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Stiffness Reduction of CFRTP Spring without Loading.
These experimental data of the CFRP at room condition express a log-linear relationship between logand log.
Prediction Model of Stiffness Reduction of CFRP Spring.
Prediction Model of Stiffness Reduction of CFRTP Spring.
This experimental data suggested that the material constantshown in Eq.7 was almost 0.

First, the exception handling model process m environmental indicators, if this data is anomalous, the results of the direct output is 0;If the set of data is normal, then put the data into the statistical reduction model for the first level of perfection; Then give the input clustering reduction model a second level of perfection; Ultimately, we can get the main property sheet of the index system according to the reduction criterion .The basic framework of indicators is as follows[3]: Figure2 Multi-level reduction model of complex indicators Unit Model Introduction Exception Handling Model Let , , is the i-th input environment indicators values of learning sample, also is -m dimensional vector.
The process of exception handling model: , Among them ,Namely, judge each index of this group of data, if the value of the data is in the normal range, then the data is normal, otherwise it is abnormal data.
In exception handling model, as long as there is an indicator of the data does not meet the judgment, then the set of data is abnormal data, otherwise is normal data.
As for the data on the diagonal, we can set a threshold to exclude some data, so that the number of error will not be too much after rounding coefficients.
The steps diagram for statistical reduction model is showing below[4]: Figure3 Procession of the statistical reduction model The specific process is as follows: Suppose after exception handling model, each indicator collect N groups of normal data ,based on statistical data description, for each set of this data selected mean, mode, standard deviation, maximum, minimum, sum, number of observations, etc. seven describe methods for each indicator building a multi-dimensional statistical vectors is as follows: ,among them, the calculation formula of average: ;The number is the most times appearing in the sets of data; standard deviation formula: ; the max and the min is the maximum and minimum sets of data; Sum is adding of N sets of data; Number of observations is N.

The synthesis processing of ZrB2 powders includes neutralizing precipitation and carborthermal reduction boronization.
In the present work, ZrB2 powders were synthesized based on the following carborthermal reduction boronization reaction (1) ZrO2 + 0.5B4C + 1.5C = ZrB2 + 2CO (g) (1) According to the thermodynamic data, we can calculate out the enthalpy of reaction (1) at standard condition to be ∆H298 = 589.568 kJ, indicating reaction (1) to be an endothermic reaction (thermodynamic data obtained from Ref.10).
This is due to incompletion of the carborthermal reduction boronization reaction at 1500o C.
Surface area (BET) was estimated using adsorption data in a relative pressure range from 0.05 to 0.1, and the result was shown in Table 1.
Hu: Handbook of Thermodynamic Data of Inorganics (Metallurgical Industry Publications, China, 2002,2nd edition) [11] H.

In order to achieve the emission reduction targets in China, one of the basic ways is energy conservation and emission reduction.
According to the statistics from Liaoning Statistical Yearbook, China Electric Power Yearbook and China Energy Statistical Yearbook from 2005 to 2010 and the data provided by China's power industry statistical data analysis of 2010, combine with raw coal translation of standard coal coefficient and the electrical equivalent of standard coal coefficient, we can get the raw coal emissions CO2 coefficients 1.876 kgco2/kg.
Having transformed, the equation of per capita electricity carbon dioxide emissions can be written as: = * (4) Data Processing.
According to the statistics from Liaoning Statistical Yearbook, China Electric Power Yearbook and China Energy Statistical Yearbook from 2005 to 2010 and the data provided by China's power industry statistical data analysis of 2010, we have some calculation and analysis.
It is estimated that, compared with the data in 2005, till 2020 the target of the 45% reduction of the unit GDP CO2 emissions from power consumption could be able to achieve in liaoning province.

Traditional noise reduction procedures (e.g.
Traditional speech recognition systems use a single microphone to collect the speech data to be analyzed.
However, when the environment includes noise, interfering signals, or when a different microphone is used to acquire data than was used to train the system, the system's performance invariably degrades, usually drastically.
The pattern classifier was trained using data corrupted by Gaussian noise.
Noise Reduction With Multi-microphone Recording Multi-microphone schemes use the principles developed for one microphone in various modifications and represent robust techniques for noise reduction.

GHG reduction of Landfill E.
/MW·h, based on the data of power grid in North China.
Referring to the statistical data of a MSW incineration power plant in Shanghai[5], power generation of per ton MSW incineration is 205 kW·h.
Based on the data of Shuangkou MSW landfill in Tianjin [6], the collection rate of landfill gas generated by MSW landfill is 45-60% and the average rate is 55.5% during 2008-2014.
/tMSW] Total GHG reduction [MT] GHG reduction cost [CNY/ tCO2eq.]

The application of storage tanks and other reduction facilities has play a key role in reducing first flush pollution.
It can also provide reference to the pre-construction and later running or related assessment standards of the initial rainwater reduction facilities.
What’s more, the basic data or information should be ready to be provided by the evaluation object part.
Collect and verify basic information In general, the basic information based on evaluation program could be collected by historical data or questionnaires and symposium, and then the evaluation team should verify it to make sure the basic information is real and effective.
Conclusions The application of storage tanks and other reduction facilities have been proved an effective way to reduce the urban initial rainwater pollution.

In order to test the effect of fast algorithm, the paper used several groups of data sets for comparison experiment.
The data sets used as shown in Table 1.
Fast Reduction Results.
The data in the decision table after making attribute reduction is used as three layer BP network training samples to train.
In Chinese [13] Jensen R,Shen Q.Semantics-preserving dimensionality reduction:rough and fuzzy- rough-based approaches.IEEE Transaction on Konowledge and Data Engineering,2004,16-(12):1457-1471

The UAV remote sensing is an important way of aerial remote sensing, and increasingly become an important means for spatial data acquisition, which has the advantages of long life time, image real-time transmission, high-risk area detection, low cost, flexibility, is a powerful supplement satellite and aerial remote sensing."
Biaxial yuntai fixed wing on the other hand can reduce the UAV in the process of flight of camera shake caused by external factors, on the other hand can improve precision of the aerial survey and reduce the deviation of aerial target and image plane center, ensure the quality of data.
Application of UAV in Disaster Prevention and Reduction [2] Southern Snow and Ice Storms In early 2008, Guangxi suffered a rare large snow and ice storms; we participate in the development of UAV over steep mountains and vast number of open circuit, power off area, to get a lot of intuitive, clear picture image data and for the first for a time sent to the Ministry of Civil Affairs national Disaster Reduction Center.
Ziyuan County mountainous aerial photo “512” Wenchuan Earthquake May 12, 2008, the 8.0-magnitude Wenchuan earthquake, commissioned by the National Disaster Reduction Center, Guilin UAV twice to Sichuan, Gansu, Shaanxi and other disaster-hit aerial perform the task, and successfully completed the exploration of the disaster, the first time via satellite to the national Disaster Reduction Center pictures and image data is returned, during the flight control team to overcome the aftershocks, landslides, mudslides, heavy rain, wind and other harsh environments, rough day and night, the shuttle in the affected towns and between the Grand Canyon, successful completion of the flight control task 13 vehicles, access to more than 1,500 high-resolution photos and 60 disaster-minute video for the Ministry of Civil Affairs disaster assessment team of experts to provide a reliable technical data, has been highly praised relief headquarters.
Through a wide range of flight speed detection, the first time to master the required survey information, and real-time returns investigation data, and provide effective information guarantee for the monitoring center.

Reduction condition : 99.9 % H2 flow 100 mL/min, heating rate 5 °C/min.
Reduction condition : 99.9 % H2 flow 100 mL/min, heating rate 5 °C/min.
The reduction temperature of silica-supported oxidic precursors for NiMoP formation was a range of 530-590 oC.
However, from our previous data the XRD peak corresponding to NiMoP was not detected.
The formation of NiMoP phase on silica is particularly promoted at a below 5 oC/min of reduction rate.