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Introduction The low density of magnesium is an attractive attribute for applications where weight reduction is important.
The inset shows the same data as in the main chart but with a logarithmic scaling of the consumption axis.
Aluminium and zinc price data from LME [5].
Magnesium price data from Asian Metal [6].
First and foremost are in areas where weight reduction is critical, namely consumer electronics and transportation industries.

Efficient data mining model design for a large database in the cloud computing environment ZHAO Zhan-kun Hebei Software Institute, Baoding Hebei 071000 Keywords: cloud computing; Data; mining model; Abstract: Efficient data mining model design for a large database in the cloud computing environment is studied.
Therefore, looking for effective data mining methods for large databases, has a very broad space for development in the field of data processing [2].
Due to the amount of data in the large database is gradually increasing, making data in large database presents a strong diversity under cloud computing attributes environment, leading to during the process of data mining in large database based on the traditional tree-based PSO method, the adopted data main element characteristics and associated features have significant volatility, resulting in unable to obtain accurate data mining results [3].
Reduction method based on a new fuzzy rough set in fuzzy information system and its applications to scheduling problems[J].Computers & Mathematics with Applications,2005,51(9-10):1571-1583
Data Preparation for Web Log Mining [J].

X-ray diffraction (XRD) data of AuNi alloy was acquired by a Bruker D8 advanced X-ray diffractometer using Cu Kα1 radiation (λ = 1.5406 Å) at a step rate of 0.02 °/s.
Compared with the fcc Au data (JCPDS, No. 4-0784), the diffraction peaks shifted to higher 2q values.
These data were agreement with the initial compositions of Au and Ni.
Methanol tolerance is an important criterion for selection of cathode materials for the DMFCs, which can be determined by comparing the data obtained from the solutions with and without methanol.
The sample data for plotting were taken from Fig. 4c at the potentials of -0.6, -0.7, and -0.8 V, respectively.

This paper focuses on a new method of aerodynamic drag reduction.
This conclusion will have profound guiding significance in the aerodynamic shape designing and the aerodynamic drag reduction of an automobile.
The traditional methods for drag reduction include integral optimization, local modification and adding drag-reducing devices [2,3,4,5].
CFD method is efficient and cost saving, and besides, it can simulate the condition and obtain the data which experiment cannot [6].
Drag Reduction Based on Isobaric Surface The simulation of flow field around an automobile has much similarity with a pipe flow.

When the data are linearly inseparable, a non-linear kernel that maps the data into the feature space non-linearly can handle the data better than the linear kernels.
The computer assisted screening dataset for lung cancer is a large data set.
The data set has 53,200 training data points and 81,260 testing data points, each record has 24 attributes.
Fig. 3(b) shows “training time” vs “training data size”.
On the basis of this framework,it is more suitable for classification of large data sets.

Data are collected online during the test using a Distributed Control System (DCS) (Honeywell) and saved to a hard disk.
In the test, all gasification data were recorded in the DCS.
Characteristics of gas components in reduction zone.
We can obtained that CH4 in the reduction zone was generally between 4% and 10%.
Growth rate of three zones was obtained and shown in Table 2.Experimental data showed that, growth rate in oxidation zone and reduction zone was about 100 mm/h.

Boin 1, b 1 Helmholtz-Zentrum Berlin für Materialien und Energie, Hahn-Meitner-Platz 1, D-14109 Berlin, Germany arobert.wimpory@helmholtz-berlin.de, bboin@helmholtz-berlin.de Keywords: instrument control, data acquisition, simulation, dead time reduction, proposal submission, Finite Element Modelling [FEM] Abstract.
All aspects of instrument control, data acquisition, simulation and analysis are expected to merge in the future.
This could be done with the aid of a data format such as NeXus [8] which contains many more layers of information than are normally stored in a typical data file.
This constant availability of position and status data would be essential for simulations and collision avoidance.
The simulation can also be used to correct possible aberrations in real-time, interacting with the data acquisition and data analysis.

Network packet loss rate testing Collect data through No. 4,5,6,7 sensor nodes.
Export log data from the coordinator node database, the test results is shown in Table 1.
So it indicates the data transmission stability and reliability.
Table1 Loss packet rate statistics of data transmission Sensor node Transmit packet Receive packet of coordinator node Packet loss rate /% 04 336 334 0.60 05 336 336 0 06 336 335 0.3 07 336 334 0.6 Average value 336 334.75 0.375 Data acquisition test The oxidation-reduction potential, pH value, temperature measuring instrument uses the AZ8651 oxidation-reduction potential meter, CT2016A slurry pH detector, AZ8891 waterproof probe thermometer respectively.
Achieve powerful data management capabilities by combining with embedded database SQlite.

Introduction Complex mechatronic products design is a typical knowledge-intensive process, design knowledge such as existing product information, data, principles, rules, and others in the process of design are constitute a complicated dynamic information system[1,2].
Design rules extraction mainly carried out from three aspects: data reduction, knowledge mining and rules extraction; (2) Ontology processing of design knowledge and task.
To obtain the push rule sets of design knowledge, select a set from the attribute reduction sets, and its equivalence class can be denoted as.
Yin, Approaches to knowledge reduction of covering decision systems based on information theory, Information Sciences, 179(2009)1694-1704
Zhang, Approaches to knowledge reduction based on variable precision rough set model, Information Sciences,159(2004)255-272

The input and output data was from this report.
Table 1 is a summary of the raw material consumption contributions for the production of 1 kg of clinker as complied from the inventory data sheets.
The coal input data from the coal mill scale inventory and the coal consumption is 0.1460 ton standard coal per ton clinker.
Other pollutants including several kinds of heavy metal output data are from the report of the Beijing Environmental Protection Bureau.
Considering the formal fluctuations of emissions, some data are shown in min and max form.