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Experimental data were acquired and recorded by an optimally designed network of sensors.
Experimental data were statistically analyzed in order to reach conclusions.
Experimental Setup The data acquisition system is established in a two axis lathe, model AFM TUE-40, accommodating workpieces of length 1000 mm and diameter 600 mm respectively.
The second experimental data set concerning cutting with cutting fluid highlighted that the level of vibrations is around 6 m/sec2, having an average value of 6.66 m/sec2.
[15] Meech Coldstream Airgun, Technical Data Brochure for Airgun Technology

Interpretation of experimental data is based on Stoner-Wohlfarth coherent rotation approach.
The interpretation of the experimental data is based on the Stoner-Wohlfarth approach.
Using the data of Fig. 2 we found the angles at which the transition takes place; they are shown in Fig. 3 with solid circles.
Figure 4 shows the low field parts of the MR curves for magnetic field directed along PD or EA in comparison with the data for the unannealed sample with MF || EA || PD.
So it is the deviation from PD direction that is the reason of coercivity reduction.

Existing nitrogen oxides (NOx) control technology primarily depends on selective catalytic reduction (SCR) method.
The total NO removal efficiency formula used for experimental data analysis in this paper is defined as follow: η= (1) Cin: Initial NO concentration.
N atom cannot react directly with C2H4, the way to remove NO is still the reduction reaction 3.
The experiment data in NO/N2 system is added for contrast.
Boulder: JILA Data Center, (1985) [9] Mahmud K, Marshall P, and Fontijn A: The Journal of Physical Chemistry, Vol. 91(1987), P. 1568 [10] Zhu AiMin, Qin Sun, Jin HaiLiu, and Yong Xu: Plasma Chemistry and Plasma Processing, Vol. 25(2005), P. 371

Silicon carbide (SiC) powders have been prepared at 1200-1500°C by carbothermal reduction of two kind precursors of carbonl/silica mixtures: coked rice husk with high-carbon content, and gasified rice husk with low-carbon content mixed with carbon powders as an external carbon sources.
The external carbon source is commercially available carbon black powders (CBp,specific surface area[m2/g], average diameter 40 ~ 50 nm).Table 1 presents data on the chemical composition, SBET obtained of these ashes.
To clarify the effect of the nature of carbon on carbothermal reduction, BRHA,a inherent precursor without CBp was prepared in the same way.
The difference of silica structure in two systems would also affect the rate of SiO(g) formation from the reduction of SiO2.
XRD pattern of the powders from system 2 synthesized at various temperatures for 4 h area of the amorphous carbon, and helps in the carbothermal reduction of silica.

Tab.1 is the XPS data of the as-milled Cu-Mo-C powder.
Table 1 XPS data of Cu-Mo-C alloyed powder Sample Peak Center/ev At.% Cu-Mo-CG C1s 285.15 68.58 Cu2p3 933.55 2.63 Mo3d5 232.65 10.93 O1s 531 17.87 Cu-Mo-CA C1s 285.55 66.95 Cu2p3 935.5 4.39 Mo3d5 233.7 2.92 O1s 532.2 25.73 The binding energy of elements varies in different chemical conditions.
The binding energy data of C1s, Cu2p3, Mo3d5 and O12 are listed in Tab.1.
The binding energy center of MoA is 233.7ev, which is coincident with MoO3; and the binding energy center of MoG is 232.65ev, which is between the binding energy data of Mo in MoO2 and MoO3.
It could be inferred that reduction reactions occurred in this period.

The flexural stiffness data hereafter are the average of five tests.
In Fig. 2 flexural stiffness data as a function of the mould filling and flow rate are presented.
Weight Reduction and Mould Filling.
Weight [g] Weight reduction [%] 70% 53 28 80% 61 18 90% 68 8 100% 74 0 Table 2 - Weight reduction as a function of mould filling.
Stevens, Methods of generating flexural design data for injection moulded plates, Plastics and Rubber Processing and Applications 4 (1984) 181-187

The article considers the dependent process steps with attributes data.
However, the multivariate control charts dealing with discrete data are lacking.
Therefore, this research will focus on the dependent process with attributes data.
Design of the VSSI Charts We considered a process with the two dependent steps of attributes data.
Base on this, we used VSSI scheme to monitor the dependent process steps with attributes data.

Data of Mosque under Consideration The mosque selected as a base case is Al-Hajri mosque, lies in east of Riyadh.
Table 2: Data of Mosque AC Central type (10 units) Total area 40m x 55 m Door 3 with dimension of 2.4m x 3 m Windows 10 with dimensions 2m x 3m Height 8 m Factors Affecting Energy Consumption Following factors contribute to energy consumption: i) Zoning/Partitioning Zoning helps in reducing monthly bill by 30%-40%.
Using eQUEST (Quick energy simulation tool), a mosque was modelled and a series of parametric simulation was conducted to acquire mosque energy consumption data for the daylighting.
Fig. 5 Effect of Daylighting The lighting load gets reduced by 28% resulting in 3% cooling load reduction with an overall reduction of 2.2% energy consumption.
Technical data for Al-Hajri mosque air conditioning units is: Table 5: Data of AC Units Cooling capacity (ton) 25 ton Number of units 10 units Cooling capacity 300000 BTU/h Cooling capacity 93 KW Power input 30 KW The air-conditioning unit consists of a compressor, an evaporator condenser.

Using the elimination strategy, the primary vibration source was determined, the vibration serviceability of the residential building was assessed by the environmental vibration tests, and the measures for vibration reduction were proposed.
By applying the measures for vibration reduction to Mill Ⅱ and reinforcing the residential building, the vibration serviceability can be improved. 1 Introduction A residential building, constructed by brick-concrete structure and completed in 2001, is six-layer and two-household with a storey height and a building area, respectively of 3.2m and 960㎡ in each storey, whose floor plan is shown in Fig1.
(2) Vibration reduction measures should be applied to improve Mill Ⅱ
(in Chinese) [4] Wang, G.J., Fan, S.R.: Manual for buildings natural periods calculation method and the measured data (China Academy of Building Research, Beijing 1988).

The main features of grinding production process optimization includes mill gradation optimization, the extraction of cement grinding process real-time data and historical data, the analysis and prediction of cement grinding process online real-time data, the data mining and intelligent analysis of cement grinding process historical data, expert optimization control and process optimization for cement grinding process.
The method combined with mathematical models, physical and chemical mechanisms, real-time detection data in DCS database, historical data, existing experience and integrated use of regression analysis, neural network, support vector machine, expert knowledge etc to estimate and validate the process parameters which are hard to be measured.
(2) For the operation characteristics of large time delay and strong coupling, time-varying, nonlinear kiln system/grinding system is difficult to be modeled, the paper develops a method based on mechanism, dynamic data, knowledge modeling and multi-model ensemble.
By applying the complex system methods of AI and MBC, based on the analytical inference mechanism that combines expert knowledge bank, historical data and in time data of DCS system, take in time record as fact and inference which output a series of control movement signals that achieved the best result of whole control of VST /grinding system in product quality, product quantity and energy consuming under variety of conditions
In a word, cement production has a great influence on energy saving and emission reduction goals and great social responsibility.