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Experiments and Discussion We selected a set of cardiac CT data from the clinical data of the Chinese PLA General Hospital to verify the interactive system of the proposed medical 3D model.
First, we used VTK to perform pseudo-color processing on cardiac data.
Leap Motion could provide considerable data of fingers, palms, wrists, and elbows.
Data sampling was performed in a circle of 1s by analyzing the results.
Rotation The judgment criteria of rotation were the absolute difference between two adjacent roll data.

MANUNEETHI ARASU P1, a*, KRISHNARAJ V2,b, RAMBABU B2, c 1,2,3 PSG College of Technology, Coimbatore, Tamil Nadu-641 004, India amanuneethiarasu@live.com, bvkr@mec.psgtech.ac.in,cbabu.rejoy@gmail.com Keywords: Pedestrian safety, Reverse engineering, hand layup, VARTM, Analysis Abstract Cost reduction, light weighting, quality and safety are the basis for all design and development of automobile component manufacturing.
Metallic [9] investigated, Reverse engineering starts with measuring an existing object using a laser scanner, and then the measuring data is used to construct a surface or solid model.
Simulation of the fuel economy by vehicle mass reduction (2006).ATZ, Vol. 108, 18−20

The MFPA3D modeling demonstrates that the code can simulate non-linear behavior of brittle materials with a simple mesoscopic constitutive law with a strength and elastic modulus reduction of the weaken elements.
External loading is applied with a constant displacement control manner under a static loading condition. 0 0.5 1 1.5 2 2.5 3 3.5 4 0 0.02 0.04 0.06 0.08 0.1 Loading Displacement(mm) Loading Stress(MPa) A B C D E (a) 0 2000 4000 6000 8000 10000 0 0.016 0.032 0.048 0.064 0.08 Loading Displacement(mm) Number of Failure Elements(N) 0 10000 20000 30000 40000 50000 Number of Accumulated Failure Elements(N) (b) Fig. 5 Stress vs. loading displacement curve (a) and number of the failure elements and the load stress during loading process (b) The numerically obtained data are shown in Fig. 5 (a), and here loading stress are plotted as a function of loading displacement.
By introducing a reduction of material parameters after element failure, it can simulate strain-softening and discontinuity problems.

Safety factors of slope stability were evaluated according to finite element strength reduction.
The main devices of test consist jack, load sensors, data acquisition instrument, centimeter, steel plate, as shown in Fig.2.
The average values of shear strength indexes of middle and top of slope (c=11kPa, φ= 47°) are selected as the strength index in the finite element model. 0 2 4 6 8 10 12 14 16 18 20 0 2 4 6 8 10 12 14 16 18 20 Displacement (mm) Force (kN) Top of slope Middle of slope Fig.3 Curves of shear stress-displacement for horizontal push-shear tests Orthogonal analysis of factors influencing slope stability To perform slope stability analysis with the shear strength reduction finite element method which is applied to evaluated safety coefficient[6], a series of trial factors of safety Ft are selected with c and φ adjusted according to the equations: (1)

Tobacco (Nicotiana tabacum L.) is able to accumulate cadmium in leaves and reduction of cadmium content can reduce health hazards to smokers.
Data are presented as mean.
The presence of Cd also caused a reduction of the number of tobacco leaves and the largest leaf area (Fig. 1).

Temperature dependence By choosing the 50% averages in Fig. 3(a) as the typical data for each temperature, the I-V data in linear and full-log scale were shown in Fig. 4(a) and 4(b).
Fig. 2 Typical URS current-voltage data, in which Vset below -4V, Vreset ~ -1V, and the compliance current 20 mA.
(a) (b) Fig. 3 (a) Data variations for the memory cell multi-measurements, showing dispersion for Vset and Ireset especially.
Fig. 4 (a) Temperature dependence in the range of 25°C~100°C for I-V data, in which the statistical 50% value is extracted.
off-state Fig. 5 Cole-Cole plot by real and imaginary impedance data.

The input data should be preprocessed.
Then the point cloud data is calibrated by ICP.
The point cloud data is the basic data of the system which is related to the following modeling accuracy of the scene.
is the line number of the scanning data points.
is the column number of the sacnning data points.

Accordingly, after 18 h of exposure, the impact energy decrement was determined at 31.5%, at a current density of 10 mA/cm2, whereas the corresponding reduction at 20 mA/cm2 reached 68%.
The data was collected over an extended period of time since the X-ray beam was directed onto the sample for an extended period of six sec per step (0.02o), thus allowing a more precise and detailed analysis of the crystallographic structure of steel specimens.
According to the results, hydrogen uptake caused a reduction in Charpy impact energy at higher current density, with the highest reduction to be measured at 20 mA/cm2 for 18h.
With increasing the current density and time of exposure, the severity of the observed fractures increased along with the corresponding impact energy reduction.
Ø Accordingly, hydrogen uptake caused a reduction in Charpy impact energy at higher current density.

The changing tendency between the simulation results and experimental data matched well, which verify the correctness of modeling and accuracy of numerical simulation.
To obtain the polarization data for the P110 and G3, the small column were prepared with normal process.
is the corrosion current density, is the corrosion potential, and is the anodic and cathode Tafel constants, is the final potential and is the ultimate current density of the oxidation and reduction process.
Results Polarization data.

This paper proposes an algorithm which incorporates these two methods with the following properties: first, it removes the reduction phase of the diffusing computation; second, it encodes the dependency information to reduce message length, rather than transmitting it naively as is.
We remove the reduction phase of reply propagation in the first type: that is, the proposed algorithm lets probes rather than replies carry the dependency information in order to expedite the detection activity.
It is the first algorithm that eliminates the reduction phase of the diffusing computation but is still able to detect deadlock without collecting all dependency information naively.
IEEE Transactions on Knowledge and Data Engineering, 11(6):880-895, Nov/Dec 1999