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Sergeeva4,d 1Department of Quality management and technology of building production, «Penza State University of Architecture and Construction», Penza, Russia 2 Department of Quality management and technology of building production, «Penza State University of Architecture and Construction», Penza, Russia 3 Department of Quality management and technology of building production, «Penza State University of Architecture and Construction», Penza, Russia 4 Department of Quality management and technology of building production, «Penza State University of Architecture and Construction», Penza, Russia aloganin@mail.ru, bMak.78_08@inbox.ru, crwtarasow@rambler.ru, d kleopatra0100@rambler.ru Keywords: limy compositions, filler, calcium silicates, structure, water resistance Abstract: Data about regularities of influence of filler, based on the calcium hydrosilicate, on properties of limy dry construction mixes and coverings in their basis are given.
Samples with Kratasol's PFM additive have higher value of coefficient of a softening (Ksoft=0,57) and S-3 (Ksoft=0,63) that, apparently, is explained by existence in composition of an additive Kratasol PFM the hydrophobic component, and also by creation of more dense structure owing to reduction of an amount of water of a mixing.
Introduction to a compounding an additive HSC leads to reduction of porosity.

Vibration test principle and data processing method.
Data processing method.
Active damping for chatter reduction in high speed machining.
Study on a new type of data logging system for vibration measurement and software pack for data processing and analysis, J.
Data Processing and Application of MATLAB.

Information corresponding to a 5D (Φ1, Φ, Φ2, z, x · y) map is deducted from the 3DXRD data.
(a) ω =-44.5° (b) ω =-43.5° (c) ω =-42.5° Figure 2: Data images with background subtracted.
Diffraction data were obtained for a gauge volume of 51 layers spaced at 6 µm with the Frelon CCD-detector.
The 3D position of the grains inside the sample cannot be resolved from the data presented here.
However, additional data was taken with a high-resolution Sensicam detector at several distances close to the sample.

So PCA is used for the dimension reduction to improve the flame detection speed and accuracy.
Because many noises may be existed in the color features, median filtering function is used to facilitate data normalization .The formulas are as follows:
After the dimensionality reduction by PCA, the characteristic matrix (N=4) is obtained.
A contour fluctuation data processing method for fire flame detection using a color camera[C].Proceeding of IEEE 26th Annual Conferenceo n IECON of the Industrial Electronics Society.
Technologies and Applications of Visual Saliency Detection for Image Datum [D].National University of Defense Technology,2007 [12] L.Itti, C.Koch, E.Niebur, et al.

With the interface users can edit, download recipe data, display critical process parameters, historical data and real-time data curves, etc., the human-machine interface can be communicate with upper host by serial communication [2].
Thus, energy saving, cost consuming and noise reduction can be easily reached by this device.
Through the man-machine interface the running state and alarm of dry mortar production line can be displayed, and a real-time data curve and data report for display and printing can be formed also [3, 4].
Conclusions Via PROFUBUS-DP network all electrical devices can be bidirectional interconnected as a whole and thus high speed data communication can be realized also.
Advanced friendly Human-Machine Interface, like IPC (Industrial Personal Computer) or touch screen, were selected as host computer interface, which can perfectly realize the important data and recipe editing, download, the key data in the PLC upload, important process parameters displaying, key parameter setting, process monitoring and so on.

Information fusion, also named data fusion, is an efficient process of accumulating data obtained from different sources.
By means of information fusion, it can make a final decision using multiple data or information sources, which will be more accurate and reliable than if it is achieved by a single source.
Jiang et al. [9] addressed a novel hybrid data-fusion system for damage detection by integrating the data fusion technique, probabilistic neural network (PNN) models and measured modal data.
Evaluation of Damage Identification In general, the sensitivities of different damage indices are not the same owing to the influence of noise and the uncertainties of measurement data.
For each case, the modal data (frequencies and mode shapes) before and after damage are obtained from a finite element model.

Using data from tests on laboratory studies, comparisons are made of the properties and performance of the gangue, fly ash and silica fume concrete with conventional Portland cement concrete of similar and same mixture proportions.
Reduction ratio of concrete with mix supplementary cementing materials such as gangue, fly ash, slag, silica fume and admixtures is given Fig. 2.
Water reduction of difference between W/GFSSA and mixtures Fig. 2.
The addition of fly ash 15%, gangue 15% and slag 10% resulted in a reduction in compressive strength.
The reduction in strength is attributed to the fact that specimens were cured for a short period of time.

Dots represent experimental data and lines are the predicted values obtained with Fick's model.
Fig. 3b shows experimental data for WL during osmotic dehydration of pumpkin and chestnut with NaCl solutions.
Dots represent experimental data and lines are the predicted values obtained with Fick's model.
Dots represent experimental data and lines are the predicted values obtained with Fick's model.
[30] FAOSTAT data (2006).

The data shown indicates that this property varies significantly depending on which deposition chemistry is used.
B concentration (cm-3) The data shows that the gradient is the steepest for the widest spike (2.7 s).
Data for 950°C is shown for comparison and one can see that the gradient increases in going from 950°C to 1050°C (for the reasons mentioned above).
The data taken together with the data of Fig. 8 show that this is because tail movement during the low and intermediate parts of a spike-anneal profile set a minimum to junction depth which can only be approached at the expense of reduced abruptness.
Data are shown for various combinations of these two temperatures.

And the value of frequency, which is converted by data package’s payload and flow features, is put into counter vectors.
Because this algorithm is aimed at selecting features, the kind of the application’s session is known, the data set of it will be used to train the matching model, and the model is called data model.
The matching model of target application is denoted by AT, the others are denoted by Ai, the data model is denoted by AD.
In the Experiment, α is set as 0.5, after selecting feature, the relative entropy between data model and target model (Dameware) has a certain decrease, the relative entropy between data model and most of other models don’t decrease.
This method need a high accuracy of the data set, must be chosen by manual work.