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Online since: September 2012
Authors: Yeshaiahu Fainman, V. Lomakin, Q. Gu, J. Lee, M. Khajavikhan, B. Slutsky, D. Tan, S. Zamek, O. Bondarenko, A. Simic, A. Mizrahi, M. Nezhad
The same data set is shown as a log–log plot (bottom inset, red symbols) together with the slopes for the PL, ASE and lasing regions.
The blue curve is offset from the red by a constant amount (0.102 RIU), which was chosen for best fit to the lasing data.
The index reduction is consistent with the estimated free-carrier effects.
The same data set is shown in a log-log plot (Fig. 7a, red inset graph), with the slopes of different regions of operation indicated on the plot.
For the light-light curve, our rate equation model with β=0.95 (solid line) gives the best fit to the experimental data (circles).
The blue curve is offset from the red by a constant amount (0.102 RIU), which was chosen for best fit to the lasing data.
The index reduction is consistent with the estimated free-carrier effects.
The same data set is shown in a log-log plot (Fig. 7a, red inset graph), with the slopes of different regions of operation indicated on the plot.
For the light-light curve, our rate equation model with β=0.95 (solid line) gives the best fit to the experimental data (circles).
Online since: August 2023
Authors: Panagiotis D. Zervopoulos, Ebtisam Abdallah Alhammadi
The primary source of the data was the 2016 annual reports of several airports.
Data collection and analysis procedures: Sample.
OSIRIS is a fully-integrated public company database that provides a wide range of data sets (e.g., financials, ratings, news, earnings, stock data, etc.) for firms and organizations over 130 countries.
Network data envelopment analysis (NDEA).
Lee, Data envelopment analysis, The Stata Journal. 10(2) (2010) 267-280
Data collection and analysis procedures: Sample.
OSIRIS is a fully-integrated public company database that provides a wide range of data sets (e.g., financials, ratings, news, earnings, stock data, etc.) for firms and organizations over 130 countries.
Network data envelopment analysis (NDEA).
Lee, Data envelopment analysis, The Stata Journal. 10(2) (2010) 267-280
Online since: May 2013
Authors: Manabu Sawaguchi, Xiao Lei He, Koichi Makino
The second stage started from entering 1960, driven by the “Income Doubling Plan” and such policies of reduction of taxes and interests for the trade-based national construction, Japan entered a real high-growth period.
Trends of Japan in recent years 3.1 Change from cost reduction activitiesin the manufacturing stage to cost management in the planning stage It is said that about 70 - 80% production costswere determined in the planning design stage, and only the remaining 20% were determined in the production stage [2].It’s therefore accepted that the cost reduction effect based on both IE and QC (as some management techniques)were only made on the 20% of costs.
Cost reduction based on product design changes, etc.
Method ●Method study 【ECRS】 ⇒ Make operation improvement by elimination, combination, rearrangement and simplification 【Principles of motion economy】⇒Improve operations by ①Two hands action, ②Reduced motion elements, ③Reduced movement distance, ④Reduced fatigue ●Operation test (not included in the study) ●Seven QC tools 【Checksheet】 ⇒Define uniform business quality using inspection checksheet and data collection checksheet 【Cause and Effect Diagram】 ⇒“Cause and Effect Diagram(CED)” is the chart showing the relationship between the cause and effect regarding intended problem.
Fig. 3 gives separate statistics of the participants by dividing them into service businessand technical business based on the data in Fig.1.
Trends of Japan in recent years 3.1 Change from cost reduction activitiesin the manufacturing stage to cost management in the planning stage It is said that about 70 - 80% production costswere determined in the planning design stage, and only the remaining 20% were determined in the production stage [2].It’s therefore accepted that the cost reduction effect based on both IE and QC (as some management techniques)were only made on the 20% of costs.
Cost reduction based on product design changes, etc.
Method ●Method study 【ECRS】 ⇒ Make operation improvement by elimination, combination, rearrangement and simplification 【Principles of motion economy】⇒Improve operations by ①Two hands action, ②Reduced motion elements, ③Reduced movement distance, ④Reduced fatigue ●Operation test (not included in the study) ●Seven QC tools 【Checksheet】 ⇒Define uniform business quality using inspection checksheet and data collection checksheet 【Cause and Effect Diagram】 ⇒“Cause and Effect Diagram(CED)” is the chart showing the relationship between the cause and effect regarding intended problem.
Fig. 3 gives separate statistics of the participants by dividing them into service businessand technical business based on the data in Fig.1.
Online since: March 2025
Authors: Yan Hui Yang, Jian Guo Wang, Dong Liu, Jun Gang Nan, Yong Hao Zhang, Ying Jing Yuan
The height reduction of workpieces was 60 % with different torsion deformation.
σeq=3τ2+σ2 (9) Using these formulas along with deformation data collected from a Gleeble 3500 thermal-mechanical simulator, equivalent stress-strain curves under various deformation parameters can be plotted for combined compression-torsion deformation.
The peak stress is lower compared to π/2, and the subsequent stress reduction due to dynamic softening is less significant.
Strain data statistics of different torsion Torsional angle 0 0.5π π 2π Volume fraction of effective strain ≤ 0.2 25.38% 21.34% 9.6% 3.05% Average value of effective strain 0.593 0.723 0.969 1.62 Figure 7 shows the strain values of each evenly spaced point after the forming process is complete.
After reaching a certain deformation level, recrystallization nucleation and growth occur at the grain boundaries, leading to a reduction in the area of residual deformed grains.
σeq=3τ2+σ2 (9) Using these formulas along with deformation data collected from a Gleeble 3500 thermal-mechanical simulator, equivalent stress-strain curves under various deformation parameters can be plotted for combined compression-torsion deformation.
The peak stress is lower compared to π/2, and the subsequent stress reduction due to dynamic softening is less significant.
Strain data statistics of different torsion Torsional angle 0 0.5π π 2π Volume fraction of effective strain ≤ 0.2 25.38% 21.34% 9.6% 3.05% Average value of effective strain 0.593 0.723 0.969 1.62 Figure 7 shows the strain values of each evenly spaced point after the forming process is complete.
After reaching a certain deformation level, recrystallization nucleation and growth occur at the grain boundaries, leading to a reduction in the area of residual deformed grains.
Online since: October 2011
Authors: Wei Zhi Dong, Hong Zhi Huo
According to the fractal dimension evaluation method, can be determined for any given an asphalt mixture gradation fractal dimension range, according to the standard selected representative gradation of asphalt mixture, the determination of its technical indicators, through the analysis of the data can be obtained for each index trend.
On the basis of previous test methods and experience, although a reduction in the amount of orthogonal design test, but also need to do a lot of testing on each gradation are the indexes determination, by comparing the adjusted repeatedly to get the optimal mixture ratio design.
With the fractal dimension increases, aggregate of fine aggregate and mineral content increased gradually, the gradation becomes fine, coarse aggregate reduction is not conducive to the skeleton structure formation, affect the mixture of Marshall stability increases, the Marshall stability trend curve and peak state of development, when more than a fractal dimension 2.5354 stability decreases gradually.
Using fractal dimension to reflect the Marshall results in the use of more intuitive, convenient data analysis.
The fractal dimension as a gradation of the quantization value, establish the fractal dimension and the mixture characteristic indexes between data contrast schema, according to the narrowing of the fractal dimension range, guidance and inspection of asphalt mixture ratio design, determine the goal of grading and reduce the volume of test purpose.
On the basis of previous test methods and experience, although a reduction in the amount of orthogonal design test, but also need to do a lot of testing on each gradation are the indexes determination, by comparing the adjusted repeatedly to get the optimal mixture ratio design.
With the fractal dimension increases, aggregate of fine aggregate and mineral content increased gradually, the gradation becomes fine, coarse aggregate reduction is not conducive to the skeleton structure formation, affect the mixture of Marshall stability increases, the Marshall stability trend curve and peak state of development, when more than a fractal dimension 2.5354 stability decreases gradually.
Using fractal dimension to reflect the Marshall results in the use of more intuitive, convenient data analysis.
The fractal dimension as a gradation of the quantization value, establish the fractal dimension and the mixture characteristic indexes between data contrast schema, according to the narrowing of the fractal dimension range, guidance and inspection of asphalt mixture ratio design, determine the goal of grading and reduce the volume of test purpose.
Online since: August 2013
Authors: Mihail Minescu, Ion Pană
The inspection data were obtained by PIG ultrasonic method.
The processing of data was done in Matlab, with programs carried out by the authors.
In the matrix of data (56824,7), the columns retrieved from the inspection report (the rows correspond to the individual defects) has the following signification: the distance from the beginning of the pipeline to the welds (1), the distance from the weld to defect (2), the thickness of the wall of the pipeline(3), the length of the defect (4), the width of the defect (5), the type of defect (as the cause) (6), the depth of the defect (7).
This selection is useful for the reduction of time for calculus.
The characterization of these defects was made by extracting information from the matrix of data.
The processing of data was done in Matlab, with programs carried out by the authors.
In the matrix of data (56824,7), the columns retrieved from the inspection report (the rows correspond to the individual defects) has the following signification: the distance from the beginning of the pipeline to the welds (1), the distance from the weld to defect (2), the thickness of the wall of the pipeline(3), the length of the defect (4), the width of the defect (5), the type of defect (as the cause) (6), the depth of the defect (7).
This selection is useful for the reduction of time for calculus.
The characterization of these defects was made by extracting information from the matrix of data.
Online since: November 2013
Authors: Erwin Sulaeman, Nur Azam Abdullah
Structural Wing Model
Wing Data.
The geometric data of the supersonic wing as has been derived in [7] are summarized in Table 1.
Table 1 Supersonic Wing Planform Data Wing Swept Angle Taper Ratio Aspect Ratio Average Chord Length [m] Wing Root [m] Wing Tip [m] Half Span [m] 30º 0.5 5 1.5 2 1 3.75 Fig. 1 Front view of the external store locations Composite Structure.
In order to construct the composite structure in MSC Nastran data, the transversely isotropic material had been calculated based on [8].
Fig. 5 V-g diagram of Case 1 Fig. 6 V-g diagram of Case 2 Table 4 Weight Reduction Percentage Case Flutter Velocity [m/s] Composite Skin Total Weight [kg] Skin Weight Reduction -7943 ft 0 ft 10000 ft 20000 ft 30000 ft Base line (Aluminum) 515 585 675 795 955 212.4753 0 1 595 665 775 915 1095 104.6855 50.73 % 2 525 585 685 815 965 64.4149 69.68 % Fig. 7 V-f diagram of Case 1 Fig. 8 V-f diagram of Case 2 Fig. 9 Case 1 – Mode 6 Fig. 10 Case 2 – Mode 6 Conclusion An optimization procedure to perform aeroelastic tailoring of a supersonic wing with external stores is presented in this paper.
The geometric data of the supersonic wing as has been derived in [7] are summarized in Table 1.
Table 1 Supersonic Wing Planform Data Wing Swept Angle Taper Ratio Aspect Ratio Average Chord Length [m] Wing Root [m] Wing Tip [m] Half Span [m] 30º 0.5 5 1.5 2 1 3.75 Fig. 1 Front view of the external store locations Composite Structure.
In order to construct the composite structure in MSC Nastran data, the transversely isotropic material had been calculated based on [8].
Fig. 5 V-g diagram of Case 1 Fig. 6 V-g diagram of Case 2 Table 4 Weight Reduction Percentage Case Flutter Velocity [m/s] Composite Skin Total Weight [kg] Skin Weight Reduction -7943 ft 0 ft 10000 ft 20000 ft 30000 ft Base line (Aluminum) 515 585 675 795 955 212.4753 0 1 595 665 775 915 1095 104.6855 50.73 % 2 525 585 685 815 965 64.4149 69.68 % Fig. 7 V-f diagram of Case 1 Fig. 8 V-f diagram of Case 2 Fig. 9 Case 1 – Mode 6 Fig. 10 Case 2 – Mode 6 Conclusion An optimization procedure to perform aeroelastic tailoring of a supersonic wing with external stores is presented in this paper.
Online since: June 2014
Authors: Kui Wang, Yi Deng, Xia Hua Jiang
And the results suggest that weak decoupling can be detected regarding data from 1997 to 2008.
Statistical Data and Results All the data is not included data from Hong Kong, Macau and Taiwan.
It is obvious that decoupling of EC and WC depends on the reduction of agricultural WC in the foreseeable future in China.
The continuous and huge reduction of agricultural WC is the main cause of strong decoupling of agricultural WC from GDP of primary industry and vital to the weak decoupling of WC from EG.
Statistical Data and Results All the data is not included data from Hong Kong, Macau and Taiwan.
It is obvious that decoupling of EC and WC depends on the reduction of agricultural WC in the foreseeable future in China.
The continuous and huge reduction of agricultural WC is the main cause of strong decoupling of agricultural WC from GDP of primary industry and vital to the weak decoupling of WC from EG.
Online since: May 2004
Authors: G. Yu
From this method, hydrogen is generated by hydrogen ion
reduction on the cathodic side either at a constant voltage or at constant current.
This novel method offers a considerable reduction in test time, which could last for 19 hours.
The hydrogen ion diffusion coefficient in the iridium oxide Water Bath PC Computer HP4145B Analyzer MOSFET Dark Room pH Buffer Temperature Controller film is obtained by fitting the experimental voltage-pH response drift data into equation (7).
The modeled data was computed based on equation (7) using known and extracted parameters: Cs/Cb= 0.02, L= 100 µm and a = 1.0001.
Figure 3 shows the measured voltage-pH drift data with a simulated D value of 4×10-12 cm2/s.
This novel method offers a considerable reduction in test time, which could last for 19 hours.
The hydrogen ion diffusion coefficient in the iridium oxide Water Bath PC Computer HP4145B Analyzer MOSFET Dark Room pH Buffer Temperature Controller film is obtained by fitting the experimental voltage-pH response drift data into equation (7).
The modeled data was computed based on equation (7) using known and extracted parameters: Cs/Cb= 0.02, L= 100 µm and a = 1.0001.
Figure 3 shows the measured voltage-pH drift data with a simulated D value of 4×10-12 cm2/s.
Online since: May 2020
Authors: S.V. Mjakin, M.M. Sychov, Aleksei B. Brykov
According to the data of mineralogical analysis, the sand 1 after fractional preparation involved 60-65% quartz grains; 30-35% quartz-feldspar grains consisting of heavily modified feldspar, quartz, biotite and hornblende; and about 5% individual grains of plagioclase.
These data indicate that after 14 days the expansion of the sample containing non-treated sand does not exceed the critical value (0.1%) thus behaving as non-reactive aggregate [2].
The obtained data presented in Figure 3 show that heating of the sand 1 provides a certain reactivity for this sand initially inactive towards ASR, especially in the case of slow cooling.
Generally, the obtained data suggest that heat or EB treatment of sands inactive to alkali effect provides Portland cement mortar or concrete aggregates which reactivity to alkalis depends on processing (heating/cooling, irradiation) parameters.
The observed effects can be accounted for structural transformations in the materials, particularly with EB-induced changes in their surface functionality, i.e. increase in the content of reactive centers on the surface of initially inactive components or reduction of surface activity for components initially containing reactive groups.
These data indicate that after 14 days the expansion of the sample containing non-treated sand does not exceed the critical value (0.1%) thus behaving as non-reactive aggregate [2].
The obtained data presented in Figure 3 show that heating of the sand 1 provides a certain reactivity for this sand initially inactive towards ASR, especially in the case of slow cooling.
Generally, the obtained data suggest that heat or EB treatment of sands inactive to alkali effect provides Portland cement mortar or concrete aggregates which reactivity to alkalis depends on processing (heating/cooling, irradiation) parameters.
The observed effects can be accounted for structural transformations in the materials, particularly with EB-induced changes in their surface functionality, i.e. increase in the content of reactive centers on the surface of initially inactive components or reduction of surface activity for components initially containing reactive groups.