Search results

Local linear embedding is one of the main algorithms in the manifold learning, which is also a new dimension reduction technique of the nonlinear data.
Fig. 1 Swissroll examples of dimension reduction For the high-dimensioned in a D-dimensioned group Xi∈RD,i=1,…,N, if a nonlinear f:Y→X, Yi∈Rd,i=1,… ,N,d≤D is implied, the main goal of LLE algorithm is to search for a reflecting relation between Xi and Yi, then to realize the dimension reduction and identification of the data, which provides a useful tool for the data analysis.
The data Xi and its neighbor can be represented by the weight coefficient of the neighbor data.
We use the LabVIEW software writing data acquisition procedure to accomplish the data collection.
1.2446 The three states of the AE signal phase space reconstruction, reconstruction of the experience of 12 selected embedding dimension, delay time 1, the reconstructed three sets of data locally linear embedding dimension reduction, After the dimension reduction of data as the feature vectors, and then the tool will be reflected in three different states of the feature vector into the support vector machine support vector machine training, the training data shown in Table 1.

Generally, pyrolusite can be treated by roast reduction-leaching and direct reductive leaching in acid medium [1].
On the other hand, roasting reduction in N2 is similar with that in the conventional roasters.
After the roasting reduction had been completed, the roasted product was cooled to room temperature in inert gas.
Compared with data in the literature, the roasting temperature of bagasse is much lower than that of coal [1].
These gasses provide a reductive atmosphere which promotes pyrolusite reduction.

Firstly, the test data was discretizated and attribution reduced to get the reduction decision table.
Firstly, the test data is reduced through Rough Sets Theory to get the reduction decision table.
The 9 times test fault data is extracted in Table1, in which the data from the 1st time to the 7th time is diagnosis sample, the 8th time data is the normal sample, the 9th time data is the verified sample.
Through the equipment normal work interval, the above data can discretizated and the original decision table is gotten in Table1.
Then, contrasting it with the 9th test data, we can see they are consistent, so the above method is valid.

According to theories and experiments, this paper presents the relations between the adding flux and reduction of Sr-compounds with the technical parameters.
The results show that composition of flux played important roles in the reduction process.
In the melt-leaching-reduction process, the driving force for Sr reduction reaction are very low at the temperatures normally used. [3] In this paper, a new process that using electrochemical reduction to prepare Mg-Sr alloys have been developed.
Compared with melt-leaching-reduction process, driven by electric energy, the driving force kinetics for Sr reduction in the new process was enforced effectively and higher Sr content in Mg-Sr alloy would be achieved.
H.: The practical thermodynamics data book of inorganic matter.

Relevant data shows that the water environmental capacity of Lake Dianchi has overloaded seriously.
There are two kinds of strategies for ANPS reduction: (a) management strategies; and (b) engineering strategies.
Collect data from literatures, Land Bureau, EPA and other depts.
Conduct statistical analysis of the data and get land use types and areas and pollution coefficients from some departments; Step 3.
Work out the possible strategies of pollution reduction; Step 5.

Introduction The Strength reduction method for slope stability factor calculation is used more and more widely.
Example analyses Basic data
The strength reduction finite element method of three dimensional slopes is adopted to analyze the stress, strain, deformation and stability.
The exact method is simulated by temperature driving strength reduction.
The calculation non-convergence results corresponding reduction factors are shown as Table 3.

Experimental Cycles for CO2 Photocatalytic Reduction.
Briefly, the XPS data were measured by a Thermo VG Scientific-Sigma Probe X-Ray Photoelectron Spectrometer with mono-chromated Al Kα radiation, and the sampling chamber was below 5 × 10−9 Torr.
The XPS survey spectra of the BU and AU samples (data not shown here) indicated that five elements including Ti, Cu, Zn, O, and C on the surface of both BU and AU were obviously detected.
XPS narrow scan of the Ti2p region of the BU (a), and AU sample (b) The Cu2p on the surface of the BU and AU samples were also investigated using the XPS (data not shown here).
Yu, Photocatalytic reduction of CO2 with H2O on Pt-loaded TiO2 catalyst.

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).

In addition, fundamental principles of statistics are applied to analyze the data obtained from the experiment to determine the root cause of product defects [6].
In the first stage, the main problem with the production process acquired using the voice of the customer was identified using data obtained through record data, observation, and interviews with the production control manager, production supervisor, and some employees.
Table. 1 shows the defects from the main process of die and punch production, considering customer complaints and record data from October 2020 – March 2021.
Data related to problems arising in the die and punch production process was collected to analyze and determine the maximum results, mainly using bar graphs.
Chutima: Contactless Chip Module Defect Reduction.

With the development of the society, has formed a mass of confused high-dimensional data, and urge people to obtain effective knowledge ability.
The researchers tried some solutions, such as zhang yan equal [1] of the multidimensional data model based on granular computing method is discussed.
Clustering analysis is a kind of commonly used information granulation method[2], it will be the object of a given data set organically together, form a mutually disjoint partition results.
Results The EEG data used in this paper is the BCI Laboratory of Jiangxi Institute of technology through the EEG acquisition of College students.
The granulating mechanism of complex data and data modeling [D].