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The pH value(negative logarithm of hydrogen ion concentration)can indicate the acidity directly and the Pe value(negative logarithm of the electronic activity)shows oxidation-reduction property of the water environment.Water-quality indexes—pH and Pe used together can well reflect the actual situation of oxidation-reduction reaction in the water.
The PH value of over 80 % water samples is within the scope of 7.75 to 9.25,which fully shows that the water environment of Wuliangsuhai lake presents weak base. 2.2 Analysis of environmental temperature By analysing the monitoring temperature data of 101 water samples, we found that the maximum temperature is 30.5, the minimum is 13.2 and the average is 20.87.
The variation range of temperature was large from may to October in 2006. 2.3 Oxidation-reduction analysis of environment Figure 2 Concentration of total phosphorus, soluble phosphorus and suspended phosphorus from may to October in 2006 5mon 6mon 7mon 8mon 9mon 10mon water sample The essence of oxidation-reduction reaction is the transfer or gain and loss of electron between oxidant and reducing agent.
With pe increasing , the relative concentration of electron at oxidation state heightens; with pe decreasing , the relative concentration of electron at reduction state heightens.
The pe value of oxidation - reduction system can be calculated by formula with redox potential (Eh),but redox potential was not determined during experiment.

The readings from string pot and the load applied were collected through a Ni Compact Rio Data acquisition system with a sampling rate of 10 Hz.
The PDF curves were developed based on the test data obtained from multiple cracks on the specimens at different corrosion levels over time.
A linear regression analysis was performed based on 50 test data points including two uncorroded steel bars.
The small data scattering based on the critical cross-sectional area loss is attributed to the unintentional eccentric loading during the tensile tests.
The slight scattering of test data around the linear relation between the loads and the critical cross section loss is attributed to the load eccentricity.

The system can provide for a safe and effective collection of the relevant data about sludge treatment and disposal.
Besides the above characteristics, the whole process chain managerial strategy of sludge treatment and disposal can collect the data for all aspects and stages and to meet the requirements of data reporting system.
As is shown in Figure 2, the data platform of sludge treatment and disposal collects the data from the WWTPs to the final disposal, including the amount of predicted sludge in WWTPs, sludge production, transportation, and disposal, etc.
The operating diagram of data platform of sludge treatment and disposal The data platform of sludge treatment and disposal is an effective system that can be used to manage and guide the planning, track the problem for short-term, and adjust the ability for long-term.
The data platform of sludge treatment and disposal collects the data from the WWTPs to the final disposal, including the amount of predicted sludge in WWTPs, sludge production, transportation, and disposal, etc.

Results obtained from the kinetics data were analyzed using the STATISTICA 6.0 software (StatSoft Inc., USA)
Experimental data were correlated with the Eq. (1) and considering the equilibrium values given by Eq. (2).
The average percentage mean relative deviation among experimental and correlated data was 7.5 %.
The average percentage mean relative deviation among experimental and correlated data was 6.4 %.
The average percentage mean relative deviation among experimental and correlated data was 5.8 %.

Therefore, to deal with these massive data the feature extraction becomes extremely critical in order to keep the data interested and reduce its dimension.
When data system is high-dimensional and severely non-linear, the method becomes ineffective.
To evaluate the performance of dimension reduction, some researchers proposed residual variance according to Input/Output mapping quality, and that is the description effectiveness of the original data in higher dimensional space.
Nonlinear dimensionality reduction by locally linear embedding[J].
Locally Linear Embedding for dimensionality reduction in QSAR[J].

Fig 1 Distribution of energy consumption of data centers [7] 2.
Topology of data centers At present, the number of servers in data centers exceeds 100,000 [8], causes challenges in the design of interconnected network architecture.
Fig 2 Architecture of a three-tier high-speed data center [9] Servers are the main components of data centers that are carry out tasks.
Fig 4 illustrates the most effective settings on the data center.
parameters amount Data center Architecture: three-tier high-speed Power Mgmt.

Supporting performance data are presented.
Figure 6: EDX data for wafer edge.
Electrical and defect data were collected for a 12-month period in the fab.
Figure 11 highlights the defectivity reduction and corresponding significant increase in prime die (device) yield.
Furthermore, it enables a significant reduction in the total number of defects observed and a corresponding increase in die yield without loss of device performance.

Data Source Data were collected, in part, through interviews and site visits at local enterprises recommended by the china building materials academy.
The data of production was obtained from empirical data.
Most of the transport distance data were obtained from the survey.
Therefore, systematic, quantitative evaluation of the quality of the data may help researchers to choose the more reliable data source .On the other hand, it can provide a better understanding of the reliability of the data and the results.
The data were obtained from a typical enterprise.

Range analysis of the relative importance of those four factors on the mean weight loss rate for the reduction of synthesized Fe2O3/Al2O3 with 50 vol% H2 indicated that the most influential factor was Ф, sintering temperature, Rw and ignition temperature in the descending order.
Generally, different phases were enclosed for OED method, which were identification of the experimental objective, design an experimental system, determination of the suitable factors and levels, selection of the appropriate orthogonal array (OA) and assignment of the factors at their levels to the OA; analysis of the experimental data and determination of the optimized parameters and finally verification of the optimal design parameters through confirming experiment.
And the reduction characteristics of the synthesized Fe2O3/Al2O3 composites by different methods with 50vol% H2 was shown in Fig.2.
Meanwhile, different from the single-step reduction for Fe2O3/Al2O3 (SGCS) with 50vol% H2, the reduction of Fe2O3/Al2O3 (SG) and Fe2O3/Al2O3(MM) were two-step reactions and bigger duration were thus needed to fully transfer the lattice oxygen inherent.
Reduction characteristics of Fe2O3/Al2O3 synthesized using different methods 4.

Reduction in bar diameter leads to a lower resistance, which can result in brittle failure of the bar.
The reduction percentage in reading is about 7.7%.
Based on the statistical analysis of the data obtained from the experimental tests, empirical equations that can fit the relationship between destructive and nondestructive tests were obtained. 5.
Due to steel corrosion, the reduction percentage of the manual rebound hammer reading was about 7.7%.
XLSTAT, Data analysis and statistics with MS Excel.