• Journal of Korean Society of Archives and Records Management
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• v.15 no.2
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• pp.103-136
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• 2015

The National Assembly Archives of the Republic of Korea has been using the National Assembly Archives and Records Management System, which added some archival function to the Standard Records Management System that they had previously developed. However, the Standard Records Management System has limits in order to reflect all the business functions of the National Assembly Archives, which also acts as an archival institution, because the system had been developed and distributed to perform the function of a records center. Moreover, the current National Assembly Archives and Records Management System focuses on the management of official records transferred in accordance with the regulations. For this reason, it is difficult to register and manage various record types such as records of the members of the National Assembly (related to legislative activities), oral history collected from the National Assembly leader, audiovisual records of proceedings, and so on. As such, this study analyzed the problems of the current National Assembly Archives and Records Management System and conducted case studies of the systems in the National Archives, the Presidential Archives, Changwon City, and the Cultural Heritage Administration. Through this research, it proposed that system functions, metadata, the target system of the National Assembly Archives, and the Records Integrated Management System need a development plan.

• Journal of the Korean Association of Geographic Information Studies
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• v.19 no.1
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• pp.1-11
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• 2016

Climate change is the issue that attracts the most attention in the field of environment, as well as the most challenging task faced by the human race. There are various ways to resolve this issue. South Korea has established the primary and secondary national climate change adaptation plans at the national level, and is making it compulsory for each local government (lower and municipal-level) to establish climate change adaptation plans. Climate change vulnerability assessment plays an essential role in establishing climate change adaptation action plans. However, vulnerability assessment has a difficulty performing individual assessments since the results are produced through complex calculations of multiple impact factors. Accordingly, this study developed a web-based supporting tool(VESTAP) for climate change vulnerability assesment that can be used by lower and municipal-level local governments. The VESTAP consists of impact DB and vulnerability assessment and display tool. The index DB includes total 455 impacts of future climate data simulated with RCP (Representative Concentration Pathways) 4.5 and 8.5, atmospheric environment data, other humanities and social statistics, and metadata. The display tool has maximized convenience by providing various analytical functions such as spatial distribution, bias and schematization of each vulnerability assessment result. A pilot test of health vulnerability assessment by particulate matters in Sejong Metropolitan Autonomous City was performed using the VESTAP, and Bukang-myeon showed the highest vulnerability. By using the developed tool, each local government is expected to be able to establish climate change adaptation action plans more easily and conveniently based on scientific evidence.

• Korean Journal of Plant Resources
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• v.30 no.5
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• pp.481-488
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• 2017

Under circumstances of rapid disappearing of traditional ethnobotanical knowledge, traditional ethnobotanical knowledge surveys are the major step in documenting useful species with a conservation priority. In the ethnobotanical research, the relevance to the survey intensity, ethnobotanical information and plant species richness is the most important research theme. We made up TEK database in south Korea using metadata which had been published by the Korea National Arboretum. We calculated species richness using species richness estimator like ACE, Chao1, Chao2, ICE, Jack 1, Jack 2, and Bootstrap. Species accumulation curves showed each province sampling efforts appeared to be wide range of variance so that Gangwon province need more sampling efforts, and Chungnam province approached a horizontal asymptote earlier. We found heterogeneous patterns in the rarefaction curves of TEK species between gender for each categories of use (medicinal, food and handicrafts). Comparing with regional floral diversities, it was predicted that more diverse species would be found in some provinces by carrying out additional survey.

• Journal of KIISE:Software and Applications
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• v.37 no.12
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• pp.892-908
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• 2010

Services in SOA are typically perceived as black-box to service consumers, and can be dynamically evolved at runtime, and run on a number of unknown and heterogeneous environments. Because of these characteristics of the services, effective and efficient monitoring of various aspects on services is an essential functionality for autonomous management of service. But the problem with or limitation in conventional or existing approaches is, that they focus on services themselves, ignoring the effects by business processes. Consequently, there is a room for service monitoring which provides more useful information of business level by acquisition of only external monitoring data that depend on specific BPEL engine and middleware. Moreover, there is a strong demand to present effective methods to reduce monitoring overhead which can degrade quality of services. EDA can cope with such limitations in SOA by collecting and analyzing events efficiently. In this paper, we first describe EDA benefits in service monitoring, and classify monitorring target, and present an appropriate monitoring method for each monitoring target. Also to provide the applicability of our approach, an event meta-model is defined, and event processing model and architecture based on the meta-model are proposed. And, with the proposed architecture and method, we implement a prototype of an event-driven dynamic monitoring framework which can collect and process internal and external data at runtime. Finally, we present the result of a case study to demonstrate the effectiveness and applicability of the proposed approach.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2003.10a
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• pp.292-295
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• 2003

This paper presents the architecture and its function of Tool server. MPEG-21 will enable all-electronic creation, delivery and trade of digital multimedia content and transparent usage of various content types on network device. Therefore, we can provide access to information and services from almost anywhere at anytime with various terminals and networks. In order to support multimedia delivery chain that contains content creation, production, delivery and consumption, we need some elements to identify, describe, manage and protect the contents. Thus, we define Digital Item Processing(DIP), Digital Item Adaptation(DIA) server and Tool server as primary objects of MPEG-21 multimedia framework. DIP provides a function which creates and consumes Digital Item(DI) as a kind of a digital object by user. DIA server adapts the original DI to the usage environment description sent from the terminal and transmits the adapted DI to the terminal. Tool sewer searches for a tool requested from DIP or DIA and downloads the best tool to DIP or DIA server. In this paper, we present how Tool server is organized and is used among 2 primary objects. The paper is structured as following: Section 1 briefly describes why MPEG-21 is needed and what MPEG-21 wants. We see the basic architecture of tool server and its functionality by each module in section 2. Section 3 explains a scenario that tool server transmits tool to DIP or DIA. The paper concludes in section 4.

• Proceedings of the Korean Information Science Society Conference
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• 2006.10b
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• pp.213-217
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• 2006

기존의 Ontology를 이용한 이미지 검색 시스템이나 간단한 구조를 가진 메타데이터 기반의 분산 이미지 검색 시스템들의 단점들을 극복하기 위해 다양한 이미지 제공자들의 자율성을 보장하면서, Semantic 기반의 이미지 검색을 지원하는 분산 시각미디어 검색 프레임워크인 HERMES(The Retrieval Framework for Visual Media Service)가 제안되었다. 분산 환경에서는 시스템의 규모가 커지면서 사용자들의 상호작용 성능을 떨어뜨리지 않으면서 다수의 동시 사용자들을 처리할 수 있는 확장성(Scalability)이 중요한 이슈가 된다. 제안된 프레임워크에서는 서비스를 사용하는 다수의 사용자들이 Broker 서버에 동시에 접속했을 경우 발생하는 Overhead에 대한 문제를 해결 할 수 없었기 때문에 성능의 저하와 확장성을 고려할 수 없는 문제를 안고 있다. 이런 문제를 해결하기 위해서 Broker 서버의 내부 컴포넌트의 수행시간을 측정하고 이를 주기적으로 수집하여 저장하는 Monitoring System이 추가로 연구되었지만, 수집한 정보를 가공하여 다수의 Broker 서버에 대한 부하를 분산하는 알고리즘은 제공되지 않았다. 본 논문에서는 다수의 동시 사용자들이 접속했을 경우에도 성능의 저하 없이 비슷한 수준의 서비스를 제공하기 위해서 Broker 서버를 증설하여 Monitoring System으로부터 각각의 Broker 내부 컴포넌트의 수행시간을 측정하여 저장하고, 저장된 데이터에 대하여 각 Broker들에 대한 우선순위를 결정하는 테이블을 작성한다. 사용자로부터 Query를 입력받는 User Interface는 Broker의 Ranking Table을 참조하여 다수의 Query 수행을 여러 서버로 분산처리하게 함으로써 성능에 대한 신뢰성을 향상 시킬 수 있는 Load Balancing System을 제안한다.할 때 가장 효과적인 라우팅 프로토콜이라고 할 수 있다.iRNA 상의 의존관계를 분석할 수 있었다.수안보 등 지역에서 나타난다 이러한 이상대 주변에는 대개 온천이 발달되어 있었거나 새로 개발되어 있는 곳이다. 온천에 이용하고 있는 시추공의 자료는 배제하였으나 온천이응으로 직접적으로 영향을 받지 않은 시추공의 자료는 사용하였다 이러한 온천 주변 지역이라 하더라도 실제는 온천의 pumping 으로 인한 대류현상으로 주변 일대의 온도를 올려놓았기 때문에 비교적 높은 지열류량 값을 보인다. 한편 한반도 남동부 일대는 이번 추가된 자료에 의해 새로운 지열류량 분포 변화가 나타났다 강원 북부 오색온천지역 부근에서 높은 지열류량 분포를 보이며 또한 우리나라 대단층 중의 하나인 양산단층과 같은 방향으로 발달한 밀양단층, 모량단층, 동래단층 등 주변부로 NNE-SSW 방향의 지열류량 이상대가 발달한다. 이것으로 볼 때 지열류량은 지질구조와 무관하지 않음을 파악할 수 있다. 특히 이러한 단층대 주변은 지열수의 순환이 깊은 심도까지 가능하므로 이러한 대류현상으로 지표부근까지 높은 지온 전달이 되어 나타나는 것으로 판단된다.의 안정된 방사성표지효율을 보였다. $^{99m}Tc$-transferrin을 이용한 감염영상을 성공적으로 얻을 수 있었으며, $^{67}Ga$-citrate 영상과 비교하여 더 빠른 시간 안에 우수한 영상을 얻을 수 있었다. 그러므로 $^{99m}Tc$-transierrin이 감염 병소의 영상진단에 사용될 수 있을 것으로 기대된다.리를 정량화 하였다. 특히 선조체에서의 도파민 유리에 의한 수용체 결합능의 감소는 흡연에 의한 혈중 니코틴의 축적 농도와 양의 상관관계를 보였다(rho=0.9, p=0.04). 결론: $[^{11}C]raclopride$ PET을 이용하여 비흡연 정

• Journal of KIISE:Computing Practices and Letters
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• v.13 no.1
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• pp.11-23
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• 2007

In this paper, we design and implement a framework based on Web Services for effective management of the profiles that were proposed to provide a user with personalized service. The profiles must be constituted the related information of the user and could be exchanged according to cyclic.acyclic or event among user's device, profile repository and service server for providing the user with personalized service. The profiles also must be supplied the services providers that need to the profiles for the personalized service. The profile framework is necessary to provide the functions like this for managing effectively of the personalized service. The proposed framework used the Web Services for exchanging and providing the profile regardless the various devices and platform. The framework also was applied the metadata constitute method and dynamic constitute method for managing effectively of the profile. The result of experiment using proposed framework was effective process and management of the profile and could exchange the profile with regardless of platform and device. The implemented system using the proposed framework was foundation of providing the personalized services with a user by through a effective management function of the profile.

• The KIPS Transactions:PartB
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• v.16B no.3
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• pp.225-232
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• 2009

Author name disambiguation is essential for improving performance of document indexing, retrieval, and web search. Author name disambiguation resolves the conflict when multiple authors share the same name label. This paper introduces a novel approach which exploits ontologies and WordNet-based category utility for author name disambiguation. Our method utilizes author knowledge in the form of populated ontology that uses various types of properties: titles, abstracts and co-authors of papers and authors' affiliation. Author ontology has been constructed in the artificial intelligence and semantic web areas semi-automatically using OWL API and heuristics. Author name disambiguation determines the correct author from various candidate authors in the populated author ontology. Candidate authors are evaluated using proposed WordNet-based category utility to resolve disambiguation. Category utility is a tradeoff between intra-class similarity and inter-class dissimilarity of author instances, where author instances are described in terms of attribute-value pairs. WordNet-based category utility has been proposed to exploit concept information in WordNet for semantic analysis for disambiguation. Experiments using the WordNet-based category utility increase the number of disambiguation by about 10% compared with that of category utility, and increase the overall amount of accuracy by around 98%.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.2
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• pp.237-243
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• 2011

Various standard terminologies in medical field are composed individually to different structure. Therefore, information on crosswalking between the terminologies is needed to combine and use the terminologies. Lots of mapping tools have been developed and used to create the information. However, since those tools deal with specific terminologies, the information is restrictly created. To overcome this problem, some tools have been developed, which perform mapping tasks by composing various terminologies. However, the tools also have difficulty of composing automatically the terminologies because the terminologies have different structures. Therefore, in this paper, we propose a method for composing and using the terminologies in the developed mapping system with keeping the original structure of the terminologies. In the proposed method, additional terminologies could be added on the mapping system and used by making metadata involving information on location and structure of the terminologies. And the mapping system could cope flexibly with the changes of the structure or context of the terminologies. Moreover, various types of mapping information could be defined and created in the system because mapping data are constructed as triplets in ontology. Therefore, the mapping data can be transformed and distributed in different formats such as OWL, RDF, and Excel. Finally, we confirmed the usefulness of the mapping system based on the proposed method through the experiments about creating mapping data.

• Korean Journal of Remote Sensing
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• v.35 no.6_1
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• pp.945-957
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• 2019

In this study, we propose a coarse to fine image registration method for eliminating geometric error between images over agricultural areas acquired using Unmanned Aerial Vehicle (UAV). First, images of agricultural area were acquired using UAV, and then orthophotos were generated. In order to reduce the probability of extracting outliers that cause errors during image registration, the region of interest is selected by using the metadata of the generated orthophotos to minimize the search area. The coarse image registration was performed based on the extracted tie-points using the Speeded-Up Robust Features (SURF) method to eliminate geometric error between orthophotos. Subsequently, the fine image registration was performed using tie-points extracted through the Mutual Information (MI) method, which can extract the tie-points effectively even if there is no outstanding spatial properties or structure in the image. To verify the effectiveness and superiority of the proposed method, a comparison analysis using 8 orthophotos was performed with the results of image registration using the SURF method and the MI method individually. As a result, we confirmed that the proposed method can effectively eliminated the geometric errors between the orthophotos.