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N concentration (*1019cm-3 ) Depth (nm) simulated N concentration Profiling time (s) Intensity (arb. units) CNCs2 profile Figure 1: Simulated N concentration in the ion implanted reference sample (left and lower axis) and corresponding experimental depth profile of the CNCs2 (291.811 amu) peak (right and upper axis, sputter time given). 291.5 291.6 291.7 291.8 291.9 292.0 292.1 0 5 10 15 Intensity (arb. units) Mass (amu) measured intensity CNCs2 position Figure 2: Mass spectrum in the range of the CNCs2 peak for an epitaxial SiC layer with low N doping (raw data).
However, it can be clearly seen that the accuracy at such low concentrations is limited and requires further fine-tuning of the data acquisition parameters or post-measurement fitting procedures.
Nevertheless, the critical step is a reduction of the Ga scan area to prevent re-adsorption of hydrogen from the residual gas.
Using these conditions cP was measured for bulk grown SiC (by the modified Lely method) with intentional P doping on a dual-seed sample with simultaneous growth on the Si- and the Figure 3: Experimental depth profile of the P reference sample for masses P, CP and C2P (sputter time given) 0 500 1000 1500 2000 2500 3000 101 102 103 104 Intensity (arb. units) Profiling time (s) 30.9754 (P + SiH) 42.9730(CP) 54.9736(PC2) Figure 4: Mass spectra in the range of the P peak with (b,d,f) and without (a,c,e) suppression of residual H readsorption by scan range reduction.
A further reduction of these values might be achievable by applying a curve fitting procedure or a peak line shape analysis.

The occurrence of DRX can result in not only the refinement of grain size but also the reduction in flow stress.
EBSD maps were acquired using step sizes of 0.5 or 1.0 μm and the HKL Channel 5 software was used to perform data acquisition and post-processing.
Afterwards, the work-hardening rate (θ=dσ/dε) was calculated based on the fitting curve, which agreed well with the experimental σ-ɛ data (Fig. 2).
Beyond that, no obvious grain size reduction was realized up to a strain of 1.0.
The initial increase in the aspect ratio corresponds to the reduction of pre-existing equiaxed grains perpendicular to the compression direction by deformation.

You can see from the data in the table, insulation resistance, compressive strength and bond strength along with dry bulk density and increased with the increasing, fold compression ratio will decrease with the increase of dry bulk density.
Polystyrene particle aging, poor weather, with the useful life of growth, flexibility and strength reduction, volume stability will be affected, Cause a reduction in strength of the mortar, cracking resistance of difference. 2) Thermal performance Floats the bead heat preservation mortar thermal conductivity to be low, the heat insulation heat preservation performance is good, this is decides by its special structure.
Table 3 Different dry meter drift-bead insulation mortar of thermal performance Dry unit weight /(kg/m3) 300 500 700 Thermal conductivity /(W/(m.K) 0.092 0.116 0.138 From the above data shows that thermal conductivity of thermal insulation mortar dry density and increased with the increase of, its thermal insulation is reduced accordingly, that is, less dry bulk density thermal insulation the better thermal insulation mortar specimen.
In order to guarantee that the mortar with bonding strength and sagging, also joined the methyl cellulose MC to adjust the consistency of mortar, reinforced bond strength, played water-retention effect, keep the water absorbed by the walls too quickly, effect of cement hydration and cause a reduction in strength. 4) Flame retardant Preservation mortar floating beads used materials are all inorganic compounds, flame and fire good, high temperature shrinkage deformation of volume when not, nor produce toxic gases and polystyrene particles under high temperature shrinkage deformation of volume not only serious and also release a lot on harmful gases.

A GIS database was chosen to house the offshore resources data because the datasets have a significant spatial component.
A visualization of the geospatial data is created using the Google Maps platform.
In the focus area of this study there is a lack of such data sets.
The system provides data requests for the whole region and for particular territory points.
The request results include modeled values and statistically collected and analysed data.

Because of the powerful data processing ability of FPGA, the fast interpolation algorithm is used for Bayer format data which comes from CMOS sensor MT9M011 to convert to RGB image format.
Lay the foundation for the high speed transmission and the following data processing of digital video, FPGA module implements the Bayer conversion to YCbCr.
Image Sensor FPGA YCbCr processing module Fig. 1 Hardware system Data format conversion Bayer format.
Because the real-time video data acquisition system needs fast processing, so selecting a fast interpolation method to meet image quality is very important.
It is foundation of the high-speed data transmission and digital video processing system.

The mechanical data for each zone were obtained from true stress-strain curves determined in conventional tensile tests using heat treated tensile specimens (HAZ, fusion zone) and untreated tensile specimens (base metal).
The reason for this behavior has to be found in: Notch root radius - Reduction in sample stiffness - Lateral oscillation - Changing in local stress.
The calculation of ΔF/ΔL as a measure of the sample stiffness confirms the reduction in rotational stiffness due to the gap.
It can be seen that internal imperfections have no significant influence on the fatigue life, i.e. stiffness reduction of 30 %.
§ The reduction in fatigue strength can be attributed a decreasing sample stiffness, which lead to a higher rotation Ө between the sheets.

This investigation considers two locations of damage (¼ and ½ span) and four damage magnitudes (0, 25, 50 and 75 % stiffness reduction).
This correlation parameter between predictions of systems will prove to be a good indicator for detection of local bridge stiffness reduction.
For each damage location a single moving load is modelled traversing a beam with a local stiffness reduction of 50%.
For the damaged scenarios, a severe 90% stiffness reduction was used to clearly visualize the differences between both curves.
[6] International Organization for Standardization ISO, Mechanical vibration – Road surface profiles - Reporting of measure data, ISO8608 (BS7853:1996)

An Evaluation Research on Tianjin Marine Economy Sustainable Development Via PCA and DEA Qingmin Yuan1, a, Jing Qiu2, b 1School of Management，Tianjin University of Technology，Tianjin 300384 2 School of Management，Tianjin University of Technology，Tianjin 300384 ayuanqingmin@163.com, bxiaojing_896700@126.com Keywords: sustainable development, marine economy, principal component analysis, data envelopment analysis Abstract: According to the method of principal component analysis (PCA) with the data of Tianjin marine economy from 2000 to 2010, this paper established six comprehensive indices of input-output about complex sustainable development system.
On this basis, the study used the data envelopment analysis (DEA model) and the adjustment of the variables in the model, to evaluate the overall level of Tianjin marine economy sustainable development.
Data and Methods 2.1 The selection of evaluation method There are a lot of comprehensive evaluation on region sustainable development.
Dimension reduction ability of PCA can supply the gap which cannot fully reflect the evaluation object.
 index vector Y1 Marine GDP/y1 Per capita marine GDP/y2 Total import and export of foreign trade /y3 Proportion of marine tertiary industry GDP to marine GDP/y4 Marine productivity/y5 Social  index vector Y2 Cargo handled /y6 Number of inbound tourist arrivals/y7 Level of Urbanization/y8 Engel coefficient/y9 Total population/10 Natural growth rate of population /y11 Number of students accounted for the total population proportion/y12 Resources and environment index vector Y3 Up-to the standard rate of industrial waste water/y13 Rate of industrial solid wastes mutiutilized/y14 Number of pollution control projects/y15 Marine ecological carrying capacity/y16 Unit output value of the coastline/y17 Total area of the marine natural protection/y18 3.2 Principal component analysis of input-output index  According to the index construction, this paper referenced to" statistical yearbook of China", "China Marine Statistical Yearbook", "Tianjin Statistical Yearbook" , collected relevant data

Out of 81 datasets, 49 sets of data were used for training, 16 sets of data for validation and 16 sets of data for testing.
The input-output dataset consisting of 81 patterns in which training dataset consist of 60% of the data, validation data set containing 20% of the data and test dataset which consist 20% the data.
Then the data are trained, validated and tested.
Thus the optimal model has been generated for the given data of wear rate.
Thus the given model fits the experimental data to an extent of 92%.

It allows to analyze of motor parameters using both on-board diagnostic system, and data network CAN BUS under different operating conditions of the system.
Parameters comparison for: a) injection system, b) ignition system The values ​​of these parameters during testing are continuously monitored and measured by sensors and then sent in the form of signal to the ECU engine, where they are read by on-board diagnostic OBDII device or on-board data network CAN BUS.
The proces acceleration in gear 5, the input parameters for the simulation According to the accepted assumption process of the acceleration was analyzed with different degrees of reduction of the final value of the accelerator pedal deflection.
Change of the accelerator pedal deflection limits to the value of 50% results in a reduction of the fuel injection time.