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This research provides basic data for the implementation of the saline aquifer storage in China.
If CCS can play an important role in CO2 emission reduction, saline aquifer storage will be the main geological storage option.
The overall size of storage potential directly determines CO2 emission reductions that CCS can realize.
Specific values ​​can be obtained from the relevant geological data.
Wang: Journal of Chemical & Engineering Data Vol. 57 (2012), p. 3399

The function of this database includes data input, data maintenance, data query, data mining and data application.
The function of this database includes data input, data maintenance, data query, data mining and data application. 1.
Data collection and reduction The data of unearthed textiles came from references such as Cultural Relics, Archaeology, Journal of Archaeology, and so on.
Database construction The function of this database includes data input, data maintenance, data query, data mining and data application.
The data increase, revision and deletion could be operated by single record, batch processing or inputting bulk data from other documents, such as Excel file.

Industrial Views to Microbe-Metal Interactions in Sub-Arctic Conditions Päivi Kinnunen1,a, Malin Bomberg1,b, Pauliina Rajala2,c and Leena Carpén2,d 1VTT Technical Research Centre of Finland Ltd, Tietotie 2, P.O.Box 1000, FI-02044 VTT, Finland 2VTT Technical Research Centre of Finland Ltd, Kemistintie 3, P.O.Box 1000, FI-02044 VTT, Finland apaivi.kinnunen@vtt.fi, bmalin.bomberg@vtt.fi, cpauliina.rajala@vtt.fi, dleena.carpen@vtt.fi Keywords: Sub-arctic, industrial bioleaching, biological sulfate reduction, biocorrosion, microbe-metal interaction Abstract.
Recent data of industrial applications related to microbe-metal interactions was searched from public resources e.g. local authority decisions in English and in Finnish.
Biological sulfate reduction.
Biological sulfate reduction based treatment systems were first developed for AMD and more recently to the selective recovery of metals in hydrometallurgical processes.
Under the biofilm the conditions such as pH and redox potential, excretion of corrosion inducing metabolites, direct or indirect enzymatic reduction or oxidation of corrosion products may differ remarkably from surrounding environment and thus induce circumstances where the corrosion is locally increased.

A case study on Scrap reduction of Transfer pump in common rail Fuel pump S.Lakshmi Sankar 1, a *, A.Manoj kumar 2,b and K.Joel henry 3,c 1Associate Professor, Department of Mechanical Engineering, Sathyabama University, Chennai 2,3Department of Mechanical Engineering, Sathyabama University, Chennai, India.
Introduction This paper proposes an analysis and scrap cost reduction process in the rejection phenomenon of Transfer pump cassette Tightening assembly in CR pump assembly.
Principles of CR- injection system The Common Rail injection systems has been developed in order to bring down reduction in engine noise, less polluting emissions, lower fuel consumption and thus providing higher performance.
Fig. 2 Rejection Data for Last Six months Selection of Problem A problem should be selected [3] based on ranking on impact on quality, productivity, leading to high rejection cost and delay in delivery including Safety issues.

The silicone rubber foam is a suitable material used for heat insulation and vibration reduction.
Then, the regression analysis of predicted data estimated is introduced by the extreme value distribution.
Fig. 2 Silicone foam pad compression test data regression analysis A total of 16 sets of pad compression test data parameter fitting results are shown in Table 1, and all the parameters of the interval and standard variance analysis results are given.
Observing of the figure, data distribution was significantly skewed distribution, an extreme value distribution for a typical skewed distribution is applied to fit the data.
With random statistical analysis, it founds that the extreme value distribution fit the predictive statistical data well.

The concrete gets less workable (stiff) as the proportion increases, according to the workability data.
The design was based on import data design using Design-Expert 13.0 version.
In Fig. 4 data, the consistency, or the amount of water needed to create a paste of 20% WPPA by weight of PLC is the highest, while the consistency of the control is the lowest.
The delay in the setting time could be attributed to the reduction in surface area of the cement and reduction in the quantity of tricalcium silicate in the WPPA-blended cement paste [36, 39].
Additionally, the reduction of the strength with increased WPPA is due to the high replacement of PLC by weight of WPPA, which causes reduction of hydration reaction [22, 28, 33, 49].

The three-sided sharp Berkovich tips are generally used to determine elastic modulus and hardness from the unloading load-displacement data because plastic deformation is achieved at a very low indentation depth.
Experimental A theoretical method based on molecular orbitals was used to predict the stable phase and design a new Ti alloy with a significant reduction in terms of both time and cost [8].
Samples of the alloy were cold-rolled with 5 to 99% reduction in thickness.
In the alloy with 95% reduction in thickness a high deformation recovery is observed in the load-displacement curve similar to that of an austenitic NiTi alloy (inset figure 5b).
-anoindentation load-displacement curves of the alloy with 5% (a) and with 95% reduction in thickness (b) obtained under cyclic increasing-load control conditions.

The attribute set has many kinds of reduction forms.
The intersection set of these reduction sets is called as the core of reduction.
The concept of the core can be understood from two aspects: firstly the core is the base of all reduction calculation because all reduction sets include it; secondly the core can not be reduced during the reducing calculation.
Input the data of standard pattern to knowledge base, after normalized, according to the property value, the evaluation process is divided into three degrees, namely as small, medium, large, which are represented as 0,1,2 respectively for convenience of calculation.
Here, the knowledge base finished reduction consists of R2,…, R5, R8,…, R10 7 attributes.

The success of this approach depends largely on the phased array design, and the array data processing method.
； Signal from microphone which samplied equally inreceiving time was converted to samplied in launch time becomes samplied not equally,so interpolation is needed in data processing.
Fig.3 View of array installation Data processing Two dimensions of ARJ aircraft landing gear was meshed, and noise intensity of grid points was estim- ated.
Fig.4 is signal waveform time-domain figure.of the 26th and 29th channels received. 0 5 10 15 20 25 30 35 -0.5 -0.4 -0.3 -0.2 -0.1 0 0.1 0.2 0.3 0.4 t/s Waveform chn26 0 5 10 15 20 25 30 35 -1.5 -1 -0.5 0 0.5 1 t/s chn29 Waveform (a) channal 26 (b) channel 29 Fig.4 35s Time domain waveform Signal waveforms that 30 array elements received are as Fig.4 shows, apparently fly-over time of ARJ aircraft is15s around, in Fig.4 (a) ,waveform is stable , in Fig.4 (b), waveform has bigger ups and downs in 16s and 28s around, signals received by 17 channels are relatively stable as shown in Fig.4 (a), other channels are existing fluctuation as shown in Fig.4 (b).Data processing mainly concerns about signal strong part so that only the first 16s nearby fluctuations could have influence, there are same situation in channels 7,8,9,13,17 and 29.
QTD 2 (Quiet Technology Demonstrator 2) main landing gear noise reduction fairing design and analysis.13th AIAA/CEAS Aeroacoustics Conference, 2007

Given the actual production process is difficult to get an exception batch mode data, in accordance with the usual practice of the field, we took Monte Carlo simulation method to generate data for the model to verify the correctness and validity.
Processing status, changes in the production, can be distinguished from time domain characteristic parameter index of quality data [6-7].
The uniform mutation operator is selected to complete this procedure. 4 Simulation results 4.1 Generation of training data set Data formula description is generated according to the control chart pattern.
Data of 150 sets of each model is used as the training set, the remaining 50 groups as a test set.
The data must first be normalized in each time window, and the normalized sample numbers are put in the model for pattern recognition.