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Online since: January 2013
Authors: Hiroyuki Yaguchi, Yasuto Hijikata, Sadafumi Yoshida, Shuhei Yagi
In this report, we try to apply the SCEM to the growth rate data at various oxygen partial pressures and discuss the oxidation mechanism of SiC more in details by making a comparison between calculated growth rate curves and the observed ones.
The figures indicate that: (1) the observed data show an abrupt reduction in the thickness region less than 10 nm especially in the case of lower partial pressure, (2) after the abrupt reduction they gently reduce, (3) the calculated curves successfully reproduce the observed growth rates though restricted in the mild deceleration region, (4) the calculated curves show the rapid reduction more remarkable as higher partial pressure, which is opposite tendency to that of observed data.
The figures and point (1) indicate that the growth rate in the abrupt reduction region slightly decreases with decreasing partial pressure [5].
Although the calculated growth rate curve is still deviated from the measured data, we consider that further refined parameters will make a better fit to the observed data.
The calculation results exhibit that a rapid growth rate reduction in the initial oxidation stage eased as lower pressure, which is opposite tendency to the observed growth rates.
Online since: September 2014
Authors: Jong Wan Hu, Jun Won Seo
WIM data were obtained from weigh stations located adjacent the bridge.
WIM data were obtained from weigh stations located adjacent the bridge.
At the final step, comparing the ambient truck characteristics of the SHM and WIM data is completed to identify ambient WIM trucks that closely match the characteristics from the SHM data.
In order to ensure that the SHM is able to appropriately detect damage of critical locations of the bridge, the field feasibility of the SHM including strain data collection, reduction, and evaluation processes was also validated in recent work (Phares et al. 2013).
The framework integrated Weight-In-Motion (WIM) data with strain data resulting from ambient trucks through a Structural Health Monitoring (SHM) system.
Online since: June 2012
Authors: Rauf S. Iskhakov, S.V. Komogortsev, E.V. Eremin, L.A. Chekanova, E.A. Denisova, O.A. Goncharova
Powders of Со-Р alloy with ultradispersed corundum (Al2O3) and detonation nanodiamond (DND) precipitates were synthesized by chemical reduction.
Chemical reduction method was used in present work to obtain nanocomposite materials.
Со-Р powders were synthesized by chemical reduction from CoSO4 solution.
Magnetization dependence on magnetic field for (Al2O3)7(Co90P10)93 composite measured at temperature of 2 K: 1 – experimental data, 2 – fitting by (2) Fig. 5.
Magnetization dependence on temperature for (Al2O3)30( Co90P10)70 composite measured in applied field of 20 kOe: 1 – experimental data, 2 – fitting by (3) Table 1.
Online since: January 2015
Authors: Song Wang, Shi Qian Zhao, Xiao Tong Hou, Tan Zhang, Jia Jun Liu, Wen Yue, Xing Liang Li
The surfaces were sputtered by Ar ion sputtering for 5 nm before the data collection in order to eliminate surface contaminants.
The data of hardness and elastic modulus were the average values from three repeated indentation tests.
When MoDTC is added, both of the average frictions are declined because of the friction reduction property of MoDTC.
So this lubricating system has both excellent friction reduction and wear resistant properties.
So the Mo film has excellent wear resistant property and good friction reduction property under ZDDP lubrication.
Online since: March 2015
Authors: Sri Harini
Several previous studies as the basis of this study conducted by [2] mapping of the forest land use taking into account the data spatial of plants and land contours.
Where the analysis data in diskriptif, so as to explain and describe the conditions of research objects clearly.
In this study used data on the Upper Brantas river basin [7].
The results of the data analysis can be described as follows: Tabel 1.
Data Statistics Balai KSDA in East Java, Department of Forestry, Jakarta.
Online since: April 2011
Authors: Li Ming Chen, Hui Zhao
When attribute in information system (is the set of condition attributes, is the set of decision-making attributes, an information system may be indicated conveniently with the data tabular form, therefore, information system is also called decision table.
RS is used to Discreting Sample Data.
Using the dynamic reduction method, with the help of SOM neural network, the paper carries on the reduction to the decision system (Table 2), and obtains reduction of , where .According to the actual situation in engineering fields, this article chooses the reduction of the smallest reduction .
Then, the data of sample 8 is used to be monitoring sample.
The evaluation model based on AHP-RS and RBF neural network realizes the advantages of the three parties and makes up for their deficiencies, and more, SOM neural network is used to discrete the continuous data, all which make the evaluation model more scientific and reasonable for grasping the hydropower project financing risk.
Online since: December 2012
Authors: Ju Long Lan, Ming Tian, Han Mo
Traditional IP multicast utilizes a multicast tree to transmit data packets.
Fig. 1 illustrates the implementation model of CSRA scheme, which is constructed by management plane, control plane and data plane.
So there will always be public data delivery paths among multicast trees, which are called shared links.
(2) State Reduction Ratio(SRR) Since multicast state in edge nodes (incoming and exiting nodes) cannot be reduced in any state reduction scheme, we only consider the state in core routers.
Large number of multicast groups and large bth led to high Aggregated Degree and high State Reduction Ratio.
Online since: July 2011
Authors: A. Chaboki-Khiabani, M. Bastami, M. Baghbadrani, M. Kordi
In addition, these experimental data were investigated using Taguchi approach to find the effective parameters of mix proportion.
The details of each HSC mix proportion used and the average retained strength data for each mix proportion are listed in Table 2.
A statistical analysis is performed to determine the statistically significant factors and the data analysis is presented in Tables 3 and 4.
Even thought, both decrease considerably, their reduction percentage is not associated
· Using these data, we have checked the data with Taguchi approach and it is found that the water to binder ratio is the most important factor in mix proportion in both compressive and tensile strength.
Online since: June 2014
Authors: Sreenivasan Sulaiman, Mohd Khairol Anuar Mohd Ariffin, S.H. Tang, Masha Nur Salsabiela Menhat
This research is conducted by analysing quantitative data from vessel sourcing database focuses on uncertainty recorded from January to August 2012.
Data of vessel Request Order (RO) with the actual requirements have been recorded from January 2012 to August 2012.Eight months of vessel chartering (VC) activities chosen to ensure having a complete data of purchasing cycle from tendering process to contract issuance.
To control the data evaluation, the first uncertainty that hit the sourcing process will be recorded as the uncertainty.
All data will be tabulated in graphical method, pie chart and tables.
Based on historical data of Putra Oil, percentage of reduction in DCR is approximately 2% for each additional of 30 days duration.
Online since: December 2018
Authors: Gunji Venkata Punna Rao, S. Nallusamy
Data collection was done by using stop watch time study and work study was done by video analysis.
TAKT time was calculated based on demand of entire cell and TAKT time against cycle time, based on these data the current state value stream mapping has been drawn by using i-Grafix 2009 software.
Data of cycle time of the operations under scope are video captured, which are then carefully analyzed to eliminate NVA and reduce NNVA.
Based on work standardization methodology there are three cycle time study were performed during data collection.
Line balancing concepts were applied for the existing layout, based on data collected for the standardization operations.
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