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Fig.2 IEEE 30-bus test system Table.1 Characteristics of test systems serial number District Number Contact lines Boundary points 1 2 1 4 2 3 3 7 3 4 5 10 Taking three-regions interconnected electricity networks interconnection of IEEE 30 system as an example, the following four kinds of algorithms are compared that three-regions interconnected electricity networks interconnection of IEEE 30 system are as an example.
Therefore, the parallel algorithms for collaborative optimization using multiple processors have good prospects for larger systems, and the distributed parallel processing is also consistent with the status of various regional power interconnection networks. 26 1 2 5 7 28 3 4 12 16 17 10 14 18 20 22 21 27 15 19 30 23 24 29 25 G2 G1 G6 G4 G3 G5 Table.3 Generator output adjustment by algorithm given in this paper Bus Number 4 6 10 11 16 23 24 Initial output of Region A / MW 112.2 112.2 115 230 134 129 200 adjust output of Region A / MW 112.2 112.2 116.5 212.2 134 145.2 200 Initial output of Region B / MW 78.5 78.5 55 211.8 219.7 115 112.6 adjust output of Region B / MW 78.5 81.5 45.2 189.8 219.7 115 118.4 Initial output of Region C / MW 99.7 99.7 109.2 300.4 189 120 100 adjust output of Region C / MW 99.7 99.7 109.2 300.4
Coarse-grained distributed optimal power flow.

The total element number is about 20000.
In shop floor, it is considered by experience that small feed, large reduction and high speed in acceptable range could give a large average strain which is beneficial for breaking down large size grain and improving internal quality of forged billet.
Figure 6 Illustration of data acquisition lines The average effective strain data in each data acquisition line is noted as follows, i=0, 1, 2, 3, 4 (1) where i represents the number of data acquisition line, j represents the number of effective strain data in the selected data acquisition line, represents the effect strain data point in the selected data acquisition line.

The dominant peak (2θ =31.71o) representing the (111) orientation is consistent with the standard data (JCPDS card number: 39-0354) with lattice constants, a = 0.4329 nm, b = 1.1192 nm and c = 0.3984 nm for orthorhombic-structured SnS [5,6,11].
It can be seen that the film consists of uniform and high-density nanoflakes grain morphology.
Moreover, the substrate surface was entirely covered with nanoflakes, as a result increasing the number of nucleation sites.
As expected, illumination by higher power densities leads to more photon flux density, resulting in more number of electron-hole pairs generated [15,16].

As a solution to these problems, fixed-abrasive wire saws are produced by electroplating process, electrical discharge machining, bonding with resin agent or mechanical embedding of abrasive grains into piano wires [2-5].
The mesh number of diamond particles is 270# in the experiment.
Abrasive particles distribution density of diamond wire saw, namely the number of the abrasive particles on unit length size, is another important effect on the slicing performance of diamond wire saw.
We can change the number of diamond abrasive particles to control the abrasive particles distributing density of diamond wire saw by change rotation speed of powder feeder motor.

The degree of desorption, the rate of adsorption, the pressure of the gas are proportional to the number of gas molecules per unit volume and the viscosity of the molecules for adsorption.
Before use, the zeolite was dried in the muffle furnace at 400⁰C for 6 hours, sieved to a size of 2 mm and obtained as homogeneous grains using a sample divider.
The degree of desorption, adsorption rate, liquid pressure is proportional to the number of metal molecules per unit volume and the concentration of molecules for adsorption. 3.
The degree of desorption, adsorption rate, liquid pressure is proportional to the number of metal molecules per unit volume and the concentration of molecules for adsorption.

Conventional damage mechanics studies, since then, are getting of prosperity by probabilistic theory: damage evolution functions of solid structure under random loading condition were, based on micro-mechanics-model, set up by Silberschmidt and Chaboche[2]; damage-rupture development mechanism on discontinuous stochastic composite material reinforced by fibers was analyzed with statistics by Wu and Li [3]; mechanical characters of solid brittle material coupled with plane grain cracks submitting to correlated random distribution were investigated by Ju and Tseng who, on the basis of micro-mechanics and mean-volume theory, invited Legedre-Tchebycheff orthogonal polynomial algorithm into analyses[4]; by the help of flat noise generator simulation for random factors influential over medium damage mechanism from both external and internal aspects, continuous damage mechanics was furthered by Silberschmidt based on his early studies [5].
Acknowledgements This work was supported by the National Natural Science Funds (Grant No: 51109118), the China Postdoctoral Science Foundation (Grant No: 20100470344), Fundamental project fund of Zhejiang Ocean University (Serial number: 21045032610), Initiating project fund for doctors of Zhejiang Ocean University (Serial number: 21045011909) and Project of Education Department in Zhejiang (Serial number: Z201119560) References [1] W.

This issue has been researched by only a small number of scientific groups so far [4, 5], although these lime and limestone properties are essential to the processes in steel production.
Crystallite can be considered a number of cells with crystalline structure that are systematically linked and are creating coherently diffracting domain.
β=B2-b2 (2) β… Full peak width at half maximum height after correction [rad] b… error of peaks due to imperfections of the device [rad] Scherrer equation after modification [13]: L=K∙λcosθ∙1B2-b2 (3) Scherrer constant K is shape factor and takes values according to the shape of the grains.
Acknowledgements This work was financially supported by BUT student research project number: FAST-J-20-6520 “Influence of genesis and type of limestone on the process of decarbonation and the CaO sintering process” References [1] J.

According to the millimicro-level surface roughness obtained after polishing for metal sample and mainly based on microcosmic theory, this paper analyzes the relationship between polishing energy and metal crystal atomic binding force, atomic binding bond , atomic binding energy, metal crystal structure, existent point defect on metal surface, lattice defect energy, blade and spiral dislocation energy, crystal interface structure and grain-boundary energy, surface and surface energy, defects such as roughness.
Journal Title and Volume Number (to be inserted by the publisher) 477 Fig.1 The experimental device of ice disk polishing Experiment Results.
Compared with inner atoms in crystal, the atoms on free surface have higher atomic energy because the number of nearby bonds decreases.
During Journal Title and Volume Number (to be inserted by the publisher) 479 sliding friction, the surface rough peaks collide with each other at high speed.

The main contents of the questionnaire are about expenses on food, clothes, living, communication, transportation, education, medical treatment, household equipment and human relationship, and food consumption is subdivided into grain consumption, vegetables consumption, fruit consumption and consumptions on meat, eggs and milk, etc.
In each town, some samples were taken to calculate mean value to be used doing factor analysis, while the mean of calculating mean value is as follow: xij are the data of line i and column j after processed; ymn are the data of line i and column j before processed; kl is the number of samples of town l, .
Factor analysis Using SPSS 20.0, this paper, on the basis of correlation test about the 10 factors affecting household consumption structure, took the method of principal component analysis and varimax rotation to judge the number of common factors through characteristic root, variance contribution and cumulative variance contribution, and on this basis do some analysis about farmer household consumption structure of Hainan province. 3.1 Mathematical model of factor analysis The objective of factor analysis is to describe the relationship among multi-index or multi-factor with a few factors, and its basis thought is to find a few random variables controlling all variable through the study on the interior structure of correlation matrix, to describe multiple variables.
Characteristic value is used to determine the number of factors, the criterion of which is characteristic value is bigger than 1.

Introduction Significant number of materials shows sensitivity to non-proportionality of loading [1,2], resulting in reduction of life and fatigue strength.
The numbers next to letters notify the value of coefficient λ multiplied by 10.
The proposed method, based on critical path idea, should be verified for greater number of materials and other cases of non-proportional loadings.
Jiang, Fatigue of polycrystalline copper with different grain sizes and texture, Int.