Search:

  • Data Reduction

Search Options

Sort by:

Publication Type:

Open access:

Publication Date:

Periodicals:

Search results

Online since: January 2013
Authors: Chia Jui Chiang, Yong Yuan Ku, Chih Chieh Chen, Chih Cheng Chou
Average NOx reduction rates of 78.5% and 60% are achieved for the ESC and ETC tests respectively.
To achieve this, a minimal NOx reduction rate of 50% is necessary.
Experimental data from 32 runs of European Stationary Cycle (ESC) and European Transient Cycle (ETC) demonstrate the reliability of the rule-based SCR control strategy.
Average NOx reduction rates of78.5% and 60 % are achieved for the ESC and ETC tests respectively.
Marti., “NOx-reduction in diesel exhaust gas with urea and selective catalitic reduction,” Comb.
Online since: November 2010
Authors: Lian Qing Chen, Li Guo Gao, Kun Wang
Colligating the dimensionality reduction gray moment operator and the least square circle, the sub-pixel location of the inner circle centre was realized and the sub-pixel location precision was improved by applying the 3s iteration algorithm.
By the experimental data we can see the running time by the method of determining-circle-with-three-points is reduced two orders of magnitude compared with Hough transform.
Define an operator, when the operator is applied to the actual data, it will produce an ideal edge, the third-order gray moment of the two sequences of edge pixels is equal.
It shows that the dispersion of measurement data is smallest and higher precision.
The experimental data showed that the running time is greatly reduced, and it could provide the primary data for the sub-pixel location.
Online since: November 2012
Authors: Long Chang Hsieh, Tzu Hsia Chen
Hence, the reduction ratio of gear reducer is required to be higher and higher.
This paper proposes planetary simple gear reducers with high reduction ratio.
According to equation (5), the reduction ratio Rr is 126.67.
Table 1 show the gear data of planetary simple gear reducer shown in Fig. 2(b).
Gear data of planetary simple gear reducer shown in Fig. 2(b) Sun gear 2 Planet gear 3 Ring gear 4 Ring gear 5 Teeth No. 36 21 78 80 Normal Module (mm) 1.0 1.0 1.0 1.0 Shift coefficient (mm) 0.16 0 0.46 -0.48 Pitch Dia.
Online since: October 2014
Authors: Hong Fei Sun, Wei Hou
Study on the Improvement of TFIDF Algorithm in Data Mining Hongfei Sun, Wei Hou School of Economics and Management Northeast Dianli University, Jilin, China sunny_bird@126.com Keywords: Improvement of Algorithm; Improved TFIDF Algorithm; Data Mining Abstract.
In order to remedy the defects of traditional methods in the data mining, improving the data mining effect.
The paper proved that the improved TFIDF algorithm is better than other traditional methods more scientific, more advantages and practical value based on four data mining results are compared and evaluated.
However, it's a very difficult thing that search potential cooperator in the multitude of data who have the similar research contents.
With the rapid development of computer technology and the technology of data mining in recent years, it provides the possibility for researchers to search potential cooperator.
Online since: March 2015
Authors: Zhi Jia Huang, Xue Hang Jiang, Huan Huan Sun
Under the guidance of GHG Protocol standards for carbon emissions, the carbon dioxide accounting models on the process as a whole boundary are established, in which, the carbon emissions inventory is divided into three levels and the input data consists of CO2 emission coefficient and activity factor level data.
It can be seen that the model results are directly dependent on the data source and its quality, with activity factor level data provided by companies, and the CO2 emission coefficient obtained by measuring, upstream enterprises and the related database access provided.
But the process model does require this data, so the process model is more complicated than the enterprise model.
There is no quantitative analysis of these data in this article, but which will be analyzed and discussed in the later work
CO2 Emissions Data Collection User Guide, Version 6.
Online since: July 2012
Authors: Zhi Hang Chen, Chao Ping Cen, Zhi Xiong Tang, Huan Mu Zeng, Ping Fang, Ding Sheng Chen
Selective catalytic reduction of NOx on VCuMn/TiO2 at Middle-low temperature CHEN Zhihang1,2 , TANG Zhixiong1,2, Cen Chaoping1,2 a, ZENG Huanmu1,2, CHEN Dingsheng1,2, FANG Ping1,2 (1.
The activity datas showed that 2V2Cu8Mn/TiO2 exhibited better activity.
Intensity data were collected over a 2θ range of 5°-85°.
The XRD phases were identified by comparison with the reference data from International Center for Diffraction Data (ICDD) files.
With increasing of Cu content and reduction of Mn content, the XRD peak of the CuO phase increased and the peak of Mn2O3 decreased.
Online since: August 2013
Authors: Li Ying Xie, Jun Xun Yin, Jin Xin Ruan
Furthermore, the static image-based methods deal with relatively less data, and they can achieve faster recognition speed and meet the real-time demand.
However, the Gabor features are usually high-dimensional and the dimension reduction should be done.
Feature Dimension Reduction.
So DWT can effectively realize dimension reduction.
Thus, the further reduction of feature dimension is obtained by DCT.
Online since: December 2010
Authors: Shu Fen Chen, He Wang, Xue Li
By processing attribute reduction from data sample utilizing rough set theory, defects like bulkiness of neural network structure and difficult convergence etc are aovided when input dimensions is high.
Rule Reduction.
After determining the network structure, we should train it with error back propagation algorithm utilizing sample data shown in table 3.
Some sample data is shown in table 3.
Summary (1) Utilizing roughness set theory to conduct attribute reduction and rule reduction from data sample, which leads to reduction of network rule number resulting in simplify network structure and decrease learning time
Online since: September 2016
Authors: D. Mallikarjuna Reddy, Cherukuri Bhargav Sai
The nodal displacement data of damaged rotor is processed to obtain wavelet coefficients to detect, localise and quantify damage severity.
Because the wavelet coefficients are calculated with various scaled indices, local disturbances in the mode shape data can be found out in the finer scales that are positioned at local disturbances.
In the present work the displacement data are extracted from the MATLAB model at a particular speed.
Wen and Ying [7] proposed a method used for identifying structural damage by wavelet analysis using strain energy mode shape data.
By using mode shape data, damage can be identified if the reduction in diameter is less than 40%.
Online since: February 2021
Authors: Arshad Wazir, Imran Waseem Kundi, Wahib Noor Khan, Abdul Manan, Imdadullah Querashi, Khurram Yaqoob
The reduction of MI-RGO was supported by the UV and XRD studies.
Ruoff, Microwave assisted exfoliation and reduction of graphite oxide for ultracapacitors, Carbon 48 (2010) 2118-2122
Tascon, Vitamin C Is an Ideal Substitute for Hydrazine in the Reduction of Graphene Oxide Suspensions, The J.
Dai, Solvothermal Reduction of Chemically Exfoliated Graphene Sheets, J.
Yaminsky, Statistical analysis of atomic force microscopy and Raman spectroscopy data for estimation of graphene layer numbers, Phys.
Showing 1221 to 1230 of 40196 items