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As one of the efficient means of data acquisition, remote sensing data play an important role in many areas of life through the development of technology and the improvement of spatial resolution.
In this paper, the application of remote sensing data on dynamic monitoring of coastline in the Yellow River Delta was analyzed.
Data and Methods The data used in this paper are fourteen scenes remote sensing images of the Yellow River delta from 1996 to 2011, which is shown in Table 1 and 1:50,000 scale topographic map of Dongying.
Fig. 2 Location of the study area (1) Study area of the Diaokou Estuary The length of the coastline in the Diaokou part has a linear reduction during 14 years from 1996 to 2011, from 78.78km in 1996 to 63.33km in 2011, with an average reduction rate in 0.96km/a.
(2) Through interpreted the multi-temporal remote sensing data could get the exact image of coastline, and provided data support for coastline changing trends research

According to the engineering geological and geophysical data, field outcrop on UDL Archeozoic Fuping group put a shop group (Ar3f ) biotite plagioclase gneiss, from top to bottom has weathered, strong weathering, weathering in three kinds of soil properties.
The toe of slope changes first; with the strength reduction, slope displacement develops gradually, eventually leading to the failure.
Extracte every reduction coefficient F, using software z-soil to calculate, we can achieve the distribution of plastic zone of the slope to observe the plastic zone’ development.
With the strength reduction factor F increasing gradually, plastic zone located at the toe of the increases gradually, and slowly extent to the top.
When the reduction coefficient F=1.0, plastic zone is produced at the slope toe.

The required input data are rolling speed, roll radius, furnace temperature, initial and final height of the specimen, and specimen width.
Experimental Data used in validating the new hot rolling simulation was obtained through preliminary metallographic, hot torsion tests, and hot rolling experiments performed on the as-received wrought AISI316 (with Nb, V and Ti inclusions) in the temperature range (600-1200) OC and strain rate range of (3.6X10-3 - 1.4) s-1.
Program Validation The hot rolling experiment performed on AISI316 provided a data base for assessment of the validity of the simulated model.
Fig.2: Effect of Reduction on Yield Stress distribution at Low and High Strain Rates 50 100 150 200 250 300 350 0 0.94 1.94 2.94 3.94 4.94 5.94 6.94 7.96 8.96 9.96 10.96 11.96 12.96 13.96 14.96 15.96 Specimen Height, mm Yield Stress for Load Calculation H37, Strain Rate = 0.08, Reduction = 6.27% H39, Strain Rate = 0.08, Reduction = 14.54% H41, Strain Rate = 0.09, Reduction = 19.35% H43, Strain Rate = 0.09, Reduction = 22.77% H38, Strain Rate = 1.00, Reduction = 6.67% H40, Strain Rate = 1.17, Reduction = 15.21% H42, Strain Rate = 1.28, Reduction = 20.15% H44, Strain Rate = 1.37, Reduction = 24.43% Fig. 3, revealed a uniform pattern of rolling load distribution with specimen through-thickness from the rolling surfaces.
Also, the ratio of experimental to estimated roll load and torque were higher at lower reduction than at higher reduction.

This paper analyzes the status quo of study of rubber asphalt overlay noise reduction and mechanism.
Cao Weidong and Ge Jianmin equal to study the skeleton dense noise reduction road in 2006.
Field testing of road noise In this noise test, we selected freeway A and highway B and secondary roads C that before and after asphalt overlay as a total of four a field data.
Chart 3 Cement road noise to detect normal chart of secondary road C From Chart 2, we can conclude that on the secondary roads cement concrete pavement, noise data collected basically meet the normal distribution.
Chart 4 Rubber asphalt road noise detection normal chart of secondary road C Noise data was detected from the Cement Concrete Pavement thin layer of rubber asphalt pavement after paving 5cm.

Wavelet Transform Based 3D Scattered Data Processing in Binocular Micro Stereovision System C.
Keywords: wavelets transform, scattered data, edge extraction, median filter Abstract.
In micro stereovision system, false matching due to the randomicity of image signal makes 3D reconstruction data contain a large amount of abnormal data in the form of noise (pulse noise, Gauss noise).
Experimental results indicate that the method proposed is effective to removing abnormal data from the 3D reconstructed data and enables 3D measurement position accuracy to reach 3 mµ .
All these drawbacks make the 3D shape reconstruction data contain a large amount of abnormal points.

Research on the Orthogonal Test of Tunnel Supporting Parameters Based on the Finite Element Strength Reduction Method Pengli He Luoyang Institute of Science and Technology Luoyang Hena 471023 China hepengli2003@126.com Key words: orthogonal test; strength reduction finite element; safety factor; numerical simulation; support parameters Abstract: In this thesis, considering the double-hole parallel tunnel engineering with super-small interval, the optimization of designed supporting parameters are studied by the strength reduction finite element method.
Strength reduction orthogonal test method of finite element Finite element strength reduction [1-2] is through the strength reduction to analyze the structure stability, until the structure to achieve critical state so far, this time the reduction coefficient is safety coefficient required by the structure.
The tunnel overall safety coefficient can be got by finite element strength reduction computation under each of the supporting conditions.
But the comparability between the test data will be found if they are fit together.
Based on the finite element strength reduction of double holes parallel tunnel construction simulation and parameters optimization design [D], 2005, (in Chinese) [6] Rongheng Sun.

But the reaction requires 6-10 equivalents of NaBH4 for the reduction.
Results of the reduction of methyl benzoate in different solvents.a Entry NaBH4 (equiv.)
Possible mechanism and tentative intermediates in the reduction of the esters.
Products were all known compounds and were identified by comparing of their physical and spectra data with those reported in the literature.
General experimental procedure for the reduction of esters.

Green-efficiency Assessment of Chinese Industry Based on Principal Component Analysis and Super-efficiency Data Envelopment Analysis Ruijie LIU1, Zhihui ZHANG1 1 Dept of Construction Management, Tsinghua University, Beijing, China Keywords: Industry, Principal Component Analysis, Super-efficiency Data Envelopment Analysis, Green-efficiency Assessment Abstract.
Evaluation Methods Super-efficiency Data Envelopment Analysis.
Adopting principal component analysis in dimension reduction can overcome the limitations of DEA input-output indicators, make full use of available data, and avoid subjective factors in the selection of indicators.
As the DEA model requires the input-output data to be positive number, and a negative number will exist in the principal component analysis result, so there is a need of conversion to turn all the data positive and ensure the relative gap between data of different years unchanged.
By utilizing the data of Chinese industrial input-output indicators in Table 2 as an example, the super-efficiency DEA model calculates the Chinese industrial green efficiency.

The effectiveness of noise reduction of the noise barrier can be affected by many factors.
The data indicates that noise reduction results of noise barrier of the viaduct are generally relatively lower than expected.
The effects of the viaduct and noise barrier vibration on the noise reduction of the noise barrier are studied using the combination of the test data and a real viaduct and noise barrier.
The analysis of the noise reduction amount of the noise barrier.
Therefore, the noise reduction result of the noise barrier reduce 2.3dBA because of the influence of viaduct sound radiation, the impact on noise reduction result of the noise barrier is remarkable.

Evaluation of CO2 reduction CO2 reduction in the green building is the most important point in the minimization of overall energy use.
Recommendation of the construction process for green buildings Planning Planning is to establish the conceptual design strategy by setting the building’s target goal and collecting basic data.
Land analysis can be divided into humanity, society and nature status analysis and should be used as basic data to develop alternatives by evaluating the land’s potential.
After land analysis, basic data are collected for energy saving element technology and renewable energy technology.
Basic planning In this stage, micro-climate and the applicability and potential of element technology are analyzed, and relevant standards and data are studied.