• Title/Summary/Keyword: 개인 속성

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An Analysis of Analogies in the Chemistry Domain of Middle School Science Textbooks Developed under the 2007 Revised National Curriculum (2007 개정 중학교 과학 교과서의 화학 영역에 사용된 비유의 분석)

  • Noh, Taehee;Ahn, Inyoung;Kang, Sukjin
    • Journal of the Korean Chemical Society
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    • v.57 no.3
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    • pp.398-404
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    • 2013
  • In this study, the analogies in the chemistry domain of middle school science textbooks developed under the 2007 revised National Curriculum were analyzed. A total of 235 analogies were found in 27 middle school science textbooks analysed, which means that one analogy per 10 pages was used on average. The number of analogies found in each textbook considerably varied depending on both publishing company and chemistry domain. Functional analogies, verbal and pictorial analogies, analogies with abstract target and concrete analog, enriched analogies, everyday contexts analogies, student-centered analogies, and analogies with low systematicity were frequently used. On presenting the analogies in the textbooks, the term analogy and description about the limitations of the analogies were rarely mentioned. In comparison with the analogies in the science textbooks developed under the 7th National Curriculum, the frequency of analogies per page was increased. There were positive changes in the aspects of representation, extent of mapping and artificiality. No differences, however, were found in the patterns of the other aspects.

Use of Text Processing Technologies in a Semantic Web Application (시맨틱 웹 응용 서비스에서의 텍스트 처리 기술 적용)

  • Jung, Han-Min;Kang, In-Su;Koo, Hee-Kwan;Lee, Seung-Woo;Kim, Pyung;Sung, Won-Kyung
    • Annual Conference on Human and Language Technology
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    • 2006.10e
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    • pp.189-196
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    • 2006
  • 본 논문은 시맨틱 웹 응용 서비스를 구현함에 있어 필수적으로 요구되는 온톨로지 인스턴스 구축을 효율적으로 처리하는 데 있어 텍스트 처리 기술이 어떤 역할을 수행할 수 있는 가를 $OntoFrame-K^{(R)}$라는 시맨틱 웹 기반 정보 유통 체계에의 적용 사례를 통해 살펴본다. 본 논문에서 소개하는 텍스트 처리 기술은 개체 확인물 통한 개념 사례화, 주제 분야 할당을 통한 메타데이터 확장에, 그리고 인용 정보 추출 및 인용 관계 구축을 통한 객체 관계속성 구축에 적용된다. 개체 확인에서는 메타데이터 비교 잊 병합을 사용하였으며 이를 기반으로 한 수작업 구축을 통해 8,543명의 인력 URI를 확보하였다. 주제 및 분야 할당에서는 색인어와 분야분류명이 매핑된 시소러스 개념어의 매칭을 통해 색인어 별 TF (Term Frequency), 색인어와 매칭된 개념어 별 TF, 색인어와 매칭된 개념어 별 시소러스에서의 깊이, 색인어와 매칭된 개념어 별 개념 패싯, 색인어와 매칭된 각 개념어에 부착된 분야분류명 목록 등 할당을 위한 다양한 자질을 확보 적용하였다. 인용 정보 추출과 인용 관계 구축에서는 객체 URI와 인력 URI를 기반으로 하여 자동 추출된 인용 정보를 반영하는 방식으로 7,237개 문헌으로부터 총 135개의 인용 네트워크 그룹을 자동으로 확보하였다. 본 연구를 통해 제시된 텍스트 처리 기술의 활용 방안이 향후 시맨틱 웹 응용 서비스 및 인프라 구현에서 다각적으로 활용될 수 있기를 기대한다.

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A Study on Science-gifted Students' Competency and Development of Competency Dictionary (과학 영재의 역량 탐색 및 역량 사전의 개발)

  • Kang, Seong-Joo;Kim, Eun-Hye;Yoon, Ji-Hyun
    • Journal of Gifted/Talented Education
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    • v.22 no.2
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    • pp.353-370
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    • 2012
  • The observation and recommendation system was recently introduced for selecting gifted-students in science, and it has required to arrange the reliable and valid selection criteria that could identify the high potential competency of them. In this study, we explored the competencies that could help to discriminate gifted-students' inner properties, and also developed the dictionary based on them. The competencies were extracted from the proven previous competency dictionaries/models and examined by the structured survey and the focus group interview in order to ascertain the competencies of the science-gifted students. The results revealed that there were two competency clusters such as cognitive and affective domains. The cognitive cluster consisted of 6 competencies as follows: goal suggestion, planning, information collection and analysis, problem solving, higher-order thinking, and expertise and self-development competency. The affective cluster consisted of 3 competencies: confidence, achievement orientation, and curiosity competency. The dictionary categorized by the names, definitions, key elements, and behavioral indicators and their levels of the derived competencies was developed. Findings were expected to provide the implications on the selection criteria of the potential science-gifted students through the observation and recommendation system.

Security Elevation of XML Document Using DTD Digital Signature (DTD 전자서명을 이용한 XML문서의 보안성 향상)

  • Park, Dou-Joon;Min, Hye-Lan;Lee, Joon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • v.9 no.1
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    • pp.1080-1083
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    • 2005
  • Can speak that DTD is meta data that define meaning of expressed data on XML document. Therefore, in case DTD information is damaged this information to base security of XML document dangerous. Not that attach digital signature on XML document at send-receive process of XML document in this research, proposed method to attach digital signature to DTD. As reading DTD file to end first, do parsing, and store abstracted element or attribute entitys in hash table. Read hash table and achieve message digest if parsing is ended. Compose and create digital signature with individual key after achievement. When sign digital, problem that create entirely other digest cost because do not examine about order that change at message digest process is happened. This solved by method to create DTD's digital signature using DOM that can embody tree structure for standard structure and document.

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Detection Algorithm of Crossroad Traffic Accident Using the Sequence of Traffic Lights (신호등 주기를 이용한 교차로 교통사고감지 알고리즘)

  • Jeong, Sung-Hwan;Lee, Joon-Whoan
    • The KIPS Transactions:PartB
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    • v.16B no.1
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    • pp.17-24
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    • 2009
  • This paper suggests the background image and the algorism of detecting an accident at crossroads by using the sequence of traffic light at crossroads, which is installed within the crossroads, in order to detect an accident within crossroads. A method of using the existing image contains a problem that the accident-detection ratio gets lower in a situation that noise occurs loudly given using new accident model, the confused situation, or sound source. This study used the accident detection by developing a filter of using the property of histogram in the sequence of traffic light at crossroads and the background image, in order to reduce misjudgment of an accident caused by external shadow, vehicle stoppage, vehicle headlight, and externally environmental influence. As a result of experimenting by acquiring 15 actual accident images in order to examine the performance of the suggested algorism, the accident was detected in all the 15 videos. Even as for a new accident model, the accident within crossroads could be detected.

Dynamic voltage scaling policy for processors with fast voltage transition on personal computing environment (이동형 개인 컴퓨팅 환경의 에너지 효율 증가를 위한 빠른 전압 조절을 고려한 가변 성능 알고리즘)

  • Seo, Eui-Seong;Lee, Joon-Won
    • Proceedings of the Korean Information Science Society Conference
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    • 2005.07a
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    • pp.763-765
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    • 2005
  • DVS(dynamic voltage sealing)은 이동형 프로세서에서 에너지 효율을 높이기 위한 필수 요소로 자리 잡고있다. DVS를 효과적으로 사용하기 위해선 대상 태스크의 특성과 하드웨어 특성에 맞는 DVS 알고리즘이 필요하다. 상품화 수준의 않은 운영체계들이 일정한 인터벌(interval)을 바탕으로 시스템 사용 상황을 분석하여 목표 성능을 결정하는 방식을 사용하고 있다. 이러한 방식은 태스크의 특성이 갑자기 변하여 성능을 요구할 경우 인터벌만큼의 시간이 진행된 후에야 반응 한다는 단점이 있다. 또한, 태스크 별 특성이 아닌 시스템 전체의 특성을 따르므로 이질적인 성격의 태스크들이 동시에 실행 되는 환경에는 적합하지 않다. 최근의 모바일 프로세서들은 수 마이크로초 수준의 성능 전환 시간을 제공하고 있으며 이 속도는 계속 줄어들고 있다. 프로세서의 고성능화로 인해 I/O 작업의 경우 프로세서 성능에 따른 실행 시간의 차이가 존재 하지 않는다. 이러한 두 가지 특성을 바탕으로 우리는 TIB(timer interrupt based) 알고리즘을 제안한다. TIB 알고리즘은 일정한 길이의 인터벌 대신 타임 슬라이스(time slice)를 성능 결정의 단위로 삼는다. 성능의 결정은 태스크 별로 이루어지며 각 태스크가 사용했던 이전 타임 슬라이스가 타이머 인터룹트(timer interrupt)에 의해 끝났다면 최대의 성능을 그 외의 경우는 최저의 성능으로 실행하게 된다. 이러한 접근 방식을 통해 I/O 작업이나 이벤트를 기다리는 태스크에 대해 최저 성능을 제공함으로써 실행 시간의 적은 손해를 대가로 많은 에너지 절감을 이룰 수 있다. 또한, 태스크의 속성이 변한 경우 타임 슬라이스 길이 만큼의 지체만을 허용하게 된다. 이러한 TIB 인터벌에 기반한 알고리즘에 비해 개별 태스크의 특성에 따른 성능 조절과 태스크의 변화에 따른 빠른 반응을 자랑으로 한다. 본 논문에선 TIB 알고리즘을 리눅스 커널에 구현하여 성능을 평가하였고 그 결과 리눅스에서 사용되는 기존 인터벌 기반의 알고리즘들에 비해 좋은 전력 절감 효과를 얻을 수 있었다.

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Non-hierarchical Clustering based Hybrid Recommendation using Context Knowledge (상황 지식을 이용한 비계층적 군집 기반 하이브리드 추천)

  • Baek, Ji-Won;Kim, Min-Jeong;Park, Roy C.;Jung, Hoill;Chung, Kyungyong
    • Journal of the Institute of Convergence Signal Processing
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    • v.20 no.3
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    • pp.138-144
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    • 2019
  • In a modern society, people are concerned seriously about their travel destinations depending on time, economic problem. In this paper, we propose an non-hierarchical clustering based hybrid recommendation using context knowledge. The proposed method is personalized way of recommended knowledge about preferred travel places according to the user's location, place, and weather. Based on 14 attributes from the data collected through the survey, users with similar characteristics are grouped using a non-hierarchical clustering based hybrid recommendation. This makes more accurate recommendation by weighting implicit and explicit data. The users can be recommended a preferred travel destination without spending unnecessary time. The performance evaluation uses accuracy, recall, F-measure. The evaluation result was shown 0.636 accuracy, 0.723 recall, and 0.676 F-measure.

Independent Component Analysis Based on Neural Networks Using Hybrid Fixed-Point Algorithm (조합형 고정점 알고리즘에 의한 신경망 기반 독립성분분석)

  • Cho, Yong-Hyun
    • The KIPS Transactions:PartB
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    • v.9B no.5
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    • pp.643-652
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    • 2002
  • This paper proposes an efficient hybrid fixed-point (FP) algorithm for improving performances of the independent component analysis (ICA) based on neural networks. The proposed algorithm is the FP algorithm based on secant method and momentum for ICA. Secant method is applied to improve the separation performance by simplifying the computation process for estimating the root of objective function, which is to minimize the mutual informations of the independent components. The momentum is applied for high-speed convergence by restraining the oscillation if the process of converging to the optimal solution. It can simultaneously achieve a superior properties of the secant method and the momentum. The proposed algorithm has been applied to the composite fingerprints and the images generated by random mixing matrix in the 8 fingerprints of $256\times{256}$-pixel and the 10 images of $512\times{512}$-pixel, respectively. The simulation results show that the proposed algorithm has better performances of the separation speed and rate than those using the FP algorithm based on Newton and secant method. Especially, the secant FP algorithm can be solved the separating performances depending on initial points settings and the nonrealistic learning time for separating the large size images by using the Newton FP algorithm.

Comparison between Neural Network and Conventional Statistical Analysis Methods for Estimation of Water Quality Using Remote Sensing (원격탐사를 이용한 수질평가시의 인공신경망에 의한 분석과 기존의 회귀분석과의 비교)

  • 임정호;정종철
    • Korean Journal of Remote Sensing
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    • v.15 no.2
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    • pp.107-117
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    • 1999
  • A comparison of a neural network approach with the conventional statistical methods, multiple regression and band ratio analyses, for the estimation of water quality parameters in presented in this paper. The Landsat TM image of Lake Daechung acquired on March 18, 1996 and the thirty in-situ sampling data sets measured during the satellite overpass were used for the comparison. We employed a three-layered and feedforward network trained by backpropagation algorithm. A cross validation was applied because of the small number of training pairs available for this study. The neural network showed much more successful performance than the conventional statistical analyses, although the results of the conventional statistical analyses were significant. The superiority of a neural network to statistical methods in estimating water quality parameters is strictly because the neural network modeled non-linear behaviors of data sets much better.

The effect of public housing on depression (공공임대주택거주가 우울에 미치는 영향)

  • Lim, Se-hee
    • Korean Journal of Social Welfare Studies
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    • v.44 no.3
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    • pp.5-30
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    • 2013
  • The aim of this study is to identify the influence of public housing on depression of its residents by analyzing the 7th Korea welfare panel study. To reduce the selection bias which arise from the public housing is selected by personal choice, we used PSM(propensity score matching). In addition, we merged the result of PSM and OLS regression to control the other variables which can affect depression of the resident of public housing. Final result revealed that the statistical significance which was observed when we compared the level of depression between the residents of public housing and general community by independent t-test was not observed when we used the merged result from PSM and regression. These results suggest that the high level of depression in the residents of public housing might be related with their demographic characteristics or earned income not with the public housing itself. This study can be the evidence supporting the policy of providing public housing because living in public housing did not give negative influence on its residents. Considering that this study also showed that there were no observable positive influences of public housing, we can suggest that public housing policy for majority of people not limited to people with low income.