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Meanwhile, the result data would be analyzed, and the relationship between the number of candidate points and the time matching would be explored.
Experimental Results and Analysis Data of Experiments.
The data of the two experiments is shown in Table 1.
The data of the number of candidate keypoints and the time matching in two experiments are marked on the scatter plot in Fig. 1.
Fig. 1: Data plot and linear regression Shown in Fig. 1, a "+" represents a data point.

But mine safety information is active, dynamic, and spatial closely to location, so, the information system of coal mine should be systematic which contains enormous amount of information data [3].
Work can’t be continued until the risk reduction Ⅰ Red Emergency Rescue Medium The risks that do not want to be seen.
Comprehensive rights management (access and data permissions, tree directory permissions) is designed.
This approach allows developers achieve the menu control rights and data rights by simply defining.
That includes: a) The algorithm and model needs more data examples to constantly modify and development. b) The mine emergency rescue system is a complicated system.

Firstly, the Gabor histogram feature of images should be extracted, and local sampling was conducted to reduce the amount of data processing.
The integration process selects the maximum values of direction and scale, encodes and integrates the maximum indexes of Gabor direction features from every scale and direction; besides, it reserves information of Gabor sub-filters with the most distinctive feature change, and thus effectively represents the changes among different facial expressions; meanwhile, it shields data which contribute little to facial expression recognition, and thus excludes inference to facial expression recognition from those data.
Multi-channel fusion of Gabor features Dimensionality reduction and classifier We adopt principal component analysis (PCA)[7], linear discriminant analysis(LDA)[8] and PCA+LDA to conduct dimension reduction process, and nearest neighbor method as classifier.
In terms of CMU database, since the data volume of each facial expression is imbalanced, the paper only selects 222 images of 4 expressions with relatively large amounts: joy, anger, disgust and surprise from 96 persons.
Experiments show that such method can effectively reduce data volume and enhance recognition rate.

However, an excessive size causes the turbulence at the inner side of the wing resulting the output reduction.
The Analysis of Measurement Data.The result values as Table 1 are acquired after the automobile running winds according to the above condition.
The result of the analysis of Fig 3’s data is shown as following.
And, the measured data are as Table 2.
(2) The analysis result of the measurement data per passing distances is shown as the order, 11m > 8m > 5.5m > 3m > 15m > 0m > 20m >Before Entrance 1m > 25m

The authors put forward that by using mass pulse launched at the pipeline inlet, the characteristic data of pipeline blockages can be identified through its propagation characteristics in multiple non-completely blocked natural gas pipeline segments.
The given pipeline geometry data and basic physical parameters of natural gas for a pipeline system are shown as in Table 1.
The same method can be applied to estimate the characteristic data of the second blockage.
Conclusion According to practical example, it can be seen that the application of the mass flux pulses initiating at the inlet can monitor the hydrate blockage situation of the pipeline in service and identify characteristic data of hydrate blockage dynamically
The monitor of the pipeline blockage situations at real time and dynamic detection of the characteristic data of multiple blockages can be performed

The Finite-element model is developed from the CAD data of the production tools.
Table 1: Process parameters for hot forming process [2] Mechanical Data Thermal Data Structural data · Young Modulus · Thermal expansion · Volume changes · Transverse contraction · Thermal conductivity · Time-temperature transformation (TTT) curves · Flow Stress (true stress-strain curve) · Heat Capacity · Heat Transfer · Friction coefficient · Heat dissipation Hot forming process has various advantages include process advantages and product advantages.
The Finite-element model is developed from the CAD data of the production tools.
The process data such as forming force and temperature history are obtained from actual measurements at production facility.
Fig. 8: Measured and benchmark thickness data along cross section from actual part Summary The results from FLD have shown comparable results for both structural parts that have been simulated in shell and solid modeling.

CO2 Emission Amount of University Campus Buildings Based on Dynamic Analysis of Annual Energy Consumption Yuan SU1,a, Fulin WANG2,b 1Architecture and Fine Art School, Dalian Univ. of Technology, No.2 Linggong Road, Ganjingzi District, Dalian City, Liaoning Province, 116024, China 2 Department of Building Science, School of Architecture, Tsinghua University, Beijing, 100084, China asuyuan@dlut.edu.cn, bflwang@tsinghua.edu.cn Keywords: Energy conservation, Emission reduction, Energy consumption, CO2 Emission Amount Abstract.
In order to grasp the data exactly, the intelligent building automation system to the building were introduced.
Annual electricity consumption of 65 different usages buildings were investigated, the electricity meters were installed on all the main circuits of the building and recorded the detailed hourly data.
Conclusions In this paper, CO2 emission amount and CO2 emissions intensity of 64 different buildings in a university campus at northern China has been assessed by analyzing the investigated energy data and measured hourly data.
id=5130 [5] World Energy Outlook, International Energy Agency: IEA, http://www.iea.org/ [6] Weather data from Energy Plus Energy Simulation Software, Department of Architecture and Urban Design, University of California [7] Statistical in 2010 by the T.

The large-scale electric vehicle customers’ value-added services management platform for massive data cloud storage is a cloud computing system whose core is data storage and management.
The basic management layer is responsible for data processing with the grid computing technology.
To obtain more adequate monitoring data is one of the basic roles of the multi-source data management system.
However, the multi-source data it gathers are not adequate enough.
MapReduce:Simplified data processing on large clusters/Proc of the 6th SOSDI Berkeley Calif. 2004

Data of ARMA model must be stable.
Data of forecast model compared with the original data shown in Fig. 2.
In addition, small amount of data requires by GM model, and in not obvious periodic data it has higher predictive power.
While the MA model requires a relatively large amount of initial data, and in this case the amount of data has just reached its initial basic requirements.
After that I want to increase the amount of data in the case of the full amount of data, re-examine the comparative performance of the two models predict.

It is primary to design a type of muffler which is good for agricultural automobile engine matching and noise reduction effect.
The numerical results show that not only does it provide the 3D distribution data in different crank shaft angle inside the cylinder in the simulation of combustion process, but also it provides a basis for the engine combustion ,emission research, the optimization design of the combustion chamber and the useful information for the designs of muffler.
When the piston moved up, the algorithm of grid reduction should be used in the areas above it.