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A Novel Method to Compress Real-time Process Data Xiaojian Zheng Faculty of Software, Fujian Normal University, Fuzhou 350007, China zxiaojian@126.com Keywords: stream data mining, process data, data compression.
Introduction The amount of process data is growing with an astonishing speed and is challenging efficient management of data.
To avoid mixing exceptions with regular, we introduce a coarse exception manipulation rule as follows:If Xi is an exception then it is changed into another form @Xi@ 2.3 Postprocessing 2.3.1 Normalization rule For further data reduction, we do some post-processing.
Conclusion Process data compression is an actual and challenging task in sensor data stream mining.
Data Compression Conference 1995: 92-101

These days, the rough set is usually used to deal with mass decision-making data.
It can make attribute reduction for large numbers of data to find the foundation.
If B is an attribute reduction set, then.
Experiments and discussion The data sheet in literature [4] is a table for fault decision-making for a certain weapon system.
There are about six decision-making reduction sets. .

Reduction in area is a measure to determine formability on cold heading.
Reduction in area is affected by second phases and inclusions.
Tensile strength-reduction in area balance Figure 6(a) and (b) shows the variation of percentage elongation and reduction in area as a function of the volume fraction of cementite.
The test data of conventional ferrite+pearlite steel [12], tempered martensitic steel [12] and bainite steel [13] are also plotted in Fig. 7 for the purpose of comparison.
[12] NIMS data base, Materials Information Technology Station, National Institute for Materials Science, Tsukuba, Japan

The top-down technique bases on size reduction by physical mechanism such as high pressure homogenization, media milling [2] and sonication [3].
To develop the simple process for particle size reduction simple homogenization and melt emulsification technique were investigated and followed by sonication process.
The rheology behavior of all formula was Newtonian flow (data not show).
The zeta potential was -10 to -25 mV which was slightly decreased by sonication process (Data not shown).
The particle size reduction was successful with sonication method.

Data Selection.
Data Pretreatment.
The reprocessing of the data generate in the previous step, check the integrity and consistency of the data, processing the noise data , Using statistical methods to fill the missing data.
Data Reduction.
Data Mining.

A significant reduction of the data exchanging between the server and the browser brings a faster response speed.
Ajax data processing is shown in Figure 3.
XML data encapsulation method is used in this paper to improve the Web data processing capabilities, and the DOC object used achieves dynamic display of the content on a page.
Research of Not Refurbishing and Updating Data Method in AJAX Web Application.
Data exchange applied research on AJAX[J].

It is mainly for processing and analysis of the collected data, among of which, the correlation analysis of the collected data can be used to verify the feasibility of the system.
The remote control center is mainly responsible for starting the data collection, receiving raw data, and making a certain pretreatment and display, meanwhile sending the processed data to the analysis center when having an abnormal alarm.
This paper focuses on the research of the analysis center system, for processing and analysis of data collected, including the correlation between the signal noise reduction and signal analysis and research [5].
So, the noise reduction processing is very important before signal analysis.
Taking the strain data and temperature data as samples, the correlation coefficient of them is calculated and analyzed and compared with different algorithms.

Once the calibration is done, the prediction data can be corrected by
However, the process of the prediction data is according to the structure of the regression data.
(2) Data Preprocessing.
Data preprocessing includes both data cleaning and data standardization.
The model is built through the history process data.

Application of Auxiliary Antenna Elements for SAR Reduction in the Human Head M.
This technique provides approximately 20% reduction in the SAR value as well as 2.8 dB reduction in antenna received power [6].
SAR reduction depends on the size and shape of ferrite material also.
The results reported in [12] indicate 57.75% SAR reduction.
Carlberg, "Cell phones and brain tumors: a review including the long-term epidemiologic data," Surgical neurology, vol. 72, pp. 205-214, 2009

The data outside intrinsic dimension space will be regarded as noise signal to be eliminated.
Finanly the process of global array by affine transformation will be replaced by mean reconstruction,the data after denoise may be obtained in the inverse process of the phase space reconstruction.
The data outside intrinsic dimension space will be regarded as noise signal to be eliminated.
Finanly the process of global array by affine transformation will be replaced by mean reconstruction,the data after denoise may be obtained in the inverse process of the phase space reconstruction.
In this experiment, vibration acceleration data with color noise is collected from cantilever fan in an aluminum company.