• Quality Improvement in Health Care
• /
• v.17 no.1
• /
• pp.61-66
• /
• 2011

문제: 병원에서는 잘못 사용하는 신체 관련 언어, 문법적으로 틀린 말, 비속어, 지나친 겸양어, 잘못 사용하는 존칭어, 격에 안 맞는 준말 등으로 내부 및 외부 고객과의 의사전달이 정확하지 않은 경우가 흔히 있다. 병원 직원의 부적절한 언어 사용은 외부 고객 유치 및 유지를 방해하며, 병원의 이미지 실추와도 관련이 있다. 목적: 바른 언어 표현법 매뉴얼과 동영상 구축 및 활용으로 내부 및 외부 고객의 만족도를 향상시키고자 한다. 의료기관: 서울시 종로구에 소재한 대학병원 질 향상 활동: 바른 언어 표현법 매뉴얼 구축 후 동영상을 완성하여 병원의 모든 직원들이 학습하여 활용할 수 있도록 하였다. 개선효과: 바른 언어 표현법을 잘 학습하면 바른 언어를 사용하는 습관을 가지게 되어 의사전달이 명확해지고 표현이 풍부해지며 상호간 이해하는 폭이 넓어져 내부 고객 및 외부 고객의 만족도가 향상될 것이다. 또한 병원직원 전체 언어생활의 품격이 높아질 뿐만 아니라 병원의 위상도 높아질 것이다.

• Science of Emotion and Sensibility
• /
• v.15 no.2
• /
• pp.183-192
• /
• 2012

This study aims at expressing the correlation of 'creativity' and 'emotional intelligence' in cartoon expression learning through literary research and correlation analysis. Analyses were made on each sub-factor for the self emotional intelligence evaluation and the creativity evaluation made by experts through cartoon expressions by elementary school students, who are the learners. Studies on preceding research showed that creativity and emotional intelligence had a correlation and that it is common preception that higher creativity is equivalent to higher emotional intelligence. However, results of correlation analysis in this study showed that while there is a relation between creativity evaluation and emotional intelligence in cartoon expression learning, not all factors were correlated. Furthermore, the results of emotional evaluation of the upper and lower group learners did not show similar results in the creativity evaluation. Through this study, it can be said that for emotional intelligence and creativity factors, finding the appropriate emotional intelligence development method would be the way to enhance creativity. Therefore, in order to develop creativity through cartoon expression learning, systematic research should be performed for extracting the relative emotional intelligence factors.

• Archives of design research
• /
• v.15 no.1
• /
• pp.113-122
• /
• 2002

This thesis is focused on online education and proposes a guideline for selecting teaming theories and multimedia representation without difficulty. On the first, consideration of learning theories and analysis of multimedia properties are made, and from these results guidelines are formed. Then they are applied to each 6 types of CAI. Objectivism and constructivism could be used for the basic framework of CAI. The former is suitable for reed, sequential, structural, and passive learning style and the latter is suitable for selectable, unstructural, active, self-controled, learning style. And the quideline for selecting multimedia representation is made out of the properties of media, learners(cognitive model, proficiency, acceptance), and teaming contents. On the basis of guideline obtaining from the previous process, I suggest mosts suitable conditions for each 6 types of CAI available today. Those conditions are consist of learning theories, media selection, levels of learners, and categories and properties of teaming contents.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2017.04a
• /
• pp.941-944
• /
• 2017

심층 학습에 기반을 둔 통계적 언어모형에서 가장 중요한 작업은 단어의 분산 표현(Distributed Representation)이다. 단어의 분산 표현은 단어 자체가 가지는 의미를 다차원 공간에서 벡터로 표현하는 것으로서, 워드 임베딩(word embedding)이라고도 한다. 워드 임베딩을 이용한 심층 학습 기반 통계적 언어모형은 전통적인 통계적 언어모형과 비교하여 성능이 우수한 것으로 알려져 있다. 그러나 워드 임베딩 역시 자료 부족분제에서 벗어날 수 없다. 특히 학습데이터에 나타나지 않은 단어(unknown word)를 처리하는 것이 중요하다. 본 논문에서는 고품질 한국어 워드 임베딩을 위하여 단어의 의미적 계층정보를 이용한 워드 임베딩 방법을 제안한다. 기존연구에서 제안한 워드 임베딩 방법을 그대로 활용하되, 학습 단계에서 목적함수가 입력 단어의 하위어, 동의어를 반영하여 계산될 수 있도록 수정함으로써 단어의 의미적 계층청보를 반영할 수 있다. 본 논문에서 제안한 워드 임베딩 방법을 통해 생성된 단어 벡터의 유추검사(analog reasoning) 결과, 기존 방법보다 5%가 증가한 47.90%를 달성할 수 있었다.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2024.01a
• /
• pp.419-422
• /
• 2024

본 논문에서는 다항식 보간법의 일종인 이동최소자승법(Moving least squares, MLS)을 네트워크로 학습하여, Divergence-constrained MLS 벡터장을 효율적으로 표현하는 방법을 제안한다. 벡터장을 구성하기 위해 MLS는 스칼라가 아닌 벡터 보간을 해야 하므로 행렬과 벡터의 크기가 더 커지며, 이는 계산량이 커짐을 나타낸다. 고차 보간(High-order interpolation)이 가능한 특징은 장점이 되지만, 계산량이 매우 크기 때문에 시뮬레이션에는 활용이 어렵다. Divergence-constrained MLS를 유체 시뮬레이션에 적용한 경우가 있지만, 실제로 슈퍼컴퓨터(Supercomputer)를 해야 장면 제작이 가능하므로 효용성이 떨어진다. 본 논문에서는 이러한 문제를 해결하기 위해 네트워크 학습을 통한 Divergence-constrained MLS 벡터장을 표현할 수 있는 결과를 보여준다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
• /
• 1997.10a
• /
• pp.327-330
• /
• 1997

패턴인식중에서 가장 기본적인 문제인 판별문제를 대상으로 러프집합을 이용한 판별분석을 행하는 신경망의 학습알고리즘을 제안한다. 어떤군에 속할 것인가의 경계영역을 명확히 하는 것을 목적으로 한다. 2군 판별의 문제를 각 데이터가 각 군에 속한 정도를 표현하는 소속함수(membership function)을 이용하며, 경계영역에 대한 문제는 소속함수를 구간치 함수로 확장하여 가능성과 필연성을 동시에 표현할 수 있는 학습 알고리즘을 제안한다.

• The Journal of the Korea Contents Association
• /
• v.16 no.2
• /
• pp.643-651
• /
• 2016

This study considers the value of English-language films as material for learning a foreign tongue using posh discourse. In daily life, when we decline an invitation or convey unpleasant information to a listener, we use polite expressions; we are careful with our words. English language learners need to learn polite expressions in order to interact peacefully with others; doing so can minimize conflict, which is inherent in social relationships. This study uses the British drama Downton Abbey, which is about aristocracy. This study analyzes the posh discourse used in Downton Abbey and insists that students need to learn it explicitly. It is important to learn the polite expressions of this authentic drama in a real classroom. This study suggests that students work in groups to create a short video, and to try to understand the characters' personalities. Movies, TV dramas, and sitcoms provide great content that shows the various functions of the language that students want to learn. As a source of learning material, film can help improve students' motivation and interest in learning a foreign language.

• Journal of the Institute of Electronics Engineers of Korea CI
• /
• v.38 no.1
• /
• pp.1-6
• /
• 2001

In this paper we reanalyze Kohonen‘s learning vector quantizing (LVQ) Learning rule which is based on Hcbb’s learning rule with a view to a gradient descent method. Kohonen's LVQ can be classified into two algorithms according to 6learning mode: unsupervised LVQ(ULVQ) and supervised LVQ(SLVQ). These two algorithms can be represented as gradient descent methods, if target values of output neurons are generated properly. As a result, we see that the LVQ learning method is a special case of a gradient descent method and also that LVQ is represented by a generalized percetron-like LVQ(PLVQ).

• KIISE Transactions on Computing Practices
• /
• v.23 no.4
• /
• pp.226-231
• /
• 2017

Word representation, an important area in natural language processing(NLP) used machine learning, is a method that represents a word not by text but by distinguishable symbol. Existing word embedding employed a large number of corpora to ensure that words are positioned nearby within text. However corpus-based word embedding needs several corpora because of the frequency of word occurrence and increased number of words. In this paper word embedding is done using dictionary definitions and semantic relationship information(hypernyms and antonyms). Words are trained using the feature mirror model(FMM), a modified Skip-Gram(Word2Vec). Sense similar words have similar vector. Furthermore, it was possible to distinguish vectors of antonym words.

• Archives of design research
• /
• v.15 no.4
• /
• pp.223-230
• /
• 2002

As evolution of multimedia technology brings changes to industries concerned with design, new education program is needed to cultivate designers with abilities which are adapted to changed circumstance. This paper is purposed to show guideline to set up a fundamental course for multimedia design in which students know what are new presentation modes and learn how to use them, Multimedia design call for abilities of organizing information, representing, and implementing interactivity. Among them, fundamental course considers representing information as central subject. And it also contains lessons which are relative to proceeding courses. It should have students to experience creative composition and various expressions, and study cognitive or aesthetic effects of them. All activities are based on the understanding about presentation factors and principles. Basic course's lessons are composed by two main subjects, which are essential expression and matters relative to organization and interactivity. Described in detail, lessons are divided into three phases. First phase is combining presentation factors for affective effects, second is delivering message of various knowledges and third is forming simple interaction.