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Another one factor, quality of water, was improved by adding a check item to monitor and collect data during the initial implementation stage.
Define Phase As re-check historical data in 2020, the times of T.Al in degreasing bath that lower than lower control limit (LCL) at 18.2 points more frequency compared to the previous months as shown in Table 1.
The controller will feed raw material A every 10 vehicle units with average consumption from historical data.
Because there was no historical data for compassion.
Contactless Chip Module Defect Reduction.

L10-CoPt Bit Patterned Media with Tilted Easy Axis for Ultrahigh Areal Density over 2.5 Tb/in2 Arkom Kaewrawang1,a* 1Magnetic Materials & Data Storage Research Laboratory, Department of Electrical Engineering, Faculty of Engineering, Khon Kaen University, Khon Kaen, Thailand aarkom@elec.kku.ac.th Keywords: tilted easy axis; bit patterned media; L10-CoPt; switching field Abstract.
In this work, we propose the one of alternative method to increase data density and reduce Hsw of the media by using tilted easy axis technology for bit patterned media (BPM) at areal density beyond 2.5 Tb/in2.
The BPM with tilted easy axis perform clearly the reduction of Hsw below perpendicular media and available writing head field.
Thereby, BPM with tilted easy axis have high potentiality to improve Hsw of media at ultrahigh data density.
In this work, the Hsw reduction of BPM with tilted easy axis of L10-CoPt materials is proposed.

The test according to Manzo reservoir laboratory test data and geological survey report, using the finite element software of ANSYS to establish the finite element model.
The model put different water level decline speed, different osmotic coefficient and the different infiltration recharge tension cases to analysis separately,the result shows:1)more greater the reduction’s speed, more steeper the saturation line’s luffing, more adverse the slope’s stability;2)more smaller the permeability coefficient, more poor the slope’s drainage capacity,more steeper the infiltration line, more poor the slope’s stability; 3)seepage line’s position higher than no infiltration seepage line’s position.
Since the three Gorges reservoir’ Water storage, reservoir water level have about 30m water level’s fluctuation every year, different level will lead to the bank slope infiltration line’s rise and fall, this test according to Manzo reservoir laboratory test data and geological survey report, using the finite element software of ANSYS to establish the finite element model.
Fig. 2 Plastic displacement of 175m Fig.3 Level dropped 175m-159m horizontal Based on the accumulation layer seepage model’s basic assumptions and calculations, referencing the way of saturation line’s calculation, getting different reservoir water level action’s seepage line,and compared with each other,getting: a.Under the different level decline rate,more greater the reduction’s speed, more steeper the saturation line’s luffing, more adverse the slope’s stability; b.Under the different permeability coefficient influenction,More smaller the Permeability coefficient, more poor the slope’s drainage capacity,more steeper the infiltration line, more poor the Slope’s stability; c.Under different infiltration recharge condition,Seepage line’s Position Higher than no infiltration seepage line’s position.

Microbial ferrous-oxidation by mesophilic microbewas studied in a recently reported novel packed-column bioreactor with a view to investigate the potential of using solution pH to manage jarosite accumulation in the bioreactor in addition to establishing a base case data for the bioreactor.Experiments were conducted in the bioreactor packed with glass balls (15mm diameter) at constant temperature of 38.6 oC, residence time of 18 hours, airflow rate of 20 mL.s-1 and pH values of 1.3, 1.5 and 1.7.
The results also showed that 33% and 52% precipitate reduction could be achieved by gradual decrease in the bioreactor solution pH to 1.5 and 1.3 after being continuously operated for 10 days at pH 1.7 respectively after an addition of 5 days.
Steady data were recorded only when the bioreactor achieved a steady state operation, i.e. when the pH and redox potential in the culture liquor was constant for at least three residence time.
The fit of Hansford model (Eq.1) to experimental data Table 1.
This reduction was linked to the chemistry of dissolution of jarosite precipitation at low pHsby Mazuelos et al.[3].The expected relationships between oxidation rate, conversion, solution potential and dilution rate were observed (Figure 3& 4).

Wu Han, Hubei 430061, China; a 110190112@qq.com, b 196291812@qq.com, c 360059903@qq.com Keywords: phyllite, support structure, stability analysis, stress changes Abstract: Taking Liang Zhuang phyllite tunnel as the research object, the paper tries to analyze the variation rules of formation stress and initial support stress in the construction process based on numerical simulation of surrounding rocks grade III, IV and V, and also by using the measured data to have a better analysis of the stress state of surrounding rocks and support in the construction process, thus to grasp the rules for better construction.
Taking Liang Zhuang phyllite tunnel as the research object, the paper tries to analyze the variation rules of formation stress and initial support stress in the construction process based on numerical simulation of surrounding rocks graded III, IV and V, and also by using the measured data to have a better analysis of the stress state of surrounding rocks and support in the construction process, thus to grasp the rules for better construction. 2.
Fig.1 Tunnel lining unit model Table 1 Parameters of surrounding rocks and initial support material E /GPa C /MPa j ( o ) μ γ /kg/m3 note Surrounding rocks III 11 0.14 30 0.3 2350 soft rock reduction Surrounding rocks IV 1.3 0.12 28 0.36 2100 soft rock reduction Surrounding rocks V 0.75 0.07 16 0.42 1800 soft rock reduction Initial support 25.7 0. 2 2450 Including reinforced net and steel arch 3.
We will analyze the data of the section of 10 to 20meters in the middle of the model.

With the increasing development of clean energy technologies, the application of new energy and carbon capture technology would have a positive effect for CO2 emissions reduction.
Literature [9-11] studied the importance of the carbon capture technology when it used to achieve the carbon reduction goal of a electric power system.
On the basis of traditional power constraints, adding the constraints of power capacity, wind power integrating capacity, carbon emission reduction targets, etc.
The constraints of annual carbon emissions reduction during the planning period: The emissions reduction targets as a constraint is the most direct and effective way to control the CO2 emission.
Put in the initial data, including information such as the original power supply, power supply plan to build.

EPC have an important role in promoting energy conservation and emission reduction in China.
Introduction After the 1970s’ oil crisis broke out, Energy Performance Contract (EPC) was developed in the United States, and now has become one of the main methods of energy conservation and emission reduction in the world.
In this paper, indicates price, indicates performance level (mainly energy-saving rate, the reduction of energy costs), indicates the market demand, and meet。
To better understand those sensitivity factors’ influence on choosing performance level, and the choice of optimal performance level in order to obtain the maximum profit, Data simulations are done by a data selection:,,,,,,to simulate.
Select data: to stimulate.

The expression of, and are the mean of each frequency band and n is number of data.
I-kaz analysis provides a 3D data distribution along with the I-kaz coefficient, Z∞.
The Z∞measures the degree of data scattering with respect to the data centroid.
Z∞was adequately corresponds to the degree of data scattering.
The higher value ofZ∞ for sound signal of carbon steel S50C was illustrated by the bigger space of data scattering of I-kaz display compared to the lower Z∞ for cast iron which was illustrated by the smaller space of data scattering.

But data are always sparse.
The one hand, the customer and commodity score data and customer is not an accurate score.
On the other hand, with the continuous growth of customers and merchandise, the cause of the extreme sparseness of the user ratings data, the results for some customers can not be recommended in order to affect the accuracy of the recommended Literature using dimension reduction techniques, the use of a single value decomposition technique to Reduction in customer referral system - the dimension of the Trade Matrix data.
The literature offered by the association of sparse data can improve the recommendation quality.
But data are always sparse.

A new model of dislocation-strain-related Poole-Frenkel effect that accounts for the own electric field of internal charge of dislocation line is suggested and compared with the experimental data.
The theoretical calculations of PFE due to presence of 60° dislocation was found to be in a good agreement with experimental data on p-type samples [4].
The symbols correspond to the experimental data obtained from the position of ITS peaks, the lines represent the best linear fits.
The results of the calculations together with the experimental data on ER-DLTS are presented in Fig. 3b.
A good quantitative agreement between the theoretically calculated and experimental data derived from the energy-resolved DLTS measurements was established.