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For other companies lack of data, the missing data are replaced with industry average data after excluding extremely high values and abnormal low values.
(2) Data standardization.
Transform the data into the interval [0, 1].
(3) Data discretization.
Input data matrix is the data after preprocessing.

We believe that for said of the images data, then the three attributes must also are had as following: (1) Sparsity: only less expressed coefficients can be used, and the recovery of the high-quality for the data of the brain MRI images can be obtained
(2) Retention of the characteristics: image features, such as edges, etc., in the representation of the MRI brain image data, which can be preserved
(3) Separability: the ability is had the useful information of the brain MRI image with the noise data to distinguish.
(a) (b), =35.8385 (c), =36.8765 Figure 2(a) is Original image of brain MRI medical of the noisy; Figure 2 (b) is the images of the noise reduction by the redundant DCT dictionary; Figure 2 (b) is the images of the noise reduction by the adaptive dictionary.
The noise images for the global dictionary learning Summarize From the above results, the algorithm of the noise reduction of the adaptive dictionary learning is extremely effective algorithms of the noise reduction.

Analyzing the clock timing of the ILX511, which is a reduction-type linear image sensor, the CCD driving circuit, analog-to-digital conversion(ADC) circuit and data storage circuit were designed.
Fig.1 The system overall diagram Hardware Design The designed circuits are composed of the core chip CPLD, data acquisition based CCD, analog-to-digital conversion and data storage.
Data Storage Module.
The data storage circuit is shown as Fig.4.
Fig. 6 The driving timing Summary Based on the analysis of the ILX511 clock timing, using the ILX511 to capture spectrum, the AD9220 to convert analog to digital and the IDT7283 to store data, the spectral data acquisition, conversion and storage circuit were designed.

In addition to local texture, statistical distributions of misorientations across grain boundaries and of Σ grain boundaries have been derived from the individual grain orientation data.
The ODF has been calculated, both from ACOM and XRD data, using the series expansion method with Lmax = 22.
After reverse rolling to 62% reduction.
The corresponding crystal orientation maps are shown on the right side. 313 314 Fig. 4 Statistical distributions of Σ grain boundaries calculated from ACOM data for reverse and cross rolled copper samples with an initial grain size of 100 µm (left) and 60 µm (right).
In addition to crystal orientation maps of the grain-specific microstructure and local texture (ODF), the misorientation data across grain boundaries are also available from ACOM.

This paper presents a model reduction technique of a 3-D pipe system with flowing liquid.
Different methods of model order reduction can be applied.
Modal decomposition and reduction is one of them.
Data input window for loading of appropriate partial differential equations and their boundary conditions The second equation for the X-Z plane takes an analogous form.
Hein: Modal reduction and analysis of gyroscopic systems.

Cone data indicate that the incorporation of 1% CdS nano particles leads to a about 20% reduction in the peak heat release rate (PHRR) compared to the pure PS; CdS-NR is more efficient in reducing the PHRR proved by both Cone and MCC results.
Measurements The X-ray diffraction (XRD) data were obtained at room temperature using a Rigaku Miniflex II Desktop X-ray diffractometer equipped with a Cu-Ka source (λ=1.5404Å).
XRD patterns of CdS nano particles, (a) CDS-NH; (b) CDS-NR Flammability Table 1 shows Cone data of PS/CdS nano composites.
Increasing the CdS-HS loading does not bring about a significant reduction in PHRR-Cone; the reductions are 20.2% and 24% at 3% and 5% loading, respectively.
The MCC data (Table 2) show that the peak heat release rate (PHRR-MCC) of the pure PS is reduced by 11%, 16% and 23%, respectively by the addition of 1, 3 and 5 wt% CdS-HS.

The BP neural network sensor data fusion, and can greatly reduce the feature dimension data transmission, data fusion to improve the efficiency of a wireless network.
The schematic model of data fusion algorithm is shown in Fig.2.
BP neural network algorithm uses a single hidden layer of the data collected by wireless sensor networks for data fusion.
After the data fusion algorithm BP neural network applications for each cluster, the neural network models for each cluster, the nodes in the cluster to collect data using the input neurons function to preprocess the data collected and handled well data to the cluster head node.
Eigen value data fusion is much less than the amount of data collected, thereby reducing the amount of data transmitted, reducing power consumption and prolong the life of the wireless sensor network.

The paper proposes a global backlight dimming algorithm for CR enhancement and power reduction.
The BLU dimming will lead to image brightness reduction if the pixel grays are not compensated.
To reflect both the image brightness and CR, 2 data are got from the histogram: H25 and H75, which means the gray level including the 25% and 75% area of the image histogram, respectively.
The data in Table 1 clearly show that the proposed dimming algorithm reach average 34.95% CR improvement and 11.30% power consumption reduction.
Let’s take a deep look at the simulation result data in the table 1.

Meanwhile, the adsorption kinetics follows the pseudo-second-order rate equation and the adsorption isotherm data fits well to the Langmuir isothermal model.
The Langmuir (Eq. 5) and Freundlich (Eq. 6) were used to analysis the isotherm data (Fig. 5).
The adsorption kinetic follows pseudo-second-order and the adsorption isotherm data fits well to the Langmuir isothermal model.
A Study on the Reduction Behaviors of Cr(VI) on Fe3O4/PANI[J].
Application of polyaniline for the reduction of toxic Cr(VI) in water[J].

By using the reduction procedure, various mechanical quantities can be calculated more simply, as compared to the traditional methods.
These quantities represent basic data for the dynamic, vibration and structural analysis of mechanical systems with complex motions, such as various industrial robots [8].
Reduction of a homogeneous elliptical plate to a discrete system of material points In paper [5], two elementary bodies were analyzed: triangle and parallelogram.
Homogeneous elliptical plate Application In order to highlight the benefits of the reduction method proposed above, an application is studied.
Orăşanu, Reduction of the conical and pyramidal bodies to the lower order bodies, The XXth SISOM, Ed.