• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.15-19
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• 2021

In May 2021, a major conflict broke out between Israel and Palestine. Fourteen days after the conflict began, a ceasefire between the two sides was signed with the victory of Defense Forces (IDF). One of the reasons why IDF was able to lead the dispute to victory with the minimum damage in the shortest period of time is that the female workforce in IDF turned on. also, there are currently 33% of the female workforce in IDF, and various tasks are carried out in the field by convergence with male workforce. So, in this study, the examples experienced by IDF will provide clues to overcoming the future challenge of Korea's lack of military service resources.

• The Journal of the Korea Contents Association
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• v.21 no.11
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• pp.64-76
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• 2021

Culture technology (CT) becomes important in the recent environment where digital technology drives content-based innovations. However, technological trends of CT have not been systematically discussed. Especially, the trends of CT should be analyzed from the national perspective, because CT has grown with the help of government-driven innovation. Therefore, this paper aims to analyze CT trends focusing on national research projects. We collected data on CT from the national science and technology information service (NTIS) database, analyzed the keyword co-occurrence network, and identified the patterns of technological innovation using a clustering analysis. As a result, we found that CT has contributed to the digital content and cultural media, and has been actively developed with the help of machine learning technique. Especially, due to the rise of Covid-19, the non-face-to-face online content is rapidly increasing. This study provides important clues for understanding, analyzing CT trends.

• Journal of Internet of Things and Convergence
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• v.8 no.4
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• pp.57-63
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• 2022

The purpose of this study is to provide basic data on policy development using big data analysis and machine learning algorithms as part of preparing measures to prevent child abuse. In order to analyze big data for developing machine learning algorithms to prevent child abuse, frequency analysis, related word analysis, and emotional analysis were performed after defining academic databases and social network service data as big data. related words, and emotional analysis were conducted. As a result of the study, a preventive child abuse algorithm can be developed by preparing a data collection and sharing network system to prevent child abuse from the perspective of children affected by child abuse, perpetrators, and government authorities. Although it will be possible by institutionalizing infant self-esteem, depression, and anxiety tests with clues that depression and anxiety appear due to a decrease in self-concept in the characteristics of children affected by child abuse. We suggest that continuous progress of big data collection and analysis and algorithm development research to prevent child abuse, and expects that effective policies to prevent child abuse will be realized to eradicate child abuse crimes.

• Health Policy and Management
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• v.3 no.1
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• pp.1-24
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• 1993

This study is designed to find clues to make a plan for efficient hospital bed utilization. Author has tried to estimate the level of appropriateness and to find out factors affecting intra-hospital variation of inappropriate bed utilization using modified Appropriateness Evaluation Protocol of which criteria are based on service intensity and patients' conditions. Systematic random sampling was done from the population of inpatients during one month in on university hospital. Data were collected by concurrent and retrospective medical record review and analysed by multiple logistic regression. In medical services, 83.5% of admission reveals appropriate and the level of inappropriate admission shows significant differences by patients' residence, type of department admitted to, admission 개\ulcorner, and length of stay. In surgical services, 97.3% and 34.7% are appropriate in location and timing of surgery respectively. Inappropriate timing of surgery differs significantly depending on patients' age, type of department admitted to, admission route, and length of stay. Sixty two percent of hospital days shows appropriate and the level of inappropriateness show marked differences by patients'age, type of services, admission routes, part of the month, part of the stay, and length of stay. Inappropriate hospital days are due to inappropriate level of care, premature admission, improper scheduling of diagnostic or therapeutic procedures, and problems in scheduling surgery in sequence. In conclusion, substantially high proportion of inappropriate hospital bed utilization was confirmed. To reduce it, it is necessary to develop alternative services with which can replace inpatient services, and to introduce utilization management system which may include internal peer review.

• Design Convergence Study
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• v.16 no.6
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• pp.169-184
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• 2017

There is a lot of needs that are not expressed as much as the expressed needs in familiar products and services that are used in daily life such as a smartphone. Finding the 'Inconveniences in familiar use' make it possible to create opportunities for value expanding in the existing products and service area. There are a lot of related works, which have studied the definition of hidden needs and the methods to find it. But, they are making it difficult to address the hidden needs in the cases of familiar use due to focus on the new product or service developing typically. In this study, we try to redefine the hidden needs in the daily familiarity and approach it in the new way to find out. Because of the users' unability to express what they want and the complexity of needs which can not be explained clearly, we can not approach it as the quantitative issue. For this reason, the basic data type selected as the user behavior data excluding all description is the screen-shot of the smartphone. We try to apply the integrated rules and patterns to the individual data using the qualitative coding techniques to overcome the limitations of qualitative analysis based on unstructured data. From this process, We can not only extract meaningful clues which can make to understand the hidden needs but also identify the possibility as a way to discover hidden needs through the review of relevance to actual market trends. The process of finding hidden needs is not easy to systemize in itself, but we expect the possibility to be conducted a reference frame for finding hidden needs of other further studies.

• Journal of Wetlands Research
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• v.24 no.4
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• pp.331-344
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• 2022

This study analyzed the characteristics of the soil and hydrological environment of abandoned paddy wetlands examined the changes in land cover type in the ecological affect area, analyzed the environmental factors of abandoned paddy wetlands, and examined the changes in land cover type in the ecological impact area. The ecological environment characteristics of the reference abandoned paddy wetlands were investigated through literature research, environmental spatial information service, and preliminary exploration of the abandoned paddy wetlands, and the basic data for the restoration of abandoned paddy wetlands ware provided by examining the changes in land cover type in the ecological impact area for 40 years. Through this study, it will be possible to manage the rapidly increasing number of abandoned farmland to be converted into wetlands so that it can perform functions equivalent to or greater than that of natural wetlands. In particular, as we checked the clues that abandoned paddy wetlands could spread to surrounding ecological influences through land cover changes, the study sites are highly likely to be reference wetlands, and if the topography, soil, water circulation system, and carbon reduction performance are analyzed carefully, it will be possible to standardize the development process. In addition, through the change in land cover, clues were confirmed that the abandoned paddy wetlands could spread to the surrounding ecological affect areas. The land cover type in the ecological impact area, forests was mainly distributed, but generally decreased rapidly in the last 10-20 years, and forests were changing from coniferous forests to broad-leaved forests, mixed forests, or grassland. It has not yet been fully called to the wetland, and it is found that it has maintained the form of barren or grassland, and as can be seen in the case of natural wetlands after more than 30 years after abandoned, it is expected that the transition will gradually proceed to wetlands that are structurally and functionally similar to natural wetlands.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.777-787
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• 2020

With the development of the Internet and the spread of mobile devices, the online market is growing rapidly. As the number of customers using online shopping malls explodes, research is being conducted on the analysis of usage behavior from customer data, personalized product recommendations, and service development. Thus, this paper seeks to analyze the overall process of online shopping malls through process mining, and to identify the factors that influence users' purchases. The data used are from a large online shopping mall, and R was the analysis tool. The results show that customer activity was most prominent in categories with event elements, such as unconventional discounts and monthly giveaway events. On the other hand, searches, logins, and campaign activity were found to be less relevant than their importance. Those are very important, because they can provide clues to a customer's information and needs. Therefore, it is necessary to refine the recommendations from related search words, and to manage activity, such as coupons provided when customers log in. In addition to the previous discussion, this paper proposes various business strategies to enhance the competitiveness of online shopping malls and to increase profits.

• Journal of the Korean association of regional geographers
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• v.10 no.1
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• pp.67-82
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• 2004

There is a general agreement that the global social-economic system is undergoing fundamental changes, which can be explained in terms of the transformation of production system from the Fordism to Post-Fordism since the 1980s. These fundamental changes have resulted in the 'new urbanization' process in the most of large cities in the developed countries. The aim of this paper is to identify the 'new urbanization' process in a large city in Korea that is, Daejon. For the propose, this paper tries to examine and conceptualize empirically the changes of economic, political, social-cultural, and spatial aspects of Daejon metropolis in the respect of 'new urbanization'. The major findings of this essay are summarized as follows. First of all, Daejon economy has experienced new changes, that is the development of service economy and high tech industry. But the old industry still remain important in the urban economy. Secondly, in the political aspect, new civil movements flourish in the city, while the political power of Jaminlyeon, a pro-conservative and narrow-regionalism party, once dominated this region, has decreased its influence. Thirdly. the original CBD of Daejon has been declined while new (sub-)CBBs have emerging in Daejon spatial structures. In conclusion, we can find some clues of the new urbanization process in Daejon, but this process is still quite slow and somewhat different from those of large cities of the developed countries.

• Journal of Distribution Science
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• v.9 no.3
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• pp.55-64
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• 2011

This study is important in its focus to find key clues in the marketing strategy, consumer behavior, and communication processes that define the infantile obesity market. The study, the first of its kind, surveyed a target audience, purchasing group, and housewives in their quest to determine purchasing decisions and effective branding strategy planning for the infantile obesity market. Another key component of the study was to focus on the key direct and/or indirect distribution channels for the subject market. Recently, obesity has emerged as a major social concern; some studies show that the onslaught of an adverse eating culture in Korea emanates from the prevalence of fast-food dining establishments. Obesity among children leads to adult obesity, especially if the young people's parents are overweight; notably, if either one or both of the parents are obese, the percentage of young people eventually being obese is approximately 80 to 85 percent. Because obesity is the cause of many major health concerns later in life, the struggle for a healthy life is considerably adversely affected by parents' consumer behavior. Infantile obesity, resulting in adult obesity, is also an important national economic and social issue. The sizable direct and indirect economic costs, as well as the tremendous social costs of obesity, cannot be overstated. Effective food branding and advertising centered on food preferences and dietary behaviors, especially to children, creates an effective marketing effort that, ultimately, leads to positive results. Thus, the purpose of this study is to demonstrate that the treatment of childhood obesity in Korea, through the activation of a brand and retail market, can effectively solve social and economic problems that result from infantile and childhood obesity. In this study, obesity markets and distribution channels in the purchase decision-making factors determining factor based on it effective inspection and branding strategies and brand marketing communications strategy proposed measures contribute to the obesity drug market and further enable the childhood obesity problem is intended to assist in solving.

• Genes and Genomics
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• v.40 no.11
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• pp.1181-1197
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• 2018

Tropical plant rubber tree (Hevea brasiliensis) is the sole source of commercial natural rubber and low-temperature stress is the most important limiting factor for its cultivation. To characterize the gene expression profiles of H. brasiliensis under the cold stress and discover the key cold stress-induced genes. Three cDNA libraries, CT (control), LT2 (cold treatment at $4^{\circ}C$ for 2 h) and LT24 (cold treatment at $4^{\circ}C$ for 24 h) were constructed for RNA sequencing (RNA-Seq) and gene expression profiling. Quantitative real time PCR (qRT-PCR) was conducted to validate the RNA-Seq and gene differentially expression results. A total of 1457 and 2328 differentially expressed genes (DEGs) in LT2 and LT24 compared with CT were respectively detected. Most significantly enriched KEGG pathways included flavonoid biosynthesis, phenylpropanoid biosynthesis, plant hormone signal transduction, cutin, suberine and wax biosynthesis, Pentose and glucuronate interconversions, phenylalanine metabolism and starch and sucrose metabolism. A total of 239 transcription factors (TFs) were differentially expressed following 2 h or/and 24 h of cold treatment. Cold-response transcription factor families included ARR-B, B3, BES1, bHLH, C2H, CO-like, Dof, ERF, FAR1, G2-like, GRAS, GRF, HD-ZIP, HSF, LBD, MIKC-MADS, M-type MADS, MYB, MYB-related, NAC, RAV, SRS, TALE, TCP, Trihelix, WOX, WRKY, YABBY and ZF-HD. The genome-wide transcriptional response of rubber tree to the cold treatments were determined and a large number of DEGs were characterized including 239 transcription factors, providing important clues for further elucidation of the mechanisms of cold stress responses in rubber tree.