• Journal of the Korea Society of Computer and Information
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• v.25 no.12
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• pp.261-270
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• 2020

In this study, we identify promising technologies for Piggyback transportation system by analyzing the relevant patent information. In order for this, we first develop the patent database by extracting relevant technology keywords from the pioneering research papers for the Piggyback flactcar system. We then employed textmining to identify the frequently referred words from the patent database, and using these words, we applied the LDA (Latent Dirichlet Allocation) algorithm in order to identify "topics" that are corresponding to "key" technologies for the Piggyback system. Finally, we employ the ARIMA model to forecast the trends of these "key" technologies for technology forecasting, and identify the promising technologies for the Piggyback system. with keyword search method the patent analysis. The results show that data-driven integrated management system, operation planning system and special cargo (especially fluid and gas) handling/storage technologies are identified to be the "key" promising technolgies for the future of the Piggyback system, and data reception/analysis techniques must be developed in order to improve the system performance. The proposed procedure and analysis method provides useful insights to develop the R&D strategy and the technology roadmap for the Piggyback system.

• Journal of the Korea Fashion and Costume Design Association
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• v.24 no.2
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• pp.45-57
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• 2022

This study aims to analyze the macramé technique used in costume design based on the cases from 2011 to 2020, when the macramé technique became popular. The research data are the results of analyzing the materials, clothing items, and structural combination of macramé knots by season, year, and collection from 2011 S/S to 2020 F/W, focusing on the four major fashion collections New York, Paris, London, and Milan. Macramé appeared often in the S/S season, and in the 2019 and 2020 S/S seasons, macramé was identified as a keyword for fashion trends based on its frequent usage. Overhand knots were used the most for the types of macramé knots used in costumes, and overhand knots were also used the most in the S/S season and in the New York, Paris, and Milan collections. Rope was the most frequently used material for macramé knots, and it was confirmed that it appeared frequently in 2011 and 2019, and ropes were also used often in the London, Milan, and Paris collections. One-piece appeared the most in the S/S season and F/W season as costume items. In addition, the costumes used as layers in the S/S season appeared most often, and in 2019 and 2020, the layered combination appeared most frequently in London and New York collections. It is judged that macramé appears repeatedly in the S/S season depending on the type of knot and is used as a layered look, making it a decorative element rather than a practical element. This study is expected to help develop modern fashion design by drawing attention to the value of the macramé technique expressed as handcrafted work.

• The Korean Journal of Franchise Management
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• v.13 no.4
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• pp.1-12
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• 2022

Purpose: In 2020, the franchise industry accomplished a significant growth compared to the previous year, as the number of franchise companies increased by 9.0% while the number of franchise brands increased by 12.5%. Despite growth in size, the Korean franchise industry underwent many negative incidents, such as franchise ownership sales to private equity funds, that led to deterioration of businesses. From this point of view, this study aims to make various proposals to help policy makers develop franchise industry policies by analyzing trends of the current and previous presidential administrations' franchise policies and regulations using newspaper articles. Research design, data and methodology: A total of 7,439 articles registered in Naver API from February 25, 2013 to November 29, 2021 were extracted. Among them, 34 unrelated video articles were deleted, and a total of 7,405 articles from both administrations were used for analysis. The R package was used for word frequency analysis, word clouding, word correlation analysis, and LDA (Latent Dirichlet Allocation) topic modeling. Results: The keyword frequency analysis shows that the most frequently mentioned keywords during the previous administration include 'no-brand', 'major company', 'bill', 'business field', and 'SMEs', and those mentioned during the current administration include 'industry' and 'policy'. As a result of LDA topic modeling, 9 topics such as 'global startups' and 'job creation' from the previous administration, and 10 topics such as 'franchise business' and 'distribution industry' from the current administration were derived. The results of LDAvis showed that the previous administration operated a policy based on mutual growth of large and small businesses rather than hostile regulations in the franchise business, whereas the current administration extended the regulation related to franchise business to the employment sector. Conclusions: The analysis of past two administrations' franchise policy, it can be suggested that franchisors and franchisees may complement each other in developing the Fair Transactions in Franchise Business Act and achieving balanced growth. Moreover, political support is needed for sound development of franchisors. Limitations and future research suggestions are presented at the end of this study.

• Journal of People, Plants, and Environment
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• v.24 no.6
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• pp.563-572
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• 2021

Background and objective: The ongoing COVID-19 pandemic restricted daily life, forcing people to spend time indoors. With the growing interest in mental health issues and residential environments, 'pet plants' have been receiving attention during the unprecedented social distancing measures. This study aims to analyze the change in trends of pet plants before and during the COVID-19 pandemic and provide basic data for studies related to pet plants and directions of future development. Methods: A total of 2,016 news articles using the keyword 'pet plants' were collected on Naver News from January 1, 2018 to August 15, 2019 (609 articles) and January 1, 2020 to August 15, 2021 (1,407 articles). The texts were tokenized into words using KoNLPy package, ultimately coming up with 63,597 words. The analyses included frequency of keywords and topic modeling based on Latent Dirichlet Allocation (LDA) to identify the inherent meanings of related words and each topic. Results: Topic modeling generated three topics in each period (before and during the COVID-19), and the results showed that pet plants in daily life have become the object of 'emotional support' and 'healing' during social distancing. In particular, pet plants, which had been distributed as a solution to prevent solitary deaths and depression among seniors living alone, are now expanded to help resolve the social isolation of the general public suffering from COVID-19. The new term 'plant butler' became a new trend, and there was a change in the trend in which people shared their hobbies and information about pet plants and communicated with others in online. Conclusion: Based on these findings, the trend data of pet plants before and after the outbreak of COVID-19 can provide the basis for activating research on pet plants and setting the direction for development of related industries considering the continuous popularity and trend of indoor gardening and green hobby.

• Journal of The Korean Society of Integrative Medicine
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• v.11 no.3
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• pp.171-183
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• 2023

Purpose : This study sought to investigate research trends regarding joint mobilization type among patients with shoulder joint diseases. Methods : A scoping review was conducted according to the five steps outlined by Arskey and O'Malley and PRISMA-ScR. We searched six domestic databases (ScienceOn, DBpia, Riss, Kmbase, Kiss, KCI) and three international databases (CINAHL, Pubmed, Cochrane central) between 2013 and June 2023. The keyword terms used were 'joint mobilization', 'Kaltenborn', 'Maitland', 'Mulligan', and 'shoulder joint'. Results : There were a total of 44 studies that investigated the topic, and these were divided into quantitative analysis and topic analysis. In terms of publication year, the number of studies within the last five years has increased more than compared to the previous five years, with most of them being randomized clinical trials. In shoulder joint diseases, it was found that the majority of joint movement studies focused on adhesive joint cystitis and shoulder collision syndrome. The Mulligan concept was the most commonly studied type of joint motion. The dependent variables used included pain, joint function (disability), and muscle function. The visual analog scale was the most commonly used for the pain variable, followed by the numeric rating scale. For joint function and disability variables, range of motion was the most commonly used, followed by shoulder pain and disability index, and disabilities of the arm, shoulder, and hand. For muscle function, variables such as muscle tone, strength, and activity were used. Conclusion : We believe that findings of this scoping review can serve as valuable mapping data for joint mobilization research on shoulder joint diseases. Further studies including systematic reviews and meta-analyses based on these results are recommended.

• Journal of the Korean Society of Clothing and Textiles
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• v.47 no.4
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• pp.625-645
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• 2023

This study examined newspaper articles from 2012 to the first quarter of 2021 to explore how interest in and response to veganism have evolved in the fashion and beauty industries over the past decade. By analyzing keywords and word correlations, we discovered a steady increase in veganism-related articles in both English- and Korean-language newspapers published in Korea, especially since 2019. Since 2012, consumer interest in vegan fashion materials has grown, with fashion and beauty emerging in 2018 as significant vegan-related keywords. As a result, brands have adopted vegan certification systems and introduced vegan product lines, and new vegan brands have emerged. Since 2020, companies have been promoting environmental, social, and governance (ESG) management practices and working toward eco-management that reflects vegan trends in all areas, such as cruelty-free product/packaging materials, brands, policies, and services. It is also notable that fashion/beauty consumers have been more actively starting to adopt eco-friendly lifestyles and participate in vegan-related movements since that time. Our findings offer important insights into the evolution of veganism in Korea and can help researchers and industry practitioners to develop future business strategies in the vegan fashion and beauty industries.

• Journal of Wellness
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• v.7 no.2
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• pp.113-121
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• 2012

This study chose the academic journals related with e-sports for analysis among the top tier journals of National Research Foundation of Korea from 2006 to 2011 to check the academic trend Beginning in 2006, the first study of e-sports was published in the journal related with e-sports. So, the studies from 2006 to 2011 were chosen for analysis. Using Research Information Sharing Service(RISS), the keyword 'e-sports' was searched. By virtue of this process, total 27 studies were selected as final analysis. So, the academic trends are as follows. In Korea, the studies related with e-sports have started from the beginning of 2000s with internet and then it spread out via cable TV. And then from the middle of 2000s, e-sports was discussed seriously. The early subject of the studies usually focused on the measurement of e-sports based on the strategic elements as a product. After that, game addiction and violent tendency which were one of the biggest issues were raised as a constant problem and it became the academic studies of user behavior. E-sports became a recreation culture of teenagers so it has been in charge of the role of exit and the problems related with it have continuously appeared. So, the academic studies tend to have departmentalization like immersion, addiction, sociality, self-regulation and etc. But, there was a tendency that the similar contents were repeated in the view point of subject and method while the subjects were departmentalized. So, for the systematic study of e-sports, development of the unique subject, study method and verification process should be conducted continuously.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.151-154
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• 2021

Big data analysis is the process of discovering meaningful new correlations, patterns, and trends in large volumes of data stored in data stores and creating new value. Thus, most big data analysis technology methods include data mining, machine learning, natural language processing, and pattern recognition used in existing statistical computer science. Also, using the R language, a big data tool, we can express analysis results through various visualization functions using pre-processing text data. The data used in this study was analyzed for 21 papers in the March 2021 among the journals of the Korea Institute of Information and Communication Engineering. In the final analysis results, the most frequently mentioned keyword was "Data", which ranked first 305 times. Therefore, based on the results of the analysis, the limitations of the study and theoretical implications are suggested.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.326-327
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• 2021

Newly, big data utilization has been widely interested in a wide variety of industrial fields. Big data analysis is the process of discovering meaningful new correlations, patterns, and trends in large volumes of data stored in data stores and creating new value. Thus, most big data analysis technology methods include data mining, machine learning, natural language processing, and pattern recognition used in existing statistical computer science. Also, using the R language, a big data tool, we can express analysis results through various visualization functions using pre-processing text data. The data used in this study were analyzed for 29 papers in a specific journal. In the final analysis results, the most frequently mentioned keyword was "Research", which ranked first 743 times. Therefore, based on the results of the analysis, the limitations of the study and theoretical implications are suggested.

• The Journal of the Convergence on Culture Technology
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• v.9 no.4
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• pp.201-210
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• 2023

The purpose of this study is to analyze the general characteristics, effect size, and qualitative indicators of self-advocacy studies of people with developmental disabilities published in domestic academic journals and theses. For this purpose, among a total of 2153 papers related to self-advocacy published from 2000 to 2023, 41 studies with developmental disabilities as the keyword were selected, and the specific research results are as follows. Based on the results of this study, when developing a language intervention program related to self-advocacy for people with developmental disabilities, it is recommended to develop an intervention program based on the number of sessions of 10-19 in a learning situation with 20-30 people in adolescents and adults, or during the transition period. There are many studies limited to educational aspects such as special education and integrated education, and by applying this, it is hoped that a self-advocacy language intervention program will be developed at the level of language rehabilitation that can effectively and sophisticatedly assert self-assertion and self-rights after experiencing difficulties in communication.