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This paper by using the principal component analysis to select 13 indicators and establish the indicators system, two main ingredients reflect Yan'an WRCC, thus evaluate Yan'an WRCC in 2006 - 2011 timing data.
The principal component analysis of WRCC in Yan'an Data sources.
According to the statistical data from 2007 to 2012 "Shaanxi Statistical Yearbook" and the "2006 - 2011 Shaanxi water resources bulletin", the original data of each year selected evaluation indicatorsin Yan'an are respectively calculated, see table 1.
Table 1 The original data of each evaluation index from 2006 to 2011 in Yan'an Application of method.
The original data were analyzed by SPSS17.0 software, according to steps 2 - 3 formula, the standardization matrix and the correlation coefficient process of 13 indicators data is no longer listed.

These are important measures to realize energy conservation and emission reduction on diesel engines.
The spray quality is promoted largely when using the high pressure common rail system, the match quality of chamber structure and spray characteristic is also needed to optimize if we want to control the process of the fuel mixture formation and combustion and to achieve the requirement of exhaust emissions reduction.
As for the results, we choose the data among 320-440°CA.

But there were no decreases of yield of root and sucrose of sugar beet in medium saline-alkali soil and reduction of yield of root and sucrose of sugar beet in heavy medium saline-alkali were faintly.
In case of further reduction of arable land resources, fuel ethanol from grains should not compete with agriculture food.
Results Yields and quality of sugar beet and maize in medium saline-alkali soil The difference of yields of sugar beet and maize may be evidenced from the data given in table 2 in medium saline-alkali soil.

According to the “harmless, reduction and recycling” processing principle, landfill method, incineration and compost method were studied that secondary pollution and resource waste problems were unavoidable.
Advanced MSW separation and integrated utilization technology Based on the characteristics of Xi’an MSW, in accordance with the national principle “harmless, reduction and recycling”, the crusher, separation machine, and comprehensive utilization equipment were designed.
Published by China Statistics Press [2] Data were provided by Xi' an Solid Waste Administration [3] Yuwen N; Haijun Z; Su F; Xueping Z; Qing Z; Jiping C, Chemosphere 75(2009),p, 1879-1298 [4]Hasan Belevi and Hermann Moench: Environ Science and Technology 34(2000),p. 2501-2506 [5]Yuan H, Wang L, Su F, Hu G.

It is difficult to extract technical reference information and management decision-making data required for machine tool manufacturers by labor statistics.
The Microsoft ACCESS software, with powerful data processing and statistical analysis capabilities, are easy to be developed into various types of enterprise management software [5].
The table information for machine workbench includes drawing number and name, plotting date, modified data and instruction, and parts type (machine workbench, tailstock, or other parts).
Pre-producing information includes designers’ name, production number, producing data, order number, machine order number, machine number, machine model and quantity, drawing number, tailstock drawing number, and production instruction.
It is convenient to query the pre- produce, performance and application data while viewing machine workbench drawings technical information.

Analysing Reliability Aspects of HVAC Systems- A case Rajiv Kumar Sharma, Chandan Parbhot, Sidhant Thakur, Vivek Thakur Department of Mechanical Engineering National Institute of Technology, Hamirpur, H.P India – 177 005 Keywords: FMEA, HVAC units, failure data, reliability assessment Abstract.
Liberopoulos and Tsarouhas [6] presented a statistical analysis of failure data of an automated pizza production line.
The analysis includes identification of failures, computation of statistics of the failure data, parameters of the theoretical distributions that best fit the data, and investigations on the existence of autocorrelations and cross correlations in the failure data.
Illustrative Case Six months data (July 2010-December 2010) of different HVAC failures is collected and the time between failures have been calculated for each pair of successive failures occurring in the six main identified system failure categories.
[3] Sharma, R. (2005), “Reduction of process defects in chrome-plated cylinder liners in WDM diesel locomotives using TQM tools”, Industrial Engineering Journal, Vol. 34 No. 3, pp. 17-21

The difficulty can be explained that character reduction depending on low approximation sets is so sensitive to noise that many valuable rules can not be extracted.
VPRS [1], presented in 1993 by Ziarko, can overcome the shortage of sensitivity to noise enhances robustness of data analyzing and processing.
Data processing using VPRS model [7] should utilize the result of discretization of attributes.
Classificatory error parameter is to enhance the robustness in processing mistake and invalid data by allowing the presence of error classification.
By allowing the presence of classificatory error, it improves ability of processing data with noise.

Curing time of the applied coatings It is clear from the data represented in Fig. 9, for overall curing stages, curing time for EP-NS coating samples is shorter than that EP (C sample), and the time decreased by increasing NS content.
Fig. 6 Adhesion strength of the applied coatings Data represented in Fig. 5 show that, adhesion strength increased by increasing NS content.
Water absorption and contact angle Reverse relationship between water absorption and contact angle for coated cubes was observed in Fig. 7 Fig. 7 Relationship between contact angle and water absorption of uncoated and coated concrete The represented data in Fig. 7., show that, EP-NS coatings have lower water absorption and higher contact angle values than EP samples.
All of coated concrete cubes recorded compressive strength reduction.
For all of the examined cubes, the reduction in compressive strength values increased with the immersion time.

For instance, a grant of 400 Euro/ton of carbon reduction by implementing GSHP systems has been initiated by French Agency for Environment and Energy Management.
GSHP systems or related products should be tagged in various categories and qualified users can obtain a discount on electricity based on real data.
Considering carbon trade, if energy reduction can be converted to carbon reduction of 0.3 kg/kwh based on Average Carbon Dioxide Emissions Rate issued by the MOHURD, facility users who installed GSHP may have 4.25 kg/year/m2 for carbon trade.
More real data should be collected for cost-effectiveness and the optimal levels of subsidies.
Although this study prioritized the factors affecting dissemination of GSHP, more data is needed to find the evidence of the policies which can demonstrate the dominant force in facilitating dissemination of GSHP systems.

The rolling levels were also varied between 30 and 70% of thickness reduction.
In doing such a data manipulation, care should be taken first to annihilate the isolated pixels of austenite (isolated points highly misoriented and potentially mis-indexed), otherwise an unrealistic large amount of small grains can be created by the reconstruction.
It is worth noting that when evaluated from EBSD measurements, the nature of the grain boundaries is an implicit data, so that the "crystallographic grain size" can also be evaluated in excluding the twin boundaries arising from the annealing twins.
All samples were deformed at 800°C by rolling for 50% of thickness reduction.
Conclusions A new characterisation method using high resolution EBSD data is proposed to directly visualise and analyse the austenite microstructure in a silicon added medium carbon steel, thanks to the residual austenite.