Search results

(1) Topology.
Smart Grid., vo.4, no. 1, March, 2013, pp.479–488
Smart Grid., vo.4, no. 1, March 2013, pp.586–595
Smart Grid., vo.4, no. 1, March 2013, pp.467–478
Smart Grid., vo.3, no. 1, March 2012, pp.551–558

Fig. 1.
Table 1.
Table 1.
References [1] G.
Sleep Med., vol. 1313, no. 3, pp. 479–504, 2017, doi: 10.5664/jcsm.6506

(1) (2) Where Rn> 1, the points are in a random layout; Rn= 1, the points are in a dispersed layout; Rn< 1, the element is in a clustered layout.
References [1]Jackson J, 2006.
Progress in Geography, 26(2)：1-13.
On Economic Problems, (1):121-123.
Journal of Guilin Institution of Tourism,18(4)：479-483.

Table 1 showed details of the theoretical model: the factors, items and definitions.
References [1] Herlocker, J.
Acm Transactions on Information Systems Vol. 22, 1(2004), P. 5-53
Behaviour & Information Technology Vol. 29, 1(2010), P. 57-83
Decision Support Systems Vol. 48, 3(2010), P. 470-479

Fig. 1.
IOP Publishing, 708 (1) (2019) p. 012058
Innovative Infrastructure Solutions, 1. 1–51
Minerals, 10(5) (2020) 479
Earthq Eng Struct Dyn, 40(1) (2011) 93–105

Jia [14] conducted FT-IR analysis of unmodified and VTES-modified nanosilica, getting characteristic peaks including 1100~1000 cm-1, 950~900 cm-1, 3430 cm-1, and 1650 cm-1 corresponding to u(Si-O-Si), u(Si-OH), u(nanosilica’s O-H), and u(C=C), respectively.
References [1] X.H.
Vol. 237(1-4) (2004), p. 398 [11] H.
Zou: Plastics Additives. 2006 (6):1-5(In Chinese) [38] C.F.
Vol. 479 (2005), p. 216 [69] Z.

The refined structural parameters are given in table 1.
The upper limit of the Fourier transform of the data was set until Qmax=7 Å-1.
References [1] H.
Vol.27 (2004), No. (1)
Alloy and compounds, 479, (2009) 26-31

Factors (input parameters) and factor levels are shown in Table 1.
Table 1.
Factors level combinations and responses Temp( 0C) Ra(µm) F V H T Run R3 R2 R1 R3 R2 R1 63.2 101.7 106.7 3.580* 0.651 0.715 0.08 37.76 49 1 1 85.6 8.1 73 1.012 1.014 1.109 0.16 75.52 55 1 2 67.7 69.4 66.1 2.320 2.239 2.006 0.24 107.24 61 1 3 82.9 69.4 83.9 1.105 1.083 1.070 0.16 37.76 49 1 4 109.4 99 35 0.521 0.757 0.619 0.24 75.52 49 2 5 117.7 157.7 127.1 3.204* 0.342 0.343 0.08 107.24 61 1 6 84.1 88.2 80.7 0.925 1.157 1.029 0.16 75.52 49 1 7 72.3 66.1 69.4 2.511 2.755 2.300 0.24 107.24 55 1 8 77.1 99 116.5 3.656* 0.426 0.419 0.08 37.76 61 1 9 80.8 80.5 74 2.293 2.325 2.422 0.24 107.24 49 1 10 101.6 93.5 143.8 4.782* 0.689 0.353 0.08 37.76 55 1 11 86.4 82.3 82.1 1.111 1.015 1.062 0.16 75.52 61 1 12 88.8 93.9 85.2 0.619 0.789 0.810 0.16 107.24 49 2 13 94.7 78.4 75.9
References [1] Hodgson, T., Trendler, P.
F, "Turning hardened Tool Steels with Cubic Boron Nitride Inserts", Annals of CIRP, Vol. 30(1), pp. 63-66, (1981) [2] Özel, T., and Karpat, Y., "Predictive Modeling of Surfsce Roughness and Tool Wear in Hard Turning Using Regression and Neural Networks", International Journal of Machine Tools and Manufacture, 45, pp.467-479, (2005)

Garcia-Romeu 1,b, J.
These systems objective is to reach the isothermal extrusion [1].
Table 1.
Correlation matrix among variables for tube shapes r W ER n min tW CCD P PT SF FF L Rm A TE W 1,00 - - - - - - - - - - - - ER -0,63 1,00 - - - - - - - - - - - n -0,43 -0,16 1,00 - - - - - - - - - - min tW 0,27 -0,49 -0,25 1,00 - - - - - - - - - CCD 0,42 -0,66 0,26 0,02 1,00 - - - - - - - - P 0,88 -0,34 -0,63 0,09 0,36 1,00 - - - - - - - PT 0,55 -0,60 0,37 -0,18 0,70 0,48 1,00 - - - - - - SF -0,55 0,16 0,90 -0,41 0,06 -0,60 0,27 1,00 - - - - - FF 0,06 -0,05 0,42 -0,64 0,59 0,08 0,53 0,41 1,00 - - - - L -0,02 -0,46 0,34 0,19 0,28 -0,23 0,10 0,24 0,08 1,00 - - - Rm 0,11 -0,02 0,10 0,23 0,29 0,14 0,20 0,26 0,05 0,14 1,00 - - A -0,09 -0,01 -0,13 -0,08 -0,35 -0,16 -0,26 -0,30 -0,14 -0,13 -0,98 1,00 - TE 0,18 -0,17 0,01 0,35 0,33 0,19 0,21 0,00 0,16 -0,25 0,25 -0,18 1,00 For example if the shape factor (SF) was included in the model, would not be a good idea to include also the number of holes (n), (r=0,9) as independent variables because the determination
References [1] M.

Coal makes about 70 % of world reserves of energy resources [1].
Fig. 1.
Table 1. 
Accounting results of got chemical products realization cost Area 1 2 Total Chemical products output, ton per 1 ton of coal Resin 0.044 5 425 2 847 8 272 Benzol 0.037 4 562 2 394 6 956 Ammonia 0.099 12 206 6 406 18 612 Sulfur 0.074 9 124 4 788 13 912 Phenols 0.008 925 485 1 410 Ammonium 0.014 1 726 906 2 632 Cost of chemical products thsd. 
References [1].