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General thought of design, control processes of data, modules and functions of system is introduced.
Investigation of historical information The actual energy consumption test Theoretical calculation of thermal performance Whether renovation Energy evaluation of existing building phase Target of energy-saving Analysis of economic benefits Envelope data model Optimization of renovation program Development and optimization program phase Heating system data model Comparative feasibility model Duery of demonstration projects and standard Whether feasibility Technical efficiency model Social benefits model Transmission and distribution system Heat metering systems Heat sources Energy saving benefit Dynamic payback period Save money、 protect environment Analysis report of energy-saving effect Index calculation of renovation program Floor Windows and doors Wall Stairways Roof Balcony The basic information data of building Historical information Test data Evaluation of building energy consumption Historical repair information Test data Design information
For data of existing projects can be transferred by click on the “read data” button.
Test data of a building is entered and then calculated, calculation methods and assessment based on “Standard for energy efficiency test of residential buildings” [4].
Social and economic benefits include: total saves money of society, and carbon dioxide, sulfur dioxide, nitrogen dioxide, total suspended particulate matter reduction of social benefits.

In order to establish the type of band-to-band transition present in these LDZ powders, the absorbance data of the DRS spectra was fitted into equations for both indirect and direct BG transitions [32,33].
Using the Eq. (3) and the data of Table 3, the initial degradation rates (r) of MB over Al (0.5%) and Li (0.2 to 2%) co-doped ZnO catalyst formed at 450°C for 5 h were calculated.
It can be clearly seen from the data of Table 3 that with the increase of MB concentration in the reaction mixture from 0.01 mM to 0.02 mM, the initial degradation rate (r) value is increased, and when the concentration increased from 0.02 mM to 0.03 mM, this r value is either decreased or remained same (within the experimental error).
The data of Table 3 indicates that 0.03 mM is the concentration that blocks the surface of the catalyst from light irradiation.
Considering this effect, initial concentrations were plotted vs. 1/kobs using the data of only 0.01 and 0.02 mM MB solutions to find out the values of Kads and k values from the data of slopes and intercepts with the help of equation 5.

Result shows that the built model matches well with the training sample data and thus confirms the effectiveness of the model.
The complexity of dynamic aerodynamic characteristic at this stage and the restriction from training data result in the poor capacity of the model to capture aerodynamic rules.
Thus, in order to obtain more precise prediction results, the scale of the training sample must be enlarged to enhance the training data range.
It can be seen that the simulation results are close to the test data and a good fitting can be seen.
However, too many input parameters and oversize data may result in the reduction of learning convergence rate of the network.

Principal component analysis (PCA) is a well-known statistical processing technique that allows to study the correlations among components of multivariate data and to reduce redundancy by projecting the data over a preferred orientation basis [5].
The central idea of principal component analysis is to reduce the dimension of a data set within which there are a large number of interrelated variables, while retaining the variations present in the data set.
These matrices, T and P capture the essential data patterns of X.
In order to make sure the shape prediction model is applicable for most kinds of rolling conditions, the data of 35 coils of strips, including 12740-measured point values, were selected from the strips rolled in one month as training data.
In addition, the values of 12 coils of strips, including 5187-measured point values, were selected as testing data that is different with the training data.

After finishing the adhesion reduction, cracks on the surface and cross- sections of coatings was not observed.
Metallographic study showed reduction in the porousness of the alloy and composite coatings subjected to plastic working (refer with: Fig. 1).
The applied methods of plastic working as coatings finishing allowed for significant reduction of the value of considered the parameter.
Potentiostatic polarization curves for composite coatings Ni-Al-15%Al2O3 after plastic working 1 - pressing 2 - rolling Concluding remarks The based on experimental data states that the ceramic dispersion content in the composite coating has a significant effect on strengthening and quality of the coating subjected to plastic working.

a. a-� curve 13 15 17 19 21 23 25 27 29 31 33 0 200000 400000 600000 800000 1000000 � (cycles) a (mm) b. da /d� -∆K data 1.0E-08 1.0E-07 1.0E-06 1.0E-05 1.0E-04 1.0E-03 1.0E-02 0 10 20 30 40 ∆K (MPa.m^0.5) da /d� (mm/cycle) Fig. 2 Test a-� and da/d�-∆K data for the present material.
Test a-� and da/d�-∆K data are given in Fig. 2.
Considering the scattered da/d�-∆K data, the modeling is best in the terms of probabilistic manner.
solving the test data.
Differently, it is very simple to need only the test data from conventional fatigue cracking thresholds, growth rates, and fracture roughness values.

To demonstrate its accuracy and usefulness, this paper compares the proposed algorithm with collaborative filtering algorithm using data from MovieLens.
Huang [7] comes up with dynamic programming method in a more extensive data set.
Problem Description and Similarity Calculation A recommender system mainly includes three types of data.
The definition of the corresponding data is as follows.
Numerical Results In the experimental stage, we use MovieLens data set to assess the performance of the improved recommendation algorithm based on graph model, including 1682 movies and 943 users.

The growing concentration of industrial enterprises situated on urban areas, the uncontrolled increase in the scale of development, reduction the share of the recreational areas, replacing the areas of industrial purpose and new lines of transport and engineering service lines, has led to imbalance of technogenic and natural environment.
General view of the proposed model is: (1) (2) (3) (4) Here, F(t) is the objective function optimization, which was formed on the basis of factor analysis of data of the development the investment potentials of the three typical large cities of Russia: Kursk, Belgorod, Tambov.

We compare the latest TLS experimental data resulting from fully processed 4H-SiC wafers with results obtained by mechanical dicing technology.
In Fig.6 results of throughput calculations of an industrial TLS tool (handling and alignment is considered) and throughput data from a mechanical blade dicing process are compared.
Fig. 6: Throughput calculations of an industry TLS-Tool compared with throughput data from a mechanical blade dicer for different chip dimensions (Wafer diameter: 150 mm).
This results in a reduction in process costs and in an increased uptime.

Furthermore, the new method, together with ACI318, ACI440 and GB50010 ones, are verified by nine test beams in three existing experiment and show a good agreement with the experimental data.
Based on the equations for deflection predicted in ACI318[4], a set of modified equations for FRP bars was provided in ACI440[5] and validated by a great deal of experimental data heretofore.
ACI440 approach Taking into account the tension stiffening effect, ACI440.1R-03[5] suggest the use of a modified version of the Branson formation as follows: (6) where the reduction factor bd equal to (7) where ab is the bond-dependent coefficient, Ef is the modulus of elasticity of FRP reinforcement and Es is the modulus of elasticity of steel reinforcement.
Fig. 2 Comparison of the predicted mid-span deflection using different methods and experimental ones from Pecce’s experiment Fig.3 Comparison of the predicted mid-span deflection using different methods and experimental ones from Alsayed’s experiment Predicted deflection The Four methods were validated by the experimental data from nine existing test beam series and compared with experimental results simultaneously.