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The ecosystem area of the region investigated is represented by the data of the TM image made in 1990 and 2000 and CBERS image data in 2005.
Different processing modes are used for processing the data source of different periods.
The image data of1990 and 2005 are rectified on the basis of TM image data of 2000, and the mean position error is controlled within two pixels.
Thus, dynamic data of land use during different periods is obtained.
At the same time, the data of ecosystem area in 1990, 2000 and 2005 are obtained, too.

The dependence of volume reduction (V/Vo) and lattice parameters (a and c) on pressure were obtained successfully.
The calculated energy gaps showed a reduction in the band gap width of 4H and 6H with the pressure increase while 2H band gap increased gradually with pressure.
The reduction in the bond lengths became more symmetric at pressures higher than 90GPa, and with almost no changes in the unit cell angles.
Therefore theoretical calculations are comparable to the experimental data.
The variations in the electronic structure of the polytypes showed a reduction in the band gap width of 4H and 6H with the pressure increase while 2H band gap increased gradually with pressure.

Analysis of the test data also indicates that the environmental causticity enlarges the dispersivity of fatigue life.
Table 1 test results of center-hole specimens(loading cycles) Laboratory air Wet air neutral salt fog acidity salt fog Mean value 119716 70476 65717 54951 Number of specimens 5 5 5 5 Table 2 test results of CC(T) specimens(loading cycles) Laboratory air Wet air neutral salt fog acidity salt fog Mean value 45744 38536 37391 35620 Number of specimens 8 12 10 8 Discussion The results indicate that the aggressive environment has a great reduction on the mean value of fatigue life, and the environmental influence can be described with fatigue-life-corrosion- modification-factor a properly. 01 NNa c−= (1) Where, cN is the number of loading cycles in corrosive environment, and 0N is that in the reference environment (laboratory air).
Analysis of the test data indicates that the environmental causticity enlarges the dispersivity of fatigue life.
The results show that aggressive environments perform is a significant reduction on both crack initiation life and crack propagation life.
The value of a indicates the grade of environmental reduction effect on fatigue life.

The advantage of photo reduction of CO2 is to use inexhaustible solar energy.
Photocatalytic CO2 reduction by Metal-loaded TiO2 The the earliest observations of photoelectrochemical CO2 reduction was found in the literature was by M.
From XRD data it was observed that the rutile phase was present in both pure TiO2 and in CoPc–TiO2 catalysts at lower temperature (400 °C), with more in CoPc–TiO2.
Fujita, Photochemical carbon dioxide reduction with metal complexes.
Yamashita, Photocatalytic Reductions - Photocatalytic Reduction of Carbon Dioxide with Water and Hydrogenation of Unsaturated Hydrocarbons with Water, in: Hetergeneous Photocatalysis, M.

The aim of this paper is to introduce a new design as well as to compare the stiffness, load capacity and weight reduction of composite material with that of steel leaf spring.
In addition, steel spring causes a reduction in the level of comfort provided, due to the continuous running of the small loader car.
In order to obtain great weight reduction, improve comfort ride quality and safety for the passenger, the present paper is mainly focused on the implementation of composite materials by replacing conventional steel leaf spring.
Within the limits of the physical problem, the processing of the data is usually done.
While the post processing offers information for acceptance or rejecting of the data analysis of the model [8].

Reducing the static cutting edges via segmenting the wheel which automatically leads to reduction of momentarily engaging cutting edges results in a reduction of rubbing and plowing regimes and therefore a decrease in the specific grinding energy.
Reducing the static cutting edges via segmenting the grinding wheel which automatically leads to reduction of momentarily engaging cutting edges results in a reduction of rubbing and plowing regimes and therefore a decrease in specific grinding energy.
In order to achieve reliable data each test was repeated three times.
Hence grinding forces acting on each active grain are decreased, resulting in a reduction of total grinding forces.
Furthermore, the considerable force reduction by employing the T-Tool wheel may also be interpreted as a reduction in the generated heat in the contact zone.

In more practical terms neural networks are non-linear statistical data modeling or decision making tools.
They can be used to model complex relationships between inputs and outputs or to find patterns in data.
Observed data and calculated data in Huyuankou Station Figure 5.
Observed data and calculated data in Jiahetan Station Figure 6.
Observed data and calculated data in Gaocun Station 6 Conclusion Chaos BP neural network model is a mathematical methodology which describes relations between the input and output data irrespective of processes behind and without the need for making assumptions considering the nature of the relations.

For CCUS technology to be widely used, more accurate evaluation work based on geological, geophysical, geochemical, rock mechanical, and other data should be done. 
Illustrated Case Study The CTS-PTA is tabulated using secondary data from a variety of sources.
Table 1 shows the CO2 data sources (S) and demands (D).
The algebraic targeting approach was used on secondary data to assess the potential CO2 utilisation management by meeting CO2 demands at different purities.
The use of this innovative approach resulted in a 47% reduction in CO2 storage.

This paper presents a hybrid K means clustering algorithm based on Principal Components Analysis(PCA) and Particle Swarm Optimization(PSO) to solve target recognition problems. the data of samples is processed by PCA and dimensionality reduction is done.
The step of dimension reduction is generally as following: (1) Standardize the original data and eliminate the influence of dimension
Data clustering problem is usually evaluate by the solution of tectonic target function.The function could be denoted by Eq.(5)
Dimensionality reduction has achieved and p eigenvectors form new characteristic sets:.
Rousseeuw: Finding groups in data: An introduction to cluster analysis(John Wiley & Sons, New York 1990)

The result shows that 11 vehicle can be reduced resulting in cost reduction in a total amount of US$195,097 annually Introduction NT Transport Co.
The developed software is divided into 5 portions/parts, i.e., data collection, map, clustering, routing, and report.
Fig. 3 shows database in the data collection part, this includes latitude, longitude, type of service point (Branch/ATM), time window, demand, Branch/ATM code, distance/time between depot and service point retrieved from Google Map.
Table 2 Results of Vehicle Routing of Cash Distribution Depot Branch ATM # of previous route # of new route # of previous route # of new route A 11 11 43 34 B 11 10 27 25 C 7 7 17 18 Total 29 28 87 77 # of route decrease 1 Route Reduction 10 Routes Reduction Conclusions Even if, the results found could not be compared with a reduction of distance in a certain extent because inappropriate data collection (before improvement) on distance to/from an exemplary case study.
Also, software used for processing data allowed parameter to be adjusted according several factors such as capacity of vehicle, average speed of vehicle, service time at each service location, etc.