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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.

They can manage and organize data point cloud data of smaller amounts well not massive point cloud data.
Point cloud data is extracted in block.
The decimal Morton code of linear quartree Database management of point cloud data Storage of point cloud data The operations of point cloud data (X, Y, Z coordinate values) are based on coordinate values​​ such as reduction, coordinates corrected, building triangular grid etc.
Experiment and Analysis Storage and data manipulation of point cloud data The point cloud data got by three-dimensional laser scanner system software is output in the format of .pts, .ptx, .xyz, .txt etc.
(a) the points table of point cloud data (b) the extent table of point cloud data Fig. 2.

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)

ARB textures corresponding to a cumulated reduction of 99.9%: deformed texture (a) and annealed texture (b), and to a cumulated reduction of 99.6%: deformed texture (c) and annealed (d) texture. 29. 2 25. 6 8.0 c) d) a) b) 8.0 The samples were reheated to 1,150 °C and hot rolled to a total reduction of 90%.
This results in a total accumulated true strain of 4.71, 4.96 or 5.30, respectively, which corresponds to an approximate hot + cold reduction of 99.1, 99.3 and 99.5, i.e. of the same order of magnitude but somewhat less as the reductions applied in the ARB experiment.
Cross section textures after cold reduction 91% (a), 93% (b) and 95% (c).
Although the very early stage of recrystallization could not be characterized, the data (cf.
Recrystallized textures of samples previously CR to 91% (a), 93% (b) and 95% (c) reduction.

Hence, reduction in tool wear is essential for less expenditure with the knowledge of optimum cutting conditions of MQL.
Results showed that MQL with palm oil exhibits best cooling efficiency at 5 bar pressure and nozzle angle of 20o with reduction of 35% in tool wear and 23% in cutting temperature at higher cutting speeds.
Usage of vegetable oils [4] is then being brought out into attention of the researchers, which results in reduction of health hazard factor [5].
The ranges of cutting speeds were chosen based on the data given by cutting tool manufacturer.
Impact of change in MQL pressure is more noticeable at higher cutting speeds, especially at 150 m/min with approximately reduction of 10% in cutting temperature using 5 bar if compared to that of 1 bar.

It is dangerous to use the existing fatigue data to design the welded structure within the super long life regime.
It is assumed that the fatigue test results are submitted to lognormal distribution, two nominal S-N curve with slope m and K times plus or minus the standard deviation is used to form a data dispersion band (K is the eigenvalue), specified probability of survival was 95%, confidence level is 75%.
Nominal value is calculated by the following process: Calculation of all the stress of fatigue test data points range and the number of cycles N base 10 logarithm
Let Ci be the experimental data on the value, the value of m is used to calculate the average of logC (Cm) and standards variance stdv:
However, the ultrasonic fatigue test results are obtained under sheet conditions, and is higher than the fatigue strength corresponding to the 20~25mm plate thickness, therefore, if the test results and the S-N curve with the specification of 20~25mm plate thickness of the specimen fatigue test data statistics are compared, and the correct way is to test the fatigue strength data divided by f (t) reduction, rather than multiplied by the plate thickness correction formula.

The data is taken from Ref. [7].
(2) Results Figure 3 shows the Hall plots for the 6C-ARB samples, where the lines are the results obtained by fitting Eq. (1) to the data.
The obtained data are scattering, but the tendency of 1− Q can be obtained by fitting the equation f L f Q π Λ π α = − 4 t1 ~ (2) N S N S Magnetic field Solenoidal coil Lorentz force Permanent magnet Sample N S N S Magnetic field Solenoidal coil Lorentz force Permanent magnet Sample Fig. 2 EMAR setup for measuring the ultrasonic resonance and attenuation coefficients.
to the data, where we have the relation 24 t ~ fLΛα by following the Granato-Lucke theory[10,11]; Λ is the "mobile (or effective)" dislocation density and L the segment length of dislocations.
The amount of reduction was evaluated by the before and after thicknesses.

The study is based on the result analysis of survey data and energy characteristics of the participating companies belonging to the following agrifood sectors: meat, dairy, horticultural, distribution and wine.
With the results of this work is possible to rating the companies in relation to reference levels of energy and GHGs emissions and thus promote the rational use of energy by the application of practice measures for the improvement of the energy efficiency and the reduction of GHGs emissions.
In this context, the development of studies that allow the reduction or rationalization of energy consumption is important [1].
The InovEnergy project is the most relevant Portuguese project in this context, aimed to evaluate and promote energy efficiency measures applicable to the Portuguese agrifood industry, through the identification of energy consumption profiles of the greatest number of data sets collected to date in portuguese agrifood companies [14-17].
Sector Employees Business volume (103€/year) Raw material (ton/year) Final product (ton/year) Electricity (MWh/year) Meat 4 - 48 250 – 8000 42 – 4466 27 – 3349 38 – 1014 Dairy 6 -31 130 – 6000 140 – 1500 25 – 1322 27 – 1454 Horticultural 2 - 26 200 - 2500 400 - 4650 400 - 4650 25 - 1025 Distribution 9 -67 500 - 12500 30 - 2500 30 - 2500 136 – 1027 Wine 1 -22 50 - 4687 50 - 13000 33 – 9750 [kl] 9 - 230 Results analysis and discussion In order to evaluate the portuguese panorama of energy consumption and GHGs emissions in agrifood industry and to identify the practice measures and strategies that promote energy efficiency, surveys and audits data was obtained, crosschecked and analysed.

The planning practice has a significant effect on runoff reduction.
The effect of runoff reduction for rainwater utilization measures is analysis.
Fig. 1 Overview of processes incorporated in the planning runoff estimation Mountain areas Overland flow (inflow hydrograph) Flow routing through drainage system Initial loss-constant continuing loss rate model Rainfall Overland flow GIS data Instantaneous unit hydrograph (IUH) SWMM Urban areas Initial loss-constant continuing loss rate model Rainfall GIS data Instantaneous unit hydrograph (IUH) Case Study Area [6].
According to this basis data, Futian River watershed stormwater control and utilization planning is carried out.
Effect of Runoff Reduction.

The products subjected to these treatments were weathered for 40 days, and climatological data were monitored daily.
The specimens were exposed to weathering for 40 days and the climatological data were monitored daily.
Statistical analysis of data.
Reductions of MOE and MOR to −81.2 and −71.4% were obtained, respectively.
For MOR, the reductions were 37% after three cycles of aging and 49% after 6 cycles of aging.