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The temperature was recorded using a data logger (GL240-UM-801, GRAPHTEC).
Effect of roll diameter on gap where solidificationstarted The effect of roll diameter on reduction of semisolid metal calculated from the gap shown in Fig. 11 and the strip thickness shown in Fig. 4 is shown in Fig. 12.
The reduction decreases as the roll diameter increases.
Roll diameter (mm) Reduction (%) Fig. 12.
Effect of roll diameter on reduction calculated from solidification starting point and strip thickness.

To predict the profile as well as the actual width of the billet is not only essential to determine the adequate reduction for the following passes, but also important to fulfill the size requirement with an optimal number of working passes.
There equations generally deal with geometric factors of the rolling, such as size of the billet, reduction, roll radius etc., but not including parameters such as temperatures, rolling speeds, heat transfer and so on.
Compared to the isotherm, the non isotherm calculation requires accurate thermal physical data that are not always available.
They are determined exclusively by the geometric factors of the compression, i.e., the size as well as the shape of specimens and the reduction.
In case that the temperature gradient is low or null, ∆R is determined primarily by the geometric factors, i.e., the size as well as the shape of specimens and the reduction.

The stiffness reduction ratios for the damaged conditions are also given in the table.
It can be shown that the trend in the stiffness reduction ratio corresponds well with that in the RLC value.
Table 1 Natural frequencies for the undamaged and the damaged conditions Division 1st Bending Mode [Hz] 2nd Bending Mode [Hz] 3rd Bending Mode [Hz] Damage ratio [%] UD 9.578 28.050 46.050 0.000 D1 7.865 20.190 35.380 22.36 D2 9.570 27.300 46.560 0.26 D1+D2 7.845 20.080 34.910 22.62 Table 2 RLC values for the damaged conditions Division 1st Mode [%] 2nd Mode [%] 3rd Mode [%] Stiffness Reduction Ratio [%] D1 67.43 51.81 59.03 77.64 D2 99.83 94.72 102.23 99.74 D1+D2 67.09 51.25 57.47 77.38 Estimation of Relative Load-carrying Capacity for a PSC girder bridge A series of tests were conducted to verify the capabilities of implementing a real-time RLC assessment based on the ambient techniques.
Johnson, Natural Excitation Technique and Eigensystem Realization Algorithm for Phase I of the IASC-ASCE Benchmark Problem: Simulated Data, J.
Pappa, An eigensystem realization algorithm for modal parameter identification and model reduction, J.

Then slurry was dried at 110 °C and annealed at 550 °C for 2 hours. [10] Morphology of samples was documented by scanning electron microscope TESLA BS 500 and JEOL JSM 7600F and phase analysis was carried using diffraction techniques from experimental data measured by X-ray Philips PW 1710 diffractometer using a Co anode and a secondary graphite monochromators.
After activation of the surface of red mud the reduction of Ca, which is caused by a reaction of calcium ions with HCl, was observed.
Activation again caused a reduction in calcium phases, but iron oxides, which prevailed in black nickel mud, retain their original form.
A comparison of Fig. 7 and 8 shows that the activation of the surface of black nickel mud caused significant fragmentation of particles, that ultimately increased the specific surface area mainly due to a reduction in particle diameter.
Studying the X-ray diffractograms of activated and non-activated forms of red mud and black nickel mud was determined that activation of red mud lead to a significant reduction in CaCO3 content and activation of black nickel mud caused a significant decrease of CaCO3 and schorlomite.

In this paper we have investigated the influence of different post CMP wet cleanings on copper hillocks reduction.
As can be seen in Figure 1, defectivity maps show that a significant hillocks reduction can be obtained with P1 or citric (1-2 def/cm2 vs 150 def/cm2 without cleaning), whereas no reduction can be obtained with HF.
Anyway, as can be seen in Figure 4, the reduction obtained with citric acid is not the same as the one obtained performing the cleaning immediately after the CMP (Figure 1) : the defect density is in this case 28 def/cm2 vs 5 def/cm2 found with citric done immediately after the CMP.With P1 on the contrary the hillocks‘ defect density is lower than 1 def/cm2 for both 15s and 60s process times.
Defectivity analysis performed on wafers with different CMP-SiN q-times (between 24 h and 168 h) do not show any difference in terms of hillocks (Figure 8a), in spite of XPS data on flat wafers that show that already after 2 days post CMP the most part of the native oxide is already grown (Figure 8b).

Meanwhile, the result data would be analyzed, and the relationship between the number of candidate points and the time matching would be explored.
Experimental Results and Analysis Data of Experiments.
The data of the two experiments is shown in Table 1.
The data of the number of candidate keypoints and the time matching in two experiments are marked on the scatter plot in Fig. 1.
Fig. 1: Data plot and linear regression Shown in Fig. 1, a "+" represents a data point.

Firstly, the Gabor histogram feature of images should be extracted, and local sampling was conducted to reduce the amount of data processing.
The integration process selects the maximum values of direction and scale, encodes and integrates the maximum indexes of Gabor direction features from every scale and direction; besides, it reserves information of Gabor sub-filters with the most distinctive feature change, and thus effectively represents the changes among different facial expressions; meanwhile, it shields data which contribute little to facial expression recognition, and thus excludes inference to facial expression recognition from those data.
Multi-channel fusion of Gabor features Dimensionality reduction and classifier We adopt principal component analysis (PCA)[7], linear discriminant analysis(LDA)[8] and PCA+LDA to conduct dimension reduction process, and nearest neighbor method as classifier.
In terms of CMU database, since the data volume of each facial expression is imbalanced, the paper only selects 222 images of 4 expressions with relatively large amounts: joy, anger, disgust and surprise from 96 persons.
Experiments show that such method can effectively reduce data volume and enhance recognition rate.

But mine safety information is active, dynamic, and spatial closely to location, so, the information system of coal mine should be systematic which contains enormous amount of information data [3].
Work can’t be continued until the risk reduction Ⅰ Red Emergency Rescue Medium The risks that do not want to be seen.
Comprehensive rights management (access and data permissions, tree directory permissions) is designed.
This approach allows developers achieve the menu control rights and data rights by simply defining.
That includes: a) The algorithm and model needs more data examples to constantly modify and development. b) The mine emergency rescue system is a complicated system.

However, an excessive size causes the turbulence at the inner side of the wing resulting the output reduction.
The Analysis of Measurement Data.The result values as Table 1 are acquired after the automobile running winds according to the above condition.
The result of the analysis of Fig 3’s data is shown as following.
And, the measured data are as Table 2.
(2) The analysis result of the measurement data per passing distances is shown as the order, 11m > 8m > 5.5m > 3m > 15m > 0m > 20m >Before Entrance 1m > 25m

The results of data reduction from PCA projections through Principle Component 1 and Principle Component 2 regions are able to detect the presence of pork mixture in beef and chicken.
ADC Data from AS7341 Normalized Spectra XYZ CIE Tristumulus Fig. 3.
Data Analysis with Principal Componen Analysis (PCA) Data analysis was carried out on the spectra measurement results of each meat.
Measurement data stored in CSV form is analyzed using the PCA method by looking at the results of reduction and projection through PC1 and PC2 regions that are able to explain the percentage of classification of each beef, pork, chicken, mixed beef-pork, and mixed chicken-pork.
[39] Ams Osram Group, Data Sheet As7341 11-Channel Multi-Spectral Digital Sensor, (2020).