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Finite Element Data Reduction Based Energy Release Rate for Delamination Tests S.
This is shown through two relevant aspects in delamination toughness measuring, say: data reduction and Iso-G delamination front design.
Many experimental data reductions are based on beam theories and thus assumes straight delamination front during propagation, which is not true when investigating laminates with general anisotropy.
Data Reduction Based Energy Release Rate Experimental Approaches.
This last expression (3) can be used as data reduction scheme more efficiently in delamination toughness measuring.

· Extracting knowledge from data.
Roadmap on technologies of model order reduction, data-sciences and hybridation.
The first concerns data analysis and more particularly data-reduction.
By combining both, physics-based models, calibrated by using data assimilation, and operating in real time by using advanced model order reduction techniques, with a data-driven model for describing the gap between the measures and the physics-based model prediction.
Model order reduction, manifold learning, data-driven applications and nonlinear dimensionality reduction.

Another one for dimension reduction trains a subspace projection matrix to project original data space into some low-dimensional subspaces which have deep architecture, so that the low-dimensional codes would be learned.
Unfortunately, most effective visual features are at high-dimensional data space [2].
Thus, it is difficult for computers to process such a huge data.
It tries to represent the data by the linear combination of a small number of basic elements, and the combination coefficients will be used as low dimensional data.
Kim: Data Mining and Knowledge Discovery, Vol. 26 (2013) No.3, p. 512-32 [3] J.Y.

For the mixture, the experimental TG-DSC curves of mixture are compared with the calculated weighted sum, which is the sum of the TGA-DSC data of pure iron ores and biomass according to their weighting percentages, shown in Fig. 2 (b).
It is clear that the experimental data of the mixture is almost consistent with the calculated weight sum before 450 oC, mainly relating to the remove of the water combined in the iron ores.
Thereby, we could conclude that the other components in the iron ores have somewhat effect on the pyrolysis of the biomass, which leads to the difference between the experimental data and the calculated results.
The reduction of goethite ores was conducted in a lab-scale reactor.
Valix, Reduction roasting of limonite ores: effect of dehydroxylation, Int.

The structural effect value were 0.99% and -1.91% respectively, namely the breeding structure does not promote the COD discharge reduction but benefits NH4-N discharge reduction.
According to dynamically updated data from national census of pollution sources, the discharge of Chemical Oxygen Demand (COD) and ammonia nitrogen (NH4-N) of China’s livestock and poultry industry in 2010 were 11.48 million tons and 0.65 million tons respectively, which account for 45% and 25% of the total discharge of the country, and 95% and 79% of the total discharge of agricultural source.
Method and Data The pollutants discharge of large-scale livestock and poultry farms has been analyzed based on the hierarchical decomposition methods.
(8) (9) 1.2 Data source illustration and data processing The data used in the model for calculating breeding quantity and pollutant discharge is derived from 2010-2013 environmental statistics.
Structure effect presents an obvious affection on NH4-N discharge reduction of livestock and poultry breeding industry, but fails in COD reduction.

In this paper the process of direct reduction of vanadium slag was adopted.
The test results showed that the regression equation curve fitting of the experiment data was very significant, the main factors affecting the vanadium slag reduction (according to the primary and secondary order) was the content of anhydrous sodium carbonate, roasting temperature, roasting time and reduction of carbon content.
The reduction process of iron oxides is a crystallization of chemical reaction.
In the table the baking reduction temperature was 1150℃, baking reduction time was 4h, the mass percentage of anhydrous sodium carbonate and slag was 5.56%.
Therefore the reduction temperature under the optimum condition was 1100℃.

The evaluation from the data objects based on key attributes can reduce the data size and algorithm complexity.
After Clustering analysis of customers, then the evaluation analysis will process to the clustering data.
There are a lot of uncertain data of customer cluster, so the traditional method of classification and evaluation to the incomplete data is very difficult.
Tested by actual data analysis, cluster analysis can reduce the size of customer data and data noise, and the key class evaluation analysis can improve the evaluation efficiency of e-commerce customers.
Data Analysis Approaches Of Soft Sets Under Incomplete Information.

It gave us several advantages by allowing us flexible data reduction depending on users’ purposes, especially for time resolved experiments.
A data acquisition (DAQ) system and a data reduction software are also important for in situ measurements because they heavily affect experiment method and quality of data.
This paper demonstrates in situ neutron diffraction experiments during tensile load using these advanced DAQ system and data reduction software to utilize sets of event data including experimental conditions.
Data Reduction Software Raw event data measured by most of neutron scattering instruments at MLF are reduced to histogram data using software programs based on a Manyo-lib which is a data analysis library for neutron scattering experiments [7, 8, 9].
Major upgrade of the library was developed and data reduction software programs for TAKUMI were modified in order to enable data reduction using not only neutron and time information but also information of experimental conditions recorded by the TrigNET module.

From the reduction results, it could be observed that with increasing reduction temperature reduction rate has increased.
From the results it can be observed that reduction temperature is the major factor on degree of reduction.
The kinetic models were examined by using experimental data.
It was found that the experimental data would fit perfectly with the Mckewan interface chemical reaction (1−(1 −R)1/3 = kt).
Low temperature reduction of magnetite, Thermochim.

Without reactive power data, the system assumes that the power factor is fixed; without voltage data, the system makes use of the rated voltage.
In addition, with GPRS module installed in it, the meter can achieve wireless data transmission.
Therefore, decision support system for comprehensive power loss reduction of rural power network is designed with a common data interface.
In the process of data input and theoretical line loss calculation, the system can obtain existing data from other software systems avoiding manual input.
It ensures the accuracy of the data and improves efficiency of inputting data.