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In this paper, author have carried on many tests about PI film’ DC breakdown and flashover performance in room temperature and liquid nitrogen temperature, and get some useful test data.
From the table 1 and figure 1, we conclude that the data dispersity of PI film’ breakdown strength was lesser, it testified the insulated performance of PI film was stable.
The data dispersity of PI film’ breakdown strength showed increased trend with the temperature reduction, and PI film’ breakdown strength enhanced obviously, the breakdown strength of PI film which thickness is 0.025mm at 78K enhanced about 23.9% than at 300K.
After the third flashover, the value of flashover tended to stable value, and the data dispersity was very well.
Its breakdown strength in room temperature enhanced by a large margin than in the liquid nitrogen temperature, and the data dispersity of breakdown strength increased obviously in room temperature. 2.

Appropriate measurements have been given for the test data of the present material.
Table 1 Test S-N data of the present material.
Appropriate measurements have been given for the test data.
Only the test S-N data in MLLR and fatigue limits are used.
Appropriate measurements have been given for the test data.

According to the data offered by the Architecture and Building Institute, Ministry of The Interior in Taiwan, the amount of CO2 emissions in related construction industries occupies 30% of the total emissions for the entire country.
In these years, carbon reduction and green living are valued more and more.
Selection Indexes of Impacting Green Building Materials Sustainable Development Quality of Building Materials Design Consideration Selling Strategies Carbon Reduction Consideration Environmental Consideration Health Consideration Mandatory Provision Get Domestic Certification Get International Certification Pass the Laboratory Detection Data Used in Actual Cases Shape Texture Style Green Building Technology Selling Target Selling Price Company Brand Market Demand Fig. 1.
Next, having the function of carbon reduction (C1), passing the library test(C7), and having any benefit on selling price(C13) must be considered.
While considering the market requirement (C14), they will check the data (C8) used in practical cases and get the international certificate(C5), use the green building technology(C11) and mandatory provision (C4) as the premise of the design.

The value for the surface chloride concentration was identified from field data gathered on 321 bridge decks across the US [9].
A lognormal distribution was found to be a good fit to the simulated data with a mean of 8.9 years and standard deviation of 5.25 years.
Fig. 1 shows the reduction in the mean reinforcing steel cross section for the columns.
The abutment-backfill soil interaction is modelled following the recommendations by Shamsabadi et al. [16] whose modelling approach has been validated using experimental data on the lateral response of typical abutment systems.
Journal of Structural Engineering, 4 (2002) 526-533 [27] USGS, Hazards: Seismic Hazard Maps and Data.

Literature [6] introduced an assistant cluster head to transit data (ASCH).
The energy consumption is described as Equation (1): (1) Where it sends 1-bit data from node i to j, l is the length of data, is the energy consumption of 1 bit, and is the needed energy of power amplifying.
The second phase gathers data and processes data.
a) The Agent mental factor Definition1: confidence is defined as the ability of node to transform data and become the head node.
Figure 5 show that EACA achieves at most 16% reduction in energy compared with LEACH and 14% reduction in energy compared with ASCH.

Most of the information of the original data can be conserved in the new indexes, and the new indexes are independent.
So PCA is helpful In order to reveal the simple structure hidden behind the complex data.
That means a great deal of data samples should be wanted for a more objective experiment result.
But usually we have no way to large data sample.
Also the complicacy in processing data should be considered.

Traditional principal component analysis is a linear dimension reduction technique.
However, in the practical application, the indexes of the original data usually present nonlinear relationships and the dimension reduction effect of the principal component analysis is not ideal.
The data sample in the evaluation can be very small and the index of the original data can be nonlinear, so this method can have a wider applicability in solving most problems.
It can be applied to the evaluation study with few statistical data, large data grey, great data fluctuation or non-typical distribution regularity.
Table 1 shows the relevant data of the 24 cities in 2010.

Besides, the XRD data and the XPS data proved that after the heat-treatment, the crystal size and the crystallinity would have a huge growth and the content of phosphorus element on the surface of PBO-HM fibers would fall sharply.
The data results may appear to correspond well to the data of the strength test.
The data was listed on table 2.
It can be seen from the data that the higher the temperature was, the lower content of phosphoric was.
Through the FT-IR test, the data obtained was drew on Fig. 15.

Users’ potential needs are tapped while qualitative data are analyzed with SCAT qualitative tool.
Nagoya University Takashi Otani Professor summarized the analysis method of SCAT for qualitative data that is suitable for small-scale data,and discovered internal relation models through non-digital examination of the observed data[4].In this research,we will use the SCAT analysis tool.
Questionnaires will be designed after qualitative data about users’ goals and behaviors are collected.
SCAT qualitative data analysis tool.
The non-digital slicing analysis of its qualitative data with the application of SCAT qualitative tool is helpful to locate the internal relation models, suitable for the integration of data on a small scale, assist designers work out new design concepts.

Based on this data, the thermal behavior of the solar panel under such extreme environmental conditions is analyzed.
Consequently, the data strongly suggest that active cooling is essential for units facing these conditions, in order to maintain system efficiency and longevity.
Based on these findings, the study offers the following recommendations for future work: - Expand thermal analysis to include the influence of time-varying climatic variables using real, location-specific environmental data
Darwish, Impact of solar photovoltaic technology on GHGs reduction - a case study in Jordan, Nafta Gaz. 79(12) (2023) 809–813
Topič, Global Climate Data Processing and Mapping of Degradation Mechanisms and Degradation Rates of PV Modules.