• Advances in Energy Research
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• 제3권2호
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• pp.71-80
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• 2015

This paper describes nuclear energy technologies for the solution of long term energy problem with better reliability. A short overview about nuclear energy applications are explained with a basic analysis of energy. Furthermore, industrial application, space application of nuclear systems and ship propulsion in nuclear energy application are demonstrated in more detail. This report also includes some examples of the experienced nuclear power plant to identify energy production. The general purpose of the article is to understand how efficiently nuclear systems generates energy, and solve the world's increasing energy demand in our century.

• 경영과학
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• 제28권3호
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• pp.1-13
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• 2011

Hub-and-spoke transportation network is a powerful and useful network structure that takes full advantage of economies of scale on routes between hubs. In recent studies, the network structure is extended to hybrid hub-andspoke that allows direct transportation between spokes. In this study, we considered more extended network structure which is called hybrid multiple hub-and-spoke that has multiple hubs and allows direct transportation between spokes. We developed a mathematical optimization model for automotive service parts transportation planning under hybrid multiple hub-and-spoke network structure. The model suggests a long-term transportation route planning and a short-term vehicle assignment planning. The model is verified by simulation and validated in real world application to Hyundai Mobis automotive service parts transportation planning. From the simulation result, the model reduced the transportation cost about 24.7%, the total distance about 6.8% and the CO2 emissions about 8.8%. In real world application for 6 months from July to December 2010, the model reduced the transportation cost about 9.1% by changing the long-term transportation route without daily vehicle assignment planning.

• 한국농공학회지
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• 제29권2호
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• pp.53-63
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• 1987

Due to their wide range of application, deterministic comprehensive hydrologic models using digital computers have been developed in all countries of the world and researches are being undertaken for their appropriate applications. The aim of this study has been to demonstrate the practical implementation of a physically based distributed hydrologic model, the USDAHL-74 model and to investigate its ability to simulate the long term estimate of water balance quantities in a Korean mountainous watershed. Application of the model to Dochuk watershed indicates the following results. 1.Since the USDAHL-74 model includes all the major components of the hydrologic cycle in agricultural watersheds, thus is comprehnsive, the model seems to have a wide range of application from the fact that simulation results obtained are not only runoff volumes m various time units but their spatial variation as well as even soil moisture within the watershed. 2.An approximate calibration to determine the parameter values in the model using various data obtained from D0chuk shed shows that the simulation error of yearly runoff volume is only 0.6 % and a correlation coefficient between observed daily runoff volume and simulated one is 0.91 in all calibrated period.3.As a verification test of the model, runoff volumes are simulated using 1986 year data without changing the parameter values determined by 1985 year data. The tests show that the USDAHL-74 model is a flexible tool and that realistic production to simulate the long term estimate of runoff in Korean mountainous watershed could be obtained using only a short period of calibration.4. Despite of the encouraging results, there still remain minor problems concerning the practical application of the model to improve the result of simulations. Some of these are the small descrepancies between observed and simulated daily runoff volume appeared in the vicinity of peaks and the recession of1 the daily hydrographs and the model performance for the frozen ground and melting process in the model. 5. Alough the use of parameter with physical significance and the ability to improve calibrations on the basis of physical reasoning represents advantages in the simulation for ungaged watersheds, further researches are needed to use the USDAHL-74 mode to simulate runoff in ungaged watersheds.

• 한국환경농학회지
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• 제37권1호
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• pp.9-14
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• 2018

BACKGROUND: The use of green manure and compost as organic fertilizer may increase crop yield and soil fertility due to improved soil nutrient availability and soil organic matter content (SOM). This study aimed to investigate the effects of hairy vetch (Vicia villosa L.) and compost application on red pepper growth, yield, fruit quality and soil health. METHODS AND RESULTS: The treatments were no fertilizer (CON), chemical fertilizer (CF), hairy vetch (HV), and livestock compost+HV (LC+HV). Red pepper seedlings (70 days old) were transplanted and maintained in experimental plots for 140 days. Plant dry weight, micro- and macronutrient contents of plants and soil chemical properties were determined. All fertilizer treatments significantly increased plant dry weight. Fruit yield was significantly highest with HV treatment. As for nutrient content, plants in HV and LC+HV treatments have significantly higher K and Ca contents than the other treatments. Regarding soil properties, HV and LC+HV application significantly altered the soil chemical properties. Significantly higher SOM was observed in HV and LC+HV treated soils. CONCLUSION: The results of this study suggest that short-term application of hairy vetch and compost is an effective alternative to the conventional chemical fertilizer to increase fruit yield red pepper and improve soil health.

• 대한물리의학회지
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• 제8권3호
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• pp.295-302
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• 2013

PURPOSE: The purpose of this study was to investigate the effect of short-term lumbar stabilization exercise to patients suffering from chronic low back pain(CLBP) on the strength of their lumbar flexor and extensor and the postural balance of them and to suggest effective treatment duration for them. METHODS: Study subjects were 20 patients with CLBP who's been reported the pain for more than 12 weeks. For these subjects, muscle strength of both extensor and flexor of lumbar and the balancing ability were measured before and after the intervention. Lumbar stabilization exercise was composed of matt, ball and sling exercise. The intervention was applied for total 12 sessions for 4 weeks (3 times a week) and each session was for 40 minutes. RESULT: For muscle strength of both extensor and flexor of lumbar, there was significant differences after the application of lumbar stabilization exercise(p<.05). For balancing ability, stabilization shows significant differences in all of the positions except PC(eyes closed on pillows)(p<.05). Distribution of weight shows no significant differences but it was generally distributed within normal range after the exercise and Fall index shows significant differences between before and after the exercise(p<.05). CONCLUSION: These results could have positive effect on deciding different periods of therapeutic intervention.

• 한국ITS학회 논문지
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• 제14권4호
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• pp.18-26
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• 2015

본 연구에서는 새마을 무궁화 열차의 주요 5개노선(경부선, 호남선, 전라선, 장항선, 중앙선)의 단기수송수요의 예측모형 선정방안을 제시하고 유용성을 확인하기 위한 검증결과를 제시하였다. 분석을 위해 계절별 특성이 반영된 SARIMA 모형을 이용하였으며, 주중/주말 통행 특성 및 대체근무제 등과 같은 공휴일 특성을 반영하고자 각 노선별 주중/주말 일평균 모형을 각각 구축하였다. 또한 모형의 신뢰도를 높이기 위해 EXPO 개최, 새로운 노선의 개통 등 노선별 개입요소를 고려하여 수송수요의 예측모형에 반영하였으며 모형 예측력의 검증을 통해 정도 높은 모형을 구축하였음을 확인하였다. 본 연구를 통해 개발된 모형은 열차 노선별 단기운행계획 수립을 위한 기초자료로 활용될 수 있을 것으로 기대된다.

• 한국수자원학회논문집
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• 제38권1호
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• pp.11-23
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• 2005

본 연구에서는 단기 예측강우를 활용하여 실시간 유량을 예측할 수 있는 기상-수자원 연계기법을 개발하였다. 이를 위해 기상청의 RDAPS 강수자료와 저류함수(SFM) 모델을 통해 소양강댐 상류유역의 댐유입량을 계산하고 그 정확도를 분석하였다. 대상 사례기간인 2003년 7월 18일부터 2003년 7월 24일까지 RDAPS 강우예측자료의 정확도를 평가한 결과 RDAPS 및 관측 강수량 사이의 정성적 평가에서 매우 우수한 정확도를 보이고, 수자원 측면에서 필요한 정량적 성격을 충족시키는 것으로 나타났다. RDAPS-SFM 연계기법을 통한 하천유량 계산에서도 그 정확도가 비교적 높은 것으로 검토되어 현재의 하천 유량 예측에서 기상 수치예보자료의 활용성은 매우 높은 것으로 사료된다.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2022년도 춘계학술대회
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• pp.322-323
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• 2022

정수장의 최적화 운영을 위하여 가장 필요한 것은 수용가에서 사용되는 수돗물의 패턴과 양을 정확하게 예측하여 필요한 만큼의 수돗물을 펌프를 이용하여 배수지로 전달하여 저장하고, 필요한 유량이 최소의 전기에너지를 이용하여 적기에 공급되어야 한다. 정수장의 수량 예측 중 에너지 최적화 운영의 관점에서 필요한 단기 수요예측은 시계열 분석, 회귀분석 및 신경망 알고리즘을 이용하여 계절별, 주요 기간별, 지역 특성별 등을 고려하여 이루어져 왔으며, 본 논문에서는 순환적 신경회로망의 일종인 LSTM(Long Short-Term Memory), GRU(Gated Recurrent Units) 등의 AI 기반 복합센서 적용성 분석을 통한 에너지 관리 방안에 대하여 분석하였다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2021년도 학술발표회
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• pp.136-136
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• 2021

In this study, a deep convolutional neural network (DCNN) model is proposed for short-term precipitation forecasting using weather radar-based images. The DCNN model is a combination of convolutional neural networks, autoencoder neural networks, and U-net architecture. The weather radar-based image data used here are retrieved from competition for rainfall forecasting in Korea (AI Contest for Rainfall Prediction of Hydroelectric Dam Using Public Data), organized by Dacon under the sponsorship of the Korean Water Resources Association in October 2020. This data is collected from rainy events during the rainy season (April - October) from 2010 to 2017. These images have undergone a preprocessing step to convert from weather radar data to grayscale image data before they are exploited for the competition. Accordingly, each of these gray images covers a spatial dimension of 120×120 pixels and has a corresponding temporal resolution of 10 minutes. Here, each pixel corresponds to a grid of size 4km×4km. The DCNN model is designed in this study to provide 10-minute predictive images in advance. Then, precipitation information can be obtained from these forecast images through empirical conversion formulas. Model performance is assessed by comparing the Score index, which is defined based on the ratio of MAE (mean absolute error) to CSI (critical success index) values. The competition results have demonstrated the impressive performance of the DCNN model, where the Score value is 0.530 compared to the best value from the competition of 0.500, ranking 16^th out of 463 participating teams. This study's findings exhibit the potential of applying the DCNN model to short-term rainfall prediction using weather radar-based images. As a result, this model can be applied to other areas with different spatiotemporal resolutions.

• 재활치료과학
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• 제7권3호
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• pp.47-58
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• 2018

목적 : 본 연구의 목적은 경도 치매 노인의 주의 집중력과 기억력 향상을 위한 아이패드 어플리케이션 중재법의 효과를 알아보기 위함이며, 중재법의 효과를 통하여 임상현장의 작업치료사에게 근거를 제시하고자 한다. 연구방법 : 경도 치매 노인 한 명을 대상으로 단일대상연구 중 ABA 설계로 연구를 진행하였다. 총 20회기를 기초선 A 5회기, 중재기 B 10회기, 기초선 A' 5회기로 나누어서 각 회기별 30분씩 진행되었다. 중재기 때는 'Memorado-움직이는 공, '와 'Circles'라는 두 어플리케이션으로 주의 집중력 및 기억력 훈련을 실시하였고, 매 회기마다 Fit Brains의 '짝 맞추기, '와 '틀린 그림 찾기'로 주의 집중력과 기억력 수준의 변화를 평가하였다. 또한 사전 및 사후 평가로 한국판 노인형 기호잇기검사, 숫자외우기 검사, 한국판 간이 정신상태 검사를 실시하였다. 결과 : Fit Brains '짝 맞추기'와 '틀린 그림 찾기'를 매 회기 시행해본 결과 중재기부터 주의 집중력과 기억력이 향상되는 것을 확인할 수 있었다. 사전 및 사후 평가로 실시된 한국판 노인형 기호잇기검사는 전, 후 대비 A형의 경우 정답 수 3점 증가, 오류 수 3점 감소, B형의 경우 정답 수 7점 증가, 오류 수 2점 감소를 보여 점수변화를 나타냈으나, 숫자외우기 검사와 한국판 간이 정신상태 검사에서는 점수 변화가 미미하였다. 결론 : 본 연구는 아이패드 어플리케이션 중재방법을 통해 경도 치매 노인의 집중력과 기억력의 향상을 확인하였고, 추후 연구에서는 다양한 어플리케이션과 더 많은 표본을 대상으로 장기간 진행될 필요가 있을 것이다.