• Journal of Chest Surgery
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• v.43 no.1
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• pp.96-99
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• 2010

Artificial lung support may be necessary in various conditions during the performance of bilateral lung transplantation, and cardiopulmonary bypass (CPB) has usually been used. Yet using the conventional CPB techniques may increase risk of bleeding and early allograft dysfunction due to the large dosages of heparin and the complement activation. Extracorporeal membrane oxygenation (ECMO) is able to support gas exchange and maintain the hemodynamics without administering high-dose heparin for anticoagulation. We performed sequential bilateral lung transplantation with ECMO support. ECMO is a valuable tool when performing lung transplantation and it has the potential to replace CPB.

• Journal of Chest Surgery
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• v.32 no.1
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• pp.53-57
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• 1999

We describe a case of successful extracorporeal membrane oxygenation(ECMO) in a small infant with cardiopulmonary resuscitation(CPR) failure after an open heart surgery. A 35-day-old male infant weighing 4.4 kg who had congestive heart failure and pulmonary hypertension underwent patch closure of ventricular septal defect without any intraoperative event. Postoperative course was unremarkable in the intensive care uint for about 5 hours before the junctional ectopic tachycardia developed. Sudden cardiac decompensation with bradycardia occurred about 50 minutes after the development of junctional ectopic tachycardia. He was put on ECMO by arterial cannulation at the ascending aorta and by venous cannulation at the right atrial appendage after 4 hours' CPR. The hemodynamics were stable with enough urine output during ECMO. He was weaned from ECMO 38.5 hours after initiation. Delayed sternal closure was attempted. He was extubated on postoperative day 7 and discharged home on postoperative day 21 without any neurologic sequelae.

• Archives of design research
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• v.15 no.1
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• pp.399-406
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• 2002

There have been diverse discourses arguing that new design has been emerging in the 21 st century. However, there have been very few trials to identify systematically the characteristics_of new design paradigm and to develop new design educational program based on them. Thus, this paper aims at development of strategy of new design educational program according to the characteristics of new design paradigm. At first, design is viewed as part of 'culture'and the structure of culture is identified: 'Artifact', 'Value', and 'Basic Assumptions'. Similarly, design is found to comprise of three fundamental attributes: 'Function', 'Aesthetics','Symbolic'. These levels are shown to be in the relation of mutually recycling influences. These structural framework is used to understand the design methods and qualification of designers over the development of design paradigms: vernacular design, machine age, and information-knowledge age. The result leads the list of requirements of new educational design program: 'Human-Centered','Situation-Based','User-Participatory', and 'Intangible'. The model of strategy of new educational design program is developed and proposed.

• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.435-440
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• 2010

최근 하천의 기능이 다양화되면서 물 사용 및 배분과 관련하여 각종 갈등이 첨예화 되면서 수리권에 대한 체계적인 정리가 필요하게 되었다. 특히, 각종 수리권의 적용 범위나 한계를 논하기 위해서는 근본적으로 하천의 자연유량과 인공유량에 대한 이해가 우선되어야 하는데 이는 수리권의 본질을 이해하는데 기본적인 사항이다. 하천의 수질개선은 오염원을 저감 또는 제거하는 것과 하천의 유량을 증가시키는 것이다. 특히, 수질개선(Water Quality Improvement)이라는 목표를 달성하기 위해 도입된 물이용부담금제도가 "수질개선사업의 범위가 어디까지인가?"라는 근본적 질문에 대한 명확한 정의가 이루어지지 않는 경우 향후 물이용부담금 제도의 효용성은 저하될 수 밖에 없다. 하천의 수질개선은 세가지 메커니즘에 의해 달성할 수 있는데, 첫번째 메커니즘은 하천의 수량이 일정할 때 하천에 유입되는 또는 유입된 오염물질을 저감시킴으로써 수질개선을 달성하는 것이다. 즉, 유입 오염물질을 제거, 저감하기 위한 하수처리시설의 설치, 운영, 습지 조성, 하천에 유입된 쓰레기나 오염물질의 제거 노력 등을 통한 수질개선이 이에 해당한다. 두번째 메커니즘은 오염원 저감측면이 아닌 하천의 유량을 풍부하게 함으로써 수질개선을 달성하는 것이다. 즉, 일반적으로 확보되는 하천의 유량보다 더 많은 유량을 하천에 흐르게 함으로써 하천 스스로의 자정능력을 키우고 오염물질의 농도를 희석함으로써 수질을 개선하는 방법이다. 해마다 발생하는 하천의 수질오염사고시 다목적댐이나 용수댐에서 희석수를 대량 방류함으로써 수질 사고를 해결하는 경우가 이에 해당한다. 또 하나의 메커니즘은 미래의 오염원이 되는 비점오염원(축산가구, 도로 산림 등)의 소산 노력 등을 통한 적극적인 수질개선이 이에 해당한다. 하천의 수질개선은 이 세가지 메커니즘이 병행하여 작용될 때 그 효과를 최적으로 달성할 수 있다. 향후 물 관리는 빗물 - 댐 하천 - 상수도 - 하수도 - 해수 등 물 순환의 전체 체계에서 이루어져야 하고 효율적인 물 관리를 위해서는 '수량 수질의 통합관리'가 불가피하다는 점에서 물이용부담금의 수량측면에 대한 이해는 물 관리의 효율성을 높이는 중요한 요소이다.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.7 no.4
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• pp.247-256
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• 2002

Distribution of surface and suspended sediments was studied to understand sedimentary processes of finegrained sediment near the cooling water intake of Pyongtaek power plant on the west coast of Korea. The grainsize of surface sediment during the winter was coarser in the opened northern area than sheltered southern area. During the summer, finer sediment was found in the east (landward) than west due under dominantly the influence of tidal current. The concentration of suspended sediments was higher in the winter than summer and in the mid- to deep waters than surface waters. Asymmetry of tidal current induced net landward transport of suspended sediments. Landward transport of suspended sediments was most significant at the beginning of flood time when water level is low. Net suspended sediment fluxes ranged from 3.4$\times$10$^{-3}$ kg.m$^{-2}$ .s$^{-1}$ to 5.7$\times$10$^{-3}$ kg.m$^{-2}$ .s$^{-1}$ This large landward transport of suspended sediments is attributable to combination of enhanced flow induced by intake of cooling water and artificial structures near the water intake.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.9
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• pp.4257-4260
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• 2011

Hot spring water is underground water which naturally flows out to the earth's surface or is drilled for artificially and the water temperature should be higher than the region's average temperature for the year or underground water temperature of the earth's shallow strata of the region. Our nation stipulates that hot spring can be called if it is over $25^{\circ}C$. Generally, it is widely know that hot spring water has an effect on blood circulation, pain alleviation, soothing, and skin care and that its efficacy is mainly due to water temperature and a variety of minerals contained in water. The Onyang springs are the oldest spring district in our country and one of the most typical hot springs in this country. The current study found that there's no skin irritation through the skin irritation test applying hot spring water to cosmetic formulas, and that products using Onyang hot spring water showed an increase of 8.56% in epidermal water rate and a decrease of -67.74% in relative transepidermal water loss(TEWL), which indicates that cosmetics using Onyang hot spring water has an effecton skin improvement.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.228-228
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• 2018

강변여과는 지하수 인공함양 방식 중 유도함양(induced recharge) 또는 간접함양 방식에 속한다. 이는 하천 및 강변 부근에 집수시설을 설치한 후, 미고결층 대수층(unconsolidated aquifer)의 자연 오염 저감능을 이용하여 지표수를 간접 취수하는 방식으로 수질이 불량한 지표수가 대수층을 관류하면서 희석, 화학적 이온 교환 및 반응, 흡착, 생물막(biofilm; 미생물에 의한 자연저감), 여과 등을 통하여 수질이 개선된다. 강변여과수내의 용존 농도가 높은 철과 망간은 수처리 비용증가, 용수관정 및 시설물의 수명단축을 초래한다. 따라서 강변여과 지역의 미고결 대수층에서 효과적인 철과 망간 동시 제거(vyredox)를 위해 에어서징(air surging)과 블록 서징(block surging)을 실시하기 위해서 실내 물탱크 모델(water tank model)에서 에어서징에 따른 공기 순환 우물시스템을 관찰하였으며, 이를 바탕으로 현장시험(Test bed)에 적용하였다. 미고결 대층수층에서의 철 망간은 음용수 기준치(각각 0.3 mg/L)를 초과하고 있으며, 강변여과 취수 개발 및 이용을 제한하는 요인이 되고 있다. 본 연구에서 사용된 에어서징과 블록서지 기술은 자갈층 및 미고결 대수층에 충진된 슬라임 및 폐색(clogging)을 제거함과 동시에 관정 주변의 대수층의 투수성 개선과 산화환경으로 치환되며, 대수층에 잔존하는 철/망간의 산화물들을 관정내로 빼낼 수 있는 방법이다. 따라서 서징에 따른 폐색 제거효율을 검토한 결과에서 철 망간 이온농도 저감효과와 관정 주변의 수리전도도(hydraulic conductivity) 및 저류계수(coefficient of storage)가 증가한 것으로 나타났다. 이와 같이 강변여과에 의한 폐색은 미고결층내 공기주입 및 블록서지를 통하여 철/망간 이온농도 저감 및 수리특성 개선 효과에 유용한 것으로 평가된다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.4
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• pp.161-167
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• 2019

Recently, demand forecasting techniques have been actively studied due to interest in stable power supply with surging power demand, and increase in spread of smart meters that enable real-time power measurement. In this study, we proceeded the deep learning prediction model experiments which learns actual measured power usage data of home and outputs the forecasting result. And we proceeded pre-processing with moving average method. The predicted value made by the model is evaluated with the actual measured data. Through this forecasting, it is possible to lower the power supply reserve ratio and reduce the waste of the unused power. In this paper, we conducted experiments on three types of networks: Multi Layer Perceptron (MLP), Recurrent Neural Network (RNN), and Long Short Term Memory (LSTM) and we evaluate the results of each scheme. Evaluation is conducted with following method: MSE(Mean Squared Error) method and MAE(Mean Absolute Error).

• Database Research
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• v.34 no.3
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• pp.3-13
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• 2018

Text classification is one of the text mining technologies that classifies a given textual document into its appropriate categories and is used in various fields such as spam email detection, news classification, question answering, emotional analysis, and chat bot. In general, the text classification system utilizes machine learning algorithms, and among a number of algorithms, naïve Bayes and support vector machine, which are suitable for text data, are known to have reasonable performance. Recently, with the development of deep learning technology, several researches on applying deep neural networks such as recurrent neural networks (RNN) and convolutional neural networks (CNN) have been introduced to improve the performance of text classification system. However, the current text classification techniques have not yet reached the perfect level of text classification. This paper focuses on the fact that the text data is expressed as a vector only with the word dimensions, which impairs the semantic information inherent in the text, and proposes a neural network architecture based upon the semantic tensor space model.

• Smart Media Journal
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• v.11 no.4
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• pp.19-29
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• 2022

Recently, with the development of IoT technology, the number of farms using smart farms is increasing. Smart farms monitor the environment and optimise internal environment automatically to improve crop yield and quality. For optimized crop cultivation, researches on predict crop productivity are actively studied, by using collected agricultural digital data. However, most of the existing studies are based on statistical models based on existing statistical data, and thus there is a problem with low prediction accuracy. In this paper, we use various predition models for predicting the production and sales profits, and compare the performance results through models by using the agricultural digital data collected in the facility horticultural smart farm. The models that compared the performance are multiple linear regression, support vector machine, artificial neural network, recurrent neural network, LSTM, and ConvLSTM. As a result of performance comparison, ConvLSTM showed the best performance in R2 value and RMSE value.