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Each pair of tracks are installed with a data collector and all data collectors carry out a two-way data exchange with the same measurement controller.
The measurement controller is used to receive and deal with both the weight data from the data collector and the video data from video server.
The equipments required reduce a lot which lead to a greatly reduction of investment costs.
Fig. 1 Traditional data acquisition system Fig. 2 Improved data acquisition system The Improved Data Acquisition System Structure of the Improved System.
● Fast data transmission, the maximum rate is 10Mbps

A Kumar-type constitutive relationship of TA15 alloy was investigated by non-linear regression analysis, and the equations were established based on test data from hot process simulator.
According to test result data a Kumar type constitutive relationship of TA15 alloy was investigated by non-linear regression analysis.
Using Q, n and α data, the A value is obtained from Eqs.(1) and (2) as an average at different  and σ.
The height reduction curve waved along forging time, the height reduction reached a trough at the beginning or the end of every hammering period.
Conclusions A Kumar type constitutive relationship of TA15 alloy has been studied by the non-linear regression analysis of test data from hot process simulator.

The results of mathematical treatment of experimental data of fluorination of oxides of neodymium and iron have shown that the minimal error under linearization is given by the equation of the contractive surface.
This results in more complete reduction of fluorides, especially that of oxides, as well as better elimination of reduction smelting products.
The occurrence of moisture and volatile impurities (HF, F2, CO2) in iron and REM fluorides in the lining materials results in reduction of metal fall into ingots, quality loss and abrupt increase of pressure in the reactor during the process of reduction smelting.
If the content of the impurities mentioned is greater than 0.15%, fluorides can’t be used for reduction.
Investigation of the stage of magnet production One part of the ingots of reduction smelting alloys was used to produce magnet samples.

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].

Fuzzy Logic based Sensors data Fusion for Mobile robot navigation S.
The schemes used by Sugeno's car [1] involved the extraction of specific state variables from sensor data before the fuzzy control stage.
Thus, the sensor data have been matched to a world model.
The disadvantages in the robot described by Pin, et al. [2] features 15 ultrasonic rangefinders, without matching data to a world model.
The context data are denoted by a fuzzy set D and the control action is denoted by a fuzzy set C.

The characteristics of medical data make large differences between medical data mining and conventional data mining [1].
A Preprocessing for the Massive Data in Hepatopathy Information System Data preprocessing is an important step which usually takes about 70% of the time in the process of a complete data mining [3].
The characteristics of medical data such as privacy, diversity, integrity, redundancy and timeliness make large differences from conventional data mining [4].
Preprocessing of massive data in liver disease patient information system includes as follow: Fig. 1 Data mining and aided diagnosis system of hepatopathy 1) Anonymization and identity transformation: Due to medical information involves the patient privacy issues, besides the need of the general data preprocessing, medical data also requires special data processing such as name-anonymization and identity-transformation for patient records, thus separates the relationship between patients and patient records. 2) Medical Text standard: The explanation that medical experts do for images, signals or other clinical data in medical text information is usually nonstandard, so it is necessary to standardize the text data [5].
C The Classification Algorithm for Medical Image Data We research a new classification method that based on the combination of rough set and SLIQ decision tree, which combine the two methods’ advantages, namely using rough set data reduction, remove the redundant attributes and decision tree method is then used to generate the classification rules effectively.

Data acquisition system allows continuous introduction of corrections and rapid response to emerging issues, which in turn leads to reduction of losses and increases company's competitiveness on the global market.
Presence of automated equipment (PLC, HMI/SCADA, etc.) with standardized network interfaces significantly improves possibility of data acquisition, allowing fully automated data acquisition, requiring only pre-processing, basic aggregation, reduction and archiving of the data.
Scheme of data acquisition using the Mistrz system Data collectors are placed in the data acquisition cells in separate areas of the production hall, common for a few workstations.
Operation of the Data Acquisition System.
Sometimes workers forget to confirm the operation or enter incorrect data, despite of the data validation.

In the paper, combined with artificial intelligence algorithms, data mining is employed in BOF endpoint control for effective analysis of data characteristics, reduction of noise and irrelevant data terminal on the converter control goals, extraction of useful knowledge from database, and promotion the accuracy of BOF endpoint control.
Data Preparation.
The data set containing 103 records has been obtained by the first data refinement, which the incomplete and incorrect data has been excluded.
Siau .Industrial Management & Data Systems.
Transaction on Knowledge and Data Engineering.

Variable precision rough set(VPRS) model and formal concept analysis are studied in this paper, include algorithm of reduction attribute and extraction rule.
Step 2: If FL needs to be reduced, then using a rule reduction algorithm to reduce FL. 3.
But the traditional recommendation systems have some shortcomings, such as data sparsity and digging out the potential demand.
The primary content of this dissertation is to apply formal concept analysis technology to obtain all connotative concepts and hierarchy of them automatically from the designated data, which is not under the influence of developer.
The primary content of this dissertation is to apply rough concept lattices technology to obtain all connotative concepts and hierarchy of them automatically from the designated data, which is not under the influence of developer.

This approach can also be used to target recognition based on radar data.
Moreover, without dimension reduction, the model’s complexity is high and the learning speed is low.
Assume the original input data has been normalized.
The spectral data come from http://www.ucl.ac.be.
The dimension of the mass-spectrometric data for building mode is 1000.