This paper is to investigate the influence of the ultra sound waves that are included in the sounds of costal waves on human brain waves, by experimenting using CD recorded wave sounds. The experiment was conducted using a full range pass sound, and low range pass sound which is not including high frequency band width to 26 subjects and was measured amounts of brain wave activity in 4 different type of brain wave frequency, delta, theta, alpha and beta waves respectively. State of activity of brain wave was also expressed on brain wave map. At the same time, Profile of Mood States (POMS), brain reaction by personality and psychological evaluation were also examined. As the result, we obtained that ultra sound wave affects to human brain with statistically significant.

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In this study, forty 60-year-old Japanese Cedars (Cryptomeria japonica) at a study area of about 400 m² were measured to estimate the tree position, the diameter at breast height (DBH) and the biomass using a portable scanning lidar with a high spatial resolution. As a result, 31 (78%) out of 40 trees were measured from one point, and the rest of tree positions were measured from 3 points including the first point mentioned. The DBH for each tree was estimated with a RMSE (Root Mean Square Error) of 6.1 mm when compared with ground-truth tape measurements. Then, the stem-biomass (carbon weight) was calculated by an existing quadratic equation (R² = 0.843) using estimated DBH. The RMSE between the estimated stem-biomass and the stem-biomass evaluated based on a timber volume formula using the DBH was found to be 11.5 kgC/tree. Then the whole biomass (carbon weight including stems, branches, foliage and roots) of each tree was estimated by using existing quadratic equations (R² = 0.843 for stem and R² = 0.792 for branch, leaf and root) based on the relationship between the DBH and the biomass. Furthermore, estimation reliability according to the number of measured trees was examined by choosing trees by changing the degrees of the lidar. Results showed that the biomass per square meter was estimated with an error of about 12%, 5% and 3% in the case of 10 (25%), 20 (50%) and 30 (75%) measured trees respectively.

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