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Results and Discussion Neuronography data are shown in Fig. 4.
Data on the long-range order parameter obtained by the relation between the superstructure and structure reflection intensities as shown in neuronographies, demonstrate its reduction from 0.63 for Ni3Mn to 0.35 for Ni3(Mn+1.9% Ti).
This results in the temperature raise of the phase order-disorder transition that is in good agreement with data obtained in the work [6] (see the polythermal cross-section in Fig. 3).
In fact, disordered alloys Ni3(Mn,Ti) have not been obtained at rapid quenching in ice water that is also in good agreement with data presented in the work of Gomankov et al [7].
This is proved by neuronography data obtained in the work of Gribov et al [3] (Fig. 4).

The data divide into two regions of Mw.
The empirical equation (1) derived for supported film can still hold to describe the data for the low Mw free-standing films with modified fittings.
This may suggest that the mechanism of Tg reduction is the same for both supported and free standing film, i.e. the free surface should be the reason of Tg reduction.
The larger the Mw is, the thicker the film that the Tg reduction happens.
It supports that chain ends are not important in the Tg reduction, and the Tg reduction arises mainly from the fast dynamics in the surface region.

LCCO2 allows us to compare the impacts of different building designs to the environment and find out the most efficient CO2 reduction strategy.
In this research, we used life cycle assessment（LCA） method to estimate the CO2 reduction of lower floored residential housing.
To resolve these problems, we modify and simplify the analysis steps and data to a streamlined life cycle.
Life span is an important data for building life cycle assessment.
Currently, there is no complete CO2 emission data for buildings in the renovation stage.

The Kansei Engineering is applied to the drum washing machine aided by a variety of engineering mean.Semantic differential(SD) is applied to extract the kansei tags.Multivariate statistical analysis method is also used for data mining.The data of design elements is processed by principal component analysis(PCA)and SPSS.
In order to ensure the rationalization of perceptual information to be stable and reliable , multivariate statistical analysis,PCA and SPSS software have been used in the data analysis process.
All selected product samples comprise a set X, where n is defined as the total number of selected product samples and k is the number of paticipants,as shown in eq.1 As the emotional evaluation varies from person to person, the raw data is filtered by examining the discreteness of the data which includes the calculation of average values as eq.2 and standard deviation test as eq.3.
PCA and SPSS are also discussed as the assistant date mining tool.The data of design elements is processed by PCA which is used to bulid the relationship between the user and product.
[9]Huiwen Wang,Rong Guan,Junjie Wu.CIPCA:Complete-Information-based Principal Component Analysis for interval-valued data[J].

Strain hardening will be described by means of experimental data.
In spite of giving a good aproximation of the data, the physical processes involved in recrystallisation are not reflected in the curves.
In all cases, fitting parameters took values which indicated that recovery was not active, based on the available data.
Substituting these data into the complete model (11) sgg=-37, srx=7.1, Qrx=61400 and, krx=91 MPa µm-1/2, with a residual standard deviation of 26MPa.
Isostrain sections through the 3-dimensional response surface, using the complete model with grain growth parameters fitted to metallographic data.

As the automobile-bodies point cloud had the traits of large geometric dimension, huge data and rigor reverse precision, the improved iterative closet point algorithm (ICP) is put forward.
It basically consists in finding the correct alignment between two or more sets of data, based on their intrinsic properties, and plays an important role in today’s computer vision.
Starting from an initial rough alignment of the data, the ICP processes iteratively.
The main advantage of the k-D tree is that it permits to use multi-feature data and to compute the real closest point.
So, it is the emphasis of future work that how to speed up the ICP algorithm by three methods: reduction of the number of iterations, reduction of the number of data points and acceleration of the closest points search.

There was a reduction in the unburnt hydrocarbons (THC) and carbon monoxide (CO) emissions by 15% and 89% respectively, but the NOx emissions increased by 78%.
HC emissions were found to decrease linearly with increasing N2 dilution and for a given quantity of fuel, the emissions reduction was at a constant amount.
Table 1: Engine specifications Displacement volume 399.25 cm3 Cylinder Bore 76 mm Cylinder Stroke 88 mm Compression Ratio 14:1 Exhaust Valve Closed 350o BTDC Exhaust Valve Open 225o BTDC Inlet Valve Open 12o BTDC Inlet Valve Closed 132o BTDC Dynamometer Direct Current with maximum reading is 50 Nm The operation of the engine used for the experimental work was managed and controlled by a PC-based data acquisition and control system.
For the exhaust emissions there were significant reductions in the emissions of CO and THC while NOx was on the increase at about 20% CO2 proportion in the mixture.
These findings, if implemented, will assist sustainable developments in the country through reductions in the consumption of crude oil.

According to the r-factor, SENSE causes the data collecting time to reduce and speed up.[11][12].
The reduction in SNR is caused by two factors, the first is the reduction in sampling time.
SNR Value Difference Test for MRI Phantom T2WI TSE SENSE with R factor 2 Between Before and After Denoising Non Local Means (NLM) Technique SNR p value r2 pre * r2 post < 0,001 where r2 pre indicates r factors 2 before denoising NLM r2 post shows r factor 2 after denoising NLM and * indicates the comparison SNR Data Fig 5.
This study used data from two R factor trials.
Rosseel, “On the Definition of Signal-To-Noise Ratio and Contrast-To-Noise Ratio for fMRI Data,” vol. 8, no. 11, 2013, doi: 10.1371/journal.pone.0077089

Of Plant & Architectural Engineering, Kyonggi University, Suwon, Gyeonggi 443-760, Republic of Korea (Corresponding author) aghkim@kyonggi.ac.kr, bhwjoh@hmglobal.com, cshinys@kgu.ac.kr Keywords: Retaining Wall System, Pre-stressed High-strength Concrete (PHC), Cast-in Place pile (CIP), Cost reduction, Time reduction Abstract.
Also, it is largely important to secure an accurate estimation of cost and construction costs reduction for successful project completion [3].
Co., Ltd. for their kind cooperation, and for providing me with plenty of data and encouraging my work on this study.

The application VM gathers the input data and sends the data to the application Virtual Machine owned by the IoT service provider offering a semantic model for the processing of the raw data.
The edge devices are the data feeders to the servers which perform required action on the data received accordingly.
Also certain challenges regarding the data reduction and privacy of the data are also discussed.
Data management 4.
“Taxonomy of Edge Computing: Challenges, Opportunities, and Data Reduction Methods”. sEAI/Springer Innovations in Communication and Computing, 2018