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There are two ways to establish a sound data base: Manual data gathering, which is always associated with great effort or the usage of “big data”.
There are a few approaches which investigate data aggregation in particular as a type of data mining.
Data model.
Figure 3: Data model Technical model.
At this point the aim is the reduction of the model’s complexity.

The design process starts from receive the requirement data, elaborate the data to the design specification.
Literature Reviews The problem of minimum volume preliminary design of simple and multiple-stage spur gear reduction units has been a subject of considerable interest, since many high-performance power transmission applications require low weight.
Another gear data were according to the standard of gear design.
Table 3 The rolling mill gearbox calculation data.
Data Value Input torque / Revolution speed 15.9 [kN-m] / 1450 [rpm] Reduction ratio 2.3:1 Input shaft / Output shaft diameter 115 / 150 [mm] Driving gear / Driven gear teeth number 21 / 48 Module 6 Pressure angle 20o Helix angle 15o Conclusion In this paper we have shown how a systematic design or engineering design method can be used to solve a design problem of a double stage gear unit.

It analysed the change regulation about the two parameters which are rate of wheel load reduction and overturning coefficient during running of the train.
Two dynamic parameters is selected to analyze which are rate of wheel load reduction and overturning coefficient.
From the figure 3, we can see that when the vehicle runs at the speed of 50km/h cross the curves, the rate of wheel load reduction of the 1st wheelset is 0.0038.
From the data and figure 6, we can get the result that the impact of the lower speed passed the surplus superelevation is better than the higher speed passed the deficient superelevation.
For the absolute value of these data, the overturning coefficient of the deficient superelevation is the biggest.

Figure 1 represents the flow chart for the research methodology and the way of approach to the problem statement and how data were collected.
Current Process Chart Data collection consists of time study for each operation in the manufacturing process.
The data pertaining to part manufactured in the shop floor is given in Table 1.
The line balancing diagram for P5 model is drawn using the collected data as shown in Figure 7 with cycle time for each process and TAKT time.
Data Analysis TAKT Time Calculation: TAKT time is calculated for both P3 and P5 model as given below.

On the other hand, slope data slices at four locations could interpret landslide potential well.
In this study, a landslide risk was analysed using the Digital Elevation Model (DEM) data, which represents the topography, slope, hill shade, aspect, and curvature data related to landslide susceptibility  [17].
Data and Methodology The DEMNAS data is a spatial dataset that contains elevation or altitude information with a resolution of 0.27 arc-second provided by the Indonesia government, a finer resolution compared to the Shuttle Radar Topography Mission (SRTM) data, which has a three arc-second resolution as a global digital elevation data.
This study analysed the slope, elevation, aspect, and curvature data.
Result and Discussion Analysis of DEM data Current DEM data provide topographic information and hold potential for application in landslide potential analysis studies  [23].

The simultaneous production of water and oil causes lots of negative effects on the reservoir performance such as significant reduction in oil recovery, corrosion, the cost of oil and water separation, environmental pollutions, and etc.
Additionally, since it is not well-matched with its observation data, by the use of SimOpt software, a reasonable match between the simulated and observed data were achieved.
After achieving a reasonable match between the observed and simulated data in SimOpt, by the use of ECLIPSE 100 software various scenarios are investigated.
This event results in a significant reduction of oil relative permeability and an increase in water-relative permeability, which finally decreases the reservoir recovery factor [2].
According to the geological data, this reservoir contains three faults, which divide the reservoir into four parts but one equilibrium region because of the transmissibility of the faults, and there are 12 production wells (Fig. 1).

The results indicate the feasibility to the use of the HSA despite the reduction of the mechanical properties of the concrete.
Despite the lack of data on major research associations and ready-mixed concrete plant present on the national scene, is currently estimated an index of waste average of 7%.
Extrapolating this concept, according to data from [2] this index points to a volume of about 400 million cubic meters of concrete waste a year around the world.
According[1-4] waste concrete management in ready-mixed plant generate numerous direct and indirect benefits, such as: · -Reduction in the consumption of non-renewable natural resources; · -Reduction of areas destined for landfill; · -Reduction of energy consumption; · -Reduction of pollution in cement production, for each ton of clinker produced generates approximately one ton of carbon dioxide (CO2) in the atmosphere The manufacturer the admixture used in the tests (Grace Construction Products), the HSA is a product which in addition to fresh concrete stabilizes the cement hydration process, keeping the concrete in a fluid state for a longer or shorter time, depending on the dosage thereof.
Figure 1 – Equipament ADICAL reading data Experimental program Method.

In this paper, the experimental data concerning the effect of three types of dust pollutants (red soil, ash and sand) on the performance of PV panels (mono-c, multi-c and a-Si technologies investigated) have been investigated.
The system data are: PV power rating = 10 W, PV voltage = 12V, battery voltage = 12.9 V, load current = 0.5A and room temperature = 28 oC.
Second, obsrvation is when 10 g/m2 of red soil sprinkle on the PV (pollutant deposition) more reduction in PV voltage noteced as shown in table 2.
Fig. 2 Reduction in PV voltage due to the three pollutants Conclusions Results of detailed experimental study, carried out to identify the dust effect on PV performance.
In addition, with time (increasing of temperature) more reduction observed.

It has been reported that even Ni-based contacts formed in the n++ region exhibited a steep reduction of contact resistivity in an annealing temperature range > 900°C.
This reduction cannot be explained by the carbon vacancy induced donor model (Vc model) proposed by Han and his coworkers [Appl.
We speculate that this inconsistency was caused by a misinterpretation of XPS depth profiling data.
Summary Ni-based (TLM) contacts formed in the n++ region exhibited a steep reduction in contact resistivity with annealing at TA > 900°C.
The carbon vacancy induced donor model cannot well explain this reduction.

One such possibility is the reduction of atmospheric carbon dioxide emissions, a major greenhouse gas widely thought to be responsible for global warming.
Analysis of the results obtained is in good agreement with literature experimental data.
Experimental values were used as input data in the membrane simulation.
Synthesis of reverse‐osmosis networks for waste reduction.