• 한국수학교육학회지시리즈A:수학교육
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• 제52권1호
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• pp.1-17
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• 2013

The goal of the textbooks of 2009 revised curriculum is to make customized lectures possible considering learning characteristics and understanding level of students. However, it is not easy to find a research result on sensed difficulty of the mathematics textbook, which is able to provide valuable information on the development of the diverse level textbooks. This research suggested criteria in analysing sensed difficulties of field teachers on the textbooks, and analysed sensory difficulty on the selective tracks textbooks based on 2007 revised mathematics curriculum using the criteria. The results of the analysis on 59 mathematics selective tracks textbooks show that all have average sensed difficulty. The criteria and research results are expected to provide valuable information in future mathematics textbook development.

• 대한원격탐사학회지
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• 제19권5호
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• pp.341-349
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• 2003

The so-called B-method, a simplified surface energy budget, permits calculation of daily actual evapotranspiration (ET) using remotely sensed data, such as NOAA-AVHRR. Even if the use of satellite data allows estimation of the albedo and surface temperature, this model requires meteorological data measured at ground-level to obtain the other inputs. In addition, a difficulty may be occurred by the difference of temporal scales between the net radiation in daily scale and instantaneous measurement at midday of the surface and air temperatures because the data covered whole day are necessary to obtain accumulated daily net radiation. In order to solve these problems, this study attempted a modification of B-method through an extension of hourly ET value calculated using a complete instantaneous inputs. The estimation of the daily apparent ET from newly proposed system showed a root mean square error of 0.26 mm/day as compared the output obtained from the classical model. It is evident that this may offer more rapid estimation and reduced data volume.

• 한국초등과학교육학회지:초등과학교육
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• 제36권4호
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• pp.356-366
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• 2017

The purpose of this study is to analyze whether the required cognitive levels of the current 6th graders' science textbooks conform to the children's cognitive levels and to examine the students' sensed psychological difficulty of the current science textbooks. The eighty five students (boy: 39, girl: 46) from one elementary school were participated in this study. The results of the study are as follows. First, the 2/3 out of the contents in the six graders' science textbooks require concrete level of operation and the 1/3 out of the contents in the textbooks requires the formal level of operation. So the 70% students at the concrete operational level are likely to undergo difficulties with the 1/3 contents in the textbooks. Second, the students' psychological difficulty on the science textbooks is relatively low (approximately two out of five points) and there is not any special pattern between the cognitive level of the textbooks and the students' psychological difficulty of the textbooks.

• 대한원격탐사학회지
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• 제10권2호
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• pp.109-120
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• 1994

The study is aimed at the extraction of the groundwater potential areas utilizing the remotely sensed data from satellites. The results of the study are summarized as follows. Analyses of the existing operational wells for groundwater supply indicate that 81% of them are related with lineaments and 51% of them are located at the intersections of lineameters. Thus the features of lineaments are considered to be one of the most important parameters to extract a high potertial area of groundwater. Taking into acount features of lineament, high potential points were extracted from Landsat TM data based on the theory developed in this research, then verifications were made through actual drilling. The result of verification indicates that 9 points produces more 200 cubic meter/day which is the amount required from economical point of view for an operational use. Since the actual boring was not made on the recommended points for 4 points due to the difficulty of access to the exact points and of the approval for boring, they did not yield enough output. The result might have been improved if the exact points were bored and if the boring bad been made deeper, since the maximum depth of boring was limited to 62 meters.

• 대한원격탐사학회지
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• 제20권2호
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• pp.139-152
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• 2004

본 연구에서는 수정이방성복원 후 지역확장분할 영상분류의 분류오류를 Markov Random Field(MRF) 기반 분류자를 사용하여 개선시킬 것을 제안하고 있다. 제안 접근법은 지역확장분할 분류에 의해 생성된 결과에서 분류오류의 발생 가능성이 높은 경계지역을 정의하고 경계지역내의 화소들에 대해 재분류를 수행하여 수정하는 것이다. 재분류를 위한 MRF 기반 분류자는 지역확장분할 분류에 의해 추정된 클래스 수와 클래스 특성 값을 기반으로 하여 분류를 수행하는 반복적인 기법이다. 모의자료에 대한 실험은 제안 기법이 분류 정확성을 향상시킴을 보여주었다 그러나 실제적으로 많은 탐사지역의 피복형태는 매우 복잡한 구조를 갖고 있으므로 일반적 MRF 기반 기법의 사용은 원격탐사 영상의 정확한 분석을 이끌어 내지 못할 수 있으므로 본 연구는 다중 분류자를 사용하는 다단계 경계지역 수정기법을 제안한다. 한반도의 실제 원격탐사 영상자료에 대한 적용결과는 다단계 기법의 효과성을 잘 보여주고 있다. 다단계 반복적 경계지역 내 분류수정은 분석지역에 존재하는 자세한 구조를 보존하는 한편 지역적 명확한 구분의 분류결과를 생성한다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2002년도 학술발표회 논문집(I)
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• pp.43-50
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• 2002

Accurate quantitative forecasting of rainfall for basins with a short response time is essential to predict streamflow and flash floods. Previously, neural networks were used to develop a Quantitative Precipitation Forecasting (QPF) model that highly improved forecasting skill at specific locations in Pennsylvania, using both Numerical Weather Prediction (NWP) output and rainfall and radiosonde data. The objective of this study was to improve an existing artificial neural network model and incorporate the evolving structure and frequency of intense weather systems in the mid-Atlantic region of the United States for improved flood forecasting. Besides using radiosonde and rainfall data, the model also used the satellite-derived characteristics of storm systems such as tropical cyclones, mesoscale convective complex systems and convective cloud clusters as input. The convective classification and tracking system (CCATS) was used to identify and quantify storm properties such as life time, area, eccentricity, and track. As in standard expert prediction systems, the fundamental structure of the neural network model was learned from the hydroclimatology of the relationships between weather system, rainfall production and streamflow response in the study area. The new Quantitative Flood Forecasting (QFF) model was applied to predict streamflow peaks with lead-times of 18 and 24 hours over a five year period in 4 watersheds on the leeward side of the Appalachian mountains in the mid-Atlantic region. Threat scores consistently above .6 and close to 0.8 ∼ 0.9 were obtained fur 18 hour lead-time forecasts, and skill scores of at least 4％ and up to 6％ were attained for the 24 hour lead-time forecasts. This work demonstrates that multisensor data cast into an expert information system such as neural networks, if built upon scientific understanding of regional hydrometeorology, can lead to significant gains in the forecast skill of extreme rainfall and associated floods. In particular, this study validates our hypothesis that accurate and extended flood forecast lead-times can be attained by taking into consideration the synoptic evolution of atmospheric conditions extracted from the analysis of large-area remotely sensed imagery While physically-based numerical weather prediction and river routing models cannot accurately depict complex natural non-linear processes, and thus have difficulty in simulating extreme events such as heavy rainfall and floods, data-driven approaches should be viewed as a strong alternative in operational hydrology. This is especially more pertinent at a time when the diversity of sensors in satellites and ground-based operational weather monitoring systems provide large volumes of data on a real-time basis.

• 한국항공우주학회지
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• 제49권1호
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• pp.1-12
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• 2021

본 논문은 복합재 패널에서 압전 작동기를 사용하여 탄성파를 생성하고, 손상에서의 반사된 신호를 압전 감지기에서 탐지하여 손상위치를 추정할 수 있는 알고리즘을 개발하였다. 손상이 없는 신호와 손상이 있는 신호를 비교하여 손상신호를 추정하는 진단적 접근방법을 사용하였다. 신호 상관관계를 이용하여 탄성파의 군속도를 계산하고 압전기 위치정보를 이용하여 손상정보를 추출하였다. 하지만 탄성파의 비선형 특성으로 인해, 손상정보는 다양한 신호의 조합으로 구성되기 때문에, 손상위치를 명확히 구별하기 어렵다. 이에 본 논문에서는 손상에서 반사된 신호정보를 신호 도달거리의 면적으로 변환해서 손상의 중심위치를 찾는 누적함수 특성벡터 알고리즘(CSFV, cumulative summation feature vector)을 새롭게 제안하고, 특성벡터를 손상지수와의 곱으로 표현하는 가시화 기법을 적용하였다. 또한 복합재 패널에서 실험검증을 수행하고, 기존의 알고리즘과의 비교를 통해 제안된 알고리즘이 정확도 높게 손상위치를 검출할 수 있음을 보였다.