This paper introduces an approach for recognizing illustrations of origami drill books with a view to understanding folding process of origami. For this purpose, comparing and matching two kinds of graphic forms are required. One is a graph generated from an origami illustration image by applying image processing techniques to it. The other is that obtained from an internal model which is produ...

Learning management systems log users’ behaviors, which can be used to predict achievement in a course. This paper examines the implications of data representations (e.g., dichotomous vs. count vs. principled, per learning theory) and applies forward selection algorithms to predict achievement in a biology course. Accuracy is compared across models. The paper closes with a description of an ong...

Multiple Objective Programming (MOP) problems have become famous among many researchers due to more practical and realistic implementations. There have been a lot of methods proposed especially during the past four decades. In this paper, we develop a new algorithm based on a new approach to solve MOP problems by starting from a utopian point (which is usually infeasible) and moving towards the...

Security investment problems are mostly highly-nonlinear and have huge operations, hence quantitative investment is applied to make decisions frequently. Considering the example of Medicine plate in Chinese stocks, fundamental indicators and technical indicators are combined, and then investment decisions are made and optimized stepwise based on rough set model, where generical gorithm is appli...

We implement genetic algorithm based predictive model building as an alternative to the traditional stepwise regression. We then employ the Information Complexity Measure (ICOMP) as a measure of model fitness instead of the commonly used measure of R-square. Furthermore, we propose some modifications to the genetic algorithm to increase the overall efficiency.

Two iterative procedures for constructing Rasch scales are presented. A log-likelihood ratio test based on a quasi-loglinear formulation of the Rasch model is given by which one item at a time can be deleted from or added to an initial item set. In the so-called "top-down" algorithm, items are stepwise deleted from a relatively large initial item set, whereas in the "bottom-up" algorithm items ...

In this research,QSAR study has been carried out on quinolizidinyl derivatives as potent inhibitors of Acetyl and Butyrylcholin esterase in Alzheimer’s disease. Despite significant research efforts in both industry and academia, there are currently no diseases modifying therapies available to treat this illness. Significant evidence suggests that the pathology of AD is linked to generation of β...

We present an algorithm for equivalence checking between two C++ objects that uses stepwise induction. To prevent the effort of checking each state for reachability, we utilize a hypothesis that approximately describes the reachable states.