• Asia pacific journal of information systems
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• v.26 no.2
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• pp.247-262
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• 2016

Almost all Koreans recognize the Dolhareubang as a representative symbol of Jeju. However, as the development of online technology progressed, the image and perception of the Dolhareubang is also expected to change. Thus, this study explored the perceived images of Dolhareubang by focusing on residents in Seoul, Korea using Q methodology. The goal of this research was to evaluate this iconic representation of Jeju as an important component of the island's online tourism destination image. The Q-set was developed from existing literature and defined conceptually in terms of 'value', 'resource', 'story', and 'image'. Thirty five respondents were recruited as P set. Findings indicated four distinctive clusters that perceived the Dolhareubang differently and differences in perceptions were observed in terms of age. The examination of destination image and the exploration of the perceptions of Dolharuebang as a representative of Jeju could contribute to online destination image management or development, which is a crucial component of smart tourism.

• Journal of Sport and Applied Science
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• v.4 no.2
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• pp.11-17
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• 2020

Purpose: Sports is an activity created by human beings and is related with natural and human environments, and it is a physical activity which inherently interacts with geographical properties. With the above views, it is clear that sports reflect human culture and physical environment, which are closely related to places or spaces in terms of origin, propagation and diffusion, or geography in a broader sense. This study explored the relationships between sporting activities and geography with an environmental view. Research design, data, and methodology: The study employed qualitative methodology to review the association between sport and geographical perspective. The study reviewed the broad documents including journals, periodicals, reports and so forth. Results: First, since its inception in the 1960s, research on sports geography has been steadily studied in many international geography and non-geographic research journals. Second, it reflects the distinct characteristics of the relationship between sports and geography (relationship with physical geography and humanities). Third, as a spatial approach to sports, it is the place of sports, globalization of sports, and the tourist attraction of sports. Conclusion: the findings of this study provides insights for sport geography and could be applied to the current sports industry. Further implications were discussed.

• Journal of Magnetics
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• v.21 no.4
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• pp.644-651
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• 2016

A novel zero voltage switching (ZVS) phase shift full bridge (PSFB) converter used in geophysical exploration is proposed in this paper. To extend the ZVS ranges and increase power density of the converter, external inductor acting as leakage inductance is applied and integrated into the integrated magnetic (IM) transformer with separated secondary winding. Moreover, the loss of ZVS PSFB converter is also decreased. Besides, the analysis and accurate prediction methodology of the leakage inductance of the IM transformer are proposed, which are based on magnetic energy and Lebedev. Finally, to verify the accuracy of analysis and methodology, the experimental and finite element analysis (FEA) results of IM transformer and 40 kW converter prototypes are given.

• The Journal of Information Systems
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• v.30 no.4
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• pp.153-171
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• 2021

Purpose This study is to phenomenologically discover key antecedents and outcomes of behavioral process of SNS users who have multiple SNS sub-accounts. Unlike previous studies that focused on user behavior in the context of a specific SNS platform, this study attempts to describe how and why individual manages their multiple sub-accounts across a variety of SNS platforms. Design/methodology/approach By applying the grounded theory methodology (GTM) to elucidate the unique behavior in SNS platforms, this study has conducted in-depth interview with 14 respondents who handle multiple accounts across the SNS platforms. As a results of analyzing the interview manuscripts, this study has extracted 47 concepts, 10 sub-categories and 6 main categories by conducting open coding, axis coding, and selective coding. Findings By analyzing interview data, this study has derived main categories such as account management, impression management, self-categorization, authority to determine the relationship, digital shadow work, and portfolio SNS accounts from qualitative interview data. This study has also conducted a process analysis that represents how main categories could be inter-related. Based on findings, this study provides a new phenomenological perspective to understand the behavioral process of SNS users' sub-account usage experience.

• 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.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.763-768
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• 2024

This study utilized Q methodology to analyze subjectivity and understand the various factors contributing to the employment difficulties faced by college students majoring in digital content, particularly focusing on practical education. The original data was obtained by administering a Q sample, designed around employment stress and job anxiety, to a purposively selected P sample of 31 individuals, who sorted and classified the statements. The analysis yielded four distinct types: 'lack of practical experience,' 'lack of employment and practical skills,' 'impaired career decision-making and weak will,' and 'lack of mentors and employment information.' Based on these types, the study suggests several implications and solutions, including facilitating student participation in internship programs, offering induction and non-curricular program education, conducting career exploration workshops, and expanding senior mentoring opportunities.

• Structural Engineering and Mechanics
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• v.92 no.1
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• pp.99-110
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• 2024

The crack propagation path can be considered as a boundary problem in which the crack advances towards the interior of the domain. Consequently, this poses an optimization problem wherein the local crack-growth direction angle can be treated as a design variable. The advantage of this approach is that the continuous minimization of strain energy naturally leads to the mode I propagation path. Furthermore, this procedure does not rely on the precise characterization of the stress field at the crack tip and is independent of stress intensity factors. This paper proposes an algorithm based on internal point exploration as well as shape sensitivity optimization and strain energy minimization to determine the crack propagation direction. To implement this methodology, the algorithm utilizes a modeling GUI associated with an academic analysis program based on the Dual Boundary Elements Method and determines the propagation path by exploiting the elastic strain energy at points in the domain that are candidates to be included in the boundary. The sensitivity of the optimal solution is also assessed in the vicinity of the optimum point, ensuring the stability and robustness of the solution. The results obtained demonstrate that the proposed methodology accurately predicts the crack propagation direction in Mode I opening for a single crack (lateral and central). Furthermore, robust optimal solutions were achieved in all cases, indicating that the optimal solution was not highly sensitive to changes in the design variable in the vicinity of the optimal point.

• Journal of Intelligence and Information Systems
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• v.27 no.4
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• pp.49-71
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• 2021

Users who intend to utilize knowledge to actively solve given problems proceed their jobs with cross- and sequential exploration of associated knowledge related each other in terms of certain criteria, such as content relevance. A knowledge map is the diagram or taxonomy overviewing status of currently managed knowledge in a knowledge-base, and supports users' knowledge exploration based on certain relationships between knowledge. A knowledge map, therefore, must be expressed in a networked form by linking related knowledge based on certain types of relationships, and should be implemented by deploying proper technologies or tools specialized in defining and inferring them. To meet this end, this study suggests a methodology for developing the knowledge graph-based knowledge map using the Graph DB known to exhibit proper functionality in expressing and inferring relationships between entities and their relationships stored in a knowledge-base. Procedures of the proposed methodology are modeling graph data, creating nodes, properties, relationships, and composing knowledge networks by combining identified links between knowledge. Among various Graph DBs, the Neo4j is used in this study for its high credibility and applicability through wide and various application cases. To examine the validity of the proposed methodology, a knowledge graph-based knowledge map is implemented deploying the Graph DB, and a performance comparison test is performed, by applying previous research's data to check whether this study's knowledge map can yield the same level of performance as the previous one did. Previous research's case is concerned with building a process-based knowledge map using the ontology technology, which identifies links between related knowledge based on the sequences of tasks producing or being activated by knowledge. In other words, since a task not only is activated by knowledge as an input but also produces knowledge as an output, input and output knowledge are linked as a flow by the task. Also since a business process is composed of affiliated tasks to fulfill the purpose of the process, the knowledge networks within a business process can be concluded by the sequences of the tasks composing the process. Therefore, using the Neo4j, considered process, task, and knowledge as well as the relationships among them are defined as nodes and relationships so that knowledge links can be identified based on the sequences of tasks. The resultant knowledge network by aggregating identified knowledge links is the knowledge map equipping functionality as a knowledge graph, and therefore its performance needs to be tested whether it meets the level of previous research's validation results. The performance test examines two aspects, the correctness of knowledge links and the possibility of inferring new types of knowledge: the former is examined using 7 questions, and the latter is checked by extracting two new-typed knowledge. As a result, the knowledge map constructed through the proposed methodology has showed the same level of performance as the previous one, and processed knowledge definition as well as knowledge relationship inference in a more efficient manner. Furthermore, comparing to the previous research's ontology-based approach, this study's Graph DB-based approach has also showed more beneficial functionality in intensively managing only the knowledge of interest, dynamically defining knowledge and relationships by reflecting various meanings from situations to purposes, agilely inferring knowledge and relationships through Cypher-based query, and easily creating a new relationship by aggregating existing ones, etc. This study's artifacts can be applied to implement the user-friendly function of knowledge exploration reflecting user's cognitive process toward associated knowledge, and can further underpin the development of an intelligent knowledge-base expanding autonomously through the discovery of new knowledge and their relationships by inference. This study, moreover than these, has an instant effect on implementing the networked knowledge map essential to satisfying contemporary users eagerly excavating the way to find proper knowledge to use.

• Geophysics and Geophysical Exploration
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• v.11 no.3
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• pp.167-176
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• 2008

Lau basin of the south Pacific, as an active back arc basin, is promising area bearing seafloor massive hydrothermal deposit that is located in a subduction zone between the Pacific ocean plate and Indo-Australian continental plate. We performed multi-beam bathymetry survey in the Lau basin using EM120, to find out high hydrothermal activity Bone. Fonualei Rift and Spreading Center (FRSC) and Mangatolou Triple Junction (MTJ) area were selected for precise site survey through seafloor morphology investigation. The result of surface and deep-tow magnetometer survey showed that Central Anomaly Magnetization High (CAMH) recorded which is associated with active ridge in FRSC-2 and revealed very low magnetic anomalies that can be connected to past or present high hydrothermal activity in MTJ-1 seamount area. Moreover, the physical and chemical tracers of hydrothermal vent flume, i.e., transmission, hydrogen ion concentration (pH), adenosine triphosphate (ATP), methane (CH4) by use of CTD system, showed significant anomalies in those areas. From positive vent flume results, we could conclude that these areas were or are experiencing very active volcanic activities. The acquired chimney and hydrothermal altered bed rock samples gave us confidence of the existence of massive hydrothermal deposit. Even though not to use visual exploration equipment such as ROV, DTSSS, etc., traditional marine geophysical investigation approach might be a truly cost-effective tool for exploring seafloor hydrothermal massive deposit.

• Journal of Korea Technology Innovation Society
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• v.14 no.spc
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• pp.1073-1095
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• 2011

Recently, technology intelligence (TI) activities that support technological and/or market innovation have been important for many organizations to develop their competitiveness in trend of strengthening innovation-led economy. It is required to thorough understanding of TI-related activities and investigating methodology that can support these activities to facilitate technology opportunity exploration activities and increase the possibility of innovation. Thus, this research aims at first, investigating the taxonomy of objectives, information and methodology for technology opportunity development (TOD) through literature survey, second, deriving the TOD needs and current status analysis by conducting interview with various domestic firms, and finally, proposing an integrated framework of TI by synthesizing the results of the aforementioned investigation. Therefore, this research can suggest the strategic and political implications on TOD activities and moreover, propose a theoretical foundation to develop a supporting system for TI.