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Lack of new breakthrough in technical theory, researchers mainly focused on intelligent control [3-6], which relied on large production data and the application is limited to a certain degree.
This kind of methods, which applies self-learning function to control rolling process, relies on large production data and analytic models have not been established.
The value of Φ can be calculated by Eq. 4 according to the data of different products collected from production site.
Test data are listed in Table 3.
Table 3 Test data when target crown adjustment value is -0. 020mm (steel grade Q235B, inlet thickness 30. 230mm, target thickness 3.500mm) Stand No. 1 2 3 4 5 6 outlet thickness after adjusting rolling regulations h1[mm] 18.266 10.585 6.691 4.956 4.074 3.536 rolling force P[KN] 18842 17774 16378 12036 9420 7207 variation of rolling force [KN] -834 -723 -656 variation of crown [mm] -0.019 After adjusting the reduction of each stand by the combined gauge and shape control scheme, the variation of strip crown of last stand is basically eliminated while exit gauge remains constant.

The good vibration reduction efficiency of active solutions, however, comes at a cost of high energy demands.
The work [9] explores the potential applications of a platform mechanism to vibration reduction in several DOFs.
Directly measured data yield the error signal to be used in the control process.
The vital stage of the design process involves the computer simulation of the ASC, using the pertinent data.
Another constraint acting upon the hydraulic drive is the maximal delivery of the pump supporting the drive 4, which allows for finding the maximal velocity to be implemented by the drive once the piston area has been established. 10o Simulation data yield the velocity pattern in the cylinder 4 for the maximal inputs from the road.

Given the importance of the thinning in the ISF process and the limited data on the influence of the process parameters, this study aims to investigate the impact of the step depth ∆z and the feed rate F on the thickness varia- tion during the SPIF of pure aluminum alloy Al1050.
It can be observed that increasing the step size leads to a greater thickness reduction.
The numerical results demonstrated a good level of agreement with the experimental data when comparing the wall thickness distribution across the defined three main regions.
A greater thickness reduction occurred where stretching is the primary deformation mechanism, and this effect became more pronounced as the step size increased. 3.
Numerical and experimental investigation of the effect of strength of aluminum 6061 alloy on thickness reduction in single-point incremental forming.

Gyenge’s group[13] studied influence of surfactants on the electro-reduction of O2 to H2O2, in which they found that cationic surfactant increased the rate of O2 reduction to H2O2 and reduced the O2 diffusion coefficient towards the electrode surface.
Based on these datas, the energy consumption for the production of 1 ton water with 5mg/L H2O2 was calculated (Table.1).
As for the data of No.1-5 in Table.1, as flow rate increased, the produced H2O2 concentration decreased, while the current efficency increased more dramatically due to the further reduction of H2O2 was avoided by leaving the cell quickly.
For the data of No. 6-10, the concentration of H2O2 increased as the aeration rate, in other words, the concentration of O2 was increased.
For the data of No. 11-15, as the current density increased, both of the 2-electron-reduction and 4-electron-reduction of O2 were inhanced, resulted in the concentration of H2O2 increased while the current effiency decreased more markedly.

Reverse engineering mainly includes data collection, data processing, model reconstruction.
The preprocess of the point cloud mainly includes eliminating abnormal data, data sampling, data smoothing, filtering and noise reduction, multi-view cloud split, point cloud data filtering, redundant data merging, feature extraction, data compaction, point cloud blocking, and so on.
Such much data is a test for data operation.
The next data encapsulation can arrange the point cloud data uniformly.
The new data file can be opened in Ug.

This paper deals with the risk assessment within the premises of electric steelworks, in predictable failure situations, based on the sheets of assessment and reduction of the risk associated with explosive atmospheres of methane and oxygen, in the presence of high temperatures existing at the electric steelworks.
The Safety data of the processed substances are found in the literature, and are summarized in the safety data sheets (SDS).
Matrix of the industry risk analyser For the global assessment of the risks identified in the "Electric steelworks premises", we used an unconventional method to analyse and assess the subjective probabilities resulted from the assessments awarded within the estimation and reduction phase, in order to reduce the subjectivity in assessment and obtain plausible final results.
The process of obtaining the final results of assessment consists of a Fuzzy logic inference algorithm, which involves: - entering the data resulted from the system analysis; - fuzzification (transformation of data into Fuzzy variables) / Fuzzy logic inference / defuzzification; - output data (results of assessment); - nuanced assessment of the results.
As can be seen in Figure 2, after applying the measures set out in the risk assessment and reduction sheets, the global value of the risk afferent to the "Electric steelworks premises" has been reduced, finally resulting in a low residual risk, which ensures the prerequisites of safe operation of the electric steelworks.

These studies of test the experimental data are scarce, with most model tests is still small-scale.
The data acquisition used INV306 which is developed by Oriental Vibration and Noise Technology Institute.
In the center of the third layer floor input the power dynamic load waveform data then picked up by channel 6.
We compared sensor collecting data of the sixth steel frame floor on soil tank.
In this paper, the structure added natural period, the stiffness of the structure, the structure in the peak acceleration reduction means and the rigidity fitting data of structure was established for the model, if the actual structure was used the data to calculate the soil structure interaction it should conside the size factor.

The simultaneous production of water and oil causes lots of negative effects on the reservoir performance such as significant reduction in oil recovery, corrosion, the cost of oil and water separation, environmental pollutions, and etc.
Additionally, since it is not well-matched with its observation data, by the use of SimOpt software, a reasonable match between the simulated and observed data were achieved.
After achieving a reasonable match between the observed and simulated data in SimOpt, by the use of ECLIPSE 100 software various scenarios are investigated.
This event results in a significant reduction of oil relative permeability and an increase in water-relative permeability, which finally decreases the reservoir recovery factor [2].
According to the geological data, this reservoir contains three faults, which divide the reservoir into four parts but one equilibrium region because of the transmissibility of the faults, and there are 12 production wells (Fig. 1).

The estimates of global wave-generated electricity supply potentials were allocated to the 48 energy production and consumption regions and classified into five cost categories based on data provided by [1,11-13].
Table 1 shows the input data for selected important electricity generation technologies other than non-biomass renewables, while Table 2 shows the global technical potential of seven non-biomass renewable electricity technologies at different cost categories.
The input data for CCS are given in [9,15].
Data for selected important electricity generation technologies other than non-biomass renewablesa.
Mai: ReEDS Model Documentation: Base Case Data and Model Description (National Renewable Energy Laboratory, USA 2009)

For the time effectiveness and cost reasons, the data, including topographic maps in 1995 and 2000, stereo aerial images in 2005, and stereo IRS-P5images in 2007, are selected as the data source in this research.
According to the existing topographic maps and mining subsidence prediction data, the additional slope schematic diagrams of the Yanzhou coal mining area are acquired.
Results of the Demarcation The subsidence information data in different times are acquired by employing the analysis of overlay and differences of the DEM raster images at different phases in Arcgis.
The damaged cultivated land of the Yanzhou coal mining area is classified, including mild yield reduction area, moderate yield reduction area and out of yield area.
Dynamic monitoring of the land subsidence in mining area from multisource remote-sensing data – a case study at Yanzhou, China.