• Annual Conference on Human and Language Technology
• /
• 2018.10a
• /
• pp.639-641
• /
• 2018

고전적으로 이용되던 디렉터리 분류로는 원하는 정보를 빠르게 찾기 어려워지면서, 키워드 기반 검색 시스템이 정보 처리의 중심이 되고 있다. 본 논문에서는 개인용 컴퓨터에서의 빠른 자료 검색을 위한 키워드 기반 정보검색 시스템을 제안한다. 시스템에서는 동적 색인을 통하여 기존 시스템들보다 빠른 시간 내에 검색 결과를 제공한다. 내용 기반 검색과 다양한 포맷에 대한 문서 검색 기능을 포함하여 사용자에게 편리한 환경을 제공할 뿐만 아니라, 한글 문장이 포함된 문서에 대해서 원활한 검색을 제공하고자 한다. 성능 비교 검증을 수행한 결과 기존 시스템에 비해 보다 빠른 시간 내에 많은 문서를 탐지할 수 있음을 확인하였다.

• Proceedings of the Korean Information Science Society Conference
• /
• 2004.10a
• /
• pp.100-102
• /
• 2004

월드 와이드 웹의 보편화로 인하여 급속하게 증가하고 변화하는 웹 문서는 검색엔진으로 하여금 색인된 웹 문서와 현재의 웹 문서의 일관성을 유지할 수 없을 정도이다. 이러한 문제를 해결하기 위한 방법으로 연구되고 있는 것이 특정한 주제를 정하고 정해진 주제에 관련된 문서를 수집할 수 있는 focused crawler가 제시되고 있다. 지금까지 다양한 접근방법의 focused crawler가 개발되었지만, 모두 웹 링크를 이용하여 연결되어 있는 문서를 평가하는 처리과정을 거치고 있다. 그러나 이러한 과정은 다양한 내용을 포함하고 있는 문서일 경우 관련내용이 존재함에도 문서가 버려지거나 사용되더라도 문서상의 모든 링크를 사용하여 처리하는 비효율적인 문제점이 발생한다. 이 논문에서는 웰 문서 내부에 포함되어 있는 정보를 온톨로지를 이용하여 평가함으로써 다양한 내용을 가진 문서에서 사용자가 원하는 정보를 찾을 수 있을 뿐만 아니라 정보와 관련된 링크만을 사용하여 보다 효율적이고 정확한 문서를 수집하고자 한다.

• 한국HCI학회:학술대회논문집
• /
• 2009.02a
• /
• pp.129-134
• /
• 2009

Recently, percentage of people who use SMS service is increasing. However, it is difficult to express own complicated emotion with text and emoticon of exited SMS service. This paper focuses on that point and practical uses character animation to express emotion and nuance correctly, funny. Also this paper suggests emotion based gesture animation generation system that use character's facial expression and gesture to delivery emotion excitably and clearly than only speaking. Michel[1] investigated interview movies of a person whose gesturing style they wish to animate and suggested gesture generation graph for stylized gesture animation. In this paper, we make focus to analyze and abstracted emotional gestures of Disney animation characters and did 3D modeling of these emotional gestures expanding Michel[1]'s research. To express emotion of person, suggests a emotion gesture generation graph that reflects emotion flow graph express emotion flow for probability. We investigated user reaction for research the propriety of suggested system and alternation propriety.

• Journal of Korean Library and Information Science Society
• /
• v.51 no.3
• /
• pp.53-80
• /
• 2020

Library Week was established in 1964 and has continued without interruption for 56 years. It has grown to become one of the largest and most important activities within the library field today. The Korean Library Association publicly selects slogans to be used for Library Week publicity purposes and their poster advertising campaign. A study and evaluation analyzing slogan contents was performed to determine the overall effects of these slogans on the public and provide suggestions for more effective and focused slogans as part of a branding strategy. To achieve this purpose, the contents of 116 official slogans of the library week were analyzed according to the linguistic techniques and key words suggested by Young-Jun Park (2001). As a result, there were 103 slogans (88.79%) composed of only 'Korean characters'. And the key scoring type with the highest number of hits was the word 'sentences' 46 units (39.66%). Furthermore the word in the slogans resulting in the highest number of hits was 'library' with 111 units (96.52%). Therefore, it can be said that most of the weekly slogans of the library are 'sentence type' consisting of 'Korean characters' containing the word 'library'.

• Journal of the Institute of Convergence Signal Processing
• /
• v.24 no.3
• /
• pp.160-165
• /
• 2023

In this study, we propose an SNS sentence writing assistance system that utilizes YOLO and GPT to assist users in writing texts with images, such as SNS. We utilize the YOLO model to extract objects from images inserted during writing, and also extract meta-information such as GPS information and creation time information, and use them as prompt values for GPT. To use the YOLO model, we trained it on form image data, and the mAP score of the model is about 0.25 on average. GPT was trained on 1,000 blog text data with the topic of 'restaurant reviews', and the model trained in this study was used to generate sentences with two types of keywords extracted from the images. A survey was conducted to evaluate the practicality of the generated sentences, and a closed-ended survey was conducted to clearly analyze the survey results. There were three evaluation items for the questionnaire by providing the inserted image and keyword sentences. The results showed that the keywords in the images generated meaningful sentences. Through this study, we found that the accuracy of image-based sentence generation depends on the relationship between image keywords and GPT learning contents.

• Journal of the Korean School Mathematics Society
• /
• v.11 no.1
• /
• pp.117-132
• /
• 2008

This paper has analyzed the problem of the inequality unit in 7th National curriculum 8-Ga stage from the following points. First, in respect to the written questions of the inequality unit over every textbook of 7th National curriculum, how are they allocated according to subject matters and what are their weak points? Second. how many of them are related to the authentic daily life or other subjects and what kind of subjects are they? Third, what are the problems related to the authentic daily life situation or what are the problems that have some inter-sentential errors, and what kinds of measures for their improvement can be taken? In keeping with view points above, we have analyzed the contents in current 16 different textbooks on th basis of their subject matters and especially put the emphasis on the relation to daily life and other subjects. Consequently, we found there are many textbooks that do not include various subject matters and that can not be related to various other subjects. It is necessary to connect mathematics to various daily life matters and other subjects to improve students' creativity and to make students understand the practicality of mathematics.

• Journal of the Korean Society for information Management
• /
• v.23 no.1 s.59
• /
• pp.83-98
• /
• 2006

This study proposes a template-based method of automatic summarization of multiple news articles using the semantic categories of sentences. First, the semantic categories for core information to be included in a summary are identified from training set of documents and their summaries. Then, cue words for each slot of the template are selected for later classification of news sentences into relevant slots. When a news article is input, its event/accident category is identified, and key sentences are extracted from the news article and filled in the relevant slots. The template filled with simple sentences rather than original long sentences is used to generate a summary for an event/accident. In the user evaluation of the generated summaries, the results showed the 54.l% recall ratio and the 58.l% precision ratio in essential information extraction and 11.6% redundancy ratio.

• Journal of KIISE:Software and Applications
• /
• v.31 no.4
• /
• pp.505-515
• /
• 2004

In a newspaper, 5W1H information is the most fundamental and important element for writing and understanding articles. Focusing on such a relation between a newspaper article and the 5W1H, we propose a summarization method based on the activation degree of 5W1H. To overcome problems of the lead-based and the title-based methods, both of which are known to be the most effective in newspaper summarization, sufficient 5W1H information is extracted from both a title and a lead sentence. Moreover, for each sentence, its weight is computed by considering various factors, such as activation degree of 5W1H, the number of 5W1H categories, and its length and position. These factors make a great contribution to the selection of more important sentences, and thus to the improvement of readability of the summarized texts. In an experimental evaluation, the proposed method achieved a precision of 74.7% outperforming the lead-based method. In sum, our 5W1H approach was shown to be promising for automatic summarization of newspaper articles.

• Journal of Internet Computing and Services
• /
• v.23 no.2
• /
• pp.71-77
• /
• 2022

In this paper, a database is collected for extending the speech synthesis model to a model that synthesizes speech according to emotions and generating facial expressions. The database is divided into male and female data, and consists of emotional speech and facial expressions. Two professional actors of different genders speak sentences in Korean. Sentences are divided into four emotions: happiness, sadness, anger, and neutrality. Each actor plays about 3300 sentences per emotion. A total of 26468 sentences collected by filming this are not overlap and contain expression similar to the corresponding emotion. Since building a high-quality database is important for the performance of future research, the database is assessed on emotional category, intensity, and genuineness. In order to find out the accuracy according to the modality of data, the database is divided into audio-video data, audio data, and video data.

• Journal of Digital Contents Society
• /
• v.13 no.1
• /
• pp.67-74
• /
• 2012

Students with learning disabilities need special education programs. In the traditional class, those students may not be satisfied with their studies. Thus, it is important to provide individualized class for those students. Classes using smart devices may give one of the solutions for individualized class. Unlike the typical mathematical problems, written problems require students to use various cognitive strategies, mathematical reasoning, inference ability, and so on. In this sense, written problems are good tools to develop the logical minds for students with learning disabilities. In this paper, a WOE-based smart learning system is proposed to help those students develop learning abilities. The proposed system has the following characteristics. First, students can learn naturally problem-solving abilities by following the work-out examples given from experts. Second, the proposed system can invoke motivation and interests of students using attractive icons and guidance rules provided with smart phone. Third, the proposed system can provide self-directed study for those students. The proposed system is applied for some students with learning disabilities. The following results are obtained. First, the individualized study can be possible since the system can provide continuous feedbacks and level-differentiated classes. Second, students can increase written problem solving abilities with natural understanding of study contents from smart phone. Finally, satisfaction, study motivation, and self-concept of students are increased through their successful experience during study processes.