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Deck barge dimension Deck barge data Size Unit Overall Length [L] 82.29 m Depth [H] 4.87 m Breadth [B] 21.33 m Draft [T] 3.80 m Table 2.
Mechanical properties material Pole Data Size Unit Plate thickness 4 - 26 mm Yield strength 235 MPa Tensile strength 400-520 MPa elongation 22 % Fig. 2.
Modeling of the 270-foot deck barge using Finite Element Method (FEM) software by inputting the transverse and longitudinal construction design data of the deck barge shown in Figures 4 and 5.
After modeling and data processing, a curve graph is obtained, which represents the relationship between the ultimate strength value and curvature using the Non Linier Finite Element Analysis method [34] on all load cases shown in Figures 15–16.
Likewise, Figure 16 shows that the deck barge will experience damage at the same time between hogging and sagging in conditions of intact plate thickness, 20% reduction, and 25% reduction.

Those data consist of measurement and nominal data as quantitative facts and are supplemented by expert knowledge as rather soft facts to be describes by fuzzy input variables.
Acquisition of Measurement and Nominal data The results of current and power measurement are defined as measurement data.
This allows creating the required data base on factory level and increases transparency.
Considering all sources of data being illustrated in Fig. 2 first the quantitative input data need to be acquired: Those data like the runtime are typically gathered from the production schedule out of the ERP-, MES- or MDE-software.
Figure 2: Sources for input data [11] Additional to the quantitative plant data expert knowledge concerning all machines have to be collected.

The COD reduction for this study is within the range which is 50% reduction in COD.
As expected, the carbon dioxide data had an inverse relationship to methane data this was likely due to a washout of the slower growing methanogenesis at day 21 to 30 and it may also because of acidifying microorganisms are prevailing over the methanogens which caused the accumulation of volatile fatty acids.
The reduction of COD was accounted for biogas production.
In this project, the highest COD reduction data was about 52.1% which happened at the most optimum organic loading rate at 50 000 mg/L COD.
Based on the data of this study, OLR of 50 000 mg/L COD is suggested as design criteria with methane production rate of 70.3% (methane) and 38.1 L/day for total volume production.

The latter two techniques imply the partial transmitting of data sequences with lower PAR by coding technologies which requires corresponding decoding process at the receiver; obviously, these techniques are not feasible to published specification.
Implementation Fig. 1 illustrates the provided PAR reduction technique.
Simulation A simulation in DRM Mode B which means the OFDM signal bandwidth is 10 kHz has been carried out, the data on subcarriers are generated in random and 64QAM is adopted.
The out-of-band spurious suppression performance The calculation steps of MER are as follow: first, the pre-distortion processed OFDM symbols are transformed into frequency-domain and the average error power of all data sub-carriers is calculated.
Then, by calculating the ratio between average data power and error power we get MER of every ODFM symbol.

In this study, based on the data about energy consumption and GDP in the construction industry of five northwestern provinces, and estimates the carbon emissions of construction indirectly.
Many scholars, with Aurelia Bengochea-Morancho (2001) analyzed this relationship by choosing the panel data from 1981 to 1995 of ten European countries and obtained the differences between the most industrialized countries and other countries[1].
Therefore, taking the construction industry’s annual value and energy consumption of northwestern five provinces in 2011 and 2010 as sample data, this essay will use Decoupling Theory to do decoupling analysis to economic growth and carbon emission of construction industry in northwestern area, obtaining the impact degree between them.
The understanding of three indicators “m”, “r”, “p” can be shown in Table 1: Table 1 Each indicator affecting relationship status breakdown Table Number Indicator Affecting relationship status 1 m,r,p≥1 coupling relations 2 0＜m,r,p＜1 weak decoupling 3 m,r,p≤0 strong decoupling Variable selecting and data processing In this study, the raw data about construction output and energy consumption richard from the “Statistical Yearbook of Shaanxi Province, 2011-2012” and “Statistical Yearbook of China Energy 2011-2012”.
Table 2 The table about various indicator data in the construction of five northwestern provinces Province The output of Construction (one billion yuan) Standard coal (tonnes) Carbon emissions (tonnes) 2011 2010 2011 2010 2011 2010 Xinjiang 132.0370 96.3719 66.81156 57.79158 43.03648 36.88664 Qinghai 31.9416 27.9606 23.69127 20.09219 15.24991 12.91465 Gansu 92.5841 75.1988 68.79113 64.49961 45.64565 42.43085 Ningxia 42.7917 34.2694 42.95884 37.18348 25.46704 21.39099 Shaanxi 321.6630 306.3611 129.8089 127.1699 83.25797 81.66126 Fig.1 The histogram compare with various indicators in the construction of five northwestern provinces The Impact degree analysis In this essay, put the energy consumption and GDP in the construction industry as the original data, apply the IPCC emission factor method indirectly derived carbon emissions.

Reduction of yarn hairiness has drew more and more attention in textile technology and increasingly been emphasized in textile industry.
After analysis of the data achieved from the test, the winding hairiness before and after using airflow HRE are shown in Table 2.
According to the analysis of the data in Table 4 and Table 5, after using airflow HRE, yarn average tenacity is increased, but the amplification is small.
But the minimum tenacity of yarn increases obviously, JC5.8tex has maximum amplification at 17.9% In addition, according to the data in Table 6, tenacity CV value of single yarn reduces about 4.68% on average after using airflow HRE, decreasing amplitude is within 2.5%-6.0%.
Discussion of Ways and Practice of Spooling Yarn Hairiness Reduction.

Area Reduction Extrusion is another straightforward method of reducing a bar's cross-section.
These changes have not been fully characterized, but experimental data is useful here to examine the additional load induced by reducing the exit channel height.
The data is fitted with a log function, the purpose of which is to demonstrate that reducing the exit channel to facilitate 90o re-insertion requires little additional load, as it is essentially a tilting of the shear zone.
Simplified cross-section of area reduction die with 10 o throat angle.
Area reduction punch load and pre-reduction hardness for assorted materials.

Noise reduction or cancellation is important for getting clear and useful signals.
This paper deals with the implementation of the multi-channel wiener filter algorithm for noise suppression of seismic data.
As shown in Fig.2, this algorithm can eliminate random noise, and improve the signal to noise ratio of seismic data.
So when the seismic data is not enough, the performance will be affected.
Conclusions In this paper, multi-channel wiener filter is considered to suppress random noise of seismic data.

(1) is the modulated data symbols for each subcarrier on frequency domain.
In cyclic shift PTS method [11], the frequency domain data is divided by a certain partitioning scheme into V disjoint sub-sequences so that .
In order to ensure the integrity of the data, C-PTS can generate candidates.
Fig. 1 shows the pilot symbol pattern for V=4 of the proposed scheme, where data symbols and pilot symbols are represented by small empty circles and big black filled circles respectively.
[16] Hyunju Kim, Student Member, IEEE, Eonpyo Hong, Member, IEEE, Changjun Ahn, and Dongsoo Har, “A Pilot Symbol Pattern Enabling Data Recovery Without Side Information in PTS-Based OFDM Systems,”IEEE TRANSACTIONS ON BROADCASTING, VOL.57, NO.2, pp. 307-312, JUNE.2011.

Because these samples were warm rolled at 480°C, acceptable confidence indices were obtained for pattern indexing even after very large rolling reductions : 80% or more of the data points presented confidence indices equal or higher than 0.1.
The Vickers hardness data, which displayed a continuous increase of HV3 from 155 after the first pass to 250 after the tenth pass, showed that no static recrystallization had occurred during the interpass reheating to 520°C.
The orientation scans presented in Fig. 1 were obtained without clean up procedures and the black regions represent data points for which the confidence index (CI) is less than the critical value of 0.1.
But in order to perform a more detailed analysis of the data, a clean up procedure was applied in the raw data.
According to this procedure, questionable data points, that could not be properly indexed, points with CI<0.1, were replaced by neighboring data points that could be indexed with sufficient confidence (CI≥0.1).