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And the evaluation of the ternary system agrees better with experimental data, which is used in this study.
On the contrary, the phase fractions based on the FEDA database are in better agreement with experimental data at 720, 740, 760 and 780℃.
During the optimization of the Fe-Al-C system [14], the A1 data which Li used to optimize the Fe-Al-C system are given more weight than A3 data.
Then A1 values of Fe-Al-C ternary compounds agreed better with the measured data according to Li.
But at higher temperatures the calculation results still deviate from the experimental data, as shown in Fig. 4.

Therefore, the decline in the price of Polysilicon is the key to PV cost reduction.
Data Collection.
Since most of our Polysilicon industry depends on importing raw materials from abroad, we chose the international market's data from the end of 2003 to the middle of 2010, and the data is acquired by every six month.
The historical data presented at the following table[3]: TABLE II.
Gray prediction (GM (1,1)) model: Note that the period of Polysilicon raw data sequence , 1-AGO sequence generated , Note .

The statistical methods that summarise a collection numerically or graphically data is called descriptive statistics while the inferential statistics model is the pattern data that permits randomness and uncertainty in the observations.
Signals were fed into a data acquisition system on a PC and were sampled at 50 kHz.
All real-time signal data are then transferred to MATLAB.
Clearly, the space scattering of the signal data distribution tend to shrink from 8.35 x 10-12 to 3.05 x 10-12 as shown in Fig. 3.
It was found that, the wear severity will increase with a contraction of data distributions.

Its application greatly improved the work efficiency, and speeded up the data collection and information processing.
It is very suitable for automatic identification and data collection[1].
PDF417 barcode has three data compression and encoding modes (byte coding mode, number coding mode and text coding mode) to convert the original data into code word of 0~928.
The preprocessing steps include graying, smoothing and noise reduction, image binarization and tilt correction.
Pixel grayscale in grey image is indicated by a 8bit data which is in between 0 and 255, 0 means black, 255 means white.

With this approach we are mainly concerned with the mathematical fitting of hyperelastic constitutive equations to experimental data.
In Fig 1 and Fig 2 are visible the uniaxial and volumetric experimental data, respectively.
Fig. 1 - Uniaxial compression data (T=23ºC) Fig. 2 - Volumetric compression data (T=23ºC) Is visible in the previous figures the CPGC non-linear behaviour and the increase in stiffness resulted from the cork incorporation.
The material parameters Di are calculated from data obtained in a volumetric compression test.
Fig. 6 - FEA correlation with compression experimental data Fig. 7 - FEA correlation with volumetric experimental data FEA results discussion.

Selection should be based on the data and knowledge of critical parameters.
Smart sensors are one of basic sensing elements with embedded intelligence, capable of networking among themselves and with higher-level systems to provide both process data and data validity qualifiers to assess the health of electronic systems [3].
WSNs generally consist of a data-acquisition network and a data-distribution network monitored and controlled by a management center.
The advantage of WSNs is that they allow data from multiple sensors to be combined or fused to obtain inferences.
This is referred to as multi-sensor data fusion.

The data will not have any impairment to meet system requirements [3].
Finally, it transmits the data to PC through SCI, at the same time, realizes the functions of thickness data display and error alarm.
After the conversation, the data are transmitted into the CPU for processing by 16-bit data bus.
It will get the digital signal for noise reduction and filtering.
The main control chip TMS320F2812 implements the effective processing of steel plate thickness data.

The calibration data was obtained using the thermocouple used for this experiment.
Next, we compare experimentally obtained data to the “exact” solution from the “idealized analytic model”.
The sampling rate used in the data acquisition system was 10,000 Hz.
Analytic model result Experimental data Analytic model result Experimental data Fig. 6: Experimentally acquired thermocouple data and analytic model results.
That is, overlay the analytically continued approximation over the acquired temperature data.

The results obtained in the welding environment by performing remote measurements based on PM (particulate matter) analysis, sensor data and received signal strength (RSS) have shown that it is possible to detect the areas affected by fumes and with improper climate conditions, to track hazardous objects and to control operations in real-time.
A mote can provide data containing all these parameters.
In Fig. 5 the WSN is formed from 5 such nodes which communicate data regarding humidity, temperature and light from sensors to the gateway (GW) in real time.
In the context of unpredictable transmission medium [7] such as an industrial environment, unreliable data communications and distance estimation are common issues that are addressed in order to perform precise tracking of moving (hazardous) objects and to develop proper strategies to deal with interference, attenuation and multi-path that affect the network performance.
Conclusions Based on the experimental measurements it was possible to determine: - the areas affected by the fumes from welding processes (PM2.5 and PM10 data); - the areas with improper work conditions (sensor data); - the mapping of the transmission medium (RSSI data); -the impact of in-band interference; - location of hazardous objects (RSSI data); - the measures necessary to reduce dust particles concentration (ventilation) and improve environmental conditions (climate control and lighting).

Regarding the grain boundary self-diffusion in nickel, a large amount of scattered data and discrepancies related to incorrect application of diffusion regimes can be found in the literature.
In the present paper we undertake a systematic diffusion and microstructure study to understand the reason for the diffusion data dispersion.
The obtained data were further analyzed in terms of the CSL model.
In the process of data evaluation, only the profile tail was smoothed.
Kozma: Handbook of Grain and Interphase Boundary Diffusion Data (Ziegler Press, Stuttgart 1989)