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As for this, in the paper [7][8], field test data of corrosion were collected and a corrosion forecasting model was built by methods of BP artificial neural network.
The flow chart of the gradual optimization algorithm flowchart based on a neural network Case Analyses Principal Component of the Sample Data Analysis. 35 groups of sample data of carbon steel soil corrosion in different sites were selected.
In such manner, the dimension of input data was effectively reduced and 4 finally unrelated principal components were generated as the output samples of the neural network forecasting model.
(2) The 33 groups of data were divided into 11 groups randomly with K-fold Cross Validation.10 groups were taken as training data and the last one as validation data each time.
Selected the last 2 groups of data extracted by PCA as the test data, and used the ninth optimized neural network model to forecast the corrosion rate.

Subtle structural elements from high performance concrete (HPC) can be integrated into building envelope of energy efficient buildings with significant reduction of envelope structure and avoiding risk of thermal bridges.
Aggregated data of assessed impacts for compared alternatives V1 – V3 are calculated based on balance of input data of assessed alternatives and aggregated impact data of separate materials and processes of construction life phase.
Fig. 4 Aggregated data of assessed variants. 100% is represented by V1 (column from C30/37, solid cross section).

Related data show that the building of central air conditioning in operation load rate is low.
Meanwhile, it is not suitable adopting the way of the cable for the part of the data collection such as indoor temperature, humidity and other micro-meteorological environmental data.
The system can automatically collect data timed according to the user setting.
The specific function is user generated commands to the device through the interface of data acquisition, the system responds by calling the data acquisition interface devices to obtain data.
Discussion on the central air-conditioning energy saving and reduction of energy consumption [J].

DOTCLK/VCLK: Pixel clock signal sent by LCD controller, for the pixel data output.
VSYNC: Frame synchronization sent by LCD controller, meaning the start of a new frame data.
After data is transferred into GRAM, GRAM rank address pointer can be controlled through GRAM rank register to achieve partial refresh and the reduction of system overhead.
All the display data needs to be integrated in the data buffer memory regardless of GRAM-passing.
All the data display can be completed in the Panel on the basis of RBI program.

Surrogate models are very useful in replacing very accurate but time-consuming huge data numerical models.
The design of experiments factorial approach is used to analyze the obtained data.
Input data may be quantitative or qualitative, but the output response has to be quantitative.
More complicated variants appear when a model has mixed-type input data.
Analogically, the analysis of data related to properties of a surface layer modified by a laser beam [19, 20] leads to such huge data sets and complicated models that it is necessary to introduce surrogate models.

All data, C8051f340 commands are transferred through the SPI bus.
Whenever the clock chips to produce a data acquisition and pulse data acquisition, MCU enters the interrupt service routine.
When the SPI bus is idle, it is used for data acquisition.
Because the internal registers of the ATT7022A are not used in ferroelectric memory implementation, i.e. if the reduction, value will change registers saved.
The ATT7022A measurement data is wrong, need to watch.

An acceptable match was achieved between the experimental and model-predicted data.
Experimental data matching with Modeling data.
This strategic choice ensured that the model's performance could be thoroughly assessed under previously unseen data.
Empirical model validation with experimental data.
The developed model yielded acceptable results that matched the experimental data well and demonstrated an excellent fit during the validation process.

In order to perform numerical simulation, experimental data of Mokry et al. [2] is considered.
According to computational data, the heat transfer enhancement and heat transfer deterioration phenomenon of supercritical water were analyzed and based on the comparison with experimental data; their occurrence and mechanism were addressed. 1.
In order to get confidence of the present work, the experimental data of Yamagata et al. [1] has been used for simulation.
The simulation and validation of the present model against the experimental data of Yamagata et al. was performed (Figs. 1a and 1b).
All the cases listed in Table 1 have been simulated and the available experimental data from the literature is also compared with it.

And using XML to describe data is a feasible solution for users to use the data in different system.
HTML was designed to display data and used to display the appearance of data.
Therefore, in the Remote Monitoring System, we can use XML technique to transmit data, as well as display data on a web page.
Linux dynamic module loading makes Linux reduction very convenient; highly-modular components make it easier to add.
The advantages of XML are: XML can separate data from the HTML, XML can be used to exchange data, XML can be used to share data, XML can be used to store data, XML can make full use of data, XML data is available to more users.

Some of the simulation results have good agreement with the experimental data in this research.
Other interesting data will be measured and analyzed by us for future study and we will investigate them by using adaptive finite element method for increasing the precision of the computation results.
[11] Francesc Pozo, Mauricio Zapateiro, Leonardo Acho, Yolanda Vidal, Ningsu Luo, Experimental study of semiactive VSC techniques for vehicle vibration reduction, Journal of the Franklin Institute, Volume 350, Issue, Pages 1-181, February 2013