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Data collection and data pre-processing.
The measured data is read out from the PLC via OPC UA and archived in a uniform data structure in a database.
Data Acquisition in the PLC Program In order for the pre-processing unit to be able to connect autonomously to the correct data in the PLC data blocks, the control program must meet certain standards.
In these FBs, the standardized data is stored as part of this component in the corresponding instance data module.
The basic structure consists of an ID, time data, status data and energy data.

The thermal effects of the aluminothermic reduction reactions of the iron oxides have been analyzed starting from the hypothesis that in the powdery mixture, the reduction reaction takes place between an iron oxide or combinations of the iron oxides (in different proportions) and the metallic reducing agent – aluminum [6,7]. 3.
Thus, the analysis of the thermal effects of the reduction reactions of each iron oxide with aluminum (Eq. 1-3 and Fig. 1) revealed that the reduction reaction of magnetite has generated the greatest amount of heat, as in redox reactions [4, 5, 8]: 3FeO+2Al=Al2O3+3Fe (1) Fe2O3+2Al=Al2O3+2Fe (2) 3Fe3O4+8Al=4Al2O3+9Fe (3) ΔH, [KJ/Kg], oxide Fig. 1 The thermal effect evolution of iron oxides metallothermic reduction reactions with temperature.
The thermal effects of the metallothermic reactions of FeO, independently of the process temperature, are much lower than those generated by the aluminothermic reduction of magnetite (Fe3O4), respectively of hematite (Fe2O3).
ΔH, mixed oxide, [KJ/Kg] By thermodynamics point of view, all the metallothermic (aluminothermic) reduction reactions of iron oxides are possible (ΔG<<0) – (see Fig. 6), in all range of temperatures of interest.
Tochiyama, Chemical Thermodynamics of Iron, (13A) Part 1, OECD Nuclear Energy Agency, Data Bank Issy-les-Moulineaux, France, (2013), pp.92-109

PAE Power Gain Swept CW Data vs Frequency 0 10 20 30 40 50 600.8 0.9 1 1.1 1.2 1.3 1.4 1.5 1.6 Frequency (GHz) PSAT (dBm) and PAE (%) 5 10 15 20 25 Gain (dB) PAE Power Gain PAE Power Gain Swept CW Data vs Frequency 0 10 20 30 40 50 600.8 0.9 1 1.1 1.2 1.3 1.4 1.5 1.6 Frequency (GHz) PSAT (dBm) and PAE (%) 5 10 15 20 25 Gain (dB) Fig. 1.
WiMax is designed to allow much longer range wireless internet access than the currently used WiFi standard (IEEE 802.11), extending the range from 300 feet for WiFi to as much as 50 miles for WiMax, and with double the data rates (100 Mbps).
The result is a PFC front end with a 38% reduction in volume, and a 44% reduction in weight.
A 33% reduction in power loss can be observed for the SiC FWD circuit for this 3 HP drive.
Alex Lidow, CEO of International Rectifier, for providing data on global power usage.

CSG modeling and collection of feature information of a base-box of reduction unit were put forward, as an example.
Meanwhile, the chain of data and information ought to be provided for virtual manufacturing and NC machining, so as to reach the goal of guaranteeing the quality, being high productivity, and low cost, for the mechanical products.
Datums may be divided into two kinds, the relative datum and the absolute datum.
All the datums of FGEs form the datum set of the component: D={D1,D2,D3,… D18}
Example of CSG Modeling and Feature Information Collection for the Box-lik Component An example of the box base of a reduction unit is presented for explanation of employing CSG tree, datum system of FGEs, the topological relationship tree, the FGE set in rapid CSG modeling, meanwhile collecting initial data for CAPP and CN coding.

It was believed that the data obtained would contribute to understand the change of 20Cr13 hot ductility at different temperature, as well as provide a foundation for designing hot forming process.
The reduction of area increased as the temperature increased from 800 °C to 1200 °C.
In temperature range of 800-950 °C, the reduction of area was 52-68%.
At 1000-1200 °C, the hot ductility is good, and the reduction of area is 82-93 %.
At 1250 °C, the hot ductility starts to get worse, and the reduction of area is 83%

Its advantage is that the obtained data is accurate, but the process is complex, data acquisition is difficult, and the investment is large.
The data come from the national platform of science and technology basic conditions.
The data come from "material environment load data sharing resource date base", which is one of the date base of national material science data sharing network.
The consumption of raw materials less than 1% of the product weight is rejected based on the data accept and reject criteria since it has little influence on the evaluation results, so as to simplify the process of data collection and evaluation.
Calculation was made with the survey data from enterprises.

PEs are employed to realize data transmission, reception and manipulation.
Each flit has 2 flag bits and 8 data bits.
The head flit contains routing information, data flit data information, and tail flit end-of-packet information.
In TRANS traffic, IAR algorithm has achieved a reduction in average latency by 45.7% and 16.3%, an improvement in throughput by 44.4% and 18.2% over DR algorithm and SAR algorithm respectively.
In COMP traffic, IAR algorithm has achieved a reduction in average latency by 12.3% and 5.3%, an improvement in throughput by 9.7% and 5.2% over DR algorithm and SAR algorithm respectively.

The database consisted of 976 test data having unconfined concrete strength ranging from 6.2 to 169.7MPa.
In addition, these FRP-confined HSC models were developed based on limited experimental test data, which were often obtained only from the tests performed by the originators of the models.
This necessitates the use of a hoop rupture strain reduction factor (kε,f) for calculating the actual confining pressures at ultimate (flu,a) (Eq. 1)
(7) and (8) (9) Comparison of Model Predictions with Test Data The performances of the four existing models that are applicable to FRP-confined HSC (i.e. [2-5]) and the model presented in this paper were compared using the test results of FRP-confined HSC, with unconfined concrete strengths (f’co) greater than 55 MPa.
Statistics on performances of models in predicting ultimate conditions of FRP-confined HSC Model Prediction of f’cc / f’co Prediction of εcu / εco Data AAE (%) M (%) SD (%) Data AAE (%) M (%) SD (%) Miyauchi et al. [2] 166 36.5 135.6 23.0 160 35.1 113.1 45.6 Mandal et al. [3] 166 65.6 164.7 78.5 160 197.1 285.2 295.2 Berthet et al. [5] 166 16.0 111.7 16.2 160 30.9 71.0 20.1 Xiao et al. [4] 166 25.2 123.3 18.7 160 34.7 130.7 38.4 Proposed 166 10.8 97.2 13.0 160 20.2 98.0 27.3 Conclusions This paper has presented the results of an investigation on the axial compressive behavior of FRP-confined HSC.

Feature Extraction based on Principal Component Analysis When an algorithm has to process a huge input data, or when this input data is suspected to be redundant, this data will be transformed into a representation set of features.
The data is acquired using an OROS OR36 system.
Fig. 3b shows the results of applying PCA with no data reduction.
Nonlinear Dimensionality Reduction.
Intelligent Data Analysis, 1(1-4):131- 156, 1997

Experimental data coming from quasistatic tensile tests, carried out on specimens exposed to laboratory air, to a NaCl solution (3.5wt%) and to a methanol solution (95%), will be reported.
These data will be then compared with literature ones, referring to axial-fatigue tests [7, 8] performed on similar specimens exposed to the same environments, with the intent to decouple the effect of the alternating load and of the aggressive environment.
The tests results were then compared with previous experimental data, obtained by fatigue tests carried out on samples having similar geometry and in the same environments [7, 8].
The methanol fatigue data were taken from previous experimental campaigns [11].
Comparison between the quasistatic incubation tests (q-s) results, in different environments a), and comparison between these data and the fatigue ones b) [7, 8].