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An important problem is the choice of an optimal analysis for obtained images that should correspond with the character of obtained data.
Not all equipment mentioned in the figure must be used for an analysis of data from production.
Analysis of data The image analyses are realised using Matlab and LabView software.
The analysis is standard and data from the images are obtained every 0.3 seconds from 3 positions along a stream.
The data are sent to the control unit, where robot trajectories are computed.

The paper shows an algorithm describing a harmonic linearization method which allows for a significant reduction of the calculation time.
Software which allows obtaining data on surface waviness parameters is described.
(4) Analytical expressions for the calculation of the components Pz and Py, were approximated by the experimental data with the help of the least squares method for steel 40H.

The models used, simulate relevant acquired data and predict conditions for best membrane reactor and process operation by variation of key intrinsic parameters [1, 5-7, 9, 11, 16].
The models utilize also kinetic data of the reactions (1) and (2) as these were reported earlier [1, 5, 9].
Figure 2: Permeability data versus average transmembrane pressure at 35◦C, for alumina nanomembrane reactor tubes modified catalytically with Ni based catalyst.
Figure 2 above, shows extensive permeability data via the catalytically impregnated alumina membrane nanotubes, for the reactive and inert gases of the reactions (1) and (2) above.
Figure 3 shows pressure variation data in the upstream of the membrane reactor while conducting reactions (1) and (2) above.

Software upgrading and maintenance can be realized through COM technology applying plug and play (pnp) method, by which cost reduction, improvement of productivity can be achieved.
Fig.1—General structure of MESAS system Data Loading Component connects data files of certain standards according to MESAS system.
Data Conversion Component processes data and has it meet the random modeling algorithms.
Grid Coarsening Component calculates gridded data object generated by the components mentioned above.
Data Statistic Analysis Component conducts histogram analysis of the space distribution of sedimentary facies and physical properties, and then explains their statistical properties.

Data are means ± standard deviations of three independent experiments performed in triplicate.
Data shown represent the average biofilm thickness ± standard deviations of three independent experiments.
Contrary to the previous reports, our data didn’t show any benefits of DLC over the plastic (positive control) in term of inhibition of Candida biofilm formation.
Unlike previously published data, all these factors were studied carefully, and all prospective variables were taken in to consideration.
XTT data supported with confocal microscopy images confirmed the growth of biofilm on DLC and proved that under physiological conditions DLC supports candida biofilm growth just like PVC.

Hannan, The Effect of Nitrogen Plasma Treatment Process on Ohmic Contact Formation to N-Type 4H-SiC, Diffusion and defect data, solid state data.
Assisted in data analysis from material characterization. 8.
Assisted in data analysis from electrical characterization. 10.
Assisted in data analysis from electrical characterization.
Assisted in data analysis from electrical characterization.

Such a choice can be envisaged because the residual Pu is of very poor quality following the large reduction of the fissile isotopes (239Pu and 241Pu).
The reduction of the Pu inventory has to be performed in an economical, ecological, safe, proliferation resistant and sustainable manner.
First, the reduction in actinide inventory helps to achieve this goal.
Data from: ■ Kovalenko et al., 1961,[16]; ● Adair et al., 1961 [17]; ▼ Pouchon et al., 2001 [18], ▲ Egberg et al., 2004 [19], ♦ Michel, 2005 [20].
Solubility of monoclinic zirconia and oxy-hydroxide precipitate as a function of total carbonate concentration comparison of experimental and computed data for pH 8.

Sampling and Data Analysis Through the course of the experiment, 20 fish were taken from each pond monthly and their length and weight were measured to assess the growth.
The logistic model was fitted to fish growth data with non-linear least squares (nl-LS) with iterations by means of Marquardt’s algorithm, using MATLAB v. 7.4.0.287 (MathWorks Inc., Novi, MI; http://www.mathworks.com).
The wetland reduction efficiency of 5-day biochemical oxygen demand (BOD5) and chemical oxygen demand (CODCr) were 70.4% and 49.2% respectively.
The overall reduction efficiency of total ammonium nitrogen (TAN), nitrite nitrogen (NO2--N) and nitrate nitrogen (NO3--N) were 53.7%, 64.7% and 5.6% respectively.
The wetland reduction efficiency of TP and IP were 20% and 33% respectively.

According to the data analysis of steel product supply and demand in Taiwan, the annual waste acid output in Taiwan is more than 1 million tons.
Most existing methods or processes have poor hydrochloric acid reduction effect, or the byproducts have low economic benefit.
Integration of US Patent No. 5562828[5] and foreign and domestic patent and journal data[6 - 14].
Reaction time: ORP (oxidation-reduction potential) detection, controlled within 2~3.5 hours, to form ferrite recycled product (Fe3O4).
Reaction time: ORP (oxidation-reduction potential) detection, 3~5 hours reaction is required to form goethite process powder (γ-FeOOH). 5.

For verifying the tendency of data series, monotony trend, namely Kendall inclination, should be calculating:
Data series of annual precipitation and 5-year-moving –average precipitation were listed in Fig. 1.
Further mathematical analysis in Table 1 shown that data series of annual precipitation fell short of normal distribution, and the deviation coefficient was 0.54, thus, Mann-Keddall method is suitable in this study.
Monthly precipitation data in Fig.2, Table 2 and 3 shown that most rain fell between March and August，the rainfall in these month was about 70% of the annual rainfall.
is the runoff coefficient. is the seasonal reduction factor.