In this study, a method of leakage detection was proposed to locate leak position for a reservoir pipeline valve system using wavelet coherence analysis for an injected pressure wave. An unsteady flow analyzer handled nonlinear valve maneuver and corresponding experimental result were compared. Time series of pressure head were analyzed through wavelet coherence analysis both for no leak and leak conditions. The leak information can be obtained through either time domain reflectometry or the difference in wavelet coherence level, which provide predictions in terms of leak location. The reconstructed pressure signal facilitates the identification of leak presence comparing with existing wavelet coherence analysis.
본 연구에서는 코히어런스 분석을 통하여 시각집중 기간 동안 시간 변화에 대한 뇌기능과 관련된 공간-주 파수간 연관관계를 해석하였다. 집중관련 시각자극 실험 데이터를 통해 θ 와 α 대역에서 서로 다른 두피 위치 간 위상연관변화를 확인하였다. 좌우 전두엽, 전두엽과 두정엽 간 뇌유발전위는 P100, N200지점에서 위상동조를 보였으며, 전두엽과 후두엽 간 뇌유발전위는 시각 처리 정보가 반영되는 P300지점에서 위상동조를 보였다. 고정된 길이의 창을 이용하는 단구간 푸리에 변환에 비하여 연속 웨이블릿 변환은 모 웨이블릿의 파라미터 조정을 통한 다중해상도 분석이 가능하였다. 따라서 연속 웨이블릿 변환을 이용한 코히어런스 결과가 시간 변화에 대한 뇌유발전위의 공간-주파수간 연관관계의 변화를 확인하는데 유효함을 확인하였다. 비 집중 자극수행에 대해서는 위상동조 현상이 나타나지 않았다.
Purpose: The purpose of the study is to examine the influence of physical fitness on a nonverbal intelligence score and cortical networking. Methods: Participants were twenty four high-fit and twenty one low-fit middle school students. K-CTONI-2 was used to measure nonverbal intelligence less influenced by educational experience and verbal ability. Cortical activation at F3, F4, C3, C4, P3, P4, T3, T4, O1, and O2 has been recorded during intelligence test. Inter-hemispheric and intra-hemispheric coherences were calculated to examine cortico-cortical communication. Results: As the behavioral results, nonverbal intelligence score and accuracy were not significant different according to physical fitness. The result of coherence revealed that coherence at right hemisphere which is related to visual-spatial processing was higher in high-fit but coherence at left hemisphere related to verbal-analytic processing was higher in low-fit group. Conclusion: The results imply the greater neural efficiency during intelligence test in high-fit relative to low-fit group.