The purpose of this study is to evaluate the differences of body compensation image on variations in the shoulder height and width of power shoulder raglan sleeve jacket. Nine samples were examined: 3 variations of the shoulder height and 3 variations of the shoulder width. The data was evaluated by 123 fashion design majors. The results were as follows; as a result of analyzing the body compensation image according to changes in the shoulder height and width of power shoulder raglan sleeve jacket, five factors were selected; the shoulder compensation factor, the bust compensation factor, the waist compensation factor, the arm compensation factor and the neck compensation factor. Among these factors, the shoulder compensation factor is the most important factor. Examining the major effect of the body compensation image based on changes in the shoulder height and width of power shoulder raglan sleeve jacket, it had an independent influence on factors about waist, neck, shoulder and arm compensation except a factor about bust compensation, had an influence on interacting effect of factors about shoulder, bust, waist, arm compensation, and it had no influence on interacting effect of a factor about neck compensation. This shows that the shoulder height has larger effect on neck compensation image than the shoulder width in power shoulder raglan sleeve jacket.

This study introduces an algorithm for geometric distortion corrections in sonar images. The proposed algorithm mainly consists of two stages. At the first stage, the raw images are processed with median filter and Frost filter for noise reduction and intensity enhancement. In the last stage, the geometric distortion correction is conducted using angular information given by a gyro sensor. The algorithm was successfully applied on raw sonar data collected on a pier survey.