• Journal of the Korea Institute of Military Science and Technology
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• v.19 no.3
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• pp.346-355
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• 2016

In this paper, we propose a method to analyze the clusters of RF threats emitting electrical signals based on collected signal variables in integrated electronic warfare environments. We first analyze the signal variables collected by an electronic warfare receiver, and construct a model based on variables showing the properties of threats. To visualize the distribution of RF threats and reversely identify them, we use k-means clustering algorithm and self-organizing map (SOM) algorithm, which are belonging to unsupervised learning techniques. Through the resulting model compiled by k-means clustering and SOM algorithms, the RF threats can be classified into one of the distribution of RF threats. In an experiment, we measure the accuracy of classification results using the algorithms, and verify the resulting model that could be used to visually recognize the distribution of RF threats.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.38 no.6
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• pp.681-688
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• 2020

The Under Space Integrated Map has been constructed consistently from '15 construction projects until the present time in an effort to implement the "ground sinking prevention method" for the purpose of strengthening underground safety management. The constructed Under Space Integrated Map is utilized to provide information to the person in charge at local government through application of the system of underground information based on the administrative network and to deliver this to specialized underground-safety-effects -evaluation organizations through map extraction based on a floor plan. It suffers from a limitation in its practical use, however, since information is only provided, without promoting a separate renewal project. Although in Section 1 of Article 42 in the Special Law Concerning Underground Safety Management the content pertaining to submission obligations of completion drawings related to underground information including change and renewal are stated explicitly in order to solve this problem, submission is not sufficient since a submission window based only on the administrative network is operated. Accordingly, the Ministry of Land, Infrastructure, and Transport constructed an online system for submitting completion drawings, in an attempt to change the method by which entities involved in underground development directly submitted completion drawings. In this study, a DB standard relating to submitting completion drawings was designed and applied in order to construct an auto-renewal system based on submitted completion drawings, which will be extended to cover the range to underground structures hereafter.

• Asian review of World Histories
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• v.4 no.1
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• pp.83-123
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• 2016

We describe a vision of historical analysis at the world scale, through the digital assembly of historical sources into a cloud-based database, where machine-learning techniques can be used to summarize the database into a time-integrated actor-to-actor complex network. Using this time-integrated network as a template, we then apply the method of automatic narratives to discover key actors ('who'), key events ('what'), key periods ('when'), key locations ('where'), key motives ('why'), and key actions ('how') that can be presented as hypotheses to world historians. We show two test cases on how this method works. To accelerate the pace of knowledge discovery and verification, we describe how historians would interact with these automatic narratives through an online, map-based knowledge aggregator that learns how scholars filter information, and eventually takes over this function to free historians from the more important tasks of verification, and stitching together coherent storylines. Ultimately, multiple coherent storylines that are not necessary compatible with each other can be discovered through human-computer interactions by the map-based knowledge aggregator.

• Journal of Internet Computing and Services
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• v.15 no.6
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• pp.99-106
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• 2014

Generation and analysis methods have been proposed in recent years, such as using a natural language and formal language processing, artificial intelligence algorithms based knowledge model is effective meaning. its semantic based knowledge model has been used effective decision making tree and problem solving about specific context. and it was based on static generation and regression analysis, trend analysis with behavioral model, simulation support for macroeconomic forecasting mode on especially in a variety of complex systems and social network analysis. In this study, in this sense, integrating knowledge-based models, This paper propose a text mining derived from the inter-Topic model Integrated formal methods and Algorithms. First, a method for converting automatically knowledge map is derived from text mining keyword map and integrate it into the semantic knowledge model for this purpose. This paper propose an algorithm to derive a method of projecting a significant topic map from the map and the keyword semantically equivalent model. Integrated semantic-based knowledge model is available.

• Journal of Cadastre & Land InformatiX
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• v.51 no.2
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• pp.35-49
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• 2021

In order to manage the underground spatial information in systematic and effective way, production of an integration underground spatial information map is essential process. The government has been making efforts to expand manage the production of 3D underground spatial integrated map. In recent the GPR is actively used for exploring underground facilities in non-exploring area and sinkhole. For achieving the research objectives presenting the accuracy of verification standard in underground spatial information surveying using GPR, the related legislation standard, the experiment resutls and international criteria have been analyzed. From this research it is found that the accuracy standard has been made by the related academic society(USA) and association(UK) in foreign counties. It is recommended that indicate the verification standard with number and percent together considering the characteristics of GPR.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• v.1
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• pp.519-524
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• 2006

This paper describes an application of information presentation based geographic map for maritime information, including navigation information. The work is motivated by the need to prepare maritime information representation and distribution for future generation Web network technology. This works consist of map generation using GML and application to maritime information. GML 3.0 became an adopted specification of the Open Geospatial Consortium(OGC) in January 2003, and is rapidly emerging as the world standard for the encoding, transport and storage of all forms of geographic information. This paper looks at the application of GML to one of the more challenging areas of maritime information. Specific features of GML of interest to maritime information provider are discussed and then illustrated through a series of maritime information case studies. The first phase of the work consists of the construction of GML application schema for using as a base map of maritime information. Maritime information is acquired from multiple sources, including standards documents, database schemas, lexicons, collections of symbol definition. The sources of GML ontological knowledge and the contribution of each source to the overall ontology are described in this paper. In the second phase, the prepared GML is used to create a prototype of the mixed maritime information as a base map - for tagging documents within the maritime domain. An overview of this prototype is included. One application area for these information elements described here is the integrated retrieval of maritime information from diverse sources, ranging from Web sites to nautical chart databases and text documents.

• Korean Journal of Oriental Medicine
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• v.12 no.2 s.17
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• pp.47-62
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• 2006

This research is intended to analyze the necessity of the integrated organization for the performance in order to the extension of scale and the systematic promotion concerning to the Korean medicine informational project, and to research the promotional method of Korean Medicine information through the constitution of organization for preparing the informational basic. There are three main important subjects to be done in this research project. The initial issue is to devise a comprehensive and systematic plan of Korean medicine information according to the Korean Medicine Rearing Raw('03. 8). Furthermore, it is necessary to reinforce the integrated informational ability of Organizations concerning to the Korean Medicine. Finally, with the above works accomplished, the overall standard of Korean Medicine Information should be settled. Initially, we compose an advisory committee of the Korean Medicine Information in the first year. The members of the committee include the informational coordinates of related government agencies, the experts in Korean Medicine Information, and specialists in the domains of computer science and information. In the next phase, we derive the promotional strategy for 'Center for Korean Medicine Information'. In other words, by means of analyzing the current issues and outstanding problems of on-going research projects and environments, the ultimate directions of the whole activities are established. Also, we build the medium and long-range road map of Korean Medicine Information Research by setting strategy for the policy projects related to the area. With the various research activities in this project, we can achieve the following practical strategic benefits. Firstly, we can lay a foundation for the Korean Medicine Information by establishing the fundamental plan for 'Korean Medicine Information Center'. Secondly, information strategic projects about 'Korean Medicine Information Center'. Secondly information strategic projects about 'Korean Medicine Information Development' can be performed in more systematic fashion and promoted by stages. Finally, by confirming the contents of the Korean Medicine of KMS system, we invent an opportunity of new project in the field of the Korean Medicine Information by means of practicing and managing the 'korean Medicine Information Custom Service'.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.11c
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• pp.1903-1906
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• 2002

Video GIS is a spatial information system where video is used and integrated with map or other media such as 3D graphics, image, video, and satellite imagery. The information expressed by video, in nature, can provide realistic information. The connection of map and image of actual geographic object brings realistic visualization, which overcomes the limitation of conventional map-based GIS. In the suggested video GIS, location information is contained in video data and thereby enables two-sided searching, browsing, and analyses. In this paper, we suggest video GIS that integrates and manages video and map, and that constructs spatial information. We also develop a prototype system of video GIS in the field of roadside facility management, and show the results.

• Journal of Korean Society for Geospatial Information Science
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• v.2 no.2 s.4
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• pp.43-53
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• 1994

GSIS(geo-spatial information system), particularly when utilized in hazard management decision, is one of hazard analysis tool. Data of GSIS input from digitizing or scanning of map or aerial photos. This paper focuses upon the hazard prediction in GSIS and RS analysis to assess map, aerialphotos, satellite imagery and soil map. This study found computation of hazard area analysis. the results is formed as raster data model of quadtree. Authors knew more accurate results of overlay. This paper shows building up integrated data base as well as search of hazard area in aerial photographs.

• The Journal of Information Systems
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• v.16 no.3
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• pp.1-20
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• 2007

Most researches on the corporate credit rating are generally classified into the area of bankruptcy prediction and bond rating. The studies on bankruptcy prediction have focused on improving the performance in binary classification problem, since the criterion variable is categorical, bankrupt or non-bankrupt. The other studies on bond rating have predicted the credit ratings, which was already evaluated by bond rating experts. The financial institute, however, should perform effective loan evaluation and risk management by employing the corporate credit rating model, which is able to determine the credit of corporations. Therefore, this study presents a corporate credit rating method using business failure probability map(BFPM) and AHP(Analytic Hierarchy Process). The BFPM enables us to rate the credit of corporations according to business failure probability and data distribution or frequency on each credit rating level. Also, we developed AHP model for credit rating using non-financial information. For the purpose of completed credit rating model, we integrated the BFPM and the AHP model using both financial and non-financial information. Finally, the credit ratings of each firm are assigned by our proposed method. This method will be helpful for the loan evaluators of financial institutes to decide more objective and effective credit ratings.