINEERINGBibliography: leaf 20.by Neil C. Singer.B.S
Multimedia Systems by Neil C. Rowe
Invited chapter for the Encyclopedia of Distributed Computing, eds. J. Urban and P. Dasgupta, submitted 1/98, but Encyclopedia was never published.Multimedia systems combine the digital form of images, graphics, audio, electronic signals, or video with traditional text data.
Multimedia systems provide many fruitful applications for distributed and parallel processing for several reasons. First, multimedia
data can be bulky: A traditional television picture has almost a million bytes of data, and video needs at least 24 of those per second.
Thus even simple operations on data can significantly benefit from smarter processing methods. Second, many important multimedia
applications like video delivery have difficult real-time constraints. Third, multimedia data is often easily partitionable for processing.Approved for public release; distribution is unlimited
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