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As a result, a growing number of complex refractory ore resources with the characteristics of low-grade, fine particles and symbiotic complex come into ore dressing and metallurgy industry[1-3].
There is a large number of beach placer reserves in northern Waterfront of Taiwan, between Taitong and Xiu Guluan River mouth.
Mn 0.71 0.39 0.92 MnO Fe 37.36 20.34 48.06 FeO O 31.15 59.20 Total 100.00 Fig. 3 EDS results of analyzed point 1 Table 3 EDS results of analyzed point 2 Element Weight [%] Atomic [%] Compound [%] Chemical formula Mg 1.74 2.37 2.88 MgO Al 1.87 2.31 3.54 Al2O3 Ti 4.88 3.38 8.14 TiO2 V 0.52 0.34 0.93 V2O5 Mn 0.59 0.36 0.76 MnO Fe 65.10 38.72 83.75 FeO O 25.30 52.52 Total 100.00 Fig .4 EDS results of analyzed point 2 Table 4 EDS results of analyzed point 3 Element Weight [%] Atomic [%] Compound [%] Chemical formula Mg 2.19 2.97 3.64 MgO Al 4.02 4.89 1.70 Al2O3 Ti 1.02 0.70 7.59 TiO2 Mn 1.02 0.61 1.32 MnO Fe 66.65 39.25 85.75 FeO O 25.09 51.57 Total 100.00 Fig. 5 EDS results of analyzed point 3 According to the results of elements′ line-by-line scanning (Fig.2 (c,d))and the EDS results of the analyzed point1,2and 3, we can deduce that most metallic minerals have a certain amount of Ti, which illustrates that fine-grained

Five experiments were designed by randomly selecting training and test digits from MNIST database respectively to quantify the impact on the recognition accuracy of the different number of training samples.
Comparison for correct recognition rates of GMDM and TD Train/Test number 50/200 100/200 200/200 300/200 400/200 CRR DMGM 91.2% 93.6% 95.4% 96.2% 96.3% TD 89.7% 92.0% 93.9% 95.0% 95.2% The experiments in Tab.1 shows that ratios of training and test samples influences the correct recognition rates both for DMGM and TD method, generally, more training samples, higher CRR, but it increased with training test samples raising gradually became weak while the training samples is big enough.
Lee: "Diffusion maps and coarse-graining: A unified framework for dimensionality reduction, graph partitioning, and data set parameterization," IEEE transactions on pattern analysis and machine intelligence, Vol.28 (2006), p.1393-1403

Many plants accumulate silicon in the form of phytoliths (microscopic grains of various shapes).
To date, researchers have accumulated additional material and, in particular, a fairly large number of new types of phytoliths.
A number of researchers believe that living organisms arose as a result of matrix synthesis of key biomolecules and biostructures on inorganic matrices.

Using burnt clays in mortars may influence a number of their properties [1]; in particular it is monitored the increase in compressive and flexural strength values.
If it is assumed that the durability of these composites is connected with the number of microcracks affecting them, and their ability to resist the propagation of such cracks, it is possible to quantify this durability using different brittleness parameters.
Specimens and fracture tests Specimens were made of mixtures containing CL-90 white lime in the form of hydrated lime (Carmuse Czech Republic Inc., Mokrá), sand consisting of three fractions of sand: PG1 (0–0.5 mm), PG2 (0.125–2.5 mm) and PG3 (0.5–5.0 mm) in a ratio of 1:1:1, and Heluz brick powder (Heluz cihlářský průmysl v. o. s., Hevlín) or L05 metakaolin (ČLUZ, a. s., Nové Strašecí) with the grain size d50 = 5 µm.

The ingredients of stone materials are very complex, and the main component of sewage caused by them is a mixture of water, abrasive dust, slag grinding grain, marble and granite debris.
When annual working days d is300, daily working time t is 8 hours, the required equipment number is 2 block machine and a polishing line and 2 bridge cutting machine.
(2) In the formula: Qsm is sludge produced by block machine. b1 is sawing blade width of block machine, which is 2mm; the number of saw blade  n is 8; the feed speed Vs is value range of 0 ~ 55cm/h; the saw blade spacing d is general scope for 1 ~ 2cm.

In mineral processing process, the vast majority of mineral products contain a large number of moisture[6], the concentrate obtained by gravity concentrate plant and magnetic separation plant also contains a large number of water.
Study on the Classification of Fine Grain Material [J].

For preliminary estimation of the physical processes taking place in the induction device, a calculation and an analysis of similarity criterion were carried out: magnetic Reynolds number Reм < 0,2 – electromagnetic task can be solved without the influence of the velocity field in metal; Hartmann number Ha > 29 – electromagnetic field has a significant influence on the melt movement; Reynolds number Re > 12000 – a turbulent mode of flows, application of turbulent models is needed; Rayleigh number Ra > 1330 – penetration of free-convection flows is possible, it is necessary to take thermal expansion of liquid metal into account.
To provide the exchange with the interpolation of electromagnetic and hydrodynamic parameters of the task, the algorithm of coupling of ANSYS and FLUENT was developed and implemented. [5] When turbulence models are used, the thermal conductivity consists of constant and turbulent components [6] are: (1) where Prt – turbulent Prandtl number ; c – heating capacity.
It is very rare that a direct numerical modelling is used due to high requirements to computational resources with big Reynolds numbers.
The samples are casted into an electromagnetic crystallizer had a significantly smaller grain size; the structures on the surface and in the ingot core were the same which means favorable influence of MHD-stirring and the right choice of the system parameters. [1] Fig. 8 Dynamics of the crucible heating Fig. 9 Comparison of thermal-imaging survey and mathematical modelling of the crucible heatingфыввыоарвлоыраловыралоой съемки и ия, электротехнологии, кристалли

[7] Environmental Monitoring and Assessment Volume 177, Numbers 1-4(2011), 555-561.
[9] Materials and Structures Volume 38,Number 1(2005)：63-72,Scientific Reports ,Effect of fly ash and slag on the fracture characteristics of high performance concrete.B.
[10] Materials and Structures Volume 35,Number 9(2002), 536-540, Strength development of concretes with ordinary Portland cement, slag or fly ash cured at different temperatures Ö.
[13] Journal of Material Cycles and Waste Management Volume 11, Number 1(2009), 65-72, Water extraction with CO2 bubbling as pretreatment of melting-furnace fly ash for metal recovery Chang-Hwan Jung and Masahiro Osako
[17] Journal of Radioanalytical and Nuclear Chemistry Volume 289, Number 2(2011), 617-626, Adsorption of indigo carmine from aqueous solution using coal fly ash and zeolite from fly ash.Terezinha E.

Number of layers Number of samples Average Mass (kg) Average Length (m) Average Width (m) Average Depth (m) 1 6 6.45 2.094 0.151 0.031 2 12 13.81 2.095 0.149 0.063 3 6 20.08 2.094 0.150 0.095 Fig. 1.
(MPa) (MPa) (MPa) (MPa) 14480 830 0.53 0.63 535.4 66 Notes: is the modulus of elasticity parallel to the grain; is the transversal elastic modulus; and are Poisson's ratio: and are shear modulus.
Number of layers 1 2 3 Number of samples 6 12 6 Maximum(Hz) Measured 15.70 33.63 47.34 Theoretical 16.02 32.46 50.26 Minimum(Hz) Measured 14.00 28.66 42.34 Theoretical 14.86 29.76 47.51 Average(Hz) Measured 14.73 30.99 44.77 Theoretical 15.54 31.15 48.81 Variance Measured 0.39 3.35 3.70 Theoretical 0.19 0.80 1.41 Average error 5.19% 1.14% 6.76% Comparative analysis of elastic modulus tested by vibration test and static load test Modulus of elasticity Ed is calculated by substituting the frequency values measured by vibration method into Eq. (1), then made a comparison with the modulus of elasticity Es measured by static load test, the results are shown in Table 4.
Number of layers Number of samples Maximum Minimum Average Variance Average (GPa) (GPa) (GPa) error Ed max Es max Ed min Es min 1 6 12.11 13.79 9.81 10.83 11.06 12.72 0.69 3.18 9.76% 2 12 15.36 16.81 10.36 11.74 13.26 14.51 2.34 2.3 8.81% 3 6 12.98 11.63 10.81 10.76 11.48 11.21 0.65 0.21 -3.67% Table 4 shows that for single-layer and two-layer glulam beams, vibration test results are smaller than the static method results and the average error are 9.76%, 8.81%; while for three-layer glulam beams, the test result of vibration method is greater than the static method results and the average error is -3.67%.

In order to solve the problem of rural surplus labor, the number of rural surplus labor in each period must be made accurate estimates.
Forth, there is much regional difference in agricultural production, including once or twice or three times planting in one year.And even if in the area of once planting in one year, such as in Heilongjiang Province, there is also has wheat beans production area , grains area and rice area, etc.
178.3681 0.3540 0.5788 0.3782 0.5129 -0.0902 -9431.9640 It can be seen from table III,the numbers of the surplus agrarian labor of Harbin, Jixi, Hegang, Shuangyashan, Yichun, Jiamusi and Da hinggan Ling are all negative value.
It doesn’t exist surplus labor and the numbers of labor are insufficient in these areas.
Estimation the number of agriculture surplus labor in Jingjinji [J].