• Proceedings of the Korean Society for Bioinformatics Conference
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• 2000.11a
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• pp.59-60
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• 2000

The past few years have seen a dramatic increase in gene expression data on the basis of DNA microarrays or DNA chips. Going beyond a generic view on the genome, microarray data are able to distinguish between gene populations in different tissues of the same organism and in different states of cells belonging to the same tissue. This affords a cell-wide view of the metabolic and regulatory processes under different conditions, building an effective basis for new diagnoses and therapies of diseases. In this talk we present machine learning techniques for effective mining of DNA microarray data. A brief introduction to the research field of machine learning from the computer science and artificial intelligence point of view is followed by a review of recently-developed learning algorithms applied to the analysis of DNA chip gene expression data. Emphasis is put on graphical models, such as Bayesian networks, latent variable models, and generative topographic mapping. Finally, we report on our own results of applying these learning methods to two important problems: the identification of cell cycle-regulated genes and the discovery of cancer classes by gene expression monitoring. The data sets are provided by the competition CAMDA-2000, the Critical Assessment of Techniques for Microarray Data Mining.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10a
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• pp.586-588
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• 2003

급격한 교육 환경 변화와 정보 통신망의 보급.확대로 학교 교육의 정보통신 활용 학습 체제로의 전환이 가속화되고 있는 시대적 요청에 부응하여 가장 쉽게 인터넷에 접속할 수 있으면서, 학습자들이 흥미를 갖는 웹 기반 모듈형 교수.학습 자료를 개발하였다. 모듈형 웹 자료를 개발하고. 이를 교수.학습 활동에 적용하여 수업을 진행 한 결과 학습자들의 학습에 대한 흥미도와 학습 내용의 이해도 및 학업 성취도를 고취시켰으며, 또한 자기 주도적 탐구 학습이 가능하여 과학과 탐구 학습 수행 능력이 크게 향상되었다.

• Molecules and Cells
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• v.46 no.1
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• pp.65-67
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• 2023

SMILES (simplified molecular-input line-entry system) information of small molecules parsed by one-hot array is passed to a convolutional neural network called black box. Outputs data representing a gene signature is then matched to the genetic signature of a disease to predict the appropriate small molecule. Efficacy of the predicted small molecules is examined by in vivo animal models. GSEA, gene set enrichment analysis.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.04a
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• pp.1058-1061
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• 2010

시맨틱 웹 서비스 기술의 성공을 보장하기 위해서는 품질 좋은 온톨로지의 사용이 필수적이다. 하지만 온톨로지 사용의 중요성에도 불구하고 현재 웹 서비스를 위한 온톨로지는 거의 존재하지 않으며 이들의 구축도 쉬운 일이 아니다. 이러한 문제는 오늘날 웹 서비스의 확산과 발전을 가로막는 큰 저해요인이 되고 있다. 본 논문에서는 웹 서비스를 개발할 때 자동 생성되는 WSDL 문서만 가지고 항목 간 숨어있는 시맨틱 정보를 찾아내어 온톨로지를 자동 구축하고, 이를 활용한 (반)자동화된 웹 서비스 발견 및 조합 시스템을 구현하는 것이다.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.380-382
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• 2022

Extracting informative representation of molecules using graph neural networks(GNNs) is crucial in AI-driven drug discovery. Recently, the graph research community has been trying to replicate the success of self supervised in natural language processing, with several successes claimed. However, we find the benefit brought by self-supervised learning on applying varitional auto-encoders can be potentially effective on molecular data.

• The Journal of the Korea Contents Association
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• v.6 no.11
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• pp.249-259
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• 2006

E-learning objects should be appropriately described and classified using standard metadata for facilitating the processes of e-learning resource description, discovery and reuse. These metadata need to be published in a registry to reduce duplication of effort and enhance semantic interoperability. This paper describes how standard ebXML registries can be used for annotating, storing, discovering and retrieving e-learning object metadata. For semantic annotation of e-learning objects, IEEE LOM is adopted as the metadata ontology. In order to support the e-learning metadata ontology in interoperable ebXML registries, a mapping scheme between LOM and ebXML information model is proposed. The usefulness of standard ebXML registries for sharing e-learning metadata is demonstrated by prototyping an e-learning registry called ebRR4LOM based on the scheme.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.8
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• pp.2831-2845
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• 2022

Compared to the significant approach of project-based learning research, a data-driven design project-based learning has not reached a meaningful consensus regarding the most valid and reliable method for assessing design creativity. This article proposes an advanced information data-interactive learning system for creative design using a service design process that combines a design thinking. We propose a service framework to improve the convergence design process between students and advanced information data analysis, allowing students to participate actively in the data visualization and research using patent data. Solving a design problem by discovery and interpretation process, the Advanced information-interactive learning framework allows the students to verify the creative idea values or to ideate new factors and the associated various feasible solutions. The student can perform the patent data according to a business intelligence platform. Most of the new ideas for solving design projects are evaluated through complete patent data analysis and visualization in the beginning of the service design process. In this article, we propose to adapt advanced information data to educate the service design process, allowing the students to evaluate their own idea and define the problems iteratively until satisfaction. Quantitative evaluation results have shown that the advanced information data-driven learning system approach can improve the design project - based learning results in terms of design creativity. Our findings can contribute to data-driven project-based learning for advanced information data that play a crucial role in convergence design in related standards and other smart educational fields that are linked.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.2
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• pp.244-251
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• 2007

Intention reading technique is essential to provide personalized services toward more convenient and human-friendly services in complex ubiquitous environment such as a smart home. If a system has knowledge about an user's intention of his/her behavioral pattern, the system can provide mote qualified and satisfactory services automatically in advance to the user's explicit command. In this sense, learning capability is considered as a key function for the intention reading technique in view of knowledge discovery. In this paper, ore introduce a personalized media control method for a possible application iii a smart home. Note that data pattern such as human behavior contains lots of inconsistent data due to limitation of feature extraction and insufficiently available features, where separable data groups are intermingled with inseparable data groups. To deal with such a data pattern, we introduce an effective engineering approach with the combination of fuzzy logic and probabilistic reasoning. The proposed learning system, which is based on IFCS (Iterative Fuzzy Clustering with Supervision) algorithm, extract probabilistic fuzzy rules effectively from the given numerical training data pattern. Furthermore, an extended architectural design methodology of the learning system incorporating with the IFCS algorithm are introduced. Finally, experimental results of the media contents recommendation system are given to show the effectiveness of the proposed system.

• 한국HCI학회:학술대회논문집
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• 2006.02a
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• pp.760-765
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• 2006

디자인 패턴의 사용은 시스템을 좀 더 유연하고, 이해하기 쉽고, 재사용 가능하게 만든다. 개발이 완료된 시스템이 명확하게 문서화가 되어 있으면, 시스템의 내부 구조를 이해하기 쉽고, 향후 유지 보수의 비용이 적게 든다. 하지만, 대부분 시스템의 경우 개발된 시스템의 문서화가 잘 되어 있지 않기 때문에, 시스템에 문제가 생겨 수정 하고자 하거나, 새로운 모듈을 추가하여 시스템의 기능을 확장하고자 할 때, 전체 소스코드를 분석하여 시스템을 이해해야 하는 어려움이 있다. 이러한 문제점을 해결하기 위해서 소스코드에서 자동적으로 디자인 패턴을 인식하여 문서화를 증진시킬 수 있다. 따라서 신뢰할 만한 디자인 패턴 인식 시스템이 중요하다. 지금까지 디자인 패턴 인식 방법은 시스템의 구조적인 특징만을 이용하여 패턴을 인식하여 왔다. 그래서 본 논문은 구조적인 특징뿐만 아니라 동적인 분석, 그리고 자동학습(machine learning)에 기반하여 소스코드로부터 디자인 패턴을 인식하는 방법을 제안하고자 한다. 그리고 전 작업에서 만든 자바로 쓰여진 에이전트 개발 툴을 대상으로 실시하여 인식한 디자인 패턴에 대한 평가를 하였다.

• Journal for History of Mathematics
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• v.28 no.3
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• pp.151-164
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• 2015

The purpose of this paper is to develop a teaching and learning material integrated two subjects Pythagorean theorem and Fibonacci numbers. Traditionally the former subject belongs to geometry area and the latter is in algebra area. In this work we integrate these two issues and make a discovery method to generate infinitely many Pythagorean numbers by means of Fibonacci numbers. We have used this article as a teaching and learning material for a science high school and found that it is very appropriate for those students in advanced geometry and number theory courses.