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This aspect of generating funds is dependent on two major factors i.e. reduction in product manufacturing cost, and enhancing the product quality to satisfy the customer needs.
On the other hand, the product quality can increased through application of systematic and statistical data analysis tool especially Lean, Six Sigma, SCM, JIT, TPM etc. in the manufacturing sector.
Just-in-time (JIT) or "flow", and "autonomation" (smart automation). [3] Toyota Production System defines Lean as a management philosophy used for reduction in three types of waste i.e. a) Muda (Non-value-adding work), b) Muri (Overburden), and c) Mura (unevenness).
The incorrect application of lean tools results in a waste of time and money including the reduction in confidence level of employees of an organization. [11] The organization culture and maintenance were reported as the factor while converting the non lean organization to lean.
LM focuses on cost reduction by identifying and eliminating non-value added activities.

Supporting performance data are presented.
Figure 6: EDX data for wafer edge.
Electrical and defect data were collected for a 12-month period in the fab.
Figure 11 highlights the defectivity reduction and corresponding significant increase in prime die (device) yield.
Furthermore, it enables a significant reduction in the total number of defects observed and a corresponding increase in die yield without loss of device performance.

The recrystallization kinetics equations used here are adaptations of the AJMK (Avrami-Johnson-Mehl-Kolmogorov) equation, with parameters that were selected to fit the mill data.
It is a common practice to apply a large reduction in the first two or three passes.
This large initial reduction breaks the as-cast microstructure.
The large amount of industrial data available at the plants is an endless source of information.
The MFS evolution, Fig. 4, shows five rouguhing passes and seven finishing reductions.

The reduction in nugget strength after PWHT is particularly marked and is due to replacement of fine GP zones formed on post weld natural ageing by coarse overaged precipitates.
Introduction The aerospace industry is constantly demanding weight reductions through materials and process development.
For these experiments the beam was shifted down to give a probe size of 1.3mm x 0.7mm with a camera length of 1m, and data aquisition times in the range of 3 to 7 minutes.
The hardness of the parent condition exhibits a reduction from the TAF condition to the PWHT T7 condition by an average of 10 VHN.
This reduction in hardness is due to the replacement of a fine precipitate distribution within the grains (and probably GP zones) by a coarse particle distribution.

A scanning electron microscopy analysis revealed a reduction in voids as the waste glass content increased from 0% to 10%.
Introduction According to data from CEMPRE (a Brazilian association of private companies committed to recycling), Brazil produces about 980,000 tons of glass packaging per year, using about 45% of recycled raw material in the form of shards.
The reduction of slump in response to increasing waste glass percentage was attributed mainly to the high percentage of fines in the flat glass powder, i.e., 6.74%, and the angular and lamellar geometry of its particles.
However, in Figure 3 (d) – w/c ratio of 0.58 and 0% of glass content – note that the microstructure showed no reduction of void content with the increase of waste glass percentage from 0% to 10% or with the reduction in w/c ratio.
The SEM micrographs show the main phases of Portland cement concrete, the reduction in void content resulting from the increase of waste glass from 0% to 10%, and the increase in voids in response to increasing w/c ratio.

Substrate sample tested on cold-rolled mill of University of Science and Technology Beijing, after the cold rolling thickness is 1mm, the total cold-rolled rolling reduction rate is 66.7%.
Annealed samples with LEICA VMHT30M type Vickers hardness tester for microscopic hardness testing, load force selection 50 gf, loading time is 10s, then, based on data draws hardness-time profile.
Thus, results of microstructure observation and hardness test is consistent, can be determined the reduction rate of 66.7% refractory weathering steel recrystallization temperature is 650˚C.
The reduction rate of 66.7% refractory weathering steel recrystallization temperature is 650˚C, the start recrystallization temperature is about 600˚C, the end recrystallization temperature is about 680˚C
(3) The reduction rate of 66.7% refractory weathering steel at 700˚C recrystallization annealing time is 1h, the plasticity and strength to get a good match with excellent comprehensive mechanical properties.

LiFePO4/C composite cathode material prepared by carbothermal reduction method was coated by metal oxide MnO2, Al2O3, CuO, respectively, by a chemical precipitation method.
But the carbon coating generated from glucose via carbothermal reduction method in our previous study could not form a complete coating network on LiFePO4 particles.
Experimental Carbon coated LiFePO4 composite materials were prepared by carbothermal reduction method.
Table 1 lists the lattice parameters of all the samples, which are very close to the reference data (a=0.6019 nm, b=1.0347 nm, c=0.4704 nm, V=0.2930 nm3).
Conclusions LiFePO4/C composite cathode material prepared by carbothermal reduction method was coated by metal oxide MnO2, Al2O3, CuO, respectively, by a chemical precipitation method.

An Improved Noise Reduction Based on Wavelet Threshold Jianhui XI1, a, Jia CHEN2, b 1,2School of Automation, Shenyang Aerospace University, 37 Daoyi South Street, Shenyang, 110136, China aE-mail: xjhui_01@163.com, bE-mail: chenjia3018@163.com Keywords: Wavelet transform; threshold de-noising; signal-to-noise ratio (SNR); mean square error (MSE).
Wavelet Threshold De-noising The main idea of noise reduction based on the wavelet transform is that the energy of signal mainly concentrates on some special wavelet coefficients while the energy of noise will be distributed in the whole coefficient domain.
The wavelet transform has a strong correlation to the data, it enables the signal energy concentrate on a number of large wavelet coefficients in the wavelet domain; and the noise energy is distributed in the whole wavelet domain.

The data suggest that three quarters of human femoral failure can be predicted in vivo, i.e. using QCT scan.
Combined with information on the loads associated with the activities of daily living, these data may be used to prevent pathologic fractures of patients who had prior surgery of removing tumors on proximal femurs.
Then the relative reductions in bending rigidity of each femur were calculated by comparing rigidity values before and after creating defects.
This yield stress at tensile side (right side of femoral neck in Fig. 1) of a femur was considered a measured fracture load. 1 DICOM is a type of medical imaging file which contains both a header (which stores information about the patient's name, type of scan, the image dimensions, etc), as well as all of the image data.
Further study could be performed by inducing out-of-plane (sagittal) force and moment in the experimental apparatus as well as higher capacity load-cell which allows a wider range of data acquisition.

The algorithm of formation is also given in the method, with which, the number of discernibility matrix element is decreased, the space of data is saved and the speed of data mining is increased.
If the data table is used to store, the number of this data table record is R.
Table3 The two algorithm algorithm Time-consuming Data sets Reference [6]Table1 Iris Balance Mushroom Table2 Number of objects m 35 150 625 3122 100 Number of condition attributes 8 4 4 22 5 Time-consuming of MFMA (s) 0.09 0.53 6.82 2231.215 0.17 Time-consuming of definition methods (s) 0.33 44.2 1535 174716.4* 10.3 5.2 Explanation of experimental data The data in Table 4, Table 1 of Reference [6], Iris, Balance and Mushroom are the reduct data tables, and table 3 is non-reduct data table.
The data with* in the table is the projection data which is proposed in the Reference [7]. 6.
[5] Xiongfei Li,Jun Li.Data Mining and Knowledge Discovery [J].