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Introduction In case there is no index the great amount of multi-dimensional data with, data querying is quite slow.
The data object region of leaf node stores the information of index data, and the data object region of non-leaf node stores child nodes.
Thus it ensures the sequence ordering of index records in leaf node and a reduction of overlap between non-leaf nodes.
Two data sets are used in the experiments, Intel data set and Bio_Train data set.
N attributes in the data set are selected as the experimental data and converted into FloatStream a data type of VegeBam2.0, and imported into the database.

Urban emission reduction can be taken into meticulous management.
Based on high resolution remote sensing data we can automatically extract the data of piling up waste, which has area greater than 100 ㎡ or more like construction waste, industrial waste, mixed garbage and solid waste.
Using CORS system builds on the bedrock of base stations in crustal deformation monitoring network, using observation data of base station, crustal deformation accumulation area, provide experimental data for urban earthquake forecast.
The result of basic surveying and mapping provides spatial data base for city management.
New data clustering method for farmland evaluation based on fuzzy-hyper graph model.

The largest slump reduction presents at the mixture with single incorporation of PAF with reduction value of 77.5 mm.
Concrete crack resistance abilities Table 5 Experimental results of Concrete crack resistance (0.9kg) Experimental group Maximum crack width ωmax [mm] Total crack areas A [mm2] Cracks reduction factor η Crack resistance performance levels Blank 2.21 1645.6 -- -- PF 0.72 143.5 0.6742 A PAF 0.54 110.4 0.7557 A CF 0.46 97.2 0.7919 A VICK-M1 0.51 101.9 0.7692 A VICK-M2 0.50 74.6 0.7738 A VICK-M3 0.44 72.4 0.8009 A VICK-M4 0.79 105.4 0.6425 A VICK-M5 0.43 66.8 0.8054 A Based on the above experimental data and graphs, it can be seen that the fiber incorporation can effectively restrain the early concrete plastic shrinkage crack.
Crack width reduction coefficient and crack area reduction coefficient are influenced by fiber type, fiber volume fraction and the way of fiber incorporation.
From the crack area reduction coefficient data, the largest one can be up to 94.09%.
The maximum crack width reduction coefficient, crack area reduction coefficient is only 2.27%, 7.73% respectively.

Parameters as: angle between flange and sidewall, angle between sidewall and part bottom, chamfer radius between part bottom and sidewall or chamfer radius between sidewall and flange are recorded in a data base.
The initial simulations plan together with the generated data base is used as an input for the genetic algorithm optimization method.
Material Properties Simulation of the forming processes based on finite element method using Dynaform 5.8.1 software requires as input data the mechanical properties of the used materials.
The data acquisition, processing and visualisation were performed using Catman Express software.
To validate the optimization method, a simulation has been performed using as input data the BHFs values generated by genetic algorithm optimization tool box (Table 4).

The results showed reduction in density, compressive strength and consistency and an increase in setting time, and flexural strength.
Mostly, the data in this regard pertains to the hardened state of the material.
Both Needle test and flow table test authenticate the reduction in consistency. 2.
Reduction in consistency indicates that the particles absorb water and thus enhance water requirements. 3.
Reduction in density is attributed to lower density of the particle. 4.

CaO•MgO, and ferrosilicon into retorts inside reduction furnaces.
The briquettes after the MgO reduction are discharged from the retorts as a by-product or waste.
Some of the agent data are listed in Table 1.
Fig. 2: XRD pattern of original Mg slag (a) and sintered slag-borate mixture with 0.53% DB (b) Fig. 3: Equilibrium phase distribution, in gram or weight percent, during cooling of the Mg slag in temperature range of 1300-100°C calculated by FactSage 6.2 The composition of Mg slag in Table 2 was adjusted in Table 3 as input data for the thermodynamic calculation using FactSage 6.2.
There was also a volume reduction of 20-30% for the sintered slag-borate briquettes.

Data gathering.
Starting point are highly aggregated data on factory level.
Separate value trees are set up for input (energy, material, manufacturing equipment, and personnel), throughput (machine times, machine states, and order data) and output data (products, emissions), compare [8].
The separate data trees are connected by horizontal calculation rules.
This level requires mainly technical data, e.g. processing and setup times, tool life, and electrical power per machine state.

For e.g. in TELNET, a typical packet contains 1 byte of data.
In large packets the header overhead becomes negligible as its size would be appreciably small when compared with the size of data encapsulated.
Data encapsulation takes place at each layer in terms of control information added as headers and uses a set of protocols to send data down to the next layer.
For e.g., 90% of TELNET and RLOGIN packets carry less than 10 bytes of user data.
Now the datagram with the customized IPv6 header is encapsulated into a frame by the data link layer and sent to the destination host.

Operator as well as equipment efficiencies have to be validated and process waste has to be assessed with reliable and precise data on macro and micro levels.
First, it consolidates the current performance data and therefore determines the baseline for efficiency improvement.
Data-driven Approach.
The process is highly based on shop floor data, thus the quality of data input and its detail is of critical importance.
To ensure this quality, experience is required in performing time studies and observations as well as in deriving the data incorporated in the production index.

Introduction CAPP (Computer Aided Process Planning) is a manufacturing process technology that used the computer aided technology to design parts from rough to finished product, is a method that convert the data of design to the data of manufacture.
In CAPP, you can use RS theory, knowledge acquisition and optimization, the use of extracted data reduction rules, and use of these rules, the automatic selection of processing methods.
In the CAPP system, with fewer code bits to a more comprehensive description of part information, the processing data of parts used in this paper was constructed by the mixed encoding system that tree structure combined with chain structure. 20 bits was used to express this encoding.
Outstanding advantages of rough set method are without any human intervention, directly extract rules from sample data to improve knowledge of process design system reliability and objectivity.
Using filing function to make the filing process documents, take process data stored in a database.