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Steel plates with martensitic structure were cold-rolled up to 40% reduction in thickness.
These iron plates with ferritic structure were cold-rolled up to 90% reduction in thickness.
Dislocation density increases in proportion to the thickness reduction by cold rolling.
The data of cold-rolled martensite were on the line extended from the data of cold-rolled ferrite and the following equation was obtained to the density of stored dislocation ρ for the cold-worked ultra low carbon iron.
(3) � However, the data of as-quenched material locates far away under the line.

The algorithm processes the properties of the data objects, which determines the density of data object by counting the number of similar data objects and selects the center of categories according to the density of data object.
In this paper, inspired from the ideas of a fast K-Means clustering algorithm based on grid data reduction [9], we propose an enhanced K-Means algorithm based on category initial point selection (BIPSD_K).
Then, statistics the number of data objects which fall in the same interval, calculating the density of the data object.
Secondly, the data set is divided data set by iterative loop.
S= {S1, S2,…,Sn} is n dimensional data space, and Si= [Li, Hi].

Currently there are trends toward the use of [4]: o data communications, o performance-based procedures and satellite-based navigation, o automatic dependent surveillance-broadcast (ADS-B) technology, o integration of uplinked weather data with weather radar, o synthetic and enhanced vision, o head-up and head-down displays for surface operation, o open system architectures, and o integrated information management.
These components are responsible for collecting and processing data from other devices in the system, as well as input control commands and send the processed signal to the displays.
Connection and data exchange among components are performed through networks of data buses such as RS232 (shown as black lines), RS485 (green), ARINC429 (yellow), HSDB (blue) and Ethernet (red).
Flight measurement system (brown blocks) which consists of: - attitude and heading reference system (AHRS), - air data computer (ADC), - magnetometer for magnetic sensor and - engine/fuselage microprocessor.
In addition, G1000 system includes some other modules such as data link satellite radio receiver and servos for automatic control of pitch, pitch trim, and roll.

The Situation of study area and Data source Dalian city Situation.
Data source.
In this paper, basic geography data derives from the Chinese academy of sciences institute of 1:100000 Dalian national land use database, including two periods of Dalian land use data from 1990 to 2010.
Due to errors of the remote sensing data interpretation, much amending work were in need.
In the support of ARCGIS9.3 software, two periods of land use vector data were rectified.

On the basis of the flow stress data, dynamic materials model (DMM) and Prasad's instability criterion, the processing maps for as-cast 42CrMo steel were constructed at the strains of 0.4 and 0.6.
On the basis of the dynamic materials model and the flow stress data, the processing maps for as-cast 42CrMo steel were constructed and analyzed.
Fig. 2 Optical microstructures of as-cast 42CrMo steel deformed at strain rate 0.05s-1 and height reduction of 60% for various deformation temperatures of (a)850℃ and (b)1050℃.
Fig. 3 Optical microstructures of as-cast 42CrMo steel deformed at deformation temperature 1150℃ and height reduction of 60% for various strain rates of (a)0.05s-1, and (b)5 s-1.
Fig. 4 Cracks observe at temperature of 1050℃, strain rate of 5s-1 and height reduction of 60%.

The data in normal state are utilized to build an observer with two radial basis function (RBF) neural networks.
It can be seen from the above literatures that data-driven method have widely used in many field.
When a test data is inputted, the observer will estimate the values of normal output signals.
Fist, input the test data into one RBF neural network observer which is trained already to generate the residual.
So what data can be obtained is the control signal and the feedback of transmission mechanism when simulating.

It is thought that structure change, technology progress, demand mode change , more effective laws and regulations are major reasons of reduction of pollution.
Formula (1-1) indicates that the change of pollutant reduction comes from the change of (scale effect), change of (structure effect) and change of (technology effect), Where, scale effect refers to the change of the removal amount of the pollutants due to the change of total environment protection investment; structure effect refers to the change of the amount of the pollutants due to the change of contribution of environment protection investment component, while technology effect refers to the integration of various factors which cause the change of pollutant reduction intensity.
With the decomposition method of different layers, the depth of decomposition layer can be selected according to the data availability.
The data needed for effect calculation all come from Environment Yearbook and Statistics Yearbook.
When compared with the data in 2005, the total environment protection investment in 2010 rose by 128.2%.

These data underline a crucial fact: The optical attributes only offer a partial glimpse into the suitability of a given photocatalyst for solar energy conversion or environmental remediation application.
Comparison between the band-edges of selected semiconductors and the redox potentials for CO2 reduction.
GC data for the simultaneous evolution of CO and H2 from a platinized AgBiW2O8 suspension.
Figure 4 contains the data [7].
Rajeshwar, Photocatalytic reduction of divalent zinc and cadmium ions in aqueous TiO2 suspensions: An interfacial induced adsorption-reduction pathway mediated by formate ions, Electrochem.

Accordingly, a number of methods have been developed for the preparation of metal nanoparticles, such as chemical reduction [2, 3], photolytic and radiolytic reduction [4, 5] and gas evaporation [6, 7].
Yoshiteru Mizukoshi et al [12] have reported successful preparation of platinum nanoparticles by sonochemical reduction with surfactants.
The data were collected from 2θ = 16˚ to 90˚ at a scan speed with 0.8 and increment with 0.03.
The data(all curves) show that the diffraction peak at 2θ= 39.996°, 46.233°, 67.820°, 81.731°, and 86.289° well corresponding to [111], [200], [220], [311] and [222] planes of platinum NPs, respectively.
Comparing the data, it fully confirms that the iron oxide can act as a seed during the reaction if it is not big enough.

Considerations for the selection of suitable cooling method and reduction of liquid nitrogen consumption have been discussed.
· deep cryogenically treated steel, when subjected to tempering, undergoes a reduction in compressive residual stress.
Direct and indirect cooling methods and practical considerations for reduction of liquid nitrogen consumption have been discussed.
Development of the Programmable Cryogenic System The programmable cryogenic processor fulfills two main objectives, which are not possible with manual operations: (i) it allows the use of pre-defined temperature protocols (defined for the type of metal being treated) and precise control of the metal sample temperature during the treatment process, and (ii) it provides automatic data logging and post processing of the test data.
Considerations presented for the selection of suitable cooling method and reduction of liquid nitrogen consumption can enhance the performance of the processor.