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(2) IGS Prediction Model The original data sequence of the known agglomerate composition is .
The mean operator is introduced to smooth the data.
After smoothing the data, we can get the sequence.
is the corresponding coefficient of the model, which reflects the varying relationship between the data.
IEEE Transactions on Knowledge and Data Engineering, Vol. 17, no. 11 (2005), p. 1465-1477

The analysis of tool bit cutting performance becomes a necessity in order to provide basic data for machine selection, design and performance prediction.
When this force exceeds the strength of coal, then a coal fragment or chip is produced with immediate reduction of pick force.
Investigation and analysis The primary data related to coal and shaper machine are given in table no. 1.
The following table were drawn using experimental data.
Table 1: Available data Weight of coal 4.862 kg Stroke length 5 inch = 12.7 cm No. of stroke per minute 24 Cutting surface of coal 23x13cm2 Dimension of specimen 23x13x12 cm3 Time of forward stroke 1.4 sec Time of backward stroke 1 sec Table 2: Experimental data of weight removal at different depth of cut when tilt angle is 0° S.

Prause(1999), Kiersti Asa & Ingrid Hobck Haft(2005), McNeil (2005) and WENBO HU(2005) had confirmed that generalized hyperbolic distribution has better performance to fit finiacial data[4][5][6][7].
When ,we obtain Normal Inverse Gaussian distributio(NIG) (2) When ,we obtain hyperbolic distribution(HYP) with the following density (3) Experiment Data and Parameter Estimation The data studied consists of the daily log-returns, which were calculated by,where is the close price of Shanghai composite index(Shindex).The start date of the sample is 2000-1-4 and the end is 2011-8-31.
Otherwise, the current point remains unchanged, and the mesh size will be doubled the size reduction to reduce the search range.
The distribtion of financial data is usually typical sharp-Kurtosis and fat-tail, so and are not suitale for financial data.
Generalized hyperbolic distributions and Brazilian data.

The in-situ partitioning data presented here were collected at approximately 1 minute intervals from the back-scattered bank of detectors located at 168.33°.
Corrections to lattice parameter data for thermal expansion effects were made using published data [10].
Lattice strain data are presented with no correction for crystallite size contributions to peak broadening.
Figure 3 illustrates the specimen temperature calculations, and the thermal expansion corrections made to the raw data to reveal the evolution of lattice parameters with respect to partitioning time and temperature.
The peak austenite carbon concentration as estimated from lattice parameter data is much lower than would be expected if 100% of the alloy carbon content partitioned to austenite.

Measure Definition, Input Data and Uncertainty Sources.
/A, in which the input data are the force Fcor and area A.
Considering that the measure (fcor) is related to several input data, the shear strength (fcor) was denominated the main measure, and the other input data were denominated secondary measures.
Fig. 2 Cause and effect diagram, main measure and input data.
Fig. 3 Main measured, input data and uncertainty sources.

While some grid products have been deployed in some areas, but in practice the performance is still far from satisfactory, so that many groups had to give up this, which did not fully commercial technology, and back to the original data center products, such as clusters or distribution computing platform.
The knowledge grid located above information grid, a grid of high-level applications, mainly completed to explore the knowledge from the underlying data and information.
The goal of cloud computing and grid computing to maximize the reduction of the computational cost, improve reliability, increase flexibility and allows the user to buy the computing power of computing resources on demand.
First, the size of the growing amount of data in today's very large amount of data need to deal with every day difference with the situation ten years ago, the grid appears, has lost its comparability.
Secondly, there are several available distributed data centers worldwide, which contains hundreds of thousands of computers, computing power to meet the amount of computation required by the current data processing may be dispersed and can be completed in many parts of the large amounts of data.

Current situation of the introduction of renewable energies in Japan The current situation of renewable energies in Japan is shown in Table 2, according to data from the Japanese government (the Agency for Natural Resources and Energy)[2].
Anyway, the data shown in Table 2 indicated that there are some structural defects in the design of institutional arrangements.
The authors estimated this value as a national average by using reference data [3], for instance 10.4% for solar power, 25% for wind and 70% for geothermal and so on as a result.
Data of the power capacity : at the end of Feb. 2014 (Table 2) was only 1.7% of the nuclear power and that it will take about 59 years (=288.2/4.89) to replace nuclear power with renewable energies if the same progress situation is maintained (Total power generation data was obtained from the reference [4]).
at home is about 700000[Yen/kW-facility] requiring a serious cost reduction.

Table 1 shows the material data [3,4] used for the analysis.
Table 1 Material data used in the analyses [3,4].
As far as we know, there is no experimental data of lattice friction stress.
Similarly, lattice friction stresses given by the data set P2 are calculated from the hardness with the H2 series of data.
[5] Properties of Silicon, EMIS DATA REVIEWS SERIES No.4, AHMED, H. , INSPEC, )1988*,22

Bayesian Network (BN) is recognized as the powerful tool to support causal inference in situations where the data for analysis suffered with a high level of uncertainty [4].
Minimization - Reduction in the number of hazardous human tasks as few times as possible when it is unavoidable.
As an example, Table 1 shows the hypothetical ASP data of HF over 10 time intervals.
The data are reported cumulatively, showing the total number of ‘occurrences / failures’, Nj and number of ‘challenges’, Mj through the end of each time interval.
It shows that the updated failure probabilities of HF drastically increased for 10 months, as new ASP data are observed and integrated into the analysis.

The comparison of the obtained results with experimental data demonstrates a good agreement.
Comparison of the Effective Elastic Moduli with Experimental Data.
The results of computations of the effective elastic moduli (in the vertical direction) and (in the horizontal direction) for the RVE with taking into account the bridges demonstrate sufficient accuracy in comparison with experimental data (Table 1).
Table 1 Comparison of the computed effective elastic moduli and with experimental data (in the vertical direction), [GPa] (in the horizontal direction), [GPa] FE model of RVE 18.3 15.7 Bonfield W. et al [13] 18.5 9.5 Ashman R.B. et al [14] 20.0 13.5 Turner C.H. et al [15] 20.6 16.5 Analysis of the Stress-Strain State of RVE with bridges for Different Types of Loading.
A comparison with experimental data shows a good agreement with the results of the proposed model.