• Proceedings of the Korean Society for Bioinformatics Conference
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• 2005.09a
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• pp.124-129
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• 2005

The Growing Self-Organizing Map (GSOM), an extended type of the Self-Organizing Map, is a widely accepted tool for clustering high dimensional data. It is also suitable for the clustering of short DNA sequences of phylogenetic genomes by their oligonucleotide frequency. The GSOM presents the result of the clustering process visually on a coloured map, where the clusters can be identified by the user. This paper describes a proposal for automatic cluster detection on this map without any participation by the user. It has been applied with good success on 20 different data sets for the purpose of species separation.

• Journal of Korea Multimedia Society
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• v.13 no.12
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• pp.1855-1862
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• 2010

In virtual reality, there are increasing qualitative development in service technologies for realtime interaction system development, 3- dimensional contents, 3D TV and augment reality services. These services experience difficulties to generate depth value that is essential to recover 3D space to form solidity on existing contents. Hence, research for the generation of effective depth-map using 2D is necessary. This thesis will describe a shortcoming of an existing depth-map generation for the recovery of 3D space using 2D image and will propose an enhanced depth-map generation algorithm that complements a shortcoming of existing algorithms and utilizes the definition of depth direction based on the vanishing point within image.

• Journal of Korean Elementary Science Education
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• v.33 no.1
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• pp.44-56
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• 2014

이 연구의 목적은 인지적 전략인, 갈등도(Oh, 2011)를 기반으로 학생들이 명시적으로 과학의 본성(NOS)의 교육을 돕기 위하여 과학의 본성요소뿐만 아니라 과학의 역사를 담은 NOS Flow Map을 개발 제안하는 것이다. 예비적으로 과학의 본성의 교육을 위해 제안한 NOS Flow Map을 사용에 대한 이해를 탐색하기 위하여, 자신들의 NOS 이해를 강화하기 위해 우리가 제안한 NOS Flow Map의 유용성에 대한 예비 초등교사들의 인식를 조사하였다. 과학의 본성에 대한 중요한 관점들은 Kuhn의 과학철학과 역사가 아주 잘 일치된다. 즉 Kuhn의 과학혁명의 예로 가장 중요한 Copernicus의 혁명과정이 과학의 본성 중요한 요소들과 잘 일치됨을 보여준다. 따라서 이 연구에서 인지갈등을 통한 NOS 흐름도는 과학의 소양교육을 강화하는데 명시적이고 반성적인 도구이며 유망한 방법이라고 조심스럽게 제안한다.

• Proceedings of the IEEK Conference
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• 2006.06a
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• pp.697-698
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• 2006

In this paper, we propose a new scheme to generate multi-view images using a depth-image-based rendering (DIBR) technique. In order to improve the quality of multi-view images at newly exposed areas during mesh-based rendering, we preprocess the depth map using a Gaussian smoothing filter. Previous algorithms apply a smoothing filter to the whole depth map even if the depth map is collapsed. After extracting objects from the depth map, we apply the smoothing filter to their boundaries. Finally, we cannot only maintain the depth quality, but also generate high quality multi-view images. Experimental results show that our proposed algorithm outperforms previous works and supports an efficient depth keying technique.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.11a
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• pp.1265-1267
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• 2008

현대 사회에서는 Wibro, HSDPA 등 이동하면서 데이터 전송을 보장할 수 있는 무선 통신 기술들에 대한 관심이 증가하고 있어 Mobile IP의 중요성은 더욱 커지고 있다. 현재 MIPv6에 계층 구조를 도입하여 잦은 핸드오버를 방지하고 있지만, 기존의 거리 기반 MAP 선택 방법은 도메인의 크기가 커져 시그널링 부하가 MAP으로 집중되는 병목현상이 일어나고 있다. 또한 핸드오버에 따른 패킷 손실, 시간 지연의 문제점이 있다. 본 논문에서는 MN의 속도에 따른 2계층 MAP을 동적으로 설정함으로써 효율적인 통신을 지원할 수 있는 방법을 제안한다.

• Proceedings of the Korea Society of Design Studies Conference
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• 2005.10a
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• pp.94-95
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• 2005

• Journal of Environmental Science International
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• v.13 no.6
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• pp.489-495
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• 2004

The purpose of this research is to apply GIS(Geographic Information System) for the road simulation and find some benefits analysis for the design processes. The northern Jeju island was selected as a case study. The 1/5,000 digital map and GIS technique were used for optimum road design of the island based on Arc View software. Using this software we can get an overlay map by combination of hill shade map, slope map, aspect map, and building buffer map. Based on the overlay map, we designed the optimum road line and performed three dimensional simulation. From the results, we found that the developed three dimensional road simulation technique using GIS technique that was very useful tool to estimate the reasonable road design before the real road construction works.

• Journal of radiological science and technology
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• v.42 no.6
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• pp.491-496
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• 2019

The purpose of this study was to apply a concept map to the first-year students of radiologic science and report its effects. The concept map is a visual representation of a major concept and related linking statements. Concept maps are useful tools for students to construct and organize content they have learned. The subjects of this study were first-year grade and at one university in Chungbuk, Korea. They were divided into active and passive participant groups in the class. And they were evaluated the educational effects such as satisfaction, fidelity, learning achievement, and interest before and after using the concept map. As a result, the passive participant group significantly increased the educational effect except for satisfaction, and the active participant group significantly increased the educational effect in all variables (p<0.05). These results showed that concept mapping, which induces first-year grade students to participate in class, could be helpful in radiologic education. It is expected to be used as basic data in various radiologic educational methodology studies in the future.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06a
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• pp.24-26
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• 2012

하드웨어 컴퓨팅 자원의 성능을 최대로 활용하기 위한 소프트웨어 기술로 가상 머신 기술이 활발하게 사용되고 있다. 또, 하드웨어 컴퓨팅 자원의 병렬성을 극대화하기 위한 소프트웨어 기술로 함께 주목 받고 있는 기술이 분산 병렬 프로그래밍 기술이다. 그러나 가상머신에서 데이터를 병렬로 처리할 경우 I/O의 속도 저하 문제 등과 같은 단점이 있다. 본 논문에서는 성능 저하 없이 가상 머신에서 병렬 프로그래밍을 수행할 수 있도록 가상 머신에서의 태스크 개수 결정을 위한 선행 연구로서, 가상 머신 환경을 만들고, 여러 가지 속성 값을 변경하여 MapReduce 성능 평가결과를 보인다. 본 논문에서 수행한 실험의 결과는 가상머신에서의 MapReduce 태스크 결정 방법으로 연구에 참고자료로 사용될 수 있을 것이다.

• International Journal of Computer Science & Network Security
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• v.22 no.5
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• pp.121-126
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• 2022

Hadoop and Apache Spark are Apache Software Foundation open source projects, and both of them are premier large data analytic tools. Hadoop has led the big data industry for five years. The processing velocity of the Spark can be significantly different, up to 100 times quicker. However, the amount of data handled varies: Hadoop Map Reduce can process data sets that are far bigger than Spark. This article compares the performance of both spark and map and discusses the advantages and disadvantages of both above-noted technologies.