Sort by:
Publication Type:
Open access:
Publication Date:
Periodicals:
Search results
Online since: May 2007
Authors: B.H. Moon, Y.B. Park, Sung Su Kim, Gyu Tae Seo, T.S. Lee, T.S. Kim
Degradation of Azo Dyes by the Reduction and Oxidation with Nano
Sized Zero Valented Iron
B.H.
Pre-reduction by nZVI could convert azo dye to products whose oxidation is more degradable and therefore enhances the removal efficiency.
The successful use of ZVI has been reported to decolorize azo dye solution by reduction of the -N=N- bond at the iron surface [2,3,4,5].
The laboratory synthesized nZVI used in this study had the specific surface area of 27.9m2/g, which is smaller than the data reported in the literature.
Compared to various H2O2 dosages, pre-reduction of Orange II with nZVI enhanced the TOC removal by 5~15%.
Pre-reduction by nZVI could convert azo dye to products whose oxidation is more degradable and therefore enhances the removal efficiency.
The successful use of ZVI has been reported to decolorize azo dye solution by reduction of the -N=N- bond at the iron surface [2,3,4,5].
The laboratory synthesized nZVI used in this study had the specific surface area of 27.9m2/g, which is smaller than the data reported in the literature.
Compared to various H2O2 dosages, pre-reduction of Orange II with nZVI enhanced the TOC removal by 5~15%.
Online since: February 2013
Authors: Chuen Jiuan Jane
The validity of the proposed approach is demonstrated using electronic stock data extracted from the financial database maintained by the Taiwan Economic Journal (TEJ).
Data Extraction In the present study, the performance of the proposed stock selection mechanism was evaluated using electronic stock data extracted from the TEJ database [11] over the period extending from the first quarter of 1998 to 2/27/2009. 4.
Step 1: Data collection and attribute determination In each quarter, the 53 attributes of each specified stock item within the TEJ database are collected automatically, and the user is given the opportunity to modify the choice of financial ratios used for attribute reduction in the initial GRA process, to select a new GRA model for attribute reduction purposes, and to modify the decision-making attributes used to filter the stocks in the lower approximate set.
Step 2: Data preprocessing Having collected the relevant financial data for each quarterly period, a basic pre-processing operation is performed to improve the efficiency of the GRA attribute reduction process.
Data collection and attribute determination Start Data preprocessing Attribute reduction using GRA model Fuzzy C-means clustering Selection and filtering of feasible stocks Fund allocation Renew the GRA Method No Yes Yes No Continue investment?
Data Extraction In the present study, the performance of the proposed stock selection mechanism was evaluated using electronic stock data extracted from the TEJ database [11] over the period extending from the first quarter of 1998 to 2/27/2009. 4.
Step 1: Data collection and attribute determination In each quarter, the 53 attributes of each specified stock item within the TEJ database are collected automatically, and the user is given the opportunity to modify the choice of financial ratios used for attribute reduction in the initial GRA process, to select a new GRA model for attribute reduction purposes, and to modify the decision-making attributes used to filter the stocks in the lower approximate set.
Step 2: Data preprocessing Having collected the relevant financial data for each quarterly period, a basic pre-processing operation is performed to improve the efficiency of the GRA attribute reduction process.
Data collection and attribute determination Start Data preprocessing Attribute reduction using GRA model Fuzzy C-means clustering Selection and filtering of feasible stocks Fund allocation Renew the GRA Method No Yes Yes No Continue investment?
Online since: September 2013
Authors: Jiang Bi Hu, Ran Li, James Tsai
All partial data affected by the presence of other vehicles was removed to maintain the most consistent experimental conditions.
Data Manipulation Data that affected the driver's physiological and psychological and driving behavior characteristics in non-tunnel lighting conditions was excluded in the 50 groups of sample data obtained in the experiments and from the 15 groups of samples in the test of car drivers in free-flow traffic conditions.
Based upon the calculation principle of the representative value, we calculated the 15 data groups shown in Table3.
(1)Relationship between CRP and LRC The relationship between the CRP and the reciprocal of the LRC in the 15 groups of sample data from the tunnel threshold zone lighting can be drawn on a scatter diagram in Fig.2.
Fig.2 Relationship between CRP and the reciprocal of LRC (2)Relationship between CRP and V The relationship between the CRP and V of the 15 sample groups of data at the tunnel threshold zone lighting is shown in the scatter diagram in Fig.3.
Data Manipulation Data that affected the driver's physiological and psychological and driving behavior characteristics in non-tunnel lighting conditions was excluded in the 50 groups of sample data obtained in the experiments and from the 15 groups of samples in the test of car drivers in free-flow traffic conditions.
Based upon the calculation principle of the representative value, we calculated the 15 data groups shown in Table3.
(1)Relationship between CRP and LRC The relationship between the CRP and the reciprocal of the LRC in the 15 groups of sample data from the tunnel threshold zone lighting can be drawn on a scatter diagram in Fig.2.
Fig.2 Relationship between CRP and the reciprocal of LRC (2)Relationship between CRP and V The relationship between the CRP and V of the 15 sample groups of data at the tunnel threshold zone lighting is shown in the scatter diagram in Fig.3.
Online since: January 2013
Authors: Hui Qi Zhang, Qiu Ying Li
This paper put forward the collecting method of reliability failure data and data preprocessing method including data cleaning and data analysis method, which based on the analysis of the importance and the source of failure data in the software reliability testing and the classification of software failure data.
Finally through an example, it displayed the reduction of data noises and the promotion of data quality which produced by the preprocessing methods.
And the failure data can be divided into complete failure data and incomplete failure data.
One is the standard to collect data (i.e. what kinds of data should be collected), the other is the specified process of data collection (i.e. how to collect data).
Exposure analysis In the process of collecting software failure data, it is possible to lose some data and bring in some useless data meanwhile.
Finally through an example, it displayed the reduction of data noises and the promotion of data quality which produced by the preprocessing methods.
And the failure data can be divided into complete failure data and incomplete failure data.
One is the standard to collect data (i.e. what kinds of data should be collected), the other is the specified process of data collection (i.e. how to collect data).
Exposure analysis In the process of collecting software failure data, it is possible to lose some data and bring in some useless data meanwhile.
Online since: October 2011
Authors: A. Bozorgi, A. Nourbakhsh, A. Riasi
Investigation of Effects of Changing Blade Position and Size Reduction on Performance of Axial Pump used as Turbine
1A.
In this present work, an axial pump is simulated in reverse mode by computational fluid dynamics using different turbulence models and Characteristic curves of the reverse pump are obtained for each turbulence model and are compared with experimental data.
Comparison of turbulence models results The results of all models are compared with experimental data and are shown in Figs. 3-5.
Impeller size reduction increases head, but decreases flow rates and maximum efficiency.
Lai, Hydraulic analysis of a pump as a turbine with CFD and experimental data, ImechE, Seminar Proc. of Advances of CFD in Fluid Machinery Design, 2003, London, England
In this present work, an axial pump is simulated in reverse mode by computational fluid dynamics using different turbulence models and Characteristic curves of the reverse pump are obtained for each turbulence model and are compared with experimental data.
Comparison of turbulence models results The results of all models are compared with experimental data and are shown in Figs. 3-5.
Impeller size reduction increases head, but decreases flow rates and maximum efficiency.
Lai, Hydraulic analysis of a pump as a turbine with CFD and experimental data, ImechE, Seminar Proc. of Advances of CFD in Fluid Machinery Design, 2003, London, England
Online since: July 2012
Authors: Sheng Zhou Chen, Han Bo Zou, Wei Ming Lin, Wei Yang, Liang Wei Li
For this paper, we use the Co loading values measured by EDS analysis in the data analysis and discussion.
Fig. 3 Koutecky-Levich plots for the ORR on CoNC coated glassy carbon electrodes Fig. 3 shows the Koutecky-Levich plots for the ORR data taken at the potential from -0.1 to 0.2 V.
The data comes from the current-potential curves (Fig. 2) obtained using CoNC2.
Its approach contrasts with the theoretical plots for 2- and 4-electron reduction reaction in Fig. 3.
It could be suggested that the CoNC2 can alter the ORR reaction mechanism via both the 2-electron reduction reaction and the 4-electron reduction reaction. 2.3 Scanning electron microscopy measurement Fig. 4 shows SEM images of a sample of CoNC2 catalyst magnified 5000 and 10000 times.
Fig. 3 Koutecky-Levich plots for the ORR on CoNC coated glassy carbon electrodes Fig. 3 shows the Koutecky-Levich plots for the ORR data taken at the potential from -0.1 to 0.2 V.
The data comes from the current-potential curves (Fig. 2) obtained using CoNC2.
Its approach contrasts with the theoretical plots for 2- and 4-electron reduction reaction in Fig. 3.
It could be suggested that the CoNC2 can alter the ORR reaction mechanism via both the 2-electron reduction reaction and the 4-electron reduction reaction. 2.3 Scanning electron microscopy measurement Fig. 4 shows SEM images of a sample of CoNC2 catalyst magnified 5000 and 10000 times.
Online since: January 2014
Authors: Xiang Dong Zhao, Xian Feng Li, Feng Zhen Liu, De Li Zhao, Chang Bo Zhang, Xiu Yan Chang
Strengthen the network loss management, implementation of loss reduction measures, has become an important power supply enterprise content management one.
The Theoretical Calculation of Net Loss Distribution network is designed as closed-loop, the operation mode of open-loop characteristics, the actual operation of the distribution network mostly radial, the detailed information of each load point and component data is should be collected and collated in the distribute network ,but it is extremely difficult, also a lack of trend analysis for the load required data.
To ascertain the reasons for lifting line loss, power loss reduction and management measures developed, in net loss management departments, data would be collected carefully, want to give an accurate and timely data and statistics[3]
Reactive power compensation of power supply enterprises and users combined in the power compensation. 5) Loss Reduction and regulator combined to derogate, account regulator taken, especially for long lines, many branches, load dispersion, low power factor of the rural distribution network loss reduction is the main purpose
[3] QIN Xiaojun, Optimal Scheduling Based on Power Loss Reduction, J.
The Theoretical Calculation of Net Loss Distribution network is designed as closed-loop, the operation mode of open-loop characteristics, the actual operation of the distribution network mostly radial, the detailed information of each load point and component data is should be collected and collated in the distribute network ,but it is extremely difficult, also a lack of trend analysis for the load required data.
To ascertain the reasons for lifting line loss, power loss reduction and management measures developed, in net loss management departments, data would be collected carefully, want to give an accurate and timely data and statistics[3]
Reactive power compensation of power supply enterprises and users combined in the power compensation. 5) Loss Reduction and regulator combined to derogate, account regulator taken, especially for long lines, many branches, load dispersion, low power factor of the rural distribution network loss reduction is the main purpose
[3] QIN Xiaojun, Optimal Scheduling Based on Power Loss Reduction, J.
Online since: September 2014
Authors: Trevor A. Dean, Catrin Mair Davies, Denis J. Politis, Nicholas J. Politis, Jian Guo Lin
An experimental and numerical investigation into forming force reduction in precision gear forging
Nicholas J.
As maximum force, along with workpiece size are the two key specifications for industrial forging presses, a reduction in the load required to fully fill a die translates directly to a reduction in the capital investment cost of a production process.
Experimental true stress-plastic strain data is used up to a plastic strain of ε = 0.401, and thereafter the properties are represented using the power-law equation, σ=σy+Kεpn, where: σy=7MPa, K = 96.63 MPa, and n=0.3955.
In order to describe work hardening for strains greater than those obtained in the experiment (ε = 0.401), experimental data was extrapolated to ε = 4 using a power law model with constants: K = 96.63 MPa, and n=0.3955.
A 0.3H sized relief port allows a 45% load reduction, while wasting only 0.3% of the initial billet material.
As maximum force, along with workpiece size are the two key specifications for industrial forging presses, a reduction in the load required to fully fill a die translates directly to a reduction in the capital investment cost of a production process.
Experimental true stress-plastic strain data is used up to a plastic strain of ε = 0.401, and thereafter the properties are represented using the power-law equation, σ=σy+Kεpn, where: σy=7MPa, K = 96.63 MPa, and n=0.3955.
In order to describe work hardening for strains greater than those obtained in the experiment (ε = 0.401), experimental data was extrapolated to ε = 4 using a power law model with constants: K = 96.63 MPa, and n=0.3955.
A 0.3H sized relief port allows a 45% load reduction, while wasting only 0.3% of the initial billet material.
Online since: December 2023
Authors: Farhanini Yusoff, Karthi Suresh
Table 1 shows the data of elemental mass for both nanocomposites, where a slight increase in mass of oxygen is seen for rGO/Fe3O4/SiO2. the mass of carbon and ferum was decreased, possibly lost during addition of SiO2 [22].
EDX mass data of nanocomposites.
The rGO/Fe3O4/SiO2/GCE possesses incomplete and discrete semicircle (Fig. 4 (a)) compared to bare GCE electrode, hence providing data that charge transfer resistance (Rct) was greater in bare GCE compared to the electrocatalyst deposited electrodes.
(a) Comparison of electrochemical impedance spectroscopy, (b) bode phase plot and (c) proposed electrochemical circuit based on Nyquist data of bare GCE, rGO/Fe3O4/GCE and rGO/Fe3O4/SiO2/GCE in 5.0 mM K4[Fe(CN)6] of 1.0 M KCl as electrolyte media.
From the obtained data through CV of ORR in Fig. 5, the electron transfer from oxygen was calculated with assist of Randles-Sevcik equation (3) as follows, (3) For the reduction of oxygen that occurs in working electrode, it was known from the calculation that the electron transfer for bare GCE, rGO/Fe3O4/GCE and rGO/Fe3O4/SiO2/GCE were 1.3, 2.3 and 3.7, respectively.
EDX mass data of nanocomposites.
The rGO/Fe3O4/SiO2/GCE possesses incomplete and discrete semicircle (Fig. 4 (a)) compared to bare GCE electrode, hence providing data that charge transfer resistance (Rct) was greater in bare GCE compared to the electrocatalyst deposited electrodes.
(a) Comparison of electrochemical impedance spectroscopy, (b) bode phase plot and (c) proposed electrochemical circuit based on Nyquist data of bare GCE, rGO/Fe3O4/GCE and rGO/Fe3O4/SiO2/GCE in 5.0 mM K4[Fe(CN)6] of 1.0 M KCl as electrolyte media.
From the obtained data through CV of ORR in Fig. 5, the electron transfer from oxygen was calculated with assist of Randles-Sevcik equation (3) as follows, (3) For the reduction of oxygen that occurs in working electrode, it was known from the calculation that the electron transfer for bare GCE, rGO/Fe3O4/GCE and rGO/Fe3O4/SiO2/GCE were 1.3, 2.3 and 3.7, respectively.
Online since: November 2011
Authors: Zhan Guo Liang, Jun Mu, Ji Cheng Shi
Tel:+86-411-84106890, Fax: +86-411-84106890,
E-mail: mujun@djtu.edu.cn
Keyword microbial reduction oxidation method Fe3O4 nanoparticle sulfate-reducing bacterium
Abstract By using microbial reduction combining natural oxidation method, magnetic Fe3O4 nanoparticles have been synthesized.
This paper prepared magnetic Fe3O4 nanoparticles by using microbial reduction combining natural oxidation method, the new method is first reported in this paper.
Data and information of the Figure 3 shows atomic ratio of O and Fe in the sample is approximately equal to 1.
It has stated that FeS nanoparticles is thoroughly turned into FeO nanoparticles, Figure 4 is EDS (energy dispersive spectroscopy)Spectrum and Element analysis of product , Data and information of the Figure 4 shows atomic ratio of O and Fe in the sample is approximately equal to 1.128.
SEM images of FeO and Fe3O4 Conclusions In summary, the magnetic nano Fe3O4 materials have been successfully synthesized by using microbial reduction combining natural oxidation method.
This paper prepared magnetic Fe3O4 nanoparticles by using microbial reduction combining natural oxidation method, the new method is first reported in this paper.
Data and information of the Figure 3 shows atomic ratio of O and Fe in the sample is approximately equal to 1.
It has stated that FeS nanoparticles is thoroughly turned into FeO nanoparticles, Figure 4 is EDS (energy dispersive spectroscopy)Spectrum and Element analysis of product , Data and information of the Figure 4 shows atomic ratio of O and Fe in the sample is approximately equal to 1.128.
SEM images of FeO and Fe3O4 Conclusions In summary, the magnetic nano Fe3O4 materials have been successfully synthesized by using microbial reduction combining natural oxidation method.