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Online since: February 2012
Authors: Zhi Yu Wen, Li Chen, Biao Luo, Hai Tao Liu, Rong Rong Qian
Additionally, the use of massive optical components, like gratings or mirrors, severely limits the time resolution and size reduction of spectral systems.
MOEMSMirror Backside Topside (a) Micro mirror (b) Silicon slit Fig2 MOEMS device Fig3 Calibration data of micro mirror Meanwhile, two light correction filters also used.
During resonate state of the mirror, the data was gotten.
After data preprocessed, we can reconstruct the relation between the spectral signals and drive voltage.
Data Measurement, Processing and Experimental Results For testing the wavelength accuracy and spectral resolution of this spectrometer, swept instrument, DC power supply, oscillograph and interference filters were used.
MOEMSMirror Backside Topside (a) Micro mirror (b) Silicon slit Fig2 MOEMS device Fig3 Calibration data of micro mirror Meanwhile, two light correction filters also used.
During resonate state of the mirror, the data was gotten.
After data preprocessed, we can reconstruct the relation between the spectral signals and drive voltage.
Data Measurement, Processing and Experimental Results For testing the wavelength accuracy and spectral resolution of this spectrometer, swept instrument, DC power supply, oscillograph and interference filters were used.
Online since: January 2005
Authors: Nai Yi Li, Henry Hu, Ming Zhou
Despite that the availability of data of
section thickness-dependent mechanical properties, detailed information on relationship between
section thicknesses, and microstructure and tensile behavior are limited for die cast magnesium
alloy AM50.
In order to maximize composition reading of the Energy Dispersive Spectroscopy (EDS) data, etchant was applied to the specimens for microscopy examination.
The mechanical properties of the die cast AM50 alloy were evaluated by tensile tests, which were performed at ambient temperature on an Instron machine equipped with a computer data acquisition system.
The UTS and YS decreases to 112 and 82 MPa for 10mm thick specimens from 240 and 134 MPa for the 2mm coupons, which implies over 50% reduction in UTS and almost 40% decrease in YS, respectively.
Overall, the SEM observations of the fracture surfaces show a good agreement with the ductility data given in Figs. 5 and 6.
In order to maximize composition reading of the Energy Dispersive Spectroscopy (EDS) data, etchant was applied to the specimens for microscopy examination.
The mechanical properties of the die cast AM50 alloy were evaluated by tensile tests, which were performed at ambient temperature on an Instron machine equipped with a computer data acquisition system.
The UTS and YS decreases to 112 and 82 MPa for 10mm thick specimens from 240 and 134 MPa for the 2mm coupons, which implies over 50% reduction in UTS and almost 40% decrease in YS, respectively.
Overall, the SEM observations of the fracture surfaces show a good agreement with the ductility data given in Figs. 5 and 6.
Online since: April 2005
Authors: Juliana M. Janurudin, K. Ozeki, Hideyuki Aoki, Y. Fukui
During treatment, the
data were taken at 30 minute brushing time intervals for 360 [min] respectively.
Results and discussion 3.1 Spectrometer data of the tooth lightness 50 52 54 56 58 60 62 64 66 68 70 0 60 120 180 240 300 360 Times[min] Lightness [L*] HA/H2O2 H2O2 Figure 2 shows the lightness (L*) changes corresponding to the HA/H2O2 composite toothpaste and H2O2 alone treatment.
These results suggested that HA/H2O2 composite perform whitening ability on the tooth enamel layer without damaging to the surface of the tooth. 3.4 Identification peak of garlic aroma Figure 4 display the chromatogram data recorded by monitoring the gas samples evaporated from a peeled clove garlic and slice garlic in the bottles.
This results allow quantification of garlic aroma be evaluated to compare peak area of deodorization ability for each deodorizer material. 05 10 15 20 25 30 35 0123456 Retention Time[min] Peak Intensity Slice garlic Clove garlic 4.695 4.695 Fig.5 The deodorization ability of HA, HA/H2O2 and charcoal 0 10 20 30 40 50 60 70 80 90 100 MaterialsDeodorization Ability[%] HA HA/H2O2 Charcoal 93.6% 82.3% 89.5% Fig.4 Retention time of garlic aroma peak 3.5 Deodorization ability data Figure 5 shows the absorption rate corresponding to the garlic aroma reduction.
Results and discussion 3.1 Spectrometer data of the tooth lightness 50 52 54 56 58 60 62 64 66 68 70 0 60 120 180 240 300 360 Times[min] Lightness [L*] HA/H2O2 H2O2 Figure 2 shows the lightness (L*) changes corresponding to the HA/H2O2 composite toothpaste and H2O2 alone treatment.
These results suggested that HA/H2O2 composite perform whitening ability on the tooth enamel layer without damaging to the surface of the tooth. 3.4 Identification peak of garlic aroma Figure 4 display the chromatogram data recorded by monitoring the gas samples evaporated from a peeled clove garlic and slice garlic in the bottles.
This results allow quantification of garlic aroma be evaluated to compare peak area of deodorization ability for each deodorizer material. 05 10 15 20 25 30 35 0123456 Retention Time[min] Peak Intensity Slice garlic Clove garlic 4.695 4.695 Fig.5 The deodorization ability of HA, HA/H2O2 and charcoal 0 10 20 30 40 50 60 70 80 90 100 MaterialsDeodorization Ability[%] HA HA/H2O2 Charcoal 93.6% 82.3% 89.5% Fig.4 Retention time of garlic aroma peak 3.5 Deodorization ability data Figure 5 shows the absorption rate corresponding to the garlic aroma reduction.
Online since: January 2012
Authors: Vytautas Samulionis, Yulian Vysochanskii, Juras Banys
Introduction
Sn2P2S6 family ferroelectric crystals, which undergo a phase transition with symmetry reduction from 2/m to m are particularly interesting both from applied and fundamental physics in relation to their semiconducting, ferroelectric and piezoelectric properties.
There are no data on ultrasonic properties in (Sn,Pb)2P2S6 system.
It was confirmed using our measurements for ferroelectric phase using data from Fig. 2 after calculations of = f(T).
The polarisation relaxation time estimated from our attenuation data was τ ~10-10/(TC-T) s.
The polarisation relaxation time estimated from our attenuation data was τ ~ 6·10-9/(TC-T) s.
There are no data on ultrasonic properties in (Sn,Pb)2P2S6 system.
It was confirmed using our measurements for ferroelectric phase using data from Fig. 2 after calculations of = f(T).
The polarisation relaxation time estimated from our attenuation data was τ ~10-10/(TC-T) s.
The polarisation relaxation time estimated from our attenuation data was τ ~ 6·10-9/(TC-T) s.
Online since: May 2012
Authors: Jing Hua Yu, Yuan Gang Zu, Zhong Hua Tang, De Wen Li, Chun Jing Wang
PopGene and RAPDISTANCE, Biosys-1 software were used to analyze the data, PopGene was suitable to dealing with the data of allozyme and RAPD, when RAPD data didn’t accord with Hardy-Weinberg balance in the researching population, amended it according to the value FIS getting from the data of allozyme [9,10,11].
As a whole, S form kept high level genetic diversity because of big fluctuation of the environment and owning property of pioneer species; The reduction of population and geography isolation resulted in decrease of genetic diversity level in C form plant population; The abundant extent of genetic diversity correlated with the change of population numbers and its development trend, it is valuable to discuss whether genetic diversity determining population number fluctuated rule further.
As a whole, S form kept high level genetic diversity because of big fluctuation of the environment and owning property of pioneer species; The reduction of population and geography isolation resulted in decrease of genetic diversity level in C form plant population; The abundant extent of genetic diversity correlated with the change of population numbers and its development trend, it is valuable to discuss whether genetic diversity determining population number fluctuated rule further.
Online since: December 2012
Authors: Song Ze Lei, Qiang Zhu
The kernel trick is demonstrated to be able to efficiently represent complicated nonlinear relations of the input data [7].
In particular, our method first calculations phase congruency vector of ear images using Log-Gabor wavelet, then the vector is combinated to a high dimensional vector, and further high dimensional data of phase congruency is transformed to kernel space to handle high dimensional data and extract discriminant features.
Therefore it is necessary for feature reduction and extracting effective discriminant feature.
Kernel discriminant analysis The main idea of Kernel discriminant analysis (KDA) is to transform the input data into a higher dimensional feature space by a nonlinear mapping function and then apply the linear discriminant analysis techniques in the feature space.
In particular, our method first calculations phase congruency vector of ear images using Log-Gabor wavelet, then the vector is combinated to a high dimensional vector, and further high dimensional data of phase congruency is transformed to kernel space to handle high dimensional data and extract discriminant features.
Therefore it is necessary for feature reduction and extracting effective discriminant feature.
Kernel discriminant analysis The main idea of Kernel discriminant analysis (KDA) is to transform the input data into a higher dimensional feature space by a nonlinear mapping function and then apply the linear discriminant analysis techniques in the feature space.
Online since: September 2014
Authors: Yu Kui Wang, Hong Ru Li, Peng Ye
For two relevant random variablesand, the uncertainty reduction ofafter known the value ofis defined as the MI betweenand.
Fig.1 Hydraulic pump test bench Fig.2 Plungers used in the experiment Fig.3 Waveform of vibration signal collected from hydraulic pump under five different conditions Fault feature extraction In order to improve the operation efficiency the first 2048 data points of each sample is chosen for the research.
Ensemble empirical mode decomposition:A noise assisted data analysis method[J].Advances in Adaptive Data Analysis,2009,1:1-4
Symbolic time series analysis of ultrasonic data for early detection of fatigue damage [J].
Fig.1 Hydraulic pump test bench Fig.2 Plungers used in the experiment Fig.3 Waveform of vibration signal collected from hydraulic pump under five different conditions Fault feature extraction In order to improve the operation efficiency the first 2048 data points of each sample is chosen for the research.
Ensemble empirical mode decomposition:A noise assisted data analysis method[J].Advances in Adaptive Data Analysis,2009,1:1-4
Symbolic time series analysis of ultrasonic data for early detection of fatigue damage [J].
Online since: June 2014
Authors: Hua Cheng, Wei Jun Hu
Taking the reduction factors into account, in the simulation all bolts were applied prestressed for 70KN and anchors were applied for 120KN.
Fig.1 Supporting structure units Analyze of simulation results It can get many data about surrounding rocks’ stability by using FLAC3D numerical simulation software to simulate three support schemes, which the floor supports are different.
Table 2 Displacement of surrounding rocks displacement(mm) support method roof floor left side right side none -81.84 209.70 105.70 -106.20 bolt -78.38 100.90 101.30 -101.00 bolt and anchor -78.24 91.63 100.40 -100.50 After analysis the data in Table2, we can find: (1) The different support in the floor has little effect on the vertical displacement of roof; (2) The different support in the floor has large effect on the vertical displacement of floor.
Those data were shown in Table 3.
Table 3 Stresses of surrounding rocks stress(KPa) support method roof floor left side right side none -4583.0 -28.53 -434.7 435.9 bolt -4270.0 -68.44 -566.7 563.8 bolt and anchor -4246.0 -69.72 -567.3 566.3 By analysis data in Table 3: (1)The support schemes have effect on the stress of roof.
Fig.1 Supporting structure units Analyze of simulation results It can get many data about surrounding rocks’ stability by using FLAC3D numerical simulation software to simulate three support schemes, which the floor supports are different.
Table 2 Displacement of surrounding rocks displacement(mm) support method roof floor left side right side none -81.84 209.70 105.70 -106.20 bolt -78.38 100.90 101.30 -101.00 bolt and anchor -78.24 91.63 100.40 -100.50 After analysis the data in Table2, we can find: (1) The different support in the floor has little effect on the vertical displacement of roof; (2) The different support in the floor has large effect on the vertical displacement of floor.
Those data were shown in Table 3.
Table 3 Stresses of surrounding rocks stress(KPa) support method roof floor left side right side none -4583.0 -28.53 -434.7 435.9 bolt -4270.0 -68.44 -566.7 563.8 bolt and anchor -4246.0 -69.72 -567.3 566.3 By analysis data in Table 3: (1)The support schemes have effect on the stress of roof.
Online since: December 2014
Authors: Rong Hua Yang, Gao Bo Mai
The formulas are check and modified based on experimental data.
The reference [3] using limit equilibrium method, and according to the experimental data fitting, gets the calculation formula of load-bearing capacity of axially loaded of recycled aggregate concrete-filled steel tube
(2) is the reduction coefficient, the specific calculation see reference [3].
The data in the table are average value of different recycled concrete strength grade, steel strength, hoop coefficient and substitution rate of reliability index.
(4) To obtain more accurate results of component reliability analysis need a lot of test data.
The reference [3] using limit equilibrium method, and according to the experimental data fitting, gets the calculation formula of load-bearing capacity of axially loaded of recycled aggregate concrete-filled steel tube
(2) is the reduction coefficient, the specific calculation see reference [3].
The data in the table are average value of different recycled concrete strength grade, steel strength, hoop coefficient and substitution rate of reliability index.
(4) To obtain more accurate results of component reliability analysis need a lot of test data.
Online since: December 2018
Authors: Monique Gasperini, Yann Charles, Qi Huang, Cécilie Duhamel, Jérôme Crepin
Inside the initially thinned region, an extra width reduction is made in the ROI, to concentrate the stresses in this previously pre-strained zone (Fig. 1b).
Temperature (MPa) k (MPa) n Room temperature 200 1179 0.65 340°C 120 1028 0.60 Experimental data (symbols) and identified hardening curves (full lines) for different experimental situations (20°C, and 340 °C, ) are compared in Fig. 2.
Fig. 2: Experimental data (symbols) and identified hardening curves (full lines) at room temperature, and 340 °C, .
Experimental data for ROI during step 2 (in green).
Strain is measured by an extensometer CD (Fig. 1b) in the ROI and displacement data is collected at one extremity of the specimen.
Temperature (MPa) k (MPa) n Room temperature 200 1179 0.65 340°C 120 1028 0.60 Experimental data (symbols) and identified hardening curves (full lines) for different experimental situations (20°C, and 340 °C, ) are compared in Fig. 2.
Fig. 2: Experimental data (symbols) and identified hardening curves (full lines) at room temperature, and 340 °C, .
Experimental data for ROI during step 2 (in green).
Strain is measured by an extensometer CD (Fig. 1b) in the ROI and displacement data is collected at one extremity of the specimen.