• 컴퓨터교육학회논문지
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• 제9권5호
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• pp.41-51
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• 2006

본 연구에서는 중학교에서 학습해야 할 알고리즘 분야의 학년별 학습 요소 선정의 타당성을 확보하고, 인접 교과와의 연계성을 분석하여 관련된 증거와 정보를 수집하여 연계 요소를 조정함으로써 알고리즘 분야의 내적 위계를 정립하고, 교과 간에 발생한 수 있는 중복성 문제의 대안을 제시하고자 하였다. 학습 요소 선정의 타당성을 검토하기 위하여 4가지 준거를 구안하였으며, 이를 현재 학교 현장 적합성 검토를 위해 교육인적자원부 웹사이트에 탑재되어 있는 "중학교 컴퓨터 교육과정 개정 시안(초안)에 적용하였다. 또한 인접 교과와의 중복성 검토에서는 중학교 정보 교과의 '문제 해결방법과 절차' 영역과 초등학교 수학과의 '규칙성과 문제 해결' 영역의 내용 중복성이 심각한 것으로 나타났으며, '문제 해결 방법과 절차' 영역의 내용체계는 인접 교과와의 차별화 전략이 필요한 것으로 나타났다.

• 한국전자통신학회논문지
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• 제11권1호
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• pp.45-52
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• 2016

본 논문은 영상 복원 문제에 대한 정규화 모수를 찾는 새로운 방법을 제시한다. 위너 필터(Wiener filter)는 원본 영상과 잡음의 파워 스펙트럼 등의 사전 정보를 요구한다. 제약된 최소자승 복원 역시 노이즈 수준에 대한 지식을 요구한다. 사전 정보가 없으면 티코노프(Tikhonov) 정규화 모수를 선택하기 위한 일반화된 교차 검증법이나 L자형 곡선 검정 등의 별도의 최적화 함수가 필요하다. 본 논문에서는 주파수 영역에서 선형 시스템의 바이어스 항목과 티코노프 정규화 시스템의 평활화 항목을 연결하는 자기 정규화 방법을 제안하고 영상 복원 문제에 적용한다. 실험결과는 제안하는 방법의 효능을 보여준다.

• Rapid Communication in Photoscience
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• 제2권2호
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• pp.56-59
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• 2013

Plant phytochromes, molecular light switches that regulate various aspects of plant growth and development, are known as autophosphorylating serine/threonine kinases. Although recent studies reveal that phytochrome autophosphorylation plays an important role in the regulation of phytochrome signaling through the control of phyA protein stability, the in vivo functional roles of phytochrome kinase activity in plant light signaling are largely unknown. Thus, it is necessary to investigate the detailed function of phytochrome as a protein kinase, which might include mapping of kinase domain on the phytochrome molecule, searching for substrates that could be phosphorylated by phyA, and in vivo functional analysis of the kinase activity with phytochrome mutants displaying reduced kinase activity. Our recent studies reveal that the kinase activity of phytochrome plays a positive role in plant light signaling. Therefore, we highlight the current knowledge about the functional roles of phytochrome kinase activity in the light signal transduction of plants, based on our recent results.

• 대한음성학회지:말소리
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• 제53호
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• pp.75-92
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• 2005

Prosody Generation Based on C-ToBI Representation for Text-to-SpeechSeungwon Kim, Yu Zheng, Gary Geunbae Lee, Byeongchang KimProsody modeling is critical in developing text-to-speech (TTS) systems where speech synthesis is used to automatically generate natural speech. In this paper, we present a prosody generation architecture based on Chinese Tone and Break Index (C-ToBI) representation. ToBI is a multi-tier representation system based on linguistic knowledge to transcribe events in an utterance. The TTS system which adopts ToBI as an intermediate representation is known to exhibit higher flexibility, modularity and domain/task portability compared with the direct prosody generation TTS systems. However, the cost of corpus preparation is very expensive for practical-level performance because the ToBI labeled corpus has been manually constructed by many prosody experts and normally requires a large amount of data for accurate statistical prosody modeling. This paper proposes a new method which transcribes the C-ToBI labels automatically in Chinese speech. We model Chinese prosody generation as a classification problem and apply conditional Maximum Entropy (ME) classification to this problem. We empirically verify the usefulness of various natural language and phonology features to make well-integrated features for ME framework.

• 한국CDE학회논문집
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• 제5권2호
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• pp.127-135
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• 2000

Emergent computing paradigms such as genetic algorithms have found increased use in problems in engineering design. These computational tools have been shown to be applicable in the solution of generically difficult design optimization problems characterized by nonconvexities in the design space and the presence of discrete and integer design variables. Another aspect of these computational paradigms that have been lumped under the bread subject category of soft computing, is the domain of artificial intelligence, knowledge-based expert system, and machine learning. The paper explores a machine learning paradigm referred to as teaming classifier systems to construct the high-quality global function approximations between the design variables and a response function for subsequent use in design optimization. A classifier system is a machine teaming system which learns syntactically simple string rules, called classifiers for guiding the system's performance in an arbitrary environment. The capability of a learning classifier system facilitates the adaptive selection of the optimal number of training data according to the noise and multimodality in the design space of interest. The present study used the polynomial based response surface as global function approximation tools and showed its effectiveness in the improvement on the approximation performance.

• 한국환경교육학회지:환경교육
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• 제16권2호
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• pp.51-64
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• 2003

The ultimate objective of environmental education is to develop characteristics of the affective domain being the basis for environmental behavior. As this need, the researchers developed a modular program for environmental values education suited elementary school's actuality. In practice of program development, researchers analyzed the contents of environmental education in current curriculum. Researchers set up development principles of modular program according to the level of elementary moral development. The system of this modular program consists of three levels like environmental awareness, environmental literacy, environmental responsibility, and each module is made up of three subjects representing these levels. So this modular program is classified with three level's modular group like low grade, center grade, and high grade. And set in array after selecting value strategies suited each grade level. The expectant effects of this program for environmental values education are as follows: Students form sound environmental values and attitudes for environment through various strategies that develop environmental awareness and environmental literacy. And those strategies provides various experiences to construct knowledge, value, and attitude about environment by oneself working together with teacher. So teacher and students can utilize easily at school or in nature. Besides, since it relates with single environmental problem from awareness to participation about environment, teachers can conduct elementary environmental curriculum more systematically and effectively.

• Nuclear Engineering and Technology
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• 제50권4호
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• pp.553-561
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• 2018

To easily understand and systematically express the behaviors of the industrial systems, various system modeling techniques have been developed. Particularly, the importance of system modeling has been greatly emphasized in recent years since modern industrial systems have become larger and more complex. Multilevel flow modeling (MFM) is one of the qualitative modeling techniques, applied for the representation and reasoning of target system characteristics and phenomena. MFM can be applied to industrial systems without additional domain-specific assumptions or detailed knowledge, and qualitative reasoning regarding event causes and consequences can be conducted with high speed and fidelity. However, current MFM techniques have a limitation, i.e., the dynamic features of a target system are not considered because time-related concepts are not involved. The applicability of MFM has been restricted since time-related information is essential for the modeling of dynamic systems. Specifically, the results from the reasoning processes include relatively less information because they did not utilize time-related data. In this article, the concepts of time-to-detect and time-to-effect were adopted from the system failure model to incorporate time-related issues into MFM, and a methodology for enhancing MFM-based reasoning with time-series data was suggested.

• 인터넷정보학회논문지
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• 제8권3호
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• pp.65-74
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• 2007

기업에서 데이터베이스, 데이터웨어하우스, 데이터마트, OLAP 등의 활용이 증가함에 따라 데이터베이스 통합은 일반적이며 해결해야하는 문제가 되었다. 데이터베이스를 통합하여 공유하는 방법은 여러 가지가 있지만 데이터베이스 시스템의 진정한 상호작동은 각 시스템의 데이터베이스를 의미적으로 비교하여 합병하여야 한다. 본 연구는 기존의 데이터베이스 연합 방식을 개선하여 데이터베이스 관리자가 데이터베이스의 의미를 쉽고 효율적으로 찾아내는 통합 시스템을 제안한다. 연구에서 데이터베이스 의미 정보 통합은 전역 뷰를 생성하는 도구를 사용하여 해결하였다. 전역 뷰를 구성하는 것은 복잡한 지식과 경험을 요구하기 때문에 아직까지 구성 도구가 개발된 사례가 많지 않은 핵심적인 문제이다. 제안된 기법과 도구는 데이터베이스 관리자가 사용하기에 간단하고 고기능이며 대부분의 통합 질의를 지원하도록 충분한 표현력을 갖도록 하였다.

• 대한산업공학회지
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• 제41권6호
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• pp.579-587
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• 2015

Semiconductor manufacturing industry is a high density integration industry because it generates a vest number of data that takes about 300~400 processes that is supervised by numerous production parameters. It is asked of engineers to understand the correlation between different stages of the manufacturing process which is crucial in reducing production costs. With complex manufacturing processes, and defect processing time being the main cause. In the past, it was possible to grasp the corelation among manufacturing process stages through the engineer's domain knowledge. However, It is impossible to understand the corelation among manufacturing processes nowadays due to high density integration in current semiconductor manufacturing. in this paper we propose a canonical correlation analysis (CCA) using both wafer test voltage variables and fail bit counts variables. using the method we suggested, we can increase the semiconductor yield which is the result of the package test.

• 지능정보연구
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• 제14권4호
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• pp.19-30
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• 2008

온톨로지 기반 분산 정보시스템 환경에서는 시스템들 간의 자동화된 정보 공유를 지원하기 위해서 온톨로지 간의 의미적 이질성(semantic heterogeneity)을 해결해야 한다. 일반적으로 전문가들에게 미리 온톨로지들 간의 명시적 매핑(explicit mapping between ontologies)을 요청하고 있다. 하지만, 온톨로지 매핑의 고비용성 문제 때문에 모든 정보시스템들의 온톨로지 간의 일대일 매핑이 이루어지기 힘들다. 따라서, 본 논문에서는 분산된 온톨로지들 간의 매핑정보를 수집하고 재사용(reuse) 하고자 한다. 즉, 분산 환경에서 활용 가능한 온톨로지 매핑 정보의 결합(composition)을 위한 방법론을 제안한다. 이를 통해 주어진 두 온톨로지 간의 매핑 정보를 간접적으로 예측할 수 있게 된다. 특히, 본 연구에서 제안하는 온톨로지 매핑 결합 기법의 성능 평가를 위하여, 자동화된 쿼리 전송(propagation) 및 변환 (transformation) 시스템에 적용하였다.