in view of the increase in saccharomyces cerevisiae mannan content, the culture condition for s.cerevisiae were optimized in this study. the influence of culture condition such as original ph, inoculum size, and temperature on mannan production were evaluated using response surface methodology. the mathematical model was established by the quadratic rotary combination design. with the order of ...

Experiments were conducted to determine the effects of frequency and amplitude of vibration on friction. The experimental analysis also seeks to take into account a variety of factors influencing the coefficient of friction such as normal load and surface roughness. An in-house pin-on-disc apparatus was constructed with a spindle speed control and applied forced-feedback to perform the tests. T...

Bias reduction is an important condition for effective feature extraction. Utilizing recent theoretical results in high dimensional statistical modeling, we propose a model-free yet computationally simple approach to estimate the partially linear model Y = Xβ+g(Z)+ε. Based on partitioning the support of Z, a simple local average is used to approximate the response surface g(Z). The model can be...

The main goal of the rule space method is to classify examinees into the closest ideal attribute mastery patterns and to assigned appropriate attribute mastery probabilities to them based on their item response patterns. The quality of pattern classification and probability assignment depends on the validity of the proposed attributes and the Qmatrix. The rule-space method provides the quality ...

The Rich Picture (RP), as described in Peter Checkland’s Soft Systems Methodology, is a flexible graphical technique used to represent a situation, problem or concept. In a university teaching environment which aims to encourage students to adopt deep learning (seeking meaning) approaches when learning about information systems, the RP is proving to be a useful technique. The use of and reactio...

Manuscripts submitted to journals should be understandable even to those who are not experts in a particular field. Moreover, they should use publicly available materials and the results should be verifiable and reproducible. Readers and reviewers will want to check the strengths and weaknesses of the research study design, and ways to make this determination should be clear through proper anal...

Much of the recent research into imputation methodology has focused on developing optimal procedures for a single variable or set of variables, where the patterns of missingness and underlying distributions follow standard distributions. In contrast, it is frequently necessary to impute for many variables from a single survey, with an even larger set of potential covariates and complex covarian...

Analyzing data that are measured or collected in processes requires statistical software. Most methods for analysis use a regression approach or its expanded forms such as polynomial and response surface models. However, the available commercial programs are inconvenient and costly for personal use, and require demanding pre-training in using them. A simple and user-friendly interface program a...

Design of experiment with related factors can be implemented by using the technique of sliding levels. Taguchi (1987) proposed an analysis strategy by re-centering and re-scaling the slid factors. Hamada and Wu (1995) showed via counter examples that in many cases the interactions cannot be completely eliminated by Taguchi’s strategy. They proposed an alternative method in which the slid factor...

Classifier combining techniques have become popular for improving weak classifiers in recent years. The random subspace method (RSM) is an efficient classifier combining technique that can improve classification performance of weak classifiers for the small sample size (SSS) problems. In RSM, the feature subsets are randomly selected and the resulting datasets are used to train classifiers. How...