• Journal of Korea Multimedia Society
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• v.12 no.1
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• pp.139-146
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• 2009

This paper deals with visualization that can appropriately show the characteristics deduced from relationships between pieces of information. The visualization of influence, which is used as an important index in deducing the characteristics of relationships in social network analysis, was selected as research topic, and first, the elements that show relationships within the network and the index that show influence were classified and organized. Second, the links between relational elements that show influence in social network were examined, and an influence visualization network was created. Third, an influence visualization framework was proposed which explains the interaction between social network analysis and visualization process. The influence visualization network and framework being proposed in this paper can be used not only to understand and analyze the elements that influence social network but also to make it possible to have a rational and efficient approach to network visualization. Hopefully, they will become a new methodological approach to information design.

• Proceedings of the KSME Conference
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• 2004.11a
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• pp.1454-1459
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• 2004

The major parameters governing the fluid dynamical and thermo-dynamical behavior in the large pipeline network system are friction loss and the pipeline length. But in local pipeline networks and relatively short distance pipeline system, secondary loss and the considerations of the moving states of the fluid machine are also important. One of the major element in local pressure control system is pressure regulator. It causes the variations of the physical properties in that pipeline system. When it is under working, the accurate analysis of the flow properties is so difficult. In this study, some numerical approaches to investigate the critical-flow-characteristics of the pressure regulator have been done according to the variations of the opening ratio or cross-sectional area and the detail examinations and considerations of the pressure regulator as a pipeline network elements have been carried. Finally the flow-flied distributions and critical-flow-characteristics have been presented in detail and the critical flow phenomena and the relation to the opening ratio or cross-sectional-area ratio have been studied.

• Journal of Information Technology Services
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• v.19 no.1
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• pp.1-16
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• 2020

Suncheon City Regeneration Project is known as the concept of cultural residents. Through the previous projects, the residents' capabilities have been improved, and the projects have been carried out according to their strategies. For this reason, participants in urban regeneration projects are important. The purpose of this study is to actually identify the 'rescue center' and 'direct relationship' with the analysis utilizing the characteristics of social networks NetMiner solution of the participants, who led the project, Suncheon. Surveys and interviews were conducted for participants, and the characteristics of social networks were analyzed in time series to quantify and visualize the results. As a result of the analysis, social networks were changed among the participants before and after the urban regeneration project. Initially, loose networks were denser over time, and initially networks formed only around participants were expanded over time. Network analysis has revealed that the system is strengthening with urban regeneration projects in the form of public and public-private cooperation. This highlights the need for a city-centered urban regeneration strategy centered on people and shows that a dense network of participants can be a success factor.

• The KIPS Transactions:PartC
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• v.14C no.3 s.113
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• pp.199-208
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• 2007

In a ubiquitous network environment, detecting the leakage of personal information is very important. The leakage of personal information might cause severe problem such as impersonation, cyber criminal and personal privacy violation. In this paper, we have proposed a detection method of personal information leakage based on network traffic characteristics. The experimental results indicate that the traffic character of a real campus network shows the self-similarity and Proposed method can detect the anomaly of leakage of personal information by malicious code.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.6 no.3
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• pp.416-420
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• 2002

Traditional queueing analyses are very useful for designing a network's capacity and predicting there performances, however most of the predicted results from the queueing analyses are quite different from the realistic measured performance. And recent empirical studies on LAN, WAN and VBR traffic characteristics have indicated that the models used in the traditional Poisson assumption can't properly predict the real traffic properties due to under estimation of the long range dependence of network traffic and self-similarity In this parer self-similar characteristics over statistical approaches and real time network traffic measurements are estimated It is also shown that the self- similar traffic reflects network traffic characteristics by comparing source model.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.6 no.4
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• pp.574-581
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• 2002

Traditional queueing analyses are very useful for designing a network's capacity and predicting their performances, however most of the predicted results from the queueing analyses are quite different from the realistic measured performance. And recent empirical studies on LAN, WAN, and VBR traffic characteristic have indicated that the models used in the traditional Poisson assumption cannot properly predict the real traffic properties due to underestimation of the long-range dependence of network traffics and self-similar properties. In this paper, It is also shown that the self-similar traffic reflects real Ethernet traffic characteristics by comparing Pareto-like ON/OFF source model which is exactly self-similar model to the traditional Poisson model. It is also performed optimization design and performance analysis of ATM network using Internet traffic characteristics.

• The Journal of Fisheries Business Administration
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• v.48 no.4
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• pp.27-43
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• 2017

The major purpose of this study is to find and analyze the characteristics of Fisheries Business Administration Research based on using social network analysis. This study examines every paper of The Journal of Fisheries Business Administration from 2007 to 2016. This study analyzes fisheries business administration research through bibliometric data including research trends, researcher characteristics, and key words. The 229 source articles are all papers published from 2007 to 2016 in The Journal of Fisheries Business Administration in Korea. Comparing with previous research, the major research areas of Korean fisheries business administration have a little changed and the topics of recent research are much diversified. Through basically based on frequency analysis and SNA(Social Network Analysis) method, most of the bibliographical characteristics were founded. And based on the result of this study showed that 1) increasement on number of researcher and organization 2) climate change and economic related topics are most popular terms 3) DEA is most adopted methodology in recent papers 4) joint research among the organizations has somewhat been increased 5) human resource management, history of fisheries management and education still have been conducted in terms of sustainability.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2002.05a
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• pp.104-107
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• 2002

Traditional queueing analyses are very useful for designing a network's capacity and predicting there performances, however most of the predicted results from the queueing analyses are quite different from the realistic measured performance. And recent empirical studies on LAN, WAN and VBR traffic characteristics have indicated that the models used in the traditional Poisson assumption can't properly predict the real traffic properties due to under estimation of the long range dependence of network traffic and self-similarity. In this paper self-similar characteristics over statistical approaches and real time network traffic measurements are estimated. It is also shown that the self-similar traffic reflects network traffic characteristics by comparing source model.

• Journal of The Geomorphological Association of Korea
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• v.23 no.3
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• pp.57-66
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• 2016

The objective of this study is to find out geomorphological characteristics of historical ruins where people produced and consumed large jar coffins excavated in the Yeongsan river basin using the map of old drainage network to restore distribution network. For this purpose, we chose the 21 consumption sites. The results are as follows. First of all, large jar coffins(relics, 47.6% of total) in the Yeongsan River basin were located in Sampo stream basin, almost all of them were located within the Yeongsan River main stream basin and Sampo stream basin. Also, distance from all consumption site to river was within about 2km. Therefore, it is thought that the all consumption sites are located at the place of the gift of nature that was very favorable to water transport of jar coffins. The results of this study may be used as basic data for research of cultural relics in the Yeongsan river basin.

• International Journal of Advanced Culture Technology
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• v.9 no.3
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• pp.243-252
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• 2021

The Gwangju Daein Art Market, once declared as a declined market, was regarded as a success after an inflow of artists. However, the number of resident artists decreased from 100 at the end of 2015 to 39, to 9 in 2018, and to 6 in 2021. The project site showed signs of decline toward the completion of the project, leading to a Longitudinal study on the project's sustainability. The purpose of this study is to investigate the causes of outflow of artists and the network characteristics of the remaining artists from a sustainability perspective and thereby draw policy implications. As an analysis method, in-depth interviews and surveys were conducted. After that, we checked the remaining artists in 2018 and 2021 and identified the network characteristics. Based on the interview results, the causes of outflow were classified into programmatic, physical, and other factors. The results of a comparison showed that the levels of understanding, satisfaction, and frequency of exchange decreased. The study also provides policy implications. First, a sustainable, long-term program for the artists must involve the improvement of physical space. Second, participation in the market should be encouraged by working with artists on program composition or business progress. Third, programs for supporting exchange among artists should be further strengthened.