The clustering phenomenon of defects usually occurs in semiconductor manufacturing. However, previous studies did not pay much attention to the influence of clustering phenomenon for estimating fraction nonconforming of a wafer. Thus, this paper presents a systematic estimation model with considering relevant variables about clustering defects for fraction nonconforming of a wafer. The method c...

Computer-aided process planning (CAPP) is an important and complex in the computer integrated manufacturing system(CIMS). The expression methods of process knowledge based on manufacturing feature is established based on the analysis of characteristic of process knowledge. According to the constraints mong process knowledge, decision space of process planning based on process constraints is con...

This study proposes a method, designated as the GRP-index method, for the classification of continuous value datasets in which the instances do not provide any class information and may be imprecise and uncertain. The proposed method discretizes the values of the individual attributes within the dataset and achieves both the optimal number of clusters and the optimal classification accuracy. Th...

Adaptive neuro-fuzzy inference system (ANFIS) and genetic algorithm–artificial neural network (GA-ANN) were investigated for predicting methyl salicylate (MeSA) effects on chilling injuries and quality changes of pomegranate fruits during storage. Fruits were treated with MeSA at three concentrations(0, 0.01 and 0.1 mM) and stored under chilling temperature for 84 days. ANFIS and GA-ANN models ...

We analyze a photonic integrated circuit (PIC) platform comprised of a crystalline AlxGa1-xN optical guiding layer on an AlN substrate for the ultraviolet to visible (UV-vis) wavelength range. An Al composition of x~0.65 provides a refractive index difference of ~0.1 between AlxGa1-xN and AlN, and a small lattice mismatch (< 1%) that minimizes crystal...

This study investigated the use of Artificial Neural Network (ANN) and Genetic Algorithm (GA) for prediction of Thailand's SET50 index trend. ANN is a widely accepted machine learning method that uses past data to predict future trend, while GA is an algorithm that can find better subsets of input variables for importing into ANN, hence enabling more accurate prediction by its efficient feature...

Genetic Algorithm-based Quadratic Decision Tree (GA-based QDT) has been applied successfully in various classification problems with non-linear class boundaries. However, the execution time of GA-based QDT is quite long. In this paper, a new version of GA-based QDT, called Genetic Algorithm-based Quadratic Decision Tree with k-D Tree (GA-based QDT with k-D Tree), is proposed. In the proposed al...

Soluble solid content (SSC) is a major quality index of kiwifruits. Visible near-infrared (Vis/NIR) hyperspectral imaging with the genetic algorithm (GA) was adopted in this study to realize non-destructive prediction kiwifruit SSC. A laboratory Vis/NIR system established collect 120 samples at range 400–1100 nm. The average reflectance spectral data region interest were obtained after differen...

This thesis describes research on the use of a genetic algorithm (GA) to prescribe treatment plans for forest management at the stand level. Forest management refers to making decisions about when and where to intervene in the natural growth of forests to achieve objectives, such as enhancing the visual quality of a stand or maximizing timber yield. A prescription is a schedule of thinning trea...

UNLABELLED Aims/Introduction:  Serum glycated albumin (GA) and glycated hemoglobin (HbA1c) are influenced by plasma glucose levels, and are used for monitoring chronic glycemic control in diabetic patients. Both glycated proteins are known to be influenced by various factors other than plasma glucose levels. In the present study, we examined the effects of hypertriglyceridemia on them. MATERI...