• Journal of the Korean earth science society
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• v.29 no.6
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• pp.506-519
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• 2008

This article explores the potential learning materials and methods of science practice from exhibits, and how those are presented in natural history museums as a feasible science inquiry community. The idea of science inquiry community was offered as a form of science practice that ended with science learning. A grasp of 'scientific practice to learning' is understood as a way to conceive scientific methods as well as facts and understanding knowledge. To get educational implications on the scientific practice of 'earthquake' as a socioscientific topic in the communities, we analyzed 1) the relationship between earth science curriculum and exhibits related to 'earthquake', 2) the educational goals and intentions of educators, and 3) the characteristics of the exhibits in the American Museum of Natural History and in the Smithsonian National Museum of Natural History. The results of this study showed that those museums presented the exhibits consisting of various and practical cases and events of 'earthquakes' as a socioscientific topic related to their curriculum. At the target museum, it was clearly stated that the pursuing educational goals focused on relations with local interests and socioscientific issues. For making earthquakes relevant to visitors, delivering lived experiences with raw data and interactive media was emphasized in exhibit characteristics.

• The Journal of Korean Association of Computer Education
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• v.5 no.3
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• pp.1-9
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• 2002

For teaching-learning activities to be effective, the teaching methods need to reflect the contents of instructional materials and the characteristics of the learners. The purpose of this paper is to investigate the effective ways of teaching computer programming languages. The main components of teaching computer programming languages might be the characteristics of the language itself, the function of design, and general problem-solving capacity. But the analysis of the Quality and environments of learners is much more important. To improve the Quality of teaching computer programming languages, the structured syllabus needs to be provided and a variety of teaching methods such as project-based approach, problem-based approach, cooperative learning, peer tutoring and case study should be applied selectively, depending upon the instructional situations. In addition, procedural and constructive evaluation process needs to be developed to monitor each stage of learning and to give the guidelines of completing the course projects.

• Journal of Internet Computing and Services
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• v.15 no.6
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• pp.117-124
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• 2014

Cluttered background is a major obstacle in developing salient object detection and tracking system for mobile device captured natural scene video frames. In this paper we propose a context aware feature vector selection model to provide an efficient noise filtering by machine learning based classifiers. Since the context awareness for feature selection is achieved by searching nearest neighborhoods, known as NP hard problem, we apply a fast approximation method with complexity analysis in details. Separability enhancement in feature vector space by adding the context aware feature subsets is studied rigorously using principal component analysis (PCA). Overall performance enhancement is quantified by the statistical measures in terms of the various machine learning models including MLP, SVM, Naïve Bayesian, CART. Summary of computational costs and performance enhancement is also presented.

• The Journal of Bigdata
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• v.3 no.1
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• pp.1-12
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• 2018

Since the beginning of the first online shopping mall, BEST 100 is being provided as the core of all shopping mall websites. BEST 100 is greatly important because consumers can identify popular products at a glance. However, there are only studies using sales outcome indicators, and prior studies using BEST 100 are insignificant. Therefore, this study selected 11 online shopping malls and compared their main characteristics. As a research method, exploratory data analysis technique (EDA) was used by crawling the BEST 100 components of each shopping mall website, such as product name, price, and free shipping check. As a result, the total average price of 11 shopping malls was 72,891.41 won. Sales texts were classified into 8 categories by text mining. The most common category was the fashion part, but it is significant that the setting of the category analyzed the marketing text, not the product attribute. This study has implications for understanding the current online market flow and suggesting future directions by using EDA.

• Journal of KIISE:Computing Practices and Letters
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• v.14 no.2
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• pp.231-235
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• 2008

Recently we witnessed a few scandals on plagiarism among academic paper and novels. Plagiarism on documents is getting worse more frequently. Although plagiarism on English had been studied so long time, we hardly find the systematic and complete studies on plagiarisms in Korean documents. Since the linguistic features of Korean are quite different from those of English, we cannot apply the English-based method to Korean documents directly. In this paper, we propose a new plagiarism detecting method for Korean, and we throughly tested our algorithm with one benchmark Korean text corpus. The proposed method is based on "k-mer" and "local alignment" which locates the region of plagiarized document pairs fast and accurately. Using a Korean corpus which contains more than 10 million words, we establish a probability model (or local alignment score (random similarity by chance). The experiment has shown that our system was quite successful to detect the plagiarized documents.

• Knowledge Management Research
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• v.24 no.3
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• pp.35-52
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• 2023

The purpose of this study is to review the theoretical discussion on innovation and explore the direction of innovation based on the characteristics of Commissioned-service-type quasi-governmental institutions. In addition, by exploring the main contents and directions of innovation for knowledge creation, this study aims to derive directions for innovation in Commissioned-service-type quasi-governmental institutions. Since an innovation project is both a business and a public service, I conducted a theoretical review to categorize innovation projects using the discussion of service innovation. According to the theoretical framework, innovation in the public sector begins with exploring changes in environmental and social values. This process leads to the establishment of innovation goals and directions, as well as innovation tasks linked to the core competencies of each institution. It is important to note that the institutional conditions and characteristics of the contracting organization should be taken into account. In conclusion, considering these characteristics, Commissioned-service-type quasi-governmental institutions should check their efforts to achieve their innovation tasks and diagnose the conditions for innovation to which type of organization they belong.

• Journal of the Korean Society of Earth Science Education
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• v.17 no.2
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• pp.153-167
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• 2024

This study explored the errors and context occurred during high school students' data analysis processes. For the study, 222 data inquiry reports produced by 74 students from 'A' High School were collected and explored the detailed error types in the data analysis processes such as data collection and preprocessing, data representation, and data interpretation. The results of study found that in the data interpretation process, students had a somewhat insufficient understanding of seasonal variations and periodic patterns about weather elements. And, various types of errors were identified in the data representation process, such as basic unit in graphs, legend settings, trend lines. The causes of these errors are the feature of authoring tools, misconceptions related to weather elements, and cognitive biases, etc. Based on the study's results, educational implications for big data education, a significant topic in future science education, were derived. And related follow-up studies were suggested.

• 한국게임학회지
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• v.6 no.1
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• pp.52-54
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• 2009

프로그램된 정보를 사용하는 자율 가상 캐릭터는 항상 반복된 패턴 행동을 하기 때문에 사용자가 흥미를 잃는 경우가 많고 현실성도 떨어진다. 본 논문에서는 이러한 문제점을 해결하기 위해, 자율 가상캐릭터가 자율적으로 인지한 정보를 저장하고 저장한 정보를 활용하여 상황에 맞는 행동을 수행할 수 있는 메모리 체계를 제안한다. 본 논문은 자율 가상 캐릭터가 시각 주목으로 인지한 정보를 저장하고 관리하는 메모리 체계의 모델을 제시한다. 메모리 용량을 효율적으로 사용할 수 있도록 게임 환경에 적합한 빠른 시각 주목 알고리즘을 연구하여 중요하고 눈에 띄는 정보만 저장한다. 자율 가상 캐릭터의 인지 메모리를 크게 시각 기억와 공간 관계 기억 구조로 구성한다. 시각 기억은 쿼드그래프로 구현된 저장 구조에 인지한 정보를 저장한다. 공간 관계 기억은 공간 관계 그래프 이론을 기반으로 객체들간의 방향과 거리 정보를 저장한다. 본 논문의 제안 방법을 가상 환경에서 실험한 결과, 자율 가상 캐릭터는 시각 주목 기능으로 3차원 가상 환경의 동적 객체까지 감지하여 자율적으로 정보를 주목하여 저장하고 있음을 확인했다. 자율 가상캐릭터는 메모리 정보를 활용하여 목표 객체를 빠르게 탐색하며 길찾기에 필요한 경로 계획을 수립한다. 성능면에서는 주목맵만들기 위한 특징맵으로 가장 주목할 수 있는 특징들로 구성하여 처리속도가 1.6배 이상 향상됨을 확인했다.

• The Journal of the Acoustical Society of Korea
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• v.17 no.6
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• pp.37-42
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• 1998

본 논문에서는 SCHMM에 적용된 관찰 확률 최대화에 의한 화자 적응 알고리즘을 제안한다. 제안된 알고리즘은 SCHMM의 관찰 확률 밀도들이 새로운 화자의 음성 특징을 잘 표현하지 못하는 경우 인식 성능이 저하되는 것을 막기 위하여, 적응 데이터의 각 특징 벡터들이 최대의 관찰 확률을 가질 수 있도록 관찰 확률 밀도를 결정하는 평균 벡터 μ와 분산 행렬 Σ를 기울기 탐색(gradient search) 알고리즘에 의해 반복적으로 적응시켜 주는 방법이다. SCHMM의 상태 천이 확률 A와 혼합 밀도 계수 C는 관찰 확률 밀도 적응 과정 을 거친 후, 적응 데이터로부터 구한 확률과 기존 확률의 가중 평균을 취하는 과정을 반복 하여 적응시켜 주었다. 제안된 화자 적응 알고리즘을 사용하여 단독음 인식 실험을 수행한 결과, 화자 적응을 수행하지 않았을 때와 비교하여 화자 독립 시스템에서는 평균 9.8%, 남 성 화자 종속 시스템에서는 평균 46.0%, 여성 화자 종속 시스템에서는 평균 52.7%의 인식 률 향상을 보였다.

• Proceedings of the Korean Information Science Society Conference
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• 2010.06d
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• pp.375-379
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• 2010

Delay-Disruption Tolerant Network(DTN)는 stored-and-forward를 통한 비대칭 통신을 하며 이러한 통신에 적합한 라우팅을 고려하기 위한 연구가 지속적으로 진행 되고 있다. 이러한 라우팅은 Bundle layer에 스토리지를 두어 종 단간 연결이 끊어지더라도 메시지를 보존 할 수 있으며, 현재 이러한 DTN의 특징을 Mobile Ad-hoc Network(MANET)에 적용하여 노드의 이동성을 보다 다이나믹하게 유지 할 수 있도록 하는 연구가 진행되고 있다. 본 논문에서는 이동성이 잦은 지역에서 메시지를 효과적으로 전송하기 위하여 MANET과 DTN 의 특징이 적용된 네트워크 환경에서 AODV 라우팅 테이블 안에 Score를 두어 경로 재탐색이나 메시지 전송이 반복될 경우 Score 값을 기준으로 보다 우월한 노드를 찾을 수 있게 하였다.