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A PC based oscilloscope data system, with maximum resolution of 16 bits and frequency of 20 MHz per channel was used to acquire the signals.
Conversely, if there is a reduction to each sample taken, the CV average should be considered.
Relationship between the samples sorted and population reduction.
P 15 14 13 12 s 3 3 3 3 s/P 0.2 0.214 0.231 0.250 μ 13.5 13 12.5 NA σ 1 0.67 0.50 NA CV[%] 7.40 4.76 3.45 NA Where: P = population s = sample µ = reduction average σ = reduction standard deviation CV = reduction rate of coefficient of variation Mechanical Apparatus.
Numerically, these variations are described in terms of statistical data shown in Table 3, where the results can be found by group regarding the normalized velocity.

The following contents are mainly model and data, and cointegration analysis, conclusion and enlightenment.
Employment population statistical data for 1995-2008 are derived from "Compilation of Statistic for The 60th Anniversary of The Foundation of New China"; GDP data are obtained through data conversion according to prices and price indexes for the very years.
In terms of CO2 data, currently there is no monitoring data of CO2 emissions in China, CO2 emissions caused by fossil fuel account for more than 90% of total CO2 emissions，in most literatures, such as Niu Haixia, Hu Jiayu(2011) and so on, CO2 data is converted from data of various energy consumption.
Then, total carbon emissions for each year is divided by GDP in 1995, carbon intensity data is obtained for each year.
FDI and Pollution: A Granger Causality Test Using Panel Data [J].

The results of this study would be available as fundamental data for developing an international certification system for G-SEED.
In terms of the expansion of environment-friendly buildings for the purposes of response to climate changes and reduction of greenhouse gas (GHG) emissions, countries have developed and operated systems which assesses the environment-friendliness of buildings.
Awakening to an array of environmental crises triggered discussions on buildings' use of energy and the reduction of CO2 discharge; thus, a certification system was sought to reduce environmental load on buildings and to improve their environmental performance.
With a goal of developing a global certification system according to recent trends, this study aims to be used as fundamental data for developing an international certification system in the future by comparing the system with Vietnam which has a different climate condition.
Certification System Category Assessed Items G-SEED Land Use & Transportation Avoidance of Excessive Underground Development, Minimization of Cutting & Banking, Right of light interference Energy & Environmental Pollution Application of Low-Carbon Energy Source Technology Materials & Resources Use of Environmental Product Declaration (Epd), Use of Low-Carbon Materials, Use of Hazardous Material, Reduction Materials, Ratio of Applying Green Building Materials Maintenace Supply of G-SEED Information Ecology Development of Linked Green Network, Green Area Ratio of Natural Ground, Biotope Indoor Environment Adoption of Control Method of Comfortable Indoor Environment, Creation of Exclusive Rest Space Innovative Design Zero-Energy Buildings, Performing LCA on Buildings, Topsoil Recycling Ratio LOTUS Energy Passive Design Water Water Efficient Landscaping, Materials Non-Baked Materials, Sustainable Timber and Rapidly Renewable Materials Ecology Development footprint Waste & Pollution Light

Rainfall and hydraulic data measured at the different catchments was used for the model calibration and verification.
The first set of parameters was defined based on existing data for sub-catchment and drainage structure parameters and slope.
Sewer flow and sewer quality data at two sub-catchments were collected over dry and wet weather periods at each sub-catchment.
Location of data collection points at two sub-catchments are shown in Figure 1.
[5] National Climatic Data Center. 2012. http://www.ncdc.noaa.gov/oa/climate/afghan/iraq-narrative.html

The physical data model of MES was designed by Power Designer software and some key function modules which include workshop plans and scheduling management, Workflow management and control system and process quality control were developed based on J2EE.
Design of system data modeling The design of physical data model is the basis and key work for MES development, now it has many popular tools for system data modeling such as Power Designer, Erwin, Rose and Visio etc.
Power Designer is used to design data modeling in the system.
It has many advantages such as: the whole process of data modeling can be used expediently; the integration of latest theory and method of software engineering, the integration of business flow model, unified modeling language and data modeling[7]; It is suitable for common database management system and parallel modeling for team; design reports of data modeling can be generated according to user demand; It can transfer database structure between different database platform[8].As the follow Figure 3 shows, part physical data model of planning and scheduling of MES is designed by Power Designer software.
Figure 3 Physical data model of planning and scheduling of MES V.

Data on the influence of various factors on balancing accuracy are presented.
(8) Applying equations (2) and (9), let us define the reduction effectiveness of the shaft deflection and the rotor unbalance: , (9) where: is the effectiveness of the reduction of the rotor shaft deflection (amplitude of the rotor vibrations) when the rotor speed is much higher than the critical speed; is the effectiveness of the reduction of the rotor unbalance at the same rotor speed, i.e. the efficiency of automatic balancing.

This is some of the data collected from the interview based on the experience as a from Aurum Synergy Group members.
Other than that, some relevant data for this report are collected include articles and journals as the primary data.
Reduced Supervision A reduction in on-site labour means a reduction in supervision time and costs.
Research Methodology Data collection methods has been done through two ways such as interviews and observations.
Research sites chosen will be the main data sources and the research begins with the research title selection.

Its presence translates into increase in allotropic transformation temperature as well as hardness and strength properties of alloys at the expense of reduction in its ductility.
The available literature data show that component which could improve the relationship between strength and hardness of unalloyed titanium is carbon [6].
The increase in carbon content is also reflected in the increase in strength properties and reduction in plastic properties (Table 3).

The standard also requires that the risk assessment be updated when new data are obtained for the EIFS.
To conduct a PRA, typically four sets of input data are needed.
The other two sets of input data (i.e., stress exceedance and fracture toughness distribution) are of lesser concern for some types of aircraft due to the abundance of data and their relatively lower influence on analysis results.
At the start of a PRA of fracture, an estimated EIFS distribution is derived using the available teardown crack data which could be historical data or data from another source.
Many aircraft types will not have teardown data, which makes the updating more valuable.

This paper take Tianjin for research object, use carbon pinch method, establish the analysis model by the base data of regional energy supply and demand and carbon emission.
Analysis and Discussion The basic data of energy demand and supply of Tianjin as show in Table 1, the left column of the table are carbon emission factors and the supply of coal, oil, gas, clean energy.
Link the data of emission factors from small to large in Table 1 respectively, draw energy supply and demand curves shown in Figure1: Table 1.
The Basic Data of Energy Supply and Demand in Tianjin Energy Resource Emission Factor (tCO2/TJ) Available Resource （1013KJ） Energy Demand Expected Consumption （1013KJ） Emission Limit (105t) coal oil nature gas others Total 105 75 55 0 75 134 7.2 >6.8 >223 Region 1 Region 2 Region 3 Total 37 76 110 223 92.5 405 1073 1570.5 Table 2.
In addition, in initial data, the total emission of three regions is 1570.5×105tCO2, and now it is 1409.8×105tCO2, reduced emission by planning, but costs have increased.