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To tackle this type of problems, one possible solution is to incorporate fuzzy logic into ontology to handle uncertainty data [7].
Egenhofer: Determining semantic similarity among entity classes from different ontologies, IEEE Transactions on Knowledge and Data Engineering, 15(2003), p.442-456
Cao: Automatic fuzzy ontology generation for semantic web, IEEE Transactions on Knowledge and Data Engineering, 18 (2006), p. 842-856
Zhang: Relations of attribute reduction between object and property oriented concept lattice, Knowledge-Based Systems, 21(2008), p.398-403

During the firing process, the gases are produced from the organic compounds oxidation, carbonates decomposition, sulphide oxidation, iron reduction, and from phases containing fluorides or chlorides [8].
For comparison purposes among different wastes, and taken into account the huge amount of data published in the literature concerning the oxide composition of coal fly ashes (CoalFA) and bottom ashes from incineration (BAMSWI), two additional regions were added to the diagram.
The residue considered in this study is represented with dark spherical points highlighted in Fig. 1 and 2, while the white points indicate literature data, which are spread in a large range.
Fluxing 0 20 40 60 80 100 SiO2 0 20 40 60 80 100 Al2O3 0 20 40 60 80 100 Bloating area CoalFA BAMSWI APC residues Literature Fluxing 0 20 40 60 80 100 SiO2 0 20 40 60 80 100 Al2O3 0 20 40 60 80 100 Bloating area APC residues Clay Previsão incorporação tq APC washed (1ª ext) APC washed (2ª ext) Previsão incorporação lav Col 4 vs Col 2 Col 4 vs Col 2 10% 10% wash 5% Figure 1- Chemical composition of bloating material, coal fly ashes, bottom ashes from MSWI, APC residues used in this study and from literature data [1-3].

The XRD data of Fe2O3-SiO2 composites obtained at calcining temperature from 500°C to 900°C are shown in Fig. 1.
£ª Y -Fe 2O3 ¦Á-Fe 2O3 £ª £ª £ª £ª £ª 900 oC 800 oC 700o C 600o C 500 oC £ª 2 theata Intensty Fig. 1 XRD data of the Fe2O3-SiO2 samples heat-treated at different temperatures SEM and TEM results.
The magnetization values decreased with the increase of coating times, because of the content reduction of magnetic material, i.e. γ-Fe2O3, whose contents are 49.6wt%, 34.0wt%, 24.3wt% in γ-Fe2O3-SiO2, SiO2/(γ-Fe2O3-SiO2) and TiO2/SiO2/(γ-Fe2O3-SiO2), respectively, according to ICP results.
Fig. 3 TEM images of TiO2/SiO2/(γ-Fe2O3-SiO2) particles -10000 -5000 0 5000 10000 -1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 c b a M/(emu/g) H/Oe 0 20 40 60 80 100 120 0 20 40 60 80 100 Degradation rate (%) Time (min) T100 T110 T90 pure TiO2 Fig. 4 VSM data of γ-Fe2O3-SiO2 before coating (a), after SiO2 coating (b) and TiO2 coating (c) Fig. 5 Photocatalytic degradation of salicyl- hydroxamic acid with different photocatalysts Acknowledgement The financial support from National Natural Science Foundation of China (Granted No. 50274045) is gratefully acknowledged.

This can lead to serious cost reduction, both for the manufacturers and the users of magnetron sputter equipment.
However, this model can be coupled to a so-called \particle-in-cell (PIC)" model which calculates the electric field, produced by the external electrical circuit and the spatial distribution of the charged particles, in a self-consistent manner The coupled model is named \particle-in-cell/Monte Carlo collisions (PIC/MCC)" model and is able to produce a wealth of data, such as cathode voltage and current, species densities, uses and energies, potential distribution, and information on the individual collisions in the plasma.
· The coating material are precision manufacture for this installation · One of the coating material that is general used is hi purity silver · To adjust the parameters online means that will considerable loss of glass To calibrate our simulation we use real data of the parameter used in a previous manufacture process.
We use the all the input data and match our results of the simulation with the real result.

Recently, novel methodologies, which aim at achieving a reduction in the Energy Consumption (EC), while avoiding substantial plant revision have been addressed in [4-6].
A for loop is then implemented, that varies the robot base position and computes the EC for each grid point, the computed data being stored into a file.
Unfortunately the graphic potential offered by Dymola does not allow a smooth representation of the data.
Therefore, data files generated by Dymola (also including information about cycle time) are read in Matlab, which generates a color map that represents the trend of the robot EC by varying its position on the xy plane.

Moreover, the alloys were subjected to uniaxial tension or reduction by rolling and drawing up to 80-90%.
The obtained X-ray diffraction data (Fig. 1 b) also indicate the predominant content of B19' crystallites with the larger interplanar spacings ((002), along the normal to the sample surface (see, scheme in Fig. 2, P=0).
Thus, these data should be interpreted as the baroelastic effect [15], namely, a baroelastic reorientation of predominantly twinning type, when crystals with smaller interplanar spacings ((020), (111), ets., planes) transform into crystals with larger spacings ((002), (11), ets., planes) under unloading.
Fig. 4 demonstrates barrier effect in nonequiatomic alloys that retards the growth of nanograins during the low-temperature annealing (up to 800-850 K) due to the heterogeneous precipitation of highly disperse particles of X-Ti3Ni4 phase, according to TEM data [14].

Fig. 2 – Denavit - Hartenberg system for axis coordination Robots 4R (serial) Both the kinematic chain modules and the mechanical hand are driven by DC motors by worm gear-wheel reduction.
The system is runs a MATLAB program on a PC which takes data from the serial port, through the data acquisition system, the current as read on the standard resistance of the motors force circuits.
Fig.6 Diagnosis of the of Kinematic Parameters Fig.7 Diagnosis of the of Dynamic Parameters Data acquisition is recorded and synchronized on RASTER, “.pcx” and “.bmp” files, as a function of various factors in connection with positioning and orientation accuracy.

The supporting cores enhance the local buckling strength of thin-walled hat-shaped section members made from high-strength steel, thus enabling weight reduction of the frame.
The data are normalized by the corresponding yield strengths σyT and σyC and fit well to exponential regression lines.
Fig. 1: Fatigue curves in terms of cycles to failure for 1 Hz and 20 Hz test frequency: a) Tensile loading (R = 0.1); b) Compressive loading (R = 10) (data from [11]).
Fig. 2: Time to failure for cyclic tests at 1 Hz and 20 Hz test frequency and creep tests: a) Tensile loading; b) Compressive loading (data from [11]).

In order to make it easier for people to understand, it is further defined as: reduction, embedding, transformation and simulation method, and turn a difficult problem to a method how to solve the problem by what we know.
Data element is used to describe the data involved in the processes, computing components is used to describe the operation, control components is used to express control structure of program and transmission components is used to express data transmission.

Combining the advantages of both titanium alloys and TWB technology, titanium tailor-welded blanks (Ti-TWBs) exhibits an excellent corrosion resistance, high strength and work under high temperature [3] which widely used in automobile and aerospace products [4] to achieve the weight reduction and increased performance.
All measured stress-strain data for the weldment, base metal, the computed damage variables, and forming limit curves [13] were extended and able to predict the localized necking of the Ti-TWBs, taking the weldment effect into fully account into.
Figure 4 – Stress-strain relationship of Ti-6Al-4V at RT and 550°C Figure 5 – Measured effective Young’s Modulus of Ti-6Al-4V at 550°C Figure 6 –Measured effective Poisson Ratio of Ti-6Al-4V at 550°C Results of modeling with experimental verification In order to verify the accuracy of the simulation results, these results were compared with the experimental data in terms of LDH value and failure location.
The predicted results were found quite satisfactory and agreed with the experimental data.