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However, that increase coincided with reduction of absorption in medium frequency range and reduction in the absorption peak.
Fig. 1: Date palm amplexiaul Fig. 2: Plastic molds and date palm fiber samples Experimental Measurement in Impedance Tube.The experiment was conducted using two of 28 mm and 100 mm diameters, noise generator, two channel data acquisition system 01 dB, two ¼ in microphones type GRAS-40BP in each tube, software package SCS8100.
Data acquisition system Noise generator Impedance tubes Fig. 3: Sound absorption experimental set up Results and Discussion The variation of sound absorption coefficient against frequency for date palm fiber sample at normal incidence as measured by the impedance tube is shown in Fig.4.It can be observed that the values of absorption coefficient are smallat low frequencies, rising with increasing frequency but exhibiting asignificant peak.
The percentage reduction of the absorption peak for the three air gap thicknesses is shown in Table 1.
However, that increase coincided with reduction of absorption in medium frequency range and reduction in the absorption peak.

Taking into account the feasibility of obtaining carbon emission reduction benefits indexes of risk construction projects, this article constructed two indexes: CO2 emission reduction ROI and CO2 emission reduction cost.
CO2 emission reduction ROI.
The CO2 emission reduction ROI of power generation projects, including the revenue generated by reducing emissions of SO2, NOX, CO2, smoke and others, is an important index used to determine the degree of carbon-emission reduction.
CO2 emission reduction cost.
The data of project A can be used as a reference standard to analyze the reason why the comprehensive economic benefits of other projects are less good, and to propose improvement measures.

To determine the value of , an empirical model relating the final microstructure with the strain, strain rate and temperature via the regression of experimental data is obtained: (4) Where , , are material constants, is the activation energy for recrystallization.
DRX volume fraction (a) 20% 40% 60% Height reduction reduction (b) Fig.3.
The simulation results of DRX volume fraction at 1050 °C, different height reductions and different strain rates: (a) 20% 40% 60% Average grain size/μm Height reduction reduction (b) Fig.4.
When the height reduction of 40%, the DRX is very obvious at this time.
As a whole, when the height reduction of (20%~60%), the recrystallization proceed more further with the more height reduction deformed.

Hybrid rGO and AgNPs was prepared by chemical reduction method.
The electrical data was collected using a four-point probe meter (Loresta-GX MCP T700 Mitsubishi Chemical Analytech) in accordance with ASTM D991.
This data is in good correlation to the results obtained by Ota et al., [8].
The data of resistance, sheet resistance, resistivity and conductivity were presented in Table 1.
Electrical data of rGO-AgNPs printed film Resistance (Ω) 1.73 × 10-1 Sheet resistance (Ω/square) 6.72 × 10-1 Resistivity (Ω.cm) 6.72 × 10-5 Conductivity (S/cm) 1.50 × 104 Humidity Sensor Test.

In this context, two keywords are therefore frequently mentioned: "Big Data" and "data-driven forecasting" [5].
These data volumes offer cost reduction potentials of e.g. up to 20% of the manufacturing costs [8], which are underestimated by many companies [9].
The process data can also show which cost reduction effects and mutual dependencies are associated with the individual parameters [11].
Hemmrich, Data Mining und Industrie 4.0.
Waschbusch, Big Data in der Produktion: große Daten = großes Potential?

What is the difference among different environmental tax for greenhouse gas emission reduction?
Table 1 Research directions and hot issues Research Directions Hot Issues Impact Analysis of Environmental Policies on the Economy and Social System 1) How to achieve the emission reduction targets. 2) Social cost of achieve emission reduction targets. 3) Emission reduction policies lead to carbon leakage. 4) Cross-border effects of environmental policy. 5) Emission reduction effect of different environmental policy, etc.
Energy Prices, Energy Consumption Structure 1) The impact of changes in energy prices on economy and society. 2) The impact of changes in energy prices on energy conservation and emission reduction, etc.
With the development of statistical datum’s precision and integrity at the regional and industry level, middle level analysis will provide a vast arena for CGE model.
The Economic Impact of Water Taxes: A Computable General Equilibrium Analysis with an International Data Set[J].

The advantages: from the local data on the characteristics of the construction, from the global mapping of data on [4- 6].
Obviously, to the narrow the distance between the similar data in this way and contribute the neighborhood of the similar data.
Then, and then Isomap, SIsomap algorithm sets the experimental data dimensionality reduction, reuse classifier dimensionality reduction of low-dimensional coordinates of classification, to be its corresponding recognition rate.
Since the data set to join the outliers, compared to after Isomap, SIsomap dimensionality reduction of experimental data dimensionality reduction algorithm with SIsomap low-dimensional embedding result, the recognition rate is significantly higher than Isomap algorithms are used 1_NN classifier NFL classifier or use, are able to get the same results.
Through definitions, SIsomap same algorithm can be the sample data points and heterogeneous region of good data points, two data points corresponding to the different distance metrics can be fully distributed in a different interval, and thus the same data and the heterogeneous data accurately distinguish.

High temperature produced by arc and current resistance heat could smelt the charges and create reduction conditions.
The deep reduction furnace undertakes two function including melting metallized pellets and making deep reduction of vanadium oxides in slag.
Thermodynamic parameters about the reduction of vanadium oxides are shown in table 3.
Table 3 Parameters about the reduction of vanadium oxides Serial No.
Chemical reaction Standard gibbs free energy Temperature/K 1 V2O3+C=2VO+CO △G0=255185.46-172.50T 1479 2 VO+C=V+CO △G0=319243.50-162.87T 1960 3 V2O3+C=2V+3CO △G0=868342.32-500.83T 1734 4 V2O3+5C=2VC+3CO △G0=664026.48-481.65T 1379 5 V2O3+3C+N2=2VN+3CO △G0=438776.64-335.87T 1306 Data of table 3 show that the temperature of hot metal should not below 1734 K if you want to obtain a higher vanadium reduction ratio, if not you need to extend reduction time.

This confirmed that the reduction in specific electricity was due to the WEER system.
The operation data is shown in table 1.
Fig 1 Sketch of the plant before upgeade Table 1 The operation data of the original plant P1 P2 P3 P4 P5 F1 F3 F4 F5 SDI 0.2 0.1 5.5 5.5 0.15 15 15 10 5 168 Where P: pressure, Mpa F:flowrate, m3/h SDI:the SDI of fresh water, ppm For this plant, the power consumption per cubic fresh water is 7.4kwh. 2.
Fig 2 Sketch of the plant after upgeade The analysis data of the system was shown in table 2. 3 4 5 6 7 8 Flowrate (m3/d) 159 341 500 150 350 350 Pressure (bar) 1.7 48.1 50 0.0 49 1.0 Quality (ppm) 41000 42115 41766 200 59580 58495 3.
Test and results analysis After the upgrade, 30 days test operation was taken,.The the operation data of the upgrade plant was shown in Table 3.

Furthermore, the input data often need to be estimated based on a limited time series of data, and therefore are affected by estimation errors [5,6].
In this paper, data for the indirect cost of CO2 reported in [13] have been used.
Based on data reported in [13] Mean Std.
parameters of terms in (Eq. 2) are reported, obtained based on historical data reported in [15,16].
[13] CO2 Emission: Graphic and Historical Data (2008-2012).