Search results

Introduction In rough set theory, knowledge reduction is one of important research contents, through the knowledge reduction simplify the processing of large amounts of data information, in order to rapid get useful knowledge.
Value reduction is a very important aspect of knowledge reduction.
Currently, people have done much work, proposed a lot of reduction algorithm.
Based on this, attribute union method is used in this paper to obtain attribute value reduction.
Attribute Value Reduction Algorithm Design of Attribute Union.

The critical path is not only affected by the program data dependence but also by the influence of the number of available functional units, and memory access latency caused by the cache misses.
For the sake of this example, we only consider the impact of the data dependence for the critical path.
Assembly code fragment and its data dependence graph (DDG) are shown in Figure 2.
This compiler analysis is based on the method to find a program’s critical path taking data dependences and resources into consideration.
This reduction increases the opportunities for power reduction.

The data of IR and UV-vis show that the frameworks of clusters are not changed remarkably during the reaction.
Scheme 2 The reduction of amides catalyzed by 1 and 2.
Table 2 IR spectra data of cluster 1, 2 and used catalysts.
IR data of fresh cat.
νC-O(cm-1) IR data of used cat.

According to the penetration test and lots of soil moisture data, the water reduction ability of terrace and slope land were analyzed, which can provide decision evidence.
The ability of the water reduction between terrace and slope land were analyzed through the test data, which can provide basis to the runoff simulation under different underlying condition and planning of soil and water conservation works.
Data analysis Penetration ability analysis.
Water reduction ability analysis.
So, the water reduction ability of terrace is higher than slope land under the same condition.

Century Perspective on Molybdenum Powder Production by Hydrogen Reduction G.P.
Consequently, it has been found cogent to "partition" second-stage reduction into: i) a relatively high-rate Primary Reduction Sequence, and ii) a lower rate Deoxidation Sequence. 1.
The most current thermodynamic data available on the molybdenum-hydroxide vaporcomplex were employed for these computations [9].
Turner: Mechanism of Reduction of MoO3 to MoO2 Reconciled?
[10] Scott, G.: On the Reduction Sequence of Molybdenum Powder Production during Second- Stage Reduction, Master of Science Thesis, Colorado School of Mines, (2006)

Rough set theory (RST) as a new data mining method, can deal with uncertainty and incompleteness in data analysis.
Production Process Data Acquisition Database Data Cleaning Model Development Data Analysis Output Generation Domain model Query Tools Statistics & AI tools Visualization Tools Goal of KDD Keys: Data Flow Process Flow Tools Usage Fig1.
It integrates learning-from-example techniques, extracts rules from a data set of interest, and discovers data regularities.
The rule acquisition is made up of four components (enveloped by broke line), namely, data inspection, data discretization, attribution reduction and rule composing, those are basic steps within mining control rule process.
Data inspection During this initial step, the first inspection of the data is performed.

At a certain position of the circular disturbance body provide value pressure drop reduction on narrow channels and drag reduction when compared to a single circular cylinder.
From the experimental data presented in this paper it is observed that the position angle of circular disturbance body to reduce drag force on a circular cylinder and reducing the pressure drop in the channel are at angle 200 and 300 for D=25 mm, and 200, 300 and 400, respectively, for D= 37.5 mm then the best reduction for both cylinders are at an angle of 300.
Then be validated using the pressure transducer Omega PX-655 and data acquisition DAQPRO Omega-5300.
Then at α=200 minor head loss value reduction occurs at Reynolds number variation of 11.6×104 to 15.6×104.
In the experiment of single cylinder and its configuration, the value of the pressure coefficient distributions obtained from pressure measurements at two pressure taps were placed on the contour angle 00 and 1800 mid-span section of a circular cylinder with a collection of data every change of rotation angle of 50.

With combination of obtained lattice constants and oxygen nonstoichiometry data, the effect of oxide ion vacancy on crystal lattice and their thermodynamic behavior have been deduced.
With combination of reduction expansion behavior and oxygen nonstoichiometry data estimated by thermogravimetry [7-9], the effect of oxide ion vacancy on crystal lattice was clarified and thermodynamic behavior of oxide ion vacancies was deduced.
[CuK α ]） X-ray Intensity Raw data 220 peak 208 peak Curve fitting 67 68 69 70 2θ (deg.
For the quantitative analysis of effect of δ on reduction expansion, dependence of lattice constants for hexagonal description and molar volume on δ was calculated by combining data of Figures 4~7 and oxygen nonstoichiometry data reported by Onuma and coworkers [11].
Yashiro (Research Institute of Scientific Measurements, Tohoku University) for supply of oxygen nonstoichiometry data and fruitful discussion.

The generation concept, camouflage measure theorem and reduction theorem of F- information camouflage are given, and next the reduction-identification criterion and identification method of F-information camouflage.
Using the above theory results, the application of the identification-reduction of F-information camouflage.
Identification-reduction theorem of F-information camouflage Definition 6 Call be the identification-reduction of F-information camouflage .
[3] Li Zhang, Yuquan Cui, Kaiquan Shi, Outer P-sets and data internal-recovery[J].
System Engineering and Electronics, 2010, 32(6): 1233-1238(in Chinese) [4] Yuying Li, Li Zhang, Kaiquan Shi, Generation and recovery of compressed data and redundant data[J].

The direct reduction in carbon-based pellets has been studied extensively[2].
However, the model research on thermal processes in RHF for direct reduction is still to be further developed[4].
The carbon monoxide is the main product of the direct reduction by carbon due to the gasification of carbon.
The boundary condition is calculated according to design parameter, experimental data and field data.
LU: Mathematical Modeling of the Kinetics of Carbothermic Reduction of Iron Oxides in Ore-Coal Composite Pellets.