Search results

Based on CT data and under the maximal load during a normal walking cycle, 3D finite element analysis (FEA) was carried out to analyze the stress of bone around the new implant in three cases of distally truncated femur at high-position、middle-position and low-position.
Part 2, a silicon rubber 2 3 1(A) 1(B) 1(C) Fig. 1 Cutaway view of multi-part implant Fig. 2 One section of CT scan data of femur a b c d (a,c: front view b,d: side view) Fig. 3 Precise and simplified 3D CAD model of femur circle serves as cushion to reduce impact.
CT scan data of human femur was obtained from a 24 old female.
Precise 3D CAD model (Fig. 3a,b) of femur was constructed by input of the contour information of CT data.
The model of femur constructed by setting CT-data based models as prototype with preserved important features, and the maximal load during a normal walking cycle, and the consideration of different truncated position, contribute to the improvement the accuracy of the result.

AE accumulated energy was discussed based on the AE data.
DAQ system were triggered with the +12V voltage to synchronously record the data when the test started, as shown in Fig.2.
The curves showing the AE data vs. cycles were plotted in Fig.5 and Fig.6.
For the specimens fatigued at 83% loading level (as shown in Fig.5), AE data could be derived in two regions:(i) a Burn-in phase and (ii) a steady-state phase.
(2) AE energy was discussed based on the AE data.

Software Architecture The architecture of human reliability evaluation system is consist of four layers: data source layer, data service layer, business logic layer and client layer.
Data sources include EMS, WAMS, OMS, PMS, IDP and so on.
The second layer is the data service layer.
This layer acquires data from the data source layer as well as some real time input data, and stores them in a SQL database.
The data mainly includes two parts: real time data and historical data.

For the purpose of both of reducing the workload of physical therapists and providing the quantitative data obtained during the rehabilitation process so as for physical therapist’s reference.
Moreover, a neural-network system had been introduced into this research so as to establish all the information to be a data file.
Apparently, it is done by the sensor installed on the finger so as to get the experiment data so as to know the situation of patient’s hand rehabilitation [7].
Moreover, the control microchip is linked to the temperature/ humidity sensor inside of the vapor cabinet to try to read the voltage data value so as to proceed to do the A/D transfer of setting data value, and then drive the relay module to try to control the start of inlet fan & outlet fan so as to control the temperature & humidity inside of the rehabilitation vapor cabinet eventually.
And to receive the voltage, which has been generated by the temperature & humidity sensors installed inside of the steam cabinet, and send back to microchip in order to proceed to do the A/D transfer so as to compare the transferred data value with setting data value in order to control the ON/ OFF of the inlet fan through the help of the 1/0 output of the control microchip. 

As to the adsorption isothermal curve shown in Fig.2, the question on what kind of adsorption it should be classified in or what formula should be used to express it can not be simply answered by the figure rendered on the basis of data obtained by isothermal test, this, we believe, is inaccurate.
The adsorption type and associated adsorption isothermal formula can only be decided when data obtained from test is processed by mathematical method.
Following this philosophy we get test data for mathematical treatment and the result shows Freundlich is a better fit to the adsorption of selenium by anion exchange resin of 201×7, with associated formula as follows: (4) Where in Freundlich formula, k is adsorption capacity when concentration c=1, it can roughly indicate the volume of adsorption.
That is mainly because that the OH- in alkalescent solution may compete with SeO42- to react with the resin and leads to reduction of selenium removal by resin.
&Baenes,J.M.1999 Selenium reduction by a denitrifying consortium.

Limited data reveals that smaller abrasive size seems to be more effective in enhancing MRR, as shown by Example 6 with 50nm alumina at 789 nm/hr vs.
Simulated Production Run Data.
Under real production environment, higher pressure may shorten the polishing pad life, from which we still yet to collect enough data to understand the tradeoff.
Summary of the MRR and wafer pressure data 　 Figure 2.
High GaN MRR of the same slurry can conveniently be integrated into the common SiC CMP tool platform for cost reduction.

Results and Discussion Fig. 1 shows the XRD pattern of the CuAlO2 powders, all the diffraction peaks match well with JCPDS data card no. 35-1401, showing that the crystalline structure of the CuAlO2 powders is 3R polytypes which belongs to the R3m space group, and has a trend to grow in the (0 0 l) orientation [15].
The measured lattice parameters are a = 2.8553 Å and c = 16.943 Å , which are closely to the standard lattice parameters of JCPDS data card no. 35-1401: a = 2.8567 Å and c = 16.943 Å, the measured lattice parameters also agreed with those previously reported for this material [16] as well.
Fig. 1 XRD pattern of the CuAlO2 powders Fig. 2 XRD patterns of CuAlO2 ceramic The XRD patterns of the CuAlO2 ceramics are shown in Fig. 2, all the diffraction peaks match well with JCPDS data card no. 35-1401, no other peaks are detected in the bulk samples, which indicates when the sintering temperature is over 1000 ℃, all the samples are pure CuAlO2.
Even at the shortest holding time (5 h), all the diffraction peaks match well with JCPDS data card no. 35-1401.
Samples with lower sintering temperatures have the smaller grain size and lower density, which will process higher rates of scattering of the phonons with longer mean free paths, leading to the reduction in the lattice thermal conductivity.

Signals are registered on defined distances (one-kilometer-long), i.e. the measurement is carried out during running on defined distances, registered data are formed into a data package which is sent to the operator's server.
Although there can appear some differences between signals from nominal and damaged vehicle (Fig. 5, 6), the parameters differ slightly, no matter whether this is connected to a loss of damper or reduction of stiffness.
On section 2nd and 4th section both parameters may suggest fault in suspension, what was not correct. 0 0,09 0,18 0,27 0,36 0,45 nom_C1z dam_C1z [m/s2] 1 2 3 4 Section Figure 9 – Vertical acceleration - RMS, passenger car, v = 100 km/h 0 0,9 1,8 2,7 nom_C1z dam_C1z [m/s2] 1 2 3 4 Section Figure 10 – Vertical acceleration – CF, passenger car, v = 100 km/h 0 0,04 0,08 0,12 0,16 0,2 nom_C1y dam_C1y [m/s2] 1 2 3 4 Section Figure 11 – Lateral acceleration - RMS, passenger car, v = 100 km/h 0 1 2 3 nom_C1y dam_C1y [m/s2] Section 4 3 2 1 Figure 12 – Lateral acceleration – CF, passenger car, v = 100 km/h The fault in case of passenger car – loss of secondary suspension damper – is more difficult to detect compared to reduction of stiffness.
There have to be prepared proper algorithms which would be used for calculation, data processing, and which would support decisions making related to the operation of rolling stock.
In simple words an algorithm which is a step-by-step method for analyzing of obtained data is needed.

The temperature rise caused by ultrasonic vibration not only leads to the reduction of required embossing force, but also to improve the micro-replication ability of the glass.
Experimental data showed that the glass has almost fill fully into the pyramid root.
Experimental data show that root dimension of almost pyramids is satisfied as comparing with desired one (30 µm) while height dimension is not easy to be achieved.
Data from Table 1 and 2 illustrates that the faster the embossing speed, the lower the pyramid height.
Experimental data illustrated that with the same speed, ultrasonic vibration could improve the pyramid height about 18 %.

The peak orientations, calculated’d’ spacing and lattice parameters were compared using JCPDS (04-0783&76-1489) card data and was found to be matched [5].
The XRD data was matched with (JCPDS#03-0921) for silver 2θ=44.59˚ with crystalline range of 17.34nm.
From XRD data, the annealed silver film having silver and silver oxide phase.
The XRD data was matched with (JCPDS#03-0921) for silver 2θ=44.59˚ with crystalline range of 17.34nm. 2.
Analysis of silver nano particles produced by chemical reduction of silver salt solution, J.