• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.118-118
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• 2022

지속적인 학문의 발전을 위해서는 선행연구에 대한 재현성이 무엇보다도 중요하다고 할 수 있다. 하지만 컴퓨터와 소프트웨어의 급속한 발달로 인한 컴퓨터 환경의 다양화, 분석 소프트웨어의 지속적 최신화로 인해서 최근 구축된 모델도 짧게는 몇 달, 길게는 1~2년후면 다양한 에러로 인하여 재현성이 불가능해지고 있다. 이러한 재현성의 극복을 위해서 온라인을 통한 데이터와 소스코드의 공유의 필요성이 제시되고 있으나, 실제로는 개인마다 컴퓨터 환경, 버전, 소프트웨어 설치에 필요한 라이브러리의 버전 또는 디렉토리 등이 달라 단순히 온라인을 통한 데이터와 소스코드의 공유만으로 재현성을 개선하기는 힘든 것이 현실이다. 따라서 이러한 컴퓨터 모델링 환경의 공유는 과거의 형태와 같이 데이터, 소스코드와 매뉴얼의 공유만으로 불가능하다고 할 수 있다. 따라서 본 연구에서는 수자원 모델링의 재현성 개선을 위해 1) 온라인 저장소, 2) 클라우드기반 JupyterHub 모델링 환경과 3) 모델 APIs 3개의 핵심 구성요소를 제시하고, 최근 미국에서 개발된SUMMA(Structure for Unifying Multiple Modeling Alternative) 수자원 모델에 적용하여 재현성 달성을 위한 3개의 핵심 구성요소의 필요성과 용이성을 검증하였다. 첫 번째, 데이터와 모델의 온라인 공유는 FAIR(Findable, Accessible, Interoperable, Reusable) 원칙으로 개발된 수자원분야의 대표적인 온라인 저장소인 HydroShare를 활용하여 모델입력자료를 메타데이터와 함께 공유하였다. 두 번째, HydroShare에서 Web App의 형태로 제공되는 클라우드기반 JupyterHub환경인 CUAHSI JupyterHub(CJH)와 일루노이대학에서 제공하는 CyberGIS-Jupyter for water JupyterHub(CJW)환경에 수자원모델링 환경을 컨테이너(Docker) 환경을 통해 구축·공유하였다. 마지막으로, 클라우드에서 수자원모델의 효율적 이용을 위해 Python기반의SUMMA모델 API인 pySUMMA를 개발·공유하였다. 이와같이 구축된 3개의 핵심 구성요소를 이용하여 2015년 Water Resources Research에 게재된 SUMMA 논문의 9개 Test Cases 중에서 5개를 누구나 쉽게 재현할 수 있음을 증명하였다. 재현성의 중요성에 대한 인식의 증가로 Open과 Transparent Hydrology에 대한 요구가 증대되고 있으며, 이를 위해서 클라우드 기반의 모델링 환경구축 및 제공이 확대되고 있다. 본 연구에서 제시한 HydroShare와 같은 온라인 저장소, CJH와 CJW와 같은 클라우드기반 모델링환경, 모델의 효율적 이용을 위한 모델 APIs는 급속도로 발달하고 있는 컴퓨터 및 소프트웨어 환경에서 핵심구성요소이며, 연구의 재현성 개선을 통해 수자원공학 발전에 기여할 것으로 기대된다.

• Korea Science and Art Forum
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• v.34
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• pp.275-290
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• 2018

The study began with the recognition that the animations movie need objective and reasonable methods to classify conflicts in visual to analyze conflicts centering on narratives. Study the emotions of the hero in conflict. The purpose of the study is to analyze conflict intensity and emotion. The results and contents of the study are as follows. First, we found a Turning Point and suggested a conflict classification model (Conflict 6B Model). Second, Based on the conflict classification model, the conflict based shot DB was extracted. Third, I found strength and emotion in inner and super personal conflicts. Fourth, Experiments and tests of strength and emotion were conducted in internal and super personal conflicts. The results of this study are metadata extracted from the emotional research on conflict. It is expected to be applied to video indexing of conflicts.

• Journal of Korean Society of Archives and Records Management
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• v.23 no.4
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• pp.159-178
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• 2023

A digital archive is an online platform for preserving and utilizing digital records worthy of continued preservation. However, there are no shared standards for functionality, metadata, or data technical principles across digital archives in Korea. These issues create challenges in linking distributed digital records. This study proposes a common vocabulary for digital archives to enhance the interoperability of digital records and evaluates the interoperability of the digital archive built with the common vocabulary. We collect and analyze data from the digital archive on the Korean financial crisis of 1997 to construct a knowledge graph and compare its interoperability with the knowledge graph built with RiC-O. The archive and the knowledge graph underwent evaluation using the FAIR data principles evaluation framework. The constructed knowledge graph links various objects in the archive and provides contextual information to aid in understanding the archive. The results demonstrate that a knowledge graph built with a common vocabulary significantly improves the linkage, search, and interoperability of digital records compared to a traditional archive.

• Journal of Internet Computing and Services
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• v.25 no.3
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• pp.93-100
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• 2024

This study empirically examined the influence of motivation for using the metaverse virtual community Ifland on satisfaction and intention to continue usage, as well as the moderating effect of innovativeness. Specifically, the study identified the motivations for using Ifland among its users and analyzed their relationships with satisfaction and intention to continue usage. For this purpose, a survey was conducted targeting 303 university students who had experience using Ifland.The results of the study are as follows: Firstly, the motivations for using Ifland were identified as entertainment and relaxation, information-seeking, social interaction, and self-expression motives. All of these motivations were found to have a significant impact on user satisfaction. Secondly, satisfaction with Ifland was found to influence intention to continue usage. Thirdly, innovativeness was found to moderate the relationship between entertainment and relaxation motives and satisfaction, and it was confirmed to play a moderating role between satisfaction and intention to continue usage.

• Korean Journal of Remote Sensing
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• v.36 no.5_3
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• pp.1053-1066
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• 2020

Sulfur dioxide (SO₂) is primarily released through industrial, residential, and transportation activities, and creates secondary air pollutants through chemical reactions in the atmosphere. Long-term exposure to SO₂ can result in a negative effect on the human body causing respiratory or cardiovascular disease, which makes the effective and continuous monitoring of SO₂ crucial. In South Korea, SO₂ monitoring at ground stations has been performed, but this does not provide spatially continuous information of SO₂ concentrations. Thus, this research estimated spatially continuous ground-level SO₂ concentrations at 1 km resolution over South Korea through the synergistic use of satellite data and numerical models. A stacking ensemble approach, fusing multiple machine learning algorithms at two levels (i.e., base and meta), was adopted for ground-level SO₂ estimation using data from January 2015 to April 2019. Random forest and extreme gradient boosting were used as based models and multiple linear regression was adopted for the meta-model. The cross-validation results showed that the meta-model produced the improved performance by 25% compared to the base models, resulting in the correlation coefficient of 0.48 and root-mean-square-error of 0.0032 ppm. In addition, the temporal transferability of the approach was evaluated for one-year data which were not used in the model development. The spatial distribution of ground-level SO₂ concentrations based on the proposed model agreed with the general seasonality of SO₂ and the temporal patterns of emission sources.

• The Journal of the Korea Contents Association
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• v.16 no.3
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• pp.149-161
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• 2016

The purpose of this study is provided to useful data to establish the Constraint Induced Movement Therapy(CIMT) in clinical plan to more specific for stroke patients. Also It is provided way for further study about CIMT. Methods used a systematic review. Systematic review is a research method that can be presented to the scientific evidence. Data were organized by PICO(Patient, Intervention, Comparison, Outcome). Research using the database Embase and Medline, It was searched for CIMT and Stroke. We selected for a total of 42 studies that meet the purpose of the present study. We was selected for a total of 42 studies that meet the purpose of the present study. Results was that the quality of the study is a systematic review, meta-analyzes, randomized controlled. CIMT studies was based on a high quality level of 50% of the total. The difference between the study period was 42.8%, more research was conducted prior to 2010. CIMT has been used more than mCIMT by to differ 40.5%. It is effective in over 75% of study, regardless of the CIMT intervention. In conclusion, CIMT has an effect on the upper limbs of stroke patients damaged, results will be used as a useful material to develop a CIMT in the clinical treatment plan. In future studies will need to validate studies on the effectiveness of the mCIMT, It will require a review of the effectiveness of validation studies.

• Journal of the Korea Institute of Building Construction
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• v.16 no.5
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• pp.421-428
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• 2016

In this work, pozzolanic activities of various waste materials were compared with those of well-known by-product pozzolanic materials. Undensified and densified silica fume, ASTM class F and class C fly ash, and metakaolin were chosen as well-known pozzolanic materials, and bentonite powder, ceramic powder obtained from wash basin, and waste glass wool, which can possibly possess pozzolanic property, were chosen for comparison. Drop in electrical conductivity at $40^{\circ}C$ saturated lime solution was measured for each materials. The amount of Ca(OH)2 decomposed from cement paste at $450{\sim}500^{\circ}C$ was also measured to evaluate pozzolanic activity. The 28 day compressive strength were used to observe the mechanical property enhanced by incorporation of various waste materials. According to the experimental results, using "difference between maximum conductivity value and conductivity value at 4 hour" was found to be a reasonable approach to determine pozzolanic activity of a material. Pozzolanic activity measured using electrical conductivity correlates very well with that measured using the amount of Ca(OH)2 remained in the cement paste. Relatively good agreement was also found with electrical conductivity and 28 day compressive strength. It was found that electrical conductivity measurement can be used to evaluate pozzolanic activity of unknown materials.

• Journal of Technology Innovation
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• v.20 no.2
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• pp.161-187
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• 2012

Recently, environmentally friendly technology are becoming important due to reconsideration about climate change and environmental pollution. In addition, as well as technical skills and social interaction through an analysis of the nonlinear transition management and policy implementation are emerging. This study of the development of photovoltaic industry in Korea 10 years analyze with strategic niche management (SNM) based on the theoretical and multi-layered perspective (MLP) is used as the analytical framework. Choose the gerverment-support project for niche technology, through a process of quantifying and alnalyze the phase transition to Regime with the numerical method and policy vision, learning effects, and network that key elements of SNM, MLP. Through the analysis of the photovoltaic industry technology-commercialization phase was investigated. This conventional overall and step-by-step model for technical management is proposed to replace exiting linear and narrow method and through the case study its validity was confirmed.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.10 no.2
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• pp.236-243
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• 1999

The purpose of this study were to factor analyze the 25-item Personal Resource Question-naire (PRQ)-Part II, a social support measure, and to establish construct validity for the instrument among adolescents by relationship found between perceived social support and the theoretically relevant variables of attachment, parent-child relationships, and coping, The sample was consisted of 451 college students, aged 18 to 24. According to the criteria used in this study a four-factor structure, which consisted of 15-items, resulting from a principal components analysis with an oblique rotation, best represented the multidimensionality of the PRQ-Part II of late adolescents in Korea. Evidence in support of construct validity for both the 15-item and 25-item PRQPart II was provided by statistically significant correlations found between the two scales and the theoretically relevant variable of attachment, parent-child relationships, and coping. With the findings of this study, the 15-item Korean version of the PRQ-Part II can be used in research and practice as a reliable and valid instrument measuring perceived social support for late adolescents in Korea.

• Korean Journal of Remote Sensing
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• v.38 no.6_3
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• pp.1789-1803
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• 2022

With the increase of data and the development of AI technology, the strategies and policies related to integrated data are being actively established to increase the usability of data all over the world. Recently, in the research field, infrastructure projects and management systems are being prepared to utilize research data at the initiative of the government. Also, in Korea, platforms for searching and sharing research data are being actively developed. The National Disaster Management Research Institute (NDMI) has been conducting extensive research on disaster & safety as a national institute, but data-oriented management and utilization are insufficient. Because it still lacks consistent data management systems, metadata for outcomes of research, experts on data and policies for utilization of data to research. In order to move to the data-based research paradigm, we defined the master plans and verified a target model for the integrated management and utilization of disaster & safety research data. In this study, we found out the need to establish differentiated data governance, such as data standardization and unification of the data management system, and dedicated organization for managing data, based on the necessity and actual demands of NDMI. In order to verify the effectiveness of the target model reflecting the derived implications, we intend to establish a pilot mode. In the future, major improvement measures to establish a disaster & safety research data management system will be implement.