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Forty evaluation indexes are storage and mining ratio, transport capacity, impact factor of change suddenly, fluctuation rate of price, SO reduction rate and so on.
demand ratio Energy supply and demand ratio Supply and demand ratio Supply and demand ratio Growth rate of consumption Storage and mining ratio Stocks Storage time Balance degree of regional supply and demand Energy self-sufficiency rate Resource rating Dependence degree of import Growth rate of Per capita electricity consumption Growth rate of energy consumption Balance degree of regional supply and demand Balance degree of supply and demand Transportation Transport capacity Safe degree of import transport Grid transmission capacity Safe degree of energy transport The affect of change suddenly Impact factor of change suddenly Impact factor of change suddenly Impact factor of negative charge Impact factor of energy change suddenly Economic security Fluctuation rate of price Fluctuation rate of price Fluctuation rate of price Elastic coefficient of energy consumption Foreign exchange reserve Technology energy-saving rate Growth rate of renewable energy Ecological environment SO reduction
rate SO reduction rate SO reduction rate Environmental carrying capacity CO emission growth rate CO emission growth rate The degree of environmental pollution Conclusion The evaluation of energy security is a comprehensive, complex and multidisciplinary problem, so, it is a vast project to structure the evaluation index system of energy security.
This process will need not only a large number of fundamental data, but also model prediction and system simulation to process the data, so that the accuracy and authority of the system will be ensured, this is also the next step we will work mainly.

At the same time, the drying rate and moisture content data were performed using linear and non-linear regression analysis to estimate a suitable model.
Therefore, the sludge incineration is the most effective way for harmlessness and reduction disposal.
Reduction of energy usage in drying of sludge is a major concern among environmentalists in terms of reducing greenhouse gas (GHG) emissions.
Drying patterns for EHD, hot air and ambient air drying of sludge The EHD experimental data of moisture content obtained at different time were predicted by were predicted by linear and non-linear regression analysis using SPSS computer program, the following exponential equation was found to express the drying rate: (1) where y is the moisture content of sludge in %, t is the drying time in h.
The drying curves of sludge treated by EHD with different voltage values The experimental data of drying rate obtained at different drying voltage were performed for all five drying models, and, the drying constants and the values of R, R2 and S were given in Table 2.

In these methods, the vibration data are first pre-processed to obtain a reduced feature vector that contains the key characteristics of the original data.
Both techniques show that the spectral data for the repaired bridges are significantly different from the data for the undamaged structures, which is expected given the nature of the repair.
incoherent frequency shift The same ANN as used on the experimental data was also used to classify the simulated data, although it was retrained using a subset of the simulated data for the undamaged and fully damaged cases.
As in the experimental data there was no confusion when the ANN was used to classify test data from these two extremes.
The problem of identifying data sets that differ significantly from an original undamaged data set, the novelty detection problem, requires a different approach to training the ANN (unsupervised learning) and these methods are currently being applied to the data sets to achieve this.

In addition, ratings indicators are much more indicators, which in turn will increase the difficulty in the work of data collection and arrangement.
Sample selection: Choose 38 Hotels in Beijing, Guangzhou, Nanjing, Ningbo and so on as the object of research, 8 hotels of which as verification set data, 30 as test set data (W1, W2, ...
W30) Data Collection: 150 survey questionnaires were distributed, and 139 available questionnaires were retrieved which resulted in 97.3% sample return and 92.6% the ratio of callback of valid questionnaire.
After careful interviewing, ultimately determine W20 as the Autocracy type of TMT, and W10 and W29 as democratic type of TMT. 3.2 Data processing and analysis 3.2.1 Test of Reliability and validity of Indexes’ system BY use of Cronbach α-reliability coefficient assessing the credibility, after the original data are standardized, then put it in the formula testing reliability and validity, calculated result as shown in Table 2.
Weight coefficient matrix of indicators multiply the corresponding value of the research data standardized, the value obtained is based on the one based on Rough Set.

They are compared with those of virgin specimens, showing significant increase of hardness, tensile and yield strength and remarkable reduction of elongation and ductility for shocked specimens.
Typical measurement results of Vickers microhardness distributions in the cross-section of a recovered specimen plate of A2017/TP10MT10 5[mm] EEEExxxxppppllll oooossssiiii vvvveeee(((( PPPPEEEETTTTNNNN)))) SSSSiiii ddddeeee Center 0 5 10 15 20 25 120 130 140 150 160 170 180 190 200 Location from center [mm] Hv 185.1 164.3 186.3 166.7 185.7 165.7 186.9 163.8 191.7 176.6 199.3 178.9 Average data Experiments Average data of virgin material A2017-T4 TP10MT10 Figure 4.
In the tensile tests, tensile strength Bσ , elongation λ and reduction of area ϕ (RA) were obtained measuring breaking load, elongated length between two Vickers indentations with distances of gauge length L and section area, which showed very small reduction as shown in Fig. 6(a).
Figure 8 represents all the data of fracture ductility fε and proof stress 2.0σ obtained from the tensile and compressional tests for shock-loaded specimens of A2017, A2017 (AT attached) and 304SS.
It is noticeable that this tendency almost corresponds with the data of Fig. 8, where the ratio of the products of fεσ ⋅2.0 in Eq. 4 of precompressed specimens to those for virgin materials are 63.9% (A2017), 84.6% (A2017/AT-attached) and 122.4% (304SS), although cylinder fragmentation phenomenon must be affected by some other factors.

Methodology In general, methodology played a major role to find the validity of the data.
In this work, the data was collected through survey questionnaires circulated to about ten various levels of people amounting to sixty three numbers and working in different automotive manufacturing industries in Tamilnadu.
The first stream of research uses survey data to explore the impact of lean production practices on industrial performance between lean activities that occur at different intervals based on turnover rate, employee training and customer satisfaction percentage, lean activity occurrences interval and delivery defect rate.
The hypothetical relations between various issues are tested with data collected from different automobile manufacturing industries located in Tamilnadu.
Reduction of the defect rate leads to the productivity enhancement in the industries.

Empirical analysis a) Sample data selection This paper chooses China's total energy consumption (in million of tons of standard coal) and carbon dioxide emissions (in thousand of tons) data from 1978 to 2010 as the sample data.
The raw data of energy consumption is from Year 2010 Edition of China Statistical Yearbook while the 1978-2008 data of CO2 emissions is from the World Bank database2 and the 2008-2010 CO2 emissions from Wikipedia3.
In the simple total average method, all the data of the past are equally used.
The moving average rule does not take into account longer-term data, and the weighted moving average method gives more weight to the near-term data.
This paper finds that the Holt-Winter non-seasonal model better fit the original data by comparison.

Then the entire assembly is rolled under a small reduction when heated to bonding temperature.
In rolling-diffusion bonding process, reduction is a key parameter influencing interface bonding strength.
Theoretical calculations were performed with above mathematical models, and the computation results were compared with experimental data. 1.
The microstructure obtained at the bonding region under reduction 13.1% for 30min is shown in Fig.2.
Vol. 40(1995), p.181 [14] H Mehrer: Numerical Data and Functional Relationships in Science and Technology ( Druckhaus Langenscheidt KG, Belin 1990)

For the 30% glass replacement was applied there was a reduction in the compressive strength at both ages 7-day and 28 day ages, as for 7-day age the reduction was 6.39% whereas at 28-day age the reduction in compressive strength was 8.8%.
The reduction is compressive strength can be explained as a result of two causes; the first cause is that the glass wastes has smooth surface compared to the normal aggregates and that leads to the decreased bond between the particles and the cement matrix and with increasing the percentage of glass the reduction in the compressive strength increases.
But overall, the reduction in compressive strength can be considered as insignificant one as the highest reduction percentage was less than 10% ( at 30% replacement ratio).
Compressive strength at 7-day age Type of specimen Weight (kg) Compression Test (KN) Compressive stress (MPa) Average (MPa) Control 8.200 567 25.25 23.77 8.032 532 23.64 8.11 505 22.44 10% Replacement 8.396 582 25.86 25.77 8.264 568 25.24 8.242 587 26.08 20% Replacement 8.170 567 25.2 25.35 8.249 592 26.31 8.240 549 24.4 30% Replacement 8.196 522 23.2 22.25 7.988 448 19.91 8.146 532 23.64 Although there was a reduction in the compressive strength for all mixes with glass wastes, but the reduction was minor as the maximum reduction occurred did not exceed 10%.
Sadiq (2018), “Experimental data on flexural strength of reinforced concrete elements with waste glass particles as partial replacement for fine aggregate”, Data in Brief Journal, Vol. 18, pp. 846-859

Two main outputs are ECCC data sheets and ECCC Recommendation Volumes.
Moreover, the test data are often sparse at low temperatures.
The resulting 2017 data set had collected test results 48 heats at temperatures range 550-700°C, with test-data extending to 150kh (failed) and ≈200kh (un-failed).
During the last 20 years, many materials have been considered, in terms of experimental data production, data collation and assessment, and microstructural characterization.
Further data collation aimed to full assessment ongoing [3].