Sort by:
Publication Type:
Open access:
Publication Date:
Periodicals:
Search results
Online since: August 2017
Authors: Axel Schippers
The chemical data for the solution of the assays are given in Table 2 and Table 3 for the end of each experiment.
The data for the anaerobic bioleaching experiments without and with sulfur addition were similar.
Obviously sufficiently reduced inorganic sulfur was in the slag material to sustain a chemical reduction of ferric to ferrous iron and to generate high ferrous sulfate amounts in solution (Table 2).
At the end of the experiments the solid residues were chemically analyzed and the data are shown in Table 4 for Cu, Fe and Zn.
According to a previous mineralogical study (data not shown) copper is mainly bound as sulfides while zinc occurs in different minerals and glasses in the original slag.
The data for the anaerobic bioleaching experiments without and with sulfur addition were similar.
Obviously sufficiently reduced inorganic sulfur was in the slag material to sustain a chemical reduction of ferric to ferrous iron and to generate high ferrous sulfate amounts in solution (Table 2).
At the end of the experiments the solid residues were chemically analyzed and the data are shown in Table 4 for Cu, Fe and Zn.
According to a previous mineralogical study (data not shown) copper is mainly bound as sulfides while zinc occurs in different minerals and glasses in the original slag.
Online since: December 2010
Authors: Masato Enokizono, Takashi Todaka, Takeru Sato, Seiji Ishikawa, Yoshitaka Maeda
The results show that the proportion-derivative precedence type (I-PD) control is suitable for reduction of measurement times in vector magnetic property measurements.
Since it was very difficult to measure accurately the magnetic properties under the high magnetic flux density conditions, we have not yet performed analysis so far due to lack of the data of vector magnetic properties over 1.6T [5-7].
Since it was very difficult to measure accurately the magnetic properties under the high magnetic flux density conditions, we have not yet performed analysis so far due to lack of the data of vector magnetic properties over 1.6T [5-7].
Online since: October 2011
Authors: Bao Lin Tang, Zhen Cai Qu, Hai Sheng Chen
Table 1 Paper surface performance test table
Paper No.
absorbency/X1
[50s, g/m2]
gloss/X2
[TAPPI,750]
roughness/X3
[0.5MPA,um]
whiteness/X4 [ISO,%]
opacity/X5
[%,IRIC950]
1﹟
49.99
49.87
2.78
118.47
98.31
2﹟
30.96
67.32
4.32
88.59
92.75
3﹟
35.26
65.37
2.93
110.04
93.49
4﹟
29.19
69.06
2.64
145.41
92.27
5﹟
116.46
56.93
4.53
114.04
98.29
According to the data listed in Table 1, SPSS13.0 in SPSS company was used for PCA.
Eigenvalues and its contribution rate of principal component were shown in Table 2, The loading matrix of PCA can be drawn based on the datas in Table 2, the feature vector matrix of the principal components can be calculated by the loading matrix, as shown in Table 3.
As the experimental datas were more, black ink has a high density and print contrast, so the datas of black ink were selected as an example, the results were shown in Table 5.
Table 5 Printing quality parameter table samples 1# 2# 3# 4# 5# dot gain/% 7.00 5.69 5.73 4.77 5.77 solid density 1.45 1.44 2.02 2.05 1.88 contrast-K 0.45 0.43 0.57 0.58 0.56 ratio 1.20 1.41 1.19 0.97 1.07 Principal component analysis was continuely used for the data in Table 5, the principle is similar with Table 2 and Table 3, the ultimate print quality is available to the comprehensive index value as shown in Table 6.
Therefore, the regression equation can be expressed as: (4) Conclusions Principal component analysis was ued to evaluate paper surface properties and printing quality, the related performance-indicators can be integrated, the information of a number of variables can be replaced with with less variables to achieve the purpose of dimension reduction, then the quality evaluation of ink-jet paper in characteristic parameters can be simplified.
Eigenvalues and its contribution rate of principal component were shown in Table 2, The loading matrix of PCA can be drawn based on the datas in Table 2, the feature vector matrix of the principal components can be calculated by the loading matrix, as shown in Table 3.
As the experimental datas were more, black ink has a high density and print contrast, so the datas of black ink were selected as an example, the results were shown in Table 5.
Table 5 Printing quality parameter table samples 1# 2# 3# 4# 5# dot gain/% 7.00 5.69 5.73 4.77 5.77 solid density 1.45 1.44 2.02 2.05 1.88 contrast-K 0.45 0.43 0.57 0.58 0.56 ratio 1.20 1.41 1.19 0.97 1.07 Principal component analysis was continuely used for the data in Table 5, the principle is similar with Table 2 and Table 3, the ultimate print quality is available to the comprehensive index value as shown in Table 6.
Therefore, the regression equation can be expressed as: (4) Conclusions Principal component analysis was ued to evaluate paper surface properties and printing quality, the related performance-indicators can be integrated, the information of a number of variables can be replaced with with less variables to achieve the purpose of dimension reduction, then the quality evaluation of ink-jet paper in characteristic parameters can be simplified.
Online since: January 2016
Authors: Ali Nikahd, Mazlan Hashim, Mohammad Jafar Nazemosadat
Findings
Defaults of Z-R relationship
Radar calibration by using data from other measurement system
Identification of uncertainty and calibration by errors reduction
Radar signal attenuation.
[44] did not believe that radar signal attenuation is effective in data quality.
Data from radar after removing ground clutter are transferred to the polar Cartesian system [62], to perform the data calibration.
Hill, “Automated Bayesian quality control of streaming rain gauge data,” Environ.
Santosa, “Data mining techniques for improved WSR-88D rainfall estimation,” Comput.
[44] did not believe that radar signal attenuation is effective in data quality.
Data from radar after removing ground clutter are transferred to the polar Cartesian system [62], to perform the data calibration.
Hill, “Automated Bayesian quality control of streaming rain gauge data,” Environ.
Santosa, “Data mining techniques for improved WSR-88D rainfall estimation,” Comput.
Online since: May 2022
Authors: Ayazhan Bazarbekova, Zhamilya Mamesh, Islam Orynbassarov, Daniyar Syzdykov, Aizhan Kissambinova, Saken Sandybay, Chang Seon Shon
The predicted compressive strengths using 7-day maturity data were comparable to actual strength results.
The UPV results were taken from 3 samples of each mixture, and each measurement was taken three times to get more accurate and precise data.
The strength-maturity relationship was established by expressing the strength as a linear function of the logarithm of TTF to determine a best-fit straight equation through the plotted data.
For example, using slope values and Eq. 2, 28-d strength of mixtures were predicted based on 7-d data.
· The predicted compressive strengths using 7-day maturity data were comparable to actual strength results.
The UPV results were taken from 3 samples of each mixture, and each measurement was taken three times to get more accurate and precise data.
The strength-maturity relationship was established by expressing the strength as a linear function of the logarithm of TTF to determine a best-fit straight equation through the plotted data.
For example, using slope values and Eq. 2, 28-d strength of mixtures were predicted based on 7-d data.
· The predicted compressive strengths using 7-day maturity data were comparable to actual strength results.
Online since: August 2015
Authors: Chivalai Temiyasathit, Thitiwat Piyatamrong, Anan Kamolphanus, Gasydech Lergchinnaboot, Krittin Suphakarn
Methodology
Data Preprocessing
Nucleic acid sequences are various in size and length.
This method adopts the use of majority voting scheme, which employs the whole data set for generating references for all four Dengue serotypes.
In addition, the projected data explicitly reflects the true pattern of a Dengue virus sequence.
Finally, this method for projections can be adapted for future analysis, such as classifications, clustering, and association; for higher accuracy and availability of data inputs.
Thaithatkul, “The analysis of Dengue virus serotypes via UnitX representation,” in The 7th INFORMS Workshop on Data Mining and Health Informatics (DM-HI ), 2012.
This method adopts the use of majority voting scheme, which employs the whole data set for generating references for all four Dengue serotypes.
In addition, the projected data explicitly reflects the true pattern of a Dengue virus sequence.
Finally, this method for projections can be adapted for future analysis, such as classifications, clustering, and association; for higher accuracy and availability of data inputs.
Thaithatkul, “The analysis of Dengue virus serotypes via UnitX representation,” in The 7th INFORMS Workshop on Data Mining and Health Informatics (DM-HI ), 2012.
Online since: July 2014
Authors: Xiao Kan Wang, Jun Min Lu
A kind of combination is generally believed that the use of Pb-Ca positive grid that the active material interface layer of the corrosion resistance of purified large insulating film.To prevent the generation of the purification, the general method is to add the Sn,that is, high Sn and low Ca alloy,so the alloys are used in the positive plate of poor water VRLA battery which the water loss is a minimum and its test data is 1.5-2.5g/Ah.but the mechanical strength,creep resistance and deep charge and discharge performance ( no effect in the presence of antimony) of Pb-Ca alloy is still below the Pb-Sb alloy.The small electric vehicle batteries use flooded design that it could regularly pay replenishment and maintenance,so Pb-Sb multi-alloy should be the best selection.B alloy is the best combination which can effectively improve performance while maintaining deep cycle relative reduction of water loss purposes.The alloy components are:
Positive plate alloy : Pb+Sb(1.8-2%)+As(0.1-0.2)+Sn(
was shown in the table 2(each group of data are the mean values of 2 battery test data).
Table 2 The mixing paste test data at different temperatures Seen from the table 2,if the maximum temperature of the mixing paste could control at the range of 75℃-80℃,the capacity and cycle life of the battery would better improve.
The test data of the improved assembly 6V 190Ah battery(5h rate ) were shown in the table 3.
Table 3 The Improved Test Data Conclusion (1)The alloy complex of the positive Pb-Sb and the negative Pb-Ca was used appropriate heat treatment,so it helps to improve the deep cycle life of small flooded power battery and could be achieved low maintenance performance
was shown in the table 2(each group of data are the mean values of 2 battery test data).
Table 2 The mixing paste test data at different temperatures Seen from the table 2,if the maximum temperature of the mixing paste could control at the range of 75℃-80℃,the capacity and cycle life of the battery would better improve.
The test data of the improved assembly 6V 190Ah battery(5h rate ) were shown in the table 3.
Table 3 The Improved Test Data Conclusion (1)The alloy complex of the positive Pb-Sb and the negative Pb-Ca was used appropriate heat treatment,so it helps to improve the deep cycle life of small flooded power battery and could be achieved low maintenance performance
Online since: July 2014
Authors: Khaled Shaaban
Data Collection
A survey form that consisted of four pages was developed.
A pilot study was conducted with 50 students to ensure getting a realistic and solid data.
Data collection was completed for 440 students.
The data was then entered to an excel file.
After completing the data entry, a quality control check of the data entry was conducted.
A pilot study was conducted with 50 students to ensure getting a realistic and solid data.
Data collection was completed for 440 students.
The data was then entered to an excel file.
After completing the data entry, a quality control check of the data entry was conducted.
Online since: July 2011
Authors: Andrew Tyas, Liu Chang, Tan Kang Hai, Fung Tat Ching
Little test data have been published to demonstrate the performance of the connections subjected to a rapid rate of loading.
Fig. 3 The influence of strain rate sensitivity However, there are still very limited research data considering the influence of strain rate on the structural bolts and welds.
Analysis Results First, the validation of three-dimensional finite element model was preceded by comparing their predictions against static test data using ABAQUS.
Fig.5 shows the comparison between the simulation result and the experimental data.
Findings from three computer code validations with precision impact test data.
Fig. 3 The influence of strain rate sensitivity However, there are still very limited research data considering the influence of strain rate on the structural bolts and welds.
Analysis Results First, the validation of three-dimensional finite element model was preceded by comparing their predictions against static test data using ABAQUS.
Fig.5 shows the comparison between the simulation result and the experimental data.
Findings from three computer code validations with precision impact test data.
Online since: February 2012
Authors: Antonio Del Prete, Antonio Alberto de Vitis, Rodolfo Franchi
All data should cover the range from room temperature up to the forging and heat treatments temperatures.
Experimental Distortion Measurement To evaluate the capability of the simulation tool to be representative of the shape deviation due to the machining working steps authors have compared the numerical data with the experimental ones gathered for the analyzed component at the end of each studied operation.
As reference of the data comparison it is reported the data collecting related to nine geometric features (A,B,..
The numerical data for the considered features have been compared with the physical ones obtained for the same conditions as average of measures done on three disks.
In Table 3 the meaning of the reported data is the following: · Experimental displacement have been considered for confidential reasons has normalize to one; · Displ.
Experimental Distortion Measurement To evaluate the capability of the simulation tool to be representative of the shape deviation due to the machining working steps authors have compared the numerical data with the experimental ones gathered for the analyzed component at the end of each studied operation.
As reference of the data comparison it is reported the data collecting related to nine geometric features (A,B,..
The numerical data for the considered features have been compared with the physical ones obtained for the same conditions as average of measures done on three disks.
In Table 3 the meaning of the reported data is the following: · Experimental displacement have been considered for confidential reasons has normalize to one; · Displ.