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Online since: June 2012
Authors: Bao Cheng He, Hong Tao Jiang
(1)Profitability Ratios.
SPSS17 software is applied for data processing [5] and the results are shown Table 1, Table 2, Table 3, Table 4, and Fig.1.
As is shown in the scree plot given in Fig.1, the number of principal components’ eigenvalues close to or greater than 1 is 4.
References [1] R.
Wichern, Applied Multivariate Statistical Analysis, 6th ed., Pearson Education, Inc. 2007, pp.430-479
SPSS17 software is applied for data processing [5] and the results are shown Table 1, Table 2, Table 3, Table 4, and Fig.1.
As is shown in the scree plot given in Fig.1, the number of principal components’ eigenvalues close to or greater than 1 is 4.
References [1] R.
Wichern, Applied Multivariate Statistical Analysis, 6th ed., Pearson Education, Inc. 2007, pp.430-479
Online since: November 2012
Authors: T. Korepanova, V.P. Matveenko, N. Sevodina
Fig. 1.
Eigenvalues with Reαi≤1 for a conical crack at ν1= ν2=0,3 and different values of G1/G2(▼-0,1;●-0,5;▲-1; -5; ■-10;♦-100) for the zeroth, first and second harmonics.
References [1] G.B.
Solids Structures. 13(1977) 479-492
Mech. 59(1) (1992) 61-68
Eigenvalues with Reαi≤1 for a conical crack at ν1= ν2=0,3 and different values of G1/G2(▼-0,1;●-0,5;▲-1; -5; ■-10;♦-100) for the zeroth, first and second harmonics.
References [1] G.B.
Solids Structures. 13(1977) 479-492
Mech. 59(1) (1992) 61-68
Online since: August 2013
Authors: Xia Liu, Jian Lu
In this MNL model, variables contain these influence factors: age (x1), employment status (x2), household income (x3), number of cars (x4), number of motorcycles (x5) and travel purpose (x6), as shown in the Table 2:
Table 2 Parameters of the travel mode choice model
Parameter
Characteristics
Value
x1
age
1 (18-29years); 2 (30-49years); 3 (≥50 years)
x2
employment status
1 (employed); 2(unemployed)
x3
household income
1 (≤¥20,000); 2 (¥20,000-¥50,000); 3 (≥¥50,000)
x4
number of cars
1 (none); 2 (1-2)
x5
number of motorcycles
1 (none); 2 (1-2); 3 (≥3)
x6
travel purpose
1 (work commute); 2 (recreation);
3 (visiting friends or relatives); 4 (others)
y
travel mode choice
1 (car); 2 (bus); 3 (motorcycle); 4 (walk)
Using walking (travel mode choice=4) as a reference and other travel modes as comparisons, different MNL models for men and women can be built.
Table 3 Parameter estimation result of travel mode choice model for men Travel mode choice 1 (car) 2 (bus) 3 (motorcycle) B Std.
Error intercept -1.738 1.030 -2.042 .614 1.377 .611 x1 -.725 .143 -.402 .086 -.869 .074 x2 -1.236 .393 -.749 .191 -2.253 .299 x3 .763 .109 .150 .072 .373 .059 x4 1.105 .519 .213 .503 -.469 .479 x5 -1.171 .723 .652 .207 1.222 .158 x6 .179 .068 .331 .042 -.012 .037 According to Table 3, travel mode choice model for men is: (1) (2) (3) According to Table 4, travel mode choice model for women is: (4) (5) (6) Likelihood ratio tests indicate that all regression coefficients of each model are statistically significant at the 95% confidence level (P<0.01).
References [1] Wachs, M: The Gender Gap: How Men and Women Developed Different Travel Patterns.
ITS Review, Vol. 20(1997), No. 2, pp. 1–2
Table 3 Parameter estimation result of travel mode choice model for men Travel mode choice 1 (car) 2 (bus) 3 (motorcycle) B Std.
Error intercept -1.738 1.030 -2.042 .614 1.377 .611 x1 -.725 .143 -.402 .086 -.869 .074 x2 -1.236 .393 -.749 .191 -2.253 .299 x3 .763 .109 .150 .072 .373 .059 x4 1.105 .519 .213 .503 -.469 .479 x5 -1.171 .723 .652 .207 1.222 .158 x6 .179 .068 .331 .042 -.012 .037 According to Table 3, travel mode choice model for men is: (1) (2) (3) According to Table 4, travel mode choice model for women is: (4) (5) (6) Likelihood ratio tests indicate that all regression coefficients of each model are statistically significant at the 95% confidence level (P<0.01).
References [1] Wachs, M: The Gender Gap: How Men and Women Developed Different Travel Patterns.
ITS Review, Vol. 20(1997), No. 2, pp. 1–2
Online since: January 2012
Authors: Ning Ning Xiu, Guo Quan Cheng, Zhuan Wang, Qing Hua Zhang
H is the fuel consumption of vehicle whose unit is liter/100 Km. is the name of Si.is the brand name of Si.is an integer whose value is 0 or 1, =1 means Si can brush Unionpay card.=0 means Si can’t. is an integer whose value is 0 or 1,=1 means Si has the fuel that vehicle needs,=0 means Si doesn’t have.UB stands for user preferred gas station brand set.
UE is an integer whose value is 0 or 1, UE=0 means that the user has no requirement of payment by Unionpay card, UE =1 means that the user wants to pay by Unionpay card. xi is an integer valuing 0 or 1, xi =0 means that Si is not selected, xi =1 means that gas station Si is selected.
Gas station should have the type of gasoline that vehicle needs (=1)
Table 1.
Transportation Research Part D: Transport and Environment, pp. 479--482(2008) [2] Shaheen; S.A. and T.E.
UE is an integer whose value is 0 or 1, UE=0 means that the user has no requirement of payment by Unionpay card, UE =1 means that the user wants to pay by Unionpay card. xi is an integer valuing 0 or 1, xi =0 means that Si is not selected, xi =1 means that gas station Si is selected.
Gas station should have the type of gasoline that vehicle needs (=1)
Table 1.
Transportation Research Part D: Transport and Environment, pp. 479--482(2008) [2] Shaheen; S.A. and T.E.
Online since: December 2012
Authors: Mei Mei Zhang, Jian An Liu, Wen He
Some results are reported in Table 1.
Fig. 1.
In the region of the internal modes of the phosphate anion, we identify the asymmetric stretching mode at ν1 =900-1000 cm−1, the doublet ν2 = 420–460cm−1, the triplets ν3 and ν4 in the regions 1000-1275 and 545–680 cm−1.
References [1] X.X..Xu,Z.Y.Wen,Z.H.Gu,etal.
Vol. 479 (2009),p. 684 [9] X.X..Xu,Z.Y.Wen,Z.H.Gu,etal.
Fig. 1.
In the region of the internal modes of the phosphate anion, we identify the asymmetric stretching mode at ν1 =900-1000 cm−1, the doublet ν2 = 420–460cm−1, the triplets ν3 and ν4 in the regions 1000-1275 and 545–680 cm−1.
References [1] X.X..Xu,Z.Y.Wen,Z.H.Gu,etal.
Vol. 479 (2009),p. 684 [9] X.X..Xu,Z.Y.Wen,Z.H.Gu,etal.
Online since: May 2010
Authors: Hai Sheng Song, Yan Long, Wei Liu, Guo Yu Feng, De Guang Fang, Zhi Hong Shen, Fu Xiang Guo, Wen Ku Shi
Fig.1 is subframe 3-D model and location
Fig.1 Subframe model and location Fig.2 Subframe grid model
2.2 Finite element model
2.2.1 Building finite element model
The 3-D model of subframe connected to frame is established using CATIA,shown in Fig.1.
The results indicate that: 1.
Order number Before optimization(Hz) After optimization(Hz) First 132.5 189 Second 202.3 195 Third 224 207 Fourth 406.6 436 Fifth 453.3 479 Sixth 679.8 690 Table 2 Subframe modal of changing structure The results indicate that: 1.
Conclusion 1.
Reference [1] ZHOU Fu ,JIN Xiao-xiong.
The results indicate that: 1.
Order number Before optimization(Hz) After optimization(Hz) First 132.5 189 Second 202.3 195 Third 224 207 Fourth 406.6 436 Fifth 453.3 479 Sixth 679.8 690 Table 2 Subframe modal of changing structure The results indicate that: 1.
Conclusion 1.
Reference [1] ZHOU Fu ,JIN Xiao-xiong.
Online since: August 2011
Authors: Jun Shimizu, Li Bo Zhou, Hirotaka Ojima, Sumio Kamiya, Yuki Mikami, Yoshiaki Tashiro
Manufacturing process of CMG wheels
Table 1.
References [1] H.
Shimizu: CIRP Annals, Vol. 50, 1(2001), p. 225
Kimura: CIRP, Vol. 55, 1(2006), p. 313
Sci. and Eng., Vol. 479(2008), p. 373
References [1] H.
Shimizu: CIRP Annals, Vol. 50, 1(2001), p. 225
Kimura: CIRP, Vol. 55, 1(2006), p. 313
Sci. and Eng., Vol. 479(2008), p. 373
Online since: February 2014
Authors: Zu Tong Wang, Tie Zhu Wang, Lu Pan, Qi Fang He
Remark 1.
References [1] David L Applegate, Robert E Bixby, Vasek Chvatal, and William J Cook.
In Evolutionary Multi-Criterion Optimization, pages 479–493.
Approximating the pareto curve with local search for the bicriteria tsp (1, 2) problem.
Theoretical Computer Science, 310(1):135–146, 2004.
References [1] David L Applegate, Robert E Bixby, Vasek Chvatal, and William J Cook.
In Evolutionary Multi-Criterion Optimization, pages 479–493.
Approximating the pareto curve with local search for the bicriteria tsp (1, 2) problem.
Theoretical Computer Science, 310(1):135–146, 2004.