• Annual Conference on Human and Language Technology
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• 2020.10a
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• pp.119-123
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• 2020

이벤트 추출은 텍스트에서 구조화된 이벤트를 분석하는 것이다. 본 논문은 대화문에서 발생하는 다양한 종류의 이벤트를 다루기 위해 이벤트 스키마를 프레임넷으로 정한다. 대화문에서의 이벤트 논항은 이벤트가 발생하는 문장 뿐만 아니라 다른 문장 또는 대화에 참여하는 발화자에서 발생할 수 있다. 대화문 주석 데이터의 부재로 대화문에서의 프레임 파싱 연구는 진행되지 않았다. 본 논문이 제안하는 모델은 대화문에서의 이벤트 논항 구간이 주어졌을 때, 논항 구간의 역할을 식별하는 모델이다. 해당 모델은 이벤트를 유발한 어휘, 논항 구간, 논항 역할 간의 관계를 학습한다. 대화문 주석 데이터의 부족을 극복하기 위해 문어체 주석 데이터인 한국어 프레임넷을 활용하여 전이학습을 진행한다. 이를 통해 정확도 51.21%를 달성한다.

• Journal of Korean Home Economics Education Association
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• v.20 no.4
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• pp.59-75
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• 2008

This study is designed to support the development and the teaching of revised curriculum of 2007 "Technology & Home Economics" by investigating the actual condition and the necessity of education for elderly housing education. Questionnaire survey was conducted with 488 high school students in Gyeongnam in 2008. The data analyzed by descriptive statistics, t-test, One-way ANOVA, Duncan's multiple range test by using SPSS 14 program. The results showed that most of the students were dissatisfied with their middle school education of elderly housing due to the lack of interesting and practical contents. Thus, various teaching-learning methods where student can experience and experiment is needed. Also, the students demanded more of factors of elderly housing, spacing plan, elderly welfare service and less of three-generation housing and senior housing in their elderly housing education. The needs of education contents differed among students depending on variables such as sex, graduated middle school, household income, dwelling space and length of residential years. Therefore, revised 2007 curriculum of "Technology & Home Economics" should include required contents in related chapters. Because there are significant differences among textbooks about elderly housing, further attention needs to be paid to the new textbooks in order to include education contents evenly. At the same time, teachers should organize their teaching contents considering the divergence of variables. The effect of elderly housing education will be maximized if the revised curriculum consists of more experimental activities such as elderly simulation in the local community.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.11
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• pp.537-542
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• 2017

Aggressive driving is a major cause of car accidents. Previous studies have mainly analyzed young driver's aggressive driving tendency, yet they were only done through pure clustering or classification technique of machine learning. However, since elderly people have different driving habits due to their fragile physical conditions, it is necessary to develop a new method such as enhancing the characteristics of driving data to properly analyze aggressive driving of elderly drivers. In this study, acceleration data collected from a smartphone of a driving vehicle is analyzed by a newly proposed ECA(Enhanced Clustering method for Acceleration data) technique, coupled with a conventional clustering technique (K-means Clustering, Expectation-maximization algorithm). ECA selects high-intensity data among the data of the cluster group detected through K-means and EM in all of the subjects' data and models the characteristic data through the scaled value. Using this method, the aggressive driving data of all youth and elderly experiment participants were collected, unlike the pure clustering method. We further found that the K-means clustering has higher detection efficiency than EM method. Also, the results of K-means clustering demonstrate that a young driver has a driving strength 1.29 times higher than that of an elderly driver. In conclusion, the proposed method of our research is able to detect aggressive driving maneuvers from data of the elderly having low operating intensity. The proposed method is able to construct a customized safe driving system for the elderly driver. In the future, it will be possible to detect abnormal driving conditions and to use the collected data for early warning to drivers.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.5
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• pp.967-972
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• 2020

Most of the experimental tools currently used are applied to experiments in the physical field by utilizing sensors and only MBL that are suitable for specific experiments have been developed. However, There is no experimental design stage using SW fusion, and there is a limit to the application of various chemistry experiments in textbooks, and in the case of Arduino, it is difficult for students to learn and understand language when programming. In this paper, we designed and developed a SW education convergence science experiment apparatus including a learner's active experiment design process, overcoming the shortcomings of the existing microcomputer experiment and the limitations of software education.

• Journal of Korean Home Economics Education Association
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• v.22 no.2
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• pp.155-169
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• 2010

This study aims to design practical problem-focused instruction by applying universal design of "Housing" unit of Technology Home Economics in the 10th grade and examine the students' perception on the lesson. The lesson is composed of the following procedures: thinking, problem recognition, problem understanding, information search & alternative search, consideration of the result, and practice plan. To solve problem such as 'What should one do for everyone's convenient and comfortable residential life' practically, we chose the major concern of 'understanding the universal design', 'analysis of cause for environmental change', 'creation of human-concerned residential culture'and performed alternative experience program for the old, the pregnant and the disabled. The students perceived teaching methods and contents positively with interest. They also understood the lesson easily by experiential activity and discussion thus enabling their active participation. It was also found out that the students felt considerable change of their consciousness of living environment of residence and the local community, thus it is concluded that the practical problem-focused instructional design method is very effective.

• 한국노년학
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• v.41 no.1
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• pp.1-24
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• 2021

This study aims to examine how old people think about 'dignifiable aging'. For the study, the authors have tried to understand and analyze of old people's view on 'classy and gracious aging' through their life experiences. The study focuses on the questions of 'how the participants experience aging', 'how they understand well, classy and successful aging and 'how they explain their ideas of the aging, then analyzes their ideas as types of 'within cases' as well as 'inter cases'. Indepth interview has employed as main methodology of data collection with the analysis of concerned written documents such as on-line and off-line essays as secondary data. The collected data had been basically sorted and analyzed by sorting commonimity and differences. Then they have been classified into the thems that indicate meanings and forms of 'dignified aging': 'ageless mind', 'happiness determined by one's mind', 'responsibility on family', 'desire for learning and social activities'. These meaning-units are added up to the main meaning of '(fullfilled) satisfaction through life-values' mediated by 'acceptance and acknowledgement', 'efforts', 'others' gaze', 'dreams and hopes', '(fullfilled) Satisfaction through life-values' can be achieved by 'sharing with others'. An interesting fact is that the meaning-units can be devided into two groups: 'the real life is the ideal life' which explains the actualization of the ideal in the daily life and 'life, conflict, the ideal' in which the real and the ideal are parellel with constant conflicts. In the conclusion, some implications and suggestions derived from the analysis are described from the v iew of social welfare.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.1
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• pp.561-571
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• 2016

Purpose: This study reviewed the innovative educational strategies that have been implemented successfully in US baccalaureate nursing education programs to facilitate appropriate attitudes about caring for older adults. Methods: The data were collected through a search of PubMed and CINAHL using the key words, gerontological or geriatric, attitudes about aging or older people, baccalaureate or undergraduate nursing education or curriculum. Results: The successful strategies are categorized as follows: 1) a multidisciplinary approach integrating aging issues and gerontological contents into diverse nursing courses, 2) active participation of community-dwelling healthy older individuals as an educational mentor, 3) use of audiovisual materials to investigate the misconceptions and attitudes about aging, and 4) discussion through critical thinking and self-reflection toward aging. Implications: For the interdisciplinary approach within nursing courses, it is essential to derive the key contents for gerontological nursing applicable to integration into diverse nursing courses. In addition, it is necessary to provide administrative support for implementing innovative strategies and constructing consistent partnerships with the community for active participation of the elderly as a mentor. Lastly, recognizing the significance of educational strategies for enhancing desirable attitudes toward gerontological nursing and supporting the development of educational capability of a faculty are key issues.

• The Journal of Korean Institute of Next Generation Computing
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• v.13 no.6
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• pp.96-105
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• 2017

In this paper, we investigated the age classification from the speaker by analyzing the voice calls of the emergency center. We classified the adult and elderly from the call center calls using behavioral speech utterances and SVM(Support Vector Machine) which is a machine learning classifier. We selected two behavioral speech utterances through analysis of the call data from the emergency center: Silent Pause and Turn-taking latency. First, the criteria for age classification selected through analysis based on the behavioral speech utterances of the emergency call center and then it was significant(p <0.05) through statistical analysis. We analyzed 200 datasets (adult: 100, elderly: 100) by the 5 fold cross-validation using the SVM(Support Vector Machine) classifier. As a result, we achieved 70% accuracy using two behavioral speech utterances. It is higher accuracy than one behavioral speech utterance. These results can be suggested age classification as a new method which is used behavioral speech utterances and will be classified by combining acoustic information(MFCC) with new behavioral speech utterances of the real voice data in the further work. Furthermore, it will contribute to the development of the emergency situation judgment system related to the age classification.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.4
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• pp.428-436
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• 2020

The purpose of this study is to analyze the needs for developing a curriculum for strengthening the long-term care service expertise and job competency. Specifically, the researchers analyzed previous studies on national long-term care services and national policy data, and conducted focus group interviews with 14 experts from related agencies. Activity theory was applied as a framework for analysis and a questionnaire about the importance and difficulty of subjects from 25 long-term service employees was administered for validating the results of the qualitative data analysis. The upper part of the subject-goal-tool of the activity system was considered the main area of action, and the following rule-community-division was divided into contextual parts for action, and the implications for demand analysis and future operation of the online curriculum are summarized. In total, six courses were required for development. These courses could be applied to as a learner-centered flip learning for long-term care service workers and various educational methods of collective education and supplementary education have been proposed. Based on the study results, implications in the educational field for effective management of courses were suggested at the end of the study.

• Annual Conference on Human and Language Technology
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• 2021.10a
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• pp.178-185
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• 2021

Sequence to sequence(S2S) 기반 음성인식 후처리기를 훈련하기 위한 학습 데이터 구축을 위해 (음성인식 결과(speech recognition sentence), 전사자(phonetic transcriptor)가 수정한 문장(Human post edit sentence))의 병렬 말뭉치가 필요하며 이를 위해 많은 노동력(human-labor)이 소요된다. BackTranScription (BTS)이란 기존 S2S기반 음성인식 후처리기의 한계점을 완화하기 위해 제안된 데이터 구축 방법론이며 Text-To-Speech(TTS)와 Speech-To-Text(STT) 기술을 결합하여 pseudo 병렬 말뭉치를 생성하는 기술을 의미한다. 해당 방법론은 전사자의 역할을 없애고 방대한 양의 학습 데이터를 자동으로 생성할 수 있기에 데이터 구축에 있어서 시간과 비용을 단축 할 수 있다. 본 논문은 BTS를 바탕으로 제주어 도메인에 특화된 음성인식 후처리기의 성능을 향상시키기 위하여 모델 수정(model modification)을 통해 성능을 향상시키는 모델 중심 접근(model-centric) 방법론과 모델 수정 없이 데이터의 양과 질을 고려하여 성능을 향상시키는 데이터 중심 접근(data-centric) 방법론에 대한 비교 분석을 진행하였다. 실험결과 모델 교정없이 데이터 중심 접근 방법론을 적용하는 것이 성능 향상에 더 도움이 됨을 알 수 있었으며 모델 중심 접근 방법론의 부정적 측면 (negative result)에 대해서 분석을 진행하였다.