• Spatial Information Research
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• v.21 no.5
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• pp.53-61
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• 2013

This study has a research objective to suggest detailed rules and principles to transcribe geographical names in English for English version electronic map service. For this, guidelines which are used in English transcription of local geographical names in Korea and English transcription situations of Korea geographical names in foreign electronic map service were examined. Examining results of current situations showed the English transcription method of home and abroad geographical names caused the chaos because it is not homogenized. In order to identify easy and preferred transcription method for foreigners among English transcription methods about the geographical names which are used together like this, the preference of English transcription methods of the geographical names was examined targeting foreigners. Survey results showed that foreigners prefer to transcribe in Roman character (Romanization) with its semantic word together than just to transcribe the Roman character. Reflecting this preference research results, our country's geographical names were classified as Natural features, Cultural features and man-made structures, and Administrative units and the detailed English transcription rules and principles of each geographical names were suggested.

• Journal of the Korean association of regional geographers
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• v.23 no.2
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• pp.325-353
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• 2017

This article aims to investigate the geographical distribution and the cultural, historical, and symbolic meanings of the place names in the area of Bukhansanseong (Fortress), and to basically suggest the several features which have happened throughout the process of toponymic changes. In order to realize the purpose of the article, I collected the chronological toponymic data, particularly focusing on the Bukhanji (Record of Bukhansanseong, 1745) in which the most existing place names related to Bukhansanseong are recorded. In the meantime, I proposed the character of distributions and types of the physical, human place names according to the rear-part of toponymic morpheme, i.e. the generic name. Moreover, selecting the main place names such as 'Bukhansan', etc., I analyzed some features on the toponymic meanings and changes in accordance with the fore-part of toponymic morpheme, the specific name. Consequently, I identified the facts that the name of 'Bukhansan' in the era of the Three Kingdoms, 'Samgaksan' in the Goryeo Dynasty, and again 'Bukhansan' or 'Buksan' in the Joseon Dynasty era had been primarily called. And then the place name, 'Bukhansan' has been officially named until now since constructing the Bukhansanseong Fortress in 1711. Meanwhile, the physical place names related to mountainous and fluvial topography, the place names of artificial facilities such as a mountain fortress on this geographical environment, and especially Buddhistic place names which was named and identified by Buddhist monk, Seongneung who wrote the Bukhanji, representing the Buddhistic identity and ideology, form a large majority of the place names within Bukhansanseong.

• Annual Conference on Human and Language Technology
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• 2017.10a
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• pp.324-326
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• 2017

개체명 인식은 입력 문장에서 인명, 지명, 기관명, 날짜, 시간 등과 같은 고유한 의미를 갖는 단어 열을 찾아 범주를 부착하는 기술이다. 기존의 연구에서는 단어 단위나 음절 단위를 입력으로 사용하였다. 하지만 단어 단위의 경우 미등록어 처리가 어려우며 음절 단위의 경우 단어 고유의 의미가 희석되는 문제가 발생한다. 이러한 문제들을 해결하기 위해 본 논문에서는 형태소 단위 개체명 인식기와 음절 단위 개체명 인식기를 앙상블하여 보정된 결과를 예측하는 개체명 인식기를 제안한다. 제안된 모델은 각각의 단일 입력 모델보다 향상된 F1-점수(0.8049)를 보였다.

• 한국어정보학회:학술대회논문집
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• 2017.10a
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• pp.324-326
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• 2017

개체명 인식은 입력 문장에서 인명, 지명, 기관명, 날짜, 시간 등과 같은 고유한 의미를 갖는 단어 열을 찾아 범주를 부착하는 기술이다. 기존의 연구에서는 단어 단위나 음절 단위를 입력으로 사용하였다. 하지만 단어 단위의 경우 미등록어 처리가 어려우며 음절 단위의 경우 단어 고유의 의미가 희석되는 문제가 발생한다. 이러한 문제들을 해결하기 위해 본 논문에서는 형태소 단위 개체명 인식기와 음절 단위 개체명 인식기를 앙상블하여 보정된 결과를 예측하는 개체명 인식기를 제안한다. 제안된 모델은 각각의 단일 입력 모델보다 향상된 F1-점수(0.8049)를 보였다.

• Journal of The Korean Association of Information Education
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• v.25 no.5
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• pp.683-690
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• 2021

The purpose of this study is to identify research trends on artificial intelligence education. We analyzed 164 domestic journal papers related to AI education published since 2016. The criteria for papers analysis are number of publications by year, journal name, research topic, research type, data collection method, research subject, and subject. The main research areas and areas that require further research are reviewed. The method of the study was analyzed based on the topic and summary of the selected papers, but the text was checked if it was unclear. As a result of the study, research on 'artificial intelligence education' started in earnest after 2017, and has been rapidly increasing in recent years. As a result of the analysis, there were many studies on artificial intelligence education programs and content development, and artificial intelligence perception and image. As for the type of research, there were many quantitative studies, and the development research method was used a lot as a data collection method. In the study subjects, elementary school had a high proportion, and in subject, it was found that there were many practicial subject(technology) dealing with artificial intelligence contents.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.69-76
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• 2021

The purpose of this study is to identify research trends on artificial intelligence education. We analyzed 164 domestic journal papers related to AI education published since 2016. The criteria for thesis analysis are number of publications by year, journal name, research topic, research type, data collection method, research subject, and subject. The main research areas and areas that require further research are reviewed. The method of the study was analyzed based on the topic and summary of the selected thesis, but the text was checked if it was unclear. As a result of the study, research on 'artificial intelligence education' started in earnest after 2017, and has been rapidly increasing in recent years. As a result of the analysis, there were many studies on artificial intelligence education programs and content development, and artificial intelligence perception and image. As for the type of research, there were many quantitative studies, and the development research method was used a lot as a data collection method. In the study subjects, elementary school had a high proportion, and in subject, it was found that there were many practicial subject(technology) dealing with artificial intelligence contents.

• Annual Conference on Human and Language Technology
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• 2020.10a
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• pp.333-336
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• 2020

개체명 인식이란 문장에서 인명, 지명, 기관명 등과 같이 고유한 의미를 갖는 단어를 찾아 개체명을 분류하는 작업이다. 딥러닝을 활용한 연구가 수행되면서 개체명 인식에 RNN(Recurrent Neural Network)과 CRF(Condition Random Fields)를 결합한 연구가 좋은 성능을 보이고 있다. 그러나 CRF는 시간 복잡도가 분류해야 하는 클래스(Class) 개수의 제곱에 비례하고, 최근 RNN과 Softmax 모델보다 낮은 성능을 보이는 연구도 있었다. 본 논문에서는 CRF의 단점을 보완한 LAN(Label Attention Network)와 사전 학습 언어 모델인 음절 단위 ELECTRA를 활용하는 개체명 인식 모델을 제안한다.

• Journal of the korean academy of Pediatric Dentistry
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• v.47 no.3
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• pp.266-276
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• 2020

The purpose of this study was to compare the remineralization effect of 38% silver diamine fluoride (SDF) and 5% sodium fluoride (NaF) varnish on artificially induced enamel caries. The present study standardized the physiochemical characteristics of the tooth structure using bovine teeth, realized the wash-off action of agents using a saliva, reproduced an environment similar to mouth through pH-cycling, and comparatively assessed the remineralization effect of 38% SDF and 5% NaF varnish in a non-destructive method using micro-CT. And the remineralized enamel surface structure was analyzed by scanning electron microscopy (SEM) and energy dispersive X-Ray spectroscopy (EDS). In both SDF and NaF varnish, mineral density (△Hounsfield unit value) and the volume of enamel restored to normal mineral density through remineralization gradually increased with time. And the SDF showed a much higher level of increase in mineral density at all depths and remineralized volume than NaF varnish. According to SEM analysis, the surface roughness decreased in the order of artificial saliva, NaF varnish and SDF. In addition, EDS analysis showed that silver ion was precipitated on the enamel surface in SDF group. In conclusion, SDF had a greater remineralization effect than NaF varnish on demineralized enamel.

• Journal of Korean Critical Care Nursing
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• v.5 no.1
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• pp.56-66
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• 2012

Purpose: The purpose of this study was to investigate the knowledge and educational needs of nurses and physicians on home ventilator. Methods: The participants were 140 nurses and 47 physicians working at departments using home ventilators. The data were collected from January 30 to February 12, 2012 through a self-administered questionnaire with 32 items of the knowledge and educational needs on home ventilator. Results: The mean scores of nurses' and physicians' knowledge were 2.52 and 2.56 respectively. The mean scores of nurses' and physicians' educational needs were 3.16 and 3.06 respectively. Nurses' knowledge was associated with their experience using and receiving education about home ventilator and willingness to receive education about home ventilator education. Nurses' educational needs were associated with their present working department and experience using home ventilator. Nurses with high knowledge were more likely to have high educational needs. Physicians' knowledge and educational needs were not associated with any their general characteristics. Conclusion: Nurses' and physicians' knowledge of home ventilator were low and their educational needs on home ventilator were high. To provide high quality of care for home ventilators, it is necessary to provide nurses and physicians with education and to develop a more specific educational program for them.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2023.11a
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• pp.251-252
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• 2023

Compared to other industries the construction industry experiences more casualties and property damage due to safety accidents. One of the reasons is the increasing number of foreign workers. For this reason, past studies have found that foreign workers at construction sites are more exposed to safety accidents than non-foreign workers. Nevertheless the proportion of foreign workers involved in safety accidents at construction sites is increasing, and there has been a lack of research to predict the risk of safety accidents at construction sites. Additionally, realistic safety management is lacking due to a lack of safety accident risk prediction research. Therefore, in this study, we would like to propose basic research that proposes an AI-based safety accident prediction model framework for predicting safety accidents of foreign workers at construction sites. The framework and results of this study will contribute to reducing and preventing the risk of safety accidents for foreign workers through risk prediction for safety management of foreign workers at construction sites.