Search results

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.

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.

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.

Because of its hierarchical data structure, multilevel data are often analyzed using Linear Mixed-Effects (LME) models.
Only 316 data points were used for the PSI prediction since some data having predicted PSI values less than zero were excluded.
The combined dataset consists of 1546 data points.
The data collected from longitudinal study is a collection of correlated data.
Model Reduction.

It is used for delivery of data to support assessment of losses, and in evaluation as well as formulation of rehabilitation plans.
The sources of the data will include scholarly journals, government documents, and case studies.
Data Collection The data collection for this part will be done through surveys and documents, reports, journal papers and publications about infrastructure development and disaster risk management.
Data Analysis The collected qualitative data shall be analyzed via the thematic analysis approach in order to reveal the key themes and insights concerning infrastructure resilience and DRM.
• Utilization of Geographic Information Systems (GIS) and data analytics is much needed.

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].

Compared with some other methods applied in data parallelism that can parallelize reduction operations on a force-array, our method achieves high performance especially when the simulation system is characterized by irregular geometry or by inhomogeneous atom densities.
Newton’s third law brings loop-carried data dependences in the force-computing loop.
Some strategies can be used to remove possible data dependence on force-array of MD simulations, which can be applied in data parallelism [6-7].
But too many blocks incur worse data locality.
The kind of data structure simplifies the communication between producer and consumer.

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.

This article from the biodegradation, microbial sulfate reduction, thermal decompositionchemistry, chemical sulfate reduction and magmatic 5 aspects to analyze the formation mechanism of hydrogen sulfide gas in coal mine, a coal mine combined with field data, analysis of hydrogen sulfide gas in the coal mining the transport mechanisms.
Our most serious, the data show that China's high-sulfur coal accounted for 36.6%, while hydrogen sulfide influx Face coal mining, to cause serious harm to human health[5]-[6].
Thermo-chemically decomposed and thermochemical sulfate reduction of organic sulfur.
The Huaying Mountain geological data show that the higher the content of the mining area of soluble carbonates, and a large area exposed, showing the direction of NNS distribution region, in particular the Department of Yang Miocene limestone stack thickness, quality of pure, karst development, the formation of many caves, dissolved bucket, sinkholes, ground temperature of the heat demand less than a chemical reaction.
Microbial sulfate reduction.

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.