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AMO is specialized in data-analysis, time series analysis, trend analysis. modelling and optimization. We provide consultancy since 1989 and on 28 september 2007 we
commemorated our 18 year anniversary.
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We are experts in data-analysis, covering the whole range, including :
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Data manipulation and presentation
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Correlation analysis
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Statistical analysis
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Time series analysis
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Trend analysis
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Neural networks
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Optimization
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In solving problems we develop specific software. Our software we develop in the Matlab environment. Matlab is the leading professional mathematical package with modules in the area of : signal analysis,
identification, control, optimization, statistics, time series analysis, trend analysis and simulation. Clients of us include : government institutes for the maintenance of ways and waterworks, water management companies and
industries concerning with optimization of their production processes.
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Since 5 years AMO and Icastat (Paul Baggelaar) work together and we made some professional software programs like 'Trendanalist' (trend analysis), 'Tijdreeksanalist' (TRG 4.1, time series analysis) and 'Lozingseis-assistent' (for making demands for polluters). On our AMO-Icastat download page
you find information about AMO-Icastat projects.
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A unique product of AMO is the software program TRG ('Tijdreeksanalist'). With TRG applied to time series of measurements complex processes can be
analyzed and modelled. The (extended) BOX-Jenkins method is implemented. Dutch water management companies like PWN (Heemskerk), Brabant Water and Vitens use TRG for analyzing and modelling the groundwater levels related to precipitation, waterdischarge and other influences.
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We developed a program for smoothing of noisy depth measurements for the National Institute for Coastal and Marine Management/RIKZ ('Rijksinstituut voor Kust en Zee'). The 'penalized least squares'-method is implemented in the program. The method proved to be simple and
effective in eliminating of outliers.
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Interesting projects were the optimization of monitoring network of RIKZ in the Westerschelde and the optimization of a groundwater monitoring network of the
watercompany Hydron (Utrecht). A correlation analysis gives a good impression of the locations which are easily predicted from
other groundwater wells.
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We modelled the squat of the two vessels the Markermeer and the Westergat for the National Institute for the maintenance of the IJsselmeer waterways ('Rijkswaterstaat Directie IJsselmeergebied'). The squat is the sinkage of a ship caused by water depth and the ship's speed. The squat is a significant error contributing to the depth
measurements. Because of the cleaning up of the groundpollution in the Keteldiep in the IJsselmeer depth measurements must be as accurate as
possible.
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We researched the possibility of the reduction of the measurement frequency to derive the situation of the Dutch coastline. If the case that the coastline is expected to be more landwards, than sand supplements have to compensate the decrease.
In 2001 at the Dutch island Terschelling depth measurements were performed by different vessels and measurement systems. The question was what are the differences between
comparible depth measurements and what is the cause of these differences. By the Meetkundige Dienst of Rijkswaterstaat a start was made for a research of the phenomenon the
squat. We gave a presentation of 'Analysis accuracy depth measurements in the Northsea' on the first Benelux Matlab Userconference in Amsterdam.
We developed a neural network for the company BION OVERIJSSEL for the prediction of the time of the cleaning up of the pollution of grounds.
We optimized the chemical monitoring network of RIKZ using correlation analysis.
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AMO, Deldenerstraat 81, 7551 AC Hengelo, The Netherlands, tel. +3174-2503301
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