• Journal of the Korean Society for Aviation and Aeronautics
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• v.30 no.4
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• pp.65-75
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• 2022

This study aims to forecast of Air Passenger Demand between South Korea and North Korea using the system dynamics analysis methodology that is based on the system thinking. System dynamics is not only a tool that makes the systematic thought to a model but also a computer program-based analysis methodology that mathematically models the system varying according to time variation. This study analyzed the causal relationship based on the interrelation among variables and structured them by considering various variables that affect aviation cooperation from the perspective of Air passenger demand forecasting. In addition, based on the causal relationship between variables, this study also completed the causal loop diagram that forms a feedback loop, constructed the stock-flow diagram of Inter-Korean model using Vensim program. In this study, Air passenger demand was using by the simulation variable value into System Dynamics. This study was difficult to reflect the various variables constituting the North Korea environment, and there is a limit to the occurrence of events in North Korea.

• Journal of Distribution Science
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• v.21 no.10
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• pp.1-9
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• 2023

Purpose: This study analyses the current development of cross-border e-commerce in China, outlines the challenges faced by Chinese cross-border e-commerce SMEs, and finally summarises the development strategies of Chinese cross-border e-commerce SMEs in the post-covid-19 era, which will provide opinion references for the development of Chinese cross-border e-commerce SMEs. Research design, data and methodology: The methodology used in this study is to analyse the current situation of cross-border e-commerce development in China in the context of covid-19 through literature; and to summarise the challenges encountered by Chinese cross-border e-commerce SMEs through semi-structured interviews. Results: The article summarises the current status of China's cross-border e-commerce development in the context of covid-19 in terms of cross-border e-commerce trade volume, cross-border e-commerce enterprise and user scale, cross-border e-commerce logistics, cross-border e-commerce global co-operation, government policy, and cross-border e-commerce product distribution, outlining challenges encountered by China's cross-border e-commerce SMEs in terms of logistic pricing, operating capital chain, product service support, and trade protection The paper Finally, it is pointed out that Chinese cross-border e-commerce SMEs must adopt new strategies to adapt to the new development in the context of covid-19. Conclusions: Specific development strategies are provided for Chinese cross-border e-commerce enterprises and reference suggestions are provided for the post-covid-19 era.

• Journal of The Korean Society of Agricultural Engineers
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• v.66 no.3
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• pp.53-62
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• 2024

The purpose of this study is to examine the methodology for applying digital twin technology to pumping station, identify the factors to be determined at each stage, and present its applicability. When analyzing the requirements for developing a digital twin for pumping station, they were categorized into service requirements, IoT device requirements, and gateway requirements, with a total of 39 requirements established. In system design, it was structured according to the principles of modularity, abstraction, stepwise decomposition, and information hiding, allowing the implementation of planned items for diagnosis and operational management. There are difficulties in setting communication-related protocols and applying them in the field due to the complexity of overseeing the entire system with data. Therefore, it is necessary to clarify the purpose of the system, and there are challenges in identifying the characteristics of individual facilities, such as pumps in pumping station, and fully incorporating them into the system process. Thus, the framework of the initial design is crucial for implementing a digital twin.

• Journal of Korea Multimedia Society
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• v.7 no.9
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• pp.1208-1218
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• 2004

Nowadays the information exchange based on XML such as B2B electronic commerce is spreading. Therefore a systematic and stable management mechanism for storing the exchanged information is needed. For this goal there are many research activities for centering on relational databases the connection between XML application and databases. But when XML data which has hierarchical structure is stored as relational databases which are expressed as relational information, a set of 2-dimensional table, there is a limitation essentially. Accordingly the modeling methodology for storing such structured information in the form of object-relational databases is needed. In order to build good quality application systems, modeling is an important first step. In 1997, the OMG adopted the UML as its standard modeling language. Since industry has warmly embraced UML, its popularity should become more important in the future. So a design methodology based on UML is needed to develop efficient XML applications. In this paper, we propose a unified design methodology for XML applications based on object-relational database using UML. To reach these goals, first we propose a systematic three step methodology to extract UML, second we introduce a XML modeling methodology to design W3C XML schema using UML and third we propose a data modeling methodology for object-relational database schema to store exchanging XML data efficiently.

• Korean Institute of Interior Design Journal
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• v.19 no.5
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• pp.182-189
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• 2010

An exhibition administrator, one who works in the exhibition space of museums and exhibition halls, has carried on various tasks in order to improve the exhibition standard and viewer's satisfaction. Although exhibition administrators have a variety of direct perceptions regarding an exhibition in the actual on-site space, a study on their consciousness was absent. Thus, this study was to comprehend the awareness of how the consciousness of exhibition administrators, who directly understand the various matters regarding the exhibition on-site, was structured and to investigate the difference between the consciousness of exhibition viewers and designers. For the study, Q-Methodology, which can scientifically manage the consciousness such as awareness and the acquired attitudes through individual experiences from a specific group, was applied. The classification of 33 Q-methodology research questions was carried out with 18 exhibition administrators, who are working at either national or public museums and exhibition halls in Korea, and the Principal Component Analysis (PCA) using the QUANL PC program was performed. The results of the analysis provided the following 4 types: 'viewer attraction and exhibition method oriented', 'exhibition standard oriented', 'public relations oriented' and 'the public and government's interest oriented'. Each type showed significant characteristics. Additionally, n showed that 'exhibition standard oriented' was the common type after comparing the type of consciousness among the 3 groups of people, such as an exhibition administrator, an exhibition designer, and a viewer. It indicated that the types of 'public relations oriented' and 'the public and government's interest oriented' from the consciousness category for the exhibition administrator were the most independent type, not being found in any of the other groups. And the Significant correlation between the exhibition viewers and designers was identified after examining the Pearson's correlation among the 3 groups.

• Journal of Digital Convergence
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• v.16 no.6
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• pp.85-93
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• 2018

The Latent Growth Modeling(LGM) is known as the arising analysis method of longitudinal data and it could be classified into unconditional model and conditional model. Unconditional model requires estimated value of intercept and slope to complete a model of fitness. However, the existing LGM is in absence of a structured methodology to estimate slope when longitudinal data is neither simple linear function nor the pre-defined function. This study used Sequential Pattern of Association Rule Mining to calculate slope of unconditional model. The applied dataset is 'the Youth Panel 2001-2006' from Korea Employment Information Service. The proposed methodology was able to identify increasing fitness of the model comparing to the existing simple linear function and visualizing process of slope estimation.

• Journal of KIISE:Computing Practices and Letters
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• v.11 no.3
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• pp.275-283
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• 2005

Ontologies are the core components of the Semantic Web and knowledge-based systems. But it is difficult to find useful ontologies in actual domains. In order to build useful domain ontology, the conceptualization of the domain knowledge by knowledge experts of the specific domain and the specification of conceptualized knowledge with formal languages by ontology designers are required. In addition, structured and detailed guidelines and methods should be provided to be shared by the development team members. However, existing ontology building methodologies define and describe the skeletal structure of the whole building process at the top-layer. We build a useful academic ontology that is based on the conceptual knowledge structure in the domain of philosophy, and propose a detailed methodology to build a text ontology based on Topic Maps. Our methodology consists of two phases, ontology modelling and ontology implementation. We implement a philosophy knowledge portal to support retrieving and navigating of the philosophy knowledge.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.27 no.6
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• pp.565-572
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• 2014

A systematically structured 3D information model can be effectively utilized in many application fields. This study presents the methodology of generation and application of the city information model, which is suited for the management of the flood damage information. To ensure the interoperability and re-usability of the information, this study develops application methodology to utilize the information attributes included in the CityGML as an open standard data schema and extension methodology for additional information attributes. Also, an effective combining method for topography and building model was proposed. Using the data extracted from the combined information model based on a real flood damage case, it was shown that the numbers of casualties and isolation during a flood can be predicted and as a result, the applicability of the data model on flood damage estimation is naturally verified.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.935-940
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• 2023

Most text data collected through web scraping for artificial intelligence and big data analysis is generally large and unstructured, so a purification process is required for big data analysis. The process becomes structured data that can be analyzed through a heuristic pre-processing refining step and a post-processing machine refining step. Therefore, in this study, in the post-processing machine refining process, the Korean dictionary and the stopword dictionary are used to extract vocabularies for frequency analysis for word cloud analysis. In this process, "user-defined stopwords" are used to efficiently remove stopwords that were not removed. We propose a methodology for applying the "thesaurus" and examine the pros and cons of the proposed refining method through a case analysis using the "user-defined stop word thesaurus" technique proposed to complement the problems of the existing "stop word dictionary" method with R's word cloud technique. We present comparative verification and suggest the effectiveness of practical application of the proposed methodology.

• The Mathematical Education
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• v.56 no.3
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• pp.301-318
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• 2017

This paper explores students' question generation process and their study in small group discussion. The research is based on Anthropological Theory of the Didactic developed by Chevallard. He argues that the savior (knowledge) we are dealing with at school is based on a paradigm that we prevail over whether we 'learn' or 'study' socially. In other words, we haven't provided students with autonomous research and learning opportunities under 'the dominant paradigm of visiting works'. As an alternative, he suggests that we should move on to a new didactic paradigm for 'questioning the world a question', and proposes the Study and Research Courses (SRC) as its pedagogical structure. This study explores the SRC structure of small group activities in solving ill-structured problems. In order to explore the SRC structure generated in the small group discussion, one middle school teacher and 7 middle school students participated in this study. The students were divided into two groups with 4 students and 3 students. The teacher conducted the lesson with ill-structured problems provided by researchers. We collected students' presentation materials and classroom video records, and then analyzed based on SRC structure. As a result, we have identified that students were able to focus on the valuable information they needed to explore. We found that the nature of the questions generated by students focused on details more than the whole of the problem. In the SRC course, we also found pattern of a small group discussion. In other words, they generated questions relatively personally, but sought answer cooperatively. This study identified the possibility of SRC as a tool to provide a holistic learning mode of small group discussions in small class, which bring about future mathematics classrooms. This study is meaningful to investigate how students develop their own mathematical inquiry process through self-directed learning, learner-specific curriculum are emphasized and the paradigm shift is required.