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Data evaluation is crucial for gaining information from sensor networks.
ML is a suitable approach for the evaluation of sensor data [4].
Hence, agents can carry learned models separating code (ML algorithms) and data.
Fortuna1, Using Machine Learning on Sensor Data.
Kosina, Learning Decision Rules from Data Streams.

The hot rolled sheets were pickled and subsequently cold rolled up to 0.5mm end thickness with 70% reduction.
The MTM-FHM software [10] was used to calculate the orientation distribution functions (ODFs) from the pole figure data obtained from the X-ray texture goniometer.
These materials were further cold rolled down to a reduction of 10% reduction.
After slight rolling reduction the surface was again examined in the x-ray texture goniometer and the phi2-45° sections are shown in figure 4.
The critical amount of light cold reduction @ 10% triggers the recrystallisation kinetics to lead the inward growth of surface grains along with their orientation at 800 0C.

Surface Reconstruction Based on Laser Scan Data Y.P.
The error of surface comes from the process of data smooth, data reduction and parameterization.
Functions of the System The system as shown in Fig. 1 consists of scanning data input, points data preprocessing, curve and surface reconstruction, result evaluation and interface with other system.
Tables 1-2 are the measured scanning data of the object in crosswise.
Conclusions An integrated system for scanning data with data preprocessing and surface model reconstruction functions is successful developed.

Table 3 The elongation, shrinkage of section, tensile strength, Brinell hardness of ZL101A alloy Quenching water temperature Elongation/% rate of reduction in area /% tensile strength /MPa Brinell hardness /HBW 25℃ 2.49 2.96 236 69.5 50℃ 4.80 3.65 318 71.3 70℃ 6.45 4.95 325 72.8 90℃ 4.85 3.28 305 70.6 Figure 2 Metallographic microstructure of the sample Figure 3 Fracture morphology of the sample Test results By comparing the metallographic structure and fracture analysis under different multiples, according to the data of tensile strength, elongation, reduction of area and hardness.
(3) Elongation and reduction of area: the relationship between elongation, reduction of area and quenching water temperature is shown in Figure 4.
The reduction of area is the highest at 70℃.
When the quenching water temperature is lower than 70℃, the reduction of area increases with the increase of temperature, but when the quenching water temperature is higher than 70℃, the reduction of area gradually decreases.
In summary, the following conclusions are drawn: 70°C elongation, reduction of area, and tensile strength are the highest, and Brinell hardness is slightly lower.

Up to 80% and 33% reductions of biofilm mass were demonstrated on P. aeruginosa and S. aureus, respectively.
Table 1 Biofilm formation on PMMA resin 0 Vanillin (%) 0.1 0.5 commercial S. aureus 0.206+0.019 0.138+0.022a,b 0.170+0.040a,b 0.257+0.057 P. aeruginosa 2.382+0.027 0.441+0.197a,b,c 1.356+0.190a,b 2.430+0.162 S. pneumoniae 0.102+0.002 0.116+0.0005 0.109+0.0005 0.112+0.002 * data expressed as mean optical density + SD a significant difference from 0% vanillin group b significant difference from commercial group c significant difference from 0.5% vanillin group Approximately 80% and 44% biofilm reductions were noticed in groups of 0.1% and 0.5% vanillin against P. aeruginosa as compared with 0% vanillin group while 33% and 17% biofilm reductions were observed against S. aureus (Fig. 1).
The 0.1% vanillin group exhibited a significant reduction of P. aeruginosa biofilm mass compared with 0.5% concentration.
Up to 80% and 33% reductions of biofilm mass were demonstrated on P. aeruginosa and S. aureus, respectively.
Interestingly, the 0.1% vanillin group exhibited a significant more reduction of P. aeruginosa biofilm mass compared with 0.5% concentration.

The reduction effect of water pressure is more and more obvious from the tunnel crown to the elevation where the drainage holes are provided.
The reduction effect of water pressure is more and more obvious from the tunnel crown to the elevation where the drainage holes are provided.
Generally, for the invert is closer to the drainage hole, it enjoys better reduction effect regarding to the water pressure behind the lining walls than tunnel crown.
Nevertheless, for the water pressure behind the walls at the tunnel crown represents the overall characteristic of the water load reduction around the segment lining, it is still recommended to take the water pressure behind the walls at the tunnel crown as the reference for evaluating the reduction effect.
It is worth mentioning that: the quantitative data in this paper is gotten under special physical mechanics parameters for water head and wall rock, which can only be used as the reference for similar projects rather than for direct design.

Based on the data statistics at production site and the general rules for market transaction, the square metre, m2, of window is taken as the functional unit.
Data calculation principles
(2) The production data of steel lining adopt those of 100% carbon steel, about 10% of scrap steel is recycled during the production process of carbon steel, but no related data is found, so it is not considered in calculation
(5) Data on the assembling process of windows adopt the internal actual production data of enterprises.
Table 10 Design parameters of rooms Design parameter Data Indoor design temperature in summer 26℃ Indoor design temperature in winter 20℃ Per person occupied area 33.98m2/person Lighting power density in living room 7W/m2 Equipment load 3.8W/m2 Fig. 6 Reference building model illustration See Fig. 6 for the model built with e-Quest software according to the above parameters.

Data were analyzed statistically by repeated measure ANOVA test for each brand of mouthwash.
Significant reduction in salivary pH was observed when using MW5 (p=0.001).
Data analysis.
Data was analyzed using ANOVA for each brand of mouthwash.
Data analysis was done using SPSS version 23.0.

This study will investigate data on changes in the atmospheric environment in Taiwan over the years, and will correlate them to temperature and relative humidity within the comfort range for human beings.
Therefore, a focused analysis of climate data can not only give building users a healthier and more comfortable environment to live in, but also help achieve energy conservation in buildings.
Data from the Central Weather Bureau (CWB) in Taiwan over the past three years (2011-2013) are also included in Fig.1 for comparison.
Tai: The Study of Military Green Building Design in Meteorological Data (Master’s Thesis, Chung Cheng Institute of Technology, National Defense University, Taoyuan, Taiwan 2012)
Chang: Life Cycle Assessment on the Reduction of Carbon Dioxide Emission of Buildings (Ph.D.

The experimental data were measured in transmission and reflection arrangement.
The measured data are corrected, normalised and the experimental pole figures are calculated.
The experimental data were measured in transmission or reflection arrangement.
The measured data are corrected for absorption, irradiated volume, and they are normalised.
The experimental data processed in this manner are used to calculate the coefficients of expansion to express the measured direct pole figures using spherical functions.