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(a) Effect of defects on energy increment of nano composite during pull out simulation for two S-W defects and two vacancy defects and (b) ISS of CNT-PVA nano composite (right) In Fig. 2 (a) the energy increments during the pull out simulation for S-W and vacancy defective CNT-PVA composites are presented along with data for pristine CNT-PVA composites.
Using these potential energy increment data, the interfacial shear strengths are calculated applying Eq. 2 for the three types of CNT nanocomposites.
A comparison between SW and vacancy defective CNT composites is also reported; showing greater reduction in strength for composites of CNTs with vacancy defects.

The experimental device for measuring the EIS data which we use is shown in fig 2.
This suggests that whit the increase of the sintering temperature, the grain of Pt/YSZ electrode grows, specific surface area is decreased, and it leads to the reduction on catalytic capacity.
Fig.4 EIS data of Pt/YSZ electrode at various sintered temperatures The low frequency impedance arc represents the electrode polarization resistance (Rp).

Ground profiles of test area Fig. 3 Elevation view of instrumentation in field site Data were recorded at frequent intervals during the entire consolidation process.
Data show that the slurry in site had been improved as expected.
To verify the ground improvement effect of this method, field test is carried with detailed instrumentation and monitoring program including surface settlement, multi-level settlement, vacuum head, pore water reduction and inclination of soil during preloading process.

If the noise from sewing machine is so high that affect the physical and mental health of the operators, it will lead great reduction on production efficiency.
In order to more accurately localizing the noise source of industrial sewing machine, we measured the NAH data on front surface, back surface, left surface, right surface and top surface of the industrial sewing machine.
Fig. 2 The NAH measurement system composition of the industrial sewing machine 3 Measurement data analysis 3.1 The measuring result comparison of the sound intensity method and NAH The sound intensity method and NAH were used to localize the industrial sewing machine under the same working condition.

Precise thermal conductivity data were gathered from all samples using a RAPID-K type static thermal conductivity measuring instrument.
The bottom plate contains a heat flux detector to collect quantitative data about the amount of heat transferred.
We used fast response K type thermocouples to measure the actual temperatures and the heat flux, the data was collected by a multi channel digital data acquisition system.
The evaluation of the measured data listed above led us to the conclusion, that the sawdust additive was the least effective in decreasing the thermal conductivity.
The XRD data was generously supplied by V.

In the proposed method all of the nodes are able to appear as cluster heads, in other words each node decides whether to act as a cluster head and aggregate data or to route the incoming data to a neighbor better suited for this role.
And finally, the cluster heads must efficiently route data to the base station.
It means that it will send the data to a neighbor with the highest value.
Node A is no longer able to send its data to the cluster head and needs to find a new solution.
Figure 8 shows network’s lifetime in each data collection rounds.

The traditional approaches mainly focus on simplification and reduction of the terrain data executed on CPU, which usually result in a very high CPU loading and make it inefficient in real-time terrain rendering.
Terrain LOD algorithm based on GPU can process the batch of terrain data and it uses the terrain block as the basic unit instead of a single vertex or triangle in LOD simplify.
In the terrain rendering cluster triangulations form the data block which is the node of quad tree.
The configure of computer is Intel Core 2 Duo E8400 @3.0GHz CPU 2GBRAM NVIDIA GeForce9600GT GPU 512MBVRAM Windows 7.The high data of the representative Puget Sound is the test data of this algorithm.
We need to adjust different parameter to different terrain data.

Framework of the EWS of RVR Early warning is a major element of risk reduction.
Descriptive statistics and inferential statistics will be employed for data analyses.
For the data collected by questionnaire survey, T-test and MANOVA will be applied to discover the critical RVR indicators that would significantly affect RV, and correlations of these indicators will be calculated.
c) Case study and Data mining A certain amount of PPP cases will be collected around the world, and organized into a case base so that searches through the case base can be done efficiently and accurately.
After the case base structured, Data mining is used because it is good at mining incomplete data for knowledge discovery of case base.

Dynamic modelling was performed for a gearbox having the technical data as described in table 1, which was equipped with four pairs of gears (pinion & idler) having the same module, teeth number, tooth width and normal pressure angle, but with different helix angles: β= 9°, 11°, 13° and 15°. 
Technical data of the gearbox Main geometrical data of the gear Centre distance A= 125 [mm] Module mn= 4 [mm] Teeth number z1/ z2= 17/ 43 Tooth width b= 40 [mm] Normal pressure angle α0= 20 [°] Performance data Maximum power P= 2,5 [kW] Nominal input speed n1= 1.500 [rpm] Output torque Mt2= 38,5 [Nm] Geometrical data of the four pair s of gears Helix angle β 9° 11° 13° 15° Addendum modification coefficients x1/ x2 0,48452/ 0,47656 0,39876/ 0,34228 0,30296/ 0,18148 0,20311/ -0,00731 Reference diameters d1/ d2 68,85/ 174,14 69,27/ 175,22 69,79/ 176,52 70,40/ 178,07 Dynamic modelling of the gear transmission was started from the model described in Fig 1.
Based on the proposed mathematical model, using the SimulationX software, it has been performed a numerical simulation of the gearbox dynamics, simulation results being compared with data obtained experimentally.
Korka, Research on vibration reduction in operation of cylindrical gearboxes, Ph.D.

Mass Concrete Test In the application of mass concrete to stadium, a strict data test should be made from concrete material selection, concrete configuration and transportation, concrete pouring, and concrete temperature control for ensuring the quality of the project, and also concrete is prepared and constructed according to the test data.
In the test, the cement dosage reduction test is gradually made by starting from 380 kg cement per cubic concrete, so as to find the effect change law of cement thermalization reaction on the temperature of concrete and then determine the best cement content.
In calculation, an item is the common-sense data that has been tested for many times.
Conclusion According to quality requirement, the mass concrete construction in stadium projects should refer to the test data analysis, and also all parts of the construction and especially the links of concrete temperature control measures should be adjusted.
The excellent data test for mass concrete can guide the project construction, so that the project better according with the actual conditions can be built.