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For instance, a grant of 400 Euro/ton of carbon reduction by implementing GSHP systems has been initiated by French Agency for Environment and Energy Management.
GSHP systems or related products should be tagged in various categories and qualified users can obtain a discount on electricity based on real data.
Considering carbon trade, if energy reduction can be converted to carbon reduction of 0.3 kg/kwh based on Average Carbon Dioxide Emissions Rate issued by the MOHURD, facility users who installed GSHP may have 4.25 kg/year/m2 for carbon trade.
More real data should be collected for cost-effectiveness and the optimal levels of subsidies.
Although this study prioritized the factors affecting dissemination of GSHP, more data is needed to find the evidence of the policies which can demonstrate the dominant force in facilitating dissemination of GSHP systems.

At the same time the melting capacity of the furnaces ranges at the lower end according to the manufacturer's data.
Figure 3: Fluctuations of aluminum mass in the shaft The mentioned effects were confirmed by comparing measurement and manufacturer's data (Table 1): The analysis displays a 25 % higher specific energy consumption compared to manufacturer's data and a melting capacity of 3.68 t/h.
Table 1: Comparison of performance Specific energy consumption [kWh/t] Melting capacity [t/h] Manufacturer data + 25 % 3,5 - 4,5 Measured data 3,68 Improved charging management.
Nevertheless the validation on the basis of measured data is essential.
Overall, a good accordance between the simulation model and the measured data has been achieved.

The basic principles of data analysis were also outlined.
The magnetometer will get the data of the magnetic field.
Via the data, the pipeline can be located.
Data analyzing An actual detecting data graph is shown inFig. 3.
As it is been seen, there are several data escapes in the graph.

State function reflects the relationship between observed data and label, we assume that the pixels are independent; the feature vector data of observed datadetermines the label value.
One main advantage of probabilistic approaches to image labeling is that the model parameters can be learned from data automatically and systematically.
We randomly selected 60% images as training data, 20% image as validation data, and use the remaining 20% images for testing.
More general tree-structured random fields, feature induction methods, and further natural data evaluations will also be investigated.
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data.

One of the major limitations in W2W control is on the metrology delay data.
In this paper, the VM system is for predicting the metrology data.
Virtual Metrology System The virtual metrology system is developed for predicting the response data without recourse to actual measurements.
In such cases, the PLS technique should be practically useful since they are capable of dealing with multicollinearity data.
Different data analysis techniques such as time series analysis can be studied instead.

Reading off the data, the charge-to-breakdown for inducing 50% failure was approximately QBD(50%) = 0.035 C/cm2 for OSC and = 50 C/cm2 for OS.
Moreover, ignoring the minimum data, all the QBD values were distributed within a factor of ten.
Reduction Guideline.
A QBD(50%) value of 64 C/cm2 was abstracted from the data.
Surprisingly, the best data of all were obtained in this series of experiments.

Cr(VI) reduction to Cr(III), Fe(III) reduction to Fe(II).
A computer using a multi-function data acquisition card performs the control.
A homemade program processes data also, thus the measurement result can be received very quickly, while fast and accurate picture of the measuring process can be obtained during the whole titration.
For monitoring the change of surface layer of the working electrode without physical intervention, the fitting of the measured data to an exponential function is proved to be a convenient tool.
Evaluating the data it can be established that the peaks appeared in the Figure show the measurement of halide ions in an amount, which corresponds, to 588 pg Cl- .

The study successfully aligns FEM simulation results with experimental data, thereby enhancing the accuracy of friction factor estimations and visualizing material behavior under various lubrication conditions.
C Si Mn Cu Cr Ni P S Mo 0.4671 0.1940 0.6730 0.1780 0.1100 0.0682 0.0265 0.0214 0.0155 For the data material flow stress.
To calculate the friction factor using calibration curves, use the percentage of reduction in internal diameter (%RID) and the percentage of reduction in height (%RIH) with the provided Eq. 2 and Eq. 3.
All material data were given as a function of temperature, strain rate, and strain.
This table incorporates data derived from the predictive calibration curve generated through FEM simulations, providing valuable insights into the predictive capabilities of the FEM model in relation to the experimental results.

According to transmission electron microscopy and ultraviolet-visible spectroscopy data, an average size of the particles in colloids was ~ 5 nm for CdS and 2-10 nm for Ag.
The color change was due to the formation of stable colloid of small particles of silver oxide (Ag2O), according to the reaction: 2AgNO3 + 2NaOH → Ag2O↓ + 2NaNO3 + H2O At the same time sodium hydroxide was formed as a product of hydrolysis of sodium metasilicate in water: Na2SiO3 + HOH = NaHSiO3 + NaOH (I stage) NaHSiO3 + HOH = H2SiO3 + NaOH (II stage) After reaction of NaBH4 with the colloids of Ag2O, silver reduction occurred [6]: Ag2O + BH4-+ 6OH- = 2Ag + BO2- + 5H2O + 6e- Fig. 2 (curve 1) shows the absorbance spectrum of Ag2O/SiO32- colloids.
It is worth noting, that observable color of both solutions – before and after the reduction of silver – was dark brown.
The spectroscopic data were confirmed by TEM.
The data on particle size obtained from exciton absorbance data was confirmed by TEM, which showed particle size of 5 nm.

Establishment of the three-dimensional dynamic monitoring model Data reduction.
Data process and analyze data according to GMS software requirements and set the data type for the BoreholeData.
In order to achieve water resources' dynamic observation , the groundwater level and water data of the model need to be updated in real time.
By real-time collecting groundwater data and automatically replacing original data in three-dimensional groundwater model, realize the underground water information’s automatic updating, so that you can real-time master the change of groundwater level and the exploitation and utilization of water resources.
Nanjing: Nanjing Nomal University. 2008.5 [2] Wang Miao, Chen Hen, Zhang Liling. 3D Strata Modeling and Visualization Research Based on Borehole Data and GMS [J].