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In traditional clustering algorithm, similar data is clustered into the same category based on some regulation, but in the problem of optimization grouping of capacitors, the clustering should be done under the constraint that the total compensation capacity is determined.
(5) Where vi is the clustering centers; M is the number of clusters; n is the number of clustering data; uij is membership matrix, i.e. the membership of the jth data xj belonging to the ith class; m>1 is fuzzy exponent.
By real-time data acquisition of reactive power Qth of high voltage side of transformer and bus voltage vt of low voltage side, determine the position of transformer tap and the switching of capacitor groups according to the different control strategies of the nine areas in order to make the voltage qualified and reactive power balanced basically [11].
Sampling interval of load data was 5 minutes, the total number of sampling points is 288.
Reactive power operational control simulation results show the validity and feasibility of segmentation-clustering method for loss reduction and power factor improving.

Load-deflection data from the test for static flexural strength was used to calculate the toughness index.
The deflection data was also provided as the closed-loop control signals (0.05-0.1 mm/min) during the test.
Fatigue equation Upon the data given in Table 8, the fatigue equation can be setup.
From the correlation coefficient R 2, it can be seen that the regression fatigue equations agree with the test data well.
The double-logarithmic fatigue equations regressed agrees well with the test data for various mixes.

There is limited data on the environmental impacts of CEBs.
Figure 1 shows data the environmental impact of the various additives discussed above.
As such the data presented should be considered indicative and approximate rather than absolute.
Data from various sources was used for the analysis.
There remain concerns over the variability of this data and the allocation of embodied energy and GWP.

While standing wave heat engines are inherently smaller, a reduction in size could be considered which may involve curvatures as compared to the straight tube conventional systems.
The latter gives velocity data over a large area which is favorable in thermoacoustic experiments.
Twenty sets of data were collected each for before and after the curvature 0.5 seconds apart.

Fig. 4(a) shows the raw data, which apparently include servo oscillation of X axis with 0.2 μm amplitude and 0.06 second cycle.
Thus, application of the MA filter was necessary to clarify the data.
Fig. 4(b) shows the same data with 10-points MA applied, in which the quadrant protrusions are more distinct compared to the raw data.
Note that for all of the following data, the same filter is applied.
Our future work will be to construct a method to fully utilize such gathered data to optimize machining parameters.

A common quantitative method, Rietveld refinement method was selected to analyze the X-ray diffraction (XRD) data [8].
Rietveld refinement method was used to analyze the collected data via Highscore Plus software, equipped with the JCPDS database.
All diffraction data was analyzed further by Rietveld refinement method to obtain crystallographic data involving lattice parameter, crystallite size and crystal structure.
The goodness of fit (GOF) were obtained represent the quality of refinement data.
Table 2: Crystallographic data for Ba(Ce1-xZrx)0.95Yb0.05O2.975 after Rietveld refinement.

The experimental curve and the data When the metal is in the plastic deformation, there is a certain functional relation among its deformation resistance, the deformation degree, the strain rate and the distortion temperature.
(1) In this formula: In order to decide the coefficients, the following data are needed: When, ; When, ; When, ; Formula (1) needs to solve 6 equations, after the simplification, we can get: (2) In the formula: ; ; ; ; ; ; ; ; In order to decide the value of under any conditions, i.e. , we need to integral , , , and .
But the calculated results indicate that under the condition of, according to formula (3) we get the value which satisfies is different from the experimental data.
So when we decide the data according to formula (3), under any conditions, i.e. , we must take reference to the values of , and .
When, the curve of is in down cross along with the reduction of ().

Solar cars are different from traditional cars, and the domestic data related to solar cars is relative less.
In view of the actual average speed is 80 km/h [1, 2] and the fact that power solely rely on solar panels and batteries, the reduction of wind resistance coefficient of solar cars will determine the result of the competition.
Fig. 2.1 The CAD design of the solar car prototype Tab. 2.1 The contour data of the solar car prototype Length of contour（mm） Width of contour（mm） Hight of contour（mm） Track width （mm） Wheelbase（mm） 4800 1800 980 1335 1965 3 The Numerical Analysis of Body Flow With full digitalization design getting mature in the computer application, the flaws of the test vehicle in the wind tunnel are effectively solved.
This paper will use computer software to describe the application of air dynamics in car body theoretically and carry on a computer simulation test based on theoretical data to analyse the results.
In spite of the wind resistance coefficient is not as small as the highest level solar car prototype in the world, the data is relatively good.

Various thematic maps were prepared for the factors that influence groundwater such as rainfall, soil type, land use, slope and geology using satellite imageries, toposheets and data from Government and other organizations.
Pandey and Singh [4] developed an integrated Remote Sensing and GIS based methodology and tested for the evaluation of groundwater resources using IRS-LISS-II and LISS-III data along with other data sets to extract information on the hydrogeomorphic features of this hard rock terrain.
Data used and Methodology The Rainfall data for the study area was collected from the Public Works Department, Thanjavur.
Merged geocoded data of IRS P6 and IRS 1D (LISS IV and PAN Sensors) for the year 2004 in 1:50000 scale was acquired from National Remote Sensing Agency, Hyderabad to derive land use map of the study area.
The data gathered about the slope in the study area is fed into the ArcMap GIS software and a TIN map was created using which slope is generated using the same software.

Langmuir and Freundlich isotherms were studied and the equilibrium adsorption data was found to fit well with the Langmuir isotherm model.
The experimental data fitted better to pseudo-second-order kinetic model than pseudo-first-order kinetic model, based on high R2 for pseudo-second-order kinetic model.
The Langmuir isotherm model gave better fit to the experimental data than Freundlich isotherm model.
Langmuir isotherm model fitted the experimental data better than Freundlich isotherm model.
The pseudo-second-order kinetic model fitted the experimental data well, indicating chemical adsorption of Ni(II).