• Journal of the Korean Institute of Educational Facilities
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• v.18 no.2
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• pp.30-39
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• 2011

학교 도서실은 단지 자료를 축적해 놓은 자료실로서의 역할만을 목적으로 이용하는 곳이 아니라, 학습활동, 독서활동 자료 및 정보제공, 그리고 레크리에이션의 장으로서의 기능을 가지고 있다. 즉 학교의 도서실은 일반 공공도서실과는 다른 학교의 교육목표 달성을 위한 가장 기본적인 교육공간으로 자아학습의 장이다. 지식정보화시대를 맞이하여 자기주도적인 학생중심의 학습을 위한 독서활동과 다양한 자료의 활용이 없이는 불가능하며 학교 도서실을 이용하지 않고서는 그 효과를 기대하기 어렵다. 단지 장서수와 컴퓨터 등의 물리적인 수치가 더 이상 지표가 되어서는 안 되고 학생들의 정서함양 및 인격소양에 도움이 되는 독서공간을 통한 청소년기의 마음의 안정을 제공해 줄 수 있는 진정한 자아학습의 장으로 거듭나야 할 것이다. 본 고에서는 문화관광부의 문화로 아름답고 행복한 학교만들기 사업 가운데 선정된 도서공간의 재구축 사례에 대해 소개하고자 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.11a
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• pp.215-217
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• 2010

IT융합의 중요성이 강조되고 있는 IT 지식정보화 사회에 지능형 로봇의 발전은 끝없이 연구되고 있다. 미래 인간사회에 로봇이 미치는 영향은 아주 클 것으로 예상하고 있으며, 인간의 실생활과 로봇의 가상공간 세계는 점점 일체화 되어 갈 것으로 예측된다. 따라서 인간은 로봇의 활동과 행동을 좀 더 구체적이고 자세하게 제어할 필요가 있다. 최근 현실세계를 가상공간의 세계로 표현하고자 하는 연구가 활발히 진행되고 있으며, 가상공간을 활용한 미래의 세상 환경은 점점 많아 질 것으로 예상한다. 따라서 본 논문에서는 지능로봇 시뮬레이션 맵 자동생성을 위한 제어 동기화 설계를 연구하였다. 현실세계의 실제 로봇과 가상공간의 시뮬레이션 로봇을 동기화하여 하드웨어 로봇의 움직임에 따라 가상공간의 로봇이 맵을 자동으로 생성시킬 수 있는 방법을 연구하고 설계하여 실험하였다. 실제 로봇의 움직임을 3차원 가상공간으로 자동 생성하게 함으로서, 로봇의 제어를 좀 더 지능화 시킬 수 있을 뿐아니라, 여러 다양한 시뮬레이션 테스트 환경으로 응용할 수 있는 큰 장점이 있다. 또한 로봇을 활용한 가상공간 세계의 시뮬레이션은 미래 인간과 로봇이 함께하는 공존세계에 큰 역할을 할 수 있을 것으로 기대한다.

• Journal of the Korean Society for Nondestructive Testing
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• v.24 no.3
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• pp.253-258
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• 2004

To get accurate information about the defect from the test signal, NDT engineers should have a good knowledge on forward problems. Such knowledge is usually obtained by a lot of testing experiences. Another why of obtaining such knowledge is to build a database containing lots of defect information and their corresponding signals. However, the archiving of raw test data would require a lot of storage space. In this paper, an economic way of storing signals is studied by using Fourier descriptors. Instead of saving raw signal data, Fourier descriptors are saved and the storage spare is reduced. Of course, the defect signal can be reconstructed from the stored descriptors. By using differential ECT signals produced by numerical modeling and experiment, the savings of 85% from the original signal and $57{\sim}65%$ from the filtered signal in the storage space were confirmed. The similarity of the reconstructed signal and the original signal was also demonstrated. This Fourier descriptor approach could contribute significantly in building differential signal databases.

• Journal of the Economic Geographical Society of Korea
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• v.15 no.1
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• pp.116-130
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• 2012

This study focuses on analyzing the design industry in creative industry in the context of upbringing growth engine of regional development policy and strategy. This research probe the spatial characteristics and inter-organizational network structure change from 2000 to 2010 using social network analysis(SNA) in terms of structural, spatial and temporal aspects. first, with the statistical data of design industry, this research evaluate spatial distribution and agggglomeration compared with 16 cities and 7metropolitan scales in Korea. Next, the group of density in the knowledge network of design industry explained with the spatial characteristics and inter-organizational network evolution in time series. After considering the government policy and strategy providing as a result of establishing regional innovation center strengthen cooperation among industry-university-research center.

• Journal of the Economic Geographical Society of Korea
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• v.11 no.3
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• pp.334-349
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• 2008

In this study, the network formation process of personal actors in industries for the elderly was analyzed. This process is applied to the knowledge creation model of the SECI (Nonaka-Takeuchi learning cycle), that is socialization, externalization, combination, internalization. There are some kinds of opportunities to interact in these industries in the forms of field survey teams to overseas, some seminars and symposiums, many kinds of meetings, education and training programs, trade fairs and on-line forums. These palces(ba) - originating ba, interacting ba, cyber ba, exercising ba - played great roles in the formation of personal actor networks. Personal actors had opportunities to interconnect with distant actors through those places(ba). In the spatial perspective, personal actors could make face-to-face contact and build trust through temporary geographical proximity or temporary clusters with the help of personal mobility. Relations in the virtual spaces such as the Internet community did much toward building personal networks.

• Journal of the Economic Geographical Society of Korea
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• v.23 no.2
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• pp.125-146
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• 2020

There is an increasing need to foster new industries at the local level. This study aims to analyze the spatial patterns of new industries in Korea from 2007-2017 and to figure out its determinants of agglomeration in 2017. Through this study, it is found that new industries are unevenly distributed around Seoul Metropolitan Area(SMA). The regional disparity between SMA and non-SMA is prominent. Furthermore, new industries represent a strong spatial positive autocorrelation, showing a strong concentration on a few regions in Korea. This study explores the determinants on agglomeration of new industries with spatial statistical model. From the results of spatial error model, it is indicated that the number of graduate students, the ratio of technology based start-ups, and the number of elementary, middle, and high schools have a significant effect on new industries. In addition, the specialization and the diversity of industrial structure on knowledge-based manufacturing industries and knowledge-based service industries have been statistically significant. This study provides implications that non-SMA needs policies with respect to attracting talented people, developing human resources, and improving regional environment in order to improve regional competitiveness in promoting new industries.

• The KIPS Transactions:PartD
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• v.10D no.4
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• pp.567-576
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• 2003

Spatial data mining, i.e., discovery of interesting characteristics and patterns that may implicitly exists in spatial databases, is a challenging task due to the huge amounts of spatial data. Clustering algorithms are attractive for the task of class identification in spatial databases. Several methods for spatial clustering have been presented in recent years, but have the following several drawbacks increase costs due to computing distance among objects and process only memory-resident data. In this paper, we propose an efficient grid cell based spatial clustering method for spatial data mining. It focuses on resolving disadvantages of existing clustering algorithms. In details, it aims to reduce cost further for good efficiency on large databases. To do this, we devise a spatial clustering algorithm based on grid ceil structures including cell relationships.

• The Journal of Korean Association of Computer Education
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• v.18 no.6
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• pp.71-79
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• 2015

In a new era of Cloud and Big data, how to search the useful data from dynamic huge data pool in a right time and right way is most important at the stage where the information is getting more important. Above all, in the era of s Big Data it is required to design the advanced efficient intelligent Knowledge system which can process the dynamic variable big data. Accordingly in this paper we propose Dynamic personal Knowledge Network as one of the advanced Intelligent system approach. Adopting the human brain function and its neuro dynamics, an Intelligent system which has a structural flexibility was designed. For Structure-Function association, a personal Knowledge Network is made to be structured and to have reorganizing function as connecting the common nodes. We also design this system to have a reasoning process in the extracted optimal paths from the Knowledge Network.

• Journal of the Korea Society of Computer and Information
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• v.11 no.1 s.39
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• pp.27-34
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• 2006

Recently, the study about the technology which effectively manage spatial information is actively conducted. For the effective knowledge inquiry, various extended data mining methods are applied in spatial data mining. However, former spatial association rule system appears the problem that does not reflect various non-spatial property along the inquiries because it searches the rule from the calculation among predicates. To resolve the problem, present study suggests the system that extends the inquiries using in spatial database, searches the association rule among non-spatial object property after setting the data based on space information. Especially, the model which is applicable to geographical information system is embodied. Embodied system with this method enables to search more useful spatial association rule in real life since it shows high migration property with extended spatial database and considers spatial property and various non-spatial property.

• The tire
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• s.243
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• pp.30-33
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• 2010

교통사고 예방뿐만 아니라 범세계적인 협력이 필요한 탄소배출 감축과 직결되어 있는 타이어의 '적정 공기압 유지 관리'라는 최근 그 중요성과 필요성이 날로 커지고 있으나, 운전자들의 타이어 공기압 관리에 대한 의식은 저조한 실정이다. 이러한 상황에서 타이어 적정공기압과 관련한 범국민적인 안전의식 제고를 기대할 수 있는 캠페인이 지식경제부에서 주관하고 대한타이어공업협회 및 에너지관리공단을 비롯한 관련 기관과 업체들이 참여하여 향후 6개월간 대대적으로 추진될 계획이다.