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Online since: November 2013
Authors: Kwan Ling Tan, Yuan Dong Gu, Rui Qi Lim, Wei Guo Chen, Min Kyu Je, Peng Li, Lei Yao, Maria Ramona B. Damalerio, Ming Yuan Cheng
The signal-to-noise ratio of neural recording signal can be increased through the reduction of interconnect length.
The signal-to-noise ratio of neural recording signal might be increased through the reduction of interconnect length.
Neural signal data which was pre-recorded from dorsal raphae nucleus (DRN) of rat brain is used in the bench-top experiment.
The signal-to-noise ratio of neural recording signal can be increased through the reduction of interconnect lenght.
Neural signal data which was pre-recorded from dorsal raphae nucleus (DRN) of rat brain is used in the bench-top experiment.
The signal-to-noise ratio of neural recording signal might be increased through the reduction of interconnect length.
Neural signal data which was pre-recorded from dorsal raphae nucleus (DRN) of rat brain is used in the bench-top experiment.
The signal-to-noise ratio of neural recording signal can be increased through the reduction of interconnect lenght.
Neural signal data which was pre-recorded from dorsal raphae nucleus (DRN) of rat brain is used in the bench-top experiment.
Online since: November 2017
Authors: Kyoung Woo Kim, Kwan Seop Yang
The medians of the three indexes presented that an impact sound level of data more than 210 mm was lower by 4.6 dB to 7 dB than that of data less than 210 mm.
Statistical analysis of measurement data.
Analysis results of data whose slab thickness is less than 210 mm.
It is analysis result of slab thickness 210 mm data.
The analysis results of data whose slab thickness was 210 mm or thicker showed a similar pattern with that of data that had less than 210 mm slab thickness.
Statistical analysis of measurement data.
Analysis results of data whose slab thickness is less than 210 mm.
It is analysis result of slab thickness 210 mm data.
The analysis results of data whose slab thickness was 210 mm or thicker showed a similar pattern with that of data that had less than 210 mm slab thickness.
Online since: April 2011
Authors: Hui Zhao, Li Ming Chen
Acquiring the Needed Data.Using data mining and on-line analytical processing systems gains the needed data from information (including Political factors, Economical factors, Social factors, Technological factors).
Data Process Platform Dealing With the Needed Data.
Data are conduced on the data process platform.
The sample data are processed by PCA( here software R being used).
Intelligent parameter reduction using rough sets theory and sensitivity analysis.
Data Process Platform Dealing With the Needed Data.
Data are conduced on the data process platform.
The sample data are processed by PCA( here software R being used).
Intelligent parameter reduction using rough sets theory and sensitivity analysis.
Online since: June 2005
Authors: Kee Sung Lee, Sang Kuk Woo, Doo Won Seo, In Sub Han
The results indicate that hot corrosive gas
mainly causes the strength reduction because of the degradation of grain boundary region.
Data points are means and standard deviations of a minimum of five specimens.
Data points are the average value of 10 data.
Figure 6 plots the strength data as a function of holding time for hot corrosion tests, at 900oC in the mixed gas as indicated in Table 1.
The solid line is a fit to the data sets, indicating no change of the slope of dynamic fatigue after hot corrosion test.
Data points are means and standard deviations of a minimum of five specimens.
Data points are the average value of 10 data.
Figure 6 plots the strength data as a function of holding time for hot corrosion tests, at 900oC in the mixed gas as indicated in Table 1.
The solid line is a fit to the data sets, indicating no change of the slope of dynamic fatigue after hot corrosion test.
Online since: October 2010
Authors: Ming Yung Chen, Cheng Gang Chen, Kevin H. Hoos
Based on the rule-of-mixture, there was a very small difference in the experimental and calculated data.
The data of the experimental CTE (3rd segment) in the glass state is shown in Fig. 2.
The experimental data and the prediction from the rule of mixture are shown in Fig. 2.
The experimental data was significantly lower than those based on the rule of mixture.
Although the value based on Schapery’s lower limit is significantly lower than the experimental data, the value from Schapery’s upper limit is a relatively good prediction of the CTEs for ZrW2O8/Matrimid 5292 hybrid.
The data of the experimental CTE (3rd segment) in the glass state is shown in Fig. 2.
The experimental data and the prediction from the rule of mixture are shown in Fig. 2.
The experimental data was significantly lower than those based on the rule of mixture.
Although the value based on Schapery’s lower limit is significantly lower than the experimental data, the value from Schapery’s upper limit is a relatively good prediction of the CTEs for ZrW2O8/Matrimid 5292 hybrid.
Online since: May 2014
Authors: Panuwat Joyklad, Suniti Suparp
The results of this study would be a reference data to create an alternative plan for bridge strengthening in Thailand in order to sustain the bridge safety level recommended by AASHTO.
In view of improbable coincident loadings, the reduction in load intensity shall be applied as 90% and 75% of the resultant live loads for three lanes and more than three lanes, respectively.
There is, however, no reduction intensity for up to two lanes of traffic loaded.
In addition, the effects of strength deteriorations for imperfect conditions of the existing bridges were included in the analysis by using the reduction factors (fc, fs, fnf as shown in Table 3) [12].
Moreover, the results of this study would be a reference data to establish an alternative plan of bridge strengthening to improve the bridge safety consistent with the AASHTO standard specifications [1].
In view of improbable coincident loadings, the reduction in load intensity shall be applied as 90% and 75% of the resultant live loads for three lanes and more than three lanes, respectively.
There is, however, no reduction intensity for up to two lanes of traffic loaded.
In addition, the effects of strength deteriorations for imperfect conditions of the existing bridges were included in the analysis by using the reduction factors (fc, fs, fnf as shown in Table 3) [12].
Moreover, the results of this study would be a reference data to establish an alternative plan of bridge strengthening to improve the bridge safety consistent with the AASHTO standard specifications [1].
Online since: October 2009
Authors: Ying Nan Guo, Ling Wu, Yu Long Li
Tension, compression and in-plane shear damage, which are
defined as the decreasing ratio of modulus, were calculated from the data of quasi-static cyclic tests.
However, there is only a paucity of experimental data to which these recent theories can be compared.
Results and Discussion Macroscopic damage is defined by the modulus reduction using the well known damage mechanics [3].
The scalar damage parameters T d11 and C d11 were calculated from the reductions of the tensile Young's modulus T E11 and compression Young's modulus C E11 in the 0 o direction respectively.
The shear damage parameter 12d was obtained from the reductions of the in-plane shear modulus 12G .
However, there is only a paucity of experimental data to which these recent theories can be compared.
Results and Discussion Macroscopic damage is defined by the modulus reduction using the well known damage mechanics [3].
The scalar damage parameters T d11 and C d11 were calculated from the reductions of the tensile Young's modulus T E11 and compression Young's modulus C E11 in the 0 o direction respectively.
The shear damage parameter 12d was obtained from the reductions of the in-plane shear modulus 12G .
Online since: December 2014
Authors: Carlos Pina dos Santos, Alexandra Costa
Each of the three cells was instrumented with thermo-hygrometer (Pt100 and capacitive sensor) with automatic data registration, twelve type T (copper-constantan) thermocouples and two heat flux meters.
Data readings were made every minute by an acquisition and automatic registration system (data loggers); average values were recorded every 10 minutes (average of 10 readings).
a) b) Fig. 3 - a) Schematic representation of the instrumentation plan in the roof slab surface; b) Interior cell general aspect - thermal-hygrometer position and data acquisition system Constant indoor temperature in the conditioned regime was achieved by mechanical systems.
The recorded data is currently being analyzed in order to assess the influence of the building envelope in heat pumps performance in real operating conditions.
However, during winter, they lead to an increase in energy requirements to obtain adequate thermal comfort since there is a reduction in roof solar gains.
Data readings were made every minute by an acquisition and automatic registration system (data loggers); average values were recorded every 10 minutes (average of 10 readings).
a) b) Fig. 3 - a) Schematic representation of the instrumentation plan in the roof slab surface; b) Interior cell general aspect - thermal-hygrometer position and data acquisition system Constant indoor temperature in the conditioned regime was achieved by mechanical systems.
The recorded data is currently being analyzed in order to assess the influence of the building envelope in heat pumps performance in real operating conditions.
However, during winter, they lead to an increase in energy requirements to obtain adequate thermal comfort since there is a reduction in roof solar gains.
Online since: May 2012
Authors: Ya Chen Liu, Lan Jin, Ying Jin
Positive analysis
In order to study the impact of commercial residential housing’s sales amount on the indemnificatory housing’s sales amount in Liaoning, first we do some co-integration tests on the historical data, and then conduct the error correction.
To make the data more smoothly, two sets of data were collected on logarithmic, using the Eviews6.0 software, test results in Table 1.
However when the real estate market return to rationality, the reduction of commercial residential housing supply will push up the housing prices again.
In the case of reduction of land supply, the supply of commercial residential housing will be reduced along with it.
There are some defects whether in statistical data or in the construction of indemnificatory housing, however, after expediting the construction of indemnificatory housing, complete and accurate data can be obtained for research.
To make the data more smoothly, two sets of data were collected on logarithmic, using the Eviews6.0 software, test results in Table 1.
However when the real estate market return to rationality, the reduction of commercial residential housing supply will push up the housing prices again.
In the case of reduction of land supply, the supply of commercial residential housing will be reduced along with it.
There are some defects whether in statistical data or in the construction of indemnificatory housing, however, after expediting the construction of indemnificatory housing, complete and accurate data can be obtained for research.
Online since: June 2010
Authors: Yong Liang Xiao
We dealt with palmprint images
data as high order tensors that can both preserve the spatial structure of palmprint image data and
decrease the number of the parameters to be learnt [8].
Essentially a tensor can be considered to be a multi-dimensional or N-way array of data and as such is useful for the description of higher order quantities e.g. multivariate data.
Given a set of n data points 12[ , ,...., ]n X X X X = in 1 2n n R R⊗ .
Let T Y U XV= denote a random variable in the tensor subspace and suppose the data points have a zero mean.
The number in bracket is the dimension reduction.
Essentially a tensor can be considered to be a multi-dimensional or N-way array of data and as such is useful for the description of higher order quantities e.g. multivariate data.
Given a set of n data points 12[ , ,...., ]n X X X X = in 1 2n n R R⊗ .
Let T Y U XV= denote a random variable in the tensor subspace and suppose the data points have a zero mean.
The number in bracket is the dimension reduction.