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31.
基于多传感器数据融合方法的火灾模拟实验炉温度采集系统 总被引:6,自引:1,他引:5
基于多传感器算术平均值与分批估计的数据融合方法在火灾模拟实验炉上温度数据采集中的应用,用VB6.0开发了相应的实际应用系统。 相似文献
32.
数据采集与监控软件Genie 总被引:2,自引:0,他引:2
Genie是具有国际先进水平的数据采集与监控软件,它提供了一个面向对象的图形化用户界面,因此简化了数据采集过程、控制应用程序开发和操作员界面。本文介绍了Genie的特点、功能、基本用途以及VISUALBA-SIC在设计这类监控软件中的作用。 相似文献
33.
介绍一种新型光纤燃煤炉火焰检测器,阐述其系统组成及特点,并提出了基于模糊推理的多信号融合处理方法。 相似文献
34.
Dantong Yu Gholamhosein Sheikholeslami Aidong Zhang 《Knowledge and Information Systems》2002,4(4):387-412
Finding the rare instances or the outliers is important in many KDD (knowledge discovery and data-mining) applications, such
as detecting credit card fraud or finding irregularities in gene expressions. Signal-processing techniques have been introduced
to transform images for enhancement, filtering, restoration, analysis, and reconstruction. In this paper, we present a new
method in which we apply signal-processing techniques to solve important problems in data mining. In particular, we introduce
a novel deviation (or outlier) detection approach, termed FindOut, based on wavelet transform. The main idea in FindOut is to remove the clusters from the original data and then identify
the outliers. Although previous research showed that such techniques may not be effective because of the nature of the clustering,
FindOut can successfully identify outliers from large datasets. Experimental results on very large datasets are presented
which show the efficiency and effectiveness of the proposed approach.
Received 7 September 2000 / Revised 2 February 2001 / Accepted in revised form 31 May 2001
Correspondence and offprint requests to: A. Zhang, Department of Computer Science and Engineering, State University of New York at Buffalo, Buffalo, NY 14260, USA.
Email: azhang@cse.buffalo.eduau 相似文献
35.
36.
Inaki Arrazola Agn s Plainfoss Henri Prade Claudette Testemale 《Information Systems》1989,14(6):487-492
This paper presents different approaches which enable a data base management system to obtain a plausible fuzzy estimate for an attribute value of an item for which the information is not explicitly stored in the data base. This can be made either by a kind of analogical reasoning from information about particular items or by means of expert rules which specify the (fuzzy) sets of possible values of the attribute under consideration, for various classes of items. Another kind of expert rules enables the system to compute an estimate from the attribute value of another item provided that, in other respects, this latter item sufficiently resembles the item, the value of which we are interested in; then these expert rules are used either for controlling the analogical reasoning process or for enlarging the scope of application of the first kind of expert rules. The different approaches are discussed in the framework of possibility theory. 相似文献
37.
38.
L.D. Bozano B.W. Kean M. Beinhoff K.R. Carter P.M. Rice J.C. Scott 《Advanced functional materials》2005,15(12):1933-1939
Non‐volatile solid‐state memory cells based on composites of metal nanoparticles and polymers are embedded in organic semiconducting host materials. This paper presents data from a wide range of materials and device structures and shows that the switching phenomenon is commonly observed. 相似文献
39.
Modeling and assimilation of root zone soil moisture using remote sensing observations in Walnut Gulch Watershed during SMEX04 总被引:1,自引:0,他引:1
Soil moisture status in the root zone is an important component of the water cycle at all spatial scales (e.g., point, field, catchment, watershed, and region). In this study, the spatio-temporal evolution of root zone soil moisture of the Walnut Gulch Experimental Watershed (WGEW) in Arizona was investigated during the Soil Moisture Experiment 2004 (SMEX04). Root zone soil moisture was estimated via assimilation of aircraft-based remotely sensed surface soil moisture into a distributed Soil-Water-Atmosphere-Plant (SWAP) model. An ensemble square root filter (EnSRF) based on a Kalman filtering scheme was used for assimilating the aircraft-based soil moisture observations at a spatial resolution of 800 m × 800 m. The SWAP model inputs were derived from the SSURGO soil database, LAI (Leaf Area Index) data from SMEX04 database, and data from meteorological stations/rain gauges at the WGEW. Model predictions are presented in terms of temporal evolution of soil moisture probability density function at various depths across the WGEW. The assimilation of the remotely sensed surface soil moisture observations had limited influence on the profile soil moisture. More specifically, root zone soil moisture depended mostly on the soil type. Modeled soil moisture profile estimates were compared to field measurements made periodically during the experiment at the ground based soil moisture stations in the watershed. Comparisons showed that the ground-based soil moisture observations at various depths were within ± 1 standard deviation of the modeled profile soil moisture. Density plots of root zone soil moisture at various depths in the WGEW exhibited multi-modal variations due to the uneven distribution of precipitation and the heterogeneity of soil types and soil layers across the watershed. 相似文献
40.