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., LTD, Shenzhen, China ahjlfoxes@163.com, bhugodunne@yahoo.com.cn, chugodunne24@gmail.com, wujuebo@gmail.com Keywords: Generalized Green Computing; Data Storage; Application Virtualization; Cloud Computing Abstract.
The energy distribution of Desktop 3.2 Data Center Improvement.
Now the most pivotal problem of data center is the high consumption and high calorific value [5], as shown in Fig. 2.
Rate of Server Management, Power and Cooling Cost Increase According to a 2007 EPA report, U.S. data centers alone consumed 61 billion kWh in 2006- enough energy to power 5.8 million average households.
Reducing data center energy consumption is a pressing issue for the entire IT industry now and into the future.

Due to its advantage, which including the elimination of the need for additional information about data and the ability to extract rules directly from data itself, this theory has been developed and used in more and more domains [6-8].
The data characteristic information is extracted by using the reduction theory of rough set to delete the redundant dimensions and irrelevant variables.
The unit data group amounted to 50.
Using “training-test” method, divides given data set into training data set and test data set (respectively random distribution according to 80% and 20%). 40 groups sample are selected to fault feature selection using rough set and train the BP diagnosis model, and left 10 groups samples will be used to validate the fusion fault model.
Fisher, A fault diagnosis method for industrial gas turbines using Bayesian data analysis, J Eng Gas Turb Power 132 (2010) 82-89

Laurenson4,d Deyang Pei5,e and Hua Jiang6,f 1,2,5,6Suzhou University of Science and Technology, Suzhou, China 3College of Electronics & Information Engineering, Tongji University, Shanghai, China 4 Institute for Digital Communications, University of Edinburgh, Edinburgh, UK aluoheng1981@163.com, balanjpchen@yahoo.com, ctjgah@mail.tongji.edu.cn ddave.laurenson@ed.ac.uk, epeideyang@163.com, fjiang9093@sina.com *Corresponding author 86-13912772146 Keywords: PM pollutant measurement; Sensor network; Energy reduction; Abstract.
(a) Classroom #1 (18m*9m) (b) Classroom #2 (6m*9m) Fig.1 Two sampling locations 2.2 Sampling equipment The direct reading monitoring device, Dylos Air Quality Monitors (Model DC1700, with external dimensions of 17.78mm*11.43mm*7.62mm) were deployed in 5 different locations. 2.3 Data collection The instruments were operated for 47 days from 2 September 2013 to 18 October 2013.
The concentration of particles greater than 2.5 microns in Fig.2(b) doubled that in Fig.2(a) because of low temperature at that day, leading to the reduction of indoor-outdoor air exchange.
Fig.4 Samples with different intervals in 8:55 ~9:40 on 17 October, 2013 (18℃ ~ 22℃ , Cloudy) 3.4 Estimated Energy reduction (1) where Preduced_all is the total power reduction, Preduced_sample and Preduced_TX denote power reduction by sampling interval increase as well as less transmission times respectively.

The validation of the used model with the experimental data was done by predicting the stiffness reduction as a function of crack density.
Firstly, validation and comparison of the used model and the experimental data [15] were done by predicting the stiffness reduction due to transverse cracking for glass/epoxy [θ/90]s angle ply laminate.
First, A comparison with experimental data is done for a symmetric [θ/90]s glass/epoxy laminate [15] which is subjected to uniaxial loads.
These figures exhibit the prediction on axial modulus reduction using the present model and the experimental data published by Joffe et al. [15].
The obtained results show that the predicted model is in good agreement with the experimental data.

The obtained deviations of the rolling force between simulation, analytical modeling and actual data have comparable results and a similar trend of changes through the passes, the average value of which does not exceed 1.54 % and - 1.77 %.
Therefore, obtaining data on the occurrence of such a phase in the metal allows to improve processes of the design, development and improvement of the technology in relation to characteristics of a particular condition and the material being processed.
On the basis of comparative calculations it has been established that the obtained deviations of the rolling force between the two methods of calculation and the actual data have comparable results and a similar trend of changes in the passes, Fig. 4.
Rolling mill Pass H, [mm] 1 h, [mm] 2 Reduction, [%] Factual data Calculation in the analytical model Calculation in Abaqus CAE Deviation of calculations of rolling force, % t, [оС] 3 Rolling force, [MN×100] t, [оС] 3 Rolling force, [MN×100] Rolling force, [MN×100] Abaqus from the fact Analytical from the fact Two-high rolling mill 3170 1 221.3 200.49 9.40 1090 1007 1200 867.78 923.42 8.30 13.83 2 200.49 178.82 10.81 1068 904 1194 946.42 970.29 -7.33 -4.69 3 178.82 158.36 11.44 1068 1000 1187 965.31 963.11 3.69 3.47 4 158.36 139.55 11.88 1044 1017 1179 970.42 943.00 7.28 4.58 5 139.55 120.54 13.62 1073 1015 1169 1060.42 1011.41 0.35 -4.47 6 120.54 103.88 13.82 1023 1077 1158 1048.15 981.68 8.85 2.68 7 103.88 87.23 16.03 1055 1121 1144 1163.62 1088.26 2.92 -3.80 8 87.23 71.81 17.68 1009 1243 1127 1243.94 1174.54 5.51 -0.08 9 71.81 57.87 19.41 1027 1254 1105 1341.91 1291.21 -2.97 -7.01 10 57.87 46.82 19.09 1027 1246 1076 1350.15 1288.40 -3.40 -8.36 11 46.82 37.16 20.63 1041 1397 1037 1532.49
The comparison of power parameters obtained by the FEM and calculated by the analytical method with the actual data on the results of coils rolling with dimensions of 15 mm × 1500 mm made of structural steel grade S355JR+AR at the Steckel mill has been performed.

The strength reduction rate after dry process is not dependent on fiber content.
So the strength reduction of the composite is due to the effect of matrix.
The experimental data of HGC were also compared with those of hemp fiber and matrix resin.
When the strength reduction rate of this HGC is compared with the untreated HGC, the reduction rate of Wet specimen is 59% at 28 days and 70 % at 182 days.
So, it is understood that when the fiber content is high, strength reduction rate is also high, the strength reduction after long duration of immersion is almost equal.

The space averaged method is employed to analyze the scale of fluctuation of soil in the vertical direction of Tianjin combining geology data, and regional representative values are obtained, which is of high application value on risk assessment and reliability analysis in geotechnical engineering.
Introduction Test data of soil properties indexes just represents characteristics of points, not space average properties.
In this paper, the two main methods are introduced, and geology data of Tianjin Port is analyzed and the correlation distance of this area is obtained, which can be applied to practical project.
Compared with other sampling tests, sampling distance of cone penetration test is smaller, for which more data can be obtained in the same soil layer; and more cones in the lateral direction can reflect more truthfully of the soil profile.
(3) Bayes theory provides an approach to employ existing similar engineering experience, which is of highly importance to summarize regional data of correlation distance.

For CO₂ reduction rate, the CO₂ emissions generated from a manufacturing process of existing ordinary cement products and blast furnace slag products were measured, and each range was set and judged based on the reduction ratio of blast furnace slag for ordinary cement.
Environmental load reduction performance.
Table 7 CO₂ reduction rate test result Performance requirement item Test specimen Test result Performance evaluation standard GFRC Blast furnace slag goods(GRS) CO2 reduction rate* [㎏-CO2] Ⅰ 0.879 0.477 A. good : over 60-80% B. common : less than 30-60% C. bad : less than 0-30% Ⅱ 0.903 0.393 Ⅲ 0.886 0.416 Average value* 0.880 0.420 CO2 reduction rate 47.73%(B.
However, some performance requirements lack previous examples, data, etc., so the objective and comprehensive standard setting was insufficient.
It is necessary to accumulate data through tests and constant monitoring of construction examples and carry out an additional study for preparation of objective and synthetic performance guidelines for efficient management of construction targets in the future.

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)

All the data recorded under the application of the magnet were analyzed and compared with the same collected under identical conditions during conventional machining process.
From the FFT plots of the vibration data (samples shown in Fig. 2 & 3) two peak acceleration amplitudes are identified in the wide frequency range from 0-7,500 Hz.
Fig. 5: Percentage Reduction of acceleration amplitude due to the application of magnet Effect of cutting parameters on percentage reduction of acceleration amplitude.
To evaluate the influence of the individual machining parameters on percentage reduction of acceleration amplitude, single factor plots of the percentage reductions were generated.
The maximum reduction of acceleration amplitude was 73.43% and an average reduction of 31.58%.