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Surface Reconstruction Based on Laser Scan Data Y.P.
The error of surface comes from the process of data smooth, data reduction and parameterization.
Functions of the System The system as shown in Fig. 1 consists of scanning data input, points data preprocessing, curve and surface reconstruction, result evaluation and interface with other system.
Tables 1-2 are the measured scanning data of the object in crosswise.
Conclusions An integrated system for scanning data with data preprocessing and surface model reconstruction functions is successful developed.

The key techniques of reverse engineering include: data acquisition, data processing and model reconstruction.
The main processing content includes removing noises, data smoothing and filtering, data reduction, data division, data orientation and alignment.
Through point cloud data processing, the STL data is created.
Consistency data sampling.
Model reconstruction in NX After data processing in Geomagic Studio software, the data save into IGS or STEP format.

And Optical Fiber (OF) with 245μm exhibit about 23.5% reduction.
Rong-mei Liu et al [6] made OF embedded parallel with the direction of the reinforcing fibers (0°), and observed that the tensile strength of CFRPs at [0/-45/45/90/OF/90/45/-45/0]s exhibited a maximum reduction (nearly 7%) as compared to the sample without OF.
Jensen et al [7] have investigated the reduction in compressive properties caused by the incorporation of OF in a graphite/bismaleimide matrix.
In the laminate of [03, 902, 0] s, a strength reduction of 70% and a stiffness reduction of 20% were observed during compressive testing.
And the average of group is gotten from every valid data of specimens.

It is not on obtaining the data and reporting the practical status and the test data result, but more importantly is on finding out the shortcoming of the students’ physique and conduct constant and effective improvement [3].
There is variation of data points in the input space and the difficulty involved in mapping such a space.
The variable reduction or dimensionality reduction comes to help under such conditions.
Empirical analysis Physique health conditions empirical analysis based on weight test data Sampling 10357 students’ physical health test data standardization conditions is as Table 1 shows.
Table 1.Partial sample data standardization result table Sample No.

Jansto1, * 1 CBMM North America, Inc, 1000 Old Pond Road, Bridgeville, PA 15017 USA Keywords: Recrystallization kinetics, Reduction schedule, Reheat conditions, Solidification, TMCP Abstract.
Niobium enables achievement of substantial grain refinement when the plate is rolled with the proper reduction and thermal schedule.
TMCP process metallurgy involves the triad of slab reheating practices, proper reduction schedules for appropriate recrystallization type during deformation and accelerated cooling rates (exceeding a minimum of 5°C/second) on the flat rolled products.
Relationship Between Recrystallization Type and Impact Toughness There is limited data relating the impact toughness to the perecentage of Type 1, 2 and/or 3 in a given microstructure.
- Superheat control 15-20°C - Maintain air-to-gas - Mould level fluctuation burner ratio of 1.10 - Control casting speed variations - Maximize adiabatic flame temperature - Homogeneity of heating through slab thickness Hot Rolling Deformation Schedule - Prior austenite conditioning for Type 1 - Appropriate reduction

The simulated results show that the constructed model is well correlated to measured data.
A lot of input data are defined during the engine model construction.
The data show a very well agreement as listed in Table 2.
Table 2: Actual test data of CDA operation compared to simulated model.
The model has been well correlated with measured data.

Fig.2 Generated Electric Power Fig.3 Reduction of ship CO2 Emission on Different Engine loads on Different engine loads The CO2 Emission Reduction of the Waste Heat Recovery System.
Similar to the rule of generated electric power presented in Fig.2, the increment of CO2 emission reduction with engine load increases.
So it can save diesel oil by using the system a year: Using the system can save boiler fuel a year: If diesel oil is $1200 per ton, heavy oil is $685 per ton, it can be saved fuel cost a year: The waste heat recovery system equipment investment is $ 7,000,000, and the annual interest rate of equipment investment i=10%, assuming it can recovery equipment investment with N years, and based on investment recovery analysis method of investment economics, it can be seen [7]: Substituting the relevant data, we get N≈2.42<5.
Marine diesel engine waste heat recovery system with multi-stage flash can further recover the low temperature waste heat of exhaust, thus it can reduce ship operation cost and CO2 emission so as to realize the purpose of energy conservation and emission reduction.
In this paper, the electric power and CO2 reduction emission are based on the ideal operation, so the actual gain should be lower than the above calculation results.

According to the detail reconnaissance data of tunnel from Hubei traffic planning design institute, the tunnel’s axes goes through an area of ground level ranges from 240 to 520 meters.
Then the optimum unloading scheme is chosen. 2 Slope stability calculation method of strength reduction In FLAC3D, strength reduction method is used to calculate slope stability ratio.
Strength reduction method is shown in formula (2-1) and (2-2).
Now we get the reduction factor and also the stability safety factor [5~8]
Solving Slope stability safety coefficient With finite element strength reduction method[J].

Wang et al. [6] compared the accuracy of prediction by AASHTOWare Pavement ME Design and FlexPAVETM using material and field data.
Wang et al. [7] have compared the failure predictions made using FlexPAVETM with the actual field performance of numerous existing pavement sections and observed that the predictions reflected results similar to the field data.
Wang et al. [8] used field data from 39 pavement sections for the calibrations.
The prediction results using the FlexPAVETM software produced similar results to the field data.
The traffic data was taken from the example II.3, Annex II of [9].

Accoring to the statistical data, for the typical year with the guarantee rate of 75%, the regional water supply and water demand is shown in Table 1.
The data indicate that the total demand water quantity is 18,310,000 m3, and the supply quantity from small scaled water conservancy facilities is 2,100,000 m3, so the total average annual gross water quantity supplied by upstream reservoirs (Xiguo Reservoir and Xiaobeihai Reservoir) can be predicted to be 16,210,000 m3.
The ecological and environmental water requirements under different reduction rates of COD and NH3 are list in Table 3.
Table 2 Reduction of COD and NH3 Quantity [t/a] Item Current situation Target Reduction Reduction rate COD 55.86 19.85 36.01 79.3% NH3 18.80 1.02 17.78 94.5% Table 3 Ecological and Environmental Water Requirements Reduction rate COD NH3 Total ecological and environmental water requirement [10,000m³] Reduction [t/a] Water demand after reduction [10,000m³] Reduction [t/a] Water demand after reduction [10,000m³] 94.5% 52.79 50 17.78 204 204 90% 50.27 85 16.92 350 350 85% 47.48 121 15.98 510 510 80% 44.67 154 15.04 623 623 75% 41.89 183 14.10 751 751 70% 39.10 200 13.16 850 850 65% 36.31 220 12.22 945 945 60% 33.51 247 11.28 1040 1040 Water supply analysis.
According to the runoff data of dam site, the mean annual runoffs are 7,883,000 m3, 3,690,000 m3 and 8,855,000 m3 at the dam sites of the Gaotan River, Xiguo Reservoir and Xiaobeihai Reservoir respectively, the mean annual average flow rates are 0.250 m3/s, 0.117 m3/s and 0.281 m3/s respectively, and the mean annual runoff depth is 463.6mm.