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Online since: January 2013
Authors: Chang Sheng Zhou, De En, Na Na Wei, Xiao Long Shi, Huang He Wei
As the data collected in the wild are often subjected to the interference of noise, is not conducive to the analysis and interpretation of seismic data, therefore removing noise is the premise of data interpretation.
Various forms of the existence of noise can make useful signal completely submerged in the noise. resulting in signal to noise ratio seriously reduced, which caused much inconvenience to the latter part of the data processing and analysis.
The Fourier transform is noise reduction processing method, in handling the non-stationary signal and transient signal, Fourier transform will ignore transient information.
The results show that the Fourier analysis noise reduction are not good original, especially in the waveform mutations place, the denoising waveform has some distortion.
But wavelet soft threshold denoising waveform is smooth, and it can better reconstruction original waveform, so it is a useful tool of the seismic data processing.
Various forms of the existence of noise can make useful signal completely submerged in the noise. resulting in signal to noise ratio seriously reduced, which caused much inconvenience to the latter part of the data processing and analysis.
The Fourier transform is noise reduction processing method, in handling the non-stationary signal and transient signal, Fourier transform will ignore transient information.
The results show that the Fourier analysis noise reduction are not good original, especially in the waveform mutations place, the denoising waveform has some distortion.
But wavelet soft threshold denoising waveform is smooth, and it can better reconstruction original waveform, so it is a useful tool of the seismic data processing.
Online since: February 2013
Authors: Fu Xing Yu, Yi Na Suo, Xin Zhang, Ai Ding Yan, Fu Long Liu
Mining test in data of tangshan iron&steel shows that the method is effective in practical application.
The study also distills the eigenvalue of parameter changes, which come to be the data source for the knowledge and information database of blast furnace expert systems, from field investigation and statistical analysis of historical data of blast furnace operation[1].
The Hierarchical Cluster Analysis procedure is limited to smaller data files (hundreds of objects to be clustered) .
The K-Means Cluster Analysis procedure is limited to continuous data and requires you to specify the number of clusters in advance, it has the ability to save distances from cluster centers for each object.and it has the ability to read initial cluster centers from and save final cluster centers to an external SPSS file.Additionally, the K-Means Cluster Analysis procedure can analyze large data files.This paper uses K-Means Cluster Analysis[2]. 1 Select number of clusters Cluster analysis for small samples of data .When the analysis results and the actual data is consistent Statistics All data.The paper selects 1102 samples.
Factor analysis is often used in data reduction to identify a small number of factors that explain most of the variance observed in a much larger number of manifest variables.
The study also distills the eigenvalue of parameter changes, which come to be the data source for the knowledge and information database of blast furnace expert systems, from field investigation and statistical analysis of historical data of blast furnace operation[1].
The Hierarchical Cluster Analysis procedure is limited to smaller data files (hundreds of objects to be clustered) .
The K-Means Cluster Analysis procedure is limited to continuous data and requires you to specify the number of clusters in advance, it has the ability to save distances from cluster centers for each object.and it has the ability to read initial cluster centers from and save final cluster centers to an external SPSS file.Additionally, the K-Means Cluster Analysis procedure can analyze large data files.This paper uses K-Means Cluster Analysis[2]. 1 Select number of clusters Cluster analysis for small samples of data .When the analysis results and the actual data is consistent Statistics All data.The paper selects 1102 samples.
Factor analysis is often used in data reduction to identify a small number of factors that explain most of the variance observed in a much larger number of manifest variables.
Online since: November 2013
Authors: Zhen Yu Lei, Xu Yan
Research on the application of TLD to viaduct box girder bridges for vibration and noise reduction
Xu Yan1, a, Zhenyu Lei1, b*
1 Institute of Railway and Urban Mass Transit of Tongji University, Shanghai 201800,China
achys4444@126.com, bLeizhenyu@126.com
Keywords: TLD, box girder bridges, vibration and noise reduction
Abstract.
Record the vibration data within 5 seconds, and the number of data is 1000.
Results and Discussion Vertical Vibration Reduction.
Lateral Vibration Reduction.
Noise Radiation Reduction.
Record the vibration data within 5 seconds, and the number of data is 1000.
Results and Discussion Vertical Vibration Reduction.
Lateral Vibration Reduction.
Noise Radiation Reduction.
Online since: March 2014
Authors: Dong Li
Rough set theory is a new tool of data analysis to deal with imprecise, incomplete and uncertainty.
The fault tolerance and generalization of RS are not strong enough and the limitation of quantify the data are the advantages of SVM as complementary.
The system offers its two innovations: first, reducing data of input side of SVM by attribute reduction of the data with RS process in order to improve the operating speed of system.
The large mount of data need to be computed in facial expression recognition and the reduction the classification accuracy caused by the data of noise.
In this paper, RS-SVM has been employed in classification of facial expression recognition due to the good anti-jamming and reduction of data dimensionality and computation.
The fault tolerance and generalization of RS are not strong enough and the limitation of quantify the data are the advantages of SVM as complementary.
The system offers its two innovations: first, reducing data of input side of SVM by attribute reduction of the data with RS process in order to improve the operating speed of system.
The large mount of data need to be computed in facial expression recognition and the reduction the classification accuracy caused by the data of noise.
In this paper, RS-SVM has been employed in classification of facial expression recognition due to the good anti-jamming and reduction of data dimensionality and computation.
Online since: May 2012
Authors: Hao Zhang, Ze Meng Zhao, Ahmet Palazoglu, Wei Sun
Data from Houston Metropolitan Area, TX are used in this paper.
In the next section, data characteristics in Houston Metropolitan Area are described.
Wavelets are used in data compression, image and signal processing, data de-noising and many other fields.
Data from 2000 to 2007 are used to build the HMM model.
Data from 2008 to 2009 are for validation.
In the next section, data characteristics in Houston Metropolitan Area are described.
Wavelets are used in data compression, image and signal processing, data de-noising and many other fields.
Data from 2000 to 2007 are used to build the HMM model.
Data from 2008 to 2009 are for validation.
Online since: February 2010
Authors: Luisa F. Cueto, Gerardo T. Martínez, Eduardo M. Sánchez, Genaro Zavala
Surface Characterization and CO2 Reduction Using Electrodeposited
Silver Particles over TiO2 Thin Film
Luisa F.
Furthermore, photo reduction of CO2 by TiO2 is enhanced by metallic silver [5].
On the other hand, electrochemical reduction of CO2 upon TiO2 surfaces [6] has been studied briefly.
Here, the average rugosity (Ra, Table 3) diminishes as scan size increases and the maximum high (Zrange) diminishes as well due to a smaller area size where the effects caused by large cumuli is eliminated; therefore, data is related to small Figure 3.
Therefore, on Table 4 we present particle size data for the 1 μm scan size only.
Furthermore, photo reduction of CO2 by TiO2 is enhanced by metallic silver [5].
On the other hand, electrochemical reduction of CO2 upon TiO2 surfaces [6] has been studied briefly.
Here, the average rugosity (Ra, Table 3) diminishes as scan size increases and the maximum high (Zrange) diminishes as well due to a smaller area size where the effects caused by large cumuli is eliminated; therefore, data is related to small Figure 3.
Therefore, on Table 4 we present particle size data for the 1 μm scan size only.
Study on the Basic Performance and Noise Characteristics of Rubber Cement Concrete of Modified Latex
Online since: June 2014
Authors: Xiao Chu Wang, Wei Li, Zhen Huang, Jian Peng Zhang
The test is divided into a rubber content of 0%, 5%, 10%, 15% and 20%,under the conditions that the SBR content 5% of cement mass, study the ratio of tension and pressure and fracture pressure performance of latex rubber modified concrete, and studies the noise reduction properties of concrete, test ultrasonic propagation velocity in the concrete.
Tests show that rubber latex can improve the interface effect between rubbers and cement base material, improve the bonding strength between the two, improve the ratio of tension and pressure and fracture pressure ratio performance of concrete, and reduce the propagation velocity of ultrasonic in concrete, enhance the noise reduction performance of concrete.
It also shows that the elastic is good material, the ultrasonic velocity in this kind of material is smaller, the noise reduction performance is better, and the ultrasonic velocity in concrete can be used to indirectly measure the concrete performance of noise reduction, noise [2].
In order to facilitate comparison, the unified test adopts the ordinary concrete mechanics performance test method standard "(GB/T50081-2002)[4] of the provisions of relevant test operation, the test data are shown in Table 1: Table1 Basic Mechanics Performance Index of Concrete Specimen Number Rubber Content(%) Compressive Strength Tensile Strength Flexural Strength Strength Increment (Mpa) (%) Strength Increment (Mpa) (%) Strength Increment (Mpa) (%) DC MDC 0 60.35 14.1 5.25 15.6 6.63 21.3 68.88 6.07 8.04 NRC MRC 5 55.42 11.5 4.86 14.8 6.37 19.0 61.79 5.58 7.58 NRC MRC 10 49.61 10.3 4.49 15.1 5.83 23.3 54.74 5.17 7.19 NRC MRC 15 46.45 7.4 4.29 14.7 5.67 21.2 49.88 4.92 6.96 NRC MRC 20 40.79 12.3 3.88 20.9 5.11 28.0 45.81 4.69 6.54 We can see from Table 1, addition of latex, improves compressive strength, splitting tensile strength and bending strength
Anti noise and noise reduction performance of Rubber cement concrete [J] Yangtze River.2010, 41 (10): 71-74
Tests show that rubber latex can improve the interface effect between rubbers and cement base material, improve the bonding strength between the two, improve the ratio of tension and pressure and fracture pressure ratio performance of concrete, and reduce the propagation velocity of ultrasonic in concrete, enhance the noise reduction performance of concrete.
It also shows that the elastic is good material, the ultrasonic velocity in this kind of material is smaller, the noise reduction performance is better, and the ultrasonic velocity in concrete can be used to indirectly measure the concrete performance of noise reduction, noise [2].
In order to facilitate comparison, the unified test adopts the ordinary concrete mechanics performance test method standard "(GB/T50081-2002)[4] of the provisions of relevant test operation, the test data are shown in Table 1: Table1 Basic Mechanics Performance Index of Concrete Specimen Number Rubber Content(%) Compressive Strength Tensile Strength Flexural Strength Strength Increment (Mpa) (%) Strength Increment (Mpa) (%) Strength Increment (Mpa) (%) DC MDC 0 60.35 14.1 5.25 15.6 6.63 21.3 68.88 6.07 8.04 NRC MRC 5 55.42 11.5 4.86 14.8 6.37 19.0 61.79 5.58 7.58 NRC MRC 10 49.61 10.3 4.49 15.1 5.83 23.3 54.74 5.17 7.19 NRC MRC 15 46.45 7.4 4.29 14.7 5.67 21.2 49.88 4.92 6.96 NRC MRC 20 40.79 12.3 3.88 20.9 5.11 28.0 45.81 4.69 6.54 We can see from Table 1, addition of latex, improves compressive strength, splitting tensile strength and bending strength
Anti noise and noise reduction performance of Rubber cement concrete [J] Yangtze River.2010, 41 (10): 71-74
Online since: June 2012
Authors: Yan Ge Chen
According to the network element modeling principles’ abstract analysis on various network data, build the network element model on various data in network.
The T1 data integration solution is an effective data integration product and service system.
The advantage of virtual method integration system is that it doesn’t need to re-deal with the original data resources, the data providers only need to provide the interface that can access to its data.
The operation model after data integration In this model, the newly increased data center is used to integrate all data resources in network.
The information system and database system that don’t need to be reformed and upgraded can extract the necessary data into the data center by the standard data agreement of cross-platform; realizing the data sharing of multiple business process and management decision class.
The T1 data integration solution is an effective data integration product and service system.
The advantage of virtual method integration system is that it doesn’t need to re-deal with the original data resources, the data providers only need to provide the interface that can access to its data.
The operation model after data integration In this model, the newly increased data center is used to integrate all data resources in network.
The information system and database system that don’t need to be reformed and upgraded can extract the necessary data into the data center by the standard data agreement of cross-platform; realizing the data sharing of multiple business process and management decision class.
Online since: July 2011
Authors: Tong Hua Zhang, Min Guo, Xiong Yan
These resulted in a considerable reduction in the data and a reduction in the computational time to perform correlation.
However, this approach causes computational difficulties in the application of the tremendous AE data.
The reconstructed signal retains main information about modal dynamics and results in a considerable reduction in the data.
Settingis the discrete sampling data of the signal,,orthogonal wavelet decomposition of signalcan be expressed as
Reconstructed signal considerably reduces the data, which results in the reduction of the computational time for correlation filtering.
However, this approach causes computational difficulties in the application of the tremendous AE data.
The reconstructed signal retains main information about modal dynamics and results in a considerable reduction in the data.
Settingis the discrete sampling data of the signal,,orthogonal wavelet decomposition of signalcan be expressed as
Reconstructed signal considerably reduces the data, which results in the reduction of the computational time for correlation filtering.
Online since: May 2012
Authors: Jia Liu, Qiao Yang, Nan Qi Ren, Yu Jie Feng, Xin Xin Shi
Platinum, as a commonly used catalyst for oxygen reduction reaction (ORR) in MFC, has hindered the development of MFC as the result of its high-cost.
Three kinds of carbon powders with different grain sizes were chosen to prepare nitrogen-doped carbon powder (NDCP) as a low-cost catalyst for oxygen reduction in MFCs.
The electrons and protons are combined with certain oxidants, forming reduction products on the cathode.
Carbon-supported platinum (Pt/C) was the most popular used in cathode catalyst for oxygen reduction reaction (ORR).
Furthermore, be worth what carry was, the surface areas of the four powders were similar, which meant that surface area should be not the key factor of catalytic activity (data not shown).
Three kinds of carbon powders with different grain sizes were chosen to prepare nitrogen-doped carbon powder (NDCP) as a low-cost catalyst for oxygen reduction in MFCs.
The electrons and protons are combined with certain oxidants, forming reduction products on the cathode.
Carbon-supported platinum (Pt/C) was the most popular used in cathode catalyst for oxygen reduction reaction (ORR).
Furthermore, be worth what carry was, the surface areas of the four powders were similar, which meant that surface area should be not the key factor of catalytic activity (data not shown).