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This WCR reduction is postulated because of the two different liquids (water and hydrocarbon) competing for the same surface area (top metal coupon) to condense.
The monitoring of the experiment (temperature of the gas and steel surface) and data collection (condensed water volume) were conducted at least twice a day for a total of 7-days testing.
Other monitoring data included the pH of the condensed water and the observation of the bottom solution (e.g., volume reduction), but these monitoring data will not be discussed in this paper, as they are not within the scope of the research.
For example, at 20ºC of the delta temperature between steel and gas, the WCR of the experiment with condensate is 0.3 ml/m2.s while for the experiment without condensate is 1.1 ml/m2.s, and this is approximately a 73% reduction value of the WCR when the gas condensate was present. 1.1ml/m2.s Fig. 8 Water condensation rate experiment with condensate and without condensate When the condensation process took place in the system without the presence of condensate, only one liquid is expected to be condensed on the surface of the top coupon, i.e., the condensed water.

The construction of Radio Map is mainly classified into two methods: propagation model and data collection.
The most popular method for constructing Radio Map is data collection during offline phase.
Liu et al [22] propose a Label Propagation Algorithm with the assumption that similar RSS data should have similar labels
It aims to solve the problem that the training data in a source domain and the test data in a target domain follow different distributions.
Since manifold learning method is sensitive to noisy data, we can combine fuzzy logic techniques to make manifold learning method more robust.

This article studies the correlation between concrete proportioning and cement dosage in coarse aggregate through practices, discovers the importance of reasonable selection of coarse aggregate in economic cement mixing ratio configuration process, and realizes the implementation of project cost reduction in project design.
Based on the related laboratory data, different gap rate of crushed stone grain shape is got.
According to the experimental data of coarse aggregate proportion design accumulated in the years, it can be got that there is close relationship between concrete coarse aggregate strength, the dosage of cement, and the particle size in three levels: high strength, middle strength, and low level strength.
Table 2 19 to 37.5 mm graded gravel’s related technical indicators Specifications 19 to 37.5mm sieve aperture gauge sieve points accumulated triage Void fraction % 45 15mm 15.3% 92.5% 8.8mm 3.7% 95.3% Apparent density g/cm3 2.53 32.8mm 4.7% 4.7% 29.4mm 17.3% 18.6% Needle and flake particle content % 5.1 4.39mm 2.2% 98.5% 2.58mm 0.5% 97.4% Apparent density g/cm3 1.27 24.7mm 31% 52.5% 17mm 29.4% 80.6% Table 3 4.75 to 19 mm graded gravel related technical indicators Specifications 4.75~ 19mm sieve aperture gauge sieve points accumulated triage Void fraction % 45 4.68mm 32.9% 97.5% 2.58mm 3.5% 100.3% Apparent density g/cm3 2.49 27.4mm 2.8% 2.8% 20mm 2.7% 5.8% Apparent density g/cm3 1.36 15mm 7.1% 13.8% 8.8mm 42% 56.2% Table 4 Two gravels 4.75 to 19 mm and 19 to 37.5 mm reference configuration related experimental data and technical index 4.75to19mm 19to37.5mm needle flake particle content 3.69% apparent density total weight of gravel Mass percentage weight quality percentage 2262g 35% 462g
By using constructive concrete strength method, adjust mixture ratio design; Three is to effectively strengthen scientific management and strictly control aggregate weighing error and moisture content of raw materials, the corresponding operating personnel must also adjust mixture ratio in accordance with the measured data by manual or computer; Four is to strictly control concrete mixing time through the strengthening of construction control, with the aid of these advanced methods such as forced machine with the use of advanced equipment, and at the same time, also strictly control the mixture slump data so as to provide effective guarantee for the implement of corresponding mixture ratio design and concrete quality.

A reduction in scale of the AWJ devices including smaller nozzle and lower jet pressure for micro-machining applications has received considerable attention in recent years.
In order to improve data analysis as well as to get sufficient “as measured” data for graphic presentation, additional 28 tests from the combinations of some of the parameters given in Table 2 were considered.
It may be intuitively believed that the nozzle traverse speed does not affect the MRR while a reduction in the traverse speed may even reduce the MRR due to the increased interference between particles.

The measurement data is transferred from the sensor to the computer directly using Virtual Instrumentation (VI) LabView.
The velocity of the piston rod can be determined from the displacement measurement data. 2.
This implies that the magnetic field affects the reduction in the velocity of the piston movement.
Moreover, a magnetic field affects the reduction in the velocity of the piston under an impact load.

This technology enables about 2/5 of reduction of die design and manufacturing cycle and about 1/3 of reduction of die production costs so that the whole vehicle cost is greatly reduced and the market competitiveness is strengthened [1,2].
Calculating the K and the R from the data analysis method for orthogonal experiment design, as shown in Table 4.
Calculating the K and the R from the data analysis method for orthogonal experiment design, as shown in Table 5.

According to the data of Table 1 and Table 2, carbon emissions per unit added value can be computed in Table 3.
Research on Mechanism of Thrice Industry Structure Evolutions and Carbon Emission:An Empirical Analysis Based on Panel Data[J].
Targeting and design of energy allocation networks for carbon emission reduction[J].
Consistent and unbiased carbon dioxide emission multipliers: Performance of Danish emission reductions via external trade[J], Ecological Economics, 2010(69):988-998.

The summary of glass transition temperature (Tg) and storage modulus of epoxy nanocomposite data that obtained from DMA analysis (see Table 2) the reduction of Tg value with increasing of nanosilica content was certified using this method.
The slight decrease in the Tg could be the effect to the presence of a limited amount of epoxy resin (less than 5%), that can have some plasticization effect, while the reduction of the height of the relaxation processes can be related to the non-dissipative nature of the filler, which reduces the viscolelastic response of the composite.
Summary of glass transition temperature (Tg) and storage modulus of epoxy nanocomposite data that obtained from DMA analysis aStorage modulus at 25(°C) bStorage modulus at Tg +30(°C) Conclusion Epoxy nanocomposites were prepared using magnetic stirrer to ensure good dispersion of the nanosilica particles and that was proved by TEM micrographs image.

Fig. 1 Sintering cycle of the TiC/Cu system The electrical conductivities were determined from measurements with a digital eddy current conductivity meter(D60K)and four-probe tester(RTS-8)at room temperature, and the values were transferred to IACS (International Annealing Copper Standard) data.
When the powder was ball-milled 15h, the diffraction pattern of the powder shows a remarkable line broadening and an intensity reduction (Fig. 4a).
As it is shown in Fig. 4b, The X-ray diffraction data are evaluated to determined the grain size of the copper solid solution.
With increasing the milling time, deformation and fracture of powder filled in the pores, causing the relative density increased and porosity reduction, particle need to undergo large deformations to file pores, so reaches a certain density, prolonging ball milling time the material density increase is not obvious.

The soil compaction process, manifested in the reduction of pore volume, leads to an increase in its bearing capacity and to partial reduction of compaction [8].
Assessment of dynamic response of the vibrating roller - stabilized soil The experimental data used for the study case with a vibratory system characterized by the following technological parameters: , , , it have been considered a discrete variation of soil stiffness for different layers, k, ranging from up to for different successive passes (), while the excitation frequency or pulsation, , ranging from 50-500 rad/s.
Dissipated energy curves of variation depending on the pulsation and different k values Based on data processing and analysis, it can be concluded that the dynamic response during compaction process is determined by perturbation force through the influence of continuous excitation variation ranging from 50-500 rad/s, on one hand, and discrete variation of soil stiffness as an effect of passes number performed in the same layer, on the other hand.