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In this paper, a numerical analysis of flow and temperature distribution of a small raised-floor data centre is conducted in order to evaluate the thermal performance of the data centre.
Fig. 1: A typical data centre with HACA arrangement.
Fig. 2 Schematic of the modelled data centre.
As discussed by Fakhim et al. [5], data centre airspace can be divided into two main zones: data centre environment airspace excluding racks (AE), and airflow inside the racks (AR).
Hence there is a reduction in the SHI value along with a reduction in the exergy of racks leading to the decrease in exergy destruction (according to Eq. 1).

The other is the operation model change, introduction of energy saving and emission reduction technology, and reduction of traditional IT sales costs.
All the software runs in the cloud computing data center.
Business data is also stored in the cloud data center.
The security of cloud computing data center has two main aspects: First, security issues of cloud computing data center environment itself.
Cloud Computing Data Service Availability Requirements.

Rough set only deals with discrete data, but the original attribute value is consecutive, so the data must be discredited.
The way of equivalent space interval is used and reduct attribute is taken out, and then obtain discrete data outcome listed in TABLEⅡ.
Discrete data outcome U a f D 1 1 1 1 2 1 1 1 3 4 2 2 4 4 3 2 5 4 4 3 6 4 4 3 7 2 2 4 8 2 3 4 9 1 1 1 10 4 2 2 11 4 4 3 12 2 2 4 The last decision TABLEⅢ. comes from TABLEⅡ. through condition attribute reduction.
Conclusions The condition attribute reduction algorithm proposed in this paper has universal property, so it can be used in other information domain, and it is more effective for the higher dimensional condition attribute and data.
[8] Parpinelli R S, Lopes H S, Freitas, “Data mining with an ant colony optimization algorithm,” IEEE Transactions on Evolutionary Computation, vol. 6(4), 2002, pp.321-332

The FT-IR and Raman results showed that the reduction degree of GO to rGO was increased with the rising of the reaction temperature and time.
The optimal condition of the chemical reduction of GO to achievable rGO was the temperature of 90 °C with the 45 min of heating time.
Then, all the synthesized rGO samples were characterized by spectroscopy techniques to analyze the reduction degree of GO.
These data confirmed that the reduction degrees of GO convert to rGO are increased over the chemical reduction method by using vitamin C as a reductant, this result is consistent with previous reports [2,6,7].
The color change in the GO suspension afetr reduction is confirmed that GO is reduced to rGO as same as previous papers [1,3,5,6].

The ShUNP2-10 is a nanomaterial which was prepared for this drag reduction technology.
In the paper, we reported the surface properties and the drag reduction properties on the core surface.
The water phase permeability（WPP）was applied to evaluate drag reduction effect.
The measured datas of the fluxes and pressures were treated by regression method according to Darcy’s equation, so WPPs before and after displaced with ShUNP2-10 suspension were obtained, respectively [3].
It showed the ShUNP2-10 have significant drag reduction effect and very good practical value.

Linear and exponential curve fit of experimental data is performed respectively to describe the evolution of damage as well as the descent of ultrasonic velocity with respect to the loading history.
The reduction degree of ultrasonic velocities is calculated according to following equation.
But then it can be seen from this figure that the mix proportion has no visible effect on the relationship between the damage and the loading history, so two groups of data can be investigated together.
The rule of ultrasonic velocity reduction for concrete specimen experienced hydrostatic compression.
And that induce the reduction of strength and the descent of ultrasonic velocity.

The relationship between the drag reduction efficiency and heat transfer reduction was analyzed.
The heat transfer reduction can reach up to 80~90%, which is greater than the drag reduction.
All the data were collected by data acquisition board and processed by computer.
The results calculated with (7) and the measured data are shown in Fig.5.
Apparently, the measured data of HTR due to drag reduction induced by polymer was greater than the calculation results according to the Gnielinski formula.

The comparative analysis of computation and experimental data has shown that the offered model can be used in the qualitative analysis of processes of interaction of multicomponent oxide melts with gasesreducers of various composition.
The comparative analysis computation and experimental data has shown that the offered mathematical model can be used for the qualitative analysis of processes of interaction of multicomponent oxide melts with gases-reducers of various compounds.
Discussion of results The initial data for calculations were the following: temperature changed from 1473 up to 1923 K with step 50 K; pressure - 1 atmosphere; a portion of hydrogen - 0.1 mole; melt: B2O3 -25.98 mole, CaO - 10.83 mole, NiO - 1 mole.
It is necessary to take into account the comparative analysis of the experimental data received under various conditions of experience.
Liquid and gas interaction during reduction in bubbled layer.

There is a lack of complete understanding of the mechanism and kinetics of reduction of metals from oxides.
Investigation of mechanism of metals’ reduction from complex oxides and influence of experimental conditions on the nucleation and growth enables to identify new patterns in the process of reduction of metals from their oxides, in general.
In the reduction process distribution of metal in different ores has its own characteristics.
As an example, during metal reduction of low-grade South Ural ores the reduction process spreads over the volume of the lumps without formation of a continuous metal shell on the surface with the metal phase inside; the non-metallic layers of the silicate phase act as distribution channels for the reduction process.
Experimental Parameters Temperature, °С Holding, hour Slice Number (distance from the surface of a sample) 1300 1400 1500 1600 1,3,5,7 1,3,5,7 1,3,5,7 1,3,5,7 1,2,3 1,2,3 1,2,3 1,2,3 For the initial data on statistical calculation, 3 parameters were used: temperature (T), holding time (t) and slice number (N).

We should continue to work on related technical standards, promotion policies, and requirements and support measures for the public transport industry, accelerate industrialization and marketing of hybrid vehicles of self-owned brands, and develop advanced system matching technology. ④ Developing intelligent transportation The construction of intelligent transportation, use of modern communication and information technology such as highway electric toll collection (ETC) system, geographic information systems (GIS), and port electronic data interchange (EDI) are promoted vigorously [8].
Assessment and trend analysis of transport Energy Conservation & Emission Reduction.
Perspective on policy "bottlenecks" for energy saving and emission reduction of China's motor traffic.
Ways and experiences of European urban transport energy conservation and emission reduction.
Empirical study on management methods for energy conservation and emission reduction of transportation enterprise.