Investigation of Image Simulation Method of Morphological Algorithm on Organism Suffocation

2014 ◽  
Vol 644-650 ◽  
pp. 4364-4367
Author(s):  
Lan Zhen Chen ◽  
Ru Dan Lin
Keyword(s):  
Simulation Method ◽  
Clinical Approach ◽  
Structural Elements ◽  
Image Simulation ◽  
Dynamic Changes ◽  
Response Form ◽  
Objective Fact

Reactiveness of respiratory Organs during organism suffocation is uneasy to obtain through clinical approach; this leads to difference between research and objective fact. Introduction of morphological algorithm can maximally restore organism response form through the measurement and simulation of dynamic changes of organism image with certain forms of structural elements.

scholarly journals Protection of Transport Nodes and Resistibility of Pipeline Systems

2019 ◽  
Vol 17 (2) ◽  
pp. 218-229
Author(s):  
I. A. Tararychkin
Keyword(s):  
Emergency Situation ◽  
Simulation Method ◽  
Structural Elements ◽  
Pipeline Transport ◽  
Structural Synthesis ◽  
System Node ◽  
Separate System ◽  
Composition Structure ◽  
Simultaneous Transition ◽  
Selection Of

The analysis has been carried out and the laws of occurrence of emergency threats at pipeline transport facilities associated with the sequential damage of structural elements have been established. When an emergency situation develops, blocking of a separate system node is associated with simultaneous transition to a state of inoperability of all pipelines converging into the zone of that node. Such damage to the point element of the network structure prevents product flows from passing through that point. The ability of a system to withstand a progressive blocking depends on its composition, structure, and is characterized by an indicator of persistence, the value of which is calculated using a simulation method. An example of the use of cluster schemes in solving the problem of structural synthesis and the selection of the best protection option for a pipeline transport system has been considered.

Electro-Optical Frequency Mapping Phase Image Simulation Technique for Failure Analysis

2017 ◽  
Author(s):  
Junpei Nonaka ◽  
Nakaba Matsui ◽  
Seiichi Honbu ◽  
Kazuki Shigeta ◽  
Yukihisa Funatsu
Keyword(s):  
Failure Analysis ◽  
Simulation Method ◽  
Simulation Technique ◽  
Phase Image ◽  
Optical Frequency ◽  
Image Simulation ◽  
Circuit Layout ◽  
Phase Images ◽  
Logic Cells

Abstract We propose a phase image simulation method for Electro-Optical Frequency Mapping (EOFM). The proposed method eases the matching of phase images and circuit layout data, which was previously difficult because phase images are very complex. Physical failure analysis based on this matching result is enabled. Further works are required for understandings of simulated phase images in compound logic cells having many states or high-Z states.

scholarly journals A DYNAMICAL CONVERGENCE CRITERION FOR THE REAL-SPACE MULTI-SLICE IMAGE SIMULATION METHOD

1993 ◽  
Vol 42 (2) ◽  
pp. 277
Author(s):  
ZHU SHI-XUE ◽  
WANG YUAN-MING ◽  
WANG SHAO-QING ◽  
YAN DE-QIN ◽  
JIN ZHI-XIONG
Keyword(s):  
Simulation Method ◽  
Real Space ◽  
Convergence Criterion ◽  
Image Simulation ◽  
The Real ◽  
Slice Image

scholarly journals A Novel Hyperspectral Image Simulation Method Based on Nonnegative Matrix Factorization

2019 ◽  
Vol 11 (20) ◽  
pp. 2416
Author(s):  
Zehua Huang ◽  
Qi Chen ◽  
Qihao Chen ◽  
Xiuguo Liu ◽  
Hao He
Keyword(s):  
Matrix Factorization ◽  
Land Surface ◽  
Nonnegative Matrix Factorization ◽  
Hyperspectral Image ◽  
Nonnegative Matrix ◽  
Simulation Method ◽  
Transformation Matrix ◽  
Image Simulation ◽  
Coverage Area ◽  
Spectral Transformation

Hyperspectral (HS) images can provide abundant and fine spectral information on land surface. However, their applications may be limited by their narrow bandwidth and small coverage area. In this paper, we propose an HS image simulation method based on nonnegative matrix factorization (NMF), which aims at generating HS images using existing multispectral (MS) data. Our main novelty is proposing a spectral transformation matrix and new simulation method. First, we develop a spectral transformation matrix that transforms HS endmembers into MS endmembers. Second, we utilize an iteration scheme to optimize the HS and MS endmembers. The test MS image is then factorized by the MS endmembers to obtain the abundance matrix. The result image is constructed by multiplying the abundance matrix by the HS endmembers. Experiments prove that our method provides high spectral quality by combining prior spectral endmembers. The iteration schemes reduce the simulation error and improve the accuracy of the results. In comparative trials, the spectral angle, RMSE, and correlation coefficient of our method are 5.986, 284.6, and 0.905, respectively. Thus, our method outperforms other simulation methods.

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