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Two years data from three different time period before Spring Festival (SF), after SF and after Lantern Festival (LF) in Shenyang city of year 2013 and 2014 was analyzed.
This study collected and analyzed two years (2013 and 2014) data of the PM2.5, PM10, SO2 and NO2 before, between and after two big festival celebrations in Shenyang City to show how festival celebration affects air pollution.
Results could supply useful analytic data and information to set more effective local policies for emission abatement and air pollution control.
Two years data around the Spring Festival were selected and separated to three periods: 10 days till SF (before SF), 10 days after SF and before LF (after SF), 8 days data step over LF festival and 4 days after LF (after LF).
The three period includes: 1) 10 days till SF (before SF, ○); 2) 10 days after SF and before LF (after SF, □); 3) 8 days step over LF festival and 4 days after LF (after LF, △); The non-filling symbols indicate data of 2014 and filling symbols indicate data of 2014.

New coefficients oxygen permeation equation model is introduced herein this work by fitting the experimental data available in the literature for a LSCF-1991 ion transport membrane.
The values of the pre-exponential coefficient of DV, kf and kr and activation energy for LSCF-1991 membrane have been determined by fitting the experimental oxygen flux data in the work done by kusaba et.al. [7] as a function of temperatures as shown in Fig.2.
Fig.2 Fitting of the experimental data of Kusaba et.al. [7] with the present permeation model.
For this model, the modified reaction rate data by Andersen et.al.[10] are listed in table.2.
Table.1 Pre-exponential coefficient and activation energy of DV, kf and kr from the fitting of experimental data of Kusaba et.al. [7].

The proposed algorithm is constituted of two principal phases: the features extraction and reduction phase and the optimized classification phase.
It is based principally, on two phases: The first phase concerns the features extraction and reduction by applying the discrete cosine transforms (DCT) and the continuous wavelet transforms (CWT) separately to the ECG signals [23].
The DCT transforms the temporal data into frequency domain.
In this part, the efficiency of the BAT-RBF classifier has been tested on the data taken from the MIT BIH database.
Talal, Comparative study between the bat algorithm (BA) and (PSO) algorithm to train (RBF) network at data classification, Int.

The data are compared to current fracture toughness models, with the results applied to improve the modeling of toughness using microstructural parameters and basic tensile properties.
The data are then quantitatively correlated to fracture toughness and the bulk microstructural attributes estimated via stereological analysis.
Based on these experimental data, a model for plane strain fracture toughness was developed and is described in the next section. 3.
Table 3 Tensile and fracture toughness data along with results of quantitative fractography.
This is consistent with the data listed in Table 2.

XRD data showed a reduction of the volume fraction for the Bi-2223 phase and increased the volume fraction of Bi-2212 phase with the doping of Nd and Er.
The reduction of length of the c-axis was due to the smaller size of Nd3+ and Er3+ ions compared to the Ca2+ ions [9] where the doping ions will cause the distortion between the slabs of Bi-2223 led to the formation of Bi-2212 [2].
This is due to the reduction of hole concentration in the Cu-O plane which is caused by the substitution of trivalent ions for the divalent calcium ions [11].
XRD analysis showed that the decrease of c-axis parameter and increase of Bi-2212 phase for doped samples led to the reduction of volume fraction of Bi-2223/Bi-2212(%).

The resulting bonded sheet can then be cut, stacked, and the process repeated indefinitely with no net reduction in sheet thickness [12].
The data shows a significant nt and increase in HAGB area with increasing rolling asymmetry.
It should be noted that these are preliminary results and that higher rolling reductions could be achieved on a larger scale industrial mill.
Similar features were observed in the AA8079 alloy, although the reduction in HAGB percentage and increase in grain width were not as prominent.
A A path and increases the total effective strain level for a given rolling reduction.

Midship Section Optimization of Hatchcoverless Container Ship based on Real-Coded Micro-Genetic Algorithm Yunyoung KIM 1, Ki-Sung KIM 2 and Je-Woong PARK3 1 Department of Marine Systems Engineering, Kyushu University, Hakozaki 6-10-1, Higashi-ku, Fukuoka, 812-8581, JAPAN 2 Department of Naval Architecture and Ocean Engineering, Inha University 253, Younghyun-dong, Nam-gu, Incheon, 402-751, KOREA 3 Department of Naval Architecture and Ocean Engineering, Chosun University 375, Seosuk-dong, Dong-gu, Gwangju, 501-759, KOREA 1 yykim@fatigue.nams.kyushu-u.ac.jp, 2kisung@inha.ac.kr, 3jwpark@chosun.ac.kr Keywords: Real-coded micro-genetic algorithm, Binary-coded genetic algorithm, Continuous search spaces, Midship section design, Scantling reduction factor.
(5) Initial BF and DF , which are the local reduction factors to determine all scantlings of midship section members, are randomly assumed.
Optimum Results Yes No Assume Initial Design Variables Initial Scantling Reduction Factors (FB & FD) Determine Plate Thickness Determine Scantlings of Longitudinal Members Calculate FB & FD Satisfy Hull Sectional Modulus ?
Yes No Yes No Real- coded Micro- Genetic Algorithm Optimum Design Variables Assume Initial Design Variables Initial Scantling Reduction Factors (FB & FD) Determine Plate Thickness Determine Scantlings of Longitudinal Members Calculate FB & FD Satisfy Hull Sectional Modulus ?
Michalewicz, Genetic Algorithms + Data Structures = Evolution Programs, extended edition, Springer-Verlag, Berlin, 1994 [6] K.

This resulted in the reduction of Topcoat material cost, which is more expensive than the EDP material cost.
In summary, the improved setting resulted in a cost reduction of 422 THB/unit.
After implementation, the process capability index (Cpk) has increased from 0.61 to 1.99, resulting in the cost reduction of 422 THB/unit or 1,730,498 THB/year.
Pierce: Six Sigma concepts, tools, and application, Industrial Management & Data System, Vol. 105 (2005), pp. 491-505 [4] J.
Senprom: Glass-Mold Defective Reduction in Plastic Lenses Manufacturing Process Using Six Sigma Approach, Advanced Materials Research, Vols. 156-157 (2011) pp. 1598-1602 [12] C.Wu and H.

In the present research, a series of AZ80 magnesium alloy billets were compressed with 60% height reduction on hot process simulator at temperatures of 473,523,573,623,673,723K under strain rates of 0.001, 0.01, 0.1,1 and 10s-1.
Cockcroft and Latham hasn’t expounded whether the critical damage factor depends on the temperature and strain rate [9-10].In this study, for AZ80 magnesium alloy, the relations between critical damage factor and temperature and strain rate were analyzed based on a series of compressing tests data and damage data by numerical computation.
Furthermore, a concept about incremental ratio of Cockcroft-Latham damage in plastic deformation () is brought out and defined as the ratio of the damage increment at one step () to the accumulated value (): (2) True stress-strain data collected at different temperature under different strain rate from the thermal compression experiment of AZ80 alloy were inputted into the custom materials library of the finite element software Deform-3D.
Fig.2 shows the damage distribution at the last step (height reduction of 60%) at 573Kand strain rate of 0.0l s-1.From the simulation results, it can be seen that the maximum damage value appears in the region of upsetting drum, while the minimal value appears in the middle region.
Fig.2 Damage distribution at last step (height reduction of 60%) at 573Kand strain rate of 0.01 s-1 Table.1 Critical damage factor at different temperatures and different strain rates (a) =0.01s-1 (b) =0.1s-1 Fig.3 Incremental ratio varying of Cockcroft-Latham damage during compressing process at different temperatures and different strain rates The mechanical behavior of the material during the hot processing can be described by constitutive equations containing flow stress (σ), strain (), strain rate () and deformation temperature (T).

Thermocouple measurements were made at six locations (top, centre bottom, near the tool and at distances of 10, 20, 30 mm, at the plate centre line) to provide data for calibration of a thermal model.
This point can then be used to fit an exponential torque - rotation rate decay curve to experimental data (Fig. 1a) from which the welding power curve can be derived (Fig. 1b).
Fig. 1 (a) Exponential torque decay curves as a function of rotation rate, ω, fitted to experimental data and (b) the related welding power curves.
There is also a lower reduction in through-thickness hardness within the weld nugget, which is close to being symmetrical around the plate mid-plane.
The SS-FSWs can be produced with a lower heat input, which is more uniform through thickness, and have an exceptional surface finish, with little reduction in section thickness, as well as a narrower weld profile, which results in lower levels of distortion and a reduced HAZ width.