• Journal of Families and Better Life
• /
• v.30 no.3
• /
• pp.83-103
• /
• 2012

This thesis is based on an in-depth interview on participation experience of ten immigrants who reside in S Multi-cultural Family Support Center that is located in Gyeonggi-do in Korea Immigration & Integration Program(KIIP). The purpose of this research is to present through it's basic data for improvement in the operation of KIIP in the future by grasping participation process in KIIP that the immigrants have experienced, problems involved in their operation, and related requirements. Major results of the research are as follows: First, the motive for the immigrants' participation in KIIP was to acquire Korean nationality, learn Korean, and prepare for their future in Korea. Second, as a difficulty in participation in KIIP, access to educational institutions loomed large. Third, regarding improvements in the operation of KIIP, marriage immigrants needed to continue Korean language education, whereas other immigrants revealed a demand for opening evening classes or weekend classes. In the final analysis, it seems that for KIIP to provide an opportunity for the immigrants to have a vision for their life in the future, as well as for its realization in Korean society, policy-oriented institutional support that pays attention to their life situation and demands is badly needed.

• Annual Conference on Human and Language Technology
• /
• 2020.10a
• /
• pp.184-187
• /
• 2020

다중 지문 기계독해는 질문과 여러 개의 지문을 입력받고 입력된 지문들에서 추출된 정답 중에 하나의 정답을 출력하는 문제이다. 다중 지문 기계독해에서는 정답이 있을 단락을 선택하는 순위화 방법에 따라서 성능이 크게 달라질 수 있다. 본 논문에서는 단락 안에 정답이 있을 확률을 예측하는 단락 재순위화 모델과 선택된 단락에서 서술형 정답을 위한 세부적인 정답의 경계를 예측하는 세부 단락 선별 기법을 제안한다. 단락 순위화 모델 학습의 경우 모델 학습을 위해 각 단락의 출력에 softmax와 cross-entroy를 이용한 손실 값과 sigmoid와 평균 제곱 오차의 손실 값을 함께 학습하고 키워드 매칭을 함께 적용했을 때 KorQuAD 2.0의 개발셋에서 상위 1개 단락, 3개 단락, 5개 단락에서 각각 82.3%, 94.5%, 97.0%의 재현율을 보였다. 세부 단락 선별 모델의 경우 입력된 두 단락을 비교하는 duoBERT를 이용했을 때 KorQuAD 2.0의 개발셋에서 F1 83.0%의 성능을 보였다.

• Information Systems Review
• /
• v.21 no.4
• /
• pp.125-141
• /
• 2019

With the advent of deep learning technology, which is represented by AlphaGo, artificial intelligence (A.I.) has quickly emerged as a key theme of digital transformation to secure competitive advantage for businesses. In order to understand the trends of A.I. based digital transformation, a clear comprehension of the A.I. business ecosystem should precede. Therefore, this study analyzed the A.I. business ecosystem from the multi-actor network perspective and identified the A.I. platform strategy type. Within internal three layers of A.I. business ecosystem (infrastructure & hardware, software & application, service & data layers), this study identified four types of A.I. platform strategy (Tech. vertical × Biz. horizontal, Tech. vertical × Biz. vertical, Tech. horizontal × Biz. horizontal, Tech. horizontal × Biz. vertical). Then, outside of A.I. platform, this study presented five actors (users, investors, policy makers, consortiums & innovators, CSOs/NGOs) and their roles to support sustainable A.I. business ecosystem in symbiosis with human. This study identified A.I. business ecosystem framework and platform strategy type. The roles of government and academia to create a sustainable A.I. business ecosystem were also suggested. These results will help to find proper strategy direction of A.I. business ecosystem and digital transformation.

• Journal of the Korean association of regional geographers
• /
• v.15 no.3
• /
• pp.393-408
• /
• 2009

The drastic growth of transnational marriage since the mid-1990s has been a new challenge to Korea. This article aims to provide a comprehension of new ethnicity by focusing on transnational marriage migration in Korea. A steep increase of foreign brides from China and Southeast countries such as Vietnam and the Philippines can be understood in terms of globalization from below. In this context, Korean trend is similar to Taiwan and Japanese ones. But, there are also some differences between them. The inflow of foreign brides has been gradually weakened since 2005 in Korea, as Taiwan has experienced since 2003. In the ratio of foreign brides among total marriage in Korea, rural area show in average two-fold higher than urban areas. However, most foreign brides have settled down in urban areas in aspect of absolute number. Korean Chinese wives most densely concentrate in urban area, followed by Chinese wives, Nevertheless, there are significant differences among foreign brides' residential areas with their nationalities. In this point, the geography of new ethnicity with foreign brides in Korea is likely to be a multi-dimensional space.

• Journal of the Korean Society for Nondestructive Testing
• /
• v.29 no.4
• /
• pp.338-343
• /
• 2009

Tomography is the imaging method of cross sectional area using multi beam signals and is mainly applied to the medical diagnosis to acquire the image of the inside human body. This method is pretty meaningful in nondestructive evaluation field since the imaging of the inspection region can enhance the comprehension of the inspector. Recently, much attention has been paid to the guided wave for the diagnosis of platelike structures. So, in this work, a study on the imaging of the damage location in a plate was carried out on the basis of computer aided analysis of guided waves and tomographic imaging. To this end, boundary element method was employed to analyze the effect of the damage in plate on the propagation of the guided waves and the analytic results were applied to the tomographic imaging method to identify the damage location. Consequently, it was shown that the number of sensors heavily affect the inspection performance of the damage location.

• School Mathematics
• /
• v.13 no.3
• /
• pp.447-468
• /
• 2011

For the instruction of units dealing with the conic section, the most important factor that we need to consider is the connections. In other words, the algebraic approach and the geometric approach should be instructed in parallel at the same time. In particular, for the students of low proficiency who are not good at algebraic operation, the geometric approach that employs visual representation, expressing the conic section's characteristic in a dynamic manner, is an important and effective method. For this, during this research, to suggest the importance of dynamic visual representation based on GeoGebra in teaching Quadratic Curve, we taught an experimental class that suggests the instruction method which maximizes the visual representation and analyzed changes in the representation of students by analyzing the part related to the unit of a parabola from units dealing with a conic section in the "Geometry and Vector" textbook and activity book.

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.31 no.1
• /
• pp.357-377
• /
• 2020

The purpose of this study was to investigate factors affecting the adolescent's health literacy. First, we examined whether information literacy affects adolescents' understanding of health information, and then analyzed how demographic statistics and various other characteristics of adolescents affect health literacy. Data was collected through a survey of 277 middle and high school students. The results of analysis of Multi-regression showed that information literacy was found to have a positive impact on adolescent's health literacy. In addition, factors such as gender, grade level, academic performance, health concern, and frequency of use of digital devices were statistically significant in their affect on adolescent's health literacy. The results of this study can be used as basic data to improve adolescent' comprehension of health information.

• Journal of Fashion Business
• /
• v.4 no.1
• /
• pp.73-85
• /
• 2000

The purpose of this study is for considering about Zen fashion in the point of view of culture transition. Through this research, the Far-East including Korea will be confirmed as a center of fashion culture in 21st century. The contents are the meaning of culture transition in Post Modern period, the meaning of Zen and changing of fashion trend as the background of Zen Fashion, and the characteristics of Zen fashion design. The results are as follows: Anti-western movement or dismantlement of culture has been represented the limitation of western centered culture. So the interesting about East means the changing to east from west in ideas. To make new creation in fashion field, the comprehension about the western fashion which has been preceeded and new trials using the our tradition will be needed. Zen is a kind of Buddhism and the essence of it is to find myself and express individual experiences. The change of one's sens of value, new age movement and concerning of environment and ecology make more comfortable, simple and healthy elements in clothing. The fusion style is under a vogue in life style and Zen is the core of this trend. The characteristics of Zen fashion are flat dismantlement which has been know as a Japanese style, oriental minimalism and nature beauty of ecology. This characteristics are found not only the shape, color but the will of the behind. The pursing temperance and naturalism are represented the fashion culture transition from the West to Far-East. Therefore multi points of fashion research is very important and the identify about Korean fashion is required in lately for new fashion paradigm.

• The Korean Journal of Woman Psychology
• /
• v.15 no.2
• /
• pp.235-258
• /
• 2010

This study has a purpose to develop vocational adjustment program that is essential for marriage immigrant women to settle down in our society and verify the effectiveness of the program. In order to develop practical program with reflecting their unique issues and experiences comparing to other groups, many diverse ways such as questionnaire, face to face in-depth interview, and expert-interview were used. Vocational adjustment program for marriage immigrant women was consisted of six parts like understanding multi-culture, basic economical concepts and practical use, vocation and labor market comprehension, self-understanding and analysis, cultivating organization adaptation and job capacities, establishing career goal. After carrying into effect the program, the result was significant differences in career identity, the understanding vocational information, adaptation of vocational culture, career aspiration to women who have taken the vocational adjustment program. Through the program, marriage immigrant women will be high in self-efficacy with the real recognition of the Korean labor market and expect their positive future which might be better than now. Finally this can help them adjust our society in the positive way.

• Journal of Intelligence and Information Systems
• /
• v.24 no.4
• /
• pp.111-136
• /
• 2018

In this paper, we propose a methodology to extract answer information about queries from various types of unstructured documents collected from multi-sources existing on web in order to expand knowledge base. The proposed methodology is divided into the following steps. 1) Collect relevant documents from Wikipedia, Naver encyclopedia, and Naver news sources for "subject-predicate" separated queries and classify the proper documents. 2) Determine whether the sentence is suitable for extracting information and derive the confidence. 3) Based on the predicate feature, extract the information in the proper sentence and derive the overall confidence of the information extraction result. In order to evaluate the performance of the information extraction system, we selected 400 queries from the artificial intelligence speaker of SK-Telecom. Compared with the baseline model, it is confirmed that it shows higher performance index than the existing model. The contribution of this study is that we develop a sequence tagging model based on bi-directional LSTM-CRF using the predicate feature of the query, with this we developed a robust model that can maintain high recall performance even in various types of unstructured documents collected from multiple sources. The problem of information extraction for knowledge base extension should take into account heterogeneous characteristics of source-specific document types. The proposed methodology proved to extract information effectively from various types of unstructured documents compared to the baseline model. There is a limitation in previous research that the performance is poor when extracting information about the document type that is different from the training data. In addition, this study can prevent unnecessary information extraction attempts from the documents that do not include the answer information through the process for predicting the suitability of information extraction of documents and sentences before the information extraction step. It is meaningful that we provided a method that precision performance can be maintained even in actual web environment. The information extraction problem for the knowledge base expansion has the characteristic that it can not guarantee whether the document includes the correct answer because it is aimed at the unstructured document existing in the real web. When the question answering is performed on a real web, previous machine reading comprehension studies has a limitation that it shows a low level of precision because it frequently attempts to extract an answer even in a document in which there is no correct answer. The policy that predicts the suitability of document and sentence information extraction is meaningful in that it contributes to maintaining the performance of information extraction even in real web environment. The limitations of this study and future research directions are as follows. First, it is a problem related to data preprocessing. In this study, the unit of knowledge extraction is classified through the morphological analysis based on the open source Konlpy python package, and the information extraction result can be improperly performed because morphological analysis is not performed properly. To enhance the performance of information extraction results, it is necessary to develop an advanced morpheme analyzer. Second, it is a problem of entity ambiguity. The information extraction system of this study can not distinguish the same name that has different intention. If several people with the same name appear in the news, the system may not extract information about the intended query. In future research, it is necessary to take measures to identify the person with the same name. Third, it is a problem of evaluation query data. In this study, we selected 400 of user queries collected from SK Telecom 's interactive artificial intelligent speaker to evaluate the performance of the information extraction system. n this study, we developed evaluation data set using 800 documents (400 questions * 7 articles per question (1 Wikipedia, 3 Naver encyclopedia, 3 Naver news) by judging whether a correct answer is included or not. To ensure the external validity of the study, it is desirable to use more queries to determine the performance of the system. This is a costly activity that must be done manually. Future research needs to evaluate the system for more queries. It is also necessary to develop a Korean benchmark data set of information extraction system for queries from multi-source web documents to build an environment that can evaluate the results more objectively.