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Statistical data show that, among the groups, In-Ceram slip-casting Glass/Alumina composite (AL2), Electroformed Alumina (AL2), Cercon base color Zirconia and Cercon base Zirconia have significant differences between every group.
Table 2 show the data obtained from Tukey’s multiple test analysis of the spectral transmittance of visible light of the six groups of all-ceramic core materials after veneering ceramic (τ).
This development is characterized by higher strength, beautiful appearance, and better marginal fitness, as supported by data in established literature.
Therefore, the experimental data should be lower than the data measured by diffuse transmittance.
Absorption and transmission of light cause a reduction in the brightness of the specimen, changing its chromaticity further.

Just as the steel fiber reinforced normal concrete (SFRC), the results of SFLWC exhibited a high variability, and variability tend to higher with the reduction of steel fiber content.
The data with * are eliminated because of being exceptionally high.
A number of mathematical probability models have been employed for the statistical description of fatigue data and impact data of concrete[8].
The impact test data for SFLWC with different fiber contents have been analyzed, five typical plots are shown in Fig.3 to 7, where the first-crack strength (N1) of SFLWC corresponding to steel fiber volume of 0.0%, 0.5%, 1.0%, 1.5% and 2.0% are plotted.

Image Processing After numerical reconstruction, three 3D tomographic data sets were generated: high energy tomograms, low energy tomograms and difference tomograms.
Each data set was composed of 1299 horizontal 2D tomograms, having dimensions of 1299×1299 pixels with the spatial resolution of 2.4 mm per pixels.
Programs written in IDL were used to release and process the data.
After noise reduction, the 2D images were converted into binary images, i.e., with intensity values of only 0 and 1.
After image processing and 3D visualization, we obtained a series data of geometric and statistical information of arsenic aggarates and porous media.

For each equivalence class, it needs 2 input data: and .
Suppose there are equivalence classes, then there are input data.
Based on initial data, it obtains the related statistical result of patent classes in Table 2.
and (which has been obtained by initial data), denote patient classes which must belong to and may belong to “cold patient set” respectively.
Kusunoki, “Variable-precision dominance-based rough set approach and attribute reduction,” International Journal of Approximate Reasoning, Vol. 50, 1199-1214, 2009 [5] X.Y.

Actually, the print-through caused by ink penetration is also due to opacity reduction in the printing area on paper [9,10,11,12].
In Table 1, data variation among the three factors revealed this rule.
Relationships between paper PTR value and print-through property Fig. 2 and Fig. 3 are built up according to the data in Table 1, Table 2.
Under the same printing condition, print-through value of cyan print sample is a little larger than that of magenta print sample, and the data of offset paper is also a bit larger than that of newsprint. 3.
It is the first time to bring PTR value to predict print-through property for paper print, the forecasting model is built up, and the data show when PTR value is lower than 73%, the print-through problems will be more serious with the falling PTR.

Its main functions are coal gasification, heat supply, melting of pre-reduced ore, final reduction and carburization of molten iron and so on.
The thermocouples are inserted into the back of the model for about 15 mm, and the temperature data are stored in a computer.
During the experiment, the thermocouples were mainly surrounded by gas, so the data of thermocouple could be considered as the gas temperature.
The temperature data were shown in Fig. 3.
(6) Because the hearth is considered as insulation, the gas temperature data are not analyzed in this study.

Fisher’s LDA is one commonly technique for data classification and dimensionality reduction.
This algorithm is to find a transformation matrix which maximizes the ratio of between-class variance to the within-class variance in any particular data set thereby guaranteeing maximal separability [11].
The recorded signals are sent to a data acquisition system (DONGHUA-DH5922) and a personal computer (PC).
Chen, Tool condition monitoring in an end-milling operation based on the vibration signal collected through a microcontroller-based data acquisition system, The International Journal of Advanced Manufacturing Technology, 39 (2008) 118-128

The structure of the paper is organized as follows: Section 2 presents the definition of the problem, taking into account the specifics of rock mining and appropriate regulations, Section 3 contains a brief description of the data sources.
After preparation of the data, an analysis was performed using a weighted sum.
Fig. 1Flowchart of spatial data processing for land availability evaluation Fig. 2 The database developed for the need to assess the suitability of land Fig. 3 a) Results of analysis of the land availability for the location of conveyor belts using a weighted sum b) Visualization of the intersection of the planned route of belt conveyors with rivers and road infrastructure Summary This article describes a procedure for the analysis of conveyors route planning in a mining company.
Due to the spatial and complex nature of the problem, to manage and analyze of a multi-dimensional set of data that is necessary to solve the problem, an IT system in GIS technology is proposed.
Mazurek, Assessing the potentiality for noise reduction in the immediate vicinity of the strip mine „Turow”, Environmental Protection 1-2 (1993) 57-60.

In the traditional method of data processing, the short-time Fourier filtering techniques are widely used, but it can not describe the local time-frequency characteristics, So it is very difficult to EMG signal de-noising, mainly because the EMG signal has the characteristics of non-linear and non-stationary .
Since the 1980s, the French geophysicist Morlet proposed wavelet transform, signal noise reduction processing by wavelet transform has been a hot spot.
Experimental Design and Analysis This experiment was choosed the Trigno wireless acquisition system of 16 channel which was produced by American DELSYS, the data sampling rate was 2000Hz, the bandpass was 10~500Hz, and the 50Hz frequency interference was removed, the gain was set to 300.
The signal which was collected by electrode was passed conditioner to amplification, filtering and A/D conversion by the data acquisition card, then was uploaded to your computer in order to get a the filtering signal by EMGworks software, then imported it to matlab7.0 software to simulation analysis after discretization.
Compare the data in Table 1 can be seen, μ rhythm threshold method is superior to the other two methods, it is more effective application in EMG signal de-noising.

Fig. 4 include all related records as a drawings data came from distributed multimeters, the reads cover different case with suitable range of dc input voltage which came from the meeting point of diodes connection of the switching supply and DC power supply, from data and the related drawing in the Fig. 4 that fixed zeners voltages for range of Vdc input, It explains the charging current level around the current value of 34mA for rechargeable battery, and It explains the controlling of the level of charging current came from the designed value of resistor and the effect of the base emitter voltage, by same principle the recorded data of the charging current (XMM8) in mobile devices battery not pass more than 100mA.
Simulation Data for the Charging Circuit, the Charging Current, and the Controlling Voltage Implementing the Design The design is a PV-based (3W, 18V) energy system for mobile applications.
Hangos, Reduction of power losses with smart grids fueled with renewable sources and applying EV batteries, J.