Search results

The experimental data show that: The yield ratio of the Q460C was found to increase with the elongation at break A and the reduction of area Z decreasing while the plasticity and toughness decrease as the testing temperature drops.
The Comparison of Strength Index of Experimental Data with Parameter Fitting.
But it is great deviated from fitting data below -20°C.
The experimental data is as following fig.8.
(2) In comparison with the data of fitting formula, the experimental data is more adverse to the application of Q460C steel.

China asuucc_rium@163.com, bscuzy@163.com, cwfu2005@163.com, dzjzscu@sina.com Keywords: Lithium-ion battery, LiFePO4/C, cathode materials, carbon thermal reduction, short-time sintering Abstract: LiFePO4/C were successfully synthesized by carbon thermal reduction method at sintering temperature of 650 °C for 12h, using Li2CO3, FePO4 and three organic carbon sources (citric acid, glucose and ascorbic acid) as starting materials.
There are several possible means to enhance its electronic performance including reduction of the particle size [4], carbon or metal coating [5-6] and doping with super valence cations [7].
Recently Carbon Thermal Reduction (CRT) method has been became a general approach to product LiFePO4/C [8-9].
LiFePO4/C composite was synthesized by carbon thermal reduction method using FePO4 (99.0%), Li2CO3 (99.0%) as starting materials.
Crystal lattice parameters of the three samples were shown in table 1, which were very close to the standard data (a = 0.6019 nm, b = 1.0347 nm, c = 0.4704 nm).

Once the calibration is done, the prediction data can be corrected by
However, the process of the prediction data is according to the structure of the regression data.
(2) Data Preprocessing.
Data preprocessing includes both data cleaning and data standardization.
The model is built through the history process data.

It shows the presence of single trigonal phase, FeTiO3, space group #148, with lattice periods a = 5.0816 Å, c = 14.051 Å corresponding well to literature data [10].
Numerous data on hydrogen sorption performances of AB2-type hydrogen storage materials (A = Ti, Zr; B = Cr, Mn, Fe, Ni, Cu, V) were published since late 1970s.
The reference data were fitted using the simplest linear regression according to the formula: 3.1 Seven independent fitting variables X1…X7 are listed in Table 1.
Figure 5: Relations between experimental (calculated using Van’t Hoff equation from the reference ΔH and ΔS data) and calculated (eqn. 3.1) values of equilibrium hydrogen pressures for AB2-type intermetallic hydrides at various temperatures The values of equilibrium hydrogen pressures for AB2-type intermetallic hydrides at various temperatures calculated from the reference thermodynamic data show very good correlation with the corresponding values calculated from the alloy’s compositions using Eq. 3.1 (Figure 5).
Geological Survey Data Series 140, available online at http://pubs.usgs.gov/ds/2005/140/

A significant reduction of the data exchanging between the server and the browser brings a faster response speed.
Ajax data processing is shown in Figure 3.
XML data encapsulation method is used in this paper to improve the Web data processing capabilities, and the DOC object used achieves dynamic display of the content on a page.
Research of Not Refurbishing and Updating Data Method in AJAX Web Application.
Data exchange applied research on AJAX[J].

Next, taking the achievements of students who are in the first semester of the freshman year (data of four-term students with the same course types and numbers; the corresponding relation of course and credit is shown in Table 1) and studying in mathematics major of Beijing University of Science and Technology (USTB) as an example, the simulation is carried out with the above method.
Taking the achievements of students in first semester of the freshman year and USTB mathematics major as an example, this paper evaluates the mean vector and covariance matrix of  multi-dimensional normal distribution with historical data (see Table 2 and 3).
Finally, the total credits achieved by students, the distribution law and cumulative distribution law, and the deviation with actual data can be worked out, as shown in Table 6, Fig. 2 andFig. 3 are the comparison of two distribution law curves and two cumulative distribution law curves.
Therefore, this paper adopts control variable method, which has higher efficiency in variance reduction techniques, to conduct variance reduction so as to reduce the random fluctuation.
The credit value found by several groups of simulation has relatively big fluctuation, for which variance reduction can be carried out through adopting the variable control method in variance reduction techniques.

A Novel Method to Compress Real-time Process Data Xiaojian Zheng Faculty of Software, Fujian Normal University, Fuzhou 350007, China zxiaojian@126.com Keywords: stream data mining, process data, data compression.
Introduction The amount of process data is growing with an astonishing speed and is challenging efficient management of data.
To avoid mixing exceptions with regular, we introduce a coarse exception manipulation rule as follows:If Xi is an exception then it is changed into another form @Xi@ 2.3 Postprocessing 2.3.1 Normalization rule For further data reduction, we do some post-processing.
Conclusion Process data compression is an actual and challenging task in sensor data stream mining.
Data Compression Conference 1995: 92-101

These days, the rough set is usually used to deal with mass decision-making data.
It can make attribute reduction for large numbers of data to find the foundation.
If B is an attribute reduction set, then.
Experiments and discussion The data sheet in literature [4] is a table for fault decision-making for a certain weapon system.
There are about six decision-making reduction sets. .

The chosen of heating scheme is affected by the index of energy-saving and emission-reduction.
The data of Scheme 1 is shown in Table 1.
The thermal system of Scheme 2 is shown in Fig.2 and the data of Scheme 2 is shown in Table 2.
The data of Scheme 3 is shown in Table 3.
Conclusions In this thesis the energy-saving and emission-reduction of the heating schemes for the urban area are compared.

The solid state reduction of hematite to Fe3O4 and FeO has been observed after 120 hours of MA by a planetary ball mill.
In this way, we can point out what is the uniqueness in the solid state reduction by MA in the Fe2O3-C system.
Furthermore, it should be noticed that the magnetite is already produced after 20 h of milling as is clear from the saturation magnetization, which is invisible by X-ray diffraction data shown in Fig. 3.
Hence, it turns out that the magnetic data can supply a better understanding of the amount of magnetite phase produced by ball milling.
Conclusions The present work evidently shows that a solid state reduction is occurred by MA using a high energy mill in Fe2O3-C system, despite the fact that the chemical reduction of Fe2O3 to Fe3O4 and FeO by graphite is characterized by a positive reaction heat.