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The kinetic reviewed here was the relationship between glucose production and cellulose mass reduction to optimize the parameters of Monod equation at various moisture levels.
Results and Discussion Data obtained from the research were substrate concentration versus time and glucose concentration versus time.
From the experiments, the data for initial X and ψ were obtained, 0.52 g/L and 0.25 respectively.

The density feature was evaluated based on the approach of self-adhesive carbon reduction dimensions such as mass, diameter, and thickness.
In addition, the reduction of monolith dimensions was carried out based on the measurement of mass, thickness and diameter before and after the single-step pyrolysis.
The reduction of mass, diameter, and thickness of carbon monolith This process affects the dimensions of the monolith such as mass, diameter, thickness and density, as shown in Fig. 1 and Fig. 2.
The density value shown a considerable reduction after the pyrolysis process.
Similar trend data were also found in previous studies [6,25].

The dosage of the components of the raw mixture was carried out in accordance with the data presented in Table 6.
Figure 2 shows the data of the quantitative phase analysis of the sample on slag rubble, roasted at a temperature of 1100 °C.
Data of quantitative phase analysis of a sample for Portland cement clinker roasted at a temperature of 1100 °C.
Data of quantitative phase analysis of a sample for Portland cement clinker roasted at a temperature of 1300 °C.
Data of quantitative phase analysis of the sample on Portland cement clinker, roasted at a temperature of 1350 °C with an isothermal holding.

If CAD data is present in the NIP folder then the Add New Part GUI opens.
The program then accesses the company database SQL tables to allow data to be accessed and inputted.
For example it helps ensure enforcement of data standards; data is easy to interpret when looking at part parameters and adding or retrieving parts is much more efficient than other potential solutions.
Another major benefit of the system over spreadsheets or similar methods is that data security is provided by storing data within the company database.
The framework for this system was based upon analysis of historical part data to ensure the system is efficient and intuitive.

The sea trial data is valuable particularly when these data are analyzed.
Sea trial data is collected to determine if the engines are running within the specified parameters.
In addition, the largest relative error between the two data is less than 5%.
Fig.2 depicts the comparison of the data measured aboard and empirical formula of previous study.
Most of the measured data compare favorably with the empirical relationship.

Correction procedure was developed in the absence of data on the hardening of HSLA steel during cold rolling [4].
Baseline data used in calculations are presented in Table. 2.
Calculated data was compared with actual measured at the rolling mill 2030 and with the results of experimental studies of hardening.
Measured data were taken from an automated system for tracking the parameters of the process of cold rolling mill 2030.
A comparison of calculated data with measured data is showed that the error of model is 5-26% when calculating the energy-force parameters and 7-11% in determining the yield strength in the process of cold rolling.

Measurement data is acquired and subsequently transmitted to PC via Host Link protocol.
Attention has been paid to the assignment of PLC data memory.
By careful data memory assignment, fast and reliable data transfer can be accomplished using standard baud rate, which meets the testing requirement with added practicality and efficiency.
The rotation type can be accomplished by a motor and a gear reduction mechanism.
By applying a background data measurement thread and careful assignment of PLC data memory, an improved program performance in speed has been accomplished.

Finally it will promote energy conservation and emissions reduction, lift up green computing development.
Analysis of State grid cloud demand SG186 project improved software and hardware infrastructure of state grid corporation effectively in the construction of strong smart grid and SG-ERP project,electric power information in the face of the unprecedented new opportunities at the same time inevitably bring new challenges.Whether a large amount of information equipment management,the sea scale data storage and use,how to build green data center and other issues are worthy of further exploration.
Storage virtualization---"By abstracting hiding or isolating the internal function of storage system/subsystem from applications,computing server,network resources,it implements storage and data management independent of the applications and networks ".Storage virtualization technology use abstract the unified management for the underlying storage device,it shields the particularity of the storage device hardware on the server layer,and only keep unified logic features,so as to realize centralized,unified,convenient storage system management.
The overall idea of cloud platform Construction principle In the process of cloud platform construction,we need to follow the following principles: (1)High reliability principles - continuous,available,uninterrupted platform,; (2)Scalability principle - dynamically scale to meet the need of the scale growth of the application and the user (3)Flexible resources allocation principles - flexible resource dynamic allocation according to the business needs; (4)Information security principles - specific data security access,storage,backup mechanism; (5)Principles of openness - support cross-platform unified management,support a variety of virtualization technology unified management;Support the unified management of the heterogeneous storage.
Conclusion With the introduction of advanced information technology such as cloud computing, virtualization and building advanced cloud management platform,it will useful to optimize the data center of information resources construction and maintenance management model,to improve the ability of sharing of information resources,distribution according to needs,unified management and dynamic scheduling.Give full play to the efficiency of the equipment and reduce operating costs and energy consumption,achieving the aim of physical resource virtualization,software resource standardization, resources cheduling automation,resource integration services.Further enhance SGC’s comprehensive information service level and service response capability, steadily toward the goal of the construction of flexible,efficient,intensive data center.

Exceeding OLR would arouse great change of internal environment parameters, such as pH, ALK(aikalinity), ORP(oxidation-reduction potential) in CSTR, and the microbial community structure would change while the metabolism of microorganism was inhibited badly.
On trial, a mass of bacterial flocculate effusion from wastewater is observed, and reduction bacterial population will decrease the organic of hydrogen production.
In this study, small amounts of alcohols actually existed throughout the experiment and their concentrations decreased gradually with HRT increasing (concrete data not shown here).
Due to higher biogas yield and operation as low as 8 h of HRT, the UASB reactor seemed to be a better choice for continuous hydrogen fermentation and wastewater reduction.
The obtained results provided useful data for biological hydrogen production on a large scale.

Decreasing dimension eigenvectors extracting is achieved from these 36 groups AR model data by PCA.
Table 1 shows the 6 groups 6 dimension samples data after PCA dimensions reduction.
These data are 12 groups in each state of rolling bearing: non-fault, outer race fault and outer race fault, we chose 2 to 8 sample data in it as training samples, all of these 36 groups data are chosen as testing samples.
The original 20 dimension data and the 6 dimension data which dimension are reduced by PCA are both sent to SVM classifier, and the classification accuracy is compared.
Compare the classification accuracy results of original 20 dimension data and the reduced 6 dimension data, there is no clear difference between these two kinds data.