scholarly journals Experimental verification and validation of the SICN-oriented process mining algorithm and system

2022 ◽  
Author(s):  
Kyoung-Sook Kim ◽  
Dinh-Lam Pham ◽  
Young-In Park ◽  
Kwanghoon Pio Kim
Keyword(s):  
Experimental Verification ◽  
Process Mining ◽  
Verification And Validation ◽  
Mining Algorithm

Process mining algorithm to discover non-certain choice and parallel relation

2009 ◽  
Vol 28 (11) ◽  
pp. 2922-2925 ◽  
Author(s):  
Hong-mei HUANG ◽  
Yun ZHANG
Keyword(s):  
Process Mining ◽  
Mining Algorithm

scholarly journals Experimental verification and validation of a computer model for light–tissue interaction

2011 ◽  
Vol 27 (1) ◽  
pp. 79-86 ◽  
Author(s):  
Aletta Elizabeth Karsten ◽  
Ann Singh ◽  
Max W. Braun
Keyword(s):  
Computer Model ◽  
Experimental Verification ◽  
Verification And Validation ◽  
Tissue Interaction

Experimental verification and validation of nonlocal peridynamic approach for simulating guided Lamb wave propagation and damage interaction

2019 ◽  
Vol 18 (5-6) ◽  
pp. 1789-1802 ◽  
Author(s):  
Subir Patra ◽  
Hossain Ahmed ◽  
Mohammadsadegh Saadatzi ◽  
Sourav Banerjee
Keyword(s):  
Wave Propagation ◽  
Structural Health Monitoring ◽  
Nondestructive Evaluation ◽  
Health Monitoring ◽  
Experimental Verification ◽  
Lamb Wave ◽  
Verification And Validation ◽  
Experimental Results ◽  
Lamb Wave Propagation ◽  
Wave Modes

In this article, experimental verification and validation of a peridynamics-based simulation technique, called peri-elastodynamics, are presented while simulating the guided Lamb wave propagation and wave–damage interaction for ultrasonic nondestructive evaluation and structural health monitoring applications. Peri-elastodynamics is a recently developed elastodynamic computation tool where material particles are assumed to interact with the neighboring particles nonlocally, distributed within an influence zone. First, in this article, peri-elastodynamics was used to simulate the Lamb wave modes and their interactions with the damages in a three-dimensional plate-like structure, while the accuracy and the efficacy of the method were verified using the finite element simulation method (FEM). Next, the peri-elastodynamics results were validated with the experimental results, which showed that the newly developed method is more accurate and computationally cheaper than the FEM to be used for computational nondestructive evaluation and structural health monitoring. Specifically, in this work, peri-elastodynamics was used to accurately simulate the in-plane and out-of-plane symmetric and anti-symmetric guided Lamb wave modes in a pristine plate and was extended to investigate the wave–damage interaction with damage (e.g. a crack) in the plate. Experiments were designed keeping all the simulation parameters consistent. The accuracy of the proposed technique is confirmed by performing error analysis on symmetric and anti-symmetric Lamb wave modes compared to the experimental results for pristine and damaged plates.

Extending the α-Algorithm to Mine Repetitive Task Based on Complex Structure

2014 ◽  
Vol 989-994 ◽  
pp. 1918-1923
Author(s):  
Hong Li ◽  
Yu Wei ◽  
Xiao Hu Ye ◽  
Shao Wen Yao ◽  
Jun Yang
Keyword(s):  
Free Choice ◽  
Business Processes ◽  
Flow Model ◽  
Process Mining ◽  
Complex Structure ◽  
Improved Method ◽  
Mining Algorithm ◽  
New Business ◽  
Process System ◽  
Circulation Structure

Process mining is helpful for deploying new business processes as well as auditing, analyzing and improving the already enacted ones. The business process system log often has a large number of the namesake task and repetitive task. The existing alpha algorithm of the mining algorithm cannot distinguish them very well. It leads to the results that the process mining often produce inaccurate flow model. In order to improve the accuracy of the process mining, the paper puts forward an improved method. The new method not only can dig the complex structure, such as circulation structure, free choice structure and so on, it still can dig the eponymous task and repeat task in the log.

scholarly journals An Anti-Noise Process Mining Algorithm Based on Minimum Spanning Tree Clustering

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 48756-48764 ◽  
Author(s):  
Weimin Li ◽  
Heng Zhu ◽  
Wei Liu ◽  
Dehua Chen ◽  
Jiulei Jiang ◽  
...  
Keyword(s):  
Spanning Tree ◽  
Minimum Spanning Tree ◽  
Process Mining ◽  
Noise Process ◽  
Mining Algorithm

Process mining algorithm based on synchronized-manager

2009 ◽  
Vol 28 (12) ◽  
pp. 3235-3239 ◽  
Author(s):  
Hong-mei HUANG ◽  
Yun ZHANG
Keyword(s):  
Process Mining ◽  
Mining Algorithm

A process mining algorithm to mixed multiple-concurrency short-loop structures

2021 ◽  
Vol 542 ◽  
pp. 453-475
Author(s):  
HongWei Sun ◽  
Wei Liu ◽  
Liang Qi ◽  
YuYue Du ◽  
Xiaojun Ren ◽  
...  
Keyword(s):  
Process Mining ◽  
Mining Algorithm ◽  
Short Loop
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