• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2023년도 학술발표회
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• pp.168-168
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• 2023

The frequent occurrence of cyanobacterial harmful algal blooms (CHABs) in inland waters under climate change seriously damages the ecosystem and human health and is becoming a big problem in South Korea. Satellite remote sensing is suggested for effective monitoring CHABs at a larger scale of water bodies since the traditional method based on sparse in-situ networks is limited in space. However, utilizing a standalone variable of satellite reflectances in common CHABs dual-models, which relies on both chlorophyll-a (Chl-a) and phycocyanin or cyanobacteria cells (Cyano-cell), is not fully beneficial because their seasonal variation is highly impacted by surrounding meteorological and bio-environmental factors. Along with the development of Artificial Intelligence (AI), monitoring CHABs from space with analyzing the effects of environmental factors is accessible. This study aimed to investigate the potential application of AI in the dual-model strategy (Chl-a and Cyano-cell are output parameters) for monitoring seasonal dynamics of CHABs from satellites over Korean inland waters. The Sentinel-3 satellite was selected in this study due to the variety of spectral bands and its unique band (620 nm), which is sensitive to cyanobacteria. Via the AI-based feature selection, we analyzed the relationships between two output parameters and major parameters (satellite water-leaving reflectances at different spectral bands), together with auxiliary (meteorological and bio-environmental) parameters, to select the most important ones. Several AI models were then employed for modelling Chl-a and Cyano-cell concentration from those selected important parameters. Performance evaluation of the AI models and their comparison to traditional semi-analytical models were conducted to demonstrate whether AI models (using water-leaving reflectances and environmental variables) outperform traditional models (using water-leaving reflectances only) and which AI models are superior for monitoring CHABs from Sentinel-3 satellite over a Korean inland water body.

• 한국산업정보학회논문지
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• 제29권3호
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• pp.51-65
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• 2024

스마트 그리드에서 전력 시스템을 효과적으로 운영하기 위해서는 전력 수요량을 정확히 예측하는 것이 중요하다. 최근 기계학습 기술의 발달로, 인공지능 기반의 전력 수요량 예측 모델이 활발히 연구되고 있다. 하지만, 기존 모델들은 모든 입력변수를 수치화하여 입력하기 때문에, 이러한 수치들 사이의 의미론적 관계를 반영하지 못해 예측 모델의 정확도가 하락할 수 있다. 본 논문은 입력 데이터에 대하여 거대언어모델을 통해 추출한 특징을 이용하여 단기 전력 수요량을 예측하는 기법을 제안한다. 먼저, 입력변수를 문장 형식의 프롬프트로 변환한다. 이후, 가중치가 동결된 거대언어모델을 이용하여 프롬프트에 대한 특징을 나타내는 임베딩 벡터를 도출하고, 이를 입력으로 받은 모델을 학습하여 예측을 수행한다. 실험 결과, 제안 기법은 수치형 데이터에 기반한 예측 모델에 비해 높은 성능을 보였고, 프롬프트에 대한 거대언어모델의 주의집중 가중치를 시각화함으로써 예측에 있어 주요한 영향을 미친 정보를 확인하였다.

• KIEAE Journal
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• 제12권4호
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• pp.77-82
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• 2012

This study conducted the experiment of reduction of Volatile Organic Compounds(VOCs) and Formaldehyde concentration by Native plants, Fatsia japonica and Ardisia pusilla. The two plants are advantageous in that they are highly available as they grow wild, and being easy to get. Fatsia japonica is a plant of its wide and large leaf diverged 7 or 8 parts, which is thought to have a high effect of air purification. Ardisia pusilla has a smaller leaf than Fatsia japonica, which is characterized by more leaves and beautiful. Field measurements were performed using Fatsia japonica and Ardisia pusilla which were verified as air-purifying plants in Korea. The effect of reducing the concentration of VOCs and Formaldehyde by plant studied in a full scale mock-up model. The dimensions of the two models were equal. The concentration of Benzene, Toluene, Ethylbenzene, Xylene, Stylene, Formaldehyde were monitored, since they were known as most toxic materials. The concentration of VOCs was monitored three hours after the plants were placed and three days after the plants were placed. Field measurements were performed in models where the plants were placed and were not. As a result, they had all an effect of reducing pollution. In all cases of experiment of planting and growing volume, the more planting volume, the more excellent the effect. Toluene was more effective in Fatsia japonica and Ardisia pusilla planted, Formaldehyde was more effective in Fatsia japonica planted respectively. In planting and growing and placing experiment, the placement at sunny spot was more effective than that at scattered growing. When Fatsia japonica was placed at sunny spot, the reduction effect of Formaldehyde was the most excellent, and when Ardisia pusilla was placed at sunny spot, the reduction effect of Toluene was the most effective.

• 대한조선학회지
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• 제27권2호
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• pp.1-12
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• 1990

선미후류에 포함된 보오텍스 시스템과 프로펠러와의 상호작용을 이론적으로 해석하여 유효반류를 계산하는 방법을 제안하였다. 선미주위의 복잡한 유동을 Poincare의 방정식을 사용하여 수학적으로 표시하였고 임의의 점에서의 교란속도를 물체 표면에 분포되어 있는 쏘오스 및 보오텍스에 의한 유기속도의 표면적분과 유체중 위치하는 쏘오스 및 보오텍스에 의한 유기속도의 체적적분의 함으로 표시하였다. 이 식으로부터 유효속도(effective velocity)를 유체중 보오텍스에 의한 유기속도의 체적적분으로 정의하였다. 유체중의 보오텍스의 위치와 세기는 불균일한 호칭속도(nominal velocity)분포에 포함되어 있는 보오텍스로부터 프로펠러가 작동할 때의 유선변화를 고려하여 보오텍스 운동역학(vortex dynamics)을 만족하도록 결정된다. 이론을 검증하기 위한 계산예로써 축대칭 전단류(shear flow)중 원판형 추진장치가 작동할 때 프로펠러에 의한 유선변화 모형을 변화시켜 유효속도를 계산하였고 양력판 이론에 의한 값과 비교하였다.

• Computers and Concrete
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• 제26권2호
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• pp.127-136
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• 2020

There is an inherent randomness for concrete microstructure even with the same manufacturing process. Meanwhile, the concrete material under the aqueous environment is usually not fully saturated by water. This study aimed to develop a stochastic micromechanical framework to investigate the probabilistic behavior of the unsaturated concrete from microscale level. The material is represented as a multiphase composite composed of the water, the pores and the intrinsic concrete (made up by the mortar, the coarse aggregates and their interfaces). The differential scheme based two-level micromechanical homogenization scheme is presented to quantitatively predict the concrete's effective properties. By modeling the volume fractions and properties of the constituents as stochastic, we extend the deterministic framework to stochastic to incorporate the material's inherent randomness. Monte Carlo simulations are adopted to reach the different order moments of the effective properties. A distribution-free method is employed to get the unbiased probability density function based on the maximum entropy principle. Numerical examples including limited experimental validations, comparisons with existing micromechanical models, commonly used probability density functions and the direct Monte Carlo simulations indicate that the proposed models provide an accurate and computationally efficient framework in characterizing the material's effective properties. Finally, the effects of the saturation degrees and the pore shapes on the concrete macroscopic probabilistic behaviors are investigated based on our proposed stochastic micromechanical framework.

• Computers and Concrete
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• 제21권1호
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• pp.67-74
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• 2018

A differential scheme based micromechanical framework is proposed to obtain the effective properties of the saturated concrete repaired by the electrochemical deposition method (EDM) considering the interfacial transition zone (ITZ) effects. The constituents of the repaired concrete are treated as different phases, consisting of (micro-)cracks, (micro-)voids and (micro-)pores (occupied by water), deposition products, intrinsic concrete made up by the three traditional solid phases (i.e., mortar, coarse aggregates and their interfaces) and the ITZs. By incorporating the composite sphere assemblage (CSA) model and the differential approach, a new multilevel homogenization scheme is utilized to quantitatively estimate the mechanical performance of the repaired concrete with the ITZs. The CSA model is modified to obtain the effective properties of the equivalent particle, which is a three-phase composite made up of the water, deposition products and the ITZs. The differential scheme is employed to reach the equivalent composite of the concrete repaired by EDM considering the ITZ effects. Moreover, modification procedures considering the ITZ effects are presented to attain the properties of the repaired concrete in the dry state. Results in this study are compared with those of the existing models and the experimental data. It is found that the predictions herein agree better with the experimental data than the previous models.

• 한국구조물진단유지관리공학회 논문집
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• 제19권3호
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• pp.122-129
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• 2015

본 연구에서는 일반강도 슬래브가 기둥 사이로 지나가는 형태의 모서리 기둥에 대한 유효압축강도 예측식을 개발하고자 하였다. 예측식 개발을 위해서 고강도 기둥-일반강도 슬래브 접합부와 조적조 구조의 유사성을 이용하였으며, 이에 더하여 기둥 단면치수에 대한 슬래브 두께의 형상비를 고려하였다. 제안된 식에 의한 예측값과 실험값의 비교를 통해 신뢰도를 확인하였으며, 설계기준 및 타 연구자들에 의한 제안식과 비교를 통해 우수성을 검증하였다. 연구결과, 제안식은 예측치에 대한 실험값의 비가 평균 1.02, 표준편차 0.15를 보여 콘크리트 구조기준 (2012)을 포함한 타 유효압축강도 예측식들에 비해 정확도 및 일관성 모두 우수한 결과를 나타냈다.

• 대한지구과학교육학회지
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• 제5권1호
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• pp.124-133
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• 2012

Modern society requires people with practical knowledge that is able to recognize actual problems in the complex reality and solve the problems. Due to that reason, the 7th National Curriculum aims to basically cultivate ability adaptable to information-oriented global age by maximizing students' individuality and creativity. However, as existing education is hard to improve creativity, logical thinking, information processing skills, and problem-solving ability in the information-oriented age, self-directed learning is getting highlighted. Therefore, this study aimed to look into how learner-oriented IPER for self-directed learning and problem-based learning(PBL) in middle school science affected academic achievement of science and self-directed learning characteristics. As the results of the study are as follows. First, as the result of pre-and post-test to compare and analyze the effects of IPER instruction model and PBL instruction model on learners' academic achievement increase, it showed that the class with IPER instruction model was more effective. Second, as the result of pre-and post-test to compare and analyze the effects of IPER instruction model and PBL instruction model on self-directed learning characters, IPER was more effective than PBL overall, and among sub-areas, 'openness', 'self-concept', 'initiative', 'future-oriented self-understanding', and 'self-evaluation' were more effective in IPER while 'creativity' was more effective in PBL. However, among sub-areas 'responsibility' and 'learning enthusiasm' didn't show statistically significant difference. Third, the results of the post-survey to compare and analyze learners' perception regarding the application of IPER instruction model and PBL instruction model, the two models were positively affective. In addition, as the result of comparing the two models, IPER was more positive than PBL.

• 대한조선학회논문집
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• 제33권4호
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• pp.60-65
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• 1996

1축 1타선에 대한 조종운동 수학모델은 통상적인 경우 이미 확립되어 널리 사용되고 있다. 또한 저속이나 천수역에서의 조종운동계산에도 응용되고, 새로운 국면의 조종운동 해석에도 기존의 조종수학 모델이 근간이 되고 있다. 한편 2축 2타선과 같은 특수선형에 대해서는 Lee 등에 의한 상세한 구속모형시험 결과로 그 특성이 알려지게 되었고, 1축 1타를 기본으로 하는 기존 수학모델에 약간의 수정을 가함으로서 충분이 조종운동을 추정할 수 있음을 보였다. 본 논문에서는 2축 2타선에 대한 Propeller Effective Wake($1-w_p$)와 유효중립타각 (Effective Neutral Rudder Angle) ${\delta}_R$에 대한 추정모델을 제안하고, Hull의 유체력에 관해서도 Inoue의 추정식을 사용하여, 초기설계단계에서 선박의 주요치수, Propeller 및 타 제원만으로서 개략적인 2축 2타선의 조종운동 계산을 가능하도록 하였다. 이 추정법에 의한 조종운동 계산결과를 엄밀한 구속모형 시험 Data에 의한 계산과 비교하여, 본 논문에서 제안된 추정법의 유용성을 검증하였다.

• Journal of Biosystems Engineering
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• 제41권4호
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• pp.342-356
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• 2016

Purpose: The drying of a thin layer of native cassava starch in a tray dryer was modeled to establish an equation for predicting the drying behavior under given conditions. Methods: Drying tests were performed using samples of native cassava starch over a temperature range of $40-60^{\circ}C$. We investigated the variation in the drying time, dynamic equilibrium moisture content, drying rate period, critical moisture content, and effective diffusivity of the starch with temperature. The starch diffusion coefficient and drying activation energy were determined. A modification of the model developed by Hii et al. was devised and tested alongside fourteen other models. Results: For starch with an initial moisture content of 82% (db), the drying time and dynamic equilibrium moisture content decreased as the temperature increased. The constant drying rate phase preceded the falling rate phase between $40-55^{\circ}C$. Drying at $60^{\circ}C$ occurred only in the falling rate phase. The critical moisture content was observed in the $40-55^{\circ}C$ range and increased with the temperature. The effective diffusivity of the starch increased as the drying temperature increased from 40 to $60^{\circ}C$. The modified Hii et al. model produced randomized residual plots, the highest $R^2$, and the lowest standard error of estimates. Conclusions: Drying time decreased linearly with an increase in the temperature, while the decrease in the moisture content was linear between $40-55^{\circ}C$. The constant drying rate phase occurred without any period of induction over a temperature range of $40-55^{\circ}C$ prior to the falling rate period, while drying at $60^{\circ}C$ took place only in the falling rate phase. The effective diffusivity had an Arrhenius relationship with the temperature. The modified Hii et al. model proved to be optimum for predicting the drying behavior of the starch in the tray dryer.