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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.

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.”

Data Resource of Prevention Rule integrated analysis is proposed which using the two data sources from the civil aviation flight terms and the questionnaire from resourceful pilots.
The Obtain of Experimental Evaluation Data Provided by Experience Pilots.
There was untruthful data from the questionnaire from resourceful pilots because some pilots’ carelessness owing to their hard work, so it is important to clean those false data, noise data, redundancy data and incomplete data.
At last, it is to keep the data integrated, facility and timeliness, to repair those data according to statistic method for those two kinds of properties values [5].
Grzymala-Busse: Rough Set Theory with Applications to Data Mining

Data acquisition is the key step for data warehouse.
Rhombus-dimension-reduction technology is adopted to decompose the dimensions in multi-dimension data storage so as to raise the computer answer speed of the search analysis, as shown in Fig. 3.
Data access tool includes query and reporting, OLAP, data mining etc.
Data mining subsystem organizes and executes the data mining task in the object-oriented form and its data sources are obtained from the data warehouse.
Metadata are data about data that describe the content, quality, condition, and other characteristics of data.

The study uses field data, existing data on RETScreen software and analytical methods to examine the energy consumption patterns of key household appliances and their impact on renewable energy system design, cost, and emissions reduction.
Data Collection Data collection methods were implemented according to the research design.
ΣX = the sum of the x-values in the data set.
ΣY = the sum of the y-values in the data set.
The data aligns with findings from the U.S.

Training data can be used.
Data processing in the field of data mining is very large.
Scalability of the data is possible as dimensionality reduction is taken into the account.
Dimensionality reduction with PCA for heterogeneous data sites to some extent reduces the communication of transmission of data across all the global sites.
[4] Hairong Qi,Tsei-Wei Wang,J.Douglas Birdwell, “Global Principal Component Analysis for Dimensionality Reduction in distributed data mining”

The interaction of temperature and the amount of Na2CO3 have negative influences on the degree of reduction and metallization.
Introduction In the direct reduction of iron oxide mixed pellet, it was found [1-4] that the minor amount of alkali metal, e.g.
It is generally agreed [8-12] that the reduction of iron oxides by carbon occurs through the gaseous intermediates CO and CO2.
In the experiment, it is found that Na2CO3 as addictive into VTMCN pellet will improve the reduction degree and metallization.
[6] Li Yun Yan and Hu Chuan Rong: Test design and data processing (Beijing Chemic Industry Press Publications, China 2005

In addition, good fits to the experimental data were found using the proposed residual strength model, with the maximum difference of less than 6%.
Comparing the remote tensile strength at each moisture content, it is observed that a reduction in the area of 20% (notched specimens) has led to strength reduction of maximum 51%.
After prolonged ageing, a maximum of 17% strength reduction was observed.
In addition, good fits with maximum difference of less than 6% were obtained by using the proposed residual strength model to fit the experimental remote tensile strength data.
This model has the advantage of reducing the amount of experimental works and more data is needed to further validate the applicability of this model to other materials.

This paper presents the design of torsional adaptive tunable vibration absorber (ATVA) using magnetorheological elastomers (MREs) for vibration reduction of powertrain systems.
This device is connected to the National Instrument module to transfer data to the computer.
In which the data acquisition is performed using Labview software version 8.6.
The obtained Young’s modulus data are shown in Fig. 2.
Measured Young’s modulus data By measuring the decay vibration of the weight is measure.

The semi-active vibration reduction system tested was compared to a passive system.
Introduction Smart materials are being used increasingly in vibration reduction systems.
The vibration reduction system designed was compared to a passive system.
Analysing Fig. 3, it can be concluded that the choice of weight ρ significantly affects the vibration reduction properties of the vibration reduction system.
Kowal: Full active vehicle suspension – experimental data, Proceedings, ACTIVE, Canada (2009)