• Journal of the Korea Convergence Society
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• v.13 no.5
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• pp.313-325
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• 2022

The purpose of this study is to examine the changes in the elderly healthcare app market through text mining analysis and to present basic data for activating elderly healthcare apps. Data collection was conducted on Naver, Daum, blog web, and cafe. As for the research method, text mining, TF-IDF(Term frequency-inverse document frequency), emotional analysis, and semantic network analysis were conducted using Textom and Ucinet6, which are big data analysis programs. As a result of this study, a total of six categories were finally derived: resolving the healthcare app information gap, convergence healthcare technology, diffusion media, elderly healthcare app industry, social background, and content. In conclusion, in order for elderly healthcare apps to be accepted and utilized by the elderly, they must have a good diffusion infrastructure, and the effectiveness of healthcare apps must be maximized through the active introduction of convergence technology and content development that can be easily used by the elderly.

• Korean Journal of School Psychology
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• v.18 no.1
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• pp.121-151
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• 2021

This study aimed to identify the factors that helped and hindered secondary school teachers who experienced student suicide using the concept-mapping approach. Seven South Korean middle and high school teachers were interviewed from which 113 core statements were elicited. The participants sorted these core statements into categories by meaning. Multidimensional scaling and hierarchical cluster analysis were conducted to identify the underlying structure of the teachers' experiences. Four hindering factor clusters emerged: (1) regret over failing to prevent the suicide, (2) an apathetic atmosphere in the school, (3) a sense of helplessness related to suicide survivors, and (4) approach-avoidance conflicts related to suicide survivors. Six helpful factor clusters emerged: (1) cooperation and care offered between suicide survivors, (2) focusing on the present, busy life, (3) spiritual activity, (4) social support, (5) overcoming grief through altruistic behaviors, and (6) sympathy for the deceased. Two dimensions were found for both the hindering and helpful factors. The hindering factor dimensions were external system-internal experiences and related to suicide survivors-related to suicide decedents. The helpful factor dimensions were distancing from the loss-approaching the loss and professional activities-personal activities. The present study empirically explored and described the underlying structure of teachers' bereavement experiences after student suicides.

• Journal of Internet Computing and Services
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• v.23 no.6
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• pp.27-37
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• 2022

Virtual private network (VPN) services are used in various environments related to national security, such as defense companies and defense-related institutions where digital communication environment technologies are diversified and access to network use is increasing. However, the number of cyber attacks that target vulnerable points of the VPN has annually increased through technological advancement. Thus, this study identified security requirements by performing STRIDE threat modeling to prevent potential and new vulnerable points that can occur in the VPN. STRIDE threat modeling classifies threats into six categories to systematically identify threats. To apply the proposed security requirements, this study analyzed functions of the VPN and formed a data flow diagram in the VPN service process. Then, it collected threats that can take place in the VPN and analyzed the STRIDE threat model based on data of the collected threats. The data flow diagram in the VPN service process, which was established by this study, included 96 STRIDE threats. This study formed a threat scenario to analyze attack routes of the classified threats and derived 30 security requirements for each element of the VPN based on the formed scenario. This study has significance in that it presented a security guideline for enhancing security stability of the VPN used in facilities that require high-level security, such as the Ministry of National Defense (MND).

• Journal of Oriental Neuropsychiatry
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• v.33 no.3
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• pp.227-239
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• 2022

Objectives: The purpose of this study was to develop a standardization manual for Emotion To Emotion therapy. In this study, the processes and categories derived through literature search related to the Emotion To Emotion treatments, were revised and supplemented by the expert FGI (Focus Group Interview). Afterwards, the expert Delphi was conducted, to develop a standard manual for the disease types, purpose, and method of Emotion To Emotion therapy. Methods: In this study, literature analysis and expert Delphi, as a quantitative research method, were conducted, and the expert Focus Group Interview (FGI) was conducted as a qualitative study. The manual was completed by leading the consensus, on the standardization manual for Emotion To Emotion therapy. After that, a clinical expert Delphi was conducted to test the reliability as well as validity of the manual, through quantitative consensus on the manual of the Emotion To Emotion therapy. Results: First, as a result of literature studies, to date, studies related to Emotion To Emotion therapy have been qualitatively and quantitatively limited, as comparative literature related to clinical cases. Second, through expert FGI, the manual was structured with eight sub-factors for the indication diagnosis, six sub-factors for the implementation method, and 13 detailed factors. Third, through an expert Delphi, the consensus did the factor of indication, implementation methods, and implementation process, and developed a standardization manual for Emotion To Emotion therapy ver 1.0. Conclusions: Through literature analysis, expert FGI, and expert Delphi, the Emotion To Emotion therapy standardization manual ver 1.0 was completed, and will proceed with the revision and improvement report.

• Journal of Korean Home Economics Education Association
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• v.35 no.2
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• pp.1-20
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• 2023

The purpose of this study is to extract and analyze ecological citizenship elements in the middle school home economics textbook used in the 2015 national curriculum for the introduction of ecological transformation education in the 2022 national curriculum. As a result of the analysis, the content analysis of the ecological citizenship factor was validated by six experts who are incumbent middle school home economics teachers, and the S-CVI value was 0.97, ensuring the validity of the ecological citizenship factor analysis. The results of analyzing 242 ecological citizenship factors extracted from home economics textbooks are as follows. According to the content area of the 2015 national home economics curriculum, the 'human development and family' area had the highest presence of ecological citizenship factors followed by the 'resource management and self-reliance' area and the 'home life and safety' area. Among the categories of ecological citizenship factors, 'value⋅attitude' was the most frequent, followed by 'process⋅function' and 'knowledge⋅understanding'. For each textbook composition system, ecological citizenship elements were extracted in the order of pictures, text, activities, and supplementary materials. There was a significant variation in the number of ecological citizenship factors among publishers, indicating the importance of the textbook writers' perception, interpretation, and direction of writing. Based on these analysis results, ecological citizenship teaching and learning activities applicable to home economics education were presented. This study highlights the potential for practicing ecological citizenship education in line with the new orientation of the curriculum on ecological transformation education through home economics education. Furthermore, it provides valuable baseline data for the development and implementation of textbooks for the 2022 national curriculum.

• Korean Journal of Remote Sensing
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• v.39 no.3
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• pp.269-282
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• 2023

The purpose of this study was to construct land cover maps using a deep learning model and to select the optimal deep learning model for land cover classification by adjusting the dataset such as input image size and Stride application. Two types of deep learning models, the U-net model and the DeeplabV3+ model with an Encoder-Decoder network, were utilized. Also, the combination of the two deep learning models, which is an Ensemble model, was used in this study. The dataset utilized RapidEye satellite images as input images and the label images used Raster images based on the six categories of the land use of Intergovernmental Panel on Climate Change as true value. This study focused on the problem of the quality improvement of the dataset to enhance the accuracy of deep learning model and constructed twelve land cover maps using the combination of three deep learning models (U-net, DeeplabV3+, and Ensemble), two input image sizes (64 × 64 pixel and 256 × 256 pixel), and two Stride application rates (50% and 100%). The evaluation of the accuracy of the label images and the deep learning-based land cover maps showed that the U-net and DeeplabV3+ models had high accuracy, with overall accuracy values of approximately 87.9% and 89.8%, and kappa coefficients of over 72%. In addition, applying the Ensemble and Stride to the deep learning models resulted in a maximum increase of approximately 3% in accuracy and an improvement in the issue of boundary inconsistency, which is a problem associated with Semantic Segmentation based deep learning models.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.2
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• pp.435-452
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• 2023

This study experimented with automatic classification of subject headings using BERT-based transfer learning model, and analyzed its performance. This study analyzed the classification performance according to the main class of KDC classification and the category type of subject headings. Six datasets were constructed from Korean national bibliographies based on the frequency of the assignments of subject headings, and titles were used as classification features. As a result, classification performance showed values of 0.6059 and 0.5626 on the micro F1 and macro F1 score, respectively, in the dataset (1,539,076 records) containing 3,506 subject headings. In addition, classification performance by the main class of KDC classification showed good performance in the class General works, Natural science, Technology and Language, and low performance in Religion and Arts. As for the performance by the category type of the subject headings, the categories of plant, legal name and product name showed high performance, whereas national treasure/treasure category showed low performance. In a large dataset, the ratio of subject headings that cannot be assigned increases, resulting in a decrease in final performance, and improvement is needed to increase classification performance for low-frequency subject headings.

• Journal of Korea Entertainment Industry Association
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• v.13 no.8
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• pp.131-142
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• 2019

This paper is intended to examine and analyze the new Chinese words as the result of culture content. The development of the Korean entertainment industry has created a Korean wave around the world. Through this, many Korean words, Internet vocabulary, and cultural concepts have begun to enter China. Among them, there are many new words that have appeared on the Chinese Internet due to the culture content. As the number of Korean fans and Korean learners increases, new words on the Internet are widely used. The new Chinese words, which are influenced by Korean cultural content, are considered an important part of new Chinese vocabulary. To accurately recognize and understand this, first of all six categories of the new Chinese words were analyzed, which were figurative meaning, substitution, loan of foreign words, abbreviation, compound word, derivation. This formulation also works on the Chinese words with the influence of cultural content. There are three types of the Internet new words form Korean cultural. Which were new words in Chinese characters, new words in alphabets, extended meanings. And had analyzed new words through the acquisition of new meanings. Also took specific news titles and songs according to each category. Through new Chinese words, The influence of cultural content had been confirmed. It is expected that these new Chinese words enrich Chinese vocabulary, also help to facilitate communication. And these new Chinese words are often used in public media or in everyday life. We should recognize the existence of these new Chinese words, and have an accurate perception of them.

• Korean Journal of Social Welfare Studies
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• v.42 no.2
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• pp.123-153
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• 2011

This study tries to categorize innovation types for social welfare organizations and investigate the level of innovation in each type in practical field. Firstly, this study scrutinizes the concept and classification's criterias of innovation. Secondly, this study reviews not only classification of innovation in profit organization but also several researches of innovation in service industry and public sectors, and finally, this study makes a suggestion of innovations' classification that is applicable for social welfare organizations. Based on this suggestion, fifteen questions are designed to ask the innovative activities in the organizations. And total 496 respondents from 116 organizations answered these questionnaire. The outcomes of this survey were substantiated by second data through converted procedures to mean value of organizations. Consquently, service innovation, administrative innovation and human resource innovation, proposed based on theoretical review, were subdivided into six categories such as service innovation, structural innovation, internal and efficiency innovation, marketing and communication innovation, external and employment innovation and evalution and mission innovation. The mean value of service(mean=14.7) and marketing innovation(mean=13.3) are higher than other type of innovations, which shows the aspect of innovative activities in social welfare organizations. Based on this result, we can get the directions of following study in investigating innovation of social welfare organization.

• Therapeutic Science for Rehabilitation
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• v.12 no.4
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• pp.135-151
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• 2023

Objective : This study was conducted to confirm the effect of the oral motor facilitation technique (OMFT) on oral motor function in stroke patients. Methods : This study was conducted on 72 stroke patients with dysphagia were included. Thirty-six patients were randomly assigned to the experimental and control groups were randomly classified into 36 patients each using a random table, and a two-group pre-post test was designed. The experimental group underwent OMFT, and the control group underwent traditional dysphagia therapy for 30 min, once a day, 5 times a week for 4 weeks, for a total of 20 sessions. The Comprehensive Orofacial Function Scale (COFFS) was used to evaluate oral motor function. Repeated-measures analysis of variance (ANOVA) was performed to confirm the effect of the period, and an independent t-test was performed to analyze the difference in change between the two groups. Results : Total COFFS scores improved in both groups. The experimental group showed significant changes in mandibular and lip movements, cheek blows, and tongue movements. In addition, there were significant differences depending on the intervention period in terms of masticatory distribution, food spillage, swallowing of solid and liquid foods, and voice changes. There were significant differences in the mandibular opening and closing categories between the two groups. Conclusion : OMFT is effective in improving oral motor function in stroke patients with dysphagia and can be used as basic evidence in clinical practice.