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When the computer actual implements a program, the determination whether dividend is enough for reduction process should be counted as a subtraction process, the time of all steps (one step = one comparison + one subtraction) equals the difference number of the binary bits of the two operands plus 1; Of course, if the binary bits number of the dividend is not more than the divisor’s, only one subtraction step could complete the division and get the quotient and remainder.
When the dividend is shifted a bit, the high word data subtract the divisor once.
The “BL DIV” instruction calls a 32-bit unsigned integer division instruction subroutine and gets an integer as the high-word data of the quotient, then removing this result from register R2 and saving it in register R3 as high word data of the quotient of 64-bit division.
The program codes in appendix are tested on large amounts of data, and it can be used as an assembly language subroutine.

STS guarantees high strength and excellent corrosion and abrasion resistance, while Al contributes high thermal and electrical conductivity and gives rise to weight reduction [6].
The experimental UTS of the Al/STS clad are close to the calculated UTS from the data of separated Al and STS sheet.
In contrast, the experimental strain of the Al/STS clad shows the higher value than calculated strain from the data of separated Al and STS sheet using the rule of mixture.
[3] The experimentally observed UTS of the Al/STS clad are close to the calculated UTS using rule of mixture from the data of separated Al and STS sheet
[4] The experimental total strain of the Al/STS clad shows the higher value than the calculated total strain from the data of separated Al and STS sheet

Although the angular variation of the two peaks near 10 GHz is suggestive of SAW behavior, linear fits to the shift data did not extrapolate through sinし = 0 for either of these two features.
Clearly, such behavior does not provide a good representation of our data.
The input data for the calculation are the porosity, the elastic constants of crystalline 6HSiC, and the shape factor つ = a/a3, where a1 = a2 = a and a3 are the semimajor axes of the ellipsoidal inclusions, which are ellipsoids of revolution coaxial with the crystal c-axis.
Oblate spheroids lead to a substantial reduction of the SAW speed.
Robert Boyd in the collection and analysis of data, and also the financial support provided by the Natural Sciences and Engineering Council of Canada.

The process of wood recognition includes data acquisition, image preprocessing, feature extraction, decisions classification and so on[1].
When the data of feature is relatively few, this algorithm is relatively strong.
Data Preparation.
Principal component analysis (Principle Component Analysis, PCA) is a classical linear dimensionality reduction method, it is the sense of minimum mean square error with less number of dimensions that the original data, with features of simple and efficient.

In general, a wide range of processes have been reported to eliminate the Cr(VI) from groundwater such as chemical precipitation, adsorption, electrochemical reduction, sulphide precipitation, ion-exchange, reverse osmosis, elecrodialysis, etc[4-6].
The experimental data were fitted into Eq(3) for linearization by plotting Ce/qe against Ce (figure not given) and good fit of this equation(R=0.9789) reflects monolayer adsorption.
The plot of logqe against logCe shows (figure not given) the isotherm data is well fitted with the Freundlich model (R=0.9852).
The sorption data of synthetic zeolite were well fitted with both the Freundlich and the Langmuir isotherm models.
Consequently, Langmuir linear regression data showed the monolayer adsorption capacity of chromium onto synthetic zeolite is 2.358 mg/g.

The in-plane size effects are examined by comparing the numerically estimated results with the experimentally determined data.
The dominant parameters such as σ1 and D for defining yield condition as well as the f0, fc and ff, which are presented in references [5, 6], for simulation of void growth and coalescence were determined using the finite element analyses results for standard CT specimens and the corresponding fracture toughness test data with respect to SA515 Gr.60 and SA516 Gr.70 carbon steels.
The data obtained from experiments and numerical simulation made clear that the J-integral was high when the crack tip constraint was low.
It should be pointed out that a reduction of crack tip constraint can lead to a relatively high material resistance against ductile fracture and it is too conservative to make use of J-R curve obtained from IP-1T standard specimen for structural integrity evaluation.
If the geometry is similar to a real structure, it is recommended that adoption of tested or estimated fracture resistance data from larger in-plane sized specimen is more realistic.

For PA-6 based materials the foaming process has traditionally been an insurmountable technical challenge or otherwise limitations have existed to the reduction in density possible.
The tensile test was conducted at a strain rate of 0.01s-1 where displacement is data logged via an externally installed LDVT, connected directly to the sample holder.
Expansion of metallic components due to the loading is accounted for in the data analysis.
Results and Discussions All data has been analysed based on a moving point average, covering a range of approximately 20 data points over 0.01 stain range from 0.01 to 0.10 strain.

Results and discussion Rietveld refinements from XRPD data carried out with the FullProf program5 confirmed single phase with I4/mmm space group for all the as-prepared La2−xSrxMnO4±δ (0.7 ≤ x ≤1.0) samples.
Oxygen stoichiometry (according to iodometric titration), manganese valence and unit cell volume (from Rietveld refinements against XRPD data) in as-prepared La2−xSrxMnO4±δ (0.7 ≤ x ≤1.0) at RT.
Indeed according to iodometric titration, the increase of x promotes the reduction of manganese.
Since laboratory XRPD data gave no evidence of additional peaks matching with the Bmab space group, as observed by NPD for x = 0.84, a Fmmm space group has been chosen.
During the first oxygen uptake highlighted by TGA, all samples undergo a drastic expansion of the basal plane and a contraction along the c-axis, as revealed by the analysis of the ex situ XRPD data for the whole set of annealing temperatures (Fig. 4).

In connection with this, the given problem is solved optimally, taking into account the available data and the experience gained.
The process parameters, physicochemical properties and composition of the reservoir oil from the oil preprocessing installation of Eastern Siberia oil field are used as the initial data.
The first stream is supplied to the three-phase separator TPS, where due to further reduction of pressure the remaining gas is released and formation water is separated.
An optimal installation’s operation mode (option five) was determined on the basis of the data obtained in which water separation is most effective.
Comparison of devices, with the given technological conditions Apparatus Consumption = 600142.86 [kg/hour] Input watercut (W) = 20.93 [%] G = 500119.05 [Kg/h] 1 2 3 4 5 6 7 Input S-1 T = 2 [°C] T = 2 [°C] T = 2 [°C] T = 2 [°C] T = 2 [°C] T = 2 [°C] T = 2 [°C] TPS T = 15 [°C] T = 15 [°C] T = 15 [°C] T = 25 [°C] T = 25 [°C] T = 25 [°C] T = 15 [°C] EDH T = 30 [°C] T = 30 [°C] T = 30 [°C] T = 30 [°C] T = 30 [°C] T = 30 [°C] T = 30 [°C] HT (I) T = 39 [°C] T = 45 [°C] T = 39 [°C] T = 39 [°C] T = 45 [°C] T = 45 [°C] T = 45 [°C] HT (II) T = 45 [°C] T = 45 [°C] T = 45 [°C] T = 45 [°C] T = 45 [°C] T = 45 [°C] T = 45 [°C] VST T = 30 [°C] T = 30 [°C] T = 30 [°C] T = 30 [°C] T = 30 [°C] T = 30 [°C] T = 30 [°C] Conclusions The installation’s operation mode was recommended based on the obtained data, in which the residual water is the lowest.

Tensile Strength of PMMA/n-ZrSiO4 Composites Using Dynamic Mechanical Analyzer (DMA) Rama Dona1,a, Novita Dwi Purnamasari1,b, Wiwit Wulandari1,c, Allif Rosyidy Hilmi1,d, Nur Aini Fauziyah1,e and Suminar Pratapa1,f * 1Department of Physics, Faculty of Science and Data Analytics, Institut Teknologi Sepuluh Nopember (ITS), Kampus ITS, Sukolilo, Surabaya 60111, Indonesia aramadonad28.d28@gmail.com, bnovitas21196@gmail.com, cwiwitwulandarii21@gmail.com, dallif.hilmi@gmail.com, eaini.zierra@gmail.com, f*suminar_pratapa@physics.its.ac.id Keywords: PMMA, nano-zircon, stress and strain, dynamic mechanical analyzer (DMA).
The strength-strain dependence of the composites was carried out by measuring and analyze their Dynamic Mechanical Analyzer (DMA) data.
The broadening is presumably caused by two effects, i.e., reduction in crystallite size and increase in phase non-uniform strain.
Table 1 presents the crystallite size and strain data of zircon powders with variations in milling time after XRD data analyses using MAUD [7].