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The results showed that the removal of  increased with the pH value and initial concentration of COD increasing and the data of its adsorption fitted the Langmuir isotherm best.
The CODcr data for adsorption were fitted to the Langmuir and Freundlich isotherm equations and to describe how the solute interacted with the resin.
Kinetic data was fitted to pseudo-first-order and pseudo-second-order models as shown in Table 3.
The equilibrium experimental data of the adsorption of CODcr on D3520 resin at different temperature was fitted to Langmuir and Freundlich isotherms, describing the adsorbate/adsorbent behavior within the concentration range studied.
Decolorization and COD reduction of dyeing wastewater from a cotton textile mill using thermolysis and coagulation[J].

The Deltatherm system is used to capture a thermal image of the specimen (known as DC data) simultaneously with the thermoelastic data (known as AC data).
Comparison of thermal data - thermocouple interrogation and calibrated data.
Plot comparison of baseline thermoelastic data and corrected data.
Thermoelastic data from composite panel in fatigue rig
The initial data shows a discontinuity at the defect.

Data Collection and Data preparation Remote Sensing Data The Remote Sensing data of the study are mainly Landsat TM images (including 2008 and 2010).
The Landsat TM data are composed with scenes.
Environmental Data Environmental Data include climate & meteorological data, economic & population data, policy guidance and so on.
Ancillary Data The ancillary data are also important in remote sensing interpretation.
Fig. 2 Flow of Image Data Preprocessing IV.

(1) Observation data management Import a variety of observational data, in the observations section of subgrade observation data for consolidation, settlement observation data input, editing, saving function
(4) Other extensions Other features: automatic alarm function of settlement data and so on.
Measurement of software by importing data, measurement data provides efficient, secure processing, minimizing settlement during the assessment of repeated tedious manual labor, greatly improving the efficiency of work.
It imports the settlement observation data from outside.
The imported data can be for graphics rendering and management, as shown in figure 2.

The experimental system consists of true triaxial machine, hydraulic control and data acquisition equipments.
At first, the images were transformed into the black and white bitmaps by the software Photoshop, and then were transferred to the binary images and binary data matrices with Matlab.
Then it had a sharp reduction.
After rockburst the cracks coalesced finally so the fractal dimension again had a reduction.
After rockburst the cracks coalesced finally so the fractal dimension had a reduction again.

The monitoring data showed that displacement of lower part was bigger than that of upper, and the sliding because of the reservoir water level decline.
Finally, using the monitoring data from 2007 to 2012, this paper elucidate the landslide deformation phase and study the deformation mechanism and failure mode.
Analysis of Monitoring Data.
As for the landslide, it originated due to long-term progressive shear strength reduction of tectonically weakened rock mass and the rainfall acted in this case as a trigger of a process.

Therefore, the author developed a ‘bottom-up’ method for first determining the phenological growing season at sample stations, and based on NOAA/AVVHRR, meteorological data, ground phonology observation data, vegetation category data, and so on.
B Data sources and processing Using data from the U.S.
The spatial resolution of the data is 8 km × 8 km, the time resolution is ten days, the group of data time span are fron January 1982 –December 2003.
Vegetation phenology measured data obtained from the meteorological stations in the plant phenology observations.
Reduction in spring rainfall in most parts of the Long River Basin precipitation to decrease the maximum (-7.8 ~ -3.0 mm/10 a).

The data acquisition frequency of the accelerometer was 12500Hz.
The data recorded with the help of a temperature sensor, infrared sensor, thermocouple, and accelerometer is analyzed with the help of machine learning and advanced signal processing techniques[5].
The acquired data were analyzed using the Bayesian Dirichlet Process (DP) mixture model and evidence theory.
The vibrations signals were acquired at the data accusation frequency 12500 Hz.
· Reduction in nozzle clogging can improve the functioning of and quality produced from fused deposition modeling.

Methods: Data were divided into two groups (January to March in 2012 as before the implementation of PDCA-cycle and August to October as after the implementation of PDCA-cycle).
Method of data collection Items of critical values were randomly selected from Laboratory Department and Department of Image.
Check (C) The QC office collects the QC data from various departments monthly and process the statistical analysis of data.
Statistical method Data were analyzed by SPSS16.0 software.
The data before and after the implementation of PDCA were tested by χ2.

The function of RFID is to clearly mark the ID, attribute and affiliation; WSN to acquire locations of factors from the sensors; ZIGBEE to transmit the combined data (RFID and WSN data) to computers through networks.
Position information, which was processed by special software on computers and was based on the combined high-accuracy distance data from the ultrasonic sensors of each wireless tags in WSN [4] and the data from tags of RFID protocol, will be visualized into graphic symbols on a diagram.
Query signals received are sent by coordinators to each terminal to acquire the ID data that will then be sent to laptops.
ID data of wireless tags and ranging data will be sent back to laptops. 2.3 Processing of ID data and ranging data Data format, consisting of 8 markers (GUID, TYPE, SN, OSN, OTYPE, ONUM, R-GUID and DIST), is sent back from wireless tags as Fig. 3.
Fig.3 Data format Ranging data generated by the wireless tags on measurement points is sent back through other 5 marker (OSN, OTYPE, ONUM, R-GUID and DIST).