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Online since: August 2013
Authors: Kwing So Choi
After the state-of-the-art examination of the drag reduction performance, different views on the drag reduction mechanism are put in perspective.
The NASA’s results obtained by Walsh et al. [7] are shown in Fig. 2, which are compared with other data obtained elsewhere.
Squire et al. [8] measured the turbulent drag reduction with riblets at transonic speed in the Cambridge wind tunnel, while Gaudet’s data [9] comes from RAE’s transonic tunnel at M = 1.25.
Sullivan, Flight-test of turbulent skin-friction reduction by riblets, in: Turbulent Drag Reduction by Passive Means, Royal Aeron.
Morris, Drag reduction article, U.S.
The NASA’s results obtained by Walsh et al. [7] are shown in Fig. 2, which are compared with other data obtained elsewhere.
Squire et al. [8] measured the turbulent drag reduction with riblets at transonic speed in the Cambridge wind tunnel, while Gaudet’s data [9] comes from RAE’s transonic tunnel at M = 1.25.
Sullivan, Flight-test of turbulent skin-friction reduction by riblets, in: Turbulent Drag Reduction by Passive Means, Royal Aeron.
Morris, Drag reduction article, U.S.
Online since: September 2011
Authors: Jie Qin, Xun Xue, Jun Deng
Then CO2 emission is calculated in the RHF—EAF flow for treating V-Ti magnetite according to data from the pilot plant in Pangang Group.
Based on the data from design and real production the text calculated the quantum of CO2 emissions.
According to these data above we can calculate the ratio of blast furnace gas and coke oven gas and the result is that among the gas mixture blast furnace gas accounts for 60% ,of course the rest is coke oven gas.
The carbon content of metallized pellets is about 5% and the carbon content in the hot metal is around 2%.According to the mass balance calculation we can get the data of CO2 emissions to produce one ton hot metal.
The calculation is based on the energy consumption which is different from the calculation of the RHF-EAF process and all of the data come from the real production.
Based on the data from design and real production the text calculated the quantum of CO2 emissions.
According to these data above we can calculate the ratio of blast furnace gas and coke oven gas and the result is that among the gas mixture blast furnace gas accounts for 60% ,of course the rest is coke oven gas.
The carbon content of metallized pellets is about 5% and the carbon content in the hot metal is around 2%.According to the mass balance calculation we can get the data of CO2 emissions to produce one ton hot metal.
The calculation is based on the energy consumption which is different from the calculation of the RHF-EAF process and all of the data come from the real production.
Online since: July 2011
Authors: Teng Huang, Dong Zhang, Jing Cao Song
The whole process includes data capturing, noise reduction, sub-sampling and surface reconstruction.
The whole process includes data capturing, noise reduction, sub-sampling and surface reconstruction.
Data Preprocessing Data Registering.
Therefore, data filtering should be indispensable in point cloud data processing, which can improve work efficiency greatly by reducing a large number of redundant data.
Experiment Data Acquisition and pre-processing.
The whole process includes data capturing, noise reduction, sub-sampling and surface reconstruction.
Data Preprocessing Data Registering.
Therefore, data filtering should be indispensable in point cloud data processing, which can improve work efficiency greatly by reducing a large number of redundant data.
Experiment Data Acquisition and pre-processing.
Online since: September 2012
Authors: Da Ming Zhang, Hua Yong Liu, Lu Li, Juan Chen
However, in typical image recognition in 1D vectors space, where the number of data samples is smaller than the dimension of data space, suffering from the singularity problem of matrix, NPE algorithm cannot be implemented directly.
However, they are defined only on the training data points and cannot show explicit maps on new testing data points for recognition problem.
In both experiments, we split randomly the data set into two parts.
And relative to 2DLPP and B2DLPP, 2DNPE and B2DNPE have total different ways to preserve local structure of data manifold.
[4] M.Belkin, P.Niyogi, Laplacian Eigenmaps for dimensionality reduction and data representation, Neural Computation, 2003,15:1373-96,
However, they are defined only on the training data points and cannot show explicit maps on new testing data points for recognition problem.
In both experiments, we split randomly the data set into two parts.
And relative to 2DLPP and B2DLPP, 2DNPE and B2DNPE have total different ways to preserve local structure of data manifold.
[4] M.Belkin, P.Niyogi, Laplacian Eigenmaps for dimensionality reduction and data representation, Neural Computation, 2003,15:1373-96,
Online since: September 2013
Authors: Bahma Deo, Satish Kumar
(b) Pre-processing of the data is done to assess the extent of coverage of training data in the domain of prediction.
Put all the calculated charge data in file Stop No Yes Fig 1.
The data servers communicate with devices in the field through PLC.
The data servers poll the controllers at a user defined polling rate.
The controllers pass the requested parameters to the data servers.
Put all the calculated charge data in file Stop No Yes Fig 1.
The data servers communicate with devices in the field through PLC.
The data servers poll the controllers at a user defined polling rate.
The controllers pass the requested parameters to the data servers.
Online since: September 2011
Authors: Sheng Chuan Liu
Strength Reduction Elasto-plastic finite element is a method that combined with the strength reduction technique, the limit equilibrium theory and the principle of elastic-plastic finite element, which firstly determine the stress, strain or displacement field of slope for a given strength reduction factor.
And the reduction factor is defined as the slope stability safety factor.
He thought that elastic strength reduction finite element method has strong adaptability.
design and measured data, the calculation models are shown in Fig.2~Fig.7.
Slope stability analysis by strength reduction[J].
And the reduction factor is defined as the slope stability safety factor.
He thought that elastic strength reduction finite element method has strong adaptability.
design and measured data, the calculation models are shown in Fig.2~Fig.7.
Slope stability analysis by strength reduction[J].
Online since: July 2015
Authors: Anistasia Milandia, Soesaptri Oediyani
The result of the experiment shows that the most higher metalization is 80.22 percent reached by the temperature reduction 1200°C and time of reduction is 240 minutes.
Composition data of coal ware listed in Table 2.
Reduction Process And Analysis.
The reduction process was conducted in a muffle furnace.
The effects of temperature and time reduction.
Composition data of coal ware listed in Table 2.
Reduction Process And Analysis.
The reduction process was conducted in a muffle furnace.
The effects of temperature and time reduction.
Online since: August 2014
Authors: Jin Gui Wang, Su Zhang, Li Hao Ai, Ying Feng Sun
So noise reduction is also important.
Then we analysed the characteristics of electromagnetic radiation signal after noise reduction.
There are 2 main effects: removal ofoverlappingwaveandmakemoresymmetricwaveform.To the original signalX(t),firstly, find outall of itsextreme points. then the3 spline functionfor all of themaximum pointinterpolation,thusfittingthe original signal X(t)on theenvelope of the Xmax(t) and the lower envelope of Xmin(t).At this time,all data contained in the signals envelope.Connect envelope mean in sequence,then get a mean line m1(t),then X(t)minus m1(t) is h1(t).For differentsignals,h1(t)may be a kind of intrinsic mode function(IMF)component,it also may be not;in general,it does notsatisfy with the IMFconditions[7],the h1(t) is regard asthe original signal,repeat the above steps,namely h11(t)= h1(t)-m11(t),m 11(t) is thelower envelopemean of h1(t);if h1(t)is not a IMFcomponent,then continue toscreening,repeat the abovemethod k times, k timestothescreening of the data h1k(t)= h1(k-1)(t)-M1(1-k)(t).h1k(t)is not a IMFcomponent,there must bea screening processterminationcriterion,itcanusestandard
Seismic data de-noising based on wavelet transform [J].
(in Chinese) [9]Z H WU, N E Huang.Ensemble empirical mode decomposition: a noise-assisted data analysis method[J].World Scientific,2009,1(1):1-41.
Then we analysed the characteristics of electromagnetic radiation signal after noise reduction.
There are 2 main effects: removal ofoverlappingwaveandmakemoresymmetricwaveform.To the original signalX(t),firstly, find outall of itsextreme points. then the3 spline functionfor all of themaximum pointinterpolation,thusfittingthe original signal X(t)on theenvelope of the Xmax(t) and the lower envelope of Xmin(t).At this time,all data contained in the signals envelope.Connect envelope mean in sequence,then get a mean line m1(t),then X(t)minus m1(t) is h1(t).For differentsignals,h1(t)may be a kind of intrinsic mode function(IMF)component,it also may be not;in general,it does notsatisfy with the IMFconditions[7],the h1(t) is regard asthe original signal,repeat the above steps,namely h11(t)= h1(t)-m11(t),m 11(t) is thelower envelopemean of h1(t);if h1(t)is not a IMFcomponent,then continue toscreening,repeat the abovemethod k times, k timestothescreening of the data h1k(t)= h1(k-1)(t)-M1(1-k)(t).h1k(t)is not a IMFcomponent,there must bea screening processterminationcriterion,itcanusestandard
Seismic data de-noising based on wavelet transform [J].
(in Chinese) [9]Z H WU, N E Huang.Ensemble empirical mode decomposition: a noise-assisted data analysis method[J].World Scientific,2009,1(1):1-41.
Online since: August 2010
Authors: Yong Chen Song, Xu Ke Ruan, Hai Feng Liang
Experiment apparatus and procedure
The experiment data were obtained at the Key Laboratory of Ocean Energy Utilization and Energy
Conservation of Ministry of Education, DLUT.
Through the comparison of the grain coating permeability model and the pore filling permeability models with the experimental data, the results are better agreement with the pore filling mode that hydrate will form.
Similar to above, the experimental data are correlated using Masuda's permeability correlation [9], as Eq. (3).
Comparison between the experiment data and Masuda permeability model.
In the absence of experimental data, many numerical simulations have shown that the gas production rate is correlation with permeability of the hydrate zone [6, 9].
Through the comparison of the grain coating permeability model and the pore filling permeability models with the experimental data, the results are better agreement with the pore filling mode that hydrate will form.
Similar to above, the experimental data are correlated using Masuda's permeability correlation [9], as Eq. (3).
Comparison between the experiment data and Masuda permeability model.
In the absence of experimental data, many numerical simulations have shown that the gas production rate is correlation with permeability of the hydrate zone [6, 9].
Online since: May 2004
Authors: H.T. Hintzen, G. de With, D. de Graaf, S. Le Rol, L. Le Gendre
Reduction of Lanthanide Ions in Si-Al-O-N Glasses
D. de Graaf1, S.
Reductions have been observed in the case of Eu3+ [3] and Ce 4+ [4], which reduce to Eu2+ and Ce 3+ during the synthesis of these glasses.
Comparison with literature data showed the simultaneous presence of Sm2+ and Sm3+ transitions.
However in contrast to the previously studied (Eu,Y)-Si-Al-O-N glasses this reduction is only partial.
This is a clear sign that the reduction process takes place during the hottest stages of the melting process, and that the reduction itself is very slow.
Reductions have been observed in the case of Eu3+ [3] and Ce 4+ [4], which reduce to Eu2+ and Ce 3+ during the synthesis of these glasses.
Comparison with literature data showed the simultaneous presence of Sm2+ and Sm3+ transitions.
However in contrast to the previously studied (Eu,Y)-Si-Al-O-N glasses this reduction is only partial.
This is a clear sign that the reduction process takes place during the hottest stages of the melting process, and that the reduction itself is very slow.