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Online since: February 2014
Authors: Hong Li Suo, Ya Ru Liang, Yue Zhao, Lin Ma, Yi Chen Meng, Hui Tian, Jean Claude Grivel, Ning Yi
Severe plastic deformation was performed by cold rolling with 5 % reduction per pass untill the total reduction of ~ 99 % with a final thickness of ~ 70 μm.
The full width half maximum (FWHM) values for the X-ray (111) phi-scan and (002) omega-scan parallel to RD are 7.31° and 5.51°, respectively, which are similar to the data reported for other Cu-Ni alloys[6-8].
Online since: September 2014
Authors: Do Wan Cha, Kyung Soo Kim, Bum Joo Lee, Soo Hyun Kim, Kab Il Kim
We calculated knee and hip joint torques, and vertical ground reaction forces using force plates at a 200 Hz sampling frequency and collected motion capture data including the ROM of knee and hip joints were filtered using a 5th order Butterworth low-pass filter with a cut off frequency of 10 Hz.
The UTRCEXO utilises harmonic drives with a gear reduction ratio of 233:1.
Type Length (mm) Weight (kg) D.O.F Reduction Gear Ratio DC Motor (w) Lower limb Legs 900 18 Hip / Knee 4 Harmonic Drive 233:1 90 / 150 Table 1 Specification of the UTRCEXO Fig. 5 Snapshot of the UTRCEXO implementing the precedence walking assistance mechanism with a 15 kg load at 3.3 km/h step velocity Conclusion In this paper, we analysed human gait patterns, including knee and hip joint torques and muscle activities, for step initiation phase and continuous walking phase.
Online since: December 2012
Authors: Yun Cheul Choi, Chang Sik Choi, Hyun Ki Choi
More recently, experimental data on stress concentrations around openings and the effects of openings on wall behaviour have been reported.[3,4]  Current codes include provisions for the design of symmetric and unsymmetric solid walls; However, it is often necessary to provide openings.
It differs from the result of previous research that shows a 30% strength reduction of wall according to the existence of opening area without slab installation.
It is thought that concentrating stress around the opening establishes this reduction, although above three specimens planned same wall height and upper part of opening was connected with rigid body.
Online since: October 2014
Authors: Ya Ping Wang, Hai Rui Dong
According to the parafoil structure data which is obtained from laboratory parafoil, and the above mathematical model (5), simplify the mathematical model to make controller easier, thus get the pitch channel transfer function as follow: (6) In order to verify the performance of the optimization algorithm, take the pitch channel as an example and simulate in Matlab.
Wu, "Networkreconfiguration in distribution systems for loss reduction and load balancing"[C].
Hong, "Reconfiguration of electric distribution networks for resistive line losses reduction"[C].
Online since: October 2015
Authors: Hamidi Abdul Aziz, Mohd Azmier Ahmad, Muhd Nazmi Ismail, Nik Athirah Yusoff
The experimental data was analyzed with Langmuir and Freundlich adsorption models.
The data fitted well with Langmuir.
The equilibrium data for removals of MB, MR and RBV by RSCAC were fitted to Langmuir isotherm.
The equilibrium data of this study is best described by the Langmuir equation according to its R2 which were closest to unity.
The equilibrium data was best described by Langmuir isotherm model.
Online since: June 2013
Authors: He Peng Gao, Zhan Wu Zhang, Qing Dong Yang, Hongjun Wang
The connecting rod cracking production line was established on the basis of the actual connecting rod cracking production data.
The analysis report is obtained to provide data support for the optimization and help enterprises save the costs, improve the production capacity and obtain good economic profit.
The connecting rod cracking production line is established on the basis of the data of the actual production.
At last, all kinds of data can be saved to select equipment, schedule production and achieve optimal scheme.
The basic data is achieved from the simulation and logistics analysis.
Online since: November 2011
Authors: Xiao Xi Zhang, Ding Tian Zhang
The whole processes includes that firstly the weighted input data are passed to hidden nodal points, and calculated by action function to output nodal points, then the output data between the networks and expectation are compared.
If not, the error will be propagated backwards and the weights and the threshold data are adjusted progressively.
Table 1 shows the statistical data from 2000 to 2010.
We send 8 groups of statistical data which are typical learning samples into the BP networks The data are strained about 15000 times and we get the BP 8 model, which learning accuracy is 2%(relative accuracy).
The comparison between model output and actual data are shown in Figure 2.
Online since: August 2011
Authors: Wajdi Dandach, Jerome Molimard, Pascal Picart
DSPSI possesses the advantage over conventional out-of-plane displacement-sensitive interferometry, that only a single difference of the unwrapped phase map is required to obtain flexural strains, thereby relieving problems with noise and reduction in the field of view.
These two images are called by a Matlab program to process image data.
Online since: August 2013
Authors: Hong Tao Tang, Jian Xin Zhou, Hong Wang, Xiao Yuan Ji
The following part of this article is the discussion of the system data flow and module design.
Fig. 4 Date flow of material management subsystem System Design.Business processes discussed before have provided officers what to do and when to do; it is the carrier of data, while data is the core of it.
Actually, business processes mean data flow, from one point to another.
The overall data flow of our system is shown in Fig. 4.
Material information module manages the data of material, semi-product and product, which can be dynamic display in our system.
Online since: June 2012
Authors: Hai Yang Wang, Ji Guang Liu
For N-sampled data such as, the formula of the moving mean filter is as follows: (1) Here, m is the length of filter window, is the object element processing.
For overcoming these disadvantages of the traditional median filter and the traditional mean filter, we will change the size of filter window according to the degree of pollution in the different data areas.
Realization of the filter algorithm is as follows: (1) The data which is being processed is copied into tow the same sets.
Result Fig.3(a) is the original data wave, which signals have been mixed the white noise and the high frequency noise.
When m = 4, a good results can be got, by contraries, when m is bigger, more data will be lose.
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