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Instead, this paper evaluates some of the more elaborate mathematical models that have ever been developed on microstructure/mechanical property correlations in steels and relates them to the data obtained from this study.
The %elongation and %reduction in area were calculated from Equations (4 and 5), respectively
Results and Discussion The amounts of microconstituents in different specimens are shown in Table 2; each data point is an average from a set of 20 measurements.
In a similar study on stainless steel, Simmons [7] found that isothermal transformation at 700oC had no effect on tensile strength and %elongation but resulted in a decrease in %reduction in area.
Equations (7 and 8) predict, with the use of the data in Tables 1 and 2, a tensile strength and %reduction in area of 501 MPa and 56%, respectively for the as-received steel; experimentally determined values were 486 MPa and 72%.

Other data has shown that the solubility of Mn is not greatly affected by the presence of Zr, with only a marginal decrease reported [12].
Example maps and the statistical data obtained are presented in Figs. 1 & 2.
The segregation behaviour of Zr and Mn across a dendrite can be accurately simulated by a previously developed model that couples thermodynamic data with an analysis of solute partitioning and back diffusion (ALCAN Thermodynamic Package Prophase [17]).
STEM mode EDX measurements were performed on selected particles across a grain from the boundary to the centre and the data is presented in Fig. 6.
The reduction in Al3Zr dispersoid density resulting from the addition of Mn is probably related to a lower Zr supersaturation during homogenisation.

Based on the analysis of the Tobacco Company’s database marketing data, it can be found that in practice the basic mass data need to be gathered (dimensionality reduction) on a number of dimensions, then the result data set can be operationalized.Also in this process, it will consume a lot of hardware and software resources since the size of basic data is too large that resulting in overall operating performance is quite low.By using MapReduce computing model in Hadoop distributed computing platform, data in database marketing could be operated in a way of dimensionality reduction or multi-dimensional analysis.That is to say,the processing tasks of massive data are performed by Hadoop, to realize massive data processing and low coupling of real-time data processing, and improve the speed of system analysis and computing. 2.Hadoop Distributed Computing Framework and Related Technologies Hadoop in Apache Software Foundation is an open source distributed computing platform,its core design
For this relational data structure, it is necessary to convert its data structure so as to deal with data by MapReduce model after Hadoop swallowing the data.In this paper,when designing MapReduce computing model in dealing with relational data approaches, it is necessary to do a Cartesian product from relational data in various dimensions and metrics data collection according to the related key values.
In consideration of clear expression,in this paper,the untreated data sets that extracted from other data sources in HDFS are called Original data sets,and the data sets that produced by original data which had processed by MapReduce model are called Derived data sets.
Data in each row of original data files correspond to data in each row of relational database with comma as field separator,if field separator conflict with the character in field,it can choose another characters that do not appeared in the field,or replace the comma.
Through the above analysis of data structure, We can apply data in MapReduce computation model for flexible data processing.According to the data requirements of promotion response model ,it needs to count up the number of cigarettes purchased in a price category,so as to determine the value of customer attribute.

The double angle drill is effective in control of delamination in drilling of CFRP due to reduction of the thrust force.
Meanwhile, in drilling of A7075, the small wedge angle of the upper edges on the double angle drill is not effective in reduction of the thrust forces.
In another model, the cutting force was predicted with making the chip flow model using the orthogonal cutting data.
The following orthogonal cutting data were used for cutting of CFRP and A7075 with TiAlN coated tool: For carbon fiber reinforced plastic (CFRP): (2) For aluminum alloy (A7075): (3) where the units of angles, the shear stress and the uncut chip thickness are radian, Pa and m, respectively.
In drilling of aluminum alloy, A7075, a small wedge angle of the upper edges on the double angle drill is not effective in reduction of the thrust force.

The current mainstream digital information integration methods can be generally divided into three types: (1) materialization method, also called as data warehouse method, is used for storing the integrated data sourcing from all data sources; (2) virtual method, also called as middleware method, applies a structure completely different from data warehouse; (3) materialization+ virtual method, also called as mixed method, makes compromise optimization on materialization method and virtual method, and then buffers important, less-changed, or commonly-used information locally with information buffer pool technology, but still acquires other information directly from information sources.
Conclusion First, compared with the traditional way of acquiring natural disaster monitoring and forecast information, the comprehensive information platform for the prevention of natural disasters based on ocean ships has attained a qualitative leap in the improvement of disaster prevention and reduction aid decision making.
Certainly, it is expected that the newest-generation ocean ship disaster prevention and reduction aid decision information system can be sooner born.
Meteorology and Disaster Reduction Research 3(8):211-214 [4] Fuxiang Xu (1998) Marine Disaster Characteristics and Disaster Reduction Strategies.

In this paper, we have considered a reinforced concrete dome and vault, where the bending moment and strain energy were used as objective function to be minimized using genetic algorithm, and model reduction method by proper orthogonal decomposition based on the results of finite element analysis of gradually changed design parameters.
In the present, a model reduction technique via POD-RBF, which is based on initially calculated structural response data of different rise to span ratios, has been used.
The POD is a statistical method for data analysis employed for model reduction in many fields [14, 15].
The structural response, known here as snapshots, this data which is expected to be correlated is stored in matrix U.
Pettarin, Crack identification using model reduction based on proper orthogonal decomposition coupled with radial basis functions, Structural and Multidisciplinary Optimization, (2016) 1-10

The experimentally collected data of this study provides the basis for further studies including tribometer tests and advanced friction modelling.
Figure 8 Optical data for the lubrication system pickled - dry at a stroke rate of 9 min**(-1) Figure 8 shows the optical measurement data of the lubrication system pickled – dry at a stroke rate of 9 min**(-1) that shows no sign of slippage based on the geometric data, given in Figure 4.
Data of the workpiece rotation confirms this (Figure 8, right).
Data of a specimen with sufficiently formed grooves shown on the left side and one with insufficiently formed grooves shown on the right side.
Lubrication system: zinc phosphate - dry Looking at the data for the lubrication system pickled-polymer these observations can be confirmed (Figure 11).

digital data service level function.
If selects the upper limit method, is only after achieving the upper limit the newly built data point inserts in the hole, then the process load big reduction, this needs the hash table to complete from ID to the handle mapping relations, in memory fast localization data point.
Access to the RDSS WS by a team composed of WS Method, each WS to the data object features (Dataset) form of data manipulation function .RDSS masks the specific structure of the data source for the business logic provides a consistent and transparent data access.
In the field data multi-timeliness request high situation, to reduce to between the client side report data change news round-trip number time delay as well as the minimum client side and server's, selects the data subscription method to provide the real-time data.
Inquiry string of character Query, user Username; This WS function by the data set form seal data manipulation function, returns to this data set by the SOAP form.

In contrast, the second and third valuation method is generally considered when the data can not satisfy the application requirement of the first kind of method.
(3) Measurement of yield reduction caused by farmland destruction Since a variety of crops can be cultivated in a certain area of land, it is necessary to calculate yield reduction of each crop [13].
(4) Measurement of yield reduction caused by environmental pollution Environmental factor that leads to yield reduction mainly includes air pollution and water pollution.
(4) Where, V4 is yield reduction caused by environmental pollution; Pi is price of i crop; Qi is yield per unit area of i crop; S' is the polluted farmland area; K is number of crop type; R is yield reduction rate (in China, yield reduction rate caused by air pollution is in commonly 5 - 10%)
To measure the cost, we need to know the data such as operating, monitoring, repairing and daily managing costs per unit of mineral product in cleaner production process.

Data Automation System by using Computer Controlled Stepper Motor M.
Data Automation Systems Data acquisition and data acquisition systems (abbreviated with the acronym DAS) typically involves the conversion of analog waveforms into digital values for processing [1].
The most common Data Acquisition System interfaces are the PCI bus, PXI bus, Ethernet, USB and Serial I/O.
This is considered to be very significant reduction of power by about 90%.
References [1] “Data Acquisition System” http://en.wikipedia.org/wiki/Computer_port (hardware) [2] S.