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서동은(Dong-Eun Seo),김병성(Byung-Sung Kim),박완주(Wan-Joo Park),김동석(Dong-Suk Kim),이쾌희(Kwae-Hi Lee) 한국자동차공학회 2007 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
This paper deals development of an suitable methods that detecting a parking lot in various parking situations. The methods are merging points according to objects on parking map and removing a scattering points using reflected signal amplitude information of 24㎓ Short Range Radar. Results through these processes to make parking map have maximum error +/-10㎝ in experiment T-parking and P-parking situations. This result is better stable than ultrasonic, laser sensor.
불안정 지지면 교각운동 시 발디딤 패턴이 성인의 다리와 체간 근육의 근활성도에 미치는 영향
박정서(Jung-Seo Park),양경한(Kyung-Han Yang),이상설(Sang-Seol Lee) 한국의료정보교육협회 2019 보건의료생명과학논문지 Vol.7 No.2
본 연구는 불안정 지지면에서 교각운동 시 발디딤 패턴 방법 차이에 따른 체간근육과 다리근육의 근활성도를 비교하기 위하여 EMG(Noraxon)교각운동 시 효과적인 운동 프로그램을 제시하고자 하였다. 연구대상자는 대전지역 D대학교에 재학중인 남,여 각 10명씩 총 20명을 대상으로 하였으며, 근활성도 측정을 위해 EMG를 활용하였다. 연구결과 발바닥지지 패턴에서는 배바깥빗근과 첵추 세움근에 차이가 있었고, 발가락지지 패턴에서는 3개의 근육 모두 차이가 있었으며, 발꿈치지지 패턴에서는 차이가 없었다. 따라서 안정지지면과 불안정한 지지면에서 교각운동 모두 안정화 운동에 효과적이다. 앞으로 교각운동을 할 때 본 연구 결과를 바탕으로 선택적인 근육의 강화 운동이 가능할 것으로 생각된다. The purpose of this study was to investigate the effect of foot support pattern during bridge exercise with variation of surface on muscle activity of low extremity and trunk. The study was conducted on twenty healthy individuals from D University in Daejeon, During an experience they were counted by EMG that external oblique, Erector spinae, Semitendinosus, Soleus when they doing a bridge exercise by the ankle joints and variation of support surfaces. the result of study, bridge exercise that use stable support surface and unstable support surface, trunk muscle’s activity value was not statistically significant difference. Lower muscle’s activity value in unstable support surface was higher than stable support surface. Therefore, this study was suggested by that it can be effective training method to strengthen lower muscle activities.
복합환승센터의 도시공간상 유기적 연계 특성에 관한 연구 - 샌프란시스코의 트랜스베이 트랜싯 센터 중심으로 -
박용서(Park, Yong-Seo),정용화(Jung, Yong-Hwa) 한국주거환경학회 2020 주거환경(한국주거환경학회논문집) Vol.18 No.1
The Transbay Transit Center, the first high-speed railway-centered intermodal transit center to be introduced in San Francisco’s Transbay District, is transforming, as a gradual evolution of the former physical development centered on railway facilities, into a trend of sustainable TOD(Transit-Oriented Development)-based progress that unites society, culture, and environment based on compact city models, new urbanism, and mixed-use public transportation facilities. First, from the urban perspective, the pattern of organic integration across San Francisco, beyond spatial integration with adjacent districts, is striking, and moves are under way to establish its status as a hub of urban growth, transforming the urban center into the Transbay Transit Center through the form of macro landscapes, traffic nodules in the skyline, and open space planning. Second, on the architectural side, the aspect of the layout planning approach through a mixed-component approach between various traffic-system means, rather than building-oriented individual facility-architecture development methods, is highlighted and three-dimensionally linked to mixed-use functions. Third, concerning transport-hub-based mixed-use developments, architecture and transport infrastructure serve as an integrated interface and are mixed with each other. Based on these three viewpoints, the development is differentiated from the concepts of existing TOD and the intermodal transit center.
박용서(Yong-Seo Park),이재경(Jae-Kyoung Lee) 한국정보기술학회 2017 한국정보기술학회논문지 Vol.15 No.11
The In this paper, we propose an algorithm that can prevent detection of similar arcs by detecting signals in a specified range by removing their periodic components from arc signals having irregularity and discontinuity characteristics. The arc detector was fabricated and the arc signal was effectively detected for resistive load and dimmer load. By using the proposed algorithm, arc judgment error, which is a disadvantage of the conventional method of judging only the shoulder characteristic which appears in resistance load, does not appear. At the dimmer load, where discontinuous signals with a periodicity similar to that of the arc could occur, we could eliminate the similar arc signals by ignoring the periodic signals among these signals. The arc signal detection algorithm proposed in this paper was used to measure the arc signal judgment time at 2.2 seconds on average, and it was confirmed that it satisfies the acceptance criterion condition of arc breaker (FIS-015) within 5 seconds.
Asymmetrically Reweighted Penalized Least Squares을 이용한 기준선 보정에서 최적 매개변수 자동 선택 방법
박아론(Aaron Park),백성준(Sung-June Baek),박준규(Jun-Qyu Park),서유경(Yu-Gyung Seo),원용관(Yonggwan Won) 대한전자공학회 2016 전자공학회논문지 Vol.53 No.3
분광법을 이용한 많은 응용에서 스펙트럼 데이터의 기준선 보정은 분석 시스템의 성능을 좌우하는 매우 중요한 과정이다. 기준선은 많은 경우에 육안 검사로 매개변수를 선택하여 추정한다. 이 과정은 매우 주관적이고 특히 대량의 데이터인 경우 지루한 작업을 동반하므로 좋은 분석 결과를 보장하기 어렵다. 이러한 이유로 기준선 보정에서 최적의 매개변수를 자동으로 선택하기 위한 객관적인 방법이 필요하다. 이전의 연구에서 PLS(penalized least squares) 방법에 새로운 가중 방식을 도입하여 기준선을 추정하는 arPLS(asymmetrically reweighted PLS) 방법을 제안하였다. 본 연구에서는 arPLS 방법에서 최적의 매개변수를 자동으로 선택하는 방법을 제안한다. 이 방법은 가능한 매개변수의 범위에서 추정한 기준선의 적응도와 평활도를 계산한 다음 정규화한 적응도와 평활도의 합이 최소가 되는 매개변수를 선택한다. 경사 기준선, 곡선 기준선, 이중 곡선 기준선의 모의실험 데이터와 실제 라만 스펙트럼을 이용한 실험에서 제안한 방법이 기준선 보정을 위한 최적 매개변수의 선택에 효과적으로 적용될 수 있음을 확인하였다. Baseline correction is very important due to influence on performance of spectral analysis in application of spectroscopy. Baseline is often estimated by parameter selection using visual inspection on analyte spectrum. It is a highly subjective procedure and can be tedious work especially with a large number of data. For these reasons, it is an objective and automatic procedure is necessary to select optimal parameter value for baseline correction. Asymmetrically reweighted penalized least squares (arPLS) based on penalized least squares was proposed for baseline correction in our previous study. The method uses a new weighting scheme based on the generalized logistic function. In this study, we present an automatic selection of optimal parameter for baseline correction using arPLS. The method computes fitness and smoothness values of fitted baseline within available range of parameters and then selects optimal parameter when the sum of normalized fitness and smoothness gets minimum. According to the experimental results using simulated data with varying baselines, sloping, curved and doubly curved baseline, and real Raman spectra, we confirmed that the proposed method can be effectively applied to optimal parameter selection for baseline correction using arPLS.