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Online since: February 2014
Authors: Xiang Long, Xiong Yang, Xiao Qing Wu
Introduction
Today, model-based motion segmentation methods are widely researched in the world [1-3].
Its Brightness Constancy Equation is: , (1) So the vector v(u, v) is called the optical flow vector of the location (x, y) of the image.
From figure 1, we can find that there always are some locations, where the change of the brightness of pixels is very large.
References [1] D.
Li, “A map approach for joint motion estimation, segmentation, and super resolution,” IEEE Transactions on Image Processing, vol. 16, no. 2, pp. 479–490, 2007
Its Brightness Constancy Equation is: , (1) So the vector v(u, v) is called the optical flow vector of the location (x, y) of the image.
From figure 1, we can find that there always are some locations, where the change of the brightness of pixels is very large.
References [1] D.
Li, “A map approach for joint motion estimation, segmentation, and super resolution,” IEEE Transactions on Image Processing, vol. 16, no. 2, pp. 479–490, 2007
Online since: January 2015
Authors: Chang Xing Chen, Hui Fu, Yan Ming Zhao, Xu Jing Wang, Kun Qu, De Zhi Niu
Introduction
It is known that nanotechnology[1], with the key of nanoelectronic science, is one of the important content of science development and the basis of high technology in 21 century, which is the base for studying nanoelectronic device and collected circuit theory and technology.
Fig. 1 Track orbits with the two controllers Fig. 2 Track errors with the two controllers In addition, table l shows the two controllers’ simulation time exhausted.
REFERENCES [1] Lent C S, Tougaw P D, Berstein G H.
Superlattices and Microstructure, 1996,20(4): 473-479
Nanoscale System Dynamical Behaviors: From Quantum-Dot-Based Cell to 1-D Arrays.
Fig. 1 Track orbits with the two controllers Fig. 2 Track errors with the two controllers In addition, table l shows the two controllers’ simulation time exhausted.
REFERENCES [1] Lent C S, Tougaw P D, Berstein G H.
Superlattices and Microstructure, 1996,20(4): 473-479
Nanoscale System Dynamical Behaviors: From Quantum-Dot-Based Cell to 1-D Arrays.
Online since: September 2016
Authors: Meenakshi Sundaram Omkumar, Manickam Ravichandran, Arumugam Manikandan
Results show that addition of B4C improves the properties of Al-B4C composites.
1.
However, metal matrix composites are right choice for these applications because of their potential properties [1].
Fig.1.
References [1] S.
Alloys Compds, 479 (2009) 334–341
However, metal matrix composites are right choice for these applications because of their potential properties [1].
Fig.1.
References [1] S.
Alloys Compds, 479 (2009) 334–341
Online since: November 2007
Authors: Barry C. Muddle, Rimma Lapovok, Dacian Tomus, H.P. Ng, Colleen J. Bettles
One such novel technique is the process of Equal Channel Angular Extrusion (ECAE), which is
described schematically in Figure 1.
It has been found that ECAE enhances compaction in magnesium to full density very effectively [1].
Figure 1: Equal Channel Angular Extrusion: a - schematic of the processing; b - rig for elevated temperature processing.
References [1] R.Lapovok and, P.F.Thomson, in: Nanomaterials by Severe Plastic Deformation: Fundamentals - Processing - Applications, (2003), p.551 [2] R.Lapovok, D.Tomus and B.C.Muddle.
[9] M.Morinaga, Y.Murata and H.Yukawa: Mat Sci Forum 449-452 (2004), p.37 [10] M.Morinaga, M.Yoshino, A.Shimode, K.Okabayashi, H.Nakamatsu and R.Sekine: Mat Sci Forum 449-452 (2004), p.77 [11] M.Morinaga, Y.Murata and H.Yukawa: Mat Sci Forum 475-479 (2005), p.3099
It has been found that ECAE enhances compaction in magnesium to full density very effectively [1].
Figure 1: Equal Channel Angular Extrusion: a - schematic of the processing; b - rig for elevated temperature processing.
References [1] R.Lapovok and, P.F.Thomson, in: Nanomaterials by Severe Plastic Deformation: Fundamentals - Processing - Applications, (2003), p.551 [2] R.Lapovok, D.Tomus and B.C.Muddle.
[9] M.Morinaga, Y.Murata and H.Yukawa: Mat Sci Forum 449-452 (2004), p.37 [10] M.Morinaga, M.Yoshino, A.Shimode, K.Okabayashi, H.Nakamatsu and R.Sekine: Mat Sci Forum 449-452 (2004), p.77 [11] M.Morinaga, Y.Murata and H.Yukawa: Mat Sci Forum 475-479 (2005), p.3099
Online since: June 2011
Authors: D. Popovici, Gabi Jiga, Gheorghe Paltanea, Veronica Manescu Paltanea
By reducing size and mass of devices through MEMS technology, the performances of accelerometers, mass-flow sensors, bio-chips, RF devices have been improved [1].
a) b) Figure 1.
References [1] S.
Journal on Smart Sensing and Intelligent Systems, vol. 1 (2008), pp. 480-497
Conf. on Modeling and Simulation of Microsystems, 1998, pp. 474-479.
a) b) Figure 1.
References [1] S.
Journal on Smart Sensing and Intelligent Systems, vol. 1 (2008), pp. 480-497
Conf. on Modeling and Simulation of Microsystems, 1998, pp. 474-479.
Online since: May 2012
Authors: Nan Shi, Ying Fu, Hong Lan Li
However, the residual Al in finished water has accumulation harm to human body and animal tissue [1].
Table 1 Influence of dilution concentration on Zeta potential of coagulants Concentration[mol.L-1] 0.18 0.018 0.0018 0.00018 0.000018 SOPSF1 -3.55 -0.88 4.03 7.00 11.00 PFA 34.20 36.60 38.20 38.90 39.70 As shown in Table 1, when the concentration was high (0.18 mol.L-1), the Zeta potential of PFA was 34.2 mV, while SOPSF was negative charged.
While the Zeta potential of PFA, as 39.7 mV, was only 3.72 times that of SOPSF at concentration of 0.0018 mol.L-1, while 0.0018 mol.L-1 is just the real concentration of coagulants required during the coagulation process.
References [1] E.L.
Ehara, Eur Patent 479 219, CL.COZF 1/52 (1992)
Table 1 Influence of dilution concentration on Zeta potential of coagulants Concentration[mol.L-1] 0.18 0.018 0.0018 0.00018 0.000018 SOPSF1 -3.55 -0.88 4.03 7.00 11.00 PFA 34.20 36.60 38.20 38.90 39.70 As shown in Table 1, when the concentration was high (0.18 mol.L-1), the Zeta potential of PFA was 34.2 mV, while SOPSF was negative charged.
While the Zeta potential of PFA, as 39.7 mV, was only 3.72 times that of SOPSF at concentration of 0.0018 mol.L-1, while 0.0018 mol.L-1 is just the real concentration of coagulants required during the coagulation process.
References [1] E.L.
Ehara, Eur Patent 479 219, CL.COZF 1/52 (1992)
Online since: October 2008
Authors: T.Z. Cui, L.F. Xing, Guang Lin Wang, Dong Xiang Shao, Xu Dong Pan
Shao
1,a, T.Z.
Cui 1,b, G.L.
Wang 1,c , X.D.
Pan 1,d and L.F.
Reference [1] G.R.
Cui 1,b, G.L.
Wang 1,c , X.D.
Pan 1,d and L.F.
Reference [1] G.R.
Online since: September 2013
Authors: Anna Gorbenko, Vladimir Popov
Let
S = { a[1], a[2], ..., a[n], ..., b, c[1], c[2], ..., c[n], ... },
W = { S[1], S[2], ..., S[n] },
S[i] = bmc[i]A[i],
where
i Î { 1, 2, ..., n },
A[i] Î { a[1], a[2], ..., a[n], ... }*,
m = 1 + max { | A[1] |, | A[2] |, ..., | A[n] | }.
Selected experimental results are given in Table 1.
Table 1.
References [1] Gorbenko and V.
Popov (2012) Advanced Studies in Biology 4(25):479, 485 [6] Gorbenko and V.
Selected experimental results are given in Table 1.
Table 1.
References [1] Gorbenko and V.
Popov (2012) Advanced Studies in Biology 4(25):479, 485 [6] Gorbenko and V.
Online since: February 2013
Authors: Qing Yuan Chu
Although the image can be completely natural color reproduction (Fig. 1), but the disadvantage is that the atmospheric disturbances, shortwave scattering serious, Vegetation Information weak larger image texture detail loss; 1, 2 channel corresponding to the red channel and near-infrared channel, two RGB channels: 121 false color composite effect RGB: 143 (Fig. 2) is complementary, 250m channels for improving the resolution of the image is particularly important. 250m resolution 1,2 channel can be used for small water area of Diarchy Lake, and thus high-resolution image to do texture structure (Fig. 3) by the formula (1), which both have a high spatial resolution, along with the near-infrared spectral characteristics of the channel. 1-7 the channel characteristics are shown in Table 1
Fig. 1 500mRGB:141 Fig. 2 250mrgb:121 Fig. 3 High resolution image
A high-resolution image texture = (b1 1 channel
Table 1 Channel characteristics Resolution ratio Band name Band num Wavelength 250 Red 1 620-670 Far infrared 2 841-876 500 Green 3 459-479 Blue 4 545-565 Near-infrared 5 1230-1250 6 1628-1652 7 2105-2155 Spectral Characteristic Parameters and Chlorophyll Correlation Studies have shown that chlorophyll a, chlorophyll a content increased reflectance spectra of the water change, in the blue band 440 nm red band 678nm near significant absorption spectral reflectance curves of the water when the algae density is higher near the two bands the absorption peak appears.
Fig. 4 Final result of image fusing Fig. 5 Fusing result compare with chlorophyll-a of grand truth According to the results of correlation analysis, select 250m data ratio combination r 2 / r 1 as a factor built MODI S-based remote sensing monitoring model of chlorophyll a concentration.
Through a linear regression analysis, the model is as follows: (1) Wherein Cache- is concentration value of chlorophyll a; r 1, r 2 is MODIS 250m reflectance of the bands 1, 2. 500m and 1000m data is not highly correlated with the chlorophyll a concentration factor, these two sets of data, multiple regression modeling attempts.
Reference [1] YE Yong(2012) Preliminary Study on Water Quality Monitoring of the Dispersed Water Source Based on Remote Sensing Technology Journal of Anhui Agra Sci 1(4):241-245 [2] Zhu Ling- Ya,Wang Sh-I Xin,Zhou Yi,Yan Fu- Li,Yang Long- Yuan (2006) Determination of Chlorophyl-l a Concentration in Taihu Lake Using MODIS Image Data 2(4):122-125 [3] Zhagn Yun1, Feng Xuezhi1, Ma Ronghua2, Yong Bin3 (2002) Advances in Inland Water Chlorophyll-a Extraction by Remote Sensing Ecological environment 3(5):1557-1569 [4] Lahet F, Ouillon S.
Table 1 Channel characteristics Resolution ratio Band name Band num Wavelength 250 Red 1 620-670 Far infrared 2 841-876 500 Green 3 459-479 Blue 4 545-565 Near-infrared 5 1230-1250 6 1628-1652 7 2105-2155 Spectral Characteristic Parameters and Chlorophyll Correlation Studies have shown that chlorophyll a, chlorophyll a content increased reflectance spectra of the water change, in the blue band 440 nm red band 678nm near significant absorption spectral reflectance curves of the water when the algae density is higher near the two bands the absorption peak appears.
Fig. 4 Final result of image fusing Fig. 5 Fusing result compare with chlorophyll-a of grand truth According to the results of correlation analysis, select 250m data ratio combination r 2 / r 1 as a factor built MODI S-based remote sensing monitoring model of chlorophyll a concentration.
Through a linear regression analysis, the model is as follows: (1) Wherein Cache- is concentration value of chlorophyll a; r 1, r 2 is MODIS 250m reflectance of the bands 1, 2. 500m and 1000m data is not highly correlated with the chlorophyll a concentration factor, these two sets of data, multiple regression modeling attempts.
Reference [1] YE Yong(2012) Preliminary Study on Water Quality Monitoring of the Dispersed Water Source Based on Remote Sensing Technology Journal of Anhui Agra Sci 1(4):241-245 [2] Zhu Ling- Ya,Wang Sh-I Xin,Zhou Yi,Yan Fu- Li,Yang Long- Yuan (2006) Determination of Chlorophyl-l a Concentration in Taihu Lake Using MODIS Image Data 2(4):122-125 [3] Zhagn Yun1, Feng Xuezhi1, Ma Ronghua2, Yong Bin3 (2002) Advances in Inland Water Chlorophyll-a Extraction by Remote Sensing Ecological environment 3(5):1557-1569 [4] Lahet F, Ouillon S.
Online since: February 2012
Authors: Jun Yang, Li Bin Fu
Bolster casting entities shown in Figure 1, solidification sequence shown in Figure 2.
Based on these requirements, the chemical composition of bolster casting has been shown in Table 1.
Liquid metal starts filling 1.5s, start filling is not very smooth. the middle of the runner's speed relative to the sides a little faster.
(1)Pouring time 1.5s (2)Pouring time10.6s Fig. 6 The filling velocity field of the second gating system The riser and chill design and optimization The riser design According to riser design principles: (1) Where, f-riser safety coefficient, .
Mater. 8 (2006) 476–479
Based on these requirements, the chemical composition of bolster casting has been shown in Table 1.
Liquid metal starts filling 1.5s, start filling is not very smooth. the middle of the runner's speed relative to the sides a little faster.
(1)Pouring time 1.5s (2)Pouring time10.6s Fig. 6 The filling velocity field of the second gating system The riser and chill design and optimization The riser design According to riser design principles: (1) Where, f-riser safety coefficient, .
Mater. 8 (2006) 476–479