A growing number of studies clarify user's behavior on the Web because of decreasing costs of data collection using the Web. The primary purpose of the present study is analysis of PC-mouse movements as behavioral information to reveal an answered rank to image choices from 9 choices. We analyzed a web-query with 300 people, and clarified the ability to presume the order of giving priority by PC-mouse movements. The agreement rate of the presumption order is 31%. There is a tolerance also in the noise caused by an illegal respondent and the age. When the sample size is 240 or more, the inferential accuracy becomes steady.
In implementing the particle image velocimetry (PIV), the measurement accuracy is often badly influenced by the distortion caused by the refraction depending on the shape of the water tank. In this paper, we propose a correction method of an image distortion using a liquid crystal display (LCD). A waterproof LCD is placed in the water and it displays a coded dots pattern to construct a coordinate transformation table which is used to eliminate distortion. In this paper, the proposed method demonstrates the correction of the distortion due to the refraction effects between the tank and water. The performance of the proposed method is evaluated utilizing the PIV standard images.