• Journal of Korea Technology Innovation Society
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• v.15 no.1
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• pp.1-27
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• 2012

Under the open innovation paradigm, it is needed to establish an appropriate strategic planning tool which can take both internal and external resources and capabilities into account. In response, this paper suggests the open roadmap to systematically and usefully implement open innovation. The open roadmap deals with both inbound and outbound open innovation activities. Moreover, in the inbound and outbound open innovation, six types of the open roadmap are proposed in terms of sources of innovation. The proposed open roadmap is applied to a case of open innovation in the P&G corporation for examining its usefulness and validation. It is expected that the open roadmap provides fruitful information when open innovation is done.

• Journal of Korean Society for Atmospheric Environment
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• v.22 no.3
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• pp.287-295
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• 2006

PAHs (Polycyclic Aromatic Hydrocarbons), one of the carcinogenic materials in environment, were investigated in this study. The standardized analysis conditions were tested, and then various factors which affect to the ambient PAHs concentration in Seoul were estimated. Moreover, the emissions of PAHs from major stationary sources were investigated to determine the quantitative relationships between ambient PAHs concentrations and emission sources. From the factor analysis, three factors relevant to the ambient PAHs in Seoul were found. Factor 1 was related to the concentrations of chrysene, pyrene, indeno (1, 2, 3-cd)pyrene, benzo[b]fluoranthene, benzo[k]fluoranthene, and benzo prerylene which were mainly emitted from gasoline and diesel fueled cars. Factor 2 showed higher loadings in phenanthrene and anthracene which were due to LNG and BC oil combustion in industry and home. And factor 3 included dibenz(a, h)anthracene and acenaphthene which were emitted from open burning and municipal solid waste incineration. Conclusively, all of three factors were consisted in 82% of total variance. The contribution of mobile sources in ambient air in Seoul was estimated at 64%, that of industrial and home sources at 17%, and that of open burning and municipal incineration at 1%.

• The KIPS Transactions:PartD
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• v.9D no.6
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• pp.981-990
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• 2002

Over the past few years, a number of studies have been made on web map services which enable the GIS user to access spatial data through the web. They, however. have focused on only implementation techniques separately, such at map client implementation map server implementation, communication between client and server, and the map data representation. Therefore, it is hard to share and practical use the spatial data, because they does not ensure interoperability in heterogeneous map servers. In this paper, In this paper, we have designed and implemented the web map server with open architecture. which complies with the standard interfaces proposed by OpenGIS Consortium (OGC). In particular, we have extended the OGC's Interfaces for a map server to support one or more data sources. This paper has contributed to construction and practical use of web map services by newly proposing the method of implementation of a map server. which could be reused regardless of the types of data sources.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.39 no.spc1
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• pp.189-197
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• 2006

To elucidate the organic matter sources in soft-bottom macrozoobenthos at Tongyeong, Korea, macrozoobenthos and their potential food sources were sampled in May 2004, and their C and N stable isotope compositions were analyzed. In total we collected 128 macrozoobenthic species, which ranged from 465 to 3,775 individuals/$m^2$(average 2,108 ind.$m^2$) in density and from 47.8 to 539.9 gwwt/$m^2$(average 366.0 gwwt/$m^2$) in biomass. Cluster and multi-dimensional scaling analyses indicated that the macrozoobenthic community was divided into two distinct groups. Coastal inner stations, where commercial fish cages were established, were dominated by Amphioplus ancistrotus, Scoletoma longifoila and Tharyx sp., whereas open sea stations were dominated by Chaetozone spinosa, Scoletoma longifolia and Capitella capitata. ${\delta}^{13}C$ values of sedimentary organic matter showed a distinct gradient in the range of -18.4 to $-15.2\%_{\circ}$, with a declining trend from the coastal inner stations to open sea stations. This probably reflects the settling rate of organic wastes such as feces and pellets from fish cages near the coastal inner stations. The macrozoobenthos showed a broad ${\delta}^{13}C$ range from -19.5 to $-8.9\%_{\circ}$ at the coastal inner stations, and a relatively narrow range from -21.3 to $-12.9\%_{\circ}$ at the open sea stations. ${\delta}^{13}C$ values of macrozoobenthos paralleled those of sedimentary organic matter, Our isotope results suggested that macrozoobenthos near the coastal inner stations used organic wastes derived from fish cages along with phytoplankton, whereas the macrozoobenthos near the open sea stations used organic wasters derived mainly from phytoplankton.

• Journal of Korea Technology Innovation Society
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• v.14 no.3
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• pp.405-430
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• 2011

I examine what factors influence a firm's openness to external sources of knowledge in the Korean manufacturing sector. Related literature suggests a firm's appropriability strategy, absorptive capacity, technology entrepreneurship, firm size and industry-level technological opportunities as possible determinants. Using Korean Manufacturing Innovation Survey, I test how these factors influence the degree of openness of Korean manufacturing firm. I find the followings: First, when the appropriability strategy becomes tighter, a firm becomes more open to external sources. Second, when the share of highly educated employees increases, a firm becomes more open. Third, when a firm is a technology entrepreneur, the openness increases. Fourth, a large firm is likely to be more open. Lastly, ample technological opportunities increase the openness. In Korean manufacturing industries, the highly educated employees and technology entrepreneurship are more influential factors for a firm's openness.

• Journal of Korean Society for Geospatial Information Science
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• v.17 no.4
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• pp.3-11
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• 2009

Open source is recently much more made and distributed by on-line such as internet in various fields. Therefore, end users could rapidly develop applications needed for some purposes using minimal efforts if use open sources. But, open source must be customized for their purposes. In this paper, we developed software for coordinates conversion and compared the software with NGI Pro which is developed by National Geographic Information Institute. Consequently, it is possible for us to easily develop the coordinates conversion module and we know that the use of open source is effective to develop various applications.

• Korean Journal of Remote Sensing
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• v.31 no.1
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• pp.1-9
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• 2015

Mobility and cloud platform have become the dominant paradigm to develop web services dealing with huge and diverse digital contents for scientific solution or engineering application. These two trends are technically combined into mobile cloud computing environment taking beneficial points from each. The intention of this study is to design and implement a mobile cloud application for remotely sensed image fusion for the further practical geo-based mobile services. In this implementation, the system architecture consists of two parts: mobile web client and cloud application server. Mobile web client is for user interface regarding image fusion application processing and image visualization and for mobile web service of data listing and browsing. Cloud application server works on OpenStack, open source cloud platform. In this part, three server instances are generated as web server instance, tiling server instance, and fusion server instance. With metadata browsing of the processing data, image fusion by Bayesian approach is performed using functions within Orfeo Toolbox (OTB), open source remote sensing library. In addition, similarity of fused images with respect to input image set is estimated by histogram distance metrics. This result can be used as the reference criterion for user parameter choice on Bayesian image fusion. It is thought that the implementation strategy for mobile cloud application based on full open sources provides good points for a mobile service supporting specific remote sensing functions, besides image fusion schemes, by user demands to expand remote sensing application fields.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.6
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• pp.1193-1198
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• 2022

As unmanned processing systems emerged socially due to the rapid development of modern society, a face recognition attendance management system using Raspberry Pi 4 was studied and conceived to automatically analyze and process images and produce meaningful results using OpenCV. Based on Raspberry Pi 4, the software is designed with Python 3 and consists of technologies such as OpenCV, Haarcascade, Kakao API, and Google Drive, which are open sources, and can communicate with users in real time through Kakao API for face registration and face recognition.

• The Bulletin of The Korean Astronomical Society
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• v.35 no.1
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• pp.41.2-41.2
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• 2010

The infrared astronomy satellite AKARI/FIS (Far-Infrared Surveyor) performed all-sky survey in 4 Far-IR bands (50 - 200${\mu}m$ range). It observed around 94% of the whole sky twice or more with a higher spatial resolution and a wider wavelength coverage than that of previous all-sky mission, IRAS. The AKARI/FIS bright source catalogue ${\beta}-2$ is the second released version which included around 290,000 point sources. It provides us with more reliable position and flux information, and around 4 times larger number of sources compared with the first version of catalogue. The sensitivity limit at $90{\mu}m$ band is 0.6 Jy and the estimated flux uncertainty is 20-35% for bright sources. The catalogue will be open to public in this year after the improvement of accuracy, reliability and completeness.

• Journal of Information Science Theory and Practice
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• v.6 no.3
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• pp.6-15
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• 2018

With the increasing demand for intelligent services, knowledge graph technologies have attracted much attention. Various application-specific knowledge bases have been developed in industry and academia. In particular, open knowledge bases play an important role for constructing a new knowledge base by serving as a reference data source. However, identifying the same entities among heterogeneous knowledge sources is not trivial. This study focuses on extracting and determining exact and precise entities, which is essential for merging and fusing various knowledge sources. To achieve this, several algorithms for extracting the same entities are proposed and then their performance is evaluated using real-world knowledge sources.