Search results

Besides, a technology roadmap of image edge character detection is analyzed .Gaussian filter is used to noise reduction of the image and canny operator is used to edge detection.
Canny operator edge detection flowchart are shown in Fig.3.When using canny operator to detect the  image edge, the image should deal with the noise reduction processing first before further processing.
After thoroughly fixed bearing, inductance micrometer is adopted to measure data.

Our data show sensitivity of about 1500 in 10 ppm diluted gas in air at 100 °C.
The reaction of dissociated H2S with adsorbed oxygen is the main reason for reduction of resistivity. 1.
The PC Link Plus software was used for collecting data.
The mean crystallite size of WO3 was 63.2±0.1 nm which is calculated from XRD data using the Debye–Scherrer equation.
Data show tungsten, oxygen and small carbon contamination on the surface.

Introduction Now, with the development and diffusion of Internet application technology, particularly the rapid growth of network users and network data, the data processing capacity must meet a higher requirement.
By extending the WSDL[7], to describe the quality of service, property name and data type of QoS is described in the interface's document , then a defined QoS attribute set will appear in the document of the interface, and all service providers who hope to achieve the service through Web service interface can work in the same attribute set.
The implementation described below: … … … … … In the document of the service implementation, the service provider makes some constraints in the implementation of the appropriate based on QoS attributes' name and data type defined in the document of service interface, the pattern is defined as follows: … … … … … … … … … There is no description standards of the service QoS, that can clearly semantic QoS, but the
After quantification of the original data, the incremental is quantified by the following formula[8]: When 0: v()= (2) When =0:v()=1 The reduction is quantified by the following formula[8]: When 0: (3) When =0:v()=1 According to quantized v (), the Eq.1 written as: =( v(),1in,1k6) (4) In practice, each cloud user CS has different of requirements on the quality indicators, can be expressed by weight, denoted by, then the fitness Ui for cloud user CSi can be calculated Eq.5
Reliability and availability can be directly used, the incremental (such as security) and the reduction (such as service prices and response time) is computed by the following formula.

For this, there are performed simulations considering the correlations developed by [2] and using their experimental data for validation.
After the simulations are computed the desired output data using the Eq. 1 and the computational procedure (experimental reduction procedure) applied in [2].
These data are de Reynolds number and the Fanning friction factor, f, related to pressure drop, and the Colburn factor, j, related to heat transfer, all dimensionless.
Simulation results compared with experimental data.
Individual 1º angle 2º angle 3º angle 4º angle 5º angle 6º angle 7º angle G % increase A 50,1 50,0 50,2 50,6 59,9 40,9 40,8 0,00460 25,61 B 50,0 50,0 50,0 50,4 58,4 40,6 40,1 0,00454 23,97 C 50,0 50,3 50,2 51,9 59,7 42,8 43,5 0,00439 19,87 Conclusion The SST turbulence model shows itself to be the adequate model to simulate compact heat exchangers type louver fins, as it allows good accuracy compared the experimental data used.

Strain and corresponding force data were acquired through digital encoder placed on the drive shaft of the motor and load cell based on strain gauge.
The measured data were stored in the PC using data acquisition system with approximate sampling rate of 90 Hz.
Stress-strain properties Nominal stress value has been calculated at each data point assuming the cross sectional area remains constant, and the stress-strain curve is generated as shown in Fig.2.
Percentage hysteresis loss at each strain rate has been determined from the calculation of differences of areas under the loading and unloading curves of the experimental data.
The increase of maximum stress values and reduction of hysteresis loss at different strain rate were shown.

Fig. 3 shows a good agreement between the experimental data and theoretical prediction by equation (1) of the sputter deposition rate of (Ti,Al)N coatings with increasing nitrogen pressure. 0.0 0.5 1.0 1.5 2.0 2.5 0 10 20 30 40 50 60 70 80 Model Fit (Solid Line) Experimental Data (Points) (Ti,Al)N Deposition Rate (nm/min) Nitrogen Pressure (mTorr) Fig. 3: Comparison between experimental data and theoretical prediction of deposition rate of (Ti,Al)N coatings with increasing nitrogen pressure (WD: 65 mm, substrate temperature: 240 o C).
A higher nucleation rate and a reduction of the self-shadowing effect of the deposition process will occur with an increasing number of depositing atoms/molecules.
In this case, a limiting grain diameter reduction to 82 nm (ko) will be reached at some stages. 15 20 25 30 35 40 45 80 120 160 200 240 Grain Diameter (nm) Deposition Rate (nm/min) Fig. 4: Comparison between experimental data and theoretical prediction of grain size refinement of (Ti,Al)N coatings with increasing deposition rate (nitrogen deposition pressure: 0.4 mTorr, WD: 65 mm, substrate temperature: 240 o C).
With defined discharge conditions and sputter characteristics of the target materials, the values of md for different coatings can be calculated and the grain size of the coating structure at different nitrogen deposition pressures can be determined. 0.5 1.0 1.5 2.0 2.5 0.04 0.06 0.08 0.10 0.12 (Ti,V)N (Cr,Al)N (Ti,Al)N (Grain Size) -0.5 (nm) -0.5 (Nitrogen Pressure)-0.5 (mTorr)-0.5 Fig. 5: Comparison between experimental data and theoretical prediction of grain size of ternary nitride coatings with nitrogen deposition pressure (WD: 65 mm, substrate temperature: 240 o C).

A Stratavisor data-logger with a sampling frequency of 4000 Hz is used for recording the data.
Aside plan’s velocities decrease, but this is due to a lower dispersion of the data than in the previous impact.
Discussion Topographic surveys are quite reliable, easy to obtain and provide data allowing estimating possible material compaction or expansion.
Data related to the materials characteristics may be obtained from seismic tests.
Even if a global thickness reduction is observed from the very first impact, it appeared that the thickness of the front layer only decrease for high energy impacts .The structure’s characteristics’ evolution is clearly brought to the fore by seismic testing, revealing compaction or swelling.

In connection with the low number of samples they are thought to be responsible for the data scattering, making the interpretation of ductility uncertain.
Data points with arrows mark specimen without rupture (run-out).
This value is in good agreement with the data for solution treated and overaged Ti-6Al-4V exhibiting a bimodal microstructure [12].
The data presently available shows that the plane strain fracture toughness KIC exceeds 50 MPa√m for all heat treatments.
From data points at very low rates of crack growth a threshold of 10 MPa√m can be estimated.

Such studies indeed called attention from researchers [1], yet still rare, lacking related data.
For example, the Pitzer Model was used to predict data like activity coefficient of ion and salt in the brine system of Qinhai Yiliping Salt Lake [4].
Data Processing Assumptions: (1) SO42- stands for anion in solution, and the electrolytes are completely disintegrated in water. (2) Not considering association. (3) Concentration of hydrogen ions is expressed by pH value.
After obtaining related data, Equation 2 is used to calculated and analyze the change rule of thermodynamic properties, and study each component’s influence over the solution system from the aspect of thermodynamic aspect.
J.Chem.Eng.Data.

Standard manufacturing techniques, such as extrusion, ought to be developed in order to find a beneficial solution allowing for structural weight reduction, which is a very efficient means of improving aircraft performance.
a) b) Fig. 6 Typical flow curves of AZ80 (a)and WE 43 (b) magnesium alloy determined in upsetting test The strain rates marked in Figures 5 and 6 are the mean values calculated from the recorded data of press ram velocity and specimen height during the upsetting test.
Increasing the complexity of the cross-section of the extruded profile requires a significant reduction of the extrusion rate as too fast extrusion rate causes extrusions to crack on the side surface and material pull in thin-walled part of extruded profile.
A reduction in force can be achieved by significantly reducing the extrusion speed.
· Increasing the complexity of the cross-section of the extruded profile requires a significant reduction of the extrusion rate as too fast extrusion rate causes extrudate to crack on the side surface and material pull in thin-walled section