• 한국가정과교육학회지
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• 제7권2호
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• pp.91-101
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• 1995

The purposes of the study were to: (1) develop instructional method for consumer education of home economics in the middle school. (2) test the effectiveness of the developing instructional method focusing on the problem solving. In the method of the research, literature review related to the consumer education. models of teaching and characteristics of problem solving method were studied. Also, on the basis of theoretical evidence. the teaching plan focusing on problem solving method was developed. In addition, experimental research was done to find out the learning effectiveness on the developing instructional method of the study. This experimental research were made in the six classes of the three middle school in Seoul. For the statistical analysis of the study, frequency, mean and two way ANOVA(factorial design) were used. The results of this study were summarized as follows; (1) The developed instructional method of the study was more effective than the traditional lecture method. (2) The effects of the teaching-learning method were depended on the sex. The learning effects on the female students were higher than the male students. (3) The learning effects on the students were influenced by the sex and teaching method.

• 한국터널지하공간학회 논문집
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• 제12권3호
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• pp.275-283
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• 2010

최근 터널의 정보화 설계시공이 중요시 되어지고 있다. 암반에는 절리, 단층, 균열, 층리, 단열 등의 불연속면이 많이 포함되어 있다. 따라서, 암반 불연속면이 터널의 거동을 좌우하고 있다. 본 연구에서는 터널의 정보화 설계시공을 위한 키블럭 해석기법을 제안하고, 초대단면 터널현장에 적용했다. 제안한 해석기법은 불연속면의 연속성을 고려하여, 블록의 형상에 관계없이 모든 형상의 블록이 인식 가능하여 복잡한 굴착면에 적용가능하다. 터널현장에서의 해석결과를 비교 검토하여, 본 연구에서 개발한 터널의 정보화 설계시공을 위한 키블럭 해석기법의 타당성과 적용성에 대한 검증을 하였다.

• 한국정보통신학회논문지
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• 제16권1호
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• pp.183-190
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• 2012

본 연구는 연구논문 및 저자 프로파일을 기반으로 상호 협력이 가능한 전문가 검색 시스템을 구축한다. 제안한 방법론은 다음과 같다. 첫째, 입력 키워드와 가장 연관성 높은 키워드를 검색하기 위한 가중치 부여 기법을 제안하고, 둘째, 이 기법을 통해 전문가를 효율적으로 검색하는 방안을 제안한다. 우선적으로 논문에서 키워드와 저자 프로파일을 추출하고, 이를 통하여 전문가를 검색할 수 있도록 한다. 이것은 소셜 네트워크의 여러 분야에서 활용할 수 있다. 이러한 정보는 여러 시스템에 분산되어 있다. 이렇게 분산된 데이터를 통합하기 위한 기술로 멀티 온토롤지를 이용하는 기법을 제안한다. 멀티 온톨로지는 메타 온톨로지, 인스턴스 온톨로지, 로케이션 온톨로지와 연관관계 온톨로지로 구성되고, 연관관계 온톨로지는 동적으로 키워드 연관관계 분석을 통해 구축된다. 이 멀티 온톨로지를 이용하여 전문가 망을 제공하고, 이것은 키워드의 연관관계 추적을 통한 전문가 검색이 가능하도록 한다. 이를 통하여 전문가들의 연구물을 확인할 수 있도록 제공함으로써 세부 전문분야를 확인할 수 한다.

• 제어로봇시스템학회논문지
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• 제22권8호
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• pp.633-642
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• 2016

It is important for advanced active safety systems and autonomous driving cars to get the accurate estimates of the nearby vehicles in order to increase their safety and performance. This paper proposes a sensor fusion method for radar and vision sensors to accurately estimate the state of the preceding vehicles. In particular, we performed a study on compensating for the lateral state error on automotive radar sensors by using a vision sensor. The proposed method is based on the Interactive Multiple Model(IMM) algorithm, which stochastically integrates the multiple Kalman Filters with the multiple models depending on lateral-compensation mode and radar-single sensor mode. In addition, a Probabilistic Data Association Filter(PDAF) is utilized as a data association method to improve the reliability of the estimates under a cluttered radar environment. A two-step correction method is used in the Kalman filter, which efficiently associates both the radar and vision measurements into single state estimates. Finally, the proposed method is validated through off-line simulations using measurements obtained from a field test in an actual road environment.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 1983년도 제25회 수공학 연구발표회 논문초록집
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• pp.54-58
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• 1983

• 기술사
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• 제20권2호
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• pp.3-15
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• 1987

• 로봇학회논문지
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• 제4권3호
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• pp.169-176
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• 2009

Low-cost sensors have been widely used for mobile robot navigation in recent years. However, navigation performance based on low-cost sensors is not good enough to be practically used. Among many navigation techniques, building of an accurate map is a fundamental task for service robots, and mapping with low-cost IR sensors was investigated in this research. The robot's orientation uncertainty was considered for mapping by modifying the Bayesian update formula. Then, the data association scheme was investigated to improve the quality of a built map when the robot's pose uncertainty was large. Six low-cost IR sensors mounted on the robot could not give rich data enough to align the range data by the scan matching method, so a new sample-based method was proposed for data association. The real experiments indicated that the mapping method proposed in this research was able to generate a useful map for navigation.

• 대한산업공학회지
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• 제42권4호
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• pp.249-255
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• 2016

Recently, transaction data is accumulated everywhere very rapidly. Association analysis methods are usually applied to analyze transaction data, but the methods have several problems. For example, these methods can only consider one-way relations among items and cannot reflect domain knowledge into analysis process. In order to overcome defect of association analysis methods, we suggest a transaction data analysis method based on probabilistic graphical model (PGM) in this study. The method we suggest has several advantages as compared with association analysis methods. For example, this method has a high flexibility, and can give a solution to various probability problems regarding the transaction data with relationships among items.

• 한국군사과학기술학회지
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• 제13권5호
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• pp.739-747
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• 2010

In this paper, we propose new data association method called the Highest Probability Data Association(HPDA) using a Signal Amplitude information ordering method applied to active sonar tracking and track initiation in cluttered environment. The performance of HPDA is tested in a series of Monte Carlo simulations runs and is compared with the existing Probabilistic Data Association with Amplitude Information(PDA-AI) for active sonar tracking in clutter. The proposed HPDA algorithm is also applied to automatic track initiation in clutter and its performance is compared with the existing IPDA-AI algorithm.

• 방재와보험
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• 통권43호
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• pp.98-104
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• 1989