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Each set of data is referred to EV, which is the same for both polytypes.
Despite the general featureless look of the hilo data, a bulge appears in the 6H-AO DIT at 2.5eV+EV, i.e. at EC(6H)-0.5eV.
Similar data for 4H-SiC MOS capacitors are reported in Ref. 4.
Temperature dependent C-V measurements The temperature-dependent C-V data were analyzed using the Gray-Brown method as previously implemented for the 4H-SiC samples [4].
This compression of the C-V curves is related to a bump occurring in both data sets below their respective VFB.

We can get residual wall thickness information through data inversion [11].
According to the empirical data, the factors affecting corrosion and maintenance record information, analyze and predict the distribution of corrosion to determine the distance between measuring points.
Gupta: Combined straightforward inversion of resistivity and induced polarization (time-domain) sounding data.
Sørensen: A resolution study of buried valleys using laterally constrained inversion of TEM data.
Plotnikov: The geoelectric structure at the site of “Crystal” underground nuclear explosion Western Yakutia from TEM data.

Often involve the application of this method are more variable, and the correlation between variables, the correlation of several variables classified as a class, are collectively referred to as a factor, Factor Analysis sucked these variables into a few factors to represent (variables can be observed, unobserved factor), played the role of dimensionality reduction in multivariate statistical analysis, greatly reducing study difficulty.
Factor loading is bigger, more important explanatory variables in the factor, thus determine relates to the common factor variables, further for the common factor named and explain its significance.Step: ( 1 ) the original data of Hebei province regional characteristic industry base is standardized, eliminate the influence of magnitude and unit, i.e. the dimensionless ( 2 ) to calculate the correlation coefficient matrix R
In this paper, the data are taken from the small and medium-sized enterprises in Hebei province bureau " Hebei province private ( non-governmental ) economic statistical yearbook and operation analysis of data ", the limited factor of statistical data analysis, 17 of the 48 regions of Hebei province industry base characteristics using SPSS.
According to the dimension of classification, making the comprehensive evaluation of the results ( because of data limitations, the use of two dimensions: spatial dimension S and industrial I ).The administrative levels are the cluster, are equivalent to the fixed one dimension.

Analysis of studies of the relationship between the particle sizes of various types of powder materials and the order of magnitude of the autohesive force has shown that the available experimental data are contradictory.
The main conclusion of this work is that the calculated and experimental data may differ by a decimal order.
The analysis of publications on the topic of autohesive forces in bulk powder materials showed, on the one hand, the importance and relevance of this issue, and on the other hand, the lack of systematic and statistically reliable data on the regularities of the influence of autohesive forces on the structure and rheology of bulk materials.
The reduction of the surface tension can be achieved by introducing surfactants into the composition of the mixing water, which are, in particular, plasticizers and superplasticizers [17].
From the obtained data on the influence of the surface tension of the liquid and the wetting angle on the ultimate shear stress of dispersed systems, it follows that their shear strength has a capillary nature.

Financial Factors Analysis Enterprise's financial situation has been reflected in a certain period in fund raising and application, a comprehensive reflection of business activity are important measuring elements on enterprise credit risk evaluation.Most of the elements can be obtained from the balance sheet and profit statement data such as tables, and simple quantitative analysis, that of results is scientific and accurate.This article to the business finance factor's analysis, in the induction foundation, obtained finally has most been able to reflect the business finance condition the factor target, including the capacity of claim paying, capacity of making profits and capacity of operating.
High level of regional economic development, to some extent, to ensure business efficiency , investment credit risk reduction .
This article selects 20 strategic emergent industry enterprise of the above data,the data comes from the company's 2010 Annual Report and the Statistical Yearbook.
Using SPSS16.0 in accordance with the basic steps of the factor analysis to analyze data on 18 indicators of the 20 companies, the basic process and the results as follows.
First, one can determine the six factors according to the cumulative contribution rate of 80% or eigenvalues,six factors covers more than 80% of the original index data this is shown in Table 1.

It does not require any prior knowledge; we can summarize the rules and acquire the inherent laws automatically from the existing data.
The Logistics Supplier Selection Model Based On Bp Neural Network The establishment of evaluation index system According to the availability of indicator data of listed logistics company, the performance evaluation indicators are designed as follows: total assets, number of employees, main business cost, net fixed assets, net profit, the main business income, total asset turnover ratio, earnings per share.
The standardization of indicator data There are both quantitative indicators and qualitative indicators in the indicator system which reflects performance of the supply chain.
Empirical Study Data acquisition and processing According to the《guidelines on the classification of listed companies 》 established by China Securities Regulatory Commission in 2001.
[4] Aminian F, and Suarez E D, “Forecasting economic data with neural networks,” Computational Economics, No.28, pp.71-88,2006. [5] SHI Cheng-dong, and CHEN Ju-hong, “The performance prediction of supply chain collaborative management based on heuristic attribute reduction and neural network,” Science and Technology Management Research, No.3, pp.283-285, 2009

From the measured data can be analyzed, the total displacement sprint stage an oar in still and catch stage and recovery stage time is inversely proportional to the ratio of increase, in the catch and return time paddle water phase ratio was accompanied by a reduced total displacement of a propeller; a total displacement and dynamic stage time is proportional to the ratio of example, increase power stage time ratio increases with the growth of the total displacement of a propeller.
From the measured data can be analyzed, sprint stage or a total displacement (i.e. stroke distance) is inversely correlated with pitch frequency; the dynamic displacement and pitch frequency is proportional to the inserted; catch and recovery phase displacement inverse relationship with the stroke frequency.
Sprint stage, data show that domestic and foreign team entry angle and inserted the catch ratio inversely related; the entry angle is proportional to the power stage ratio.
Data show that increasing water entry angle increases with the inserted the catch ratio decreases obviously, dynamic phase ratio; inverse relationship between outlet angle and recovery phase proportion, increase water angle along with the decrease of recovery phase ratio.
Sprint stage: from the measured data can be seen, in the catch time and the proportion of the ship's speed is inversely proportional to the power stage; time scale with the ship's speed is directly proportional to the average speed to catch the water; in time and the proportion of the ship to low proportional relationship; average velocity ratio and recovery stage of ship inverse relation.

Beyond point c there is a marked reduction of load-carrying capacity until rupture, c-d.
We use the on-site data to build the numerical model in the 9th tunnel in the Water Supply Project of Transferring Water from Tao River in Gansu. 17in constant cross section disc cutter is used in the TBM tunnelling.
Fig.10 The installation of eddy current sensor Fig.11 Data acquisition flow Experimental results.
In accordance with Fig.8, the rotating speed of the disc cutter changes during rock cutting process, which assure the rationality of the data acquisition method and the simulation results.
And the experimental data are in accordance with the simulation results.

EM231 module shall be used to acquire data related to temperatures. 4-20mA standard current signals delivered by the flow sensor may be converted to engineering data through PLC programs and be displayed on the monitoring interface of the touch screen.
The data shall be compared with exhaust gas temperature, furnace temperature, exhaust-gas flow rate alarm values pre-set in the PLC in real time.
Since the cooling-air and exhaust gases are transferred through the same pipe, increases in volume of cooling-air may lead to reduction in volume of exhaust gases, and vice versa.
Remote control system With consideration to the distance between incinerator operation area and the central control room, remote-control solutions can be adopted for uploading and remote control of data related to the incinerator system.
Cluster communication programs conforming to Modbus[2] protocol can be generated in S7-200PLC for real-time transmission of incinerator system data to the upper computer through RS485 bus line.

Several methods have been used to calculate the MFB which are mainly from the cylinder pressure-time history data.
Heywood, Estimating Heat-Released and Mass of Mixture Burned from Spark-Ignition Engine Pressure Data, Combustion Science and Technology, 54(1987)133-143
Heywood, Heat Release Analysis of Engine Pressure Data, SAE Technical Paper 841359 (1984)
Hamama, Two-Zone Heat Release Analysis of Combustion Data and Calibration of Heat Transfer Correlation is an I.C.
Emtage, The Calculation of Heat Release from Engine Cylinder Pressure Data, SAE Technical Paper 981052 (1998)