• Proceedings of the Korea Contents Association Conference
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• 2008.05a
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• pp.121-125
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• 2008

As the ability and technology develops for mobile devices, it now is possible to play audio files that are downloaded from the internet on the mobile devices. The audio and video files that are provided through the internet became 'podcast,' which has an auto-update service system. The major broadcasts and universities in Europe and America are using podcasts as one of their major service. Therefore large amount of Knowledge and Lecture podcasts are actively being provided. In this paper, we will analyze the Knowledge and Lecture podcasts, and suggest improving solutions.

• Journal of Digital Convergence
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• v.18 no.12
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• pp.29-36
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• 2020

The background of this study is that machine learning administrative services are recently attracting attention as a major policy tool for non-face-to-face administrative services in the post-corona era. This study investigated the types of work expected to be effective when introducing machine learning administrative services for Seoul Metropolitan Government officials who are piloting machine learning administrative services. The research method is a machine that can be introduced by organizational unit by distributing and collecting questionnaires for Seoul administrative organizations that have performed machine learning-based administrative services for one month in July 2020 targeting Seoul public officials using machine learning-based administrative services. By analyzing the learning administration service and application service, the business characteristics of each machine learning administration service type such as supervised learning work type, unsupervised learning work type, and reinforced learning work type were analyzed. As a result of the research analysis, it was found that there were significant differences in the characteristics of administrative tasks by supervised and unsupervised learning areas. In particular, it was found that the reinforcement learning domain contains the most appropriate business characteristics for machine learning administrative services. Implications were drawn. The results of this study can be provided as a reference material to practitioners who want to introduce machine learning administration services, and can be used as basic data for research to researchers who want to study machine learning administration services in the future.

• Journal of Korean Foot and Ankle Society
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• v.9 no.1
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• pp.69-73
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• 2005

Purpose: The purpose of our report was to evaluate the result of operative treatment of hallux valgus in old age patients. Materials and Methods: We studied about the clinical & radiologic results of the 31 patients over 55 years old, who had operative treatment of hallux valgus. Clinical evaluation, such as pain, activity limitation, footwear requirement, 1st metatarsophalangeal joint motion, and callosity, was done using AOFAS scale and preoperative and postoperative radiologic parameters, such as hallux valgus angle, intermetatarsal angle, tibial sesamoid position, 1st metatarsal shortening, were evaluated by conventional methods. Results: Objectively, according to AOFAS, the score improved from average of 57.8 to 71.5 postoperatively. The range of motion of first metatarsophalangeal joint was decreased from average of 60.7 to 56.8 degrees. Radiologically, the hallux valgus angle improved from average of 35 to 6.5 degrees and the first intermetatarsal angle improved from average of 14.2 to 4.4 degrees. The position of sesamoid was collected from an average of grade 3.6 to grade 2.2. Conclusion: The combination of proximal metatarsal osteotomy, distal soft tissue procedure and Akin osteotomy may yield rather satisfactory clinacal result in severe elderly hallux valgus patients with massive degenerative change and poor soft tissue condition.

• Journal of the Korean Society of Food Science and Nutrition
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• v.15 no.2
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• pp.158-164
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• 1986

Polyphenol oxidase in apple (Golden Delicious) was extracted, partially purified and its properties were found as follows; Polyphenol oxidase showed optimum pH for activity at 6.5 and optimum temperature at $30^{\circ}C$ and high affinity to o-diphenol compounds. Cysteine, ascorbic acid and sodium metabisulfite appeared to be most effective inhibitors. EDTA showed a slight inhibition. During the enzyme was kept in test tube at $4^{\circ}C\;and\;20^{\circ}C$ for a week, polyphenol oxidase activity decreased sharply during the first four days at $20^{\circ}C$, then decreased slowly as the storage was prolonged. At $4^{\circ}C$, the polyphenol oxidase activity appeared to be relatively stable during the first two days before activity began to decline sharply. Polyacrylamide disc gel electrophoresis indicated four bands with polyphenol oxidase activity. Three bands and one band of the active bands were observed after heating for 1hr at $60^{\circ}C\;and\;70^{\circ}C$ respectively. The enzyme activity was observed 40% after treatment at $60^{\circ}C$ and 5% after treatment at $70^{\circ}C$. Therefore, no difference in the thermal stability was observed between active bands and the enzyme activity.

• Journal of Digital Convergence
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• v.19 no.12
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• pp.531-539
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• 2021

Given the rapid development of information and communication technology (ICT) and the deepening of the information gap phenomenon in the context of the COVID-19 pandemic, researchers and practitioners need to understand the changing perceptions of new phenomena such as COVID-19 information gap on the existing information-vulnerable population. In this study, an empirical analysis was performed with the digital information gap survey data in 2020 to understand the potential impact of COVID-19 on the information gap according to the information-vulnerable class. This study is to verify the effect of information gap, marginalized groups, gender, and major factors of information services (contents, social relations, life services, information production, networking, social participation, non-face-to-face services) on the change in perception of digital information technology after Corona. Hierarchical regression analysis was performed. As a result of the analysis, it was found that the higher the content, social relationship, life service, networking, and digital non-face-to-face service, the higher the change in perception of digital information technology after Corona. Therefore, in light of the evolving phenomenon of COVID-19, it is considered that the government needs to provide education and training to strengthen the capabilities of the information-vulnerable class in order to resolve the digital information gap.

• Journal of Korean Society of Forest Science
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• v.111 no.1
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• pp.100-107
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• 2022

Quercus mongolica is an important deciduous tree species in the Republic of Korea; it covers most of the total natural deciduous forest area in the country. In this study, the site characteristics and stand structure of Q. mongolica forests were investigated at sites where Q. mongolica occupied >50% of the total basal area during the 7th National Forest Inventory period (2016-2020). The total number of circular sample plots (400 m²) of Q. mongolica forests was 1,421. These forests were mainly dominant at >800 m above sea level (a.s.l). However, they were also distributed on north-facing slopes at <600 m a.s.l. and gradually on southern slopes with ascending altitudes. Quercus mongolica forests were distributed in silt loam, loam, or sandy loam soils with relatively high fertility. Dominant species distributed with Q. mongolica included Pinus densiflora, Quercus variabilis, Acer pseudosieboldianum, Fraxinus rhynchophylla, and Quercus serrata. Pinus densiflora and Q. variabilis grew in large DBH classes, Q. serrata grew in middle DBH classes, and A. pseudosieboldianum and F. rhynchophylla grew in small DBH classes. The dominant species distributed at the lower layer of Q. mongolica forests were Sasa borealis, Lindera obtusiloba, Rhododendron mucronulatum, Rhododendron schlippenbachii, Q. mongolica, and Fraxinus sieboldiana.