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안현철,이정환 ( Hyun Chul Ahn,Jeong Hwan Lee ) 한국산림과학회 1998 한국산림과학회지 Vol.87 No.3
The present study focused on the vegetation structure and dynamics of Betula davurica forest were to provide the information for management, distribution and utilization of B. davurica forest in Mt. Chiri national park, southern Korea. The layer structure of B. davurica forest were consist of tree layer(18 species), middle layer(29 species), shrub layer(43 species) and herb layer(68 species). According to the importance value of stratification of layers, In tree layer, B. davurica dominant the highest value of 123.97%, Alnus hirsuta 49.04., Castanea crenata 25.58%, Quercus serrata 25.02%, Stewartia koreana 14.49%, in middle layer were B. davurica 70.81%, Q. serrata 37.74%, Fraxinus rhynchophylla 25.35% Lindera erythrocarpa 24.52% , S. koreana 18.86%, shrub layer were Sasa borealis 28.28%, L. erythrocarpa 24.94% . Rhus trichocarpa, 20.42%, Stephanandra incisa 19.90% and herb layer Schazandra chinensis 18.51%, Aster scaber 12.26%. Disporum smilacinum 10.63% etc, respectively. Results of chi-square test statistics based on presence-absence parameters, the positively associated species pair were Quercus variablis - Q. acutissima, Stewartia koreana - Symplocos paniculata, Acer pseudo-sieboldianum - Quercus mongolica. And covariation was calculated baste on quantitative measure of density. The results showed that the association and covariation values among species not agreed with each other. The frequency distribution of DBH Betula davurica species showed reverse J-shaped, therefore it`s seems to retrain as a dominant species. When predicting succession in Betula davurica forest, it is seedling and saplings were not richness, succession was governed by competition of hardwood species of subtree and tree layer.
심정지 후 치료적 저체온 요법을 시행한 환자의 사망예측에 있어 B-type natriuretic peptide수치의 유용성
안현철,임용수,조진성,김진주,양혁준,박원빈,우재혁,현성열 대한응급의학회 2013 대한응급의학회 학술대회초록집 Vol.2013 No.2
Background: Some study demonstrated that B-type natriuretic peptide (BNP) has a predictive value of sudden cardiac arrest in heart failure patients. The aim of this study was to investigate the usefulness of serum BNP level for prediction of death in post cardiac arrest patients treated with Therapeutic hypothermia (TH). Methods: We prospectively studied out-hospital cardiac arrest (OHCA) survivors who treated with TH between April, 2007 and August, 2010. We divided into two groups based on 3 month death. Initial serum BNP level was checked and we compared the BNP level between both group. Results: Total 162 patients were enrolled in study. Among 162 patients, 109 patients were male, mean age was 50. The BNP level of non-survival group (n=77) was higher than those of survival group (n=85). However, there had no statistically difference (19.45 pg/ml vs 30.75 pg/ml, p=0.174). The BNP cut off value of 106 pg/ml for 3 month death had a sensitivity of 35.1% and a specificity of 78.8%. In the logistic regression analysis, BNP level higher than 106pg/ml was significantly associated with 3 month death (Odds Ratio [OR] 2.625, 95% Confidence Interval [CI] 1.066-6.463) and other independent factors were BLS to ROSC (OR, 1.105; CI, 0.082- 1.038), non- VF/VT (OR, 3.698; CI, 1.632-8.380), APACHE II score (OR, 1.117; CI, 1.035-1.204). Conclusion: In our study, initial Serum BNP level is related with 3 month death in patients who received TH after OHCA. Further randomized controlled study is needed.
안현철(Hyunchul Ahn) 한국데이타베이스학회 2014 Journal of information technology applications & m Vol.21 No.4
This study proposes a novel context-aware recommender system, which is designed to recommend the items according to the customer’s responses to the previously recommended item. In specific, our proposed system predicts the user’s emotional state from his or her responses (such as facial expressions and movements) to the previous recommended item, and then it recommends the items that are similar to the previous one when his or her emotional state is estimated as positive. If the customer’s emotional state on the previously recommended item is regarded as negative, the system recommends the items that have characteristics opposite to the previous item. Our proposed system consists of two sub modules-(1) emotion prediction module, and (2) responsive recommendation module. Emotion prediction module contains the emotion prediction model that predicts a customer’s arousal level-a physiological and psychological state of being awake or reactive to stimuli-using the customer’s reaction data including facial expressions and body movements, which can be measured using Microsoft’s Kinect Sensor. Responsive recommendation module generates a recommendation list by using the results from the first module-emotion prediction module. If a customer shows a high level of arousal on the previously recommended item, the module recommends the items that are most similar to the previous item. Otherwise, it recommends the items that are most dissimilar to the previous one. In order to validate the performance and usefulness of the proposed recommender system, we conducted empirical validation. In total, 30 undergraduate students participated in the experiment. We used 100 trailers of Korean movies that had been released from 2009 to 2012 as the items for recommendation. For the experiment, we manually constructed Korean movie trailer DB which contains the fields such as release date, genre, director, writer, and actors. In order to check if the recommendation using customers’ responses outperforms the recommendation using their demographic information, we compared them. The performance of the recommendation was measured using two metrics-satisfaction and arousal levels. Experimental results showed that the recommendation using customers’ responses (i.e. our proposed system) outperformed the recommendation using their demographic information with statistical significance.
안현철 순천향의학연구소 2001 Journal of Soonchunhyang Medical Science Vol.7 No.1
This study was carried out to investigate the characteristics of emergent patients and to contribute the efficient management of emergency medical services in a secondary hospital. The subjects were 16,780 patients visiting the emergency room of a 130-bed local hospital located in Ansung, Kyunggi province during recent one year. The results were as follows: 1. While the highest urgent patients by age groups were over 60 years(9.3%) and 50 - 59 years(4.5%) in order, the highest emergent patients in male(3.2% and 3.3%) were significantly higher than in female(2.4% and 2.2%)(p<0.001). 2. The most frequent arrival time of urgent and emergent patients were on 11 p.m. - 3 a.m. and on 4 a.m. - 8 a.m., respectiverly. 3. The rates of urgent patients by causes of diseases were predominant in traffic accident (10.3%) and in other injury(6.0%), and those of emergent patients were in other injury (9.7%) and in traffic accident(7.1%). 4.The rates of urgent and emergent patients were significant higher in transfer-in patients(22.1% and 25.0%) than in direct visiting patients(both 2.3%)(p<0.001). 5. The rates of urgent and emergent patients among the visiting patients were 2.9% and 2.8%. Consequently, there were insufficient and inappropriate roles and functions of this emergency room. Therefore, further studies for the evaluation of emergency medical service system, roles and functions in emergency room for local hospitals would be recommended.
數値高度모델을 利用한 推定地形指數式開發과 集材시스템의 選定에 관한 硏究
安鉉哲 건국대학교 1994 대학원 학술논문집 Vol.38 No.-
This study was aimed at (1) developing a estimated terrain index formula using DEM and (2) selecting a skidding system. The case study area was the experimental forest of Chinju National University. The estimates terrain Index formula was Y=1 038x+10.473(r"=0,56, Y is estimated terrain index and X Is maximum gradient) using correlation between the actual terrain index and maximum gradients in the area. For the selection of skidding system, the cable yarding system was better than tractor hauling system in the case study area.