• Journal of Information Management
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• v.40 no.3
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• pp.151-176
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• 2009

The purpose of this study is to propose effective management plan for official seal guaranteeing authenticity of archival records. For this, this paper attempts to investigate current management conditions of central governments and National Archives. First, disclosure of information on official seal register in central government was requested. In addition, surveys and interviews with person in charge were carried out. Additionally, official seal lists of National Archives were analyzed and the person in charge was interviewed. Based on these, this paper proposed management plans of official seal such as a periodic inspection of management conditions, training programs for the person in charge, selective acquisition, reporting of the current state, improvement of law system, improvement of document formats, and establishment of an electronic seal management system, etc.

• Journal of Information Management
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• v.37 no.4
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• pp.105-124
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• 2006

The nuclear knowledge management is now being operated in the KAERI and also actively practiced in other member states of the IAEA. The INIS secretariat leads the knowledge management. As the traditional service areas of librarians are decreasing, the knowledge management is considered as a promising service area replacing the traditional librarian's role. This new area is in Blue Ocean and needs to great concern and understanding. INIS is the world's leading information system on the peaceful uses of nuclear energy. INIS is operated by the IAEA in collaboration with its member states and cooperating international organizations. INIS has more than 2.7 million items and provides users a comprehensive information reference service for literature in nuclear science and technology. The input amount ranks fifth in the world and it operates the INIS 2 host site. INIS in Korea is playing a leading role in the IAEA.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.10
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• pp.4411-4417
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• 2011

Degenerative brain diseases including Alzheimer's diseases, Parkinson's diseases increase in frequency with age. They are amongst the most costly and devastating diseases to patients and their families. Therefore developing therapies for degenerative brain diseases is of the highest priority. Recently therapeutics for these diseases have undergone scrutiny by many clinical trials according to the advances of cellular and molecular neurobiology. This review is focused on studies investigating the current therapeutic strategies already undergone different stage of clinical trials and recent R&D trend by nations through patent analysis on treatments for degegerative brain diseases.

• Journal of the Korean Association of Geographic Information Studies
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• v.27 no.1
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• pp.99-114
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• 2024

Domestic coastal debris monitoring encounters challenges due to labor-intensive methods and limited survey scope. Consequently, research is utilizing remote sensing techniques to enhance efficiency in data collection. However, standards for domestic remote sensing based monitoring methods remain insufficient. In this study, we conducted a meta-analysis of 19 coastal debris monitoring studies utilizing drones and other remote sensing devices. We analyzed data collection methods, collected data information, monitoring target details, monitoring status, detection targets, and utilization models. Based on our meta-analysis results, we proposed monitoring criteria, recommended items, and performance standards for monitoring coastal debris using drones. Our findings define necessary conditions and standards for establishing operational guidelines for coastal debris monitoring using drones. Furthermore, we anticipate that incorporating foreign case analyses and field application results will enable the development of national-level guidelines for coastal debris monitoring utilizing remote sensing devices.

• Journal of Cadastre & Land InformatiX
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• v.49 no.1
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• pp.85-101
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• 2019

Recently, thank to the popularization of light-weight drone through the significant developments in computer technologies as well as the advanced automated procedures in photogrammetry, Unmanned Aircraft Systems have led to a growing interest in industry as a whole. Documentation, maintenance, and restoration projects of large scaled cultural property would required accurate 3D phenomenon modeling and efficient visual inspection methods. The object of this study verify on the accuracies achieved of 3D phenomenon reconstruction as well as on the validity of the preservation, maintenance and restoration of large scaled cultural property by UAS photogrammetry. The test object is cltural heritage(treasure 1324) that is the rock-carved standing Bodhisattva in Soraesan Mountain, Siheung, documented in Goryeo Period(918-1392). This standing Bodhisattva has of particular interests since it's size is largest stone Buddha carved in a rock wall and is wearing a lotus shaped crown that is decorated with arabesque patterns. The positioning accuracy of UAS photogrammetry were compared with non-target total station survey results on the check points after creating 3D phenomenal models in real world coordinates system from photos, and also the quantified informations documented by Culture Heritage Administration were compared with UAS on the bodhisattva image of thin lines. Especially, tests the validity of UAS photogrammetry as a alternative method of visual inspection methods. In particular, we examined the effectiveness of the two techniques as well as the relative fluctuation of rock surface for about 2 years through superposition analysis of 3D points cloud models produced by both UAS image analysis and ground laser scanning techniques. Comparison studies and experimental results prove the accuracy and efficient of UAS photogrammetry in 3D phenomenon modeling, maintenance and restoration for various large-sized Cultural Heritage.

• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.343-345
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• 2007

This thesis improved the DB building process for IEEE conference proceedings that is being serviced in National Digital Science Library(NDSL) of KISTI and implemented the resulting system. Raw data format provided by the each publisher is different and change from time to time, so NDSL have to analyze and fix the programming. And it causes the service delays. This paper modularize the program to minimize dependence on the program due to the changes of raw data format.

• KIISE Transactions on Computing Practices
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• v.22 no.12
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• pp.663-674
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• 2016

Traditional supercomputing services suffer from limited accessibility and low utilization in that users(researchers) may perform computational executions only using terminal-based command line interfaces. To address this problem, in this paper, we provide the design and implementation details of National supercomputing service framework. The proposed framework supports all the fundamental primitive functions such as user management/authentication, heterogeneous computing resource management, HPC (High Performance Computing) job management, etc. so that it enables various 3rd-party applications to be newly built on top of the proposed framework. Our framework also provides Web-based RESTful OpenAPIs and the abstraction interfaces of job schedulers (as well as bundle scheduler plug-ins, for example, LoadLeveler, Open Grid Scheduler, TORQUE) in order to easily integrate the broad spectrum of heterogeneous computing clusters. To show and validate the effectiveness of the proposed framework, we describe the best practice scenario of high energy physics Lattice-QCD as an example application.

• Journal of Korean Society of Archives and Records Management
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• v.22 no.4
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• pp.151-174
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• 2022

Archival descriptions are significant in utilizing archives, as they are important tools for archival research and use. Meanwhile, content services are key services in modern society, where the use of archives and the importance of content are increasing. In this study, archival descriptions and content services were not viewed as different areas but as a relationship that could advance complementarily. This is because if archival descriptions are rich and well-prepared, high-quality content can be produced based on them, and archival descriptions can be enriched if well-made content is supplemented or linked to the descriptions again. This study intends to reveal the complementary relationship between archival descriptions and content services and propose an advancement plan based on this relationship. As such, the current status and problems of the archival descriptions and content services of the National Archives of Korea and the Presidential Archives website were analyzed, and the UK's National Archives (TNA), the USA's National Archives and Records Administration (NARA), the Seoul Metropolitan Archives, and the Korea Democracy Foundation's Open Archives were selected as exemplary cases for comparison. Based on the implications of the six analyzed institutions, an advancement plan for archival descriptions and content services, as well as a complementary development plan, was proposed. Through this study, it is expected that archival descriptions and content services will develop in a mutually complementary direction.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 1999.11a
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• pp.509-515
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• 1999

신체를 구성하는 여러 가지 요소 중에서 인간이 일상생활을 하는 데에는 신진대사를 일정하게 유지하기 위한 인체내의 여러 가지 전달물질들이 그 구성에 맞게 역할을 수행하여야 한다. 그러나, 만약 그 구성 비율이 바뀔 때에는 인체 내에 이상이 발생하게 된다. 그 대표적인 예로는 운동을 심하게 하였을 경우 갈증과 근육의 피로감이 몰려오게 되는데 이는 세포내의 이온농도의 변화에 의한 것이며 이때 물, 스포츠 이온 음료 등을 섭취한다. 순간적으로 그 증상이 회복되지는 않지만 신경계 내에서 회복하는데 에는 많은 시간이 소요된다. 생리학, 임상적으로 나트륨과 물은 신진대사에 밀접한 연관이 있다. 인체의 나트륨은 음식물의 섭취량과 나트륨의 생리작용사이의 균형에 좌우된다. 건강한 상태에서 나트륨의 생리적인 손실은 무시할 만 하며 나트륨 생리작용은 음식물의 섭취량과 밀접한 관련이 있다. 칼륨은 단지 전체 신경계 용질의 일부이기 때문에 이것은 세포의 체적과 세포 용질의 삼투현상을 결정하는 주요한 것이다. 더욱더 칼륨은 신진대사 과정의 많은 중요한 변수가 되며, 세포밖의 칼륨은 전체중에 매우 작은 일부이긴 하지만 신경근육 작용에 매우 큰 영향을 준다. 세포안과 밖의 칼륨의 농도 비율은 흥분성 조직내의 막 전위의 주요한 결정요소가 된다. 본연구에서는 세포막 설계 후 시뮬레이션을 통한 정상상태의 세포막 전위의 활동전위 전달 특성과 Na, K의 이온 농도를 변화시킬 경우의 세포막 전위의 활동저위 전달 특성곡선을 비교 관찰하여 운동 생리학적인 신경세포내의 전달특성 메카니즘을 이해, 분석하였다.서의 속도를 최소한으로 줄이면서 스케줄링에 의해 시간 문제를 해결하는 방법을 제시하도록 한다. 이는 기초과학 수준이 높은 북방권 국가들의 과학자들이 주로 활용되고 있다는 점에서도 잘 알 수 있으며 우리의 과학기술 약점을 보완하는 원천으로써 외국인 연구 인력이 대안이 되고 있음을 시사한다. 본 연구에서는 한국 연구 조직에서 일하는 외국인 연구자들의 동기 및 성과에 영향을 미치는 많은 요인들을 확인할 수 있었다. 상관관계, 분산분석, 회귀분석 등을 통해 활용 성과에 미치는 영향 요인들을 도출하였다. 설문 분석을 통하여 동기 및 성과 사이에는 강한 상관관계가 존재하는 것을 확인할 수 있었으며 이는 전통적인 동기 이론들과 부합한다. 대부분의 변수가 동기 및 성과에 동시에 영향을 미치는 것으로 조사되었으며 그중에서도 조직 협력 문화, 외국인 연구자의 의사소통 및 협력성, 외국인 연구자의 연구 능력 관련 변수들 및 연구 프로젝트의 기술수명주기, 외국인 연구자의 기존 기술지식의 흡수 등이 가장 중요한 변수로 나타났다. 이는 우리가 주로 중국 및 러시아 과학자들을 활용하여 상업화하는 외국인 연구인력 활용 패턴과도 일치하는 결과이다. 즉 우호적인 조직문화를 가지고 있는 연구 조직에서, 이미 과학기술 지식을 많이 가지고 있고 연구 능력도 높은 외국인 과학기술자를, 한국에서 기술이 태동 또는 성장하고 있는 연구 분야에서 활용하는 것이 가장 성과가 좋다는 사실을 확인시켜 주고 있다. 국내에서 최초로 수행된 본 연구는 외국인 연구 인력의 활용 성과가 매우 높으며, 우리의 과학기술혁신시스템을 보완하는

• Journal of Intelligence and Information Systems
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• v.27 no.4
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• pp.73-95
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• 2021

This study uses Node2vec graph embedding method and Light GBM link prediction to explore undeveloped export candidate countries in Korea's food and beverage industry. Node2vec is the method that improves the limit of the structural equivalence representation of the network, which is known to be relatively weak compared to the existing link prediction method based on the number of common neighbors of the network. Therefore, the method is known to show excellent performance in both community detection and structural equivalence of the network. The vector value obtained by embedding the network in this way operates under the condition of a constant length from an arbitrarily designated starting point node. Therefore, it has the advantage that it is easy to apply the sequence of nodes as an input value to the model for downstream tasks such as Logistic Regression, Support Vector Machine, and Random Forest. Based on these features of the Node2vec graph embedding method, this study applied the above method to the international trade information of the Korean food and beverage industry. Through this, we intend to contribute to creating the effect of extensive margin diversification in Korea in the global value chain relationship of the industry. The optimal predictive model derived from the results of this study recorded a precision of 0.95 and a recall of 0.79, and an F1 score of 0.86, showing excellent performance. This performance was shown to be superior to that of the binary classifier based on Logistic Regression set as the baseline model. In the baseline model, a precision of 0.95 and a recall of 0.73 were recorded, and an F1 score of 0.83 was recorded. In addition, the light GBM-based optimal prediction model derived from this study showed superior performance than the link prediction model of previous studies, which is set as a benchmarking model in this study. The predictive model of the previous study recorded only a recall rate of 0.75, but the proposed model of this study showed better performance which recall rate is 0.79. The difference in the performance of the prediction results between benchmarking model and this study model is due to the model learning strategy. In this study, groups were classified by the trade value scale, and prediction models were trained differently for these groups. Specific methods are (1) a method of randomly masking and learning a model for all trades without setting specific conditions for trade value, (2) arbitrarily masking a part of the trades with an average trade value or higher and using the model method, and (3) a method of arbitrarily masking some of the trades with the top 25% or higher trade value and learning the model. As a result of the experiment, it was confirmed that the performance of the model trained by randomly masking some of the trades with the above-average trade value in this method was the best and appeared stably. It was found that most of the results of potential export candidates for Korea derived through the above model appeared appropriate through additional investigation. Combining the above, this study could suggest the practical utility of the link prediction method applying Node2vec and Light GBM. In addition, useful implications could be derived for weight update strategies that can perform better link prediction while training the model. On the other hand, this study also has policy utility because it is applied to trade transactions that have not been performed much in the research related to link prediction based on graph embedding. The results of this study support a rapid response to changes in the global value chain such as the recent US-China trade conflict or Japan's export regulations, and I think that it has sufficient usefulness as a tool for policy decision-making.