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이정일,임재훈,이창홍,민영일,유지홍,임규성 대한소화기내시경학회 1981 Clinical Endoscopy Vol.1 No.1
We analyzed ERCP findings of 15 patients with clonorchiasis, that were confirmed by stool examination and operation from May, 1976 to September, 1980. The results were as follows. 1) Filling defects due to adult worm of clonorchis sinensis were significant direct findings of clonorchiasis. 2) Irregular stenosis, fuzziness, raggedness, peripheral dilation and disturbance of peripheral filling of intrahepatic bile ducts were significant indirect findings of clonorchiasis. 3) ERCP was excellent method to evaluate biliary tree in patients with clonorchiasis, who showed obstructive jaundice.
이정일,조성배 대한안전경영과학회 2022 대한안전경영과학회지 Vol.24 No.4
Forest fires in Korea usually start in the fall and occur every year until spring. Most wildfires are human resources that combine topographical characteristics and carelessness, and failure to respond in the initial stage and lack of cleanup are spreading to large-scale wildfires. In order to prevent these wildfires, active cooperation from the public is essential. As can be seen from recent wildfires, the attention of the public is needed above all else because large-scale wildfires in Korea are occurring due to the people's negligence. If a wildfire spreads and becomes large, it causes damage to life and property, and the damage is irreversible. In this study, various methods were used to prevent forest fires and improve initial suppression ability. In order to minimize damage, the model analyzed by the 119 Special Rescue Team in Gangwon, Chungcheong and nearby forest fires was analyzed on the combustion progress and wind direction by time period. The propagation speed by the wind direction was simulated. Until now, most of the wildfires have been extinguished by firefighting, but I hope that the Forest Service will take the lead and maintain coordination with related organizations.
포스터 전시 : 담도,췌장 ; 만성 특발성 변비와 특발성 거대결장에서 S자 결장벽내 카할 간질 세포의 밀도
이정일,박효진,이상인,박인서 대한소화기학회 2002 대한소화기학회 춘계학술대회 Vol.2002 No.-
<목적> 카할 간질 세포(interstitial cell of Cajal, ICC)는 위장관의 조율기 세포로서 작용하는 것으로 알려져 있고, 위장관의 운동성 질환과도 관련 있다는 실험 결과들이 보고되어 있다. 또한 만성 특발성 변비의 정확한 병태생리를 규명하는 노력이 진행중인데, 최근 이 질환에서 ICC의 분포가 감소되어 있다는 보고가 있으나, 보고에 인용된 개체수가 적은 바, 확인 작업이 더 필요한 상태이다. 이에 연자 등은 만성 특발성 변비 환자와
이정일 대한안전경영과학회 2022 대한안전경영과학회지 Vol.24 No.4
Mt. Umyeon is a low-altitude mountain near a residential area, and the actual forest area is not large due to the fact that development for use as a living green space is being completed and in progress across the mountain, so the buffering action for landslides was weak. The unit was located at the top of Mt. Umyeon, and there were reports of contents related to the military unit in some accident areas. Some experts suggested that the landslide that started on the cut side of the unit could be one of the causes of the landslide at Mt. Umyeon. It is presumed that there was a sudden collapse of trees that had fallen due to erosion inside the valley. In the case of the Umyeon landslide, localized torrential rain is the biggest cause, but the fact that it suffered a lot of damage is the result of no preemptive measures. In particular, it can be said that the damage was caused by the concentration of residential and commercial facilities due to the unplanned urban expansion without prior review of the feng shui geography of settlement areas. The important lesson we have learned is that we should recognize nature as living things and live in harmony and coexistence between humans and nature through understanding and cooperation. Adapting to changes in the environment can survive, but if it doesn't, it will be slaughtered. As such, geography influences changes in feng shui. Changes in feng shui have a profound effect on not only humans but also the natural ecosystem.
이정일,이철민,심인근,김성미,이우석,김윤신 한국실내환경학회 2012 한국실내환경학회지 Vol.9 No.4
This study investigated the effect of smoking on Indoor Air Quality in smoking allowed buildings. Total 26 buildings(Restaurants 3, Billiards 4, Karaokes 6, Golfs 7, Pubs 6) were surveyed for nicotine, PM10, CO2, CO, NO2, HCHO, TVOCs, benzene, toluene, ethylbenzene, styrene and xylene at quiet and busy time, respectively. The concentrations of nicotine, PM10, CO2 and benzene were significantly higher(p10, CO2, HCHO and TVOCs. Our results show that smoking-ban legistration should be introduced to improve Indoor Air Quality.
TCN 딥러닝 모델을 이용한 최대전력 예측에 관한 연구
이정일 한국정보처리학회 2023 정보처리학회논문지. 소프트웨어 및 데이터 공학 Vol.12 No.6
It is necessary to predict peak load accurately in order to supply electric power and operate the power system stably. Especially,it is more important to predict peak load accurately in winter and summer because peak load is higher than other seasons. If peakload is predicted to be higher than actual peak load, the start-up costs of power plants would increase. It causes economic loss to thecompany. On the other hand, if the peak load is predicted to be lower than the actual peak load, blackout may occur due to a lackof power plants capable of generating electricity. Economic losses and blackouts can be prevented by minimizing the prediction errorof the peak load. In this paper, the latest deep learning model such as TCN is used to minimize the prediction error of peak load. Evenif the same deep learning model is used, there is a difference in performance depending on the hyper-parameters. So, I propose methodsfor optimizing hyper-parameters of TCN for predicting the peak load. Data from 2006 to 2021 were input into the model and trained,and prediction error was tested using data in 2022. It was confirmed that the performance of the deep learning model optimized bythe methods proposed in this study is superior to other deep learning models. 안정적으로 전력을 공급하고 전력계통을 운영하기 위해서는 최대전력을 정확히 예측해야 한다. 특히, 최대전력이 높게 발생하는 겨울과 여름에는그 중요성이 매우 커진다. 최대전력을 실제 수요보다 높게 예측하면 발전소 기동 비용이 증가하여 경제적 손실이 발생하고, 최대전력을 실제 수요보다낮게 예측하면 기동이 가능한 발전소가 부족하여 정전이 발생할 수 있다. 최대전력의 예측 오차를 최소화함으로써 경제적 손실과 정전을 예방할수 있다. 본 논문에서는 최대전력 예측의 오차를 최소화하기 위하여 최신 딥러닝 모델인 TCN을 이용한다. 딥러닝 모델은 하이퍼 파라미터를 어떻게설정하느냐에 따라 성능 차이가 발생하므로, TCN의 하이퍼 파라미터를 최적화하는 방법을 제안한다. 2006년부터 2021년까지의 데이터를 입력하여모델을 훈련하고, 2022년의 데이터를 이용하여 예측 오차를 실험하였다. 실험을 수행한 결과 본 논문에서 제안한 최적화 방법을 이용한 TCN 모델의성능이 다른 딥러닝 모델보다 성능이 우수한 것을 확인하였다.