• Journal of the Korea Society of Computer and Information
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• v.27 no.2
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• pp.171-177
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• 2022

In this paper, we propose a service method that can provide insight into multi-source agricultural data, way to cluster environmental factor which supports data analysis according to time flow, and curate crop environmental factors. The proposed curation service consists of four steps: collection, preprocessing, storage, and analysis. First, in the collection step, the service system collects and organizes multi-source agricultural data by using an OpenAPI-based web crawler. Second, in the preprocessing step, the system performs data smoothing to reduce the data measurement errors. Here, we adopt the smoothing method for each type of facility in consideration of the error rate according to facility characteristics such as greenhouses and open fields. Third, in the storage step, an agricultural data integration schema and Hadoop HDFS-based storage structure are proposed for large-scale agricultural data. Finally, in the analysis step, the service system performs DTW-based time series classification in consideration of the characteristics of agricultural digital data. Through the DTW-based classification, the accuracy of prediction results is improved by reflecting the characteristics of time series data without any loss. As a future work, we plan to implement the proposed service method and apply it to the smart farm greenhouse for testing and verification.

• Journal of Digital Convergence
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• v.20 no.2
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• pp.163-174
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• 2022

Despite the great interest in the metaverse from academia and industry, research so far has been focused on a specific area, and the background of the study is in the recognition that research is necessary from the perspective of the entire metaverse ecosystem. The purpose of this study was to derive the metaverse research framework and each component to study from the perspective of the metaverse ecosystem, and to study the development stage of the metaverse ecosystem. From an academic point of view, the ecosystem components were derived through the Metaverse IDC-Platform, a framework for applying Michael Porter's diamond model to the metaverse. From a practical point of view, the four components of the metaverse ecosystem interact with each other in terms of metaverse application and development. As the basis of this study, it can be used strategically because it is possible to identify areas for reinforcement in academia and industry and provide basic data for insight by closely examining the strengths and weaknesses of each component. The contribution of research is that it has created a foundation for research that has been limited to specific areas from an ecosystem perspective, unlike before.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.35 no.4
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• pp.215-226
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• 2022

Significant efforts have been devoted to developing high-performance composite materials by emulating the structure of biological creatures with superior mechanical characteristics. Nacre has been one of the most sought-after natural structures due to its exceptional fracture toughness compared with the constituent materials. However, the effect of manipulating the nacre-like geometry on the impact performance has not been fully investigated thus far. In this study, composites of randomly manipulated nacreous geometry are numerically developed and the impact performance is analyzed. We develop an algorithm by which the planar area of platelets in the nacre-like design is randomly resized. Thereafter, the numerical models of nonuniform nacre-patterned multi-layer structures are developed and the drop-weight impact simulation is performed. The impact behaviors of the model are evaluated by using the ratio of absorbed energy, the von Mises stress distribution, and the impact force-time curve. Therefore, the effect of the geometric irregularity on the nacre-patterned design is elucidated. This insight can be efficiently utilized in establishing the optimum design of the nacre-patterned structure.

• Journal of the korean academy of Pediatric Dentistry
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• v.48 no.4
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• pp.425-436
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• 2021

The aim of this study was to provide pathological information of pediatric oral lesions by retrospectively analyzing oral biopsy results from pediatric patients at the Seoul National University Dental Hospital. Biopsy results of all oral lesions from pediatric patients, aged 0 - 16 years, were collected from the files of the Department of Oral Pathology, Seoul National University Dental Hospital from January 2000 to April 2020. The patients were divided into 3 age groups: 0 - 5, 6 - 11 and 12 - 16 years. All oral lesions were classified into three main categories: inflammatory and reactive, tumor or tumor-like and cystic lesions. Among the total of 2928 biopsy specimens, tumor or tumor-like lesions(35.66%) were the most common, followed by inflammatory and reactive lesions(34.29%) and cystic lesions(30.05%). Regardless of the categories used in this study, odontoma was the most frequently found lesion, mucocele and dentigerous cyst being the next common. This study was the first retrospective review of pediatric oral pathology in Korea, and the results from this study may assist in providing informative insight into the pediatric oral pathology for pediatric dentists.

• The Journal of the Korea Contents Association
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• v.22 no.2
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• pp.370-378
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• 2022

The purpose of this study was to investigate the factors affecting infection control practice by dental hygienist students in Jeju during clinical training amidst the COVID-19 pandemic. Online survey was conducted on 112 students and the results were statistically analyzed with frequency analysis, Student's T-test, one-way ANOVA, and regression analysis using SPSS 20.0. In the 'awareness and practice of infection control by year in college' section, 2nd year students scored significantly higher in 'cleaning and surface disinfection,' 'medical waste disposal,' and 'COVID-19 preventive measure' compared to 3rd year students. In the 'type of training institution' section, hospital setting scored significantly higher in 'cleaning and surface disinfection,' 'instrument disinfection and sterilization,' 'personal and patient protection,' and 'COVID-19 preventive measure' compared to dental clinic setting. In the 'location of institution' section, Seoul metropolitan region scored higher in 'medical waste disposal' compared to Jeju region. According to regression analysis, year in college (2nd year), type of training institution (hospital setting), location of training institution (Seoul metropolitan region), and difficulty using protective gear (no difficulty) were associated with better COVID-19 preventive measure This first study in Jeju provides an insight on the awareness and practice of infection control measures by dental hygienist students in Jeju during clinical training. Further investigation for improvement of clinical training manual is warranted.

• Clean Technology
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• v.28 no.2
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• pp.174-181
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• 2022

Biomass is a sustainable alternative resource for production of liquid fuels and organic compounds that are currently produced from fossil fuels including petroleum, natural gas, and coal. Because the use of fossil fuels can increase the production of greenhouse gases, the use of carbon-neutral biomass can contribute to the reduction of global warming. Although biological and chemical processes have been proposed to produce petroleum-replacing chemicals and fuels from biomass feedstocks, it is difficult to replace completely fossil fuels because of the high oxygen content of biomass. Production of petroleum-like fuels and chemicals from biomass requires the removal of oxygen atoms or conversion of the oxygen functionalities present in biomass derivatives, which can be achieved by catalytic hydrodeoxygenation. Hydrodeoxygenation has been used to convert raw biomass-derived materials, such as biomass pyrolysis oils and lignocellulose-derived chemicals and lipids, into deoxygenated fuels and chemicals. Multifunctional catalysts composed of noble metals and transition metals supported on high surface area metal oxides and carbons, usually selected as supports of heterogeneous catalysts, have been used as efficient hydrodeoxygenation catalysts. In this review, the catalysts proposed in the literature are surveyed and hydrodeoxygenation reaction systems using these catalysts are discussed. Based on the hydrodeoxygenation methods reported in the literature, an insight for feasible hydrodeoxygenation process development is also presented.

• Nutrition Research and Practice
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• v.16 no.5
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• pp.589-603
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• 2022

BACKGROUND/OBJECTIVES: Previous studies have reported that protein supplementation contributes to the attenuation of inflammation. Serious trauma such as burn injury usually results in the excessive release of inflammatory factors and organs dysfunction. However, a few reports continued to focus on the function of protein ingestion in regulating burn-induced inflammation and organ dysfunction. MATERIALS/METHODS: This study established the rat model of 30% total body surface area burn injury, and evaluated the function of blended protein (mixture of whey and soybean proteins). Blood routine examination, inflammatory factors, blood biochemistry, and immunohistochemical assays were employed to analyze the samples from different treatment groups. RESULTS: Our results indicated a decrease in the numbers of white blood cells, monocytes, and neutrophils in the burn injury group administered with the blended protein nutritional support (Burn+BP), as compared to the burn injury group administered normal saline supplementation (Burn+S). Expressions of the pro-inflammatory factors (tumor necrosis factor-α and interleukin-6 [IL-6]) and chemokines (macrophage chemoattractant protein-1, regulated upon activation normal T cell expressed and secreted factor, and C-C motif chemokine 11) were dramatically decreased, whereas anti-inflammatory factors (IL-4, IL-10, and IL-13) were significantly increased in the Burn+BP group. Kidney function related markers blood urea nitrogen and serum creatinine, and the liver function related markers alanine transaminase, aspartate aminotransferase, alkaline phosphatase, and lactate dehydrogenase were remarkably reduced, whereas albumin levels were elevated in the Burn+BP group as compared to levels obtained in the Burn+S group. Furthermore, inflammatory cells infiltration of the kidney and liver was also attenuated after burn injury administered with blended protein supplementation. CONCLUSIONS: In summary, nutritional support with blended proteins dramatically attenuates the burn-induced inflammatory reaction and protects organ functions. We believe this is a new insight into a potential therapeutic strategy for nutritional support of burn patients.

• KIPS Transactions on Computer and Communication Systems
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• v.11 no.8
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• pp.249-258
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• 2022

Since the advent of Bitcoin, various virtual assets have been actively traded through virtual asset services of virtual asset exchanges. Recently, security accidents have frequently occurred in virtual asset exchanges, so the government is obligated to obtain information security management system (ISMS) certification to strengthen information protection of virtual asset exchanges, and 56 additional specialized items have been established. In this paper, we compared the domain importance of ISMS and CryptoCurrency Security Standard (CCSS) which is a set of requirements for all information systems that make use of cryptocurrencies, and analyzed the results after mapping them to gain insight into the characteristics of each certification system. Improvements for 4 items of High Level were derived by classifying the priorities for improvement items into 3 stages: High, Medium, and Low. These results can provide priority for virtual asset and information system security, support method and systematic decision-making on improvement of certified items, and contribute to vitalization of virtual asset transactions by enhancing the reliability and safety of virtual asset services.

• Journal of The Korean Association of Information Education
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• v.26 no.5
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• pp.427-437
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• 2022

The purpose of this study is to examine elementary school teachers' perceptions of digital textbooks to gain insight into the development of digital textbooks. To this end, first, eight functions of the digital textbook were set, and two to six detailed functions were set for each function. Afterwards, based on this function, 372 elementary school teachers across the country were asked to ask about their perception of digital competence, their experience of using digital textbooks after COVIE-19 and their perception of digital textbooks. A simple regression analysis was used to examine the perception of digital textbooks according to the perception of digital competence and a one-way distribution analysis method was used to analyze the perception of digital textbooks according to the experience of using digital textbooks. The analysis found that elementary school teachers' confidence in their digital competence had a positive effect on all components of digital textbooks. In particular, the teachers' higher confidence in digital competence led to the increased need for 'operation and management' functions. In addition, the teachers who frequently use digital textbooks perceived a higher need for digital textbook components except for 'searching' and 'Authoring Tools Support' than teachers who do not use them. This paper shows that it is necessary to positively induce elementary school teachers' perceptions of digital competence and encourage using digital textbooks to successfully increase the usage of digital textbooks in classes.

• Journal of Service Research and Studies
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• v.12 no.2
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• pp.80-93
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• 2022

This study is a study on a methodology that can extract various factors that affect purchase and use of products/services from the consumer's point of view through previous studies, and analyze the types and tendencies of consumers according to age and gender. To this end, we quantify factors in terms of general personal propensity, consumption influence, consumption decision, etc. to check the consistency of data, and based on these studies, we conduct research to suggest and prove data analysis methodologies of consumer types that are meaningful from the perspectives of startups and SMEs. did As a result, it was confirmed through cross-validation that there is a correlation between the three main factors assumed for data analysis from the consumer's point of view, the general tendency, the general consumption tendency, and the factors influencing the consumption decision. verified. This study presented a data analysis methodology and a framework for consumer data analysis from the consumer's point of view. In the current data analysis trend, where digital infrastructure develops exponentially and seeks ways to project individual preferences, this data analysis perspective can be a valid insight.