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Online since: July 2011
Authors: Shan Xiang Zhang, Zhi Hong Zhang, Shao Yi Wu
The theoretical spin Hamiltonian parameters based on the above impurity displacement show good agreement with the experimental data.
They are usually expressed in terms of the cubic field parameter Dq and the Racah parameters B and C for the 3d7 ion in crystals [12,13]. z and z’ are the spin-orbit coupling coefficients, and k and k’ are the orbital reduction factors.
It can be found that the theoretical results show poor agreement with the experimental data, especially the signs of the anisotropy Dg and the zero-field splitting D are opposite to the observed values.
Discussion Table 1 reveals that the theoretical spin Hamiltonian parameters (Cal. c) based on the impurity displacement DZ and the ligand contributions show better agreement with the experimental data than those based on omission of the impurity displacement (Cal. a) or the ligand contributions (Cal. b).
When the ligand orbital and spin-orbit coupling contributions were neglected, the theoretical results (Cal. b) are not as good as those including the above contributions, especially the calculated D and g factors are smaller than the experimental data.
They are usually expressed in terms of the cubic field parameter Dq and the Racah parameters B and C for the 3d7 ion in crystals [12,13]. z and z’ are the spin-orbit coupling coefficients, and k and k’ are the orbital reduction factors.
It can be found that the theoretical results show poor agreement with the experimental data, especially the signs of the anisotropy Dg and the zero-field splitting D are opposite to the observed values.
Discussion Table 1 reveals that the theoretical spin Hamiltonian parameters (Cal. c) based on the impurity displacement DZ and the ligand contributions show better agreement with the experimental data than those based on omission of the impurity displacement (Cal. a) or the ligand contributions (Cal. b).
When the ligand orbital and spin-orbit coupling contributions were neglected, the theoretical results (Cal. b) are not as good as those including the above contributions, especially the calculated D and g factors are smaller than the experimental data.
Online since: September 2024
Authors: Selma M.H. AL-Jawad, Isam M. Ibrahim, Amel S. Sabber, Abdulhussain K. Elttayf, Mohammed Rasheed
The electrical sensitivity was derived from data collected using a thermocouple wire and the film's resistance was recorded for every 10 °C increment, starting from room temperature and extending up to 150 °C.
These peaks align closely with the data found in the JCPD database (JCPDS no. 41-1445), specifically the (110), (101), (200), and (211)-oriented growth patterns.
The data from XRD, AFM, and SEM can be reconciled by considering that smaller primary particles have higher surface free energy, leading them to agglomerate more quickly and form larger grains.
Authors Contribution SMA, II, ASS, AKE; methodology, SMA, II, AKE; planned and conducted the tests, MR, AMA, II; data analysis and interpretation, and MR, SMA; prepared the manuscript.
Data Availability On request, the corresponding author will provide you with the data sets generated during this investigation.
These peaks align closely with the data found in the JCPD database (JCPDS no. 41-1445), specifically the (110), (101), (200), and (211)-oriented growth patterns.
The data from XRD, AFM, and SEM can be reconciled by considering that smaller primary particles have higher surface free energy, leading them to agglomerate more quickly and form larger grains.
Authors Contribution SMA, II, ASS, AKE; methodology, SMA, II, AKE; planned and conducted the tests, MR, AMA, II; data analysis and interpretation, and MR, SMA; prepared the manuscript.
Data Availability On request, the corresponding author will provide you with the data sets generated during this investigation.
Online since: September 2013
Authors: Wei Rong Qin
Study on the Extraction of the Water Bodies from Remote Sensing Image Using ENVI Software—Applied to the River Environmental Protection in Qinzhou
Weirong QIN
Qinzhou University, Qinzhou, Guangxi 535000, China
Keywords: Maximum; Likelihood; Data Mining; Classification; Water
Abstract.
Extracting the main water body of remote sensing image with the maximum likelihood algorithm of ENVI software based on Qinzhou's remote sensing images 2008 and 2011, and also analyzing the water body overview of Qinzhou Fig.1.Remote sensing image of Qinbeifang Fig.2.The combination of 543 wave bands of Qinzhou's remote sensing image in 2008: Purple-urban area of Qinzhou; Blue-drainage Fig.3.The latest remote sensing image by Google earth in 2003 Fig.4.A remote sensing image in 2008, which is a drainage remote sensing image classified with the maximum likelihood classification of ENVI software in recent years: blue-water body; red-urban area; green-others Fig.5.A remote sensing image of Qinzhou in 2011 Fig.6.A Qinzhou's drainage remote sensing image classified with the maximum likelihood classification of ENVI software in 2011: blue-water body; red-urban area; green-forest; yellow-others Fig.7.The remote sensing data of extracted water body in 2008 and 2011
Figure 5 and figure 6 are included in the processed data statistics after classified by ENVI software, and then the numerical values of blue water are compared (P5water is the pixels of the water body in figure 5, and p6water is the pixels of the water body in figure 6).
Reasons for the reduction of water bodies in Qinzhou Too fast increasing planting area of fast-growing eucalyptus The advantages of fast-growing eucalyptus include fast growth speed, and high economic benefit.
Extracting the main water body of remote sensing image with the maximum likelihood algorithm of ENVI software based on Qinzhou's remote sensing images 2008 and 2011, and also analyzing the water body overview of Qinzhou Fig.1.Remote sensing image of Qinbeifang Fig.2.The combination of 543 wave bands of Qinzhou's remote sensing image in 2008: Purple-urban area of Qinzhou; Blue-drainage Fig.3.The latest remote sensing image by Google earth in 2003 Fig.4.A remote sensing image in 2008, which is a drainage remote sensing image classified with the maximum likelihood classification of ENVI software in recent years: blue-water body; red-urban area; green-others Fig.5.A remote sensing image of Qinzhou in 2011 Fig.6.A Qinzhou's drainage remote sensing image classified with the maximum likelihood classification of ENVI software in 2011: blue-water body; red-urban area; green-forest; yellow-others Fig.7.The remote sensing data of extracted water body in 2008 and 2011
Figure 5 and figure 6 are included in the processed data statistics after classified by ENVI software, and then the numerical values of blue water are compared (P5water is the pixels of the water body in figure 5, and p6water is the pixels of the water body in figure 6).
Reasons for the reduction of water bodies in Qinzhou Too fast increasing planting area of fast-growing eucalyptus The advantages of fast-growing eucalyptus include fast growth speed, and high economic benefit.
Online since: May 2012
Authors: Zhi Sun, Zhi Gang Guo
After each measurement, data were transmitted to and stored in a computer for analysis.
The coefficient of determination r2 is a statistical measure of how well the regression line approximates the real data points.
The higher the r2 is, the better the regression line fits the data.
The empirical fitted curves as well as the test data are presented in Fig. 5.
This figure also presents that the fitted curve is of a good match to the test data.
The coefficient of determination r2 is a statistical measure of how well the regression line approximates the real data points.
The higher the r2 is, the better the regression line fits the data.
The empirical fitted curves as well as the test data are presented in Fig. 5.
This figure also presents that the fitted curve is of a good match to the test data.
Online since: January 2017
Authors: M.M. Rahman, K. Kadirgama, D. Ramasamy, M.M. Noor
The sensors were integrated by using data acquisition system from Agilent U2542A.
Data Acquisition System 9.
A pressure validation was done, by firstly comparing the trace of experimental data with the CFD.
Almost all points of the CFD coincides with the experimental data with 2% error.
As the exhaust stroke was not modelled with CFD, the data for exhaust stroke was neglected in the study.
Data Acquisition System 9.
A pressure validation was done, by firstly comparing the trace of experimental data with the CFD.
Almost all points of the CFD coincides with the experimental data with 2% error.
As the exhaust stroke was not modelled with CFD, the data for exhaust stroke was neglected in the study.
Online since: May 2014
Authors: Jari Larkiola, Gurutze Arruabarrena, Julen Ibabe, Antero Jokinen
In order to measure the stiffness, input data for the efforts has to be defined.
According to the technical data provided by the engine manufacturer the maximum torque is 17Nm when the engine runs at 8500rpm.
For that reason, a 3D scanning machine is used to analyse an object to collect data on its shape and create the digital 3D model.
Once the original 3D model is ready and the input data for the effort and boundary conditions is known, the first simulation is launched.
This model is imported to the software and the simulation is launched with the same input data used for the original model.
According to the technical data provided by the engine manufacturer the maximum torque is 17Nm when the engine runs at 8500rpm.
For that reason, a 3D scanning machine is used to analyse an object to collect data on its shape and create the digital 3D model.
Once the original 3D model is ready and the input data for the effort and boundary conditions is known, the first simulation is launched.
This model is imported to the software and the simulation is launched with the same input data used for the original model.
Online since: November 2013
Authors: Yin Fang, Chao Ma, Yong Dai, Zhen Liao Lv, Ying Ying Zhai
The transaction of generation rights coupled with the energy reduction target in the policy of energy conservation and pollution reduction is put forward.
Integrated genetic algorithm generally contains the following steps: (1) Encoded:The data of X solution in the solution space is called encoding from phenotype to genotype mapping.
Genetic algorithm during the search before you the solution data indicates the genotype string into spatial genetic structure data, these strings the different combinations of the configuration data to form the different groups.
(2) The generation of the initial population: It randomly generated N initial string structure data, each string structure data become an individual algorithm as the initial start iteration to this N string structure.
Integrated genetic algorithm generally contains the following steps: (1) Encoded:The data of X solution in the solution space is called encoding from phenotype to genotype mapping.
Genetic algorithm during the search before you the solution data indicates the genotype string into spatial genetic structure data, these strings the different combinations of the configuration data to form the different groups.
(2) The generation of the initial population: It randomly generated N initial string structure data, each string structure data become an individual algorithm as the initial start iteration to this N string structure.
Online since: January 2005
Authors: Pieter Samyn, Patrick de Baets
Although tribological tests on polymers are traditionally performed on small-scale
pin-on-disc or bloc-on-ring configurations, present sliding tests under high load provide more
accurate de-sign data.
However, the practical lifetime design of engineering polymers used under high loads and low sliding velocities can be troublesome, since most available data about their friction and wear properties are obtained from small-scale tests.
In many cases, design engineers need specified tribolo-gical data to establish the performance of different available polymers for a given operational system.
Their respective properties together with friction and wear data as expected from small-scale tests are included in Table 1.
Table 4 presents the volumetric wear rates calculated from weight difference (real material loss) and thickness reduction (dimensional change).
However, the practical lifetime design of engineering polymers used under high loads and low sliding velocities can be troublesome, since most available data about their friction and wear properties are obtained from small-scale tests.
In many cases, design engineers need specified tribolo-gical data to establish the performance of different available polymers for a given operational system.
Their respective properties together with friction and wear data as expected from small-scale tests are included in Table 1.
Table 4 presents the volumetric wear rates calculated from weight difference (real material loss) and thickness reduction (dimensional change).
Online since: February 2018
Authors: Petr Louda, Hristo Bahchedzhiev, Nikolay Petkov, Pavel Kejzlar, Totka Bakalova, Pavla Capkova, Martin Kormunda, Petr Rysanek
Data were analysed in the CasaXPS software for the fitting of multi-component peaks.
However, it is evident that the additional C2H2 increases the total carbon content and the simultaneous reduction of N2 reduces the nitrogen content as well as the Ti content, see Table 4.
Only the lowest carbon content coating (Sample-1) requires an additional component (C-5) at a binding energy of approximately 285.4 eV to fit the experimental data.
Moreover, the reduction in nitrogen leads to a reduction in the amount of TiN.
Moreover, it leads to a strong reduction in the resistance to plastic deformation (Table 6).
However, it is evident that the additional C2H2 increases the total carbon content and the simultaneous reduction of N2 reduces the nitrogen content as well as the Ti content, see Table 4.
Only the lowest carbon content coating (Sample-1) requires an additional component (C-5) at a binding energy of approximately 285.4 eV to fit the experimental data.
Moreover, the reduction in nitrogen leads to a reduction in the amount of TiN.
Moreover, it leads to a strong reduction in the resistance to plastic deformation (Table 6).
Online since: November 2017
Authors: A.S. Benosman, N. Kazi Tani, M.T. Gouasmi, Mohammed Belbachir, Hamed Taïbi
A linear relationship in the form of fc' = Vc x + b seems to be best fit data R2 value of more than 0.97.
In addition, a linear correlation between UPV and density was found represented by the equation y = 1.9725x – 1.2206 seems to be best fit data R2 value of more than 0.97 (R2 = 97.4%), where y is the pulse velocity and x the density.
Furthermore, this reduction in material strength can be considered to be potentially interesting for certain applications such as pavements, screed mortars, where the reduction of the elastic modulus may be considered as beneficial.
Thus, the reduction in Young modulus (Es) of elasticity on partial and/or total substitution of the natural aggregates by WPLA indicates higher flexibility.
The reduction in modulus of elasticity was due both to the reduction of screed mortars densities and to the presence of WPLA composite aggregates, which decreased the velocity of wave by disturbing the ultrasonic wave propagation.
In addition, a linear correlation between UPV and density was found represented by the equation y = 1.9725x – 1.2206 seems to be best fit data R2 value of more than 0.97 (R2 = 97.4%), where y is the pulse velocity and x the density.
Furthermore, this reduction in material strength can be considered to be potentially interesting for certain applications such as pavements, screed mortars, where the reduction of the elastic modulus may be considered as beneficial.
Thus, the reduction in Young modulus (Es) of elasticity on partial and/or total substitution of the natural aggregates by WPLA indicates higher flexibility.
The reduction in modulus of elasticity was due both to the reduction of screed mortars densities and to the presence of WPLA composite aggregates, which decreased the velocity of wave by disturbing the ultrasonic wave propagation.