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It explores the role of digital tools and real-time data management systems in supporting data-driven decision-making and operational control.
Among the most impactful technologies are data analytics and machine learning (ML), which allow companies to process large volumes of data across production, geological, and financial domains.
This data is locally processed before being transmitted to the cloud for advanced analysis.
All reporting data are compiled automatically and securely by the system, which minimizes the risk of manual errors or data manipulation.
Digital Twin-Driven Product Design, Manufacturing and Service with Big Data.

Finally, this article puts forward energy policies for ensuring economic growth and simultaneously achieving emission reduction and energy conversation.
Guangdong province's rapid economic growth makes the time-series data non-stationary and the traditional OLS estimation may not be applicable to estimating long-term model.
All data used in the co-integration model locate within the period from 1978 to 2009 and are collected from National Bureau of Statistics of China.
The empirical results are provided as follows, and data in brackets are the t statistics
Du (2010) analyzed the main impact factors of China's CO2 emission through static and dynamic panel data econometrics and results showed that the industrial structure, ratio of urbanization and energy consumption structure have significant positive impact on China's CO2 emission.

Fig.1 Real-time network forensics model based on Data Mining Data mining is mining useful information or knowledge from the data.
Generally, the raw data has characteristics of massive, incomplete, noisy, fuzzy and random data.
Implementation of data mining generally includes problem definition, data acquisition, data preprocessing, data mining, implementation and evaluation of the effectiveness of the data mining steps in this.The second step is to obtain data and preprocess.
In order to simulate the experimental convenience, we take 10% of the data set of 10,000 training data set to pass data dimensionality reduction, training, generating rules.
So that the proportion of normal data are 99%, According with normal network data features.

In the meantime, there have been fewer studies on sediment-reduction mechanism on the earth road.
As a result, it would show that the sediment-reduction mechanism of herbaceous plants on the earth road thus laying down a foundation for setting up sediment-reduction models for plant-growing road.
The experimental parameters Hydrodynamic characters of runoff in the different surface sections of the earth roads with the different coverage degrees C(%) Fr Re ε/cm f n (×10-2) 0 2.46 74.16 0.16 0.38 1.91 30 2.05 65.39 0.14 0.52 2.24 40 1.72 64.96 0.12 0.74 2.71 50 1.65 58.13 0.11 0.79 2.79 60 1.55 53.65 0.10 0.91 2.99 70 1.33 51.99 0.09 1.22 3.51 Data Processing.
It can be seen from Table 4 that compared with the sediment reductions on the bare earth road there were remarkable sediment reductions as high as 76% on the plant-growing roads, which is very similar to the research results obtained by Grace (2000).
It follows that planted on earth-road surface, herbaceous plants are capable of water and soil conservation but the sediment reductions were remarkably higher than runoff reductions on the plant-growing roads.

The advantages: from the local data on the characteristics of the construction, from the global mapping of data on [4- 6].
Obviously, to the narrow the distance between the similar data in this way and contribute the neighborhood of the similar data.
Then, and then Isomap, SIsomap algorithm sets the experimental data dimensionality reduction, reuse classifier dimensionality reduction of low-dimensional coordinates of classification, to be its corresponding recognition rate.
Since the data set to join the outliers, compared to after Isomap, SIsomap dimensionality reduction of experimental data dimensionality reduction algorithm with SIsomap low-dimensional embedding result, the recognition rate is significantly higher than Isomap algorithms are used 1_NN classifier NFL classifier or use, are able to get the same results.
Through definitions, SIsomap same algorithm can be the sample data points and heterogeneous region of good data points, two data points corresponding to the different distance metrics can be fully distributed in a different interval, and thus the same data and the heterogeneous data accurately distinguish.

All cyclic voltammograms data were acquired using Electrochemical workstation (CHI660B).
Fig 2 SEM micrographs of organic-inorganic perovskite hybrid Electrochemical Oxidization and Reduction.
The reduction and oxidation potential of phenosafranine on CPE (Figure 3b) are 667.3 mV and -81.2 mV.
Figure 4 shows the reduction peak current of the hybrid on electrode can be affected by the value of pH.
The reduction peak current decreases with the increase of the value of pH, covering linear range from 1.0 to 6.0.

Simulation data, Tennessee Eastman and hot rolling process data are used for model validation.
In both daily life and professions, we are bombarded with huge amount of data, but most often not data but the information behind data is our primary interest [1].
Considering is a dataset containing data points with features, the ith row of denotes the ith data points and denotes the jth feature of the data point .
Ring data set.
We select 100 process data from the normal data and the first two fault data respectively, as the original data.

What is the difference among different environmental tax for greenhouse gas emission reduction?
Table 1 Research directions and hot issues Research Directions Hot Issues Impact Analysis of Environmental Policies on the Economy and Social System 1) How to achieve the emission reduction targets. 2) Social cost of achieve emission reduction targets. 3) Emission reduction policies lead to carbon leakage. 4) Cross-border effects of environmental policy. 5) Emission reduction effect of different environmental policy, etc.
Energy Prices, Energy Consumption Structure 1) The impact of changes in energy prices on economy and society. 2) The impact of changes in energy prices on energy conservation and emission reduction, etc.
With the development of statistical datum’s precision and integrity at the regional and industry level, middle level analysis will provide a vast arena for CGE model.
The Economic Impact of Water Taxes: A Computable General Equilibrium Analysis with an International Data Set[J].

Crack under the embankment deformation and failure to carry out deep displacement monitoring data, according to the severity of slope disease divided three districts: District A relatively unstable, mileage K28 +360 ~ +560, length of 200meters, are filling the road embankment sections, existing local signs of deformation and failure; zone B of instability and severe disease, mileage K28 +560 ~ K28 +810, 250meters in length, are Cut and Fill steep road embankment sections, have been found to severe deformation and failure; C area is relatively unstable region, mileage K28 +810 ~ +860, length 50meters, is a semi-Cut and Fill steep road embankment sections.
The numerical strength reduction Slope stability analysis.
Soil strength reduction factor K take from 1 to 0.8.
Slope stability analysis by strength reduction[J].
Stability analysis on jointed rock slope by strength reduction FEM [J].

Several studies have produced estimates on the influence of rolling parameters [4, 5, 6], but there is still insufficient data for complete understanding of the limits of influence of process variables.
The EBSD data were acquired in a rectangular scan grid with a step size of 0.2µm and post processed with OIM-TSL® Data analysis version 4.6 software.
ACC ↗ Increasing reduction per pass ↘Decreasing reduction per pass 10%-21%-32%-35% 35%-32%-21%-10% High FRT Low FRT Fig. 1 Grain boundary maps of: (a) schedule I, (b) schedule III, (c) schedule (II), (d) schedule (IV) showing HAGB >15° misorientation (black) and LAGB >2- 15° (white) Figures 3 and 4 show grain size distribution maps obtained by the EBSD data.
Air ↗ Increasing reduction per pass ↘Decreasing reduction per pass 10%-21%-32%-35% 35%-32%-21%-10% High FRT Low FRT Fig. 2 Grain boundary maps of: (a) schedule V, (b) schedule VII, (c) schedule (VI), (d) schedule (VIII) showing HAGB >15° misorientation (black) and LAGB >2- 15° (white) From this data (Figs. 3 and 4) one can see that in general high FRT resulted in the prevalent presence of large grain size clusters.
The most striking observation which emerged from the data comparison (route V vs. route VII) and (route II vs. route IV) was that although the change from decreasing to increasing reduction per pass corresponded to a grain size refinement, no improvement in the yield and tensile strength was measured.