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The evaluation result provides the basis data for the decision maker to establish the carbon emission reduction policy by analyzing the I/O performance of the total casting process.
According to the data base of Simpro7.1 and the investigate data, the energy consumption of exploiting, transporting and processing raw sand are shown in Table. 2.
According to the statistical data of 2004 International Energy Council, if the solar energy is used to alternative the coke, the carbon emission would be reduced by 98%.
The results show that the new energy for the realization of energy saving and emission reduction is of great significance, and development of new energy and applications will be one of the most important research areas of low carbon manufacturing.
This research is designed to achieve low-carbon casting exploratory study, because most of the data from the statistical data, literature, software and on-site which lacks of uniform standards and values ​​range, and the actual energy consumption of casting process is closely related to technological level of production, how to get reliable data basis for the calculation and carbon emission corresponding with realistic production system will be the focus of follow-up study.

The sampling frequency of strain, force and temperature data was set to 10 Hz.
Strain Based Evaluation of the Experimental Data.
Based on the Coffin-Manson model, the material parameters are shown in Table 4, which were obtained by fitting to the experimental data.
The calculation were carried out by the numerical integration of the strain-stress data (hysteresis curves) shown in Fig. 4.
The results were evaluated based on Coffin-Manson model and derived the parameters for both material, by curve fitting to the experimental data. 3.

Introduction A ecumenic image is comprised by substantive data and they have high correlation in these images.
In addition to generic image data also have other redundancy message, for example information entropy redundancy, structural redundancy, knowledge redundancy and visual redundancy.
Diversified method of image condensation Data compression is divided into reversible compression and irreversible compression. reversible compression is redundancy reduction, irreversible compression is entropy squeezing.
Data is regarded the combine of message and redundancy.
The loss compression methods of current medical image data contain adaptive predictive coding scheme, discrete cosine transform (DCT), sub-band coding and vector quantization (VQ).

Data were used to identify the development of damage, VP and VE in the 90-layer.
The damage effect is much smaller than the experimentally observed curvature reduction.
Irreversible VP shear strains are known to develop in composites [2] but there is not much data for transverse loading.
The data and the best fit with parameters B=0.018 and β=1.5 are shown in Fig. 3a.
Figure 3 Viscoelastic strains in [0,90] specimens after tensile loading: a) test data and fitting in the T+D+VP+VE case; b) VE-strain development in tensile loading.

As a result, the methods have stronger dependence on the data feature.
Wu is to generate a new class of training samples by genetic crossover operation and the reconstruction method that is converts imbalance data sets to balance data set [12].
First carries on the preliminary training by the standard SVM and get the normal vector with the project high-dimensional data to get a-dimensional vector data.
Intelligent Data Analysis, Vol. 6 (2002), p. 429–449
IEEE Transaction on Knowledge and Data Engineering, Vol. 18(2006), p. 63-77

Literature data on global dynamics of total number of commissioned proton and heavy ion therapy devices in 2005–2028 (data with asterisks were obtained taking into account facilities under construction or in planning stage).
Composition data are listed in Table 3.
Experimental data on selectivity of combinations for various contents of CuO.
Experimental data on selectivity index RT CnO of 25 anticancer combinations with various content of CuO nanoparticles.
Experimental data on selectivity of combinations for various contents of ZnO.

It can process information extremely rapidly and provide meaningful answers even when the data to be processed include errors or are incomplete [5].
Experimental data were divided into two sets, one for the network learning called learning or training samples and the other for testing called testing samples.
Tab.2 Part of experimental data for training neural network No.
The expression of relative error is as follows: , (1) where denotes the relative error, denotes the output data of shrinkage model based on BP neural network , denotes the test data of shrinkage experiment.
The 18 testing vectors of data were used to test the accuracy of prediction (Ac).

The effectiveness of a CMMS depends on how well the software accomplishes this integration, the acceptance of the user community, and the quality of the maintenance data loaded into the CMMS [14].
The ability to collect and store data concerning all activities of the maintenance, supervision and repair of machinery and equipment. 2.
Data collection and settlement of maintenance and repair costs using a special statistical reporting, according to the places of their origin (contractor and a services customer) and their types. 5.
Collection and control of basic data, especially: places of cost creation, materials, workplaces, means of production.
The offer of choice of software does not mention the problems with implementations in companies, but the software is constantly improved, which means that data from several years ago may already be out of date.

The convergence graphs have been plotted in Minitab software to justify the reduction in iterations.
They have used ANOVA method for the analysis of the data and conclusion of results.
The next step is to calculate the data from the experiments by analysis and then measuring the different responses.
These mathematical relations are formed by using factorial fit analysis of the data from experimental work.
The output (response) data for MRR and Surface Roughness is shown in Table 3.

To enlarge the strength of the propelling energy reduction, the Ministry of treasury and the Ministry of Housing and Urban Construction released a public building energy-saving objectives, and that is to pull off the decline of unit area of public building energy consumption in 10%, and energy consumption of large public building reduction in 15%, which manifests our determination of the government further strengthened to control public buildings energy consumption.
The data collected will be used to mean matter-element R
The data indicates that all targets are in line with the degree of evaluation rating.