• Journal of Intelligence and Information Systems
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• v.17 no.3
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• pp.203-219
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• 2011

Previously common users just want to watch the video contents without any specific requirements or purposes. However, in today's life while watching video user attempts to know and discover more about things that appear on the video. Therefore, the requirements for finding multimedia or browsing information of objects that users want, are spreading with the increasing use of multimedia such as videos which are not only available on the internet-capable devices such as computers but also on smart TV and smart phone. In order to meet the users. requirements, labor-intensive annotation of objects in video contents is inevitable. For this reason, many researchers have actively studied about methods of annotating the object that appear on the video. In keyword-based annotation related information of the object that appeared on the video content is immediately added and annotation data including all related information about the object must be individually managed. Users will have to directly input all related information to the object. Consequently, when a user browses for information that related to the object, user can only find and get limited resources that solely exists in annotated data. Also, in order to place annotation for objects user's huge workload is required. To cope with reducing user's workload and to minimize the work involved in annotation, in existing object-based annotation automatic annotation is being attempted using computer vision techniques like object detection, recognition and tracking. By using such computer vision techniques a wide variety of objects that appears on the video content must be all detected and recognized. But until now it is still a problem facing some difficulties which have to deal with automated annotation. To overcome these difficulties, we propose a system which consists of two modules. The first module is the annotation module that enables many annotators to collaboratively annotate the objects in the video content in order to access the semantic data using Linked Data. Annotation data managed by annotation server is represented using ontology so that the information can easily be shared and extended. Since annotation data does not include all the relevant information of the object, existing objects in Linked Data and objects that appear in the video content simply connect with each other to get all the related information of the object. In other words, annotation data which contains only URI and metadata like position, time and size are stored on the annotation sever. So when user needs other related information about the object, all of that information is retrieved from Linked Data through its relevant URI. The second module enables viewers to browse interesting information about the object using annotation data which is collaboratively generated by many users while watching video. With this system, through simple user interaction the query is automatically generated and all the related information is retrieved from Linked Data and finally all the additional information of the object is offered to the user. With this study, in the future of Semantic Web environment our proposed system is expected to establish a better video content service environment by offering users relevant information about the objects that appear on the screen of any internet-capable devices such as PC, smart TV or smart phone.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.05a
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• pp.295-298
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• 2010

There are three types of survey research system, telephone surveys, online surveys, interviews and so on. Currently most of the survey data have been verified by hand-collecting state in korea. Semi-automated research systems, some companies are using imported from abroad. This paper is the study on the design and implementation of linked research system for global standardization. The system is optimized through customizing for local conditions, as well as professionals for telephone surveys, online surveys, interviews even a normal user can enter the questionnaire easily and quickly. The result data is passed to the customer quickly and accurately. In particular, this system is based on automatic data input and collected provides best efficient analysis and statistics. Office programs and advanced statistical program SPSS is compatible with the maximum benefits for proposed system. Additionally, to achieve the import substitution effect through localization and to propose a global standard the proposed system is designed and implemented.

• Proceedings of the Korea Contents Association Conference
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• 2013.05a
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• pp.73-74
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• 2013

차세대 웹 기술인 시맨틱 웹(Semantic Web)이 각광을 받음에 따라, 시맨틱 웹과 관련된 다양한 기술들이 활발히 연구되고 있다. 특히, 시맨틱 웹의 핵심 사례인 링크드 데이터(Linked Data)는 웹으로 접근 가능한 형태의 URI로 시맨틱 데이터를 표현하고 서로 연결함으로써, 오픈 데이터로서 상호운용성 극대화 및 데이터의 통합을 용이하게 한다. 이는 바이오인포매틱스 기술 발전과 결합하여 웹에서 바로 이용 가능한 많은 의학 링크드 데이터 생산과 이를 활용한 다양한 의학용어 검색 서비스 개발 결과를 가져왔다. 하지만, 기존 의학용어 검색 서비스들은 각 기관이 보유하고 있는 의학정보를 기반으로 서비스되기 때문에 다양하고 정확한 정보를 얻기 위해서는 많은 시간과 노력을 투자해야 한다. 그래서 본 논문에서는 척추 분야 의학 관련 링크드 데이터를 활용해 정확도가 높고 확장이 용이한 척추정보 검색 서비스를 제안한다.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• v.25 no.3
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• pp.82-92
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• 2021

In this study, we present a fast option pricing method for four asset equity-linked securities (ELS) using Brownian bridge. The proposed method is based on Monte Carlo simulation (MCS) and a Brownian bridge approach. Currently, three asset ELS is the most popular ELS among multi-asset ELSs. However, four asset ELS emerged as an alternative to three asset ELS under low interest rate environment to give higher coupon rate to investors. We describe in detail the computational solution algorithm for the four underlying asset step-down ELS. The numerical tests confirm the accuracy and speed of the method.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.1
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• pp.109-116
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• 2021

Since RDF (Resource Description Framework) triples are modeled as graph, we cannot directly adopt existing solutions in relational databases and XML technology. In order to store, index, and query Linked Data more efficiently, we propose a convergence indexing method combined R*-tree and K-dimensional trees. This method uses a hybrid storage system based on HDD (Hard Disk Drive) and SSD (Solid State Drive) devices, and a separated filter and refinement index structure to filter unnecessary data and further refine the immediate result. We perform performance comparisons based on three standard join retrieval algorithms. The experimental results demonstrate that our method has achieved remarkable performance compared to other existing methods such as Quad and Darq.

• Journal of the Korean Association of Geographic Information Studies
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• v.9 no.4
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• pp.60-70
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• 2006

National atlas map for provide various information is one part of National territorial Statatics Survey but National atlas map in 2004 year don't have stability and ability. National territorial Statatics Survey in 2005 years have octuple data compare with data in 2004 years but have only one map. One map is going to provide with stability and ability. We don't use DBMS, But We make a similarly struct in file based program. We programmed system of dynamic-linked data with spatial data. To dynamic-linked system, we make search engine to based index struct and make combobox search system. spatial data only have index codes(year, national terrial indicator, area). If spatial data request specfied data, search engine search index code and provide DB data. New system is middle step of using DBMS. We redraw map for display real Korea area (with dokdo). New map is shape and similar Korea map.

• Journal of Preventive Medicine and Public Health
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• v.55 no.3
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• pp.253-262
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• 2022

We aimed to review the current data composition of the Korean Tuberculosis and Post-Tuberculosis Cohort, which was constructed by linking the Korean Tuberculosis Surveillance System (KNTSS; established and operated by the Korean Disease Control and Prevention Agency since 2000) and the National Health Information Database (NHID; established by the National Health Insurance Service in 2012). The following data were linked: KNTSS data pertaining to patients diagnosed with tuberculosis between 2011 and 2018, NHID data of patients with a history of tuberculosis and related diseases between 2006 and 2018, and data (obtained from the Statistics Korea database) on causes of death. Data from 300 117 tuberculosis patients (177 206 men and 122 911 women) were linked. The rate of treatment success for new cases was highest in 2015 (86.7%), with a gradual decrease thereafter. The treatment success rate for previously treated cases showed an increasing trend until 2014 (79.0%) and decreased thereafter. In total, 53 906 deaths were confirmed among tuberculosis patients included in the cohort. The Korean Tuberculosis and Post-Tuberculosis Cohort can be used to analyze different measurement variables in an integrated manner depending on the data source. Therefore, these cohort data can be used in future epidemiological studies and research on policy-effect analysis, treatment outcome analysis, and health-related behaviors such as treatment discontinuation.

• Journal of the Korean Society for information Management
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• v.31 no.4
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• pp.249-266
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• 2014

In South Korea, systems related to the provision of public data were recently implemented. As a result, policy changes have been made that are headed in the direction of actively providing open access to data held by public institutions, such as government agencies and local municipalities. The purpose of the open I will be divided into two broad. To ensure the transparency of government operations, and is intended to satisfy the right to know the people. The other one is to create national interest by utilizing the public data as one country endowment assets. In this study, we analyze the open situation of public data, were presented the improvement measures. Range of research, the public data that local government owns, to determine to have a central information and other limitations and characteristics, Seoul the beginning to the seventeen regional support municipality 228 that you have held for city districts were census. According to the research results, local governments, themselves produced, is a relatively reluctant to disclosure and understanding of the list of public data that are holdings. According to the research results, local governments, themselves produced, is a relatively reluctant to disclosure and understanding of the list of public data that are holdings, also emphasizes the conservative value than take advantage of value have had. Therefore, it was determined that there is a need to resolve several issues through disclosure via a linked data format as a strategy to increase the openness and utilization of local public data.

• Journal of Korea Multimedia Society
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• v.9 no.11
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• pp.1421-1434
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• 2006

Spatial data warehouses provide analytical information for decision supports using SOLAP (Spatial On-Line Analytical Processing) operations. Many researches have been studied to reduce analysis cost of SOLAP operations using pre-aggregation methods. These methods use the index composed of fixed size nodes for supporting the concept hierarchy. Therefore, these methods have many unused entries in sparse data area. Also, it is impossible to support the concept hierarchy in dense data area. In this paper, we propose a dynamic pre-aggregation index method based on the spatial hierarchy. The proposed method uses the level of the index for supporting the concept hierarchy. In sparse data area, if sibling nodes have a few used entries, those entries are integrated in a node and the parent entries share the node. In dense data area, if a node has many objects, the node is connected with linked list of several nodes and data is stored in linked nodes. Therefore, the proposed method saves the space of unused entries by integrating nodes. Moreover it can support the concept hierarchy because a node is not divided by linked nodes. Experimental result shows that the proposed method saves both space and aggregation search cost with the similar building cost of other methods.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.7
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• pp.1305-1310
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• 2007

ePosition is a technology that can provide the spacial position of the earth to the information of ePosition ID through the Internet. It is serving the information of land location based on the Internet using the ePosition technology now, but it needs the service technique which can supply the marine data and the information of maritime position. Moreover, to support the information service of marine position, it needs the ENC linked technique based on S-57 that is an IHO transfer standard for digital hydrographic data. In this paper, therefore, it develops a linkage method for applying and utilizing the ePosition technology to ENC data, and supplements the base technology for applying it to marine related fields. As study method, firstly, this paper analyses ENC data model and structure, and converses for processing ENC file to ePosition data. Lastly, it derives the interconnection method with ePosition database and shows the ePosition service application based on the linked data and its validity.