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Then a life cycle inventory was worked out and the data was characterized and normalized by CML analysis method.
The reliability, objectivity, rationality and timeliness of the data quality are very important.
Data Sources and Cut-off.
Data types include company fills, tripartite testing, post-measurement [14-15], sampling simulations, adjusted data, time averaging, and spatial averaging.
With a Fuzhou enterprise 2019 data research and later data integration, the main raw materials procurement and transportation data for the production of 1kg automobile laminated glass was obtained Table 1 is the input and output list of 1 m2 automobile laminated glass products.

Automotive operation data sharing has become a feature of the automotive network.
Data is sent in one direction of the ring.
All the data between the nodes in the network is transmitted through the central node
Any node can send data to other nodes at any time.
Gateway is used to accomplish the data exchange between them.

The output of CAM module – CL data – is imported into new software application as the basis of NC program.
Many CNC machines can be programmed on the shop floor, with the operator entering data at the control panel.
The data verification was realized on the part displayed in the Fig.5b.
The background where were data loaded and processed is displayed in the Fig.6.
The ground tasks for near future in focus of authors are: · Research for general format of process plan data

Analytic results are shown as follows：Firstly, the soil consolidation settlement model is built by the estimated soil parameters using the data of soil exploration.
We adopted the embankment data because of the integrated recorders.
The monitoring data from PR6-10 bridge pier subsidence was shown in Figure 2.
In order to facilitate data analysis, the settlement amount before June 5, 2003 (48.1cm) returns to zero. 98.4.23 Figure 3 Settlement curve in PR6-10 Figure 4 Settlement in phase 10 Analysis settlement.
We got conclusions are as follows basing on various soil parameters, construction conditions and monitoring data, and application of the Plaxis program: 1.

This allows to obtain the Preisach distribution function, without any special conditioning of the measured data, owing to the filtering capabilities of the neural network interpolators.
The model is validated through comparison and prediction of data collected from a typical Terfenol-D transducer.
This allows to obtain both Everett integrals and the Preisach distribution function, without any special conditioning of the measured data, owing to the filtering capabilities of the neural network interpolators.[4] The model is able to reconstruct both the magnetization relation and the Field-strain relation.
The model is validated through comparison and prediction of data collected from a typical Terfenol-D transducer.
The importance of reliable climatic data in the energy evaluation.

Fig. 4 Thin sills tested A sample made up of more than 100 data for each feature leads to significant results.
Data Analysis Sequent Depth Ratio for δ≤0.90.
Fig. 9 shows the experimental data and their adjustments.
Moreover, for each compactness ratio δ, on a given configuration of the jump, the experimental data follows the form Y=aFr1.
The experimental data are then located by Eq. 13

In the present investigation Co doped Sm2O3 nanostructures (NS) with different concentrations (1%, 3% and 8%) synthesized by thermal decomposition and surface reduction methods using sodium hydroxide as precipitating agent.
Incorporation of dopant Sb in the crystal structure results in better crystallization and reduction in cell parameter values [39-40].
XRD studies data as shown in Figure 2, investigated for average crystallite size, phase purity, crystal structure for undoped and Sm2O3 (8 wt.%) nanostructures.
Conclusions In conclusion, Co doped Sm2O3 (1%, 3% and 8%) NS have been prepared via simple thermal reduction synthesis.
Synthesis of Cs-Ag/Fe2O3 Nanoparticles Using Vitis labrusca Rachis Extract as Green Hybrid Nanocatalyst for the Reduction of Arylnitro Compounds.

It takes advantage of dimension reduction to comprehensively replace a large number of evaluation indexes by a few principal components, which contain the original index information.
The data in Table 4 are used to obtain a rough classification of environmentally sustainable development degree by cluster analysis.
(2) The principal component analysis is performed to determine the weight of each index by statistical analysis on the massive amount of sample data.
construction or influence on the historical sites nearby / Extent of Resource Consumption Land Occupation per Unit of Transport Capacity(B5) Quantitative where: indicates covering area of the capacity of unit transport, ; indicates permanent covering area, ; indicates designed traffic volume, ; indicates mileage of construction, m2žd/ kmžpcu Consumption of the Main Construction Materials per Unit of Transport Capacity(B6) Quantitative where: indicates consumption of resources with the capability of unit transport, ; indicates consumption of cement, steels and asphalt during construction, ; indicates designed traffic volume, ; indicates mileage of construction, . tžd/ kmžpcu Response Index (RIC) Prevention and Treatment of Environmental Pollution Processing Rate of Wastewater and Solid Waste (C1) Qualitative The processing of wastewater and solid waste during construction period could be evaluated from the treatment process, ways of removal and emissions reduction
The extent of the destruction of continuity of the natural landscape on both sides of the expressway and the erosion of the historical sites by the acid rain due to a large emissions of cars / Response Index (RIO) Protection and Treatment of Environmental Pollution Noise Reduction by Sound Barrier(F1) Qualitative Reasonability of the established measures for noise reduction and the proportion of the created sound barriers to the total barriers that should be set up / Treatment Rate of Wasterwater and Solid Waste in Service Area(F2) Qualitative The processing of wastewater and solid waste in service area could be measured in terms of treatment process, ways of removal and pollution emission reduction. / Response to Ecological Influence The Number of Passages for Animals(F3) Qualitative The response of ecological influence is measured by the number of passages for animals.

The multi-layer perceptron (MLP) of the neural network structure was trained to reveal the underlying pattern within the data sample.
The sample data was obtained from a sensitivity analysis drive from FEA.
A sensitivity analysis has been conducted to generate the sample data.
Sample data available was split in half for training and validation.
(Left) Meta-model ANN of the torque ripple output response ( black dots are the sampling data calculated during sensitivity analysis).

Several long-term meteorological data sets were used in this study.
The stations with missing data of more than one year will be excluded from the dataset and the daily data at 51 stations are analyzed in this study.
In some cases data was limited prior to 1970s, in which instances the means are more heavily influenced by data from those stations with the longest periods of record, i.e., Urumqi.
We first compared it with observed climatology of precipitation data set on yearly basis (Fig.2).
As the trend in both observed and simulated data are in the same direction allowing use of simulated daily data for future analysis of extremes indices.