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Online since: January 2014
Authors: Xian Feng Li, Feng Zhen Liu, De Li Zhao, Chang Bo Zhang, Xiu Yan Chang, Xiang Dong Zhao
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: March 2011
Authors: Shinobu Onoda, Hideharu Matsuura, Takeshi Ohshima, Hideki Yanagisawa, Kozo Nishino, Takunori Nojiri
Reduction in Majority-Carrier Concentration in Lightly-Doped 4H-SiC Epilayers by Electron Irradiation
Hideharu Matsuura1,a, Hideki Yanagisawa1, Kozo Nishino1, Takunori Nojiri1, Shinobu Onoda2,b, and Takeshi Ohshima2,c
1Osaka Electro-Communication University, 18-8 Hatsu-cho, Neyagawa, Osaka 572-8530, Japan
2Japan Atomic Energy Agency, 1233 Watanuki-machi, Takasaki, Gunma 370-1292, Japan
a matsuura@isc.osakac.ac.jp, bonoda.shinobu@jaea.go.jp, cohshima.takeshi20@jaea.go.jp
Keywords: Electron irradiation, Al-doped 4H-SiC, N-doped 4H-SiC, Reduction of acceptor densities, Reduction of donor densities, Radiation damage.
The mechanisms for the reduction in the hole concentration in lightly Al-doped p-type 4H-SiC epilayers by electron irradiation as well as in the electron concentration in lightly N-doped n-type 4H-SiC epilayers by electron irradiation are investigated.
Introduction By comparing electron-radiation damage in p-type 4H-SiC with that in p-type Si [1,2], it was found that the reduction in the temperature-dependent hole concentration, , in Al-doped p-type 4H-SiC by electron irradiation was much larger than in Al-doped p-type Si.
By fitting the curve to the experimental data, and were determined to be and [2].
By fitting the curve to the experimental data, the values of and were determined to be and , respectively.
The mechanisms for the reduction in the hole concentration in lightly Al-doped p-type 4H-SiC epilayers by electron irradiation as well as in the electron concentration in lightly N-doped n-type 4H-SiC epilayers by electron irradiation are investigated.
Introduction By comparing electron-radiation damage in p-type 4H-SiC with that in p-type Si [1,2], it was found that the reduction in the temperature-dependent hole concentration, , in Al-doped p-type 4H-SiC by electron irradiation was much larger than in Al-doped p-type Si.
By fitting the curve to the experimental data, and were determined to be and [2].
By fitting the curve to the experimental data, the values of and were determined to be and , respectively.
Online since: June 2010
Authors: Wan Li Zhao, Ya Na Li, Xue Fei Huang, Xiao Peng Wu, Xuan Chen, Lin Feng Li, Qing Hu Kang, Si Qun Ma
The makeup of units of simulation platform
The final aim of simulation platform is realizing sharing analysis data among of different CAE
software's previous and post processor and using the model repeatedly after one model is built,
whose digital simulation model is based on the geometry features and which making use of the
simulation software's data analysis interface and redevelop technology.
The key segment of simulation tool layer of platform lies realizing the integration and coordination of simulation data to guarantee the integrity, being latest and track ability of data during the whole simulation course.
The strategy of simulation is to build the perfect model and obtain the most accurate simulation result in the shortest time, during which the different sophisticated commercial software which fit this stage best is used in different stages and the data transformation in different stages is realized with the special interface of the software themselves.
Furthermore, the leading-in of PDM guarantees the correct data is transferred the exact persons with the correct way[4].
CAE technology supporting noise reduction design of electric locomotive wheel A.
The key segment of simulation tool layer of platform lies realizing the integration and coordination of simulation data to guarantee the integrity, being latest and track ability of data during the whole simulation course.
The strategy of simulation is to build the perfect model and obtain the most accurate simulation result in the shortest time, during which the different sophisticated commercial software which fit this stage best is used in different stages and the data transformation in different stages is realized with the special interface of the software themselves.
Furthermore, the leading-in of PDM guarantees the correct data is transferred the exact persons with the correct way[4].
CAE technology supporting noise reduction design of electric locomotive wheel A.
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: January 2013
Authors: Qiu Ying Li, Hui Qi Zhang
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: January 2013
Authors: Dai Jun Wang, Sheng Li Wu
The reduction degrees of FeO and Cr2O3 are 68.06% and 52.24% respectively, and comprehensive reduction degree is 58.52%.
However, the data of july to november showed, using the relative lower proportion of fine ore, the greater the number of using pellets, the more technical indicators were attained than fine ore were brought into the furnace directly.
Table 8 The chemical composition of finished pellets Name TCr TFe MCr MFe TC Percent(%) 33.50 22.04 17.50 15.00 2.90 Chrome concentrate pellets reduction used to express the reduction degree of its formula: (10) (11) (12) Formula: MFe——Metallic iron content of reduction kind, %; TFe——Total iron content of reduction kind, %; MCr——Metallic chromium content of reduction kind, %; TCr——Total chromium content of reduction kind, %; ——The reduction degree of iron, %; ——The reduction degree of chromium, %; ——The comprehensive reduction degree , %; Brought the table 5 data, concluded: =68.06%; =52.24%; =58.52%。
Table 9 The mass balance of grate-rotary kiln system Entry Output Item Unit(kg/min) Item Unit(kg/min) Green ball Dehydration loss Ash and bulk materials loss Iron reduction loss Chromium reduction loss Oxidation of coke powder loss Finished pellets 631.31 According to the law of conservation of mass, the material entry should be equal to the output item, then: (16) Brought the data and calculated kg/min, amounted green ball 59.23t/h.
New technology of chrome ore pre-reduction[J].
However, the data of july to november showed, using the relative lower proportion of fine ore, the greater the number of using pellets, the more technical indicators were attained than fine ore were brought into the furnace directly.
Table 8 The chemical composition of finished pellets Name TCr TFe MCr MFe TC Percent(%) 33.50 22.04 17.50 15.00 2.90 Chrome concentrate pellets reduction used to express the reduction degree of its formula: (10) (11) (12) Formula: MFe——Metallic iron content of reduction kind, %; TFe——Total iron content of reduction kind, %; MCr——Metallic chromium content of reduction kind, %; TCr——Total chromium content of reduction kind, %; ——The reduction degree of iron, %; ——The reduction degree of chromium, %; ——The comprehensive reduction degree , %; Brought the table 5 data, concluded: =68.06%; =52.24%; =58.52%。
Table 9 The mass balance of grate-rotary kiln system Entry Output Item Unit(kg/min) Item Unit(kg/min) Green ball Dehydration loss Ash and bulk materials loss Iron reduction loss Chromium reduction loss Oxidation of coke powder loss Finished pellets 631.31 According to the law of conservation of mass, the material entry should be equal to the output item, then: (16) Brought the data and calculated kg/min, amounted green ball 59.23t/h.
New technology of chrome ore pre-reduction[J].
Online since: April 2014
Authors: Xiao Fen Zhang, Yong Hu Zeng, Li Bang Ye, Chao Li
Evaluation data sources.
There are kinds of evaluation data sources in the MONE evaluation [8], such as experts’ experience data, infield simulation data, and outfield test data and so on.
Usually only one type of evaluation data are used, which allows multiple data sources support too simplistic.
But some data source cannot be used in evaluation directly [11].
How to express these data uniformly is a key problem.
There are kinds of evaluation data sources in the MONE evaluation [8], such as experts’ experience data, infield simulation data, and outfield test data and so on.
Usually only one type of evaluation data are used, which allows multiple data sources support too simplistic.
But some data source cannot be used in evaluation directly [11].
How to express these data uniformly is a key problem.
Online since: December 2012
Authors: Bo Zhang, Jia Wei, Ye Wu
Application of a Wavelet Extension De-noising Method In Seismic Data Processing
Ye Wua, Bo Zhangb and Jia Weic
1 Institute of Disaster-Prevention Science & Technology, Yanjiao, Sanhe city, 065201 China
asun_wuye@163.com, bzhangbo199011@163.com, cwj@163.com
Keywords: Wavelet Transform; extension; seismic data; signal de-noising
Abstract.
We have removed the high frequency noise in seismic data based on the suppressing detail components method, Fourier transform filtering method, WED method and reconstructing the 5th layer approximate coefficient method respectively, and the results show that the WED method can more effectively restrain noise than the other methods.
[6] Shu Li, Yucheng Shi, Yuankun Huo, Yan Tang, Based on the MATLAB seismic signal wavelet noise reduction, Gansu science and technology , 26(15), (2010), pp:54-55
[9] Junhua Zhang, Youxi Le, The wavelet transform and the fractal properties in the improvement of seismic data of the application of the resolution.
[12] Jingguang Ceng, Yaqin Shu, Yong Zhong, Fractal and chaos characteristics of seismic data, Petroleum geophysical exploration, 30(6), (1995), 743-748.
We have removed the high frequency noise in seismic data based on the suppressing detail components method, Fourier transform filtering method, WED method and reconstructing the 5th layer approximate coefficient method respectively, and the results show that the WED method can more effectively restrain noise than the other methods.
[6] Shu Li, Yucheng Shi, Yuankun Huo, Yan Tang, Based on the MATLAB seismic signal wavelet noise reduction, Gansu science and technology , 26(15), (2010), pp:54-55
[9] Junhua Zhang, Youxi Le, The wavelet transform and the fractal properties in the improvement of seismic data of the application of the resolution.
[12] Jingguang Ceng, Yaqin Shu, Yong Zhong, Fractal and chaos characteristics of seismic data, Petroleum geophysical exploration, 30(6), (1995), 743-748.
Online since: October 2011
Authors: A. Bozorgi, A. Riasi, A. Nourbakhsh
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 2006
Authors: Masafumi Harada, Yoshifumi Kimura
Introduction
Ultrafine particles of many metals have been prepared by various methods, such as photochemical
reduction, chemical reduction, chemical liquid deposition, and thermal decomposition.
The scattering data were collected by a position sensitive proportional counter (PSPC).
These data were obtained from the measurement during the stirring of the emulsions, resulting in getting a worse S/N spectrum.
It is expected that the data quality as for S/N will become better without stirring these emulsions.
Reduction with NaBH4 and detailed analysis are in progress.
The scattering data were collected by a position sensitive proportional counter (PSPC).
These data were obtained from the measurement during the stirring of the emulsions, resulting in getting a worse S/N spectrum.
It is expected that the data quality as for S/N will become better without stirring these emulsions.
Reduction with NaBH4 and detailed analysis are in progress.