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Online since: January 2014
Authors: Zhi Li, Shao Rong Zhang, Ai Jun Zhu
Data processing module provides PWM duty ratio counts for DAC controller.
We use inner ROM of FPGA to build DAC data sheet.
Data processing module is the core part of the whole system.
A difference between maximum data and minimum data is calculated in a group of data at first time.
And if the difference is in normal range, we should compute the mean value of the group of data and get the current output voltage data.
We use inner ROM of FPGA to build DAC data sheet.
Data processing module is the core part of the whole system.
A difference between maximum data and minimum data is calculated in a group of data at first time.
And if the difference is in normal range, we should compute the mean value of the group of data and get the current output voltage data.
Online since: August 2004
Authors: Fanny Balbaud-Célérier, Laure Martinelli, A. Ngomsik, S. Sanchez, A. Terlain, Gerard Picard
The need to determine
physicochemical data in these models is also described.
Second, few and uncertain data, restricted to the 550°C-780°C Fig. 3.
Determination of iron physicochemical data in liquid Pb-Bi.
More data must be gained to confirm these results.
However, data, such as solubilities and diffusion coefficients of metallic species are necessary to use these models.
Second, few and uncertain data, restricted to the 550°C-780°C Fig. 3.
Determination of iron physicochemical data in liquid Pb-Bi.
More data must be gained to confirm these results.
However, data, such as solubilities and diffusion coefficients of metallic species are necessary to use these models.
Online since: March 2022
Authors: Roland Tolulope Loto, Cleophas Akinloto Loto
Table 3 shows the Potentiodynamic polarization data.
This shows APN majorly influenced the O2 reduction and H2 evolution reactions.
The data depict the resilience of APN adsorption interaction mechanism on Al70 in HCl media.
The ∆G data shows there were no adsorption reaction mechanism between APN inhibitor and Al70 exterior as the ∆G data determined is significantly below the value range for physisorption, physiochemical and chemisorption reaction mechanisms hence lateral interaction effect is negligible [23, 24].
Corrosion thermodynamics data for APN adsorption on AL70 Al70 Samples APN Conc.
This shows APN majorly influenced the O2 reduction and H2 evolution reactions.
The data depict the resilience of APN adsorption interaction mechanism on Al70 in HCl media.
The ∆G data shows there were no adsorption reaction mechanism between APN inhibitor and Al70 exterior as the ∆G data determined is significantly below the value range for physisorption, physiochemical and chemisorption reaction mechanisms hence lateral interaction effect is negligible [23, 24].
Corrosion thermodynamics data for APN adsorption on AL70 Al70 Samples APN Conc.
Online since: November 2012
Authors: Bu Yu Wang
As measurement noise will interfere with the test data, test data is get by the theoretical calculations with the addition of random noise: .
Where l is the standard gauss distributing random data, and e is level of random noise.
There are a total of 96 groups training data.
Some training data are presented in Table 3.
And other 100 groups testing data will be used for reviewing the validity of this method.
Where l is the standard gauss distributing random data, and e is level of random noise.
There are a total of 96 groups training data.
Some training data are presented in Table 3.
And other 100 groups testing data will be used for reviewing the validity of this method.
Online since: November 2010
Authors: Hua Zhang, Xu Gang Zhang, Yan Hong Wang
The result can provide data reference to improve environmental-friendly for manufacturing process [3].
(2) Data processing of scatter degree combination evaluation method The evaluation conclusions of types of evaluation methods are regarded as the value of indexes.
Combined with the evaluation system of resource and environmental index in manufacturing process, the input and output data table of valve body production process can be established based on IPO analysis and the data analysis results are listed, as shown in Table 1.
Based on the data above, data envelopment analysis [6], analytic hierarchy process [7] and grey comprehensive evaluation [8] are respectively applied to make an evaluation of resources and environment attribute of the valve body’s manufacturing process.
In the meanwhile, some other methods, such as data envelopment analysis, analytic hierarchy process and grey comprehensive evaluation, are respectively applied to make the evaluation.
(2) Data processing of scatter degree combination evaluation method The evaluation conclusions of types of evaluation methods are regarded as the value of indexes.
Combined with the evaluation system of resource and environmental index in manufacturing process, the input and output data table of valve body production process can be established based on IPO analysis and the data analysis results are listed, as shown in Table 1.
Based on the data above, data envelopment analysis [6], analytic hierarchy process [7] and grey comprehensive evaluation [8] are respectively applied to make an evaluation of resources and environment attribute of the valve body’s manufacturing process.
In the meanwhile, some other methods, such as data envelopment analysis, analytic hierarchy process and grey comprehensive evaluation, are respectively applied to make the evaluation.
Online since: August 2015
Authors: T.P. Singh, Vijaykumar S. Jatti
The average values of TWR for each parameter at levels 1, 2 and 3 for S/N data are plotted in figure 1 and raw data is plotted in figure 2.
Table 3 and 4 shows the pooled ANOVA table for S/N data and raw data respectively.
Table 5 and 6 shows the Taguchi response table for S/N data and raw data respectively.
) Figure 2 Effect of input on TWR (raw data) From figure 1 and 2 it can be seen that to get minimized value of tool wear rate the optimized value of tool electrical conductivity is 26316 S/m, gap current is 8 A and pulse on time is 63 µs.
Table 3 Pooled ANOVA for TWR (S/N data) Table 4 Pooled ANOVA for TWR (raw data) Table 5 Response table for TWR (S/N data) Table 6 Response table for TWR (raw data) Based on optimal set of parameters confirmatory experiments have been performed to validate the obtained results.
Table 3 and 4 shows the pooled ANOVA table for S/N data and raw data respectively.
Table 5 and 6 shows the Taguchi response table for S/N data and raw data respectively.
) Figure 2 Effect of input on TWR (raw data) From figure 1 and 2 it can be seen that to get minimized value of tool wear rate the optimized value of tool electrical conductivity is 26316 S/m, gap current is 8 A and pulse on time is 63 µs.
Table 3 Pooled ANOVA for TWR (S/N data) Table 4 Pooled ANOVA for TWR (raw data) Table 5 Response table for TWR (S/N data) Table 6 Response table for TWR (raw data) Based on optimal set of parameters confirmatory experiments have been performed to validate the obtained results.
Online since: May 2013
Authors: Bu Sheng Li, Jing Fang Hu
Network packet capture is the first step in the process of network forensics, and then the preservation and analysis of captured network data streams in which the network packets are displayed in transmission order and organized to establish connection in the transport layer between two hosts, which is called “Sessionizing”.
The correlation of network flow -removing irrelevant data with filter as capturing network flow in certain circumstances, the integrality of data-demanding data streams continuously monitored rather than retransmitted with extravagant hopes for network forensics tools, the rate of packet capture, the above are the primary factor considered in network forensics and analysis.
Firstly, electronic evidence can be preserved according to the requirement of secrecy of data on the server of Intrusion Tolerant System, which guarantees its legitimacy.
However, this system is imperfect in mechanism of simultaneous collection of host data and network data; in addition, it lacks connection with access control, access authentication, data encryption and some other network security mechanisms.
Removing meaningless and useless characteristic points or noise by the discovery of point characteristics of information behavior contributes to the reduction of information storage volume,the enhancement of veracity of detection,the exaltation of computing speed.
The correlation of network flow -removing irrelevant data with filter as capturing network flow in certain circumstances, the integrality of data-demanding data streams continuously monitored rather than retransmitted with extravagant hopes for network forensics tools, the rate of packet capture, the above are the primary factor considered in network forensics and analysis.
Firstly, electronic evidence can be preserved according to the requirement of secrecy of data on the server of Intrusion Tolerant System, which guarantees its legitimacy.
However, this system is imperfect in mechanism of simultaneous collection of host data and network data; in addition, it lacks connection with access control, access authentication, data encryption and some other network security mechanisms.
Removing meaningless and useless characteristic points or noise by the discovery of point characteristics of information behavior contributes to the reduction of information storage volume,the enhancement of veracity of detection,the exaltation of computing speed.
Online since: December 2014
Authors: Jie Zhang, Zhi Wen Wang, Xiao Qing Luo
Based on 1947-1974 years’ data of U.S., Kraft.J and Kraft.A(1978) use Granger causality test and come to the conclusion that economic growth and energy consumption is in the presence of unidirectional causality; Cheng and Lai(1997) conclude there is only unidirectional causality from GDP to energy consumption through applying Granger test and co-integration analysis based on data of China Taiwan in 1955-1993;Sun Yiqing, Wang Zilong(2011) use co-integration theory and Granger causality test, and get a one-way causal relationship between energy consumption and economic growth in Jiangsu.
We take advantage of the statistical methods of correlation analysis and regression analysis to make supplementary and prediction on the basis of datum.
Data selection.
Therefore, we use GDP and energy consumption data of Liaoning in 2012 to predict and test the regression equation of the model.
Energy consumption and economic growth in Asian economies: a more comprehensive analysis using panel data [J].
We take advantage of the statistical methods of correlation analysis and regression analysis to make supplementary and prediction on the basis of datum.
Data selection.
Therefore, we use GDP and energy consumption data of Liaoning in 2012 to predict and test the regression equation of the model.
Energy consumption and economic growth in Asian economies: a more comprehensive analysis using panel data [J].
Online since: May 2012
Authors: Feng Hua Shi, Xu Feng Li, Xiao Feng Jia, Geng Biao Qiu
Carbon Dioxide Geological Storage: A New Choice to Reduce Carbon Dioxide Emission in China
Xufeng LI1, 2,a, Fenghua Shi3,b , Xiaofeng Jia1 and Gengbiao Qiu1
1 Center for Hydrogeology and Environmental Geology, China Geological Survey, Baoding,
China, 071051
2 School of Water Resources and environment, China University of Geosciences (Beijing), Beijing, China, 100083
3College of Urban and Rural Construction, Agricultural University of Hebei, Baoding,
China, 071051
affslxf@163.com, bshifenghua@hebau.edu.cn,
Keywords: Climate Change; Global Warming; CO2 Emission Reduction; CO2 Geological Storage; China
Abstract.
And the total amount of CO2 emission from the major industrial sources (power plants cement production steelworks refineries ethylene ammonia ethylene oxide and hydrogen) in China is estimated to be 29.6315×108 t with the production data of the above various plants [15].
And the total amount of CO2 emission from the major industrial sources (power plants cement production steelworks refineries ethylene ammonia ethylene oxide and hydrogen) in China is estimated to be 29.6315×108 t with the production data of the above various plants [15].
Online since: June 2010
Authors: De Long Cui, Jing Long Zuo
Data hiding in the frequency domain takes
advantage of the insensitivity of the HAS to small spectral magnitude changes [2-4].
Quantization index modulation is another type of data hiding algorithms that increases the security of the augmented data at the cost of decreased tolerance to attack noise stronger than the watermark modulation.
The rank r of the factorization is usually chosen such that (n+m)rreduction is achieved.
The experiment results show that: On one hand, in this method, the watermark is registered to third-party website and not embedded into the original data, so there will not influence data precision and therefore keep the quality of original data well.
Zero-watermark extraction of local map would be useful for local data authentication.
Quantization index modulation is another type of data hiding algorithms that increases the security of the augmented data at the cost of decreased tolerance to attack noise stronger than the watermark modulation.
The rank r of the factorization is usually chosen such that (n+m)r
The experiment results show that: On one hand, in this method, the watermark is registered to third-party website and not embedded into the original data, so there will not influence data precision and therefore keep the quality of original data well.
Zero-watermark extraction of local map would be useful for local data authentication.