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Online since: June 2011
Authors: Cong Ren, Zhan Jun Liu, Cheng Chao Liang, Yang Wang
And we also normalize the data through the normalization constant and .
Now we give the adjacency matrix after data reduction.
Online since: December 2018
Authors: Leonardo Pantoli, Mirco Muttillo, Valeria Annibaldi, Marianna Rotilio
The choice has fallen on the most interesting and most widespread construction solution also for temporary structures, ie the X-Lam panel (Fig. 1) which, compared to traditional systems, can be manufactured in an industrial environment with a reduction of production lead time.
A prototype of the panel in real scale has been created to analyze it through a "Hot box" climatic chamber, comparing real behavior and theoretical data.
The temperature is monitored on the Outdoor and Indoor sides, ie the "external" and "internal" sides of the sample walls; the humidity on the Up and Down sides that represent the upper and lower bases of the sample walls Figures 3 and 4 show the trend of data collected in a 3-hour time-frame on 5 sample walls identified within the building.
Online since: July 2014
Authors: Heng Shao, Lin Du, Ye Hong Han, Ke Tan Chen
Step4: compute the general weight by the formula (3): = (3) Where which is the reliability of the conclusion is computed by plenty of historical data, and =, where =, ={|}, =. reflects objective factors of reasoning, and does not consider subjective factors, so the reliability of the conclusioncan be called objective weight of conclusion.
Pawlak: Rough sets and intelligent data analysis, Information Sciences, Vol. 147 (2002), p.1
[6] Hu Qinghua, Yu Daren, Xie Zongxia: Numerical Attribute Reduction Based on Neighborhood Granulation and Rough Approximation, Journal of Software, Vol. 03(2008), p.640
Online since: June 2014
Authors: H. Sekimoto, Zaki Suud
At the beginning we assume the power density level in each region and then we perform the burn-up calculation using the assumed data.
The burn-up calculation is performed using cell burn-up in SRAC code which then give eight energy group macroscopic cross section data to be used in two dimensional R-Z geometry multi groups diffusion calculation.
The reduction of U-238 stock at the last period of burn-up becomes the main cause of the Pu-239 atomic density decrease since 66th year.
Online since: February 2008
Authors: Wen Bin Cao, Yi Wei, Rong Liang He
All the particles of FNT had the extraordinary uniform morphology as approximatively spherical grain, and the radius of particles was uniformly distributed as about 10nm, which is consistence with the data from Scherrer's method.
Therefore it was deduced that the existence of Fe 2+ might result from the reduction by the electrons generated by the incident light on the surface of FNT, the transformation can be illustrated as: Fe 3+ + e → Fe 2+.
The XPS data shows that the Fe atoms and N atoms have been doped into the lattice of TiO2 powders.
Online since: March 2007
Authors: Ke Feng Cai, Q. Lei, L.C. Zhang, C. Yan
There have been many methods, such as solution-phase synthesis [10], chemical decomposition [11], biomolecule-assisted reduction method [12], surfactant-assisted method [13], hydrothermal synthesis [14], and polyol process [9], to prepare Te NWs or nanotubes.
The XRD pattern of sample 2 are almost the same as those of the reported data (JCPDS, 36-1452), but in the XRD pattern of sample 3 (Fig.3c) strong (hk0) reflection peaks and weak (hkl) reflection peaks (l≠0) are seen, which suggests that the sample 3 might have a preferential orientation of [0001] [14].
Fig.3 XRD pattern of sample 2 (b) and 3 (c), the reported data (JCPDS 36-1452) is also shown in (c) for comparison 20 30 40 50 60 70 c b a (203)(104) (211) (210) (113) (202) (103) (112) (201) (200) (003) (111) (110) (102) (101) (100) Intensity (a.u.) 2θ(degree) a JCPDS 36-1254 b Te spheres c Te treeand the second stage is the nucleation and epitaxial growth of buds onto the branches.
Online since: December 2011
Authors: Leo A.I. Kestens, Jurij J. Sidor, Roumen H. Petrov
Experimental Steel with a hot band ferrite – pearlite microstructure and a chemical composition (in mass%) of 0.12%C, 1.26%Si, 2.07% Mn, 0.013% P and 0.029%Al was cold rolled to a reduction of 95%.
All texture data are collected by EBSD.
Therefore, considering the EBSD data of Fig. 4b and the textures in Fig. 5b, c, it is reasonable to assume that at the temperatures up to 760°C (Fig. 5,c) the ferritic matrix has not yet recrystallized but possibly only recovered.
Online since: July 2011
Authors: Min Zhao, Wen Fu Wu, Ya Qiu Zhang
This threshold is also for a largest single seed, flow chart as follows: Y N Original image Pre-processing including noise reduction, smoothing and binarization According to initial statistics area A, set the split threshold A1 and mark the images For larger area, selecting a threshold of distance transform Watershed segmentation Determine whether the area is less than A Superimposed image and statistics number of kernels Area < A Then the regions are less than threshold is considered the single seed area which is also not involved in division to avoid over-segmentation phenomenon.
The angle of the triangle is given by the law of cosines: Y N Read image Coordinate data access Pixel count num,T with a pixel spacing j iType 0 for broken kernel, 1 full grain, large amounts of data were normalized to train the model.
Online since: May 2011
Authors: Li Zhen Ma, Ju Chu, Xiao Qing Ren
These LAB convert lactose into lactic acid resulting in a reduction in pH, which provokes changes in the protein casein.
Back extrusion was conducted using an A⁄BE back extrusion cell with 35mm disc, and the tests were run at the following settings: pre-test speed: 1.0 mm s-1 , test speed: 1.0 mm s-1, post-test speed: 10.0 mm s-1, distance: 20 mm, rate for data acquisition: 100 pps.
Unless otherwise stated, all the tests were performed twice and data were averaged.
Online since: June 2012
Authors: Man Soon Yoon, Young Geun Lee, Moon Kwan Choi, Soon Chul Ur, Il Ho Kim, Woong Jae Lee, Soon Yong Kweon
Especially, mechanical alloying (MA) process has been considered to be one of the optimal processing route [8,9], since it provides a fine grain size to improve thermoelectric efficiency by the reduction in lattice thermal conductivity [9].
Though the value seems to be low for application, but this is believed to be fundamental data for the future study.
Though the value seems to be low for application, but this is believed to be fundamental data for the future study.
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