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This is some of the data collected from the interview based on the experience as a from Aurum Synergy Group members.
Other than that, some relevant data for this report are collected include articles and journals as the primary data.
Reduced Supervision A reduction in on-site labour means a reduction in supervision time and costs.
Research Methodology Data collection methods has been done through two ways such as interviews and observations.
Research sites chosen will be the main data sources and the research begins with the research title selection.

The sphere spiral method is utilized to generate the sampling boresight directions by virtue of obtaining the uniform sampling data.
Label the training data,;, whereis the ith input vector with known binary target, the original SVM classifier.
To obtain the more uniform sampling data, the sphere spiral method is utilized to generate the sampling boresight directions [3].
If inconsistent with the design requirements, the need to re-determine the training sample data and training parameters, until it meet the design requirements.
Burges, in: A tutorial on support vector machines for pattern recognition, edited by Data Mining Knowl.

The theoretical results show good agreement with the experimental data, and the ligand contributions should be considered due to the strong covalency of the systems.
(1) Here gs (» 2.0023) is the spin-only value. z and z' are the spin-orbit coupling coefficients, k and k' are the orbital reduction factors, and P and P’ are the dipolar hyperfine structure parameters for a 3d8 ion in crystals. k is the core polarization constant.
Utilizing the cluster approach containing the ligand p- and s-orbital contributions [18], the spin-orbit coupling coefficients, the orbital reduction factors and the dipolar hyperfine structure parameters can be expressed as: z = Nt (zd0 + lt2 zp0 /2) , z' = (Nt Ne)1/2 (zd0 - lt le z p0 /2) , k = Nt (1 + lt2 / 2 ) , k’ = (Nt Ne)1/2 [1- lt (le+ ls A)/2] , P = Nt P0 , P’ = (Nt Ne)1/2 P0
The group overlap integrals, the cubic field parameter Dq (in cm-1) and the average covalency factor N, the molecular orbital coefficients Ng and lg (and ls), the spin-orbit coupling coefficients (in cm-1), the orbital reduction factors and the dipolar hyperfine structure parameters (in 10-4 cm-1) for the Fe0 and Mn- centers in Si.
Based on the present cluster approach calculations, the anisotropies (or the relative differences L’/L - 1, with L= k and z) are about 40% - 98% and 14% - 70% for the orbital reduction factors and the spin-orbit coupling coefficients, respectively.

However, it is quite difficult to predict based on real data with a high amount of data.
Methodology Data Acquisition.
Data Condition Data Labels Label Encoder 1.
Data Final Training No.
Data Test No.

In order to verify the data calculated, the following experiments are conducted to characterize it.
Preparation of titanium by electrochemical reduction of titanium dioxide powder in molten SrCl2–KCl [J].
A study of preparation of titanium metal by the electrochemical reduction of titanium dioxide in molten salt [J].
Behavior of calcium chloride in reduction process of titanium dioxide by calcium vapor [J].
Direct electrochemical reduction of titanium dioxide in molten lithium chloride [J].

Although the sorption behavior of polymer-clay nanocomposites has been investigated by Gorrasi et al [7,8], the literature still contains little data on the subject.
Therefore, the goal of this study is to contribute pertinent data on the sorption of organic liquids in PET and PET-clay nanocomposite films prepared by melt intercalation and hot pressing, as well as to discuss an investigation into the related solvent-induced crystallization phenomenon (SINC).
So, from the intrinsic viscosity values, in Table 1, is seen that the PET and nano-PET samples underwent a reduction in their average molecular weight after processing.
The reduction in average molecular weight of the nano-PET samples after processing may also have contributed to this effect.
This statement is corroborated by the data on our PET and nano-PET samples given in Table 2, which compares the values of xc1 (degree of crystallinity in the first heating cycle, after quenching at 0 oC) and xc2 (degree of crystallinity in the second heating cycle, after slow controlled cooling at a rate of 10oC/min).

Introduction Milling process is constantly evolving due to a large demand on precision manufacturing, as well as efficiency and cost reduction.
Here, the static force magnitude is interpreted as an average value within a specified time domain of the sampled data to establish cutting force magnitude.
The data acquisition board used was a Measurement Computing model PCIM-DAS 1602/16 with 16-bit resolution.
A specific VI (Virtual Instrument) was used to data processing of milling.
This fact is probably due to the reduction of the specific cutting forces (Ks) with increase ap and f [8, 9].

Data reduction The actual useful power extracted from the solar collector is calculated as (1) where specific heat of the nanofluids - corresponding to the mean fluid temperature is calculated as [13] (2) The instantaneous efficiency of a solar collector, operating under steady-state conditions, is defined as the ratio of the actual useful power extracted to the solar energy absorbed by the collector (3) The instantaneous efficiency is generally presented as a function of the reduced temperature (4) where the mean temperature of the fluid reads (5) The uncertainties of the measured and calculated parameters are estimated by mean-square method.
Results Figure 2 shows the comparison of present experimental results with data obtained by Yousefi et al. [5] for water-Al2O3 nanofluids with the same nanoparticle concentrations, i.e. 0.2% and 0.4% by weight.
Figure 2: Comparison of present results with data published in [5] Figure 3 shows the effect of nanoparticle concentration on the efficiency of solar collector versus reduced temperature.
The reduction as well as increase of nanoparticle loading resulted in deterioration of the solar collector efficiency of about 17-20%.
· Radiation reduction results in decrease of the solar collector efficiency.

All corrosion resistance data in work are presented relative to the used silver chloride reference electrode.
The numeric data of these experiments are presented in Table 3.
In addition, corrosion happens due to the reduction of oxygen molecules, adsorbed to the metal surface, as shown by the Eq. 2.
The curves of the open-circuit potential as a function of time in HBSS (a) and saline solution (b) at 37 °C for CR α-titanium (ε ~ 60% and ε ~ 30%), and EBC Anode dissolution: Ti0 → Ti4++ 4e Cathode reduction: 2H+ + 2e → H2 (1) Corrosion mechanism: Ti0 + 2H+ → Ti4++ H2 Anode dissolution: Ti0→ Ti4++ 4e Cathode reduction: O2 + 2H2O + 4e → 4OH- (2) Corrosion mechanism: Ti0 + O2 + 2H2O → TiO2∙2H2O Fig. 3 shows potentio-dynamic polarization plots of titanium in saline solution.
Calculated corrosion data of titanium in saline solution at 37 °C CR60 CR30 EBC Ecorr [mV] -147.81 -133.58 -168.42 Rp·10-4 [mOhm·sm2] 80.27 78.50 30.73 ba [mV] 106.36 108.65 126.08 bc [mV] 133.92 85.57 123.69 Bact [mV] 25.74 20.79 27.11 Bdiff [mV] 46.18 47.18 54.75 jcorract [nA·sm-2] 32.07 26.48 88.22 jcorrdiff [nA·sm-2] 57.53 60.10 178.15 CRactiv [µm·year-1] 0.28 0.23 0.77 CRdiff [µm·year-1] 0.50 0.52 1.55 According to Lee et al, the density of basal planes (0001) <1010> and (0001) <1120> is 20-25% after cold rolling of α-titanium with a deformation ratio of 60% [10].

POD is an effective method for dimensionality reduction and data decomposition, which could validly reduce the degree of freedom of the physical model with a close approximation.
Due to the effectiveness on reduction of computation time and data store, POD method is applied to fast prediction of ice shape.
The ratio of the energy contained in a certain mode can be measured by (6) The modes containing less energy can be negligible; leading to a reduction of basis, therefore the sample vector is represented as (7) The sample vector is of L basis, where L<=M.
While the 1st eigenvalue of height matrix is about one order of magnitude of the others, and it represent ice height characteristics therefore energy analysis and degree reduction can be applied.
Predictions of a temperature at 257K and 262K are calculated and compared with CFD data.