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손재곤,최영환,김대근 한국냄새환경학회 2019 실내환경 및 냄새 학회지 Vol.18 No.3
The objective of this study was to investigate the effect of shoe dust on the indoor environment, and the effectiveness of shoe dust control on indoor air quality. Test dust was resuspended to reach a mass concentration of particles (2.5-10 µm size) more than 3 times compared to background level, and 1.5 times for particles less than 1 µm in size. The shoes, which were used for actual walking purposes in the outdoor environment, increased indoor PM10 concentration by 118±9%. The removal of shoe dust by water washing and mechanical suction brought about an improvement of indoor air quality. In particular, in circumstances where 27 people walked for one hour into the indoor environment, the mechanical suction of shoe dust decreased PM10 concentration by about 17% (based on the mass balance analysis).
임채환,손재곤,김상현,최일,김남철,Lim, Chae-Whan,Son, Jae-Gon,Kim, Sang-Hyun,Choi, Il,Kim, Nam-Chul 대한전자공학회 1997 電子工學會論文誌, S Vol.s34 No.6
In this paper, we propose an efficient algorithm for adaptation of tracking windwo, which improves tracking performance of a correlation-based video tracker by rejecting background effect originated from a time-varying target. Th eproposed adaptation algorithm ajdusts the size of a tracking window by using the ratio of spatial gradient power in target region to that in backgorund region, which is especially adequate for a correlation-based tracker. Experimental results for synthetic and real image sequences show that the proposed method adapts a tracking window well to a time-varying target and so greatly suppresses background effect, which makes improvement of trakcing performance.