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Online since: June 2011
Authors: Claudio Shyinti Kiminami, Claudemiro Bolfarini, Walter José Botta Filho, Maria Dolors Barò, Sebastiano Garroni, Gisele Ferreira De Lima, Mauricio Mhirdaui Peres, Santiago Surinyach, Alberto Moreira Jorge
2Mg-Fe Alloy Processed By Hot Extrusion: Influence of Particle Size And Extrusion Reduction Ratio on Hydrogenation Properties Gisele Ferreira de Lima1a; Mauricio Mhirdaui Peres1; Sebastiano Garroni2; Maria Dolors Baró2; Santiago Surinyach2; Claudio Shyinti Kiminami3; Claudemiro Bolfarini3; Walter José Botta Filho3; Alberto Moreira Jorge Junior3b 1PPGCEM, Federal University of São Carlos.
Moreover, the mass spectrometry data showed only hydrogen releasing.
Online since: October 2012
Authors: Min Yang, Wei Wang, Jing Yao Zhao
Section 2 presents an interaction model framework and the methodology of structure equation models and. section 3 explores data process.
Data and Descriptive Analysis Date Collection and Processing.
After getting rid of the incorrect data according to effective and logical test criteria, data of 1235 nuclear families heads with complete household and personal attributes are available from database.
Second, since Suzhou is a relatively highly-developed city in china, the research will go deeper if other scale and types of cities can be introduced to the studies with more data available.
Choi..A structural equation model of activity participation and travel behavior using longitudinal data.
Online since: February 2011
Authors: Shao Jun Chu, Pei Xiao Liu, Pei Xian Chen
This new method is more accurate than the traditional method and much closer to the actual production data.
Thus, comparing to actual production data, the deviation is inevitable in burden calculation with coefficient of major elements recovery.
The burden calculation table can be obtained by sorting out the data above, and is shown in Table 11.
In the two methods for burden calculation, quantity of ore and coke is not far off the actual production data in factory A with maximum deviation of 5.5%.
The specific data is shown in Table 13.
Online since: October 2013
Authors: Jin Hui Lei, Ju Fang Li, Xue Xue Han, Chang Chang Zhang, Xiao Xia Zhao
Such as the classic C4.5 algorithm which evaluated from ID3 algorithm .Its shortcoming is the demand for the tree data scanning and sorting of data sets, which lead to inefficient algorithms.
ID3 algorithm uses a method called window that randomness to select a subset from the data set to avoid access to the entire data set.
Data Mining Concepts and Techniques[M].Fan Ming, Meng Xiaofeng translation.
Principle and algorithm of data mining[M].
The attribute reduction algorithm based on attribute similarity [J].
Online since: September 2013
Authors: Xi Yang Yang, Fu Sheng Yu
A novel semi-supervised Model For a given m-dimension data set , , the main propose of semi supervised clustering algorithm is to find , the membership degree of belonging to the cluster , by integrating the cluster information of labeled data, and the structural information of unlabeled data.
is a weight factor indicating the importance of the cluster information of labeled data.
The performance of critically depends on the shape of data set.
Different percent of instances from the whole dataset are randomly selected as labeled data.
Data set after dimemsion reduction Figure 3.
Online since: August 2004
Authors: Tae Eun Jin, Cheol Kim, Heung Bae Park, Chang Sung Seok, Ill Seok Jeong
We performed the neural network training using the 97 measured data in CASS materials by Aubrey and Chopra.
Fig. 2 (b) shows the target value that is ferrite content from the input data.
Therefore, we believe that if the trained neural network described in this study is used, we can effectively predict the ferrite content. 0 5 10 15 20 25 0 20 40 60 80 100 Data number Chemical composion(%wt) C Mn Si Cr Ni Mo N 0 10 20 30 40 50 020406080 Data number Ferrite content (Vol.%) 100 (a) Input data (b) Target data Fig. 2.
Neural network architecture for prediction output and Aubrey equation results of Charpy impact energy 0 100 200 300 400 500 600 700 0 40 80 120 160 200 240 280 Data number Ferrite(vol%), Aging temp( ℃), Aging time(×10 2hr) Ferrite content Aging temp Aging time 0 50 100 150 200 250 300 0 40 80 120 160 200 240 280 Data number Aged Cv (J/cm 2) (a) Input data (b) Target data Fig. 7.
Training data for prediction of Charpy impact energy For Charpy Impact Energy Prediction.
Online since: June 2010
Authors: Pyrgiotakis Georgios, Sigmund M. Wolfgang
(b) The TGA/DTA data for s-ANTs.
The Langmuir-Hinshelwood model was used to fit the data to  C /C0  et / where the parameter is the time required for 67% dye reduction and was used to compare the results.
The complete photocatalytic data is presented in Fig. 3.
Table 1 summarizes the results of the Raman data.
The commercial software that came with the instrument was used to smooth the data.
Online since: July 2014
Authors: Artem Frolov, Ludmila Chumadova, Artemiy Cherkashin, Luka Akimov
Nanomodified reinforced concrete out-performs an ordinary reinforced concrete in many features, such as: 1) Reduction of own weight of the structure due to low density of nanomodified cocncrete. 2) Modification of the reinforcement system and reduction of amount of reinforcement used in concrete. 3) Reduction of footing loads of the structure, so foundation design is simplified and quantity of earthworks is reduced. 4) Exclusion of general and special damp course from the structure. 5) Price reduction and acceleration of en bloc reinforced concrete building construction. 6) Increase of safety and reliability of antiseismic construction. 7) Reduction of number of aseismic isolation elements in building construction in areas with high earthquake activity. 8) Increase of fire-resistance of buildings and structures [1].
“Adding of rice husks and metakaolin coupled with superplasticizers, which are effective for this concrete, provides increase of compressive strength up to 70%, increase of concrete modulus of elasticity up to 15%, increase of value of time-yield measure of concrete from 0,44 to 1,19 measure of concrete equal in strength without modificators, reduction of the contraction shrinkage up to 30%, which influences positively on early crack resistance of reinforced concrete; it practically does not influence on drying shrinkage”.
The use of microspheres allows to get composition with density up to 800 kg/m3, and wherein strength characteristics could achieve datas 40-45 MPa.
Economy is also shown in reduction of an amount of used cement and plasticizers. 4.
Online since: October 2011
Authors: Bin Zhao, Yu Zhu Zhang, Wei Ran Zhang, Jian Cui
And the data of design condition generally has a certain margin.
Generally, it puts design condition as the scale, and fluctuates around the design condition, in other words, the changes of operating condition data in specific range are normal state.
The data about main technical and economic index in each condition are collected in WISCO and shown in Table 2.
In Table 2, the evaluation index data which come from actual collection and calculation shows that prediction condition is the best condition, its efficiency of waste heat recovery and efficiency of power generation are the maximum, and design values of each evaluation index are better than the index value of operating condition.
The data in Table 2 are real data by actually collecting, so the data have greater objectivity.
Online since: August 2013
Authors: Liang Li, Qing Chen
MBD definition model In the mid 90's 737-NX project, by using the DCAC/MRM technology system, the Boeing company makes the 737 series of product drawings of all models come ture,and the use of PDM system makes the data into a configuration management system, which makes the data consistency and traceability in the design, production and inspection, maintenance link.
The successful application of DCAC/MRM in the development cycle has shorten the 50% aircraft, change the cut in half, cost reduction of 25%,which greatly improves the user satisfaction.
(3)Put forward higher requirements for the quality of enterprise application personnel MBD data integration is the single product data source of the product life cycle development procession .Three-dimensional design tool is the main means to create it, this requires a greater range of engineering, technology, equipment, quality control and management personnel to understand the connotation of MBD technology, and can use the corresponding 3D design tools. 2.
These multimedia technology data and 3D digital products, tooling data completely replaced the 2D engineering drawings and paper process instruction, multimedia information technology training for workers, as well as in the technical basis for guiding workers of the production site. 4.
management, MBD data application, to develop MBD application software based on KBE, so as to develop the greatest potential of MBD technology. 4.4 Training MBD applied talents MBD data integration is the single product data source transferring the information in the product life cycle development.
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