• The Journal of Internal Korean Medicine
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• v.40 no.5
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• pp.752-759
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• 2019

Objective: The purpose of this case study was to report the effect of Korean medicine treatment on a patient diagnosed with a nasal polyp. Methods: A 62-year-old female patient with a nasal polyp visited the clinic sixteen times from September 11th, 2018 to December 18th, 2018. The patient was treated with Eunhwayeongyo-tang, Haeyeol-tang, Hongsamkyungok-go extract, and acupuncture during the treatment period. We evaluated the improvement of symptoms by nasoendoscopy. Results: After the Korean medicine treatment, the nasal polyp was completely eradicated. Hyperemia of the nasal mucous membrane and rhinorrhea were also relieved. Conclusion: The study findings suggested that Korean medicine treatment (Eunhwayeongyo-tang, Haeyeol-tang, and Hongsamkyungok-go extract, and acupuncture) might be effective for treatment of patients diagnosed with nasal polyps.

• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.5
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• pp.959-968
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• 2019

In the agricultural industry, wireless sensor network technology has being applied by utilizing various sensors and embedded systems. In particular, a lot of researches are being conducted to diagnose diseases of crops early by using sensor network. There are some difficulties on traditional research how to diagnose crop diseases is not practical for agriculture. This paper proposes the algorithm which enables to investigate and analyze the crop leaf image taken by image camera and detect the infected area within the image. We applied the enhanced k-means clustering method to the images captured at horticulture facility and categorized the areas in the image. Then we used the edge detection and edge tracking scheme to decide whether the extracted areas are located in inside of leaf or not. The performance was evaluated using the images capturing tomato leaves. The results of performance evaluation shows that the proposed algorithm outperforms the traditional algorithms in terms of classification capability.

• Journal of the Korean Society for information Management
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• v.37 no.4
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• pp.27-60
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• 2020

Sejong City Library information services and programs proposed in this study are proposed by combining cases of local representative libraries and overseas libraries. As a feature of the proposal, first, various information services that can be provided by the Sejong City Library are proposed by area, by user, by data type, by media, by partner institution, etc. Second, by reinforcing user programs for each life cycle, various reading programs by age and interest, such as reading discussion, reading experience, and reading events, are provided. Reinforce user-based programs that reflect the characteristics of Sejong City's population, such as adult, child, and family programs. Third, secure and utilize maker space space. Fourth, the reading program developed by the Sejong City Library is promoted and shared in cooperation with local libraries. Fifth, induce participation of local residents in Sejong City, volunteer activities and talent donation. Sixth, propose library information services using library websites and social media, and develop channels for mutual cooperation with users.

• Journal of Korea Society of Industrial Information Systems
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• v.25 no.6
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• pp.15-23
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• 2020

While research activities in the agricultural field for climate change are being actively carried out, smart agriculture using information and communication technology has become a new trend in line with the Fourth Industrial Revolution. Accordingly, research is being conducted to identify and respond to signs of abnormal growth in advance by monitoring the stress of crops in various outdoor environments and soil conditions. There are also attempts to analyze data collected in real time through various sensors using artificial intelligence techniques or big data technologies. In this paper, we propose a big data model that is effective in analyzing the growth environment informations and biometric information of crops by using the existing relational database for big data analysis. The performance of the model was measured by the response time to a query according to the amount of data. As a result, it was confirmed that there is a maximum time reduction effect of 23.8%.

• The Journal of Internal Korean Medicine
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• v.41 no.6
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• pp.1172-1179
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• 2020

Introduction: In this case report, we addressed the effects of a Korean medicine treatment on recurrent pyelonephritis in a female patient with a duplicated collecting system. Case report: A 22-year-old female with acute pyelonephritis was treated with Korean medicine, including herbal medication, Insampaedok-san plus Oryeong-san, and with antibiotic therapy. We evaluated the improvements in her symptoms by measuring C-reactive protein, WBC count, body temperature, and a numeric rating scale for nausea. The symptoms of fever and nausea improved after two days of hospitalization. From the 4th day of taking the herbal medicine, the antibiotic IV infusion was changed to oral agents. Conclusions: This clinical case study suggests that modified Insampaedok-san might have shortened the duration of intravenous antibiotic infusion and hospitalization for recurrent pyelonephritis in a female patient with a bifid ureter.

• Research in Plant Disease
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• v.26 no.4
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• pp.202-209
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• 2020

Organic farming is necessary to sustainable agriculture, preserve biodiversity and continued growth the sector in agriculture. In organic farming, reduced usage of chemical agents that adversely affect human health and environment, employing amino acids and oil cake fertilizer, plant extracts, and microbial agents are used to provide safe agricultural products to consumers. To investigation microbiome structure, we proceeded on the pepper plant with difference fertilizers and treatments in organic agriculture for three years. The microbial communities were analyzed by the next generation sequencing approach. Difference soil microbiota communities were discovered base on organic fertilizer agents. Occurrences of virus and anthracnose diseases had a low incidence in conventional farming, whereas bacteria wilt disease had a low incidence in microbial agents treated plots. Microbe agents, which applied in soil, were detected in the microbial community and the funding suggested the applied microbes successfully colonized in the organic farming environment.

• Applied Chemistry for Engineering
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• v.22 no.4
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• pp.348-352
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• 2011

In this research, we have synthesized new pendant-type polyurethane polymers by introducing various chromophores with stilbene derivatives in the side-chain of the polymer backbone. The Stilbene monomers, N,N-bis(2-hydroxyethyl) amino-4'-cyanostilbene, N,N-bis(2-hydroxyethyl)amino-4'-methoxy stilbene, N,N-bis(2-hydroxyethyl)amino-4'-acetylstilbene, and N,N-bis(2-hydroxyethyl) amino stilbene, were synthesized by Wittig reaction. Another stilbene monomer, N,N-bis(2-hydroxyethyl)amino-4'-nitrostilbene, was synthesized by Knoevenagel condensation. By the measurement of UV-Vis absorption and Photoluminescence (PL) spectrum, we found that introduction of the electron-withdrawing group as a substituent shifts both UV-Vis and PL spectra to longer wavelength, and the introduction of the electron-donating group results in blue-shift of the spectrum. In case of polymer with $NO_2$ group as a substituent, PL is quenched.

• Journal of Korean Library and Information Science Society
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• v.52 no.1
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• pp.179-202
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• 2021

This study was started on the premise that it was necessary to analyze the users and their needs of the national bibliography in order to develop a new national bibliographic service strategy. Based on this premise, the main purpose of this study is to analyze the users' situation and needs on the Korean national bibliography, and to establish a new service strategy that reflects the user's perspective. In addition, it has a secondary purpose to find the basis for justifying the value and persistence of the national bibliography from user. To this end, first, identified the main user groups of national bibliography through literature and case studies. The data were collected from a interview with 51 people from 4 groups (librarian, researcher, publishing distributor, end user) that are expected to use national bibliography. As a result of the interview, it was possible to confirm very low awareness and utilization of the national bibliography. In addition, the interview results revealed that there is a need for improvement in terms of the method of operating the national bibliography, the content to be provided, and service.

• Journal of Information Technology Services
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• v.20 no.1
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• pp.131-143
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• 2021

Commercial transactions, one of the pillars of the capitalist economy, are occurring countless times every day, especially small and medium-sized businesses. However, small and medium-sized enterprises are bound to be the legal underdogs in contracts for commercial transactions and do not receive legal support for contracts for fair and legitimate commercial transactions. When subcontracting contracts are concluded among small and medium-sized enterprises, 58.2% of them do not apply standard contracts and sign contracts that have not undergone legal review. In order to support small and medium-sized enterprises' fair and legitimate contracts, small and medium-sized enterprises can be protected from legal threats if they can reduce the risk of signing contracts by analyzing various risks in the contract and analyzing and informing them of toxic clauses and omitted contracts in advance. We propose a risk prediction model for the machine reading-based legal contract to minimize legal damage to small and medium-sized business owners in the legal blind spots. We have established our own set of legal questions and answers based on the legal data disclosed for the purpose of building a model specialized in legal contracts. Quantitative verification was carried out through indicators such as EM and F1 Score by applying pine tuning and hostile learning to pre-learned machine reading models. The highest F1 score was 87.93, with an EM value of 72.41.

• The Mathematical Education
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• v.60 no.3
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• pp.321-340
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• 2021

As many changes in the future society represented by the age of artificial intelligence(AI) are expected to come, efforts are being made to draw the shape of the future education and various research methods are being employed to support the attempts. While many research studies use methods for deriving generalized results such as expert survey and trend analysis in along with a review of literature, there are attempts to apply the scenario methodology to explore ideas and information needed within a changing context. A scenario method, one of the experiential learning strategies, aims to seek various and alternative approaches by establishing a plan from the present conditions considering future changes. In this study, in-service teachers' perceptions and expectations of the interactivity between human and AI teachers were visualized by applying the role-play presentation technique that grafted the concept of role-play game to the scenario method. In addition, the mandal-art method was introduced to support in conducting productive discussion during the teachers' collaboration. This method appeared to help to depict teachers' perceptions of AI teachers in the detailed and concrete form, which may flow in the abstract otherwise. Through analyses of the teachers' role-play presentations with the implementation of the madal-art method it was suggested that most teachers would want to collaborate with an AI teacher for improved instruction and individualized student learning while they would take the instructional authority over the AI teacher in the classroom.