Search results

ArcGIS Server Eucalypt knowledge Site Data Spatial Data Knowledge Service Site Evaluation and planting suitability Variety Selection Weather Data Weather Data Weather data Service Interpolation algorithm Planting pattern Cultivation aim Planting scheme Eucalypt model Model Base Eco-benefit model Model Service Eco-benefit analysis Growth prediction Cash flow statement Interest analysis Knowledge base Spatial data Service Figure 1.
Data source layer deals with various data types and management.
Service layer provides eucalypt cultivation and management knowledge service, spatial data service, weather data service and model service.
Site condition data and sub compartment spatial data service were implemented by employing data service functionality of ArcGIS Server.
Design of forest management planning DSS for wildfire risk reduction.

Modern data center uses different equipments to support a large number of business systems.
Whether the resources scheduling of virtual machine can be realized has become a very important issue, which will reflect the data center’s management level of intelligence, intensiveness and automation.
Virtual machine resource scheduling mainly can be divided into load balancing scheduling and energy-saving and emission-reduction scheduling.
Variance denotes the average of square of subtraction of each data and average.

According to the degree of reduction of the influence on the elastic modulus of steel SHH15SG subjected to laser treatment, these factors are arranged in a sequence: W, Spr, and L.
The elastic modulus of materials is one of the main indicators used in the design of machines and mechanisms, so scientific data on its change depending on the laser treatment modes are relevant for almost all industries [20].
Feed Spr, [mm/s] Distance L, [mm] Elasticity modulus, [GPa] Hardness Code х1 х2 х3 Е Hv 1 5 25 85 199 627 2 2 25 85 182 195 3 5 10 85 189 478 4 2 10 85 179 602 5 5 25 60 184 349 6 2 25 60 177 324 7 5 10 60 194 441 8 2 10 60 171 302 Results The results of the experiment, shown in the two extreme right columns of the table, served as initial data for statistical processing and determination of multi-factor models of the elastic modulus and hardness of the treated surface layer.
(5) The implementation of the matrix of full factorial experiment, N= 2^3 = 8, aiming at the investigation of surface hardness of steel SHH15SG subjected to laser treatment, allowed to obtain the data presented in Tab.1.
Thus, as a result of statistical processing of experimental data, multi-factor models of the elastic modulus and hardness of the treated surface layer are obtained, on the basis of which the laser processing modes are controlled to ensure the required values of the steel SHH15SG parameters.

Hydraulic Model Experiment Experiment Conditions When the flow of traditional supersonic lance arrived at surface of pool, the Ma is only 0.71.With the reduction of lance-position the velocity of flow reached the surface increase, when the lance-position reduced to 60mm height, the flow reaching the surface Ma was 1.12, equivalent to the coherent lance-position was 160mm height[2].
The experiment was simulated 180T LBE , the geometric similar ratio is 10:1, the data is shown in Table 1.
Table 1 Prototype and model geometry Type Pool diameter (mm) Pool depth (mm) Number of holes of the lance(mm) Throat diameter of lance(mm) Export diameter （mm） Lance-position（mm） Prototype 1680 1688 4 34 44.2 1600 Model 168 168.8 1 2.6 4 160 According to the formulas mentioned above, 180t BOF-LBE data and main experimental parameters listed in table 2.
Table 2 180t BOF-LBE data and main experiment parameters Type Liquid in the pool Blowing gas Density of gases (Kg/m3) Density of liquid (Kg/m3) Flow rate of top lance （Nm3/h） Pressure of top lance (MPa) Prototype Molten steel Oxygen 1.43 7000 32000 1 Model Water Air 1.29 1000 42.0 0.796 Experimental Apparatus Experimental model of 180 t LBE the actual size of 1/10 of plexiglas device is shown in Figure.1.

The necessity of compressor network control Increasing investment, expand capacity, energy conservation and emissions reduction is to achieve faster and better development of our national economy.
Therefore, research and development of a new generation of compressor network control system, is one of the important topics of compressor industry, will have good market prospects. 2.The characteristics of the PLC control Industrial Ethernet control system based on PLC is one of the advanced control method in the field of industrial control, the control system by the distribution of PLC control system in industrial site to complete the automatic acquisition and processing of data, data were collected at the same time, through 10 m and 100 m industrial Ethernet quickly transmitted to a remote central control system (PC), in the monitoring center through the configuration software to realize the system control process display, alarm output, history curve generated, printing, and other functions, in the whole control system.
overload I0002 B# I0022 A# concentrated tank operation I0003 B# I0023 A#DCS the flow I0004 B# I0024 A#PLC ark to start I0005 B# I0025 A#DSC stop I0006 B# I0026 A#PLC ark to start I0007 B# I0027 A# gas automatic adjustment I0008 B# I0028 The system pressure low open the valve I00033 I0031 the standby The system pressure high close the valve I00034 I0032 the standby IC 200MDL 940A A# oil pump Q001 B# oil pump Q0011 A# Y- start Q002 B# Q0012 A# △-run Q003 B# Q0013 A# open valve Q004 B# Q0014 A# close valve Q005 B# Q0015 A# low oil pressure indicator Q006 B# Q0016 A# low Water pressure indicator Q007 B# Q0017 A# High exhaust temperature indicating Q008 B# Q0018 bell alarm Q0031 high system pressure indicator Q0033 fault parking instructions Q0032 low system pressure indicator Q0034 CME4.0 latest software system programming using Fanuc system, after the programming to compile, errors, on-line monitoring, programming personnel's convenient to check the internal external I/O status, and data

The test principle and data analysis We consider influence on the discharge current under the difference of velocity, that is with the variation of t, the changes of i(t) is shown as Figure 4.
However, as the speed reduction, the smaller the discharge current increases.
Fig.6 Level data value with speed at 3m/s Fig.7 Level data value with speed at 3.5m/s Comparing Figure 6 with Figure 7, the different interference distribution in different running speed can be seen, because the motor vehicle is in operation,the electromagnetic interference transport roadway enhanced obviously, in922MHz, when the motor speed is 3m/s, the interference standardvalue is 27, and the motor speed is 3.5m /s, interference standardvalue is 12, the speed of motor vehicles is slower, larger current discharge, electromagnetic interference value is larger.

When the frequency is increased to 100HZ, the value of dCp/dx is 1.0667, which indicates a further size reduction of the layer separation of the S-shaped inlet.
By using the identification toolbox of MATLAB, a second-order system is built with the data from calculation.
The red line represents the fitting result, and the blue line is corresponding to the calculated data.
The controller algorithm codes are downloaded to the target processor to execute, through the serial port, data can be exchanged between the Simulink and the processor.

Turned off the power after drilling and pressed the print button to print the data.
The basic formula of X-ray diffraction method to calculate residual stress is: (1) The experimental data obtained from Equation (1).
Improved data reduction for the deep hole method of residual stress measurement.

In this paper ,warm compaction process of molybdenum powder was simulated on and the data including stress field, density distribution and temperature field were obtained by thermal-mechanical coupling FEM method.
The range of stress from 961.7 to 1093 MPa agree with the data noted Mechanica Theory of Powder Processing[2] written by Liying Zhang and Chengyi Wu.
On the other hand, amplitude of pressure reduction is not very large in radial direction as influence of friction is not remarkable.
The data including relative density, stress field and temperature field can be accepted

Statistical data on wheelset abrasion show that the run of the oiled wheelsets is about 50,000 km longer than that of the not oiled wheelsets [1, 2].
To accurately determine testing conditions, the data on the tracks should be reduced (generalized).
The curve radius may be reduced according to the reduction law of rolling resistance at the curves: ∑ ∑ ⋅= i i ir s s ωω , (1) where iω is rolling resistance at the track i, N; si is track length, km; rω is reduced resistance, N.
(4) The data for calculation are taken from Table 1.