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The numerical model of the seat frame has been developed and the numerical results were validated against experimental data obtained during static loading tests.
The mass reduction verified by the introduction of the new topologies is shown in Table 3.
Table 3 – Mass Reduction associated to the changes suggested Component designation Mass Reduction (kg) rotary foot 3.09 backrest 0.97 cushion 0.41 The global mass reduction associated to the suggested changes is approximately 4.47 kg.
The good concordance between the numerical results and the experimental data is an important point to highlight.
It is expected that the proposed changes to the current car seat frame are directly linked with a substantial reduction of mass.

(2) (3) Where f and are the friction factors in the pipe and the specific weight of the water, the friction factor (f) is the main data we wanted to observe.
We analyzed our data by using Numerical Curve fitting in the exponential function [12], resulting in a new equation
From the calculations illustrated in Fig.4, we defined the hypothesis trend line of experiment data as an exponential function.
We then analyzed our data by curve fitting technique using the exponential function [12], to find the relationship between flow rate in a pipe and level of water.
From data of this study, when we using polymer solution in difference concentration in pipe flow at turbulent condition, we can increase flow rate in pipe because friction between pipe wall and fluid are decrease follow the hypothesis of Drag reduction effect, in this research can show the data in Fig.7, that is a relationship of friction factor (f) in y-axis and Reynolds number (Re) in x-axis, the result show effect of polymer solution can decrease friction factor immediately by this experiment best of polymer concentration is in 30 to 100 wppm because these friction factor are decrease in closely number compare with pure water, by percentages are 35, 45, 44 and 44 % at polymer concentrations are 10, 30, 50, 100 wppm.

The synthesized catalyst was utilized for reduction of nitrobenzene.
Introduction Reduction of nitrobenzene is an important in the industrial process.
Table 1 Data from XRD and BET method.
Table 2 Effect of Na-clay, Al-PILC and Pd/Al-PILC on the reactivity for the reduction of nitrobenzene.
Choudary, Reduction of nitroaromatics with a new heterogenised MCM–silylamine palladium (II) catalyst, J.

Reliability-Based Assessment of Bridges Using Long-Term Monitoring Data Y.Q.
From the monitoring data the bridge managers want to get answers to the serviceability and reliability issues: (i) has the load capacity or resistance of the structure changed?
As consistent with reliability analysis, the structural damage is first identified using a probabilistic approach from the monitoring data, so that the damage identification results account for uncertainty and randomness inherent in the measurement data and the structure.
The uncertainty in measured modal data is assumed as normally distributed uncorrelated random variables with known statistical properties.
In this example, the simulated stress measurement data (history) for each member is obtained by applying the random loads V to a finite element model of the structure.

Different experimental conditions adopted could be the other major factor that affects yield data, which shows variations in total yield and well as the products patterns.
Possibly the differences in the mode of activation of CO2 on these metals, modulated with the nature of the supports, could explain the rate data for various products.
Data with UVC radiation, presented in Table.14 shows that Cu & Fe, when loaded separately on TiO2, display lower conversion rate to ethylene.
CO2 photo reduction data presented in Table.17 show that in-situ CoPc/TiO2 catalyst is more active than a simple mechanical mixture of CoPc and TiO2 indicating a co-operative effect between dispersed CoPc and titania surface for the effective transfer of photo-generated electrons.
Lo et al. [162] could successfully validate their model with the experimental data with a pseudo first order reaction rate equation.

However, for these ideals as the above, the testing data on surface structure of composite materials need to manage and analyze in some elementary, in other words, that are the testing data of mathematical or statistical models on the surface structures.
More concretely, due to the data being excessively complex, the data must be in a great extent contracted and purified to satisfy many applying objects.
Furthermore，it was indeed pointed that the effects of these data reduction modes are vary valid and significant especially in the updating age that composite material systems link closely with information network and large data, however, it is pity in some extent that there are few references on these topics at present.
At last, it should be pointed in data analysis for this paper that the element model, the picking indicator and the simulation on data are very important.
Journal of Data Acquisition & Processing, 2005,20(1): 34~39

Applied-information technology in fusion SVM partial least squares analysis of experimental data in the body of PET Xian Zhou, Ying Xiong, Wangping Xiong, Lingzhu Xiong Jiang Xi University of Traditional Chinese Medicine, NanChang, JiangXi, China Corresponding author: Wangping Xiong xiaoxiongxwp@126.com Keywords: Partial Least Squares; SVM; PET; Data Mining; Nonlinear Data Abstract.
But in the data acquisition process, often unnoticed or be some subtle surprises.
Observational data can not contain a gross error, otherwise the result is not reliable.
The reason is because there is a variable data from the data recording abnormality, when this happens, there will be a natural component of the selected offsets, thereby affecting the results of the regression.
A modified PLSR method in prediction[J],Data Science，2006,4:257-274

The concrete application research of drop and pull transport in energy saving and emission reduction —with SF's case Liang Xue School of Automobile and Traffic Engineering, Transportation Department, Nanjing Forestry University, Nanjing 210037, china.
Ph: 13913302896, email:shiling97322@163.com Keywords: Drop and pull transport; energy saving and emission reduction; application Abstract：Drop and pull Transport is an economic, environmental protection, a high efficient mode of transportation.
Thereby obtain energy saving and emission reduction. drop and pull Transport has raise transportation economic efficiency and social efficiency advantage.
Its main features are: (1) Low transport costs. (2) Transport efficiency. (3) Logistics costs low. (4) Energy conservation and emission reduction.
Through to the high-speed toll , oil,Fuel tax,Buy the car cost, maintenance costs,Staff salaries, Depreciation's analysis etc, the sum based on Shenzhen (Quanzhou) freight program's total cost, that is shown in Table 3: Table 3 The total cost of operating the program Variable costs (Million) Fixed costs (Million) Total cost (million) Drop and pull transport 5212.686 858.45 6071.136 General cargo 5939.146 1058.05 6997.196 Shenquan trunk drop and pull transport of total operating cost of 60,711,360 yuan Total operating cost of ordinary goods is 69,971,960 yuan Drop and pull transport Total operating cost savings = 9.2606 million yuan for the 6997.196-6071.136 Drop and pull transport savings ratio of total operating costs 926.06/6997.196 = 13.2% According to the calculation of the actual circumstances of specific data, the operation of the program variable costs, fixed costs and total costs, that the program economically viable.

In order to quickly obtain valuable information from these data, there is an increased likelihood that an intermediate, additional step which is data reduction (dimension reduction) should be performed prior to data analysis.
On account of two reasons mentioned above, it is necessary to develop an efficient approach for solving the problem of data reduction and an approach suitable for limited prior knowledge to construct membership functions of fuzzy sets.
The manufacturing process dataset Data no.
Holmes: IEEE Trans. on Knowledge and Data Engin.
Pawlak: Rough Sets - theoretical aspects of reasoning about data (Kluwer Academic Publishers, 1991)

Reduction ability of carbon and silicon as well as reduction characteristics of Nb2O5 and Fe(NbO3) were compared.
As related work was concentrated on technological conditions, while reduction characteristics of Nb compounds in steel were the fundamental research to be studied, therefore, the research on this paper was carried out, so as to provide data for the technology of direct alloying Nb.
I/a.u 2θ/o Fig.2 XRD patterns of synthetic product Results of reduction characteristics of Nb compounds In CaO-SiO2-Al2O3 slag system, reduction compositions of Nb compounds in Fe-C and Fe-Si melt are shown in Table1 and Table2 respectively, equilibrium ω[Nb] has no obvious difference, while the equilibrium time of reduction of Fe(NbO3)2 is longer than that of Nb2O5; Meanwhile, the reduction capability of silicon (reduction rate 92%) is more powerful than that of carbon (reduction rate 30%).
Therefore, reduction compositions of Fe(NbO3)2 and Nb2O5 have no obvious difference, but the equilibrium time of reduction of Fe(NbO3)2 is longer than that of Nb2O5.
Although reduction equilibrium composition of Nb2O5 is the same as that of Fe(NbO3)2, reduction time of Fe(NbO3)2 is longer than that of Nb2O5.