• Journal of the Korean Society of Manufacturing Process Engineers
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• v.20 no.2
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• pp.86-92
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• 2021

Usually, the die-cast components used in small mobile devices require finishing processes, such as computer numerically controlled coating. In such cases, porosity is the most important defect. The shape of the molten aluminum that passes through the runner and gate in a mold is the one of the factors that influences gas porosity. To define the spurt index, which numerically indicates the shape of molten aluminum after the gate, Reynolds number and Ohnesorge number are used. Before die fabrication, computer-aided engineering analysis is performed to optimize the filling pattern. Finally, X-ray and surface inspection are performed after casting and machining to evaluate how the spurt index affects porosity and other product parameters. Based on the results obtained herein, a new gating system design process is suggested.

• Proceedings of the Safety Management and Science Conference
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• 2006.04a
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• pp.491-503
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• 2006

• Science & Technology Policy
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• v.15 no.5 s.155
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• pp.2-13
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• 2005

• The Safety technology
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• no.119
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• pp.36-38
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• 2007

• The Safety technology
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• no.41
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• pp.36-39
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• 2001

• Journal of ILASS-Korea
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• v.27 no.2
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• pp.57-65
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• 2022

The purpose of this study is to use machine learning to build a model capable of predicting the flash boiling spray characteristics. In this study, the flash boiling spray was visualized using Shadowgraph visualization technology, and then the spray image was processed with MATLAB to obtain quantitative data of spray characteristics. The experimental conditions were used as input, and the spray characteristics were used as output to train the machine learning model. For the machine learning model, the XGB (extreme gradient boosting) algorithm was used. Finally, the performance of machine learning model was evaluated using R² and RMSE (root mean square error). In order to have enough data to train the machine learning model, this study used 12 injectors with different design parameters, and set various fuel temperatures and ambient pressures, resulting in about 12,000 data. By comparing the performance of the model with different amounts of training data, it was found that the number of training data must reach at least 7,000 before the model can show optimal performance. The model showed different prediction performances for different spray characteristics. Compared with the upstream spray angle and the downstream spray angle, the model had the best prediction performance for the spray tip penetration. In addition, the prediction performance of the model showed a relatively poor trend in the initial stage of injection and the final stage of injection. The model performance is expired to be further enhanced by optimizing the hyper-parameters input into the model.

• Annual Conference on Human and Language Technology
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• 2021.10a
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• pp.629-632
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• 2021

기계 번역(machine translation)은 자연 언어로 된 텍스트를 다른 언어로 자동 번역 하는 기술로, 최근에는 주로 신경망 기계 번역(Neural Machine Translation) 모델에 대한 연구가 진행되었다. 신경망 기계 번역은 일반적으로 자기회귀(autoregressive) 모델을 이용하며 기계 번역에서 좋은 성능을 보이지만, 병렬화할 수 없어 디코딩 속도가 느린 문제가 있다. 비자기회귀(non-autoregressive) 모델은 단어를 독립적으로 생성하며 병렬 계산이 가능해 자기회귀 모델에 비해 디코딩 속도가 상당히 빠른 장점이 있지만, 멀티모달리티(multimodality) 문제가 발생할 수 있다. 본 논문에서는 단어 정렬(word alignment)을 이용한 비자기회귀 신경망 기계 번역 모델을 제안하고, 제안한 모델을 한국어-영어 기계 번역에 적용하여 단어 정렬 정보가 어순이 다른 언어 간의 번역 성능 개선과 멀티모달리티 문제를 완화하는 데 도움이 됨을 보인다.

• Journal of Preventive Medicine and Public Health
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• v.25 no.1 s.37
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• pp.88-100
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• 1992

This study was conducted to assess the effects of implementation of the patient referral system started July 1st, 1989. A comparison on the pattern of outpatient services of the Departments of Internal Medicine, General Surgery, and Pediatrics at the Yeungnam University Hospital was conducted for each one year period before and after implementation of the patient referral system. The pre-implementation period was from July 1, 1988 to June 30, 1989 and the post-implementation period was from July 1, 1989 to June 30, 1990. The information used for this study was obtained from official forms, prepared by the Yeungnam University Hospital, and submitted to the Korean Medical Insurance Cooperatives. After implementation of the patient referral system, the number of outpatient cases in the Department of Internal Medicine decreased 36.1% from 9,669 cases to 6,181 cases a year. Cases in the Department of General Surgery decreased 23.7% from 1,864 cases to 1,422 cases a year. The number of cases in the Department of Pediatrics decreased 36.9% from 3,372 cases to 2,128 cases a year. After implementation of the patient referral system, the average age of cases in the Departments of Internal Medicine and General Surgery was 52.5 and 49.7 years old, respectively. This was a significant increase in comparison with the pre-implementation period. After implementation of patient referral system, the proportion of new outpatients in the Department of Internal Medicine decreased from 24.1% to 14.6%, the Department of General Surgery from 36.0% to 23.4%, and the Department of Pediatrics from 15.5% to 8.3%. The number of visits per case decreased significantly in the Department of Internal Medicine(from 1.74 to 1.61), but there was no significant change in the Departments of General Surgery and Pediatrics. The length of treatment per case increased significantly in all three departments(from 16.1 days to 19.3 days in the Department of Internal Medicine, from 12.0 days to 15.2 days in the Department General Surgery, and 8.9 days to 11.2 days in the Department of Pediatrics). The number of clinical tests per case increased significantly in the Department of Internal Medicine (from 2.2 to 2.5), in the Department of Pediatrics(from 0.8 to 1.1) and increased in the Department of General Surgery(from 6.4 to 6.6). The average medical cost per case decreased from 43,900 Won to 42,500 Won in the Department of Internal Medicine, while the cost increased from 75,900 Won to 78,500 Won in the Department of General Surgery and from 12,700 Won to 13,500 Won in the Department of Pediatrics. In case-mix, the chronic degenerative disease(i. e. hypertension, diabetes mellitus, angina pectoris, malignant neoplasm, and pulmonary tuberculosis) ranked higher and acute infectious diseases and simple cases(i. e. gastritis and duodenitis, haemorrhoids, anal fissure, carbuncle, acute URI, and bronchitis) ranked lower after implementation of the patient referral system compared to before implementation.

• Journal of the KSME
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• v.17 no.3
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• pp.168-174
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• 1977

과학기술의 비약적인 발전에 따라서, 우주개발, 해양개발등을 실현시키는 단계에 이르렀고, 또한 이에 발맞추어 기계 및 구조물에 사용되는 각종부재의 경량화를 꾀하는 한편 사용장소가 매우 험악해지고 있다. 이와같은 사회적인 추세에 따라 재료가 보다 협악한 조건화에서 사용된다는 사 실은 최근에는 일만상식처럼되고 있다 따라서 험악한 장소에서 파괴가 발생한다면 최악이 경우는 인명을 위협하기도 한다. 이와같은 일반사항을 고려하여 본강좌(4) 에서는 특히 부식되기쉬운 장 소에서 부재가 사용되었을 때의 부식피로에 대하여, 극히 일반적인 사항을 간추려보기로 하겠다.

• Journal of the KSME
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• v.32 no.4
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• pp.340-350
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• 1992

이 글에서는 재료의 경년열화의 종류, 판정 방법 등에 관한 일반사항을 기술하고 고온 . 고압용 기의 경년열화현상의 대표적인 예인 T.E의 기구와 T.E감수성에 미치는 화학성분의 영향에 대해 설명하였다. 아울러 필자가 그 동안 연구해온 T.E에 의한 재료강도저하를 설명하고 수명예측을 행할 수 있는 방법을 설명하였다. 끝으로 열화의 비파괴 판정만으로 수명예측이 어려우므로 시 간에 따른 열화 정도를 파악 할 수 있는 재료강도의 주곡선을 만들어야 할 것이다. 이와 같은 실험을 하기 위해 열화재의 가속제작방법과 열화치료대책 등에 대해 설명하였다. 앞으로 국내 에서는 열화에 대한 재료강도의 주곡선이 많이 얻어져서 기계 구조물의 수명예측이 정확하게 이루어질 날이 올 것을 기대한다.