• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.8
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• pp.3672-3681
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• 2013

The purpose of this study was to analyze subculture of professional football supporters with a view of Bourdieu's Habitus theory. What sorts of mechanism were worked when supporters formed their Habitus. The methods adopted in the article was qualitative. The qualitative information on the nature of their fandom was gleaned from 'virtual participant observation' or 'interviewing' of professional football fans that participated in discussions on the internet and participant observation of professional fans. The intensity and criteria sampling method was used to select 6 supporters who had participated in the supporting activities for more than five years and played crucial roles in running their organization as officials. The textual analysis which is consisting of translation, coding, and processing was used to mean the identification and exegesis of contextualization cues that make a text meaningful to the professional football supporters. an intended audience. The findings of this study were that (1) the subculture variety of activities for players and coaching staffs were the fundamental factors when supporters formed their subculture. (2) the professional supporters became habitus through the progressively development of subcultures such as enthusiastic supporters, small meetings, and events relating to soccer players.

• Journal of the Korean Home Economics Association
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• v.39 no.9
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• pp.189-207
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• 2001

The purpose of this study is to explore an implied meaning of family ethics consciousness from the interpretation of early marriage discourse during the enlightenment period of Korea. For the analysis, the estimated time frame of the enlightenment period wile be from 1860 to 1910 that was the time when the Japanese annexed Korea. The discourse of newspapers, Shinsoseols and magazines which are the text of the study have been analysed with the qualitative research technique. The major findings were as follows: 1. The intellects stated that the traditional practice of early marriage should be abolished, and should be replaced by a marriage that the groom and the bride dually agree upon. This argument meant that marriage was not an event for the parents or the family, but a life event for the couples themselves. 2. The practice of early marriage was criticized as it was one of the main reason of making marital relationship miserable. Also it was stated that the children could not follow the role of husband and wife. The importance of marital relationship was emphasized with the recognition that the marital relationship was the basic relationship within family and society. 3. The discourse, criticizing the parents'behavior that enforced the early marriage of children, stated that the children should not be the possession of parents but the public being of society. 4. The discourse also stated that the society and the parents should recognize their children as the human being to be protected from the early marriage which would result in physical damage of their children. Also the discourse asserted the rights of the children including their rights of education. The childhood were being formed in these discourses.

• Journal of The Korean Association For Science Education
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• v.30 no.4
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• pp.437-451
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• 2010

The purpose of this study was to analyse beginning science teachers' PCK. For the purpose of this study, two beginning science teachers were chosen in public middle school. Qualitative data were collected through classroom observation recording, semi-structured interviews, and other document data. Data were analysed using the constant comparative method. The results indicated that the two beginning science teachers' PCK had little differences; both have insufficient knowledge of science curriculum and assessment, and their PCK had quite differences in the instructional strategies and the orientations toward teaching science. Though they were aware of students' various levels, their common teaching method focused on delivery of science text knowledge for poor understanding about student. In conclusion, the two beginning teachers' PCK were still similar with preservice teachers. To develop beginning teachers' PCK, it needs to change the paradigm of pre-service teachers education program and to expand in-service teachers training and supporting program.

• Journal of Korean Society of societal Security
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• v.4 no.2
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• pp.29-40
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• 2011

The objective of this paper is to develop an intelligent decision support system that is able to advise disaster countermeasures and degree of incidents on the basis of the collected and analyzed signs of disasters. The concepts derived from ontology, text mining and case-based reasoning are adapted to design the system. The functions of this system include term-document matrix, frequency normalization, confidency, association rules, and criteria for judgment. The collected qualitative data from signs of new incidents are processed by those functions and are finally compared and reasoned to past similar disaster cases. The system provides the varying degrees of how dangerous the new signs of disasters are and the few countermeasures to the disaster for the manager of disaster management. The system will be helpful for the decision-maker to make a judgment about how much dangerous the signs of disaster are and to carry out specific kinds of countermeasures on the disaster in advance. As a result, the disaster will be prevented.

• Imaging Science in Dentistry
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• v.52 no.4
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• pp.333-342
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• 2022

Purpose: The goal of this systematic review was to compare the use of cone-beam computed tomography (CBCT) with that of computed tomography (CT) for volumetric evaluations of the tongue and oral cavity. Materials and Methods: A search for articles was conducted in accordance with the Preferred Reporting Items for Systematic Review and Meta-analyses guidelines. The PubMed, Scopus, ScienceDirect, and SAGE Journals databases were searched for articles published between 2011 and 2021. Articles were screened and assessed for eligibility. Screening involved checking for duplication, reading the title and abstract, and reading the full text. Results: The initial search retrieved 25,780 articles. Application of the eligibility criteria yielded 16 articles for qualitative analysis. Multiple uses of CBCT were identified. In several studies, researchers assessed the volumetric correlation between tongue and oral cavity volumes, as well as other parameters. Post-treatment volumetric evaluations of the oral cavity were also reported, and the reliability of CBCT was assessed. The use of CT resembled that of CBCT. Conclusion: CBCT has been used in the evaluation of tongue and oral cavity volumes to assess correlations between those volumes and with the upper airway. It has also been used for volumetric evaluation after surgical and nonsurgical procedures and to assess the relationships between tongue volume, tooth position, occlusion, and body mass index. Participants with obstructive sleep apnea and malocclusion have been evaluated, and the reliability of CBCT has been assessed. In the included studies, CT was utilized for similar purposes as CBCT, but its reliability was not assessed.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.419-424
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• 2021

The purpose of this study is to understand the educational context including the actual learning process and learner perception using the embodied metaphor in AI education. To this end, a class was designed to utilize the embodied metaphor-based unplugged activity through a qualitative approach. Matrix analysis technique was used to analyze the data collected throughout the course of the class to analyze the experiences and perceptions according to the characteristics of the learner, and the learning context. The results of the study were: First, there was a difference according to the learner's prior experience in the effect on the representative knowledge and the subsequent practice process. Next, the embodied metaphor-based unplugged activity showed soft landing effects on practice and text coding. Finally, the organic integration of unplugged and plugged-in classes helped learners understand the potential of computational thinking.

• Journal of Korean Academy of Dental Administration
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• v.6 no.1
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• pp.11-18
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• 2018

The aim of this study was to evaluate the competency of the Easyperio test, a genetic test method based on real time PCR for the detection of bacteria that cause dental caries and periodontal disease. To verify the validity of this text, various dental health evaluations were administered to 33 boys between the ages of 12 to 14, as this age group commonly experiences dental caries. These evaluations included a dental caries experience survey, a first molar health evaluation, the Dentocult Streptococcus mutans (SM) strip mutans, the Dentocult Lactobacillus spp (LB) test, and the Easyperio test. The correlation coefficients between the level of the Dentocult SM strip mutans and the dental caries experience were DT (R=0.570, p=0.001), DMFT (R=0.376, p=0.031), and first molar health (R=-0.395, p=0.023). The correlation coefficients between the amount of SM in the Easyperio test and dental caries experience were DT (R=0.528, p=0.002), DMFT (R=0.369, p=0.035), and first molar health (R=-0.426, p=0.013). The correlation coefficients between the level of the dentocult SM strip mutans and the SM amounts of the Easyperio test were S.mi (R=0.564 p=0.001) and S.mu (R=0.621, p=0.002). The correlation coefficients between the level of the Dentocult LB test and the SM amount of Easyperio test was S.mi (R=0.495, p=0.003). In conclusion, Easyperio test may be an easy and effective method for the differentiation and diagnosis of dental caries through quantitative and qualitative analysis of oral bacteria.

• Journal of Service Research and Studies
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• v.13 no.1
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• pp.96-107
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• 2023

The objective of this study is to explore future issues that Chinese users, who have the highest mobile payment service usage rate in the world, will be most interested in. For this purpose, after collecting text data from a Chinese SNS site, it classifies major keywords into 4 types of future signals by using Keyword Emergence Map (KEM) and Keyword Issue Map (KIM). Furthermore, to understand the four types of signals in detail, it performs the qualitative analysis on text related to each signal keyword. As a result, it finds that the strong signal, which is rapidly growing in keyword appearance frequency during this research period, includes the keywords related to the daily life of Chinese people, such as buses, subways, and household account books. Additionally, it find that the signal that appears frequently now, but with a low increase rate, includes various services that can replace cash payment, such as hongbao (cash payment) and bank cards. The weak signal and latent signal, which appear less often than other two signals, includes the keywords related to promotion events or changes in service regulations. Its result shows that the mobile payment services greatly have changed user's daily life beyond providing convenience. Furthermore, it shows that, in the Chinese market, in which card payment is not common, the mobile payment services have the great potential to completely replace cash payment.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.3
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• pp.1-12
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• 2024

In this paper, we fine-tuned KoAlpaca, a large-scale Korean language model, and implemented a blog text generation system utilizing it. Blogs on social media platforms are widely used as a marketing tool for businesses. We constructed training data of positive reviews through emotion analysis and refinement of collected sponsored blog texts and applied QLoRA for the lightweight training of KoAlpaca. QLoRA is a fine-tuning approach that significantly reduces the memory usage required for training, with experiments in an environment with a parameter size of 12.8B showing up to a 58.8% decrease in memory usage compared to LoRA. To evaluate the generative performance of the fine-tuned model, texts generated from 100 inputs not included in the training data produced on average more than twice the number of words compared to the pre-trained model, with texts of positive sentiment also appearing more than twice as often. In a survey conducted for qualitative evaluation of generative performance, responses indicated that the fine-tuned model's generated outputs were more relevant to the given topics on average 77.5% of the time. This demonstrates that the positive review generation language model for sponsored content in this paper can enhance the efficiency of time management for content creation and ensure consistent marketing effects. However, to reduce the generation of content that deviates from the category of positive reviews due to elements of the pre-trained model, we plan to proceed with fine-tuning using the augmentation of training data.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.2
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• pp.126-132
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• 2015

Technology forecasting is about understanding a status of a specific technology in the future, based on the current data of the technology. It is useful when planning technology management strategies. These days, it is common for countries, companies, and researchers to establish R&D directions and strategies by utilizing experts' opinions. However, this qualitative method of technology forecasting is costly and time consuming since it requires to collect a variety of opinions and analysis from many experts. In order to deal with these limitations, quantitative method of technology forecasting is being studied to secure objective forecast result and help R&D decision making process. This paper suggests a methodology of technology forecasting based on quantitative analysis. The methodology consists of data collection, principal component analysis, and technology forecasting by logistic regression, which is one of the data mining techniques. In this research, patent documents related to autonomous vehicle are collected. Then, the texts from patent documents are extracted by text mining technique to construct an appropriate form for analysis. After principal component analysis, logistic regression is performed by using principal component score. On the basis of this result, it is possible to analyze R&D development situation and technology forecasting.