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Test data are statistically analyzed and passing ability is evaluated according to the requirements of GB 1589-2004.
Test data are statistically analyzed and passing ability is evaluated.
Fig. 1 Test schematic Fig. 2 Result of Test Analysis And Evaluation on Test Data (1) 2-axle 40 feet container semitrailer 32 times data are collected in turning clearance circle test in mm, the same as follows, as show in Fig2.
(3) 3-axle van semitrailer 30 times data are collected in turning clearance circle test, as shown in Fig. 4.
Test data are statistically analyzed and the passing ability is evaluated according to GB 1589-2004.

From relevant researches regarding to the evaluation of shipping performance, the methods of evaluation could be classified into two major categories: 1. one was the Financial Ratio Analysis; and other one was the Data Envelopment Analysis, DEA.
This study adopted factor analysis to proceed aspect reduction, and utilized Mean Test to analyze on difference of the financial performance resulted by the global economic crisis.
Empirical proof By considering the access of obtaining research data and scope of companies, this study has selected all the stock market listed shipping corporations in Taiwan as the research object.
Factor analysis During the process of obtaining the factors, this study has taken 6 years period (2001~2006) of data from nine corporations, using 18 financial ratio variables, totaling of 936 variables, to conduct factor analysis.
However, from the data indication, the shipping industries were still influenced by the global economic crisis.

These were produced by altering chemical composition, finish rolling temperature and reduction below the non-recrystallization temperature, i.e. austenite pancaking, and characterised in terms of microstructural constituents, grain size distributions, texture and fractography.
The different microstructures were produced by varying the finish rolling temperatures (FRT) both above and below the non-recrystallisation temperature (TNR), i.e. between 950 and 800 °C, and the total rolling reduction of the prior austenite grains (PAG) below TNR, i.e. the level of austenite pancaking (RTOT).
Fig. 3 shows the effect of KId-ref. on the transition temperatures TT with the fitted slope coming from the data of Ref. [5] and the standard deviation bands from the combined data of Hannula et al. [8], Pallaspuro et al. [5,9–11] and Kim et al. [12].
Considering its physical relevance, the fractographic evidence and the data from Kim et al. [12], average cleavage fracture unit size around the brittle fracture initiation sites can also be used in Eq. (1).
For both of these, the standard deviation is 16 °C based on new determinations of d80%, which, in addition to the previous determinations using RD-TD sections, now include data from TD-ND sections in the case of the S960 material.

The reduction rate of water absorption was the greatest when the rice straw was soaked in seawater after SH agent for 14-day and which had the biggest maximum elongation and maximum tension yet.
Basic steps of grey correlative method are as follows: analyzing the data and setting an ideal sequence as the reference system, if there is a sequence that is the closest to the ideal sequence, it has the largest relative degree and it is the optimal scheme.
Liu analyzed the experimental data of chemical ingredients and slaking index by using grey correlative method [18].
Experimental Data Experimental data of water absorption, maximum elongation and maximum tension of rice straw which soaked in seawater, running water and seawater after SH agent for different time are shown in Table 1.
The reduction rate of water absorption is the greatest when the rice straw is soaked in seawater after SH agent for 14-day.

Then to predict with the data of highway subgrade.
To predict the subgrade data (measured data from reference[5]) of segment H055 (K19 +560), part of XuSu Freeway located in north of Jiangsu province.
Grey's idea is: Through the appropriate way of accumulation, change the data columns which are random and positive into a non-negative increment data columns.
The GM (1, 1) model with first-order nonlinear equation and one variable requires that time-series data should change smoothly.
According to the measured data from one practical engineering [5], the establishment of GM (1, 1) model, preparation of the corresponding Matlab program code in Appendix one.

Meanwhile measurements both HRV and PRV under still finger show only 0-3.33 % difference for each of data groups.
First is parallel data acquisition using ECG and SpO2 measurements for still condition using previously calibrated sensors to maintain the accuracies of the measured data.
These data are taken as reference for further analysis.
Acquired data from both systems are retrieved using biomedical instrumentation KL-710, and stored the data in format of *.txt for further processing.
For the ease of data visualization the following labels are used: i.e.

The EIS data showed that the transition of two time constants corrosion stage to three time constants corrosion stage.
In the cathodic polarization, the oxygen reduction would be the main reaction on the working electrode surface.
Anodic dissolution reaction initiated at the center of the electrolyte droplet and the cathodic reduction reaction occurred preferentially in the surrounding region of the hemispheric electrolyte droplet.

Because of this, STEP standard contains not only geometrical data bust also other product data, not included in such data exchange standards like IGES or VDA-FS.
ISO 14649-1 [8] contains the introduction and basic information abort the data structure, ISO 14649-10 [9] contains feature definitions, and process data.
Turning -specific data is described in ISO 14649-12 and ISO 14649-121.
Data structure The simplified data model of STEP-NC is presented on Fig. 1.
Industrial automation systems and integration – Physical device control – Data model for computerized numerical controllers – Part 10: General process data, 2004 [10] ISO 14649-11:2004 Industrial automation systems and integration – Physical device control – Data model for computerized numerical controllers – Part 11: Process data for milling [11] B.

When investigating the stress, it was found that a larger radius leads to a reduction in stresses.
Complementary material data like yield strength and tensile strength were supplemented by calculations with JMatPro so that a classification of the calculated stresses to the bearable loads can be made.
By comparing the data, a statement can be made about the probability of crack formation and plastic deformation.
Key Findings In order to be able to make a statement about the influence of the radius on the stresses, the data from the stress calculations are dealt with first.
The chosen simplifications related to the reduction of the simulation time by using non-heat conducting components saved resources.

Taking the moderate resolution imaging spectroradiometer (MODIS) remote sensor data as the data source, the aerosol optical depth of Shanghai area on December 6, 2013 is inversed from the use of second simulation of satellite signal in the solar spectrum (6S) and NASA V5.2 algorithm, and then the formation has already been analyzed from the three aspects of human activities, weather situation and foreign pollutants.
It can provide the references for haze pollution monitoring and early warning using remote sensor data.
Data source and research method In this paper, the MODIS remote sensing images serve as the data source throughout the course of the study.
S. satellite, whose data can be freely received and used by worldwide users.
The analysis results shows that there is only continental aerosol model corresponds to the fundamentals of the V5.2 algorithm for MODIS remote sensor data.