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Table 1Summary of the listed patents Name Decade Means of data collection Means of data processing Manufacturing methods or equopment Level of automation Produce a plaster Degree of ideal orthoses KENNETH DONALD [2] 1994 six video cameras little computer aided apparatus About 60% Not mentioned About 50% C.E.Lowe [4] 2005 pressure sensors Just display machining tools About 65% Not mentioned About 55% LiuHong [5] 2006 pressure sensors CAD computer aided and manual About 65% No About 60% Steven J.Stanhope [6] 2010 Manual CAD laser sintering About 65% No About 55% As shown in Table 1, the key characteristics of the identified four patents in terms of data collection, the means of data processing and manufacturing method were listed and evaluation was conducted in terms of the closeness of the exisiting technology to the ideal orthese manufacturing technology.
In ordertoobtainthe STL format data files more efficiently, theadjustmentof the redundant data to avoid the duplication ofread data point was proposed; and it was suggested that the point cloud data should be processed into two-dimensional line data to organize the scan data and streamline a lot of unnecessary point cloud datasfor rapid reconstruction of human atomomy within virtual environment and subsequent processing.[14,15].
Discussions and Summary The characteristics of idealorthoses manufacturing have been used as the benchmarkfor the assessment of the level of prior artsin terms of data collection, data processing and manufacturing methods.
Information between data acquisition,geometry reconstruction and manufacturingmay be integrated to reduce human interference and improve manufacturing efficiency.
Corresponding Author Yan Wang yan.wang@nottingham.edu.cn Tel +86(0)574 8818 0370 References [1] 2006 Second National Sample Survey on Disability Data Bulletin(No.1) [2] GLENNIE,Kenneth and Donald,W.O.

Figure.1 Workflow, tools and information of assembly Ÿ Data layer Data layer is above the support layer.
(2) Basic data management.
We can integrate basic data management with PDM.
(4) The developed software can also realize data sets generation of alignment field data, experiments, testing and other process.
The knowledge mining of the data assembled data sets is conducted and the assembled knowledge base is built.

The data analysis department interprets and sends the data to user.
(9) Providing fully automatic way to get the data, process the data, analysis results, publishing results
Moreover，Multi-polarization SAR data better than the single-polarization SAR data to detect oil spills and distinguish between suspected oil spill.
In the case of funds permitting ,Priority to order multi-polarization data.
Calbresi, Neural Networks for Oil Spill Detection Using ERS-SAR Data.

The accuracy of the model was endorsed by using untrained test data.
Experimental data were collected and processed to develop the model and generate a large data set.
The adoption of this type of the function depends on data fitting.
In this phase the ANN was validated using a fresh set of 16 data.
The accuracy of the model was endorsed by using untrained test data.

Data presented here are for the 20-30 um defect tile.
For the 40 cm x 40 cm panels , data were acquired with 1 mm lateral resolution at 50 MHz data acquisition rate.
Comparison of acquired phased array data using digital filtering methods.
Data are C-scan data for one single-tile sample inspected from the ceramic-side.
These data show distinct detection of 12mm diameter and 37 mm defects.

Digital mine is to establish a series of different levels of prototypes, systems, material models, mechanical models, mathematical models, information models and computing models by means of modern spatial analysis, data collection, data mining and knowledge discovery, virtual reality, and visualization and internet, multimedia and computing technology [3].
Its core technologies contain data collection and high-speed transport network technology, distributed spatial database and WebGIS technology and spatial data warehouse and spatial data mining technology, 3D virtual reality technology and dynamic simulation and artificial intelligence technology.
Its key technologies involve computer network technology, large database technology, virtual reality technology, computer graphics technology, multimedia technology, monitoring and data storage technology, data mining technology and spatial information technology, etc.
But digital mine demands a basis and open 3D visual platform to manage spatial data, mining geological data and production data, meanwhile, to integrate production control system and monitoring system, etc. this platform has a unified management and analysis for temporal and spatial data
In fact, “smart mine” includes four elements： mine information sensor used for data acquisition, communication information network, information storage device, information process system.

If the neural network learning was successful then ny≈0 for all the training data set.
Then a novelty distance (Euclidean distance [7,10]) was calculated by feeding the network with testing data [10].
The first two principal components that contain the highest data variance are plotted.
PCA projection of training data on RBF network centres of INNER sensor 2.
PCA projection of training data on RBF network centres of OUTER sensor 2.

The gray forecasting model was employed to supplement missing basic data [8].
Data sourcesand preparation Water resource survey in Harbin urban area was carried out to collect and collate the water system data with properties of time and space in 2011.
However, there was basic information and monitoring data which were calculated by month or week, monitoring errors, data cycle variation and other issues in the parameter system.
Thus, this paper has adopted the gray prediction model to determine the data variation model and variation curve based on monitoring data [12].
R indicates the accuracy of supplement predication data

According to data derived from research, enterprises in the cluster is currently actively involved in the global information industry network and webs with multinational companies, and strives to become a member of global network.
The formation of industrial cluster social networks is determined by many factors: small and medium enterprises’ needing for resource dependency in the real environment due to asymmetry of resources and information; small and medium enterprises’ reduction of impacts of external environmental uncertainty on their own development; SMEs’ space concentration in order for enhancing trust among enterprises and so on.
Cluster network is built for the reciprocal exchange of resources, improvement of internal efficiency and reduction of uncertainty of the external environment.

From the load-deflection curves, it can be seen that the deflection change at the later loading stage were restrained by CFRP plate, meanwhile, the CFRP plate stress lag resulted in the reduction of CFRP material utilization ratio due to the existed preloading, which finally leaded to the ultimate load reduction of strengthened beams while the failure mode was the debonding and rupture of CFRP plate.
The comparison between the measured data from testing and the calculation from finite element model were listed in the Table 3.