• 제목/요약/키워드: ensemble mean

검색결과 203건 처리시간 0.025초

가중치 기반 Bag-of-Feature와 앙상블 결정 트리를 이용한 정지 영상에서의 인간 행동 인식 (Human Action Recognition in Still Image Using Weighted Bag-of-Features and Ensemble Decision Trees)

  • 홍준혁;고병철;남재열
    • 한국통신학회논문지
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    • 제38A권1호
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    • pp.1-9
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    • 2013
  • 본 논문에서는 CS-LBP (Center-Symmetric Local Binary Pattern) 특징과 공간 피라미드를 이용한 BoF (Bag of Features)를 생성하고 이를 랜덤 포레스트(Random Forest) 분류기에 적용하여 인간의 행동을 인식하는 알고리즘을 제안한다. BoF를 생성하기 위해 영상을 균일한 패치로 나누고, 각 패치 마다 CS-LBP 특징을 추출한다. 행동 분류 성능을 향상시키기 위해 패치들마다 추출한 특징벡터들에 대해 K-mean 클러스터링을 적용하여 코드 북을 생성한다. 본 논문에서는 영상의 지역적인 특성을 고려하기 위해 공간 피라미드 방법을 적용하고 각 공간 레벨에서 추출된 BoF에 대해 가중치를 적용하여 최종적으로 하나의 특징 벡터로 결합한다. 행동 분류를 위해 결정트리의 앙상블로 이루어진 랜덤 포레스트는 학습 단계에서 각 행동 클래스를 위한 분류 모델을 만든다. 가중 BoF가 적용된 랜덤 포레스트는 다양한 인간 행동 영상을 포함하고 있는 Standford Actions 40 데이터를 성공적으로 분류하였다. 또한 기존 방법에 비해 분류 성능이 유사하거나 우수하며, 한 장의 영상에 대해 빠른 인식속도를 보였다.

서열환경 하에서의 텐셀소재 의복의 착용감 연구 (A Study on Wear Sensations of Tecel Fabrics in Hot Environments)

  • 권오경;송민규;이창미
    • 대한가정학회지
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    • 제38권3호
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    • pp.149-161
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    • 2000
  • The purpose of the study was to examine the effect of Tencel fabrics on physiological reactions of a human body and thermal comfort under the hot environment. The 3 females subjects in their twenties were selected and a wear sensation test of the subjects was performed with four experimental ensembles made of cotton and Tencel fabrics for the study in the hot environment(3$0^{\circ}C$, 70%RH). The resets of the test were summarized as follows: For the mean skin temperature, Tencel garments showed about 0.2$^{\circ}C$-0.4$^{\circ}C$ lower than that of the cotton garment. The temperature of the rectal was 0.2$^{\circ}C$-0.4$^{\circ}C$ lower for Tencel garments than that for the colon garment. In the form of ensembles, the order of rectal temperature of the subjects for both Tencel and cotton ensembles was 1>IV>III>II. In the body weight loss according to garment materials, Tencel had a lower and more uniform than the cotton Thus, it could concluded that if the perspiration took into account, garments made of Tencel can be more ideal than that of the cotton. The heart rate and oxygen consumption appeared to be proportional to each other. For the heart rate, ensemble TI and TII of Tencel were much lower than ensemble CI and CII. For whole enembles except for TIV, Tencel ensembles showed relatively better thermal sensation and comfort sensation than the cotton ensembles. In the fatigue sensation, the reactions of the subjects were “slightly fatigue” and “fatigue” for the cotton, but “neutral” and “slightly fatigue” for Tencel.

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북서태평양 태풍 강도 가이던스 모델 성능평가 (Validations of Typhoon Intensity Guidance Models in the Western North Pacific)

  • 오유정;문일주;김성훈;이우정;강기룡
    • 대기
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    • 제26권1호
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    • pp.1-18
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    • 2016
  • Eleven Tropical Cyclone (TC) intensity guidance models in the western North Pacific have been validated over 2008~2014 based on various analysis methods according to the lead time of forecast, year, month, intensity, rapid intensity change, track, and geographical area with an additional focus on TCs that influenced the Korean peninsula. From the evaluation using mean absolute error and correlation coefficients for maximum wind speed forecasts up to 72 h, we found that the Hurricane Weather Research and Forecasting model (HWRF) outperforms all others overall although the Global Forecast System (GFS), the Typhoon Ensemble Prediction System of Japan Meteorological Agency (TEPS), and the Korean version of Weather and Weather Research and Forecasting model (KWRF) also shows a good performance in some lead times of forecast. In particular, HWRF shows the highest performance in predicting the intensity of strong TCs above Category 3, which may be attributed to its highest spatial resolution (~3 km). The Navy Operational Global Prediction Model (NOGAPS) and GFS were the most improved model during 2008~2014. For initial intensity error, two Japanese models, Japan Meteorological Agency Global Spectral Model (JGSM) and TEPS, had the smallest error. In track forecast, the European Centre for Medium-Range Weather Forecasts (ECMWF) and recent GFS model outperformed others. The present results has significant implications for providing basic information for operational forecasters as well as developing ensemble or consensus prediction systems.

운동에 의한 열 스트레스하에서 흡한속건성 소재 운동복 착용시의 온열생리적 반응 및 주관적 감각 (Thermophysiological Responses and Subjective Sensations when Wearing Clothing with Quickly Water-Absorbent and Dry Properties Under Exercise-Induced Heat Strain)

  • 이소진;박신정
    • 한국의류산업학회지
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    • 제8권3호
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    • pp.349-356
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    • 2006
  • The purpose of this study was to compare the thermophysiological responses and subjective sensations of clothing materials with different water transfer property investigated in exercising and resting subjects at an ambient temperature of $20^{\circ}C$ and a relative humidity of 40%. Two kinds of clothing ensemble were tested: 100% cotton with highly water-absorbent but slowly dry properties(C) and 100% polyester with quickly water-absorbent and dry properties by four capillary channels(QADP). Seven apparently healthy male participants each undertook two series of experiments comprised 10-min of rest, 20-min of exercise with 70% of $VO_{2max}$ on a treadmill and 20-min of recovery. Mean skin temperature was significantly lower in QADP than in C during exercise and recovery. Clothing microclimate temperature was significantly lower in QADP during exercise and clothing surface temperature was also lower in QADP especially during recovery. Also, clothing surface humidity was significantly higher in QADP after the later half of exercise. The concentration of blood lactic acid tended to decrease to a lower level at recovery 3 minutes when wearing QADP rather than C clothing ensemble. Metabolic energy was marginally significantly less during the second half of exercise in QADP. Body mass loss tended to be greater in C than in QADP. The participants had better scores in thermal sensation, comfortable sensation and wetness in QADP during exercise and recovery. These results show that functional materials with quickly water-absorbent and dry properties can alleviate heat strain and induce more comfortable clothing microclimates and subjective sensations in the exercise-induced hyperthermia.

기상예보를 고려한 ESP 유출 확률 산정 (Estimation of ESP Probability considering Weather Outlook)

  • 안정민;이상진;김정곤;김주철;맹승진;우동현
    • 한국물환경학회지
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    • 제27권3호
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    • pp.264-272
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    • 2011
  • The objective of this study was to develop a model for predicting long-term runoff in a basin using the ensemble streamflow prediction (ESP) technique and review its reliability. To achieve the objective, this study improved not only the ESP technique based on the ensemble scenario analysis of historical rainfall data but also conventional ESP techniques used in conjunction with qualitative climate forecasting information, and analyzed and assessed their improvement effects. The model was applied to the Geum River basin. To undertake runoff forecasting, this study tried three cases (case 1: Climate Outlook + ESP, case 2: ESP probability through monthly measured discharge, case 3: Season ESP probability of case 2) according to techniques used to calculate ESP probabilities. As a result, the mean absolute error of runoff forecasts for case 1 proposed by this study was calculated as 295.8 MCM. This suggests that case 1 showed higher reliability in runoff forecasting than case 2 (324 MCM) and case 3 (473.1 MCM). In a discrepancy-ratio accuracy analysis, the Climate Outlook + ESP technique displayed 50.0%. This suggests that runoff forecasting using the Climate Outlook +ESP technique with the lowest absolute error was more reliable than other two cases.

기업부실 예측 데이터의 불균형 문제 해결을 위한 앙상블 학습 (Ensemble Learning for Solving Data Imbalance in Bankruptcy Prediction)

  • 김명종
    • 지능정보연구
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    • 제15권3호
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    • pp.1-15
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    • 2009
  • 데이터 불균형 문제는 분류 및 예측 문제에서 하나의 범주에 속하는 표본의 수가 다른 범주들에 속하는 표본 수에 비하여 현저하게 적을 경우 나타난다. 데이터 불균형이 심화됨에 따라 범주 사이의 분류 경계영역이 왜곡되고 결과적으로 분류자의 학습성과가 저하되는 문제가 발생한다. 본 연구에서는 데이터 불균형 문제를 해결하기 위하여 Geometric Mean-based Boosting (GM-Boost) 알고리즘을 제안하고자 한다. GM-Boost 알고리즘은 기하평균 개념에 기초하고 있어 다수 범주와 소수 범주를 동시에 고려한 학습이 가능하고 오분류된 표본에 집중하여 학습을 강화할 수 있는 장점이 있다. 기업부실 예측문제를 활용하여 GM-Boost 알고리즘의 성과를 검증한 결과 기존의Under-Sampling, Over-Sampling 및 AdaBoost 알고리즘에 비하여 우수한 분류 정확성을 보여주었고 데이터 불균형 정도에 관계없이 견고한 학습성과를 나타냈다.

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WRF 모형의 적운 모수화 방안이 CORDEX 동아시아 2단계 지역의 기후 모의에 미치는 영향 (Impact of Cumulus Parameterization Schemes on the Regional Climate Simulation for the Domain of CORDEX-East Asia Phase 2 Using WRF Model)

  • 최연우;안중배
    • 대기
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    • 제27권1호
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    • pp.105-118
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    • 2017
  • This study assesses the performance of the Weather Research and Forecasting (WRF) model in reproducing regional climate over CORDEX-East Asia Phase 2 domain with different cumulus parameterization schemes [Kain-Fritch (KF), Betts-Miller-Janjic (BM), and Grell-Devenyi-Ensemble (GD)]. The model is integrated for 27 months from January 1979 to March 1981 and the initial and boundary conditions are derived from European Centre for Medium-Range Weather Forecast Interim Reanalysis (ERA-Interim). The WRF model reasonably reproduces the temperature and precipitation characteristics over East Asia, but the regional scale responses are very sensitive to cumulus parameterization schemes. In terms of mean bias, WRF model with BM scheme shows the best performance in terms of summer/winter mean precipitation as well as summer mean temperature throughout the North East Asia. In contrast, the seasonal mean precipitation is generally overestimated (underestimated) by KF (GD) scheme. In addition, the seasonal variation of the temperature and precipitation is well simulated by WRF model, but with an overestimation in summer precipitation derived from KF experiment and with an underestimation in wet season precipitation from BM and GD schemes. Also, the frequency distribution of daily precipitation derived from KF and BM experiments (GD experiment) is well reproduced, except for the overestimation (underestimation) in the intensity range above (less) then $2.5mm\;d^{-1}$. In the case of the amount of daily precipitation, all experiments tend to underestimate (overestimate) the amount of daily precipitation in the low-intensity range < $4mm\;d^{-1}$ (high-intensity range > $12mm\;d^{-1}$). This type of error is largest in the KF experiment.

1904년 이래의 부산 기후 변동성 및 생활기상지수들의 기후변화 특성 연구 (A Study on Characteristics of Climate Variability and Changes in Weather Indexes in Busan Since 1904)

  • 전하은;하경자;김혜렴
    • 대기
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    • 제33권1호
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    • pp.1-20
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    • 2023
  • Holding the longest observation data from April 1904, Busan is one of the essential points to understand the climate variability of the Korean Peninsula without missing data since implementing the modern weather observation of the South Korea. Busan is featured by coastal areas and affected by various climate factors and fluctuations. This study aims to investigate climate variability and changes in climatic variables, extremes, and several weather indexes. The statistically significant change points in daily mean rainfall intensity and temperature were found in 1964 and 1965. Based on the change point detection, 117 years were divided into two periods for daily mean rainfall intensity and temperature, respectively. In the long-term temperature analysis of Busan, the increasing trend of the daily maximum temperature during the period of 1965~2021 was larger than the daily mean temperature and the daily minimum temperature. Applying Ensemble Empirical Mode Decomposition, daily maximum temperature is largely affected by the decadal variability compared to the daily mean and minimum temperature. In addition, the trend of daily precipitation intensity from 1964~2021 shows a value of about 0.50 mm day-1, suggesting that the rainfall intensity has increased compared to the preceding period. The results in extremes analysis demonstrate that return values of both extreme temperatures and precipitation show higher values in the latter than in the former period, indicating that the intensity of the current extreme phenomenon increases. For Wet-Bulb Globe Temperature (effective humidity), increasing (decreasing) trend is significant in Busan with the second (third)-largest change among four stations.

Micro-PIV Measurements of In Vitro Blood Flow in a Micro-Channel

  • Park, Cheol-Woo;Lee, Sang-Joon;Shin, Se-Hyun
    • International Journal of Vascular Biomedical Engineering
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    • 제1권2호
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    • pp.30-35
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    • 2003
  • Flow characteristics of blood flow in a micro channel were investigated experimentally using a micro-PIV (Particle Image Velocimetry) velocity field measurement technique. The main objective of this study was to understand the real blood flow in micron-sized blood vessels. The Reynolds number based on the hydraulic diameter of micro-channel for deionized (DI) water was about Re=0.34. For each experimental condition, 100 instantaneous velocity fields were captured and ensemble-averaged to get the spatial distributions of mean velocity. In addition, the motion of RBC (Red Blood Cell) was visualized with a high-speed CCD camera. The captured flow images of nano-scale fluorescent tracer particles in DI water were clear and gave good velocity tracking-ability. However, there were substantial velocity variations in the central region of real blood flow in a micro-channel due to the presence of red blood cells.

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PIV를 이용한 선박 프로펠러 후류의 속도장 계측 (PIV Velocity Field Measurements of Flow around a Ship with Rotating Propeller)

  • 이상준;백부근
    • 대한조선학회논문집
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    • 제40권5호
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    • pp.17-25
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    • 2003
  • Velocity field behind a container ship model with a rotating propeller has been investigated using PIV (particle image velocimetry) system. Four hundred instantaneous velocity fields were measured at 4 different blade phases and ensemble-averaged to investigate the spatial evolution of vortical structure of near wake within one propeller diameter downstream. The phase-averaged mean velocity fields show the potential wake and the viscous wake formed due to the boundary layers developed on the blade surfaces. The interaction between bilge vortex developed along the hull surface and the tangential velocity component of incoming flow causes to have asymmetric flow structure in the transverse plane.