31 |
Investigation of cable emissions within a screened room environmentGoodwin, Stephen January 1989 (has links)
No description available.
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32 |
Faraday current sensing using chromatic modulationLi, Gongde January 1997 (has links)
No description available.
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33 |
Partial discharge detection in cable systemsTian, Yuan January 2001 (has links)
No description available.
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34 |
Coupling between braided coaxial cables in a multi conductor environment up to microwave frequenciesCudd, Peter Alan January 1982 (has links)
No description available.
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35 |
Venus in chairs : a neo-Darwinian analysis of classical beauty in art and its subsequent passage from art to designHaywood, Mark January 2000 (has links)
No description available.
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36 |
Studies on molecular excitation in star formation regionsBishop, Ivan Stuart January 1989 (has links)
No description available.
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37 |
Mesh generation in TLMMeliani, H. January 1987 (has links)
No description available.
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38 |
A TLM analysis of an all-optical switching deviceJaques, Stuart Roland January 1996 (has links)
No description available.
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39 |
TLM modelling of the thermal experience of vitreous china ware during firing in a tunnel kilnHurst, Alfred Ian January 1993 (has links)
No description available.
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40 |
Multidimensional aggregation in OLAP systemsKotsis, Nikolaos January 2000 (has links)
On-line analytical processing (OLAP) provides multidimensional data analysis to support decision making. OLAP queries require extensive computation based on aggregation along many dimensions and hierarchies. The time required to process these queries has traditionally prevented the interactive analysis of large databases and in order to accelerate query-response time, precomputed results are often stored as materialised views for later retrieval. This adds a prohibitive storage overhead when applied to the whole set of aggregates, known as the data cube. Storage space and computation time can be significantly reduced by partial computation. The challenge in implementing the data cube has been to select the minimum number of views for materialisation, while retaining fast query response time. This thesis makes significant contributions to this area by introducing the Low Redundancy (L-R) approach which provides the means for the selection, computation and storage of nonredu ndant aggregates. Firstly, through the introduction of a novel technique, redundant aggregates are identified thus allowing only distinct aggregates to be computed and stored. Secondly, further redundancy is identified and eliminated using a second novel technique which stores these distinct aggregates in a compact differential form. Novel algorithms were introduced to implement these techniques and provide a solution which is both scalable and low in complexity. Both techniques have been evaluated using real and synthetic datasets with experimental results, and have achieved significant savings in computation time and storage space compared to the conventional approach. Savings have been shown to increase as dimensionality increases. Existing techniques for implementing the data cube differ from the L-R approach but they can be integrated with it to achieve faster query-response time. Finally, the implications of this work reach beyond the area of OLAP to the fields of decision support systems, user interfaces and data mining.
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