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Many studies have been conducted for data link communication [2-7].
Is ACARS and FANS-1A Just Another Data Link to the Controller.
Miami Controller-Pilot Data Link Communication Summary and Assessment.
Controller Pilot Data Link Communication (CPDLC) Build 1 Value Added Services.
Impact of Controller-Pilot Data Link Communications on Oceanic ATC Service.

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%.

The studies of intersection safety evaluation mainly rely on accidents and conflict data.
Data Description These intersections cover four cities from East China to West China, major cities and some towns, therefore, these safety data can represent widely.
Besides that, these accident data also contain the crash type of each accident.
The third type of intersection (called T-3 intersection for short) has some accident data, but these data is not full in recently three year.
IDP is weights by IADP and ICDP with different weights, which determined by the relationship and quantity between accident data and conflict data.

Introduction In the backdrop of the world's energy crisis, automobile fuel economy has been increasingly attracting people's attention, and aerodynamic drag reduction will effectively reduce the fuel consumption.
The technology of CFD can simulate the conditions and obtain the data which experiments cannot [2].
Latin hypercube sampling (LHS) is a method of variance reduction which has been widely used in the fields of simulation, optimization calculations and reliability calculations [3].
Seen from the analysis of streamline distribution diagrams of the models, a smaller CD will be acquired by the backward movement of boundary layer separation points and the reduction of vortex area.
Considering aerodynamic characteristics, some measures can be taken to move vortex area backward or reduce the area of vortex in automobile style design for the purpose of aerodynamic drag reduction.

In order to assess the impact of railway traffic on the environment it is necessary to have data on noise levels in the vicinity of railway tracks.
It also provides sufficiently detailed data for analysis of a train passage by the measurement point.
The data needed for calculating noise indicators by prediction model "Schall 03" were collected during noise measurements.
The main lack of "Schall 03" model refers to inability of changing data that describe technical conditions of rolling stock and railway infrastructure.
These data are presented as constant input parameters and relate to the conditions of the German railways.

Result and discussion 2.1 Catalyst texture property Table 1 The texture parameters of different supports and catalysts Samples Surface area (m2/g) Average pore size (nm) Total volume (cm3/g) Al2O3 190 10 0.47 CA 138.3 9.8 0.34 ZrO2 44 22.5 0.24 CZ 30.8 15.2 0.12 TiO2 20.5 35.2 0.18 CT 19.9 33.2 0.16 The texture data listed out in Table 1 shows that, the specific surface areas sequence of carrier is: Al2O3>ZrO2>TiO2, and the average pore sizes sequence is: TiO2>ZrO2>Al2O3, so we can see that the texture structures of these carriers are greatly different from each other.
Take the ratio between peak appearing area before 400℃ and the whole peak appearing area as reduction degree, data of reduction degree is as list in Table 2, from which we can see that, the reduction degree sequence of the three catalysts is: CZ>CT >CA.
From TPR result, CZ catalyst has the greatest reduction, while CA has the lowest reduction, which shows that the more the reduced cobalt is, the higher the catalyst activity will be.
The difference in CO adsorption and dissociation level on various catalysts, as well as difference in their reduction respectively, lead to differences in their activity.
The higher CO adsorption and dissociation capacity the catalysts have, the higher their activity will be; meanwhile, the higher the reduction of catalysts is, the higher catalyst activity will be.

Different areal reductions of 98.5%, 95.7%, 85.9%, 70.2% and 43.7% were obtained in 3 mmφ rods through this procedure.
Using these rods with 50 mm in length, Young's modulus was measured as a function of reduction by the free resonance vibration method.
For XRD analysis of data obtained from a wide area, 7 disks with 0.7 mm in thickness were electro-discharge machined from a 3 mmφ rod and pasted on a glass plate in a close packed arrangement after mechanical and mirror-like polishing.
Fig. 1 shows Young's modulus of swaged 3 mmφ rods as a function of areal reduction, where data from cold rolled plates [5] and groove-rolled rods [6] are included for comparison.
In contrast to cold rolled plates and groove-rolled rods, Young's modulus of swaged rods is not changed against reduction of area.

The entire year data of each activity such as amount of energy, fertilizer and herbicides used, main product, residues produced in oil palm plantation, milling and biodiesel plant were analyzed and calculated by the basis of Gate to Gate.
This recycle process is incredible benefit, resulting in GHG reduction and cost saving of producers.
Methodology Field survey and data collection The field survey and the collection of primary data are carried out with the analysis on the GHG emission from the production of FFB, CPO and B100.
The field survey and data collection take place at plantations, crushing mills and biodiesel plant in the South of Thailand.
The analysis applies the calculation of GHG emission multiplied by data collected from the activities.

The numerical predictions are analyzed in terms of absolute vertical displacement, absolute horizontal displacement, mean stresses, volumetric strain, maximum shear strain and strength reduction factor.
This tunnel and culvert accommodates the majority of the underground public utilities necessary to supply this business center with energy, water and data communication.
The results are discussed in terms of absolute vertical displacement, absolute horizontal displacement, mean stresses, volumetric strain, maximum shear strain and strength reduction factor.
The Strength Reduce Factor (SRF) is the critical strength reduction factor.
The Fig. 24 and Fig.25 present some field data from tests carried out on twice composite ground with SC and DMC.

The work in this paper can provide useful research foundation on the following noise reduction design of landing gear.
Souliez, etc. [2] simulated the flow field around simplified landing gear based on unstructured grids and RANS methods; Hedges, etc. [3] carried out the simulation for the simplified landing gear model using DES method, obtained better results than URANS method; In the research of Lockard, etc. [4] , the landing gear model contains the detail components such as hydraulic system was simulated using URANS method to obtain sound source data, and the far-field sound propagation is calculated combined with FW-H integral method; Spalart, etc. [5] achieved the aerodynamic noise of simplified landing gear model based on URANS method with structural grid.
Therefore, this paper intends to adopt RANS/NLAS method to undercarriage study on aerodynamic noise prediction of landing gear to establish foundation for landing gear noise reduction research.
Firstly, Reynolds averaged Navier-Stokes equation (RANS) is used to obtain the initial flow field which offer NLAS data to generate subgrid source term.
Aircraft noise reduction technologies: A bibliographic review[J].