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Measured data verifies the feasibility of this method, which provides useful references for engineering application and lays foundation for further noise reduction and muzzle velocity extrapolation.
So that, through the high-speed triggering technology accomplished by high speed triggering radar, the measurement system record the time when the projectile just leave the muzzle and consider it as zero time of data extrapolation.
Finally, the muzzle velocity of projectile is obtained by data extrapolation.
Measured data analysis According to the above method, this article analyzes an echo signal of high firing rate artillery projectile.
Through the theory analysis and measured data validation, it proves the feasibility of the proposed method and provides useful reference for engineering practice.

In this algorithm, original high-dimension data is reduced by Sectional Least Squares method, and after reduction dimension, it is transferred into precision data as network input.
Case Experiment and Intermediate Data.
All of the above data are listed in Table 1 in detail.
Then a second Elman neural network is constructed , data of which from result of PCA analysis against samples and the input data of which from PCA reduction high-dimension, and forecast data listed in Table 2.At last, these instance samples are operated on SLS characteristic compression and reduction high-dimension, and they are transferred to new samples, from which the third Elman neural network is designed and predicts testing instances, result statistics presented in Table 2.
It is found that where there is an intensive relativity of inner elements in the set of characteristic variables, and reduction high-dimension of characteristic variables is effective on both decreasing data redundancy and eliminating temperance of repetitive-correlative data.

Strength reduction method.
Strength reduction method Zienkiewicz in 1975 put forward the strength reduction method [7], the safety factor of slope stability was defined as the slope just reached the critical failure, the reduction degree of slope soil shear strength parameters.
(1) Strength reduction method assumes that the reduction coefficient of the whole slope soil has the same value, and the reduction coefficient is the slope stability safety coefficient when the slope reached critical.
Because the slope morphology cannot be described as specific data, its sensitivity cannot be calculated through the derivation.
Non-linear shear strength reduction technique in slope stability calculation.

Bioreactor set-up and experimental design for sulfate reduction.
Integration of the metal biosorption process and the sulfate reduction process.
To treat an acid mine drainage, it was necessary to remove toxic metals, which have an inhibitory effect on this microbial consortium (data not shown).
Subsequently, the sulfate reduction process was carried out.
However, in the reactor effluent a significant reduction in the sulfate concentration is observed (Fig. 2).

To simplify this process and significantly reduce the required expense, an integrated parameter and data management concept is proposed.
Furthermore, the data exchange between products, machines, and a higher level controller can reduce the relative costs of information.
Manually added data, which is already available during the commissioning process (e. g. design parameters and data sheet information) and further user input data that is commanded prior to or during operation.
(e. g. from data sheets) and generate parameter information of type 3.
Large amounts of process data from the field layer (e. g. from existing sensors in the servo drives) become available for superordinate analysis using Big Data, Data Mining and pattern recognition methods.

Colligating the dimensionality reduction gray moment operator and the least square circle, the sub-pixel location of the inner circle centre was realized and the sub-pixel location precision was improved by applying the 3s iteration algorithm.
By the experimental data we can see the running time by the method of determining-circle-with-three-points is reduced two orders of magnitude compared with Hough transform.
Define an operator, when the operator is applied to the actual data, it will produce an ideal edge, the third-order gray moment of the two sequences of edge pixels is equal.
It shows that the dispersion of measurement data is smallest and higher precision.
The experimental data showed that the running time is greatly reduced, and it could provide the primary data for the sub-pixel location.

Introduction Although technical papers dealing with the properties of concrete subjected to high temperatures are abundant, there are much difference among the data in the literature, on the residual strengths of concrete after sustained elevated temperature exposure, depending on concrete materials, mixture proportion, age and term of exposure, water evaporation, besides the exposure temperatures.
Some data indicated significant reduction in compressive strength after exposure at temperatures of 50℃ to 80℃, although most data indicated no reduction up to 100℃.
The test data shown in Figure.2 in indicated 15 to 25 % reduction in compressive strength when heated at 50℃, with smaller reductions when heated at higher temperatures up to 110℃, and 40 to 45％ reduction in compressive strengths upon exposure.
The tensile strength after exposure expressed by the percentages of those of unheated concrete at the age of 91-days, shown in Figure.2 (b), indicated 10 to 45 % reductions after exposure at 50℃, 15 to 40% reduction at 80℃, with smaller reduction at 110℃ and 25 to 50% reduction at 300 ℃.
Although the data shown in Figure.3 are limited, it is clear that the minimal compressive strength after exposure at 50℃, were associated with the intermediate weight losses of 2.5 to 3.5 % in this experiment due to evaporation of free water.

When Error Detection Schemes were used, there is a reduction in the number of cloud distributed storage systems.
Data owners can use the cloud data center as if it is available local, without having to worry about its integrity.
If any failures occur in the data center, we can recover the data from the compensation of neighboring data centers.
As a result, cloud data center requires encrypted data for the protection from unauthorized users.
While decrypting the data, users can utilize the key after getting the permission from the owner of the data. 3.

This cycle time reduction helps increase the productivity of the washing process by 42.9%.
This cost reduction results from the reduction of the proportion of defectives from 12.8% to 1.78%.
This defective reduction decreases the rework cost of $16,800 per year.
Rojanarowan, “Investigation of Ultrasonic Washing System on Reduction of Oil Contamination on Machining Parts,” in 2009 Proc.
Cepeda C., “Application of Generalized Linear Model to Data Analysis in Drinking Water Treatment.”

By processing attribute reduction from data sample utilizing rough set theory, defects like bulkiness of neural network structure and difficult convergence etc are aovided when input dimensions is high.
Rule Reduction.
After determining the network structure, we should train it with error back propagation algorithm utilizing sample data shown in table 3.
Some sample data is shown in table 3.
Summary (1) Utilizing roughness set theory to conduct attribute reduction and rule reduction from data sample, which leads to reduction of network rule number resulting in simplify network structure and decrease learning time