in this paper, economic convergence in selected oic (36 countries) is studied. the convergence hypothesis is tested through three approaches: beta convergence, sigma convergence, and time series model. ols is used for estimating the cross section model and cross variance is used to test the distributive model. for analyzing time series model, we used augmented dicky fuller test. beta convergenc...

objectives: the aims of this study were to test whether lightening of the overexposed radiographs improve determination of endodontic files length and whether lightened radiographs are comparable with ideally exposed radiographs. material and methods: four dried human skull coated with soft tissue-equivalent wax used for exposing radiographs of the upper molars. first, the endodontic file was p...

Objectives: The aims of this study were to test whether lightening of the overexposed radiographs improve determination of endodontic files length and whether lightened radiographs are comparable with ideally exposed radiographs. Material and Methods: Four dried human skull coated with soft tissue-equivalent wax used for exposing radiographs of the upper molars. First, the endodontic file was p...

We created a visualization tool called Irregular Trend Finder (ITF) for the VAST Challenge 2012 Mini Challenge 1. ITF is an interactive tool designed for analyzing large amounts of data with timestamp and hierarchy structure in mind, so that a user can see the overview first, and then obtain more detailed information. We discovered the answers for the Challenge, and confirmed that overview firs...

Grubbs test (extreme studentized deviate test, maximum normed residual test) is used in various fields to identify outliers in a data set, which are ranked in the order of x 1 ≤ x 2 ≤ x 3 ≤ ⋅ ⋅ ⋅ ≤ x n (i = 1, 2, 3, . . . , n). However, ranking of data eliminates the actual sequence of a data series, which is an important factor for determining outliers in some cases (e.g., time series). Thus i...

We investigate the feasibility of classifying (inferring) the emergency braking situations in road vehicles from the motion pattern of the accelerator pedal. We trained and compared several classifiers and employed genetic algorithms to tune their associated hyperparameters. Using offline time series data of the dynamics of the accelerator pedal as the test set, the experimental results suggest...