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IT equipment and systems, housed in data centres, consume a considerable amount of energy.
In this paper, a numerical analysis of flow and temperature distribution of a raised-floor data centre is conducted in order to evaluate the thermal performance of the data centre.
The lower the SHI, the better the performance of the data centres.
As discussed by Fakhim et al. [6], data centre airspace can be divided into two main zones: data centre environment airspace excluding racks (AE), and airflow inside the racks (AR).
It is concluded that CRAC layout in model 11 to achieve an optimum performance in a medium data centre and model 6 leads to a worst performance of the data centre.

DWT-MCDF results in high accuracies with the least sensitivity to training data abundance.
The major drawback of dimension reduction methods is that these work in specific scenarios and no general technique is available that suits all hyperspectral data.
We propose a new classification algorithm based on sparse representation for the classification of hyperspectral data using few training samples in the original high dimensional space and no dimension reduction is applied.
Sparsity is an effective model that deals with constructing of efficient representations of data as linear combination of a few typical patterns which are learned from the data itself.
Support vector machine classifiers as applied to aviris data.

Only I− has a higher promotion of the reduction of bromate at higher concentration than 15. 64 μmol/L, it is due to the strongly reduction potential E0(•I/ I−).
Results and discussion Fig. 1 The effects of NO3− on the Fig. 2 The effects of SO42− on the photocatalytic reduction of bromate photocatalytic reduction of bromate Effects of NO3−, SO42− and HCO3−/CO32−.
Figs. 4 and 5 show the effects of Cl− and I− on the photocatalytic reduction of bromate.
Only I− has a higher promotion of the reduction of bromate at higher concentration than 15. 64 μmol/L, it is due to the strongly reduction potential E0(•I/ I−).
A: Chem. 108(1997), p.37 [22] Wardman P.: J.Phys.Chem.Ref.Data 18(1989), p.1637

Many enterprises have strengthened the management and technique innovation of energy saving and emission reduction to improve the performance of energy conservation and emissions reduction.
Index weights were determined by both subjective and objective method, which fully considers the experience of experts and objective information of data.
Meanwhile, the energy saving and emission reduction target and relevant requirement of government should be considered, so that it can reflect progress of energy saving and emission reduction in thermal power enterprise prominently, effectively and comprehensively.
According to the measured data of evaluation index of energy saving and emission reduction in thermal power, the matter-element to be evaluated can be built.
And the performance level of energy saving and emission reduction in this plant project belongs to ‘high’level.

Four study steps are involved: 1) collection of data for a supply chain model constructed; 2) creation of a value stream map and identification of non value added activities; 3) analysis of root causes of non value added activities, or wastes, identified in the first two steps; and 4) proposal of practical guidelines to reduce or eliminate the wastes.
To lower the cost, reduction or elimination of wastes is a must.
First, data are collected to be employed in a supply chain model construct.
Data are collected from upstream to downstream of the supply chain.
And that cost reduction should focus on these two stakeholders.

Research on I/O Space Reduction of Large-scale Software Systems Gao Zhiyuan1, a, Huang Haifeng1,b, Yao Jianguo1,c, Cao Yang1,d and Yang shengchun1,e 1 China Electric Power Research Institute,Nanjing 210003, Jiangsu Province,China agaozhiyuan@epri.sgcc.com.cn, bhuanghaifeng@epri.sgcc.com.cn, cyaojianguo@epri.sgcc.com.cn, dcaoyang@epri.sgcc.com.cn, eyangshengchun@epri.sgcc.com.cn Keywords: Software Testing, Combinatorial Testing(CT), Test Model, Test Suite, Test Reduction Abstract.
I/O space reduction laws for large-scale software systems Based on the above model, we make a deep analysis on I/O space for large-scale software systems, and the results reveal some important laws.
Toward a Theory of Test Data Selection.
Pairwise Test Data Generation Based on Solution Space Tree.
Black-box Test Reduction Using Input-Output Analysis.

Besides, the pipeline will wait one cycle for data loading.
Table 1 Data used for half-pixel interpolation.
So a data reuse scheme is introduced to solve this problem.
Data used for quarter-pixel interpolation.
The data buffer module is shown in Fig.7.

What’s more, by comparing 10 common kinds of data mining algorithms in our experiment, we have analyzed and summarized that data preprocessing plays a vital role on the performance and importance to data mining algorithms.
b) data distribution is uneven L.
Data preprocessing This paper aims to explain the importance of data preprocessing and how to preprocess KDD Cup 99 dataset, the purpose is not to list all of the data preprocessing techniques.
Data preprocessing aims to improve the quality of dataset by employing any methods which can achieve this purpose, such as dimensionality reduction, normalization and other measures.
PCA is the most commonly used linear dimensionality reduction method, its goal is to map high-dimensional data space to low-dimensional representation by linear projection, and expect the greatest variance in the dimension of the projection data, in order to use fewer features to represent original features.

This paper discusses the impact factors of the energy-saving and emission reduction benefits of electric vehicles.
It calculates how much energy cost electric vehicles save and how much carbon emissions reduction value they get each year.
The number of electric vehicles according to the twelfth five-year plan in Guangdong Year 2011 Year 2012 Year 2013 Year 2014 Year 2015 large-scale commercial vehicles 2500 5700 7010 8520 10260 light commercial vehicles 0 0 1320 3030 5250 taxies 1600 3800 6050 8960 12760 the other passenger vehicles 11000 19900 41370 71440 113530 Total 15100 29400 55750 91950 141800 (1)Energy saving benefits Table 3 shows the estimated relevant parameter of the energy-conservation benefits, according to the combined fuel consumption of all vehicle kinds in the Ministry of Industry and standard power consumption on the current market, among these data, the standard coal consumption is converted by the corresponding fuel consumption or power consumption, It assume that the price of unit standard coal consumption in Guangdong province is 800 Yuan/t.
Conclusion The case show that, the method we provide can measure the directly benefits of energy conservation and emissions reduction of the electric vehicle per year effectively.
Fuel reduction and electricity consumption impact of different charging scenarios for plug-in hybrid electric vehicles[J].

The reduction device consists of a friction element and an elastic steel spring.
Here we introduce the friction device as reduction measure.
For the chosen material data if the spring force exceeds the pre-defined friction force Fr, sliding takes place and consequently energy will be dissipated.
Consequently, no vibration reduction will tae place.
Reduction of pounding effects in elevated bridges during earthquakes.