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Online since: May 2022
Authors: Danilo Crippa, Francesco La Via, Viviana Scuderi, Cristiano Calabretta, Marco Mauceri, Ruggero Anzalone, Simona Boninelli, Annalisa Cannizzaro
Impact of N Doping on 3C-SiC Defects Cristiano Calabretta1,a*, Viviana Scuderi1,b, Annalisa Cannizzaro1,c, Ruggero Anzalone2,d, Marco Mauceri3,e, Danilo Crippa4,f, Simona Boninelli1,g, and Francesco La Via1,h 1CNR-IMM, VIII Strada, 5, 95121 Catania, Italy 2STMicroelectronics, Stradale Primosole 50, 95121 Catania, Italy 3LPE, Strada XVI, Catania, Italy 4LPE, via Falzarego 8 Baranzate (MI), Italy a*cristiano.calabretta@imm.cnr.it, bviviana.scuderi@imm.cnr.it, cannalisa.cannizzaro@imm.cnr.it, druggero.anzalone@st.com, emarco.mauceri@lpe-epi.com, fdanilo.crippa@lpe-epi.com, gsimona.boninelli@imm.cnr.it, hfrancesco.lavia@imm.cnr.it Keywords: 3C-SiC; Stacking Faults; Dislocations; Molten KOH; Defect reduction; nitrogen doping; SEM.
These characteristics, along with 2.5 eV bandgap, make 3C-SiC suitable for power electronic applications, due to several benefits in MOS devices such as a notable Ron reduction for medium voltage applications working under 1200 V [1].
Figures 2a and b show, in particular, the 95% confidence curves of the exponential fits extracted from the experimental densities data with respect to the grown 3C-SiC layer thickness, from interface to 40 µm thickness.
The 95% confidence curves of the decaying exponential fits plotted by the density data of SFs a) and etch pits b) as a function of the growth 3C-SiC thickness.
Online since: June 2013
Authors: Wei Liu, Hong Zhao Liu
Three mean of observations The three mean describes the data concentration characteristics.
It’s a robust statistical characteristic if outlier exists in the data
They used to describe data dispersibility
-Range and interquartile range The range is the difference between the maxima and minima of the sample data value.
There are 10 data of leakage data, show as figure 4, it cannot divided the normal signal or leakage signal by counting the time window bandwidth and collecting the jumping times within each time window.
Online since: March 2011
Authors: Jian Chang Liu, Huai Tao Shi, Long Li, Yu Zhang
It is feasible to effectively assess process operations and simply detect faults from observing the data.
It is difficult to describe the real change among data.
Fault detection based on DPCA PCA is a linear dimensionality reduction technique, optimal in terms of capturing the variability of the data.
This method of applying PCA to the augmented data matrix is referred to as dynamic PCA (DPCA).
[2] B.Moore, Principal component analysis in linear systems: Controllability, observability, and model reduction.
Online since: February 2025
Authors: Marie Fe Y. Lacsado, Doris B. Montecastro
Data processing for analysis of rainfall data from Weatherlink station in Bongao, Tawi-Tawi, and roof area digitization conducted for Sitangkai Poblacion.
Data Sources and References.
Data Collection.
Boundary Data Acquisition.
Result and Discussion Climatological Data Analysis.
Online since: July 2011
Authors: Ke Mei Sun, Chun He Yu
Peripheral SDRAM are expanded through peripheral bus to save the large amounts of temporary data in data processing to reduce the time for image processing.
On account of large amount, peripheral SDRAM are expanded through peripheral bus to save the large amounts of temporary data in data processing to reduce the time for image processing.
The measurement data are transmitted to main-controlling PC for saving by the circuit of communication interface.
CPLD controlling chips adopts XC95144 which decoding BT.656 digital code stream and storing the data in sequence.
Design of Peripheral RAM The main function of peripheral RAM of DSP is to store image data.
Online since: May 2007
Authors: Xin Ming Zhang, Yun Lai Deng, Yong Zhang
Local orientation distributions of two neighbouring grains initially orientated near (01l)[100] and (210)[001], in a pure Al poly-crystal aggregate rolled by a reduction of 65% at room temperature have been investigated using electron backscatter diffraction (EBSD) technique.
In this investigation, two coarse column grains embraced in a high purity Al poly-crystalline sample were traced before and after rolling, and a TexSEM Laboratories (TSL) EBSD unit controlled by the OIM acquisition software determined micro-orientation data.
The deformation was carried out to a total engineering thickness reduction (r) of 65% by 4 passes at room temperature and rolling oil was used to ensure homogeneous macroscopic deformation.
(a) inverse pole figure map for ND//[001], (b) ϕ2=constant sections with f(g)max from ODFs for the zones of A-IP, A-BP, B-IP and B-BP, respectively, calculated using the orientation data with Gauss half-scatter width of 5°.
In order to grasp characters of micro-orientation distributions, orientation distribution functions (ODFs) were calculated using the orientation data of various zones in Fig.2(a), respectively.
Online since: April 2009
Authors: Tomasz Goryczka, Henryk Morawiec, Józef Lelątko, Krystian Prusik, Andrzej Drdzeń
The final reduction of the samples thickness was: 28%, 36%, 57% and 69%.
The final reduction of the samples thickness was 28%, 36%, 57% and 69%.
The initial orientation of the as cast specimen can be seen in the pole figures based on the EBSD scattered data in Fig. 3.
Pole figures of the initial orientation of alloy 1, a) pole figures with scattered data, b) inverse pole figure, c) scheme of {001} poles rotated around [110] axis a) b) 010 100 010 001 110 110 110 110 211 Computer treatment of the scattered data allows to contouring the pole figure which selects the preferred orientation and reveals their distribution.
Online since: November 2012
Authors: Lin Xiao, Tian Kui Zhang
Since data traffic model is non-stationary and chaos with complex data structure, SVM will provide good traffic prediction for actual network data transmission.
Secondly, the prediction module forecasts the data packets and DRX receiver starts to receive all the data.
Any data from data source will make the program enter receiving module.
The principles are same and any detection of data during on duration time will change the program to receive data.
Thirdly, before receiving current data, it will check the sequence of current data.
Online since: August 2004
Authors: Chul Hee Jo, Jae Hwan Kim
An experimental setup based on wave transmission test is made and the storage and loss moduli of the fluids are found from the measured speed of sound and attenuation data.
Note that these values are much higher in the order of three than the low frequency data found in the literature [3], while the current results exhibit the same trend with those of the reference 4.
These values are also much higher than the low frequency data found in the reference 3, while the current results are comparable to those of the reference 4.
Also the wave reduction of 5% was found from the difference of maximum received signals.
Kim: ER Inserts for Shock Wave Reduction in Warship Structures (Int.
Online since: March 2015
Authors: Marco Carbone, Giuseppina Garofalo, Gennaro Nigro, Patrizia Piro
This study aims to evaluate the reduction of sub-surface runoff provided by two GRs in Mediterranean climate conditions.
The study is based on the data retrieved from two of the four green roof compartments.
The soil material is extremely draining and clay-free, with a good resistance to the compaction and volume reduction.
Data Collection.
As expected both roof treatments reduce subsurface runoff compared to the conventional roof treatment, as the data reside below the bisector line.
Showing 8511 to 8520 of 40694 items