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， i=c，f，p (1) The methods of data collection for formula (1) are described in table 1.
Methods for estimating energy consumption and GHG emission reduction.
Methods of data collection for formula (1) Para-meter Methods of data collection M1.5 Investigating the ethanol production cost in pilot plants applying 1.5th G technology, M1.5=C1.5+BTS1.5‒Gi M2 Investigating and referring to the production cost of lingocellulosic ethanol, M2=C2+BTS2 BTS2 Investigating the cost of feedstock collection, transport and storage during the process of lingocellulosic ethanol production from corn and wheat stalks.
So benefits are gained in terms of CO2 emissions reduction [30].
Calculations are made to estimate carbon emission reduction as follows.

Different kernels for structured data, like tree and graph kernels were researched [10,3,13,14,20].
Gartner: A survey of kernels for structured data.
Data Mining and Knowledge Discovery: An International Journal, Volume 8, Issue 1, pp. 53-87, 2004 [16] D.
Motoda: An Apriori-Based Algorithm for Mining Frequent Substructures from Graph Data, Principles of Data Mining and Knowledge Discovery: 4th European Conference, PKDD 2000, pp.87-92 [19] Y.
Wong: On Mutation and Data Flow, PhD Thesis, Purdue University, West Lafayette, Indiana, 1993 [40] X.

Data.
Rain data for 2012 and 2013 were obtained from the Meteorological Department.
Data sources are shown in Table 1.
Data for supply chain and the operational indirect WF calculation.
Base on the Ting Jiang River run off data collected from 1996-2005, together with available global data of Han Jiang basin, the blue water availability and scarcity of the Ting Jiang basin was analyzed.

Results show that the inorganic membrane Fe-based oxygen carrier has higher reduction reactivity and stability than the conventional oxygen carrier.
Their activity was measured with a thermogravimetric analyzer (TGA) during reduction/oxidation cycles and Temperature programmed desorption (TPD).
Every cycle of the reduction of the OCs with CO and oxidation with air were conducted at 850℃.
Data in reduction TGA tests is directly got by a sample weight evolution as a function of time.
Fig. 2a shows the conversion data of both OC samples as a function of time in reduction stage, respectively.

According to the calculation data, the carbon monoxide content in the gasification products increases along with the temperature growth: if 600°C, it is 6-7%; if 800°C, it is 24-26%; if 1000°C, it is 50%; while the carbon dioxide content decreases showing the results of 35-38%, 23-25%, and 10% respectively.
Analysis of the represented data has demonstrated that at the distance of 30 m all hydrogen has reacted, and СО2 concentration varies within the ranges of 10-14%.
Within the reduction zone, there is no blow oxygen but gasification products generated in the reduction zone that react with the coal surface.
At another channel side (its right part) the reduction zone is formed being 14-30 m long.
Analysis of the experimental data and considerations have made it possible to conclude that to increase the output of combustible components within the reduction zone, it is necessary to increase the temperature of coal walls in the channel.

And theory and practical experience about emergency handling of translational landslide disaster are researched and summarized in this paper through verifying the actual effect of such engineering measures with field monitoring data and numerical simulation analysis to offer a reference for the people to handle similar landslide disasters.
Till July 9, the landslide was fundamentally in a stable stage according to monitoring data, and thus the emergency headquarters pronounced that the emergency rescue and relief works terminated and the work was to be transferred to the comprehensive control stage.
Maximum displacement of the inner slope parts sharply dropped to about 5 mm from 7 cm, which is perfectly consistent with the monitoring data.
Load reduction at back edge.
Nonlinear Data Processing and Modeling Technology of Geological Disasters [J].

Individual countries defined a progressive scale for the emission reduction applied to automotive vehicles.
The authors also estimate the overall effect of the Phase 3 standard on oil savings and CO2 emission reductions.
Temperature data is recorded using an MGC data acquisition module connected to type K thermocouples.
The data is acquainted with a 1 Hz frequency.
As the vehicle moves with higher speeds, heat transfer increases, leading to a temperature reduction.

The outline design of the system scheme The end of the central heating thermostat technology is that people have been more concerned,It combines the detection, control, communications in one, is a communications network based on the development of integrated technology,Through various types of peripheral sensors complete the parameters surrounding data collection, transmission.By an input device to complete the indicators and data set.
By completion of various types of data storage device information storage,to facilitate real-time queries.Through intelligent electric valve positioners and valve position sensor control calories access, Achieving personalized heating demand.The system includes data collection, information exchange and terminal handling and other parts.
For data, voice and short message to provide fast, reliable, secure transmission, application development and user - friendly design.The real-time detection to realize the environmental temperature of the application of DS18B20 digital temperature sensor.
The write control commands and read to transfer data to the timing of operation can be different.
We can make calls via AT commands, SMS, phone book, data services, fax and other aspects of control.

The results indicated that (1) there were two processes: Ga(III)→Ga(I)→Ga(0), which corresponded to the double reduction peaks in the cyclic voltammogram; (2) the first reduction process was a diffusion controlled and quasi-reversible process.
Results and Discussion Electrochemical Reduction of Ga (III).
The double reduction peaks in the cyclic voltammogram indicated that there were two processes in the reduction reaction of Ga(III) to Ga(0) in this Lewis acid ionic liquid solution.
According to Chen etal[8], the first reduction peak correspond to reduction process of Ga(III) to Ga(I) at negative electrode, it was [Ga2Cl7]– convert to Ga+ and [GaCl4]- with getting two electrons (Eq.3).
The data of liner slope K, correlation coefficient r, standard deviation S and diffusion coefficient D are listed in Table 1.

In this paper, the methods of extracting minerals weight information are studied based on hyperion hyperspectral remote sensing data, taking the region of Gannan area in Jiangxi as an example.
Data source and preprocessing The data source of this study is EO-1′s Hyperion hyperspectral data and the range of study area is longitude114°45′-114°59′, latitude 25°19′-26°15′.
However, image data doesn't conform to statistical distribution because of the complexity of the actual surface features, and there are mixed pixels, data noise and not interested features and other reason, which cause the detecting algorithm generates false alarm, finally DN value of gray scale image may output negative value or the value of greater than 1.
[4] Boardman J W,Kruse F A,Green R O.Mapping Target Signatures Via Partial Unmixing of AVIRIS data:in Summaries[J] ,Fifth JPL Airborne Earth Science Workshop. 1995,1:23-26
Hyperspectral Image Classification and Dimensionality Reduction:An Orthogonal Subspace Projection Approach[J].