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In 2008, an American presidential election was held. In this study, we examined the speeches of three candidates to educe their linguistic features statistically. In short, frequency characteristics of character-appearance and word-appearance were investigated. These characteristics were approximated by an exponential function. Furthermore, the percentage of required vocabulary and that of basic vocabulary...
This paper describes a study which aim is to evaluate the effectiveness of podcasting technology in teaching online courses. A sample group of 104 students, with an optional access to audio recordings (podcasts) of the course, completed an online questionnaire. Some ANOVA tests were done to compare the group of students who listened to the online recordings (33) with those who did not (71). The results...
This paper presents novel mathematical models to decide similarity functions for experience-based and dynamic experience-based fuzzy classification. By extending crisp partition to fuzzy partition and introducing statistical approach, we firstly establish models for experience-based fuzzy classification. Based on these models, we propose a new mathematical model for dynamic experience-based fuzzy...
We define a transfer function based on the first and second statistical moments. We consider the evolution of the mean and variance with respect to a growing neighborhood around a voxel. This evolution defines a curve in 3D for which we identify important trends and project it back to 2D. The resulting 2D projection can be brushed for easy and robust classification of materials and material borders...
Human resources of colleges and universities were the most important resource in higher education resources and important assurance of higher education development, and teachers of colleges and universities were the main force of college and university human resources. In this paper, computer data analysis on need hierarchical structure of part Heilongjiang colleges and universities and difference...
In this paper, we present a new and automated technique to extract defects in photomask images. To correctly extract defects, we propose a robust automated method based on second order moment (SOM) between reference and test images and a statistical model based on difference image are used. The statistical model is distribution of the normalized absolute difference value (ADV) between reference and...
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