• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.690-692
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• 2022

기존의 질병 관련 연구들은 대부분 유의미하게 변화되는 유전자들을 찾아내고(Differentially Expressed Genes, DEGs), 이들이 연관된 생물학적 패스웨이(biological pathway)를 찾아내는 방향으로 이루어졌다. 더불어 miRNA(microRNA)가 많은 mRNA 의 발현을 조절하며, 실제 면역, 대사 및 세포 사멸을 포함한 여러 필수 생리학적 및 질병에 매우 중요한 역할을 한다고 밝혀지며, 바이오 마커로써의 miRNA 를 찾아내고자 하는 연구가 활발히 진행되기 시작하였다. 하지만 mRNA 나 miRNA 의 독립적인 연구만으로는 명확한 질병과의 연관성이나 기능을 이해하기에는 어려움이 있다. 따라서 본 연구에서는 질병 상태에서 유의미하게 변화되는 miRNA 와 이러한 miRNA 에 의해 조절되는 mRNA 를 함께 고려하여 분석함으로써, 실제 질병의 발병 원인이 되는 생물학적 패스웨이나 메커니즘을 밝히고자 하였다. 또한, miRNA 와 mRNA 의 연관성을 찾기 위해, PPI(protein-protein interaction) 네트워크에 기반을 둔 RWR(Random Walk with Restart Algorithm)를 적용하여, 직접적 연관성뿐 아니라, 유전자 간의 숨겨진 간접적인 패스웨이를 고려하여 분석하기 위한 웹 기반 시스템을 개발하였다. 이 시스템은 mRNA-miRNA 를 함께 고려한 통합 분석을 통해 숨겨진 질병의 메커니즘을 이해하고 치료 방법을 찾아내는 데 크게 공헌할 것이다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.1
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• pp.155-161
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• 2024

In this paper, we propose a new model by adding landmark information as a feature vector to the existing CNN-based facial emotion classification model. Facial emotion classification research using CNN-based models is being studied in various ways, but the recognition rate is very low. In order to improve the CNN-based models, we propose algorithms that improves facial expression classification accuracy by combining the CNN model with a landmark-based fully connected network obtained by ASM. By including landmarks in the CNN model, the recognition rate was improved by several percent, and experiments confirmed that further improved results could be obtained by adding FACS-based action units to the landmarks.

• 한국벤처창업학회:학술대회논문집
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• 2024.04a
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• pp.81-97
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• 2024

본 연구는 디지털 트랜스포메이션 맥락에서 기업의 경쟁우위와 생존을 도모하기 위해 양손잡이 역량의 다양한 차원을 구현하고 기업수준의 혁신에 기여하기 위한 목적으로 수행되었다. 디지털 기술의 이니셔티브인 디지털 기술 역량이 조직의 다차원(균형적, 결합된 차원)적 양손잡이 역량에 미치는 관계에서, 변환관리의 핵심 역량인 디지털 리더십 역량의 상세요인들(디지털 비전, 디지털 HR 스킬, 디지털 거버넌스, 협력방식)이 갖는 매개효과를 중심으로 검증하였다. 연구의 진행을 위해 국내 제조업과 ICT & 통신업에 종사하는 250명의 중소기업 관리자를 대상으로 설문조사를 실시한 데이터를 활용하였으며, 연구방법으로는 R을 GUI 방식으로 구현한 오픈소스 통계 툴(Tool)인 Jamovi 2.3.26의 응용프로그램을 사용하여 회귀분석을 실시한다. 본 연구는, 디지털 트랜스포메이션 맥락에서 조직 내 긴장을 관리하고 갈등을 해소하는 다차원 양손잡이 역량에 대한 운영방안과 리더십의 역할에 대한 기존지식의 범위를 확장하며, 조직이 속한 산업 환경과 처한 성황에 따라 적절한 양손잡이 역량과 리더십 역량을 사용할 수 있는 최적화된 방안을 제시한다. 또한 디지털 트랜스포메이션 맥락에서 조직이 양손잡이 역량을 도입하고자 할 때, 기술적 이니셔티브에 대한 투자도 물론 중요하지만, 리더십 역량이 가지는 세부요인 의한 양손잡이 역량을 달성함으로써, 더욱 효과적인 디지털 트랜스포메이션을 달성할 수 있다는 기여를 제공할 예정이다

• The Korean Journal of Applied Statistics
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• v.34 no.6
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• pp.923-936
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• 2021

A large number of non-responses are occurring in the sample survey, and various methods have been developed to deal with them appropriately. In particular, the bias caused by non-ignorable non-response greatly reduces the accuracy of estimation and makes non-response processing difficult. Recently, Chung and Shin (2017, 2020) proposed an estimator that improves the accuracy of estimation using parametric super-population model and response rate model. In this study, we suggested a bias corrected non-response mean estimator using a nonparametric function generalizing the form of a parametric super-population model. We confirmed the superiority of the proposed estimator through simulation studies.

• The Korean Journal of Archival Studies
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• no.60
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• pp.195-237
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• 2019

The food culture reflects the unique characteristics of the locality and the lifestyle and values of its members. So It is one of the most revealing elements of local identity. Such a food culture has an intangible form, such as memories and customs related to food, and is an area that is likely to disappear if not recorded and preserved. Based on the study of domestic and foreign cases, documentation was carried out in this study. In addition, we sought ways to manage and utilize the collected and produced records. Therefore, we suggested the method of documenting the local food culture, along with proposed managing the cultural resources of the recorded region and utilizing it in the academic and cultural aspects.

• Korea Trade Review
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• v.44 no.6
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• pp.345-361
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• 2019

In recent years, Chinese firms have explosively increased outward foreign direct investment (oFDI). While state-owned enterprises (SOEs) are still dominant in Chinese oFDI, privately-owned enterprises (POEs) are also accelerating their internationalization. These two types of Chinese firms differ in their behavior regarding oFDI. The objective of this paper is to analyze the differences in the choice of oFDI locations between Chinese SOEs and POEs by considering host country factors. By integrating the literature on Chinese firms' oFDI and on FDI locations, we developed six hypotheses concerning how host country factors affect their choice of location. We tested our hypotheses by conducting multiple regression analysis with recent secondary data on 413 Chinese MNEs in 88 countries between 2005 and 2016. The results of the test show that in selecting oFDI locations, Chinese SOEs invest relatively more in countries with richer natural resources, more abundant strategic assets, less production efficiency, higher political risk, and lower institutional quality compared with Chinese POEs. It is our hope that the empirical results of this paper will contribute to research on Chinese oFDI.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.11a
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• pp.609-612
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• 2007

정보사회와 컴퓨딩환경의 발전으로 언어, 학력, 인지도 등의 평가도구로서 컴퓨터기반의 평가환경이 보편화되었다. 특히 컴퓨터기반의 학력평가 환경을 위해서는 문항의 난이도와 변별도 등 문항의 특성을 정확히 분석하는 것이 필수적이다. 문항분석은 컴퓨터기반의 평가를 위한 양질의 문제은행 구성 및 문항과 수험자 능력의 정확한 추정과 체계적이고 과학적인 평가를 위한 전제조건이라 할 수 있다. 본 논문에서는 고전평가이론의 문제분석을 적용한 문제은행 시스템을 구현하였으며 수험결과를 분석하여 각 문제의 곤란도나 변별도, 문항분포도를 통하여 문제를 분석할 수 있도록 하였다. 또한 수험자가 각 문제를 푸는데 걸린 시간을 기록하여, 수험자의 문제에 이해도를 정확히 분석하고 수험자의 추측, 랜덤 선택 등으로 인한 정답을 맞힐 가능성과 한 문제를 읽고 이해하는 시간이 너무 오래걸린 이유에 대해서도 추정하였다. 문제분석 및 수험결과의 평가 및 분석으로 교사들은 문항의 양호도를 높일 수 있고 문제은행에 저장되어 있는 문항들을 수정하고 보완하여 양질의 문항을 출제할 수 있도록 하였다.

• Journal of Korean Society of Water and Wastewater
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• v.33 no.1
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• pp.63-77
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• 2019

Traditional wastewater research mainly focuses on 1) estimating the amount of waste entering sewage treatment facilities, 2) evaluating the treatment efficiency of sewage facilities, 3) investigating the role of sewage treatment effluent as a point source, and 4) designing and managing sewage treatment facilities. However, since wastewater contains a variety of chemical and biological substances due to the discharge of human excreta and material used for daily living into it, the collective constituents of wastewater are likely a reflection of a community's status. Wastewater-based epidemiology (WBE), an emerging and promising field of study that involves the analysis of substances in wastewater, can be applied to monitor the state of a defined community. WBE provides opportunities for exploiting indicators in wastewater to fulfill various objectives. The data analyzed under WBE are those pertaining to selected natural and anthropogenic substances in wastewater that are a result of the discharge of metabolic excreta, illicit or legal drugs, and infectious pathogens into the wastewater. This paper reviews recent progress in WBE and addresses current challenges in the field. It primarily discusses several representative applications including the investigation of drug consumption across different communities and the management of community disease and health. Finally, it summarizes established indicators for WBE.

• The Journal of the Convergence on Culture Technology
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• v.8 no.1
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• pp.531-536
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• 2022

This paper compared the performance of the parametric method and the nonparametric method when estimating the distribution for the tail of the distribution with heavy tails. For the parametric method, the generalized extreme value distribution and the generalized Pareto distribution were used, and for the nonparametric method, the kernel density estimation method was applied. For comparison of the two approaches, the results of function estimation by applying the block maximum value model and the threshold excess model using daily fine dust public data for each observatory in Seoul from 2014 to 2018 are shown together. In addition, the area where high concentrations of fine dust will occur was predicted through the return level.

• Knowledge Management Research
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• v.25 no.1
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• pp.155-172
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• 2024

This study investigates the effectiveness of foreign language learning through diverse treatments in virtual settings, particularly by differentiating virtual environments with three textual enhancement techniques. A 2 × 3 mixed-factorial design was used, treating virtual environments as within-subject factors and textual enhancement techniques as between-subject factors. Participants experienced two videos, each in different virtual learning environments with one of the random textual enhancement techniques. The results showed that the interaction between different virtual environments and textual enhancement techniques had a statistically significant impact on presence among groups. In examining main effects of virtual environments, significant differences were observed in flow and attitude toward pre-post learning. Also, main effects of textual enhancements notably influenced flow, intention to use, learning satisfaction, and learning confidence. This study highlights the potential of Metaverse in foreign language learning, suggesting that learner experiences and effects vary with different virtual environments.