• Journal of the Korea Convergence Society
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• v.12 no.2
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• pp.51-60
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• 2021

Due to the growth of digital media technology, there is increasing demand of personalized education based on context data of learners throughout overall education area. For music education, several studies have been conducted for providing appropriate educational contents to learners by considering some factors such as the proficiency, the amount of practice, and their capability. In this paper, a technique has been defined to recommend the appropriate music scores to learners by extracting and analyzing the practice data and chord data. Concretely, several meaningful relationships among chords patterns and learners were analyzed and visualized by constructing the learners' profiles of proficiency, extracting the chord sequences from music scores. In addition, we showed the potential for use in personalized education by analyzing music similarity, learner's proficiency similarity, learner's proficiency of music and chord, mastered chords and chords sequence patterns. After that, the chord practice programs can be effectively generated considering various music scores using the synthetically summarized chord sequence graphs for the music scores that the learners selected.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.23 no.10
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• pp.1204-1211
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• 2012

Measurement and analysis results of the extracted radiation-patterns from the field-experiments which were conducted to acquire the generic technology for calibration and validation of the satellite SAR system(Synthetic Aperture Radar) are presented in this study. Prototype of active transponder is adjustable within maximum 63.1 dBsm of RCS (Radar Cross Section) and includes the receiving-function with external receiver. To increase an accuracy of these field experiments, we repetitively measured satellite SAR systems of the same operating mode(i.e., COSMO-SkyMed No. 2 & 3, hh-pol., strip-map himage mode, 3 m resolution). Then, the reliability of experimental results was cross-checked through analysis of the RCS of active transponder on SAR image. The property of azimuth radiation patterns of satellite SAR system extracted from them has $0.352^{\circ}$ of HPBW(half-power beamwidth), $0.691^{\circ}$ of FNBW(first-null beamwidth), and 11.17 dB of PSLR(peak to side lobe ratio), respectively.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2007.11a
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• pp.82-85
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• 2007

현재 가정을 비롯한 여러 분야에서 서비스 로봇(청소 로봇, 애완용 로봇, 멀티미디어 로봇 둥)의 사용이 증가하고 있는 시장상황을 보이고 있다. 개인용 서비스 로봇은 인간 친화적 특성을 가져야 그 선호도가 높아질 수 있는데 이를 위해서 사용자의 감정 인식 및 표현 기술은 필수적인 요소이다. 사람들의 감정 인식을 위해 많은 연구자들은 음성, 사람의 얼굴 표정, 생체신호, 제스쳐를 통해서 사람들의 감정 인식을 하고 있다. 특히, 음성을 인식하고 적용하는 것에 관한 연구가 활발히 진행되고 있다. 본 논문은 감정 인식 시스템을 두 가지 방법으로 제안하였다. 현재 많이 개발 되어지고 있는 음성인식 모듈을 사용하여 단어별 감정을 분류하여 감정 표현 시스템에 적용하는 것과 마이크로폰을 통해 습득된 음성신호로부터 특정들을 검출하여 Bayesian Learning(BL)을 적용시켜 normal, happy, sad, surprise, anger 등 5가지의 감정 상태로 패턴 분류를 한 후 이것을 동적 감정 표현 알고리즘의 입력값으로 하여 dynamic emotion space에 사람의 감정을 표현할 수 있는 ARM 플랫폼 기반의 음성 인식 및 감정 표현 시스템 제안한 것이다.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.846-850
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• 2009

본 논문은 픽토그램(Pictogram)의 시각전달 요소를 재해석하고 증강현실 환경에서의 효율적 전달 방법에 대하여 제안한다. 픽토그램은 국경을 넘어 남녀노소 모두가 인지할 수 있어야 함이 규칙이며 불특정 다수라는 사용자들을 위해 정확한 정보를 담고 있는 시각전달 매체로서 공정성, 객관성을 가지고 디자인 되어야 한다. 사용자에게 정보전달 인식을 높이기 위해 표준 픽토그램 과 문화 속에서 발견할 수 있는 행위들을 접목하여 애니메이션으로 제작하고, 이를 다양한 연구분야에서 응용되고 있는 증강현실 (Augmented Reality 또는 AR) 기술에 적용하여 표현하였다. 증강현실은 사용자-콘텐츠 정보전달 매체로서 현실 환경을 기반으로 하는 3 차원공간의 시각정보에 대한 사용자의 인식을 향상시킬 수 있는 방법으로 인간-컴퓨터 상호작용(Human-Computer Interaction)을 제공한다. 본 논문에서 제시된 픽토메이션은 기존 공공장소 어디서나 만날 수 있는 다양한 픽토그램을 패턴화하여 마커로 활용하고 사용자는 현재 널리 보급되고 있는 UMPC 혹은 PDA를 통하여 증강현실 환경에서 제작된 픽토메이션 콘텐츠를 경험해 볼 수 있다. 픽토메이션은 시각커뮤니케이션의 효과를 증가 시킬 수 있고, 정보습득의 주체인 사용자에게 콘텐츠의 종류를 예측할 수 있는 선택의 자유를 준다. 본 논문에서는 멀티미디어디자인 요소를 포함한 콘텐츠와의 실시간 상호작용을 통하여 유희적 요소의 접목을 시도하고 증강현실환경에서 Pictomation을 통하여 사용자들과의 효과적 커뮤니케이션을 위한 방법을 모색하고자 한다.

• Annual Conference on Human and Language Technology
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• 2002.10e
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• pp.85-91
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• 2002

최근 정보 추출, 질의응답 시스템 등의 고정밀 자연어처리 어플리케이션이 부각됨에 따라 개체명 인식의 중요성이 더욱 커지고 있다. 이러한 개체명 인식을 위한 학습에는 대용량의 어휘자료를 필요로 하기 때문에 충분한 학습 데이터, 즉 개체명 태그가 부착된 충분한 코퍼스가 제공되지 못하는 경우 자료희귀문제(data sparseness problem)로 인하여 목적한 효과를 내지 못하는 경우가 않다. 그러나 태그가 부착된 코퍼스를 생성하는 일은 시간과 인력이 많이 드는 힘든 작업이다. 최근 인터넷의 발전으로 웹 데이터는 그 양이 매우 많으며, 습득 또한 웹 검색 엔진을 사용해서 자동으로 모음으로써 다량의 말뭉치를 모으는 것이 매우 용이하다. 따라서 최근에는 웹을 무한한 언어자원으로 보고 웹에서 필요한 언어자원을 자동으로 뽑는 연구가 활발히 진행되고 있다. 본 연구는 이러한 연구의 첫 시도로 웹으로부터 다량의 원시(raw) 코퍼스를 얻어 개체명 태깅 학습을 위한 태그 부착 코퍼스를 자동으로 생성하고 이렇게 생성된 말뭉치를 개체면 태깅 학습에 적용하는 비교 실험을 통해 수집된 말뭉치의 유효성을 검증하고자 한다. 향후에는 자동으로 웹으로부터 개체 명 태깅 규칙과 패턴을 뽑아내어 실제 개체명 태거를 빨리 개발하여 유용하게 사용할 수 있다.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.28 no.4
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• pp.501-518
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• 2017

Reducing the time it takes for researchers to acquire knowledge and introduce them into research activities can be regarded as an indispensable factor in improving the productivity of research. The purpose of this research is to cluster the information usage patterns of KOSEN users and to suggest optimization method of personalized recommendation service algorithm for grouped users. Based on user research activities and usage information, after identifying appropriate services and contents, we applied a Spark based big data analysis technology to derive a personal recommendation algorithm. Individual recommendation algorithms can save time to search for user information and can help to find appropriate information.

• Journal of Practical Engineering Education
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• v.10 no.1
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• pp.35-39
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• 2018

More and more universities are enforcing SW education for non-major undergraduates. However, they are experiencing difficulties in educating non-major students to understand computational thinking processes. In this paper, we did not use the mathematical operation problem to solve this problem. And we proposed a basic problem-solving process teaching method based on computational thinking using simple physical devices. In the proposed educational method, we teach a LED circuit using an Arduino board as an example. And it explains the problem-solving process with computational thinking. Through this, students learn core computational thinking processes such as abstraction, problem decomposition, pattern recognition and algorithms. By applying the proposed methodology, students can gain the concept and necessity of computational thinking processes without difficulty in understanding and analyzing the given problem.

• Korean Journal of Environment and Ecology
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• v.22 no.5
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• pp.505-513
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• 2008

The purpose of this study is to analyze the distribution patterns and characteristics of plant species by human impact in urban areas. In order to achieve a comprehensive data acquisition of all autogenously introduced vascular plant species occurring in the city of Cheon-ju, this study made an analysis of 106 sample plots, each with a size of one hectare, These sample plots were selected to represent the typical land-use patterns within the city of Cheon-ju and to cover the various distances from the city center. Species richness, patterns of life forms, and the percentage of non-native species were analyzed in relation to the degree of hemeroby of the sample plots. It was found that the species number appeared the largest in sites that were moderately influenced. This result corresponds to the intermediate disturbance hypothesis that moderate disturbance leads to an increase in species richness. The flora of sites which were subject to the highest level of human impact, was characterized by a high proportion of annual species and non-native species. In addition, some species were divided into three groups with similar distribution corresponding to land-use type and urban zone: urbanophobic (e.g. Indigofera kirilowii, Prunus sargentii, Rhus trichocarpa), urbanoneutral (e.g. Commelina communis, Erigeron annuus, Metaplexis japonica) and urbanophilus (e.g. Euphorbia supina, Senecio vulgaris, Taraxacum officinale).

• Journal of Yeungnam Medical Science
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• v.18 no.2
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• pp.253-266
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• 2001

Background: The causes of ADHD(attention deficit hyperactivity disorder) are various, so it is impossible to understand the whole characteristics of ADHD, only with simple intelligence testing scales. We compared cognitive characteristics of ADHD group with normal controls with Korean Kaufman Assessment Battery for Children(K-ABC). It is well known to evaluate neuropsychological and cognitive aspects of the children. Materials and Methods: Age and sex matched 40 ADHD patients and 40 normal controls tested with the K-ABC. Each subscales compared between pre-treatment patients and controls, pre-treatment and post-treatment in patient group, post-treatment patients and controls. Results: Significant differences are observed in sequential processing, simultaneous processing, cognitive processing and achievement between pre-treatment patients and controls, and in gestalt closure between pre-treatment and post-treatment patients group. But there are no significant differences between pre-treatment patients and controls in gestalt closure and reading/decoding. Conclusions: Methylphenidate improved the scores of simultaneous scale, which means improvement of executive functions such as divided attention, analysis and organization. Methylphenidate also reduced distractibility.

• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.497-502
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• 2022

Information delivery among young generation has a distinct tendency to prefer visual to text as means of information distribution and sharing recently, and it is natural to distribute information through Youtube or one-man broadcasting on Internet. That is, young generation usually get their information through this kind of distribution procedure. Many young generation are also drastic and more aggressive for decorating themselves very uniquely. It tends to create personal characteristics freely through drastic expression and attempt of face makeup, hair styling and fashion coordination without distinction of sex. Especially, face makeup becomes an object of major concern among males nowadays, and female of course, then it is the major means to express their personality. In this study, to meet the demands of the times, we design and implement the intellectual smart mirror application that efficiently retrieves and recommends the related videos among Youtube or one-man broadcastings produced by famous professional makeup artists to implement the face makeup congruous with our face shape, hair color & style, skin tone, fashion color & style in order to create the face makeup that represent our characteristics. We also introduce the AI technique to provide optimal solution based on the learning of user's search patterns and facial features, and finally provide the detailed makeup face images to give the chance to get the makeup skill stage by stage.