• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.28 no.2
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• pp.144-150
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• 2018

Objectives: The purpose of this study is to analyze the trend for exceedance of the domestic permissible exposure limit of benzene based on a review of the previous literature. Materials and methods: From among 13 chemical substances regulated through a PEL (Permissible Exposure Limit) in the Occupational Safety and Health Act, the research object of this study is benzene. The information utilized is work environment measurement data from 2004 to 2013. The highest level among the concentration data measured at various workplaces was selected as a representative value through the data process. N.D. (Not Detected) data was considered as 1/2 of the LOD (limit of detection). Results: Among the work environment measurement data between 2004 and 2013, the highest number of exceeding workplaces and the excess rate (12 sites and 5.4%) was observed in the 2006 data when applying the current PEL for benzene. When compared with the action level, which means a level one-half of the PEL, 2005's data showed the highest number of exceeding workplaces and greatest excess rate (89 sites & 13.3%). The number of exceeding workplaces and excess rate relative to the PEL for benzene showed an increasing trend in 2004, but tended to decrease after 2007. Conclusions: Based on the results obtained from this study, the exposure level for benzene among domestic workers is not considered to be in a safe phase regardless of the year of work environment measurement. Thus, strict preventive management in workplaces should be provided for reducing exposure to benzene.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.372-372
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• 2021

The agriculture sector plays a vital role in the economy of Pakistan by contributing about 20% of the GDP and 42% of the labor force. Rivers from the top of Himalayas are the major water resources for this agriculture sector. Recent reports have found that Pakistan is one of the most vulnerable country to climate change that can cause water scarcity which is a big challenge to the communities. Previous studies have investigated the impact of climate change on the trend of streamflow, but the understanding of seasonal change in the regional hydrologic regimes remained limited. Therefore, a better understanding of the seasonal hydrologic change will help cope with the future water scarcity issue. In this study, we used the daily stream flow data for four major river basins of Pakistan (Chenab, Indus, Jhelum and Kabul) over 1962 - 2019. Utilizing these daily river discharge data, we calculated the winter-spring center time and the summer-autumn center times. In this study Winter-spring center time (WSCT) is defined as the day of the calendar year during which half of the total six months (Jan-Jun) discharge volume was exceeded. Results show that the four river basins experienced a statistically significant decreasing trend of WSCT, that is the center time keeps coming earlier compared to the past. We further used the Climate Research Unit (CRU) climate data comprising of the average temperature and precipitation for the four basins and found that the increasing average temperature value causes the early melting of the snow covers and glaciers that resulted in the decreasing of 1^st center time value by 4 to 8 days. The findings of this study informs an alarming situation for the agriculture sector specifically.

• International Journal of Naval Architecture and Ocean Engineering
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• v.6 no.2
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• pp.471-483
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• 2014

Since 2009 of global financial crisis, shipbuilding industry has undergone hard times seriously. After such a long depression, the latest global shipping market index shows that the economic recovery of global shipbuilding market is underway. Especially, nations with enormous resources are going to increase their productivity or expanding their shipyards to accommodate a large amount of orders expected in the near future. However, few commercial projects have been carried out for the practical shipyard layout designs even though those can be good commercial opportunities for shipbuilding engineers. Shipbuilding starts with a shipyard construction with a large scale investment initially. Shipyard design and the equipment layout problem, which is directly linked to the productivity of ship production, is an important issue in the production planning of mass production of ships. In many cases, shipbuilding yard design has relied on the experience of the internal engineer, resulting in sporadic and poorly organized processes. Consequently, economic losses and the trial and error involved in such a design process are inevitable problems. The starting point of shipyard construction is to design a shipyard layout. Four kinds of engineering parts required for the shipyard layout design and construction. Those are civil engineering, building engineering, utility engineering and production layout engineering. Among these parts, production layout engineering is most important because its result is used as a foundation of the other engineering parts, and also, determines the shipyard capacity in the shipyard lifecycle. In this paper, the background of shipbuilding industry is explained in terms of engineering works for the recognition of the macro trend. Nextly, preliminary design methods and related case study is introduced briefly by referencing the previous research. Lastly, the designed work of layout design is validated using the computer simulation technology.

• Journal of the Korea Furniture Society
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• v.27 no.3
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• pp.203-210
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• 2016

According to the research on the gender ratio of furniture design courses at universities, female students account for 70 to 80 percent of the total enrollments. Likewise, other design courses reveal the similar trend. Even though female students want to build up their career in the furniture design or related fields, the figure is not so high. There is a trend that many female designers tend to take time off or quite their jobs after their marriage for that reasons such as pregnancy, childbirth, the upbringing of children and so on. The study also shows that women with higher education feel more difficult to resume their careers after being left from economic activity for a long period; this results in the lower figure of women involved in the specialized jobs than men. In particular, the furniture companies avoid hiring old female designers because they believe that younger candidates are more capable of learning the latest style; therefore, it has become harder for the job seeks to win the competition in the job market. The data released by Statistics Korea in 2015 shows that there was the higher increase in female employees than the figure of the male workers, compared to the previous year. As it can be seen, female workforce was emerged as the new growth power; Nevertheless, the working environment and conditions haven't meet the demands from women despite the gradual rise of female job seekers inspired by their wish to achieve self-realization, gender equality. To conclude, this is to suggest the plans for the foundation and management of small-scale carpentry studios so that women, who have a degree in furniture design studies and wish to resume their careers after their long breaks, start their own carpentry studios so as to reach self-realization and feel satisfied with their work while earning their livelihoods.

• Journal of Digital Convergence
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• v.17 no.8
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• pp.141-148
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• 2019

Based on the theory of information ecology, this paper conducts a quantitative analysis on the research literature of e-commerce ecosystem in China, and clarifies the research hotspots and development trends, so as to provide reference for subsequent studies. With the key words related literatures collected by CNKI as the data source, and the software CiteSpaceIV is used to draw a visual knowledge map, the distribution of e-commerce ecosystem research papers in China is statistically analyzed by econometric analysis method, and literature research is summarized and evaluated. The research results show that previous studies mainly focus on the concept of e-commerce ecosystem, and there are relatively few research results on the construction and evolution mechanism of e-commerce ecosystem, so the depth and breadth of research should be expanded. Applying the concept of e-commerce ecosystem to solve the problems in cross-border e-commerce will be the future research trend.

• The Research Journal of the Costume Culture
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• v.17 no.2
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• pp.238-254
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• 2009

The purpose of this study were to examine fashion information acceptance and fashion information sources and to analyze the difference according to clothing shopping orientation among digital generation male consumers. The subject were 349 male who were belonging to digital generation as the digital era's new consumers familial with internet and various kinds of digital media. A self-administrated questionnaire was developed based on the results of previous researches. The data were analyzed by using frequency analysis, factor analysis, cluster analysis, ANOVA, Duncan test, $\chi^2$ test, multiple regression analysis by SPSS WIN 12.0 package. The results of this study are as follows: First, clothing shopping orientation of digital generation males were classified into 6 factors: fashion oriented, impulse buying, aesthetic pursuit, individuality pursuit, practical type and reasonable economy. Based on the factor scores, 3 clusters were identified; independent, unconcern, high involvement. Second, the high involvement shopping group utilized various information sources. On the other hand, the unconcerned shopping group was passive in utilizing information sources. Third, the fashion information acceptance of digital generation was classified into 5 factors: searching, leading, following, non-accepting, and delaying acceptance. All fashion information acceptance factors were affected by the information and communication media. Finally, The high involved type of shopping group accepted fashion information at its most and actively.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.12
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• pp.107-114
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• 2020

Technologies related scan-to-BIM for BIM-based reverse engineering techniques are beginning to be actively introduced in the A.E.C. industry, and the scalability of the technology is growing considerably. This study uses patent analysis based on objective data to find the right direction for Korean Scan-to-BIM technology by identifying the trends in Korea, the United States, Europe, and Japan. This was done using the WIPSON patent search system to find previous research on patent analysis related to building technology, theoretical consideration of scan-to-BIM technology, and published patents. We collected information, verified the process, and extracted valid patents. We used the effective patent data to analyze the annual trend of patent applications, national trends, and technological trends through the International Patent Classification (IPC) code, the types of the top 20 major applicants, and family patent trends.

• Korean Journal of Construction Engineering and Management
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• v.22 no.2
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• pp.31-41
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• 2021

The purpose of this study is to analyze the properties of previous studies related to vocations in the construction field. The results of the analysis are as follows. First, The paper has not been published at the beginning of the establishment of the academic foundation for vocational studies, but there was a marked increase over the next 15 years. Second, research related to vocations in the construction field has been more active in engineering than in social science. Third, the primary data method was used much more than the secondary data method, and the quantitative research method through a questionnaire was the most common research method. Fourth, human objects showed the highest frequency as 78.9%, and among them, technicians was the most. Fifth, as the research topic, psychological and behavioral aspects such as job satisfaction, job stress, turnover intention, and organizational commitment were dealt with most, and structural and environmental aspects such as national job competency standards, job analysis, construction accidents, and career development. It was also found that the topic of the research was actively being dealt with.

• Journal of Information Technology Services
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• v.23 no.1
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• pp.55-79
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• 2024

Korea, which is expected to enter a super-aged society in 2025, is facing the most worrisome crisis worldwide. Efforts are urgently required to examine problems and countermeasures from various angles and to improve the shortcomings. In this regard, from a new viewpoint, we intend to derive useful implications by applying the recent natural language processing techniques to online articles. More specifically, we derive three research questions: First, what topics are being reported in the online media and what is the public's response to them? Second, what is the relationship between these aging-related topics and individual happiness factors? Third, what are the strategic directions and implications for benchmarking discussed to solve the problem of population aging? To find answers to these, we collect Naver portal articles related to population aging and their classification categories, comments, and number of comments, including other numerical data. From the data, we firstly derive 33 topics with a semi-supervised BERTopic by reflecting article classification information that was not used in previous studies, conducting sentiment analysis of comments on them with a current open-source large language model. We also examine the relationship between the derived topics and personal happiness factors extended to Alderfer's ERG dimension, carrying out additional 3~4-gram keyword frequency analysis, trend analysis, text network analysis based on 3~4-gram keywords, etc. Through this multifaceted approach, we present diverse fresh insights from practical and theoretical perspectives.

• Journal of the Korea Society for Simulation
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• v.31 no.3
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• pp.35-44
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• 2022

In this study, we analyze and forecast quantum computer technology trends. Previous research has been mainly focused on application fields centered on technology for quantum computer technology trends analysis. Therefore, this paper analyzes important quantum computer technologies and performs future signal detection and prediction, for a more market driven technical analysis and prediction. As analyzing words used in news articles to identify rapidly changing market changes and public interest. This paper extends conference presentation of Cha & Chang (2022). The research is conducted by collecting domestic news articles from 2019 to 2021. First, we organize the main keywords through text mining. Next, we explore future quantum computer technologies through analysis of Term Frequency - Inverse Document Frequency(TF-IDF), Key Issue Map(KIM), and Key Emergence Map (KEM). Finally, the relationship between future technologies and supply and demand is identified through random forests, decision trees, and correlation analysis. As results of the study, the interest in artificial intelligence was the highest in frequency analysis, keyword diffusion and visibility analysis. In terms of cyber-security, the rate of mention in news articles is getting overwhelmingly higher than that of other technologies. Quantum communication, resistant cryptography, and augmented reality also showed a high rate of increase in interest. These results show that the expectation is high for applying trend technology in the market. The results of this study can be applied to identifying areas of interest in the quantum computer market and establishing a response system related to technology investment.