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Online since: October 2006
Authors: S.J.I. Walker, P.R. Cunningham, G.S. Aglietti
It can be seen from this data that in general the theoretical values correspond well with the
experimental results.
However the biggest discrepancy between the data sets is for the second mode.
It can also be seen from the data that the riveted joint loss factors are generally lower than those from the bolted joint.
The loss factors for the noncritical modes (3, 4, 5, 6, 8, 10) correlate well with the previous data shown in Fig. 5.
The general trend for the data is that the loss factors reduce for the higher modes.
However the biggest discrepancy between the data sets is for the second mode.
It can also be seen from the data that the riveted joint loss factors are generally lower than those from the bolted joint.
The loss factors for the noncritical modes (3, 4, 5, 6, 8, 10) correlate well with the previous data shown in Fig. 5.
The general trend for the data is that the loss factors reduce for the higher modes.
Online since: August 2004
Authors: Dong Gi Lee, Man Yong Choi, Giu Lee, Gwang Hee Heo, Heung Chul Shin
For monitoring, real-time data were acquired by the NExT and the ERA.
This monitoring system using the EDR reduces the time of measuring and the number of data.
Then, the ERA is applied to this data, obtaining system characteristic parameters.
The data acquisition system was set up to measure CPS and coherence function.
Data acquisition system was used HP VXI 1432.
This monitoring system using the EDR reduces the time of measuring and the number of data.
Then, the ERA is applied to this data, obtaining system characteristic parameters.
The data acquisition system was set up to measure CPS and coherence function.
Data acquisition system was used HP VXI 1432.
Online since: December 2023
Authors: Yue Lu, Lin Lin Zhao, Ren Jie Xue, Qing Zhang, Yun Zhe Gao, Bao Guo Nian, Cheng Ma
The step size was 0.25μm and over 85% of the data were indexed successfully.
Then the data were processed using orientation imaging map (OIM) analysis software.
Wild spikes and a medium level of zero solution extrapolation were performed to filter the non-indexing data.
Tensile test data Heat Input Tensile Strength / MPa Joint factor(%) Elongation(%) Area Reduction (%) Fracture Position 30 J/mm 1020 84.51 19.0 18.72 BM 35 J/mm 1109 91.88 20.2 19.03 BM 40 J/mm 1008 83.51 17.6 16.52 BM Fig. 5.
To further define the grain boundary character of the laser welded joint, the misorientation angle distribution of the samples with different heat inputs is calculated based on the EBSD data, as shown in Fig.8.
Then the data were processed using orientation imaging map (OIM) analysis software.
Wild spikes and a medium level of zero solution extrapolation were performed to filter the non-indexing data.
Tensile test data Heat Input Tensile Strength / MPa Joint factor(%) Elongation(%) Area Reduction (%) Fracture Position 30 J/mm 1020 84.51 19.0 18.72 BM 35 J/mm 1109 91.88 20.2 19.03 BM 40 J/mm 1008 83.51 17.6 16.52 BM Fig. 5.
To further define the grain boundary character of the laser welded joint, the misorientation angle distribution of the samples with different heat inputs is calculated based on the EBSD data, as shown in Fig.8.
Online since: October 2014
Authors: Xiai Chen, Shuang Ke, Lu Han, Zhi Long Zhou, Qing Hua Zhang
Fig. 1.The composition diagram of THz-TDS host computer function module
(1)The main function of data reading module includes: the host computer reads data from SR810 latch through the GPIB-USB-HS interface card, and the communication format of the data is GPIB
The dimensions of the variables is reduced and the data is packed by using this method.
Using maximum variance principle, principal component analysis stands for the structure of the data on the whole, that is to say, data is reconstituted by a small number of new variables without losing the original basic data information.
Realization procedures of principal component analysis are as follows: (1)Standardize dealing with to the data
(for example ,reduce three-dimensional data into two-dimensional data).By using this dimensionality reduction method ,it is easier for the data observation and data analysis, in the meanwhile ,the lost of the information is not big.
The dimensions of the variables is reduced and the data is packed by using this method.
Using maximum variance principle, principal component analysis stands for the structure of the data on the whole, that is to say, data is reconstituted by a small number of new variables without losing the original basic data information.
Realization procedures of principal component analysis are as follows: (1)Standardize dealing with to the data
(for example ,reduce three-dimensional data into two-dimensional data).By using this dimensionality reduction method ,it is easier for the data observation and data analysis, in the meanwhile ,the lost of the information is not big.
Online since: December 2012
Authors: Qing Song Li, Qian Wen, Qing Xiang Meng, Xin Li, Jing Ying Zhao
Data Resources and the Study Method
The energy consumption, GDP, population data all were from from 1995 to 2012 [3] .
Estimation Model of Carbon Dioxide Emission The calculation of carbon emission of energy consumption was based on 2006 IPCC Guidelines for National Greenhouse Gas Inventories[4], combining the statistic features of energy data of He’nan, the calculation formula is following.
Carbon emission coefficient ηi applies the data from the analysis report of China sustainable development energy & carbon emission by China Energy Research Institute of National Development and Reform Commission (Table1).
In order to make the carbon emission intensity comparable for the years, it applied at comparable GDP index (i.e.to get the data sequences of the years based on the consistent data in 1991).
Fig.2 The distribution rate of carbon footprint in He’nan province from 1991 to 2010 Analysis of Carbon Footprint Intensity Carbon footprint intensity (CFI) was the data of carbon footprint of GDP per production unit.
Estimation Model of Carbon Dioxide Emission The calculation of carbon emission of energy consumption was based on 2006 IPCC Guidelines for National Greenhouse Gas Inventories[4], combining the statistic features of energy data of He’nan, the calculation formula is following.
Carbon emission coefficient ηi applies the data from the analysis report of China sustainable development energy & carbon emission by China Energy Research Institute of National Development and Reform Commission (Table1).
In order to make the carbon emission intensity comparable for the years, it applied at comparable GDP index (i.e.to get the data sequences of the years based on the consistent data in 1991).
Fig.2 The distribution rate of carbon footprint in He’nan province from 1991 to 2010 Analysis of Carbon Footprint Intensity Carbon footprint intensity (CFI) was the data of carbon footprint of GDP per production unit.
Online since: January 2012
Authors: Yi Ding, Xian Fu
The research of Self-Organizing Maps based on Document Collections
Yi Dinga ,Xian Fub
The college of computer science and technology Hubei Normal University,Huangshi,China
ateacher.dingyi@yahoo.com.cn, bteacher.fu@yahoo.com.cn
Keywords: Data mining; Document Collections; SOM; WEBSOM
Abstract.
Each map unit can represent certain kinds of data, and in the present paper the units represent genes expressed in similar ways in a chosen set of treatments.
The input data is represented in an ordered fashion on the map: map units close-by on the grid represent more similar expression profiles and units farther away represent progressively more different profiles.
Reduction of the dimensionality of the word category histograms by random mapping.
Schader (Eds.), Classification, Data Analysis and Data Highways, Springer, Berlin(2008), pp. 245-252
Each map unit can represent certain kinds of data, and in the present paper the units represent genes expressed in similar ways in a chosen set of treatments.
The input data is represented in an ordered fashion on the map: map units close-by on the grid represent more similar expression profiles and units farther away represent progressively more different profiles.
Reduction of the dimensionality of the word category histograms by random mapping.
Schader (Eds.), Classification, Data Analysis and Data Highways, Springer, Berlin(2008), pp. 245-252
Optimal Selection of Long Time Acoustic Features Using GA for the Assessment of Vocal Fold Disorders
Online since: December 2012
Authors: Sindhu Ravindran, Neoh Siew-Chin, Hariharan Muthusamy
In order to select best long-time acoustical parameters, different feature reduction methods or feature selection methods are proposed by researchers.
Some research works have been focused on the automatic detection of voice disorders from the excitation waveform collected with a laryngograph, or extracted from the acoustic data by inverse filtering.
In [8], PCA and LDA are used as feature reduction methods.
Among the feature reduction methods, LDA followed by k-NN classifier gives the best accuracy of 90.25%.
Moqarezadeh, Identification of Voice Disorders Using Long-Time Features and Support Vector Machine with Different Feature Reduction Methods, J.
Some research works have been focused on the automatic detection of voice disorders from the excitation waveform collected with a laryngograph, or extracted from the acoustic data by inverse filtering.
In [8], PCA and LDA are used as feature reduction methods.
Among the feature reduction methods, LDA followed by k-NN classifier gives the best accuracy of 90.25%.
Moqarezadeh, Identification of Voice Disorders Using Long-Time Features and Support Vector Machine with Different Feature Reduction Methods, J.
Online since: January 2015
Authors: Alba Covelo, Miguel Hernandez, Juan Genesca, Claudia Ramos, Emilio Bucio, José Guadalupe Bañuelos
Graphene was obtained by using an electrochemical method involving oxidation and reduction reactions in a sodium lauryl sulfate solution.
The electrochemical synthesis consisted of exfoliating graphene sheets from a high purity graphite rod by means of an oxidation reaction at +2V for 12 h in a sodium dodecyl sulfate solution (SDS) followed by a reduction process of -1V during 2 h.
Sample Thickness [µm] Rsol-gel – initial [W-cm2] rsol-gel - initial [MW-cm] Porosity [%] X 10-5 Blank sample 2.4 3406 14.19 35.23 DGSG 1.9 5406 28.45 17.57 GESG 2.1 8600 40.95 12.21 In accordance with the results obtained from the fitting data at the initial stage it is seen that the graphene film improves the dielectric properties of the sol-gel coatings with a low degree of porosity.
The electrochemical synthesis consisted of exfoliating graphene sheets from a high purity graphite rod by means of an oxidation reaction at +2V for 12 h in a sodium dodecyl sulfate solution (SDS) followed by a reduction process of -1V during 2 h.
Sample Thickness [µm] Rsol-gel – initial [W-cm2] rsol-gel - initial [MW-cm] Porosity [%] X 10-5 Blank sample 2.4 3406 14.19 35.23 DGSG 1.9 5406 28.45 17.57 GESG 2.1 8600 40.95 12.21 In accordance with the results obtained from the fitting data at the initial stage it is seen that the graphene film improves the dielectric properties of the sol-gel coatings with a low degree of porosity.
Online since: December 2012
Authors: Ya Nan Liu, Shu Fang Mei
Chromophore group is damaged firstly and the solution has been decolorized efficiently, the degradation of benzene ring and naphthalene ring is more difficult than that of the azo bond, and the reduction or disappearance of absorption peaks indicates that the aromatic ring of KN-B was degraded partly.
All the experiments were repeated twice, experimental error was below 5% and the average data were reported.
(4) Chromophore group was damaged, the degradation of benzene ring and naphthalene ring is more difficult than that of the azo bond, and the reduction or disappearance of absorption peaks indicated that the aromatic ring of KN-B was degraded partly.
All the experiments were repeated twice, experimental error was below 5% and the average data were reported.
(4) Chromophore group was damaged, the degradation of benzene ring and naphthalene ring is more difficult than that of the azo bond, and the reduction or disappearance of absorption peaks indicated that the aromatic ring of KN-B was degraded partly.
Online since: February 2012
Authors: Gaetano S. Palazzo, Pierpaolo Carlone
- Contour surface measurement and data processing.
A 0.5x0.5 spacing grid has been used for the acquisition of the out of plane displacement, resulting into about 1100 data points for surface.
The acquired data have then been processed using the multiple linear regression algorithm provided by the MATLAB software (Fig 1.g), according to the following polynomial form: z(x,y) = a0 x6 + a1 x5 + a2 x4 + a3 x3 + a4 x2 + a5 x + b0 y + c0 x y + c1 x2 y + c2 x y2 + d
Indeed, at relatively higher V, for each tool position, the reduction of time available for heat conduction, before the beginning of the material cooling, implies a reduction of the heated zone and an increase of thermal gradients.
An anomalous distribution has been found in tests 7-9 (intermediate Ω and kissing bond defect), characterized by a reduction of the tensile peak, localized closer to the top plane and a more evident compression in correspondence of the bottom plane.
A 0.5x0.5 spacing grid has been used for the acquisition of the out of plane displacement, resulting into about 1100 data points for surface.
The acquired data have then been processed using the multiple linear regression algorithm provided by the MATLAB software (Fig 1.g), according to the following polynomial form: z(x,y) = a0 x6 + a1 x5 + a2 x4 + a3 x3 + a4 x2 + a5 x + b0 y + c0 x y + c1 x2 y + c2 x y2 + d
Indeed, at relatively higher V, for each tool position, the reduction of time available for heat conduction, before the beginning of the material cooling, implies a reduction of the heated zone and an increase of thermal gradients.
An anomalous distribution has been found in tests 7-9 (intermediate Ω and kissing bond defect), characterized by a reduction of the tensile peak, localized closer to the top plane and a more evident compression in correspondence of the bottom plane.