Search results

Requirements of data exploration methods are much more simple.
The aim of this work is to compare statistics and data mining methods with sensitivity analysis results and verify if we are able to achieve similar results with significant reduction of number of measurements.
Application of data mining The statistics and data mining procedures were applied to estimate the importance of the parameters of the hot rolling of dual phase steel strips.
Reduction of dataset.
The smaller the data set, the faster will be the calculation.

Laterite Steel Sample Measurement Reduction Initial Thickness (To) Initial Length (Lo) as cast 6 200 30% 8.6 139.54 40% 10 120 50% 12 100 60% 15 80 Result and Discussion According to the test result data, increment of hardness is directly proportional to the number of reduction level.
Initial hardness before rolling process 190.93 BHN, within 30% of reduction was resulting 247.63 BHN, 40% of reduction was resulting 248.33 BHN, 50% reduction was resulting 280.03 BHN, greater number of reduction means more harder material.
However, it decreased at 60% of reduction.
Identifying and fracture morphology of the sample as cast and with variations A0 size reduction; A1; A3; A4 with SEM and EDS instruments capable of analyzing the quantity of data elements that are formed in certain areas Fig. 7.
Based on the discussion obtained optimum reduction in the 50% reduction that is in the sample A3.

As to data trend, data sets grow not only in size but in complexity.
Data Reduction.
The data flow in data analysis pipelines proceeds through several resources, starting from computational nodes that generate original data and produce their output data, through local and shared storage devices, to visualization clusters and accelerators for analysis, and display.
Data compression can thus be a viable solution for reducing data movement and the strain on storage resources [4].
Query-Driven Data Analytics.

Thus, this novel structure not only has good coupling reduction ability, but also can optimize the performances of the antennas.
The antenna with WG-MTM has smaller back radiation result in a better front-to-back ratio due to the mutual coupling reduction effect.
By inserting the WG-MTM inclusions between the antenna patches, a mutual coupling reduction of 9.2dB has been achieved.
Jeffs, “Experimental characterization of the MIMO wireless channel: Data acquisition and analysis,” IEEE Trans.
Zeng, “Ultra-small single-negative electric metamaterials for electromagnetic coupling reduction of microstrip antenna array,” Opt.

China amyrazh@tongji.edu.cn, bzhanggeng77139@126.com Keywords: Hydrated Electrons; Fluorine Chemical Plant; Photo-Reduction Abstract.
In this paper photo-reduction of PFCs in wastewater by hydrated electron was studied and the end-products were discussed as well.
The data shown in Fig. 2 reflected that the amount of fluorine and deflurination rate increased as the irradiation time increased, especially during the initial 4 hours.
Fig. 3 Trends of intermediate products during photo-induced electronic reduction The concentration of acetic and formic acid increased with time (Fig. 3).
Teflon-manufacturing plant can consider using coagulation, then photo-induced reduction as the wastewater treatment process.

It requires the integration of data from different sources, adaptation of advanced data mining techniques, procedures or various diagnostic methods.
In general, the system consists of several modules like: data acquisition, data preprocessing/analysis, decision making, data management, data fusion (Relational Database Management System existing in the company), data visualization and modeling for degradation processes - analysis and prognosis, Fig.1.
In the first step, collected data should be validated.
Advanced data management functions integrated in GIS-class system let to perform on line a complex models of processing data very quickly.
Fig. 3 Structure of the unified spatio-temporal and multivariate data cube .

Modeling of test stand of feed drive system for CNC machine tool by FEM The test stand was composed of ball screw( ball bearing spindle, ball screw nut, fixed bearing, floating bearing) made by Company Boschrexroth according to DIN 69051, Teil 1, shaft coupling and roll rail guide made by company KTR, three-phase current servomotor 1FT made by company Siemens, which has a group of planet gears with ratio 10, showed as following figure. 1, and the technical data is shown by table.1 as following: This construction of test stand has the advantage that the moment of the servo motor can be transferred thought coupling direct into the screw .
Thus, structure preserving model reduction is considered.
The reduction’s effectiveness and reliability depends on the size of.
The comparison of model reduction methods in FEM simulation The model reduction methods, which include Reduced Method, Subspace Method, Block Lanczos Method, etc, are often applied in FEM simulation.
Those model reduction methods are applied for the transmission system for CNC machine as fig.1.

There are a lot of data in the real life showed by the form of multimedia data.
Multi-media data mining process model 3.1 Data Preparation Stage Data selection is to extract relevant data and form the target data from existing database or data warehouse to extract relevant data, the formation of the target data.
Data preprocessing will deal with extracted data to conform to satisfy the requirements of data mining.
The main purpose of data transformation data dimension reduction, or reduction, to find out from the initial feature really useful feature to reduce the data mining features to consider when, or the number of variable [3,4]. 3.2 Data Mining Stage First step is algorithms planning.
Multi-media data mining system prototype framework Multimedia Data Mining Application In The Knowledge Services 5.1 Text Mining Text data is different from the relational data.

Citation & Copyright (to be inserted by the publisher ) Data Processing in Condition Monitoring Intelligent Modeling L.N.
Rough Set (RS) theory that is a data processing tool of depicting incompleteness and uncertainty had been brought forward for developing automation rule generation system based on indiscernibility relation and knowledge reduction method by Pawlak Z [4-5].
Training Sample Data Set Reduction.
Constructing new learning sample set based on minimum condition attribute and original data; 8.
For adopting ANN to train the learning samples, data of failing to report can be dealt with. 3.

Firstly, the fluorapatite pyrolysis to CaO, CaF2, P2O5, Then the P2O5 carbothermal reduction into phosphorus, Jinrong Zhang[11] studies the reduction of carbothermal the process of fluorapatite and propose two mechanisms, one is direct carbothermal reduction of the fluorapatite to P2, CaF2, CaO, CO, the other is Ca3P2 and CaC2 begin to generate, then Ca3P2 and CaC2 reduction of the fluorapatite to phosphorus respectively.
The element content was studied by element analysis instrument. 3 Results and discussion 3.1 Thermodynamic analysis According to the data and formula in ref, the main reactions may occur as follows [13]: Ca5(PO4)3F+15C=3P2(g)+15CO(g)+9CaO+CaF2 (1) 2Ca5(PO4)3F+24C=3Ca3P2+24CO+CaF2 (2) Ca3P2+6C=3CaC2+P2(g) (3) 2Ca5(PO4)3F + 42C = 9 Ca3P2 + 24CO(g) + CaF2 + 3P2(g) (4) In addition, In the carbothermal reduction process of fluorapatite may react: Ca5(PO4)3F + 15CO(g) = 9CaO + CaF2 + 15CO2(g) + 3P2(g) (5) 2Ca5(PO4)3F+5CaC2=3P2(g)+10CO(g)+14CaO
The product of reduction rate listed in Fig.8 as the molar ratio and temperature increase, the reduction rate of P2O5 increase, when the temperature more than 1723K, the reduction rate of P2O5 is about 99%.
Mechanism of reduction of phosphorus ore [J].
Mechanism of reduction of phosphorus ore [D].