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Good interfacial adhesion means efficient load transfer from matrix to fibers, reduction of internal stress concentration in composites, and enhancement of overall mechanics properties.
It is necessary to compare the strength reduction caused by each modification method, and analyze its tensile strength, since the tensile strength of the fiber is sensitive to conditions of surface treatment, leading to considerable strength reduction probably, particularly in the cases of acid treatments.
Weibull distribution model was used to describe the distribution of tensile strength data, which provided insight into the distribution of flaws within the fiber.
However, the Weibull distribution model cannot be applied in the analysis unless the strength data have been checked by the Hypothetical test, so the Kolmogorov–Smirnov test[9] has been applied to validate the results.
This goodness-of-fit test was applied to fatigue-life data of PBO fiber at all the stress levels and it was found that the model was acceptable at 5% level of significance.

Table1 The data of the model Name Mass/Kg Bucket 7798 Lift arm component 1.28´103 Connecting rod 28 Rocker arm 135 Tilt cylinder 80 Machine frame 1.1´104 Modeling and Simulation.
Although this way can record the graphic file of the model, it loses most of data file. 3) The model is built in Pro/E and the constraints and the load are added to it in Mech/pro2005, a interface software, which is developed cooperatively by PTC corporation and MDI corporation, and then the model with constraints and load is imported to ADMS.
Data of model is shown in Table 1, and the simulation model of the whole machine is shown as Fig.3.
Parameters of bucket on vertical direction are tested to evaluate the effect of the vibration reduction system.
Hydropneumatic Vibration Reduction System Module of Wheel Loader and Its Evaluation.

The data collected and processed were the total time for entire processes and setup, and the condition of the production floor.
Existing State Map Production data for cycle time, setup time, and frequency for each workstation can be seen in Table 1.
In the work standard table, by calculating one cycle for the entire process, it was found that MUDA data was larger than Primary activities value.
The reduction of processing time was caused by the improvement of effectiveness of working elements on each process.
After implementation of new work standard, comparison data of before and after for the production setup process were obtained.

In this study, we propose a technique for fabricating L12-FePd3-Al2O3 films and report experimental data on their magnetic and structural properties.
Hans Goldschmidt for reduction of metal oxides with the use of aluminum powders in highly exothermic reactions of the type Fe2O3 + 2Al ® 2Fe + Al2O3 [13].
According to the magnetic measurement and X-ray data, the growth of the Fe and Pd layers corresponds to the orientation relationships Fe(001)[110]||Pd(001)[001]||MgO(001)[001].
According to the X-ray (Fig. 1c) and magnetic measurement (Fig. 2) data, annealing at 500 °С leads to the formation of the FeхPd solid solution and reduction of the a-Fe2O3 hematite to the oxide with a lower oxygen content (Fe3O4 magnetite) with the simultaneous formation of Al2O3.
It can be seen that the maximum values of НС (~ 200 Oe) correspond to annealing at 400 °С, i.e., the formation of the FexPd solid solution and magnetite phases, according to the X-ray data.

Analysis of the data was made by evaluation of theoretical properties of different dyes and comparison of the results with different technical properties of correspondent dyes, reported in the literature.
Data, reported by G.
A large data set of vat dyes in leuco-form (hydroxyanthraquinone derivatives) was analyzed in our study [11] on the basis of the experimental results of the work [12].
It is worth saying that Fabian et al [13] also studied this data set.
In this case destruction of dye molecules follows reduction mechanism due to sulphur atom in thiophene moiety.

The latter condition implies that crack densities used in data reduction should be significantly lower than the saturation value [3] ρk,max when the distance between cracks ≈tk.
Data following Weibull distribution will have linear dependence.
Using linear fit to these data we obtain parameters m and σin0.
In Fig. 2 the Monte Carlo simulation results are compared with experimental data.
Experimental data are presented with symbols, three simulations as curves.

After each loading level, computer collects data, and records each dial indicator reading, pause for 10 minutes and then load the next level.
Table 3 Holing Ratio and ultimate bearing capacity reduction factor （） （） 4 0.806 16 0.641 6.25 0.762 20.25 0.605 9 0.719 22.7 0.587 12.25 0.679 25 0.571 It can be seen from the above table, when , the bearing capacity of floor reduce significantly, only 76.2% of the full board.
With the increase of with holing Ratio , the bearing capacity of floor decreases, but the reduction trend is slowing gradually.
According to the experimental data, ultimate load of plate B1 is 270KN, ultimate load of plate B2 is 220KN, so , which conforms theoretical calculations basically.
Experiment phenomena and the experimental data indicate that, because of the existence of hole weakening the strength of the board, holing ratio in this experiment is 4%, the bearing capacity reduce18.5%.To the different positions of opening the board, weakened level of the strength of board are: plate with side hole < plate with angle hole< plate with middle hole, the ultimate bearing capacity are: plate without hole > plate with side hole >plate with angle hole> plate with middle hole.

A number of techniques are available for the synthesis of silver nanoparticles (AgNPs) including chemical reduction, photochemical, sonochemical, etc. [2].
Nanoparticles synthesis by reduction techniques involves plants and microorganisms as reducing agents.
Reduction of Ag+ to Ag0 was confirmed by the colour change of solution from colourless to brown.
The analysis of UV-Visible spectroscopy data showed an appearance of surface plasmon resonance peak (SPR) at the wavelength range of 465–473 nm, which corresponds to AgNPs production.
XRD patterns of synthesized AgNPs showed that all of the main peaks were indexed as AgNPs with the face centered cubic (fcc) lattice of silver, as shown in the standard data (JCPDS file No.01-087-0719).

The atmospheric data monitored by the authorities show that 45% to 60% of the nitrogen oxide and 85% of the carbon monoxide in the air are from vehicle emission.
With the comparison between these three parameter systems, the system based on types of participating industry is easy to understand but the data is usually inaccurate; the system based on individuals can obtain the precise data but is hard to apply.
In this paper, the welfare of environment improvement can be measured by emission reduction per greener vehicle contributes[6].
Therefore, once the relevant data can be determined,the environmental improvement effectiveness of urban rail transit can be calculated.
Then we use the calculation model of environmental influence cost per km per bus to measure the pollutant reduction results from appearance of the urban rail transit.

Low Carbon Green Growth Policy 2.1 Target Management System Target Management System is aimed at achieving the national greenhouse gas emissions reduction target (a 30% reduction from the estimated emissions in 2020) and creating the driving power for green growth.
The system is applied to impose the targets of greenhouse gas emissions reduction and energy saving on large-scale businesses which emit a lot of greenhouse gas and consume massive energy, and to manage the targets.

Power expansion planning model outline Case Study 4.1 Scenarios In this paper, various scenarios were analyzed on the basis of the data of the 5th Plan on Electricity Demand and Supply.
Types of the plants Thermal Coal, LNG, Oil Renewable Onshore Wind, Offshore Wind, Wood Pellet, Fuel Cell, PV Data for each electric power sources Coal LNG Oil Onshore Wind Fuel cost [KRW/kWh] 43.73 120.43 255.28 0 O&M cost [KRW/kW] 43,164 17,268 13,858 33,684 Unit capacity [MW] 500 200 200 40 Weighting of emission [tC/MWh] 1.02 0.559 0.782 0 Offshore Wind Wood Pellet Fuel Cell PV Fuel cost [KRW/kWh] 0 153 111 0 O&M cost [KRW/kW] 63,996 406,548 420,000 31,248 Unit capacity [MW] 100 50 30 10 Weighting of emission [tC/MWh] 0 0 0 0 Weighting of REC and avail-ability of renewable generators Onshore Wind Offshore Wind Wood Pellet Fuel Cell PV Weighting of REC 1.0 1.5 1.0 2.0 1.0 Avail-ability rate [%] 0.27 0.35 0.75 0.9 0.15 Yearly demands and datas for RPS Year 2012 2013 2014 2015 2016 Maximum demand [MW] 8,930 9,145 9,362 9,601 9,839 REC price [KRW/REC] 65.0 65.0 65.0 65.0 65.0 PV REC price [KRW/REC] 165.0 165.0 165.0
In this paper, to find the strategy establishment methodology for power producers to respond to Low Carbon Green Growth Policy and to design a relevant model, this researcher analyzed domestic greenhouse gas emissions reduction policies, their effects, and the current state of each greenhouse gas emissions reduction program, and developed the power plant construction planning model reflecting greenhouse gas emissions reduction policy In addition, this researcher analyzed various scenarios with the model to draw GENCO's response strategy for greenhouse gas emissions reduction policy.

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