• 디지털산업정보학회논문지
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• 제15권2호
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• pp.19-28
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• 2019

The purpose of this study is to examine the trends on machine learning and deep learning research in the published journals from the Web of Science Database. To achieve the study purpose, we used the abstracts of 20,664 articles published between 1990 and 2017, which include the word 'machine learning', 'deep learning', and 'artificial neural network' in their titles. Twenty major research topics were identified from topic modeling analysis and they were inclusive of classification accuracy, machine learning, optimization problem, time series model, temperature flow, engine variable, neuron layer, spectrum sample, image feature, strength property, extreme machine learning, control system, energy power, cancer patient, descriptor compound, fault diagnosis, soil map, concentration removal, protein gene, and job problem. The analysis of the time-series linear regression showed that all identified topics in machine learning research were 'hot' ones.

• 한국농촌건축학회논문집
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• 제24권3호
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• pp.47-57
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• 2022

This study attempted to grasp the status and perception of Uljin Geumgangsong by grasping mass media issues and user perception using big data, and to present basic data when constructing monitoring using user perception by examining the establishment relationship of agenda setting from a time-series perspective. The results of collecting and analyzing text data that can identify mass media and visitor awareness are as follows. First, both mass media and visitor keywords were related to the importance of the value and meaning of Uljin Geumgangsong. Second, in the case of the connection network, Geumgang Pine Agriculture was centered, but in the case of difference in perception between mass media and visitors, such results were derived due to the object of interest. Third, in the case of the connection relationship structure, the connection strength was strong because there were many overlapping contents of mass media. Fourth, as a result of the centrality analysis, both mass media and visitor-aware keywords were positively recognized as spaces created and maintained through institutional support, and objective perception could be grasped by finding hidden keywords. Fifth, as a result of time series analysis, it was possible to grasp the flow through the issue keywords that appeared by period, and unlike the past, it was recognized as a place for tourism and travel. Finally, as a result of examining whether the agenda setting is consistent, there is a mass media influence, so it is thought that more diverse and more information and publicity are needed by utilizing it.

• Journal of information and communication convergence engineering
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• 제21권4호
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• pp.281-286
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• 2023

Diagnosing reading disorders involves complex procedures to evaluate complex cognitive processes. For an accurate diagnosis, a series of tests and evaluations by human experts are required. In this study, we propose a quantitative tool to diagnose reading disorders based on natural reading behaviors using minimal human input. The eye movements of the third- and fourth-grade students were recorded while they read a text at their own pace. Seven machine learning models were used to evaluate the gaze patterns of the words in the presented text and classify the students as normal or having a reading disorder. The accuracy of the machine learning-based diagnosis was measured using the diagnosis by human experts as the ground truth. The highest accuracy of 0.8 was achieved by the support vector machine and random forest classifiers. This result demonstrated that machine learning-based automated diagnosis could substitute for the traditional diagnosis of reading disorders and enable large-scale screening for students at an early age.

• 대한한의학원전학회지
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• 제37권2호
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• pp.1-10
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• 2024

Objectives : The Wenyilun is the first specialized text on warm disease, written by Wuyouke from the Ming period in 1642. Methods : This paper examines the newly discovered manuscript of the Wenyilun called the Yeonreungjip, focusing on its bibliography and content. In addition, the original script of the Yeonreungjip was studied philologically. Results : 1. The Yeonreungjip was transcribed in the early 20th century. 2. The Jongbaegmuusan formula is a tried and tested prescription unique to Korea. 3. The original script of the Yeonreungjip is affiliated with the Chinese Liuchang edition. It is uncertain when this edition was introduced to Korea. 4. The contents of the Yeonreungjip referenced the Siququanshu edition series. Conclusions : In conclusion, the Yeonreungjip is the only transcribed version of the specialized Chinese warm disease text from the Joseon period that is known today. Its implication in the research of warm disease introduction to Korea is manifold.

• 대한지역사회영양학회지
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• 제22권3호
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• pp.248-258
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• 2017

Objectives: The purpose of the study was to develop a series of education materials as a card news format to provide nutrition information for pregnant and lactating women. Methods: The materials were developed in seven steps. As a first step, the needs of pregnant and lactating women were assessed by reviewing scientific papers and existing education materials, and by interviewing a focus group. The second step was to construct main categories and the topics of information. In step 3, a draft of the contents in each topic was developed based on the scientific evidence. In step 4, a draft of card news was created by editors and designers by editing the text and embedding images in the card news. In step 5, the text, images and sequences were reviewed to improve readability by the members of the project team and nutrition experts. In step 6, parts of the text or images or the sequences of the card news were revised based on the reviews. In step 7, the card news were finalized and released online to the public. Results: A series of 26 card news for pregnant and lactating women were developed. The series covered five categories such as nutrition management, healthy food choices, food safety, favorites to avoid, nutrition management in special conditions for pregnant and lactating women. The satisfaction of 7 topics of the card news was evaluated by 140 pregnant women, and more than 70% of the women were satisfied with the materials. Conclusions: The card news format materials developed in this study are innovative nutrition education tools, and can be downloaded on the homepage of the Ministry of Food and Drug Safety. Those materials can be easily shared in social media by nutrition educators or by pregnant and lactating women to use.

• 한국지리정보학회지
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• 제20권1호
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• pp.113-126
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• 2017

본 연구의 목적은 빅데이터 분석 기법 중 하나인 텍스트 마이닝 기법을 활용하여 환경 분야의 환경공간정보 활용 연구 동향을 정량적으로 분석하는 것이다. 분석에 활용된 자료는 NDSL (National Digital Science Library)을 통하여 획득한 국내 논문으로 총 869편을 대상으로 하였다. 논문에서 추출된 단어들은 "환경일반", "기후", "대기", 등 환경 분야 10개, "위성영상", "수치지도", "재난재해" 등 환경공간정보 20개로 설정된 분류체계에 따라 재분류 되었다. 재분류된 분류 키워드를 통해, 논문에서 해당 키워드의 출현 빈도 및 시계열 변화를 파악하였으며, 상호 간 연관분석을 수행하였다. 첫째, 빈도 분석 결과 환경 분야에서는 "환경일반"(40.85%)이 환경공간정보에서는 "위성영상" (24.87%)이 가장 높은 활용 빈도를 나타냈다. 둘째, 환경 분야에 대한 시계열 분석 결과 1996년부터 2000년까지는 "기후"에 대한 연구 비중이 높았으나, 2001년부터는 "환경일반"에 대한 연구가 증가하였다. 환경공간정보에서는 "위성영상"에 대한 수요가 전 기간에 걸쳐 가장 높았으며, 활용 비율 또한 점차적으로 증가하고 있었다. 셋째, 환경 분야와 환경공간정보에 대한 연관분석 결과 총 80개의 연관 규칙이 생성되었으며, 환경 분야 중 "환경일반"이 "위성영상", "전자지도" 등 총 17개의 환경공간정보와 가장 많은 수의 연관 규칙을 생성하였다.

• 한국도서관정보학회지
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• 제39권3호
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• pp.139-159
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• 2008

독서교육에 관한 최근의 연구에 의하면 독립적인 기능 중심의 교육보다는 독서전략을 중심으로 지도해야 한다는 주장이 폭넓게 수용되고 있다. 독서전략은 독자가 능숙하게 독서를 하는데 동원하거나 지도교사가 효과적인 독자가 될 수 있도록 지도하는 방법이나 의도적인 계획을 말한다. 그동안 학교도서관에서 제공하는 독서교육 프로그램은 독서촉진 혹은 행사에 치중해 왔다. 따라서 학교도서관에서 제공하는 독서교육은 독서촉진이나 행사보다는 독서전략 중심의 교육으로 전환할 필요가 있다. 이에 본 연구에서는 텍스트 종류, 텍스트의 구조, 독서의 과정, 인지전략 등 4개의 요소로 구분하여 독서교육에 필요한 독서전략을 범주화하였다.

• 한국멀티미디어학회논문지
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• 제23권8호
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• pp.1049-1058
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• 2020

'Instagrammable' is a new term which means a photo or a series of pictures are worth posting on Instagram. Since Instagram is an image-oriented social media platform, it is important to give users proper awareness through images in order to be an instagrammable post. In this study, we explored the proper delivery method of messages within instagrammable posts through the use of hashtags(#). Specifically, we paid attention to the use of 'Card News', which involves a series of images that form a short narrative. Hashtags play an important role that they often describe sharing intention of the post, and we found analyzing the use of hashtags in Card News posts is a good indicator of users' Instagram activities. Currently, there are more than 580k posts are found with the search keyword Card News, and the number is increasing. In this study, we collected and analyzed more than 50k hashtags on Instagram to explore how news stories are posted from both the general users and news media accounts. Furthermore, we conducted interviews with journalists to analyze how news media are making use of Instagram as a legitimate place to share news stories with impact.

• 인지과학
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• 제21권2호
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• pp.253-282
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• 2010

이 연구는 대용어나 지시사가 생략된 조건에서 선행어의 전형성과 언급순서가 참조해결에 작용하는 효과를 살펴보기 위해서 2개의 실험을 실시하였다. 실험 1은 대용어 생략과 대명사 조건을 비교하였다. 대용어 생략은 전형성과 언급순서가 읽기과제에 반영되었고, 언급순서 효과가 탐사재인과제에 반영되었다. 반면에 대명사는 전형성과 언급순서 효과가 탐사재인과제에만 반영되었다. 실험 2에서는 지시사가 생략된 명사반복과 대명사 조건을 비교하였다. 명사반복이 대명사에 비해서 읽기시간이 길었으며, 언급순서 효과가 탐사재인과제에 반영되었다. 반면에 대명사는 전형성과 언급순서가 탐사재인과제에서 반영되었다. 이는 선행어와 대용어의 참조해결이 직선적이기보다는 역동적일 가능성을 시사하였다.

• 한국항해항만학회지
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• 제45권3호
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• pp.95-101
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• 2021

하인리히의 법칙에 근거한 준해양사고는 사고를 미리 방지할 수 있는 수단으로서 매우 중요하다. 이에 본 연구에서는 정성적 데이터가 주를 이루는 정박 중 발생한 준해양사고에 대해 다양한 통계 분석 방법을 활용하여 정량적 결과를 도출하고자 하였다. 이를 위해 다양한 해운회사로부터 준해양사고 자료를 수집하여 분석에 쉽도록 재분류하였고, 텍스트마이닝 분석기법을 활용하여 1차 분석하여 주요 키워드를 도출하였다. 도출된 키워드는 전문가 집단의 검증을 거쳐 의미 있는 단어만 선택되었고, 시계열 및 군집 분석을 시행하여 정박 중 발생할 수 있는 준해양사고를 예측하였다. 이를 통해, 데이터 분석기술을 활용하면 정성적 준해양사고 자료를 정량화된 데이터 전환과 통계적 분석이 가능함을 확인할 수 있었다. 또한, 발생 가능한 준해양사고의 경향을 파악함으로써 원인과 예방 대책에 대한 정보 제공도 가능함을 확인할 수 있었다.