• Journal of the Korean Home Economics Association
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• v.32 no.3
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• pp.105-120
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• 1994

The purposes of this research are to find out general trends of mother-adolescent communication and family stress to estimate the differences of communication patterns and family stress according to sociodemographic and communication variables and to analyze communication variables influencing on family stress. The samples were selected from high school students and their mothers and 342 couples were used in final analysis. Barnes & Olson(1982)'s parent-adolescent communication scale(PACI) and McCubbin(1981)'s family stress scale(FILE) were used to measure mother-adolescent communication pattern and family stress. The data were analyzed by frequency, percentage, mean, Chi-square, F-test Duncan-test, multiple regression, Pearson's r, and Chronbach's α. The result are summerized as follows: 1) Mothers highly perceived mother-adolescent open communication pattern but adolescents highly revealed mother-adolescent close communication pattern. The general trends of family stress showed that adolescents stress is higher than mothers. 2) Communication patterns showed significant differences in mother's age, adolescent's sex and communication variables in mother's education and conversation variables. Generally when mothers and adolescents communicated insufficiently and were not satisfied with communication patterns family stress was increased. 3) Family stress was significantly different in communication patterns. Form the regression analysis it was found that communication patterns are crucial to family stress. Especially open communication pattern between mothers and adolescents was the most important among the communication patterns for family stress was reduced.

• Fashion, Industry and Education
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• v.15 no.2
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• pp.36-52
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• 2017

In this study, we tried to understand preschooler clothing trends and identify the purchase behaviors of various consumers, such as grandparents, aunts, uncles, and parents, who are the main consumers of the preschooler clothing market. We conducted in-depth interviews with consumers who were interested in preschooler clothing, purchased it frequently, and bought preschooler clothing within the last three months. Their purchase motivations and purchase behaviors were analyzed through exploratory and inductive analysis. The analysis was conducted by integrating categories into one process centered on core categories through open coding, axial coding, and selective coding. The results of this study included that 1) a variety of clothing purchase behaviors appeared as a central phenomenon, 2) the causal conditions that contributed to this phenomenon were the buyers' childcare experiences, purchase experiences, the personal consumption values of individuals, and income levels, 3) in response to the central phenomenon, the parents' action/interaction strategies were acceptance and rejection of purchased clothing, 4) contextual and Intervening conditions affecting action/interaction strategy were family environment changes, the VIB (Very Important Baby) phenomenon, parents' clothing involvement, and the relationship with the buyers, and acceptance by the users, and 5) as a result of the strategy expressed as acceptance and rejection, various clothing behaviors emerged. In this study, we identified that there are various influencers, apart from parents, involved in children's clothing consumption. Therefore, we need to keep in mind that various purchase behaviors and clothing trends that appear during one's childhood may affect the individual's clothing behavior in the future.

• Convergence Security Journal
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• v.17 no.2
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• pp.23-32
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• 2017

With the development of information and communication technology, various data including digital data have increased exponentially. In a society where such data utilization is generalized, criminal investigation processes and trial processes have also been influenced. However, in comparison with the progress of the technical capability and analytical capability of digital certification which is increasing exponentially, the establishment of the digital forensic related legal system is still in short supply. Therefore, it is necessary to activate balanced research for legal recognition of digital certification. Therefore, in this research, meta analysis was conducted to grasp trends of research related to digital forensics and to provide objective data for research revitalization.

• Journal of Family Relations
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• v.21 no.2
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• pp.53-75
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• 2016

Objectives: The purpose of the present study is to analysis the trends of and issues in research about parentification in Korea up to date, and to propose directions for further studies. Methods: For this purpose, eighty one theses and articles about parentification, published from 2003 to 2015 were categorized according to research subjects, research objects, research methods, statistical analysis methods, and related variables with the parentification. Results: Consequently, first, the number of articles published has been gradually increased. Second, the main research subjects were the characteristics and trait of parentification, an interpersonal relationship and family. Third, the common research objects were undergraduate student/graduate student and youth(middle/high school students). Fourth, the quantitative research methods have been used mainly. FRS-A(Filial Responsibility Scale-Adult) and FRS-Y(Filial Responsibility Scale-Youth) have been used most. A high frequency related variables with parentification were the affectiveness-related variables, in particularly, the shame proneness is the highest correlation variables. Conclusions: Based on the findings in this study, it is suggested that the research objects should be more varied and the Korean parentification measurements need to be developed in the near future.

• The Research Journal of the Costume Culture
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• v.29 no.3
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• pp.388-405
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• 2021

This study classifies the compositional methods of power shoulder jackets from 1980 to the present. It analyzes the relevance of jacket details according to how the power shoulder changes and its compositional methods by era. The research subdivides shoulder compositional techniques into seven, based on shoulder variation, sleeve variation, and the body and sleeve combination. The researcher investigates the frequency and trends of composing shoulders and analyzes details pertaining to the silhouette, jacket length, collar shape, and front closure. The most common method of shoulder composition is an angular shoulder variation. The others are a rounded shoulder variation, puffed sleeve, sleeve variation using pattern incision, raglan and kimono sleeves, and a shoulder variation that expanded the angle and width. The frequency differs slightly for each era. The relationship between shoulder compositional methods and details of power shoulder jackets is statistically significant, showing period-related differences. The homogeneity analysis results reveal that the shoulder composition of power shoulder jackets, the times, and details fall into distinct groups. This analysis shows that the silhouette, length, collar, and front closure of the power shoulder jacket differ depending on the power shoulder's compositional methods. Moreover, the shape of the power shoulder jacket is distinctly different. One can use this data to help develop the power shoulder jacket design by reflecting the details of shoulder compositional methods and changing trends over time.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.2
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• pp.152-159
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• 2023

Due to COVID-19, changes in consumption trends are taking place in the distribution sector, such as an increase in non-face-to-face consumption and a rapid growth in the online shopping market. However, it is difficult for small and medium-sized export sellers to obtain forecast information on the export market by country, compared to large distributors who can easily build a global sales network. This study is about the prediction of export amount and export volume by country and item for market information analysis of small and medium export sellers. A prediction model was developed using Lasso, XGBoost, and MLP models based on supervised learning and deep learning, and export trends for clothing, cosmetics, and household electronic devices were predicted for Korea's major export countries, the United States, China, and Vietnam. As a result of the prediction, the performance of MAE and RMSE for the Lasso model was excellent, and based on the development results, a market analysis system for small and medium sellers was developed.

• Journal of architectural history
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• v.32 no.6
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• pp.63-75
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• 2023

Based on my attendance at the CIPA International Symposium(CIPA2023) organized by the International Scientific Committee on Heritage Documentation(ICOMOS), this paper explored research cases applying digital technologies, including BIM, to architectural heritage. The researches presented at this symposium were categorized into specific areas: data acquisition, data management, data sharing&experience. Through this classification, an analysis of research cases in architectural heritage utilizing digital technology was conducted. By categorizing the 43 academic papers from the CIPA2023 based on research themes, trends in the digital architecture field were analyzed, providing insights into future research directions for the digital acquisition, management, sharing, and experiential aspects of Korean architectural heritage. In conclusion, it is deemed necessary to reference and supplement the methodologies, including algorithms, workflows, and approaches developed in each study, to effectively apply methodologies suitable for the characteristics of Korean architectural heritage and its data.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.4
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• pp.326-331
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• 2023

Korea's cultural content industry can develop into another unique tourism industry. However, since other prior studies focus on the Japanese content industry, this study identifies modern industrial trends by combining the unique characteristics of Korean content, that is, cultural content tourism, and the analysis ability of big data. The current status and direction of the cultural content tourism industry were studied by utilizing the extensive information collection and in-depth analysis capabilities of big data, and as a result, it was confirmed that the trend of the cultural content industry is related to the business aspect of cultural content, not the pure content interest of cultural content. This shows that Korean cultural contents have a strong business aspect. As a limitation, when research design was conducted using social media big data, the age, gender, etc. of the subject analyzed with unique anonymity could not be known. The Korean cultural content industry is expected to be successful in terms of business.

• Journal of Information Technology Applications and Management
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• v.29 no.6
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• pp.1-12
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• 2022

In recent years, technological competition in the automobile sector is accelerating. This study analyzes the status of patents from a global perspective of three promising future items that Korea has selected as core technologies in the field of autonomous driving,. And the technological cooperation ecosystem was identified through network analysis centered on scientific metrology. As a result of the analysis, it was confirmed that the growth of individual technologies has been strengthened in recent years, and although key source technologies have been largely preempted in major global countries, a close cooperative ecosystem between institutions, companies, and universities in major countries has not yet been formed. Specifically, the US and Japan have the technological leadership, while China is rapidly rising, and Korea is chasing after it as a latecomer. Therefore, it is necessary to continuously strengthen technological cooperation such as R&D of core technology to overcome technological limitations and strengthening of infrastructure construction, attracting excellent foreign talents and international exchanges. This analysis is meaningful in that it explores the global status of Korea's technology and the possibility of technological cooperation from various perspectives in the future from the viewpoint of preoccupation of future technology, rather than grasping the trend of a specific technology.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.1
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• pp.19-30
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• 2023

An electric scooter(e-scooter), one popularized micro-mobility vehicle has shown rapidly increasing use in many cities. In South Korea, the use of e-scooters has greatly increased, as some companies have launched e-scooter sharing services in a few large cities, starting with Seoul in 2018. However, the use of e-scooters is still controversial because of issues such as parking and safety. Since the perception toward the means of transportation affects the mode choice, it is necessary to track the trends for electric scooters to make the use of e-scooters more active. Hence, this study aimed to analyze the trends related to e-scooters. For this purpose, we analyzed news articles related to e-scooters published from 2014 to 2020 using dynamic topic modeling to extract issues and sentiment analysis to investigate how the degree of positive and negative opinions in news articles had changed. As a result of topic modeling, it was possible to extract three different topics related to micro-mobility technologies, shared e-scooter services, and regulations for micro-mobility, and the proportion of the topic for regulations for micro-mobility increased as shared e-scooter services increased in recent years. In addition, the top positive words included quick, enjoyable, and easy, whereas the top negative words included threat, complaint, and ilegal, which implies that people satisfied with the convenience of e-scooter or e-scooter sharing services, but safety and parking issues should be addressed for micro-mobility services to become more active. In conclusion, this study was able to understand how issues and social trends related to e-scooters have changed, and to determine the issues that need to be addressed. Moreover, it is expected that the research framework using dynamic topic modeling and sentiment analysis will be helpful in determining social trends on various areas.