• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.05a
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• pp.911-914
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• 2009

멀티 네트워크는 여러 무선 접속 기술을 동시에 접속할 수 있도록 구성된 시스템으로 정의되며 Ambient Networks(ANs) 프로젝트로 연구가 진행 중에 있다. 우선 ANs은 여러 다른 무선 장치와 Multi-Radio Access(MRA) 기술이 군집된 동적 통신 환경에서의 네트워킹 개념이다. 따라서 3 세대로 불리는 Global System for Mobile communications(GSM), Universal Mobile Telecommunications System(UMTS) 그리고 무선랜(WLAN)등 다양한 네트워크 인터페이스로 구성된 mobile terminal(MT)이 다양한 무선 접속 기술을 지원하는 멀티네트워크에 접속하여 "Always Best Connected" 관점에서 효율적 접속 서비스를 제공 받아야 한다. 본 논문에서는 멀티네트워크 환경에서 단말에 high-performance를 제공하기 위한 자원관리 모델인 MRRM/RARM(Multi-Radio/Radio Access Resource Management)과 GLL(Generic Link Layer)에 대한 기술 요소를 정의하고 분석한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.05a
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• pp.481-484
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• 2009

멀티 네트워크는 여러 무선 접속 기술을 동시에 접속할 수 있도록 구성된 시스템으로 정의되며 Ambient Networks(ANs) 프로젝트로 연구가 진행 중에 있다. 우선 ANs은 여러 다른 무선 장치와 Multi-Radio Access(MRA) 기술이 군집된 동적 통신 환경에서의 네트워킹 개념이다. 따라서 3 세대로 불리는 Global System for Mobile communications(GSM), Universal Mobile Telecommunications System(UMTS) 그리고 무선랜(WLAN)등 다양한 네트워크 인터페이스로 구성된 mobile terminal(MT)이 다양한 무선 접속 기술을 지원하는 멀티네트워크에 접속하여 "Always Best Connected" 관점에서 효율적 접속 서비스를 제공 받아야 한다. 본 논문에서는 멀티네트워크 환경에서 단말에 high-performance를 제공하기 위한 자원관리 모델인 MRRM/RARM(Multi-Radio/Radio Access Resource Management)과 GLL(Generic Link Layer)에 대한 기술 요소를 정의하고 분석한다.

• Journal of the Korean Data and Information Science Society
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• v.26 no.4
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• pp.827-839
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• 2015

Extraction of communities from a journal citation database by the citation structure is a useful tool to see closely related groups of the journals. SCI of Thomson Reuters or SCOPUS of Elsevier have had tried to grasp community structure of the journals in their indices according to citation relationships, but such a trial has not been made yet with the Korean Citation Index, KCI. Therefore, in this study, we extracted communities of the journals of the natural science area in KCI, using various clustering algorithms for a social network based on citations among the journals and compared the groups obtained with the classfication of KCI. The infomap algorithm, one of the clustering methods applied in this article, showed the best grouping result in the sense that groups obtained by it are closer to the KCI classification than by other algorithms considered and reflect well the citation structure of the journals. The classification results obtained in this study might be taken consideration when reclassification of the KCI journals will be made in the future.

• Journal of the Economic Geographical Society of Korea
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• v.15 no.2
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• pp.292-303
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• 2012

The main purpose of this study is to analyze R&D networks and spatial implications in Qingdao consumer electronics industry agglomeration in China. The characteristics of R&D networks in Qindao consumer electronic industry are as follows. There is a cluster central around large enterprises led by the government and their subcontracting enterprises. However, the degree of collaborative networks in intra-firm, inter-firm, firm-research institutes(including university lab.) is relatively low. Therefore, Large enterprises in Qingdao has stimulated research collaborations with firms and research institutes located in other regions rather than within region. It is likely to show that R&D networks of consumer electronics industry has not been stimulated in Qingdao. Therefore, collaborative R&D networks among firms, research institutes and governments should be stimulated to build regional innovation systems central around consumer electronics industry in Qingdao.

• Proceedings of the Korean Society for Information Management Conference
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• 2013.08a
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• pp.51-54
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• 2013

본 연구는 정보학 분야의 저명한 연구자 T.D.Wilson의 연구주제 분야를 네트워크 분석을 이용하여 해석해보고, 그의 연구는 물론 정보학 분야의 연구주제에 관한 이해를 도모하는 데 연구의 목적이 있다. 이를 위해 그의 저작을 대상으로 서지결합분석 방법을 이용한 군집 분석을 실시하여 연구주제를 나누어 보고 대표적인 연구주제와 논문, 그리고 인용빈도와의 관계를 규명하였다. 패스파인더 네트워크와 노드엑셀을 이용한 분석 결과, 대표적인 연구주제는 정보행위연구이고 논문으로는 "Human information behavior(2000)"로 나타났다. 더불어 '정보요구'라는 핵심 연구주제 아래 정보탐색, 정보관리, 정보이용, 웹정보에 이르는 정보학 분야의 다양한 연구가 이루어졌음을 알 수 있다.

• Journal of the Korean Society for information Management
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• v.34 no.4
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• pp.101-126
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• 2017

Data Science is emerging as a closely related field of study to Library and Information Science (LIS), and as an interdisciplinary subject combining LIS, statistics and computer science in an attempt to understand the value of data by applying what LIS has been doing for collecting, storing, organizing, analyzing, and utilizing information. To investigate which subject fields other than LIS, statistics, and computer science are related to Data Science, this study retrieved 667 materials from Web of Science Core Collection, extracted terms representing Web of Science Categories, examined subject fields that are studying Data Science using descriptive analysis, analyzed the intellectual structure of the field by co-word analysis and network analysis, and visualized the results as a Pathfinder network with clustering created with the PNNC clustering algorithm. The result of this study might help to understand the intellectual structure of the Data Science field, and may be helpful to give an idea for developing relatively new curriculum.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.7
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• pp.263-272
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• 2016

Modular product design has contributed to flexible product modification and development, production lead time reduction, and increasing product diversity. Modular product design aims to develop a product architecture that is composed of detachable modules. These modules are constructed by maximizing the similarity of components based on physical and functional interaction analysis among components. Accordingly, a systematic procedure for clustering the components, which is a main activity in modular product design, is proposed in this paper. The first phase in this procedure is to build a component-to-component correlation matrix by analyzing physical and functional interaction relations among the components. In the second phase, network flow modeling is applied to find clusters of components, maximizing their correlations. In the last phase, a network flow model formulated with linear programming is solved to find the clusters and to make them modular. Finally, the proposed procedure in this research and its application are illustrated with an example of modularization for a vacuum cleaner.

• Journal of Digital Convergence
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• v.17 no.1
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• pp.9-27
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• 2019

The purpose of this study is to examine consumers' responses to mobile payment services by using a text-mining technique focusing on Samsung Pay as it is used in both online and offline transactions. We conducted text frequency analysis, text clustering analysis, and text network analysis using R programming. The major findings are as follows. First, the most frequently used key words referenced the brand names of the mobile devices, the replacement of traditional wallets and unique functions of Samsung Pay. Second, there was a clear split between positive and negative responses at the macro level. Third, replacement of traditional wallets played a great role in the positive responses and continuous use of mobile payment services. This study provides in-depth understanding of consumer responses toward mobile payment services. It also offers practical implications that may help mobile payment marketers correspond to consumer values and expectations, thus increasing consumer satisfaction.

• The Journal of Society for e-Business Studies
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• v.21 no.1
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• pp.119-129
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• 2016

With the development of web, amount of information are generated in social web. Then many researchers are focused on the extracting and analyzing social issues from various social data. The proposed approach performed gathering the science data and analyzing with LDA algorithm. It generated the clusters which represent the social topics related to 'health'. As a result, we could deduce the relationship between science data and social issues.

• Journal of Practical Agriculture & Fisheries Research
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• v.23 no.1
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• pp.89-104
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• 2021

Based on the TF-IDF weighted value that evaluates the importance of words that play a key role, the semantic network analysis(SNA) was conducted on the self-introduction letter of freshman at Korea National College of Agriculture and Fisheries(KNCAF) in 2020. The top three words calculated by TF-IDF weights were agriculture, mathematics, study (Q. 1), clubs, plants, friends (Q. 2), friends, clubs, opinions, (Q. 3), mushrooms, insects, and fathers (Q. 4). In the relationship between words, the words with high betweenness centrality are reason, high school, attending (Q. 1), garbage, high school, school (Q. 2), importance, misunderstanding, completion (Q.3), processing, feed, and farmhouse (Q. 4). The words with high degree centrality are high school, inquiry, grades (Q. 1), garbage, cleanup, class time (Q. 2), opinion, meetings, volunteer activities (Q.3), processing, space, and practice (Q. 4). The combination of words with high frequency of simultaneous appearances, that is, high correlation, appeared as 'certification - acquisition', 'problem - solution', 'science - life', and 'misunderstanding - concession'. In cluster analysis, the number of clusters obtained by the height of cluster dendrogram was 2(Q.1), 4(Q.2, 4) and 5(Q. 3). At this time, the cohesion in Cluster was high and the heterogeneity between Clusters was clearly shown.