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The sources of measurement errors associated with hardware and algorithms of operation and data processing have been analysed in detail.
An integrated system based on GIS platform has been developed to predict subsidence due to underground mining in which all calculations and data processing have been implemented in a computer program as an extension tool in ArcGIS, called as mining subsidence damage assessment system (MSDAS-GIS).
A variety of improvements in biochemistry, sample preparation and data processing have been developed to enhance sequencing accuracy.
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The software package for acquisition and data processing has been developed to control and manage complex measurements.
All data is MIAME compliant and the full set of raw and processed data, along with detailed methods regarding data processing have been deposited in the ArrayExpress (http://www.ebi.ac.uk/microarray-as/ae/) database under accession numbers E-MEXP-2399 E-MEXP-2399 E-MEXP-2399-2402.
Moreover, several advanced methods for incremental data processing have been proposed in recent years as the sizes of recent databases obtained in the real world become larger.
The methods used for microarray data processing have been described in detail previously [47].
The procedures for raw data processing have been described in detail elsewhere [ 7].
Details on the microarray data processing have been previously described [ 57].
Procedures for data processing have been previously described [ 30], including background subtraction, correction for illumination energy, correction for system throughput, and (for reflectance data) calculation of the ratio of tissue reflectance to the reflectance of a white Teflon standard.
Those methods characterized by non-contact operation, full-field acquisition and fast data processing has been widely used in industrial inspection, quality control, reverse engineering, micro-fabrication and other fields [2 6].
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