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To investigate the forming accuracy, formed part was measured by a three-dimensional sensing system and the surface of the formed parts was constructed based on the measured data.
At 150℃ and 160℃, exhibit similar values when forming pressures are lower than 0.04MPa, indicating that these thickness deviations at contract areas were significantly induced by the conventional thickness reduction during the shaping stage but not by dimpling.
For characterizing the dimples of dimpling mode 2, the profiles on the diagonal sections of formed parts were regenerated from three-dimensional data measured by a three-dimensional sensing system, and were compared with the profile of desired shape, as shown in Fig. 5.

Statistical analysis SPSS 13.0 software was applied to analyze all the data statistically.
All the data were described as mean ± s and were compared with t test.
Scores of the cohesion, emotional expression, successness, entertainment and organization in the 10 dimensions of Family Environment Scale in children in the asthma group were significantly lower than those in the healthy children group, especially the entertainment with the most significant difference, which could reflect good family structure factors, suggesting that it may be related to the reduction of outdoor activities and the limitation of activity scope caused by their allergic constitution in children with asthma.

This increases the possibilities in terms of large reductions and change in shape with less complex tooling and also reduces the required load capacity and cost of the forming machine.
Process and material parameters and their levels Parameter Sign Level 1 Level 2 Level 3 Mandrel speed (min-1) n 112 264 390 Workpiece geometry (-) pm radius R = 10 conical area cylindrical area Rolling direction of the sheet (deg) rd 0 45 90 Analysis of data The influence of process and material parameters was determined by analyzing the S/N ratio (Signal-to-Noise ratio).
Experimental plan with response(s) Experiment number Process parameters Response(s) n pm rd Average radial strain (-) S/N ratio (dB) 1 1 1 1 0,009 16,553 2 1 1 2 0,030 9,085 3 1 1 3 0,022 10,171 4 1 2 1 0,123 8,565 5 1 2 2 0,096 6,016 6 1 2 3 0,139 9,234 7 1 3 1 0,250 5,637 8 1 3 2 0,119 20,600 9 1 3 3 0,273 28,336 10 2 1 1 0,009 18,393 11 2 1 2 0,001 8,535 12 2 1 3 0,014 8,042 13 2 2 1 0,140 9,274 14 2 2 2 0,157 3,263 15 2 2 3 0,118 5,606 16 2 3 1 0,472 6,165 17 2 3 2 0,275 13,350 18 2 3 3 0,242 16,171 19 3 1 1 0,046 13,203 20 3 1 2 0,024 9,339 21 3 1 3 0,048 7,703 22 3 2 1 0,116 6,379 23 3 2 2 0,170 13,203 24 3 2 3 0,230 6,911 25 3 3 1 0,048 5,854 26 3 3 2 0,204 16,553 27 3 3 3 0,260 9,085 Fig. 2 S/N Ratio response graphs Table 4 Analysis of variance (S/N data) Source Sum of squares DoF Mean square Percentage of contribution (%) F n 14,530 2 7,265 1,61 0,76 pm 648,397 2 324,199 72,17 34,10 rd 17,333 2 8,667 1,93 0,91 n*pm 111,825 4 27,956 12,45 2,94 pm*rd 17,134 4

Ontology in artificial intelligence provides a new idea for product information semantic integration, and some researchers had been explored in product data integration [1] and single source of product data [2].
If we want to describe gear reducer concept of which reduction ratio is between 1.25 and 450, it is shown as: Along with design materializing, the product knowledge and principles of desgin need be described in detail design phase, many of which are expressed in rules.

Nowadays, this theory has successfully been applied to a variety of fields such as data mining, knowledge discovery, artificial intelligence, pattern recognition [1-2] and so on.
In order to better deal with the datasets with noisy data, it is essential to further present some extended rough set models that can be applicable to the (generalized) incomplete information systems with lost and “do not care” unknown attribute values.
Wu et al.: Dominance-based rough set approach and knowledge reduction in incomplete ordered information systems, Information Sciences,178(2008),p. 1219-1234.

The DS-30 Data Acquisition System is used to measure the pressure of flood.
The force on the flow surface is the summation of the flow pressures, which are fitted according to the measured data from 36 sensors.
Disaster Reduction in China, vol. 11, Feb. 2001, pp. 38-42, doi: 1002-4549.0.2001-01-010.

The integrated data acquisition system was used for data collection.
Funded by the Project Fund of Wuhan University of Science and Technology Research Center of Green Manufacturing and Energy-Saving & Emission Reduction Technology (B0925),the Hubei Province Key Laboratory of Systems Science in Metallurgical Process of Wuhan University of Science and Technology (C201002) and Science and Research Foundation of Hubei Provincial Department of Education (B20081104)

As the core members on their supply chains, metal manufacturers integrate the philosophy of energy saving and emission reduction and environmental protection into their supply chains to construct sustainable metal supply chains.
Most of them published sustainability reports (SRs), which provide accounts of corporate sustainability strategies, plans and performance to stockholders thus can be used as data resource.
Thirdly, the important sentences and paragraphs containing keywords were extracted from SRs and used as the data source for further analysis.

It shows that using anti- pressure resilience modulus to indicate the mechanical properties of ATPB materials, and testing the resilience modulus of APTB materials with different void ratio respectively will lead to the following analysis (Fig. 1): Fig. 1 Relational Curve Between Void Ratio and Resilience Modulus Through linear regression equation of the calculated data, we come to the following formula: (2) From the above data analysis, we can see that mixture’s mechanical performance decreases to a certain degree with the increase of its void ratio.
The reason is that the mixture with a thick gradation or large void ratio and its aggregates has a small contact area with its aggregates, which leads to the decrease of asphalt cementation and the reduction of the skeleton’s stability.

The reduction of the current, as a consequence of the flowrate increase, is related to the lower lifetime of neutral actives species in the discharge which decreases the ionization coefficient.
Now, we consider two situations: one corresponds to one data presented in Figure 2 (ton = 80 µs, t=40 min, T = 333 K and current = 0.12 A) for an Ar-10%O2 plasma and the other one corresponds to one data presented in Figure 4 (ton = 90 µs, t= 40 min, T = 333 K and current = 0.11 A) for an Ar plasma.