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It provides data and mature management mode for seawall management.
Then the data is processed simply by using the function of the software to realize the visualization of distribution about seawall engineering and data system.
database of system and seawall data input database established data processing data analysis draw a conclusion safety warning Fig.2 A simple flowchart of ArcGIS application Data input.
In ArcGIS, each spatial data has its corresponding attribute table.
To quickly acquire these data, the data can be displayed directly on the diagram.

Graphical Hardware Description as a High-Level Design Entry Method for FPGA-based Data Acquisition Systems Christoph Landmann, M.Sc.1,a, Dr.
Process No. 1 reads updates from the FP through the terminals with every iteration and performs the operation according to the data flow.
During the execution, the Enable line is asserted first and the FF is enabled for synchronization (Data In Register).
The lower path represents the Enable chain and is used to determine, how many cycles are required to transfer the data through the network.
Both types implement a VHDL design in parallel to a LabVIEW FPGA VI that can run in different clock domains and share data.

DIT was extracted from the high frequency capacitance data by means of the Terman method [11].
The data in Fig. 4 shows DIT as a function of the energy position in the bandgap, Ec-Et.
The ConV data shown in Fig. 6 uses a constant voltage and allows projection of dielectric lifetime.
The data in Fig. 7 show the effect of a hold stress on the capacitance voltage characteristics.
The data in Fig. 8 shows Fowler Nordheim analysis of the high-field regions of J-E plots.

In order that the lateral comparison and analysis of the data of many cities and communities can be realized, the intelligent power consumption management platforms are considered to be constructed in the future which are in charge of receiving the data of different cities and intelligent communities and then storing and analyzing these data.
(2) Data Management.
The peak-valley price can be showed intuitively to the users through the data.
The data management contains data storage which means storing the collected data of intelligent power consumption master station in the data base and data analysis which means analyzing the users’ power consumption habits, the relationship between region load and users’ electrical load and the relationship between temperature and users electrical load.
The specific processes are operated as follows: first, the data are collected and stored into data base, and then the data of users’ present electricity consumption are sent on the intelligent interactive terminal by the analysis software so that the users can see the present electricity consumption in the house.

An example reinforced concrete elevated tank structure with flat top cylindrical container and shaft support is considered with the following data: height of shaft support = 30 m, mean diameter of shaft = 3 m, thickness of shaft wall = 0.125 m, inner height of the tank container = 4 m, mean diameter of the tank container = 10 m, thickness of the container wall = 0.2 m, thickness of the container bottom = 0.2 m, thickness of the top cover of the container = 0.2 m, grade of concrete = M25.
Based on these assumed data and considering the elevated water tank structure as a cantilever, the mass and stiffness of the structure are calculated for three cases - the full, half-full and empty conditions of the tank.
Figure 5 Comparison of response reduction between STLD and MTLD system over a range of percent tank full Response reduction by STLD system.
Response reduction by MTLD system.
Table 5 Frequencies, geometry and response reduction for 10-TLD system.

Fig. 3 shows the PolyMAX stabilization diagram for the reference data set S0.
The available data for each damage scenario are split in two equal parts.
The variances in Eq. 1 are estimated empirically using the available data.
Online (thus, using validation data), at each sample, the current VAFs are computed.
In this case, 2 s of data were used to identify a new model.

Therefore, in-depth analysis of decoupling between carbon emissions and economic development, to achieve energy-saving emission reduction in China, while maintaining economic growth has an important guiding significance.
Carbon emissions measurement and data description The literature indicate that the major factor of carbon emissions include economic growth, industrial structure, energy efficient, energy structure and so on.
The data were taken from China statistical yearbook and China energy statistical yearbook.
Therefore, China should vigorously develop and promote energy-saving technology, improve the carbon emission reduction technology, to further improve energy efficiency
And then, china government should play the leading role, encourage enterprises to introduce foreign advanced technology of low carbon, establish reasonable mechanism system, in order to realize the goal of emission reduction early.

The major disadvantage of these creep equations used in these calculations is that they require creep rupture strain data of the materials.
The creep test data is illustrated in Fig 2.
The material constants P, Q, n, et al used in creep-relaxation conversion model were derived from creep testing data.
The predicted results are compared with the data of stress relaxation tests conducted on bolting steel 1Cr10NiMoW2VNbN.
Wada: Collection and Uses for Relaxation Data in Design ( ASME, USA 1989), pp.15-19

The range of validity of the method is studied comparing results to experimental data.
The results will compare numerical to experimental data.
The total simulation time for spectral data comparisons is 0.5 seconds.
The post-processing for the experimental measurements data was performed with equivalent signal processing used for the computational simulation.
Results The comparison between the experimentally measured data and the CAA prediction is showed for a probe point by Figure 1.

In order to study the load-bearing properties of butt-welded connection of steel structure post fire, the strength design value of weld connection post-fire is proposed based on the experimental data and theoretical analysis.
Strength degradation regularity of the weld connection post fire is tested by the author and reduction coefficient for tensile strength of butt-welded connection is given in the reference [3,4].
When the reduction coefficient is used to check the strength of the weld connection post fire, the strength design value of weld connection and calculation method for strength of weld after high temperature are needed to be studied further more.
（10） Where, N ——The axial tensile or compressive force; lw ——Length of the weld; t ——The smaller thickness of connectors in butt-welded joint; The thickness of web in T-shaped joint; ——Reduction coefficient for tensile strength of butt-welded joint after high temperature cooling; ，——Design value of tensile, compressive strength of butt-welded connection before fire.