Search results

Rough Set Theory Rough set theory is an excellent tool for handling incomplete and inconsistent data.
Under the condition of unchanged classification abilities, attribute reduction is to delete irrelative or unimportant knowledge.
The property data represents risk investment projects is regarded as a information of the research object, where risk investment projects have m indexes (columns), namely the property value set has n risk investment projects.
Step 2, Discredited of information table data, we get the total index A as well as all sets of each properties.
And finally, the data is verified to show the excellent performance of the model.

The fully reversed with high temperature results registered the most severe damage with tremendous of life reduction.
The creep was registered for responsible to the reduction in fatigue life.
Furthermore, the work suggested that the contribution to fatigue life reduction by creep and environmental effects was magnified by the applied stress.
From the results, two equations were fitted to each set of fatigue life data in order to predict the material fatigue life as follows in term of power law: (1) (2) Fig.4 Comparing log-log scale fatigue at room temperature and 350°C with R= -1 and 0.1 It is shown that the fatigue experimental data fitted by Basquin Equation is in log-log scale.
Temperature affects on fatigue behavior are shown in this figure regarding changes in position of data collected by similar stress ratio.

It was justified that the mineral modifier from amorphized rocks, regardless of the composition in the pre-autoclave period, acts as a structure-forming component causing the reduction of porous processes with the formation of a system with an improved micro- and macrostructure.
The calculation of the composition of the mixture was made based on the factory data.
Results and Discussions According to the data obtained, with the increase in the concentration of modifiers in the system, the increase in the volume of arrays was observed as compared with the initial control composition without an additive (refer with Table 2): up to 60% for a modifier made from perlite and up to 55% for an additive from silica clay.
The introduction of modifying additives to some extent intensifies the processes of expansion of the gas concrete mix and provides a reduction in their duration while reducing the proportion of cement in the composition of the mixtures from 8 to 35%, depending on the composition of the mixture.
According to the data obtained (refer with figure 1), the introduction of MM on the basis of perlite in the range of 10–50%, while reducing the density of composites, contributes to the increase in strength up to 30%, and the use of MM on the basis of the silica clay in the composition of the raw mix - up to 20%.

The result of this study presents data reflecting actual structure of availability and use of energy resources, which allows to identify necessary resources for ensuring sustainable social and economic development.
Data and Methodological Approaches Global energy intensity (total energy consumption per unit of GDP) fell down by 1.2% in 2022, faster than in 2021 but slower than the historical trend (-1.9% per year from 2010 to 2019).
This is still insufficient compared to the reduction of more than 3.5% per year required to achieve the 2°C scenario.
World Energy and Climate Data-Yearbook 2023. https://energystats.enerdata.net/total-energy/world-energy-intensity-gdp-data.html
[11] World Bank comparative data on Azerbaijan and Kazakstan https://ourworldindata.org/energy/country/azerbaijan?

Instead of structural changes which are more difficult and expensive, development of fuel technologies is preferred to provide reduction on exhaust gas emissions which are harmful to environment and human health.
Emission data have collected and converted by a computer program.
Using anisole as additive may occurs reduction at specific fuel consumption due to oxygen atoms in its molecules at high engine speeds.
Maximum NOx reduction provided by modified fuel with 3% anisole at all engine speeds.
· Proportional to reduction of CO2, there is increment of CO emissions at higher engine speeds

The most distinguishing characteristic of TPC was its reaction character at normal temperatures (30℃), which was of great practical significance for energy conservation and pollution reduction.
The most distinguishing characteristic of TPC is its reaction character at normal temperatures (30℃), which is of great practical significance for energy conservation and pollution reduction.
Admixtures Performance of concrete (cm) Admixtures Dosage Slump Fluidity 1 TPC 0.150% 20.0 41×39 2 HW 0.150% 11.8 － 3 HW×1.2 0.180% 21.7 43×45 4 HW×1.1 0.165% 19.5 38×40 Data of the experiment on water-reducing ratio of TPC are in Table 1.
The most distinguishing characteristic of TPC is its reaction character at normal temperatures (30℃), which is of great practical significance for energy conservation and pollution reduction.
For relevant experiment data, see Table 2.

The combination of 5% SF and 20% GGBFS was found to be useful for strength development and reduction of porosity in the AC.
Although several researchers investigated the partial replacement of fly ash [3] and bottom ash [4] instead of quartz rich sand or lime in AC production, unfortunately, up-to-date there are insufficient data available which discuss and examine propertiesof the AC when GGBFS and SF used together.
For both curing periods, the compressive strength data show similar trend of gradual increment along with higher percentage replacement of GGBFS except mixtures C-5SF-10GGBFS and C-0SF-20GGBFS at 28-day curing.
Actual values Summary AC is the highly-effective and energy efficient building material because of weight reduction, better sound absorption, and good insulation due to lower thermal conductivity.
Test results show that the combination of 5% SF and 20% GGBFS was found to be useful for strength development and reduction of porosity in the AC.

In the recent years, the feature extraction algorithms based on manifold learning, which attempt to project the original data into a lower dimensional feature space by preserving the local neighborhood structure, have drawn much attention.
LDA produces an optimal representation with the restriction that the ratio of the trace of the between-class scatter and the trace of the within-class scatter is maximized when the given data are linearly distributed.
But, when the data is distributed in a nonlinear way, LDA may fail to discover essential data structures.
Another technique called Locality Preserving Projections (LPP) [2] has been proposed for dimensionality reduction, which can preserve the intrinsic geometry of data.
Then, we first maps the input data into a potentially much higher dimensional feature space by virtue of nonlinear kernel trick, and in such a way, nonlinear features are extracted by running KNSMFA.

Finally, GA is applied in the optimization calculation of rolling schedule and a lot of simulation experiments are conducted with actual data.
Experience-based distribution method[1] is first used in the formulation of rolling schedule, with lots of measured data and big errors.
With a great number of actual data, a lot of model adaptive and procedure simulation experiments are conducted, showing that flatness control is improved compared with the existing schedule used in the actual production.
This constraint condition can guarantee the last two passes under pressure to keep certain amount of reduction, avoid too small pressure to make roll lost contact with steel, and then forme the virtual passes.
With a great number of actual data, a lot of simulation experiments are conducted, showing that flatness control is improved.

In the present study, a mathematical model for ironing in deep drawing is developed. 10% and 25% reductions are given to the sheet thickness and the results of the developed model are compared with the experimental data. 2.EXPERIMENTATION In the present paper the two processes of deep drawing namely warm deep drawing and Hydro mechanical deep drawing are compared with properties, i.e., Limiting draw ratio and punch load during forming operation.
A Data acquisition system, which is connected to the press, obtains inputs like punch travel, load applied on the blank, blank holding pressure from the press and is connected to the computer, where it directly outputs plots like variation of load with displacement and blank holding pressure with displacement.
The lubrication used for the reduction of friction between die and punch assembly is Molycote.
The predictions for higher oil gaps were not in agreement with the experimental data due to the fact that the data that was used to network has been collected from the experiments only at low oil gaps.
Fig. 7: Punch load Vs displacement graph from the data acquisition system at different blank temperature of 60 mm diameter blank with 25% reduction in thickness Fig. 6: Punch load Vs displacement graph from the data acquisition system at different blank temperatures with 65 mm blank diameters and 10% reduction in thickness Fig. 8 Comparison of thickness of 62 mm diameter blank Fig. 9: Comparison of 62mm diameter blank at 2000C for 10% and 25% reduction theoretical and experimental at 2000C and 4000C As it can be observed from Fig. 8 that almost similar trends were predicted in simulation as compared to the experimental findings.