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Superior equipment - the computer when the call data is stored data package sent.
Fig. 1 System block diagram The Hardware Design of Data Collection Node The Data Acquisition Hardware Block Diagram Shown in Fig 2, data acquisition module use STC89C54 microcontroller for data processing unit compatible with the Zigbee / the IEEE 802.15.4 radio frequency (RF) transceiver chip CC2430 design data transmission unit and data acquisition unit patrol all electricity RS_485 bus technology table, and connect LCD128 * 64 and DS1302 each energy meter energy consumption values and the acquisition time [3].
The data field length of L: L is the number of bytes of data fields, the read data is not greater than 200, write data is not greater than 50.
L = 0 indicates that no data field.
The data field DATA: send data encryption 33H, receive data reduction 33H.

It was showed that there was no significant difference among data measured from samples treated with stabilizer or air at pH=12 in present of stabilizer.
The data revealed that Cr(3+) content increased greatly after the reduced soil (reduction with only reductant: sodium bisulfite or sodium hypophosphite) was oxidized with air at pH=12, it agrees with others researches[10,11], in contrast, the Cr(6+) content decreased after the stabilized soil (treated with chelate reagent or chelate reagent and reductant before) was oxidized with air at pH=12.
The data illustrated that Cr(3+) content increased greatly after the reduced soil (reduction with only reductant: sodium bisulfite or sodium hypophosphite) was oxidized with air at pH=12, in contrast, the Cr(3+) content almost kept unchanged after the stabilized soil (treated with chelate reagent or chelate reagent and reductant) was oxidized with air at pH=12.
The data revealed that Cr(6+) content increased greatly after the reduced soil (reduction with only reductant: sodium bisulfite or sodium hypophosphite) was oxidized with air at pH=12.
The data illustrated that Cr(3+) content increased greatly after the reduced soil (reduction with only reductant: sodium bisulfite or sodium hypophosphite) was oxidized with air at pH=12.

., 600115, Bacau, Romania aadrian_ghenadi@ub.ro, b lili@ub.ro, c lbibire@ub.ro Key words: mechanisms for automatic changing tool, constructive- functional parameters, dynamic model Abstract: Producing of mechanisms for automatic tool (ATCM), for machining centers requires higher performance, in terms of: the reduction of effective time for tool, simplification of kinematic chain, the increasing of reliability and operational safety, the reduction of weight of the entire subassembly, the increasing of positioning accuracy in handling tools.
For performance of quality transitional processes, it may act by: - Stiffness increasing of mechanisms actuation; - Reduction of couplings clearances; - Proper adjustment of the braking devices; - Appropriate selecting of braking law and of its duration.
For this axis, it is specified the input and output data.
a) The input data are generalized loads (Fig. 3).
These are: - torque (reduced at piston rod) with the expression of in which: po2 and p2 are considered constant (it is adjusted by maximum valve of hydraulic panel of actuators); - generalized resistant moment b) Output data are kinematic parameters of the driven element function of time: Fig. 3.

With this software we can open scan data from any scanner (mesh or point cloud files), then convert it into a surface or solid model.
So by increasing the number of points will increase the profile accuracy, but also will increase the processing time of data.
Functional model which can be designed For a better understanding of scanned file transformation, the procedure was split into three main steps: open data, prepare data and convert to solid (Table1).
Open or scan Data Open Cloud Point II.
Prepare Data Run Mesh Preparation to: a.

Through research, it got the rectangular pipe jacking construction sphere of influence of soil disturbance, and the variation in both horizontal and vertical direction, and compared with the measured data, proved that the numerical simulation has important guiding significance to the pipe jacking construction, will provide a reference for the future construction of similar projects.
Finite-element modeling The influence width value of channel sides is 3 times of the actual channel width, the depth value under the baseboard is 9times of the actual channel height according to the associated engineering data and modeling situation.
Finite-element values anlysis We set 3 monitoring points to collect data along pipe axis vertically on 18m，33m，48m points numbered as ZZ1+0，ZZ2+0，ZZ3+0.And we set 10 auxiliary points horizantally along with the 3 monitoring points and the distances are 4m, 8m, 12m, 16m, 20m.Vertical and horizantal channel displacements distribution curves with reangcle pipe jacking are as figure 2 and 3 Fig 2Vertical settlement curve on point ZZ1+0 with soil excavation Fig 3Vertical settlement curve on point ZZ2+0 with soil excavation Fig 4 Vertical settlement curve on point ZZ3+0with soil excavation Fig 5 Vertical settlement curve on cross section ZZ2+0 with soil excavation The Settling volume reduction can be above 90% when the excavation is in the 3D (D for channel length) range of the monitoring point, and it can be ignored when the excavation is out of the range in Fig 2 and 4.
Meanwhile, the settling volume reduction speed in the monitoring point slow down with excavation section away from the monitoring point.
Conclusions according to the above analysis we can conclude that: 1)The Settling volume reduction can be above 90% when the pipe jacking equipment is in the 3D (D for channel length) range of the monitoring point, and it can be ignored when the excavation is out of the range.

Mumbai were employed in the reduction study.
Repeating the procedure, each time with a fresh sample, the percentage weight loss data were determined for a number of time intervals.
A clear picture of the results is provided by the time span (T1/2) data for half complete reduction listed in Table 3.5.
Carbon particle size has a significant effect on reduction kinetics.
Faster reduction is possible with fine size particles. 5.

In summer, gaseous fuel reduction by 10% could be achieved and the detail results are presented in this paper.
Fig. 6: Operation data of cooling (20th May) Fig. 7: Operation data of cooling (28th July) Evaluation Status and Results Operation conditions.
Figure 6 shows the operation data on May 20 and Figure 7 shows the operation data on June 28.
From the data, it was confirmed that the solar heat priority usage function and gas-based backup function operate properly and overall system functions normally.
Cooling operation starts in late May, therefore, the monthly reduction rate shows the data only in June, however, reduction by 10% could be achieved and the results as estimated were obtained.

The paper gives an analysis of the characteristics of carbon emissions through estimating Xinjiang’s carbon emission amount and then provides a suggestion that we should do more efforts to support carbon reduction in both production and consumption fields.
Therefore, the implementation of low-carbon energy development in Xinjiang requires strong support from all walks of life, and there’s a financial need to carry out its functions as the core of modern economy, to achieve carbon reduction targets for environmental protection.
Situation of Xinjiang’s carbon emissions in 2000-2010 unit：[10,000tons of standard coal ] [%] [ton of standard coal per 10,000 yuan] year Total amount of carbon emission The ratio of coal consumption to carbon emission The ratio of oil consumption to carbon emission The ratio of natural gas consumption to carbon emission carbon emissions intensity 2000 2096.87 73.71 20.54 5.75 1.538 2005 3386.99 66.84 23.74 9.42 1.301 2006 3710.99 67.72 22.43 9.85 1.219 2007 4053.54 68.72 21.61 9.67 1.151 2008 4388.06 72.85 18.23 8.92 1.049 2009 4725.25 76.90 15.02 8.08 1.105 2010 5162.47 77.44 14.14 8.42 0.949 Data source: calculated from “2012 Xinjiang Statistical Yearbook” 2.2.3 There is a big difference in carbon emissions across all industries , the industrial carbon emissions has assumed a dominant position.
In the development and utilization of clean energy and the introduction of low carbon emission reduction technologies, because of the high cost, high risk, low profitability and other characteristics , a corresponding financial policy support is inseparable for the leading procedure of the development and utilization of clean energy and the introduction of low carbon emission reduction technologies.
Peng, Q .Guo.The Study on running mechanism of financial marketization instruments to promote energy and emission reduction.

According to the formula (1), (3)and the data above, estimated that the energy consumption is 5.41 PJ in 2010 in GanSu province.
Choose the star-rated hotel statistical data of GanSu province 2001-2010 which from the yearbook of China tourism statistics as estimated sample to estimate the energy consumption of star hotel.
The data shows that the tourism in GanSu province belongs to the low energy consumption and low CO2 emission industry
The data shows that tourism transportation’s energy consumption and CO2 emission occupies the leading position
In the future, it is necessary to get more and detailed data and in-depth study for tourism detailed energy consumption and carbon dioxide emission status.

As the building sector accounts for about 30% of Taiwan’s carbon footprint, improving the Green Building Literacy (GBL) of building owners or users through general education is important to the carbon reduction commitment.
According to the suggestions by the Delphi panel and guidance of GBL model which was constructed from paper review and countrywide survey data by using structural equation modeling, the GBL curriculum not only conveys the knowledge of fact but more emphasizes on the knowledge for action and basic design skill through the involvement in the specific activities, which are also used to improve students’ attitudes and responsibility to promote their behavioral performance.
Green building is an efficient way to solve the environmental problem that we face today, so that improving building owners’ or users’ literacy about green building is important to the carbon reduction commitment.
Data were collected by means of GBL questionnaire (including Cognitive, Affective, & Behavioral subscale) [4], teacher observation & reflective diaries, students’ assignments, student journal & report writings, and open-ended question test.
Green your life, green your home: Live a Green-Building Lifestyle Activities: ●Changing water usage habits with Water Bank website: http://www.waterbank.com.tw ●Planning to reduce electricity consumption at the Taipower website: www.taipower.com.tw/indexE.htm Knowledge for design skill Decision-making Willingness Practices GC7 Be able to measure the basic data, including: temperature, humidity, lighting, noise, CO2 concentration, etc., in the surrounding environment.