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Online since: October 2011
Authors: Qi Li
Organization of the Text
1 Data Source and Research Method
1.1 Data source
Based on data from China energy statistics Yearbook and Anhui Statistical Yearbook, we collect the relevant data from 1990 to 2008 of resources consumption and environmental pollution in detail, and we select four indices, which include energy consumption, water consumption, SO2 discharge and COD discharge from ten thousand yuan output value, to reflect the influence of economic development on resource-environment system.
In figure 2, we can find that water consumption per ten thousand yuan is dwindling, from 632.84 m3 in 1998 to 264.81 m3 in 2008, showing an decrease by half and average annual reduction rates of 6.73 percents.
Figure 3 reflects that SO2 emission per ten thousand yuan has been declined steadily, from 67.59 kg in 1990 to 5.07 kg in 2008, showing an decrease of 91.56 percents and average annual reduction rates of 12.8 percents.
SO2 Emissions in Shandong Province and Its Reduction Potential Based on the Environmental Learning Curve[J].
A Study on the Environment Learning Curve and Energy Saving Resources and Emission Reduction Potential of Power Industry in China[J].
In figure 2, we can find that water consumption per ten thousand yuan is dwindling, from 632.84 m3 in 1998 to 264.81 m3 in 2008, showing an decrease by half and average annual reduction rates of 6.73 percents.
Figure 3 reflects that SO2 emission per ten thousand yuan has been declined steadily, from 67.59 kg in 1990 to 5.07 kg in 2008, showing an decrease of 91.56 percents and average annual reduction rates of 12.8 percents.
SO2 Emissions in Shandong Province and Its Reduction Potential Based on the Environmental Learning Curve[J].
A Study on the Environment Learning Curve and Energy Saving Resources and Emission Reduction Potential of Power Industry in China[J].
Online since: September 2013
Authors: Xiao Hui Cao, Chen Hai Guo, Ye Miao Zhao, Qing Zhen Ma
Fig. 1 Boundary element model Fig. 2 Location of the measure points
FEM/BEM Data Transmission
The main forces acting on the body are forces on the main bearing, unbalance inertia force, piston side stroke, explosion pressure of the cylinder head, etc.
This is called FEM/BEM data transmission.
In this paper, programming language is used to FEM/BEM data transmission.
The destination file (*.RST) calculated by FEM software is read by C programming language to take the data, then change the data into the one that can be calculated by BEM software.
Finally, put the data into the BEM calculation model to calculate.
This is called FEM/BEM data transmission.
In this paper, programming language is used to FEM/BEM data transmission.
The destination file (*.RST) calculated by FEM software is read by C programming language to take the data, then change the data into the one that can be calculated by BEM software.
Finally, put the data into the BEM calculation model to calculate.
Online since: April 2016
Authors: Oldrich Zmeskal, Jan Pospisil, Veronika Schmiedová, Viliam Vretenar
The influence of thermal reduction, rTh (200 °C, 20 min) and UV reduction, rUV (3 mW∙cm-2, 80 min) of the GO layers were studied because from the viewpoint of electrical properties it is necessary to remove the peak at about 300 nm, see Fig. 3).
Fig. 2: The visual character of prepared samples as seen in the optical microscope with a 10× magnifying lens: a) without reduction b) thermal reduction at 200 °C, 20 min. c) UV reduction 3 mW∙cm-2, 80 min., 3 layers inkjet printed.
Fig. 3: On the left absorption spectra of our GO (not reduction – black line, with UV reduction – red line and with thermal reduction – blue line); on the right absorption spectra of GO suspension in a 2 mm cuvette ranging from 200 to 900 nm [7].
Ellipsometric data were evaluated using the DeltaPsi2 Company Jobin Yvon Technology software.
The indexes were determined by spectroscopic ellipsometry and the obtained data were analyzed based on the developed model.
Fig. 2: The visual character of prepared samples as seen in the optical microscope with a 10× magnifying lens: a) without reduction b) thermal reduction at 200 °C, 20 min. c) UV reduction 3 mW∙cm-2, 80 min., 3 layers inkjet printed.
Fig. 3: On the left absorption spectra of our GO (not reduction – black line, with UV reduction – red line and with thermal reduction – blue line); on the right absorption spectra of GO suspension in a 2 mm cuvette ranging from 200 to 900 nm [7].
Ellipsometric data were evaluated using the DeltaPsi2 Company Jobin Yvon Technology software.
The indexes were determined by spectroscopic ellipsometry and the obtained data were analyzed based on the developed model.
Online since: December 2025
Authors: Waleed Ahmed, Kubilay Aslantas
Furthermore, while all specimens experienced load reductions after 25 cycles, the magnitude of these reductions varied based on the lattice configuration, with M3 exhibiting the highest load decay.
The data acquisition frequency for the force data during the experiment was 100Hz.
During the experiments, data was collected to understand the effects of different lattice geometries used in the design of the panels on the mechanical performance under repeated loading conditions.
The stress reduction in specimen M5 is also lower than in the other specimens.
• All specimens experienced load reductions after 25 loading cycles.
The data acquisition frequency for the force data during the experiment was 100Hz.
During the experiments, data was collected to understand the effects of different lattice geometries used in the design of the panels on the mechanical performance under repeated loading conditions.
The stress reduction in specimen M5 is also lower than in the other specimens.
• All specimens experienced load reductions after 25 loading cycles.
Online since: August 2013
Authors: Chun Fu Shao, Li Li Zhu
Fig. 2 Phase diagram
Traffic Flow Data
Evening peak-hour of the intersection is 17:30-18:30.
Table 1 shows the traffic flow data at 15min intervals.
Table 1 Peak-hour traffic flow data (pcu) Import Time North import South import East import West import Left Straight Right Left Right Left Straight Right Straight 17:30-17:45 57 54 136 0 121 1 58 2 183 17:45-18:00 40 44 118 0 106 3 58 0 176 18:00-18:15 34 51 100 1 105 0 44 0 186 18:15-18:30 50 47 106 0 111 1 55 1 171 Traffic Safety Problems and Risks The green island with dense tall trees makes a blind area in sight-triangle, which has a bad impact on driver’s judgment and reaction.
Table 2 lists part of the crash reduction factor statistics.
Table 2 Crash reduction factors (CRF) No.
Table 1 shows the traffic flow data at 15min intervals.
Table 1 Peak-hour traffic flow data (pcu) Import Time North import South import East import West import Left Straight Right Left Right Left Straight Right Straight 17:30-17:45 57 54 136 0 121 1 58 2 183 17:45-18:00 40 44 118 0 106 3 58 0 176 18:00-18:15 34 51 100 1 105 0 44 0 186 18:15-18:30 50 47 106 0 111 1 55 1 171 Traffic Safety Problems and Risks The green island with dense tall trees makes a blind area in sight-triangle, which has a bad impact on driver’s judgment and reaction.
Table 2 lists part of the crash reduction factor statistics.
Table 2 Crash reduction factors (CRF) No.
Online since: July 2015
Authors: Annamária R. Várkonyi-Kóczy, Balázs Tusor
A Hybrid Fuzzy-RBFN Filter for Data Classification
Balázs Tusor1,a *, Annamária R.
The suggested structure can efficiently be used for data classification.
In order to reduce the number of the neurons, the training data is clustered.
In both experiments, the training data pool consists of 10000 unique data samples generated from the problem domain.
The training of the hidden layer is achieved by clustering the training data.
The suggested structure can efficiently be used for data classification.
In order to reduce the number of the neurons, the training data is clustered.
In both experiments, the training data pool consists of 10000 unique data samples generated from the problem domain.
The training of the hidden layer is achieved by clustering the training data.
Online since: May 2012
Authors: Bei Dou Xi, Ming Xin Wang, Xun Feng Xia, Lin Yuan
However, data regarding the environmental effects of this program are urgently needed for scientific and objective assessment.
The data describing the planting unit was provided by the Linqing Agricultural Bureau.
Emissions reduction benefits.
The TP and NH3 emissions reduction contributed 79.78-83.20% to the eutrophication potential reduction benefits.
The acidification reduction index was 0.0140-0.0452, which also showed a significant emission reduction benefit.
The data describing the planting unit was provided by the Linqing Agricultural Bureau.
Emissions reduction benefits.
The TP and NH3 emissions reduction contributed 79.78-83.20% to the eutrophication potential reduction benefits.
The acidification reduction index was 0.0140-0.0452, which also showed a significant emission reduction benefit.
Online since: December 2012
Authors: Da Ming Huang, Chun Lan Yang, Ji Fen Xiong, Xiao Hui Liu
To obtain good structure and economic crusher is an important direction of improving and upgrading traditional product through weight reduction optimization [11].
Weight Reduction Optimization of Moving Jaw Build Mathematical Model.
Table.2 lists the results of moving jaw after weight reduction optimization by ANSYS.
The thickness of optimal position reduces by 27.49% the maximum von mises stress reduces from 199.77Mpa to187.30MPa, and the reduction is 6.24%; the displacement vector sum reduces from 0.2418mm to 0.2401mm, and the reduction is 0.7%.
Fig.7 The von mises stress pattern of moving jaw be optimized Fig.8 The displacement vector sum pattern of moving jaw be optimized Table. 2 The results of moving jaw after weight reduction optimization by ANSYS Optimization parameter Raw data Optimization result Round result Change rate A1(mm) 50.00 20.13 21.00 -58.00% A2(mm) 60.00 52.25 53.00 -11.67% A3(mm) 55.00 39.68 40.00 -27.27% A4(mm) 55.00 20.12 21.00 -61.82% A5(mm) 35.00 20.33 21.00 -28.00% A6(mm) 40.00 56.86 57.00 42.50% A7(mm) 41.50 30.40 31.00 -25.30% SMAX_Y(MPa) 199.77 198.60 187.30 -6.24% SMAX_W(mm) 0.2418 0.2418 0.2401 -0.70% Conclusion The important reasons that traditional products behind modern products are the unreasonable structural design, large size, heavy weight, much surplus intensity and stiffness, low utilization of material and high cost.
Weight Reduction Optimization of Moving Jaw Build Mathematical Model.
Table.2 lists the results of moving jaw after weight reduction optimization by ANSYS.
The thickness of optimal position reduces by 27.49% the maximum von mises stress reduces from 199.77Mpa to187.30MPa, and the reduction is 6.24%; the displacement vector sum reduces from 0.2418mm to 0.2401mm, and the reduction is 0.7%.
Fig.7 The von mises stress pattern of moving jaw be optimized Fig.8 The displacement vector sum pattern of moving jaw be optimized Table. 2 The results of moving jaw after weight reduction optimization by ANSYS Optimization parameter Raw data Optimization result Round result Change rate A1(mm) 50.00 20.13 21.00 -58.00% A2(mm) 60.00 52.25 53.00 -11.67% A3(mm) 55.00 39.68 40.00 -27.27% A4(mm) 55.00 20.12 21.00 -61.82% A5(mm) 35.00 20.33 21.00 -28.00% A6(mm) 40.00 56.86 57.00 42.50% A7(mm) 41.50 30.40 31.00 -25.30% SMAX_Y(MPa) 199.77 198.60 187.30 -6.24% SMAX_W(mm) 0.2418 0.2418 0.2401 -0.70% Conclusion The important reasons that traditional products behind modern products are the unreasonable structural design, large size, heavy weight, much surplus intensity and stiffness, low utilization of material and high cost.
Online since: October 2011
Authors: Li Qun Huang, Ya Zhen Li, Jing Guan, Jie Zhang
However, it reduced PAPR, increased of the data rate.
At the sender, the system employed the extra bits to protect the SI to recover data correctly.
It increased the channel resources and decreased the data rate.
Therefore,, where is the input data block with N independent modulated data symbols.
Since data symbols and comb-type pilot symbols, multiplying by the same phase factors.
At the sender, the system employed the extra bits to protect the SI to recover data correctly.
It increased the channel resources and decreased the data rate.
Therefore,, where is the input data block with N independent modulated data symbols.
Since data symbols and comb-type pilot symbols, multiplying by the same phase factors.
Online since: November 2010
Authors: Xue Li Wang, Da Qian Wang
Similarity browsing is achieved by keeping structure of data in high dimensional features space while mapping the features to 2D visualization space.
The dimension of image features is usually high, so dimension reduction techniques are needed to display high dimension data in 2D visualization space. [11] used MDS (Multi-Dimensional Scaling) to display images, and similar images are displayed close to each other.
Similarity functions can be designed in two major ways: manually designed and learnt from data.
Though there are several website programming languages, few of them can get data from the server asynchronously and have high computing power.
Ma., “Texture Features for Browsing and Retrieval of Image Data.
The dimension of image features is usually high, so dimension reduction techniques are needed to display high dimension data in 2D visualization space. [11] used MDS (Multi-Dimensional Scaling) to display images, and similar images are displayed close to each other.
Similarity functions can be designed in two major ways: manually designed and learnt from data.
Though there are several website programming languages, few of them can get data from the server asynchronously and have high computing power.
Ma., “Texture Features for Browsing and Retrieval of Image Data.