• Journal of Korean Society for Atmospheric Environment
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• v.22 no.2
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• pp.167-177
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• 2006

In this study, a fundamental work for developing a biogenic Volatile Organic Compounds(BVOC) emission model in Korea has been carried out. Two different approaches, Biogenic Emission Inventory System(BEIS2) and CORINAIR Methodology(CORINAIR) were compared for estimating BVOC emissions. It was found that BEIS and CORINAIR showed very similar results each other BVOC emissions estimated by two different methods were about the same on a national and regional(provincial) scale. In case of monthly emissions the difference between BEIS and CORINAIR were larger than those on a national and regional(provincial) scale, especially in summer season(June, July and August). Although BEIS and CORINAIR are quite different techniques to correct the environmental conditions, they revealed similar results. Therefore, it is proven that both the methods are able to be applied to the estimation of the BVOC emissions in Korea.

• The KSFM Journal of Fluid Machinery
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• v.18 no.3
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• pp.38-45
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• 2015

In this study, two computational methodologies were compared to consider an effective conjugate heat transfer analysis technique for the cooled vane with thermal barrier coating. The first one is the physical modeling method of the TBC layer on the vane surface, which means solid volume of the TBC on the vane surface. The second one is the numerical modeling method of the TBC layer by putting the heat resistance interface condition on the surface between the fluid and solid domains, which means no physical layer on the vane surface. For those two methodologies, conjugate heat transfer analyses were conducted for the cooled vane with TBC layer having various thickness from 0.1 mm to 0.3 mm. Static pressure distributions for two cases show quite similar patterns in the overall region while the physical modeling shows quite a little difference around the throat area. Thermal analyses indicated that the metal temperature distributions are quite similar for both methods. The results show that the numerical modeling method can reduce the computational resources significantly and is quite suitable method to evaluate the overall performance of TBC even though it does not reflect the exact geometry and flow field characteristics on the vane surface.

• Earthquakes and Structures
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• v.4 no.2
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• pp.157-179
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• 2013

Vulnerability studies on the existing building stock require that a large number of buildings is analyzed to obtain statistically significant evaluations of the seismic performance. Therefore, analytical evaluation methods need to be based on simplified methodologies of analysis which can afford the treatment of a large building population with a reasonable computational effort. Simplified Pushover-Based Earthquake Loss Assessment approach (SP-BELA), where a simplified methodology to identify the structural capacity of the building through the definition of a pushover curve is adopted, was developed on these bases. Main objective of the research work presented in this paper is to validate the simplified methodology implemented in SP-BELA against the results of more sophisticated nonlinear dynamic analyses (NLDAs). The comparison is performed for RC buildings designed only to vertical loads, representative of the "as built" in Italy and in Mediterranean countries with a building stock very similar to the Italian one. In NLDAs the non linear and degrading behaviour, typical of the structures under consideration when subjected to high seismic loads, is evaluated using models able to capture, with adequate accuracy, the non linear behaviour of RC structural elements taking into account stiffness degradation, strength deterioration, and pinching effect. Results show when simplified analyses are in good agreement with NLDAs. As a consequence, unsatisfactory results from simplified analysis are pointed out to address their current applicability limits.

• Journal of Korea Multimedia Society
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• v.24 no.3
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• pp.494-507
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• 2021

As service design becomes more common, various user research methods and tools such as cultural probes and contextual inquiry are being used to grasp the user's experience and needs. These methodologies have the advantage of being able to derive various insights through direct observation and investigation, but have disadvantages in that problems such as time and space constraints, cost occurrence, and delay in the service development process may occur. In addition, it is difficult to conduct actual observations, face-to-face investigations, and interviews due to COVID-19, which has recently spread rapidly around the world. Accordingly, prior to the digitization of cultural probes, I would like to suggest the direction of digital tools. First, after grasping the concept of service design and user research through literature research, the necessity of user research in service design was confirmed. After that, the necessity of digitalizing user research was confirmed by extracting functional elements that could be understood and digitalized about the cultural probes methodology, and analyzing previous studies using existing mobile-based survey techniques. Finally, we confirmed the direction of digital tools through user interviews through cultural probes.

• Journal of East-West Nursing Research
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• v.20 no.2
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• pp.167-176
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• 2014

Purpose: The purpose of this study was to analyze articles published in the Journal of East-West Nursing Research (JEWNR) to identify the current research status of East-West Nursing Research and recommend directions for future research. Methods: Using analysis criteria developed by the researchers, 104 articles published in JEWNR between 2009 and 2013 were reviewed. Results: 86.5% of the studies were quantitative, qualitative 3.85% and methodological research 9.61%. The majority of the quantitative research design was survey, 34.4% used experimental design. 62.5% of the experimental intervention was derived from Western nursing concept and 31.31% was from Eastern nursing concept. 40.6% of the research indicated that they have obtained verbal consent and 53.1% had written consent from the participants. The data collection settings were hospital (46.9%), school (26.0%) and community (25.0%). Conclusion: Both the number and quality of the published articles in the JEWNR has increased compared to the articles published between 2004 and 2008. Varied research methodologies and data analysis methods were utilized. Findings of this study indicate that strengthening peer review adhering to review guidelines will improve the quality of articles and promote the reputation of JEWNR as an international journal.

• Research in Community and Public Health Nursing
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• v.27 no.3
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• pp.242-253
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• 2016

Purpose: This research aims to understand the perceptions of nursing homes from the perspective of the elderly, explores the themes of such perception and provides supporting evidence for developing nursing intervention that focuses on the subjects of care within nursing homes. Methods: This research is based on qualitative research in a phenomenological methodology. The research participants included elders aged 67~83 living at home in Jeonnam, Jeonbuk Provinces and G City. Data collection methodologies included in-depth interviews and observation of participants. The data were analyzed in the phenomenological methodology by Colaizzi. Results: As a result of the research, it was found that all significant statements about the Korean elders' perception of nursing homes fell within 3 categories with 9 major themes and 23 minor themes. The three observed categories for the Korean elders' perception on nursing homes were: 'places they do not like to be in', 'places they have to be in' and 'places that makes them feel fortunate as they have a place to go'. Conclusion: This research provides foundational tools that will provide a steer for changes in nursing environment, physiological support, programs and education so that the needs of the elderly can be met more sufficiently.

• International Journal of Quality Innovation
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• v.5 no.2
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• pp.89-105
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• 2004

Many researchers and practitioners have acknowledged the need to investigate the relationships amongst various criteria of implementing total quality management (TQM) in small and medium-sized manufacturing enterprises (SMMEs). There is a need to have practical research methodologies that take cognisance of the peculiarities of SMMEs and impact on their quality management practices in developing countries. This paper presents the theoretical foundation of a proposed Generative Research Methodology and configures the specification of a TQM implementation framework in SMMEs. The methodology combines rigorous research approaches, builds theory based on the dynamics of the environment and the firms' characteristics and incorporates various TQM criteria into the design of the framework. It synchronises inductive and deductive research methods in three phases and uses various means to acquire empirical evidence and examine the dependent and independent variables of TQM implementation. It is anticipated that the methodology could help SMMEs to develop, analyse and evaluate the framework for attaining quality performance goals.

• Korean Journal of Remote Sensing
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• v.39 no.4
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• pp.371-393
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• 2023

Crack detection in structures plays a vital role in ensuring their safety, durability, and reliability. Traditional crack detection methods sometimes need significant manual inspections, which are laborious, expensive, and prone to error by humans. Deep learning algorithms, which can learn intricate features from large-scale datasets, have emerged as a viable option for automated crack detection recently. This study presents an in-depth review of crack detection methods used till now, like image processing, traditional machine learning, and deep learning methods. Specifically, it will provide a comparative analysis of crack detection methods using deep learning, aiming to provide insights into the advancements, challenges, and future directions in this field. To facilitate comparative analysis, this study surveys publicly available crack detection datasets and benchmarks commonly used in deep learning research. Evaluation metrics employed to check the performance of different models are discussed, with emphasis on accuracy, precision, recall, and F1-score. Moreover, this study provides an in-depth analysis of recent studies and highlights key findings, including state-of-the-art techniques, novel architectures, and innovative approaches to address the shortcomings of the existing methods. Finally, this study provides a summary of the key insights gained from the comparative analysis, highlighting the potential of deep learning in revolutionizing methodologies for crack detection. The findings of this research will serve as a valuable resource for researchers in the field, aiding them in selecting appropriate methods for crack detection and inspiring further advancements in this domain.

• Asian-Australasian Journal of Animal Sciences
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• v.12 no.1
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• pp.77-83
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• 1999

Molecular biological techniques that recently developed, have made it possible to realize some of new attempts in the research field of rumen microbiology. Those are 1) cloning of genes from rumen microorganisms mainly in E. coli, 2) transformation of rumen bacteria and 3) ecological analysis with nonculturing methods. Most of the cloned genes are for polysaccharidase enzymes such as endoglucanase, xylanase, amylase, chitinase and others, and the cloning rendered gene structural analyses by sequencing and also characterization of the translated products through easier purification. Electrotransformation of Butyrivibrio fibrisolvens and Prevotella ruminicola have been made toward the direction for obtaining more fibrolytic, acid-tolerant, depoisoning or essential amino acids-producing rumen bacterium. These primarily required stable and efficient gene transfer systems. Some vectors, constructed from native plasmids of rumen bacteria, are now available for successful gene introduction and expression in those rumen bacterial species. Probing and PCR-based methodologies have also been developed for detecting specific bacterial species and even strains. These are much due to accumulation of rRNA gene sequences of rumen microbes in databases. Although optimized analytical conditions are essential to reliable and reproducible estimation of the targeted microbes, the methods permit long term storage of frozen samples, providing us ease in analytical work as compared with a traditional method based on culturing. Moreover, the methods seem to be promissing for obtaining taxonomic and evolutionary information on all the rumen microbes, whether they are culturable or not.

• Korean Institute of Interior Design Journal
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• v.24 no.6
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• pp.30-37
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• 2015

This study has the purpose to investigate the landscape plans focused on the public sector housing complexes in the Seoul Metropolitan Area in the 2000s. The targeted subjects of this study are 24 districts conducted by the Corporation, and the spatial extent is limited to Seoul metropolitan area. The scope of the research is limited to the public sector, because this sector has been conducted preferentially for public needs rather than the development profit, and has positively reflected the will "pre plan - post development". In view of the study methodologies, this study examined the transition process in Korea housing complex and analyzed the design reports to extract the key planning concepts and planning methods of landscape planning. The main concepts of landscape planning analyzed in this study were urban landscape, natural landscape, streetscape, architectural landscape, axis for viewing, landmark, skyline and landscape by areas. The key planning methods of landscape planning were landmark, which is a point landscape element, axis for viewing and skyline, which are linear landscape elements, landscape by areas which is an area landscape element, and finally complex landscape, walking landscape and nightscape, which are three-dimensional landscape elements.