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Data Analysis.
Data reduction and analysis was carried out by using LAMP (Large Array Manipulation Program) software, an in-house data reduction and fitting programme developed at ILL [8].
A Gaussian fitting routine in-built within LAMP was used to fit the raw data and determine the peak position precisely.
Fig. 4 shows the stress contour map obtained from the through-thickness data between the bead centre and end.
The normal strain measured at ENGIN-X (Rietveld data) is more compressive by about 350 µstrain as compared to the SALSA measurement ({311} data).

Three IMS prototypes, one for each group of chemical compounds, were assessed with respect to data repeatability, lower detection limit and response time.
Chlorine was collected in a buffered aqueous potassium iodide solution and analyzed as chloride after reduction by IC.
TABLE II: IMS data and comparison to reference measurements for acidic gases and chlorine.
HF 20.2 1.8 18.3 HF 5.1 2.0 3.2 Cl2 48.6 103.6 45.2 21 - 75 Cl2 19.9 29.7 17.1 Cl2 5.1 7.2 4.6 The data, represented in Table II, show that the ion chromatography data are in good agreement with the set concentrations (initial conditions) while the IMS constantly displayed too high concentrations for HCl and Cl2.
TABLE III: IMS data and comparison to reference measurements for NMP.

Simulation results show significant reduction in impact point dispersion with the attitude controlled trajectory as compared to uncontrolled trajectory.
Physical parameters and aerodynamic data of rocket for trajectory simulations have been obtained from [18].
Significant reduction in impact point dispersion of rocket has been observed and tabulated data obtained from Monte Carlo Simulations, are presented in Table 1, in the form of comparison of number of impacts in different ranges of radial error, for attitude controlled and uncontrolled trajectories of 50° launch elevation.

The database contains well-structured data and was used by many researchers for the purposes of vessels image partition extraction and classification [5].
Support Vector Machine is the supervised learning algorithm used to classify data entered two categories.
The goal of SVM is to select the super-optimal separation of the data set.
The number of features (N) defines the (N-1) dimension space that separates data into two categories.
JSM Biomedical Imaging Data Papers, 2(1), 1004

Under the control of interface program, the module can automatically execute and transmit data.
The second is how each basic module matched with the transmission scheme is automatically called and the relative data are automatically exchange.
The main functions of tolerance database maintenance modules are: editing the data of tolerance databases in order to meet the need of continuous renewal national standards.
The core codes are: for x=1 to jishu Ichuan(x)=val(txtfenpei(x-1).text) next x 2) Implement calls and transmit data step by step Sequential calls and data transmission program flow chart N-S [4] is in Figure 5.
Random module names and file names are generated in order to correctly call modules and transmit data.

The following results are gotten:(1) the construction of the expressway hadadramatic influence to the land use types along and the agricultural structure change obviously; (2) The total value is 20.77×108Yuan in 1995, and increased to 20.96×108 Yuan in 2004, then decreased to20.78×108 Yuan in 2009; (3)The reduction of cultivated land and the increase of construction land were the most important reason for the loss of the ecosystem services value, but because of the increase of garden plot, the total ecosystem services value was stable and increased a littlefrom 1995 to 2009.
Study area and data source Jingcheng expressway is a expressway which connects Beijing to Chengde in Hebei province.
The TM in 1995, 2004 and 2009 image covering Beijing section of Jingcheng expressway is selected to been the data source, then the data processing data is following the next step, the first step is the band combination, projection transformation, image mosaic and resolution of remote sensing image data fusion operation, then, based on the checking and correcting of vector data and attribute data of corresponding relations, the base map production is finished by the source of data pretreatment generation research object 10km buffer area and cutting the scope of the study.

The important data’s collected from PTP port container terminal located at Malaysia.
The input data that used in ANN obtained from Arena results.
Based on the data that given by PTP management, the annual productivity of PTP port container terminal is between 65% and 70 %.
Specifically ANNs are good for task involving some incomplete data sets or incomplete information, and for some cases with high complexity like port container terminal[9].
The results that obtained through these runs are used as input data to construct Artificial Neural Network (ANN).

Reduction of theoretical measurement point Fig.2 Algorithm diagram of actual contour surface (1) (2) (3) Firstly, the coordinate value of probe center is reduced to the coordinate value of actual contact point.
Its coordinate value is: In the same way, the data of point A' C' D' etc. are obtained.
A surface point data of the turning workpiece is measured every 5 mm.
The measurement data is induced into algorithm program to obtain the comprehensive error, then deal with the data respectively to fit out a new tool tracks.
Parts contrast (1-Full compensation; 2-PID compensation) Fig.6 Contrast of experimental data Conclusions The comprehensive error greatly influences profile accuracy of the surface, the machining accuracy can be greatly improved after compensating it.

AD9914 contains a high speed 32-bit parallel data input port which can support polar modulation scheme, such as high data rates and fast programming phase, frequency and amplitude of the tuning word.
Parallel programming consists of eight address lines and either eight or sixteen bidirectional data lines for read/write operations.
The logic state on pin 22 determines the width of the data lines used.
A logic low on pin 22 sets the data width to 8 bits and logic high sets the data width to 16-bits.
A Study on Phase-Noise Reduction Method in Phase–Locked Loop Systems.

Through combining the test data and computing results, two recommendations used to quantitatively determine the ultimate failure load of spherical joint in test are proposed.
In results, the test data may vary among different testers even under the same condition.
DH3185 data collecting system was used for data collection.
Partial data are shown in Table 3 and Fig.4.
The accuracy has been confirmed by the test data; 3) The diameter of tube, the thickness of the sphere wall and the diameter of sphere have influence on the bearing capacity of WHSJ.