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Electricity consumption and peak demand reduction in commercial buildings was not high.
Bangkok weather data was used in the simulation.
Lighting Power Density (LPD): 30% reduction. 9.
· HVAC system efficiency factor: SEER = 14 · Lower LPD at 30% reduction and high efficient appliances at 18 W.m-2.
These data can be used as guidelines for energy efficient design measures selection for each building type to meet different goals.

The starting microstructures for the simulations were generated from experimental data taken using electron backscatter pattern analysis.
Although the EBSP data is already discretized in a form suitable for input into a Monte Carlo Potts model, as a result of noise in the experimental data some pre-processing of the data is also necessary.
For starting microstructures with higher cube-fractions ( ≈ 65%) , the evolution more closely matches the experimental data.
In accordance with a large amount of experimental data, the energy of the grain boundaries in the system was defined in each case according to the Read-Shockley equation, with a minimum value set at 0.1 [7]: ( ) ( ) [ ]    −θθ =γ 1 ]ln1[/,1.0max m m θ/θ m m θ>θ θ≤θ : : (3) Less experimental data exists for the variation of boundary mobility with misorientation.
Only a small advantage (Λ=1.02, or cube grain surface energies ≈ 2% lower those of other grains) is necessary to give a noticable cube-texture enhancement to levels comparable with the experimental data.

In order to obtain more accurate and rapid voltage fluctuations and flicker signal and provide fast and accurate data for power quality analysis and improvement, this paper proposes the improvement measures of null space pursuit algorithm based on the analysis of the principle of null space pursuit algorithm, which improves the value of practical application.
By the simulation analysis, it proves that the combined null space pursuit algorithm not only has the same advantage of high precision extraction and decent noise reduction capabilities as original algorithm but also improves its computing speed and enhances its practical value.
l Records operation time of the algorithm by MATLAB we can get: null space pursuit algorithm use 10.974839 seconds, the combined null space pursuit algorithm takes 3.411994 seconds, increase operation speed 68.9%.( In order to guarantee the validity of the data, in this paper, the time data are not added the operation time of white Gaussian noise.)
By the simulation analysis, this paper proves that improved null space pursuit algorithm can not only extract more accurate voltage fluctuations and flicker signals but also have good noise reduction function.

These functions include flood control, ice jam prevention, sediment reduction, water supply and power generation.
All figures applied in these researches are static data on the annual base and constant solar transformities are applied following a traditional approach.
Dynamic Emergy Analysis Dynamic emergy analysis is based on the traditional emergy evaluation that assumes a system stays static and uses steady transformities, while applying rate equations to accumulate raw energy data and transformities through the changes of temporary inputs and outputs [1, 9, 10].
According to the changing inflow and reservoir regulation, annual operation of Xiaolangdi reservoir can be separated into several stages as shown in Fig. 2, matching with different priority functions (flood control, ice jam prevention and sediment reduction).
A dynamic emergy analysis approach is taken to evaluate the efficiency of these functions, which include flood control, ice jam prevention, sediment reduction, water supply and power generation.

According to statistics, recoil mechanism’s failure rate is high, accounting for 30%~40% of a total failure. 1 Analysis of recoil device failure The fault of recoil device one aspect is in the gas, not correct liquid, according to the firing process test of pressure to evaluate its performance; on the other hand, mainly wear, recoil rod piston wear ring in the control, but it is difficult to test data from the traditional direct assessment.
But with the firing of the measured data tend to be a mixture of much noise, not conducive to the signal analysis and processing, so we need to deal with the noise of test signal at first. 2 wavelet de-noising method 2.1 traditional wavelet threshold de-noising method The threshold method with approximate optimum estimation, fast calculation speed and wide adaptability, can get the original signal, is one of the most widely used wavelet de-noising method.
GHM multi wavelet two dimension equation for: 3 The example Adopts the above three kinds of noise reduction method, respectively, for containing gaussian white noise signal noise reduction processing.
Fig.1 Three wavelet de-noising methods contrast figure This article use ULT20 series piezoresistive acceleration sensor connected to the USB5935 data collector, CM3503 signal conditioning device, install the sensor using dope fixed way in reverse recoil device control rod tail, and then through the data acquisition unit for data acquisition and inventory.
Through the improvement, the multi wavelet can be applied in vibration signal de-noising, data compression, and has broad application prospects.

The influence of the PTR up to a total thickness reduction of 50% and the effect of a single 50% reduction step in a bi-layer bonding condition was analyzed.
The influence of these process parameters on the strain and rigid body rotation components was compared with the experimental data obtained on an AA1050 aluminum.
The most homogeneous strain distribution was achieved at 20% thickness reduction.
(a) (b) Figure 3 Progressive deformation at PTR 05% and PTR 10%: a) shear to compression strain ratio exz/exx as a function of the total thickness reduction, and b) rigid body rotation component as a function of the total thickness reduction.
Figure 4 shows the texture results for a total thickness reduction of 50% and PTRs 5, 10 and 50%.

Mechanical data for SS 400 and SM 490 at high temperature are shown in Table 1 and regressive equation of linear expansion coefficients and specific heat are shown Table 2 and Table 3.
The reduction ratio versus standard fire curve was decreased constantly from room temperature until 900 ℃.
As the grade of structural steel increases, the differences of reduction ratio of an allowable stress at high temeprature showed eminent.
(2) H-section made of SM 490 showed a slight difference of reduction ratio of an allowable stress at high temperature.
(3) H-section made of SS 400 represented an unchanged reduction ratio of an allowable stress during standard fire curve

The alumina/nickel composite powder following reduction in hydrogen atmosphere was sintered using a pulse electric current sintering method.
The powder is soaked in metallic salt solution in vacuum, followed by filtering, calcination, and reduction in hydrogen.
Fig. 3 TEM observation of nanosized nickel particles within γ-alumina after reduction.
The modified relation between the averaged data for the monolithic alumina, as-sintered nanocomposites, and annealed nanocomposites is shown in Fig. 7, where the data for as-sintered nanocomposites sintered at 1550 ºC and the data for annealed nanocomposites annealed for 10 min were omitted because these data were affected by over-annealing conditions.
Table 1 shows the average values of the experimental results of monolithic alumina, as-sintered nanocomposites, and annealed nanocomposites for the alumina/nickel system, where data of the specimens sintered at 1350ºC were selected.

The industry application shows that the NG-TMCP which is based on the UFC can reduce the alloy content effectively and implement the low-cost reduction produce of high-grade products.
Meawhile, the real time data exchange among the subsystems was achieved by the developed data communication platform.
Based on the primary data input (PDI) parameters, such as the plate chemical composition, the plate physical dimension and so on, the cooling schedule was calculated by the process automatic system of UFC.
Application of the UFC Control System Low-cost reduction produce of X70 was successful implemented in one plate production line based on this UFC system.
Additionally, the alloy reduction job was also carried out in the production of other high-grade steel after the successful reduction produce of X70 by the UFC control system and the significant economic benefits was also achieved, such as X80, X65, Q550D, NM360 and so on.

It was observed from the stress and strain values obtained in these tests that there is a reduction in tensile strength.
This increases its resistance because the reduction of surplus water improves the workability of the concrete; it also decreases the amount of void left by this water evaporation [1].
The image data were processed with Correli program implemented in MATLAB software.
Note that the x-axis data are obtained by DIC as mentioned earlier.
In Fig. 3, there is a reduction in the steepness of the curves that increases with the replacement WTR.