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Data analysis CMCC is a typical enterprise with data intensive, holding vast amounts of smart phone sales data.
Data District The main sales area.
Then removed all the irrelevant data.
Hence the subsequent research should focus on the use of data mining and data warehouse technology, in order to more effectively support data analysis.
ST-DBSCAN: An algorithm for clustering spatial–temporal data, Data & Knowledge Engineering, 2007, 60(1): 208-221

From electrical data it was observed that the electrical resistance decreased with bias current indicating the alignment of spins and increase in spin stiffness coefficient and decreasing the resistance at metal-insulator transition temperature (TMI).
The electrical resistivity of all samples were measured in the temperature range of 300K-423K and bias currents of 1-50 mA and the data was collected in the heating mode.
Results and discussions: Structural properties: X-ray diffraction (XRD) measurements of all the samples have been carried out and the data were analyzed with JCPDS data.
As the sintering temperature increased, the grains becomes larger and resulting a substantial reduction of grain boundaries.

In this article, the typical phenomenon of bed armoring was firstly summarized based on both the field and experiment data, and then followed by the analysis on its internal influence on the reformation process to the balance status for the gravel-sand rivers.
In this article, the typical phenomenon of bed armoring was firstly summarized based on both the field and experiment data, and then followed by the analysis on its internal mechanism and effect in the reformation process to the balance. 2 Phenomenon of bed armoring The phenomenon of the bed armoring in gravel-sand rivers is generally caused by the chosen of the flow, whose consequence is that the finer sediment particles will be washed away and the coarser ones will be gathered on the river bed surface.
By judging the field and experiment data, as shown in fig.º2, it can be seen that the starting velocity will be proportional to the particle diameter when it grows to some extent.
It can be seen that the growth of the diameter will produce a bigger resistance, thus followed by a reduction of the flow velocity.
Another empirical formula of the average section flow velocity derived based on plenty of field and experiment data by Changjiang River Scientific Research Institute can be written as[6]: (2) In Eq.º2, D50 is the median particle diameter of the particles above the river bed surface, whose weight percentage of the particles, smaller than this diameter, is 50% and k is the empirical parameter.

The results are compared with experimental data and previous research works.
Fig. 3 provides the comparison of chloride diffusivity of this analytical formulation and experimental data of Van Dalen [9].
The analytical formulation as proposed in this paper shows good agreement with experimental data approximately.
In this figure, it is clear that the densification of the microstructure of concrete due to ongoing hydration of cement should lead to a significant reduction of the chloride diffusivity of concrete.
It is clear that carbonation can influence on diffusivity of concrete greatly. 0 5 10 15 20 25 30 35 40 1 10 100 1000 Time (days) Chloride diffusivity w/c 0.45 w/c 0.50 w/c 0.55 [1E-8 cm 2 /s] Fig. 2 Chloride diffusion coefficient of concrete 0 5 10 15 20 25 0 50 100 150 200 Time (days) Chloride diffusivity Exerimental data This study w/c 0.50, OPC [1E-8 cm 2/s] Fig. 3 Comparison of calculated and measured D (in concrete) 0.58 0.60 0.62 0.64 0.66 0.68 0.70 0.45 0.50 0.55 w/c ratio Dc / Dnc 5 months Fig. 4 Dc / Dnc with w/c ratio Summary The chloride diffusivity is of particular important material parameter for calculating the service life of marine concrete.

A good correlation, in terms of microstructural analysis, between the simulation data and the experimentally obtained results was obtained, confirming the reliability of the model.
Finally, results of the simulations are compared with experimental data.
Figure 1 Internal set-up of the centrifugal induction furnaces Boundary and initial conditions have been chosen based on available experimental data.
Figure 6a reports the results of the mathematical model, while the experimental data are shown in Figure 6b.
A good correlation, between the simulation data and the experimentally obtained results has been obtained, confirming the reliability of the model.

To standardization of smart grid information architecture, this paper analyzes smart grid conceptual reference model, propose smart grid hierarchical information architecture, including grid equipment layer, communication gird layer, data storage layer and data application layer.
Data storage layer provide data storage, integration, access functions that cross partition, cross system.
The information access can use event driven or message bus mode, avoid a large number of data retrieval.
Data application layer realize the advanced analysis and control functions.
Address this demand, this paper propose a information architecture of four layers, including grid equipment layer, communication infrastructure layer, data storage layer and data application layer.

Sorption data on soils were well fitted with Freundlich model (R2 > 0.98).
Data on the sorption of Acetazolamide on soils are presented in Table 2.
Kinetic modeling Data were analyzed by fitting them to two simple kinetic models: pseudo-first- and pseudo-second-order models.
The pseudo-second-order model fitted sorption kinetics data better than the pseudo-first-order model.
The sorption data can be useful in predicting risks of potential Acetazolamide through the understanding their fate in natural environments.

All these data were used to determine the anisotropic coefficients.
The results were compared with experimental data.
Thickness reduction of steel sheet is desired due to lower fuel consumption.
The Yld2000-2d yield function agreed well with experimental data for both flow stress and r-value.

In the end, the validity of the simulation platform is confirmed by the data comparison with the laboratory experiments.
There are various kinds of faults in distribution network, which may directly result in power outages, reduction of power supply reliability, damage of power equipments and even electrical fires.
The field experiment is the more close to reality, whose data is the most accurate and reliable.
By using the computer and software, the power distribution network can be simulated to the greatest extent and the authenticity of the data is not worse than the laboratory experiments.
Simulation In order to make comparison with data obtained from 10kV high-voltage lab [11], the simulation parameters in this platform are as same as the 10kV high-voltage lab settings: (1) The all line-to-ground capacitances are 11.124μF, and the total capacitor current is 20.177A; (2) A-phase of the 1st feeder grounds.

Mathematical model contained pose errors which converted cutter location data into machine motion coordinates was established based on inverse kinematics and the analytical solutions of NC code were derived.
Cutter location data is converted into motion coordinate of each axis based on the specific structure of machine tools by postprocessor and processing program is generated according to the control instruction format [6].C.H.
The relative orientation and position of the cutting tool with respect to the workpiece can be determined by multiplying the corresponding fundamental transformation matrices in series, and should be equal to the known CL data, [Kx Ky Kz 0]T and [Qx Qy Qz 1]T, respectively[7, 8 and 9].
The mathematical model which converts cutter location data into machine motion coordinates was established and analytical solutions of NC code were derived.
As a result of no approximate reduction, the post processing method is also applicable for the non-orthogonal table/spindle-tilting type 5-axis machine tools and has guiding significance for manufacturing of machine tools.