scholarly journals BASELINE ERROR ANALYSIS AND EXPERIMENTAL VALIDATION FOR HEIGHT MEASUREMENT OF FORMATION INSAR SATELLITE

2018 ◽  
Vol XLII-3 ◽  
pp. 371-376
Author(s):  
X. Gao ◽  
T. Li ◽  
X. Zhang ◽  
X. Geng
Keyword(s):  
Stochastic Model ◽  
Error Propagation ◽  
Experimental Validation ◽  
Simulation Analysis ◽  
Srtm Dem ◽  
Height Measurement ◽  
Spatial Distribution Characteristics ◽  
Propagation Rule ◽  
The Relationship ◽  
Baseline Error

In this paper, we proposed the stochastic model of InSAR height measurement by considering the interferometric geometry of InSAR height measurement. The model directly described the relationship between baseline error and height measurement error. Then the simulation analysis in combination with TanDEM-X parameters was implemented to quantitatively evaluate the influence of baseline error to height measurement. Furthermore, the whole emulation validation of InSAR stochastic model was performed on the basis of SRTM DEM and TanDEM-X parameters. The spatial distribution characteristics and error propagation rule of InSAR height measurement were fully evaluated.

scholarly journals ERROR ANALYSIS AND VALIDATION FOR INSAR HEIGHT MEASUREMENT INDUCED BY SLANT RANGE

2018 ◽  
Vol XLII-3 ◽  
pp. 2321-2326
Author(s):  
X. Zhang ◽  
T. Li ◽  
W. Fan ◽  
X. Geng
Keyword(s):  
Error Propagation ◽  
Propagation Model ◽  
Large Area ◽  
Height Measurement ◽  
Slant Range ◽  
Simulation Validation ◽  
Spatial Distribution Characteristics ◽  
Propagation Rule ◽  
Range Error ◽  
The Relationship

InSAR technique is an important method for large area DEM extraction. Several factors have significant influence on the accuracy of height measurement. In this research, the effect of slant range measurement for InSAR height measurement was analysis and discussed. Based on the theory of InSAR height measurement, the error propagation model was derived assuming no coupling among different factors, which directly characterise the relationship between slant range error and height measurement error. Then the theoretical-based analysis in combination with TanDEM-X parameters was implemented to quantitatively evaluate the influence of slant range error to height measurement. In addition, the simulation validation of InSAR error model induced by slant range was performed on the basis of SRTM DEM and TanDEM-X parameters. The spatial distribution characteristics and error propagation rule of InSAR height measurement were further discussed and evaluated.

Influence Parameters Analysis of Forming Quality and System Dynamics Simulation of Vertical Steel Bar Benting

2013 ◽  
Vol 483 ◽  
pp. 280-284
Author(s):  
Xi Jian Zheng ◽  
Xin Zhuo Wang ◽  
Jin Meng Zhang ◽  
Yu Fei Zhu
Keyword(s):  
Simulation Analysis ◽  
Reference Value ◽  
Dynamics Simulation ◽  
Forming Quality ◽  
Steel Bar ◽  
New Process ◽  
Cutting Length ◽  
Bending Radius ◽  
The Relationship

The vertical steel bar bending forming is a kind of new process of bending method. The bending speed, bending radius and clamping length H which is the parameters of vertical steel bar bending machine , is directly affect the quality of bending forming parts. This paper calculated the length of reinforcement before being incised and the springback angle of bending steel bar which obtained the reasonable cutting length and bending Angle; Then based on rigid-flexible virtual prototype technology to build the dynamics model of vertical steel bar bending system. Through simulation analysis ,it obtained the relationship between bending speed, bending radius , clamping length H and forming quality of bending steel bar. In this paper, the analysis method have reference value to the design of similar steel bar bending machines.

scholarly journals Analisis Antimullerian Hormon (AMH) di Dalam Serum pada Berbagai Kategori Indeks Masa Tubuh

2019 ◽  
Vol 5 (1) ◽  
pp. 162-168
Author(s):  
Didik Rio Pambudi ◽  
Ashon Sa�adi ◽  
Sudjarwo Sudjarwo
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Normal Weight ◽  
Uterine Bleeding ◽  
Obese Women ◽  
Height Measurement ◽  
Normality Test ◽  
Laboratory Infection ◽  
Special Hospital ◽  
The Relationship

Obesity-related to the result of decreased reproduction. Obese women are more prone to abnormal anovulation and uterine bleeding, endometrial hyperplasia/cancer, infertility, miscarriage, and pregnancy complications, compared to women of normal weight. This study aims to determine the levels of anti-Mullerian hormone (AMH) in the serum at various BMI (body mass index), also to determine the relationship and correlation between obesity and AMH levels in serum. The population in the study were women aged 20 years to 40 years with less BMI, Normal BMI and Obesity BMI. The study subjects were women between the ages of 20 to 40 years with a BMI less than 17-19.9, obesity BMI = 25 and normal BMI 20-25 as controls. Height measurement, weight weighing, and BMI calculation carried out according to the standard and subject to approval. Taking blood samples for the examination of AMH levels carried out by the RSKI laboratory (Infection Special Hospital) Airlangga University. The results of the data processed with SPSS 25 with the Shapiro-Wilk normality test and Mann Whitney statistical analysis for different tests and Spearman analysis for the correlation test. The results of the study found homogeneous samples, there were no significant differences between the AMH levels of the less and obese groups with, p = 0.832 (p> 0.05). AMH levels in BMI were less (0.459 � 0.112 ng / mL) than obesity BMI (0.432 � 0.058 ng / mL), so it was concluded that AMH levels did not correlate with less BMI with obesity BMI, with a correlation value (r) = -0.105 (p = 0.643; p> 0.05). The results of this study concluded that body mass index not related and does not correlate with the levels of anti-Mullerian hormone in the serum.

scholarly journals Algorithm and Simulation of Association Rules of Drug Relationship Based on Network Model

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Hui Teng ◽  
Yukun Ma ◽  
Di Teng
Keyword(s):  
Decision Making ◽  
Network Model ◽  
Association Rules ◽  
Association Rule ◽  
Simulation Analysis ◽  
Pharmaceutical Research ◽  
Accurate Analysis ◽  
Systematic Analysis ◽  
Relationship Of ◽  
The Relationship

Studying drug relationships can provide deeper information for the construction and maintenance of biomedical databases and provide more important references for disease treatment and drug development. The research model has expanded from the previous focus on a certain drug to the systematic analysis of the pharmaceutical network formed between drugs. Network model is suitable for the study of the nonlinear relationship of the pharmaceutical relationship by modeling the data learning. Association rule mining is used to find the potential correlations between the various sets of massive data. Therefore, based on the network model, this research proposed an algorithm for drug interaction under improved association rules, which achieved accurate analysis and decision-making of drug relationship. Meanwhile, this research applied the established association rule algorithm to discuss the relationship between Chinese medicine and mental illness medicine and conducted the algorithm research and simulation analysis of the association relationship. The results showed the association rule algorithm based on the network model constructed was better than other association algorithms. It had reliability and superiority in decision-making in improving the drug-drug relationship. It also promoted the rational use of medicines and played a guiding role in pharmaceutical research. This provides scientific research personnel with research basis and research ideas for disease-related diagnosis.

Simulation analysis and experimental validation of enhanced photovoltaic thermal module by harnessing heat

2022 ◽  
Vol 309 ◽  
pp. 118479
Author(s):  
Xin Tang ◽  
Guiqiang Li ◽  
Xudong Zhao ◽  
Kai Shi ◽  
Li Lao
Keyword(s):  
Experimental Validation ◽  
Simulation Analysis

Quantifying effects of accidents by fuzzy-logic- and simulation-based analysis

2006 ◽  
Vol 33 (3) ◽  
pp. 219-226 ◽  
Author(s):  
Sangyoub Lee ◽  
Daniel W Halpin ◽  
Hoon Chang
Keyword(s):  
Fuzzy Logic ◽  
Simulation Analysis ◽  
Productivity Loss ◽  
Indirect Costs ◽  
Safety Factors ◽  
Logic Simulation ◽  
Training And Supervision ◽  
Simulation Based ◽  
The Relationship ◽  
Productive Time

This study quantifies the effects of accidents by defining one of the indirect costs, the productive time lost owing to accidents in utility trenching operations. The probability of accidents, estimated by fuzzy-logic-based analysis of the performance of the factors (training, supervision, and preplanning) affecting safety in utility trenching operations, was used to quantify, based on simulation analysis, the productivity loss due to process delays resulting from accidents during excavation and pipe installation. It was determined that the productivity loss resulting from accidents during excavation is greater than that resulting from accidents during pipe installation. During excavation, the "very poor" condition of preplanning is most critical to productivity loss due to accidents, whereas during pipe installation, the condition of training and supervision affects the productivity loss more than that of preplanning. This paper provides insights into the relationship between the condition of the safety factors and the possible productivity loss by concomitant probability of accidents to quantify the effects of the accidents.Key words: effect of accidents, probability of accidents, productivity, fuzzy logic, simulation.

Experimental observation and simulation analysis of the relationship between the fishbone and ITB formation on EAST tokamak

2020 ◽  
Vol 60 (12) ◽  
pp. 122001
Author(s):  
Z.X. Liu ◽  
W.L. Ge ◽  
F. Wang ◽  
Y.J. Liu ◽  
Y. Yang ◽  
...  
Keyword(s):  
Experimental Observation ◽  
Simulation Analysis ◽  
The Relationship
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