Papers by Suttirak Duangburong
Applied Sciences
Classification of normal sinus rhythm (NSR), paroxysmal atrial fibrillation (PAF), and persistent... more Classification of normal sinus rhythm (NSR), paroxysmal atrial fibrillation (PAF), and persistent atrial fibrillation (AF) is crucial in order to diagnose and effectively plan treatment for patients. Current classification models were primarily developed by electrocardiogram (ECG) signal databases, which may be unsuitable for local patients. Therefore, this research collected ECG signals from 60 local Thai patients (age 52.53 ± 23.92) to create a classification model. The coefficient of variance (CV), the median absolute deviation (MAD), and the root mean square of the successive differences (RMSSD) are ordinary feature variables of RR irregularities used by existing models. The square of average variation (SAV) is a newly proposed feature that extracts from the irregularity of RR intervals. All variables were found to be statistically different using ANOVA tests and Tukey’s method with a p-value less than 0.05. The methods of artificial neural network (ANN) and adaptive neuro-fuzzy...
This study presented the image scanning U-tube viscometer technique to measure the whole blood vi... more This study presented the image scanning U-tube viscometer technique to measure the whole blood viscosity. Two different constitutive models, power law and Casson, were selected to calculate blood viscosity. Results were compared with rotating viscometer. They had a good agreement at higher shear rates. Three constitutive models power law, Casson and Carreau Yasuda models were applied to blood viscosity data and used to simulate transient blood height in the U-tube. Comparison of the U-tube simulation and the actual experiment showed that Carreau Yasuda model is the most accurate model for whole blood viscosity measurement.
In this research, lean techniques were utilized in a wood plastic composite manufacturer to elimi... more In this research, lean techniques were utilized in a wood plastic composite manufacturer to eliminate waste of the production system. Measurements showed the production capacity of the factory was limited and had a lot of waste in many processes, so customer demand could not be met. Improvement of the real production line would be complex and may cause interruption in production. Therefore, computer simulation was used to show the system performances before and after improvement. Lean techniques such as Eliminate, Combine, Rearrange and Simplify (ECRS) , quick setup, Computer Aided Engineering (CAE) , and line balancing, were employed to eliminate waste and shorten cycle time. After improving by lean techniques, the result showed very high productivity, utilization, efficiency and profit. However, the capacity still did not reach the demand target. So, Theory of Constraint (TOC) with bottleneck consideration and optimization were utilized to identify the suitable resources of the system to achieve high performances and customer satisfaction.
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Papers by Suttirak Duangburong