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Reconstructed spectra with the data drawn out from every ten points of raw spectrum data, were used for developing PLS model after several pre-processing preparation.
Fig. 2 shows data preprocessing scheme consisting of 7 step procedures.
To reduce the data processing time, the raw spectral data were reconstructed by performing data preprocessing procedure.
Reconstructed 10-pixel skip spectrum was composed of 92 data points.
Data reduction effects on performance of prediction model with raw spectra.

Fortunately, these problems can be overcome by utilizing multivariate analysis method capable of dealing with large amounts of data efficiently and allowing rapid extractions of useful mechanical property information from data collected.
The data variations along the long axis are obviously larger than that along the short axis.
This multivariate method can extract or integrate similar information from multiple parameters’ data into one single or two descriptors of deformation behavior without focusing on a particular data range.
Furthermore, valuable information will not be lost during the analysis of collected data [68].
Each sample should be tested at least seven times so as to produce highly reproductive and accurate data.

· In order to restrict the overflow of data the wireless sensor are triggered automatically or on a request to collect and to transmit the data-samples to the process analysis computer by wireless communication and utility IT infrastructure.
All of these devices act as transceivers, sensor data acquitters and repeaters in a single low-cost package.
Conclusions Deregulation, aging equipment, reductions of personnel, and the need to gather more data will increase the need for additional data collected by number of wireless devices in generation, transmission and distribution of electricity.
Once installed, WSANs either contribute to the condition monitoring or communication data used for the asset management/maintenance decisions.
Modern integrated systems can collect all types of data, transport them between the facility and the control center, and then disperse them to the appropriate locations: power system data to the system operator, maintenance data to the maintenance personnel, and security data to the security personnel.

This paper firstly sets up the three-dimensional target’s infrared radiation models and the atmospheric transmission model, and then generates the associated radiation data; Secondly building target 3D geometric model, the radiation data is mapped to the three-dimensional model, target in the 3D space is reconstructed of the infrared radiation characteristics; Finally it is using OGRE image engine rendering technology and GPU programmable pipeline technology that generate the target infrared image.
With the development of computer technology and hardware price reduction, the infrared image simulation technology is widely used in the military field, the use of computer simulation to generate thermal infrared images have been used for target identification and tracking, missile seeker simulation and so on[1].
You can design the different optional material technology for a variety of video card; OGRE will automatically select the one of best support; OGRE have a good support to PNG, JPEG, TGA, BMP or DDS format, and one-dimensional texture, body-texture, cubic texture, HDR (high dynamic range), and compressed textures etc; (2) OGRE supports mesh model and flexible grid data format; Support export models from modeling tools such as 3ds Max; (3) OGRE supports underlying 3D graphics API of both Direct3D and OpenGL ; This makes you to select specific which underlying API by rendering performance in development; (4) OGRE supports GPU vertex and pixel shader program, Including low-level language with assembly language and high-level language such as Cg, HLSL, GLSL; This provides good support for GPU-based infrared scene rendering; (5) The Compositor Framework of OGRE can easily achieve virtual prototype effect of a variety of dynamic infrared imaging system, Such as the effects of noise, the
We use GPU shader technology to read two-dimensional texture data, and to operate the three-dimensional model.
Conclusion This paper firstly sets up the three-dimensional target’s infrared radiation models and the atmospheric transmission model, and then generates the associated radiation data; Secondly building target 3D geometric model, the radiation data is mapped to the three-dimensional model, target in the 3D space is reconstructed of the infrared radiation characteristics; Finally it is using OGRE image engine rendering technology and GPU programmable pipeline technology that generate the target infrared image.

But scaling over length is always a challenge as understanding is limited on how small specimens can be used to achieve representative data.
The loading curves together with elastic modulus are obtained and compared with those data derived from millimetre scale three-point bending test.
A range of specimens with various section size have been tested, and there was a large scatter is in these data; changes between 200 and 600 MPa.
As a consequence we would propose that these cantilever beam data are more appropriate as inputs to the computer models.
However, data obtained from such small-scale tests may be potentially more suitable for predictive modelling of deformation, fracture and overall durability.

These design characteristics, including the data related to various mechanical properties of PCM strength, are determined by statistical processing of the experimental data.
When the fragment is separated along non-parallel planes (most often, this is a tear), tensile failure is added to shear failure and interpretation of the experimental data in this case is not clear.
Diagram for determination of shearing strength Experimental data show that PCM shearing strength along the grain t0,90 exceeds the strength across the grain t90,0 [25, 26] several times.
Consequently, the proposed multi-purpose specimen and reconfigurable equipment allow to provide the data for studying anisotropy of PCM shearing strength in mechanical joints of parts at minimal cost. 1 Fig. 4.
Based on the resulting data, the following dependence is found , (3) where – volume content of stopper fibers.

The main thermodynamic functions were calculated from the data of gas chromatographic analysis.
The obtained data indicate a decrease in the total content of macro and microelements and a decrease in the resistance of wood species to formaldehyde in the series birch → oak → pine → larch.
The amount of water sorption on studied sorbents, obtained experimentally and using equation TOSM (Kind = 453 K) Sorbent Adsorption, mmol/ g experimental data data calculated from the equation TOSM К95 2,34±0,6 2,22±0,7 М95 2,23±0,7 2,11±0,9 М45К20 2,14±0,8 1,95±0,7 The coefficient of internal diffusion of water molecules is determined by the Znamensky equation , where F is the degree of filling of the sorbent tank, t is the time to reach the degree of filling of the sorbent tank, r is the radius of the grain.
The data obtained are presented in table 4. [8] Table 4.
Therefore, based on the analysis of the data obtained and presented in Chapter 4, a technological solution has been developed to reduce the concentration of formaldehyde in the environment.

Generally speaking a complete steam turbine fault diagnosis system includes data acquisition, signal processing and analysis, diagnosis and decision parts which is a concentrated expression of the fault diagnosis technology [7, 8].
Also according to turbine reducer bearing running state diagnosis as an example, it conducted visualization research on the sample data after K-L transform.
In this model, using discrete and reduction algorithm of rough set theory on sample data can achieve the characteristics of the sample data selection; Using neural network to realize nonlinear mapping between the vector and the characteristics of fault samples; Using genetic algorithm to realize the structure optimization of the neural network so that the generalization ability of neural networks optimized.
Wen Zhenhua [16] applied the rough set theory and neural networks to aero-engine wear-out fault diagnosis , based on the importance of decision table and the compatibility of the property, with a self -organizing neural network data processing continuing data to discrete data , using rough set theory symptom information on attribute reduction , access to the main features of signs , such as neural network structure to constitute the sub- neural networks to simplify and laid the foundation to get the final result by the fusion method based on DS evidence theory .
Liu Tianyu [18] understands the importance of selective integration technology in the study, and he points out gear fault modeling complex data because the data has some challenges.

When the validation data does not exist, validation against referents and generation for simulation data may be the choice.
Validation Data Exists.
Fig. 1:Validation against experts Fig. 2 Validation against referents Validation Data Does Not Exist.
There are always two ways in validation: (1) validation against referents, (2) generation simulation data.
Ÿ Property reduction.

In addition to the frame rate, indicators affecting system performance include: throughput, delay, scalability, processor utilization, synchronization overhead, system bandwidth and data channels.
Theories and methods of three-dimensional modeling of the virtual city based on MultiGenCreator Three-dimensional modeling of virtual cities can take the following steps: first, extract the data source to obtain accurate information on the size and location; the original two-dimensional data can be obtained from urban basic geographic information database, including large-scale urban vector graphics and high-resolution satellite images and aerial photographs and so on.
It helps planners to collect, process, organize and integrate huge amounts of data in a three-dimensional scene to form a database with the combination of elements space.
Urban three-dimensional modeling is an indispensable part in development of urban geographic information system, which transfers abstract data into visual data and makes abstract thinking into image thinking and has a direct impact on management, query and spatial analysis of data.
[2] Shimizu Hiroyuki et al: Construction of a 3D model by fusing altimetry data and range data, Journal of institute of image information and television engineers,2004,17(6):827-834 [3] Batty M et al: Visualizing the city:Conununicating Urban Design to planners and Decision Makers, http://www.casa.ucl.ac.uk/visualcities.pdf,2000