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Utilize rough sets for reduction of fuzzy control rules and fuzzy control system for real time data processing of drilling capacity, drilling moment and spindle motor current under MATLAB platform.
Meanwhile, rough sets rule can effectively analyze and process large amount of empirical data and discover hidden knowledge as well as reveal the potential law.
Its main idea is to remove redundant data from the original datasheet by reduction method while keeping the classification and decision making capability of the original decision table unchanged and obtain a reduction from which decision law can be extracted.
According to the above data, take another 40 drill bits, divided into four groups with 10 drill bits in each group.
Therefore, utilizing rough sets theory to conduct reduction for fuzzy controller from data sample can decrease fuzzy controller laws significantly and simplify fuzzy controller structure.

The data come from SQL Server 2000 and create the structure of data warehouse.
Building the Data Warehouse.
Data Warehousing: Bringing It All Together.
Data warehousing fundamentals, 2nd Edition.
Current Practices in Data Warehousing.

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).

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.

NO reduction is up to 50%.
It mainly consists of five parts, that is, the coal pulverizing system, the combustion system, the data acquisition and control system, the compressed air cooling system and the online flue gas sampling analysis system.
The data collection and controlling system is composed of the corresponding software and hardware.
It is used for collecting, recording and processing data.
In the experiment, each experimental cases is conducted six times at the same condition, the data in figure 2 and the following figure is the average data of the six times.

Sulfur Oxidation and Coupled Iron Reduction at Low Temperatures Daniel Kupka1,a, Mark Dopson 2,b and Olli H.
Tuovinen3,c 1 Institute of Geotechnics, Slovak Academy of Sciences, Watsonova 45, 043 53 Košice, Slovakia 2 Department of Molecular Biology, Umeå University, SE-901 87 Umeå, Sweden 3 Department of Microbiology, Ohio State University, 484 West 12th Avenue, Columbus, Ohio 432104 a dankup@saske.sk, bmark.dopson@molbiol.umu.se, c tuovinen.1@osu.edu Keywords: Acidithiobacillus ferrooxidans, psychrotrophic, iron, sulfur, oxidation, reduction jarosite, schwertmannite.
Upon sulfur oxidation, sulfate formation was associated with a decrease in the pH, and the concentration of Fe 3+ decreased because of its concurrent reduction to Fe 2+ in elemental sulfur media.
The data indicated that the Fe 3+/Fe 2+ redox pair could compete with the O2/H2O couple as an alternative acceptor of electrons from the bacterial sulfur oxidation.

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.

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.

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.

In this report, the Zr-MCM-41 catalyst prepared by the grafting method was investigated on the MPV reduction of acetophenone.
The surface areas were evaluated with the BET methods by the N2 adsorption-desorption data at 77 K using BELSORP mini (BEL Japan, Inc.).
Results and discussion The catalytic activity of Zr supported MCM-41 have been evaluated in the liquid phase MPV reduction of acetophenone.
Figure 2 indicates the effect of reaction temperature on MPV reduction over Zr supported MCM-41 catalysts prepared by the grafting and impregnation method.
Fig. 2 Effect of reaction temperature on MPV reduction over Zr supported MCM-41 catallyst: (■) 4.6 wt% Zr-MCM-41-graft and (●) 5 wt% Zr/MCM-41-imp. 20 K Fig. 1 Effect of Zr loading on MPV reduction over Zr supported MCM-41 catallyst: (■) Zr-MCM-41-graft and (●) Zr/MCM-41-imp.