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It is easy for people to complete the computation whether data is regular or not [4].
The model essentially accumulates raw data to generate regular column.
The GM(1,1) model is as follows: Data Processing.
We can obtain new data columns by accumulating original data columns
This model can simulate data more accurately.

They recommended testing at R-ratios of at least 0.5 to get data that is less sensitive to residual stress effects, and outlined a procedure for normalizing the data using an effective stress intensity approach to eliminate residual stress effects from the data.
John and Jata [20] confirmed those findings, and recommended using middle crack tension coupons for the development of engineering design data.
Crack length was monitored using a Fractomat™ data recorder, with automated data collection after 0.1 mm of crack growth.
Data points are the average of multiple measurements taken from one representative sample.
(L-T) parent material test data.

The main idea behind high concentration was to achieve cost reductions through saving in semiconductor utilized.
As a comparison, flat-plate PV targets cost reductions through thinner PV layers and lower cost of the PV material used itself.
Module temperatures were measured by thermocouples and recorded by Agilent 34970A data acquisitioning system.
These data were measured every 30 seconds.
Weather data such as wind speed and direction, atmospheric temperature, humidity, global solar radiation were also measured every 30 seconds.

The data of mortality are analyzed by Trimmed Spearman Karber (TSK) version 1.5 from EPA, the data of osmoregulation are analyzed by variant analysis with SPSS version 16.
Characteristic of disruption due to the changes in the quality and quantity of water is a reduction species of fish in the population.
Osmoregulation data are tabulated in the table and calculated the average and standard deviation.
To determine the normality of data distribution, we used Kolmogorov - Smirnov test (Test Distribution) and when the data has a normal distribution then followed by one-way ANOVA test .
Water quality data observed every 24 hours during the study.

Spermiogenesis index was calculated and data analyzed by Mann Whitney NPAR test.
We analyzed obtained data with the Statistical Package for Social Sciences (SPSS, version 13), NPAR test of Kruskall Wallis and Mann Whitney U test.
Analysis of data for spermiogenesis index showed only a statistically significant difference between the six week experimental and control subgroups (p<0.02, Table 1).
Table 1: Comparison of the obtained data between experimental and control subgroups after exposure to solder fumes.
Data reported as mean ± SD, *p<0.02.

The two digital signals can be processed by data sampling module of FPGA to obtain the necessary data, then the data is sent into Nios II CPU.
The Nios II CPU receives the instructions of the computer by USB data transmission module, then according to the instructions to control the data sampling module and send the data to computer by USB.
Data Acquisition Circuit design of Detection System The main hardware circuit of system is FPGA embedded data acquisition module and Nios II CPU, which are used for data collection, read and transmission.
In order to improve the efficiency of data transmission, the data transmission line and control line is separately designed, the USB data transmission module control the CPU module of NIOS II by serial port.
When the data on the USB bus deformed, the USB agreement can check the data transmission error and automatically require retransmission, therefore, the data accuracy in transmission process can be guaranteed.

Finally the calculated data and actual would be compared and found that at sampling number is 25, the tolerance from actual yield is less than 3%.
Finally all data will to be compared.
The data will be derived from the diode characteristic at forward bias.
Once we gathered the I-V and C-V data at forward bias, and derived from Eq. (5) to Eq. (7).
Finally these yield data would be compared with actual yield.

Furthermore we present first data on a further improved texture that allows reducing the reflectivity drastically.
We therefore present data on a commercially available chemistry/process (SelTex 6.5 / Textur+) and on ongoing development of the next generation texture tackling the challenges above.
Out of these wafers full solar cells could be manufactured giving electrical data with which the potential of the mixture can be evaluated.
This reduction in defect etching leads to a decreased wafer loss as shown in table II.
Table I: Average electrical data from cells produced with the UKN chemistry or with SelTex 6.5.

Though sampling, 15G original data had been obtained.
(3) Set attributes of volume data, add transfer functions of color and opacity
In order to realize data exchanging between ReImpeller3D and grid processing, numerical simulation, CAE software and CAM systems, this program need matched data input, output interfaces, the data conversion interface of ReImpeller3D is shown in Figure 8 which can great expand its using range and versatility.
Object data acquisition in reverse engineering.
Data reduction methods for reverse engineering: Internation Journal of Advanced Manufacturing Technology. 2001, 17(10): 735~740

College of Nanoscale Science and Engineering, SUNY Albany, 255 Fuller Road, Albany, NY 12203, USA aypan@gelest.com; bexecutiveoffice@gelest.com; cEEisenbraun@uamail.albany.edu dAKalyoeros@uamail.albany.edu Key words: Long-Chain Organofunctional Silanes, Hydrosilylation, Substition, Reduction, Surface Derivatization, Monolayers, X-ray Photoelectron Spectroscopy, Reflection-Absorption Infrared Spectroscopy Abstract.A series of organofunctional long-chain alkylfunctional silanes have been synthesized for the purpose of derivatization of micro- and nanoparticles and generation of molecular monolayers and films on the substrates. 11-bromoundecylsilane and 1, 10-disiladecane are evaluated to interact with a variety of clean hydrogenated metal and metalloid including titanium, silicon and silicon dioxide.
Reduction of 11-Bromoundecenyltrimethoxysilane with lithium aluminum hydride22 in THF results in the formation of 11-bromoundenceylsilane, compound 7 without any complication.
The method of preparation of 1,10-disiladecane, compound 8 is analogous to the preparation of 11-Bromoundecenylsilane, this is the reduction of 1,10-bis(triethoxysilyl)decane with lithium aluminum hydride in THF.
The X-ray photoelectron spectroscopy (XPS) and reflection-absorption infrared spectroscopy (RAIRS) data indicate that self-assembled monolayer has been well formed on gold, titanium metal and silicon wafer, minimally on silicon-dioxide.