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This is equally true for liquefied natural gas (LNG) transportation in which any possible reduction in capital and operational costs will attract the attention of the ship-owner.
Data could then be generated from this model to facilitate the intended investigation.
According to [1], a mathematical model can produce two types of information: (1) knowledge of the system being modelled, and (2) data observations from a system’s inputs and outputs.
This model was used to generaate data that could be used to train an Artificial Neural Network (ANN).
Data Collection The generation of simulation data for the LNG carrier, started with the selection of the most appropriate independent variables for each component where the selected variables were those which would have the highest impact on the vessel parameters.

Problems centred on the non-availability of data.
Generally data was found to be sparse and lacking.
The primary data collected were aggregates per year of the data collected from the companies already mentioned in the methodology.
This greatly affected the data quality.
Opportunities for reduction of resource depletion and environmental pollution have been identified.

The martensite structure of the strengthened layer during such overall processing in comparison with the martensite structure of volume and strengthened base is characterized by high level of particle size that is specified by reduction of the original austenite grain due to very high heating and cooling speeds as well as small time of steel stay at high temperatures.
Distance from surface, [mm] Collapse resistance, [mm] Wear, [g] Brinnel Hardness 15 0.34 0.51 325 30 0.41 0.72 313 45 0.48 0.71 300 60 0.53 0.82 294 It is evident from the given data above that as far as withdrawn from rolling surface collapse resistance (enlargement) of rim layers and wear slightly increase, and hardness is reduced.
Important feature of such heat treatment is not only increase of a disc impact strength at room temperature but reduction of wheel steel threshold cold-shortness in strengthened condition.
One of the main reasons of crack resistance increase when plasma processing is increase a martensite dispersion ability what is specified by size reduction of the original austenite grain due to high heating and cooling speeds, as well as with less stay of steel at high temperatures.

Despite the advantages in terms of load decrease, springback reduction and increased formability, the elevated temperatures the tools are subjected to may determine severe thermal-mechanical cycling, increased oxidation and wear, which influence the tools service life and the quality of the produced parts.
Introduction The demand for weight reduction in vehicles has increased significantly over the last ten years, since the new regulations for CO2 emissions control were introduced.
Data about the duration of the different process phases, which were later on utilized for the wear test design and set-up, were recorded during industrial trials carried out on a hot stamping plant [10].
Normal load evolution as function of: (a) sliding speed; (b) normal load applied Summary Despite the advantages in terms of load and springback reduction and increased formability, hot stamping is characterized by high wear of the tools that are subjected to severe thermal and mechanical cycling and increased oxidation.

The results of previous research indicate that the high wettability and surface roughness at the micron scale were for the synergistic effect of reduction on cell adhesion and growth. 1.
Objectives of the current research studying experimentally, the development of biocompatible coating on the surface of Ti-6Al-4V using TiO2/HAP by EPD technique, experimenting the reduction of contact angle wettability and dissolution behavior of metallic implants in (NaCl 0.9% and Ringer's solutions) and assessing the produced composite bio coatings materials part will be performed via SEM and XRD analysis, as well as mechanical properties such as micro hardness. 2.
Experimental data micro-hardness of coated and uncoated samples.
The results of previous research indicate that the high surface wettability and surface roughness at the micron scale were for the synergistic effect of reduction on cell adhesion and growth.

For the production of the panels, the elephant grass (CA) was used, without particle size reduction, and Eucalyptus sp.
In 2013, according to the data from ABRAF, the processed wood chipboard industry represented at about 11% of the Brazilian forest production [3,4].
It is important to highlight that the low density of the panel can favor fungal attack, causing reduction, mainly in its mechanical properties [14].
There was no ganulometric reduction of the elephant grass particles.

Then principal component analysis was used to establish assessment model of drinking water, which could ensure that under the condition that the primitive data information was in the smallest loss, a small number of variables were used to replace the integrated multi-dimensional variables to simplify the data structure.
Because of the existence of the relationship between these indicators, therefore, how to use a small number of new indicators of several unrelated to replace the original most relevant indicators and data loss and to make them fully reflect the minimal prerequisite information as the original problem amount of multidimensional variable dimension reduction, o simplify the problem, it is particularly important[1].Principle is based on principal component analysis, fewer variables replace the comprehensive multidimensional variables to simplify the structure of the data, the original index less is integrated into several main components, then the contribution of these principal components was right weighted average number constructed a comprehensive evaluation function[2].As a multi-index analysis, the evaluation function, the weights of the principal components of its contribution rate which reflects the main ingredients with the proportion of raw data information of all the amount of information
Data should be standardized, so all the data on the same criteria to measure the level and make it possible to see the pros and cons.
If these data are not be standardized, the effect of dissolved oxygen will be greater than the total phosphorus.
Thanks for the Environmental Protection Bureau of Fuxin City by providing city drinking water quality monitoring data.

Using secondary data, the paper identifies the benefits of vegetation in and around buildings to include improvement of indoor air quality through the aesthetics quality of the environment and concludes that vegetation in and around building will in no small measure contributes to saving energy consumption.
According to [2], the building sector has the largest potential for delivering long term, significant and cost-effective greenhouse gas emission reductions and thereby recommended improving building energy efficiency to mitigate greenhouse gas emission and climate change.
The paper employs secondary data to elicit information on the impact of vegetation on solar control towards enhanced thermal comfort and energy performance in building Building Envelope and Thermal Comfort in Buildings The building envelope is the intermediate barrier (separating boundary) between the outdoor and the indoor environment.
The large-scale use of cool materials in urban areas leads also to indirect energy savings due to the increased solar reflectance that contributes to the reduction of the air temperature because of surface heat balance at the urban level.
Vol 14, 2. 172-181 [23] World Health Organisation (2016) Urban Population Growth, Global Health Observatory Data. www.who-int/gho/urban_health/situation_trends/urban_population_growth_text/en/ [24] M.Sala, G.

In this work, the vapor composition of the distillation process and the total pressure were estimated to obtain basic data for process design and integration.
When a solid cathode made of a stainless steel is adopted, only uranium ions can be reduced by utilizing the reduction potential differences between the ionic species.
K could be calculated from the Gibbs energy data [6] and, then, be used to estimate the vapor pressures by Eq. 4 where p(MClx) and a(MClx) are the vapor pressure of the vapor phase and the activity of the liquid phase, respectively.
As for the liquid phase of the considered system, there are not enough data to determine specified parameters for a model and we used an ideal liquid solution model.
Barin: Thermochemical Data of Pure Substances (VCH, USA 1993) [8] B.R.

The test data showed that the accuracy of the small UAV airborne pod system stabilization met the requirement of transmission line inspection.
Its static stress and deformation data verified the structure design reasonableness of the small UAV pod system.
Fig. 7 A small UAV equipped with pod system Fig. 8 Schematic of UAV inspection As followed as table 1, the trial parameter in this test, people can observe the situation of the pole by using the Pod system video image data.
Conclusion Aim at the demand of Overhead power transmission line inspection, the spring damping vibration reduction structure were designed and manufactured by biaxial three framework small unmanned aircraft system.
Ultra-high pressure test for overhead power transmission line inspection has been tested with UAV, the experimental data results shows that small unmanned aircraft carrier pod system stability precision meets the demand for high voltage power transmission line inspection.