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Online since: August 2013
Authors: Yu Bin Xu, Zhi An Deng, Ping Chen, Liang Chen
The construction of Radio Map is mainly classified into two methods: propagation model and data collection.
The most popular method for constructing Radio Map is data collection during offline phase.
Liu et al [22] propose a Label Propagation Algorithm with the assumption that similar RSS data should have similar labels
It aims to solve the problem that the training data in a source domain and the test data in a target domain follow different distributions.
Since manifold learning method is sensitive to noisy data, we can combine fuzzy logic techniques to make manifold learning method more robust.
Online since: January 2006
Authors: Hans Jørgen Roven, Jens C. Werenskiold
Detailed information on phenomena involved in the grain break-up mechanisms has been obtained by high resolution EBSD data collected through the deformation zone.
Texture and microstructural data through the deformation zone were obtained by electron backscatter diffraction (EBSD) in a Hitachi S-4300SE FE-SEM, equipped with a Nordif EBSD detector and the TSL OIM EBSD software.
Deformation banding in ECAP explained by the LEDS theory In the framework of LEDS, a reduction of simultaneously acting slip systems reduces the shear flow stress from τ to ( )N1 δ−τ .
The reduction of shear flow stress in the band from Gτ to ( )NG DB 1 δ−τ=τ can be estimated from the local modified Taylor factors in the grain and the DBs by G DB N M M =δ , where the modified Taylor factors are based on the minimum number of simultaneously acting slip systems necessary to accommodate the actual strain.
Online since: March 2014
Authors: Soumaya Bradaï, Cédric Gourdin, Stephan Courtin, Jean Christophe Leroux, Catherine Gardin
Meanwhile, few experimental data are available on austenitic stainless steels.
Hence this requires obtaining experimental data on the considered material with a equibiaxial strain tensor.
Unfortunately, for austenitic stainless steels used for power plants components, no experimental data are available concerning fatigue strength under multiaxial loadings.
Fig. 1 Optimized cross specimen used in [5] In order to obtain new fatigue strength data under multiaxial loading, biaxial test FABIME1 was developed at LISN.
The fig.7 shows the variation of the load imposed during this test, from the experimental data obtained by the Labview software.
Online since: August 2007
Authors: Michael A. Sek, Vincent Rouillard, M.A. Garcia-Romeu-Martinez, V.A. Cloquell-Ballester
The research presented herein tests the hypothesis that cumulative damage in the material under random dynamic compression will result in a reduction in the overall stiffness as well as an increase in the overall damping of the element.
The paper tests the hypothesis that cumulative damage in the material under random dynamic compression will result in a reduction in the overall stiffness as well as an increase in the overall damping of the structure.
The effectiveness of establishing the level of damage by quantifying the modal characteristics obtained from measuring the frequency response function (FRF) is critical and often depends of the type of structure being studied as well as the quality of the experimental data.
Relative Static Stiffness (%) . 0 Figure 5: Shift in the stiffness and correlation between static and dynamic stiffness Fig. 7 shows the average FRF data set as well as the corresponding natural frequencies (black dot) for a typical experiment (box 3).
Online since: August 2014
Authors: Jing Cai Chang, Ai Ping Tao, Ming Feng Gao, Jian Zhao, Jia Qiu Song
Removal of coal-fired pollutants using a novel composite collector in a wet electrostatic precipitator Jian Zhao1, a, Jingcai Chang2,b, Jiaqiu Song2c,Aiping Tao3,d, Mingfeng Gao3,e 1 China Energy Conservation and Emission Reduction Co.
The new wet ESP device acts in synergy with WFGD and SCR systems for controlling coal-fired pollutants emissions and solves the adverse impacts caused by wet flue gas desulfurization (WFGD) and selective catalytic reduction (SCR) systems at the same time.
The data shown in Fig.5 (b) indicated that different emitters experienced significant differences in collection efficiency based on discharge energy, especially with shorter gas treatment time.
The data indicated that the characteristic of barbed wires served as emitter electrodes was superior to that of diamond-shaped wires.
Online since: February 2011
Authors: S.M. Sapuan, Faizal Mustapha, K.D. Mohd Aris, Dayang Laila Abang Abdul Majid
One hundred data sets were recorded for the undamaged, damage and repair condition.
The principles were 1) Operational Evaluation, 2) Data Acquisition & Cleansing, 3) Feature Extraction & Data Reduction and 4) Statistical Model Development or Prognosis [11].
By using Sigmaplot software each data sets were plotted and overlaid on each other.
From the 25000 points, it was then grouped to 1000 intervals data set for analysis.
By judgment, the first group of the spike was concerned and the data packet was zoomed again in 500 data intervals.
Online since: April 2008
Authors: Vlastimil Hotař
An important problem is the choice of an optimal analysis for obtained images that should correspond with the character of obtained data.
Not all equipment mentioned in the figure must be used for an analysis of data from production.
Analysis of data The image analyses are realised using Matlab and LabView software.
The analysis is standard and data from the images are obtained every 0.3 seconds from 3 positions along a stream.
The data are sent to the control unit, where robot trajectories are computed.
Online since: March 2012
Authors: C.C. Wang, Y. Kang, T.Y. Tu
In addition, principal components analysis (PCA) is used to extract the main features of the wavelet order spectrum and reduce the volume of data.
Using few main components, it can keep most the original data set intact without mutual relationships to achieve the simplifying data
Fig. 1 The flow chart of wavelet order spectrum method Fig. 2 Wavelet order spectrum The wavelet order spectrum method with PCA, through the selection of principal components as principal features for the fault diagnosis, reduces data dimensions of the wavelet order spectrum.
The SOM neural network learning algorithm can automatically find it’s similarities between input data, with the configuration of input which close to the output layer neurons, and thus forms the input data which can be selectively provided to the reaction grid.
In addition, through the PCA data reduction process, training time can be reduced to 85 seconds .
Online since: January 2014
Authors: Ivana Mahdalova, Vladislav Krivda
From the video recording we can also evaluate other traffic engineering data, e.g. traffic volumes and their directions, average control delays, etc.
Proposal for Increase of Traffic Safety The following measures were taken as the basic points for increase of traffic safety on monitored section of the road: - the measures for simplification of parking maneuvers (if it’s possible), - the measures for reduction of speed.
The solution of the second problem (i.e. the necessity of speed reduction) is reached by alternate use of the origin left and right traffic lane for a newly made running lane – see Fig. 10.
Fig. 10 Creating of maneuver space for perpendicular parking (left) and the measures for reduction of speed of passing vehicles (right) Summary The section of urban road, where the video analysis of conflict situations was carried out, was built in the 50’s of the 20th century when the traffic proportions were completely different from the present ones.
The previous chapter presents some proposals for changing the traffic management on the road section monitored, which should contribute to increase of the traffic safety (i.e. by forced reduction of speed of vehicles passing thanks to alternate use of left and right part of originally two-lane traffic strip) and by creating of maneuver spaces near parking places.
Online since: April 2013
Authors: Eun Gu Kwak, Choul Ho Lee, Seung Kye Lee, Jin Man Kim
Although it is necessary to reduce the quantity of resin used in order to improve price competitiveness and volume stability, reduction in the quantity of resin will lower the fluidity and workability due to reduction in the quantity of fluid material.
However, the measure data illustrate that there is almost no difference in the densities of the 3 sections, and, on the contrary, there were cases in which the upper section had higher density, thereby it can be deduced that the segregation of material almost does not occur due to usage of spherical steel slag aggregates.
The number upper the line show the standard deviation of three specimen Air curing (28 day) Heat curing (3 day) Air curing (7 day) Fig. 6 Compressive strength according to Fig. 7 Alkaline test according to replacement ratio of SSS replacement ratio of SSS Effect of resin reduction by using spherical steel slag(Series II) Vebe test.
Fig.9 displays the reduction effect of polymer resin on the compression strength when spherical steel slag is used.
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