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Finally, realize the reduction of logistic cost.
Sometimes the whole system didn’t get the best profit, as distributers always shows the data good for them and FMCG companies largely depend on thus information.
Set up the evolution index system of distributers N Company has five sales regions, based on the data of 2010; the following three are the total logistic cost company N need to pay for the distributers.

Management station implements the function of data collection, storage and analysis, data packets transmitted between the management station and the device agent just completes the data collection of interactive work.
How to realize high efficiency data collection of the network management system is a difficult problem.
Management station requests data collection by sending SNMP data broadcast packets to each subnet; the managed devices agent extracts the request information of the polling packets when they receive the broadcast.
If the device's IP address is not included in the parsed data, the agent will put its IP address information to the management station; if the IP address is included,the agent will check the parsed data and the community with the IP address,then transmits the collecteddata to the management station after verification.
References [1] BEEKHUIZEN P,DENTENEER D,RESING J C.Reduction of a polling network to a single node[J].Queueing Systems Theory and Applications,2008,58(4):303-319

Existing proposals can be generally classified into several categories, including tree-like structures, data compression, dimensionality reduction approximate search and one-dimensional transformation.
The goal is to support not only point data but also extended spatial data and therefore, the X-tree uses the concept of overlapping regions.
The data nodes of the X-tree contain rectilinear minimum bounding rectangles (MBRs) together with the object identifier to the actual data points.
As the amount of data increases, the image data dimensionality growth than ordinary data overlap region growing a lot faster.
The X-tree: An Index Structure for High-Dimensional Data[C].

This system also can learn new vegetables growth data and representation it to control vegetable producing. 1.
The sensor has A/D transfer faction, they transfer analog signal to digital signal so that central intelligence control and processing unit can receive it. 2.2 Central Intelligence Control and Processing Unit This unit can deal with complex and illdefined problems, greenhouse vegetable production is a particular non-linear problem, there are many noisy and incomplete data, and it can be learn from examples and has powerful fault tolerance.
In this study, a computer uses to performance this faction. 2.3 Growth Database The feedback data and initial data stored in growth database.
Artificial neural networks are good for incomplete information, incomplete data sets, and nonlinear problems.
They can learn from data sets which got in practice and have robustness and fault tolerance.

The reduction ofresults in a decrease of the [C] content required for removing P and retaining Nb, as well as makes the process of dephosphorization more feasible.
A low temperature, high [C] content and adopting a highly basic oxidizing slag with a large phosphate capacity favor the reduction of so as to increase the control range of [C]A-[C]C and [C]B-[C]C.
From Table 3 we can see that the critical partial pressure of oxygen for Nb-O reaction decreases as the reduction of the activity of (Nb2O5).
(10) Thus, if Nb is not oxidized and P is oxidized to 0.05%, required for dephosphorization under the oxygen potential of retaining Nb can be obtained from formula (10) using data in Table 4.

Then used MATLAB to simulate this algorithm’s advantages in data amount and sending times.
Compared to traditional binary anti-collision algorithm, dynamic binary anti-collision algorithm reduced data redundancy at each search process, thus reduced the amount of data transferred.
Analysing the anti-collision algorithm, a conclusion can be drawn that, improvements of the traditional binary algorithm is mainly from the reduction of transmitted data bits and the number of commands sent.
c) Read and write commands, RW[4]: readers can read and write data in the chosen tags.
Due to this improved algorithm cuts the redundant data of request command, so compared to the original algorithm, this algorithm greatly shortens data and times of communication between the reader and tags.

Potential parameters were optimized to describe the database of DFT data.
POT_TiV predicts the thermal expansion of pure vanadium in a perfect agreement with experimental data [16].
However, we obtained the very good agreement of these calculated values with the experimental data.
Desai, Thermophysical Properties of Matter - the TPRC Data Series.
Hestermans, Thermophysical properties of matter-the tprc data series.

The stress velocity exponent was evaluated from the dynamic fatigue testing data.
The experimental data were least squares fitted to the Equation 3.
A reduction in modulus in water and saliva, as well as a change from unimodal to bimodal strength distribution indicates that the most danger flaw grows resulting from stress corrosion.
The values of n in the range from 11 to 23 are in consent with our previously obtained data on dynamic fatigue of HA ceramics in an isotonic solution containing 0.9% NaCl (n = 12) [7].
It follows from the data in the Table, that the presence of alkali-metal ions, chlorine and HCO3 in the solution has an insignificant effect on stress corrosion.

This paper provided three test data pertaining to the mechanical properties of steel reinforced concrete (SRC) eccentric columns after exposure to fire and one comparative test data pertaining to the mechanical properties of steel reinforced concrete columns at room temperature.
This paper is one of series study on the mechanical behavior of SRC members including beams, columns and nodes after exposure to fire, mainly providing four test data pertaining to the mechanical properties of SRC columns.
The average reduction of load bearing capacity is about 24%.
The average reduction of load bearing capacity is about 24%.

Simultaneously, the Auger and XPS data show a decrease in Si intensity.
At each step, again LEED, AES and XPS data were taken to monitor changes to the chemical and structural properties of the surface.
For comparison, the plot also shows AES data from the fresh polished sample (top curve) and a polished sample prepared by the RCA recipe (second curve).
With increasing temperature the (1×1) periodic spots become brighter accompanied by a reduction of the background intensity.
Simultaneously, the Auger and XPS data show a decrease in Si intensity.