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OPC UA client has user interface which can display real-time data.
The system framework is shown in figure1: Fig 1 The framework of public building energy efficiency control simulation system Development and realization The system uses OPC UA interface to realize energy data exchange between data collection layer and data processing layer.
Two types of Variables are defined, Properties and Data Variables.
Data variables represent the content of an object.
The OPC UA server and client acquired the real-time data from the underlying equipment firstly, then analyzed the data and issued energy-saving schemes.

In order to improve the overall efficiency of energy utilization in silicon smelting furnace, a technology solution to recover the furnace radiant heat and exhaust energy was described in this paper; and based on the operation data of a 3200 KV·A industrial silicon smelting furnace, a 400 kW steam turbine generator unit was designed, and the economic benefit from the technology solution was also analyzed.
The results show that this technology solution brings a remarkable performances of energy saving and emission reduction: about 14% of the supplying energy could be recovered; the investment payback period is between two and three years, the economic benefit from the technology solution would reach 4.72 million yuan in ten years.
Industrial statistic data show that in most Chinese silicon manufacture companies, the average power consumption of silicon production per ton is over 13000 KWh, much higher than 11000 KWh in the advanced foreign companies.
During smelting process, it would generate high-power electric arc which cause the reduction reaction between the carbon and silicon dioxide, and the flue gas produced from the reduction reaction should be emitted freely so as to release the furnace’s pressure and decrease the electrode’s temperature.
With the application of waste energy recovery system, energy saving and emission reduction would be achieved greatly: about 14% of the supplying energy would be recovered; the investment payback period is between two and three years, the economic benefit from the technology solution would reach 4.72 million yuan in ten years.

To meet the sectional lamps management requirement, software of SDACS provides functions of real-time data acquisition, basic data stat and analysis, lamps control and data output as shown in Fig  4.
Polling flow chat Specific data structure is designed to collect real-time data.
The system succeeds in data acquisition and lamp control.
The time cost on sending a single data instruction is estimated as 144*100/50000=0.288 seconds, data volume transfer through GPRS each day is 144*100*12*12=2.073 Mb.
As a result of the reduction of both data sending frequency and transferred volume, system energy is saved greatly and living life is extended.

In order to avoid the orientation noise, misorientations below 2° were not considered in the data post processing procedure.
Three different stages of the recrystallisation are clearly distinguishable after examination of the hardness tests results shown in Fig. 1b, together with the evolution of the microstructure and microtexture during annealing represented by the OIM data, (cf.
Fig. 4: φ2=45° section of the ODF for the following samples: (a) hot band material, after (b) 10%, (c) 35% and (d) 70% reduction, after annealing at 800°C for 4 hours following (e) 10 %, (f) 35%, (g) 70% of reduction and after annealing at 900°C for 4 hours following (h) 10 %, (i) 35%, (j) 70% of reduction.
After a reduction of 10%, the samples annealed at 800°C for 4 hours displayed an average grain size of ~130 µm, ~50 µm for 35% of reduction and ~30 µm after a reduction of 70%, (see also Fig. 2g and 2j).
Shear bands with 20 to 35° of inclination with respect to the rolling direction are formed at reductions of 35%.

The maximum value of vibration-reduction ratio is 36.7% at the ninth floor.
The vibration-reduction ratio increases with the enhancement of seismic acceleration and vibration-reduction effect is evident.
The effect of vibration-reduction is evident.
The results indicate that the dampers have a good effect on vibration-reduction
CANNY2004 DATA-INPUT MANUAL.

From the data, the CO2 emissions of China’s steel industry stand at more than fifty percent.
This technology has be applied at No.2 blast furnace for a long time in Russia RPA Toulachermet; Production data show that the coke ratio of blast furnace can reduce by 28.5%, and increase 27.3%.
This direct reduction technology use the matural gas as heat source and reducing agent, and it is one of two main types of direct reduction technology.
FINEX technology can overcome some shortcomings of the blast furnace, the furnace of COREX, direct reduction shaft furnace process.
HIsarna This technology is a new type of melting reduction technique.

Rough set theory is a soft computing method to solve imprecise and indeterminate data which is proposed by Z.Pawlak in 1982[5].At present, it is widely applied in research fields of machine learning, pattern recognition, data mining and so on.
Then, variable precision rough set model is proposed by Ziarko in 1993 [6].The model has certain fault-tolerant ability, and it is mainly used for solving classification problem of incomplete data.
So, initial multi-features set is in need of reduction.
The reduction set could be defined as follow.
The running speed is increased, and it is also able to guarantee that the feature attributes reduction set is the minimal reduction asked for.

This method adopts PSO to eliminate the superfluous parameters in SVDD and carries out dimension reduction to data; then, establish the super sphere model to detect the network intrusion data and output the results of intrusion detection.
Provide the data set , of which the normal data set is and abnormal data set is .
Experimental Verification Sources of Data The experimental data set adopts standard data set KDD CUP’99 assessing intrusion detection.
Fig.1 Process of PSO-SVDD Intrusion Detection Method Experimental Plan Design Since KDD CUP’99 original data set is very large, the experiment chooses kddcup.data_10.percent of representative data in KDD data as the training data.
Considering that there are only 52 records of U2R in kddcup.data_10.percent data set, in order to expand the sample set, 396 sets of data are extracted in the kddcup.data.corrected data set as the training data.

A slit die connected with gear pump and data Acquisition system designed by ourselves[8] were used to in-line measure the viscosity of polymer/CO2 solutions. 2.3 PPO/POE-g-MAH Blending assisting with SCCO2 PPO resins were premixed with 5,10,15wt% POE-g-MAH and a little amount of antioxidant.
A reduction of shear viscosity was observed by dissolving CO2 into the polymers.
So the reduction of viscosity by SCCO2 is not more obvious than that of PPO.
(a) PPO (b) POE-g-MAH Figure 1 Shear viscosity data of polymer/CO2 solutions at 275℃ 3.2 Morphology of PPO/POE-g-MAH blends Figure 2 showed the SEM photographs of PPO/POE-g-MAH (90/10) blends at various contents of CO2..
The coarsing of disperse phase sizes are responsible for the reduction of impact strength.

ajwpan@vt.edu, bchengjq@vt.edu, ctomonari@vt.edu Keywords: Data fusion, Probabilistic full-field measurements, Material characterization Abstract.
The developments in data fusion have seen improvements of the full-field measurements in a variety of imaging applications.
Multi-camera Data Fusion of Probabilistic Full-field Strain Measurements Multi-camera Data Fusion of Dot Locations.
It is noted that the left superscript d indicates the data fusion results.
Robinson: Data reduction and error analysis for the physical sciences (McGraw-Hill, Boston 2003)