• Journal of Industrial Convergence
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• v.21 no.1
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• pp.187-192
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• 2023

In this study, trends in ICT education were investigated by analyzing the frequency of appearance of keywords related to machine learning and using conversion of iteration correction(CONCOR) techniques. A total of 304 papers from 2018 to the present published in registered sites were searched on Google Scalar using "ICT education" as the keyword, and 60 papers pertaining to ICT education were selected based on a systematic literature review. Subsequently, keywords were extracted based on the title and summary of the paper. For word frequency and indicator data, 49 keywords with high appearance frequency were extracted by analyzing frequency, via the term frequency-inverse document frequency technique in natural language processing, and words with simultaneous appearance frequency. The relationship degree was verified by analyzing the connection structure and centrality of the connection degree between words, and a cluster composed of words with similarity was derived via CONCOR analysis. First, "education," "research," "result," "utilization," and "analysis" were analyzed as main keywords. Second, by analyzing an N-GRAM network graph with "education" as the keyword, "curriculum" and "utilization" were shown to exhibit the highest correlation level. Third, by conducting a cluster analysis with "education" as the keyword, five groups were formed: "curriculum," "programming," "student," "improvement," and "information." These results indicate that practical research necessary for ICT education can be conducted by analyzing ICT education trends and identifying trends.

• KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
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• v.29 no.2
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• pp.95-102
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• 2023

Despite the easing of social distancing, demand for non-face-to-face services continues to rise. Recently, the EU is pursuing a comprehensive plastic use reduction by expanding the scope of plastic use regulations for packaging plastics according to the New Cyclical Economy Action Plan(NCEAP). In response to this trend, the packaging industry is moving away from conventional non-degradable/petroleum-based plastics and conducting research on packaging materials using biodegradable plastics such as PLA(Poly Lactic Acid), PBAT(Poly Butylene Adipate-co-butylene Terephthalate). On the other hand, ginkgo leaves occur in large quantities in Korea and act as a cause of slip accidents and flooding. In this study, a method to utilize ginkgo biloba leaf as a new alternative biomass resource was proposed by producing lactic acid through pretreatment, enzymatic saccharification, and fermentation processes. For the efficiency of lactic acid production, a comparative analysis of lignin content from before and after browning was performed. In addition, the degree of glucan extraction was evaluated by applying a pretreatment method using three catalysts: hot water, sulfuric acid, and sodium hydroxide. It is difficult to expect high production of lactic acid with single process. Therefore, an integrated process operation using both the pretreated hydrolyzate and the residual solid enzymatic saccharification solution must necessarily be applied.

• Journal of The Korean Association For Science Education
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• v.44 no.1
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• pp.39-55
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• 2024

This study aimed to examine research trends related to Natural Language Processing (NLP) in science education by analyzing 37 domestic and international documents that utilized NLP techniques in the field of science education from 2011 to September 2023. In particular, the study systematically analyzed the content, focusing on the main application areas of NLP techniques in science education, the role of teachers when utilizing NLP techniques, and a comparison of domestic and international perspectives. The analysis results are as follows: Firstly, it was confirmed that NLP techniques are significantly utilized in formative assessment, automatic scoring, literature review and classification, and pattern extraction in science education. Utilizing NLP in formative assessment allows for real-time analysis of students' learning processes and comprehension, reducing the burden on teachers' lessons and providing accurate, effective feedback to students. In automatic scoring, it contributes to the rapid and precise evaluation of students' responses. In literature review and classification using NLP, it helps to effectively analyze the topics and trends of research related to science education and student reports. It also helps to set future research directions. Utilizing NLP techniques in pattern extraction allows for effective analysis of commonalities or patterns in students' thoughts and responses. Secondly, the introduction of NLP techniques in science education has expanded the role of teachers from mere transmitters of knowledge to leaders who support and facilitate students' learning, requiring teachers to continuously develop their expertise. Thirdly, as domestic research on NLP is focused on literature review and classification, it is necessary to create an environment conducive to the easy collection of text data to diversify NLP research in Korea. Based on these analysis results, the study discussed ways to utilize NLP techniques in science education.

• Journal of the Korea Society of Computer and Information
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• v.27 no.9
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• pp.191-203
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• 2022

In this paper, we developed a system that intelligently identifies skin image data from big data collected from social media Instagram and extracts standardized skin sample data for skin condition diagnosis and management. The system proposed in this paper consists of big data collection and analysis stage, skin image analysis stage, training data preparation stage, artificial neural network training stage, and skin image identification stage. In the big data collection and analysis stage, big data is collected from Instagram and image information for skin condition diagnosis and management is stored as an analysis result. In the skin image analysis stage, the evaluation and analysis results of the skin image are obtained using a traditional image processing technique. In the training data preparation stage, the training data were prepared by extracting the skin sample data from the skin image analysis result. And in the artificial neural network training stage, an artificial neural network AnnSampleSkin that intelligently predicts the skin image type using this training data was built up, and the model was completed through training. In the skin image identification step, skin samples are extracted from images collected from social media, and the image type prediction results of the trained artificial neural network AnnSampleSkin are integrated to intelligently identify the final skin image type. The skin image identification method proposed in this paper shows explain high skin image identification accuracy of about 92% or more, and can provide standardized skin sample image big data. The extracted skin sample set is expected to be used as standardized skin image data that is very efficient and useful for diagnosing and managing skin conditions.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.11
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• pp.670-681
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• 2016

Recently, based on Internet and mobile environments, the Fintech industry that fuses finance and IT together has been rapidly growing and Fintech services armed with simplicity and convenience have been leading the conversion of all financial services into online and mobile services. However, despite the rapid growth of the Fintech industry, few studies have classified Fintech technologies into detailed technologies, analyzed the technology development trends of major market countries, and supported technology planning. In this respect, using Fintech technological data in the form of unstructured data, the present study extracts and defines detailed Fintech technologies through the topic modeling technique. Thereafter, hot and cold topics of the derived detailed Fintech technologies are identified to determine the trend of Fintech technologies. In addition, the trends of technology development in the USA, South Korea, and China, which are major market countries for major Fintech industrial technologies, are analyzed. Finally, through the analyses of networks between detailed Fintech technologies, linkages between the technologies are examined. The trends of Fintech industrial technologies identified in the present study are expected to be effectively utilized for the establishment of policies in the area of the Fintech industry and Fintech related enterprises' establishment of technology strategies.

• THE INDUSTRY AND TECHNOLOGY OF GAS
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• v.2 no.1
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• pp.6-21
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• 1998

에너지는 인류문명발달의 원동력이며 현대 산업사회에서는 모든 산업활동과 국민경제에 필수적인 요소이므로 세계 거의 모든 나라들은 에너지의 안정확보를 국가정책의 제 1로 삼고 있다. 세계적으로 볼 때 시대의 변천에 따라 에너지의 주역도 바뀌어 산업혁명 후 제2차 세계 대전까지는 석탄이 주역이었고, 2차대전 후 1970년대 석유위기 전까지는 석유가 단연 주역이었다가 석유위기 후 1980년대는 천연가스와 원자력이 상당부문 석유를 대체하고 있으며, 21세기에는 가스이용기술의 개발에 따라 편리성과 경제성에서 가스의 우월성으로 타에너지를 대체하고, 특히 지구온난화방지 노력과 관련하여 전세계적인 $CO_2$ 감축 목표에 따라 청정연료로서 타에너지 보다 사용이 크게 늘어 2010년까지는 1995년의 $50\%$가 증가하여 21세기 연료의 주역이 될 것으로 전망된다. 우리나라는 에너지의 $98\%$를 외국에서 도입하는 상황에서 석유의존도가 $60\%$를 넘고 있으며, 원자력발전소의 확장에 어려움이 많고 세계기후변화협약을 비준한 국가로서 지구온난화방지를 위한 의무를 지게 될 것이므로, 에너지 공급원의 다원화를 통한 안정확보와 청정에너지 이용의 확대 및 에너지 산업에 대한 규제완화 등으로 경제성에 입각한 시장경쟁에서 가스는 우위를 확보함으로써 1차 에너지중 가스의 비중이 매우 높아질 것으로 전망되고있다. 따라서 가스산업은 우리나라 에너지산업중 가장 크게 발전하고 또 다른 에너지가 여러면에서 제약을 받게 될 때 이러한 제약을 극복하는 대체에너지로서 역할이 크게 전망되며, 특히 발전, 열병합, 냉방, 자동차 연료부문에서의 사용이 크게 늘어날 것으로 예상되어 이러한 가스이용의 확대에 대비하여 가스자원의 개발, 국내 공급설비의 확충, 연구개발등에 대한 투자와 규제완화에 의한 시장경쟁에 대한 대비가 필요하다.계산모델 및 원자력병원에서 보유하고 있는 방사선 치료계획장치인 CAP-PLAN의 선량계산모델의 계산 결과와 비교하여, 흡수선량은 ${\pm}10\%$ 이내에서 거리로는 0.4mm 이내에서 대부분 일치하였다. 최대 오차는 각각 $11.3\%$ 및 0.8mm로 나타났다. 이상의 결과들로부터 새로 개발한 금으로 된 기구와 Ir-192 seed를 이용한 근접 방사선 치료법으로 안구의 악성종양에 대한 치료를 보다 효과적으로 시행할 수 있을 것으로 기대된다. 구성원을 간소 목적을 위하여 사용할 수 있어야 하겠다 마지막으로 이들 내의 위험 집단을 우선적으로 파악. 접근하여야 할 것이다. 위험 집단으로는 경제적 문제로 적절한 의료 이용을 할 수 없는 저소득층, 문화적으로 열등한 위치에 있는 여성층과 초기 이민 적응에 가장 문제를 일으킬 소지가 있는 노년층을 들 수 있겠다. 이 연구는 몇 가지 제한점을 가진다. 첫째. 연구 대상자 선정이 어려워서 자원자를 대상으로 연구가 행해졌다. 둘째. 적은 수의 연구 대상자를 대상으로 연구가 행해졌다. 셋째. 연구기간이 짧았던 까닭에 좀더 상세한 사례 연구가 이루어질 수 없었다 좀 더 신뢰할 수 있는 표본 추출 방법을 통하여 선정된, 많은 연구 대상자를 가지고, 심도 있는 연구가 추후 반복적으로 이루어져야 할 것이다.더욱 더 발전을 거듭하고 있으며, 외식은 여행과 여가 활동의 필수적인 요소로써 그 역할을 일조하고 있다. 이와 같은 여가시간의 증가는 독신자들에게는 좀더 많은 여유시간을 가족을 이루고 있는 가족구성원들에게는 가족과의 유대를 강화하는 휴식과 오락의 소비 트렌드를 창출시켰다. 이와 더불어 외식은 식사를 해결하기 위한 단순한 수단에서 벗어나 동기와 동반자에 따라 달라지는 행동 패턴을 나타내고 있으며, 연령과 목적에 따라 세분화되는 분명한 선호도를 나타낸다. 지난 10여 년간 외국으로부터 수입된 다양한

• The Journal of the Korea Contents Association
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• v.21 no.10
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• pp.457-475
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• 2021

As Korean society enters an aged society, there is an increasing situation in which various generations coexist in the workplace. This study aimed to analyze corporate reverse mentoring in light of generational exchange. Through the case study methods using literature research and interviews, we categorized the objectives of starting reverse mentoring programs in domestic and foreign companies, and analyzed the possibility of generational exchange with the cases of company A in the US and B in Korea extracted by purposive sampling. Based on social exchange theory, organizational age theory, and generational solidarity theory, the analysis framework presented three propositions: 1) mutual benefit 2) balanced contribution, and 3) sustainability. As a result of the case analyses, there were three main objectives of introducing reverse mentoring: learning IT/social media, promoting corporate diversity, and understanding new trends in the younger generation. In the case of A company in the US and B company in Korea, there was a similarity in mutual benefit and balanced contribution. However, regarding sustainability, there was room for improvement in company B in Korea unlike company A in the US. We expect that reverse mentoring will provide important criteria for success in terms of generational exchange within organizations where various generations coexist in the future.

• Journal of the Korean Applied Science and Technology
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• v.38 no.1
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• pp.107-117
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• 2021

The purpose of this study is to provide basic data for the development of UV protection products using natural materials. The research method is investigation and analyzation of the current status of the domestic and foreign industries, natural material research trends, and patent status of skin care-related sunscreen. As the result of the study, the U.S. market for sunscreen is the largest one, accounting for about 21% of the world, and the Chinese market is rapidly growing. The top four major types of functional cosmetics in Korea are complex functional products, followed by wrinkle improvement, sunscreen and whitening, and both the global and domestic markets continue to grow continuously. Over the past decade, research trends in natural sunscreen materials have shown that Scutellaria baicalensis, Humulus lupulus L., licorice, Finger root, Green tea, lespedeza cuneata extracts are effective, and in addition, they are also effective in photo-aging, antioxidant, anti-inflammatory, antibacterial, whitening, and wrinkle improvement. The patent registration status is on the rise and the ingredients were secured from plants and seaweeds. As the conclusion of this research, It is expected that natural UV protection material will be able to be used as multi-functional cosmetics material by developing safe and proven natural materials in line with future global trends.

• Journal of Digital Convergence
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• v.20 no.2
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• pp.299-309
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• 2022

YouTube videos secure the latest trends in the field and provide viewers' preferences and non-preferences. This study analyzes the discussion of death in recent YouTube videos and explores the relationship between life, well-dying, and well-aging. The purpose of this study is to contribute to the establishment of a healthy life for Koreans by exploring relevance. The survey period and target are 13 videos uploaded on YouTube from 2019 to 2021. As a result of the investigation, it was possible to encompass 25 speakers who were discussing death centered on doctors. Video speakers in charge of various areas conducted various discussions on death from the perspective of experts. The key points are the true value of life, death that you don't need to fear, the importance of hope, the naturalness of death, etc. 11 expert perspectives are measured into 4 types based on 4 criteria: life, death, well-aging, and well-dying. Despite the limitations of studying 13 extracted at a specific time, this study revealed that YouTube videos are a place for free communication. It can contribute in part to maintaining and improving the health of our lives in the future and researching convergence.

• Journal of Korean Home Economics Education Association
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• v.35 no.1
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• pp.53-72
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• 2023

This study aimed to develop educational material on the proper use of plant-based milk alternatives in the form of a card news, based on a focus group interview(FGI) with adult consumers. The FGI participants were individuals who had directly purchased cow's milk, soy milk, or other plant-based milk alternatives within the past three months and consumed them at least once a month. The study consisted of 17 adults between the ages of 19 and 63 years who met these criteria(9 males and 8 females). It was identified what participants were curious about, interested in, and needed information regarding the proper use of plant-based milk alternatives through FGI. A 10-page card news was developed that was highly usable, taking into account the FGI results and the latest literature. In conclusion, this study developed a card news aimed at promoting the proper use of plant-based milk alternatives, which can be easily disseminated online in line with the trends in food consumption and digitization. The results of this study suggest that the continuous development and distribution of educational materials that reflect food consumption trends and maximize their usability should be provided for dietary life education, such as school subjects or out-of-school programs.