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Online since: October 2014
Authors: Xiao Feng Hu
The collector is responsible for the real-time data acquisition, and data statistics, storage; concentrator can be regularly or irregularly from the collector to obtain the required data, and complete statistics, data report, print and database management, concentrator and the collector communicates by CAN bus.
System and data packet structure parse and process monitoring data in wireless sensor networks through the adapter module.
Node software mainly includes two parts: communication control and data acquisition.
For each child node, system requirements, it adds its own data into packets and sent through the RF module out, at the same time, its own RF module be able to accept to other sensor nodes send the data packet.
Fig.5 Flow chart of software design of sink node For each of the sink node, system requires that it can receive from the wireless sensor network data, and is able to broadcast data to other child nodes.
Online since: June 2014
Authors: Saad A. Mutasher, Ekhlas A. Osman
Based on the 1,000 hours experimental data, curve fitting and Findley Power Law models are employed to predict long-term behavior of the material.
Such times are needed to take to ensure the model covers all the range of experimental data and gives a prediction of theoretical behavior.
In order to extrapolate for 400,000 hours more data is required.
Plotting the creep strain data on a log-log scale for log (ε(t)−(εo) on y-axis and time on x-axis as shown in Figure 2.
The obtained creep data were in good agreement with Findley’s Power law.
Online since: April 2020
Authors: Yazid Rukmayadi, Yusvardi Yusuf, Mahmud Barizya, Syarif Abdullah, Nufus Kanani, Iman Saefuloh
Corrosion is one of the problems in the industrial world since the corrosion causes material failures that lead to damage to the equipment or failures in operations which bring to the amount of losses [3], some facts, based on data released by The Europe Gas the Pipeline Incident Group, show that the failure rate of the piping system that occurs in the European region alone is 0.575 per 100 km per year.
This can be seen from the value of the corrosion rate, where samples at a concentration variation of 4% at a temperature of 30°C and 50°C with testing for six days still have not experienced a reduction in weight and a weight reduction occurs at 70°C with a weight reduction of 0.001grams and the corrosion rate is 0.00751 mm/year.
The weight reduction occurs at 70 ° C with a weight reduction of 0.001 grams and the corrosion rate is 0.00751 mm / year.
Based on the test data, the concentration that can reduce the best corrosion rate of sodium nitrite is 4%.
This uniform corrosion causes a uniform reduction in thickness on the metal surface.
Online since: January 2006
Authors: Y. Futamura, Toshihiro Tsuchiyama, Setsuo Takaki, Koichi Nakashima, M. Suzuki
Figure 1 shows the change in dislocation density of cold-rolled ferritic iron sheets as a function of thickness reduction by cold rolling.
The dislocation density rapidly increases in the early stage of cold rolling below 10% reduction and then shows a gradual increase after that.
Dislocation density, ρ/m-2 0 20 40 60 80 100 Thickness reduction by cold-rolling (%) Annealed iron 1012 1016 1015 1014 1013 Measured plane Dislocation density of low-C martensite [3] IF ferrite Pure iron Low alloy ferrite [3] Dislocation density, ρ/m-2 0 20 40 60 80 100 0 20 40 60 80 100 Thickness reduction by cold-rolling (%) Annealed iron 1012 1016 1015 1014 1013 1012 1016 1015 1014 1013 Measured plane Measured plane Dislocation density of low-C martensite [3] IF ferrite Pure iron Low alloy ferrite [3] IF ferriteIF ferrite Pure ironPure iron Low alloy ferrite [3] Low alloy ferrite [3] Fig. 1 Change in dislocation density of cold-rolled ferritic iron sheets as a function of thickness reduction by cold rolling.
Data of low carbon martensitic steel are also shown in the figure.
The hardness of low carbon martensite is also shown for reference [3] the data shown in Fig. 5, 1.0 3 1 −= HV0.2σ .
Online since: January 2014
Authors: Yuan Xia Qin
Image Classification and Image Retrieval The format of images in image data base is PGM.
Firstly, the images in image data base receive image preprocessing.
Immesize function is used to adjust the images in image data base to the image with the same size.
The lower triangular matrix is extracted, and the achieved data receive clustering according to minimum distance method.
The above data is selected to satisfy the requirement of algorithm performance.
Online since: October 2004
Authors: H. Jazaeri, John F. Humphreys
The alignment of low angle boundaries was analysed from EBSD data and shown to be a function of grain size, strain and boundary misorientation.
The EBSD data were subsequently analysed by VMAP, an inhouse software package [5,6].
The mean lagb misorientation increases with strain from ~1o to 3-4o , which is consistent with previous investigations, but again the data show no clear evidence of the effect of initial grain size on this parameter.
Although lagb alignment can be determined from TEM observations, data of better statistical significance has been obtained from the analysis of boundaries in EBSD maps of material deformed to low strains [9].
Humphreys: VMAP is a suite of programmes developed for quantitative analysis of the EBSD data generated by the HKL Channel acquisition system.
Online since: June 2010
Authors: Yong Xiang Zhao, Hai Bin Hu
A probabilistic modeling in the form of a non-linear law is developed for reflecting the scattered test data.
Test a- and da/d -∆K data are given in Fig. 3.
Measurement The test minimum da/d -∆K data in Table 2 indicate the test results can not be directly used for measuring the material cracking thresholds.
The test da/d -∆K data and probabilistic curves of present material with C=50 % were exhibited in Fig. 4.
The measurement for the present material has verified the availability of the present modeling. 1.0E-08 1.0E-07 1.0E-06 1.0E-05 0 2 4 6 8 10 ∆K (MPa.m^0.5) da /d (mm/cycle) Test da/dN-∆K data ∆Kmin Average curve P-curves at C=50% Fig. 4 Test da/d -∆K data and probabilistic curves of present material with C=50 %.
Online since: October 2014
Authors: Dan Xue, Qian Liu
Visibility Data.
NCDC data had undergone extensive automated quality control (QC) to correctly decode as much of the synoptic data as possible and to eliminate many of the random errors found in the original data.
Ambient Air Quality Data.
The API data have been extensively used in studies on air pollution in China.
The API data for days with RH >90% or with precipitation were also screened out.
Online since: September 2014
Authors: Shuan Hai He, Chao Wang, Yuan Li, Shuai Luo
Through the long-term deflection observation results and the measured data of effective pre-stress of Humen bridge before and after reinforcement, using three-phase bridge long-term deflection calculation method, compare the measured data and the calculation conditions in three kinds.
Zhao Yu [3] analysis the crack statistic pre-stressed girder stiffness reduction method and the structure evaluation method.
Tab.2 The Judge table of the “flat beam” Distribution pattern The discriminant index Distribution pattern Simulation method Equal distribution the relaxation rate coefficient of steel beam Geometric distribution Single steel As the reduction coefficient to adjust the tension control stres mixture distribution adjusting the tension control stress, relaxation rate and friction coefficient Tab.3 The result of the perpetuity pre-stressing force of the Bridge Measuring point Prestressed steel beam number The measured average value(kN) The design value(kN) Distribution pattern index γ Distribution pattern 1# B7 181.34 170.47 1.02 Equal distribution 2# B7 176.32 170.47 1.03 Equal distribution 3# Z11 152.19 181.11 0.90 Geometric distribution 4# Z11 167.68 181.11 0.93 Geometric distribution 5# 30-1 169.55 154.6 1.03 Equal distribution 6# 31-1 159.71 153.4 1.04 Equal distribution In the table 2, : Steel beam stress theoretical values, :Steel beam stress test values, :tension control stress
Online since: December 2011
Authors: Wei Fan, Hong Wang, Feng Liu, Qian Xing
Definition 4: The recovery cost of incremental version is defined as operation steps of reduction process based on a complete version.
The property of multiple versions in multiple-node is generally evaluated from those factors--the total stored information of version, the version’s generation rate and data security and reliability of the version.
To store information in versions as small as possible, to generate recovery versions as fast as possible, and to increase data security and reliability as high as possible, are the goals of this article.
Considering the factors of stored data of versions and using 2 intermediate base versions, we end computing after two iterative calculations. 3.5 Algorithm Analysis 1) Effect of optimization.
Data security and reliability and version query efficiency of versions in multiple-node information system have been increased by middle complete base selected.
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