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Height reduction is the major geometry change.
In order to verify the model a comparison must be made between the strip surface temperature predicted by the model and the data obtained at the hot rolling line.
In the analysis the procedure collects the temperature data of exit of roll gap during each iterative solution then write them to a data file.
As can be seen from Fig. 9, the predicted temperature data agrees well with the data of pyrometer.
(5) The predictions of the model are in a good agreement with the plant-recorded surface temperature data.

The differential write scheme compare a new data value with an old data value and only write on the NVM cells for which the old and new values are different.
As shown in Fig. 3(a): write operations are carried out on the gray-colored cells to decrease the number of bit changes from 8 to 6. [9] Fig. 3 Write traffic reduction technique The data inverting scheme can reduce write traffic to NVM further.
It invert the data to be written, if the Hamming distance between the old and the new value is larger than the half the data size.
And store the inversion status of the written data in an additional memory cell, which we call i-bit.
The i-bit is referred to restore the original data value from the stored value.

A qualitative approach using semi-structured interviews was adopted to collect the data with general, operation, and quality managers in LFI.
Such approaches as zero defects, waste reduction, life-cycle assessment and employee involvement and training are commonly used [5].
Method In this paper a qualitative approach (interviews) was adopted as the most appropriate method, to collect the data, for studying the current situation relating to quality techniques and machinery.
Management Level Companies Top ¹ Middle ² Low 3 Total Company (A) Al-Rayhan Drinks 2 2 2 6 Company (B) Bou Attane Drinks 1 2 2 5 Company (C) National Mills and Fodders 1 2 2 5 Total 4 6 6 16 1Top Management Mangers, 2Middle Managers of Quality and Operation Department, 3Low Managers of Quality and Operation Department Analysing qualitative data started by writing down each interviewee’s response on a separate sheet of paper.
The three highest motivations were ranked by the respondents; saving cost, increased production efficiency, and reduction of waste and pollution to the environment.

Data represent mean ± SD, n=3, * p <0.05 when compared with control, **p<0.01 when compared with control.
Data represent mean ± SD, n=3, * p <0.05 when compared with control, **p<0.01 when compared with control.
Liver is the largest detoxification organ, and for some nanoparticles, previous data have showed that hepatic deposition is the highest among all the other tissues [5,6].
Taken together, these data suggested that exposure to SiO2 NPs caused a dose-dependent cytotoxicity in BRL cells.
Thus the viability reduction and cell apoptosis of BRL cells initiated by SiO2 NPs may be the result of increased ROS production and antioxidant depletion.

Data is reduced and processing is increased when cryptography is realized using short key length.
Architecture of Ecc An m (163, 233 and 283) bits data could be encrypted using this ECC core.
It squares an m bits element in F2m and mode reduction polynomials.
Testing data input ECC directly.
Fig.9 Testbench of ECC Where, Generator is a testing data generator for ECC, Testmodel is verification model for encryption and DUT is made of encrypt and decrypt module.

Kim and Smith (2001) proposed a two-stage synthesis method based on the pinch analysis technology to design distributed cooling systems for effluent temperature reduction.
Then calculate the heat load of the cooling tower according to the limited data, and put them in ascending order.
Q ( MAX ) = ( TMAX-TIN )× OSU (1) Table 1 Cooling water supply information Source T(n) (℃) OSU (kW/℃) Tmax Q(KW) T1 20 40 50 1200 T2 22 67 50 1876 T3 25 87 55 2610 The limiting data for cooling water using operations are given in Table 2.
Table 2 Limiting cooling water data Operation Tin (℃) T out (℃) Fin (kW/℃) Q (kW) OP1 30 45 40 600 OP2 40 60 15 300 OP3 25 50 32 800 OP4 45 60 40 600 OP5 40 55 20 300 OP6 30 45 46.7 700 Put the heat transfer process in ascending order according to the heat load for better observation.
Table 3 Limiting cooling water data for ascending order according to the heat load Operation Tin (℃) T out (℃) Fin (kW/℃) Q (kW) OP2 40 60 15 300 OP5 40 55 20 300 OP1 30 45 40 600 OP4 45 60 40 600 OP6 30 45 46.7 700 OP3 25 50 32 800 The total heat load of the cooling water is Q=3300kw , So T1 and T3 be selected for the total heat load of T1 and T3 just meet the requirements of the heat load of the cooling water.

In this paper, whether FCC Unit has structural stability or not, we found out FEA(Finite Element) after trying 3D modeling by using FCC Unit’s condition of design and critical stress as a translating data.
Data of pressure vessel follows ASME, and we made an assessment through this standard.
Fig.2 According to the results of the analysis, the Equivalent (von-Mises) stress is 188.84MPa, the data is on the ASME Code, which is higher than 180MPa.
The Equivalent (von-Mises) stress is 123.61MPa, this data satisfies the ASME Code.
In this paper, Rib reinforcement was used for a method of stress reduction.

This paper adopts GMM-UBM (Gaussian Markov Model-Uniform Background Model) when model speaker recognition system considering of lacking data.
It is trained by relatively long speech data (at least 1 hour) with EM (Expectation Maximization) algorithm.
Principal component analysis method can effectively reduce the data dimension.
Assume that a group of dimensional data vector .
MLLR, integrate MAP\MLLR, EV method, their recognition rate also increased with the increase of adaptation data, and gradually approach in a saturated state.

The data obtained with the accelerometer was then plotted by MATLAB.
The vibration data were measured with an accelerometer and a time series graphs were plotted with MATLAB.
From the vibration analysis data, it has been clearly observed that the system in normal cutting is little unstable compared to ultrasonic machining process.
This phenomenon is a clear indication of change in vibration characteristic of the system in different conditions and is a proof of reduction of chatter in addition to tool wear reduction.
The accelerometer data shows that vibration of tool holder and the cutting tool is reduced with the application of ultrasound.

Fig.4c shows that percentage of area reduction impacted on axial force, technical parameters are:α=25°,β=50%, d0=50mm. percentage of area reduction is 30%, 50%, 60%, 70%.
Clearly, the influence of axial force to percentage of area reduction is complex.
It will also make rolling reduction Z reduce.
On the other hand, when the direction of transition from S1>S0 to S1=S0, the rolling reduction Z increases with the increasing of percentage of area reduction.
Because of much collected data, we choose the maximum rolling force in operating condition of each diameter to draw the curve in Fig.6.