http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
( Seunghun LEE ),( Ju Han KIM ),( Myung Ho JEONG ),( Hyukjin PARK ),( Ji Eun KIM ),( Youngkeun AHN ),( Jong Hyun KIM ),( Shung Chull CHAE ),( Young Jo KIM ),( Seung Ho HUR ),( In Whan SEONG ),( Take J 대한내과학회 2014 대한내과학회 추계학술대회 Vol.2014 No.1
Background: This study aims to investigate clinical features, angiographic fi ndings, and outcomes of young AMI patients. Methods: We analyzed major adverse cardiac events (MACE) in the Korea Acute Myocardial Infarction Registry from November 2005 to October 2010. Registered patients were divided into two groups, young age group (<45 years) and old age group (=65 years). Results: Young age group was composed of 1,248 patients (39.6±4.3 years) and old age group 9,759 patients (74.5±6.5 years). Male, smoking, family history and dyslipidemia were more frequent in young age group than those in old age group (96.6% vs. 57.5%, P<0.001; 86.9% vs. 45.7%, P<0.001; 15.5% vs. 4.8%, P<0.001; 13.4% vs. 9.5%, P<0.001). Young Korean adults with AMI had a shorter symptom-to-door (17.4±72.6 min vs. 24.2±77.7 min, P=0.002), but a longer door-to-balloon time (111.1±106.8 min vs. 101.8±92 min, P=0.043). The young age group had shown a favorable prognosis compared with old age group by Kaplan-Meier survival analysis (long-rank, P<0.001). However, there was no signifi cant difference in the adjusted MACE rate at one-year (HR 1.10, 95% CI 0.79-1.53, P=0.585), even after propensity-matched analysis (HR 0.80, 95% CI 0.52-1.23, P=0.307). Conclusions: Young Korean adults with AMI have similar clinical outcomes with old age patients, and therefore they should be treated aggressively like elderly patients.
Arc Stability Index Using Phase Electrical Power in AC Electric Arc Furnace
SeungHun Kim,Jae Jin Jeong,KyuHwan Kim,Jong Hyun Choi,Sang Woo Kim 제어로봇시스템학회 2013 제어로봇시스템학회 국제학술대회 논문집 Vol.2013 No.10
In AC electric arc furnace, the state of the arc is a major concern to save the electrical power and to increase the productivity. There have been several researches about the arc stability index, such as the index based on the direct measurements of arc current and the index using the three-phase to ground voltage. In this paper, a modified index, which considers the concepts of both voltages and currents, is introduced. This index is the mapped phase electrical power by a mapping function, and the electrical power is calculated from the phase to ground voltages and currents. The simulations of various cases are performed, and the modified index shows a good performance in analyzing the arc state compared to existing index.
[PE-0031] Single Cross Corn Hybrid ‘Jindaok’with Lodging Tolerance and High Yield
MoonJong Kim(MoonJong Kim),JaeKeun Choi(JaeKeun Choi),HeeYeon Kim(HeeYeon Kim),JeongHeon Han(JeongHeon Han),Wang Seung Hyun(Wang Seung Hyun),WooSik Yong(WooSik Yong),JaeNam Shim(JaeNam Shim),SeungHun 한국육종학회 2022 한국육종학회 공동학술발표집 Vol.2022 No.-
김선희(Sunhee Kim),이주영(Jooyoung Lee),최서경(Seo Gyeong Choi),지승훈(Seunghun Ji),강지민(Jeemin Kang),김종인(Jongin Kim),김도희(Dohee Kim),김보령(Boryoung Kim),조은기(Eungi Jo),김호정(Hojeong Kim),장정민(Jungmin Jang),김준형(Jun Hyung 한국음성학회 2020 말소리와 음성과학 Vol.12 No.4
본 논문은 응급의료 환경에서 음성인식 성능을 향상시키기 위하여 실제 환경에서 데이터 수집 방법을 정의하고 정의된 환경에서 수집된 데이터를 전사하는 방법을 제안한다. 그리고 제안된 방법으로 수집되고 전사된 데이터를 이용하여 기본 음성인식 실험을 진행함으로써 제안한 수집 및 전사 방법을 평가하고 향후 연구 방향을 제시하고자 한다. 모든 음성은 기본적으로 16비트 해상도와 16 kHz 샘플링으로 저장되었다. 수집된 데이터는 총 166건의 대화로서 8시간 35분의 분량이다. 수집된 데이터는 Praat를 이용하여 철자 전사, 음소 전사, 방언 전사, 잡음 전사, 그리고 의료 코드 전사를 수행하여 다양한 정보를 포함한 텍스트 데이터를 구축하였다. 이와 같이 수집된 데이터를 이용하여 기본 베이스라인 실험을 통하여 응급의료 영역에서의 음성인식 문제를 실제로 확인할 수 있었다. 본 논문에서 제시한 데이터는 응급의료 영역의 1단계 데이터로서 향후 의료 영역에서의 음성인식 모델의 학습 데이터로 활용되고, 나아가 이 분야의 음성기반 시스템 개발에 기여할 수 있을 것으로 기대된다. This paper describes a method of building Korean conversational speech data in the emergency medical domain and proposes an annotation method for the collected data in order to improve speech recognition performance. To suggest future research directions, baseline speech recognition experiments were conducted by using partial data that were collected and annotated. All voices were recorded at 16-bit resolution at 16 kHz sampling rate. A total of 166 conversations were collected, amounting to 8 hours and 35 minutes. Various information was manually transcribed such as orthography, pronunciation, dialect, noise, and medical information using Praat. Baseline speech recognition experiments were used to depict problems related to speech recognition in the emergency medical domain. The Korean conversational speech data presented in this paper are first-stage data in the emergency medical domain and are expected to be used as training data for developing conversational systems for emergency medical applications.