• Journal of Korea Society of Digital Industry and Information Management
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• v.15 no.2
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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.

• Journal of the Korean Institute of Rural Architecture
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• v.24 no.3
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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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• v.21 no.4
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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.

• Journal of Korean Medical classics
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• v.37 no.2
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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.

• Korean Journal of Community Nutrition
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• v.22 no.3
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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.

• Journal of the Korean Association of Geographic Information Studies
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• v.20 no.1
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• pp.113-126
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• 2017

This study aimed to quantitatively analyze the trends in environmental research that utilize environmental geospatial information through text mining, one of the big data analysis technologies. The analysis was conducted on a total of 869 papers published in the Republic of Korea, which were collected from the National Digital Science Library (NDSL). On the basis of the classification scheme, the keywords extracted from the papers were recategorized into 10 environmental fields including "general environment", "climate", "air quality", and 20 environmental geospatial information fields including "satellite image", "numerical map", and "disaster". With the recategorized keywords, their frequency levels and time series changes in the collected papers were analyzed, as well as the association rules between keywords. First, the results of frequency analysis showed that "general environment"(40.85%) and "satellite image"(24.87%) had the highest frequency levels among environmental fields and environmental geospatial information fields, respectively. Second, the results of the time series analysis on environmental fields showed that the share of "climate" between 1996 and 2000 was high, but since 2001, that of "general environment" has increased. In terms of environmental geospatial information fields, the demand for "satellite image" was highest throughout the period analyzed, and its utilization share has also gradually increased. Third, a total of 80 correlation rules were generated for environmental fields and environmental geospatial information fields. Among environmental fields, "general environment" generated the highest number of correlation rules (17) with environmental geospatial information fields such as "satellite image" and "digital map".

• Journal of Korean Library and Information Science Society
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• v.39 no.3
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• pp.139-159
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• 2008

Much of the current literature on reading instruction supports the idea of teaching students a series of reading strategies instead of isolated reading skills. Reading strategies are plans or methods that can be used or taught to facilitate reading proficiency. In the meantime, the reading instruction program of school library is the reading promotion event has been limited. Therefore, the reading instruction program of school library need to focus reading strategies oriented instruction rather than reading skill. This Study categorizes Reading Strategies that divided into text type, text structure, reading process, cognitive strategies.

• Journal of Korea Multimedia Society
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• v.23 no.8
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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.

• Korean Journal of Cognitive Science
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• v.21 no.2
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• pp.253-282
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• 2010

Two experiments were conducted to explore the effects of anaphora and demonstrative ellipsis on reference resolution. This study assumed that two type of ellipsis could be sensitive to antecedents' saliency: the reverse typicality and mention order of antecedents. The muti-task approach measured the antecedent's activation level and processing load for the conflict resolution of theories of anaphoric resolution. In Experiment 1, using ellipsis for anaphora, participants read a series of sentence pairs by self-paced and performed a probe recognition test. The results showed the main effects of antecedent's typicality and mention order in both tasks. In Experiment 2, using noun phrase without demonstrative for anaphora, participants read a series of sentence pairs by self-paced and performed a probe recognition test. The results showed main effects of mention order of antecedents for probe recognition task only. The first antecedent was recognized faster than the second one. The results of two experiments suggested that anaphora type and antecedent's saliency were dynamically interact in reference resolution for Korean.

• Journal of Navigation and Port Research
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• v.45 no.3
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• pp.95-101
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• 2021

Marine Incidents based on Heinrich's law are very important in preventing accidents. However, marine Incident data are mainly qualitative and are used to prevent similar accidents through case sharing rather than statistical analysis, which can be confirmed in the marine Incident-related data posted in the Korea Maritime Safety Tribunal. Therefore, this study derived quantitative results by analyzing the causes of marine incidents during berthing using various methods of statistical analysis. To this end, data involving marine incidents from various shipping companies were collected and reclassified for easy analysis. The main keywords were derived via primary analysis using text mining. Only meaningful words were selected via verification by an expert group, and time series and cluster analysis were performed to predict marine incidents that may occur during berthing. Although the role of an expert group was still required during the analysis, it was confirmed that quantitative analysis of marine incidents was feasible, and iused to provide cause and accident prevention information.