• 한국지구과학회지
• /
• 제27권4호
• /
• pp.374-389
• /
• 2006

이 연구는 예비 중등 교사들을 대상으로 Lakatos의 방법론에 따라서 "계절 변화의 설명"에 대한 대안 모형을 조사하였다. 조사대상은 사범대학 과학교육학부 74명이다. 조사 결과 계절 변화에 대한 예비 중등 교사들의 설명은 과학적 모형과 불일치하는 대안 모형들을 가지고 있었다. 이러한 명백한 불일치의 대안 개념은 어떤 일관성 있는 방향으로, 자신들이 가지고 있는 대안 모형의 핵심 신념을 사용한다고 가정함으로서 설명되어 진다고 우리는 주장한다. 따라서 이 연구에서는 예비 교사들의 대안 모형을 극복하기 위해서 먼저 그들이 가지고 있다고 가정할 수 있는 핵심 신념들과 가능한 근원들을 알아보는 것이다. 그러한 근원들 중에서 교과서가 예비 교사의 대안 모형의 근원을 제공할 가능성을 배제할 수는 없다.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제16권1호
• /
• pp.97-115
• /
• 2022

Smart power grid is a user friendly system that transforms the traditional electric grid to the one that operates in a co-operative and reliable manner. Demand Response (DR) is one of the important components of the smart grid. The DR programs enable the end user participation by which they can communicate with the electricity service provider and shape their daily energy consumption patterns and reduce their consumption costs. The increasing demands of electricity owing to growing population stresses the need for optimal usage of electricity and also to look out alternative and cheap renewable sources of electricity. The solar and wind energy are the promising sources of alternative energy at present because of renewable nature and low cost implementation. The proposed work models a smart home with renewable energy units. The random nature of the renewable sources like wind and solar energy brings an uncertainty to the model developed. A stochastic dual descent optimization method is used to bring optimality to the developed model. The proposed work is validated using the simulation results. From the results it is concluded that proposed work brings a balanced usage of the grid power and the renewable energy units. The work also optimizes the daily consumption pattern thereby reducing the consumption cost for the end users of electricity.

• 천문학회지
• /
• 제46권6호
• /
• pp.235-242
• /
• 2013

We compare mass-loss rates of OH/IR stars obtained from radio observations with those derived from the dust radiative transfer models and IR observations. We collect radio observational data of OH maser and CO line emission sources for a sample of 1533 OH/IR stars listed in Suh & Kwon (2011). For 1259 OH maser, 76 CO(J=1-0), and 55 CO(J=2-1) emission sources, we compile data of the expansion velocity and mass-loss rate. We use a dust radiative transfer model for the dust shell to calculate the mass-loss rate as well as the IR color indices. The observed mass-loss rates are in the range predicted by the theoretical dust shell models corresponding to $\dot{M}=10^{-8}M_{\odot}/yr-10^{-4}M_{\odot}/yr$. We find that the dust model using a simple mixture of amorphous silicate and amorphous $Al_2O_3$ (20% by mass) grains can explain the observations fairly well. The results indicate that the dust radiative transfer models for IR observations generally agree with the radio observations. For high mass-loss rate OH/IR stars, the mass-loss rates obtained from radio observations are underestimated compared to the mass-loss rates derived from the dust shell models. This could be because photon momentum transfer to the gas shell is not possible for the physical condition of high mass-loss rates. Alternative explanations could be the effects of different dust-to-gas ratios and/or a superwind.

• 한국산학기술학회논문지
• /
• 제9권2호
• /
• pp.422-430
• /
• 2008

데이터 통합은 상이한 소스로부터 이종의 데이터를 결합하고, 사용자에게 단일 접근 점을 통해 다중 소스의 모든 데이터에 투명하게 액세스하는 것을 허용하는 기술이다. 데이터 통합의 어려움은 데이터의 이종성 즉, 스키마의 이종성, 시멘틱의 이종성이다. 따라서 데이터의 풍부한 시멘틱이 데이터 소스의 이종성으로 인한 충돌을 해결하기 위한 주요한 요인이다. 그러나 UML 클래스 모델에서는 데이터의 스키마 기반 시멘틱만을 표현하기 때문에 온톨로지와 같은 대안책을 이용해 추가적인 시멘틱을 제공하는 것이 바람직하다. 본 논문에서는 온톨로지 분석을 이용해 UML 클래스 모델로 표현된 두 데이터 소스를 통합하기 위한 방법을 제시한다. 여기서 온톨로지는 각 소스의 데이터에 대한 시멘틱을 표현하는데 적용된다. 온톨로지의 유사성과 차이점을 결정하기 위해 온톨로지를 분석하고 비교한다. 비교 결과는 통합 정보에 대해 질의가 가능한 통합 온톨로지를 구축하는데 사용된다.

• 한국대기환경학회지
• /
• 제25권1호
• /
• pp.15-25
• /
• 2009

Donghae city is one of the most representative cement industrial city in Korea. The area is faced with the East Sea to the East and with high montane region of Tae-Back mountain range to the West. Many pollutant sources of air pollution are located near the coast, but the largest point sources of the region are located at the bottom of the mountain area in Donghae city. The local wind is highly affected by local topography and plays an important role in transport and dispersion of contaminants from the pollution sources. This study was designed to evaluate enhancement of MM5 predictions by using Four Dimensional Data Assimilation (FDDA), the SONDE data and the national meteorological station, data only. The alternative meteorological fields predicted with and without FDDA were used to simulate spatial and temporal variations of NOx in combined with Atmospheric Dispersion Models (CALPUFF). For the modeling domain, the alternative meteorological fields with 1.1 km spatial resolution were interpolated to the CALMET with 0.5 km resolution. The vertical layers set to have 35 and 12 layers for MM5 and CALPUFF, respectively. MM5 with the FDDA did not resulted in significant improvement of meteorological field prediction in Donghae region, which is primarily because of complex geography and wind scheme. The result of CALPUFF, however, showed reduction of uncertainty errors by using the interpolation scheme of the actual measurement data.

• Journal of Astronomy and Space Sciences
• /
• 제22권1호
• /
• pp.69-88
• /
• 2005

본 연구에서는 예비 중등교사들을 대상으로 '계절 변화의 설명'에 대한 대안 개념과 그 개념에 영향을 주는 요소들을 조사하였다. 본 연구에 참여한 예비교사는 대학교 과학교육학부 2학년 23명, 3학년 23명, 그리고 4학년 28명으로 총 74명이다. 자료 수집은 지필 검사와 개별 면담을 통해 이루어졌다. 연구 결과, 예비 중등교사들은 계절변화 설명에 대한 과학적 개념과 불일치하는 대안 개념들을 가지고 있었으며, '거리 이론'이 그들의 설명에 가장 큰 영향을 미치는 것으로 나타났다. 또한 예비 중등교사들이 갖는 '계절변화'의 대안개념의 구조와 근원을 알아보기 위하여 그 개념들을 형성하는 틀 이론과 특정 이론을 집중적으로 탐색하였다. 끝으로 연구 결과와 관련된 예비 교사교육에의 시사점을 논하였다.

• 한국물환경학회지
• /
• 제33권3호
• /
• pp.326-333
• /
• 2017

The lakes and reservoirs have been reported as important sources of carbon emissions to the atmosphere in many countries. Although field experiments and theoretical investigations based on the fundamental gas exchange theory have proposed the quantitative amounts of Net Atmospheric Flux (NAF) in various climate regions, there are still large uncertainties at the global scale estimation. Mechanistic models can be used for understanding and estimating the temporal and spatial variations of the NAFs considering complicated hydrodynamic and biogeochemical processes in a reservoir, but these models require extensive and expensive datasets and model parameters. On the other hand, data driven machine learning (ML) algorithms are likely to be alternative tools to estimate the NAFs in responding to independent environmental variables. The objective of this study was to develop random forest (RF) and multi-layer artificial neural network (ANN) models for the estimation of the daily $CO_2$ NAFs in Daecheong Reservoir located in Geum River of Korea, and compare the models performance against the multiple linear regression (MLR) model that proposed in the previous study (Chung et al., 2016). As a result, the RF and ANN models showed much enhanced performance in the estimation of the high NAF values, while MLR model significantly under estimated them. Across validation with 10-fold random samplings was applied to evaluate the performance of three models, and indicated that the ANN model is best, and followed by RF and MLR models.

• Journal of Veterinary Science
• /
• 제21권3호
• /
• pp.42.1-42.22
• /
• 2020

Regenerative medicine using stem cells from various sources are emerging treatment modality in several refractory diseases in veterinary medicine. It is well-known that stem cells can differentiate into specific cell types, self-renew, and regenerate. In addition, the unique immunomodulatory effects of stem cells have made stem cell transplantation a promising option for treating a wide range of disease and injuries. Recently, the medical demands for companion animals have been rapidly increasing, and certain disease conditions require alternative treatment options. In this review, we focused on stem cell application research in companion animals including experimental models, case reports and clinical trials in dogs and cats. The clinical studies and therapeutic protocols were categorized, evaluated and summarized according to the organ systems involved. The results indicate that evidence for the effectiveness of cell-based treatment in specific diseases or organ systems is not yet conclusive. Nonetheless, stem cell therapy may be a realistic treatment option in the near future, therefore, considerable efforts are needed to find optimized cell sources, cell numbers and delivery methods in order to standardize treatment methods and evaluation processes.

• 대한공간정보학회지
• /
• 제10권3호
• /
• pp.71-77
• /
• 2002

유역선정과 하도망구축에서 최근에 수치표고모델을 많이 이용한다. 수치표고모델생성방법은 지형측량, 사진측량, 지형도, 위성영상에 의한 방법등이 있다. 정확한 수치표고모델의 추출은 처리방법과 원시자료의 해상력, 공간해상도 등에 많이 의존한다. 그러나 위성영상 촬영시기상조건, 자연환경 등 여러 요인으로 인해 최상의 품질의 위성영상을 얻을 수 없고 또한 스테레오영상의 촬영시기가 다르기 때문에 자동생성 DEM에는 많은 오류를 포함하게 된다. 본 논문은 Kompsat 영상을 이용하여 수치표고모델을 형성하여 유역해석에 있어서 실시간 해석이 가능하도록 자료를 제공하는데 그 목적이 있다.

• 한국수소및신에너지학회논문집
• /
• 제32권6호
• /
• pp.483-488
• /
• 2021

With continuous emission of environmental pollutants and an increase in greenhouse gases such as carbon dioxide, demand to seek other types of energy sources, alternative energy, was needed. Hydrogen, an eco-friendly energy, is attracting attention as the ultimate alternative energy medium. Hydrogen storage technology has been studied diversely to utilize hydrogen energy. In this study, the gas behavior of hydrogen in the storage tank was numerically examined under charge conditions for the Tpe III hydrogen tank. Numerical results were compared with the experimental results to verify the numerical implementation. In the results of pressure and temperature values under charge condition, the Realizable k-ε model and Reynold stress model were quantitatively matched with the smallest error between numerical and experimental results.