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김용배,정대봉,조수형,조남수,박영봉,박상기,김춘호,양은석,문경래 大韓應急醫學會 1998 대한응급의학회지 Vol.9 No.3
Drowning is the second most common cause of accidental death of children in Korea. But the study of near-drowning is very rare in Korea. The purpose of our study is to determine the factors that may influence survival on the basis of submersion time, consciousness state upon admission to hospital, the kinds of water, laboratory findings and neurological outcomes. The survey was performed by a retrospective cohort study on 28 near-drowning victims of less than 15 years of age who were admitted to the emergency room in the Chosun University Hospital between May 1988 & May 1997. The results were as follows :1)Sex distribution was 22 males and 6 females. 2) Submersion time was <5 minutes in 9 cases, 5-9 minutes in 6 cases, 10-14 minutes in 5cases, 15-19 minutes in 3 cases, ≥20 minutes in 5cases. 3) Comatose patients upon arrival were 6/7 cases in the death group(86%) and 2/21 cases in the improved group(10%). They had unfavorable outcomes(P<0.05). 4) The first PH value was mean 7.02±0.12 in the death group and mean 7.31±0.13 in the improved group. There was a statistically significant difference between the death and the improved group(P<0.05) 5) The patients who gad increased blood glucose concentration were all 7 cases in the death group and 12/22 cases in the improved group(54%). The mean blood glucose concentration was mean 424.7235.6㎎/㎗ in the death group and mean 140.182.7㎎/㎗ in the improved group. There was a statistically significant difference between the death and the improved group(P<0.05). 6) The patients who had pulmonary edema upon arrival were all 7 cases in the death group and 1/21 cases in the improved group(46%). They had unfavorable outcomes(P<0.05). 7) The patients who had been submerged more than 15 minutes were all 7 cases in the death group and 6/21 cases in the improved group(5%). They had unfavorable outcomes(P<0.05). We conclude that pediatric victims of near-drowning can be assigned to high or low likelihoods of unfavorable our outcomes with the use of five variables ; comatose mentation upon arrival decreased initial blood pH, increased initial blood glucose concentration, pulmonary edema, and maximum submersion time estimated longer than fiften minutes. This prediction rule may be useful if it can be validated in another cohort.
손남례(Nam-Rye Son) 한국콘텐츠학회 2008 한국콘텐츠학회논문지 Vol.8 No.5
무선채널과 같은 저 대역폭에 비디오 스트림을 전송하기 위해서 H.264와 같은 고압축 코덱이 등장하였다. 저 대역폭으로 고압축 비디오 스트림을 전송할 경우, 패킷 손실로 인하여 화질 열화를 초래한다. 본 논문에서는 H.264 부호화 영상이 전송될 때 손실된 움직임 벡터는 주변에 인접한 움직임 벡터와 높은 상관성을 갖는다는 사실에 착안하여 시-공간적 에러 은닉(temporal-spatial error concealment) 방법을 제안한다. 이때 손실된 블록의 후보 움직임 벡터들은 손실된 블록에 인접한 움직임 벡터들을 평균 연결 알고리즘의 단점을 보완하여 후보 벡터 군을 결정한다. 패킷이 손실되는 환경에서 실험한 결과, 제안한 에러은닉 방법은 H.264 복호기에서 사용하는 기존 에러 은닉 방법에 비하여 후보 벡터 개수가 평균적으로 1/3 정도 감소로 인하여 후보벡터에 대한 왜곡 측정 계산량이 크게 감소하였다. 또한 화질에 대한 객관적 평가 기준인 PSNR은 평균적으로 기존 방법들과 거의 비슷하였다. To transmit video bit stream over low bandwidth such as wireless channel, high compression algorithm like H.264 codec is exploited. In transmitting high compressed video bit-stream over low bandwidth, packet loss causes severe degradation in image quality. In this paper, a new algorithm for recovery of missing or erroneous motion vector is proposed. Considering that the missing or erroneous motion vectors in blocks are closely correlated with those of neighboring blocks. Motion vector of neighboring blocks are clustered according to average linkage algorithm clustering and a representative value for each cluster is determined to obtain the candidate motion vector sets. As a result, simulation results show that the proposed method dramatically improves processing time compared to existing H.264/AVC. Also the proposed method is similar to existing H.264/AVC in terms of visual quality.
Prophet와 GRU을 이용하여 단중기 전력소비량 예측
손남례(Nam Rye Son),강은주(Eun Ju Kang) 한국스마트미디어학회 2023 스마트미디어저널 Vol.12 No.11
빌딩에너지관리시스템(BEMS: Building Energy Management System)은 생산 및 소비되는 에너지를 효율적으로 관리하는 시스템이다. 그러나 건물 내 전력소비는 물리적인 특성상으로 인해 생산 및 소비가 일정하지 않아 안정적인 전력 공급이 필수적이다. 이에 따라 건물의 안정적인 전력 공급을 위해서는 정확한 건물 내 전력 소비 예측이 중요하다. 최근에는 시계열분석, 통계분석, 인공지능 등 다양한 방법을 이용하여 전력소비예측에 관한 연구가 진행되고 있다. 본 논문은 Prophet 모델의 장점과 단점을 분석하여 장점인 growth, seasonality, holidays를 선택하였고, Prophet 모델의 단점인 데이터의 복잡성과 외부변수(기후 데이터)의 제한성을 해결하기 위하여 GRU을 조합하여 단기(2일) 및 중기(7일, 15일, 30일) 전력소비량 예측 알고리즘을 제안한다. 실험결과, 제안한 방법은 기존 GRU 및 Prophet 모델보다 성능이 우수하였다. The building energy management system (BEMS), a system designed to efficiently manage energy production and consumption, aims to address the variable nature of power consumption within buildings due to their physical characteristics, necessitating stable power supply. In this context, accurate prediction of building energy consumption becomes crucial for ensuring reliable power delivery. Recent research has explored various approaches, including time series analysis, statistical analysis, and artificial intelligence, to predict power consumption. This paper analyzes the strengths and weaknesses of the Prophet model, choosing to utilize its advantages such as growth, seasonality, and holiday patterns, while also addressing its limitations related to data complexity and external variables like climatic data. To overcome these challenges, the paper proposes an algorithm that combines the Prophet model's strengths with the gated recurrent unit (GRU) to forecast short-term (2 days) and medium-term (7 days, 15 days, 30 days) building energy consumption. Experimental results demonstrate the superior performance of the proposed approach compared to conventional GRU and Prophet models.