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With each set of test repeating 5 times and taking samples in every stratified soil (6 Layers) every time (7 periods), using 12 sets of experiment, respectively, the combinations of 3 categories factors (2 kinds of soil, 3 types of soil cover, 4 times typical rainfall event) to obtain a valid set of 840 hierarchical data.
Data collation and mapping use Excel 2003 and GraphPad software (Version 5.01, GraphPad software, Inc.).
Use SPSS software (Version 18, IBM Corporation) for normal distribution to the data survey, correlation, ANOVA, t tests, etc.
Each set of data can be routine statistical analysis, through the 0.05 level KS normality test.
In general terms, the average reduction rate of CODCr of B is about 3.24% higher than that of A, and the average reduction rate of ammonia of B is about 5.21% high than that of A, and the average reduction rate of TP of B is about 3.70% higher than that of A .

This paper describes the technical problems for upgrading efficiency by core loss reduction on high speed motor.
These characteristic data is useful for magnetic characteristic analysis.
Design Technique – Vector Magnetic Characteristic Analysis In order to develop the high efficiency high speed motor, computer simulation technology is used for the design of core loss reduction by vector magnetic characteristic analysis as shown in Fig.11 It is very difficult to design the shape construction for core loss reduction on motor.
Fig. 12 Parameter for reduction of core loss.
Vector magnetic characteristics is useful and should be utilize for core reduction of motors.

The pre-processor of the DEFORM software is designed to assist users in preparing and verifying input data during the forming analysis.
The compression force at each step reduction were extracted from the DEFORM software.
The flow stress was determined as a result of the potential fitting of the data obtained using the Grapher 3 software.
118.083 (a-d)/a*100% 23.31% 19.95% 31.61% Fig. 13 Comparison of compression force (kN) for angular velocities (w=0.5, 2.5, 6.5 rad/s) with a friction factor of m=0.9 Table 8 Datum shown in Fig. 13 Force (kN) R%(20) R%(40) R%(60) (a) m=0.9 55.833 93.831 243.84 (b) m=0.9, w=0.5 42.902 68.772 182.988 (a-b)/a*100% 23.16% 26.71% 24.96% (c) m=0.9, w=2.5 27.75 45.736 93.578 (a-c)/a*100% 50.30% 51.26% 61.62% (d) m=0.9, w=6.5 25.325 41.317 79.536 (a-d)/a*100% 54.64% 55.97% 67.38% Fig. 11(Datum in Fig. 11 are in Table 6), Fig. 12(Datum in Fig. 12 are in Table 7) and Fig. 13 (Datum in Fig. 13 are in Table 8) show the differences in compression force required to deform the ring specimen at each reduction.
At 60% reduction, with an angular velocity of 0.5 rad/s, friction factors (m) 0.1, 0.5 and 0.9 showed a reduction in the compressive forces by 3.04%, 11.15% and 24.96%. 2.

By using the reduction procedure, various mechanical quantities can be calculated more simply, as compared to the traditional methods.
These quantities represent basic data for the dynamic, vibration and structural analysis of mechanical systems with complex motions, such as various industrial robots [8].
Reduction of a homogeneous elliptical plate to a discrete system of material points In paper [5], two elementary bodies were analyzed: triangle and parallelogram.
Homogeneous elliptical plate Application In order to highlight the benefits of the reduction method proposed above, an application is studied.
Orăşanu, Reduction of the conical and pyramidal bodies to the lower order bodies, The XXth SISOM, Ed.

The BP neural network sensor data fusion, and can greatly reduce the feature dimension data transmission, data fusion to improve the efficiency of a wireless network.
The schematic model of data fusion algorithm is shown in Fig.2.
BP neural network algorithm uses a single hidden layer of the data collected by wireless sensor networks for data fusion.
After the data fusion algorithm BP neural network applications for each cluster, the neural network models for each cluster, the nodes in the cluster to collect data using the input neurons function to preprocess the data collected and handled well data to the cluster head node.
Eigen value data fusion is much less than the amount of data collected, thereby reducing the amount of data transmitted, reducing power consumption and prolong the life of the wireless sensor network.

Also, Six sigma provide measurable indicators and adequate data for analytical analysis [4].
The systematic usage of statistical techniques in Six Sigma was found to be very powerful in analyzing the process data.
In this phase, the data are processed to determine the root cause and discover the opportunity for the improvement.
The purpose of the confirmation experiment was to validate the conclusion drawn from the above analyzed data.
In this process, the past data was collected initially for the rejection quantity and measured for the current performance.

Under current situation, with high labor cost and energy cost having an impact on production cost, the need for cost reduction in the industry is extremely of concern.
This research demonstrates application of the lean supply chain for cost reduction in the industry.
Methodology Four main steps are involved in this research: First, a study on the current state of the rubber glove supply chain using data collected in southern Thailand - logistics cost is classified in this step; Second, identification of NVA activities with the purpose of reducing the wastes in the supply chain, NVA activities with higher logistics cost are chosen for further analysis; Third, analysis of the causes of NVA operations and investigation of countermeasures against them; Fourth and final, proposal of practical guidelines to reduce those wastes. 3.
Based on data collected in this study, VSM of rubber glove supply chain is developed in Figure 3.
On the total cost, inventory reduction in the supply chain should be focused on the rubber glove industry.

The paper proposes a global backlight dimming algorithm for CR enhancement and power reduction.
The BLU dimming will lead to image brightness reduction if the pixel grays are not compensated.
To reflect both the image brightness and CR, 2 data are got from the histogram: H25 and H75, which means the gray level including the 25% and 75% area of the image histogram, respectively.
The data in Table 1 clearly show that the proposed dimming algorithm reach average 34.95% CR improvement and 11.30% power consumption reduction.
Let’s take a deep look at the simulation result data in the table 1.

The data reveal that LAH could effectively reduce terpene maleic anhydride to corresponding alcohol, and the conversion rate of raw material could reach 84%.
To date, few studies have been reported on the reduction of dicarboxylic acid anhydrides using lithium aluminium hydride as reductant for the production of diols2-3.
Results and discussion The influence factors of reduction reaction As shown in Figure 1, the synthesis started with a highly efficient Diels–Alder reaction between dipentene and maleic anhydride to produce TMA, followed by a reduction reaction using the aid of lithium aluminium hydride as reductant.
Control of lithium aluminium hydride reduction of Cyclic Dicarboxylic Acid anhydrides to produce γ-Lactones or Diols.
Efficient one-pot selective reduction of esters in β-ketoesters using LiHMDS and lithium aluminium hydride.

New information is ultimately mined from “Data Sea” filed up in existed structures.
So much important information are hided behind the surging data , people hope to do the analysis of higher layer, for the purpose of better utilization on these data.
The current database system can efficiently carry out the function of data entry, searching and calculation.
However, it can't discover the existent relation and the rule in the data and can't predict the future development trend according to the existing data.
Lack of the methods of excavation knowledge the data concealed, cause the phenomenon of” the data explosion and the knowledge lackage".These systems have already constructed huge"data mountain" on the scene currently.