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Analysis of published data point to essential influence of polarizing signal duration on quality of the formed coating.
It was noted that the reduction in the pulse duration significantly reduces the porosity of the coatings, and as a result, their physical and chemical properties are improved.
The analysis of electrochemical data showed an increase of the polarization resistance and a corresponding reduction of the corrosion current for PEO coatings formed with the microsecond pulses, as compared to PEO coatings obtained by the millisecond pulses at the thyristor unit.

Diesel engine is used in the main drive system through the coupling which drives power to the worm gear and worm reduction gear, using a roller chain, and then driving to the embedded arm.
Taking into account that the engine speed is relatively high, so we should choose a reduction gear worm and worm.
In the process from mapping to the modeling, continuously changing to regulate data and improve data, finally we result in a more reasonable model.

Thus, it is significant to correctly account CO2 emission from ceramics industry in China for low-carbon economy development and GHGs emission reduction.
A series of activity data of these enterprises in 2012, such as, the kind of fossil fuel, the consumption amount of fossil fuel, the lower calorific value of the fuel, the content of CaCO3 and MgCO3 in the feed, the utilization efficiency of the feed and the amount of feed, etc., were gained from these enterprises directly.
Table 1 CO2 emission from fossil fuel combustion (ECO2,com,y) Enterprise Activity data of fuel combustion Parameter of EFCO2 CO2 (t) Fuel FC NCV CCi ai,m A Coal water slurry 463.5 t 17.5 GJ/t 33.6 tc/TJ 90% 899.4 Diesel oil 2585.9 t 42.7 GJ/t 20.2 tc/TJ 98% 8014.7 Natural gas 1306.9 Nm3 389.3 GJ/Nm3 15.3 tc /TJ 99% 28542.3 Total emission 37456.4 B Natural gas 9531.1 Nm3 389.3 GJ/Nm3 15.3tc/TJ 99% 56202.3 Total emission 56202.3 *: ECO2,com,y =S (FCi,m,y ´ NCVi,m,y ´ EFCO2,i,m,y)= S (FCi,m,y ´ NCVi,y ´ CCi ´ ai,m ´ r1) Table 2 CO2 emission from the prodcution process (ECO2,pro,y) Enterprise Ceramics production process CO2 Feed (t) h (%) Ccaco (%) Cmgco (%) (t) A 94117.6 82 0.57% 0.16% 257.7 Total emission 257.7 B 179.7 80% 0.54% 0 0.34 53.0 80% 0 0.34 0.07 Total emission 0.41 *: ECO2,pro,y =S [(CCaCO3 ´ r2 + CMgCO3 ´ r3)´ Feedm,y´ h] Table 3 CO2 emission from the electricity consumption for ceramics production (ECO2,el, y) Enterprise Electricity
Based on the accounting and analysis of CO2 emission from these enterprises, it is helpful that the enterprises and government develop and apply effective technologies and policies for CO2 emission reduction.

Discharge method was stand for 1 h in different stated temperature, and then discharged in constant current at 1C until the voltage dropped to cutoff voltage 2 V, calculated released capacity; ③ Developing experimental program : In this experiment, 25 ℃ was set as temperature test basis points , firstly low-temperature performance testing was conducted , starting from 25 ℃ to -40 ℃, made 0 ℃, -10 ℃, -20 ℃, -40 ℃ as visits point respectively, the rate of temperature changing is 1 ℃ / min, at each temperature test point , the test batteries were shelved for 24 h before temperature performance test under the temperature point ; then high temperature performance test battery was conducted , resume the high and low temperature test chamber to 25 ℃, in order to eliminate produced by low-temperature impact test , and the data measured was used as a reference point for high-temperature testing , followed by a high-temperature performance of the test battery , started from 25 ℃ to 60 ℃, discharge
capacities of different lithium- ion batteries were investigated under 1C; ④ When the high and low temperature test chamber reached the set temperature stably, put a single experimental tank lithium-ion battery which standard voltage is 3.2 V after standing for 1 day in the chamber insulating for 1 h, made it reach to thermal equilibrium ; ⑤ Switch on discharge circuit to start the experiment , did not shut off the discharge circuit during the experiment to measure the actual voltage ; ⑥ When the battery discharged to a cutoff voltage of 2.0 V, stopped the discharge , analyzed and processed the data .
Fig. 1 The discharge capacity of Batteries Fig. 2 The discharge curve of Batteries at different temperatures at different temperatures Fig. 3 The discharge curve of Batteries at -20℃ Fig. 4 The discharge curve of Batteries at -40℃ From Fig.1 and Fig.2, it can be seen that the discharge capacity of nano LiFePO4 Power Batteries would reduce with the declining of temperature, because under the condition of low temperature, the concentration of battery electrolyte increases, which leads to a slow rate of lithium ion deintercalated from anode materials, In addition, as the internal resistance of the battery becomes larger, discharge cut-off voltage of the lithium-ion battery is reached In advance, resulting the decrease of its discharge capacity, as well as the reduction in discharge efficiency[3,4].
Physical characteristics of the electrode materials of lithium batteries will decay irreversibly under the condition of high temperature, and the reaction of electrode materials will weaken, so the decrease of its discharge capacity, as well as the reduction in discharge efficiency.

Practice: the open-loop system , an appropriate amplitude step signal output by the controller, so that the pump speed is increased to a certain extent , and then record the change in water pressure process, in accordance with the input and output data to identify.
Fuzzy PID control system simulation Simulation, the system can use the oscilloscope output data can be stored in the MATLAB workspace variable specified curve will be output to a separate window , and then use the drawing commands in the MATLAB environment .
Fuzzy PID controller, the the PID three parameters to achieve line adjustment control system phase jump response curve overshoot , the system greatly shorten the transition time, reduction of the oscillation frequency, the system showed better stability.
The simulation results show that the fuzzy PID controller parameter adaptive, control system response speed, overshoot to be reduced , the transition time is greatly reduced, reduction in the number of oscillations, stability and strong robustness, these are simply the PID control is difficult to achieve.

The technology evolution of the steering system provides a significant reduction in energy consumption.
To define energy efficiency in these hydraulic pumps were utilized data from the open literature.
In EHPS pump energy consumption was calculated from data of system maximum pressure, oil flow and pump efficiency.
In EPS, the energy consumption by the electrical motor during assistance was defined based on data from literature.
The Fig. 2 presents a simulation using data of Table 1.

The algorithm is shown as below: (1) preprocessing: Using the dimension reduction methods such as MNF transform to reduce the dimensionality to be p-1
Since it is on planet platform, images are strongly affected by atmospheric factors.The experiments and analysis were taken to evaluate the six EEAs using the synthetic and real hyperspectral image data.
To assess performance of the algorithm for the endmember extraction from different noise contaminated data sources, different Gaussian White Noise were added into the synthetic data using the AWGN function in the Fig.3 Change detection results of HR image (a) original image; (b) change detection with preliminary endmember; (c) classification with Optimized ICA algorithm Matlab oftware.
PCA-based land-use change detection and analysis using multitemporal and multi- sensor satellite data.
Use of filter vectors in hyperspectral data analysis.

The major drawback of this conventional treatment method is the high cost of chemicals used for the reduction purposes and incomplete reduction of Cr (VI), which may produce toxic sludge due to surface adsorption of Cr (VI) onto the Cr (III) hydroxide precipitate.
The experimental adsorption data were fitted measure with the Langmuir and Freundlich equations.
Adsorption parameters and the correlation coefficients of the curves were calculated from the adsorption isotherm data.
The experimental data from the batch sorption study of chromium removal were plotted logarithmically (Fig. 6) using the linear Freundlich isotherm equation and the linear Freundlich isotherm constants are presented in Table 2.
The experimental chromium (VI) adsorption data for NHT and its heated products fitted well to the Langmuir model to monolayer adsortion and Freundlich to sorption multilayer, indicative to saturation in the mesoporous and intersheets.

Table 1 presents the X-ray diffraction data for the Ti-nitride and its indexing as a face-centered cubic phase (structure NaCl type, Pearson symbol cF8 and space group Fm3m), with a lattice parameter of 0.42517 nm.
Observed and calculated X-ray powder diffraction data for TiN.
Observed and calculated X-ray powder diffraction data for TiC.
Observed and calculated X-ray powder diffraction data for Ti-carbosulfide.
Solution annealing heat treatment at 1130 °C for 30 minutes after 25% reduction by cold swaging represents a suitable compromise between phase dissolution and grain growth.

Each sample was run in three replicates and the data presented here are the averages of the three measurements.
TG and DTG curves of pure ABS, PBCL and different ABS composites with a 30 wt% total loading level of flame retardants in a nitrogen atmosphere are shown in Fig. 1; a collective summary of TGA data is given in Table 2.
Table 2 TG and DTG data of ABS, PBCL and ABS/APP/PBCL blends.
The LOI data and the char residue of ABS and its flame retardant samples were shown in Table 3 and Fig. 2.
Although addition of 25 phr APP with the reduction in the amount of PBCL only reduced the peak HRR of PP 1.8% more, the THR dropped obviously from 41 to 28 KJ/g with a reduction of 31.7% compared with pure ABS, indicating a good synergism of APP and PBCL in ABS resin.