• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.5
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• pp.27-33
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• 2014

As UCI (Universal Content Identifier) identification system becomes a national standard for content distribution, many digital contents are distributed through UCI identification system. However, problems associated with copyright infringement and copyright contracts occur due to lack of copyright information. ICN (Integrated Copyright Number), a code system developed for copyright management, includes copyright-related information for the purposes of usage settlement and accounting, illegal usage monitoring, and content filtering. ICN, however, has no information about distribution and content properties. Therefore, the linkage and integration between UCI and ICN can be a basis for the transparent and effective distribution of digital contents. In this paper, we propose a model for linking and integrating UCI and ICN, developing the efficiency in the value chain of each identified system by analyzing political factors and key technical elements between the two identification systems.

• Asian-Australasian Journal of Animal Sciences
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• v.18 no.6
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• pp.762-766
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• 2005

This study was conducted to establish an individual identification system comprising of 19 microsatellite markers located on different bovine autosomes. The markers were typed on 257 animals from five cattle breeds. In total, 112 alleles were detected from the genotyping of 19 microsatellite markers. The average heterozygosities ranged from 0.292 to 0.824 and the polymorphic information content (PIC) ranged from 0.274 to 0.817 in Hanwoo. We found that there were differences in allele frequencies in Hanwoo when compared with other cattle breeds. The calculated cumulative power of discrimination (CPD) was 99.999% when nine microsatellite loci were used for analysis in the individual identification system. Also the matching probability, the probability that two unrelated animals would show the same genotypes, was estimated to be $0.44{\times}10^{-9}$. Therefore, the nine markers used in this study will be used for individual identification in two million Hanwoo individuals.

• The Journal of the Korea Contents Association
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• v.21 no.5
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• pp.157-169
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• 2021

YouTube has rapidly grown as a news media outlet. As political content without fact-checking is actively provided and YouTube algorithms are used for content recommendations, users are selectively exposed to certain political ideologies, which could escalate conflicts among political groups. In particular, the stronger the identification of in-group, the greater the antipathy toward outgroup, and the more exposed the content to the parties that support or oppose it, the stronger the identification or the antipathy can be. This study investigated the relationship between selective exposure and political attitude polarization in the context of political video on YouTube. Based on social identity theory, this study also found that political identification mediates the relationship between selective exposure and political attitude polarization.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10c
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• pp.520-522
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• 2004

최근 급속히 증가하고 있는 Digital Content의 생성과 활용으로 인해 인터넷 기반의 Digital Content 유통이 활성화 되고 있다. 하지만 URL의 한계와 Content의 불법복제 및 무단변형과 같은 역기능이 나타남으로써 양질의 콘텐트 생산 유통이 저해되고 있다. 따라서 본 논문에서는 URN 기반의 DOI 식별체계와 Digital Content 보호를 위한 PKI 기반의 공개키 알고리즘, 그리고 콘텐트 제공자의 저작권을 보호하기 위한 Digital Watermarking과 DRM기술을 접목한 강인한 Digital Content 유통모델을 제안하고자 한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.07a
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• pp.80-82
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• 2018

전세계적으로 대형 자연재난 및 사회재난의 증가로 재난 대응 체계 고도화에 대한 국가적인 관심과 요구가 급증하고 있다. 다양한 재난유형에 대한 효과적인 대응을 위해서는 사전에 구축된 재난유형별 전문가 Pool의 구축과 활용이 매우 중요하다. 본 논문에서는 학술콘텐트를 활용하여 재난안전분야 전문가들을 식별 및 분석하고 식별된 재난분야 학술정보와 전문가 정보 시범 서비스를 구현하였으며, 주요 연구결과는 재난안전정보 공유 플랫폼에 연계하여 재난 단계별 전문가 추천 및 서비스에 활용될 계획이다.

• Natural Product Sciences
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• v.22 no.2
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• pp.134-139
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• 2016

Phytochemicals were isolated from leaves of the fiber crop, ramie (Boehmeria nivea, Bn), using open column chromatography and medium pressure liquid chromatography. Their structures were identified as ${\beta}$-sitosterol, (-)-loliolide, rutin, and pyrimidinedione by MS, $^1H$-, and $^{13}C$-NMR spectroscopic analysis. Among them, (-)-loliolide was isolated for the first time from B. nivea. A content analysis of (-)-loliolide in B. nivea collected from different regions and harvest times was conducted by HPLC. The highest content of (-)-loliolide was found in Bn-23 harvested in September. These results will be helpful to use the plant which harvest in September as a high content phytochemical additive in food, health supplements, and medicinal products.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1997.10a
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• pp.115-120
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• 1997

System identification is the task of inferring a mathematical description of a dynamic system from a series of measurements of the system. There are several motives for establishing mathematical descriptions of dynamic systems. Typical applications encompass simulation, prediction, fault diagnostics, and control system design. The paper demonstrates that neural networks can be used effective for the identification of nonlinear dynamical systems. The content of this paper concerns dynamic neural network models, where not all inputs to and outputs from the networks are measurable. Only one model type is treated, the well-known Innovation State Space model(Kalman Predictor). The identification is based only on input/output measurements, so in fact a non-linear Extended Kalman Filter problem is solved. Even for linear models this is a non-linear problem without any assurance of convergence, and in spite of this fact an attempt is made to apply the principles from linear models, an extend them to non-linear models. Computer simulation results reveal that the identification scheme suggested are practically feasible.

• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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• 2001.06a
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• pp.3111-3111
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• 2001

The implementation of NIR and chemometrics in the Pharmaceutical industries is still in strong progress, both regarding qualitative and quantitative applications and beneficial results are seen. Looking at the development so far, NIR will change the pharmaceutical industry even more in the future. This presentation will address the experiences and progress achieved regarding the application and implementation of quantitative methods for determination of content uniformity and assay of tablets with less than 10% w/w of active, using Near Infrared transmittance spectroscopy in combination with PLS. Also qualitative methods for identification of the same tablets by Near Infrared reflectance spectroscopy will be discussed. Four commercial tablet strengths are formulated and produced from two different compositions by direct compression. Three different strengths are dose proportional, i.e. fixed concentration by varying in size. The aim was to replace the conventional primary methods for analysing content uniformity, assay and identification by NIR. Studies were performed on comparing transmittance versus reflectance spectroscopy for both applications on the dose proportional tablets. The model for determination of content uniformity and assay was developed to cover both coated and uncoated tablets, whereas the qualitative model was developed to identify coated tablets only. The impact of the tablet formulation, tablet size and coating, resulted in individual models far each composition The best calibration was achieved using diffuse reflectance for the identification purposes and diffuse transmittance for the quantitative determination of the active content within the tablets. As NIR in combination with other techniques opens up the possibility of total quality management within the production, the transfer of the above-mentioned models from a laboratory based approach to an at-line approach at H.Lundbeck will be addressed too.

• Journal of the Korean Society for information Management
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• v.26 no.3
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• pp.317-333
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• 2009

The role of digital content identification system is being considered as a useful solution for the content management system and service system. Integrated Copyright Number(ICN), only one domestic identifier to the managing of copyright, can provide the service model in the copyright industry, because it include the information of copyright between the creator and the service provider on the digital work. Universal Content Identifier(UCI), has developed on the focus of digital content service, is somewhat lacking on the copyright management, but it is expected that systematical management and distribution system for copyright and digital work to be able to build as that make up for disadvantage with each identifier's advantage by UCI associate with ICN. In this context, This article can suggest the efficiency integrated structure and the service scenario. Therefore it is contribute to the efficient using and the effective running in the digital identification system.

• Journal of the Korean Society for information Management
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• v.26 no.1
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• pp.305-320
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• 2009

The news pages provided through the web contain unnecessary information. This causes low performance and inefficiency of the news processing system. In this study, news content extraction methods, which are based on sentence identification and block-level tags news web pages, was suggested. To obtain optimal performance, combinations of these methods were applied. The results showed good performance when using an extraction method which applied the sentence identification and eliminated hyperlink text from web pages. Moreover, this method showed better results when combined with the extraction method which used block-level. Extraction methods, which used sentence identification, were effective for raising the extraction recall ratio.