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As an important basis of retrieving stored data, the design of rowkey will directly affect the efficiency and success rate of retrieving data in HBase database.
By classifying information and encoding the data type in rowkey design by Huffman coding, data type can be effectively bound with the data content in order to provide the efficient solution for class-based information retrieving.
A large part of these data are unstructured data, so many limitations are exposed when using the traditional relational database to deal with massive unstructured data.
These multiple versions of data sort in descending order, so the visitor can access the latest data first.
The rowkey design, offered by OpenTSDB[7],is asked to bind data to a series of labels and timestamp when generating data.

The obtained results show a reduction of about 140ºC in the clinkerization temperature, when a raw mixture with 5% phosphogypsum was used.
Taking into account this possible application, the objective of this work was to evaluate the influence of PG addition on the reduction of the clinkerization temperature and on the physical, chemical and mechanical properties of the resulting cements.
Table 1 Chemical composition of phosphogypsum as determined by XRF (wt %) SiO2 Al2O3 CaO F P2O5 SO3 CO2 LoI 4.9 0.6 31 1.2 1.1 40.1 1.2 11 Loss on ignition (LoI) Table 2 Crystalline phases present in phosphogypsum as determined by XRD (%) SiO2 CaSO4.2H2O CaSO4.1/2H2O CaSO4 K2SO4 KAlSi3O8 CaF2 11.3 46.0 36.4 0.2 3.2 1.8 1.0 DTA/TG data for PG are presented in Fig. 1.
For this amount of phosphogypsum, a cement was obtained with higher mechanical properties, at 28 days, even with a reduction of ~150ºC in the clinkerization temperature.
Derriche, Reduction of clinkerization temperature by using phosphogypsum, J. of Haz.

Primarily because of their high specific strength and stiffness, these composite materials could also be used in Automobiles weight reduction and other applications.
This reduces the generation of greenhouse gases as they are produced during the bauxite processing and alumina reduction. 1.2 Stir Casting Method for Fabrication of MMC’s Fig.1 Stir casting setup Stir Casting is a liquid state method of composite materials fabrication, in which a dispersed phase (ceramic particles, short fibers) is mixed with a molten matrix metal by means of mechanical stirring.
The after tensile test area reduction percentage is 11% higher for microsphere based Al-MMC compared with fly ash based Al-MMC.
Table. 2 Tensile test result comparisons Load Vs Displacement data for Tensile test Data/Sample 5% Fly ash Al-MMC 5% Microsphere Al-MMC Ultimate Breaking Load (kN) 2.81 2.435 Displacement at F max (mm) 4.7 1.2 Maximum Displacement (mm) 5.6 2.5 Area of Cross Section (mm2) 29.62 30.203 Ultimate Stress (kN/mm2) 0.095 0.081 Elongation (%) 4.444 4.4829 Reduction in area (%) 10.769 12.188 Yield Stress (kN/mm2) 0.061 0.074 Yield Stress/ Ultimate tensile stress ratio 0.644 0.924 The yield stress withstanding capability is 17.5% higher in value for microsphere based Al-MMC compared with fly ash based Al-MMC.
The Compression test results of Al-MMC were done by Standard UTM tabulated below Table. 3 Compression test results comparison Load Vs Displacement data for Compression test Data/Sample 5% Fly ash Al-MMC 5% Microsphere Al-MMC Ultimate Breaking Load (kN) 22.63 26.5 Displacement at F max(mm) 4.3 6.7 Maximum Displacement(mm) 8.4 9.1 Area of Cross Section (mm2) 130.54 124.54 Ultimate Stress(kN/mm2) 0.17 0.212 5.

PCA is a data analysis and reduction technique widely used in the method of statistical analysis, which is suitable to evaluate multivariate objectively.
Standard processing of the original data can homogeneity of data set reflected the rate of contribution for each parameter.
Three major data standardization method are data centralization, deviation standardization and data normalization.
Table 2 gives the standardize data of parameters, which calculated by centralizing data from the raw date of parameters with 0 mean and 1 variance.
The data in each row of Table 5 representative the weight of variables for each principal component.

Fawang Ye et al. applied part of the data did some experiment[3].
The experimental data is SASI airborne hyperspectral data which was taken from Xifeng oilfield in southern ordos basin.
At the same time it can reduce data redundancy and data computation.
Resizing a small piece of image data from Xifeng oilfield as the experimental data.
Thanks for their Remote Sensing data and fund support.

The data is collected and storage per 10 minutes once, in units of m/s.
That is to say, the predictive time lasts from 30min to 72h, and the collective data period always per 5min or 10min, and they are all statics prediction based on the historical data.
We choose 67 groups data to predict for ultra short term.
To make the comparation easily, under the condition of the same parameters and the same input groups data of the above data, we predict the wind speed of single turbine.
Secondly, enhance the space continuity through referring the meteorology data.

Under the hydrogen charged, the reduction of strength and ductility of the steel revealed from the ultimate tensile strength value and percent of elongation were observed as the current density increased.
The embrittling effects may alter the mechanical properties and it appears as a reduction or loss in ductility accompanied by degradation and damage on the surface and internal structure.
The tensile properties, such as yield strength, ultimate tensile strength and ductility (% elongation) were determined from the tensile test, while the data on the maximum load and bend angle were obtained from bend test.
The relative reduction in the ductility and strength are presented in Fig. 5.
It is observed that increasing current density causes a reduction in both maximum load value by 16% and bend ductility (angle) value by only 7%.

Compared with the acidic environment, alkali condition resulted in far faster hydrolysis, caused more reduction of fiber diameter and strength.
Temperature (oC) PH value Time (min) 1 90 5 20 2 90 7 30 3 90 10 40 4 110 5 30 5 110 7 40 6 110 10 20 7 130 5 40 8 130 7 20 9 130 10 30 Data acquisition Hydrothermal process: Samples of PLA fiber were divided into 9 groups, which were treated in different temperatures and PH values with XW-2000 series prototype.
To study the diversification of fineness and its impact on the strength reduction, the fineness was tested and the result is shown in Table 4.
Compared with the 8th sample, though the heating time was only 30 minute, but the strength reduction was100%, which indicated that the temperature and alkaline could affect the capability of the fiber apparently.
The test of between-subjects effects revealed that temperature was significant to the strength reduction of PLA fiber.

However, the addition of more than 3 % MgO filler loading caused a reduction in the ferroelectric and dielectric properties of the nanocomposite thin films.
As the percentage of nanofiller loadings increased to 5 % and 7 %, significant reduction in Pr values, 69 mC/m2 and 57 mC/m2, a drop of 22 % and 35 % were observed, respectively.
The agglomerations produced inconsistent surface morphology which led to the reduction of contact area between electrodes.
An abrupt reduction of dielectric constant may be seen as the MgO a loading was increased to 5 % and 7 %.
Prabu, Ferroelectric P(VDF/TrFE) Ultrathin Film for SPM-based Data Storage Devices Solid State Phenomena, 2007. 124-126: p. 303-306

In the second part of the combustion face, reduction reactions are occurred (endothermic reaction), is called reduction zone.
, based on the obtained heat and mass balance calculations data, is carried out as to application of certain blasting interfusion types for effective underground gasification process management.
(10) where: – the average heat flow in 1 m2 of the surface rock walls channel by radiation and convection, J/m2, Sn – the surface of the coal channel, m2, τ – time for coal seam gasification to the coal channel width, s, Qi – the intensity of gasification, kg/s; Q5 – additional heat losses into the environment (unaccounted losses), made on the basis of practical data.
This greatly simplifies the data processing and allows to quickly obtain end-results with a high degree of compliance.
Definition of the Mississippian–Pennsylvanian Boundary in the Lviv–Volyn Coal Basin (Western Ukraine), Based on Palynological Data.