Browsing by Author "Huang, Kuo-Chen"

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EFFECTS OF CANE LENGTH AND DIAMETER AND JUDGMENT TYPE ON THE CONSTANT ERROR RATIO FOR ESTIMATED HEIGHT IN BLINDFOLDED, VISUALLY IMPAIRED, AND SIGHTED PARTICIPANTS
(2010-04-01)
Huang, Kuo-Chen
;
Leung, Cherng-Yee
;
Wang, Hsiu-Feng
;
應用藝術研究所
;
Institute of Applied Arts
The purpose of this study was to assess the ability of blindfolded, visually impaired, and sighted individuals to estimate object height as a function of cane length, cane diameter, and judgment type. 48 undergraduate students (ages 20 to 23 years) were recruited to participate in the study. Participants were divided into low-vision, severely myopic, and normal-vision groups. Five stimulus heights were explored with three cane lengths, varying cane diameters, and judgment types. The participants were asked to estimate the stimulus height with or without reference to a standard block. Results showed that the constant error ratio for estimated height improved with decreasing cane length and comparative judgment. The findings were unclear regarding the effect of cane length on haptic perception of height. Implications were discussed for designing environments, such as stair heights, chairs, the magnitude of apertures, etc., for visually impaired individuals.
SEISMIC HYPERBOLIC PATTERN DETECTION AND VELOCITY ANALYSIS BY SIMULATED ANNEALING
(2009)
Huang, Kuo-Chen
;
Huang, Kou-Yuan
;
Wang, Luke K.
;
Chou, Ying-Liang
;
Hsieh, Yueh-Hsun
Simulated annealing (SA) is adopted to detect the parameters of line, circle, ellipse, and hyperbola. The equation of pattern is defined under translation and rotation. The parameters of the pattern are learned with probability in SA The proposed SA parameter detection system can search a set of parameter vectors for the global minimal error. In the seismic experiments, the system can well detect line of direct wave and hyperbola of reflection wave in the real seismic data. In the seismic data processing, the reflection curves on common depth reflection point (CDP) gathers are hyperbolic patterns. So using SA, the parameters of each hyperbolic pattern can be detected. The parameters are used to calculate the root-mean-squared velocity V-rms. The V-rms is used to the normal-moveout (NMO) correction and stacking to reconstruct the image of the subsurface. Using the result of SA hyperbolic parameter detection, it is a novel method in the seismic velocity analysis.